HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios

NASA Astrophysics Data System (ADS)

Jones, Jeanne M.; Henry, Kevin; Wood, Nathan; Ng, Peter; Jamieson, Matthew

2017-12-01

The Hazard Exposure Reporting and Analytics (HERA) dynamic web application was created to provide a platform that makes research on community exposure to coastal-flooding hazards influenced by sea level rise accessible to planners, decision makers, and the public in a manner that is both easy to use and easily accessible. HERA allows users to (a) choose flood-hazard scenarios based on sea level rise and storm assumptions, (b) appreciate the modeling uncertainty behind a chosen hazard zone, (c) select one or several communities to examine exposure, (d) select the category of population or societal asset, and (e) choose how to look at results. The application is designed to highlight comparisons between (a) varying levels of sea level rise and coastal storms, (b) communities, (c) societal asset categories, and (d) spatial scales. Through a combination of spatial and graphical visualizations, HERA aims to help individuals and organizations to craft more informed mitigation and adaptation strategies for climate-driven coastal hazards. This paper summarizes the technologies used to maximize the user experience, in terms of interface design, visualization approaches, and data processing.

HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios

USGS Publications Warehouse

Jones, Jeanne M.; Henry, Kevin; Wood, Nathan J.; Ng, Peter; Jamieson, Matthew

2017-01-01

The Hazard Exposure Reporting and Analytics (HERA) dynamic web application was created to provide a platform that makes research on community exposure to coastal-flooding hazards influenced by sea level rise accessible to planners, decision makers, and the public in a manner that is both easy to use and easily accessible. HERA allows users to (a) choose flood-hazard scenarios based on sea level rise and storm assumptions, (b) appreciate the modeling uncertainty behind a chosen hazard zone, (c) select one or several communities to examine exposure, (d) select the category of population or societal asset, and (e) choose how to look at results. The application is designed to highlight comparisons between (a) varying levels of sea level rise and coastal storms, (b) communities, (c) societal asset categories, and (d) spatial scales. Through a combination of spatial and graphical visualizations, HERA aims to help individuals and organizations to craft more informed mitigation and adaptation strategies for climate-driven coastal hazards. This paper summarizes the technologies used to maximize the user experience, in terms of interface design, visualization approaches, and data processing.

Users’ participation and social influence during information spreading on Twitter

PubMed Central

Zhang, Xin; Han, Ding-Ding; Yang, Ruiqi; Zhang, Ziqiao

2017-01-01

Online Social Networks generate a prodigious wealth of real-time information at an incessant rate. In this paper we study the empirical data that crawled from Twitter to describe the topology and information spreading dynamics of Online Social Networks. We propose a measurement with three measures to state the efforts of users on Twitter to get their information spreading, based on the unique mechanisms for information retransmission on Twitter. It is noticed that small fraction of users with special performance on participation can gain great influence, while most other users play a role as middleware during the information propagation. Thus a community analysis is performed and four categories of users are found with different kinds of participation that cause the information dissemination dynamics. These suggest that exiting topological measures alone may reflect little about the influence of individuals and provide new insights for information spreading. PMID:28902906

EpiPOD : community vaccination and dispensing model user's guide.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Berry, M.; Samsa, M.; Walsh, D.

EpiPOD is a modeling system that enables local, regional, and county health departments to evaluate and refine their plans for mass distribution of antiviral and antibiotic medications and vaccines. An intuitive interface requires users to input as few or as many plan specifics as are available in order to simulate a mass treatment campaign. Behind the input interface, a system dynamics model simulates pharmaceutical supply logistics, hospital and first-responder personnel treatment, population arrival dynamics and treatment, and disease spread. When the simulation is complete, users have estimates of the number of illnesses in the population at large, the number ofmore » ill persons seeking treatment, and queuing and delays within the mass treatment system--all metrics by which the plan can be judged.« less

The Community Surface Dynamics Modeling System: Experiences on Building a Collaborative Modeling Platform

NASA Astrophysics Data System (ADS)

Overeem, I.; Hutton, E.; Kettner, A.; Peckham, S. D.; Syvitski, J. P.

2012-12-01

The Community Surface Dynamics Modeling System - CSDMS- develops a software platform with shared and coupled modules for modeling earth surface processes as a community resource. The framework allows prediction of water, sediment and nutrient transport through the landscape and seacape. The underlying paradigm is that the Earth surface we live on is a dynamic system; topography changes with seasons, with landslides and earthquakes, with erosion and deposition. The Earth Surface changes due to storms and floods, and important boundaries, like the coast, are ever-moving features. CSDMS sets out to make better predictions of these changes. Earth surface process modeling bridges the terrestrial, coastal and marine domains and requires understanding of the system over a range of time scales, which inherently needs interdisciplinarity. Members of CSDMS (~830 in July 2012) are largely from academic institutions (˜75%), followed by federal agencies (˜17%), and oil and gas companies (˜5%). Members and governmental bodies meet once annually and rely additionally on web-based information for communication. As an organization that relies on volunteer participation, CSDMS faces challenges to scientific collaboration. Encouraging volunteerism among its members to provide and adapt metadata and model code to be sufficiently standardized for coupling is crucial to building an integrated community modeling system. We here present CSDMS strategies aimed at providing the appropriate technical tools and cyberinfrastructure to support a variety of user types, ranging from advanced to novice modelers. Application of these advances in science is key, both into the educational realm and for managers and decision-makers. We discuss some of the implemented ideas to further organizational transparency and user engagement in small-scale governance, such as advanced trackers and voting systems for model development prioritization through the CSDMS wiki. We analyzed data on community contributions and novice user engagement and evaluate the effectiveness of CSDMS' strategies toward these two challenges over the first 5 years based on member and user data, surveys, computing logs and web log analysis. Analysis shows that sponsored member participation in annual meetings (˜30%) is relatively high. Direct CSDMS governance relies on ˜4% of members. About 15% of members contributed code and metadata, and 18% use the common supercomputing resources. Technological development and documentation lie predominantly in hands of funded members, and a small number of others (˜3% together). Potential new users are trained in clinics and courses, and on a one-to-one basis with quantified positive effects on self-efficacy and recruitment of new advanced developers.

Changing drug users' risk environments: peer health advocates as multi-level community change agents.

PubMed

Weeks, Margaret R; Convey, Mark; Dickson-Gomez, Julia; Li, Jianghong; Radda, Kim; Martinez, Maria; Robles, Eduardo

2009-06-01

Peer delivered, social oriented HIV prevention intervention designs are increasingly popular for addressing broader contexts of health risk beyond a focus on individual factors. Such interventions have the potential to affect multiple social levels of risk and change, including at the individual, network, and community levels, and reflect social ecological principles of interaction across social levels over time. The iterative and feedback dynamic generated by this multi-level effect increases the likelihood for sustained health improvement initiated by those trained to deliver the peer intervention. The Risk Avoidance Partnership (RAP), conducted with heroin and cocaine/crack users in Hartford, Connecticut, exemplified this intervention design and illustrated the multi-level effect on drug users' risk and harm reduction at the individual level, the social network level, and the larger community level. Implications of the RAP program for designing effective prevention programs and for analyzing long-term change to reduce HIV transmission among high-risk groups are discussed from this ecological and multi-level intervention perspective.

Detecting Anomalous Insiders in Collaborative Information Systems

PubMed Central

Chen, You; Nyemba, Steve; Malin, Bradley

2012-01-01

Collaborative information systems (CISs) are deployed within a diverse array of environments that manage sensitive information. Current security mechanisms detect insider threats, but they are ill-suited to monitor systems in which users function in dynamic teams. In this paper, we introduce the community anomaly detection system (CADS), an unsupervised learning framework to detect insider threats based on the access logs of collaborative environments. The framework is based on the observation that typical CIS users tend to form community structures based on the subjects accessed (e.g., patients’ records viewed by healthcare providers). CADS consists of two components: 1) relational pattern extraction, which derives community structures and 2) anomaly prediction, which leverages a statistical model to determine when users have sufficiently deviated from communities. We further extend CADS into MetaCADS to account for the semantics of subjects (e.g., patients’ diagnoses). To empirically evaluate the framework, we perform an assessment with three months of access logs from a real electronic health record (EHR) system in a large medical center. The results illustrate our models exhibit significant performance gains over state-of-the-art competitors. When the number of illicit users is low, MetaCADS is the best model, but as the number grows, commonly accessed semantics lead to hiding in a crowd, such that CADS is more prudent. PMID:24489520

Flexible Web services integration: a novel personalised social approach

NASA Astrophysics Data System (ADS)

Metrouh, Abdelmalek; Mokhati, Farid

2018-05-01

Dynamic composition or integration remains one of the key objectives of Web services technology. This paper aims to propose an innovative approach of dynamic Web services composition based on functional and non-functional attributes and individual preferences. In this approach, social networks of Web services are used to maintain interactions between Web services in order to select and compose Web services that are more tightly related to user's preferences. We use the concept of Web services community in a social network of Web services to reduce considerably their search space. These communities are created by the direct involvement of Web services providers.

Community-Based ECG Monitoring System for Patients with Cardiovascular Diseases.

PubMed

Lin, Bor-Shyh; Wong, Alice M; Tseng, Kevin C

2016-04-01

This study aims to develop a community-based electrocardiogram (ECG) monitoring system for cardiac outpatients to wirelessly detect heart rate, provide personalized healthcare, and enhance interactive social contact because of the prevalence of deaths from cardiovascular disease and the growing problem of aging in the world. The system not only strengthens the performance of the ECG monitoring system but also emphasizes the ergonomic design of wearable devices and user interfaces. In addition, it enables medical professionals to diagnose cardiac symptoms remotely and electronically manage medical reports and suggestions. The experimental result shows high performance of the dry electrode, even in dynamic conditions. The comparison result with different ECG healthcare systems shows the essential factors that the system should possess and the capability of the proposed system. Finally, a user survey was conducted based on the unified theory of acceptance and users of technology (UTAUT) model.

Characterizing the community use of an ultralight wheelchair with "on the fly" adjustable seating functions: A pilot study.

PubMed

Mattie, Johanne; Borisoff, Jaimie; Miller, William C; Noureddin, Borna

2017-01-01

An ultralight manual wheelchair that allows users to independently adjust rear seat height and backrest angle during normal everyday usage was recently commercialized. Prior research has been performed on wheelchair tilt, recline, and seat elevation use in the community, however no such research has been done on this new class of manual ultralight wheelchair with "on the fly" adjustments. The objective of this pilot study was to investigate and characterize the use of the two adjustable seating functions available on the Elevation™ ultralight dynamic wheelchair during its use in the community. Eight participants had data loggers installed onto their own wheelchair for seven days to measure rear seat height, backrest angle position, occupied sitting time, and distance traveled. Analysis of rear seat height and backrest adjustment data revealed considerable variability in the frequency of use and positions used by participants. There was a wide spread of mean daily rear seat heights among participants, from 34.1 cm to 46.7 cm. Two sub-groups of users were further identified: those who sat habitually at a single typical rear seat height, and those who varied their rear seat height more continuously. Findings also showed that participants used the rear seat height adjustment feature significantly more often than the backrest adjustment feature. This obvious contrast in feature use may indicate that new users of this class of wheelchair may benefit from specific training. While the small sample size and exploratory nature of this study limit the generalizability of our results, our findings offer a first look at how active wheelchairs users are using a new class of ultralight wheelchair with "on the fly" seating adjustments in their communities. Further studies are recommended to better understand the impact of dynamic seating and positioning on activity, participation and quality of life.

Characterizing the community use of an ultralight wheelchair with “on the fly” adjustable seating functions: A pilot study

PubMed Central

Mattie, Johanne; Borisoff, Jaimie; Miller, William C.; Noureddin, Borna

2017-01-01

An ultralight manual wheelchair that allows users to independently adjust rear seat height and backrest angle during normal everyday usage was recently commercialized. Prior research has been performed on wheelchair tilt, recline, and seat elevation use in the community, however no such research has been done on this new class of manual ultralight wheelchair with “on the fly” adjustments. The objective of this pilot study was to investigate and characterize the use of the two adjustable seating functions available on the Elevation™ ultralight dynamic wheelchair during its use in the community. Eight participants had data loggers installed onto their own wheelchair for seven days to measure rear seat height, backrest angle position, occupied sitting time, and distance traveled. Analysis of rear seat height and backrest adjustment data revealed considerable variability in the frequency of use and positions used by participants. There was a wide spread of mean daily rear seat heights among participants, from 34.1 cm to 46.7 cm. Two sub-groups of users were further identified: those who sat habitually at a single typical rear seat height, and those who varied their rear seat height more continuously. Findings also showed that participants used the rear seat height adjustment feature significantly more often than the backrest adjustment feature. This obvious contrast in feature use may indicate that new users of this class of wheelchair may benefit from specific training. While the small sample size and exploratory nature of this study limit the generalizability of our results, our findings offer a first look at how active wheelchairs users are using a new class of ultralight wheelchair with “on the fly” seating adjustments in their communities. Further studies are recommended to better understand the impact of dynamic seating and positioning on activity, participation and quality of life. PMID:28278254

Re-Architecting the DOD Acquisition Process: Transition to the Information Age

DTIC Science & Technology

2006-06-01

Testimony before the subcommittee on AirLand Committee on Armed Services Unites States Senate, CSIS Report, 15 Nov 2005. Hippel , Eric von ...both the military and commercial communities that users are the innovators of the world. ( Hippel ) 4.2 - Dynamics of Army Transformation

Properties of on-line social systems

NASA Astrophysics Data System (ADS)

Grabowski, A.; Kruszewska, N.; Kosiński, R. A.

2008-11-01

We study properties of five different social systems: (i) internet society of friends consisting of over 106 people, (ii) social network consisting of 3 × 104 individuals, who interact in a large virtual world of Massive Multiplayer Online Role Playing Games (MMORPGs), (iii) over 106 users of music community website, (iv) over 5 × 106 users of gamers community server and (v) over 0.25 × 106 users of books admirer website. Individuals included in large social network form an Internet community and organize themselves in groups of different sizes. The destiny of those systems, as well as the method of creating of new connections, are different, however we found that the properties of these networks are very similar. We have found that the network components size distribution follow the power-law scaling form. In all five systems we have found interesting scaling laws concerning human dynamics. Our research has shown how long people are interested in a single task, how much time they devote to it and how fast they are making friends. It is surprising that the time evolution of an individual connectivity is very similar in each system.

Towards a Ubiquitous User Model for Profile Sharing and Reuse

PubMed Central

de Lourdes Martinez-Villaseñor, Maria; Gonzalez-Mendoza, Miguel; Hernandez-Gress, Neil

2012-01-01

People interact with systems and applications through several devices and are willing to share information about preferences, interests and characteristics. Social networking profiles, data from advanced sensors attached to personal gadgets, and semantic web technologies such as FOAF and microformats are valuable sources of personal information that could provide a fair understanding of the user, but profile information is scattered over different user models. Some researchers in the ubiquitous user modeling community envision the need to share user model's information from heterogeneous sources. In this paper, we address the syntactic and semantic heterogeneity of user models in order to enable user modeling interoperability. We present a dynamic user profile structure based in Simple Knowledge Organization for the Web (SKOS) to provide knowledge representation for ubiquitous user model. We propose a two-tier matching strategy for concept schemas alignment to enable user modeling interoperability. Our proposal is proved in the application scenario of sharing and reusing data in order to deal with overweight and obesity. PMID:23201995

A Proposed Intelligent Policy-Based Interface for a Mobile eHealth Environment

NASA Astrophysics Data System (ADS)

Tavasoli, Amir; Archer, Norm

Users of mobile eHealth systems are often novices, and the learning process for them may be very time consuming. In order for systems to be attractive to potential adopters, it is important that the interface should be very convenient and easy to learn. However, the community of potential users of a mobile eHealth system may be quite varied in their requirements, so the system must be able to adapt easily to suit user preferences. One way to accomplish this is to have the interface driven by intelligent policies. These policies can be refined gradually, using inputs from potential users, through intelligent agents. This paper develops a framework for policy refinement for eHealth mobile interfaces, based on dynamic learning from user interactions.

Echo Chambers: Emotional Contagion and Group Polarization on Facebook

NASA Astrophysics Data System (ADS)

Del Vicario, Michela; Vivaldo, Gianna; Bessi, Alessandro; Zollo, Fabiana; Scala, Antonio; Caldarelli, Guido; Quattrociocchi, Walter

2016-12-01

Recent findings showed that users on Facebook tend to select information that adhere to their system of beliefs and to form polarized groups - i.e., echo chambers. Such a tendency dominates information cascades and might affect public debates on social relevant issues. In this work we explore the structural evolution of communities of interest by accounting for users emotions and engagement. Focusing on the Facebook pages reporting on scientific and conspiracy content, we characterize the evolution of the size of the two communities by fitting daily resolution data with three growth models - i.e. the Gompertz model, the Logistic model, and the Log-logistic model. Although all the models appropriately describe the data structure, the Logistic one shows the best fit. Then, we explore the interplay between emotional state and engagement of users in the group dynamics. Our findings show that communities’ emotional behavior is affected by the users’ involvement inside the echo chamber. Indeed, to an higher involvement corresponds a more negative approach. Moreover, we observe that, on average, more active users show a faster shift towards the negativity than less active ones.

European grid services for global earth science

NASA Astrophysics Data System (ADS)

Brewer, S.; Sipos, G.

2012-04-01

This presentation will provide an overview of the distributed computing services that the European Grid Infrastructure (EGI) offers to the Earth Sciences community and also explain the processes whereby Earth Science users can engage with the infrastructure. One of the main overarching goals for EGI over the coming year is to diversify its user-base. EGI therefore - through the National Grid Initiatives (NGIs) that provide the bulk of resources that make up the infrastructure - offers a number of routes whereby users, either individually or as communities, can make use of its services. At one level there are two approaches to working with EGI: either users can make use of existing resources and contribute to their evolution and configuration; or alternatively they can work with EGI, and hence the NGIs, to incorporate their own resources into the infrastructure to take advantage of EGI's monitoring, networking and managing services. Adopting this approach does not imply a loss of ownership of the resources. Both of these approaches are entirely applicable to the Earth Sciences community. The former because researchers within this field have been involved with EGI (and previously EGEE) as a Heavy User Community and the latter because they have very specific needs, such as incorporating HPC services into their workflows, and these will require multi-skilled interventions to fully provide such services. In addition to the technical support services that EGI has been offering for the last year or so - the applications database, the training marketplace and the Virtual Organisation services - there now exists a dynamic short-term project framework that can be utilised to establish and operate services for Earth Science users. During this talk we will present a summary of various on-going projects that will be of interest to Earth Science users with the intention that suggestions for future projects will emerge from the subsequent discussions: • The Federated Cloud Task Force is already providing a cloud infrastructure through a few committed NGIs. This is being made available to research communities participating in the Task Force and the long-term aim is to integrate these national clouds into a pan-European infrastructure for scientific communities. • The MPI group provides support for application developers to port and scale up parallel applications to the global European Grid Infrastructure. • A lively portal developer and provider community that is able to setup and operate custom, application and/or community specific portals for members of the Earth Science community to interact with EGI. • A project to assess the possibilities for federated identity management in EGI and the readiness of EGI member states for federated authentication and authorisation mechanisms. • Operating resources and user support services to process data with new types of services and infrastructures, such as desktop grids, map-reduce frameworks, GPU clusters.

NASA EOSDIS Enabling Science by Improving User Knowledge

NASA Astrophysics Data System (ADS)

Lindsay, F. E.; Brennan, J.; Blumenfeld, J.

2016-12-01

NASA's Earth Observing System Data and Information System (EOSDIS) has been a central component of the NASA Earth observation program since the 1990's. The data collected by NASA's remote sensing instruments, airborne platforms and field campaigns represent a significant public investment in Earth science research. EOSDIS provides free and open access of these data to a diverse end-user community worldwide. Over time the EOSDIS data user community has grown substantially in both number and in the diversity of their needs. Commensurate with this growth, there also have been substantial changes in internet-based technologies and the expectation of users demanding more sophisticated EOSDIS information products describing, highlighting and providing insight to our vast data collections. To meet these increased expectations and to more fully engage our users, EOSDIS is evolving our use of traditional forms of purely static methods of public engagement such as stand-alone text and imagery toward more immersive and interactive forms of communications. This paper highlights and elucidates the methods and forms used by EOSDIS in this emerging world of dynamic and interactive media. Lessons learned and the impacts of applying these newer methods are explained and include several examples from our current efforts. These examples include interactive, on-line webinars focusing on data discovery and access (including tool usage), informal and informative `data chats' with data experts across our EOSDIS community, and profiles of scientists, researchers, and managers actively using EOSDIS data. Our efforts also include improved conference and meeting interactions with data users through the ability to use EOSDIS data interactively during hyperwall talks and the EOSDIS Worldview data visualization and exploration client. The suite of internet-based, interactive capabilities and technologies has allowed EOSDIS to expand our user community by making the data and applications from numerous Earth science missions more engaging, approachable and meaningful.

VALUE - A Framework to Validate Downscaling Approaches for Climate Change Studies

NASA Astrophysics Data System (ADS)

Maraun, Douglas; Widmann, Martin; Gutiérrez, José M.; Kotlarski, Sven; Chandler, Richard E.; Hertig, Elke; Wibig, Joanna; Huth, Radan; Wilke, Renate A. I.

2015-04-01

VALUE is an open European network to validate and compare downscaling methods for climate change research. VALUE aims to foster collaboration and knowledge exchange between climatologists, impact modellers, statisticians, and stakeholders to establish an interdisciplinary downscaling community. A key deliverable of VALUE is the development of a systematic validation framework to enable the assessment and comparison of both dynamical and statistical downscaling methods. Here, we present the key ingredients of this framework. VALUE's main approach to validation is user-focused: starting from a specific user problem, a validation tree guides the selection of relevant validation indices and performance measures. Several experiments have been designed to isolate specific points in the downscaling procedure where problems may occur: what is the isolated downscaling skill? How do statistical and dynamical methods compare? How do methods perform at different spatial scales? Do methods fail in representing regional climate change? How is the overall representation of regional climate, including errors inherited from global climate models? The framework will be the basis for a comprehensive community-open downscaling intercomparison study, but is intended also to provide general guidance for other validation studies.

VALUE: A framework to validate downscaling approaches for climate change studies

NASA Astrophysics Data System (ADS)

Maraun, Douglas; Widmann, Martin; Gutiérrez, José M.; Kotlarski, Sven; Chandler, Richard E.; Hertig, Elke; Wibig, Joanna; Huth, Radan; Wilcke, Renate A. I.

2015-01-01

VALUE is an open European network to validate and compare downscaling methods for climate change research. VALUE aims to foster collaboration and knowledge exchange between climatologists, impact modellers, statisticians, and stakeholders to establish an interdisciplinary downscaling community. A key deliverable of VALUE is the development of a systematic validation framework to enable the assessment and comparison of both dynamical and statistical downscaling methods. In this paper, we present the key ingredients of this framework. VALUE's main approach to validation is user- focused: starting from a specific user problem, a validation tree guides the selection of relevant validation indices and performance measures. Several experiments have been designed to isolate specific points in the downscaling procedure where problems may occur: what is the isolated downscaling skill? How do statistical and dynamical methods compare? How do methods perform at different spatial scales? Do methods fail in representing regional climate change? How is the overall representation of regional climate, including errors inherited from global climate models? The framework will be the basis for a comprehensive community-open downscaling intercomparison study, but is intended also to provide general guidance for other validation studies.

PRay - A graphical user interface for interactive visualization and modification of rayinvr models

NASA Astrophysics Data System (ADS)

Fromm, T.

2016-01-01

PRay is a graphical user interface for interactive displaying and editing of velocity models for seismic refraction. It is optimized for editing rayinvr models but can also be used as a dynamic viewer for ray tracing results from other software. The main features are the graphical editing of nodes and fast adjusting of the display (stations and phases). It can be extended by user-defined shell scripts and links to phase picking software. PRay is open source software written in the scripting language Perl, runs on Unix-like operating systems including Mac OS X and provides a version controlled source code repository for community development (https://sourceforge.net/projects/pray-plot-rayinvr/).

Distributed observing facility for remote access to multiple telescopes

NASA Astrophysics Data System (ADS)

Callegari, Massimo; Panciatici, Antonio; Pasian, Fabio; Pucillo, Mauro; Santin, Paolo; Aro, Simo; Linde, Peter; Duran, Maria A.; Rodriguez, Jose A.; Genova, Francoise; Ochsenbein, Francois; Ponz, J. D.; Talavera, Antonio

2000-06-01

The REMOT (Remote Experiment Monitoring and conTrol) project was financed by 1996 by the European Community in order to investigate the possibility of generalizing the remote access to scientific instruments. After the feasibility of this idea was demonstrated, the DYNACORE (DYNAmically, COnfigurable Remote Experiment monitoring and control) project was initiated as a REMOT follow-up. Its purpose is to develop software technology to support scientists in two different domains, astronomy and plasma physics. The resulting system allows (1) simultaneous multiple user access to different experimental facilities, (2) dynamic adaptability to different kinds of real instruments, (3) exploitation of the communication infrastructures features, (4) ease of use through intuitive graphical interfaces, and (5) additional inter-user communication using off-the-shelf projects such as video-conference tools, chat programs and shared blackboards.

Loyalty in Online Communities.

PubMed

Hamilton, William L; Zhang, Justine; Danescu-Niculescu-Mizil, Cristian; Jurafsky, Dan; Leskovec, Jure

2017-05-01

Loyalty is an essential component of multi-community engagement. When users have the choice to engage with a variety of different communities, they often become loyal to just one, focusing on that community at the expense of others. However, it is unclear how loyalty is manifested in user behavior, or whether certain community characteristics encourage loyalty. In this paper we operationalize loyalty as a user-community relation: users loyal to a community consistently prefer it over all others; loyal communities retain their loyal users over time. By exploring a large set of Reddit communities, we reveal that loyalty is manifested in remarkably consistent behaviors. Loyal users employ language that signals collective identity and engage with more esoteric, less popular content, indicating that they may play a curational role in surfacing new material. Loyal communities have denser user-user interaction networks and lower rates of triadic closure, suggesting that community-level loyalty is associated with more cohesive interactions and less fragmentation into subgroups. We exploit these general patterns to predict future rates of loyalty. Our results show that a user's propensity to become loyal is apparent from their initial interactions with a community, suggesting that some users are intrinsically loyal from the very beginning.

Emergence of bursts and communities in evolving weighted networks.

PubMed

Jo, Hang-Hyun; Pan, Raj Kumar; Kaski, Kimmo

2011-01-01

Understanding the patterns of human dynamics and social interaction and the way they lead to the formation of an organized and functional society are important issues especially for techno-social development. Addressing these issues of social networks has recently become possible through large scale data analysis of mobile phone call records, which has revealed the existence of modular or community structure with many links between nodes of the same community and relatively few links between nodes of different communities. The weights of links, e.g., the number of calls between two users, and the network topology are found correlated such that intra-community links are stronger compared to the weak inter-community links. This feature is known as Granovetter's "The strength of weak ties" hypothesis. In addition to this inhomogeneous community structure, the temporal patterns of human dynamics turn out to be inhomogeneous or bursty, characterized by the heavy tailed distribution of time interval between two consecutive events, i.e., inter-event time. In this paper, we study how the community structure and the bursty dynamics emerge together in a simple evolving weighted network model. The principal mechanisms behind these patterns are social interaction by cyclic closure, i.e., links to friends of friends and the focal closure, links to individuals sharing similar attributes or interests, and human dynamics by task handling process. These three mechanisms have been implemented as a network model with local attachment, global attachment, and priority-based queuing processes. By comprehensive numerical simulations we show that the interplay of these mechanisms leads to the emergence of heavy tailed inter-event time distribution and the evolution of Granovetter-type community structure. Moreover, the numerical results are found to be in qualitative agreement with empirical analysis results from mobile phone call dataset.

Community evolution mining and analysis in social network

NASA Astrophysics Data System (ADS)

Liu, Hongtao; Tian, Yuan; Liu, Xueyan; Jian, Jie

2017-03-01

With the development of digital and network technology, various social platforms emerge. These social platforms have greatly facilitated access to information, attracting more and more users. They use these social platforms every day to work, study and communicate, so every moment social platforms are generating massive amounts of data. These data can often be modeled as complex networks, making large-scale social network analysis possible. In this paper, the existing evolution classification model of community has been improved based on community evolution relationship over time in dynamic social network, and the Evolution-Tree structure is proposed which can show the whole life cycle of the community more clearly. The comparative test result shows that the improved model can excavate the evolution relationship of the community well.

User expectations for multibeam echo sounders backscatter strength data-looking back into the future

NASA Astrophysics Data System (ADS)

Lucieer, Vanessa; Roche, Marc; Degrendele, Koen; Malik, Mashkoor; Dolan, Margaret; Lamarche, Geoffroy

2018-06-01

With the ability of multibeam echo sounders (MBES) to measure backscatter strength (BS) as a function of true angle of insonification across the seafloor, came a new recognition of the potential of backscatter measurements to remotely characterize the properties of the seafloor. Advances in transducer design, digital electronics, signal processing capabilities, navigation, and graphic display devices, have improved the resolution and particularly the dynamic range available to sonar and processing software manufacturers. Alongside these improvements the expectations of what the data can deliver has also grown. In this paper, we identify these user-expectations and explore how MBES backscatter is utilized by different communities involved in marine seabed research at present, and the aspirations that these communities have for the data in the future. The results presented here are based on a user survey conducted by the GeoHab (Marine Geological and Biological Habitat Mapping) association. This paper summarises the different processing procedures employed to extract useful information from MBES backscatter data and the various intentions for which the user community collect the data. We show how a range of backscatter output products are generated from the different processing procedures, and how these results are taken up by different scientific disciplines, and also identify common constraints in handling MBES BS data. Finally, we outline our expectations for the future of this unique and important data source for seafloor mapping and characterisation.

From Help-Seekers to Influential Users: A Systematic Review of Participation Styles in Online Health Communities

PubMed Central

Ali, Kathina; Cunningham, John Alastair; Griffiths, Kathleen Margaret

2015-01-01

Background Understanding how people participate in and contribute to online health communities (OHCs) is useful knowledge in multiple domains. It is helpful for community managers in developing strategies for building community, for organizations in disseminating information about health interventions, and for researchers in understanding the social dynamics of peer support. Objective We sought to determine if any patterns were apparent in the nature of user participation across online health communities. Methods The current study involved a systematic review of all studies that have investigated the nature of participation in an online health community and have provided a quantifiable method for categorizing a person based on their participation style. A systematic search yielded 20 papers. Results Participatory styles were classified as either multidimensional (based on multiple metrics) or unidimensional (based on one metric). With respect to the multidimensional category, a total of 41 different participation styles were identified ranging from Influential Users who were leaders on the board to Topic-Focused Responders who focused on a specific topic and tended to respond to rather than initiate posts. However, there was little overlap in participation styles identified both across OHCs for different health conditions and within OHCs for specific health conditions. Five of the 41 styles emerged in more than one study (Hubs, Authorities, Facilitators, Prime Givers, and Discussants), but the remainder were reported in only one study. The focus of the unidimensional studies was on level of engagement and particularly on high-engaged users. Eight different metrics were used to evaluate level of engagement with the greatest focus on frequency of posts. Conclusions With the exception of high-engaged users based on high post frequency, the current review found little evidence for consistent participatory styles across different health communities. However, this area of research is in its infancy, with most of the studies included in the review being published in the last 2 years. Nevertheless, the review delivers a nomenclature for OHC participation styles and metrics and discusses important methodological issues that will provide a basis for future comparative research in the area. Further studies are required to systematically investigate a range of participatory styles, to investigate their association with different types of online health communities and to determine the contribution of different participatory styles within and across online health communities. PMID:26627369

From Help-Seekers to Influential Users: A Systematic Review of Participation Styles in Online Health Communities.

PubMed

Carron-Arthur, Bradley; Ali, Kathina; Cunningham, John Alastair; Griffiths, Kathleen Margaret

2015-12-01

Understanding how people participate in and contribute to online health communities (OHCs) is useful knowledge in multiple domains. It is helpful for community managers in developing strategies for building community, for organizations in disseminating information about health interventions, and for researchers in understanding the social dynamics of peer support. We sought to determine if any patterns were apparent in the nature of user participation across online health communities. The current study involved a systematic review of all studies that have investigated the nature of participation in an online health community and have provided a quantifiable method for categorizing a person based on their participation style. A systematic search yielded 20 papers. Participatory styles were classified as either multidimensional (based on multiple metrics) or unidimensional (based on one metric). With respect to the multidimensional category, a total of 41 different participation styles were identified ranging from Influential Users who were leaders on the board to Topic-Focused Responders who focused on a specific topic and tended to respond to rather than initiate posts. However, there was little overlap in participation styles identified both across OHCs for different health conditions and within OHCs for specific health conditions. Five of the 41 styles emerged in more than one study (Hubs, Authorities, Facilitators, Prime Givers, and Discussants), but the remainder were reported in only one study. The focus of the unidimensional studies was on level of engagement and particularly on high-engaged users. Eight different metrics were used to evaluate level of engagement with the greatest focus on frequency of posts. With the exception of high-engaged users based on high post frequency, the current review found little evidence for consistent participatory styles across different health communities. However, this area of research is in its infancy, with most of the studies included in the review being published in the last 2 years. Nevertheless, the review delivers a nomenclature for OHC participation styles and metrics and discusses important methodological issues that will provide a basis for future comparative research in the area. Further studies are required to systematically investigate a range of participatory styles, to investigate their association with different types of online health communities and to determine the contribution of different participatory styles within and across online health communities.

Dynamics of bloggers’ communities: Bipartite networks from empirical data and agent-based modeling

NASA Astrophysics Data System (ADS)

Mitrović, Marija; Tadić, Bosiljka

2012-11-01

We present an analysis of the empirical data and the agent-based modeling of the emotional behavior of users on the Web portals where the user interaction is mediated by posted comments, like Blogs and Diggs. We consider the dataset of discussion-driven popular Diggs, in which all comments are screened by machine-learning emotion detection in the text, to determine positive and negative valence (attractiveness and aversiveness) of each comment. By mapping the data onto a suitable bipartite network, we perform an analysis of the network topology and the related time-series of the emotional comments. The agent-based model is then introduced to simulate the dynamics and to capture the emergence of the emotional behaviors and communities. The agents are linked to posts on a bipartite network, whose structure evolves through their actions on the posts. The emotional states (arousal and valence) of each agent fluctuate in time, subject to the current contents of the posts to which the agent is exposed. By an agent’s action on a post its current emotions are transferred to the post. The model rules and the key parameters are inferred from the considered empirical data to ensure their realistic values and mutual consistency. The model assumes that the emotional arousal over posts drives the agent’s action. The simulations are preformed for the case of constant flux of agents and the results are analyzed in full analogy with the empirical data. The main conclusions are that the emotion-driven dynamics leads to long-range temporal correlations and emergent networks with community structure, that are comparable with the ones in the empirical system of popular posts. In view of pure emotion-driven agents actions, this type of comparisons provide a quantitative measure for the role of emotions in the dynamics on real blogs. Furthermore, the model reveals the underlying mechanisms which relate the post popularity with the emotion dynamics and the prevalence of negative emotions (critique). We also demonstrate how the community structure is tuned by varying a relevant parameter in the model. All data used in these works are fully anonymized.

Establishing a Professional Development Network around Dynamic Mathematics Software in England

ERIC Educational Resources Information Center

Lavicza, Zsolt; Hohenwarter, Markus; Jones, Keith; Lu, Allison; Dawes, Mark

2010-01-01

In this paper, we will outline some results of an NCETM (National Centre for Excellence in the Teaching of Mathematics) funded project that aimed to establish a professional development network with an open-source mathematical software--GeoGebra--in England. During the past few years a large international user and developer community has formed…

Loyalty in Online Communities

PubMed Central

Hamilton, William L.; Zhang, Justine; Danescu-Niculescu-Mizil, Cristian; Jurafsky, Dan; Leskovec, Jure

2018-01-01

Loyalty is an essential component of multi-community engagement. When users have the choice to engage with a variety of different communities, they often become loyal to just one, focusing on that community at the expense of others. However, it is unclear how loyalty is manifested in user behavior, or whether certain community characteristics encourage loyalty. In this paper we operationalize loyalty as a user-community relation: users loyal to a community consistently prefer it over all others; loyal communities retain their loyal users over time. By exploring a large set of Reddit communities, we reveal that loyalty is manifested in remarkably consistent behaviors. Loyal users employ language that signals collective identity and engage with more esoteric, less popular content, indicating that they may play a curational role in surfacing new material. Loyal communities have denser user-user interaction networks and lower rates of triadic closure, suggesting that community-level loyalty is associated with more cohesive interactions and less fragmentation into subgroups. We exploit these general patterns to predict future rates of loyalty. Our results show that a user’s propensity to become loyal is apparent from their initial interactions with a community, suggesting that some users are intrinsically loyal from the very beginning. PMID:29354326

A standard format and a graphical user interface for spin system specification.

PubMed

Biternas, A G; Charnock, G T P; Kuprov, Ilya

2014-03-01

We introduce a simple and general XML format for spin system description that is the result of extensive consultations within Magnetic Resonance community and unifies under one roof all major existing spin interaction specification conventions. The format is human-readable, easy to edit and easy to parse using standard XML libraries. We also describe a graphical user interface that was designed to facilitate construction and visualization of complicated spin systems. The interface is capable of generating input files for several popular spin dynamics simulation packages. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control.

PubMed

Salathé, Marcel; Khandelwal, Shashank

2011-10-01

There is great interest in the dynamics of health behaviors in social networks and how they affect collective public health outcomes, but measuring population health behaviors over time and space requires substantial resources. Here, we use publicly available data from 101,853 users of online social media collected over a time period of almost six months to measure the spatio-temporal sentiment towards a new vaccine. We validated our approach by identifying a strong correlation between sentiments expressed online and CDC-estimated vaccination rates by region. Analysis of the network of opinionated users showed that information flows more often between users who share the same sentiments - and less often between users who do not share the same sentiments - than expected by chance alone. We also found that most communities are dominated by either positive or negative sentiments towards the novel vaccine. Simulations of infectious disease transmission show that if clusters of negative vaccine sentiments lead to clusters of unprotected individuals, the likelihood of disease outbreaks is greatly increased. Online social media provide unprecedented access to data allowing for inexpensive and efficient tools to identify target areas for intervention efforts and to evaluate their effectiveness.

A graph theoretical perspective of a drug abuse epidemic model

NASA Astrophysics Data System (ADS)

Nyabadza, F.; Mukwembi, S.; Rodrigues, B. G.

2011-05-01

A drug use epidemic can be represented by a finite number of states and transition rules that govern the dynamics of drug use in each discrete time step. This paper investigates the spread of drug use in a community where some users are in treatment and others are not in treatment, citing South Africa as an example. In our analysis, we consider the neighbourhood prevalence of each individual, i.e., the proportion of the individual’s drug user contacts who are not in treatment amongst all of his or her contacts. We introduce parameters α∗, β∗ and γ∗, depending on the neighbourhood prevalence, which govern the spread of drug use. We examine how changes in α∗, β∗ and γ∗ affect the system dynamics. Simulations presented support the theoretical results.

Dynamic image fusion and general observer preference

NASA Astrophysics Data System (ADS)

Burks, Stephen D.; Doe, Joshua M.

2010-04-01

Recent developments in image fusion give the user community many options for ways of presenting the imagery to an end-user. Individuals at the US Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate have developed an electronic system that allows users to quickly and efficiently determine optimal image fusion algorithms and color parameters based upon collected imagery and videos from environments that are typical to observers in a military environment. After performing multiple multi-band data collections in a variety of military-like scenarios, different waveband, fusion algorithm, image post-processing, and color choices are presented to observers as an output of the fusion system. The observer preferences can give guidelines as to how specific scenarios should affect the presentation of fused imagery.

New Media E/PO: Building a Digital Astronomy Community

NASA Astrophysics Data System (ADS)

Gay, Pamela L.

2008-05-01

Today's communications landscape is rich with new technologies. Cell phones and laptops are the constant companions of content consumers, and as we plan tomorrow's Education and Public Outreach programs, we need to consider how to most effectively utilize these technologies with their new, dynamic content possibilities - We need to use New Media. The field of New Media includes dynamic content sites such as: blogs, pod/vodcasts, Flickr, Facebook, Ustream, Twitter, and Second Life. The first part of this talk will summarize what New Media is available in the field of astronomy. All new media technologies have one thing in common: Users can easily create and input their own content and/or comments. These new media users and content contributors can just as easily be professional researchers, E/PO professionals, amateur astronomers, stay-at-home parents, and school kids. All are welcome in the online community, and today, all voices are digitally joined in the cacophony of astronomy new media content. This rich diversity supports many opportunities for learning, mentoring, content distribution, and discussion of ideas (including the debunking of bad ideas). In the second half of this talk, ways to use new media to build a community that shares, promotes, and comments on content is discussed, and techniques for dealing with the high flux of content are outlined. Also covered are the considerations that need to be made to make content as broadly accessible as possible.

Human dynamic model co-driven by interest and social identity in the MicroBlog community

NASA Astrophysics Data System (ADS)

Yan, Qiang; Yi, Lanli; Wu, Lianren

2012-02-01

This paper analyzes the behavior of releasing messages in the MicroBlog community and presents a human dynamic model co-driven by interest and social identity. According to the empirical analysis and simulation results, the messaging interval distribution follows a power law, which is mainly influenced by the degree of users' interests. Meanwhile, social identity plays a significant role regarding the change of interests and may slow down the decline of the latter. A positive correlation between social identity and numbers of comments or forwarding of messages is illustrated. Besides, the analysis of data for each 24 h reveals obvious differences between micro-blogging and website visits, email, instant communication, and the use of mobile phones, reflecting how people use small amounts of time via mobile Internet technology.

User roles and contributions during the new product development process in collaborative innovation communities.

PubMed

Guo, Wei; Zheng, Qing; An, Weijin; Peng, Wei

2017-09-01

Collaborative innovation (co-innovation) community emerges as a new product design platform where companies involve users in the new product development (NPD) process. Large numbers of users participate and contribute to the process voluntarily. This exploratory study investigates the heterogeneous roles of users based on a global co-innovation project in online community. Content analysis, social network analysis and cluster method are employed to measure user behaviors, distinguish user roles, and analyze user contributions. The study identifies six user roles that emerge during the NPD process in co-innovation community: project leader, active designer, generalist, communicator, passive designer, and observer. The six user roles differ in their contribution forms and quality. This paper contributes to research on co-innovation in online communities, including design team structure, user roles and their contribution to design task and solution, as well as user value along the process. In addition, the study provides practices guidance on implementing project, attracting users, and designing platform for co-innovation community practitioners. Copyright © 2017 Elsevier Ltd. All rights reserved.

Transitioning illicit drug preferences and emerging user identities in Ohio: The proliferation of methamphetamine use among African Americans.

PubMed

Flynn, Karen Coen; Hoffer, Lee D

2017-07-05

Understanding the social dynamics of local methamphetamine markets is critical to improving community health and reducing social costs associated with illicit drug use. We examine a local drug market in Summit County, Ohio, wherein methamphetamine users ascribe themselves different ethnic identities from those long associated with the drug elsewhere in the United States. Qualitative interviews with 52 study participants demonstrate that very poor and homeless White males and females are now using methamphetamine; however, even more surprising is that 31 of the participants identified themselves as poor or homeless, male or female African, Native, biracial, or multiracial Americans. The drug use trajectory of these 31 participants in particular involved a transition from a historical preference for crack to a present one for methamphetamine and, in some cases, a preference for concurrent use of methamphetamine and heroin. Many of these methamphetamine users also emphasized their ethnic identity to distinguish themselves as nonproducers of methamphetamine in comparison to Whites, who are commonly associated with methamphetamine production. Findings appear to suggest an emergent means of identity management resulting from the ethnic diversity of users in this methamphetamine market. These findings may have relevance in other communities with similar demographics and drug markets and may hold important implications for drug treatment, policy-making, and law enforcement professionals' work associated with methamphetamine users, producers, and distributors.

Sensitivity of Force Fields on Mechanical Properties of Metals Predicted by Atomistic Simulations

NASA Astrophysics Data System (ADS)

Rassoulinejad-Mousavi, Seyed Moein; Zhang, Yuwen

Increasing number of micro/nanoscale studies for scientific and engineering applications, leads to huge deployment of atomistic simulations such as molecular dynamics and Monte-Carlo simulation. Many complains from users in the simulation community arises for obtaining wrong results notwithstanding of correct simulation procedure and conditions. Improper choice of force field, known as interatomic potential is the likely causes. For the sake of users' assurance, convenience and time saving, several interatomic potentials are evaluated by molecular dynamics. Elastic properties of multiple FCC and BCC pure metallic species are obtained by LAMMPS, using different interatomic potentials designed for pure species and their alloys at different temperatures. The potentials created based on the Embedded Atom Method (EAM), Modified EAM (MEAM) and ReaX force fields, adopted from available open databases. Independent elastic stiffness constants of cubic single crystals for different metals are obtained. The results are compared with the experimental ones available in the literature and deviations for each force field are provided at each temperature. Using current work, users of these force fields can easily judge on the one they are going to designate for their problem.

Resource Quantity and Quality Determine the Inter-Specific Associations between Ecosystem Engineers and Resource Users in a Cavity-Nest Web

PubMed Central

Robles, Hugo; Martin, Kathy

2013-01-01

While ecosystem engineering is a widespread structural force of ecological communities, the mechanisms underlying the inter-specific associations between ecosystem engineers and resource users are poorly understood. A proper knowledge of these mechanisms is, however, essential to understand how communities are structured. Previous studies suggest that increasing the quantity of resources provided by ecosystem engineers enhances populations of resource users. In a long-term study (1995-2011), we show that the quality of the resources (i.e. tree cavities) provided by ecosystem engineers is also a key feature that explains the inter-specific associations in a tree cavity-nest web. Red-naped sapsuckers ( Sphyrapicus nuchalis ) provided the most abundant cavities (52% of cavities, 0.49 cavities/ha). These cavities were less likely to be used than other cavity types by mountain bluebirds ( Sialia currucoides ), but provided numerous nest-sites (41% of nesting cavities) to tree swallows ( Tachycineta bicolour ). Swallows experienced low reproductive outputs in northern flicker ( Colaptes auratus ) cavities compared to those in sapsucker cavities (1.1 vs. 2.1 fledglings/nest), but the highly abundant flickers (33% of cavities, 0.25 cavities/ha) provided numerous suitable nest-sites for bluebirds (58%). The relative shortage of cavities supplied by hairy woodpeckers ( Picoides villosus ) and fungal/insect decay (<10% of cavities each, <0.09 cavities/ha) provided fewer breeding opportunities (<15% of nests), but represented high quality nest-sites for both bluebirds and swallows. Because both the quantity and quality of resources supplied by different ecosystem engineers may explain the amount of resources used by each resource user, conservation strategies may require different management actions to be implemented for the key ecosystem engineer of each resource user. We, therefore, urge the incorporation of both resource quantity and quality into models that assess community dynamics to improve conservation actions and our understanding of ecological communities based on ecosystem engineering. PMID:24040324

Resource quantity and quality determine the inter-specific associations between ecosystem engineers and resource users in a cavity-nest web.

PubMed

Robles, Hugo; Martin, Kathy

2013-01-01

While ecosystem engineering is a widespread structural force of ecological communities, the mechanisms underlying the inter-specific associations between ecosystem engineers and resource users are poorly understood. A proper knowledge of these mechanisms is, however, essential to understand how communities are structured. Previous studies suggest that increasing the quantity of resources provided by ecosystem engineers enhances populations of resource users. In a long-term study (1995-2011), we show that the quality of the resources (i.e. tree cavities) provided by ecosystem engineers is also a key feature that explains the inter-specific associations in a tree cavity-nest web. Red-naped sapsuckers (Sphyrapicusnuchalis) provided the most abundant cavities (52% of cavities, 0.49 cavities/ha). These cavities were less likely to be used than other cavity types by mountain bluebirds (Sialiacurrucoides), but provided numerous nest-sites (41% of nesting cavities) to tree swallows (Tachycinetabicolour). Swallows experienced low reproductive outputs in northern flicker (Colaptesauratus) cavities compared to those in sapsucker cavities (1.1 vs. 2.1 fledglings/nest), but the highly abundant flickers (33% of cavities, 0.25 cavities/ha) provided numerous suitable nest-sites for bluebirds (58%). The relative shortage of cavities supplied by hairy woodpeckers (Picoidesvillosus) and fungal/insect decay (<10% of cavities each, <0.09 cavities/ha) provided fewer breeding opportunities (<15% of nests), but represented high quality nest-sites for both bluebirds and swallows. Because both the quantity and quality of resources supplied by different ecosystem engineers may explain the amount of resources used by each resource user, conservation strategies may require different management actions to be implemented for the key ecosystem engineer of each resource user. We, therefore, urge the incorporation of both resource quantity and quality into models that assess community dynamics to improve conservation actions and our understanding of ecological communities based on ecosystem engineering.

Dynamic PROOF clusters with PoD: architecture and user experience

NASA Astrophysics Data System (ADS)

Manafov, Anar

2011-12-01

PROOF on Demand (PoD) is a tool-set, which sets up a PROOF cluster on any resource management system. PoD is a user oriented product with an easy to use GUI and a command-line interface. It is fully automated. No administrative privileges or special knowledge is required to use it. PoD utilizes a plug-in system, to use different job submission front-ends. The current PoD distribution is shipped with LSF, Torque (PBS), Grid Engine, Condor, gLite, and SSH plug-ins. The product is to be extended. We therefore plan to implement a plug-in for AliEn Grid as well. Recently developed algorithms made it possible to efficiently maintain two types of connections: packet-forwarding and native PROOF connections. This helps to properly handle most kinds of workers, with and without firewalls. PoD maintains the PROOF environment automatically and, for example, prevents resource misusage in case when workers idle for too long. As PoD matures as a product and provides more plug-ins, it's used as a standard for setting up dynamic PROOF clusters in many different institutions. The GSI Analysis Facility (GSIAF) is in production since 2007. The static PROOF cluster has been phased out end of 2009. GSIAF is now completely based on PoD. Users create private dynamic PROOF clusters on the general purpose batch farm. This provides an easier resource sharing between interactive local batch and Grid usage. The main user communities are FAIR and ALICE.

Collective Intelligence Generation from User Contributed Content

NASA Astrophysics Data System (ADS)

Solachidis, Vassilios; Mylonas, Phivos; Geyer-Schulz, Andreas; Hoser, Bettina; Chapman, Sam; Ciravegna, Fabio; Lanfranchi, Vita; Scherp, Ansgar; Staab, Steffen; Contopoulos, Costis; Gkika, Ioanna; Bakaimis, Byron; Smrz, Pavel; Kompatsiaris, Yiannis; Avrithis, Yannis

In this paper we provide a foundation for a new generation of services and tools. We define new ways of capturing, sharing and reusing information and intelligence provided by single users and communities, as well as organizations by enabling the extraction, generation, interpretation and management of Collective Intelligence from user generated digital multimedia content. Different layers of intelligence are generated, which together constitute the notion of Collective Intelligence. The automatic generation of Collective Intelligence constitutes a departure from traditional methods for information sharing, since information from both the multimedia content and social aspects will be merged, while at the same time the social dynamics will be taken into account. In the context of this work, we present two case studies: an Emergency Response and a Consumers Social Group case study.

Discriminating bot accounts based solely on temporal features of microblog behavior

NASA Astrophysics Data System (ADS)

Pan, Junshan; Liu, Ying; Liu, Xiang; Hu, Hanping

2016-05-01

As the largest microblog service in China, Sina Weibo has attracted numerous automated applications (known as bots) due to its popularity and open architecture. We classify the active users from Sina Weibo into human, bot-based and hybrid groups based solely on the study of temporal features of their posting behavior. The anomalous burstiness parameter and time-interval entropy value are exploited to characterize automation. We also reveal different behavior patterns among the three types of users regarding their reposting ratio, daily rhythm and active days. Our findings may help Sina Weibo manage a better community and should be considered for dynamic models of microblog behaviors.

Redesigning NASA Earthdata to Become Powered by EOSDIS Components

NASA Astrophysics Data System (ADS)

Bagwell, R.; Siarto, J.; Wong, M. M.; Murphy, K. J.; McLaughlin, B. D.

2014-12-01

Two years ago, NASA's Earth Science Data and Information Systems (ESDIS) Project launched the Earthdata website (https://earthdata.nasa.gov) in order to make Earth Observing System Data and Information System (EOSDIS) data, data products, data tools, and services available to a broad range of user communities across Earth science disciplines to foster collaboration and learning amongst the communities. Earthdata is being redesigned to be the one-stop shop in providing Earth science data, services, and information to the Earth science community. The goal is to move from the current static, manually-intensive content format to a dynamic, data-driven website in order to provide a more flexible and usable design website infrastructure that leverages EOSDIS components such as the User Registration System (URS), the Common Metadata Repository (CMR) and the Global Imagery Browse Services (GIBS). This will reorganize information content to make the website easier to use and to make easily accessible the high-value Earth science content throughout the site. The website will also easily accept and incorporate upcoming new projects such as the Earthdata Search Client and the Sea Level Change Portal.

Modeling Guru: Knowledge Base for NASA Modelers

NASA Astrophysics Data System (ADS)

Seablom, M. S.; Wojcik, G. S.; van Aartsen, B. H.

2009-05-01

Modeling Guru is an on-line knowledge-sharing resource for anyone involved with or interested in NASA's scientific models or High End Computing (HEC) systems. Developed and maintained by the NASA's Software Integration and Visualization Office (SIVO) and the NASA Center for Computational Sciences (NCCS), Modeling Guru's combined forums and knowledge base for research and collaboration is becoming a repository for the accumulated expertise of NASA's scientific modeling and HEC communities. All NASA modelers and associates are encouraged to participate and provide knowledge about the models and systems so that other users may benefit from their experience. Modeling Guru is divided into a hierarchy of communities, each with its own set forums and knowledge base documents. Current modeling communities include those for space science, land and atmospheric dynamics, atmospheric chemistry, and oceanography. In addition, there are communities focused on NCCS systems, HEC tools and libraries, and programming and scripting languages. Anyone may view most of the content on Modeling Guru (available at http://modelingguru.nasa.gov/), but you must log in to post messages and subscribe to community postings. The site offers a full range of "Web 2.0" features, including discussion forums, "wiki" document generation, document uploading, RSS feeds, search tools, blogs, email notification, and "breadcrumb" links. A discussion (a.k.a. forum "thread") is used to post comments, solicit feedback, or ask questions. If marked as a question, SIVO will monitor the thread, and normally respond within a day. Discussions can include embedded images, tables, and formatting through the use of the Rich Text Editor. Also, the user can add "Tags" to their thread to facilitate later searches. The "knowledge base" is comprised of documents that are used to capture and share expertise with others. The default "wiki" document lets users edit within the browser so others can easily collaborate on the same document, even allowing the author to select those who may edit and approve the document. To maintain knowledge integrity, all documents are moderated before they are visible to the public. Modeling Guru, running on Clearspace by Jive Software, has been an active resource to the NASA modeling and HEC communities for more than a year and currently has more than 100 active users. SIVO will soon install live instant messaging support, as well as a user-customizable homepage with social-networking features. In addition, SIVO plans to implement a large dataset/file storage capability so that users can quickly and easily exchange datasets and files with one another. Continued active community participation combined with periodic software updates and improved features will ensure that Modeling Guru remains a vibrant, effective, easy-to-use tool for the NASA scientific community.

A community engaged curriculum for public service psychiatry fellowship training.

PubMed

Sowers, Wesley; Marin, Robert

2014-01-01

Transforming the mental health system into a recovery oriented, integrated system of care requires a psychiatric work force that understands the relationship between recovery processes and community living. Fellowship programs in public and community psychiatry contribute to this transformation by educating psychiatrists about recovery, system dynamics, leadership, effective administration and community involvement. This paper describes a novel approach to fellowship programming that accomplishes these aims through an organizational strategy that emphasizes community engagement. After describing the administrative background for the program, we describe how the content curriculum and teaching process focus on the engagement of community members-both service users and service providers-as participating faculty. The faculty includes over 100 consumers, family members, advocacy group representatives, clinicians, and administrators. We present evaluation data obtained from 45 of the 100 community and university faculty who participated in the first 2 years' of the fellowship and conclude with a critique and recommendations for further progress in community engaged fellowship training.

Leisure activities among older Germans - a qualitative study.

PubMed

Boggatz, Thomas

2013-05-01

Leisure activities contribute to well-being and health in old age. Community nurses should consequently promote such activities among older persons. To do so they need an understanding of older persons' interest in leisure activities. Social contacts, volunteering and pursuit of hobbies and interests constitute the main aspects of leisure. This study aimed to determine the attitudes of older Germans to these aspects to identify user types of leisure time facilities. A qualitative study was conducted within a community-based project in an industrial town in West Germany. Data were collected with semi-structured guideline interviews and evaluated with qualitative content analysis according to Mayring. With regard to social contacts attitudes ranged from limited need for contacts to being a reliable member in an older persons' club. Social engagement is only found among the latter. Pursuit of hobbies and interest ranged from being a minimal user of leisure time facilities to refined expectations. Inflexible group structures may prevent potential users from participation despite having a programme in accordance with target group needs. Attitudes to leisure activities can be described as a combination of two dimensions: the degree of social involvement and the desired refinement of hobbies and interest. Community nurses who organise social afternoons need to assess these attitudes and should steer social dynamics of in a way that facilitates access for newcomers. © 2012 Blackwell Publishing Ltd.

Dynamic Extension of a Virtualized Cluster by using Cloud Resources

NASA Astrophysics Data System (ADS)

Oberst, Oliver; Hauth, Thomas; Kernert, David; Riedel, Stephan; Quast, Günter

2012-12-01

The specific requirements concerning the software environment within the HEP community constrain the choice of resource providers for the outsourcing of computing infrastructure. The use of virtualization in HPC clusters and in the context of cloud resources is therefore a subject of recent developments in scientific computing. The dynamic virtualization of worker nodes in common batch systems provided by ViBatch serves each user with a dynamically virtualized subset of worker nodes on a local cluster. Now it can be transparently extended by the use of common open source cloud interfaces like OpenNebula or Eucalyptus, launching a subset of the virtual worker nodes within the cloud. This paper demonstrates how a dynamically virtualized computing cluster is combined with cloud resources by attaching remotely started virtual worker nodes to the local batch system.

Tinamit: Making coupled system dynamics models accessible to stakeholders

NASA Astrophysics Data System (ADS)

Malard, Julien; Inam Baig, Azhar; Rojas Díaz, Marcela; Hassanzadeh, Elmira; Adamowski, Jan; Tuy, Héctor; Melgar-Quiñonez, Hugo

2017-04-01

Model coupling is increasingly used as a method of combining the best of two models when representing socio-environmental systems, though barriers to successful model adoption by stakeholders are particularly present with the use of coupled models, due to their high complexity and typically low implementation flexibility. Coupled system dynamics - physically-based modelling is a promising method to improve stakeholder participation in environmental modelling while retaining a high level of complexity for physical process representation, as the system dynamics components are readily understandable and can be built by stakeholders themselves. However, this method is not without limitations in practice, including 1) inflexible and complicated coupling methods, 2) difficult model maintenance after the end of the project, and 3) a wide variety of end-user cultures and languages. We have developed the open-source Python-language software tool Tinamit to overcome some of these limitations to the adoption of stakeholder-based coupled system dynamics - physically-based modelling. The software is unique in 1) its inclusion of both a graphical user interface (GUI) and a library of available commands (API) that allow users with little or no coding abilities to rapidly, effectively, and flexibly couple models, 2) its multilingual support for the GUI, allowing users to couple models in their preferred language (and to add new languages as necessary for their community work), and 3) its modular structure allowing for very easy model coupling and modification without the direct use of code, and to which programming-savvy users can easily add support for new types of physically-based models. We discuss how the use of Tinamit for model coupling can greatly increase the accessibility of coupled models to stakeholders, using an example of a stakeholder-built system dynamics model of soil salinity issues in Pakistan coupled with the physically-based soil salinity and water flow model SAHYSMOD. Different socioeconomic and environmental policies for soil salinity remediation are tested within the coupled model, allowing for the identification of the most efficient actions from an environmental and a farmer economy standpoint while taking into account the complex feedbacks between socioeconomics and the physical environment.

Pro-Anorexia and Anti-Pro-Anorexia Videos on YouTube: Sentiment Analysis of User Responses.

PubMed

Oksanen, Atte; Garcia, David; Sirola, Anu; Näsi, Matti; Kaakinen, Markus; Keipi, Teo; Räsänen, Pekka

2015-11-12

Pro-anorexia communities exist online and encourage harmful weight loss and weight control practices, often through emotional content that enforces social ties within these communities. User-generated responses to videos that directly oppose pro-anorexia communities have not yet been researched in depth. The aim was to study emotional reactions to pro-anorexia and anti-pro-anorexia online content on YouTube using sentiment analysis. Using the 50 most popular YouTube pro-anorexia and anti-pro-anorexia user channels as a starting point, we gathered data on users, their videos, and their commentators. A total of 395 anorexia videos and 12,161 comments were analyzed using positive and negative sentiments and ratings submitted by the viewers of the videos. The emotional information was automatically extracted with an automatic sentiment detection tool whose reliability was tested with human coders. Ordinary least squares regression models were used to estimate the strength of sentiments. The models controlled for the number of video views and comments, number of months the video had been on YouTube, duration of the video, uploader's activity as a video commentator, and uploader's physical location by country. The 395 videos had more than 6 million views and comments by almost 8000 users. Anti-pro-anorexia video comments expressed more positive sentiments on a scale of 1 to 5 (adjusted prediction [AP] 2.15, 95% CI 2.11-2.19) than did those of pro-anorexia videos (AP 2.02, 95% CI 1.98-2.06). Anti-pro-anorexia videos also received more likes (AP 181.02, 95% CI 155.19-206.85) than pro-anorexia videos (AP 31.22, 95% CI 31.22-37.81). Negative sentiments and video dislikes were equally distributed in responses to both pro-anorexia and anti-pro-anorexia videos. Despite pro-anorexia content being widespread on YouTube, videos promoting help for anorexia and opposing the pro-anorexia community were more popular, gaining more positive feedback and comments than pro-anorexia videos. Thus, the anti-pro-anorexia content provided a user-generated counterforce against pro-anorexia content on YouTube. Professionals working with young people should be aware of the social media dynamics and versatility of user-generated eating disorder content online.

Pro-Anorexia and Anti-Pro-Anorexia Videos on YouTube: Sentiment Analysis of User Responses

PubMed Central

Garcia, David; Sirola, Anu; Näsi, Matti; Kaakinen, Markus; Keipi, Teo; Räsänen, Pekka

2015-01-01

Background Pro-anorexia communities exist online and encourage harmful weight loss and weight control practices, often through emotional content that enforces social ties within these communities. User-generated responses to videos that directly oppose pro-anorexia communities have not yet been researched in depth. Objective The aim was to study emotional reactions to pro-anorexia and anti-pro-anorexia online content on YouTube using sentiment analysis. Methods Using the 50 most popular YouTube pro-anorexia and anti-pro-anorexia user channels as a starting point, we gathered data on users, their videos, and their commentators. A total of 395 anorexia videos and 12,161 comments were analyzed using positive and negative sentiments and ratings submitted by the viewers of the videos. The emotional information was automatically extracted with an automatic sentiment detection tool whose reliability was tested with human coders. Ordinary least squares regression models were used to estimate the strength of sentiments. The models controlled for the number of video views and comments, number of months the video had been on YouTube, duration of the video, uploader’s activity as a video commentator, and uploader’s physical location by country. Results The 395 videos had more than 6 million views and comments by almost 8000 users. Anti-pro-anorexia video comments expressed more positive sentiments on a scale of 1 to 5 (adjusted prediction [AP] 2.15, 95% CI 2.11-2.19) than did those of pro-anorexia videos (AP 2.02, 95% CI 1.98-2.06). Anti-pro-anorexia videos also received more likes (AP 181.02, 95% CI 155.19-206.85) than pro-anorexia videos (AP 31.22, 95% CI 31.22-37.81). Negative sentiments and video dislikes were equally distributed in responses to both pro-anorexia and anti-pro-anorexia videos. Conclusions Despite pro-anorexia content being widespread on YouTube, videos promoting help for anorexia and opposing the pro-anorexia community were more popular, gaining more positive feedback and comments than pro-anorexia videos. Thus, the anti-pro-anorexia content provided a user-generated counterforce against pro-anorexia content on YouTube. Professionals working with young people should be aware of the social media dynamics and versatility of user-generated eating disorder content online. PMID:26563678

Research on gender differences in online health communities.

PubMed

Liu, Xuan; Sun, Min; Li, Jia

2018-03-01

With the growing concern about health issues and the emergence of online communities based on user-generated content (UGC), more and more people are participating in online health communities (OHCs) to exchange opinions and health information. This paper aims to examine whether and how male and female users behave differently in OHCs. Using data from a leading diabetes community in China (Tianmijiayuan), we incorporate three different techniques: topic modeling analysis, sentiment analysis and friendship network analysis to investigate gender differences in chronic online health communities. The results indicated that (1) Male users' posting content was usually more professional and included more medical terms. Comparatively speaking, female users were more inclined to seek emotional support in the health communities. (2) Female users expressed more negative emotions than male users did, especially anxiety and sadness. (3) In addition, male users were more centered and influential in the friendship network than were women. Through these analyses, our research revealed the behavioral characteristics and needs for different gender users in online health communities. Gaining a deeper understanding of gender differences in OHCs can serve as guidance to better meet the information needs, emotional needs and relationship needs of male and female patients. Copyright © 2018 Elsevier B.V. All rights reserved.

The Crustal Dynamics Data Information System: A Resource to Support Scientific Analysis Using Space Geodesy

NASA Technical Reports Server (NTRS)

Noll. Carey E.

2010-01-01

Since 1982. the Crustal Dynamics Data Information System (CDDIS) has supported the archive and distribution of geodetic data products acquired by the National Aeronautics and Space Administration (NASA) as well as national and international programs. The CDDIS provides easy, timely, and reliable access to a variety of data sets, products, and information about these data. These measurements. obtained from a global network of nearly 650 instruments at more than 400 distinct sites, include DORIS (Doppler Orbitography and Radiopositioning Integrated by Satellite), GNSS (Global Navigation Satellite System), SLR and LLR (Satellite and Lunar Laser Ranging), and VLBI (Very Long Baseline Interferometry). The CDDIS data system and its archive have become increasingly important to many national and international science communities, particularly several of the operational services within the International Association of Geodesy (IAG) and its observing system the Global Geodetic Observing System (GGOS), including the International DORIS Service (IDS), the International GNSS Service (IGS). the International Laser Ranging Service (ILRS), the International VLBI Service for Geodesy and Astrometry (IVS). and the International Earth rotation and Reference frame Service (IERS), Investigations resulting from the data and products available through the CDDIS support research in many aspects of Earth system science and global change. Each month, the CDDIS archives more than one million data and derived product files totaling over 90 Gbytes in volume. In turn. the global user community downloads nearly 1.2 TBytes (over 10.5 million files) of data and products from the CDDIS each month. The requirements of analysts have evolved since the start of the CDDIS; the specialized nature of the system accommodates the enhancements required to support diverse data sets and user needs. This paper discusses the CDDIS. including background information about the system and its. user communities. archive contents. available metadata, and future plans.

Habitat-Mediated Variation in the Importance of Ecosystem Engineers for Secondary Cavity Nesters in a Nest Web

PubMed Central

Robles, Hugo; Martin, Kathy

2014-01-01

Through physical state changes in biotic or abiotic materials, ecosystem engineers modulate resource availability to other organisms and are major drivers of evolutionary and ecological dynamics. Understanding whether and how ecosystem engineers are interchangeable for resource users in different habitats is a largely neglected topic in ecosystem engineering research that can improve our understanding of the structure of communities. We addressed this issue in a cavity-nest web (1999–2011). In aspen groves, the presence of mountain bluebird (Sialia currucoides) and tree swallow (Tachycineta bicolour) nests was positively related to the density of cavities supplied by northern flickers (Colaptes auratus), which provided the most abundant cavities (1.61 cavities/ha). Flickers in aspen groves provided numerous nesting cavities to bluebirds (66%) and swallows (46%), despite previous research showing that flicker cavities are avoided by swallows. In continuous mixed forests, however, the presence of nesting swallows was mainly related to cavity density of red-naped sapsuckers (Sphyrapicus nuchalis), which provided the most abundant cavities (0.52 cavities/ha), and to cavity density of hairy woodpeckers (Picoides villosus), which provided few (0.14 cavities/ha) but high-quality cavities. Overall, sapsuckers and hairy woodpeckers provided 86% of nesting cavities to swallows in continuous forests. In contrast, the presence of nesting bluebirds in continuous forests was associated with the density of cavities supplied by all the ecosystem engineers. These results suggest that (i) habitat type may mediate the associations between ecosystem engineers and resource users, and (ii) different ecosystem engineers may be interchangeable for resource users depending on the quantity and quality of resources that each engineer supplies in each habitat type. We, therefore, urge the incorporation of the variation in the quantity and quality of resources provided by ecosystem engineers across habitats into models that assess community dynamics to improve our understanding of the importance of ecosystem engineers in shaping ecological communities. PMID:24587211

Habitat-mediated variation in the importance of ecosystem engineers for secondary cavity nesters in a nest web.

PubMed

Robles, Hugo; Martin, Kathy

2014-01-01

Through physical state changes in biotic or abiotic materials, ecosystem engineers modulate resource availability to other organisms and are major drivers of evolutionary and ecological dynamics. Understanding whether and how ecosystem engineers are interchangeable for resource users in different habitats is a largely neglected topic in ecosystem engineering research that can improve our understanding of the structure of communities. We addressed this issue in a cavity-nest web (1999-2011). In aspen groves, the presence of mountain bluebird (Sialia currucoides) and tree swallow (Tachycineta bicolour) nests was positively related to the density of cavities supplied by northern flickers (Colaptes auratus), which provided the most abundant cavities (1.61 cavities/ha). Flickers in aspen groves provided numerous nesting cavities to bluebirds (66%) and swallows (46%), despite previous research showing that flicker cavities are avoided by swallows. In continuous mixed forests, however, the presence of nesting swallows was mainly related to cavity density of red-naped sapsuckers (Sphyrapicus nuchalis), which provided the most abundant cavities (0.52 cavities/ha), and to cavity density of hairy woodpeckers (Picoides villosus), which provided few (0.14 cavities/ha) but high-quality cavities. Overall, sapsuckers and hairy woodpeckers provided 86% of nesting cavities to swallows in continuous forests. In contrast, the presence of nesting bluebirds in continuous forests was associated with the density of cavities supplied by all the ecosystem engineers. These results suggest that (i) habitat type may mediate the associations between ecosystem engineers and resource users, and (ii) different ecosystem engineers may be interchangeable for resource users depending on the quantity and quality of resources that each engineer supplies in each habitat type. We, therefore, urge the incorporation of the variation in the quantity and quality of resources provided by ecosystem engineers across habitats into models that assess community dynamics to improve our understanding of the importance of ecosystem engineers in shaping ecological communities.

Land Cover Change Community-based Processing and Analysis System (LC-ComPS): Lessons Learned from Technology Infusion

NASA Astrophysics Data System (ADS)

Masek, J.; Rao, A.; Gao, F.; Davis, P.; Jackson, G.; Huang, C.; Weinstein, B.

2008-12-01

The Land Cover Change Community-based Processing and Analysis System (LC-ComPS) combines grid technology, existing science modules, and dynamic workflows to enable users to complete advanced land data processing on data available from local and distributed archives. Changes in land cover represent a direct link between human activities and the global environment, and in turn affect Earth's climate. Thus characterizing land cover change has become a major goal for Earth observation science. Many science algorithms exist to generate new products (e.g., surface reflectance, change detection) used to study land cover change. The overall objective of the LC-ComPS is to release a set of tools and services to the land science community that can be implemented as a flexible LC-ComPS to produce surface reflectance and land-cover change information with ground resolution on the order of Landsat-class instruments. This package includes software modules for pre-processing Landsat-type satellite imagery (calibration, atmospheric correction, orthorectification, precision registration, BRDF correction) for performing land-cover change analysis and includes pre-built workflow chains to automatically generate surface reflectance and land-cover change products based on user input. In order to meet the project objectives, the team created the infrastructure (i.e., client-server system with graphical and machine interfaces) to expand the use of these existing science algorithm capabilities in a community with distributed, large data archives and processing centers. Because of the distributed nature of the user community, grid technology was chosen to unite the dispersed community resources. At that time, grid computing was not used consistently and operationally within the Earth science research community. Therefore, there was a learning curve to configure and implement the underlying public key infrastructure (PKI) interfaces, required for the user authentication, secure file transfer and remote job execution on the grid network of machines. In addition, science support was needed to vet that the grid technology did not have any adverse affects of the science module outputs. Other open source, unproven technologies, such as a workflow package to manage jobs submitted by the user, were infused into the overall system with successful results. This presentation will discuss the basic capabilities of LC-ComPS, explain how the technology was infused, and provide lessons learned for using and integrating the various technologies while developing and operating the system, and finally outline plans moving forward (maintenance and operations decisions) based on the experience to date.

Linking multiple biodiversity informatics platforms with Darwin Core Archives

PubMed Central

2014-01-01

Abstract We describe an implementation of the Darwin Core Archive (DwC-A) standard that allows for the exchange of biodiversity information contained within the Scratchpads virtual research environment with external collaborators. Using this single archive file Scratchpad users can expose taxonomies, specimen records, species descriptions and a range of other data to a variety of third-party aggregators and tools (currently Encyclopedia of Life, eMonocot Portal, CartoDB, and the Common Data Model) for secondary use. This paper describes our technical approach to dynamically building and validating Darwin Core Archives for the 600+ Scratchpad user communities, which can be used to serve the diverse data needs of all of our content partners. PMID:24723785

DOE Office of Scientific and Technical Information (OSTI.GOV)

Christon, Mark A.; Bakosi, Jozsef; Lowrie, Robert B.

Hydra-TH is a hybrid finite-element/finite-volume code built using the Hydra toolkit specifically to attack a broad class of incompressible, viscous fluid dynamics problems prevalent in the thermalhydraulics community. The purpose for this manual is provide sufficient information for an experience analyst to use Hydra-TH in an effective way. The Hydra-TH User's Manual present a brief overview of capabilities and visualization interfaces. The execution and restart models are described before turning to the detailed description of keyword input. Finally, a series of example problems are presented with sufficient data to permit the user to verify the local installation of Hydra-TH, andmore » to permit a convenient starting point for more detailed and complex analyses.« less

A web portal for hydrodynamical, cosmological simulations

NASA Astrophysics Data System (ADS)

Ragagnin, A.; Dolag, K.; Biffi, V.; Cadolle Bel, M.; Hammer, N. J.; Krukau, A.; Petkova, M.; Steinborn, D.

2017-07-01

This article describes a data centre hosting a web portal for accessing and sharing the output of large, cosmological, hydro-dynamical simulations with a broad scientific community. It also allows users to receive related scientific data products by directly processing the raw simulation data on a remote computing cluster. The data centre has a multi-layer structure: a web portal, a job control layer, a computing cluster and a HPC storage system. The outer layer enables users to choose an object from the simulations. Objects can be selected by visually inspecting 2D maps of the simulation data, by performing highly compounded and elaborated queries or graphically by plotting arbitrary combinations of properties. The user can run analysis tools on a chosen object. These services allow users to run analysis tools on the raw simulation data. The job control layer is responsible for handling and performing the analysis jobs, which are executed on a computing cluster. The innermost layer is formed by a HPC storage system which hosts the large, raw simulation data. The following services are available for the users: (I) CLUSTERINSPECT visualizes properties of member galaxies of a selected galaxy cluster; (II) SIMCUT returns the raw data of a sub-volume around a selected object from a simulation, containing all the original, hydro-dynamical quantities; (III) SMAC creates idealized 2D maps of various, physical quantities and observables of a selected object; (IV) PHOX generates virtual X-ray observations with specifications of various current and upcoming instruments.

Exploratory community sensing in social networks

NASA Astrophysics Data System (ADS)

Khrabrov, Alexy; Stocco, Gabriel; Cybenko, George

2010-04-01

Social networks generally provide an implementation of some kind of groups or communities which users can voluntarily join. Twitter does not have this functionality, and there is no notion of a formal group or community. We propose a method for identification of communities and assignment of semantic meaning to the discussion topics of the resulting communities. Using this analysis method and a sample of roughly a month's worth of Tweets from Twitter's "gardenhose" feed, we demonstrate the discovery of meaningful user communities on Twitter. We examine Twitter data streaming in real time and treat it as a sensor. Twitter is a social network which pioneered microblogging with the messages fitting an SMS, and a variety of clients, browsers, smart phones and PDAs are used for status updates by individuals, businesses, media outlets and even devices all over the world. Often an aggregate trend of such statuses may represent an important development in the world, which has been demonstrated with the Iran and Moldova elections and the anniversary of the Tiananmen in China. We propose using Twitter as a sensor, tracking individuals and communities of interest, and characterizing individual roles and dynamics of their communications. We developed a novel algorithm of community identification in social networks based on direct communication, as opposed to linking. We show ways to find communities of interest and then browse their neighborhoods by either similarity or diversity of individuals and groups adjacent to the one of interest. We use frequent collocations and statistically improbable phrases to summarize the focus of the community, giving a quick overview of its main topics. Our methods provide insight into the largest social sensor network in the world and constitute a platform for social sensing.

How Social Communications Influence Advertising Perception and Response in Online Communities?

PubMed

Zeng, Fue; Tao, Ran; Yang, Yanwu; Xie, Tingting

2017-01-01

This research aims to explore how social communications of online communities affect users' perception and responses toward social media advertising. We developed a conceptual model based on the SBT, encapsulating 9 constructs and 10 hypothesis extracted from the extant social media advertising literature. Our research outcome proves that social communications can effectively boost users' behaviors to be in accordance with an online social community, thus facilitate their acceptance and responses toward social media advertising, with users' group intention as an intervening factor. From an operational standpoint, it's an effective way to build and maintain social bonds between users and the community by boosting social communications, supporting fluent interpersonal communications. In addition, managers of an online community should elaborate on users' group intentions to increase users' advertising acceptance and response.

Unlocking data: federated identity with LSDMA and dCache

NASA Astrophysics Data System (ADS)

Millar, AP; Behrmann, G.; Bernardt, C.; Fuhrmann, P.; Hardt, M.; Hayrapetyan, A.; Litvintsev, D.; Mkrtchyan, T.; Rossi, A.; Schwank, K.

2015-12-01

X.509, the dominant identity system from grid computing, has proved unpopular for many user communities. More popular alternatives generally assume the user is interacting via their web-browser. Such alternatives allow a user to authenticate with many services with the same credentials (user-name and password). They also allow users from different organisations form collaborations quickly and simply. Scientists generally require that their custom analysis software has direct access to the data. Such direct access is not currently supported by alternatives to X.509, as they require the use of a web-browser. Various approaches to solve this issue are being investigated as part of the Large Scale Data Management and Analysis (LSDMA) project, a German funded national R&D project. These involve dynamic credential translation (creating an X.509 credential) to allow backwards compatibility in addition to direct SAML- and OpenID Connect-based authentication. We present a summary of the current state of art and the current status of the federated identity work funded by the LSDMA project along with the future road map.

ESIP's Earth Science Knowledge Graph (ESKG) Testbed Project: An Automatic Approach to Building Interdisciplinary Earth Science Knowledge Graphs to Improve Data Discovery

NASA Astrophysics Data System (ADS)

McGibbney, L. J.; Jiang, Y.; Burgess, A. B.

2017-12-01

Big Earth observation data have been produced, archived and made available online, but discovering the right data in a manner that precisely and efficiently satisfies user needs presents a significant challenge to the Earth Science (ES) community. An emerging trend in information retrieval community is to utilize knowledge graphs to assist users in quickly finding desired information from across knowledge sources. This is particularly prevalent within the fields of social media and complex multimodal information processing to name but a few, however building a domain-specific knowledge graph is labour-intensive and hard to keep up-to-date. In this work, we update our progress on the Earth Science Knowledge Graph (ESKG) project; an ESIP-funded testbed project which provides an automatic approach to building a dynamic knowledge graph for ES to improve interdisciplinary data discovery by leveraging implicit, latent existing knowledge present within across several U.S Federal Agencies e.g. NASA, NOAA and USGS. ESKG strengthens ties between observations and user communities by: 1) developing a knowledge graph derived from various sources e.g. Web pages, Web Services, etc. via natural language processing and knowledge extraction techniques; 2) allowing users to traverse, explore, query, reason and navigate ES data via knowledge graph interaction. ESKG has the potential to revolutionize the way in which ES communities interact with ES data in the open world through the entity, spatial and temporal linkages and characteristics that make it up. This project enables the advancement of ESIP collaboration areas including both Discovery and Semantic Technologies by putting graph information right at our fingertips in an interactive, modern manner and reducing the efforts to constructing ontology. To demonstrate the ESKG concept, we will demonstrate use of our framework across NASA JPL's PO.DAAC, NOAA's Earth Observation Requirements Evaluation System (EORES) and various USGS systems.

Tellurium notebooks-An environment for reproducible dynamical modeling in systems biology.

PubMed

Medley, J Kyle; Choi, Kiri; König, Matthias; Smith, Lucian; Gu, Stanley; Hellerstein, Joseph; Sealfon, Stuart C; Sauro, Herbert M

2018-06-01

The considerable difficulty encountered in reproducing the results of published dynamical models limits validation, exploration and reuse of this increasingly large biomedical research resource. To address this problem, we have developed Tellurium Notebook, a software system for model authoring, simulation, and teaching that facilitates building reproducible dynamical models and reusing models by 1) providing a notebook environment which allows models, Python code, and narrative to be intermixed, 2) supporting the COMBINE archive format during model development for capturing model information in an exchangeable format and 3) enabling users to easily simulate and edit public COMBINE-compliant models from public repositories to facilitate studying model dynamics, variants and test cases. Tellurium Notebook, a Python-based Jupyter-like environment, is designed to seamlessly inter-operate with these community standards by automating conversion between COMBINE standards formulations and corresponding in-line, human-readable representations. Thus, Tellurium brings to systems biology the strategy used by other literate notebook systems such as Mathematica. These capabilities allow users to edit every aspect of the standards-compliant models and simulations, run the simulations in-line, and re-export to standard formats. We provide several use cases illustrating the advantages of our approach and how it allows development and reuse of models without requiring technical knowledge of standards. Adoption of Tellurium should accelerate model development, reproducibility and reuse.

WMT: The CSDMS Web Modeling Tool

NASA Astrophysics Data System (ADS)

Piper, M.; Hutton, E. W. H.; Overeem, I.; Syvitski, J. P.

2015-12-01

The Community Surface Dynamics Modeling System (CSDMS) has a mission to enable model use and development for research in earth surface processes. CSDMS strives to expand the use of quantitative modeling techniques, promotes best practices in coding, and advocates for the use of open-source software. To streamline and standardize access to models, CSDMS has developed the Web Modeling Tool (WMT), a RESTful web application with a client-side graphical interface and a server-side database and API that allows users to build coupled surface dynamics models in a web browser on a personal computer or a mobile device, and run them in a high-performance computing (HPC) environment. With WMT, users can: Design a model from a set of components Edit component parameters Save models to a web-accessible server Share saved models with the community Submit runs to an HPC system Download simulation results The WMT client is an Ajax application written in Java with GWT, which allows developers to employ object-oriented design principles and development tools such as Ant, Eclipse and JUnit. For deployment on the web, the GWT compiler translates Java code to optimized and obfuscated JavaScript. The WMT client is supported on Firefox, Chrome, Safari, and Internet Explorer. The WMT server, written in Python and SQLite, is a layered system, with each layer exposing a web service API: wmt-db: database of component, model, and simulation metadata and output wmt-api: configure and connect components wmt-exe: launch simulations on remote execution servers The database server provides, as JSON-encoded messages, the metadata for users to couple model components, including descriptions of component exchange items, uses and provides ports, and input parameters. Execution servers are network-accessible computational resources, ranging from HPC systems to desktop computers, containing the CSDMS software stack for running a simulation. Once a simulation completes, its output, in NetCDF, is packaged and uploaded to a data server where it is stored and from which a user can download it as a single compressed archive file.

A predictive model to allocate frequent service users of community-based mental health services to different packages of care.

PubMed

Grigoletti, Laura; Amaddeo, Francesco; Grassi, Aldrigo; Boldrini, Massimo; Chiappelli, Marco; Percudani, Mauro; Catapano, Francesco; Fiorillo, Andrea; Perris, Francesco; Bacigalupi, Maurizio; Albanese, Paolo; Simonetti, Simona; De Agostini, Paola; Tansella, Michele

2010-01-01

To develop predictive models to allocate patients into frequent and low service users groups within the Italian Community-based Mental Health Services (CMHSs). To allocate frequent users to different packages of care, identifying the costs of these packages. Socio-demographic and clinical data and GAF scores at baseline were collected for 1250 users attending five CMHSs. All psychiatric contacts made by these patients during six months were recorded. A logistic regression identified frequent service users predictive variables. Multinomial logistic regression identified variables able to predict the most appropriate package of care. A cost function was utilised to estimate costs. Frequent service users were 49%, using nearly 90% of all contacts. The model classified correctly 80% of users in the frequent and low users groups. Three packages of care were identified: Basic Community Treatment (4,133 Euro per six months); Intensive Community Treatment (6,180 Euro) and Rehabilitative Community Treatment (11,984 Euro) for 83%, 6% and 11% of frequent service users respectively. The model was found to be accurate for 85% of users. It is possible to develop predictive models to identify frequent service users and to assign them to pre-defined packages of care, and to use these models to inform the funding of psychiatric care.

Animal transportation networks

PubMed Central

Perna, Andrea; Latty, Tanya

2014-01-01

Many group-living animals construct transportation networks of trails, galleries and burrows by modifying the environment to facilitate faster, safer or more efficient movement. Animal transportation networks can have direct influences on the fitness of individuals, whereas the shape and structure of transportation networks can influence community dynamics by facilitating contacts between different individuals and species. In this review, we discuss three key areas in the study of animal transportation networks: the topological properties of networks, network morphogenesis and growth, and the behaviour of network users. We present a brief primer on elements of network theory, and then discuss the different ways in which animal groups deal with the fundamental trade-off between the competing network properties of travel efficiency, robustness and infrastructure cost. We consider how the behaviour of network users can impact network efficiency, and call for studies that integrate both network topology and user behaviour. We finish with a prospectus for future research. PMID:25165598

Pricing the Services in Dynamic Environment: Agent Pricing Model

NASA Astrophysics Data System (ADS)

Žagar, Drago; Rupčić, Slavko; Rimac-Drlje, Snježana

New Internet applications and services as well as new user demands open many new issues concerning dynamic management of quality of service and price for received service, respectively. The main goals of Internet service providers are to maximize profit and maintain a negotiated quality of service. From the users' perspective the main goal is to maximize ratio of received QoS and costs of service. However, achieving these objectives could become very complex if we know that Internet service users might during the session become highly dynamic and proactive. This connotes changes in user profile or network provider/s profile caused by high level of user mobility or variable level of user demands. This paper proposes a new agent based pricing architecture for serving the highly dynamic customers in context of dynamic user/network environment. The proposed architecture comprises main aspects and basic parameters that will enable objective and transparent assessment of the costs for the service those Internet users receive while dynamically change QoS demands and cost profile.

Identifying influential user communities on the social network

NASA Astrophysics Data System (ADS)

Hu, Weishu; Gong, Zhiguo; Hou U, Leong; Guo, Jingzhi

2015-10-01

Nowadays social network services have been popularly used in electronic commerce systems. Users on the social network can develop different relationships based on their common interests and activities. In order to promote the business, it is interesting to explore hidden relationships among users developed on the social network. Such knowledge can be used to locate target users for different advertisements and to provide effective product recommendations. In this paper, we define and study a novel community detection problem that is to discover the hidden community structure in large social networks based on their common interests. We observe that the users typically pay more attention to those users who share similar interests, which enable a way to partition the users into different communities according to their common interests. We propose two algorithms to detect influential communities using common interests in large social networks efficiently and effectively. We conduct our experimental evaluation using a data set from Epinions, which demonstrates that our method achieves 4-11.8% accuracy improvement over the state-of-the-art method.

Evidence of complex contagion of information in social media: An experiment using Twitter bots.

PubMed

Mønsted, Bjarke; Sapieżyński, Piotr; Ferrara, Emilio; Lehmann, Sune

2017-01-01

It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is whether information spreads according to simple or complex dynamics: does each exposure to a piece of information have an independent probability of a user adopting it (simple contagion), or does this probability depend instead on the number of sources of exposure, increasing above some threshold (complex contagion)? Most studies to date are observational and, therefore, unable to disentangle the effects of confounding factors such as social reinforcement, homophily, limited attention, or network community structure. Here we describe a novel controlled experiment that we performed on Twitter using 'social bots' deployed to carry out coordinated attempts at spreading information. We propose two Bayesian statistical models describing simple and complex contagion dynamics, and test the competing hypotheses. We provide experimental evidence that the complex contagion model describes the observed information diffusion behavior more accurately than simple contagion. Future applications of our results include more effective defenses against malicious propaganda campaigns on social media, improved marketing and advertisement strategies, and design of effective network intervention techniques.

Community-Supported Data Repositories in Paleobiology: A 'Middle Tail' Between the Geoscientific and Informatics Communities

NASA Astrophysics Data System (ADS)

Williams, J. W.; Ashworth, A. C.; Betancourt, J. L.; Bills, B.; Blois, J.; Booth, R.; Buckland, P.; Charles, D.; Curry, B. B.; Goring, S. J.; Davis, E.; Grimm, E. C.; Graham, R. W.; Smith, A. J.

2015-12-01

Community-supported data repositories (CSDRs) in paleoecology and paleoclimatology have a decades-long tradition and serve multiple critical scientific needs. CSDRs facilitate synthetic large-scale scientific research by providing open-access and curated data that employ community-supported metadata and data standards. CSDRs serve as a 'middle tail' or boundary organization between information scientists and the long-tail community of individual geoscientists collecting and analyzing paleoecological data. Over the past decades, a distributed network of CSDRs has emerged, each serving a particular suite of data and research communities, e.g. Neotoma Paleoecology Database, Paleobiology Database, International Tree Ring Database, NOAA NCEI for Paleoclimatology, Morphobank, iDigPaleo, and Integrated Earth Data Alliance. Recently, these groups have organized into a common Paleobiology Data Consortium dedicated to improving interoperability and sharing best practices and protocols. The Neotoma Paleoecology Database offers one example of an active and growing CSDR, designed to facilitate research into ecological and evolutionary dynamics during recent past global change. Neotoma combines a centralized database structure with distributed scientific governance via multiple virtual constituent data working groups. The Neotoma data model is flexible and can accommodate a variety of paleoecological proxies from many depositional contests. Data input into Neotoma is done by trained Data Stewards, drawn from their communities. Neotoma data can be searched, viewed, and returned to users through multiple interfaces, including the interactive Neotoma Explorer map interface, REST-ful Application Programming Interfaces (APIs), the neotoma R package, and the Tilia stratigraphic software. Neotoma is governed by geoscientists and provides community engagement through training workshops for data contributors, stewards, and users. Neotoma is engaged in the Paleobiological Data Consortium and other efforts to improve interoperability among cyberinfrastructure in the paleogeosciences.

Part 3 Specialized aspects of GIS and spatial analysis . Garage band science and dynamic spatial models

NASA Astrophysics Data System (ADS)

Box, Paul W.

GIS and spatial analysis is suited mainly for static pictures of the landscape, but many of the processes that need exploring are dynamic in nature. Dynamic processes can be complex when put in a spatial context; our ability to study such processes will probably come with advances in understanding complex systems in general. Cellular automata and agent-based models are two prime candidates for exploring complex spatial systems, but are difficult to implement. Innovative tools that help build complex simulations will create larger user communities, who will probably find novel solutions for understanding complexity. A significant source for such innovations is likely to be from the collective efforts of hobbyists and part-time programmers, who have been dubbed ``garage-band scientists'' in the popular press.

A repository based on a dynamically extensible data model supporting multidisciplinary research in neuroscience.

PubMed

Corradi, Luca; Porro, Ivan; Schenone, Andrea; Momeni, Parastoo; Ferrari, Raffaele; Nobili, Flavio; Ferrara, Michela; Arnulfo, Gabriele; Fato, Marco M

2012-10-08

Robust, extensible and distributed databases integrating clinical, imaging and molecular data represent a substantial challenge for modern neuroscience. It is even more difficult to provide extensible software environments able to effectively target the rapidly changing data requirements and structures of research experiments. There is an increasing request from the neuroscience community for software tools addressing technical challenges about: (i) supporting researchers in the medical field to carry out data analysis using integrated bioinformatics services and tools; (ii) handling multimodal/multiscale data and metadata, enabling the injection of several different data types according to structured schemas; (iii) providing high extensibility, in order to address different requirements deriving from a large variety of applications simply through a user runtime configuration. A dynamically extensible data structure supporting collaborative multidisciplinary research projects in neuroscience has been defined and implemented. We have considered extensibility issues from two different points of view. First, the improvement of data flexibility has been taken into account. This has been done through the development of a methodology for the dynamic creation and use of data types and related metadata, based on the definition of "meta" data model. This way, users are not constrainted to a set of predefined data and the model can be easily extensible and applicable to different contexts. Second, users have been enabled to easily customize and extend the experimental procedures in order to track each step of acquisition or analysis. This has been achieved through a process-event data structure, a multipurpose taxonomic schema composed by two generic main objects: events and processes. Then, a repository has been built based on such data model and structure, and deployed on distributed resources thanks to a Grid-based approach. Finally, data integration aspects have been addressed by providing the repository application with an efficient dynamic interface designed to enable the user to both easily query the data depending on defined datatypes and view all the data of every patient in an integrated and simple way. The results of our work have been twofold. First, a dynamically extensible data model has been implemented and tested based on a "meta" data-model enabling users to define their own data types independently from the application context. This data model has allowed users to dynamically include additional data types without the need of rebuilding the underlying database. Then a complex process-event data structure has been built, based on this data model, describing patient-centered diagnostic processes and merging information from data and metadata. Second, a repository implementing such a data structure has been deployed on a distributed Data Grid in order to provide scalability both in terms of data input and data storage and to exploit distributed data and computational approaches in order to share resources more efficiently. Moreover, data managing has been made possible through a friendly web interface. The driving principle of not being forced to preconfigured data types has been satisfied. It is up to users to dynamically configure the data model for the given experiment or data acquisition program, thus making it potentially suitable for customized applications. Based on such repository, data managing has been made possible through a friendly web interface. The driving principle of not being forced to preconfigured data types has been satisfied. It is up to users to dynamically configure the data model for the given experiment or data acquisition program, thus making it potentially suitable for customized applications.

A repository based on a dynamically extensible data model supporting multidisciplinary research in neuroscience

PubMed Central

2012-01-01

Background Robust, extensible and distributed databases integrating clinical, imaging and molecular data represent a substantial challenge for modern neuroscience. It is even more difficult to provide extensible software environments able to effectively target the rapidly changing data requirements and structures of research experiments. There is an increasing request from the neuroscience community for software tools addressing technical challenges about: (i) supporting researchers in the medical field to carry out data analysis using integrated bioinformatics services and tools; (ii) handling multimodal/multiscale data and metadata, enabling the injection of several different data types according to structured schemas; (iii) providing high extensibility, in order to address different requirements deriving from a large variety of applications simply through a user runtime configuration. Methods A dynamically extensible data structure supporting collaborative multidisciplinary research projects in neuroscience has been defined and implemented. We have considered extensibility issues from two different points of view. First, the improvement of data flexibility has been taken into account. This has been done through the development of a methodology for the dynamic creation and use of data types and related metadata, based on the definition of “meta” data model. This way, users are not constrainted to a set of predefined data and the model can be easily extensible and applicable to different contexts. Second, users have been enabled to easily customize and extend the experimental procedures in order to track each step of acquisition or analysis. This has been achieved through a process-event data structure, a multipurpose taxonomic schema composed by two generic main objects: events and processes. Then, a repository has been built based on such data model and structure, and deployed on distributed resources thanks to a Grid-based approach. Finally, data integration aspects have been addressed by providing the repository application with an efficient dynamic interface designed to enable the user to both easily query the data depending on defined datatypes and view all the data of every patient in an integrated and simple way. Results The results of our work have been twofold. First, a dynamically extensible data model has been implemented and tested based on a “meta” data-model enabling users to define their own data types independently from the application context. This data model has allowed users to dynamically include additional data types without the need of rebuilding the underlying database. Then a complex process-event data structure has been built, based on this data model, describing patient-centered diagnostic processes and merging information from data and metadata. Second, a repository implementing such a data structure has been deployed on a distributed Data Grid in order to provide scalability both in terms of data input and data storage and to exploit distributed data and computational approaches in order to share resources more efficiently. Moreover, data managing has been made possible through a friendly web interface. The driving principle of not being forced to preconfigured data types has been satisfied. It is up to users to dynamically configure the data model for the given experiment or data acquisition program, thus making it potentially suitable for customized applications. Conclusions Based on such repository, data managing has been made possible through a friendly web interface. The driving principle of not being forced to preconfigured data types has been satisfied. It is up to users to dynamically configure the data model for the given experiment or data acquisition program, thus making it potentially suitable for customized applications. PMID:23043673

The Use of Facebook in National Election Campaigns: Politics as Usual?

NASA Astrophysics Data System (ADS)

Andersen, Kim Normann; Medaglia, Rony

The uptake of online media in election campaigning is leading to speculations about the transformation of politics and cyber-democracy. Politicians running for seats in Parliament are increasingly using online media to disseminate information to potential voters and building dynamic, online communities. Drawing on an online survey of the Facebook networks of the two top candidates running for seats in the 2007 Danish Parliament election, this study suggests that the online sphere is primarily populated by users who already know the candidates through the traditional channels of party organizations, and that they do not expect to influence the policy of their candidates. Instead, users view Facebook mainly as an information channel and as a means to gain social prestige.

Effective user management with high strength crypto -key in dynamic group environment in cloud

NASA Astrophysics Data System (ADS)

Kumar, P. J.; Suganya, P.; Karthik, G.

2017-11-01

Cloud Clusters consists of various collections of files which are being accessed by multiple users of Cloud. The users are managed as a group and the association of the user to a particular group is dynamic in nature. Every group has a manager who handles the membership of a user to a particular group by issuing keys for encryption and decryption. Due to the dynamic nature of a user he/she may leave the group very frequently. But an attempt can be made by the user who has recently left the group to access a file maintained by that group. Key distribution becomes a critical issue while the behavior of the user is dynamic. Existing techniques to manage the users of group in terms of security and key distribution has been investigated so that to arrive at an objective to identify the scopes to increase security and key management scheme in cloud. The usage of various key combinations to measure the strength of security and efficiency of user management in dynamic cloud environment has been investigated.

Tobacco users' perceptions of a brief tobacco cessation intervention in community pharmacies.

PubMed

Patwardhan, Pallavi D; Chewning, Betty A

2010-01-01

To explore factors affecting tobacco users' perceived appropriateness of a brief and proactive tobacco cessation counseling program, ask, advise, and refer (AAR), at community pharmacies. Inductive thematic analysis. Southern Wisconsin during fall 2008. 24 tobacco users who had recently received brief and proactive tobacco cessation counseling at a community pharmacy. Semistructured telephone interviews conducted by primary author. Perceptions of a brief and proactive tobacco cessation counseling program conducted at community pharmacies. In conducting the thematic analysis, eight distinct themes were identified. Display of information and resources at pharmacies for use by tobacco users as needed was identified as the most predominant theme and was found to be most helpful by many respondents. Other themes identified in decreasing order of prevalence were: tobacco users' perceptions of the role of pharmacists in health care, tobacco users' belief that smoking could interact with a current medication or health condition, tobacco users' sensitivity toward their tobacco use behavior or being told what to do, nonconfrontational and friendly approach of pharmacists, tobacco users' readiness to quit at the time of AAR counseling, tobacco user initiation of tobacco use discussion, and tobacco users' belief that tobacco use is bad. Overall, this qualitative investigation suggests that several factors might influence tobacco users' perceived appropriateness of AAR counseling at community pharmacies. AAR might be well received by tobacco users and pharmacy patrons as long as it is done in a professional and respectful manner.

On investigating social dynamics in tactical opportunistic mobile networks

NASA Astrophysics Data System (ADS)

Gao, Wei; Li, Yong

2014-06-01

The efficiency of military mobile network operations at the tactical edge is challenging due to the practical Disconnected, Intermittent, and Limited (DIL) environments at the tactical edge which make it hard to maintain persistent end-to-end wireless network connectivity. Opportunistic mobile networks are hence devised to depict such tactical networking scenarios. Social relations among warfighters in tactical opportunistic mobile networks are implicitly represented by their opportunistic contacts via short-range radios, but were inappropriately considered as stationary over time by the conventional wisdom. In this paper, we develop analytical models to probabilistically investigate the temporal dynamics of this social relationship, which is critical to efficient mobile communication in the battlespace. We propose to formulate such dynamics by developing various sociological metrics, including centrality and community, with respect to the opportunistic mobile network contexts. These metrics investigate social dynamics based on the experimentally validated skewness of users' transient contact distributions over time.

Improvements in Space Geodesy Data Discovery at the CDDIS

NASA Technical Reports Server (NTRS)

Noll, C.; Pollack, N.; Michael, P.

2011-01-01

The Crustal Dynamics Data Information System (CDDIS) supports data archiving and distribution activities for the space geodesy and geodynamics community. The main objectives of the system are to store space geodesy and geodynamics related data products in a central data bank. to maintain information about the archival of these data, and to disseminate these data and information in a timely manner to a global scientific research community. The archive consists of GNSS, laser ranging, VLBI, and DORIS data sets and products derived from these data. The CDDIS is one of NASA's Earth Observing System Data and Information System (EOSDIS) distributed data centers; EOSDIS data centers serve a diverse user community and arc tasked to provide facilities to search and access science data and products. Several activities are currently under development at the CDDIS to aid users in data discovery, both within the current community and beyond. The CDDIS is cooperating in the development of Geodetic Seamless Archive Centers (GSAC) with colleagues at UNAVCO and SIO. TIle activity will provide web services to facilitate data discovery within and across participating archives. In addition, the CDDIS is currently implementing modifications to the metadata extracted from incoming data and product files pushed to its archive. These enhancements will permit information about COOlS archive holdings to be made available through other data portals such as Earth Observing System (EOS) Clearinghouse (ECHO) and integration into the Global Geodetic Observing System (GGOS) portal.

User community development for the space transportation system/Skylab

NASA Technical Reports Server (NTRS)

Archer, J. L.; Beauchamp, N. A.

1974-01-01

The New User Function plan for identifying beneficial uses of space is described. Critical issues such as funding, manpower, and protection of user proprietary rights are discussed along with common barriers which impede the development of a user community. Studies for developing methodologies of identifying new users and uses of the space transportation system are included.

Novel Scientific Visualization Interfaces for Interactive Information Visualization and Sharing

NASA Astrophysics Data System (ADS)

Demir, I.; Krajewski, W. F.

2012-12-01

As geoscientists are confronted with increasingly massive datasets from environmental observations to simulations, one of the biggest challenges is having the right tools to gain scientific insight from the data and communicate the understanding to stakeholders. Recent developments in web technologies make it easy to manage, visualize and share large data sets with general public. Novel visualization techniques and dynamic user interfaces allow users to interact with data, and modify the parameters to create custom views of the data to gain insight from simulations and environmental observations. This requires developing new data models and intelligent knowledge discovery techniques to explore and extract information from complex computational simulations or large data repositories. Scientific visualization will be an increasingly important component to build comprehensive environmental information platforms. This presentation provides an overview of the trends and challenges in the field of scientific visualization, and demonstrates information visualization and communication tools in the Iowa Flood Information System (IFIS), developed within the light of these challenges. The IFIS is a web-based platform developed by the Iowa Flood Center (IFC) to provide access to and visualization of flood inundation maps, real-time flood conditions, flood forecasts both short-term and seasonal, and other flood-related data for communities in Iowa. The key element of the system's architecture is the notion of community. Locations of the communities, those near streams and rivers, define basin boundaries. The IFIS provides community-centric watershed and river characteristics, weather (rainfall) conditions, and streamflow data and visualization tools. Interactive interfaces allow access to inundation maps for different stage and return period values, and flooding scenarios with contributions from multiple rivers. Real-time and historical data of water levels, gauge heights, and rainfall conditions are available in the IFIS. 2D and 3D interactive visualizations in the IFIS make the data more understandable to general public. Users are able to filter data sources for their communities and selected rivers. The data and information on IFIS is also accessible through web services and mobile applications. The IFIS is optimized for various browsers and screen sizes to provide access through multiple platforms including tablets and mobile devices. Multiple view modes in the IFIS accommodate different user types from general public to researchers and decision makers by providing different level of tools and details. River view mode allows users to visualize data from multiple IFC bridge sensors and USGS stream gauges to follow flooding condition along a river. The IFIS will help communities make better-informed decisions on the occurrence of floods, and will alert communities in advance to help minimize damage of floods.

Sense of Community on Twitter and Instagram: Exploring the Roles of Motives and Parasocial Relationships.

PubMed

Blight, Michael G; Ruppel, Erin K; Schoenbauer, Kelsea V

2017-05-01

Although research has explored the ways in which people form virtual communities to converse about media figures, television shows, and similar topics, little research has examined the link between virtual communities and the parasocial relationships (PSRs) that are often the focus of these conversations and users' experiences in those virtual communities. We examined sense of community (SOC) on Twitter and Instagram as a function of users' motives for use and users' PSR on the sites. In addition to examining the relative importance of different motives for using Twitter and Instagram, we predicted that PSR would mediate the association between motives for use and SOC. Results of an online survey revealed that Instagram users (n = 276) reported stronger social interaction motives than did Twitter users (n = 223). Social interaction and expressive information sharing motives were directly positively associated with SOC for users of both sites. Instagram users also exhibited indirect effects of expressive information sharing and companionship motives on SOC, through PSR. These findings suggest potentially influential differences between Twitter and Instagram, particularly regarding the role of PSR in fostering a general SOC.

NASA's Earth Observing Data and Information System - Near-Term Challenges

NASA Technical Reports Server (NTRS)

Behnke, Jeanne; Mitchell, Andrew; Ramapriyan, Hampapuram

2018-01-01

NASA's Earth Observing System Data and Information System (EOSDIS) has been a central component of the NASA Earth observation program since the 1990's. EOSDIS manages data covering a wide range of Earth science disciplines including cryosphere, land cover change, polar processes, field campaigns, ocean surface, digital elevation, atmosphere dynamics and composition, and inter-disciplinary research, and many others. One of the key components of EOSDIS is a set of twelve discipline-based Distributed Active Archive Centers (DAACs) distributed across the United States. Managed by NASA's Earth Science Data and Information System (ESDIS) Project at Goddard Space Flight Center, these DAACs serve over 3 million users globally. The ESDIS Project provides the infrastructure support for EOSDIS, which includes other components such as the Science Investigator-led Processing systems (SIPS), common metadata and metrics management systems, specialized network systems, standards management, and centralized support for use of commercial cloud capabilities. Given the long-term requirements, and the rapid pace of information technology and changing expectations of the user community, EOSDIS has evolved continually over the past three decades. However, many challenges remain. Challenges addressed in this paper include: growing volume and variety, achieving consistency across a diverse set of data producers, managing information about a large number of datasets, migration to a cloud computing environment, optimizing data discovery and access, incorporating user feedback from a diverse community, keeping metadata updated as data collections grow and age, and ensuring that all the content needed for understanding datasets by future users is identified and preserved.

Exploring Entrainment Patterns of Human Emotion in Social Media

PubMed Central

Luo, Chuan; Zhang, Zhu

2016-01-01

Emotion entrainment, which is generally defined as the synchronous convergence of human emotions, performs many important social functions. However, what the specific mechanisms of emotion entrainment are beyond in-person interactions, and how human emotions evolve under different entrainment patterns in large-scale social communities, are still unknown. In this paper, we aim to examine the massive emotion entrainment patterns and understand the underlying mechanisms in the context of social media. As modeling emotion dynamics on a large scale is often challenging, we elaborate a pragmatic framework to characterize and quantify the entrainment phenomenon. By applying this framework on the datasets from two large-scale social media platforms, we find that the emotions of online users entrain through social networks. We further uncover that online users often form their relations via dual entrainment, while maintain it through single entrainment. Remarkably, the emotions of online users are more convergent in nonreciprocal entrainment. Building on these findings, we develop an entrainment augmented model for emotion prediction. Experimental results suggest that entrainment patterns inform emotion proximity in dyads, and encoding their associations promotes emotion prediction. This work can further help us to understand the underlying dynamic process of large-scale online interactions and make more reasonable decisions regarding emergency situations, epidemic diseases, and political campaigns in cyberspace. PMID:26953692

Exploring Entrainment Patterns of Human Emotion in Social Media.

PubMed

He, Saike; Zheng, Xiaolong; Zeng, Daniel; Luo, Chuan; Zhang, Zhu

2016-01-01

Emotion entrainment, which is generally defined as the synchronous convergence of human emotions, performs many important social functions. However, what the specific mechanisms of emotion entrainment are beyond in-person interactions, and how human emotions evolve under different entrainment patterns in large-scale social communities, are still unknown. In this paper, we aim to examine the massive emotion entrainment patterns and understand the underlying mechanisms in the context of social media. As modeling emotion dynamics on a large scale is often challenging, we elaborate a pragmatic framework to characterize and quantify the entrainment phenomenon. By applying this framework on the datasets from two large-scale social media platforms, we find that the emotions of online users entrain through social networks. We further uncover that online users often form their relations via dual entrainment, while maintain it through single entrainment. Remarkably, the emotions of online users are more convergent in nonreciprocal entrainment. Building on these findings, we develop an entrainment augmented model for emotion prediction. Experimental results suggest that entrainment patterns inform emotion proximity in dyads, and encoding their associations promotes emotion prediction. This work can further help us to understand the underlying dynamic process of large-scale online interactions and make more reasonable decisions regarding emergency situations, epidemic diseases, and political campaigns in cyberspace.

The “Translators”: Engaging Former Drug Users as Key Research Staff to Design and Implement a Risk Reduction Program for Rural Cocaine Users

PubMed Central

Stewart, Katharine E.; Wright, Patricia B.; Sims, Desi; Tyner, Kathy Russell; Montgomery, Brooke E. E.

2013-01-01

This manuscript describes lessons learned in the development and implementation of a clinical behavioral trial to reduce sexual risk among African-American cocaine users in rural Arkansas, from the perspectives of a multidisciplinary investigative team and community staff members with a history as local drug users who served as “translators.” Recommendations for investigators doing community-based research with active substance users are provided in the following domains: (a) engaging the community during formative research, (b) establishing bidirectional trust, (c) ensuring community voices are heard, and (d) managing conflict. The “translator’s” role is critical to the success of such projects. PMID:22428822

Pesticide Environmental Stewardship Program (PESP)

EPA Pesticide Factsheets

PESP is an EPA partnership program that works with the nation's pesticide-user community to promote IPM practices. Pesticide users can reduce the risks from pests and pesticides. Members include organizations and companies in the pesticide-user community.

The Growth of the User Community of the La Silla Paranal Observatory Science Archive

NASA Astrophysics Data System (ADS)

Romaniello, M.; Arnaboldi, M.; Da Rocha, C.; De Breuck, C.; Delmotte, N.; Dobrzycki, A.; Fourniol, N.; Freudling, W.; Mascetti, L.; Micol, A.; Retzlaff, J.; Sterzik, M.; Sequeiros, I. V.; De Breuck, M. V.

2016-03-01

The archive of the La Silla Paranal Observatory has grown steadily into a powerful science resource for the ESO astronomical community. Established in 1998, the Science Archive Facility (SAF) stores both the raw data generated by all ESO instruments and selected processed (science-ready) data. The growth of the SAF user community is analysed through access and publication statistics. Statistics are presented for archival users, who do not contribute to observing proposals, and contrasted with regular and archival users, who are successful in competing for observing time. Archival data from the SAF contribute to about one paper out of four that use data from ESO facilities. This study reveals that the blend of users constitutes a mixture of the traditional ESO community making novel use of the data and of a new community being built around the SAF.

The Role of A Facilitated Online Workspace Component of A Community of Practice: Knowledge Building and Value Creation for NASA

NASA Astrophysics Data System (ADS)

Davey, B.

2014-12-01

This study examined the role of an online workspace component of a community in the work of a community of practice. Much has been studied revealing the importance of communities of practice to organizations, project success, and knowledge management and some of these same successes hold true for virtual communities of practice. Study participants were 75 Education and Public Outreach community members of NASA's Science Mission Directorate Earth Forum. In this mixed methods study, online workspace metrics were used to track participation and a survey completed by 21 members was used to quantify participation. For a more detailed analysis, 15 community members (5 highly active users, 5 average users, and 5 infrequent users) selected based on survey responses, were interviewed. Finally, survey data was gathered from 7 online facilitators to understand their role in the community. Data collected from these 21 community members and 5 facilitating members suggest that highly active users (logging into the workspace daily), were more likely to have transformative experiences, co-create knowledge, feel ownership of community knowledge, have extended opportunities for community exchange, and find new forms of evaluation. Average users shared some similar characteristics with both the highly active members and infrequent users, representing a group in transition as they become more engaged and active in the online workspace. Inactive users viewed the workspace as having little value, being difficult to navigate, being mainly for gaining basic information about events and community news, and as another demand on their time. Results show the online workspace component of the Earth Science Education and Outreach Forum is playing an important and emerging role for this community by supporting knowledge building and knowledge sharing, and growing in value for those that utilizing it more frequently. The evidence suggests that with increased participation or "usage" comes increased value to the participant and the organization. This research illustrates the possible change in mindset held by participating community members when it comes to the nature of co-location. Additionally, it may be of particular importance in exploring changes in the community members' feelings of connection and belonging.

Multilabel user classification using the community structure of online networks.

PubMed

Rizos, Georgios; Papadopoulos, Symeon; Kompatsiaris, Yiannis

2017-01-01

We study the problem of semi-supervised, multi-label user classification of networked data in the online social platform setting. We propose a framework that combines unsupervised community extraction and supervised, community-based feature weighting before training a classifier. We introduce Approximate Regularized Commute-Time Embedding (ARCTE), an algorithm that projects the users of a social graph onto a latent space, but instead of packing the global structure into a matrix of predefined rank, as many spectral and neural representation learning methods do, it extracts local communities for all users in the graph in order to learn a sparse embedding. To this end, we employ an improvement of personalized PageRank algorithms for searching locally in each user's graph structure. Then, we perform supervised community feature weighting in order to boost the importance of highly predictive communities. We assess our method performance on the problem of user classification by performing an extensive comparative study among various recent methods based on graph embeddings. The comparison shows that ARCTE significantly outperforms the competition in almost all cases, achieving up to 35% relative improvement compared to the second best competing method in terms of F1-score.

ADAM: analysis of discrete models of biological systems using computer algebra.

PubMed

Hinkelmann, Franziska; Brandon, Madison; Guang, Bonny; McNeill, Rustin; Blekherman, Grigoriy; Veliz-Cuba, Alan; Laubenbacher, Reinhard

2011-07-20

Many biological systems are modeled qualitatively with discrete models, such as probabilistic Boolean networks, logical models, Petri nets, and agent-based models, to gain a better understanding of them. The computational complexity to analyze the complete dynamics of these models grows exponentially in the number of variables, which impedes working with complex models. There exist software tools to analyze discrete models, but they either lack the algorithmic functionality to analyze complex models deterministically or they are inaccessible to many users as they require understanding the underlying algorithm and implementation, do not have a graphical user interface, or are hard to install. Efficient analysis methods that are accessible to modelers and easy to use are needed. We propose a method for efficiently identifying attractors and introduce the web-based tool Analysis of Dynamic Algebraic Models (ADAM), which provides this and other analysis methods for discrete models. ADAM converts several discrete model types automatically into polynomial dynamical systems and analyzes their dynamics using tools from computer algebra. Specifically, we propose a method to identify attractors of a discrete model that is equivalent to solving a system of polynomial equations, a long-studied problem in computer algebra. Based on extensive experimentation with both discrete models arising in systems biology and randomly generated networks, we found that the algebraic algorithms presented in this manuscript are fast for systems with the structure maintained by most biological systems, namely sparseness and robustness. For a large set of published complex discrete models, ADAM identified the attractors in less than one second. Discrete modeling techniques are a useful tool for analyzing complex biological systems and there is a need in the biological community for accessible efficient analysis tools. ADAM provides analysis methods based on mathematical algorithms as a web-based tool for several different input formats, and it makes analysis of complex models accessible to a larger community, as it is platform independent as a web-service and does not require understanding of the underlying mathematics.

Composition and Dynamics of Bacterial Communities of a Drinking Water Supply System as Assessed by RNA- and DNA-Based 16S rRNA Gene Fingerprinting

PubMed Central

Eichler, Stefan; Christen, Richard; Höltje, Claudia; Westphal, Petra; Bötel, Julia; Brettar, Ingrid; Mehling, Arndt; Höfle, Manfred G.

2006-01-01

Bacterial community dynamics of a whole drinking water supply system (DWSS) were studied from source to tap. Raw water for this DWSS is provided by two reservoirs with different water characteristics in the Harz mountains of Northern Germany. Samples were taken after different steps of treatment of raw water (i.e., flocculation, sand filtration, and chlorination) and at different points along the supply system to the tap. RNA and DNA were extracted from the sampled water. The 16S rRNA or its genes were partially amplified by reverse transcription-PCR or PCR and analyzed by single-strand conformation polymorphism community fingerprints. The bacterial community structures of the raw water samples from the two reservoirs were very different, but no major changes of these structures occurred after flocculation and sand filtration. Chlorination of the processed raw water strongly affected bacterial community structure, as reflected by the RNA-based fingerprints. This effect was less pronounced for the DNA-based fingerprints. After chlorination, the bacterial community remained rather constant from the storage containers to the tap. Furthermore, the community structure of the tap water did not change substantially for several months. Community composition was assessed by sequencing of abundant bands and phylogenetic analysis of the sequences obtained. The taxonomic compositions of the bacterial communities from both reservoirs were very different at the species level due to their different limnologies. On the other hand, major taxonomic groups, well known to occur in freshwater, such as Alphaproteobacteria, Betaproteobacteria, and Bacteroidetes, were found in both reservoirs. Significant differences in the detection of the major groups were observed between DNA-based and RNA-based fingerprints irrespective of the reservoir. Chlorination of the drinking water seemed to promote growth of nitrifying bacteria. Detailed analysis of the community dynamics of the whole DWSS revealed a significant influence of both source waters on the overall composition of the drinking water microflora and demonstrated the relevance of the raw water microflora for the drinking water microflora provided to the end user. PMID:16517632

Integrating sentiment and social structure to determine preference alignments: the Irish Marriage Referendum

PubMed Central

O’Sullivan, David J. P.; Garduño-Hernández, Guillermo; Gleeson, James P.

2017-01-01

We examine the relationship between social structure and sentiment through the analysis of a large collection of tweets about the Irish Marriage Referendum of 2015. We obtain the sentiment of every tweet with the hashtags #marref and #marriageref that was posted in the days leading to the referendum, and construct networks to aggregate sentiment and use it to study the interactions among users. Our analysis shows that the sentiment of outgoing mention tweets is correlated with the sentiment of incoming mentions, and there are significantly more connections between users with similar sentiment scores than among users with opposite scores in the mention and follower networks. We combine the community structure of the follower and mention networks with the activity level of the users and sentiment scores to find groups that support voting ‘yes’ or ‘no’ in the referendum. There were numerous conversations between users on opposing sides of the debate in the absence of follower connections, which suggests that there were efforts by some users to establish dialogue and debate across ideological divisions. Our analysis shows that social structure can be integrated successfully with sentiment to analyse and understand the disposition of social media users around controversial or polarizing issues. These results have potential applications in the integration of data and metadata to study opinion dynamics, public opinion modelling and polling. PMID:28791141

CMAQ Community Survey Results

EPA Pesticide Factsheets

In 2016, CMAQ users worldwide participated in a survey circulated by the University of North Carolina's Community Modeling and Analysis System (CMAS) center. The aggregated results allow us to better understand the attributes of the CMAQ user community.

Applications of computational fluid dynamics (CFD) in the modelling and design of ventilation systems in the agricultural industry: a review.

PubMed

Norton, Tomás; Sun, Da-Wen; Grant, Jim; Fallon, Richard; Dodd, Vincent

2007-09-01

The application of computational fluid dynamics (CFD) in the agricultural industry is becoming ever more important. Over the years, the versatility, accuracy and user-friendliness offered by CFD has led to its increased take-up by the agricultural engineering community. Now CFD is regularly employed to solve environmental problems of greenhouses and animal production facilities. However, due to a combination of increased computer efficacy and advanced numerical techniques, the realism of these simulations has only been enhanced in recent years. This study provides a state-of-the-art review of CFD, its current applications in the design of ventilation systems for agricultural production systems, and the outstanding challenging issues that confront CFD modellers. The current status of greenhouse CFD modelling was found to be at a higher standard than that of animal housing, owing to the incorporation of user-defined routines that simulate crop biological responses as a function of local environmental conditions. Nevertheless, the most recent animal housing simulations have addressed this issue and in turn have become more physically realistic.

Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna

PubMed Central

Swanson, Alexandra; Kosmala, Margaret; Lintott, Chris; Simpson, Robert; Smith, Arfon; Packer, Craig

2015-01-01

Camera traps can be used to address large-scale questions in community ecology by providing systematic data on an array of wide-ranging species. We deployed 225 camera traps across 1,125 km2 in Serengeti National Park, Tanzania, to evaluate spatial and temporal inter-species dynamics. The cameras have operated continuously since 2010 and had accumulated 99,241 camera-trap days and produced 1.2 million sets of pictures by 2013. Members of the general public classified the images via the citizen-science website www.snapshotserengeti.org. Multiple users viewed each image and recorded the species, number of individuals, associated behaviours, and presence of young. Over 28,000 registered users contributed 10.8 million classifications. We applied a simple algorithm to aggregate these individual classifications into a final ‘consensus’ dataset, yielding a final classification for each image and a measure of agreement among individual answers. The consensus classifications and raw imagery provide an unparalleled opportunity to investigate multi-species dynamics in an intact ecosystem and a valuable resource for machine-learning and computer-vision research. PMID:26097743

Dynamic publication model for neurophysiology databases.

PubMed

Gardner, D; Abato, M; Knuth, K H; DeBellis, R; Erde, S M

2001-08-29

We have implemented a pair of database projects, one serving cortical electrophysiology and the other invertebrate neurones and recordings. The design for each combines aspects of two proven schemes for information interchange. The journal article metaphor determined the type, scope, organization and quantity of data to comprise each submission. Sequence databases encouraged intuitive tools for data viewing, capture, and direct submission by authors. Neurophysiology required transcending these models with new datatypes. Time-series, histogram and bivariate datatypes, including illustration-like wrappers, were selected by their utility to the community of investigators. As interpretation of neurophysiological recordings depends on context supplied by metadata attributes, searches are via visual interfaces to sets of controlled-vocabulary metadata trees. Neurones, for example, can be specified by metadata describing functional and anatomical characteristics. Permanence is advanced by data model and data formats largely independent of contemporary technology or implementation, including Java and the XML standard. All user tools, including dynamic data viewers that serve as a virtual oscilloscope, are Java-based, free, multiplatform, and distributed by our application servers to any contemporary networked computer. Copyright is retained by submitters; viewer displays are dynamic and do not violate copyright of related journal figures. Panels of neurophysiologists view and test schemas and tools, enhancing community support.

Community-Based Information Technology Services 1: What (Some) Users Want.

ERIC Educational Resources Information Center

Caldwell, Barrett S.; Robertson, Jenifer W.

1996-01-01

Addresses issues regarding the design of electronic community information services and user preferences for information services. Presents results of surveying 80 Wisconsin residents about their community information needs. The following community information needs were identified: library services, local government and banking, local calendars of…

A Vision and Roadmap for Increasing User Autonomy in Flight Operations in the National Airspace

NASA Technical Reports Server (NTRS)

Cotton, William B.; Hilb, Robert; Koczo, Stefan; Wing, David

2016-01-01

The purpose of Air Transportation is to move people and cargo safely, efficiently and swiftly to their destinations. The companies and individuals who use aircraft for this purpose, the airspace users, desire to operate their aircraft according to a dynamically optimized business trajectory for their specific mission and operational business model. In current operations, the dynamic optimization of business trajectories is limited by constraints built into operations in the National Airspace System (NAS) for reasons of safety and operational needs of the air navigation service providers. NASA has been developing and testing means to overcome many of these constraints and permit operations to be conducted closer to the airspace user's changing business trajectory as conditions unfold before and during the flight. A roadmap of logical steps progressing toward increased user autonomy is proposed, beginning with NASA's Traffic Aware Strategic Aircrew Requests (TASAR) concept that enables flight crews to make informed, deconflicted flight-optimization requests to air traffic control. These steps include the use of data communications for route change requests and approvals, integration with time-based arrival flow management processes under development by the Federal Aviation Administration (FAA), increased user authority for defining and modifying downstream, strategic portions of the trajectory, and ultimately application of self-separation. This progression takes advantage of existing FAA NextGen programs and RTCA standards development, and it is designed to minimize the number of hardware upgrades required of airspace users to take advantage of these advanced capabilities to achieve dynamically optimized business trajectories in NAS operations. The roadmap is designed to provide operational benefits to first adopters so that investment decisions do not depend upon a large segment of the user community becoming equipped before benefits can be realized. The issues of equipment certification and operational approval of new procedures are addressed in a way that minimizes their impact on the transition by deferring a change in the assignment of separation responsibility until a large body of operational data is available to support the safety case for this change in the last roadmap step.This paper will relate the roadmap steps to ongoing activities to clarify the economics-based transition to these technologies for operational use.

The System Dynamics Model User Sustainability Explorer (SD-MUSE) user interface: a user-friendly tool for interpreting system dynamic models

EPA Science Inventory

Sustainability-based decision making is a challenging process that requires balancing trade-offs among social, economic, and environmental components. System Dynamic (SD) models can be useful tools to inform sustainability-based decision making because they provide a holistic co...

An Update on the CDDIS

NASA Technical Reports Server (NTRS)

Noll, Carey; Michael, Patrick; Dube, Maurice P.; Pollack, N.

2012-01-01

The Crustal Dynamics Data Inforn1ation System (CoorS) supports data archiving and distribution activities for the space geodesy and geodynamics community. The main objectives of the system are to store space geodesy and geodynamics related data products in a central data bank, to maintain infom1ation about the archival of these data, and to disseminate these data and information in a timely mam1er to a global scientific research community. The archive consists of GNSS, laser ranging, VLBI, and OORIS data sets and products derived from these data. The coors is one of NASA's Earth Observing System Oata and Infom1ation System (EOSorS) distributed data centers; EOSOIS data centers serve a diverse user community and are tasked to provide facilities to search and access science data and products. The coors data system and its archive have become increasingly important to many national and international science communities, in pal1icular several of the operational services within the International Association of Geodesy (lAG) and its project the Global Geodetic Observing System (GGOS), including the International OORIS Service (IDS), the International GNSS Service (IGS), the International Laser Ranging Service (ILRS), the International VLBI Service for Geodesy and Astrometry (IVS), and the International Earth Rotation Service (IERS). The coors has recently expanded its archive to supp011 the IGS Multi-GNSS Experiment (MGEX). The archive now contains daily and hourly 3D-second and subhourly I-second data from an additional 35+ stations in RINEX V3 fOm1at. The coors will soon install an Ntrip broadcast relay to support the activities of the IGS Real-Time Pilot Project (RTPP) and the future Real-Time IGS Service. The coors has also developed a new web-based application to aid users in data discovery, both within the current community and beyond. To enable this data discovery application, the CDDIS is currently implementing modifications to the metadata extracted from incoming data and product files pushed to its archive. This poster will include background information about the system and its user communities, archive contents and updates, enhancements for data discovery, new system architecture, and future plans.

Online personal ads: community and sex, virtually.

PubMed

Gudelunas, David

2005-01-01

This study samples 200 personal advertisements from the online gay and lesbian global Web portal PlanetOut. This data, along with survey responses completed by advertisers included in the sample, are used to frame a discussion on the use of online gay and lesbian spaces and communities. Despite interacting in a global space, data showed that advertisers remained aware of their local identities. Differences between advertisers were most notable between gender and whether they logged on in a small or large town. Advertisers were interested in interacting locally, eager to move from online to offline communication, often-times not overly concerned with maintaining anonymity, and not interested in toying with multiple identities. Users of PlanetOut personals largely did not consider themselves part of a virtual gay and lesbian community even when they recognized the existence of a local geographically-based gay and lesbian community. However, the dynamic nature of online personal advertisements did allow for a new type of interactive advertisement that does differ from previous print forums.

OpenMM 7: Rapid development of high performance algorithms for molecular dynamics

PubMed Central

Swails, Jason; Zhao, Yutong; Beauchamp, Kyle A.; Wang, Lee-Ping; Stern, Chaya D.; Brooks, Bernard R.; Pande, Vijay S.

2017-01-01

OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows users to easily add new features, including forces with novel functional forms, new integration algorithms, and new simulation protocols. Those features automatically work on all supported hardware types (including both CPUs and GPUs) and perform well on all of them. In many cases they require minimal coding, just a mathematical description of the desired function. They also require no modification to OpenMM itself and can be distributed independently of OpenMM. This makes it an ideal tool for researchers developing new simulation methods, and also allows those new methods to be immediately available to the larger community. PMID:28746339

Design of an online health-promoting community: negotiating user community needs with public health goals and service capabilities.

PubMed

Ekberg, Joakim; Timpka, Toomas; Angbratt, Marianne; Frank, Linda; Norén, Anna-Maria; Hedin, Lena; Andersen, Emelie; Gursky, Elin A; Gäre, Boel Andersson

2013-07-04

An online health-promoting community (OHPC) has the potential to promote health and advance new means of dialogue between public health representatives and the general public. The aim of this study was to examine what aspects of an OHPC that are critical for satisfying the needs of the user community and public health goals and service capabilities. Community-based participatory research methods were used for data collection and analysis, and participatory design principles to develop a case study OHPC for adolescents. Qualitative data from adolescents on health appraisals and perspectives on health information were collected in a Swedish health service region and classified into categories of user health information exchange needs. A composite design rationale for the OHPC was completed by linking the identified user needs, user-derived requirements, and technical and organizational systems solutions. Conflicts between end-user requirements and organizational goals and resources were identified. The most prominent health information needs were associated to food, exercise, and well-being. The assessment of the design rationale document and prototype in light of the regional public health goals and service capabilities showed that compromises were needed to resolve conflicts involving the management of organizational resources and responsibilities. The users wanted to discuss health issues with health experts having little time to set aside to the OHPC and it was unclear who should set the norms for the online discussions. OHPCs can be designed to satisfy both the needs of user communities and public health goals and service capabilities. Compromises are needed to resolve conflicts between users' needs to discuss health issues with domain experts and the management of resources and responsibilities in public health organizations.

Communities of Practice Transition Online - Lessons learned from NASA's EPO Online Workspace

NASA Astrophysics Data System (ADS)

Davey, B.

2012-12-01

The Earth Forum Education and Public Outreach (EP/O) community has long interacted to better their practice as a community as well as individually. Working together to share knowledge and grow, they function as a community of practice. In 2009, NASA designed and implemented an online workspace in hopes of promoting the communities continued interactions. This study examines the role of an online workspace component of a community in the work of a community of practice. Much has been studied revealing the importance of communities of practice to organizations, project success, and knowledge management and some of these same successes hold true for virtual communities of practice. Study participants were 75 Education and Public Outreach community members of NASA's Science Mission Directorate Earth Forum. In this mixed methods study, online workspace metrics were used to track participation and a survey completed by 21 members was used to quantify participation. For a more detailed analysis, 15 community members (five highly active users, five average users, and five infrequent users) selected based on survey responses, were interviewed. Finally, survey data was gathered from seven online facilitators to understand their role in the community. Data collected from these 21 community members and five facilitating members suggest that highly active users (logging into the workspace daily), were more likely to have transformative experiences, co-create knowledge, feel ownership of community knowledge, have extended opportunities for community exchange, and find new forms of evaluation. Average users shared some similar characteristics with both the highly active members and infrequent users, representing a group in transition as they become more engaged and active in the online workspace. Inactive users viewed the workspace as having little value, being difficult to navigate, being mainly for gaining basic information about events and community news, and as another demand on their time. Results show the online workspace component of the Earth Science Education and Outreach Forum is playing an important and emerging role for this community by supporting knowledge building and knowledge sharing, and growing in value for those that utilizing it more frequently. The evidence suggests that with increased participation or "usage" comes increased value to the participant and the organization. This research illustrates the possible change in mindset held by participating community members when it comes to the nature of co-location. Additionally, it may be of particular importance in exploring changes in the community members' feelings of connection and belonging.

The EVER-EST portal as support for the Sea Monitoring Virtual Research Community, through the sharing of resources, enabling dynamic collaboration and promoting community engagement

NASA Astrophysics Data System (ADS)

Foglini, Federica; Grande, Valentina; De Leo, Francesco; Mantovani, Simone; Ferraresi, Sergio

2017-04-01

EVER-EST offers a framework based on advanced services delivered both at the e-infrastructure and domain-specific level, with the objective of supporting each phase of the Earth Science Research and Information Lifecycle. It provides innovative e-research services to Earth Science user communities for communication, cross-validation and the sharing of knowledge and science outputs. The project follows a user-centric approach: real use cases taken from pre-selected Virtual Research Communities (VRC) covering different Earth Science research scenarios drive the implementation of the Virtual Research Environment (VRE) services and capabilities. The Sea Monitoring community is involved in the evaluation of the EVER-EST infrastructure. The community of potential users is wide and heterogeneous including both multi-disciplinary scientists and national/international agencies and authorities (e.g. MPAs directors, technicians from regional agencies like ARPA in Italy, the technicians working for the Ministry of the Environment) dealing with the adoption of a better way of measuring the quality of the environment. The scientific community has the main role of assessing the best criteria and indicators for defining the Good Environmental Status (GES) in their own sub regions, and implementing methods, protocols and tools for monitoring the GES descriptors. According to the Marine Strategy Framework Directive (MSFD), the environmental status of marine waters is defined by 11 descriptors, and forms a proposed set of 29 associated criteria and 56 different indicators. The objective of the Sea Monitoring VRC is to provide useful and applicable contributions to the evaluation of the descriptors: D1.Biodiversity, D2.Non-indigenous species and D6.Seafloor Integrity (http://ec.europa.eu/environment/marine/good-environmental-status/index_en.htm). The main challenges for the community members are: 1. discovery of existing data and products distributed among different infrastructures; 2. sharing methodologies about the GES evaluation and monitoring; 3. working on the same workflows and data; 4. adopting shared powerful tools for data processing (e.g. software and servers). The Sea Monitoring portal provides the VRC users with tools and services aimed at enhancing their ability to interoperate and share knowledge, experience and methods for GES assessment and monitoring, such as: •digital information services for data management, exploitation and preservation (accessibility of heterogeneous data sources including associated documentation); •e-collaboration services to communicate and share knowledge, ideas, protocols and workflows; •e-learning services to facilitate the use of common workflows for assessing GES indicators; •e-research services for workflow management, validation and verification, as well as visualization and interactive services. The current study is co-financed by the European Union's Horizon 2020 research and innovation programme under the EVER-EST project (Grant Agreement No. 674907).

Glycemic Allostasis during Mental Activities on Fasting in Non-alcohol Users and Alcohol Users with Different Durations of Abstinence.

PubMed

Welcome, Mo; Pereverzev, Va

2014-09-01

Glycemic allostasis is the process by which blood glucose stabilization is achieved through the balancing of glucose consumption rate and release into the blood stream under a variety of stressors. This paper reviews findings on the dynamics of glycemic levels during mental activities on fasting in non-alcohol users and alcohol users with different periods of abstinence. Referred articles for this review were searched in the databases of PubMed, Scopus, DOAJ and AJOL. The search was conducted in 2013 between January 20 and July 31. The following keywords were used in the search: alcohol action on glycemia OR brain glucose OR cognitive functions; dynamics of glycemia, dynamics of glycemia during mental activities; dynamics of glycemia on fasting; dynamics of glycemia in non-alcohol users OR alcohol users; glycemic regulation during sobriety. Analysis of the selected articles showed that glycemic allostasis during mental activities on fasting is poorly regulated in alcohol users even after a long duration of sobriety (1-4 weeks after alcohol consumption), compared to non-alcohol users. The major contributor to the maintenance of euglycemia during mental activities after the night's rest (during continuing fast) is gluconeogenesis.

Glycemic Allostasis during Mental Activities on Fasting in Non-alcohol Users and Alcohol Users with Different Durations of Abstinence

PubMed Central

Welcome, MO; Pereverzev, VA

2014-01-01

Glycemic allostasis is the process by which blood glucose stabilization is achieved through the balancing of glucose consumption rate and release into the blood stream under a variety of stressors. This paper reviews findings on the dynamics of glycemic levels during mental activities on fasting in non-alcohol users and alcohol users with different periods of abstinence. Referred articles for this review were searched in the databases of PubMed, Scopus, DOAJ and AJOL. The search was conducted in 2013 between January 20 and July 31. The following keywords were used in the search: alcohol action on glycemia OR brain glucose OR cognitive functions; dynamics of glycemia, dynamics of glycemia during mental activities; dynamics of glycemia on fasting; dynamics of glycemia in non-alcohol users OR alcohol users; glycemic regulation during sobriety. Analysis of the selected articles showed that glycemic allostasis during mental activities on fasting is poorly regulated in alcohol users even after a long duration of sobriety (1-4 weeks after alcohol consumption), compared to non-alcohol users. The major contributor to the maintenance of euglycemia during mental activities after the night's rest (during continuing fast) is gluconeogenesis. PMID:25364589

BAID: The Barrow Area Information Database - an interactive web mapping portal and cyberinfrastructure for science and land management in the vicinity of Utqiaġvik (Barrow) on the North Slope of Alaska.

NASA Astrophysics Data System (ADS)

Cody, R. P.; Escarzaga, S. M.; Gaylord, A. G.; Kassin, A.; Barba, M.; Tweedie, C. E.

2017-12-01

The Utqiaġvik (Barrow) area of northern Alaska is one of the most intensely researched locations in the Arctic and the Barrow Area Information Database (BAID, www.barrowmapped.org) tracks and facilitates a gamut of research, management, and educational activities in the area. BAID is a cyberinfrastructure (CI) that details much of the historic and extant research undertaken within in the Barrow region in a suite of interactive web-based mapping and information portals (geobrowsers). The BAID user community and target audience for BAID is diverse and includes research scientists, science logisticians, land managers, educators, students, and the general public. BAID contains information on more than 18,000 Barrow area research sites that extend back to the 1940's and more than 640 remote sensing images and geospatial datasets. In a web-based setting, users can zoom, pan, query, measure distance, save or print maps and query results, and filter or view information by space, time, and/or other tags. Recent advances include provision of differential global positioning (dGPS) system and high resolution aerial imagery support to visiting scientists, analysis and multitemporal mapping of over 120 km of coastline for erosion monitoring; maintenance of a wireless micrometeorological sensor network; links to Barrow area datasets housed at national data archives; a NOAA funded community outreach program for citizen science and public outreach on costal erosion; and substantial upgrades to the BAID website. Web mapping applications that have launched to the public include: an Imagery Time Viewer that allows users to compare imagery of the Barrow area between 1948 and the present; a Coastal Erosion Viewer that allows users to view long-term (1955-2015) and recent (2013-2015) rates of erosion for the Barrow area; and a Community Planning tool that allows users to view and print dynamic reports based on an array of basemaps including a new 0.5m resolution wetlands map designed to enhance decision making for development and land management.

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

PubMed Central

Asselin, Pierre K.; Avedissian, Manuel; Knezevic, Steven; Kornfeld, Stephen; Spungen, Ann M.

2016-01-01

Powered exoskeletons have become available for overground ambulation in persons with paralyses due to spinal cord injury (SCI) who have intact upper extremity function and are able to maintain upright balance using forearm crutches. To ambulate in an exoskeleton, the user must acquire the ability to maintain balance while standing, sitting and appropriate weight shifting with each step. This can be a challenging task for those with deficits in sensation and proprioception in their lower extremities. This manuscript describes screening criteria and a training program developed at the James J. Peters VA Medical Center, Bronx, NY to teach users the skills needed to utilize these devices in institutional, home or community environments. Before training can begin, potential users are screened for appropriate range of motion of the hip, knee and ankle joints. Persons with SCI are at an increased risk of sustaining lower extremity fractures, even with minimal strain or trauma, therefore a bone mineral density assessment is performed to reduce the risk of fracture. Also, as part of screening, a physical examination is performed in order to identify additional health-related contraindications. Once the person has successfully passed all screening requirements, they are cleared to begin the training program. The device is properly adjusted to fit the user. A series of static and dynamic balance tasks are taught and performed by the user before learning to walk. The person is taught to ambulate in various environments ranging from indoor level surfaces to outdoors over uneven or changing surfaces. Once skilled enough to be a candidate for home use with the exoskeleton, the user is then required to designate a companion-walker who will train alongside them. Together, the pair must demonstrate the ability to perform various advanced tasks in order to be permitted to use the exoskeleton in their home/community environment. PMID:27340808

Exposing the Strategies that can Reduce the Obstacles: Improving the Science User Experience

NASA Astrophysics Data System (ADS)

Lindsay, F. E.; Brennan, J.; Behnke, J.; Lynnes, C.

2017-12-01

It is now well established that pursuing generic solutions to what seem are common problems in Earth science data access and use can often lead to disappointing results for both system developers and the intended users. This presentation focuses on real-world experience of managing a large and complex data system, NASA's Earth Science Data and Information Science System (EOSDIS), whose mission is to serve both broad user communities and those in smaller niche applications of Earth science data and services. In the talk, we focus on our experiences with known data user obstacles characterizing EOSDIS approaches, including various technological techniques, for engaging and bolstering, where possible, user experiences with EOSDIS. For improving how existing and prospective users discover and access NASA data from EOSDIS we introduce our cross-archive tool: Earthdata Search. This new search and order tool further empowers users to quickly access data sets using clever and intuitive features. The Worldview data visualization tool is also discussed highlighting how many users are now performing extensive data exploration without necessarily downloading data. Also, we explore our EOSDIS data discovery and access webinars, data recipes and short tutorials, targeted technical and data publications, user profiles and and social media as additional tools and methods used for improving our outreach and communications to a diverse user community. These efforts have paid substantial dividends for our user communities by allowing us to target discipline specific community needs. The desired take-away from this presentation will be an improved understanding of how EOSDIS has approached, and in several instances achieved, removing or lowering the barriers to data access and use. As we look ahead to more complex Earth science missions, EOSDIS will continue to focus on our user communities, both broad and specialized, so that our overall data system can continue to serve the needs of science and applications users.

Exposing the Strategies that Can Reduce the Obstacles: Improving the Science User Experience

NASA Technical Reports Server (NTRS)

Lindsay, Francis E.; Brennan, Jennifer; Behnke, Jeanne; Lynnes, Chris

2017-01-01

It is now well established that pursuing generic solutions to what seem are common problems in Earth science data access and use can often lead to disappointing results for both system developers and the intended users. This presentation focuses on real-world experience of managing a large and complex data system, NASAs Earth Science Data and Information Science System (EOSDIS), whose mission is to serve both broad user communities and those in smaller niche applications of Earth science data and services. In the talk, we focus on our experiences with known data user obstacles characterizing EOSDIS approaches, including various technological techniques, for engaging and bolstering, where possible, user experiences with EOSDIS. For improving how existing and prospective users discover and access NASA data from EOSDIS we introduce our cross-archive tool: Earthdata Search. This new search and order tool further empowers users to quickly access data sets using clever and intuitive features. The Worldview data visualization tool is also discussed highlighting how many users are now performing extensive data exploration without necessarily downloading data. Also, we explore our EOSDIS data discovery and access webinars, data recipes and short tutorials, targeted technical and data publications, user profiles and social media as additional tools and methods used for improving our outreach and communications to a diverse user community. These efforts have paid substantial dividends for our user communities by allowing us to target discipline specific community needs. The desired take-away from this presentation will be an improved understanding of how EOSDIS has approached, and in several instances achieved, removing or lowering the barriers to data access and use. As we look ahead to more complex Earth science missions, EOSDIS will continue to focus on our user communities, both broad and specialized, so that our overall data system can continue to serve the needs of science and applications users.

Introducing a Public Stereoscopic 3D High Dynamic Range (SHDR) Video Database

NASA Astrophysics Data System (ADS)

Banitalebi-Dehkordi, Amin

2017-03-01

High dynamic range (HDR) displays and cameras are paving their ways through the consumer market at a rapid growth rate. Thanks to TV and camera manufacturers, HDR systems are now becoming available commercially to end users. This is taking place only a few years after the blooming of 3D video technologies. MPEG/ITU are also actively working towards the standardization of these technologies. However, preliminary research efforts in these video technologies are hammered by the lack of sufficient experimental data. In this paper, we introduce a Stereoscopic 3D HDR database of videos that is made publicly available to the research community. We explain the procedure taken to capture, calibrate, and post-process the videos. In addition, we provide insights on potential use-cases, challenges, and research opportunities, implied by the combination of higher dynamic range of the HDR aspect, and depth impression of the 3D aspect.

Gromita: a fully integrated graphical user interface to gromacs 4.

PubMed

Sellis, Diamantis; Vlachakis, Dimitrios; Vlassi, Metaxia

2009-09-07

Gromita is a fully integrated and efficient graphical user interface (GUI) to the recently updated molecular dynamics suite Gromacs, version 4. Gromita is a cross-platform, perl/tcl-tk based, interactive front end designed to break the command line barrier and introduce a new user-friendly environment to run molecular dynamics simulations through Gromacs. Our GUI features a novel workflow interface that guides the user through each logical step of the molecular dynamics setup process, making it accessible to both advanced and novice users. This tool provides a seamless interface to the Gromacs package, while providing enhanced functionality by speeding up and simplifying the task of setting up molecular dynamics simulations of biological systems. Gromita can be freely downloaded from http://bio.demokritos.gr/gromita/.

Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network

PubMed Central

Eggo, Rosalind M; Lenczner, Michael

2015-01-01

Background Multiple waves of transmission during infectious disease epidemics represent a major public health challenge, but the ecological and behavioral drivers of epidemic resurgence are poorly understood. In theory, community structure—aggregation into highly intraconnected and loosely interconnected social groups—within human populations may lead to punctuated outbreaks as diseases progress from one community to the next. However, this explanation has been largely overlooked in favor of temporal shifts in environmental conditions and human behavior and because of the difficulties associated with estimating large-scale contact patterns. Objective The aim was to characterize naturally arising patterns of human contact that are capable of producing simulated epidemics with multiple wave structures. Methods We used an extensive dataset of proximal physical contacts between users of a public Wi-Fi Internet system to evaluate the epidemiological implications of an empirical urban contact network. We characterized the modularity (community structure) of the network and then estimated epidemic dynamics under a percolation-based model of infectious disease spread on the network. We classified simulated epidemics as multiwave using a novel metric and we identified network structures that were critical to the network’s ability to produce multiwave epidemics. Results We identified robust community structure in a large, empirical urban contact network from which multiwave epidemics may emerge naturally. This pattern was fueled by a special kind of insularity in which locally popular individuals were not the ones forging contacts with more distant social groups. Conclusions Our results suggest that ordinary contact patterns can produce multiwave epidemics at the scale of a single urban area without the temporal shifts that are usually assumed to be responsible. Understanding the role of community structure in epidemic dynamics allows officials to anticipate epidemic resurgence without having to forecast future changes in hosts, pathogens, or the environment. PMID:26156032

The Evolution of a Science Project: A Preliminary System Dynamics Model of a Recurring Software-Reliant Acquisition Behavior

DTIC Science & Technology

2012-07-01

3.3.4 User Community Management 14 3.3.5 Uncontrolled Prototype Growth 14 3.3.6 Project Manager Decisions 15 3.3.7 The 90% Syndrome 15 3.3.8 Re...Figure 3: 90% Syndrome Due to Rippling Rework in the Production Development 21 Figure 4: Causal Loop Diagram of "The Evolution of a Science Project...Unintended Burnout Due to Overtime 60 V | CMU/SEI-2012-TR-001 Acknowledgments Many people have worked to sponsor and improve this report and the

[Family and chronic paediatric illness].

PubMed

Grau Rubio, Claudia; Fernández Hawrylak, M

2010-01-01

Pediatric illnesses are always a family problem. Hospitalization, treatments and their long term consequences constitute a challenge for the family. In this paper, we describe the structural, procedural and emotional alterations that affect the family dynamic. We argue that the child should be treated within the family context and propose a multi-dimensional intervention model centered on the family's singularities and specific needs, the support available in their environment, the development of capacities and resilience, and also the organization of user-centered services that are coordinated with all the services provided by the community.

Information Power Grid (IPG) Tutorial 2003

NASA Technical Reports Server (NTRS)

Meyers, George

2003-01-01

For NASA and the general community today Grid middleware: a) provides tools to access/use data sources (databases, instruments, ...); b) provides tools to access computing (unique and generic); c) Is an enabler of large scale collaboration. Dynamically responding to needs is a key selling point of a grid. Independent resources can be joined as appropriate to solve a problem. Provide tools to enable the building of a frameworks for application. Provide value added service to the NASA user base for utilizing resources on the grid in new and more efficient ways. Provides tools for development of Frameworks.

The Topology of a Discussion: The #Occupy Case.

PubMed

Gargiulo, Floriana; Bindi, Jacopo; Apolloni, Andrea

2015-01-01

We analyse a large sample of the Twitter activity that developed around the social movement 'Occupy Wall Street', to study the complex interactions between the human communication activity and the semantic content of a debate. We use a network approach based on the analysis of the bipartite graph @Users-#Hashtags and of its projections: the 'semantic network', whose nodes are hashtags, and the 'users interest network', whose nodes are users. In the first instance, we find out that discussion topics (#hashtags) present a high structural heterogeneity, with a relevant role played by the semantic hubs that are responsible to guarantee the continuity of the debate. In the users' case, the self-organisation process of users' activity, leads to the emergence of two classes of communicators: the 'professionals' and the 'amateurs'. Both the networks present a strong community structure, based on the differentiation of the semantic topics, and a high level of structural robustness when certain sets of topics are censored and/or accounts are removed. By analysing the characteristics of the dynamical networks we can distinguish three phases of the discussion about the movement. Each phase corresponds to a specific moment of the movement: from declaration of intent, organisation and development and the final phase of political reactions. Each phase is characterised by the presence of prototypical #hashtags in the discussion.

OpenSim: open-source software to create and analyze dynamic simulations of movement.

PubMed

Delp, Scott L; Anderson, Frank C; Arnold, Allison S; Loan, Peter; Habib, Ayman; John, Chand T; Guendelman, Eran; Thelen, Darryl G

2007-11-01

Dynamic simulations of movement allow one to study neuromuscular coordination, analyze athletic performance, and estimate internal loading of the musculoskeletal system. Simulations can also be used to identify the sources of pathological movement and establish a scientific basis for treatment planning. We have developed a freely available, open-source software system (OpenSim) that lets users develop models of musculoskeletal structures and create dynamic simulations of a wide variety of movements. We are using this system to simulate the dynamics of individuals with pathological gait and to explore the biomechanical effects of treatments. OpenSim provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through a multi-institutional collaboration. Developing software that enables a concerted effort from many investigators poses technical and sociological challenges. Meeting those challenges will accelerate the discovery of principles that govern movement control and improve treatments for individuals with movement pathologies.

Dynamics of backlight luminance for using smartphone in dark environment

NASA Astrophysics Data System (ADS)

Na, Nooree; Jang, Jiho; Suk, Hyeon-Jeong

2014-02-01

This study developed dynamic backlight luminance, which gradually changes as time passes for comfortable use of a smartphone display in a dark environment. The study was carried out in two stages. In the first stage, a user test was conducted to identify the optimal luminance by assessing the facial squint level, subjective glare evaluation, eye blink frequency and users' subjective preferences. Based on the results of the user test, the dynamics of backlight luminance was designed. It has two levels of luminance: the optimal level for initial viewing to avoid sudden glare or fatigue to users' eyes, and the optimal level for constant viewing, which is comfortable, but also bright enough for constant reading of the displayed material. The luminance for initial viewing starts from 10 cd/m2, and it gradually increases to 40 cd/m2 for users' visual comfort at constant viewing for 20 seconds; In the second stage, a validation test on dynamics of backlight luminance was conducted to verify the effectiveness of the developed dynamics. It involving users' subjective preferences, eye blink frequency, and brainwave analysis using the electroencephalogram (EEG) to confirm that the proposed dynamic backlighting enhances users' visual comfort and visual cognition, particularly for using smartphones in a dark environment.

Understanding User Behavioral Patterns in Open Knowledge Communities

ERIC Educational Resources Information Center

Yang, Xianmin; Song, Shuqiang; Zhao, Xinshuo; Yu, Shengquan

2018-01-01

Open knowledge communities (OKCs) have become popular in the era of knowledge economy. This study aimed to explore how users collaboratively create and share knowledge in OKCs. In particular, this research identified the behavior distribution and behavioral patterns of users by conducting frequency distribution and lag sequential analyses. Some…

User-Centered Design of Online Learning Communities

ERIC Educational Resources Information Center

Lambropoulos, Niki, Ed.; Zaphiris, Panayiotis, Ed.

2007-01-01

User-centered design (UCD) is gaining popularity in both the educational and business sectors. This is due to the fact that UCD sheds light on the entire process of analyzing, planning, designing, developing, using, evaluating, and maintaining computer-based learning. "User-Centered Design of Online Learning Communities" explains how…

Must Invisible Colleges Be Invisible? An Approach to Examining Large Communities of Network Users.

ERIC Educational Resources Information Center

Ruth, Stephen R.; Gouet, Raul

1993-01-01

Discussion of characteristics of users of computer-mediated communication systems and scientific networks focuses on a study of the scientific community in Chile. Topics addressed include users and nonusers; productivity; educational level; academic specialty; age; gender; international connectivity; public policy issues; and future research…

Multilabel user classification using the community structure of online networks

PubMed Central

Papadopoulos, Symeon; Kompatsiaris, Yiannis

2017-01-01

We study the problem of semi-supervised, multi-label user classification of networked data in the online social platform setting. We propose a framework that combines unsupervised community extraction and supervised, community-based feature weighting before training a classifier. We introduce Approximate Regularized Commute-Time Embedding (ARCTE), an algorithm that projects the users of a social graph onto a latent space, but instead of packing the global structure into a matrix of predefined rank, as many spectral and neural representation learning methods do, it extracts local communities for all users in the graph in order to learn a sparse embedding. To this end, we employ an improvement of personalized PageRank algorithms for searching locally in each user’s graph structure. Then, we perform supervised community feature weighting in order to boost the importance of highly predictive communities. We assess our method performance on the problem of user classification by performing an extensive comparative study among various recent methods based on graph embeddings. The comparison shows that ARCTE significantly outperforms the competition in almost all cases, achieving up to 35% relative improvement compared to the second best competing method in terms of F1-score. PMID:28278242

A Service Oriented Infrastructure for Earth Science exchange

NASA Astrophysics Data System (ADS)

Burnett, M.; Mitchell, A.

2008-12-01

NASA's Earth Science Distributed Information System (ESDIS) program has developed an infrastructure for the exchange of Earth Observation related resources. Fundamentally a platform for Service Oriented Architectures, ECHO provides standards-based interfaces based on the basic interactions for a SOA pattern: Publish, Find and Bind. This infrastructure enables the realization of the benefits of Service Oriented Architectures, namely the reduction of stove-piped systems, the opportunity for reuse and flexibility to meet dynamic business needs, on a global scale. ECHO is the result of the infusion of IT technologies, including those standards of Web Services and Service Oriented Architecture technologies. The infrastructure is based on standards and leverages registries for data, services, clients and applications. As an operational system, ECHO currently representing over 110 million Earth Observation resources from a wide number of provider organizations. These partner organizations each have a primary mission - serving a particular facet of the Earth Observation community. Through ECHO, those partners can serve the needs of not only their target portion of the community, but also enable a wider range of users to discover and leverage their data resources, thereby increasing the value of their offerings. The Earth Observation community benefits from this infrastructure because it provides a set of common mechanisms for the discovery and access to resources from a much wider range of data and service providers. ECHO enables innovative clients to be built for targeted user types and missions. There several examples of those clients already in process. Applications built on this infrastructure can include User-driven, GUI-clients (web-based or thick clients), analysis programs (as intermediate components of larger systems), models or decision support systems. This paper will provide insight into the development of ECHO, as technologies were evaluated for infusion, and a summary of how technologies where leveraged into a significant operational system for the Earth Observation community.

Analysis and Visualization of Internet QA Bulletin Boards Represented as Heterogeneous Networks

NASA Astrophysics Data System (ADS)

Murata, Tsuyoshi; Ikeya, Tomoyuki

Visualizing and analyzing social interactions of CGM (Consumer Generated Media) are important for understanding overall activities on the internet. Social interactions are often represented as simple networks that are composed of homogeneous nodes and edges between them. However, related entities in real world are often not homogeneous. Such relations are naturally represented as heterogeneous networks composed of more than one kind of nodes and edges connecting them. In the case of CGM, for example, users and their contents constitute nodes of heterogeneous networks. There are related users (user communities) and related contents (contents communities) in the heterogeneous networks. Discovering both communities and finding correspondence among them will clarify the characteristics of the communites. This paper describes an attempt for visualizing and analyzing social interactions of Yahoo! Chiebukuro (Japanese Yahoo! Answers). New criteria for measuring correspondence between user communities and board communites are defined, and characteristics of both communities are analyzed using the criteria.

[Evaluation of the family focus and community orientation in the Family Health Strategy].

PubMed

Alencar, Monyk Neves de; Coimbra, Liberata Campos; Morais, Ana Patrícia Pereira; Silva, Antônio Augusto Moura da; Pinheiro, Siane Rocha de Almeida; Queiroz, Rejane Christine de Sousa

2014-02-01

The Family Health Strategy should be focused on the family unit and constructed operationally within the community sphere. The research assessed the family focus and community orientation as attributes of Primary Health Care, comparing if the responses differed among users, professionals and managers. It is an evaluative study of a population-based quantitative approach conducted between January 2010 and March 2011 in São Luís in the state of Maranhão. The study involved a population of 32 managers and 80 professionals with more than six months experience in the Family Health Strategy, and 883 users were selected by means of cluster sampling. Questionnaires validated in Brazil were used based on the components of the Primary Care Assessment Tool (PCATool). The composite index of the family focus was 2.7 for users, 4.9 for professionals and 5.3 for managers. In the posttest phase, differences were detected between users and professionals, and users and managers. The composite index of community orientation was 2.9 for users, 3.9 for professionals and 4.8 for managers (p < 0.001). Managers attributed higher percentages in all indicators, followed by professionals and lastly users. Both attributes were rated as being unsatisfactory in the perception of the users.

Meeting the Regional Climate Information Needs of Decision Makers: The CORDEX Framework

NASA Astrophysics Data System (ADS)

Asrar, G. R.; Jones, C.; Giorgi, F.

2011-12-01

Regional Climate Downscaling (RCD), both dynamical (e.g. regional climate modeling) and statistical, is an important approach to produce fine scale climate information for use in impact assessment and adaptation/mitigation studies and practices. RCD techniques have evolved significantly over the last decade, however a coherent and wide picture of regional climate change based on RCD products is still not available and the potentials, limitations and uncertainties of RCD methods need to be better understood by the user community. In order to address these issues a new initiative has been launched under the WCRP auspices, referred to as Coordinated Regional climate Downscaling EXperiment, or CORDEX. The aim of CORDEX is to bring together the international RCD community to assess different RCD techniques, recommend best practices and produce a next generation set of RCD-based projections of climate change for regions world-wide. This will involve close interactions between the RCD, global climate modeling, and end users communities. This paper will describe the motivations and design of the first phase of the CORDEX framework, which has a priority focus on Africa, along with the steps that are envisioned to achieve the CORDEX goals within the time framework of the Fifth IPCC assessment report. Some early results for Africa will be presented, together with a short summary of the CORDEX activities in Asia, Americas and other regions of the world.

Growing Data User Communities

NASA Astrophysics Data System (ADS)

Wiggin, B.

2017-12-01

Preserving data is not only a technical challenge. Perhaps the best way to protect data is to use it. Grassroots efforts to make research-quality copies of federal data continue to energize communities of data users who often did not previously recognize themselves as open earth data users. Beyond "data rescue" events, the Data Refuge project researches how federal climate and environmental data are used downstream in a variety of local communities and municipal governments to address everyday issues: public health, municipal safety, and even the preservation of cultural heritage assets. Documenting the diverse uses made of open earth data beyond the earth sciences research community grows the community who, in making use of data, also helps to preserve it.

Being connected to the local community through a Festival mobile application

DOE Office of Scientific and Technical Information (OSTI.GOV)

Han, Kyungsik; Wirth, Richard; Hanrahan, Benjamin

In this paper we report our investigation into how using and interacting with a local festival mobile app enhanced users’ festival experiences and connected them to other local users and their community. We explored the relationship between users’ perceived basic affordances of mobile technology, perceived opportunities of the festival app, and three elements that sustain the local community — attachment, engagement, and social support networks. Based on the usage logs of 348 active users, as well as survey responses from 80 users, we present a mobile-mediated local community framework and found that engagement is a key mediator of mobile experiencesmore » and facets of community.« less

Understanding the Social Navigation User Experience

ERIC Educational Resources Information Center

Goecks, Jeremy

2009-01-01

A social navigation system collects data from its users--its community--about what they are doing, their opinions, and their decisions, aggregates this data, and provides the aggregated data--community data--back to individuals so that they can use it to guide behavior and decisions. Social navigation systems empower users with the ability to…

A Missing Link: People, Practice and Some Precarious Research!

ERIC Educational Resources Information Center

Higdon, Carolyn Wiles; Higdon, Lawrence W.

2004-01-01

The field of augmentative and alternative communication's (AAC) missing link is the discrepancy between what the research community identifies as needs and what the clinical community, including the AAC user, believes to be the AAC user's needs. An unrealistic picture of the AAC user occurs, developing a top-down effect of limited outcomes,…

COMDYN: Software to study the dynamics of animal communities using a capture-recapture approach

USGS Publications Warehouse

Hines, J.E.; Boulinier, T.; Nichols, J.D.; Sauer, J.R.; Pollock, K.H.

1999-01-01

COMDYN is a set of programs developed for estimation of parameters associated with community dynamics using count data from two locations or time periods. It is Internet-based, allowing remote users either to input their own data, or to use data from the North American Breeding Bird Survey for analysis. COMDYN allows probability of detection to vary among species and among locations and time periods. The basic estimator for species richness underlying all estimators is the jackknife estimator proposed by Burnham and Overton. Estimators are presented for quantities associated with temporal change in species richness, including rate of change in species richness over time, local extinction probability, local species turnover and number of local colonizing species. Estimators are also presented for quantities associated with spatial variation in species richness, including relative richness at two locations and proportion of species present in one location that are also present at a second location. Application of the estimators to species richness estimation has been previously described and justified. The potential applications of these programs are discussed.

Next Generation Community Based Unified Global Modeling System Development and Operational Implementation Strategies at NCEP

NASA Astrophysics Data System (ADS)

Tallapragada, V.

2017-12-01

NOAA's Next Generation Global Prediction System (NGGPS) has provided the unique opportunity to develop and implement a non-hydrostatic global model based on Geophysical Fluid Dynamics Laboratory (GFDL) Finite Volume Cubed Sphere (FV3) Dynamic Core at National Centers for Environmental Prediction (NCEP), making a leap-step advancement in seamless prediction capabilities across all spatial and temporal scales. Model development efforts are centralized with unified model development in the NOAA Environmental Modeling System (NEMS) infrastructure based on Earth System Modeling Framework (ESMF). A more sophisticated coupling among various earth system components is being enabled within NEMS following National Unified Operational Prediction Capability (NUOPC) standards. The eventual goal of unifying global and regional models will enable operational global models operating at convective resolving scales. Apart from the advanced non-hydrostatic dynamic core and coupling to various earth system components, advanced physics and data assimilation techniques are essential for improved forecast skill. NGGPS is spearheading ambitious physics and data assimilation strategies, concentrating on creation of a Common Community Physics Package (CCPP) and Joint Effort for Data Assimilation Integration (JEDI). Both initiatives are expected to be community developed, with emphasis on research transitioning to operations (R2O). The unified modeling system is being built to support the needs of both operations and research. Different layers of community partners are also established with specific roles/responsibilities for researchers, core development partners, trusted super-users, and operations. Stakeholders are engaged at all stages to help drive the direction of development, resources allocations and prioritization. This talk presents the current and future plans of unified model development at NCEP for weather, sub-seasonal, and seasonal climate prediction applications with special emphasis on implementation of NCEP FV3 Global Forecast System (GFS) and Global Ensemble Forecast System (GEFS) into operations by 2019.

Global Village as Virtual Community (On Writing, Thinking, and Teacher Education).

ERIC Educational Resources Information Center

Polin, Linda

1993-01-01

Describes virtual communities known as Multi-User Simulated Environment (MUSE) or Multi-User Object Oriented environment (MOO), text-based computer "communities" whose inhabitants are a combination of the real people and constructed objects that people agree to treat as real. Describes their uses in the classroom. (SR)

A power information user (PIU) model to promote information integration in Tennessee's public health community.

PubMed

Sathe, Nila A; Lee, Patricia; Giuse, Nunzia Bettinsoli

2004-10-01

Observation and immersion in the user community are critical factors in designing and implementing informatics solutions; such practices ensure relevant interventions and promote user acceptance. Libraries can adapt these strategies to developing instruction and outreach. While needs assessment is typically a core facet of library instruction, sustained, iterative assessment underlying the development of user-centered instruction is key to integrating resource use into the workflow. This paper describes the Eskind Biomedical Library's (EBL's) recent work with the Tennessee public health community to articulate a training model centered around developing power information users (PIUs). PIUs are community-based individuals with an advanced understanding of information seeking and resource use and are committed to championing information integration. As model development was informed by observation of PIU workflow and information needs, it also allowed for informal testing of the applicability of assessment via domain immersion in library outreach. Though the number of PIUs involved in the project was small, evaluation indicated that the model was useful for promoting information use in PIU workgroups and that the concept of domain immersion was relevant to library-related projects. Moreover, EBL continues to employ principles of domain understanding inherent in the PIU model to develop further interventions for the public health community and library users.

Dynamic species classification of microorganisms across time, abiotic and biotic environments—A sliding window approach

PubMed Central

Griffiths, Jason I.; Fronhofer, Emanuel A.; Garnier, Aurélie; Seymour, Mathew; Altermatt, Florian; Petchey, Owen L.

2017-01-01

The development of video-based monitoring methods allows for rapid, dynamic and accurate monitoring of individuals or communities, compared to slower traditional methods, with far reaching ecological and evolutionary applications. Large amounts of data are generated using video-based methods, which can be effectively processed using machine learning (ML) algorithms into meaningful ecological information. ML uses user defined classes (e.g. species), derived from a subset (i.e. training data) of video-observed quantitative features (e.g. phenotypic variation), to infer classes in subsequent observations. However, phenotypic variation often changes due to environmental conditions, which may lead to poor classification, if environmentally induced variation in phenotypes is not accounted for. Here we describe a framework for classifying species under changing environmental conditions based on the random forest classification. A sliding window approach was developed that restricts temporal and environmentally conditions to improve the classification. We tested our approach by applying the classification framework to experimental data. The experiment used a set of six ciliate species to monitor changes in community structure and behavior over hundreds of generations, in dozens of species combinations and across a temperature gradient. Differences in biotic and abiotic conditions caused simplistic classification approaches to be unsuccessful. In contrast, the sliding window approach allowed classification to be highly successful, as phenotypic differences driven by environmental change, could be captured by the classifier. Importantly, classification using the random forest algorithm showed comparable success when validated against traditional, slower, manual identification. Our framework allows for reliable classification in dynamic environments, and may help to improve strategies for long-term monitoring of species in changing environments. Our classification pipeline can be applied in fields assessing species community dynamics, such as eco-toxicology, ecology and evolutionary ecology. PMID:28472193

Online Access to Weather Satellite Imagery Through the World Wide Web

NASA Technical Reports Server (NTRS)

Emery, W.; Baldwin, D.

1998-01-01

Both global area coverage (GAC) and high-resolution picture transmission (HRTP) data from the Advanced Very High Resolution Radiometer (AVHRR) are made available to laternet users through an online data access system. Older GOES-7 data am also available. Created as a "testbed" data system for NASA's future Earth Observing System Data and Information System (EOSDIS), this testbed provides an opportunity to test both the technical requirements of an onune'd;ta system and the different ways in which the -general user, community would employ such a system. Initiated in December 1991, the basic data system experienced five major evolutionary changes In response to user requests and requirements. Features added with these changes were the addition of online browse, user subsetting, dynamic image Processing/navigation, a stand-alone data storage system, and movement,from an X-windows graphical user Interface (GUI) to a World Wide Web (WWW) interface. Over Its lifetime, the system has had as many as 2500 registered users. The system on the WWW has had over 2500 hits since October 1995. Many of these hits are by casual users that only take the GIF images directly from the interface screens and do not specifically order digital data. Still, there b a consistent stream of users ordering the navigated image data and related products (maps and so forth). We have recently added a real-time, seven- day, northwestern United States normalized difference vegetation index (NDVI) composite that has generated considerable Interest. Index Terms-Data system, earth science, online access, satellite data.

Sustainable Land Imaging User Requirements

NASA Astrophysics Data System (ADS)

Wu, Z.; Snyder, G.; Vadnais, C. M.

2017-12-01

The US Geological Survey (USGS) Land Remote Sensing Program (LRSP) has collected user requirements from a range of applications to help formulate the Landsat 9 follow-on mission (Landsat 10) through the Requirements, Capabilities and Analysis (RCA) activity. The USGS is working with NASA to develop Landsat 10, which is scheduled to launch in the 2027 timeframe as part of the Sustainable Land Imaging program. User requirements collected through RCA will help inform future Landsat 10 sensor designs and mission characteristics. Current Federal civil community users have provided hundreds of requirements through systematic, in-depth interviews. Academic, State, local, industry, and international Landsat user community input was also incorporated in the process. Emphasis was placed on spatial resolution, temporal revisit, and spectral characteristics, as well as other aspects such as accuracy, continuity, sampling condition, data access and format. We will provide an overview of the Landsat 10 user requirements collection process and summary results of user needs from the broad land imagining community.

Expanding the user base beyond HEP for the Ganga distributed analysis user interface

NASA Astrophysics Data System (ADS)

Currie, R.; Egede, U.; Richards, A.; Slater, M.; Williams, M.

2017-10-01

This document presents the result of recent developments within Ganga[1] project to support users from new communities outside of HEP. In particular I will examine the case of users from the Large Scale Survey Telescope (LSST) group looking to use resources provided by the UK based GridPP[2][3] DIRAC[4][5] instance. An example use case is work performed with users from the LSST Virtual Organisation (VO) to distribute the workflow used for galaxy shape identification analyses. This work highlighted some LSST specific challenges which could be well solved by common tools within the HEP community. As a result of this work the LSST community was able to take advantage of GridPP[2][3] resources to perform large computing tasks within the UK.

Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum.

PubMed

Yasuma, Fumihito; Mitsunaga, Tomoo; Iso, Daisuke; Nayar, Shree K

2010-09-01

We propose the concept of a generalized assorted pixel (GAP) camera, which enables the user to capture a single image of a scene and, after the fact, control the tradeoff between spatial resolution, dynamic range and spectral detail. The GAP camera uses a complex array (or mosaic) of color filters. A major problem with using such an array is that the captured image is severely under-sampled for at least some of the filter types. This leads to reconstructed images with strong aliasing. We make four contributions in this paper: 1) we present a comprehensive optimization method to arrive at the spatial and spectral layout of the color filter array of a GAP camera. 2) We develop a novel algorithm for reconstructing the under-sampled channels of the image while minimizing aliasing artifacts. 3) We demonstrate how the user can capture a single image and then control the tradeoff of spatial resolution to generate a variety of images, including monochrome, high dynamic range (HDR) monochrome, RGB, HDR RGB, and multispectral images. 4) Finally, the performance of our GAP camera has been verified using extensive simulations that use multispectral images of real world scenes. A large database of these multispectral images has been made available at http://www1.cs.columbia.edu/CAVE/projects/gap_camera/ for use by the research community.

Digital item for digital human memory--television commerce application: family tree albuming system

NASA Astrophysics Data System (ADS)

Song, Jaeil; Lee, Hyejoo; Hong, JinWoo

2004-01-01

Technical advance in creating, storing digital media in daily life enables computers to capture human life and remember it as people do. A critical point with digitizing human life is how to recall bits of experience that are associated by semantic information. This paper proposes a technique for structuring dynamic digital object based on MPEG-21 Digital Item (DI) in order to recall human"s memory and providing interactive TV service on family tree albuming system as one of its applications. DIs are a dynamically reconfigurable, uniquely identified, described by a descriptor language, logical unit for structuring relationship among multiple media resources. Digital Item Processing (DIP) provides the means to interact with DIs to remind context to user, with active properties where objects have executable properties. Each user can adapt DIs" active properties to tailor the behavior of DIs to match his/her own specific needs. DIs" technologies in Intellectual Property Management and Protection (IPMP) can be used for privacy protection. In the interaction between the social space and technological space, the internal dynamics of family life fits well sharing family albuming service via family television. Family albuming service can act as virtual communities builders for family members. As memory is shared between family members, multiple annotations (including active properties on contextual information) will be made with snowballing value.

Focus Group in Community Mental Health Research: Need for Adaption.

PubMed

Zupančič, Vesna; Pahor, Majda; Kogovšek, Tina

2018-04-27

The article presents an analysis of the use of focus groups in researching community mental health users, starting with the reasons for using them, their implementation in mental health service users' research, and the adaptations of focus group use when researching the experiences of users. Based on personal research experience and a review of scientific publications in the Google Scholar, Web of Science, ProQuest, EBSCOhost, and Scopus databases, 20 articles published between 2010 and 2016 were selected for targeted content analysis. A checklist for reporting on the use of focus groups with community mental health service users, aiming to improve the comparability, verifiability and validity was developed. Adaptations of the implementation of focus groups in relation to participants' characteristics were suggested. Focus groups are not only useful as a scientific research technique, but also for ensuring service users' participation in decision-making in community mental health and evaluating the quality of the mental health system and services .

Assessment of Soil Moisture Data Requirements by the Potential SMAP Data User Community: Review of SMAP Mission User Community

NASA Technical Reports Server (NTRS)

Brown, Molly E.; Escobar, Vanessa M.

2013-01-01

NASA's Soil Moisture Active and Passive (SMAP) mission is planned for launch in October 2014 and will provide global measurements of soil moisture and freeze thaw state. The project is driven by both basic research and applied science goals. Understanding how application driven end-users will apply SMAP data, prior to the satellite's launch, is an important goal of NASA's applied science program and SMAP mission success. Because SMAP data are unique, there are no direct proxy data sets that can be used in research and operational studies to determine how the data will interact with existing processes. The objective of this study is to solicit data requirements, accuracy needs, and current understanding of the SMAP mission from the potential user community. This study showed that the data to be provided by the SMAP mission did substantially meet the user community needs. Although there was a broad distribution of requirements stated, the SMAP mission fit within these requirements.

User Interface Design for Dynamic Geometry Software

ERIC Educational Resources Information Center

Kortenkamp, Ulrich; Dohrmann, Christian

2010-01-01

In this article we describe long-standing user interface issues with Dynamic Geometry Software and common approaches to address them. We describe first prototypes of multi-touch-capable DGS. We also give some hints on the educational benefits of proper user interface design.

Trust and compactness in social network groups.

PubMed

De Meo, Pasquale; Ferrara, Emilio; Rosaci, Domenico; Sarné, Giuseppe M L

2015-02-01

Understanding the dynamics behind group formation and evolution in social networks is considered an instrumental milestone to better describe how individuals gather and form communities, how they enjoy and share the platform contents, how they are driven by their preferences/tastes, and how their behaviors are influenced by peers. In this context, the notion of compactness of a social group is particularly relevant. While the literature usually refers to compactness as a measure to merely determine how much members of a group are similar among each other, we argue that the mutual trustworthiness between the members should be considered as an important factor in defining such a term. In fact, trust has profound effects on the dynamics of group formation and their evolution: individuals are more likely to join with and stay in a group if they can trust other group members. In this paper, we propose a quantitative measure of group compactness that takes into account both the similarity and the trustworthiness among users, and we present an algorithm to optimize such a measure. We provide empirical results, obtained from the real social networks EPINIONS and CIAO, that compare our notion of compactness versus the traditional notion of user similarity, clearly proving the advantages of our approach.

Beam dynamics and expected performance of Sweden's new storage-ring light source: MAX IV

NASA Astrophysics Data System (ADS)

Leemann, S. C.; Andersson, Å.; Eriksson, M.; Lindgren, L.-J.; Wallén, E.; Bengtsson, J.; Streun, A.

2009-12-01

MAX IV will be Sweden’s next-generation high-performance synchrotron radiation source. The project has recently been granted funding and construction is scheduled to begin in 2010. User operation for a broad and international user community should commence in 2015. The facility is comprised of two storage rings optimized for different wavelength ranges, a linac-based short-pulse facility and a free-electron laser for the production of coherent radiation. The main radiation source of MAX IV will be a 528 m ultralow emittance storage ring operated at 3 GeV for the generation of high-brightness hard x rays. This storage ring was designed to meet the requirements of state-of-the-art insertion devices which will be installed in nineteen 5 m long dispersion-free straight sections. The storage ring is based on a novel multibend achromat design delivering an unprecedented horizontal bare lattice emittance of 0.33 nm rad and a vertical emittance below the 8 pm rad diffraction limit for 1 Å radiation. In this paper we present the beam dynamics considerations behind this storage-ring design and detail its expected unique performance.

Augmented Reality for Searching Potential Assets in Medan using GPS based Tracking

NASA Astrophysics Data System (ADS)

Muchtar, M. A.; Syahputra, M. F.; Syahputra, N.; Ashrafia, S.; Rahmat, R. F.

2017-01-01

Every city is required to introduce its variety of potential assets so that the people know how to utilize or to develop their area. Potential assets include infrastructure, facilities, people, communities, organizations, customs that affects the characteristics and the way of life in Medan. Due to lack of socialization and information, most of people in Medan only know a few parts of the assets. Recently, so many mobile apps provide search and mapping locations used to find the location of potential assets in user’s area. However, the available information, such as text and digital maps, sometimes do not much help the user clearly and dynamically. Therefore, Augmented Reality technology able to display information in real world vision is implemented in this research so that the information can be more interactive and easily understood by user. This technology will be implemented in mobile apps using GPS based tracking and define the coordinate of user’s smartphone as a marker so that it can help people dynamically and easily find the location of potential assets in the nearest area based on the direction of user’s view on camera.

NERIES: Seismic Data Gateways and User Composed Datasets Metadata Management

NASA Astrophysics Data System (ADS)

Spinuso, Alessandro; Trani, Luca; Kamb, Linus; Frobert, Laurent

2010-05-01

One of the NERIES EC project main objectives is to establish and improve the networking of seismic waveform data exchange and access among four main data centers in Europe: INGV, GFZ, ORFEUS and IPGP. Besides the implementation of the data backbone, several investigations and developments have been conducted in order to offer to the users the data available from this network, either programmatically or interactively. One of the challenges is to understand how to enable users` activities such as discovering, aggregating, describing and sharing datasets to obtain a decrease in the replication of similar data queries towards the network, exempting the data centers to guess and create useful pre-packed products. We`ve started to transfer this task more and more towards the users community, where the users` composed data products could be extensively re-used. The main link to the data is represented by a centralized webservice (SeismoLink) acting like a single access point to the whole data network. Users can download either waveform data or seismic station inventories directly from their own software routines by connecting to this webservice, which routes the request to the data centers. The provenance of the data is maintained and transferred to the users in the form of URIs, that identify the dataset and implicitly refer to the data provider. SeismoLink, combined with other webservices (eg EMSC-QuakeML earthquakes catalog service), is used from a community gateway such as the NERIES web portal (http://www.seismicportal.eu). Here the user interacts with a map based portlet which allows the dynamic composition of a data product, binding seismic event`s parameters with a set of seismic stations. The requested data is collected by the back-end processes of the portal, preserved and offered to the user in a personal data cart, where metadata can be generated interactively on-demand. The metadata, expressed in RDF, can also be remotely ingested. They offer rating, provenance and user annotation properties. Once generated they are included into a proprietary taxonomy, used by the overall architecture of the web portal. The metadata are made available through a SPARQL endpoint, thus allowing the datasets to be aggregated and shared among users in a meaningful way, enabling at the same time the development of third party visualization tools beyond the portal infrastructure. The SEE-GRID-SCI and the JISC-funded RapidSeis projects investigate the usage of this framework to enable the waveform data processing over the Grid.

Integrating WorldWide Telescope with Wordpress

NASA Astrophysics Data System (ADS)

Sands, Mark; Luebbert, J.; Fay, J.; Gay, P. L.

2010-01-01

In this project we unite three major components of astronomy and new media: World Wide Telescope, Wordpress, and user supplied audio. Through an easy to use Wordpress plug-in users can create WorldWide Telescope sky tours that allow: a) astronomers and educators to spread the facts and awareness of astronomy, potentially bringing new and interested individuals into the astronomy community; b) bloggers/podcasters to create dynamic, virtual tours of the universe that are nearly boundless; and, c) readers to benefit from the alluring WorldWide Telescope tours by gaining a new and dramatic outlook on our universe. This software has the potential to augment, and in some cases replace, traditional methods of astronomy centered online lectures. With this plugin, it is possible to combine Wordpress-based website content with audio, and a sky tour that can be paused at any object. This ability to pause a sky tour allows the user to further explore the wealth of data provided within WWT. This fully customizable solution includes all of the necessary features required to reproduce a lecture in a more creative and appealing format then some of the standard, typically non-interactive, movies and podcasts currently found online. Through the creation of effective WorldWide Telescope tours, astronomers and educators can better extend astronomy content to astronomy-interested, but not yet engaged, members of the new media community. These tours will provide a better understanding and appreciation for what our universe has to offer. Through this new media approach of integrating WorldWide Telescope with blogs and podcasts, users can now extend their interest in astronomy by exploring the universe themselves, moving beyond provided content to gain a better understanding all on their own.

ExpressionDB: An open source platform for distributing genome-scale datasets.

PubMed

Hughes, Laura D; Lewis, Scott A; Hughes, Michael E

2017-01-01

RNA-sequencing (RNA-seq) and microarrays are methods for measuring gene expression across the entire transcriptome. Recent advances have made these techniques practical and affordable for essentially any laboratory with experience in molecular biology. A variety of computational methods have been developed to decrease the amount of bioinformatics expertise necessary to analyze these data. Nevertheless, many barriers persist which discourage new labs from using functional genomics approaches. Since high-quality gene expression studies have enduring value as resources to the entire research community, it is of particular importance that small labs have the capacity to share their analyzed datasets with the research community. Here we introduce ExpressionDB, an open source platform for visualizing RNA-seq and microarray data accommodating virtually any number of different samples. ExpressionDB is based on Shiny, a customizable web application which allows data sharing locally and online with customizable code written in R. ExpressionDB allows intuitive searches based on gene symbols, descriptions, or gene ontology terms, and it includes tools for dynamically filtering results based on expression level, fold change, and false-discovery rates. Built-in visualization tools include heatmaps, volcano plots, and principal component analysis, ensuring streamlined and consistent visualization to all users. All of the scripts for building an ExpressionDB with user-supplied data are freely available on GitHub, and the Creative Commons license allows fully open customization by end-users. We estimate that a demo database can be created in under one hour with minimal programming experience, and that a new database with user-supplied expression data can be completed and online in less than one day.

An end user evaluation of query formulation and results review tools in three medical meta-search engines.

PubMed

Leroy, Gondy; Xu, Jennifer; Chung, Wingyan; Eggers, Shauna; Chen, Hsinchun

2007-01-01

Retrieving sufficient relevant information online is difficult for many people because they use too few keywords to search and search engines do not provide many support tools. To further complicate the search, users often ignore support tools when available. Our goal is to evaluate in a realistic setting when users use support tools and how they perceive these tools. We compared three medical search engines with support tools that require more or less effort from users to form a query and evaluate results. We carried out an end user study with 23 users who were asked to find information, i.e., subtopics and supporting abstracts, for a given theme. We used a balanced within-subjects design and report on the effectiveness, efficiency and usability of the support tools from the end user perspective. We found significant differences in efficiency but did not find significant differences in effectiveness between the three search engines. Dynamic user support tools requiring less effort led to higher efficiency. Fewer searches were needed and more documents were found per search when both query reformulation and result review tools dynamically adjust to the user query. The query reformulation tool that provided a long list of keywords, dynamically adjusted to the user query, was used most often and led to more subtopics. As hypothesized, the dynamic result review tools were used more often and led to more subtopics than static ones. These results were corroborated by the usability questionnaires, which showed that support tools that dynamically optimize output were preferred.

User Satisfaction and Service Transactions for a Reference Department in an Illinois Community College Learning Resources Center.

ERIC Educational Resources Information Center

Cornish, Nancy M.

Users of the reference library at Blackhawk Community College (Illinois) were surveyed to determine user satisfaction and the total number of transactions. The survey's objective was to pinpoint problem areas, supply objective information, develop guidelines and standards, and support needed improvements or the continued maintenance of good…

Users' Continuance Intention of Virtual Learning Community Services: The Moderating Role of Usage Experience

ERIC Educational Resources Information Center

Zhang, Min; Liu, Yupei; Yan, Weiwei; Zhang, Yan

2017-01-01

Users' continuance intention plays a significant role in the process of information system (IS) service, especially virtual learning community (VLC) services. Following the IS success model and IS post-acceptance model, this study explores the determinants of users' intention to continue using VLCs' service from the perspective of quality,…

Satellites for What? Creating User Communities for Space-based Data in France: The Case from LERTS to CESBIO.

PubMed

Cirac-Claveras, Gemma

2018-01-01

This article uses a French case to explore the who, how, and why of satellite remote-sensing development and its transition towards routine utilization in the domain of ecosystems ecology. It discusses the evolution of a community of technology developers promoting remote-sensing capabilities (mostly sponsored by the French space agency). They attempted to legitimate quality scientific practices, establish the authority of satellite remote-sensing data within academic institutions, and build a community of technology users. This article, hence, is intended to contribute to historical interest in how a community of users is constructed for a technological system.

Life span in online communities.

PubMed

Grabowski, A; Kosiński, R A

2010-12-01

Recently online communities have attracted great interest and have become an important medium of information exchange between users. The aim of this work is to introduce a simple model of the evolution of online communities. This model describes (a) the time evolution of users' activity in a web service, e.g., the time evolution of the number of online friends or written posts, (b) the time evolution of the degree distribution of a social network, and (c) the time evolution of the number of active users of a web service. In the second part of the paper we investigate the influence of the users' lifespan (i.e., the total time in which they are active in an online community) on the process of rumor propagation in evolving social networks. Viral marketing is an important application of such method of information propagation.

GeoChronos: An On-line Collaborative Platform for Earth Observation Scientists

NASA Astrophysics Data System (ADS)

Gamon, J. A.; Kiddle, C.; Curry, R.; Markatchev, N.; Zonta-Pastorello, G., Jr.; Rivard, B.; Sanchez-Azofeifa, G. A.; Simmonds, R.; Tan, T.

2009-12-01

Recent advances in cyberinfrastructure are offering new solutions to the growing challenges of managing and sharing large data volumes. Web 2.0 and social networking technologies, provide the means for scientists to collaborate and share information more effectively. Cloud computing technologies can provide scientists with transparent and on-demand access to applications served over the Internet in a dynamic and scalable manner. Semantic Web technologies allow for data to be linked together in a manner understandable by machines, enabling greater automation. Combining all of these technologies together can enable the creation of very powerful platforms. GeoChronos (http://geochronos.org/), part of a CANARIE Network Enabled Platforms project, is an online collaborative platform that incorporates these technologies to enable members of the earth observation science community to share data and scientific applications and to collaborate more effectively. The GeoChronos portal is built on an open source social networking platform called Elgg. Elgg provides a full set of social networking functionalities similar to Facebook including blogs, tags, media/document sharing, wikis, friends/contacts, groups, discussions, message boards, calendars, status, activity feeds and more. An underlying cloud computing infrastructure enables scientists to access dynamically provisioned applications via the portal for visualizing and analyzing data. Users are able to access and run the applications from any computer that has a Web browser and Internet connectivity and do not need to manage and maintain the applications themselves. Semantic Web Technologies, such as the Resource Description Framework (RDF) are being employed for relating and linking together spectral, satellite, meteorological and other data. Social networking functionality plays an integral part in facilitating the sharing of data and applications. Examples of recent GeoChronos users during the early testing phase have included the IAI International Wireless Sensor Networking Summer School at the University of Alberta, and the IAI Tropi-Dry community. Current GeoChronos activities include the development of a web-based spectral library and related analytical and visualization tools, in collaboration with members of the SpecNet community. The GeoChronos portal will be open to all members of the earth observation science community when the project nears completion at the end of 2010.

Exploring engagement in a virtual community of practice in pediatric rehabilitation: who are non-users, lurkers, and posters?

PubMed

Hurtubise, Karen; Pratte, Gabrielle; Rivard, Lisa; Berbari, Jade; Héguy, Léa; Camden, Chantal

2017-12-20

Communities of practice are increasingly recognized in rehabilitation as useful knowledge transfer tools; however, little is known about their users. This exploratory study describes the characteristics of participants and non-participants invited to engage in a pediatric rehabilitation virtual community of practice. In addition, we explored virtual community of practice utilization behaviors, engagement predictors, and the impact of strategies designed to foster engagement. Participants' demographics including information-seeking style and organization e-readiness, as well as online platform frequency of use data were collected and analyzed using descriptive, comparative, and predictive statistics. Seventy-four percent of those invited used the virtual community of practice. Users had less years of experience in pediatric rehabilitation than non-users. Among the users, 71% were classified as "lurkers," who engaged through reading content only; while 29% were classified as "posters," editing online content. Predictive factors were not uncovered, however an increased number of forum visits correlated with being a poster, a non-information seeker, an employee of an organization demonstrating e-readiness, and regularly working with children with the virtual community of practice specific condition. User-engagement strategies increased visits to the forum. These findings will assist rehabilitation leaders in leveraging rehabilitation-specific virtual community of practice to improve knowledge transfer and practice in pediatric rehabilitation and disability management. Implications for Rehabilitation Communities of practice are increasingly recognized as useful knowledge transfer tools for rehabilitation professionals and are made more accessible thanks to virtual technologies. Our virtual community of practice was found to be optimized in health care organizations with an electronic culture, when the topic area had daily relevance to its target audience, and was particularly beneficial for those who have limited years of experience in pediatric rehabilitation. A strongly committed, selected leadership team with the technological skills, content expertise, and designated time to maintain the site and to nurture discussion was deemed vital in fostering knowledge exchange in this context. User-focused engagement strategies showed promise in increasing visits to the virtual community of practice. Our study supports the importance of multi-pronged approaches in enhancing health care professional knowledge and skills Findings from this study will assist rehabilitation leaders in optimally leveraging rehabilitation-specific virtual community of practice to improve knowledge transfer in pediatric rehabilitation and disability management.

Unidata's Vision for Providing Comprehensive and End-to-end Data Services

NASA Astrophysics Data System (ADS)

Ramamurthy, M. K.

2009-05-01

This paper presents Unidata's vision for providing comprehensive, well-integrated, and end-to-end data services for the geosciences. These include an array of functions for collecting, finding, and accessing data; data management tools for generating, cataloging, and exchanging metadata; and submitting or publishing, sharing, analyzing, visualizing, and integrating data. When this vision is realized, users no matter where they are or how they are connected to the Internetwill be able to find and access a plethora of geosciences data and use Unidata-provided tools and services both productively and creatively in their research and education. What that vision means for the Unidata community is elucidated by drawing a simple analogy. Most of users are familiar with Amazon and eBay e-commerce sites and content sharing sites like YouTube and Flickr. On the eBay marketplace, people can sell practically anything at any time and buyers can share their experience of purchasing a product or the reputation of a seller. Likewise, at Amazon, thousands of merchants sell their goods and millions of customers not only buy those goods, but provide a review or opinion of the products they buy and share their experiences as purchasers. Similarly, YouTube and Flickr are sites tailored to video- and photo-sharing, respectively, where users can upload their own content and share it with millions of other users, including family and friends. What all these sites, together with social-networking applications like MySpace and Facebook, have enabled is a sense of a virtual community in which users can search and browse products or content, comment and rate those products from anywhere, at any time, and via any Internet- enabled device like an iPhone, laptop, or a desktop computer. In essence, these enterprises have fundamentally altered people's buying modes and behavior toward purchases. Unidata believes that similar approaches, appropriately tailored to meet the needs of the scientific community, can be adopted to provide and share geosciences data and actively collaborate in the future. For example, future case-study data access systems, in addition to providing datasets and tools, will provide services that allow users to provide commentaries on a weather event, say a hurricane, as well as provide feedback on the quality, usefulness, and interpretation of the datasets through integrated blogs, forums, and Wikis, along with uploading and sharing products they derive, ancillary materials that users might have gathered (such as photos and videos from the storm), and publications and curricular materials they develop, all through a single data portal. In essence, such case study collections will be "living" or dynamic, allowing users to be also contributors as they add value to and grow existing case study collections.

Online extremism and the communities that sustain it: Detecting the ISIS supporting community on Twitter.

PubMed

Benigni, Matthew C; Joseph, Kenneth; Carley, Kathleen M

2017-01-01

The Islamic State of Iraq and ash-Sham (ISIS) continues to use social media as an essential element of its campaign to motivate support. On Twitter, ISIS' unique ability to leverage unaffiliated sympathizers that simply retweet propaganda has been identified as a primary mechanism in their success in motivating both recruitment and "lone wolf" attacks. The present work explores a large community of Twitter users whose activity supports ISIS propaganda diffusion in varying degrees. Within this ISIS supporting community, we observe a diverse range of actor types, including fighters, propagandists, recruiters, religious scholars, and unaffiliated sympathizers. The interaction between these users offers unique insight into the people and narratives critical to ISIS' sustainment. In their entirety, we refer to this diverse set of users as an online extremist community or OEC. We present Iterative Vertex Clustering and Classification (IVCC), a scalable analytic approach for OEC detection in annotated heterogeneous networks, and provide an illustrative case study of an online community of over 22,000 Twitter users whose online behavior directly advocates support for ISIS or contibutes to the group's propaganda dissemination through retweets.

3D Flow visualization in virtual reality

NASA Astrophysics Data System (ADS)

Pietraszewski, Noah; Dhillon, Ranbir; Green, Melissa

2017-11-01

By viewing fluid dynamic isosurfaces in virtual reality (VR), many of the issues associated with the rendering of three-dimensional objects on a two-dimensional screen can be addressed. In addition, viewing a variety of unsteady 3D data sets in VR opens up novel opportunities for education and community outreach. In this work, the vortex wake of a bio-inspired pitching panel was visualized using a three-dimensional structural model of Q-criterion isosurfaces rendered in virtual reality using the HTC Vive. Utilizing the Unity cross-platform gaming engine, a program was developed to allow the user to control and change this model's position and orientation in three-dimensional space. In addition to controlling the model's position and orientation, the user can ``scroll'' forward and backward in time to analyze the formation and shedding of vortices in the wake. Finally, the user can toggle between different quantities, while keeping the time step constant, to analyze flow parameter relationships at specific times during flow development. The information, data, or work presented herein was funded in part by an award from NYS Department of Economic Development (DED) through the Syracuse Center of Excellence.

Desire to Be Underweight: Exploratory Study on a Weight Loss App Community and User Perceptions of the Impact on Disordered Eating Behaviors

PubMed Central

Reddy, Madhu C; Booth, Kayla M; Kvasny, Lynette; Blair, Johnna L; Li, Victor; Poole, Erika S

2017-01-01

Background Mobile health (mHealth) apps for weight loss (weight loss apps) can be useful diet and exercise tools for individuals in need of losing weight. Most studies view weight loss app users as these types of individuals, but not all users have the same needs. In fact, users with disordered eating behaviors who desire to be underweight are also utilizing weight loss apps; however, few studies give a sense of the prevalence of these users in weight loss app communities and their perceptions of weight loss apps in relation to disordered eating behaviors. Objective The aim of this study was to provide an analysis of users’ body mass indices (BMIs) in a weight loss app community and examples of how users with underweight BMI goals perceive the impact of the app on disordered eating behaviors. Methods We focused on two aspects of a weight loss app (DropPounds): profile data and forum posts, and we moved from a broader picture of the community to a narrower focus on users’ perceptions. We analyzed profile data to better understand the goal BMIs of all users, highlighting the prevalence of users with underweight BMI goals. Then we explored how users with a desire to be underweight discussed the weight loss app’s impact on disordered eating behaviors. Results We found three main results: (1) no user (regardless of start BMI) starts with a weight gain goal, and most users want to lose weight; (2) 6.78% (1261/18,601) of the community want to be underweight, and most identify as female; (3) users with underweight BMI goals tend to view the app as positive, especially for reducing bingeing; however, some acknowledge its role in exacerbating disordered eating behaviors. Conclusions These findings are important for our understanding of the different types of users who utilize weight loss apps, the perceptions of weight loss apps related to disordered eating, and how weight loss apps may impact users with a desire to be underweight. Whereas these users had underweight goals, they often view the app as helpful in reducing disordered eating behaviors, which led to additional questions. Therefore, future research is needed. PMID:29025694

WFIRST: User and mission support at ISOC - IPAC Science Operations Center

NASA Astrophysics Data System (ADS)

Akeson, Rachel; Armus, Lee; Bennett, Lee; Colbert, James; Helou, George; Kirkpatrick, J. Davy; Laine, Seppo; Meshkat, Tiffany; Paladini, Roberta; Ramirez, Solange; Wang, Yun; Xie, Joan; Yan, Lin

2018-01-01

The science center for WFIRST is distributed between the Goddard Space Flight Center, the Infrared Processing and Analysis Center (IPAC) and the Space Telescope Science Institute (STScI). The main functions of the IPAC Science Operations Center (ISOC) are:* Conduct the GO, archival and theory proposal submission and evaluation process* Support the coronagraph instrument, including observation planning, calibration and data processing pipeline, generation of data products, and user support* Microlensing survey data processing pipeline, generation of data products, and user support* Community engagement including conferences, workshops and general support of the WFIRST exoplanet communityWe will describe the components planned to support these functions and the community of WFIRST users.

Supporting Shared Resource Usage for a Diverse User Community: the OSG Experience and Lessons Learned

NASA Astrophysics Data System (ADS)

Garzoglio, Gabriele; Levshina, Tanya; Rynge, Mats; Sehgal, Chander; Slyz, Marko

2012-12-01

The Open Science Grid (OSG) supports a diverse community of new and existing users in adopting and making effective use of the Distributed High Throughput Computing (DHTC) model. The LHC user community has deep local support within the experiments. For other smaller communities and individual users the OSG provides consulting and technical services through the User Support area. We describe these sometimes successful and sometimes not so successful experiences and analyze lessons learned that are helping us improve our services. The services offered include forums to enable shared learning and mutual support, tutorials and documentation for new technology, and troubleshooting of problematic or systemic failure modes. For new communities and users, we bootstrap their use of the distributed high throughput computing technologies and resources available on the OSG by following a phased approach. We first adapt the application and run a small production campaign on a subset of “friendly” sites. Only then do we move the user to run full production campaigns across the many remote sites on the OSG, adding to the community resources up to hundreds of thousands of CPU hours per day. This scaling up generates new challenges - like no determinism in the time to job completion, and diverse errors due to the heterogeneity of the configurations and environments - so some attention is needed to get good results. We cover recent experiences with image simulation for the Large Synoptic Survey Telescope (LSST), small-file large volume data movement for the Dark Energy Survey (DES), civil engineering simulation with the Network for Earthquake Engineering Simulation (NEES), and accelerator modeling with the Electron Ion Collider group at BNL. We will categorize and analyze the use cases and describe how our processes are evolving based on lessons learned.

Adherence with physical activity monitoring wearable devices in a community-based population: observations from the Washington, D.C., Cardiovascular Health and Needs Assessment.

PubMed

Yingling, Leah R; Mitchell, Valerie; Ayers, Colby R; Peters-Lawrence, Marlene; Wallen, Gwenyth R; Brooks, Alyssa T; Troendle, James F; Adu-Brimpong, Joel; Thomas, Samantha; Henry, JaWanna; Saygbe, Johnetta N; Sampson, Dana M; Johnson, Allan A; Graham, Avis P; Graham, Lennox A; Wiley, Kenneth L; Powell-Wiley, Tiffany

2017-12-01

Wearable mobile health (mHealth) technologies offer approaches for targeting physical activity (PA) in resource-limited, community-based interventions. We sought to explore user characteristics of PA tracking, wearable technology among a community-based population within a health and needs assessment. In 2014-2015, we conducted the Washington, D.C., Cardiovascular Health and Needs Assessment in predominantly African-American churches among communities with higher obesity rates and lower household incomes. Participants received a mHealth PA monitor and wirelessly uploaded PA data weekly to church data collection hubs. Participants (n = 99) were 59 ± 12 years, 79% female, and 99% African-American, with a mean body mass index of 33 ± 7 kg/m 2 . Eighty-one percent of participants uploaded PA data to the hub and were termed "PA device users." Though PA device users were more likely to report lower household incomes, no differences existed between device users and non-users for device ownership or technology fluency. Findings suggest that mHealth systems with a wearable device and data collection hub may feasibly target PA in resource-limited communities.

Conceptual design for the Space Station Freedom fluid physics/dynamics facility

NASA Technical Reports Server (NTRS)

Thompson, Robert L.; Chucksa, Ronald J.; Omalley, Terence F.; Oeftering, Richard C.

1993-01-01

A study team at NASA's Lewis Research Center has been working on a definition study and conceptual design for a fluid physics and dynamics science facility that will be located in the Space Station Freedom's baseline U.S. Laboratory module. This modular, user-friendly facility, called the Fluid Physics/Dynamics Facility, will be available for use by industry, academic, and government research communities in the late 1990's. The Facility will support research experiments dealing with the study of fluid physics and dynamics phenomena. Because of the lack of gravity-induced convection, research into the mechanisms of fluids in the absence of gravity will help to provide a better understanding of the fundamentals of fluid processes. This document has been prepared as a final version of the handout for reviewers at the Fluid Physics/Dynamics Facility Assessment Workshop held at Lewis on January 24 and 25, 1990. It covers the background, current status, and future activities of the Lewis Project Study Team effort. It is a revised and updated version of a document entitled 'Status Report on the Conceptual Design for the Space Station Fluid Physics/Dynamics Facility', dated January 1990.

SOCIAL PSYCHOLOGICAL DYNAMICS OF ENHANCED HIV RISK REDUCTION AMONG PEER INTERVENTIONISTS

PubMed Central

Dickson-Gomez, Julia; Weeks, Margaret R.; Convey, Mark; Li, Jianghong

2014-01-01

The authors present a model of interactive social psychological and relational feedback processes leading to human immunodeficiency virus (HIV) risk reduction behavior change among active drug users trained as Peer Health Advocates (PHAs). The model is supported by data from qualitative interviews with PHAs and members of their drug-using networks in the Risk Avoidance Partnership (RAP) project. Results suggest three mutually reinforcing social psychological processes that motivate PHAs to provide HIV prevention intervention to their peers and to reduce their own risk behaviors: development of a prosocial identity, positive social reinforcement from drug users and community members, and cognitive dissonance associated with continued risk behavior while engaging in health advocacy. These processes directly influence peer interventionists’ motivation and efficacy to continue giving intervention to their peers, and to reduce their HIV risk behaviors. The authors discuss implications of the model for continued research on effective HIV prevention in high-risk groups. PMID:25414528

BAID: The Barrow Area Information Database - an Interactive Web Mapping Portal and Cyberinfrastructure for Science and Land Management in the Vicinity of Barrow on the North Slope of Alaska.

NASA Astrophysics Data System (ADS)

Escarzaga, S. M.; Cody, R. P.; Gaylord, A. G.; Kassin, A.; Barba, M.; Aiken, Q.; Nelson, L.; Mazza Ramsay, F. D.; Tweedie, C. E.

2016-12-01

The Barrow area of northern Alaska is one of the most intensely researched locations in the Arctic and the Barrow Area Information Database (BAID, www.barrowmapped.org) tracks and facilitates a gamut of research, management, and educational activities in the area. BAID is a cyberinfrastructure (CI) that details much of the historic and extant research undertaken within in the Barrow region in a suite of interactive web-based mapping and information portals (geobrowsers). The BAID user community and target audience for BAID is diverse and includes research scientists, science logisticians, land managers, educators, students, and the general public. BAID contains information on more than 16,000 Barrow area research sites that extend back to the 1940's and more than 640 remote sensing images and geospatial datasets. In a web-based setting, users can zoom, pan, query, measure distance, save or print maps and query results, and filter or view information by space, time, and/or other tags. Recent advances include provision of differential global positioning (dGPS) system and high resolution aerial imagery support to visiting scientists, analysis and multitemporal mapping of over 120 km of coastline for erosion monitoring; maintenance of a wireless micrometeorological sensor network; links to Barrow area datasets housed at national data archives; and substantial upgrades to the BAID website. Web mapping applications that have launched to the public include: an Imagery Time Viewer that allows users to compare imagery of the Barrow area between 1949 and the present; a Coastal Erosion Viewer that allows users to view long-term (1955-2015) and recent (2013-2015) rates of erosion for the Barrow area; and a Community Planning Tool that allows users to view and print dynamic reports based on an array of basemaps including a new 0.5m resolution wetlands map designed to enhance decision making for development and land management.

An integrated approach to modeling resource utilization for rural communities in developing countries.

PubMed

Hartter, Joel; Boston, Kevin

2007-10-01

Resource consumption in developing countries has been the focus of a considerable amount of research. What has been understudied however, has been the feedback affects of resource consumption on resource availability to both households and communities. Heavy reliance on natural resources and intensive smallholder agriculture common to many rural communities in developing countries has forced people to fulfill short-term needs to the detriment of long-term ecological and livelihood sustainability. This paper introduces a conceptual framework to examine how individuals and households fulfill daily caloric needs and the aggregate effects on resource availability and consumption. Data were collected from a large number of published case studies of rural land-use dynamics, growth and yield models, and human livelihoods were reviewed from scientific journals, reports published by NGOs, and government reports. Using inputs defined by the user, the model tracks annual fuelwood and agricultural land use based on meeting individual energy demands. A case-study-based analysis was patterned after smallholder agriculturalists at the family and community level. Three scenarios are presented in this paper using data from Uganda to illustrate the application of this model.

The Gemini Science User Support Department: A community-centered approach to user support

NASA Astrophysics Data System (ADS)

Chené, André-Nicolas; Thomas-Osip, Joanna

2016-01-01

The Gemini Science User Support Department (SUSD) was formed a little more than a year ago to create a collaborative community of users and staff and to consolidate existing post-observing support throughout the observatory for more efficient use of resources as well as better visibility amongst our user community. This poster is an opportunity to exchange ideas about how Gemini can improve your experience while working with the Observatory and present details about new avenues of post-observing support coming soon. We encourage your feedback at any time.Shortly after its creation, the SUSD conducted a complete revision of the communication cycle between Gemini and its community of researchers. The cycle was then revisited from the perspective of an astronomer interested in using Gemini for their research. This exercise led to a series of proposed changes that are currently under development, and the implementation of a sub-selection is expected in 2016, including the following. (1) Email notifications: Gemini users will receive new forms of email communications that are more instructive and tailored to their program. The objective is to direct the users more efficiently toward the useful links and documentation all along the lifecycle of the program, from phaseII to after the data are completely reduced. (2) HelpDesk system: The HelpDesk will become more user-friendly and transparent. (3) Webpages: The organization of the Gemini webpages will be redesigned to optimize navigation; especially for anything regarding more critical periods likes phaseIs and phaseIIs. (4) Data Reduction User Forum: Following recommendations from Gemini users, new capabilities were added to the forum, like email notifications, and a voting system, in order to make it more practical. This forum's objective is to bring the Gemini community together to exchange their ideas, thoughts, questions and solutions about data reduction, a sort of Reddit, StackOverflow or Slashdot for Gemini data.

ADAM: Analysis of Discrete Models of Biological Systems Using Computer Algebra

PubMed Central

2011-01-01

Background Many biological systems are modeled qualitatively with discrete models, such as probabilistic Boolean networks, logical models, Petri nets, and agent-based models, to gain a better understanding of them. The computational complexity to analyze the complete dynamics of these models grows exponentially in the number of variables, which impedes working with complex models. There exist software tools to analyze discrete models, but they either lack the algorithmic functionality to analyze complex models deterministically or they are inaccessible to many users as they require understanding the underlying algorithm and implementation, do not have a graphical user interface, or are hard to install. Efficient analysis methods that are accessible to modelers and easy to use are needed. Results We propose a method for efficiently identifying attractors and introduce the web-based tool Analysis of Dynamic Algebraic Models (ADAM), which provides this and other analysis methods for discrete models. ADAM converts several discrete model types automatically into polynomial dynamical systems and analyzes their dynamics using tools from computer algebra. Specifically, we propose a method to identify attractors of a discrete model that is equivalent to solving a system of polynomial equations, a long-studied problem in computer algebra. Based on extensive experimentation with both discrete models arising in systems biology and randomly generated networks, we found that the algebraic algorithms presented in this manuscript are fast for systems with the structure maintained by most biological systems, namely sparseness and robustness. For a large set of published complex discrete models, ADAM identified the attractors in less than one second. Conclusions Discrete modeling techniques are a useful tool for analyzing complex biological systems and there is a need in the biological community for accessible efficient analysis tools. ADAM provides analysis methods based on mathematical algorithms as a web-based tool for several different input formats, and it makes analysis of complex models accessible to a larger community, as it is platform independent as a web-service and does not require understanding of the underlying mathematics. PMID:21774817

Factors Associated With Weight Change in Online Weight Management Communities: A Case Study in the LoseIt Reddit Community

PubMed Central

Ribeiro, Antonio; Couto Silva, Ana Paula; Meira Jr, Wagner

2017-01-01

Background Recent research has shown that of the 72% of American Internet users who have looked for health information online, 22% have searched for help to lose or control weight. This demand for information has given rise to many online weight management communities, where users support one another throughout their weight loss process. Whether and how user engagement in online communities relates to weight change is not totally understood. Objective We investigated the activity behavior and analyze the semantic content of the messages of active users in LoseIt (r/loseit), a weight management community of the online social network Reddit. We then explored whether these features are associated with weight loss in this online social network. Methods A data collection tool was used to collect English posts, comments, and other public metadata of active users (ie, users with at least one post or comment) on LoseIt from August 2010 to November 2014. Analyses of frequency and intensity of user interaction in the community were performed together with a semantic analysis of the messages, done by a latent Dirichlet allocation method. The association between weight loss and online user activity patterns, the semantics of the messages, and real-world variables was found by a linear regression model using 30-day weight change as the dependent variable. Results We collected posts and comments of 107,886 unique users. Among these, 101,003 (93.62%) wrote at least one comment and 38,981 (36.13%) wrote at least one post. Median percentage of days online was 3.81 (IQR 9.51). The 10 most-discussed semantic topics on posts were related to healthy food, clothing, calorie counting, workouts, looks, habits, support, and unhealthy food. In the subset of 754 users who had gender, age, and 30-day weight change data available, women were predominant and 92.9% (701/754) lost weight. Female gender, body mass index (BMI) at baseline, high levels of online activity, the number of upvotes received per post, and topics discussed within the community were independently associated with weight change. Conclusions Our findings suggest that among active users of a weight management community, self-declaration of higher BMI levels (which may represent greater dissatisfaction with excess weight), high online activity, and engagement in discussions that might provide social support are associated with greater weight loss. These findings have the potential to aid health professionals to assist patients in online interventions by focusing efforts on increasing engagement and/or starting discussions on topics of higher impact on weight change. PMID:28093378

Vaccination in the county jail as a strategy to reach high risk adults during a community-based hepatitis A outbreak among methamphetamine drug users.

PubMed

Vong, Sirenda; Fiore, Anthony E; Haight, Daniel O; Li, Jinfeng; Borgsmiller, Nancy; Kuhnert, Wendi; Pinero, Frances; Boaz, Kathy; Badsgard, Tracy; Mancini, Carmela; Nainan, Omana V; Wiersma, Steven; Bell, Beth P

2005-01-11

Illicit drug use (IDU) is an important risk factor for hepatitis A, but implementing vaccination programs among drug users is difficult. During January 2001-July 2002, 403 hepatitis A cases were reported in Polk County, Florida; 48% were drug users and of these, 80% were recently in jail. To assess the county jail as a potential vaccination venue, we interviewed 280 inmates and conducted a serologic survey during July--August 2002. Of these, 227 (81%) reported a past IDU history. Previous HAV infection was found in 33%. In communities with illicit drug users at risk for hepatitis A and who are frequently jailed, vaccination programs in jails could be an important component of a community-based strategy to control hepatitis A outbreaks among illicit drug users.

Methamphetamine Users in a Community-Based Drug Court: Does Gender Matter?

ERIC Educational Resources Information Center

Hartman, Jennifer L.; Listwan, Shelley Johnson; Shaffer, Deborah Koetzle

2007-01-01

This paper examines men and women methamphetamine (meth) users who participated in a community-based drug court. The treatment of female drug users is a particularly salient issue because of the concerns with relapse and recidivism. For the current study, we studied the impact of the drug court by gender on a group of high-risk/high-need meth…

Guidelines for NASA Missions to Engage the User Community as a Part of the Mission Life Cycle

NASA Astrophysics Data System (ADS)

Escobar, V. M.; Friedl, L.; Bonniksen, C. K.

2017-12-01

NASA continues to improve the Earth Science Directorate in the areas of thematic integration, stakeholder feedback and Project Applications Program tailoring for missions to transfer knowledge between scientists and projects. The integration of application themes and the implementation of application science activities in flight projects have evolved to formally include user feedback and stakeholder integration. NASA's new Flight Applied Science Program Guidelines are designed to bridge NASA Earth Science Directorates in Flight, Applied Sciences and Research and Development by agreeing to integrate the user community into mission life cycles. Thus science development and science applications will guide all new instruments launched by NASAs ESD. The continued integration with the user community has enabled socio-economic considerations into NASA Earth Science projects to advance significantly. Making users a natural part of mission science leverages future socio-economic impact research and provides a platform for innovative and more actionable product to be used in decision support systems by society. This presentation will give an overview of the new NASA Guidelines and provide samples that demonstrate how the user community can be a part of NASA mission designs.

Effects of a recovery management intervention on Chinese heroin users' community recovery through the mediation effect of enhanced service utilization

PubMed Central

Wu, F.; Fu, L.M.; Hser, Y.H.

2015-01-01

Background This study investigates whether a recovery management intervention (RMI) can improve the utilization of community drug treatment and wraparound services among heroin users in China and subsequently lead to positive recovery outcomes. Methods Secondary analysis was conducted drawing data from a randomized controlled trial; 100 heroin users with no severe mental health problems were recruited in two Shanghai districts (Hongkou and Yangpu) upon their release from compulsory rehabilitation facilities. A latent variable modeling approach was utilized to test whether the RMI influences heroin users' perceived motivation and readiness for treatment, enhances treatment and wraparound service participation, and, in turn, predicts better recovery outcomes. Results Enrollment in drug treatment and other social service utilization increased significantly as a result of RMI rather than an individual drug user's motivation and readiness for treatment. Increased service utilization thus led to more positive individual recovery outcomes. In addition to this mediation effect through service utilization, the RMI also improved participants' community recovery directly. Conclusions Findings suggest that better drug treatment enrollment, community service utilization and recovery outcomes can be potentially achieved among heroin users in China with carefully designed case management interventions. PMID:24990956

Supporting community annotation and user collaboration in the integrated microbial genomes (IMG) system.

PubMed

Chen, I-Min A; Markowitz, Victor M; Palaniappan, Krishna; Szeto, Ernest; Chu, Ken; Huang, Jinghua; Ratner, Anna; Pillay, Manoj; Hadjithomas, Michalis; Huntemann, Marcel; Mikhailova, Natalia; Ovchinnikova, Galina; Ivanova, Natalia N; Kyrpides, Nikos C

2016-04-26

The exponential growth of genomic data from next generation technologies renders traditional manual expert curation effort unsustainable. Many genomic systems have included community annotation tools to address the problem. Most of these systems adopted a "Wiki-based" approach to take advantage of existing wiki technologies, but encountered obstacles in issues such as usability, authorship recognition, information reliability and incentive for community participation. Here, we present a different approach, relying on tightly integrated method rather than "Wiki-based" method, to support community annotation and user collaboration in the Integrated Microbial Genomes (IMG) system. The IMG approach allows users to use existing IMG data warehouse and analysis tools to add gene, pathway and biosynthetic cluster annotations, to analyze/reorganize contigs, genes and functions using workspace datasets, and to share private user annotations and workspace datasets with collaborators. We show that the annotation effort using IMG can be part of the research process to overcome the user incentive and authorship recognition problems thus fostering collaboration among domain experts. The usability and reliability issues are addressed by the integration of curated information and analysis tools in IMG, together with DOE Joint Genome Institute (JGI) expert review. By incorporating annotation operations into IMG, we provide an integrated environment for users to perform deeper and extended data analysis and annotation in a single system that can lead to publications and community knowledge sharing as shown in the case studies.

Dissemination and support of ARGUS for accelerator applications. Technical progress report, April 24, 1991--January 20, 1992

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

The ARGUS code is a three-dimensional code system for simulating for interactions between charged particles, electric and magnetic fields, and complex structure. It is a system of modules that share common utilities for grid and structure input, data handling, memory management, diagnostics, and other specialized functions. The code includes the fields due to the space charge and current density of the particles to achieve a self-consistent treatment of the particle dynamics. The physic modules in ARGUS include three-dimensional field solvers for electrostatics and electromagnetics, a three-dimensional electromagnetic frequency-domain module, a full particle-in-cell (PIC) simulation module, and a steady-state PIC model.more » These are described in the Appendix to this report. This project has a primary mission of developing the capabilities of ARGUS in accelerator modeling of release to the accelerator design community. Five major activities are being pursued in parallel during the first year of the project. To improve the code and/or add new modules that provide capabilities needed for accelerator design. To produce a User`s Guide that documents the use of the code for all users. To release the code and the User`s Guide to accelerator laboratories for their own use, and to obtain feed-back from the. To build an interactive user interface for setting up ARGUS calculations. To explore the use of ARGUS on high-power workstation platforms.« less

Heroin shortage in Coastal Kenya: A rapid assessment and qualitative analysis of heroin users' experiences.

PubMed

Mital, Sasha; Miles, Gillian; McLellan-Lemal, Eleanor; Muthui, Mercy; Needle, Richard

2016-04-01

While relatively rare events, abrupt disruptions in heroin availability have a significant impact on morbidity and mortality risk among those who are heroin dependent. A heroin shortage occurred in Coast Province, Kenya from December 2010 to March 2011. This qualitative analysis describes the shortage events and consequences from the perspective of heroin users, along with implications for health and other public sectors. As part of a rapid assessment, 66 key informant interviews and 15 focus groups among heroin users in Coast Province, Kenya were conducted. A qualitative thematic analysis was undertaken in Atlas.ti. to identify salient themes related to the shortage. Overall, participant accounts were rooted in a theme of desperation and uncertainty, with emphasis on six sub-themes: (1) withdrawal and strategies for alleviating withdrawal, including use of medical intervention and other detoxification attempts; (2) challenges of dealing with unpredictable drug availability, cost, and purity; (3) changes in drug use patterns, and actions taken to procure heroin and other drugs; (4) modifications in drug user relationship dynamics and networks, including introduction of risky group-level injection practices; (5) family and community response; and (6) new challenges with the heroin market resurgence. The heroin shortage led to a series of consequences for drug users, including increased risk of morbidity, mortality and disenfranchisement at social and structural levels. Availability of evidence-based services for drug users and emergency preparedness plans could have mitigated this impact. Published by Elsevier B.V.

Discovery of Information Diffusion Process in Social Networks

NASA Astrophysics Data System (ADS)

Kim, Kwanho; Jung, Jae-Yoon; Park, Jonghun

Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.

Open Source and Design Thinking at NASA: A Vision for Future Software

NASA Technical Reports Server (NTRS)

Trimble, Jay

2017-01-01

NASA Mission Control Software for the Visualization of data has historically been closed, accessible only to small groups of flight controllers, often bound to a specific mission discipline such as flight dynamics, health and status or mission planning. Open Mission Control Technologies (MCT) provides new capability for NASA mission controllers and, by being fully open source, opens up NASA software for the visualization of mission data to broader communities inside and outside of NASA. Open MCT is the product of a design thinking process within NASA, using participatory design and design sprints to build a product that serves users.

Knowledge Evolution in Distributed Geoscience Datasets and the Role of Semantic Technologies

NASA Astrophysics Data System (ADS)

Ma, X.

2014-12-01

Knowledge evolves in geoscience, and the evolution is reflected in datasets. In a context with distributed data sources, the evolution of knowledge may cause considerable challenges to data management and re-use. For example, a short news published in 2009 (Mascarelli, 2009) revealed the geoscience community's concern that the International Commission on Stratigraphy's change to the definition of Quaternary may bring heavy reworking of geologic maps. Now we are in the era of the World Wide Web, and geoscience knowledge is increasingly modeled and encoded in the form of ontologies and vocabularies by using semantic technologies. Accordingly, knowledge evolution leads to a consequence called ontology dynamics. Flouris et al. (2008) summarized 10 topics of general ontology changes/dynamics such as: ontology mapping, morphism, evolution, debugging and versioning, etc. Ontology dynamics makes impacts at several stages of a data life cycle and causes challenges, such as: the request for reworking of the extant data in a data center, semantic mismatch among data sources, differentiated understanding of a same piece of dataset between data providers and data users, as well as error propagation in cross-discipline data discovery and re-use (Ma et al., 2014). This presentation will analyze the best practices in the geoscience community so far and summarize a few recommendations to reduce the negative impacts of ontology dynamics in a data life cycle, including: communities of practice and collaboration on ontology and vocabulary building, link data records to standardized terms, and methods for (semi-)automatic reworking of datasets using semantic technologies. References: Flouris, G., Manakanatas, D., Kondylakis, H., Plexousakis, D., Antoniou, G., 2008. Ontology change: classification and survey. The Knowledge Engineering Review 23 (2), 117-152. Ma, X., Fox, P., Rozell, E., West, P., Zednik, S., 2014. Ontology dynamics in a data life cycle: Challenges and recommendations from a Geoscience Perspective. Journal of Earth Science 25 (2), 407-412. Mascarelli, A.L., 2009. Quaternary geologists win timescale vote. Nature 459, 624.

NASA Earth Science Partnerships - A Multi-Level Approach to Effectively Collaborating with Communities and Organizations to Utilize Earth Science Data for Societal Benefit

NASA Astrophysics Data System (ADS)

Favors, J.

2016-12-01

NASA's Earth Science Division (ESD) seeks to develop a scientific understanding of the Earth as a dynamic, integrated system of diverse components that interact in complex ways - analogous to the human body. The Division approaches this goal through a coordinated series of satellite and airborne missions, sponsored basic and applied research, technology development, and science education. Integral to this approach are strong collaborations and partnerships with a spectrum of organizations that produce substantive benefit to communities - both locally and globally. This presentation will showcase various ways ESD approaches partnering and will highlight best practices, challenges, and provide case studies related to rapid partnerships, co-location of scientists and end-user communities, capacity building, and ESD's new Partnerships Program which is built around taking an innovative approach to partnering that fosters interdisplinary teaming & co-production of knowledge to broaden the applicability of Earth observations and answer new, big questions for partners and NASA, alike.

Motivation for Knowledge Sharing by Expert Participants in Company-Hosted Online User Communities

ERIC Educational Resources Information Center

Cheng, Jingli

2014-01-01

Company-hosted online user communities are increasingly popular as firms continue to search for ways to provide their customers with high quality and reliable support in a low cost and scalable way. Yet, empirical understanding of motivations for knowledge sharing in this type of online communities is lacking, especially with regard to an…

SEDAC information gateway plan V(1)

NASA Technical Reports Server (NTRS)

Chen, Robert S. (Compiler)

1995-01-01

This annual update of the Information Gateway Plan incorporates changes recommended by the Socioeconomic Data and Applications Center (SEDAC) User Working Group (UWG) and reflects comments and suggestions from users, collaborators, and the Contracting Officer Technical Representative (COTR). The Information Gateway Plan is a concise and specific plan that outlines SEDAC activities and services in support of the earth and social sciences and other user communities. The SEDAC Information Gateway effort is a primary means by which the Earth Observing System Data and Information System (EOSDIS) can link meaningfully with a broad range of social science data sources and users in ways that lead to tangible benefits to the American people. The SEDAC Information Gateway provides interdisciplinary access to socioeconomic and physical science data and information resources held by SEDAC and numerous other institutions and networks around the world. The Plan describes the areas of research of earth scientists and socioeconomic scientists where interchange of data and information is most needed. It sets guidelines for the continued development of SEDAC's directory of social science datasets and establishes priorities for efforts to make data held by SEDAC or accessible through SEDAC available to the user community. The Plan also describes the means by which the SEDAC user community can access information products specified by the SEDAC Data and Applications Development Plan (DADP). Among other major activities, SEDAC will continue to enhance and operate a directory capability, interoperable with the Global Change Master Directory, that provides the socioeconomic community with information about earth science products and the earth science research community with information about socioeconomic data. The Information Gateway also serves as a unique and powerful access pathway for a wide range of users and potential users of socioeconomic and earth science data, including especially remote sensing data.

A mixing evolution model for bidirectional microblog user networks

NASA Astrophysics Data System (ADS)

Yuan, Wei-Guo; Liu, Yun

2015-08-01

Microblogs have been widely used as a new form of online social networking. Based on the user profile data collected from Sina Weibo, we find that the number of microblog user bidirectional friends approximately corresponds with the lognormal distribution. We then build two microblog user networks with real bidirectional relationships, both of which have not only small-world and scale-free but also some special properties, such as double power-law degree distribution, disassortative network, hierarchical and rich-club structure. Moreover, by detecting the community structures of the two real networks, we find both of their community scales follow an exponential distribution. Based on the empirical analysis, we present a novel evolution network model with mixed connection rules, including lognormal fitness preferential and random attachment, nearest neighbor interconnected in the same community, and global random associations in different communities. The simulation results show that our model is consistent with real network in many topology features.

The Dynamics of Online User Behavior and IS Policy Implications

ERIC Educational Resources Information Center

Kim, Keehyung

2016-01-01

This dissertation, which comprises three independent essays, explores the dynamics of online user behavior and provides IS policy implications across three different applications. The first essay employs an econometric empirical analysis to examine the role of IT interventions on online users' gambling behavior, based on field data collected over…

WRF4SG: A Scientific Gateway for climate experiment workflows

NASA Astrophysics Data System (ADS)

Blanco, Carlos; Cofino, Antonio S.; Fernandez-Quiruelas, Valvanuz

2013-04-01

The Weather Research and Forecasting model (WRF) is a community-driven and public domain model widely used by the weather and climate communities. As opposite to other application-oriented models, WRF provides a flexible and computationally-efficient framework which allows solving a variety of problems for different time-scales, from weather forecast to climate change projection. Furthermore, WRF is also widely used as a research tool in modeling physics, dynamics, and data assimilation by the research community. Climate experiment workflows based on Weather Research and Forecasting (WRF) are nowadays among the one of the most cutting-edge applications. These workflows are complex due to both large storage and the huge number of simulations executed. In order to manage that, we have developed a scientific gateway (SG) called WRF for Scientific Gateway (WRF4SG) based on WS-PGRADE/gUSE and WRF4G frameworks to ease achieve WRF users needs (see [1] and [2]). WRF4SG provides services for different use cases that describe the different interactions between WRF users and the WRF4SG interface in order to show how to run a climate experiment. As WS-PGRADE/gUSE uses portlets (see [1]) to interact with users, its portlets will support these use cases. A typical experiment to be carried on by a WRF user will consist on a high-resolution regional re-forecast. These re-forecasts are common experiments used as input data form wind power energy and natural hazards (wind and precipitation fields). In the cases below, the user is able to access to different resources such as Grid due to the fact that WRF needs a huge amount of computing resources in order to generate useful simulations: * Resource configuration and user authentication: The first step is to authenticate on users' Grid resources by virtual organizations. After login, the user is able to select which virtual organization is going to be used by the experiment. * Data assimilation: In order to assimilate the data sources, the user has to select them browsing through LFC Portlet. * Design Experiment workflow: In order to configure the experiment, the user will define the type of experiment (i.e. re-forecast), and its attributes to simulate. In this case the main attributes are: the field of interest (wind, precipitation, ...), the start and end date simulation and the requirements of the experiment. * Monitor workflow: In order to monitor the experiment the user will receive notification messages based on events and also the gateway will display the progress of the experiment. * Data storage: Like Data assimilation case, the user is able to browse and view the output data simulations using LFC Portlet. The objectives of WRF4SG can be described by considering two goals. The first goal is to show how WRF4SG facilitates to execute, monitor and manage climate workflows based on the WRF4G framework. And the second goal of WRF4SG is to help WRF users to execute their experiment workflows concurrently using heterogeneous computing resources such as HPC and Grid. [1] Kacsuk, P.: P-GRADE portal family for grid infrastructures. Concurrency and Computation: Practice and Experience. 23, 235-245 (2011). [2] http://www.meteo.unican.es/software/wrf4g

Integrating Gridded NASA Hydrological Data into CUAHSI HIS

NASA Technical Reports Server (NTRS)

Rui, Hualan; Teng, William; Vollmer, Bruce; Mocko, David M.; Beaudoing, Hiroko K.; Whiteaker, Tim; Valentine, David; Maidment, David; Hooper, Richard

2011-01-01

The amount of hydrological data available from NASA remote sensing and modeling systems is vast and ever-increasing;but, one challenge persists:increasing the usefulness of these data for, and thus their use by, end user communities. The Hydrology Data and Information Services Center (HDISC), part of the Goddard Earth Sciences DISC, has continually worked to better understand the hydrological data needs of different end users, to thus better able to bridge the gap between NASA data and end user communities. One effective strategy is integrating the data in to end user community tools and environments. There is an ongoing collaborative effort between NASA HDISC, NASA Hydrological Sciences Branch, and CUAHSI to integrate NASA gridded hydrology data in to the CUAHSI Hydrologic Information System (HIS).

A Multilayer Naïve Bayes Model for Analyzing User's Retweeting Sentiment Tendency.

PubMed

Wang, Mengmeng; Zuo, Wanli; Wang, Ying

2015-01-01

Today microblogging has increasingly become a means of information diffusion via user's retweeting behavior. Since retweeting content, as context information of microblogging, is an understanding of microblogging, hence, user's retweeting sentiment tendency analysis has gradually become a hot research topic. Targeted at online microblogging, a dynamic social network, we investigate how to exploit dynamic retweeting sentiment features in retweeting sentiment tendency analysis. On the basis of time series of user's network structure information and published text information, we first model dynamic retweeting sentiment features. Then we build Naïve Bayes models from profile-, relationship-, and emotion-based dimensions, respectively. Finally, we build a multilayer Naïve Bayes model based on multidimensional Naïve Bayes models to analyze user's retweeting sentiment tendency towards a microblog. Experiments on real-world dataset demonstrate the effectiveness of the proposed framework. Further experiments are conducted to understand the importance of dynamic retweeting sentiment features and temporal information in retweeting sentiment tendency analysis. What is more, we provide a new train of thought for retweeting sentiment tendency analysis in dynamic social networks.

Bridging the Gap - Networking Educators using Real-Time Seismic Data

NASA Astrophysics Data System (ADS)

Ortiz, A. M.; Renwald, M. D.; Baldwin, T. K.; Hall, M. K.

2004-12-01

After nearly a decade, the seismology community has made critical advances in identifying what is effective and what is needed for success in incorporating real-time seismic data in the classroom. Today's K-16 classroom teachers have many options and opportunities for incorporating short- and long-term inquiry activities for monitoring earthquakes and analyzing seismic data in their daily instruction. Through the SpiNet program, we are providing web-based tools that support educators working with real-time seismic data (http://www.scieds.com/spinet/). Our site includes a Recent Seismicity section, which allows users to share seismic data in real-time, and provides near real-time information about global seismicity. Our Activities section provides data and lessons to assist educators who wish to integrate seismology into their classroom. The Research section, currently under development, will allow educators to share general information about how they teach seismology in their classroom through a discussion board and by posting lesson plans. In addition, we are developing a user-friendly tool for students to post results of their research projects. Designing a website which targets a range of users requires a working knowledge of both user needs and website programming and design. User needs include providing a logical navigational structure and accounting for differences in browser functionality, internet access, and users' abilities. Using website development tools, such as PHP, MySQL, RDF feeds, and specialized geoscience applications, we are automating site maintenance; incorporating databases for information storage and retrieval; and providing accessibility for users with a range of skills and physical limitations. By incorporating these features, we have built a dynamic interface for a broad range of users interested in educational seismology.

Graphical user interface concepts for tactical augmented reality

NASA Astrophysics Data System (ADS)

Argenta, Chris; Murphy, Anne; Hinton, Jeremy; Cook, James; Sherrill, Todd; Snarski, Steve

2010-04-01

Applied Research Associates and BAE Systems are working together to develop a wearable augmented reality system under the DARPA ULTRA-Vis program†. Our approach to achieve the objectives of ULTRAVis, called iLeader, incorporates a full color 40° field of view (FOV) see-thru holographic waveguide integrated with sensors for full position and head tracking to provide an unobtrusive information system for operational maneuvers. iLeader will enable warfighters to mark-up the 3D battle-space with symbologic identification of graphical control measures, friendly force positions and enemy/target locations. Our augmented reality display provides dynamic real-time painting of symbols on real objects, a pose-sensitive 360° representation of relevant object positions, and visual feedback for a variety of system activities. The iLeader user interface and situational awareness graphical representations are highly intuitive, nondisruptive, and always tactically relevant. We used best human-factors practices, system engineering expertise, and cognitive task analysis to design effective strategies for presenting real-time situational awareness to the military user without distorting their natural senses and perception. We present requirements identified for presenting information within a see-through display in combat environments, challenges in designing suitable visualization capabilities, and solutions that enable us to bring real-time iconic command and control to the tactical user community.

Training wheelchair navigation in immersive virtual environments for patients with spinal cord injury - end-user input to design an effective system.

PubMed

Nunnerley, Joanne; Gupta, Swati; Snell, Deborah; King, Marcus

2017-05-01

A user-centred design was used to develop and test the feasibility of an immersive 3D virtual reality wheelchair training tool for people with spinal cord injury (SCI). A Wheelchair Training System was designed and modelled using the Oculus Rift headset and a Dynamic Control wheelchair joystick. The system was tested by clinicians and expert wheelchair users with SCI. Data from focus groups and individual interviews were analysed using a general inductive approach to thematic analysis. Four themes emerged: Realistic System, which described the advantages of a realistic virtual environment; a Wheelchair Training System, which described participants' thoughts on the wheelchair training applications; Overcoming Resistance to Technology, the obstacles to introducing technology within the clinical setting; and Working outside the Rehabilitation Bubble which described the protective hospital environment. The Oculus Rift Wheelchair Training System has the potential to provide a virtual rehabilitation setting which could allow wheelchair users to learn valuable community wheelchair use in a safe environment. Nausea appears to be a side effect of the system, which will need to be resolved before this can be a viable clinical tool. Implications for Rehabilitation Immersive virtual reality shows promising benefit for wheelchair training in a rehabilitation setting. Early engagement with consumers can improve product development.

Self-service for software development projects and HPC activities

NASA Astrophysics Data System (ADS)

Husejko, M.; Høimyr, N.; Gonzalez, A.; Koloventzos, G.; Asbury, D.; Trzcinska, A.; Agtzidis, I.; Botrel, G.; Otto, J.

2014-05-01

This contribution describes how CERN has implemented several essential tools for agile software development processes, ranging from version control (Git) to issue tracking (Jira) and documentation (Wikis). Running such services in a large organisation like CERN requires many administrative actions both by users and service providers, such as creating software projects, managing access rights, users and groups, and performing tool-specific customisation. Dealing with these requests manually would be a time-consuming task. Another area of our CERN computing services that has required dedicated manual support has been clusters for specific user communities with special needs. Our aim is to move all our services to a layered approach, with server infrastructure running on the internal cloud computing infrastructure at CERN. This contribution illustrates how we plan to optimise the management of our of services by means of an end-user facing platform acting as a portal into all the related services for software projects, inspired by popular portals for open-source developments such as Sourceforge, GitHub and others. Furthermore, the contribution will discuss recent activities with tests and evaluations of High Performance Computing (HPC) applications on different hardware and software stacks, and plans to offer a dynamically scalable HPC service at CERN, based on affordable hardware.

NASA's Global Change Master Directory: Discover and Access Earth Science Data Sets, Related Data Services, and Climate Diagnostics

NASA Astrophysics Data System (ADS)

Aleman, A.; Olsen, L. M.; Ritz, S.; Stevens, T.; Morahan, M.; Grebas, S. K.

2011-12-01

NASA's Global Change Master Directory provides the scientific community with the ability to discover, access, and use Earth science data, data-related services, and climate diagnostics worldwide.The GCMD offers descriptions of Earth science data sets using the Directory Interchange Format (DIF) metadata standard; Earth science related data services are described using the Service Entry Resource Format (SERF); and climate visualizations are described using the Climate Diagnostic (CD) standard. The DIF, SERF and CD standards each capture data attributes used to determine whether a data set, service, or climate visualization is relevant to a user's needs.Metadata fields include: title, summary, science keywords, service keywords, data center, data set citation, personnel, instrument, platform, quality, related URL, temporal and spatial coverage, data resolution and distribution information.In addition, nine valuable sets of controlled vocabularies have been developed to assist users in normalizing the search for data descriptions. An update to the GCMD's search functionality is planned to further capitalize on the controlled vocabularies during database queries.By implementing a dynamic keyword "tree", users will have the ability to search for data sets by combining keywords in new ways.This will allow users to conduct more relevant and efficient database searches to support the free exchange and re-use of Earth science data.

Statistical physics of language dynamics

NASA Astrophysics Data System (ADS)

Loreto, Vittorio; Baronchelli, Andrea; Mukherjee, Animesh; Puglisi, Andrea; Tria, Francesca

2011-04-01

Language dynamics is a rapidly growing field that focuses on all processes related to the emergence, evolution, change and extinction of languages. Recently, the study of self-organization and evolution of language and meaning has led to the idea that a community of language users can be seen as a complex dynamical system, which collectively solves the problem of developing a shared communication framework through the back-and-forth signaling between individuals. We shall review some of the progress made in the past few years and highlight potential future directions of research in this area. In particular, the emergence of a common lexicon and of a shared set of linguistic categories will be discussed, as examples corresponding to the early stages of a language. The extent to which synthetic modeling is nowadays contributing to the ongoing debate in cognitive science will be pointed out. In addition, the burst of growth of the web is providing new experimental frameworks. It makes available a huge amount of resources, both as novel tools and data to be analyzed, allowing quantitative and large-scale analysis of the processes underlying the emergence of a collective information and language dynamics.

DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics †

PubMed Central

de Lima, Tiago França Melo; Lana, Raquel Martins; de Senna Carneiro, Tiago Garcia; Codeço, Cláudia Torres; Machado, Gabriel Souza; Ferreira, Lucas Saraiva; de Castro Medeiros, Líliam César; Davis Junior, Clodoveu Augusto

2016-01-01

The prevention and control of dengue are great public health challenges for many countries, particularly since 2015, as other arboviruses have been observed to interact significantly with dengue virus. Different approaches and methodologies have been proposed and discussed by the research community. An important tool widely used is modeling and simulation, which help us to understand epidemic dynamics and create scenarios to support planning and decision making processes. With this aim, we proposed and developed DengueME, a collaborative open source platform to simulate dengue disease and its vector’s dynamics. It supports compartmental and individual-based models, implemented over a GIS database, that represent Aedes aegypti population dynamics, human demography, human mobility, urban landscape and dengue transmission mediated by human and mosquito encounters. A user-friendly graphical interface was developed to facilitate model configuration and data input, and a library of models was developed to support teaching-learning activities. DengueME was applied in study cases and evaluated by specialists. Other improvements will be made in future work, to enhance its extensibility and usability. PMID:27649226

GHRC: NASAs Hazardous Weather Distributed Active Archive Center

NASA Technical Reports Server (NTRS)

Ramachandran, Rahul; Bugbee, Kaylin

2016-01-01

The Global Hydrology Resource Center (GHRC; ghrc.nsstc.nasa.gov) is one of NASA's twelve Distributed Active Archive Centers responsible for providing access to NASA's Earth science data to users worldwide. Each of NASA's twelve DAACs focuses on a specific science discipline within Earth science, provides data stewardship services and supports its research community's needs. Established in 1991 as the Marshall Space Flight Center DAAC and renamed GHRC in 1997, the data center's original mission focused on the global hydrologic cycle. However, over the years, data holdings, tools and expertise of GHRC have gradually shifted. In 2014, a User Working Group (UWG) was established to review GHRC capabilities and provide recommendations to make GHRC more responsive to the research community's evolving needs. The UWG recommended an update to the GHRC mission, as well as a strategic plan to move in the new direction. After a careful and detailed analysis of GHRC's capabilities, research community needs and the existing data landscape, a new mission statement for GHRC has been crafted: to provide a comprehensive active archive of both data and knowledge augmentation services with a focus on hazardous weather, its governing dynamical and physical processes, and associated applications. Within this broad mandate, GHRC will focus on lightning, tropical cyclones and storm-induced hazards through integrated collections of satellite, airborne, and in-situ data sets. The new mission was adopted at the recent 2015 UWG meeting. GHRC will retain its current name until such time as it has built substantial data holdings aligned with the new mission.

Improving User Notification on Frequently Changing HPC Environments

DOE Office of Scientific and Technical Information (OSTI.GOV)

Fuson, Christopher B; Renaud, William A

2016-01-01

Today s HPC centers user environments can be very complex. Centers often contain multiple large complicated computational systems each with their own user environment. Changes to a system s environment can be very impactful; however, a center s user environment is, in one-way or another, frequently changing. Because of this, it is vital for centers to notify users of change. For users, untracked changes can be costly, resulting in unnecessary debug time as well as wasting valuable compute allocations and research time. Communicating frequent change to diverse user communities is a common and ongoing task for HPC centers. This papermore » will cover the OLCF s current processes and methods used to communicate change to users of the center s large Cray systems and supporting resources. The paper will share lessons learned and goals as well as practices, tools, and methods used to continually improve and reach members of the OLCF user community.« less

Unified Photo Enhancement by Discovering Aesthetic Communities From Flickr.

PubMed

Hong, Richang; Zhang, Luming; Tao, Dacheng

2016-03-01

Photo enhancement refers to the process of increasing the aesthetic appeal of a photo, such as changing the photo aspect ratio and spatial recomposition. It is a widely used technique in the printing industry, graphic design, and cinematography. In this paper, we propose a unified and socially aware photo enhancement framework which can leverage the experience of photographers with various aesthetic topics (e.g., portrait and landscape). We focus on photos from the image hosting site Flickr, which has 87 million users and to which more than 3.5 million photos are uploaded daily. First, a tagwise regularized topic model is proposed to describe the aesthetic topic of each Flickr user, and coherent and interpretable topics are discovered by leveraging both the visual features and tags of photos. Next, a graph is constructed to describe the similarities in aesthetic topics between the users. Noticeably, densely connected users have similar aesthetic topics, which are categorized into different communities by a dense subgraph mining algorithm. Finally, a probabilistic model is exploited to enhance the aesthetic attractiveness of a test photo by leveraging the photographic experiences of Flickr users from the corresponding communities of that photo. Paired-comparison-based user studies show that our method performs competitively on photo retargeting and recomposition. Moreover, our approach accurately detects aesthetic communities in a photo set crawled from nearly 100000 Flickr users.

Climate Change on Twitter: Topics, Communities and Conversations about the 2013 IPCC Working Group 1 Report

PubMed Central

Pearce, Warren; Holmberg, Kim; Hellsten, Iina; Nerlich, Brigitte

2014-01-01

In September 2013 the Intergovernmental Panel on Climate Change published its Working Group 1 report, the first comprehensive assessment of physical climate science in six years, constituting a critical event in the societal debate about climate change. This paper analyses the nature of this debate in one public forum: Twitter. Using statistical methods, tweets were analyzed to discover the hashtags used when people tweeted about the IPCC report, and how Twitter users formed communities around their conversational connections. In short, the paper presents the topics and tweeters at this particular moment in the climate debate. The most used hashtags related to themes of science, geographical location and social issues connected to climate change. Particularly noteworthy were tweets connected to Australian politics, US politics, geoengineering and fracking. Three communities of Twitter users were identified. Researcher coding of Twitter users showed how these varied according to geographical location and whether users were supportive, unsupportive or neutral in their tweets about the IPCC. Overall, users were most likely to converse with users holding similar views. However, qualitative analysis suggested the emergence of a community of Twitter users, predominantly based in the UK, where greater interaction between contrasting views took place. This analysis also illustrated the presence of a campaign by the non-governmental organization Avaaz, aimed at increasing media coverage of the IPCC report. PMID:24718388

Climate change on Twitter: topics, communities and conversations about the 2013 IPCC Working Group 1 report.

PubMed

Pearce, Warren; Holmberg, Kim; Hellsten, Iina; Nerlich, Brigitte

2014-01-01

In September 2013 the Intergovernmental Panel on Climate Change published its Working Group 1 report, the first comprehensive assessment of physical climate science in six years, constituting a critical event in the societal debate about climate change. This paper analyses the nature of this debate in one public forum: Twitter. Using statistical methods, tweets were analyzed to discover the hashtags used when people tweeted about the IPCC report, and how Twitter users formed communities around their conversational connections. In short, the paper presents the topics and tweeters at this particular moment in the climate debate. The most used hashtags related to themes of science, geographical location and social issues connected to climate change. Particularly noteworthy were tweets connected to Australian politics, US politics, geoengineering and fracking. Three communities of Twitter users were identified. Researcher coding of Twitter users showed how these varied according to geographical location and whether users were supportive, unsupportive or neutral in their tweets about the IPCC. Overall, users were most likely to converse with users holding similar views. However, qualitative analysis suggested the emergence of a community of Twitter users, predominantly based in the UK, where greater interaction between contrasting views took place. This analysis also illustrated the presence of a campaign by the non-governmental organization Avaaz, aimed at increasing media coverage of the IPCC report.

Services, systems, and policies affecting mobility device users' community mobility: A scoping review: Services, systèmes et politiques influençant la mobilité dans la communauté des utilisateurs d'aides à la mobilité : examen de la portée.

PubMed

Jónasdóttir, Sigrún Kristín; Polgar, Jan Miller

2018-04-01

Opportunities to travel from one place to another in the community, or community mobility, are especially important for mobility device users' ability to participate fully in society. However, contextual challenges to such mobility exist. This study summarizes the literature on existing community mobility barriers and facilitators of mobility device users created by services, systems, and policies as defined by the International Classification of Functioning, Disability, and Health (ICF). Arksey and O'Malley's approach for scoping studies was used for the review. The extraction chart was organized following the ICF, and frequency counts were used to report the data. The findings suggest that certain factors, such as transportation, open-space planning, and architecture and construction, influence community mobility opportunities. However, little attention has been paid to services, systems, and policies in the research literature, limiting the knowledge on the subject. Further research is needed to examine the relationship between specific services, systems, and policies and mobility device users' mobility within their communities.

Online extremism and the communities that sustain it: Detecting the ISIS supporting community on Twitter

PubMed Central

Joseph, Kenneth; Carley, Kathleen M.

2017-01-01

The Islamic State of Iraq and ash-Sham (ISIS) continues to use social media as an essential element of its campaign to motivate support. On Twitter, ISIS’ unique ability to leverage unaffiliated sympathizers that simply retweet propaganda has been identified as a primary mechanism in their success in motivating both recruitment and “lone wolf” attacks. The present work explores a large community of Twitter users whose activity supports ISIS propaganda diffusion in varying degrees. Within this ISIS supporting community, we observe a diverse range of actor types, including fighters, propagandists, recruiters, religious scholars, and unaffiliated sympathizers. The interaction between these users offers unique insight into the people and narratives critical to ISIS’ sustainment. In their entirety, we refer to this diverse set of users as an online extremist community or OEC. We present Iterative Vertex Clustering and Classification (IVCC), a scalable analytic approach for OEC detection in annotated heterogeneous networks, and provide an illustrative case study of an online community of over 22,000 Twitter users whose online behavior directly advocates support for ISIS or contibutes to the group’s propaganda dissemination through retweets. PMID:29194446

Did Somebody Say Community? Young People’s Critiques of Conventional Community Narratives in the Context of a Local Drug Scene

PubMed Central

Fast, Danya; Shoveller, Jean; Small, Will; Kerr, Thomas

2014-01-01

The language of community is ubiquitous in academic, public health, and policy discourse about drug using populations. Yet, it has been argued that in some settings, the parameters of “the drug user community” are far from self-evident. We undertook this ethnographic investigation to explore experiences and understandings of a “drug user community” (sometimes referred to more specifically as a “street youth community”) among young people entrenched in Vancouver’s inner city drug scene. Our findings revealed that in this context, conventional notions of community—that is, a social network characterized by commonality, mutual responsibility, solidarity, and/or stability—resonated with some youth. However, most questioned the value of membership within this community, in which what they had in common with other youth were ongoing experiences of poverty, marginalization, and social exclusion. Many felt membership in the drug user community precluded their ability to be responsible and productive citizens within the wider community of “mainstream society.” Experiences of resource deprivation and everyday violence on the streets led many participants to emphasize the limited possibilities for community among their peers. We argue that it is important to critically examine heretofore essentializing assumptions about the nature of inner city drug user or street youth communities in order to better understand young people’s needs and desires in these settings. PMID:24634540

Enabling the Capture and Sharing of NASA Technical Expertise Through Communities of Practice

NASA Technical Reports Server (NTRS)

Topousis, Daria E.; Dennehy, Cornelius J.; Lebsock, Kenneth L.

2011-01-01

Historically, engineers at the National Aeronautics and Space Administration (NASA) had few opportunities or incentives to share their technical expertise across the Agency. Its center- and project- focused culture often meant that knowledge never left organizational and geographic boundaries. With increasingly complex missions, the closeout of the Shuttle Program, and a new generation entering the workforce, developing a knowledge sharing culture became critical. To address this need, the Office of the Chief Engineer established communities of practice on the NASA Engineering Network. These communities were strategically aligned with NASA's core competencies in such disciplines as avionics, flight mechanics, life support, propulsion, structures, loads and dynamics, human factors, and guidance, navigation, and control. This paper describes the process used to identify and develop communities, from establishing simple websites that compiled discipline-specific resources to fostering a knowledge-sharing environment through collaborative and interactive technologies. It includes qualitative evidence of improved availability and transfer of knowledge. It focuses on pivotal capabilities that increased knowledge exchange such as a custom-made Ask An Expert system, community contact lists, publication of key resources, and submission forms that allowed any user to propose content for the sites. It discusses the peer relationships that developed through the communities and the leadership and infrastructure that made them possible.

Effectiveness Testing of Embedded User Support for U.S. Army Installation-Level Software

DTIC Science & Technology

1991-06-01

under what conditions Dynamic Help could influence performance and satisfaction. The ACIFS program was modified to provide automatic collection of all...under what conditions Dynamic Help can influence user performance and satisfaction. This chapter reports the design, implementation, and analysis of...ambiguous or is hidden in the body of the message. The ACIFS program has many user interface deficiencies, but it does allow the user to use trial and

A method to accurately estimate the muscular torques of human wearing exoskeletons by torque sensors.

PubMed

Hwang, Beomsoo; Jeon, Doyoung

2015-04-09

In exoskeletal robots, the quantification of the user's muscular effort is important to recognize the user's motion intentions and evaluate motor abilities. In this paper, we attempt to estimate users' muscular efforts accurately using joint torque sensor which contains the measurements of dynamic effect of human body such as the inertial, Coriolis, and gravitational torques as well as torque by active muscular effort. It is important to extract the dynamic effects of the user's limb accurately from the measured torque. The user's limb dynamics are formulated and a convenient method of identifying user-specific parameters is suggested for estimating the user's muscular torque in robotic exoskeletons. Experiments were carried out on a wheelchair-integrated lower limb exoskeleton, EXOwheel, which was equipped with torque sensors in the hip and knee joints. The proposed methods were evaluated by 10 healthy participants during body weight-supported gait training. The experimental results show that the torque sensors are to estimate the muscular torque accurately in cases of relaxed and activated muscle conditions.

A survey of potential users of the High Altitude Powered Platform (HAPP) in the ocean/coastal zone community

NASA Technical Reports Server (NTRS)

Escoe, D.; Rigternik, P.

1979-01-01

The results of a survey of the ocean/coastal zone community to determine potential applications of a High Altitude Powered Platform (HAPP) are reported. Such a platform, capable of stationkeeping for periods up to a year over a given location, could make frequent and repeated high resolution observations over a given region or serve as a high-altitude regional communications link. Users were surveyed in person and via a questionnaire to determine the desirability of the HAPP within the ocean/coastal zone community. The results of the survey indicated that there is strong interest in all areas of the user community (research and development, operational agencies, and private industry) in having NASA develop the HAPP.

Supporting community annotation and user collaboration in the integrated microbial genomes (IMG) system

DOE PAGES

Chen, I-Min A.; Markowitz, Victor M.; Palaniappan, Krishna; ...

2016-04-26

Background: The exponential growth of genomic data from next generation technologies renders traditional manual expert curation effort unsustainable. Many genomic systems have included community annotation tools to address the problem. Most of these systems adopted a "Wiki-based" approach to take advantage of existing wiki technologies, but encountered obstacles in issues such as usability, authorship recognition, information reliability and incentive for community participation. Results: Here, we present a different approach, relying on tightly integrated method rather than "Wiki-based" method, to support community annotation and user collaboration in the Integrated Microbial Genomes (IMG) system. The IMG approach allows users to use existingmore » IMG data warehouse and analysis tools to add gene, pathway and biosynthetic cluster annotations, to analyze/reorganize contigs, genes and functions using workspace datasets, and to share private user annotations and workspace datasets with collaborators. We show that the annotation effort using IMG can be part of the research process to overcome the user incentive and authorship recognition problems thus fostering collaboration among domain experts. The usability and reliability issues are addressed by the integration of curated information and analysis tools in IMG, together with DOE Joint Genome Institute (JGI) expert review. Conclusion: By incorporating annotation operations into IMG, we provide an integrated environment for users to perform deeper and extended data analysis and annotation in a single system that can lead to publications and community knowledge sharing as shown in the case studies.« less

Supporting community annotation and user collaboration in the integrated microbial genomes (IMG) system

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chen, I-Min A.; Markowitz, Victor M.; Palaniappan, Krishna

Background: The exponential growth of genomic data from next generation technologies renders traditional manual expert curation effort unsustainable. Many genomic systems have included community annotation tools to address the problem. Most of these systems adopted a "Wiki-based" approach to take advantage of existing wiki technologies, but encountered obstacles in issues such as usability, authorship recognition, information reliability and incentive for community participation. Results: Here, we present a different approach, relying on tightly integrated method rather than "Wiki-based" method, to support community annotation and user collaboration in the Integrated Microbial Genomes (IMG) system. The IMG approach allows users to use existingmore » IMG data warehouse and analysis tools to add gene, pathway and biosynthetic cluster annotations, to analyze/reorganize contigs, genes and functions using workspace datasets, and to share private user annotations and workspace datasets with collaborators. We show that the annotation effort using IMG can be part of the research process to overcome the user incentive and authorship recognition problems thus fostering collaboration among domain experts. The usability and reliability issues are addressed by the integration of curated information and analysis tools in IMG, together with DOE Joint Genome Institute (JGI) expert review. Conclusion: By incorporating annotation operations into IMG, we provide an integrated environment for users to perform deeper and extended data analysis and annotation in a single system that can lead to publications and community knowledge sharing as shown in the case studies.« less

The System Dynamics Model User Sustainability Explorer (SD-MUSE): a user-friendly tool for interpreting system dynamic models

EPA Science Inventory

System Dynamics (SD) models are useful for holistic integration of data to evaluate indirect and cumulative effects and inform decisions. Complex SD models can provide key insights into how decisions affect the three interconnected pillars of sustainability. However, the complexi...

Emotional Dynamics in the Age of Misinformation

PubMed Central

Zollo, Fabiana; Novak, Petra Kralj; Del Vicario, Michela; Bessi, Alessandro; Mozetič, Igor; Scala, Antonio; Caldarelli, Guido; Quattrociocchi, Walter

2015-01-01

According to the World Economic Forum, the diffusion of unsubstantiated rumors on online social media is one of the main threats for our society. The disintermediated paradigm of content production and consumption on online social media might foster the formation of homogeneous communities (echo-chambers) around specific worldviews. Such a scenario has been shown to be a vivid environment for the diffusion of false claim. Not rarely, viral phenomena trigger naive (and funny) social responses—e.g., the recent case of Jade Helm 15 where a simple military exercise turned out to be perceived as the beginning of the civil war in the US. In this work, we address the emotional dynamics of collective debates around distinct kinds of information—i.e., science and conspiracy news—and inside and across their respective polarized communities. We find that for both kinds of content the longer the discussion the more the negativity of the sentiment. We show that comments on conspiracy posts tend to be more negative than on science posts. However, the more the engagement of users, the more they tend to negative commenting (both on science and conspiracy). Finally, zooming in at the interaction among polarized communities, we find a general negative pattern. As the number of comments increases—i.e., the discussion becomes longer—the sentiment of the post is more and more negative. PMID:26422473

Satellite Observations of Coastal Processes from a Geostationary Orbit: Application to estuarine, coastal, and ocean resource management

NASA Astrophysics Data System (ADS)

Tzortziou, M.; Mannino, A.; Schaeffer, B. A.

2016-02-01

Coastal areas are among the most vulnerable yet economically valuable ecosystems on Earth. Estuaries and coastal oceans are critically important as essential habitat for marine life, as highly productive ecosystems and a rich source of food for human consumption, as a strong economic driver for coastal communities, and as a highly dynamic interface between land and ocean carbon and nutrient cycles. Still, our present capabilities to remotely observe coastal ocean processes from space are limited in their temporal, spatial, and spectral resolution. These limitations, in turn, constrain our ability to observe and understand biogeochemical processes in highly dynamic coastal ecosystems, or predict their response and resilience to current and future pressures including sea level rise, coastal urbanization, and anthropogenic pollution.On a geostationary orbit, and with high spatial resolution and hyper-spectral capabilities, NASA's Decadal Survey mission GEO-CAPE (GEO-stationary for Coastal and Air Pollution Events) will provide, for the first time, a satellite view of the short-term changes and evolution of processes along the economically invaluable but, simultaneously, particularly vulnerable near-shore waters of the United States. GEO-CAPE will observe U.S. lakes, estuaries, and coastal regions at sufficient temporal and spatial scales to resolve near-shore processes, tides, coastal fronts, and eddies, track sediments and pollutants, capture diurnal biogeochemical processes and rates of transformation, monitor harmful algal blooms and large oil spills, observe episodic events and coastal hazards. Here we discuss the GEO-CAPE applications program and the new capabilities afforded by this future satellite mission, to identify potential user communities, incorporate end-user needs into future mission planning, and allow integration of science and management at the coastal interface.

Satellite Observations of Coastal Processes from a Geostationary Orbit: Application to estuarine, coastal, and ocean resource management

NASA Astrophysics Data System (ADS)

Tzortziou, M.; Mannino, A.; Schaeffer, B. A.

2016-12-01

Coastal areas are among the most vulnerable yet economically valuable ecosystems on Earth. Estuaries and coastal oceans are critically important as essential habitat for marine life, as highly productive ecosystems and a rich source of food for human consumption, as a strong economic driver for coastal communities, and as a highly dynamic interface between land and ocean carbon and nutrient cycles. Still, our present capabilities to remotely observe coastal ocean processes from space are limited in their temporal, spatial, and spectral resolution. These limitations, in turn, constrain our ability to observe and understand biogeochemical processes in highly dynamic coastal ecosystems, or predict their response and resilience to current and future pressures including sea level rise, coastal urbanization, and anthropogenic pollution.On a geostationary orbit, and with high spatial resolution and hyper-spectral capabilities, NASA's Decadal Survey mission GEO-CAPE (GEO-stationary for Coastal and Air Pollution Events) will provide, for the first time, a satellite view of the short-term changes and evolution of processes along the economically invaluable but, simultaneously, particularly vulnerable near-shore waters of the United States. GEO-CAPE will observe U.S. lakes, estuaries, and coastal regions at sufficient temporal and spatial scales to resolve near-shore processes, tides, coastal fronts, and eddies, track sediments and pollutants, capture diurnal biogeochemical processes and rates of transformation, monitor harmful algal blooms and large oil spills, observe episodic events and coastal hazards. Here we discuss the GEO-CAPE applications program and the new capabilities afforded by this future satellite mission, to identify potential user communities, incorporate end-user needs into future mission planning, and allow integration of science and management at the coastal interface.

Hybrid 2-D and 3-D Immersive and Interactive User Interface for Scientific Data Visualization

DTIC Science & Technology

2017-08-01

visualization, 3-D interactive visualization, scientific visualization, virtual reality, real -time ray tracing 16. SECURITY CLASSIFICATION OF: 17...scientists to employ in the real world. Other than user-friendly software and hardware setup, scientists also need to be able to perform their usual...and scientific visualization communities mostly have different research priorities. For the VR community, the ability to support real -time user

Emergence of consensus as a modular-to-nested transition in communication dynamics

NASA Astrophysics Data System (ADS)

Borge-Holthoefer, Javier; Baños, Raquel A.; Gracia-Lázaro, Carlos; Moreno, Yamir

2017-01-01

Online social networks have transformed the way in which humans communicate and interact, leading to a new information ecosystem where people send and receive information through multiple channels, including traditional communication media. Despite many attempts to characterize the structure and dynamics of these techno-social systems, little is known about fundamental aspects such as how collective attention arises and what determines the information life-cycle. Current approaches to these problems either focus on human temporal dynamics or on semiotic dynamics. In addition, as recently shown, information ecosystems are highly competitive, with humans and memes striving for scarce resources -visibility and attention, respectively. Inspired by similar problems in ecology, here we develop a methodology that allows to cast all the previous aspects into a compact framework and to characterize, using microblogging data, information-driven systems as mutualistic networks. Our results show that collective attention around a topic is reached when the user-meme network self-adapts from a modular to a nested structure, which ultimately allows minimizing competition and attaining consensus. Beyond a sociological interpretation, we explore such resemblance to natural mutualistic communities via well-known dynamics of ecological systems.

Emergence of consensus as a modular-to-nested transition in communication dynamics.

PubMed

Borge-Holthoefer, Javier; Baños, Raquel A; Gracia-Lázaro, Carlos; Moreno, Yamir

2017-01-30

Online social networks have transformed the way in which humans communicate and interact, leading to a new information ecosystem where people send and receive information through multiple channels, including traditional communication media. Despite many attempts to characterize the structure and dynamics of these techno-social systems, little is known about fundamental aspects such as how collective attention arises and what determines the information life-cycle. Current approaches to these problems either focus on human temporal dynamics or on semiotic dynamics. In addition, as recently shown, information ecosystems are highly competitive, with humans and memes striving for scarce resources -visibility and attention, respectively. Inspired by similar problems in ecology, here we develop a methodology that allows to cast all the previous aspects into a compact framework and to characterize, using microblogging data, information-driven systems as mutualistic networks. Our results show that collective attention around a topic is reached when the user-meme network self-adapts from a modular to a nested structure, which ultimately allows minimizing competition and attaining consensus. Beyond a sociological interpretation, we explore such resemblance to natural mutualistic communities via well-known dynamics of ecological systems.

Emergence of consensus as a modular-to-nested transition in communication dynamics

PubMed Central

Borge-Holthoefer, Javier; Baños, Raquel A.; Gracia-Lázaro, Carlos; Moreno, Yamir

2017-01-01

Online social networks have transformed the way in which humans communicate and interact, leading to a new information ecosystem where people send and receive information through multiple channels, including traditional communication media. Despite many attempts to characterize the structure and dynamics of these techno-social systems, little is known about fundamental aspects such as how collective attention arises and what determines the information life-cycle. Current approaches to these problems either focus on human temporal dynamics or on semiotic dynamics. In addition, as recently shown, information ecosystems are highly competitive, with humans and memes striving for scarce resources –visibility and attention, respectively. Inspired by similar problems in ecology, here we develop a methodology that allows to cast all the previous aspects into a compact framework and to characterize, using microblogging data, information-driven systems as mutualistic networks. Our results show that collective attention around a topic is reached when the user-meme network self-adapts from a modular to a nested structure, which ultimately allows minimizing competition and attaining consensus. Beyond a sociological interpretation, we explore such resemblance to natural mutualistic communities via well-known dynamics of ecological systems. PMID:28134358

Using Dynamic Multi-Task Non-Negative Matrix Factorization to Detect the Evolution of User Preferences in Collaborative Filtering

PubMed Central

Ju, Bin; Qian, Yuntao; Ye, Minchao; Ni, Rong; Zhu, Chenxi

2015-01-01

Predicting what items will be selected by a target user in the future is an important function for recommendation systems. Matrix factorization techniques have been shown to achieve good performance on temporal rating-type data, but little is known about temporal item selection data. In this paper, we developed a unified model that combines Multi-task Non-negative Matrix Factorization and Linear Dynamical Systems to capture the evolution of user preferences. Specifically, user and item features are projected into latent factor space by factoring co-occurrence matrices into a common basis item-factor matrix and multiple factor-user matrices. Moreover, we represented both within and between relationships of multiple factor-user matrices using a state transition matrix to capture the changes in user preferences over time. The experiments show that our proposed algorithm outperforms the other algorithms on two real datasets, which were extracted from Netflix movies and Last.fm music. Furthermore, our model provides a novel dynamic topic model for tracking the evolution of the behavior of a user over time. PMID:26270539

Using Dynamic Multi-Task Non-Negative Matrix Factorization to Detect the Evolution of User Preferences in Collaborative Filtering.

PubMed

Ju, Bin; Qian, Yuntao; Ye, Minchao; Ni, Rong; Zhu, Chenxi

2015-01-01

Predicting what items will be selected by a target user in the future is an important function for recommendation systems. Matrix factorization techniques have been shown to achieve good performance on temporal rating-type data, but little is known about temporal item selection data. In this paper, we developed a unified model that combines Multi-task Non-negative Matrix Factorization and Linear Dynamical Systems to capture the evolution of user preferences. Specifically, user and item features are projected into latent factor space by factoring co-occurrence matrices into a common basis item-factor matrix and multiple factor-user matrices. Moreover, we represented both within and between relationships of multiple factor-user matrices using a state transition matrix to capture the changes in user preferences over time. The experiments show that our proposed algorithm outperforms the other algorithms on two real datasets, which were extracted from Netflix movies and Last.fm music. Furthermore, our model provides a novel dynamic topic model for tracking the evolution of the behavior of a user over time.

Perspectives on distributed computing : thirty people, four user types, and the distributed computing user experience.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Childers, L.; Liming, L.; Foster, I.

2008-10-15

This report summarizes the methodology and results of a user perspectives study conducted by the Community Driven Improvement of Globus Software (CDIGS) project. The purpose of the study was to document the work-related goals and challenges facing today's scientific technology users, to record their perspectives on Globus software and the distributed-computing ecosystem, and to provide recommendations to the Globus community based on the observations. Globus is a set of open source software components intended to provide a framework for collaborative computational science activities. Rather than attempting to characterize all users or potential users of Globus software, our strategy has beenmore » to speak in detail with a small group of individuals in the scientific community whose work appears to be the kind that could benefit from Globus software, learn as much as possible about their work goals and the challenges they face, and describe what we found. The result is a set of statements about specific individuals experiences. We do not claim that these are representative of a potential user community, but we do claim to have found commonalities and differences among the interviewees that may be reflected in the user community as a whole. We present these as a series of hypotheses that can be tested by subsequent studies, and we offer recommendations to Globus developers based on the assumption that these hypotheses are representative. Specifically, we conducted interviews with thirty technology users in the scientific community. We included both people who have used Globus software and those who have not. We made a point of including individuals who represent a variety of roles in scientific projects, for example, scientists, software developers, engineers, and infrastructure providers. The following material is included in this report: (1) A summary of the reported work-related goals, significant issues, and points of satisfaction with the use of Globus software; (2) A method for characterizing users according to their technology interactions, and identification of four user types among the interviewees using the method; (3) Four profiles that highlight points of commonality and diversity in each user type; (4) Recommendations for technology developers and future studies; (5) A description of the interview protocol and overall study methodology; (6) An anonymized list of the interviewees; and (7) Interview writeups and summary data. The interview summaries in Section 3 and transcripts in Appendix D illustrate the value of distributed computing software--and Globus in particular--to scientific enterprises. They also document opportunities to make these tools still more useful both to current users and to new communities. We aim our recommendations at developers who intend their software to be used and reused in many applications. (This kind of software is often referred to as 'middleware.') Our two core recommendations are as follows. First, it is essential for middleware developers to understand and explicitly manage the multiple user products in which their software components are used. We must avoid making assumptions about the commonality of these products and, instead, study and account for their diversity. Second, middleware developers should engage in different ways with different kinds of users. Having identified four general user types in Section 4, we provide specific ideas for how to engage them in Section 5.« less

Research on dynamic performance design of mobile phone application based on context awareness

NASA Astrophysics Data System (ADS)

Bo, Zhang

2018-05-01

It aims to explore the dynamic performance of different mobile phone applications and the user's cognitive differences, reduce the cognitive burden, and enhance the sense of experience. By analyzing the dynamic design performance in four different interactive contexts, and constructing the framework of information service process in the interactive context perception and the two perception principles of the cognitive consensus between designer and user, and the two kinds of knowledge in accordance with the perception principles. The analysis of the context will help users sense the dynamic performance more intuitively, so that the details of interaction will be performed more vividly and smoothly, thus enhance user's experience in the interactive process. The common perception experience enables designers and users to produce emotional resonance in different interactive contexts, and help them achieve rapid understanding of interactive content and perceive the logic and hierarchy of the content and the structure, therefore the effectiveness of mobile applications will be improved.

EVEREST: a virtual research environment for the Earth Sciences

NASA Astrophysics Data System (ADS)

Glaves, H. M.; Marelli, F.; Albani, M.

2015-12-01

There is an increasing requirement for researchers to work collaboratively using common resources whilst being geographically dispersed. By creating a virtual research environment (VRE) using a service oriented architecture (SOA) tailored to the needs of Earth Science (ES) communities, the EVEREST project will provide a range of both generic and domain specific data management services to support a dynamic approach to collaborative research. EVER-EST will provide the means to overcome existing barriers to sharing of Earth Science data and information allowing research teams to discover, access, share and process heterogeneous data, algorithms, results and experiences within and across their communities, including those domains beyond Earth Science. Data providers will be also able to monitor user experiences and collect feedback through the VRE, improving their capacity to adapt to the changing requirements of their end-users. The EVER-EST e-infrastructure will be validated by four virtual research communities (VRC) covering different multidisciplinary ES domains: including ocean monitoring, selected natural hazards (flooding, ground instability and extreme weather events), land monitoring and risk management (volcanoes and seismicity). Each of the VRC represents a different collaborative use case for the VRE according to its own specific requirements for data, software, best practice and community engagement. The diverse use cases will demonstrate how the VRE can be used for a range of activities from straight forward data/software sharing to investigating ways to improve cooperative working. Development of the EVEREST VRE will leverage on the results of several previous projects which have produced state-of-the-art technologies for scientific data management and curation as well those initiatives which have developed models, techniques and tools for the preservation of scientific methods and their implementation in computational forms such as scientific workflows.

Knowledge Acquisition and Management for the NASA Earth Exchange (NEX)

NASA Astrophysics Data System (ADS)

Votava, P.; Michaelis, A.; Nemani, R. R.

2013-12-01

NASA Earth Exchange (NEX) is a data, computing and knowledge collaboratory that houses NASA satellite, climate and ancillary data where a focused community can come together to share modeling and analysis codes, scientific results, knowledge and expertise on a centralized platform with access to large supercomputing resources. As more and more projects are being executed on NEX, we are increasingly focusing on capturing the knowledge of the NEX users and provide mechanisms for sharing it with the community in order to facilitate reuse and accelerate research. There are many possible knowledge contributions to NEX, it can be a wiki entry on the NEX portal contributed by a developer, information extracted from a publication in an automated way, or a workflow captured during code execution on the supercomputing platform. The goal of the NEX knowledge platform is to capture and organize this information and make it easily accessible to the NEX community and beyond. The knowledge acquisition process consists of three main faucets - data and metadata, workflows and processes, and web-based information. Once the knowledge is acquired, it is processed in a number of ways ranging from custom metadata parsers to entity extraction using natural language processing techniques. The processed information is linked with existing taxonomies and aligned with internal ontology (which heavily reuses number of external ontologies). This forms a knowledge graph that can then be used to improve users' search query results as well as provide additional analytics capabilities to the NEX system. Such a knowledge graph will be an important building block in creating a dynamic knowledge base for the NEX community where knowledge is both generated and easily shared.

The NHERI RAPID Facility: Enabling the Next-Generation of Natural Hazards Reconnaissance

NASA Astrophysics Data System (ADS)

Wartman, J.; Berman, J.; Olsen, M. J.; Irish, J. L.; Miles, S.; Gurley, K.; Lowes, L.; Bostrom, A.

2017-12-01

The NHERI post-disaster, rapid response research (or "RAPID") facility, headquartered at the University of Washington (UW), is a collaboration between UW, Oregon State University, Virginia Tech, and the University of Florida. The RAPID facility will enable natural hazard researchers to conduct next-generation quick response research through reliable acquisition and community sharing of high-quality, post-disaster data sets that will enable characterization of civil infrastructure performance under natural hazard loads, evaluation of the effectiveness of current and previous design methodologies, understanding of socio-economic dynamics, calibration of computational models used to predict civil infrastructure component and system response, and development of solutions for resilient communities. The facility will provide investigators with the hardware, software and support services needed to collect, process and assess perishable interdisciplinary data following extreme natural hazard events. Support to the natural hazards research community will be provided through training and educational activities, field deployment services, and by promoting public engagement with science and engineering. Specifically, the RAPID facility is undertaking the following strategic activities: (1) acquiring, maintaining, and operating state-of-the-art data collection equipment; (2) developing and supporting mobile applications to support interdisciplinary field reconnaissance; (3) providing advisory services and basic logistics support for research missions; (4) facilitating the systematic archiving, processing and visualization of acquired data in DesignSafe-CI; (5) training a broad user base through workshops and other activities; and (6) engaging the public through citizen science, as well as through community outreach and education. The facility commenced operations in September 2016 and will begin field deployments beginning in September 2018. This poster will provide an overview of the vision for the RAPID facility, the equipment that will be available for use, the facility's operations, and opportunities for user training and facility use.

Satellite Contamination and Materials Outgassing Knowledge base

NASA Technical Reports Server (NTRS)

Minor, Jody L.; Kauffman, William J. (Technical Monitor)

2001-01-01

Satellite contamination continues to be a design problem that engineers must take into account when developing new satellites. To help with this issue, NASA's Space Environments and Effects (SEE) Program funded the development of the Satellite Contamination and Materials Outgassing Knowledge base. This engineering tool brings together in one location information about the outgassing properties of aerospace materials based upon ground-testing data, the effects of outgassing that has been observed during flight and measurements of the contamination environment by on-orbit instruments. The knowledge base contains information using the ASTM Standard E- 1559 and also consolidates data from missions using quartz-crystal microbalances (QCM's). The data contained in the knowledge base was shared with NASA by government agencies and industry in the US and international space agencies as well. The term 'knowledgebase' was used because so much information and capability was brought together in one comprehensive engineering design tool. It is the SEE Program's intent to continually add additional material contamination data as it becomes available - creating a dynamic tool whose value to the user is ever increasing. The SEE Program firmly believes that NASA, and ultimately the entire contamination user community, will greatly benefit from this new engineering tool and highly encourages the community to not only use the tool but add data to it as well.

DataBase on Demand

NASA Astrophysics Data System (ADS)

Gaspar Aparicio, R.; Gomez, D.; Coterillo Coz, I.; Wojcik, D.

2012-12-01

At CERN a number of key database applications are running on user-managed MySQL database services. The database on demand project was born out of an idea to provide the CERN user community with an environment to develop and run database services outside of the actual centralised Oracle based database services. The Database on Demand (DBoD) empowers the user to perform certain actions that had been traditionally done by database administrators, DBA's, providing an enterprise platform for database applications. It also allows the CERN user community to run different database engines, e.g. presently open community version of MySQL and single instance Oracle database server. This article describes a technology approach to face this challenge, a service level agreement, the SLA that the project provides, and an evolution of possible scenarios.

User-Generated Content, YouTube and Participatory Culture on the Web: Music Learning and Teaching in Two Contrasting Online Communities

ERIC Educational Resources Information Center

Waldron, Janice

2013-01-01

In this paper, I draw on seminal literature from new media researchers to frame the broader implications that user-generated content (UGC), YouTube, and participatory culture have for music learning and teaching in online communities; to illustrate, I use examples from two contrasting online music communities, the Online Academy of Irish…

Detection of adverse drug reactions among ordinary users of liraglutide on the occasion of drug dispensing in the community pharmacy setting.

PubMed

Christensen, Søren Troels; Bjerrum, Ole Jannik

2013-12-01

Postmarketing studies of drugs forms an essential part of safety surveillance. In particular, this concerns new drugs as safety information of these by large rests on randomized clinical studies conducted on a limited number of subjects before licensing. Pharmacists in community pharmacies are in a unique position for detection of user experienced adverse drug reactions (ADRs) in relation to drug dispensing. The study reports from a research initiative exploring prompt and proactive ADR detection of liraglutide and reporting facilitated by pharmacy students undertaking internship in a community pharmacy in Denmark. Nineteen pharmacy students undertaking regular 6 months' internship--eighth semester--in a Danish community pharmacy participated in the data collection. Before the data collection, students attended an interactive training seminar addressing ADRs in general, organ symptoms, diagnostic classification, and pharmacovigilance systems. Pharmacy students approached recurrent drug users purchasing liraglutide. Participating users were asked about experienced ADRs linked to liraglutide use. Reported ADRs were collected and analyzed. Sixty-two liraglutide users participated in the study, of whom, 38 reported 84 ADRs possibly linked to liraglutide usage. Nausea was by far the most reported ADR followed by decreased appetite, diarrhea, fatigue, and abdominal pain (upper). The reported ADRs are in accordance with previously reported ADRs. The study has demonstrated the feasibility of community pharmacy driven pharmacovigilance. The study supports the thesis that community pharmacists in the future may play a proactive and prominent role in patient-centered pharmacovigilance.

User Manual and Source Code for a LAMMPS Implementation of Constant Energy Dissipative Particle Dynamics (DPD-E)

DTIC Science & Technology

2014-06-01

User Manual and Source Code for a LAMMPS Implementation of Constant Energy Dissipative Particle Dynamics (DPD-E) by James P. Larentzos...Laboratory Aberdeen Proving Ground, MD 21005-5069 ARL-SR-290 June 2014 User Manual and Source Code for a LAMMPS Implementation of Constant...3. DATES COVERED (From - To) September 2013–February 2014 4. TITLE AND SUBTITLE User Manual and Source Code for a LAMMPS Implementation of

A Secure Dynamic Identity and Chaotic Maps Based User Authentication and Key Agreement Scheme for e-Healthcare Systems.

PubMed

Li, Chun-Ta; Lee, Cheng-Chi; Weng, Chi-Yao; Chen, Song-Jhih

2016-11-01

Secure user authentication schemes in many e-Healthcare applications try to prevent unauthorized users from intruding the e-Healthcare systems and a remote user and a medical server can establish session keys for securing the subsequent communications. However, many schemes does not mask the users' identity information while constructing a login session between two or more parties, even though personal privacy of users is a significant topic for e-Healthcare systems. In order to preserve personal privacy of users, dynamic identity based authentication schemes are hiding user's real identity during the process of network communications and only the medical server knows login user's identity. In addition, most of the existing dynamic identity based authentication schemes ignore the inputs verification during login condition and this flaw may subject to inefficiency in the case of incorrect inputs in the login phase. Regarding the use of secure authentication mechanisms for e-Healthcare systems, this paper presents a new dynamic identity and chaotic maps based authentication scheme and a secure data protection approach is employed in every session to prevent illegal intrusions. The proposed scheme can not only quickly detect incorrect inputs during the phases of login and password change but also can invalidate the future use of a lost/stolen smart card. Compared the functionality and efficiency with other authentication schemes recently, the proposed scheme satisfies desirable security attributes and maintains acceptable efficiency in terms of the computational overheads for e-Healthcare systems.

Sociodemographic correlates of energy drink consumption with and without alcohol: results of a community survey.

PubMed

Berger, Lisa K; Fendrich, Michael; Chen, Han-Yang; Arria, Amelia M; Cisler, Ron A

2011-05-01

We examined the sociodemographic correlates of energy drink use and the differences between those who use them with and without alcohol in a representative community sample. A random-digit-dial landline telephone survey of adults in the Milwaukee, Wisconsin area responded to questions about energy drink and alcohol plus energy drink use. Almost one-third of respondents consumed at least one energy drink in their lifetime, while slightly over 25% used energy drinks in the past year and 6% were past-year alcohol plus energy drink users. There were important racial/ethnic differences in consumption patterns. Compared to non-users, past-year energy drink users were more likely to be non-Black minorities; and past-year alcohol plus energy drink users when compared to energy drink users only were more likely to be White and younger. Alcohol plus energy drink users also were more likely to be hazardous drinkers. Our results which are among the first from a community sample suggest a bifurcated pattern of energy drink use highlighting important population consumption differences between users of energy drinks only and those who use alcohol and energy drinks together. Copyright © 2010 Elsevier Ltd. All rights reserved.

Sociodemographic Correlates of Energy Drink Consumption With and Without Alcohol: Results of a Community Survey

PubMed Central

Berger, Lisa K.; Fendrich, Michael; Chen, Han-Yang; Arria, Amelia M.; Cisler, Ron A.

2010-01-01

Objective We examined the sociodemographic correlates of energy drink use and the differences between those who use them with and without alcohol in a representative community sample. Methods A random-digit-dial landline telephone survey of adults in the Milwaukee, Wisconsin area responded to questions about energy drink and alcohol plus energy drink use. Results Almost one-third of respondents consumed at least one energy drink in their lifetime, while slightly over 25% used energy drinks in the past year and 6% were past-year alcohol plus energy drink users. There were important racial/ethnic differences in consumption patterns. Compared to non-users, past-year energy drink users were more likely to be non-Black minorities; and past-year alcohol plus energy drink users when compared to energy drink users only were more likely to be White and younger. Alcohol plus energy drink users also were more likely to be hazardous drinkers. Conclusions Our results which are among the first from a community sample suggest a bifurcated pattern of energy drink use highlighting important population consumption differences between users of energy drinks only and those who use alcohol and energy drinks together. PMID:21276661

Mapping permafrost change hot-spots with Landsat time-series

NASA Astrophysics Data System (ADS)

Grosse, G.; Nitze, I.

2016-12-01

Recent and projected future climate warming strongly affects permafrost stability over large parts of the terrestrial Arctic with local, regional and global scale consequences. The monitoring and quantification of permafrost and associated land surface changes in these areas is crucial for the analysis of hydrological and biogeochemical cycles as well as vegetation and ecosystem dynamics. However, detailed knowledge of the spatial distribution and the temporal dynamics of these processes is scarce and likely key locations of permafrost landscape dynamics may remain unnoticed. As part of the ERC funded PETA-CARB and ESA GlobPermafrost projects, we developed an automated processing chain based on data from the entire Landsat archive (excluding MSS) for the detection of permafrost change related processes and hotspots. The automated method enables us to analyze thousands of Landsat scenes, which allows for a multi-scaled spatio-temporal analysis at 30 meter spatial resolution. All necessary processing steps are carried out automatically with minimal user interaction, including data extraction, masking, reprojection, subsetting, data stacking, and calculation of multi-spectral indices. These indices, e.g. Landsat Tasseled Cap and NDVI among others, are used as proxies for land surface conditions, such as vegetation status, moisture or albedo. Finally, a robust trend analysis is applied to each multi-spectral index and each pixel over the entire observation period of up to 30 years from 1985 to 2015, depending on data availability. Large transects of around 2 million km² across different permafrost types in Siberia and North America have been processed. Permafrost related or influencing landscape dynamics were detected within the trend analysis, including thermokarst lake dynamics, fires, thaw slumps, and coastal dynamics. The produced datasets will be distributed to the community as part of the ERC PETA-CARB and ESA GlobPermafrost projects. Users are encouraged to provide feedback and ground truth data for a continuous improvement of our methodology and datasets, which will lead to a better understanding of the spatial and temporal distribution of changes within the vulnerable permafrost zone.

How Relations are Built within a SNS World -- Social Network Analysis on Mixi --

NASA Astrophysics Data System (ADS)

Matsuo, Yutaka; Yasud, Yuki

Our purpose here is to (1) investigate the structure of the personal networks developed on mixi, a Japanese social networking service (SNS), and (2) to consider the governing mechanism which guides participants of a SNS to form an aggregate network. Our findings are as follows:the clustering coefficient of the network is as high as 0.33 while the characteristic path lenght is as low as 5.5. A network among central users (over 300 edges) consist of two cliques, which seems to be very fragile. Community-affiliation network suggests there are several easy-entry communities which later lead users to more high-entry, unique-theme communities. The analysis on connectedness within a community reveals the importance of real-world interaction. Lastly, we depict a probable image of the entire ecology on {\\\\em mixi} among users and communities, which contributes broadly to social systems on the Web.

Open Data, Jupyter Notebooks and Geospatial Data Standards Combined - Opening up large volumes of marine and climate data to other communities

NASA Astrophysics Data System (ADS)

Clements, O.; Siemen, S.; Wagemann, J.

2017-12-01

The EU-funded Earthserver-2 project aims to offer on-demand access to large volumes of environmental data (Earth Observation, Marine, Climate data and Planetary data) via the interface standard Web Coverage Service defined by the Open Geospatial Consortium. Providing access to data via OGC web services (e.g. WCS and WMS) has the potential to open up services to a wider audience, especially to users outside the respective communities. Especially WCS 2.0 with its processing extension Web Coverage Processing Service (WCPS) is highly beneficial to make large volumes accessible to non-expert communities. Users do not have to deal with custom community data formats, such as GRIB for the meteorological community, but can directly access the data in a format they are more familiar with, such as NetCDF, JSON or CSV. Data requests can further directly be integrated into custom processing routines and users are not required to download Gigabytes of data anymore. WCS supports trim (reduction of data extent) and slice (reduction of data dimension) operations on multi-dimensional data, providing users a very flexible on-demand access to the data. WCPS allows the user to craft queries to run on the data using a text-based query language, similar to SQL. These queries can be very powerful, e.g. condensing a three-dimensional data cube into its two-dimensional mean. However, the more processing-intensive the more complex the query. As part of the EarthServer-2 project, we developed a python library that helps users to generate complex WCPS queries with Python, a programming language they are more familiar with. The interactive presentation aims to give practical examples how users can benefit from two specific WCS services from the Marine and Climate community. Use-cases from the two communities will show different approaches to take advantage of a Web Coverage (Processing) Service. The entire content is available with Jupyter Notebooks, as they prove to be a highly beneficial tool to generate reproducible workflows for environmental data analysis.

Looking to the Future: Communicating with an expanding cryospheric user community

NASA Astrophysics Data System (ADS)

Gergely, K.; Scott, D.; Booker, L.

2009-12-01

The National Snow and Ice Data Center (NSIDC) at the University of Colorado is known for its customer service. Through the User Services Office (USO) NSIDC provides end-to-end data support with timely, friendly, and professional assistance. This service includes expertise in selecting, obtaining, and handling of data, as well as the dissemination of information related to NSIDC’s cryospheric data and information. This dissemination happens across many mediums, such as email, newsletters, and Web-published data documentation. With surveys like the American Customer Service Index, we are learning more and more about what the user’s informational needs are, and beginning to anticipate what the user's needs might be in the future. In this presentation, we will examine the current USO processes for communicating with our user community, and explore how social networking tools, such as Twitter, Blogging, or Facebook may enhance the overall user experience. We will assess a communication approach that combines mainstream and emerging technologies in order to maintain a high standard of customer service with an expanding cryospheric user community.

Rural providers' access to online resources: a randomized controlled trial

PubMed Central

Hall, Laura J.; McElfresh, Karen R.; Warner, Teddy D.; Stromberg, Tiffany L.; Trost, Jaren; Jelinek, Devin A.

2016-01-01

Objective The research determined the usage and satisfaction levels with one of two point-of-care (PoC) resources among health care providers in a rural state. Methods In this randomized controlled trial, twenty-eight health care providers in rural areas were stratified by occupation and region, then randomized into either the DynaMed or the AccessMedicine study arm. Study participants were physicians, physician assistants, and nurses. A pre- and post-study survey measured participants' attitudes toward different information resources and their information-seeking activities. Medical student investigators provided training and technical support for participants. Data analyses consisted of analysis of variance (ANOVA), paired t tests, and Cohen's d statistic to compare pre- and post-study effects sizes. Results Participants in both the DynaMed and the AccessMedicine arms of the study reported increased satisfaction with their respective PoC resource, as expected. Participants in both arms also reported that they saved time in finding needed information. At baseline, both arms reported too little information available, which increased to “about right amounts of information” at the completion of the study. DynaMed users reported a Cohen's d increase of +1.50 compared to AccessMedicine users' reported use of 0.82. DynaMed users reported d2 satisfaction increases of 9.48 versus AccessMedicine satisfaction increases of 0.59 using a Cohen's d. Conclusion Participants in the DynaMed arm of the study used this clinically oriented PoC more heavily than the users of the textbook-based AccessMedicine. In terms of user satisfaction, DynaMed users reported higher levels of satisfaction than the users of AccessMedicine. PMID:26807050

Characterizing and modeling the dynamics of activity and popularity.

PubMed

Zhang, Peng; Li, Menghui; Gao, Liang; Fan, Ying; Di, Zengru

2014-01-01

Social media, regarded as two-layer networks consisting of users and items, turn out to be the most important channels for access to massive information in the era of Web 2.0. The dynamics of human activity and item popularity is a crucial issue in social media networks. In this paper, by analyzing the growth of user activity and item popularity in four empirical social media networks, i.e., Amazon, Flickr, Delicious and Wikipedia, it is found that cross links between users and items are more likely to be created by active users and to be acquired by popular items, where user activity and item popularity are measured by the number of cross links associated with users and items. This indicates that users generally trace popular items, overall. However, it is found that the inactive users more severely trace popular items than the active users. Inspired by empirical analysis, we propose an evolving model for such networks, in which the evolution is driven only by two-step random walk. Numerical experiments verified that the model can qualitatively reproduce the distributions of user activity and item popularity observed in empirical networks. These results might shed light on the understandings of micro dynamics of activity and popularity in social media networks.

Characterizing and Modeling the Dynamics of Activity and Popularity

PubMed Central

Zhang, Peng; Li, Menghui; Gao, Liang; Fan, Ying; Di, Zengru

2014-01-01

Social media, regarded as two-layer networks consisting of users and items, turn out to be the most important channels for access to massive information in the era of Web 2.0. The dynamics of human activity and item popularity is a crucial issue in social media networks. In this paper, by analyzing the growth of user activity and item popularity in four empirical social media networks, i.e., Amazon, Flickr, Delicious and Wikipedia, it is found that cross links between users and items are more likely to be created by active users and to be acquired by popular items, where user activity and item popularity are measured by the number of cross links associated with users and items. This indicates that users generally trace popular items, overall. However, it is found that the inactive users more severely trace popular items than the active users. Inspired by empirical analysis, we propose an evolving model for such networks, in which the evolution is driven only by two-step random walk. Numerical experiments verified that the model can qualitatively reproduce the distributions of user activity and item popularity observed in empirical networks. These results might shed light on the understandings of micro dynamics of activity and popularity in social media networks. PMID:24586586

Biomedical Big Data Training Collaborative (BBDTC): An effort to bridge the talent gap in biomedical science and research.

PubMed

Purawat, Shweta; Cowart, Charles; Amaro, Rommie E; Altintas, Ilkay

2016-06-01

The BBDTC (https://biobigdata.ucsd.edu) is a community-oriented platform to encourage high-quality knowledge dissemination with the aim of growing a well-informed biomedical big data community through collaborative efforts on training and education. The BBDTC collaborative is an e-learning platform that supports the biomedical community to access, develop and deploy open training materials. The BBDTC supports Big Data skill training for biomedical scientists at all levels, and from varied backgrounds. The natural hierarchy of courses allows them to be broken into and handled as modules . Modules can be reused in the context of multiple courses and reshuffled, producing a new and different, dynamic course called a playlist . Users may create playlists to suit their learning requirements and share it with individual users or the wider public. BBDTC leverages the maturity and design of the HUBzero content-management platform for delivering educational content. To facilitate the migration of existing content, the BBDTC supports importing and exporting course material from the edX platform. Migration tools will be extended in the future to support other platforms. Hands-on training software packages, i.e., toolboxes , are supported through Amazon EC2 and Virtualbox virtualization technologies, and they are available as: ( i ) downloadable lightweight Virtualbox Images providing a standardized software tool environment with software packages and test data on their personal machines, and ( ii ) remotely accessible Amazon EC2 Virtual Machines for accessing biomedical big data tools and scalable big data experiments. At the moment, the BBDTC site contains three open Biomedical big data training courses with lecture contents, videos and hands-on training utilizing VM toolboxes, covering diverse topics. The courses have enhanced the hands-on learning environment by providing structured content that users can use at their own pace. A four course biomedical big data series is planned for development in 2016.

Development of a Web Based Simulating System for Earthquake Modeling on the Grid

NASA Astrophysics Data System (ADS)

Seber, D.; Youn, C.; Kaiser, T.

2007-12-01

Existing cyberinfrastructure-based information, data and computational networks now allow development of state- of-the-art, user-friendly simulation environments that democratize access to high-end computational environments and provide new research opportunities for many research and educational communities. Within the Geosciences cyberinfrastructure network, GEON, we have developed the SYNSEIS (SYNthetic SEISmogram) toolkit to enable efficient computations of 2D and 3D seismic waveforms for a variety of research purposes especially for helping to analyze the EarthScope's USArray seismic data in a speedy and efficient environment. The underlying simulation software in SYNSEIS is a finite difference code, E3D, developed by LLNL (S. Larsen). The code is embedded within the SYNSEIS portlet environment and it is used by our toolkit to simulate seismic waveforms of earthquakes at regional distances (<1000km). Architecturally, SYNSEIS uses both Web Service and Grid computing resources in a portal-based work environment and has a built in access mechanism to connect to national supercomputer centers as well as to a dedicated, small-scale compute cluster for its runs. Even though Grid computing is well-established in many computing communities, its use among domain scientists still is not trivial because of multiple levels of complexities encountered. We grid-enabled E3D using our own dialect XML inputs that include geological models that are accessible through standard Web services within the GEON network. The XML inputs for this application contain structural geometries, source parameters, seismic velocity, density, attenuation values, number of time steps to compute, and number of stations. By enabling a portal based access to a such computational environment coupled with its dynamic user interface we enable a large user community to take advantage of such high end calculations in their research and educational activities. Our system can be used to promote an efficient and effective modeling environment to help scientists as well as educators in their daily activities and speed up the scientific discovery process.

Similarity between community structures of different online social networks and its impact on underlying community detection

NASA Astrophysics Data System (ADS)

Fan, W.; Yeung, K. H.

2015-03-01

As social networking services are popular, many people may register in more than one online social network. In this paper we study a set of users who have accounts of three online social networks: namely Foursquare, Facebook and Twitter. Community structure of this set of users may be reflected in these three online social networks. Therefore, high correlation between these reflections and the underlying community structure may be observed. In this work, community structures are detected in all three online social networks. Also, we investigate the similarity level of community structures across different networks. It is found that they show strong correlation with each other. The similarity between different networks may be helpful to find a community structure close to the underlying one. To verify this, we propose a method to increase the weights of some connections in networks. With this method, new networks are generated to assist community detection. By doing this, value of modularity can be improved and the new community structure match network's natural structure better. In this paper we also show that the detected community structures of online social networks are correlated with users' locations which are identified on Foursquare. This information may also be useful for underlying community detection.

Definition of performance specifications for automated Analytical Electrophoresis Facility (AAEF)

NASA Technical Reports Server (NTRS)

Brooks, D. E.

1976-01-01

In order to provide specifications for the automated Analytical Electrophoresis Facility (AAEF) that would satisfy the broadest variety of demands of a future user community, a survey was carried out of all those people who were identified as having published papers on cell electrophoresis in the past four years. A computer search was conducted of the relevant literature from which a list of 87 investigators was derived and defined as the user community for purposes of the mailing. A questionnaire was developed covering the areas of performance which required definition which was subsequently circulated to the user community. Based on the response to this survey performance specifications were assembled.

Substance abuse and child maltreatment.

PubMed

Wells, Kathryn

2009-04-01

Pediatricians and other medical providers caring for children need to be aware of the dynamics in the significant relationship between substance abuse and child maltreatment. A caregiver's use and abuse of alcohol, marijuana, heroin, cocaine, methamphetamine, and other drugs place the child at risk in multiple ways. Members of the medical community need to understand these risks because the medical community plays a unique and important role in identifying and caring for these children. Substance abuse includes the abuse of legal drugs as well as the use of illegal drugs. The abuse of legal substances may be just as detrimental to parental functioning as abuse of illicit substances. Many substance abusers are also polysubstance users and the compounded effect of the abuse of multiple substances may be difficult to measure. Often other interrelated social features, such as untreated mental illness, trauma history, and domestic violence, affect these families.

Using accountability to improve reproductive health care.

PubMed

George, Asha

2003-05-01

Accountability is best understood as a referee of the dynamics in two-way relationships, often between unequal partners. The literature on accountability distinguishes between political, fiscal, administrative, legal and constitutional accountability. This paper focuses on accountability mechanisms in health care and how they mediate between service providers and communities and between different kinds of health personnel at the primary health care level. It refers to case studies of participatory processes for improving sexual and reproductive health service delivery. Information, dialogue and negotiation are important elements that enable accountability mechanisms to address problems by supporting change and engagement between participants. In order to succeed, however, efforts towards better accountability that broaden the participation of users must take into account the social contexts and the policy and service delivery systems in which they are applied, address power relations and improve the representation of marginalised groups within communities and service delivery systems.

Development blocks in innovation networks: The Swedish manufacturing industry, 1970-2007.

PubMed

Taalbi, Josef

2017-01-01

The notion of development blocks (Dahmén, 1950, 1991) suggests the co-evolution of technologies and industries through complementarities and the overcoming of imbalances. This study proposes and applies a methodology to analyse development blocks empirically. To assess the extent and character of innovational interdependencies between industries the study combines analysis of innovation biographies and statistical network analysis. This is made possible by using data from a newly constructed innovation output database for Sweden. The study finds ten communities of closely related industries in which innovation activity has been prompted by the emergence of technological imbalances or by the exploitation of new technological opportunities. The communities found in the Swedish network of innovation are shown to be stable over time and often characterized by strong user-supplier interdependencies. These findings serve to stress how historical imbalances and opportunities are key to understanding the dynamics of the long-run development of industries and new technologies.

[Dynamics and interactions between the university community and public health 2.0].

PubMed

Rodríguez-Gómez, Rodolfo

2016-01-01

To explore the experiences of a group of participants in a university community with the web in general and with digital contents on public health, to describe their motivations and to understand how social networks influence their interaction with content on public health. Qualitative research. Deep semi-structured interviews were conducted to understand the phenomenon. Five categories emerged after the study: socialization and internalization of the cyberculture, social marketing linked to the web and public health, culture of fear and distrust, the concept of health, and the health system and public health. Participants have internalized the web and have given it a strong symbolic capital. The challenges of public health 2.0 are not only to achieve interaction with users and to get a place in cyberspace, but also to fight against the stigma of the "public" and to take advantage of the influence of the web on small-world networks to communicate.

Efforts to monitor Global progress on individual and community demand for immunization: Development of definitions and indicators for the Global Vaccine Action Plan Strategic Objective 2.

PubMed

Hickler, Benjamin; MacDonald, Noni E; Senouci, Kamel; Schuh, Holly B

2017-06-16

The Second Strategic Objective of the Global Vaccine Action Plan, "individuals and communities understand the value of vaccines and demand immunization as both their right and responsibility", differs from the other five in that it does not focus on supply-side aspects of immunization programs but rather on public demand for vaccines and immunization services. This commentary summarizes the work (literature review, consultations with experts, and with potential users) and findings of the UNICEF/World Health Organization Strategic Objective 2 informal Working Group on Vaccine Demand, which developed a definition for demand and indicators related to Strategic Objective 2. Demand for vaccines and vaccination is a complex concept that is not external to supply systems but rather encompasses the interaction between human behaviors and system structure and dynamics. Copyright © 2017. Published by Elsevier Ltd.

Building Models in the Classroom: Taking Advantage of Sophisticated Geomorphic Numerical Tools Using a Simple Graphical User Interface

NASA Astrophysics Data System (ADS)

Roy, S. G.; Koons, P. O.; Gerbi, C. C.; Capps, D. K.; Tucker, G. E.; Rogers, Z. A.

2014-12-01

Sophisticated numerical tools exist for modeling geomorphic processes and linking them to tectonic and climatic systems, but they are often seen as inaccessible for users with an exploratory level of interest. We have improved the accessibility of landscape evolution models by producing a simple graphics user interface (GUI) that takes advantage of the Channel-Hillslope Integrated Landscape Development (CHILD) model. Model access is flexible: the user can edit values for basic geomorphic, tectonic, and climate parameters, or obtain greater control by defining the spatiotemporal distributions of those parameters. Users can make educated predictions by choosing their own parametric values for the governing equations and interpreting the results immediately through model graphics. This method of modeling allows users to iteratively build their understanding through experimentation. Use of this GUI is intended for inquiry and discovery-based learning activities. We discuss a number of examples of how the GUI can be used at the upper high school, introductory university, and advanced university level. Effective teaching modules initially focus on an inquiry-based example guided by the instructor. As students become familiar with the GUI and the CHILD model, the class can shift to more student-centered exploration and experimentation. To make model interpretations more robust, digital elevation models can be imported and direct comparisons can be made between CHILD model results and natural topography. The GUI is available online through the University of Maine's Earth and Climate Sciences website, through the Community Surface Dynamics Modeling System (CSDMS) model repository, or by contacting the corresponding author.

Service users' expectations of treatment and support at the Community Mental Health Centre in their recovery.

PubMed

Biringer, Eva; Davidson, Larry; Sundfør, Bengt; Ruud, Torleif; Borg, Marit

2017-09-01

Focus on service users' needs, coping and empowerment, user involvement, and comprehensiveness are supposed to be key elements of the Community Mental Health Centres in Norway. Taking a user-oriented approach means acknowledging the individual's own expectations, aims and hopes. However, studies that have investigated service users' expectations of treatment and support at Community Mental Health Centres are hard to find. The aim of the study was therefore to explore service users' expectations at the start of treatment at a Community Mental Health Centre. Within a collaborative framework, taking a hermeneutic-phenomenological approach, ten service users participated in in-depth interviews about their expectations, hopes and aims for treatment and recovery. The participants sought help due to various mental health issues that had interfered with their lives and created disability and suffering. A data-driven stepwise approach in line with thematic analysis was used. The study was approved by the Norwegian Social Science Data Services. The following four main themes representing participants' expectations at the start of treatment were elicited: hope for recovery, developing understanding, finding tools for coping and receiving counselling and practical assistance. Participants' expectations about treatment were tightly interwoven with their personal aims and hopes for their future life, and expectations were often related to practical and financial problems, the solution of which being deemed necessary to gain a safe basis for recovery in the long run. The transferability of the results may be limited by the small number of participants. The study emphasises how important it is that service users' personal aims and expectations guide the collaborative treatment process. In addition to providing treatment aimed at improving symptoms, Community Mental Health Centres should take a more comprehensive approach than today by providing more support with family issues, social life, education, work and financial issues. © 2016 Nordic College of Caring Science.

Forumclínic: the shaping of virtual communities to assist patients with chronic diseases.

PubMed

Grau, Immaculada; Grajales Iii, Francisco J; Gene-Badia, Joan; Siso, Antoni; de Semir, Marc

2013-01-01

Information and communication technologies (ICTs) provide new opportunities to complement traditional care while enhancing patient autonomy. With the objective to supplement patient care, a group of health professionals at the Hospital Clínic de Barcelona created Forumclínic, an online networking website in Spanish and Catalan. In 2008, seven web- and DVD-based chronic disease portals (Diabetes, Schizophrenia, Cardiac Ischemia, COPD, Depression, Breast Cancer and cardiovascular risk) were created with the following resources: multimedia patient education material; physician-specialist transcribed research (articles) news; an open question forum (for clinician-user and user-to-user interaction); and patient and specialist interview videos on the progress of disease, common diagnosis and treatment procedures; and information on the best or worst prognoses. Using data from Google Analytics, server logs were used to observe online behaviour patterns and user postings. This data combined with a mixed methods approach were used to evaluate the development of a virtual community (VC). A virtual community was developed when the number of forum visits was greater than those in the disease portal (definition). While nearly half of the visitors were from the Americas, the Schizophrenia, Breast Cancer, Depression and COPD forums met the criteria for and developed a virtual community. However, the Diabetes and Cardiac Ischemia forums did not reach VC status. It is also interesting to note that users in their late thirties and early forties were primarily women. The development of four virtual communities in Forumclínic seems to support the self-care needs of virtual patients. Users also reported appreciating the increased interaction with experts online and commonly collaborated with the forum moderator to guide and support other users with similar conditions in managing their health. Thence, we believe that Forumclínic is a good model to complement traditional patient care. A formal evaluation of this adjuvant form of care, from both the users' and moderators' perspective, is currently in its final stages.

Evolving a NASA Digital Object Identifiers System with Community Engagement

NASA Technical Reports Server (NTRS)

Wanchoo, Lalit; James, Nathan

2016-01-01

To demonstrate how the ESDIS (Earth Science Data and Information System) DOI (Digital Object Identifier) system and its processes have evolved over these years based on the recommendations provided by the user community (whether the community members create and manage DOI information or use DOIs in the data citations). The user community is comprised of people with common interests and needs for data identifiers who are actively involved in the creation and usage process. Engagement describes the interactive context wherein the community provides information, evaluates the proposed processes, and provides guidance in the area of identifiers.

A web based Radiation Oncology Dose Manager with a rich User Interface developed using AJAX, ruby, dynamic XHTML and the new Yahoo/EXT User Interface Library.

PubMed

Vali, Faisal; Hong, Robert

2007-10-11

With the evolution of AJAX, ruby on rails, advanced dynamic XHTML technologies and the advent of powerful user interface libraries for javascript (EXT, Yahoo User Interface Library), developers now have the ability to provide truly rich interfaces within web browsers, with reasonable effort and without third-party plugins. We designed and developed an example of such a solution. The User Interface allows radiation oncology practices to intuitively manage different dose fractionation schemes by helping estimate total dose to irradiated organs.

Geospatial Data as a Service: The GEOGLAM Rangelands and Pasture Productivity Map Experience

NASA Astrophysics Data System (ADS)

Evans, B. J. K.; Antony, J.; Guerschman, J. P.; Larraondo, P. R.; Richards, C. J.

2017-12-01

Empowering end-users like pastoralists, land management specialists and land policy makers in the use of earth observation data for both day-to-day and seasonal planning needs both interactive delivery of multiple geospatial datasets and the capability of supporting on-the-fly dynamic queries while simultaneously fostering a community around the effort. The use of and wide adoption of large data archives, like those produced by earth observation missions, are often limited by compute and storage capabilities of the remote user. We demonstrate that wide-scale use of large data archives can be facilitated by end-users dynamically requesting value-added products using open standards (WCS, WMS, WPS), with compute running in the cloud or dedicated data-centres and visualizing outputs on web-front ends. As an example, we will demonstrate how a tool called GSKY can empower a remote end-user by providing the data delivery and analytics capabilities for the GEOGLAM Rangelands and Pasture Productivity (RAPP) Map tool. The GEOGLAM RAPP initiative from the Group on Earth Observations (GEO) and its Agricultural Monitoring subgroup aims at providing practical tools to end-users focusing on the important role of rangelands and pasture systems in providing food production security from both agricultural crops and animal protein. Figure 1, is a screen capture from the RAPP Map interface for an important pasture area in the Namibian rangelands. The RAPP Map has been in production for six months and has garnered significant interest from groups and users all over the world. GSKY, being formulated around the theme of Open Geospatial Data-as-a-Service capabilities uses distributed computing and storage to facilitate this. It works behind the scenes, accepting OGC standard requests in WCS, WMS and WPS. Results from these requests are rendered on a web-front end. In this way, the complexities of data locality and compute execution are masked from an end user. On-the-fly computation of products such as NDVI, Leaf Area Index, vegetation cover and others from original source data including MODIS are achived, with Landsat and Sentinel-2 on the horizon. Innovative use of cloud computing and storage along with flexible front-ends, allow the democratization of data dissemination and we hope better outcomes for the planet.

iMetaLab 1.0: A web platform for metaproteomics data analysis.

PubMed

Liao, Bo; Ning, Zhibin; Cheng, Kai; Zhang, Xu; Li, Leyuan; Mayne, Janice; Figeys, Daniel

2018-06-15

The human gut microbiota, a complex, dynamic and biodiverse community, has been increasingly shown to influence many aspects of health and disease. Metaproteomic analysis has proven to be a powerful approach to study the functionality of the microbiota. However, the processing and analyses of metaproteomic mass spectrometry (MS) data remains a daunting task in metaproteomics data analysis. We developed iMetaLab, a web based platform to provide a user-friendly and comprehensive data analysis pipeline with a focus on lowering the technical barrier for metaproteomics data analysis. iMetaLab is freely available through at http://imetalab.ca. Supplementary data are available at Bioinformatics online.

Sediment dynamics of muddy coasts and estuaries in China: An introduction

NASA Astrophysics Data System (ADS)

Wang, Xiao Hua; Gan, Jianping; Lowe, Ryan

2018-06-01

Sustainable livelihoods and economic development is supported by effective management of coastal and estuarine assets, which represents a huge and, in many instances, extremely costly challenge, in particular given the multiple stakeholders with mixed interests in ports and harbours and the adjacent coastal and marine environments. Given the importance of the well-being of coastal environments, the rapid expansion of major ports has caused concerns within both the scientific community and the general public about the possible environmental consequences. The implications of these rapid coastal changes, including urbanization and industrialization, are often highly degraded natural systems, ecosystems with compromised functions, and intense conflict and competition between users.

Objective comparison of particle tracking methods.

PubMed

Chenouard, Nicolas; Smal, Ihor; de Chaumont, Fabrice; Maška, Martin; Sbalzarini, Ivo F; Gong, Yuanhao; Cardinale, Janick; Carthel, Craig; Coraluppi, Stefano; Winter, Mark; Cohen, Andrew R; Godinez, William J; Rohr, Karl; Kalaidzidis, Yannis; Liang, Liang; Duncan, James; Shen, Hongying; Xu, Yingke; Magnusson, Klas E G; Jaldén, Joakim; Blau, Helen M; Paul-Gilloteaux, Perrine; Roudot, Philippe; Kervrann, Charles; Waharte, François; Tinevez, Jean-Yves; Shorte, Spencer L; Willemse, Joost; Celler, Katherine; van Wezel, Gilles P; Dan, Han-Wei; Tsai, Yuh-Show; Ortiz de Solórzano, Carlos; Olivo-Marin, Jean-Christophe; Meijering, Erik

2014-03-01

Particle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy image data. Because manually detecting and following large numbers of individual particles is not feasible, automated computational methods have been developed for these tasks by many groups. Aiming to perform an objective comparison of methods, we gathered the community and organized an open competition in which participating teams applied their own methods independently to a commonly defined data set including diverse scenarios. Performance was assessed using commonly defined measures. Although no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to notable practical conclusions for users and developers.

Heroin shortage in Coastal Kenya: A rapid assessment and qualitative analysis of heroin users’ experiences

PubMed Central

Mital, Sasha; Miles, Gillian; McLellan-Lemal, Eleanor; Muthui, Mercy; Needle, Richard

2016-01-01

Introduction While relatively rare events, abrupt disruptions in heroin availability have a significant impact on morbidity and mortality risk among those who are heroin dependent. A heroin shortage occurred in Coast Province, Kenya from December 2010 to March 2011. This qualitative analysis describes the shortage events and consequences from the perspective of heroin users, along with implications for health and other public sectors. Methods As part of a rapid assessment, 66 key informant interviews and 15 focus groups among heroin users in Coast Province, Kenya were conducted. A qualitative thematic analysis was undertaken in Atlas.ti. to identify salient themes related to the shortage. Results Overall, participant accounts were rooted in a theme of desperation and uncertainty, with emphasis on six sub-themes: (1) withdrawal and strategies for alleviating withdrawal, including use of medical intervention and other detoxification attempts; (2) challenges of dealing with unpredictable drug availability, cost, and purity; (3) changes in drug use patterns, and actions taken to procure heroin and other drugs; (4) modifications in drug user relationship dynamics and networks, including introduction of risky group-level injection practices; (5) family and community response; and (6) new challenges with the heroin market resurgence. Conclusions The heroin shortage led to a series of consequences for drug users, including increased risk of morbidity, mortality and disenfranchisement at social and structural levels. Availability of evidence-based services for drug users and emergency preparedness plans could have mitigated this impact. PMID:26470646

Effects of robotic manipulators on movements of novices and surgeons.

PubMed

Nisky, Ilana; Okamura, Allison M; Hsieh, Michael H

2014-07-01

Robot-assisted surgery is widely adopted for many procedures but has not realized its full potential to date. Based on human motor control theories, the authors hypothesized that the dynamics of the master manipulators impose challenges on the motor system of the user and may impair performance and slow down learning. Although studies have shown that robotic outcomes are correlated with the case experience of the surgeon, the relative contribution of cognitive versus motor skill is unknown. This study quantified the effects of da Vinci Si master manipulator dynamics on movements of novice users and experienced surgeons and suggests possible implications for training and robot design. In the reported study, six experienced robotic surgeons and ten novice nonmedical users performed movements under two conditions: teleoperation of a da Vinci Si Surgical system and freehand. A linear mixed model was applied to nine kinematic metrics (including endpoint error, movement time, peak speed, initial jerk, and deviation from a straight line) to assess the effects of teleoperation and expertise. To assess learning effects, t tests between the first and last movements of each type were used. All the users moved slower during teleoperation than during freehand movements (F(1,9343) = 345; p < 0.001). The experienced surgeons had smaller errors than the novices (F(1,14) = 36.8; p < 0.001). The straightness of movements depended on their direction (F(7,9343) = 117; p < 0.001). Learning effects were observed in all conditions. Novice users first learned the task and then the dynamics of the manipulator. The findings showed differences between the novices and the experienced surgeons for extremely simple point-to-point movements. The study demonstrated that manipulator dynamics affect user movements, suggesting that these dynamics could be improved in future robot designs. The authors showed the partial adaptation of novice users to the dynamics. Future studies are needed to evaluate whether it will be beneficial to include early training sessions dedicated to learning the dynamics of the manipulator.

Using a social marketing framework to evaluate recruitment of a prospective study of genetic counseling and testing for the deaf community.

PubMed

Kobayashi, Yoko; Boudreault, Patrick; Hill, Karin; Sinsheimer, Janet S; Palmer, Christina G S

2013-11-25

Recruiting deaf and hard-of-hearing participants, particularly sign language-users, for genetics health service research is challenging due to communication barriers, mistrust toward genetics, and researchers' unfamiliarity with deaf people. Feelings of social exclusion and lack of social cohesion between researchers and the Deaf community are factors to consider. Social marketing is effective for recruiting hard-to-reach populations because it fosters social inclusion and cohesion by focusing on the targeted audience's needs. For the deaf population this includes recognizing their cultural and linguistic diversity, their geography, and their systems for information exchange. Here we use concepts and language from social marketing to evaluate our effectiveness to engage a U.S. deaf population in a prospective, longitudinal genetic counseling and testing study. The study design was interpreted in terms of a social marketing mix of Product, Price, Place, and Promotion. Price addressed linguistic diversity by including a variety of communication technologies and certified interpreters to facilitate communication; Place addressed geography by including community-based participation locations; Promotion addressed information exchange by using multiple recruitment strategies. Regression analyses examined the study design's effectiveness in recruiting a culturally and linguistically diverse sample. 271 individuals were enrolled, with 66.1% American Sign Language (ASL)-users, 19.9% ASL + English-users, 12.6% English-users. Language was significantly associated with communication technology, participation location, and recruitment. Videophone and interpreters were more likely to be used for communication between ASL-users and researchers while voice telephone and no interpreters were preferred by English-users (Price). ASL-users were more likely to participate in community-based locations while English-users preferred medically-based locations (Place). English-users were more likely to be recruited through mass media (Promotion) while ASL-users were more likely to be recruited through community events and to respond to messaging that emphasized inclusion of a Deaf perspective. This study design effectively engaged the deaf population, particularly sign language-users. Results suggest that the deaf population's cultural and linguistic diversity, geography, and forms of information exchange must be taken into account in study designs for successful recruitment. A social marketing approach that incorporates critical social determinants of health provides a novel and important framework for genetics health service research targeting specific, and hard-to-reach, underserved groups.

Using a social marketing framework to evaluate recruitment of a prospective study of genetic counseling and testing for the deaf community

PubMed Central

2013-01-01

Background Recruiting deaf and hard-of-hearing participants, particularly sign language-users, for genetics health service research is challenging due to communication barriers, mistrust toward genetics, and researchers’ unfamiliarity with deaf people. Feelings of social exclusion and lack of social cohesion between researchers and the Deaf community are factors to consider. Social marketing is effective for recruiting hard-to-reach populations because it fosters social inclusion and cohesion by focusing on the targeted audience’s needs. For the deaf population this includes recognizing their cultural and linguistic diversity, their geography, and their systems for information exchange. Here we use concepts and language from social marketing to evaluate our effectiveness to engage a U.S. deaf population in a prospective, longitudinal genetic counseling and testing study. Methods The study design was interpreted in terms of a social marketing mix of Product, Price, Place, and Promotion. Price addressed linguistic diversity by including a variety of communication technologies and certified interpreters to facilitate communication; Place addressed geography by including community-based participation locations; Promotion addressed information exchange by using multiple recruitment strategies. Regression analyses examined the study design’s effectiveness in recruiting a culturally and linguistically diverse sample. Results 271 individuals were enrolled, with 66.1% American Sign Language (ASL)-users, 19.9% ASL + English-users, 12.6% English-users. Language was significantly associated with communication technology, participation location, and recruitment. Videophone and interpreters were more likely to be used for communication between ASL-users and researchers while voice telephone and no interpreters were preferred by English-users (Price). ASL-users were more likely to participate in community-based locations while English-users preferred medically-based locations (Place). English-users were more likely to be recruited through mass media (Promotion) while ASL-users were more likely to be recruited through community events and to respond to messaging that emphasized inclusion of a Deaf perspective. Conclusions This study design effectively engaged the deaf population, particularly sign language-users. Results suggest that the deaf population’s cultural and linguistic diversity, geography, and forms of information exchange must be taken into account in study designs for successful recruitment. A social marketing approach that incorporates critical social determinants of health provides a novel and important framework for genetics health service research targeting specific, and hard-to-reach, underserved groups. PMID:24274380

Lotus Base: An integrated information portal for the model legume Lotus japonicus

PubMed Central

Mun, Terry; Bachmann, Asger; Gupta, Vikas; Stougaard, Jens; Andersen, Stig U.

2016-01-01

Lotus japonicus is a well-characterized model legume widely used in the study of plant-microbe interactions. However, datasets from various Lotus studies are poorly integrated and lack interoperability. We recognize the need for a comprehensive repository that allows comprehensive and dynamic exploration of Lotus genomic and transcriptomic data. Equally important are user-friendly in-browser tools designed for data visualization and interpretation. Here, we present Lotus Base, which opens to the research community a large, established LORE1 insertion mutant population containing an excess of 120,000 lines, and serves the end-user tightly integrated data from Lotus, such as the reference genome, annotated proteins, and expression profiling data. We report the integration of expression data from the L. japonicus gene expression atlas project, and the development of tools to cluster and export such data, allowing users to construct, visualize, and annotate co-expression gene networks. Lotus Base takes advantage of modern advances in browser technology to deliver powerful data interpretation for biologists. Its modular construction and publicly available application programming interface enable developers to tap into the wealth of integrated Lotus data. Lotus Base is freely accessible at: https://lotus.au.dk. PMID:28008948

Precise tracking of remote sensing satellites with the Global Positioning System

NASA Technical Reports Server (NTRS)

Yunck, Thomas P.; Wu, Sien-Chong; Wu, Jiun-Tsong; Thornton, Catherine L.

1990-01-01

The Global Positioning System (GPS) can be applied in a number of ways to track remote sensing satellites at altitudes below 3000 km with accuracies of better than 10 cm. All techniques use a precise global network of GPS ground receivers operating in concert with a receiver aboard the user satellite, and all estimate the user orbit, GPS orbits, and selected ground locations simultaneously. The GPS orbit solutions are always dynamic, relying on the laws of motion, while the user orbit solution can range from purely dynamic to purely kinematic (geometric). Two variations show considerable promise. The first one features an optimal synthesis of dynamics and kinematics in the user solution, while the second introduces a novel gravity model adjustment technique to exploit data from repeat ground tracks. These techniques, to be demonstrated on the Topex/Poseidon mission in 1992, will offer subdecimeter tracking accuracy for dynamically unpredictable satellites down to the lowest orbital altitudes.

Effects of a recovery management intervention on Chinese heroin users' community recovery through the mediation effect of enhanced service utilization.

PubMed

Wu, F; Fu, L M; Hser, Y H

2015-09-01

This study investigates whether a recovery management intervention (RMI) can improve the utilization of community drug treatment and wraparound services among heroin users in China and subsequently lead to positive recovery outcomes. Secondary analysis was conducted drawing data from a randomized controlled trial; 100 heroin users with no severe mental health problems were recruited in two Shanghai districts (Hongkou and Yangpu) upon their release from compulsory rehabilitation facilities. A latent variable modeling approach was utilized to test whether the RMI influences heroin users' perceived motivation and readiness for treatment, enhances treatment and wraparound service participation, and, in turn, predicts better recovery outcomes. Enrollment in drug treatment and other social service utilization increased significantly as a result of RMI rather than an individual drug user's motivation and readiness for treatment. Increased service utilization thus led to more positive individual recovery outcomes. In addition to this mediation effect through service utilization, the RMI also improved participants' community recovery directly. Findings suggest that better drug treatment enrollment, community service utilization and recovery outcomes can be potentially achieved among heroin users in China with carefully designed case management interventions. © The Author 2014. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

POVME 2.0: An Enhanced Tool for Determining Pocket Shape and Volume Characteristics

PubMed Central

2015-01-01

Analysis of macromolecular/small-molecule binding pockets can provide important insights into molecular recognition and receptor dynamics. Since its release in 2011, the POVME (POcket Volume MEasurer) algorithm has been widely adopted as a simple-to-use tool for measuring and characterizing pocket volumes and shapes. We here present POVME 2.0, which is an order of magnitude faster, has improved accuracy, includes a graphical user interface, and can produce volumetric density maps for improved pocket analysis. To demonstrate the utility of the algorithm, we use it to analyze the binding pocket of RNA editing ligase 1 from the unicellular parasite Trypanosoma brucei, the etiological agent of African sleeping sickness. The POVME analysis characterizes the full dynamics of a potentially druggable transient binding pocket and so may guide future antitrypanosomal drug-discovery efforts. We are hopeful that this new version will be a useful tool for the computational- and medicinal-chemist community. PMID:25400521

User-Centered Design Guidelines for Collaborative Software for Intelligence Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Scholtz, Jean; Endert, Alexander

In this position paper we discuss the necessity of using User-Centered Design (UCD) methods in order to design collaborative software for the intelligence community. We discuss a number of studies of collaboration in the intelligence community and use this information to provide some guidelines for collaboration software.

Open Source, Meet "User-Generated Science"

ERIC Educational Resources Information Center

Huwe, Terence K.

2009-01-01

This article discusses Research Blogging, a community-run nonprofit organization that is promoting a suite of blogging software to scholars. Research Blogging itself does two things. First, it extends an invitation to a community, and it is open to anyone. Second, it requires its users to follow guidelines. The combination of rigorous guidelines…

MOOsburg: Multi-User Domain Support for a Community Network.

ERIC Educational Resources Information Center

Carroll, John M.; Rosson, Mary Beth; Isenhour, Philip L.; Van Metre, Christina; Schafer, Wendy A.; Ganoe, Craig H.

2001-01-01

Explains MOOsburg, a community-oriented MOO that models the geography of the town of Blacksburg, Virginia and is designed to be used by local residents. Highlights include the software architecture; client-server communication; spatial database; user interface; interaction; map-based navigation; application development; and future plans. (LRW)

Applying Utility Functions to Adaptation Planning for Home Automation Applications

NASA Astrophysics Data System (ADS)

Bratskas, Pyrros; Paspallis, Nearchos; Kakousis, Konstantinos; Papadopoulos, George A.

A pervasive computing environment typically comprises multiple embedded devices that may interact together and with mobile users. These users are part of the environment, and they experience it through a variety of devices embedded in the environment. This perception involves technologies which may be heterogeneous, pervasive, and dynamic. Due to the highly dynamic properties of such environments, the software systems running on them have to face problems such as user mobility, service failures, or resource and goal changes which may happen in an unpredictable manner. To cope with these problems, such systems must be autonomous and self-managed. In this chapter we deal with a special kind of a ubiquitous environment, a smart home environment, and introduce a user-preference-based model for adaptation planning. The model, which dynamically forms a set of configuration plans for resources, reasons automatically and autonomously, based on utility functions, on which plan is likely to best achieve the user's goals with respect to resource availability and user needs.

Dynamic modeling of hybrid renewable energy systems for off-grid applications

NASA Astrophysics Data System (ADS)

Hasemeyer, Mark David

The volatile prices of fossil fuels and their contribution to global warming have caused many people to turn to renewable energy systems. Many developing communities are forced to use these systems as they are too far from electrical distribution. As a result, numerous software models have been developed to simulate hybrid renewable energy systems. However almost, if not all, implementations are static in design. A static design limits the ability of the model to account for changes over time. Dynamic modeling can be used to fill the gaps where other modeling techniques fall short. This modeling practice allows the user to account for the effects of technological and economic factors over time. These factors can include changes in energy demand, energy production, and income level. Dynamic modeling can be particularly useful for developing communities who are off-grid and developing at rapid rates. In this study, a dynamic model was used to evaluate a real world system. A non-governmental organization interested in improving their current infrastructure was selected. Five different scenarios were analyzed and compared in order to discover which factors the model is most sensitive to. In four of the scenarios, a new energy system was purchased in order to account for the opening of a restaurant that would be used as a source of local income generation. These scenarios were then compared to a base case in which a new system was not purchased, and the restaurant was not opened. Finally, the results were used to determine which variables had the greatest impact on the various outputs of the simulation.

Near-optimal strategies for sub-decimeter satellite tracking with GPS

NASA Technical Reports Server (NTRS)

Yunck, Thomas P.; Wu, Sien-Chong; Wu, Jiun-Tsong

1986-01-01

Decimeter tracking of low Earth orbiters using differential Global Positioning System (GPS) techniques is discussed. A precisely known global network of GPS ground receivers and a receiver aboard the user satellite are needed, and all techniques simultaneously estimate the user and GPS satellite orbits. Strategies include a purely geometric, a fully dynamic, and a hybrid strategy. The last combines dynamic GPS solutions with a geometric user solution. Two powerful extensions of the hybrid strategy show the most promise. The first uses an optimized synthesis of dynamics and geometry in the user solution, while the second uses a gravity adjustment method to exploit data from repeat ground tracks. These techniques promise to deliver subdecimeter accuracy down to the lowest satellite altitudes.

The Rural Wings Project: Bridging the Digital Divide with Satellite-Provided Internet. Phase I--Identifying and Analysing the Learning Needs of 31 Communities in 10 Countries

ERIC Educational Resources Information Center

Hansson, Henrik; Mihailidis, Paul; Larsson, Ken; Sotiriou, Menelaos; Sotiriou, Sofoklis; Uzunoglu, Nikolaos; Gargalakos, Michail

2007-01-01

The digitally marginalised communities are in focus in the EU-funded Rural Wings project 2006-2008. The aim is to identify and analyse the user learning needs in non-connected communities and to meet these needs by providing satellite Internet broadband connections, education and tools. This article reports the findings of the user needs…

Dynamic User Interfaces for Service Oriented Architectures in Healthcare.

PubMed

Schweitzer, Marco; Hoerbst, Alexander

2016-01-01

Electronic Health Records (EHRs) play a crucial role in healthcare today. Considering a data-centric view, EHRs are very advanced as they provide and share healthcare data in a cross-institutional and patient-centered way adhering to high syntactic and semantic interoperability. However, the EHR functionalities available for the end users are rare and hence often limited to basic document query functions. Future EHR use necessitates the ability to let the users define their needed data according to a certain situation and how this data should be processed. Workflow and semantic modelling approaches as well as Web services provide means to fulfil such a goal. This thesis develops concepts for dynamic interfaces between EHR end users and a service oriented eHealth infrastructure, which allow the users to design their flexible EHR needs, modeled in a dynamic and formal way. These are used to discover, compose and execute the right Semantic Web services.

Incorporating profile information in community detection for online social networks

NASA Astrophysics Data System (ADS)

Fan, W.; Yeung, K. H.

2014-07-01

Community structure is an important feature in the study of complex networks. It is because nodes of the same community may have similar properties. In this paper we extend two popular community detection methods to partition online social networks. In our extended methods, the profile information of users is used for partitioning. We apply the extended methods in several sample networks of Facebook. Compared with the original methods, the community structures we obtain have higher modularity. Our results indicate that users' profile information is consistent with the community structure of their friendship network to some extent. To the best of our knowledge, this paper is the first to discuss how profile information can be used to improve community detection in online social networks.

The relationship between community structural characteristics, the context of crack use and HIV risk behaviors in San Salvador, El Salvador1

PubMed Central

Dickson-Gomez, Julia; McAuliffe, Timothy; de Mendoza, Lorena Rivas; Glasman, Laura; Gaborit, Mauricio

2012-01-01

This paper explores community structural factors in different low-income communities in the San Salvador, El Salvador that account for differences in the social context in which crack is used and in the HIV risk behaviors among crack users. Results suggest that both more distal (type of low-income community, level of violent crime and poverty) and proximate structural factors (type of site where drugs are used, and whether drugs are used within or outside of community of residence) influence HIV risk behaviors among drug users. Additionally, our results suggest that community structural factors influence the historical and geographic variation in drug use sites. PMID:22217125

Unidata: 30 Years of FOSS for the Geosciences

NASA Astrophysics Data System (ADS)

Davis, E.; Ramamurthy, M. K.; Young, J. W.; Fisher, W. I.; Rew, R. K.

2015-12-01

Unidata's core mission is to serve academic research and education communities by facilitating access and use of real-time weather data. To this end, Unidata develops, distributes, and supports several Free and Open Source Software (FOSS) packages. These packages are largely focused on data management, access, analysis and visualization. This presentation will discuss the lessons Unidata has gathered over thirty years of FOSS development, support, and community building. These lessons include what it takes to be a successful FOSS organization, how to adapt to changing "best practices" and the emergence of new FOSS tools and services, and techniques for dealing with software end-of-life. We will also discuss our approach when supporting a varied user community spanning end users and software developers. Strong user support has been an important key to Unidata's successful community building.

NASA's EOSDIS Approach to Big Earth Data Challenges

NASA Astrophysics Data System (ADS)

Lowe, D. R.; Behnke, J.; Murphy, K. J.

2014-12-01

Over the past 20 years, NASA has been committed to making our Earth Science data more useable and accessible, not only to the community of NASA science researchers, but also to the world-wide public research community. The data collected by NASA's remote sensing instruments represent a significant public investment in research. NASA holds these data in a public trust to promote comprehensive, long-term Earth science research. The Earth Observing System Data & Information System (EOSDIS) was established to meet this goal. From the beginning, NASA employed a free, open and non-discriminatory data policy to maximize the global utilization of the products derived from NASA's observational data and related analyses. EOSDIS is designed to ingest, process, archive, and distribute data in a multi-mission environment. The system supports a wide variety of Earth science disciplines, including cryosphere, land cover change, radiation budget, atmosphere dynamics and composition, as well as inter-disciplinary research, including global climate change. A distributed architecture was adopted to ensure discipline-specific support for the science data, while also leveraging standards and establishing policies and tools to enable interdisciplinary research, and analysis across multiple instruments. Over the past 2 decades the EOSDIS has evolved substantially. Today's EOSDIS is a tightly coupled, yet heterogeneous system designed to meet the requirements of a diverse user community. The system was scaled to expand to meet the ever-growing volume of data (currently ~10 petabytes), and the exponential increase in user demand that has occurred over the past 15 years. We will present how the EOSDIS has evolved to support the variety and volume of NASA's Earth Science data.

A guide to statistical analysis in microbial ecology: a community-focused, living review of multivariate data analyses.

PubMed

Buttigieg, Pier Luigi; Ramette, Alban

2014-12-01

The application of multivariate statistical analyses has become a consistent feature in microbial ecology. However, many microbial ecologists are still in the process of developing a deep understanding of these methods and appreciating their limitations. As a consequence, staying abreast of progress and debate in this arena poses an additional challenge to many microbial ecologists. To address these issues, we present the GUide to STatistical Analysis in Microbial Ecology (GUSTA ME): a dynamic, web-based resource providing accessible descriptions of numerous multivariate techniques relevant to microbial ecologists. A combination of interactive elements allows users to discover and navigate between methods relevant to their needs and examine how they have been used by others in the field. We have designed GUSTA ME to become a community-led and -curated service, which we hope will provide a common reference and forum to discuss and disseminate analytical techniques relevant to the microbial ecology community. © 2014 The Authors. FEMS Microbiology Ecology published by John Wiley & Sons Ltd on behalf of Federation of European Microbiological Societies.

Dissemination and support of ARGUS for accelerator applications

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

The ARGUS code is a three-dimensional code system for simulating for interactions between charged particles, electric and magnetic fields, and complex structure. It is a system of modules that share common utilities for grid and structure input, data handling, memory management, diagnostics, and other specialized functions. The code includes the fields due to the space charge and current density of the particles to achieve a self-consistent treatment of the particle dynamics. The physic modules in ARGUS include three-dimensional field solvers for electrostatics and electromagnetics, a three-dimensional electromagnetic frequency-domain module, a full particle-in-cell (PIC) simulation module, and a steady-state PIC model.more » These are described in the Appendix to this report. This project has a primary mission of developing the capabilities of ARGUS in accelerator modeling of release to the accelerator design community. Five major activities are being pursued in parallel during the first year of the project. To improve the code and/or add new modules that provide capabilities needed for accelerator design. To produce a User's Guide that documents the use of the code for all users. To release the code and the User's Guide to accelerator laboratories for their own use, and to obtain feed-back from the. To build an interactive user interface for setting up ARGUS calculations. To explore the use of ARGUS on high-power workstation platforms.« less

NASA's Global Change Master Directory: Discover and Access Earth Science Data Sets, Related Data Services, and Climate Diagnostics

NASA Technical Reports Server (NTRS)

Aleman, Alicia; Olsen, Lola; Ritz, Scott; Morahan, Michael; Cepero, Laurel; Stevens, Tyler

2011-01-01

NASA's Global Change Master Directory provides the scientific community with the ability to discover, access, and use Earth science data, data-related services, and climate diagnostics worldwide. The GCMD offers descriptions of Earth science data sets using the Directory Interchange Format (DIF) metadata standard; Earth science related data services are described using the Service Entry Resource Format (SERF); and climate visualizations are described using the Climate Diagnostic (CD) standard. The DIF, SERF and CD standards each capture data attributes used to determine whether a data set, service, or climate visualization is relevant to a user's needs. Metadata fields include: title, summary, science keywords, service keywords, data center, data set citation, personnel, instrument, platform, quality, related URL, temporal and spatial coverage, data resolution and distribution information. In addition, nine valuable sets of controlled vocabularies have been developed to assist users in normalizing the search for data descriptions. An update to the GCMD's search functionality is planned to further capitalize on the controlled vocabularies during database queries. By implementing a dynamic keyword "tree", users will have the ability to search for data sets by combining keywords in new ways. This will allow users to conduct more relevant and efficient database searches to support the free exchange and re-use of Earth science data. http://gcmd.nasa.gov/

Parallel community climate model: Description and user`s guide

DOE Office of Scientific and Technical Information (OSTI.GOV)

Drake, J.B.; Flanery, R.E.; Semeraro, B.D.

This report gives an overview of a parallel version of the NCAR Community Climate Model, CCM2, implemented for MIMD massively parallel computers using a message-passing programming paradigm. The parallel implementation was developed on an Intel iPSC/860 with 128 processors and on the Intel Delta with 512 processors, and the initial target platform for the production version of the code is the Intel Paragon with 2048 processors. Because the implementation uses a standard, portable message-passing libraries, the code has been easily ported to other multiprocessors supporting a message-passing programming paradigm. The parallelization strategy used is to decompose the problem domain intomore » geographical patches and assign each processor the computation associated with a distinct subset of the patches. With this decomposition, the physics calculations involve only grid points and data local to a processor and are performed in parallel. Using parallel algorithms developed for the semi-Lagrangian transport, the fast Fourier transform and the Legendre transform, both physics and dynamics are computed in parallel with minimal data movement and modest change to the original CCM2 source code. Sequential or parallel history tapes are written and input files (in history tape format) are read sequentially by the parallel code to promote compatibility with production use of the model on other computer systems. A validation exercise has been performed with the parallel code and is detailed along with some performance numbers on the Intel Paragon and the IBM SP2. A discussion of reproducibility of results is included. A user`s guide for the PCCM2 version 2.1 on the various parallel machines completes the report. Procedures for compilation, setup and execution are given. A discussion of code internals is included for those who may wish to modify and use the program in their own research.« less

MycoCosm, an Integrated Fungal Genomics Resource

DOE Office of Scientific and Technical Information (OSTI.GOV)

Shabalov, Igor; Grigoriev, Igor

2012-03-16

MycoCosm is a web-based interactive fungal genomics resource, which was first released in March 2010, in response to an urgent call from the fungal community for integration of all fungal genomes and analytical tools in one place (Pan-fungal data resources meeting, Feb 21-22, 2010, Alexandria, VA). MycoCosm integrates genomics data and analysis tools to navigate through over 100 fungal genomes sequenced at JGI and elsewhere. This resource allows users to explore fungal genomes in the context of both genome-centric analysis and comparative genomics, and promotes user community participation in data submission, annotation and analysis. MycoCosm has over 4500 unique visitors/monthmore » or 35000+ visitors/year as well as hundreds of registered users contributing their data and expertise to this resource. Its scalable architecture allows significant expansion of the data expected from JGI Fungal Genomics Program, its users, and integration with external resources used by fungal community.« less

Emergent user behavior on Twitter modelled by a stochastic differential equation.

PubMed

Mollgaard, Anders; Mathiesen, Joachim

2015-01-01

Data from the social-media site, Twitter, is used to study the fluctuations in tweet rates of brand names. The tweet rates are the result of a strongly correlated user behavior, which leads to bursty collective dynamics with a characteristic 1/f noise. Here we use the aggregated "user interest" in a brand name to model collective human dynamics by a stochastic differential equation with multiplicative noise. The model is supported by a detailed analysis of the tweet rate fluctuations and it reproduces both the exact bursty dynamics found in the data and the 1/f noise.

Emergent User Behavior on Twitter Modelled by a Stochastic Differential Equation

PubMed Central

Mollgaard, Anders; Mathiesen, Joachim

2015-01-01

Data from the social-media site, Twitter, is used to study the fluctuations in tweet rates of brand names. The tweet rates are the result of a strongly correlated user behavior, which leads to bursty collective dynamics with a characteristic 1/f noise. Here we use the aggregated "user interest" in a brand name to model collective human dynamics by a stochastic differential equation with multiplicative noise. The model is supported by a detailed analysis of the tweet rate fluctuations and it reproduces both the exact bursty dynamics found in the data and the 1/f noise. PMID:25955783

Articulation Research System: A New Direction in Curriculum Evaluation. User's Manual.

ERIC Educational Resources Information Center

Gilbert, Russell; Delaino, G. Thomas

This user's manual explains the Articulation Research System (ARS), which was created by Santa Fe Community College, and its database. As introductory material notes, the ARS was designed to: (1) follow former community college students through their bachelor's degree programs in the Florida State University System (SUS); (2) compare student…

Educational MOO: Text-Based Virtual Reality for Learning in Community. ERIC Digest.

ERIC Educational Resources Information Center

Turbee, Lonnie

MOO stands for "Multi-user domain, Object-Oriented." Early multi-user domains, or "MUDs," began as net-based dungeons-and-dragons type games, but MOOs have evolved from these origins to become some of cyberspace's most fascinating and engaging online communities. MOOs are social environments in a text-based virtual reality…

The Benefits and Limitations of Social Networking

ERIC Educational Resources Information Center

Strom, Paris; Strom, Robert

2012-01-01

The Center for the Digital Future at the University of Southern California surveys 2,000 households each year to find out how online technology affects Internet users. Findings in the latest report show social networks are increasing and a majority of users report feeling as strongly about their communities online as their real-world communities.…

CEOS Land Surface Imaging Constellation Mid-Resolution Optical Guidelines

NASA Technical Reports Server (NTRS)

Keyes, Jennifer P.; Killough, B.

2011-01-01

The LSI community of users is large and varied. To reach all these users as well as potential instrument contributors this document has been organized by measurement parameters of interest such as Leaf Area Index and Land Surface Temperature. These measurement parameters and the data presented in this document are drawn from multiple sources, listed at the end of the document, although the two primary ones are "The Space-Based Global Observing System in 2010 (GOS-2010)" that was compiled for the World Meteorological Organization (WMO) by Bizzarro Bizzarri, and the CEOS Missions, Instruments, and Measurements online database (CEOS MIM). For each measurement parameter the following topics will be discussed: (1) measurement description, (2) applications, (3) measurement spectral bands, and (4) example instruments and mission information. The description of each measurement parameter starts with a definition and includes a graphic displaying the relationships to four general land surface imaging user communities: vegetation, water, earth, and geo-hazards, since the LSI community of users is large and varied. The vegetation community uses LSI data to assess factors related to topics such as agriculture, forest management, crop type, chlorophyll, vegetation land cover, and leaf or canopy differences. The water community analyzes snow and lake cover, water properties such as clarity, and body of water delineation. The earth community focuses on minerals, soils, and sediments. The geo-hazards community is designed to address and aid in emergencies such as volcanic eruptions, forest fires, and large-scale damaging weather-related events.

A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence.

PubMed

Alphy, Anna; Prabakaran, S

2015-01-01

In modern days, to enrich e-business, the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper, to address these issues, a WebBluegillRecom-annealing dynamic recommender system that uses web usage mining techniques in tandem with software agents developed for providing dynamic recommendations to users that can be used for customizing a website is proposed. The proposed WebBluegillRecom-annealing dynamic recommender uses swarm intelligence from the foraging behavior of a bluegill fish. It overcomes the information overload by handling dynamic behaviors of users. Our dynamic recommender system was compared against traditional collaborative filtering systems. The results show that the proposed system has higher precision, coverage, F1 measure, and scalability than the traditional collaborative filtering systems. Moreover, the recommendations given by our system overcome the overspecialization problem by including variety in recommendations.

A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence

PubMed Central

Alphy, Anna; Prabakaran, S.

2015-01-01

In modern days, to enrich e-business, the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper, to address these issues, a WebBluegillRecom-annealing dynamic recommender system that uses web usage mining techniques in tandem with software agents developed for providing dynamic recommendations to users that can be used for customizing a website is proposed. The proposed WebBluegillRecom-annealing dynamic recommender uses swarm intelligence from the foraging behavior of a bluegill fish. It overcomes the information overload by handling dynamic behaviors of users. Our dynamic recommender system was compared against traditional collaborative filtering systems. The results show that the proposed system has higher precision, coverage, F1 measure, and scalability than the traditional collaborative filtering systems. Moreover, the recommendations given by our system overcome the overspecialization problem by including variety in recommendations. PMID:26229978

Nasa's Experiences Enabling the Capture and Sharing of Technical Expertise Through Communities of Practice

NASA Astrophysics Data System (ADS)

Topousis, Daria E.; Dennehy, Cornelius J.; Lebsock, Kenneth L.

2012-12-01

Historically, engineers at the National Aeronautics and Space Administration (NASA) had few opportunities or incentives to share their technical expertise across the Agency. Its center- and project-focused culture often meant that knowledge never left organizational and geographic boundaries. The need to develop a knowledge sharing culture became critical as a result of increasingly complex missions, closeout of the Shuttle Program, and a new generation of engineers entering the workforce. To address this need, the Office of the Chief Engineer established communities of practice on the NASA Engineering Network. These communities were strategically aligned with NASA's core competencies in such disciplines as avionics, flight mechanics, life support, propulsion, structures, loads and dynamics, human factors, and guidance, navigation, and control. This paper is a case study of NASA's implementation of a system that would identify and develop communities, from establishing simple websites that compiled discipline-specific resources to fostering a knowledge-sharing environment through collaborative and interactive technologies. It includes qualitative evidence of improved availability and transfer of knowledge. It focuses on capabilities that increased knowledge exchange such as a custom-made Ask An Expert system, community contact lists, publication of key resources, and submission forms that allowed any user to propose content for the sites. It discusses the peer relationships that developed through the communities and the leadership and infrastructure that made them possible.

Tracking changes of river morphology in Ayeyarwady River in Myanmar using earth observations and surface water mapping tool

NASA Astrophysics Data System (ADS)

Piman, T.; Schellekens, J.; Haag, A.; Donchyts, G.; Apirumanekul, C.; Hlaing, K. T.

2017-12-01

River morphology changes is one of the key issues in Ayeyarwady River in Myanmar which cause impacts on navigation, riverine habitats, agriculture lands, communities and livelihoods near the bank of the river. This study is aimed to track the changes in river morphology in the middle reach of Ayeyarwady River over last 30 years from 1984-2014 to improve understanding of riverbank dynamic, erosion and deposition procress. Earth observations including LandSat-7, LandSat-8, Digital Elevation Model from SRTM Plus and, ASTER-2 GoogleMap and Open Street Map were obtained for the study. GIS and remote sensing tools were used to analyze changes in river morphology while surface water mapping tool was applied to determine how the dynamic behaviour of the surface river and effect of river morphology changes. The tool consists of two components: (1) a Google Earth Engine (GEE) javascript or python application that performs image analysis and (2) a user-friendly site/app using Google's appspot.com that exposes the application to the users. The results of this study shown that the fluvial morphology in the middle reach of Ayeyarwady River is continuously changing under the influence of high water flows in particularly from extreme flood events and land use change from mining and deforestation. It was observed that some meandering sections of the riverbank were straightened, which results in the movement of sediment downstream and created new sections of meandering riverbank. Several large islands have formed due to the stabilization by vegetation and is enforced by sedimentation while many small bars were formed and migrated dynamically due to changes in water levels and flow velocity in the wet and dry seasons. The main channel was changed to secondary channel in some sections of the river. This results a constant shift of the navigation route. We also found that some villages were facing riverbank erosion which can force villagers to relocate. The study results demonstrated that the products from earth observations and the surface water mapping tool could detect dynamic changes of river morphology in the Ayeyarwady River. This information is useful to support navigation and riverbank protection planning and formulating mitigation measures for local communities that are affecting by riverbank erosion.

CloudSat Level 3 Gridded Products: Introduction and Application to Evaluation of the MERRA-2 Reanalysis

NASA Astrophysics Data System (ADS)

Haynes, J. M.; Miller, S. D.; Partain, P.

2016-12-01

CloudSat mission data are currently available to the science community in the form of granule-level, single-orbit Level 2 products. Although this is useful for process-level studies and investigation of individual radar profiles, it is less convenient for regional studies or investigations requiring that cloud properties be aggregated over long periods of time. This aggregation process is not necessary straight-forward: it must be tailored to the specific data product and scientific data contained therein, it requires large amounts of data transfer, and care must be taken to perform the aggregation only on statistically significant spatial and temporal scales. To make CloudSat data more accessible to the broader scientific community and in order to better preserve the environmental data record, a suite of Level 3 (L3), gridded data products are being developed by the CloudSat Data Processing Center (DPC). These products are being developed in four broad categories: (1) radiation budget, (2) radar reflectivity, (3) precipitation incidence and type, and (4) microphysics. L3 products will be generated on both standard (i.e. fixed resolution) grids, and dynamically with user-configurable grid spacing and timescales via an online user interface. An important distinction of the current L3 development is in its usage of dynamically configurable histograms, allowing for representation of the detailed, non-Gaussian characteristics of the data distribution. This work serves to both introduce these products to the wider scientific community and demonstrate their utility for model and reanalysis evaluation. Toward the latter goal, an analysis of the new Modern Era Retrospective-Analysis for Research and Applications version 2 (MERRA-2) cloud products is performed using a development version of the CloudSat L3 products. L3 products are used to evaluate near-global cloud fraction, optical depth, cloud liquid and ice water content, shortwave and longwave cloud radiative effects, and precipitation occurrence. These results are then contrasted against the corresponding MERRA-2 fields, and the differences are explored in terms of potential improvements and/or shortcomings in both the reanalysis and observational products.

Modeling the heterogeneity of human dynamics based on the measurements of influential users in Sina Microblog

NASA Astrophysics Data System (ADS)

Wang, Chenxu; Guan, Xiaohong; Qin, Tao; Yang, Tao

2015-06-01

Online social network has become an indispensable communication tool in the information age. The development of microblog also provides us a great opportunity to study human dynamics that play a crucial role in the design of efficient communication systems. In this paper we study the characteristics of the tweeting behavior based on the data collected from Sina Microblog. The user activity level is measured to characterize how often a user posts a tweet. We find that the user activity level follows a bimodal distribution. That is, the microblog users tend to be either active or inactive. The inter-tweeting time distribution is then measured at both the aggregate and individual levels. We find that the inter-tweeting time follows a piecewise power law distribution of two tails. Furthermore, the exponents of the two tails have different correlations with the user activity level. These findings demonstrate that the dynamics of the tweeting behavior are heterogeneous in different time scales. We then develop a dynamic model co-driven by the memory and the interest mechanism to characterize the heterogeneity. The numerical simulations validate the model and verify that the short time interval tweeting behavior is driven by the memory mechanism while the long time interval behavior by the interest mechanism.

Player guild dynamics and evolution in massively multiplayer online games.

PubMed

Chen, Chien-Hsun; Sun, Chuen-Tsai; Hsieh, Jilung

2008-06-01

In the latest versions of massively multiplayer online games (MMOGs), developers have purposefully made guilds part of game environments. Guilds represent a powerful method for giving players a sense of online community, but there is little quantitative data on guild dynamics. To address this topic, we took advantage of a feature found in one of today's most popular MMOGs (World of Warcraft) to collect in-game data: user interfaces that players can modify and refine. In addition to collecting data on in-game player activities, we used this feature to observe and investigate how players join and leave guilds. Data were analyzed for the purpose of identifying factors that propel game-world guild dynamics and evolution. After collecting data for 641,805 avatars on 62 Taiwanese World of Warcraft game servers between February 10 and April 10, 2006, we created five guild type categories (small, large, elite, newbie, and unstable) that have different meanings in terms of in-game group dynamics. By viewing players as the most important resource affecting guild life cycles, it is possible to analyze game worlds as ecosystems consisting of evolving guilds and to study how guild life cycles reflect game world characteristics.

Perceptions of Community Benefits from Two Wild and Scenic Rivers

NASA Astrophysics Data System (ADS)

Smith, Jordan W.; Moore, Roger L.

2011-05-01

Wild and Scenic Rivers provide a host of psychological, social, ecological, and economic benefits to local communities. In this study, we use data collected from recreational users of two Wild and Scenic Rivers to examine perceptions of the benefits provided by the rivers to local communities. Our purposes are (1) to determine if similar perceptions of community benefits exist across the two rivers, (2) to determine if individuals' proximity to the rivers are related to the benefits they perceive, (3) to determine if individuals' prior recreation experience on the river is related to variations in perceived benefits, (4) to determine if users' sociodemographic characteristics are related to perceived community benefits, and (5) to determine if the influence of these characteristics on perceived community benefits is similar across the two resource areas. Perceived benefits were found to be analogous across both rivers as individuals consistently ranked ecological/affective benefits as well as tangible benefits similarly. Recreationists living further from the river ranked ecological and affective benefits as significantly less important than those individuals living closer to the river. Women perceived the community benefits produced by the resource areas to be significantly more important when compared to men. Significant relationships were also found between perceived benefits and recreationists' previous use of the river, their age, and their level of education. With the exception of resource proximity and prior use history, the effects of user characteristics on perceived community benefits were not statistically different across the two rivers. These findings imply similar patterns of perceived community benefits exist across distinct resource areas and that the relationships between user characteristics and perceived benefits are also similar across the study rivers.

Tackling community integration in mental health home visit integration in Finland.

PubMed

Raitakari, Suvi; Haahtela, Riikka; Juhila, Kirsi

2016-09-01

Integration - and its synonym inclusion - is emphasised in the western welfare states and in the European Union in particular. Integration is also a central topic in the social sciences and in current mental health and homelessness research and practice. As mental healthcare has shifted from psychiatric hospitals to the community, it has inevitably become involved with housing and integration issues. This article explores how community integration is understood and tackled in mental health floating support services (FSSs) and, more precisely, in service user-practitioner home visit interaction. The aim, through shedding light on how the idea of integration is present and discussed in front-line mental health practices, is to offer a 'template' on how we might, in a systematic and reflective way, develop community integration research and practice. The analysis is based on ethnomethodological and micro-sociological interaction research. The research settings are two FSSs located in a large Finnish city. The data contain 24 audio-recorded and transcribed home visits conducted in 2011 and 2012 with 16 different service users. The study shows how the participants in service user-practitioner interaction give meaning to community integration and make decisions about how it should (or should not) be enhanced in each individual case. This activity is called community integration work in action. Community integration work in action is based on various dimensions of integration: getting out of the house, participating in group activities and getting along with those involved in one's life and working life. Additionally, the analysis demonstrates how community integration work is accomplished by discursive devices (resistance, positioning, excuses and justifications, delicacy and advice-giving). The article concludes that community integration is about interaction: it is not only service users' individual challenge but also a social challenge, our challenge. © 2015 John Wiley & Sons Ltd.

Multi-Sector Sustainability Browser (MSSB) User Manual: A ...

EPA Pesticide Factsheets

EPA’s Sustainable and Healthy Communities (SHC) Research Program is developing methodologies, resources, and tools to assist community members and local decision makers in implementing policy choices that facilitate sustainable approaches in managing their resources affecting the built environment, natural environment, and human health. In order to assist communities and decision makers in implementing sustainable practices, EPA is developing computer-based systems including models, databases, web tools, and web browsers to help communities decide upon approaches that support their desired outcomes. Communities need access to resources that will allow them to achieve their sustainability objectives through intelligent decisions in four key sustainability areas: • Land Use • Buildings and Infrastructure • Transportation • Materials Management (i.e., Municipal Solid Waste [MSW] processing and disposal) The Multi-Sector Sustainability Browser (MSSB) is designed to support sustainable decision-making for communities, local and regional planners, and policy and decision makers. Document is an EPA Technical Report, which is the user manual for the Multi-Sector Sustainability Browser (MSSB) tool. The purpose of the document is to provide basic guidance on use of the tool for users

The impact of realignment on utilization and cost of community-based mental health services in California.

PubMed

Scheffler, R; Zhang, A; Snowden, L

2001-11-01

Decentralization of California's public mental health system under program realignment has changed the utilization and cost of community-based mental health services. This study examined a sample of 75,951 users, representing 1.5 million adults who visited California's public mental health services during a 6-year period (FY 1988-1990 and FY 1992-1994). Regression analysis was performed to examine cost and utilization reduction over time, across regions, and across psychiatric diagnoses. Overall utilization and cost of community-based mental health services dropped significantly after the implementation of realignment. They were significantly lower for (a) 24-hour services in the urban industrialized Southern Region and (b) outpatient services in the agricultural Central Region of the state. Users diagnosed with mood disorders took a greater portion, but were associated with significantly less treatment and cost than other users in the post-realignment period. When local communities bear the financial risks and rewards, they find more efficient methods of delivering community-based mental health services.

Evolution of the EOSDIS Data User Communities

NASA Astrophysics Data System (ADS)

Krupp, B. M.; Murphy, K. J.; Wanchoo, L.; Chang, H.

2011-12-01

Since NASA's EOS Terra platform began operations in early FY2000, data centers affiliated with the EOS Data and Information System (EOSDIS) have distributed over 12.8 Petabytes (PB) and 1.2 billion files of data to over 2.3 million distinct users through the end of FY2010. Metrics on data ingest, archive, and distribution have been collected throughout the EOS era by different automated systems. The functionality of these systems has improved over the years, allowing more types of metrics analyses to be made with greater precision. The ESDIS Metrics System (EMS) replaced the earlier ESDIS Data Gathering and Reporting System (EDGRS) in FY2005. Since then it has collected increasingly more accurate information about data users obtaining products from the many EOSDIS data centers. The information allows characterization of the various EOSDIS user communities, and enables studies of how these communities have changed over time. User information obtained when an order is placed, or products are downloaded from a data center's FTP site, include the user's IP host (or IP address) and email address. The EMS system is able to resolve most IP addresses to specific domains. Combined with science discipline information associated with the data products themselves, users and data distributions to them can be characterized in a number of ways, including by countries, disciplines (e.g. Atmosphere, Ocean, Land), and [most readily for the United States] affiliations (Government, Education, Non-profit, or Commercial). The purpose of this investigation is to analyze patterns of data distributions within the different user groups mentioned above and to trace their evolution over time. Results show, for example, that the number of foreign users has increased greatly over the years, as has the number of countries receiving EOSDIS data products. These kinds of studies can be very useful to the various data centers. By gaining a better understanding of how their user communities are evolving, and how patterns of data product distributions are changing, data centers will be better able to serve the needs of the users.

Interface Metaphors for Interactive Machine Learning

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jasper, Robert J.; Blaha, Leslie M.

To promote more interactive and dynamic machine learn- ing, we revisit the notion of user-interface metaphors. User-interface metaphors provide intuitive constructs for supporting user needs through interface design elements. A user-interface metaphor provides a visual or action pattern that leverages a user’s knowledge of another domain. Metaphors suggest both the visual representations that should be used in a display as well as the interactions that should be afforded to the user. We argue that user-interface metaphors can also offer a method of extracting interaction-based user feedback for use in machine learning. Metaphors offer indirect, context-based information that can be usedmore » in addition to explicit user inputs, such as user-provided labels. Implicit information from user interactions with metaphors can augment explicit user input for active learning paradigms. Or it might be leveraged in systems where explicit user inputs are more challenging to obtain. Each interaction with the metaphor provides an opportunity to gather data and learn. We argue this approach is especially important in streaming applications, where we desire machine learning systems that can adapt to dynamic, changing data.« less

Method and System for Dynamic Automated Corrections to Weather Avoidance Routes for Aircraft in En Route Airspace

NASA Technical Reports Server (NTRS)

McNally, B. David (Inventor); Erzberger, Heinz (Inventor); Sheth, Kapil (Inventor)

2015-01-01

A dynamic weather route system automatically analyzes routes for in-flight aircraft flying in convective weather regions and attempts to find more time and fuel efficient reroutes around current and predicted weather cells. The dynamic weather route system continuously analyzes all flights and provides reroute advisories that are dynamically updated in real time while the aircraft are in flight. The dynamic weather route system includes a graphical user interface that allows users to visualize, evaluate, modify if necessary, and implement proposed reroutes.

Pro-anorexia and pro-recovery photo sharing: a tale of two warring tribes.

PubMed

Yom-Tov, Elad; Fernandez-Luque, Luis; Weber, Ingmar; Crain, Steven P

2012-11-07

There is widespread use of the Internet to promote anorexia as a lifestyle choice. Pro-anorexia content can be harmful for people affected or at risk of having anorexia. That movement is actively engaged in sharing photos on social networks such as Flickr. To study the characteristics of the online communities engaged in disseminating content that encourages eating disorders (known as "pro-anorexia") and to investigate if the posting of such content is discouraged by the posting of recovery-oriented content. The extraction of pro-anorexia and pro-recovery photographs from the photo sharing site Flickr pertaining to 242,710 photos from 491 users and analyzing four separate social networks therein. Pro-anorexia and pro-recovery communities interact to a much higher degree among themselves than what is expected from the distribution of contacts (only 59-72% of contacts but 74-83% of comments are made to members inside the community). Pro-recovery users employ similar words to those used by pro-anorexia users to describe their photographs, possibly in order to ensure that their content appears when pro-anorexia users search for images. Pro-anorexia users who are exposed to comments from the opposite camp are less likely to cease posting pro-anorexia photographs than those who do not receive such comments (46% versus 61%), and if they cease, they do so approximately three months later. Our observations show two highly active communities, where most interaction is within each community. However, the pro-recovery community takes steps to ensure that their content is visible to the pro-anorexia community, both by using textual descriptions of their photographs that are similar to those used by the pro-anorexia group and by commenting to pro-anorexia content. The latter activity is, however, counterproductive, as it entrenches pro-anorexia users in their stance. Our results highlight the nature of pro-anorexia and pro-recovery photo sharing and accentuate the need for clinicians to be aware of such content and its effect on their patients. Our findings suggest that some currently used interventions are not useful in helping pro-anorexia users recover. Thus, future work should focus on new intervention methods, possibly tailored to individual characteristics.

Pro-Anorexia and Pro-Recovery Photo Sharing: A Tale of Two Warring Tribes

PubMed Central

Yom-Tov, Elad; Weber, Ingmar; Crain, Steven P

2012-01-01

Background There is widespread use of the Internet to promote anorexia as a lifestyle choice. Pro-anorexia content can be harmful for people affected or at risk of having anorexia. That movement is actively engaged in sharing photos on social networks such as Flickr. Objective To study the characteristics of the online communities engaged in disseminating content that encourages eating disorders (known as “pro-anorexia”) and to investigate if the posting of such content is discouraged by the posting of recovery-oriented content. Methods The extraction of pro-anorexia and pro-recovery photographs from the photo sharing site Flickr pertaining to 242,710 photos from 491 users and analyzing four separate social networks therein. Results Pro-anorexia and pro-recovery communities interact to a much higher degree among themselves than what is expected from the distribution of contacts (only 59-72% of contacts but 74-83% of comments are made to members inside the community). Pro-recovery users employ similar words to those used by pro-anorexia users to describe their photographs, possibly in order to ensure that their content appears when pro-anorexia users search for images. Pro-anorexia users who are exposed to comments from the opposite camp are less likely to cease posting pro-anorexia photographs than those who do not receive such comments (46% versus 61%), and if they cease, they do so approximately three months later. Our observations show two highly active communities, where most interaction is within each community. However, the pro-recovery community takes steps to ensure that their content is visible to the pro-anorexia community, both by using textual descriptions of their photographs that are similar to those used by the pro-anorexia group and by commenting to pro-anorexia content. The latter activity is, however, counterproductive, as it entrenches pro-anorexia users in their stance. Conclusions Our results highlight the nature of pro-anorexia and pro-recovery photo sharing and accentuate the need for clinicians to be aware of such content and its effect on their patients. Our findings suggest that some currently used interventions are not useful in helping pro-anorexia users recover. Thus, future work should focus on new intervention methods, possibly tailored to individual characteristics. PMID:23134671

Parent use of touchscreen computer kiosks for child health promotion in community settings.

PubMed

Thompson, Darcy A; Lozano, Paula; Christakis, Dimitri A

2007-03-01

The goals were to evaluate the use of touchscreen computer kiosks, containing only child health-promoting information, in urban, low-income, community settings and to characterize the users of these kiosks. Three user-driven touchscreen computer kiosks were placed in low-income urban locations in Seattle, Washington, from March 2005 to October 2005. The locations included a public library, a Department of Motor Vehicles office, and a McDonald's restaurant. Users selected age-appropriate modules with prevention information and screening tools. Users entered the age of the child and were presented with age-appropriate modules. On exiting, users were asked to rate their experience and to provide basic demographic data. In total, there were 1846 kiosk sessions. Almost one half occurred at McDonald's. Seventy-eight percent of users identified themselves as first-time users. Users sought information for children of all ages. Sixty-one percent of first-time users explored 1 module. First-time users were most interested in television/media use (16%), smoke exposure (14%), attention-deficit/hyperactivity disorder screening (12%), and asthma assessment (11%). At-risk children were identified in 52% of sessions. Eighty-seven percent of first-time users who completed the asthma assessment had children whose asthma was uncontrolled. Twenty-eight percent of users responded to > or = 1 question on the exit survey. Of those, 48% had less than a high school education, and 26% had never used the Internet. Approximately one half found the kiosk easy to use (57%) and the information easy to understand (55%); 66% said there was at least some new information. Fifty-five percent planned to try some of the things they had learned, and 49% intended to talk to their child's doctor about what they had learned. User-driven computer kiosks were used in community settings to obtain child health information. Users found the kiosks easy to use. Additional study on improving use and understanding the impact is needed.

The GEOSS User Requirement Registry (URR): A Cross-Cutting Service-Oriented Infrastructure Linking Science, Society and GEOSS

NASA Astrophysics Data System (ADS)

Plag, H.-P.; Foley, G.; Jules-Plag, S.; Ondich, G.; Kaufman, J.

2012-04-01

The Group on Earth Observations (GEO) is implementing the Global Earth Observation System of Systems (GEOSS) as a user-driven service infrastructure responding to the needs of users in nine interdependent Societal Benefit Areas (SBAs) of Earth observations (EOs). GEOSS applies an interdisciplinary scientific approach integrating observations, research, and knowledge in these SBAs in order to enable scientific interpretation of the collected observations and the extraction of actionable information. Using EOs to actually produce these societal benefits means getting the data and information to users, i.e., decision-makers. Thus, GEO needs to know what the users need and how they would use the information. The GEOSS User Requirements Registry (URR) is developed as a service-oriented infrastructure enabling a wide range of users, including science and technology (S&T) users, to express their needs in terms of EOs and to understand the benefits of GEOSS for their fields. S&T communities need to be involved in both the development and the use of GEOSS, and the development of the URR accounts for the special needs of these communities. The GEOSS Common Infrastructure (GCI) at the core of GEOSS includes system-oriented registries enabling users to discover, access, and use EOs and derived products and services available through GEOSS. In addition, the user-oriented URR is a place for the collection, sharing, and analysis of user needs and EO requirements, and it provides means for an efficient dialog between users and providers. The URR is a community-based infrastructure for the publishing, viewing, and analyzing of user-need related information. The data model of the URR has a core of seven relations for User Types, Applications, Requirements, Research Needs, Infrastructure Needs, Technology Needs, and Capacity Building Needs. The URR also includes a Lexicon, a number of controlled vocabularies, and

Mission Applications Support at NASA: The Proposal Surface Water and Ocean Topography Mission

NASA Astrophysics Data System (ADS)

Srinivasan, Margaret; Peterson, Craig; Callahan, Phil

2013-09-01

The NASA Applied Sciences Program is actively supporting an agency-wide effort to formalize a mission-level data applications approach. The program goal is to engage early-phase NASA Earth satellite mission project teams with applied science representation in the flight mission planning process. The end objective is to "to engage applications-oriented users and organizations early in the satellite mission lifecycle to enable them to envision possible applications and integrate end-user needs into satellite mission planning as a way to increase the benefits to the nation."Two mission applications representatives have been selected for each early phase Tier 2 mission, including the Surface Water and Ocean Topography (SWOT) mission concept. These representatives are tasked with identifying and organizing the applications communities and developing and promoting a process for the mission to optimize the reach of existing applications efforts in order to enhance the applications value of the missions. An early project-level awareness of mission planning decisions that may increase or decrease the utility of data products to diverse user and potential user communities (communities of practice and communities of potential, respectively) has high value and potential return to the mission and to the users.Successful strategies to enhance science and practical applications of projected SWOT data streams will require engaging with and facilitating between representatives in the science, societal applications, and mission planning communities.Some of the elements of this program include:• Identify early adopters of data products• Coordinate applications team, including;Project Scientist, Payload Scientist, ProjectManager, data processing lead• Describe mission and products sufficiently inearly stage of development to effectively incorporate all potential usersProducts and activities resulting from this effort will include (but are not limited to); workshops, workshop summaries, web pages, email lists of interested users/scientists, an Applications Plan, printed materials (posters, brochures) and participation in key meetings.

What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review

PubMed Central

Amann, Julia; Zanini, Claudia; Rubinelli, Sara

2016-01-01

Background In order to adapt to societal changes, healthcare systems need to switch from a disease orientation to a patient-centered approach. Virtual patient networks are a promising tool to favor this switch and much can be learned from the open and user innovation literature where the involvement of online user communities in the innovation process is well-documented. Objectives The objectives of this study were 1) to describe the use of online communities as a tool to capture and harness innovative ideas of end users or consumers; and 2) to point to the potential value and challenges of these virtual platforms to function as a tool to inform and promote patient-centered care in the context of chronic health conditions. Methods A scoping review was conducted. A total of seven databases were searched for scientific articles published in English between 1995 and 2014. The search strategy was refined through an iterative process. Results A total of 144 studies were included in the review. Studies were coded inductively according to their research focus to identify groupings of papers. The first set of studies focused on the interplay of factors related to user roles, motivations, and behaviors that shape the innovation process within online communities. Studies of the second set examined the role of firms in online user innovation initiatives, identifying different organizational strategies and challenges. The third set of studies focused on the idea selection process and measures of success with respect to online user innovation initiatives. Finally, the findings from the review are presented in the light of the particularities and challenges discussed in current healthcare research. Conclusion The present paper highlights the potential of virtual patient communities to inform and promote patient-centered care, describes the key challenges involved in this process, and makes recommendations on how to address them. PMID:27272912

What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review.

PubMed

Amann, Julia; Zanini, Claudia; Rubinelli, Sara

2016-01-01

In order to adapt to societal changes, healthcare systems need to switch from a disease orientation to a patient-centered approach. Virtual patient networks are a promising tool to favor this switch and much can be learned from the open and user innovation literature where the involvement of online user communities in the innovation process is well-documented. The objectives of this study were 1) to describe the use of online communities as a tool to capture and harness innovative ideas of end users or consumers; and 2) to point to the potential value and challenges of these virtual platforms to function as a tool to inform and promote patient-centered care in the context of chronic health conditions. A scoping review was conducted. A total of seven databases were searched for scientific articles published in English between 1995 and 2014. The search strategy was refined through an iterative process. A total of 144 studies were included in the review. Studies were coded inductively according to their research focus to identify groupings of papers. The first set of studies focused on the interplay of factors related to user roles, motivations, and behaviors that shape the innovation process within online communities. Studies of the second set examined the role of firms in online user innovation initiatives, identifying different organizational strategies and challenges. The third set of studies focused on the idea selection process and measures of success with respect to online user innovation initiatives. Finally, the findings from the review are presented in the light of the particularities and challenges discussed in current healthcare research. The present paper highlights the potential of virtual patient communities to inform and promote patient-centered care, describes the key challenges involved in this process, and makes recommendations on how to address them.

Health-care users, key community informants and primary health care workers' views on health, health promotion, health assets and deficits: qualitative study in seven Spanish regions.

PubMed

Pons-Vigués, Mariona; Berenguera, Anna; Coma-Auli, Núria; Pombo-Ramos, Haizea; March, Sebastià; Asensio-Martínez, Angela; Moreno-Peral, Patricia; Mora-Simón, Sara; Martínez-Andrés, Maria; Pujol-Ribera, Enriqueta

2017-06-13

Although some articles have analysed the definitions of health and health promotion from the perspective of health-care users and health care professionals, no published studies include the simultaneous participation of health-care users, primary health care professionals and key community informants. Understanding the perception of health and health promotion amongst these different stakeholders is crucial for the design and implementation of successful, equitable and sustainable measures that improve the health and wellbeing of populations. Furthermore, the identification of different health assets and deficits by the different informants will generate new evidence to promote healthy behaviours, improve community health and wellbeing and reduce preventable inequalities. The objective of this study is to explore the concept of health and health promotion and to compare health assets and deficits as identified by health-care users, key community informants and primary health care workers with the ultimate purpose to collect the necessary data for the design and implementation of a successful health promotion intervention. A descriptive-interpretive qualitative research was conducted with 276 participants from 14 primary care centres of 7 Spanish regions. Theoretical sampling was used for selection. We organized 11 discussion groups and 2 triangular groups with health-care users; 30 semi-structured interviews with key community informants; and 14 discussion groups with primary health care workers. A thematic content analysis was carried out. Health-care users and key community informants agree that health is a complex, broad, multifactorial concept that encompasses several interrelated dimensions (physical, psychological-emotional, social, occupational, intellectual, spiritual and environmental). The three participants' profiles consider health promotion indispensable despite defining it as complex and vague. In fact, most health-care users admit to having implemented some change to promote their health. The most powerful motivators to change lifestyles are having a disease, fear of becoming ill and taking care of oneself to maintain health. Health-care users believe that the main difficulties are associated with the physical, social, working and family environment, as well as lack of determination and motivation. They also highlight the need for more information. In relation to the assets and deficits of the neighbourhood, each group identifies those closer to their role. Generally, participants showed a holistic and positive concept of health and a more traditional, individual approach to health promotion. We consider therefore crucial to depart from the model of health services that focuses on the individual and the disease toward a socio-ecological health model that substantially increases the participation of health-care users and emphasizes health promotion, wellbeing and community participation.

The NCAR Research Data Archive's Hybrid Approach for Data Discovery and Access

NASA Astrophysics Data System (ADS)

Schuster, D.; Worley, S. J.

2013-12-01

The NCAR Research Data Archive (RDA http://rda.ucar.edu) maintains a variety of data discovery and access capabilities for it's 600+ dataset collections to support the varying needs of a diverse user community. In-house developed and standards-based community tools offer services to more than 10,000 users annually. By number of users the largest group is external and access the RDA through web based protocols; the internal NCAR HPC users are fewer in number, but typically access more data volume. This paper will detail the data discovery and access services maintained by the RDA to support both user groups, and show metrics that illustrate how the community is using the services. The distributed search capability enabled by standards-based community tools, such as Geoportal and an OAI-PMH access point that serves multiple metadata standards, provide pathways for external users to initially discover RDA holdings. From here, in-house developed web interfaces leverage primary discovery level metadata databases that support keyword and faceted searches. Internal NCAR HPC users, or those familiar with the RDA, may go directly to the dataset collection of interest and refine their search based on rich file collection metadata. Multiple levels of metadata have proven to be invaluable for discovery within terabyte-sized archives composed of many atmospheric or oceanic levels, hundreds of parameters, and often numerous grid and time resolutions. Once users find the data they want, their access needs may vary as well. A THREDDS data server running on targeted dataset collections enables remote file access through OPENDAP and other web based protocols primarily for external users. In-house developed tools give all users the capability to submit data subset extraction and format conversion requests through scalable, HPC based delayed mode batch processing. Users can monitor their RDA-based data processing progress and receive instructions on how to access the data when it is ready. External users are provided with RDA server generated scripts to download the resulting request output. Similarly they can download native dataset collection files or partial files using Wget or cURL based scripts supplied by the RDA server. Internal users can access the resulting request output or native dataset collection files directly from centralized file systems.

Kameleon Live: An Interactive Cloud Based Analysis and Visualization Platform for Space Weather Researchers

NASA Astrophysics Data System (ADS)

Pembroke, A. D.; Colbert, J. A.

2015-12-01

The Community Coordinated Modeling Center (CCMC) provides hosting for many of the simulations used by the space weather community of scientists, educators, and forecasters. CCMC users may submit model runs through the Runs on Request system, which produces static visualizations of model output in the browser, while further analysis may be performed off-line via Kameleon, CCMC's cross-language access and interpolation library. Off-line analysis may be suitable for power-users, but storage and coding requirements present a barrier to entry for non-experts. Moreover, a lack of a consistent framework for analysis hinders reproducibility of scientific findings. To that end, we have developed Kameleon Live, a cloud based interactive analysis and visualization platform. Kameleon Live allows users to create scientific studies built around selected runs from the Runs on Request database, perform analysis on those runs, collaborate with other users, and disseminate their findings among the space weather community. In addition to showcasing these novel collaborative analysis features, we invite feedback from CCMC users as we seek to advance and improve on the new platform.

Advances in structural monitoring with Global Positioning System technology: 1997-2006

NASA Astrophysics Data System (ADS)

Ogaja, Clement; Li, Xiaojing; Rizos, Chris

2007-11-01

Over the last decade, users of the Global Positioning System (GPS) have developed the technology capable of meeting stringent requirements to study the dynamics of tall buildings, towers, and bridges during earthquakes, wind-induced deformation and traffic loading. Dynamic measurements of relative displacements of structures is currently possible using real-time kinematic (RTK) positioning techniques, now advanced to record typically at 10-20 Hz (or higher - e.g., 100 Hz) with an accuracy of ±1 cm horizontally and ±2 cm vertically. With further advances in the technology and improvements in sampling capability, it is possible to meet the needs of real-time displacement information for the structural engineering community. After a decade of great strides in proving the feasibility of the technology, focus is moving to sensor integration and operational systems. Several investigators are now routinely researching the integration of GPS with other sensors (accelerometers, fibre optics, pseudolites, etc.) to utilise the complementary benefits and overcome limitations of the individual systems. Examples of real-time operational systems exist to demonstrate the significance of GPS technology in measuring the dynamic behaviour of large engineering structures.

Jointly they edit: examining the impact of community identification on political interaction in Wikipedia.

PubMed

Neff, Jessica J; Laniado, David; Kappler, Karolin E; Volkovich, Yana; Aragón, Pablo; Kaltenbrunner, Andreas

2013-01-01

In their 2005 study, Adamic and Glance coined the memorable phrase 'divided they blog', referring to a trend of cyberbalkanization in the political blogosphere, with liberal and conservative blogs tending to link to other blogs with a similar political slant, and not to one another. As political discussion and activity increasingly moves online, the power of framing political discourses is shifting from mass media to social media. Continued examination of political interactions online is critical, and we extend this line of research by examining the activities of political users within the Wikipedia community. First, we examined how users in Wikipedia choose to display their political affiliation. Next, we analyzed the patterns of cross-party interaction and community participation among those users proclaiming a political affiliation. In contrast to previous analyses of other social media, we did not find strong trends indicating a preference to interact with members of the same political party within the Wikipedia community. Our results indicate that users who proclaim their political affiliation within the community tend to proclaim their identity as a 'Wikipedian' even more loudly. It seems that the shared identity of 'being Wikipedian' may be strong enough to triumph over other potentially divisive facets of personal identity, such as political affiliation.

Beyond The Prime Directive: The MAST Discovery Portal and High Level Science Products

NASA Astrophysics Data System (ADS)

Fleming, Scott W.; Abney, Faith; Donaldson, Tom; Dower, Theresa; Fraquelli, Dorothy A.; Koekemoer, Anton M.; Levay, Karen; Matuskey, Jacob; McLean, Brian; Quick, Lee; Rogers, Anthony; Shiao, Bernie; Thompson, Randy; Tseng, Shui-Ay; Wallace, Geoff; White, Richard L.

2015-01-01

The Mikulski Archive for Space Telescopes (MAST) is a NASA-funded archive for a wide range of astronomical missions, primarily supporting space-based UV and optical telescopes. What is less well-known is that MAST provides much more than just a final resting place for primary data products and documentation from these missions. The MAST Discovery Portal is our new search interface that integrates all the missions that MAST supports into a single interface, allowing users to discover (and retrieve) data from other missions that overlap with your targets of interest. In addition to searching MAST, the Portal allows users to search the Virtual Observatory, granting access to data from thousands of collections registered with the VO, including large missions spanning the electromagnetic spectrum (e.g., Chandra, SDSS, Spitzer, 2MASS, WISE). The Portal features table import/export, coordinate-based cross-matching, dynamic chart plotting, and the AstroView sky viewer with footprint overlays. We highlight some of these capabilities with science-driven examples. MAST also accepts High Level Science Products (HLSPs) from the community. These HLSPs are user-generated data products that can be related to a MAST-supported mission. MAST provides a permanent archive for these data with linked references, and integrates it within MAST infrastructure and services. We highlight some of the most recent HLSPs MAST has released, including the HST Frontier Fields, GALEX All-Sky Diffuse Radiation Mapping, a survey of the intergalactic medium with HST-COS, and one of the most complete line lists ever derived for a white dwarf using FUSE AND HST-STIS. These HLSPs generate substantial interest from the community, and are an excellent way to increase visibility and ensure the longevity of your data.

A systematic review of the impact of patient and public involvement on service users, researchers and communities.

PubMed

Brett, Jo; Staniszewska, Sophie; Mockford, Carole; Herron-Marx, Sandra; Hughes, John; Tysall, Colin; Suleman, Rashida

2014-01-01

Patient and public involvement (PPI) in research has expanded nationally and internationally over the last decade, and recently there has been significant attention given to understanding its impact on research. Less attention has been given to the impact of PPI on the people involved, yet it has been shown that the success of PPI in research can be reliant on the processes of engagement between these individuals and communities. This paper therefore critically explores the impact of PPI on service users, researchers and communities involved in health and social care research. Searches were undertaken from 1995 to April 2012 in the electronic databases MEDLINE, EMBASE, PsycINFO, Cochrane library, CINAHL, HMIC and HELMIS. Searches were undertaken for grey literature using the databases InvoNet and NHS Evidence. Studies were included if they included the impact of PPI on individual service users, researchers or communities under research. Studies were excluded if they were in a foreign language (unless they were deemed critical to the systematic review) or were in children and adolescent services. Data were extracted using a narrative synthesis, and quality was assessed using the Critical Appraisal Skills Programme. Service users reported feeling empowered and valued, gaining confidence and life skills. Researchers developed a greater understanding and insight into their research area, gaining respect and a good rapport with the community. The community involved in research became more aware and knowledgeable about their condition. However, lack of preparation and training led some service users to feel unable to contribute to the research, while other service users and communities reported feeling overburdened with the work involved. Researchers reported difficulties in incorporating PPI in meaningful ways due to lack of money and time. This is the first international systematic review to focus on the impact of PPI on the people involved in the process. The beneficial and challenging impacts reported highlight the importance of optimising the context and processes of involvement, so creating the potential for PPI to impact positively on the research itself.

Distributed Information System for Dynamic Ocean Data in Indonesia

NASA Astrophysics Data System (ADS)

Romero, Laia; Sala, Joan; Polo, Isabel; Cases, Oscar; López, Alejandro; Jolibois, Tony; Carbou, Jérome

2014-05-01

Information systems are widely used to enable access to scientific data by different user communities. MyOcean information system is a good example of such applications in Europe. The present work describes a specific distributed information system for Ocean Numerical Model (ONM) data in the scope of the INDESO project, a project focused on Infrastructure Development of Space Oceanography in Indonesia. INDESO, as part of the Blue Revolution policy conducted by the Indonesian government for the sustainable development of fisheries and aquaculture, presents challenging service requirements in terms of services performance, reliability, security and overall usability. Following state-of-the-art technologies on scientific data networks, this robust information system provides a high level of interoperability of services to discover, view and access INDESO dynamic ONM scientific data. The entire system is automatically updated four times a day, including dataset metadata, taking into account every new file available in the data repositories. The INDESO system architecture has been designed in great part around the extension and integration of open-source flexible and mature technologies. It involves three separate modules: web portal, dissemination gateway, and user administration. Supporting different gridded and non-gridded data, the INDESO information system features search-based data discovery, data access by temporal and spatial subset extraction, direct download and ftp, and multiple-layer visualization of datasets. A complex authorization system has been designed and applied throughout all components, in order to enable services authorization at dataset level, according to the different user profiles stated in the data policy. Finally, a web portal has been developed as the single entry point and standardized interface to all data services (discover, view, and access). Apache SOLR has been implemented as the search server, allowing faceted browsing among ocean data products and the connection to an external catalogue of metadata records. ncWMS and Godiva2 have been the basis of the viewing server and client technologies developed, MOTU has been used for data subsetting and intelligent management of data queues, and has allowed the deployment of a centralised download interface applicable to all ONM products. Unidata's Thredds server has been employed to provide file metadata and remote access to ONM data. CAS has been used as the single sign-on protocol for all data services. The user management application developed has been based on GOSA2. Joomla and Bootstrap have been the technologies used for the web portal, compatible with mobile phone and tablet devices. The INDESO information system comes up as an information system that is scalable, extremely easy to use, operate and maintain. This will facilitate the extensive use of ocean numerical model data by the scientific community in Indonesia. Constituted mostly of open-source solutions, the system is able to meet strict operational requirements, and carry out complex functions. It is feasible to adapt this architecture to different static and dynamic oceanographic data sources and large data volumes, in an accessible, fast, and comprehensive manner.

Interfacing HTCondor-CE with OpenStack

NASA Astrophysics Data System (ADS)

Bockelman, B.; Caballero Bejar, J.; Hover, J.

2017-10-01

Over the past few years, Grid Computing technologies have reached a high level of maturity. One key aspect of this success has been the development and adoption of newer Compute Elements to interface the external Grid users with local batch systems. These new Compute Elements allow for better handling of jobs requirements and a more precise management of diverse local resources. However, despite this level of maturity, the Grid Computing world is lacking diversity in local execution platforms. As Grid Computing technologies have historically been driven by the needs of the High Energy Physics community, most resource providers run the platform (operating system version and architecture) that best suits the needs of their particular users. In parallel, the development of virtualization and cloud technologies has accelerated recently, making available a variety of solutions, both commercial and academic, proprietary and open source. Virtualization facilitates performing computational tasks on platforms not available at most computing sites. This work attempts to join the technologies, allowing users to interact with computing sites through one of the standard Computing Elements, HTCondor-CE, but running their jobs within VMs on a local cloud platform, OpenStack, when needed. The system will re-route, in a transparent way, end user jobs into dynamically-launched VM worker nodes when they have requirements that cannot be satisfied by the static local batch system nodes. Also, once the automated mechanisms are in place, it becomes straightforward to allow an end user to invoke a custom Virtual Machine at the site. This will allow cloud resources to be used without requiring the user to establish a separate account. Both scenarios are described in this work.

Method and System for Air Traffic Rerouting for Airspace Constraint Resolution

NASA Technical Reports Server (NTRS)

Erzberger, Heinz (Inventor); Morando, Alexander R. (Inventor); Sheth, Kapil S. (Inventor); McNally, B. David (Inventor); Clymer, Alexis A. (Inventor); Shih, Fu-tai (Inventor)

2017-01-01

A dynamic constraint avoidance route system automatically analyzes routes of aircraft flying, or to be flown, in or near constraint regions and attempts to find more time and fuel efficient reroutes around current and predicted constraints. The dynamic constraint avoidance route system continuously analyzes all flight routes and provides reroute advisories that are dynamically updated in real time. The dynamic constraint avoidance route system includes a graphical user interface that allows users to visualize, evaluate, modify if necessary, and implement proposed reroutes.

Security and Policy for Group Collaboration

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ian Foster; Carl Kesselman

2006-07-31

“Security and Policy for Group Collaboration” was a Collaboratory Middleware research project aimed at providing the fundamental security and policy infrastructure required to support the creation and operation of distributed, computationally enabled collaborations. The project developed infrastructure that exploits innovative new techniques to address challenging issues of scale, dynamics, distribution, and role. To reduce greatly the cost of adding new members to a collaboration, we developed and evaluated new techniques for creating and managing credentials based on public key certificates, including support for online certificate generation, online certificate repositories, and support for multiple certificate authorities. To facilitate the integration ofmore » new resources into a collaboration, we improved significantly the integration of local security environments. To make it easy to create and change the role and associated privileges of both resources and participants of collaboration, we developed community wide authorization services that provide distributed, scalable means for specifying policy. These services make it possible for the delegation of capability from the community to a specific user, class of user or resource. Finally, we instantiated our research results into a framework that makes it useable to a wide range of collaborative tools. The resulting mechanisms and software have been widely adopted within DOE projects and in many other scientific projects. The widespread adoption of our Globus Toolkit technology has provided, and continues to provide, a natural dissemination and technology transfer vehicle for our results.« less

Adapting SCORM Compliant LOs in a Knowledge Engineering Scenario

ERIC Educational Resources Information Center

Di Bitonto, Pierpaolo

2010-01-01

The success of communities generally implies both growth of the participants (and thus of their contributions), and an increasing array of services offered. For this reason, it is often difficult for new users to fully understand the potential of the community, while for expert users it becomes difficult both to manage the resources available in…

User-Centered Design Guidelines for Collaborative Software for Intelligence Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Scholtz, Jean; Endert, Alexander N.

In this position paper we discuss the necessity of using User-Centered Design (UCD) methods in order to design collaborative software for the intelligence community. We present some standing issues in collaborative software based on existing work within the intelligence community. Based on this information we present opportunities to address some of these challenges.

Digital Library Services: Perceptions and Expectations of User Communities and Librarians in a New Zealand Academic Library.

ERIC Educational Resources Information Center

Xia, Wei

2003-01-01

Provides an overview of research conducted at Victoria University of Wellington regarding differing perceptions and expectations of user communities and librarians related to the usability of digital services. Considers access to services, currency of information on the Web site, the online public access catalog, databases, electronic journals,…

Characterizing User Behaviours and Products in an Online Educational Community: A Comparison between Novices and Elders

ERIC Educational Resources Information Center

Yuan, Min; Recker, Mimi

2014-01-01

This study focuses on two user types in an online educational community--novices and elders--and explores the characteristics of their behaviours and contributed products by analyzing usage logs. Results show that novices and elders have different behavioural trajectories. In addition, the products created by elders attract more views.

Human behavior in online social systems

NASA Astrophysics Data System (ADS)

Grabowski, A.

2009-06-01

We present and study data concerning human behavior in four online social systems: (i) an Internet community of friends of over 107 people, (ii) a music community website with over 106 users, (iii) a gamers’ community server with over 5 × 106 users and (iv) a booklovers’ website with over 2.5 × 105 users. The purpose of those systems is different; however, their properties are very similar. We have found that the distribution of human activity (e.g., the sum of books read or songs played) has the form of a power law. Moreover, the relationship between human activity and time has a power-law form, too. We present a simple interest-driven model of the evolution of such systems which explains the emergence of two scaling regimes.

The climate4impact portal: bridging the CMIP5 data infrastructure to impact users

NASA Astrophysics Data System (ADS)

Plieger, Maarten; Som de Cerff, Wim; Page, Christian; Hutjes, Ronald; de Jong, Fokke; Bärring, Lars; Sjökvist, Elin

2013-04-01

Together with seven other partners (CERFACS, CNRS-IPSL, SMHI, INHGA, CMCC, WUR, MF-CNRM), KNMI is involved in the FP7 project IS-ENES (http://is.enes.org), which supports the European climate modeling infrastructure, in the work package 'Bridging Climate Research Data and the Needs of the Impact Community'. The aim of this work package is to enhance the use of climate model data and to enhance the interaction with climate effect/impact communities. The portal is based on 17 impact use cases from 5 different European countries, and is evaluated by a user panel consisting of use case owners. As the climate impact community is very broad, the focus is mainly on the scientific impact community. This work has resulted in a prototype portal, the ENES portal interface for climate impact communities, that can be visited at www.climate4impact.eu. The portal is connected to all Earth System Grid Federation (ESGF) nodes containing global climate model data (GCM data) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) and later from the Coordinated Regional Climate Downscaling Experiment (CORDEX). This global network of all major climate model data centers offers services for data description, discovery and download. The climate4impact portal connects to these services and offers a user interface for searching, visualizing and downloading global climate model data and more. A challenging task was to describe the available model data and how it can be used. The portal tries to inform users about possible caveats when using GCM data. All impact use cases are described in the documentation section, using highlighted keywords pointing to detailed information in the glossary. During the project, the content management system Drupal was used to enable partners to contribute on the documentation section. In this presentation the architecture and following items will be detailed: - Security: Login using OpenID for access to the ESG data nodes. The ESG works in conjunction with several external websites and systems. The climate4impact portal uses X509 based short lived credentials, generated on behalf of the user with a MyProxy service. Single Sign-on (SSO) is used to make these websites and systems work together. - Discovery: Facetted search based on e.g. variable name, model and institute using the ESG search services. A catalog browser allows for browsing through CMIP5 and other climate model data catalogues (e.g. ESSENCE, EOBS, UNIDATA). - Download: Directly from ESG nodes and other THREDDS catalogs - Visualization: Visualize any data directly using ADAGUC dynamic Web Map Services. - Transformation: Transform your data into other formats, perform basic calculations and extractions using OCG Web Processing Services The current portal is a Prototype. It is built to explore state-of-art technologies to provide improved access to climate model data. The prototype will be evaluated and is the basis for development of an operational service. The portal and services provided will be sustained and supported during the development of these operational services (2013-2016) in the second phase of the FP7 IS-ENES project, ISENES2.

A Multirelational Social Network Analysis of an Online Health Community for Smoking Cessation.

PubMed

Zhao, Kang; Wang, Xi; Cha, Sarah; Cohn, Amy M; Papandonatos, George D; Amato, Michael S; Pearson, Jennifer L; Graham, Amanda L

2016-08-25

Online health communities (OHCs) provide a convenient and commonly used way for people to connect around shared health experiences, exchange information, and receive social support. Users often interact with peers via multiple communication methods, forming a multirelational social network. Use of OHCs is common among smokers, but to date, there have been no studies on users' online interactions via different means of online communications and how such interactions are related to smoking cessation. Such information can be retrieved in multirelational social networks and could be useful in the design and management of OHCs. To examine the social network structure of an OHC for smoking cessation using a multirelational approach, and to explore links between subnetwork position (ie, centrality) and smoking abstinence. We used NetworkX to construct 4 subnetworks based on users' interactions via blogs, group discussions, message boards, and private messages. We illustrated topological properties of each subnetwork, including its degree distribution, density, and connectedness, and compared similarities among these subnetworks by correlating node centrality and measuring edge overlap. We also investigated coevolution dynamics of this multirelational network by analyzing tie formation sequences across subnetworks. In a subset of users who participated in a randomized, smoking cessation treatment trial, we conducted user profiling based on users' centralities in the 4 subnetworks and identified user groups using clustering techniques. We further examined 30-day smoking abstinence at 3 months postenrollment in relation to users' centralities in the 4 subnetworks. The 4 subnetworks have different topological characteristics, with message board having the most nodes (36,536) and group discussion having the highest network density (4.35×10(-3)). Blog and message board subnetworks had the most similar structures with an in-degree correlation of .45, out-degree correlation of .55, and Jaccard coefficient of .23 for edge overlap. A new tie in the group discussion subnetwork had the lowest probability of triggering subsequent ties among the same two users in other subnetworks: 6.33% (54,142/855,893) for 2-tie sequences and 2.13% (18,207/855,893) for 3-tie sequences. Users' centralities varied across the 4 subnetworks. Among a subset of users enrolled in a randomized trial, those with higher centralities across subnetworks generally had higher abstinence rates, although high centrality in the group discussion subnetwork was not associated with higher abstinence rates. A multirelational approach revealed insights that could not be obtained by analyzing the aggregated network alone, such as the ineffectiveness of group discussions in triggering social ties of other types, the advantage of blogs, message boards, and private messages in leading to subsequent social ties of other types, and the weak connection between one's centrality in the group discussion subnetwork and smoking abstinence. These insights have implications for the design and management of online social networks for smoking cessation.

Pragmatic User Model Implementation in an Intelligent Help System.

ERIC Educational Resources Information Center

Fernandez-Manjon, Baltasar; Fernandez-Valmayor, Alfredo; Fernandez-Chamizo, Carmen

1998-01-01

Describes Aran, a knowledge-based system designed to help users deal with problems related to Unix operation. Highlights include adaptation to the individual user; user modeling knowledge; stereotypes; content of the individual user model; instantiation, acquisition, and maintenance of the individual model; dynamic acquisition of objective and…

User's Manual for the National Water-Quality Assessment Program Invertebrate Data Analysis System (IDAS) Software: Version 3

USGS Publications Warehouse

Cuffney, Thomas F.

2003-01-01

The Invertebrate Data Analysis System (IDAS) software provides an accurate, consistent, and efficient mechanism for analyzing invertebrate data collected as part of the National Water-Quality Assessment Program and stored in the Biological Transactional Database (Bio-TDB). The IDAS software is a stand-alone program for personal computers that run Microsoft (MS) Windows?. It allows users to read data downloaded from Bio-TDB and stored either as MS Excel? or MS Access? files. The program consists of five modules. The Edit Data module allows the user to subset, combine, delete, and summarize community data. The Data Preparation module allows the user to select the type(s) of sample(s) to process, calculate densities, delete taxa based on laboratory processing notes, combine lifestages or keep them separate, select a lowest taxonomic level for analysis, delete rare taxa, and resolve taxonomic ambiguities. The Calculate Community Metrics module allows the user to calculate over 130 community metrics, including metrics based on organism tolerances and functional feeding groups. The Calculate Diversities and Similarities module allows the user to calculate nine diversity and eight similarity indices. The Data export module allows the user to export data to other software packages and produce tables of community data that can be imported into spreadsheet and word-processing programs. Though the IDAS program was developed to process invertebrate data downloaded from USGS databases, it will work with other data sets that are converted to the USGS (Bio-TDB) format. Consequently, the data manipulation, analysis, and export procedures provided by the IDAS program can be used by anyone involved in using benthic macroinvertebrates in applied or basic research.

The use of online word of mouth opinion in online learning: a questionnaire survey.

PubMed

Sandars, John; Walsh, Kieran

2009-04-01

There is increasing use of online word of mouth opinion (user feedback) systems for general services but its use in online learning has not been previously investigated. To understand why users of BMJ Learning provide and read word of mouth feedback, and whether this feedback influences uptake of modules by prospective users. Online questionnaire of users of BMJ Learning who had completed online user feedback. 109 questionnaires were completed (response rate 25%). The main motivation to contribute was to influence the authors of the module (66%), and 43% stated that they wanted to help other users to make an informed choice. 16% stated that they wanted to develop an online community of learners. The main motivation to read the user feedback was to see if they agreed with the comments (56%). Online word of mouth opinion (user feedback) appears to be useful for online learners. There are also system design considerations since the attempt to create an online community of learners that is desired by some users will not be appreciated by others. Further research with a larger number of users is recommended to confirm the findings.

Dynamic Integration of Mobile JXTA with Cloud Computing for Emergency Rural Public Health Care

PubMed Central

Rajkumar, Rajasekaran; Sriman Narayana Iyengar, Nallani Chackravatula

2013-01-01

Objectives The existing processes of health care systems where data collection requires a great deal of labor with high-end tasks to retrieve and analyze information, are usually slow, tedious, and error prone, which restrains their clinical diagnostic and monitoring capabilities. Research is now focused on integrating cloud services with P2P JXTA to identify systematic dynamic process for emergency health care systems. The proposal is based on the concepts of a community cloud for preventative medicine, to help promote a healthy rural community. We investigate the approaches of patient health monitoring, emergency care, and an ambulance alert alarm (AAA) under mobile cloud-based telecare or community cloud controller systems. Methods Considering permanent mobile users, an efficient health promotion method is proposed. Experiments were conducted to verify the effectiveness of the method. The performance was evaluated from September 2011 to July 2012. A total of 1,856,454 cases were transported and referred to hospital, identified with health problems, and were monitored. We selected all the peer groups and the control server N0 which controls N1, N2, and N3 proxied peer groups. The hospital cloud controller maintains the database of the patients through a JXTA network. Results Among 1,856,454 transported cases with beneficiaries of 1,712,877 cases there were 1,662,834 lives saved and 8,500 cases transported per day with 104,530 transported cases found to be registered in a JXTA network. Conclusion The registered case histories were referred from the Hospital community cloud (HCC). SMS messages were sent from node N0 to the relay peers which connected to the N1, N2, and N3 nodes, controlled by the cloud controller through a JXTA network. PMID:24298441

Dynamic Integration of Mobile JXTA with Cloud Computing for Emergency Rural Public Health Care.

PubMed

Rajkumar, Rajasekaran; Sriman Narayana Iyengar, Nallani Chackravatula

2013-10-01

The existing processes of health care systems where data collection requires a great deal of labor with high-end tasks to retrieve and analyze information, are usually slow, tedious, and error prone, which restrains their clinical diagnostic and monitoring capabilities. Research is now focused on integrating cloud services with P2P JXTA to identify systematic dynamic process for emergency health care systems. The proposal is based on the concepts of a community cloud for preventative medicine, to help promote a healthy rural community. We investigate the approaches of patient health monitoring, emergency care, and an ambulance alert alarm (AAA) under mobile cloud-based telecare or community cloud controller systems. Considering permanent mobile users, an efficient health promotion method is proposed. Experiments were conducted to verify the effectiveness of the method. The performance was evaluated from September 2011 to July 2012. A total of 1,856,454 cases were transported and referred to hospital, identified with health problems, and were monitored. We selected all the peer groups and the control server N0 which controls N1, N2, and N3 proxied peer groups. The hospital cloud controller maintains the database of the patients through a JXTA network. Among 1,856,454 transported cases with beneficiaries of 1,712,877 cases there were 1,662,834 lives saved and 8,500 cases transported per day with 104,530 transported cases found to be registered in a JXTA network. The registered case histories were referred from the Hospital community cloud (HCC). SMS messages were sent from node N0 to the relay peers which connected to the N1, N2, and N3 nodes, controlled by the cloud controller through a JXTA network.

Soft Biological and Composite Nanomaterials

DOE Office of Scientific and Technical Information (OSTI.GOV)

Firestone, Millicent

2016-04-01

The goal of the Center for Integrated Nanotechnologies (CINT) is to plays a leadership role in integration of nanostructured materials to enable novel capabilities and applications through its function as a Department of Energy/Office of Science Nanoscale Science Research Center (NSRC) national user facility. By coupling open access to unique and world-class capabilities and scientific expertise to an active user community, CINT supports high-impact research that no other single institution could achieve – the whole of CINT including its user community is greater than the sum of its parts.

Nanophotonics and Optical Nanomaterials

DOE Office of Scientific and Technical Information (OSTI.GOV)

Doorn, Stephen

The goal of the Center for Integrated Nanotechnologies (CINT) is to plays a leadership role in integration of nanostructured materials to enable novel capabilities and applications through its function as a Department of Energy/Office of Science Nanoscale Science Research Center (NSRC) national user facility. By coupling open access to unique and world-class capabilities and scientific expertise to an active user community, CINT supports high-impact research that no other single institution could achieve – the whole of CINT including its user community is greater than the sum of its parts.

Modeling online social signed networks

NASA Astrophysics Data System (ADS)

Li, Le; Gu, Ke; Zeng, An; Fan, Ying; Di, Zengru

2018-04-01

People's online rating behavior can be modeled by user-object bipartite networks directly. However, few works have been devoted to reveal the hidden relations between users, especially from the perspective of signed networks. We analyze the signed monopartite networks projected by the signed user-object bipartite networks, finding that the networks are highly clustered with obvious community structure. Interestingly, the positive clustering coefficient is remarkably higher than the negative clustering coefficient. Then, a Signed Growing Network model (SGN) based on local preferential attachment is proposed to generate a user's signed network that has community structure and high positive clustering coefficient. Other structural properties of the modeled networks are also found to be similar to the empirical networks.

HIV testing behaviors and attitudes among community recruited methamphetamine users in a South African township

PubMed Central

Meade, Christina S.; Towe, Sheri L.; Watt, Melissa H.; Hobkirk, Andrea; Skinner, Donald; Myers, Bronwyn; Kimani, Stephen M.; Pieterse, Desiree

2015-01-01

Background Methamphetamine users in South Africa are at high risk for HIV infection and transmission, but little is known about HIV testing in this population. Methods We examined HIV testing behaviors and attitudes in 362 methamphetamine users recruited using chain referral sampling from one peri-urban community. Results Many (44%) had not been HIV tested in the past year. HIV testing was associated with positive testing attitudes, less AIDS stigma, and greater methamphetamine stigma. Among participants who reported HIV infection (8%), less than half were linked to care. Conclusions Findings highlight the need to identify barriers to HIV service uptake for methamphetamine users. PMID:24858393

Service user experiences of specialist mental health supported accommodation: A systematic review of qualitative studies and narrative synthesis.

PubMed

Krotofil, Joanna; McPherson, Peter; Killaspy, Helen

2018-04-02

Specialist supported accommodation services have become a key component of most community-based mental healthcare systems. While mental health policies highlight the importance of service user involvement in service development and care planning, there are no comprehensive literature reviews synthesising services users' perspectives on, or experiences of, supported accommodation services. This systematic review was undertaken to fill this gap. We searched electronic databases (January 2015, updated June 2017), conducted hand searches and used forward-backward snowballing to identify 13,678 papers. We inspected the full-text of 110 papers and included 50 of these in the final review. Data extraction and quality assessments were conducted. We used narrative synthesis to develop a conceptual model of service users' experiences that included structural, process, relational and contextual factors, such as the characteristics of the service, relationships with staff and other service users, the intensity and nature of support, the physical environment, and social and community integration. The review highlights the complex interplay of individual, service-level and community factors in shaping the lived experience of service users and their impact on personal identity and recovery. Our approach addressed some of the widely reported limitations of the quantitative research in this field, providing a conceptual model relevant to service user experiences across supported accommodation service types, population groups and countries. © 2018 John Wiley & Sons Ltd.

Heuristics for Relevancy Ranking of Earth Dataset Search Results

NASA Astrophysics Data System (ADS)

Lynnes, C.; Quinn, P.; Norton, J.

2016-12-01

As the Variety of Earth science datasets increases, science researchers find it more challenging to discover and select the datasets that best fit their needs. The most common way of search providers to address this problem is to rank the datasets returned for a query by their likely relevance to the user. Large web page search engines typically use text matching supplemented with reverse link counts, semantic annotations and user intent modeling. However, this produces uneven results when applied to dataset metadata records simply externalized as a web page. Fortunately, data and search provides have decades of experience in serving data user communities, allowing them to form heuristics that leverage the structure in the metadata together with knowledge about the user community. Some of these heuristics include specific ways of matching the user input to the essential measurements in the dataset and determining overlaps of time range and spatial areas. Heuristics based on the novelty of the datasets can prioritize later, better versions of data over similar predecessors. And knowledge of how different user types and communities use data can be brought to bear in cases where characteristics of the user (discipline, expertise) or their intent (applications, research) can be divined. The Earth Observing System Data and Information System has begun implementing some of these heuristics in the relevancy algorithm of its Common Metadata Repository search engine.

Heuristics for Relevancy Ranking of Earth Dataset Search Results

NASA Technical Reports Server (NTRS)

Lynnes, Christopher; Quinn, Patrick; Norton, James

2016-01-01

As the Variety of Earth science datasets increases, science researchers find it more challenging to discover and select the datasets that best fit their needs. The most common way of search providers to address this problem is to rank the datasets returned for a query by their likely relevance to the user. Large web page search engines typically use text matching supplemented with reverse link counts, semantic annotations and user intent modeling. However, this produces uneven results when applied to dataset metadata records simply externalized as a web page. Fortunately, data and search provides have decades of experience in serving data user communities, allowing them to form heuristics that leverage the structure in the metadata together with knowledge about the user community. Some of these heuristics include specific ways of matching the user input to the essential measurements in the dataset and determining overlaps of time range and spatial areas. Heuristics based on the novelty of the datasets can prioritize later, better versions of data over similar predecessors. And knowledge of how different user types and communities use data can be brought to bear in cases where characteristics of the user (discipline, expertise) or their intent (applications, research) can be divined. The Earth Observing System Data and Information System has begun implementing some of these heuristics in the relevancy algorithm of its Common Metadata Repository search engine.

Relevancy Ranking of Satellite Dataset Search Results

NASA Technical Reports Server (NTRS)

Lynnes, Christopher; Quinn, Patrick; Norton, James

2017-01-01

As the Variety of Earth science datasets increases, science researchers find it more challenging to discover and select the datasets that best fit their needs. The most common way of search providers to address this problem is to rank the datasets returned for a query by their likely relevance to the user. Large web page search engines typically use text matching supplemented with reverse link counts, semantic annotations and user intent modeling. However, this produces uneven results when applied to dataset metadata records simply externalized as a web page. Fortunately, data and search provides have decades of experience in serving data user communities, allowing them to form heuristics that leverage the structure in the metadata together with knowledge about the user community. Some of these heuristics include specific ways of matching the user input to the essential measurements in the dataset and determining overlaps of time range and spatial areas. Heuristics based on the novelty of the datasets can prioritize later, better versions of data over similar predecessors. And knowledge of how different user types and communities use data can be brought to bear in cases where characteristics of the user (discipline, expertise) or their intent (applications, research) can be divined. The Earth Observing System Data and Information System has begun implementing some of these heuristics in the relevancy algorithm of its Common Metadata Repository search engine.

Best practices in the use of hybrid static-dynamic signs.

DOT National Transportation Integrated Search

2012-12-01

Static signs are traditionally used to convey messages to the road users. The need to quickly communicate up-to-date messages to the road users has given rise to the increasing use of dynamic message signs (DMS). An alternative to DMS is hybrid signs...

Optical systems engineering - A tutorial

NASA Technical Reports Server (NTRS)

Wyman, C. L.

1979-01-01

The paper examines the use of the systems engineering approach in the design of optical systems, noting that the use of such an approach which involves an integrated interdisciplinary approach to the development of systems is most appropriate for optics. It is shown that the high precision character of optics leads to complex and subtle effects on optical system performance, resulting from structural, thermal dynamical, control system, and manufacturing and assembly considerations. Attention is given to communication problems that often occur among users and optical engineers due to the unique factors of optical systems. It is concluded that it is essential that the optics community provide leadership to resolve communication problems and fully formalize the field of optical systems engineering.

On accuracy of the wave finite element predictions of wavenumbers and power flow: A benchmark problem

NASA Astrophysics Data System (ADS)

Søe-Knudsen, Alf; Sorokin, Sergey

2011-06-01

This rapid communication is concerned with justification of the 'rule of thumb', which is well known to the community of users of the finite element (FE) method in dynamics, for the accuracy assessment of the wave finite element (WFE) method. An explicit formula linking the size of a window in the dispersion diagram, where the WFE method is trustworthy, with the coarseness of a FE mesh employed is derived. It is obtained by the comparison of the exact Pochhammer-Chree solution for an elastic rod having the circular cross-section with its WFE approximations. It is shown that the WFE power flow predictions are also valid within this window.

Objective comparison of particle tracking methods

PubMed Central

Chenouard, Nicolas; Smal, Ihor; de Chaumont, Fabrice; Maška, Martin; Sbalzarini, Ivo F.; Gong, Yuanhao; Cardinale, Janick; Carthel, Craig; Coraluppi, Stefano; Winter, Mark; Cohen, Andrew R.; Godinez, William J.; Rohr, Karl; Kalaidzidis, Yannis; Liang, Liang; Duncan, James; Shen, Hongying; Xu, Yingke; Magnusson, Klas E. G.; Jaldén, Joakim; Blau, Helen M.; Paul-Gilloteaux, Perrine; Roudot, Philippe; Kervrann, Charles; Waharte, François; Tinevez, Jean-Yves; Shorte, Spencer L.; Willemse, Joost; Celler, Katherine; van Wezel, Gilles P.; Dan, Han-Wei; Tsai, Yuh-Show; de Solórzano, Carlos Ortiz; Olivo-Marin, Jean-Christophe; Meijering, Erik

2014-01-01

Particle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy image data. Since manually detecting and following large numbers of individual particles is not feasible, automated computational methods have been developed for these tasks by many groups. Aiming to perform an objective comparison of methods, we gathered the community and organized, for the first time, an open competition, in which participating teams applied their own methods independently to a commonly defined data set including diverse scenarios. Performance was assessed using commonly defined measures. Although no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to important practical conclusions for users and developers. PMID:24441936

Structural and Dynamical Patterns on Online Social Networks: The Spanish May 15th Movement as a Case Study

PubMed Central

Borge-Holthoefer, Javier; Rivero, Alejandro; García, Iñigo; Cauhé, Elisa; Ferrer, Alfredo; Ferrer, Darío; Francos, David; Iñiguez, David; Pérez, María Pilar; Ruiz, Gonzalo; Sanz, Francisco; Serrano, Fermín; Viñas, Cristina; Tarancón, Alfonso; Moreno, Yamir

2011-01-01

The number of people using online social networks in their everyday life is continuously growing at a pace never saw before. This new kind of communication has an enormous impact on opinions, cultural trends, information spreading and even in the commercial success of new products. More importantly, social online networks have revealed as a fundamental organizing mechanism in recent country-wide social movements. In this paper, we provide a quantitative analysis of the structural and dynamical patterns emerging from the activity of an online social network around the ongoing May 15th (15M) movement in Spain. Our network is made up by users that exchanged tweets in a time period of one month, which includes the birth and stabilization of the 15M movement. We characterize in depth the growth of such dynamical network and find that it is scale-free with communities at the mesoscale. We also find that its dynamics exhibits typical features of critical systems such as robustness and power-law distributions for several quantities. Remarkably, we report that the patterns characterizing the spreading dynamics are asymmetric, giving rise to a clear distinction between information sources and sinks. Our study represents a first step towards the use of data from online social media to comprehend modern societal dynamics. PMID:21886834

From Community to Meta-Community Mental Health Care.

PubMed

Bouras, Nick; Ikkos, George; Craig, Thomas

2018-04-20

Since the 1960s, we have witnessed the development and growth of community mental health care that continues to dominate mental health policy and practice. Several high-income countries have implemented community mental health care programmes but for many others, including mostly low- and middle-income countries, it remains an aspiration. Although community mental health care has been positive for many service users, it has also had severe shortcomings. Expectations that it would lead to fuller social integration have not been fulfilled and many service users remain secluded in sheltered or custodial environments with limited social contacts and no prospect of work. Others receive little or no service at all. In today’s complex landscape of increasingly specialised services for people with mental health problems, the number of possible interfaces between services is increasing. Together with existing uneven financing systems and a context of constant change, these interfaces are challenging us to develop effective care pathways adjusted to the needs of service users and their carers. This discussion paper reviews the developments in community mental health care over the recent years and puts forward the concept of “Meta-Community Mental Health Care”. “Meta-Community Mental Health Care” embraces pluralism in understanding and treating psychiatric disorders, acknowledges the complexities of community provision, and reflects the realities and needs of the current era of care.

From Community to Meta-Community Mental Health Care

PubMed Central

Bouras, Nick; Ikkos, George; Craig, Thomas

2018-01-01

Since the 1960s, we have witnessed the development and growth of community mental health care that continues to dominate mental health policy and practice. Several high-income countries have implemented community mental health care programmes but for many others, including mostly low- and middle-income countries, it remains an aspiration. Although community mental health care has been positive for many service users, it has also had severe shortcomings. Expectations that it would lead to fuller social integration have not been fulfilled and many service users remain secluded in sheltered or custodial environments with limited social contacts and no prospect of work. Others receive little or no service at all. In today’s complex landscape of increasingly specialised services for people with mental health problems, the number of possible interfaces between services is increasing. Together with existing uneven financing systems and a context of constant change, these interfaces are challenging us to develop effective care pathways adjusted to the needs of service users and their carers. This discussion paper reviews the developments in community mental health care over the recent years and puts forward the concept of “Meta-Community Mental Health Care”. “Meta-Community Mental Health Care” embraces pluralism in understanding and treating psychiatric disorders, acknowledges the complexities of community provision, and reflects the realities and needs of the current era of care. PMID:29677100

TopoGromacs: Automated Topology Conversion from CHARMM to GROMACS within VMD.

PubMed

Vermaas, Josh V; Hardy, David J; Stone, John E; Tajkhorshid, Emad; Kohlmeyer, Axel

2016-06-27

Molecular dynamics (MD) simulation engines use a variety of different approaches for modeling molecular systems with force fields that govern their dynamics and describe their topology. These different approaches introduce incompatibilities between engines, and previously published software bridges the gaps between many popular MD packages, such as between CHARMM and AMBER or GROMACS and LAMMPS. While there are many structure building tools available that generate topologies and structures in CHARMM format, only recently have mechanisms been developed to convert their results into GROMACS input. We present an approach to convert CHARMM-formatted topology and parameters into a format suitable for simulation with GROMACS by expanding the functionality of TopoTools, a plugin integrated within the widely used molecular visualization and analysis software VMD. The conversion process was diligently tested on a comprehensive set of biological molecules in vacuo. The resulting comparison between energy terms shows that the translation performed was lossless as the energies were unchanged for identical starting configurations. By applying the conversion process to conventional benchmark systems that mimic typical modestly sized MD systems, we explore the effect of the implementation choices made in CHARMM, NAMD, and GROMACS. The newly available automatic conversion capability breaks down barriers between simulation tools and user communities and allows users to easily compare simulation programs and leverage their unique features without the tedium of constructing a topology twice.

Social Moderation and Dynamic Elements in Crowdsourced Geospatial Data: A Report on Quality Assessment, Dynamic Extensions and Mobile Device Engagement in the George Mason University Geocrowdsourcing Testbed

DTIC Science & Technology

2015-11-01

GMU) Associate Professor Dieter Pfoser describes an explosion of user generated content (UGC) available over the Internet (Pfoser 2011, Crooks et al...Crowdsourced and User - Generated Geospatial Data,” Annual (Fairfax, VA: George Mason University, November 29, 2012), http://www.dtic.mil/dtic/tr/fulltext/u2...area include GPS-enabled geosocial and 34 Dieter Pfoser, “On User - Generated

Accidental Discovery of Information on the User-Defined Social Web: A Mixed-Method Study

ERIC Educational Resources Information Center

Lu, Chi-Jung

2012-01-01

Frequently interacting with other people or working in an information-rich environment can foster the "accidental discovery of information" (ADI) (Erdelez, 2000; McCay-Peet & Toms, 2010). With the increasing adoption of social web technologies, online user-participation communities and user-generated content have provided users the…

Distributed user services for supercomputers

NASA Technical Reports Server (NTRS)

Sowizral, Henry A.

1989-01-01

User-service operations at supercomputer facilities are examined. The question is whether a single, possibly distributed, user-services organization could be shared by NASA's supercomputer sites in support of a diverse, geographically dispersed, user community. A possible structure for such an organization is identified as well as some of the technologies needed in operating such an organization.

Getting the point across: exploring the effects of dynamic virtual humans in an interactive museum exhibit on user perceptions.

PubMed

Rivera-Gutierrez, Diego; Ferdig, Rick; Li, Jian; Lok, Benjamin

2014-04-01

We have created “You, M.D.”, an interactive museum exhibit in which users learn about topics in public health literacy while interacting with virtual humans. You, M.D. is equipped with a weight sensor, a height sensor and a Microsoft Kinect that gather basic user information. Conceptually, You, M.D. could use this user information to dynamically select the appearance of the virtual humans in the interaction attempting to improve learning outcomes and user perception for each particular user. For this concept to be possible, a better understanding of how different elements of the visual appearance of a virtual human affects user perceptions is required. In this paper, we present the results of an initial user study with a large sample size (n =333) ran using You, M.D. The study measured users’ reactions based on the user’s gender and body-mass index (BMI) when facing virtual humans with BMI either concordant or discordant from the user’s BMI. The results of the study indicate that concordance between the users’ BMI and the virtual human’s BMI affects male and female users differently. The results also show that female users rate virtual humans as more knowledgeable than male users rate the same virtual humans.

A Web-Based Toolkit to Provide Evidence-Based Resources About Crystal Methamphetamine for the Australian Community: Collaborative Development of Cracks in the Ice.

PubMed

Champion, Katrina Elizabeth; Chapman, Cath; Newton, Nicola Clare; Brierley, Mary-Ellen; Stapinski, Lexine; Kay-Lambkin, Frances; Nagle, Jack; Teesson, Maree

2018-03-20

The use of crystal methamphetamine (ice) and the associated harms for individuals, families, and communities across Australia has been the subject of growing concern in recent years. The provision of easily accessible, evidence-based, and up-to-date information and resources about crystal methamphetamine for the community is a critical component of an effective public health response. This paper aims to describe the codevelopment process of the Web-based Cracks in the Ice Community Toolkit, which was developed to improve access to evidence-based information and resources about crystal methamphetamine for the Australian community. Development of the Cracks in the Ice Community Toolkit was conducted in collaboration with community members across Australia and with experts working in the addiction field. The iterative process involved the following: (1) consultation with end users, including community members, crystal methamphetamine users, families and friends of someone using crystal methamphetamine, health professionals, and teachers (n=451) via a cross-sectional Web-based survey to understand information needs; (2) content and Web development; and (3) user testing of a beta version of the Web-based toolkit among end users (n=41) and experts (n=10) to evaluate the toolkit's acceptability, relevance, and appeal. Initial end user consultation indicated that the most commonly endorsed reasons for visiting a website about crystal methamphetamine were "to get information for myself" (185/451, 41.0%) and "to find out how to help a friend or a family member" (136/451, 30.2%). Community consultation also revealed the need for simple information about crystal methamphetamine, including what it is, its effects, and when and where to seek help or support. Feedback on a beta version of the toolkit was positive in terms of content, readability, layout, look, and feel. Commonly identified areas for improvement related to increasing the level of engagement and personal connection, improving the ease of navigation, and balancing a "low prevalence of use, yet high impact" message. A total of 9138 users visited the website in the 3 months immediately post launch, and over 25,000 hard-copy Cracks in the Ice booklets and flyers were distributed across Australia. Of these resources, 60.93% (15,525/25,480) were distributed to relevant organizations and mailing list subscribers, and 39.07% (9955/25,480) were ordered directly by individuals, services, and community groups via the Cracks in the Ice website. The codevelopment process resulted in an engaging Web-based resource for the Australian community to access up-to-date and evidence-based resources about crystal methamphetamine. The Cracks in the Ice Community Toolkit provides much-needed information and support for individuals, families, and communities. ©Katrina Elizabeth Champion, Cath Chapman, Nicola Clare Newton, Mary-Ellen Brierley, Lexine Stapinski, Frances Kay-Lambkin, Jack Nagle, Maree Teesson. Originally published in JMIR Mental Health (http://mental.jmir.org), 20.03.2018.

The Effects of a Park Awareness Campaign on Rural Park Use and Physical Activity.

PubMed

Banda, Jorge A; Hooker, Steven P; Wilcox, Sara; Colabianchi, Natalie; Kaczynski, Andrew T; Hussey, James

To examine the effects of a park awareness campaign on park use in 6 community parks. One-group pretest-posttest design. Six community parks located in a South Carolina county. Children, adolescents, and adults observed in community parks. A 1-month awareness campaign that culminated in single 1.5-hour events at 6 parks in April 2011 and May 2011. The System for Observing Play and Recreation in Communities was used to objectively measure park use in May 2010 (baseline) and May 2011 (postcampaign). Zero-inflated Poisson models tested whether the number of total park users and the number of park users engaged in sedentary, walking, and vigorous activities differed by observation date. Park use was significantly greater at baseline than postcampaign (97 vs 84 users, respectively; χ = 4.69, P = .03). There were no significant differences in the number of park users engaged in sedentary (χ = 2.45, P = .12), walking (χ = 0.29, P = .59), and vigorous (χ = 0.20, P = .65) activities between baseline and postcampaign. Although only 97 and 84 people were observed across all parks at baseline and postcampaign, a total of 629 people were observed during the 6 separate 1.5-hour campaign park events. This suggests that there is potential for greater park utilization in these communities, and important questions remain on how to conduct effective awareness campaigns and how to harness interest in park events for the purpose of contributing to future community-wide physical activity and health promotion efforts.

The European ALMA Regional Centre: a model of user support

NASA Astrophysics Data System (ADS)

Andreani, P.; Stoehr, F.; Zwaan, M.; Hatziminaoglou, E.; Biggs, A.; Diaz-Trigo, M.; Humphreys, E.; Petry, D.; Randall, S.; Stanke, T.; van Kampen, E.; Bárta, M.; Brand, J.; Gueth, F.; Hogerheijde, M.; Bertoldi, F.; Muxlow, T.; Richards, A.; Vlemmings, W.

2014-08-01

The ALMA Regional Centres (ARCs) form the interface between the ALMA observatory and the user community from the proposal preparation stage to the delivery of data and their subsequent analysis. The ARCs provide critical services to both the ALMA operations in Chile and to the user community. These services were split by the ALMA project into core and additional services. The core services are financed by the ALMA operations budget and are critical to the successful operation of ALMA. They are contractual obligations and must be delivered to the ALMA project. The additional services are not funded by the ALMA project and are not contractual obligations, but are critical to achieve ALMA full scientific potential. A distributed network of ARC nodes (with ESO being the central ARC) has been set up throughout Europe at the following seven locations: Bologna, Bonn-Cologne, Grenoble, Leiden, Manchester, Ondrejov, Onsala. These ARC nodes are working together with the central node at ESO and provide both core and additional services to the ALMA user community. This paper presents the European ARC, and how it operates in Europe to support the ALMA community. This model, although complex in nature, is turning into a very successful one, providing a service to the scientific community that has been so far highly appreciated. The ARC could become a reference support model in an age where very large collaborations are required to build large facilities, and support is needed for geographically and culturally diverse communities.

Switched on or switched off? A survey of mobile, computer and Internet use in a community mental health rehabilitation sample.

PubMed

Tobitt, Simon; Percival, Robert

2017-07-04

UK society is undergoing a technological revolution, including meeting health needs through technology. Government policy is shifting towards a "digital by default" position. Studies have trialled health technology interventions for those experiencing psychosis and shown them to be useful. To gauge levels of engagement with mobile phones (Internet-enabled or cell phone), computers and the Internet in the specific population of community mental health rehabilitation. Two surveys were conducted: with service-users on use/non-use of technologies, and interest in technology interventions and support; and with placements on facilities and support available to service-users. Levels of engagement in this population were substantially less than those recorded in the general UK and other clinical populations: 40.2% regularly use mobiles, 17.5% computers, and 14.4% the Internet. Users of all three technologies were significantly younger than non-users. Users of mobiles and computers were significantly more likely to live in lower support/higher independence placements. Of surveyed placements, 35.5% provide a communal computer and 38.7% IT skills sessions. Community mental health rehabilitation service-users risk finding themselves excluded by a "digital divide". Action is needed to ensure equal access to online opportunities, including healthcare innovations. Clinical and policy implications are discussed.

Digital Repositories and the Question of Data Usefulness

NASA Astrophysics Data System (ADS)

Hughes, J. S.; Downs, R. R.

2017-12-01

The advent of ISO standards for trustworthy long-term digital repositories provides both a set of principles to develop long-term data repositories and the instruments to assess them for trustworthiness. Such mandatory high-level requirements are broad enough to be achievable, to some extent, by many scientific data centers, archives, and other repositories. But the requirement that the data be useful in the future, the requirement that is usually considered to be most relevant to the value of the repository for its user communities, largely remains subject to various interpretations and misunderstanding. However, current and future users will be relying on repositories to preserve and disseminate the data and information needed to discover, understand, and utilize these resources to support their research, learning, and decision-making objectives. Therefore, further study is needed to determine the approaches that can be adopted by repositories to make data useful to future communities of users. This presentation will describe approaches for enabling scientific data and related information, such as software, to be useful for current and potential future user communities and will present the methodology chosen to make one science discipline's data useful for both current and future users. The method uses an ontology-based information model to define and capture the information necessary to make the data useful for contemporary and future users.

Consensus-based methodology for detection communities in multilayered networks

NASA Astrophysics Data System (ADS)

Karimi-Majd, Amir-Mohsen; Fathian, Mohammad; Makrehchi, Masoud

2018-03-01

Finding groups of network users who are densely related with each other has emerged as an interesting problem in the area of social network analysis. These groups or so-called communities would be hidden behind the behavior of users. Most studies assume that such behavior could be understood by focusing on user interfaces, their behavioral attributes or a combination of these network layers (i.e., interfaces with their attributes). They also assume that all network layers refer to the same behavior. However, in real-life networks, users' behavior in one layer may differ from their behavior in another one. In order to cope with these issues, this article proposes a consensus-based community detection approach (CBC). CBC finds communities among nodes at each layer, in parallel. Then, the results of layers should be aggregated using a consensus clustering method. This means that different behavior could be detected and used in the analysis. As for other significant advantages, the methodology would be able to handle missing values. Three experiments on real-life and computer-generated datasets have been conducted in order to evaluate the performance of CBC. The results indicate superiority and stability of CBC in comparison to other approaches.

Collaborative Filtering Recommendation on Users' Interest Sequences.

PubMed

Cheng, Weijie; Yin, Guisheng; Dong, Yuxin; Dong, Hongbin; Zhang, Wansong

2016-01-01

As an important factor for improving recommendations, time information has been introduced to model users' dynamic preferences in many papers. However, the sequence of users' behaviour is rarely studied in recommender systems. Due to the users' unique behavior evolution patterns and personalized interest transitions among items, users' similarity in sequential dimension should be introduced to further distinguish users' preferences and interests. In this paper, we propose a new collaborative filtering recommendation method based on users' interest sequences (IS) that rank users' ratings or other online behaviors according to the timestamps when they occurred. This method extracts the semantics hidden in the interest sequences by the length of users' longest common sub-IS (LCSIS) and the count of users' total common sub-IS (ACSIS). Then, these semantics are utilized to obtain users' IS-based similarities and, further, to refine the similarities acquired from traditional collaborative filtering approaches. With these updated similarities, transition characteristics and dynamic evolution patterns of users' preferences are considered. Our new proposed method was compared with state-of-the-art time-aware collaborative filtering algorithms on datasets MovieLens, Flixster and Ciao. The experimental results validate that the proposed recommendation method is effective and outperforms several existing algorithms in the accuracy of rating prediction.

Trust-Based Access Control Model from Sociological Approach in Dynamic Online Social Network Environment

PubMed Central

Kim, Seungjoo

2014-01-01

There has been an explosive increase in the population of the OSN (online social network) in recent years. The OSN provides users with many opportunities to communicate among friends and family. Further, it facilitates developing new relationships with previously unknown people having similar beliefs or interests. However, the OSN can expose users to adverse effects such as privacy breaches, the disclosing of uncontrolled material, and the disseminating of false information. Traditional access control models such as MAC, DAC, and RBAC are applied to the OSN to address these problems. However, these models are not suitable for the dynamic OSN environment because user behavior in the OSN is unpredictable and static access control imposes a burden on the users to change the access control rules individually. We propose a dynamic trust-based access control for the OSN to address the problems of the traditional static access control. Moreover, we provide novel criteria to evaluate trust factors such as sociological approach and evaluate a method to calculate the dynamic trust values. The proposed method can monitor negative behavior and modify access permission levels dynamically to prevent the indiscriminate disclosure of information. PMID:25374943

Trust-based access control model from sociological approach in dynamic online social network environment.

PubMed

Baek, Seungsoo; Kim, Seungjoo

2014-01-01

There has been an explosive increase in the population of the OSN (online social network) in recent years. The OSN provides users with many opportunities to communicate among friends and family. Further, it facilitates developing new relationships with previously unknown people having similar beliefs or interests. However, the OSN can expose users to adverse effects such as privacy breaches, the disclosing of uncontrolled material, and the disseminating of false information. Traditional access control models such as MAC, DAC, and RBAC are applied to the OSN to address these problems. However, these models are not suitable for the dynamic OSN environment because user behavior in the OSN is unpredictable and static access control imposes a burden on the users to change the access control rules individually. We propose a dynamic trust-based access control for the OSN to address the problems of the traditional static access control. Moreover, we provide novel criteria to evaluate trust factors such as sociological approach and evaluate a method to calculate the dynamic trust values. The proposed method can monitor negative behavior and modify access permission levels dynamically to prevent the indiscriminate disclosure of information.

Personalizing public health: your health avatar.

PubMed

Pereira, Chrystian; McNamara, Anusha; Sorge, Lindsay; Arya, Vibhuti

2013-01-01

To describe the creation of a health avatar, with the goals of providing patients with complete health information from various sources, establishing an interactive and customizable platform, empowering users to determine how the health information best fits or speaks to their personal needs, and providing perspective by comparing the health status of the individual with that of the individual's community. The Internet is rapidly becoming integrated into Americans' daily lives. According to the 2007 Health Information National Trends Study, 69% of U.S. adults had access to the Internet and 23% reported using a social networking site. The impact of social media has further grown, and an estimated 50% of adults in America have a profile on social media. The potential for using cyber communities to improve health messaging is great. Several health care organizations have implemented the use of social media in a variety of ways to varying degrees of success. We propose a platform that automatically gathers information and reflects the health status of an individual back to the user. An avatar, which is a representation of a user, could be created and assigned characteristics that allow users to appreciate their health status. The health avatar platform also would allow users to compare their personal status with that of their community. The overall goal is to engage and then motivate users to improve their overall health status. Medicine must acknowledge the evolving relationships that the next generation of patients will have with technology. The health avatar is a platform that incorporates a connection with the health system through electronic medical records and connects individuals to the greater community.

Supporting Snow Research: SnowEx Data and Services at the NASA National Snow and Ice Data Center DAAC

NASA Astrophysics Data System (ADS)

Leon, A.; Tanner, S.; Deems, J. S.

2017-12-01

The National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC), part of the Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder, will archive and distribute all primary data sets collected during the NASA SnowEx campaigns. NSIDC DAAC's overarching goal for SnowEx data management is to steward the diverse SnowEx data sets to provide a reliable long-term archive, to enable effective data discovery, retrieval, and usage, and to support end user engagement. This goal will be achieved though coordination and collaboration with SnowEx project management and investigators. NSIDC DAAC's core functions for SnowEx data management include: Data Creation: Advise investigators on data formats and structure as well as metadata creation and content to enable preservation, usability, and discoverability. Data Documentation: Develop comprehensive data set documentation describing the instruments, data collection and derivation methods, and data file contents. Data Distribution: Provide discovery and access through NSIDC and NASA data portals to make SnowEx data available to a broad user community Data & User Support: Assist user communities with the selection and usage of SnowEx data products. In an effort to educate and broaden the SnowEx user community, we will present an overview of the SnowEx data products, tools, and services which will be available at the NSIDC DAAC. We hope to gain further insight into how the DAAC can enable the user community to seamlessly and effectively utilize SnowEx data in their research and applications.

Factors affecting success of an integrated community-based telehealth system.

PubMed

Hsieh, Hui-Lung; Tsai, Chung-Hung; Chih, Wen-Hai; Lin, Huei-Hsieh

2015-01-01

The rise of chronic and degenerative diseases in developed countries has become one critical epidemiologic issue. Telehealth can provide one viable way to enhance health care, public health, and health education delivery and support. The study aims to empirically examine and evaluate the success factors of community-based telehealth system adoption. The valid 336 respondents are the residents of a rural community in Taiwan. The structural equation modeling (SEM) was used to assess the proposed model applied to telehealth. The findings showed the research model had good explanatory power and fitness. Also, the findings indicated that system quality exerted the strongest overall effect on intention to use. Furthermore, service quality exerted the strongest overall effect on user satisfaction. The findings also illustrated that the joint effects of three intrinsic qualities (system quality, information quality, and service quality) on use were mediated by user satisfaction and intention to use. The study implies that community-based telehealth service providers should improve three intrinsic qualities to enhance user satisfaction and intention to use, which in turn can lead to increase the usage of the telehealth equipment. The integrated community-based telehealth system may become an innovative and suitable way to deliver better care to the residents of communities.

The ecology of hydric hammocks: a community profile

USGS Publications Warehouse

Vince, Susan W.; Humphrey, Stephen R.; Simons, Robert W.

1989-01-01

This community profile is one in a series of Fish and Wildlife Service publications compiled to provide a state-of-knowledge synthesis of scientific information and literature on various coastal habitats. The subject of this profile is the hydric hammock, a distinctive type of forested wetland occurring at low elevations along the gulf coast of Florida from Aripeka to St. Marks and at various inland sites in Florida. Relatively little research has been conducted in hydric hammocks, and no thorough effort has been made previously to define this community. Consequently, no consensus has existed about the extent and nature of this community; some published works and active researchers have differed in their judgments about it; and the entity sometimes is ignored and often is lumped with other types of mixed hardwood forests. The purpose of this profile is to establish or clarify an identification and understanding of the hydric-hammock community. Information for the profile was gathered from published and unpublished literature, from persona 1 communication with many technical experts, and from our own fie 1 d experience. The profile includes some new data gathered in the field for the purpose of defining this community. It is hoped that the content and format of the profile will be useful to a broad spectrum of users, including other scientists, students, resource managers and planners, teachers, and interested citizens. The profile includes structural and functional aspects of the community: its physical setting, plant and animal composition and dynamics, interactions of its flora and fauna, and its relationships with other communities.

A resource management tool for public health continuity of operations during disasters.

PubMed

Turner, Anne M; Reeder, Blaine; Wallace, James C

2013-04-01

We developed and validated a user-centered information system to support the local planning of public health continuity of operations for the Community Health Services Division, Public Health - Seattle & King County, Washington. The Continuity of Operations Data Analysis (CODA) system was designed as a prototype developed using requirements identified through participatory design. CODA uses open-source software that links personnel contact and licensing information with needed skills and clinic locations for 821 employees at 14 public health clinics in Seattle and King County. Using a web-based interface, CODA can visualize locations of personnel in relationship to clinics to assist clinic managers in allocating public health personnel and resources under dynamic conditions. Based on user input, the CODA prototype was designed as a low-cost, user-friendly system to inventory and manage public health resources. In emergency conditions, the system can run on a stand-alone battery-powered laptop computer. A formative evaluation by managers of multiple public health centers confirmed the prototype design's usefulness. Emergency management administrators also provided positive feedback about the system during a separate demonstration. Validation of the CODA information design prototype by public health managers and emergency management administrators demonstrates the potential usefulness of building a resource management system using open-source technologies and participatory design principles.

REX2000 Version 2.5: Improved DATA Handling and Enhanced User-Interface

NASA Astrophysics Data System (ADS)

Taguchi, Takeyoshi

2007-02-01

XAFS analysis can be applied to various fields such as material science, environmental study, biological science, etc. and is widely used for characterization in those fields. In the early days that XAFS technique was started to be used, scientists wrote their own code for XAFS data analysis. As XAFS technique became very popular and XAFS community grew big, a several analysis code or package had been developed and submitted for people to use. The REX2000 is one of those XAFS analysis packages, which is commercially available. Counting up from its predecessor "REX", REX2000 has been used for more than 15 years in XAFS society. From the previous modification in 2003, a major change was made in this year of 2006. For a dynamical study of advanced material, many XAFS DATA were measured (quick XAFS and in-situ XAFS) and hundreds of DATA sets need to be processed. The REX2000's DATA handling is improved to cope with those huge volume DATA at once and report the fitting result as CSV file. Well-established user-interface is enhanced so that user can customize initial values for data analysis and specify the options through graphical interface. Many small changes are made and described in this paper.

A Resource Management Tool for Public Health Continuity of Operations During Disasters

PubMed Central

Turner, Anne M.; Reeder, Blaine; Wallace, James C.

2014-01-01

Objective We developed and validated a user-centered information system to support the local planning of public health continuity of operations for the Community Health Services Division, Public Health - Seattle & King County, Washington. Methods The Continuity of Operations Data Analysis (CODA) system was designed as a prototype developed using requirements identified through participatory design. CODA uses open-source software that links personnel contact and licensing information with needed skills and clinic locations for 821 employees at 14 public health clinics in Seattle and King County. Using a web-based interface, CODA can visualize locations of personnel in relationship to clinics to assist clinic managers in allocating public health personnel and resources under dynamic conditions. Results Based on user input, the CODA prototype was designed as a low-cost, user-friendly system to inventory and manage public health resources. In emergency conditions, the system can run on a stand-alone battery-powered laptop computer. A formative evaluation by managers of multiple public health centers confirmed the prototype design’s usefulness. Emergency management administrators also provided positive feedback about the system during a separate demonstration. Conclusions Validation of the CODA information design prototype by public health managers and emergency management administrators demonstrates the potential usefulness of building a resource management system using open-source technologies and participatory design principles. PMID:24618165

From Big Data to Small Transportable Products for Decision Support for Floods in Namibia

NASA Astrophysics Data System (ADS)

Mandl, D.; Frye, S.; Cappelaere, P.; Policelli, F.; Handy, M.; Sohlberg, R. A.; Grossman, R.

2013-12-01

During the past four years, a team from NASA, Oklahoma University, University of Maryland and University of Chicago in collaboration with the Namibia Hydrological Services (NHS) has explored ways to provide decision support products for floods. The products include a variety of data including a hydrological model, ground measurements such as river gauges, and earth remote sensing data. This poster or presentation highlights the lessons learned in acquiring, storing, managing big data on the cloud and turning it into relevant products for GEOSS users. Technology that has been explored includes the use of Hadoop/MapReduce and Accumulo to process and manage the large data sets. OpenStreetMap was explored for use in cataloging water boundaries and enabling collaborative mapping of the base water mask and floods. A Flood Dashboard was created to customize displays of various data products. Finally, a higher level Geo-Social Application Processing Interface (API) was developed so that users can discover, generate products dynamically for their specific needs/societal benefit areas and then share them with their Community of Practice over social networks. Results of this experiment have included 100x reduction in size of some flood products, making it possible to distribute these products to mobile platforms and/or bandwidth-limited users.

Low Cost Desktop Image Analysis Workstation With Enhanced Interactive User Interface

NASA Astrophysics Data System (ADS)

Ratib, Osman M.; Huang, H. K.

1989-05-01

A multimodality picture archiving and communication system (PACS) is in routine clinical use in the UCLA Radiology Department. Several types workstations are currently implemented for this PACS. Among them, the Apple Macintosh II personal computer was recently chosen to serve as a desktop workstation for display and analysis of radiological images. This personal computer was selected mainly because of its extremely friendly user-interface, its popularity among the academic and medical community and its low cost. In comparison to other microcomputer-based systems the Macintosh II offers the following advantages: the extreme standardization of its user interface, file system and networking, and the availability of a very large variety of commercial software packages. In the current configuration the Macintosh II operates as a stand-alone workstation where images are imported from a centralized PACS server through an Ethernet network using a standard TCP-IP protocol, and stored locally on magnetic disk. The use of high resolution screens (1024x768 pixels x 8bits) offer sufficient performance for image display and analysis. We focused our project on the design and implementation of a variety of image analysis algorithms ranging from automated structure and edge detection to sophisticated dynamic analysis of sequential images. Specific analysis programs were developed for ultrasound images, digitized angiograms, MRI and CT tomographic images and scintigraphic images.

Modelling information dissemination under privacy concerns in social media

NASA Astrophysics Data System (ADS)

Zhu, Hui; Huang, Cheng; Lu, Rongxing; Li, Hui

2016-05-01

Social media has recently become an important platform for users to share news, express views, and post messages. However, due to user privacy preservation in social media, many privacy setting tools are employed, which inevitably change the patterns and dynamics of information dissemination. In this study, a general stochastic model using dynamic evolution equations was introduced to illustrate how privacy concerns impact the process of information dissemination. Extensive simulations and analyzes involving the privacy settings of general users, privileged users, and pure observers were conducted on real-world networks, and the results demonstrated that user privacy settings affect information differently. Finally, we also studied the process of information diffusion analytically and numerically with different privacy settings using two classic networks.

Microbial Communities Are Well Adapted to Disturbances in Energy Input

PubMed Central

Vallino, Joseph J.

2016-01-01

ABSTRACT Although microbial systems are well suited for studying concepts in ecological theory, little is known about how microbial communities respond to long-term periodic perturbations beyond diel oscillations. Taking advantage of an ongoing microcosm experiment, we studied how methanotrophic microbial communities adapted to disturbances in energy input over a 20-day cycle period. Sequencing of bacterial 16S rRNA genes together with quantification of microbial abundance and ecosystem function were used to explore the long-term dynamics (510 days) of methanotrophic communities under continuous versus cyclic chemical energy supply. We observed that microbial communities appeared inherently well adapted to disturbances in energy input and that changes in community structure in both treatments were more dependent on internal dynamics than on external forcing. The results also showed that the rare biosphere was critical to seeding the internal community dynamics, perhaps due to cross-feeding or other strategies. We conclude that in our experimental system, internal feedbacks were more important than external drivers in shaping the community dynamics over time, suggesting that ecosystems can maintain their function despite inherently unstable community dynamics. IMPORTANCE Within the broader ecological context, biological communities are often viewed as stable and as only experiencing succession or replacement when subject to external perturbations, such as changes in food availability or the introduction of exotic species. Our findings indicate that microbial communities can exhibit strong internal dynamics that may be more important in shaping community succession than external drivers. Dynamic “unstable” communities may be important for ecosystem functional stability, with rare organisms playing an important role in community restructuring. Understanding the mechanisms responsible for internal community dynamics will certainly be required for understanding and manipulating microbiomes in both host-associated and natural ecosystems. PMID:27822558

Exploring user experience and technology acceptance for a fall prevention system: results from a randomized clinical trial and a living lab.

PubMed

Vaziri, Daryoush D; Aal, Konstantin; Ogonowski, Corinna; Von Rekowski, Thomas; Kroll, Michael; Marston, Hannah R; Poveda, Rakel; Gschwind, Yves J; Delbaere, Kim; Wieching, Rainer; Wulf, Volker

2016-01-01

Falls are common in older adults and can result in serious injuries. Due to demographic changes, falls and related healthcare costs are likely to increase over the next years. Participation and motivation of older adults in fall prevention measures remain a challenge. The iStoppFalls project developed an information and communication technology (ICT)-based system for older adults to use at home in order to reduce common fall risk factors such as impaired balance and muscle weakness. The system aims at increasing older adults' motivation to participate in ICT-based fall prevention measures. This article reports on usability, user-experience and user-acceptance aspects affecting the use of the iStoppFalls system by older adults. In the course of a 16-week international multicenter study, 153 community-dwelling older adults aged 65+ participated in the iStoppFalls randomized controlled trial, of which half used the system in their home to exercise and assess their risk of falling. During the study, 60 participants completed questionnaires regarding the usability, user experience and user acceptance of the iStoppFalls system. Usability was measured with the System Usability Scale (SUS). For user experience the Physical Activity Enjoyment Scale (PACES) was applied. User acceptance was assessed with the Dynamic Acceptance Model for the Re-evaluation of Technologies (DART). To collect more detailed data on usability, user experience and user acceptance, additional qualitative interviews and observations were conducted with participants. Participants evaluated the usability of the system with an overall score of 62 (Standard Deviation, SD 15.58) out of 100, which suggests good usability. Most users enjoyed the iStoppFalls games and assessments, as shown by the overall PACES score of 31 (SD 8.03). With a score of 0.87 (SD 0.26), user acceptance results showed that participants accepted the iStoppFalls system for use in their own home. Interview data suggested that certain factors such as motivation, complexity or graphical design were different for gender and age. The results suggest that the iStoppFalls system has good usability, user experience and user acceptance. It will be important to take these along with factors such as motivation, gender and age into consideration when designing and further developing ICT-based fall prevention systems.

Dynamic characteristics of tweeting and tweet topics

NASA Astrophysics Data System (ADS)

Kwon, Hyun Woong; Choi, M. Y.; Kim, Ho Sung; Lee, Keumsook

2012-02-01

Twitter, having more than 200 million world users and more than 4 million Korean users, is still growing fast. Because Twitter users can `tweet' about any topic within the 140-character limit, and other users who follow the users and see the tweets can `retweet' them, Twitter is regarded as a new medium of transferring and sharing information. Nevertheless, the propensities of Twitter users to tweet or to retweet still remain unclear. In order to investigate these propensities, we propose a simple model for the dynamics of the total number of tweets about specific topics. We then observe that the topics can be categorized into three kinds according to predictability and sustainability: predictable events, unpredictable events, and sustainable events. Comparing model results with real data, we infer the tweet propensities motivated by external causes as well as retweet propensities.

Community-based participatory research and user-centered design in a diabetes medication information and decision tool.

PubMed

Henderson, Vida A; Barr, Kathryn L; An, Lawrence C; Guajardo, Claudia; Newhouse, William; Mase, Rebecca; Heisler, Michele

2013-01-01

Together, community-based participatory research (CBPR), user-centered design (UCD), and health information technology (HIT) offer promising approaches to improve health disparities in low-resource settings. This article describes the application of CBPR and UCD principles to the development of iDecide/Decido, an interactive, tailored, web-based diabetes medication education and decision support tool delivered by community health workers (CHWs) to African American and Latino participants with diabetes in Southwest and Eastside Detroit. The decision aid is offered in English or Spanish and is delivered on an iPad in participants' homes. The overlapping principles of CBPR and UCD used to develop iDecide/Decido include a user-focused or community approach, equitable academic and community partnership in all study phases, an iterative development process that relies on input from all stakeholders, and a program experience that is specified, adapted, and implemented with the target community. Collaboration between community members, researchers, and developers is especially evident in the program's design concept, animations, pictographs, issue cards, goal setting, tailoring, and additional CHW tools. The principles of CBPR and UCD can be successfully applied in developing health information tools that are easy to use and understand, interactive, and target health disparities.

Identification of influential users by neighbors in online social networks

NASA Astrophysics Data System (ADS)

Sheikhahmadi, Amir; Nematbakhsh, Mohammad Ali; Zareie, Ahmad

2017-11-01

Identification and ranking of influential users in social networks for the sake of news spreading and advertising has recently become an attractive field of research. Given the large number of users in social networks and also the various relations that exist among them, providing an effective method to identify influential users has been gradually considered as an essential factor. In most of the already-provided methods, those users who are located in an appropriate structural position of the network are regarded as influential users. These methods do not usually pay attention to the interactions among users, and also consider those relations as being binary in nature. This paper, therefore, proposes a new method to identify influential users in a social network by considering those interactions that exist among the users. Since users tend to act within the frame of communities, the network is initially divided into different communities. Then the amount of interaction among users is used as a parameter to set the weight of relations existing within the network. Afterward, by determining the neighbors' role for each user, a two-level method is proposed for both detecting users' influence and also ranking them. Simulation and experimental results on twitter data shows that those users who are selected by the proposed method, comparing to other existing ones, are distributed in a more appropriate distance. Moreover, the proposed method outperforms the other ones in terms of both the influential speed and capacity of the users it selects.

A critical evaluation of ecological indices for the comparative analysis of microbial communities based on molecular datasets.

PubMed

Lucas, Rico; Groeneveld, Jürgen; Harms, Hauke; Johst, Karin; Frank, Karin; Kleinsteuber, Sabine

2017-01-01

In times of global change and intensified resource exploitation, advanced knowledge of ecophysiological processes in natural and engineered systems driven by complex microbial communities is crucial for both safeguarding environmental processes and optimising rational control of biotechnological processes. To gain such knowledge, high-throughput molecular techniques are routinely employed to investigate microbial community composition and dynamics within a wide range of natural or engineered environments. However, for molecular dataset analyses no consensus about a generally applicable alpha diversity concept and no appropriate benchmarking of corresponding statistical indices exist yet. To overcome this, we listed criteria for the appropriateness of an index for such analyses and systematically scrutinised commonly employed ecological indices describing diversity, evenness and richness based on artificial and real molecular datasets. We identified appropriate indices warranting interstudy comparability and intuitive interpretability. The unified diversity concept based on 'effective numbers of types' provides the mathematical framework for describing community composition. Additionally, the Bray-Curtis dissimilarity as a beta-diversity index was found to reflect compositional changes. The employed statistical procedure is presented comprising commented R-scripts and example datasets for user-friendly trial application. © FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Links between real and virtual networks: a comparative study of online communities in Japan and Korea.

PubMed

Ishii, Kenichi; Ogasahara, Morihiro

2007-04-01

The present study explores how online communities affect real-world personal relations based on a cross-cultural survey conducted in Japan and Korea. Findings indicate that the gratifications of online communities moderate the effects of online communities on social participation. Online communities are categorized into a real-group-based community and a virtual-network-based community. The membership of real-group-based online community is positively correlated with social bonding gratification and negatively correlated with information- seeking gratification. Japanese users prefer more virtual-network-based online communities, while their Korean counterparts prefer real-group-based online communities. Korean users are more active in online communities and seek a higher level of socializing gratifications, such as social bonding and making new friends, when compared with their Japanese counterparts. These results indicate that in Korea, personal relations via the online community are closely associated with the real-world personal relations, but this is not the case in Japan. This study suggests that the effects of the Internet are culture-specific and that the online community can serve a different function in different cultural environments.

mcaGUI: microbial community analysis R-Graphical User Interface (GUI).

PubMed

Copeland, Wade K; Krishnan, Vandhana; Beck, Daniel; Settles, Matt; Foster, James A; Cho, Kyu-Chul; Day, Mitch; Hickey, Roxana; Schütte, Ursel M E; Zhou, Xia; Williams, Christopher J; Forney, Larry J; Abdo, Zaid

2012-08-15

Microbial communities have an important role in natural ecosystems and have an impact on animal and human health. Intuitive graphic and analytical tools that can facilitate the study of these communities are in short supply. This article introduces Microbial Community Analysis GUI, a graphical user interface (GUI) for the R-programming language (R Development Core Team, 2010). With this application, researchers can input aligned and clustered sequence data to create custom abundance tables and perform analyses specific to their needs. This GUI provides a flexible modular platform, expandable to include other statistical tools for microbial community analysis in the future. The mcaGUI package and source are freely available as part of Bionconductor at http://www.bioconductor.org/packages/release/bioc/html/mcaGUI.html

Jointly They Edit: Examining the Impact of Community Identification on Political Interaction in Wikipedia

PubMed Central

Neff, Jessica J.; Laniado, David; Kappler, Karolin E.; Volkovich, Yana; Aragón, Pablo; Kaltenbrunner, Andreas

2013-01-01

Background In their 2005 study, Adamic and Glance coined the memorable phrase ‘divided they blog’, referring to a trend of cyberbalkanization in the political blogosphere, with liberal and conservative blogs tending to link to other blogs with a similar political slant, and not to one another. As political discussion and activity increasingly moves online, the power of framing political discourses is shifting from mass media to social media. Methodology/Principal Findings Continued examination of political interactions online is critical, and we extend this line of research by examining the activities of political users within the Wikipedia community. First, we examined how users in Wikipedia choose to display their political affiliation. Next, we analyzed the patterns of cross-party interaction and community participation among those users proclaiming a political affiliation. In contrast to previous analyses of other social media, we did not find strong trends indicating a preference to interact with members of the same political party within the Wikipedia community. Conclusions/Significance Our results indicate that users who proclaim their political affiliation within the community tend to proclaim their identity as a ‘Wikipedian’ even more loudly. It seems that the shared identity of ‘being Wikipedian’ may be strong enough to triumph over other potentially divisive facets of personal identity, such as political affiliation. PMID:23573269

MaGate Simulator: A Simulation Environment for a Decentralized Grid Scheduler

NASA Astrophysics Data System (ADS)

Huang, Ye; Brocco, Amos; Courant, Michele; Hirsbrunner, Beat; Kuonen, Pierre

This paper presents a simulator for of a decentralized modular grid scheduler named MaGate. MaGate’s design emphasizes scheduler interoperability by providing intelligent scheduling serving the grid community as a whole. Each MaGate scheduler instance is able to deal with dynamic scheduling conditions, with continuously arriving grid jobs. Received jobs are either allocated on local resources, or delegated to other MaGates for remote execution. The proposed MaGate simulator is based on GridSim toolkit and Alea simulator, and abstracts the features and behaviors of complex fundamental grid elements, such as grid jobs, grid resources, and grid users. Simulation of scheduling tasks is supported by a grid network overlay simulator executing distributed ant-based swarm intelligence algorithms to provide services such as group communication and resource discovery. For evaluation, a comparison of behaviors of different collaborative policies among a community of MaGates is provided. Results support the use of the proposed approach as a functional ready grid scheduler simulator.

Dynamic Spectrum Access for Internet of Things Service in Cognitive Radio-Enabled LPWANs

PubMed Central

Moon, Bongkyo

2017-01-01

In this paper, we focus on a dynamic spectrum access strategy for Internet of Things (IoT) applications in two types of radio systems: cellular networks and cognitive radio-enabled low power wide area networks (CR-LPWANs). The spectrum channel contention between the licensed cellular networks and the unlicensed CR-LPWANs, which work with them, only takes place within the cellular radio spectrum range. Our aim is to maximize the spectrum capacity for the unlicensed users while ensuring that it never interferes with the licensed network. Therefore, in this paper we propose a dynamic spectrum access strategy for CR-LPWANs operating in both licensed and unlicensed bands. The simulation and the numerical analysis by using a matrix geometric approach for the strategy are presented. Finally, we obtain the blocking probability of the licensed users, the mean dwell time of the unlicensed user, and the total carried traffic and combined service quality for the licensed and unlicensed users. The results show that the proposed strategy can maximize the spectrum capacity for the unlicensed users using IoT applications as well as keep the service quality of the licensed users independent of them. PMID:29206215

Dynamic Spectrum Access for Internet of Things Service in Cognitive Radio-Enabled LPWANs.

PubMed

Moon, Bongkyo

2017-12-05

In this paper, we focus on a dynamic spectrum access strategy for Internet of Things (IoT) applications in two types of radio systems: cellular networks and cognitive radio-enabled low power wide area networks (CR-LPWANs). The spectrum channel contention between the licensed cellular networks and the unlicensed CR-LPWANs, which work with them, only takes place within the cellular radio spectrum range. Our aim is to maximize the spectrum capacity for the unlicensed users while ensuring that it never interferes with the licensed network. Therefore, in this paper we propose a dynamic spectrum access strategy for CR-LPWANs operating in both licensed and unlicensed bands. The simulation and the numerical analysis by using a matrix geometric approach for the strategy are presented. Finally, we obtain the blocking probability of the licensed users, the mean dwell time of the unlicensed user, and the total carried traffic and combined service quality for the licensed and unlicensed users. The results show that the proposed strategy can maximize the spectrum capacity for the unlicensed users using IoT applications as well as keep the service quality of the licensed users independent of them.

Primary care quality: community health center and health maintenance organization.

PubMed

Shi, Leiyu; Starfield, Barbara; Xu, Jiahong; Politzer, Robert; Regan, Jerrilyn

2003-08-01

This study compares the primary health care quality of community health centers (CHCs) and health maintenance organizations (HMOs) in South Carolina to elucidate the quality of CHC performance relative to mainstream settings such as the HMO. Mail surveys were used to obtain data from 350 randomly selected HMO users. Surveys with follow-up interviews were conducted to obtain data from 540 randomly selected CHC users. A validated adult primary care assessment tool was used in both surveys. Multivariate analyses were performed to assess the association of health care setting (HMO versus CHC) with primary care quality while controlling for sociodemographic and health care characteristics. After controlling for sociodemographic and health care use measures, CHC patients demonstrated higher scores in several primary care domains (ongoing care, coordination of service, comprehensiveness, and community orientation) as well as total primary care performance. Users of CHC are more likely than HMO users to rate their primary health care provider as good, except in the area of ease of first contact. The positive rating of the CHC is particularly impressive after taking into account that many CHC users have characteristics associated with poorer ratings of care.

The right place? Users and professionals' constructions of the place's influence on personal recovery in community mental health services.

PubMed

Femdal, Ingrid

2018-01-01

Current mental health policy emphasizes the importance of community-based service delivery for people with mental health problems to encompass personal recovery. The aim of this study is to explore how users and professionals construct the place's influence on personal recovery in community mental health services. This is a qualitative, interpretive study based on ten individual, semi-structured interviews with users and professionals, respectively. A discourse analysis inspired by the work of Foucault was used to analyze the interviews. The findings show how place can be constructed as a potential for and as a barrier against recovery. Constructions of the aim of the services matter when choosing a place for the services. Further, constructions of user-professional relationships and flexibility are important in the constructions of an appropriate place for the services. The aim of the service, the user-professional relationship, and flexibility in choosing place were essential in the participants' constructions. To find "the right place" for mental health services was constructed as context-sensitive and complex processes of assessment and co-determination. Trial registration The study is approved by the Regional Committee for Medical Research Ethics, Norway (REK-Midt 2011/2057).

Leveraging Globus to Support Access and Delivery of Scientific Data

NASA Astrophysics Data System (ADS)

Cram, T.; Schuster, D.; Ji, Z.; Worley, S. J.

2015-12-01

The NCAR Research Data Archive (RDA; http://rda.ucar.edu) contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis outputs, and remote sensing datasets to support atmospheric and geoscience research. The RDA contains greater than 600 dataset collections which support the varying needs of a diverse user community. The number of RDA users is increasing annually, and the most popular method used to access the RDA data holdings is through web based protocols, such as wget and cURL based scripts. In the year 2014, 11,000 unique users downloaded greater than 1.1 petabytes of data from the RDA, and customized data products were prepared for more than 45,000 user-driven requests. In order to further support this increase in web download usage, the RDA has implemented the Globus data transfer service (www.globus.org) to provide a GridFTP data transfer option for the user community. The Globus service is broadly scalable, has an easy to install client, is sustainably supported, and provides a robust, efficient, and reliable data transfer option for the research community. This presentation will highlight the technical functionality, challenges, and usefulness of the Globus data transfer service for accessing the RDA data holdings.

Spaceflight Operations Services Grid (SOSG)

NASA Technical Reports Server (NTRS)

Bradford, Robert N.; Thigpen, William W.

2004-01-01

In an effort to adapt existing space flight operations services to new emerging Grid technologies we are developing a Grid-based prototype space flight operations Grid. This prototype is based on the operational services being provided to the International Space Station's Payload operations located at the Marshall Space Flight Center, Alabama. The prototype services will be Grid or Web enabled and provided to four user communities through portal technology. Users will have the opportunity to assess the value and feasibility of Grid technologies to their specific areas or disciplines. In this presentation descriptions of the prototype development, User-based services, Grid-based services and status of the project will be presented. Expected benefits, findings and observations (if any) to date will also be discussed. The focus of the presentation will be on the project in general, status to date and future plans. The End-use services to be included in the prototype are voice, video, telemetry, commanding, collaboration tools and visualization among others. Security is addressed throughout the project and is being designed into the Grid technologies and standards development. The project is divided into three phases. Phase One establishes the baseline User-based services required for space flight operations listed above. Phase Two involves applying Gridlweb technologies to the User-based services and development of portals for access by users. Phase Three will allow NASA and end users to evaluate the services and determine the future of the technology as applied to space flight operational services. Although, Phase One, which includes the development of the quasi-operational User-based services of the prototype, development will be completed by March 2004, the application of Grid technologies to these services will have just begun. We will provide status of the Grid technologies to the individual User-based services. This effort will result in an extensible environment that incorporates existing and new spaceflight services into a standards-based framework providing current and future NASA programs with cost savings and new and evolvable methods to conduct science. This project will demonstrate how the use of new programming paradigms such as web and grid services can provide three significant benefits to the cost-effective delivery of spaceflight services. They will enable applications to operate more efficiently by being able to utilize pooled resources. They will also permit the reuse of common services to rapidly construct new and more powerful applications. Finally they will permit easy and secure access to services via a combination of grid and portal technology by a distributed user community consisting of NASA operations centers, scientists, the educational community and even the general population as outreach. The approach will be to deploy existing mission support applications such as the Telescience Resource Kit (TReK) and new applications under development, such as the Grid Video Distribution System (GViDS), together with existing grid applications and services such as high-performance computing and visualization services provided by NASA s Information Power Grid (IPG) in the MSFC s Payload Operations Integration Center (POIC) HOSC Annex. Once the initial applications have been moved to the grid, a process will begin to apply the new programming paradigms to integrate them where possible. For example, with GViDS, instead of viewing the Distribution service as an application that must run on a single node, the new approach is to build it such that it can be dispatched across a pool of resources in response to dynamic loads. To make this a reality, reusable services will be critical, such as a brokering service to locate appropriate resource within the pool. This brokering service can then be used by other applications such as the TReK. To expand further, if the GViDS application is constructed using a services-based mel, then other applications such as the Video Auditorium can then use GViDS as a service to easily incorporate these video streams into a collaborative conference. Finally, as these applications are re-factored into this new services-based paradigm, the construction of portals to integrate them will be a simple process. As a result, portals can be tailored to meet the requirements of specific user communities.

User interface issues in supporting human-computer integrated scheduling

NASA Technical Reports Server (NTRS)

Cooper, Lynne P.; Biefeld, Eric W.

1991-01-01

The topics are presented in view graph form and include the following: characteristics of Operations Mission Planner (OMP) schedule domain; OMP architecture; definition of a schedule; user interface dimensions; functional distribution; types of users; interpreting user interaction; dynamic overlays; reactive scheduling; and transitioning the interface.

JHelioviewer: Open-Source Software for Discovery and Image Access in the Petabyte Age (Invited)

NASA Astrophysics Data System (ADS)

Mueller, D.; Dimitoglou, G.; Langenberg, M.; Pagel, S.; Dau, A.; Nuhn, M.; Garcia Ortiz, J. P.; Dietert, H.; Schmidt, L.; Hughitt, V. K.; Ireland, J.; Fleck, B.

2010-12-01

The unprecedented torrent of data returned by the Solar Dynamics Observatory is both a blessing and a barrier: a blessing for making available data with significantly higher spatial and temporal resolution, but a barrier for scientists to access, browse and analyze them. With such staggering data volume, the data is bound to be accessible only from a few repositories and users will have to deal with data sets effectively immobile and practically difficult to download. From a scientist's perspective this poses three challenges: accessing, browsing and finding interesting data while avoiding the proverbial search for a needle in a haystack. To address these challenges, we have developed JHelioviewer, an open-source visualization software that lets users browse large data volumes both as still images and movies. We did so by deploying an efficient image encoding, storage, and dissemination solution using the JPEG 2000 standard. This solution enables users to access remote images at different resolution levels as a single data stream. Users can view, manipulate, pan, zoom, and overlay JPEG 2000 compressed data quickly, without severe network bandwidth penalties. Besides viewing data, the browser provides third-party metadata and event catalog integration to quickly locate data of interest, as well as an interface to the Virtual Solar Observatory to download science-quality data. As part of the Helioviewer Project, JHelioviewer offers intuitive ways to browse large amounts of heterogeneous data remotely and provides an extensible and customizable open-source platform for the scientific community.

Balance impairment in chronic antiepileptic drug users: a twin and sibling study.

PubMed

Petty, Sandra J; Hill, Keith D; Haber, Natalie E; Paton, Lynda M; Lawrence, Kate M; Berkovic, Samuel F; Seibel, Markus J; O'Brien, Terence J; Wark, John D

2010-02-01

Patients taking antiepileptic drugs (AEDs) have an increased incidence of fractures. This study investigated chronic AED use and physical contributors to falls risk using an AED-discordant, twin and sibling matched-pair approach, and assessed clinically relevant subgroups: AED polytherapy; longer-duration AED; and falls history. Twenty-nine same-sex (mean age 44.9 years, 59% female), ambulatory, community-dwelling twin and sibling pairs, discordant for AED exposure (and AED-indication), were recruited. Validated clinical and laboratory tests of strength, gait, and balance were performed. Relevant AED levels, and fasting serum samples for 25-hydroxyvitamin D (25OHD), 1,25-dihydroxyvitamin D [1,25(OH)(2)D], and immunoreactive parathyroid hormone (iPTH) levels were taken. There were significant mean within-pair differences in tests of static and dynamic balance, with the AED user having poorer balance function than the AED nonuser. No difference was seen in lower limb strength or gait measures. Increased duration of AED therapy and AED polytherapy were independent predictors of increased sway. No significant within-pair differences were seen in fasting serum levels of 1,25(OH)(2)D, 25OHD and iPTH after Bonferroni correction. Balance performance is impaired in AED users compared to their matched nonuser siblings. Pairs where the AED users took AED polytherapy, or had a longer duration of AED use, had more impaired balance performance. These balance deficits may contribute to the increased rate of fractures in this population.

Earth Science Data for a Mobile Age

NASA Astrophysics Data System (ADS)

Oostra, D.; Chambers, L. H.; Lewis, P. M.; Baize, R.; Oots, P.; Rogerson, T.; Crecelius, S.; Coleman, T.

2012-12-01

Earth science data access needs to be interoperable and automatic. Recently, increasingly savvy data users combined with more complex web and mobile applications have placed increasing demands on how this Earth science data is being delivered to educators and students. The MY NASA DATA (MND) and S'COOL projects are developing a strategy to interact with the education community in the age of mobile devices and platforms. How can we provide data and meaningful scientific experiences to educational users through mobile technologies? This initiative will seek out existing technologies and stakeholders within the Earth Science community to identify datasets that are relevant and appropriate for mobile application development and use by the educational community. Targeting efforts within the educational community will give the project a better understanding of the previous attempts at data/mobile application use in the classroom and its problems. In addition, we will query developers and data providers on what successes and failures they've experienced in trying to provide data for applications designed on mobile platforms. This feedback will be implemented in new websites, applications and lessons that will provide authentic scientific experiences for students and end users. We want to create tools that help sort through the vast amounts of NASA data, and deliver it to users automatically. NASA provides millions of gigabytes of data that is publicly available through a large number of services spread across the World Wide Web. Accessing and navigating this data can be time consuming and problematic with variety of file types and methods for accessing this data. The MND project, through its' Live Access Server system, provides selected datasets that are relevant and targets National Standards of Learning for educators to easily integrate into existing curricula. In the future, we want to provide desired data to users with automatic updates, anticipate future data queries/needs and generate new data combinations--targeting users with a web 3.0 methodology. We will examine applications that give users direct access to data in near real-time and find solutions for the educational community. MND and S'COOL will identify trends in the mobile and web application sectors to provide the greatest effect upon relevant audiences within the science and educational communities. Greater access is the goal, with an acute focus on educating our future explorers and scientists with tools and data that will provide the most efficacy, use, and enriching science experiences. Current trends point to cross-platform web applications as being the most effective and efficient means of delivering content, data, and ideas to end users. Universal availability of key datasets on any device will encourage users to continue to use data and attract potential data users and providers. Projected Outcomes Initially, the outcome for this work is to increase the effectiveness of the MND and S'COOL projects by learning more about our users needs and anticipating how data will be used in the future. Through our work we will increase exposure and ease of access to NASA datasets relevant to our communities. Our goal is to focus on our participants mobile usage in the classroom, thereby gaining a greater understanding on how data is being used to teach students about the Earth and begin to develop better tools and technologies.

Consolidated science and user needs for a sustained satellite gravity observing system

NASA Astrophysics Data System (ADS)

Pail, R.

2015-12-01

In an internationally coordinated initiative among the main user communities of gravity field products the science requirements for a future gravity field mission constellation (beyond GRACE-FO) have been reviewed and defined. This activity was realized as a joint initiative of the IAG (International Association of Geodesy) Sub-Commissions 2.3 and 2.6, the GGOS (Global Geodetic Observing System) Working Group on Satellite Missions, and the IUGG (International Union of Geodesy and Geophysics). After about one year of preparation, in a user workshop that was held in September 2014 consensus among the user communities of hydrology, ocean, cryosphere, solid Earth and atmosphere on consolidated science requirements could be achieved.The consolidation of the user requirements became necessary, because several future gravity field studies have resulted in quite different performance numbers as a target for a future gravity mission (2025+). Based on limited number of mission scenarios which took also technical feasibility into account, a consolidated view on the science requirements among the international user communities was derived, research fields that could not be tackled by current gravity missions have been identified, and the added value (qualitatively and quantitatively) of these scenarios with respect to science return has been evaluated. The resulting document shall form the basis for further programmatic and technological developments. In this contribution, the main results of this initiative will be presented. An overview of the specific requirements of the individual user groups, the consensus on consolidated science and user needs as well as the new research fields that have been identified during this process will be discussed.

Demonstrating the climate4impact portal: bridging the CMIP5 data infrastructure to impact users

NASA Astrophysics Data System (ADS)

Plieger, Maarten; Som de Cerff, Wim; Page, Christian; Hutjes, Ronald; de Jong, Fokke; Bärring, Lars; Sjökvist, Elin

2013-04-01

Together with seven other partners (CERFACS, CNRS-IPSL, SMHI, INHGA, CMCC, WUR, MF-CNRM), KNMI is involved in the FP7 project IS-ENES (http://is.enes.org), which supports the European climate modeling infrastructure, in the work package 'Bridging Climate Research Data and the Needs of the Impact Community'. The aim of this work package is to enhance the use of climate model data and to enhance the interaction with climate effect/impact communities. The portal is based on 17 impact use cases from 5 different European countries, and is evaluated by a user panel consisting of use case owners. As the climate impact community is very broad, the focus is mainly on the scientific impact community. This work has resulted in a prototype portal, the ENES portal interface for climate impact communities, that can be visited at www.climate4impact.eu. The portal is connected to all Earth System Grid Federation (ESGF) nodes containing global climate model data (GCM data) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) and later from the Coordinated Regional Climate Downscaling Experiment (CORDEX). This global network of all major climate model data centers offers services for data description, discovery and download. The climate4impact portal connects to these services and offers a user interface for searching, visualizing and downloading global climate model data and more. During the project, the content management system Drupal was used to enable partners to contribute on the documentation section. The following topics will be demonstrated: - Security: Login using OpenID for access to the ESG data nodes. The ESG works in conjunction with several external websites and systems. The climate4impact portal uses X509 based short lived credentials, generated on behalf of the user with a MyProxy service. Single Sign-on (SSO) is used to make these websites and systems work together. - Discovery: Facetted search based on e.g. variable name, model and institute using the ESG search services. A catalog browser allows for browsing through CMIP5 and other climate model data catalogues (e.g. ESSENCE, EOBS, UNIDATA). - Download: Directly from ESG nodes and other THREDDS catalogs - Visualization: Visualize any data directly using ADAGUC dynamic Web Map Services. - Transformation: Transform your data into other formats, perform basic calculations and extractions using OCG Web Processing Services The current portal is a Prototype. It is built to explore state-of-art technologies to provide improved access to climate model data. The prototype will be evaluated and is the basis for development of an operational service. The portal and services provided will be sustained and supported during the development of these operational services (2013-2016) in the second phase of the FP7 IS-ENES project, ISENES2.

Seed: a user-friendly tool for exploring and visualizing microbial community data.

PubMed

Beck, Daniel; Dennis, Christopher; Foster, James A

2015-02-15

In this article we present Simple Exploration of Ecological Data (Seed), a data exploration tool for microbial communities. Seed is written in R using the Shiny library. This provides access to powerful R-based functions and libraries through a simple user interface. Seed allows users to explore ecological datasets using principal coordinate analyses, scatter plots, bar plots, hierarchal clustering and heatmaps. Seed is open source and available at https://github.com/danlbek/Seed. danlbek@gmail.com Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press.

IPR 1.0: an efficient method for calculating solar radiation absorbed by individual plants in sparse heterogeneous woody plant communities

NASA Astrophysics Data System (ADS)

Zhang, Y.; Chen, W.; Li, J.

2014-07-01

Climate change may alter the spatial distribution, composition, structure and functions of plant communities. Transitional zones between biomes, or ecotones, are particularly sensitive to climate change. Ecotones are usually heterogeneous with sparse trees. The dynamics of ecotones are mainly determined by the growth and competition of individual plants in the communities. Therefore it is necessary to calculate the solar radiation absorbed by individual plants in order to understand and predict their responses to climate change. In this study, we developed an individual plant radiation model, IPR (version 1.0), to calculate solar radiation absorbed by individual plants in sparse heterogeneous woody plant communities. The model is developed based on geometrical optical relationships assuming that crowns of woody plants are rectangular boxes with uniform leaf area density. The model calculates the fractions of sunlit and shaded leaf classes and the solar radiation absorbed by each class, including direct radiation from the sun, diffuse radiation from the sky, and scattered radiation from the plant community. The solar radiation received on the ground is also calculated. We tested the model by comparing with the results of random distribution of plants. The tests show that the model results are very close to the averages of the random distributions. This model is efficient in computation, and can be included in vegetation models to simulate long-term transient responses of plant communities to climate change. The code and a user's manual are provided as Supplement of the paper.

VisOHC: Designing Visual Analytics for Online Health Communities

PubMed Central

Kwon, Bum Chul; Kim, Sung-Hee; Lee, Sukwon; Choo, Jaegul; Huh, Jina; Yi, Ji Soo

2015-01-01

Through online health communities (OHCs), patients and caregivers exchange their illness experiences and strategies for overcoming the illness, and provide emotional support. To facilitate healthy and lively conversations in these communities, their members should be continuously monitored and nurtured by OHC administrators. The main challenge of OHC administrators' tasks lies in understanding the diverse dimensions of conversation threads that lead to productive discussions in their communities. In this paper, we present a design study in which three domain expert groups participated, an OHC researcher and two OHC administrators of online health communities, which was conducted to find with a visual analytic solution. Through our design study, we characterized the domain goals of OHC administrators and derived tasks to achieve these goals. As a result of this study, we propose a system called VisOHC, which visualizes individual OHC conversation threads as collapsed boxes–a visual metaphor of conversation threads. In addition, we augmented the posters' reply authorship network with marks and/or beams to show conversation dynamics within threads. We also developed unique measures tailored to the characteristics of OHCs, which can be encoded for thread visualizations at the users' requests. Our observation of the two administrators while using VisOHC showed that it supports their tasks and reveals interesting insights into online health communities. Finally, we share our methodological lessons on probing visual designs together with domain experts by allowing them to freely encode measurements into visual variables. PMID:26529688

VisOHC: Designing Visual Analytics for Online Health Communities.

PubMed

Kwon, Bum Chul; Kim, Sung-Hee; Lee, Sukwon; Choo, Jaegul; Huh, Jina; Yi, Ji Soo

2016-01-01

Through online health communities (OHCs), patients and caregivers exchange their illness experiences and strategies for overcoming the illness, and provide emotional support. To facilitate healthy and lively conversations in these communities, their members should be continuously monitored and nurtured by OHC administrators. The main challenge of OHC administrators' tasks lies in understanding the diverse dimensions of conversation threads that lead to productive discussions in their communities. In this paper, we present a design study in which three domain expert groups participated, an OHC researcher and two OHC administrators of online health communities, which was conducted to find with a visual analytic solution. Through our design study, we characterized the domain goals of OHC administrators and derived tasks to achieve these goals. As a result of this study, we propose a system called VisOHC, which visualizes individual OHC conversation threads as collapsed boxes-a visual metaphor of conversation threads. In addition, we augmented the posters' reply authorship network with marks and/or beams to show conversation dynamics within threads. We also developed unique measures tailored to the characteristics of OHCs, which can be encoded for thread visualizations at the users' requests. Our observation of the two administrators while using VisOHC showed that it supports their tasks and reveals interesting insights into online health communities. Finally, we share our methodological lessons on probing visual designs together with domain experts by allowing them to freely encode measurements into visual variables.

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection.

PubMed

Surian, Didi; Nguyen, Dat Quoc; Kennedy, Georgina; Johnson, Mark; Coiera, Enrico; Dunn, Adam G

2016-08-29

In public health surveillance, measuring how information enters and spreads through online communities may help us understand geographical variation in decision making associated with poor health outcomes. Our aim was to evaluate the use of community structure and topic modeling methods as a process for characterizing the clustering of opinions about human papillomavirus (HPV) vaccines on Twitter. The study examined Twitter posts (tweets) collected between October 2013 and October 2015 about HPV vaccines. We tested Latent Dirichlet Allocation and Dirichlet Multinomial Mixture (DMM) models for inferring topics associated with tweets, and community agglomeration (Louvain) and the encoding of random walks (Infomap) methods to detect community structure of the users from their social connections. We examined the alignment between community structure and topics using several common clustering alignment measures and introduced a statistical measure of alignment based on the concentration of specific topics within a small number of communities. Visualizations of the topics and the alignment between topics and communities are presented to support the interpretation of the results in context of public health communication and identification of communities at risk of rejecting the safety and efficacy of HPV vaccines. We analyzed 285,417 Twitter posts (tweets) about HPV vaccines from 101,519 users connected by 4,387,524 social connections. Examining the alignment between the community structure and the topics of tweets, the results indicated that the Louvain community detection algorithm together with DMM produced consistently higher alignment values and that alignments were generally higher when the number of topics was lower. After applying the Louvain method and DMM with 30 topics and grouping semantically similar topics in a hierarchy, we characterized 163,148 (57.16%) tweets as evidence and advocacy, and 6244 (2.19%) tweets describing personal experiences. Among the 4548 users who posted experiential tweets, 3449 users (75.84%) were found in communities where the majority of tweets were about evidence and advocacy. The use of community detection in concert with topic modeling appears to be a useful way to characterize Twitter communities for the purpose of opinion surveillance in public health applications. Our approach may help identify online communities at risk of being influenced by negative opinions about public health interventions such as HPV vaccines.

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection

PubMed Central

Nguyen, Dat Quoc; Kennedy, Georgina; Johnson, Mark; Coiera, Enrico; Dunn, Adam G

2016-01-01

Background In public health surveillance, measuring how information enters and spreads through online communities may help us understand geographical variation in decision making associated with poor health outcomes. Objective Our aim was to evaluate the use of community structure and topic modeling methods as a process for characterizing the clustering of opinions about human papillomavirus (HPV) vaccines on Twitter. Methods The study examined Twitter posts (tweets) collected between October 2013 and October 2015 about HPV vaccines. We tested Latent Dirichlet Allocation and Dirichlet Multinomial Mixture (DMM) models for inferring topics associated with tweets, and community agglomeration (Louvain) and the encoding of random walks (Infomap) methods to detect community structure of the users from their social connections. We examined the alignment between community structure and topics using several common clustering alignment measures and introduced a statistical measure of alignment based on the concentration of specific topics within a small number of communities. Visualizations of the topics and the alignment between topics and communities are presented to support the interpretation of the results in context of public health communication and identification of communities at risk of rejecting the safety and efficacy of HPV vaccines. Results We analyzed 285,417 Twitter posts (tweets) about HPV vaccines from 101,519 users connected by 4,387,524 social connections. Examining the alignment between the community structure and the topics of tweets, the results indicated that the Louvain community detection algorithm together with DMM produced consistently higher alignment values and that alignments were generally higher when the number of topics was lower. After applying the Louvain method and DMM with 30 topics and grouping semantically similar topics in a hierarchy, we characterized 163,148 (57.16%) tweets as evidence and advocacy, and 6244 (2.19%) tweets describing personal experiences. Among the 4548 users who posted experiential tweets, 3449 users (75.84%) were found in communities where the majority of tweets were about evidence and advocacy. Conclusions The use of community detection in concert with topic modeling appears to be a useful way to characterize Twitter communities for the purpose of opinion surveillance in public health applications. Our approach may help identify online communities at risk of being influenced by negative opinions about public health interventions such as HPV vaccines. PMID:27573910

Perceptions of the community on the pricing of community mental health services.

PubMed

Ogden, J R; Ogden, D T

1992-01-01

In the past few years there has been a decrease in governmental support of Community Mental Health centers. Because of this, there has been some concern, on the part of Community Mental Health professionals, as to the overall impact of this decreased governmental support. Research has been conducted that speculates on how best to handle this mini-crisis. One article suggests moving to an overall marketing approach to help combat this dollar support decline (Day and Ford 1988). Others provide methods for surveying Community Mental Health users (Ludke, Curry & Saywell 1983). William Winston (1988) suggests an overall psychographic segmentation approach to developing market targets. There has also been research detailing promotional methods for expanded marketing coverage (Moldenhauer 1988), however little has been written defining the pricing impact on Community Mental Health services. This study addresses the perceptions of Community Mental Health Center users toward the price variable of the marketing mix.

Community Engagement to Drive Best Practices and Scientific Advancement

NASA Astrophysics Data System (ADS)

Goring, S. J.; Williams, J. W.; Uhen, M. D.; McClennen, M.; Jenkins, J.; Peters, S. E.; Grimm, E. C.; Anderson, M.; Fils, D.; Lehnert, K.; Carter, M.

2016-12-01

The development of databases, data models, and tools around Earth Science data requires constant feedback from user communities. Users must be engaged in all aspects of data upload and access, curation and governance, and, particularly, in highlighting future opportunities for scientific discovery using the data resources. A challenge for data repositories, many of which have evolved organically and independently, is moving from Systems of Record - data silos with only limited input and output options - to Systems of Engagement, that respond to users and interact with other user communities and data repositories across the geosciences and beyond. The Cyber4Paleo Community Development Workshop (http://cyber4paleo.github.io), held June 20 & 21st in Boulder, CO, was organized by the EarthCube Research Coordination Network C4P (Cyber4Paleo) to bring together disciplinary researchers and Principles within data collectives in an effort to drive scientific applications of the collective data resources. C4P focuses on coordinating data and user groups within the allied paleogeoscientific disciplines. Over the course of two days researchers developed research projects that examined standards of 210Pb dating in the published literature, a framework for implementing a common geological time scale across resources, the continued development of underlying data resources, tools to integrate climate and occupation data from paleoecological resources, and the implementation of harmonizing standards across databases. Scientific outcomes of the workshop serve to underpin our understanding of the interrelations between paleoecological data and geophysical components of the Earth System at short and long time scales. These tools enhance our ability to understand connections between and among proxies, across space and time, the serve as outreach tools for training and education, and, importantly, they help to define and improve best practices within the databases, by engaging directly with user communities to fill unanticipated needs.

[A survey about quality of care and user’s' rights in Chilean psychiatric services].

PubMed

Minoletti, Alberto; Toro, Olga; Alvarado, Rubén; Carniglia, Claudia; Guajardo, Alejandro; Rayo, Ximena

2015-12-01

Quality of care and respect for the rights of users are critical to achieve positive health outcomes and respond appropriately to the expectations of people, particularly if they have mental illnesses. To carry out a baseline diagnosis of quality of care and respect for rights in public outpatient psychiatric services. Quality of care and respect for patients'’ rights was assessed by a mental health professional and a trained psychiatric service user in 15 ambulatory psychiatric services. The WHO QualityRights instrument was used, reviewing documentation and making observations in each facility, as well as interviewing 146 patients, 148 health care workers and 64 relatives of patients. A high level of achievement was accomplished in terms of discrimination-free health care, availability of psychotropic medications, lack of abuse or neglect and use of informed consents. A low level of achievement was found in terms of user support to cope with community living, access to education or work and participation in community activities, respect for user treatment preferences and preventive measures to avoid maltreatment and cruelty. Chile could improve the performance of psychiatry services having laws based on the “Convention of Rights of Persons with Disabilities” and standards of the World Health Organization, having national policies about quality of care and rights of users, reinforcing the community work of mental health care teams, reinforcing and informing users about their rights and promoting research on interventions to improve the respect of their rights.

Pragmatic Applications of RE-AIM for Health Care Initiatives in Community and Clinical Settings

PubMed Central

Estabrooks, Paul E.

2018-01-01

The RE-AIM (Reach Effectiveness Adoption Implementation Maintenance) planning and evaluation framework has been applied broadly, but users often have difficulty in applying the model because of data collection needs across multiple domains and sources. Questions in the more common “who, what, where, how, when, and why” format may be an effective guide to ensure that individual participants, organization staff, and the perspectives of the setting are considered in planning and evaluation. Such a format can also help users in typical community and clinical settings to identify which outcomes are most valued and to focus limited measurement resources. Translations of RE-AIM that are easy to understand and apply are needed for application in real-world community and clinical settings where research and evaluation resources are limited. The purpose of this article is to provide simplified, pragmatic, user-centered and stakeholder-centered recommendations to increase the use of RE-AIM in community and clinical settings and in translational research. PMID:29300695

Looking Back at 25 Years With NASA's EOSDIS Distributed Active Archive Centers

NASA Astrophysics Data System (ADS)

Behnke, J.; Kittel, D.

2017-12-01

NASA's Earth Observing System Data and Information System (EOSDIS) has been a central component of the NASA Earth observation program since the 1990's. The data collected by NASA's remote sensing instruments represent a significant public investment in research. EOSDIS provides free and open access to this data to a worldwide public research community. EOSDIS manages a wide range of Earth science discipline data that include cryosphere, land cover change, polar processes, field campaigns, ocean surface, digital elevation, atmosphere dynamics and composition, and inter-disciplinary research, among many others. From the very beginning, EOSDIS was conceived as a system built on partnerships between NASA Centers, US agencies and academia. As originally conceived, the EOSDIS comprised of organizations to process and disseminate remote sensing and in situ data and provide services to a wide variety of users. These organizations are known as the Distributed Active Archive Centers (DAACs). Because of their active role in NASA mission science and with the science community, the DAACs represent a distinct departure from the run-of-the-mill data center. The purpose of this paper is to highlight this distinction and to describe the experiences, strategies, and lessons learned from the operation of the DAACs. Today, there are 12 DAACs geographically distributed across the US that serve over 3 million users and distributed over 1.5 billion Earth science data products. Managed by NASA's Earth Science Data and Information System (ESDIS) Project at Goddard Space Flight Center, the DAACs each support different Earth science disciplines allowing for the customized support to user communities. The ESDIS Project provides the infrastructure support for the entire EOSDIS system, which has grown to 23 petabytes. The DAACs have improved performance as they have grown over the years, while costs are tightly controlled. We have several recommendations about curation, level of service, automation and return on investment resulting from our 25 years of practice managing the DAACs. By sharing new ideas and innovation in science data management, EOSDIS has been able to evolve to meet demand. However, there are many challenges in the future.

Space Weather Impacts on Spacecraft Operations: Identifying and Establishing High-Priority Operational Services

NASA Astrophysics Data System (ADS)

Lawrence, G.; Reid, S.; Tranquille, C.; Evans, H.

2013-12-01

Space Weather is a multi-disciplinary and cross-domain system defined as, 'The physical and phenomenological state of natural space environments. The associated discipline aims, through observation, monitoring, analysis and modelling, at understanding and predicting the state of the Sun, the interplanetary and planetary environments, and the solar and non-solar driven perturbations that affect them, and also at forecasting and nowcasting the potential impacts on biological and technological systems'. National and Agency-level efforts to provide services addressing the myriad problems, such as ESA's SSA programme are therefore typically complex and ambitious undertakings to introduce a comprehensive suite of services aimed at a large number and broad range of end users. We focus on some of the particular threats and risks that Space Weather events pose to the Spacecraft Operations community, and the resulting implications in terms of User Requirements. We describe some of the highest-priority service elements identified as being needed by the Operations community, and outline some service components that are presently available, or under development. The particular threats and risks often vary according to orbit, so the particular User Needs for Operators at LEO, MEO and GEO are elaborated. The inter-relationship between these needed service elements and existing service components within the broader Space Weather domain is explored. Some high-priority service elements and potential correlation with Space Weather drivers include: solar array degradation and energetic proton storms; single event upsets at GEO and solar proton events and galactic cosmic rays; surface charging and deep dielectric charging at MEO and radiation belt dynamics; SEUs at LEO and the South Atlantic Anomaly and its variability. We examine the current capability to provide operational services addressing such threats and identify some advances that the Operations community can expect to benefit from in the short- and medium-term, such as: enhanced forecasting eg. using Bayesian statistics; optimization and standardization of effects tools; operations-ready real-time data tools, with customization options tailored around the operator's views; next-generation SWE-specific sensors and provision of key data to Operators.

Authoring Tours of Geospatial Data With KML and Google Earth

NASA Astrophysics Data System (ADS)

Barcay, D. P.; Weiss-Malik, M.

2008-12-01

As virtual globes become widely adopted by the general public, the use of geospatial data has expanded greatly. With the popularization of Google Earth and other platforms, GIS systems have become virtual reality platforms. Using these platforms, a casual user can easily explore the world, browse massive data-sets, create powerful 3D visualizations, and share those visualizations with millions of people using the KML language. This technology has raised the bar for professionals and academics alike. It is now expected that studies and projects will be accompanied by compelling, high-quality visualizations. In this new landscape, a presentation of geospatial data can be the most effective form of advertisement for a project: engaging both the general public and the scientific community in a unified interactive experience. On the other hand, merely dumping a dataset into a virtual globe can be a disorienting, alienating experience for many users. To create an effective, far-reaching presentation, an author must take care to make their data approachable to a wide variety of users with varying knowledge of the subject matter, expertise in virtual globes, and attention spans. To that end, we present techniques for creating self-guided interactive tours of data represented in KML and visualized in Google Earth. Using these methods, we provide the ability to move the camera through the world while dynamically varying the content, style, and visibility of the displayed data. Such tours can automatically guide users through massive, complex datasets: engaging a broad user-base, and conveying subtle concepts that aren't immediately apparent when viewing the raw data. To the casual user these techniques result in an extremely compelling experience similar to watching video. Unlike video though, these techniques maintain the rich interactive environment provided by the virtual globe, allowing users to explore the data in detail and to add other data sources to the presentation.

Studying Military Community Health, Well-being, and Discourse through the Social Media Lens

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pavalanathan, Umashanthi; Datla, Vivek V.; Volkova, Svitlana

Social media can provide a resource for characterizing communities and targeted populations through activities and content shared online. For instance, studying the armed forces‚Äô use of social media may provide insights into their health and wellbeing. In this paper, we address three broad research questions: (1) How do military populations use social media? (2) What topics do military users discuss in social media? (3) Do military users talk about health and well-being differently than civilians? Military Twitter users were identified through keywords in the profile description of users who posted geotagged tweets at military installations. These military tweets were comparedmore » with the tweets from remaining population. Our analysis indicate that military users talk more about military related responsibilities and events, whereas non-military users talk more about school, work, and leisure activities. A significant difference in online content generated by both populations was identified, involving sentiment, health, language, and social media features.« less

Network-based modeling and intelligent data mining of social media for improving care.

PubMed

Akay, Altug; Dragomir, Andrei; Erlandsson, Bjorn-Erik

2015-01-01

Intelligently extracting knowledge from social media has recently attracted great interest from the Biomedical and Health Informatics community to simultaneously improve healthcare outcomes and reduce costs using consumer-generated opinion. We propose a two-step analysis framework that focuses on positive and negative sentiment, as well as the side effects of treatment, in users' forum posts, and identifies user communities (modules) and influential users for the purpose of ascertaining user opinion of cancer treatment. We used a self-organizing map to analyze word frequency data derived from users' forum posts. We then introduced a novel network-based approach for modeling users' forum interactions and employed a network partitioning method based on optimizing a stability quality measure. This allowed us to determine consumer opinion and identify influential users within the retrieved modules using information derived from both word-frequency data and network-based properties. Our approach can expand research into intelligently mining social media data for consumer opinion of various treatments to provide rapid, up-to-date information for the pharmaceutical industry, hospitals, and medical staff, on the effectiveness (or ineffectiveness) of future treatments.

Personas in online health communities.

PubMed

Huh, Jina; Kwon, Bum Chul; Kim, Sung-Hee; Lee, Sukwon; Choo, Jaegul; Kim, Jihoon; Choi, Min-Je; Yi, Ji Soo

2016-10-01

Many researchers and practitioners use online health communities (OHCs) to influence health behavior and provide patients with social support. One of the biggest challenges in this approach, however, is the rate of attrition. OHCs face similar problems as other social media platforms where user migration happens unless tailored content and appropriate socialization is supported. To provide tailored support for each OHC user, we developed personas in OHCs illustrating users' needs and requirements in OHC use. To develop OHC personas, we first interviewed 16 OHC users and administrators to qualitatively understand varying user needs in OHC. Based on their responses, we developed an online survey to systematically investigate OHC personas. We received 184 survey responses from OHC users, which informed their values and their OHC use patterns. We performed open coding analysis with the interview data and cluster analysis with the survey data and consolidated the analyses of the two datasets. Four personas emerged-Caretakers, Opportunists, Scientists, and Adventurers. The results inform users' interaction behavior and attitude patterns with OHCs. We discuss implications for how these personas inform OHCs in delivering personalized informational and emotional support. Copyright © 2016 Elsevier Inc. All rights reserved.

Interest communities and flow roles in directed networks: the Twitter network of the UK riots

PubMed Central

Beguerisse-Díaz, Mariano; Garduño-Hernández, Guillermo; Vangelov, Borislav; Yaliraki, Sophia N.; Barahona, Mauricio

2014-01-01

Directionality is a crucial ingredient in many complex networks in which information, energy or influence are transmitted. In such directed networks, analysing flows (and not only the strength of connections) is crucial to reveal important features of the network that might go undetected if the orientation of connections is ignored. We showcase here a flow-based approach for community detection through the study of the network of the most influential Twitter users during the 2011 riots in England. Firstly, we use directed Markov Stability to extract descriptions of the network at different levels of coarseness in terms of interest communities, i.e. groups of nodes within which flows of information are contained and reinforced. Such interest communities reveal user groupings according to location, profession, employer and topic. The study of flows also allows us to generate an interest distance, which affords a personalized view of the attention in the network as viewed from the vantage point of any given user. Secondly, we analyse the profiles of incoming and outgoing long-range flows with a combined approach of role-based similarity and the novel relaxed minimum spanning tree algorithm to reveal that the users in the network can be classified into five roles. These flow roles go beyond the standard leader/follower dichotomy and differ from classifications based on regular/structural equivalence. We then show that the interest communities fall into distinct informational organigrams characterized by a different mix of user roles reflecting the quality of dialogue within them. Our generic framework can be used to provide insight into how flows are generated, distributed, preserved and consumed in directed networks. PMID:25297320

Personalized Learning in Medical Education: Designing a User Interface for a Dynamic Haptic Robotic Trainer for Central Venous Catheterization

PubMed Central

Yovanoff, Mary; Pepley, David; Mirkin, Katelin; Moore, Jason; Han, David; Miller, Scarlett

2017-01-01

While Virtual Reality (VR) has emerged as a viable method for training new medical residents, it has not yet reached all areas of training. One area lacking such development is surgical residency programs where there are large learning curves associated with skill development. In order to address this gap, a Dynamic Haptic Robotic Trainer (DHRT) was developed to help train surgical residents in the placement of ultrasound guided Internal Jugular Central Venous Catheters and to incorporate personalized learning. In order to accomplish this, a 2-part study was conducted to: (1) systematically analyze the feedback given to 18 third year medical students by trained professionals to identify the items necessary for a personalized learning system and (2) develop and experimentally test the usability of the personalized learning interface within the DHRT system. The results can be used to inform the design of VR and personalized learning systems within the medical community. PMID:29123361

Interactive Ice Sheet Flowline Model for High School and College Students

NASA Astrophysics Data System (ADS)

Stearns, L. A.; Rezvanbehbahani, S.; Shankar, S.

2017-12-01

Teaching about climate and climate change is conceptually challenging. While teaching tools and lesson plans are rapidly evolving to help teachers and students improve their understanding of climate processes, there are very few tools targeting ice sheet and glacier dynamics. We have built an interactive ice sheet model that allows students to explore how Antarctic glaciers respond to different climate perturbations. Interactive models offer advantages that are hard to obtain in traditional classroom settings; users can systematically investigate hypothetical situations, explore the effects of modifying systems, and repeatedly observe how systems interrelate. As a result, this project provides a much-needed bridge between the data and models used by the scientific community and students in high school and college. We target our instructional and assessment activities to three high school and college students with the overall aim of increasing understanding of ice sheet dynamics and the different ways that ice sheets are impacted by climate change, while also improving their fundamental math skills.

A dynamic simulation based water resources education tool.

PubMed

Williams, Alison; Lansey, Kevin; Washburne, James

2009-01-01

Educational tools to assist the public in recognizing impacts of water policy in a realistic context are not generally available. This project developed systems with modeling-based educational decision support simulation tools to satisfy this need. The goal of this model is to teach undergraduate students and the general public about the implications of common water management alternatives so that they can better understand or become involved in water policy and make more knowledgeable personal or community decisions. The model is based on Powersim, a dynamic simulation software package capable of producing web-accessible, intuitive, graphic, user-friendly interfaces. Modules are included to represent residential, agricultural, industrial, and turf uses, as well as non-market values, water quality, reservoir, flow, and climate conditions. Supplementary materials emphasize important concepts and lead learners through the model, culminating in an open-ended water management project. The model is used in a University of Arizona undergraduate class and within the Arizona Master Watershed Stewards Program. Evaluation results demonstrated improved understanding of concepts and system interactions, fulfilling the project's objectives.

Percolator: Scalable Pattern Discovery in Dynamic Graphs

DOE Office of Scientific and Technical Information (OSTI.GOV)

Choudhury, Sutanay; Purohit, Sumit; Lin, Peng

We demonstrate Percolator, a distributed system for graph pattern discovery in dynamic graphs. In contrast to conventional mining systems, Percolator advocates efficient pattern mining schemes that (1) support pattern detection with keywords; (2) integrate incremental and parallel pattern mining; and (3) support analytical queries such as trend analysis. The core idea of Percolator is to dynamically decide and verify a small fraction of patterns and their in- stances that must be inspected in response to buffered updates in dynamic graphs, with a total mining cost independent of graph size. We demonstrate a) the feasibility of incremental pattern mining by walkingmore » through each component of Percolator, b) the efficiency and scalability of Percolator over the sheer size of real-world dynamic graphs, and c) how the user-friendly GUI of Percolator inter- acts with users to support keyword-based queries that detect, browse and inspect trending patterns. We also demonstrate two user cases of Percolator, in social media trend analysis and academic collaboration analysis, respectively.« less

Observing Consistency in Online Communication Patterns for User Re-Identification.

PubMed

Adeyemi, Ikuesan Richard; Razak, Shukor Abd; Salleh, Mazleena; Venter, Hein S

2016-01-01

Comprehension of the statistical and structural mechanisms governing human dynamics in online interaction plays a pivotal role in online user identification, online profile development, and recommender systems. However, building a characteristic model of human dynamics on the Internet involves a complete analysis of the variations in human activity patterns, which is a complex process. This complexity is inherent in human dynamics and has not been extensively studied to reveal the structural composition of human behavior. A typical method of anatomizing such a complex system is viewing all independent interconnectivity that constitutes the complexity. An examination of the various dimensions of human communication pattern in online interactions is presented in this paper. The study employed reliable server-side web data from 31 known users to explore characteristics of human-driven communications. Various machine-learning techniques were explored. The results revealed that each individual exhibited a relatively consistent, unique behavioral signature and that the logistic regression model and model tree can be used to accurately distinguish online users. These results are applicable to one-to-one online user identification processes, insider misuse investigation processes, and online profiling in various areas.

Make Movies out of Your Dynamical Simulations with OGRE!

NASA Astrophysics Data System (ADS)

Tamayo, Daniel; Douglas, R. W.; Ge, H. W.; Burns, J. A.

2013-10-01

We have developed OGRE, the Orbital GRaphics Environment, an open-source project comprising a graphical user interface that allows the user to view the output from several dynamical integrators (e.g., SWIFT) that are commonly used for academic work. One can interactively vary the display speed, rotate the view and zoom the camera. This makes OGRE a great tool for students or the general public to explore accurate orbital histories that may display interesting dynamical features, e.g. the destabilization of Solar System orbits under the Nice model, or interacting pairs of exoplanets. Furthermore, OGRE allows the user to choreograph sequences of transformations as the simulation is played to generate movies for use in public talks or professional presentations. The graphical user interface is coded using Qt to ensure portability across different operating systems. OGRE will run on Linux and Mac OS X. The program is available as a self-contained executable, or as source code that the user can compile. We are continually updating the code, and hope that people who find it useful will contribute to the development of new features.

Make Movies out of Your Dynamical Simulations with OGRE!

NASA Astrophysics Data System (ADS)

Tamayo, Daniel; Douglas, R. W.; Ge, H. W.; Burns, J. A.

2014-01-01

We have developed OGRE, the Orbital GRaphics Environment, an open-source project comprising a graphical user interface that allows the user to view the output from several dynamical integrators (e.g., SWIFT) that are commonly used for academic work. One can interactively vary the display speed, rotate the view and zoom the camera. This makes OGRE a great tool for students or the general public to explore accurate orbital histories that may display interesting dynamical features, e.g. the destabilization of Solar System orbits under the Nice model, or interacting pairs of exoplanets. Furthermore, OGRE allows the user to choreograph sequences of transformations as the simulation is played to generate movies for use in public talks or professional presentations. The graphical user interface is coded using Qt to ensure portability across different operating systems. OGRE will run on Linux and Mac OS X. The program is available as a self-contained executable, or as source code that the user can compile. We are continually updating the code, and hope that people who find it useful will contribute to the development of new features.

Online Metadata Directories: A way of preserving, sharing and discovering scientific information

NASA Technical Reports Server (NTRS)

Meaux, M.

2005-01-01

The Global Change Master Directory (GCMD) assists the scientific community in the discovery of and linkage to Earth Science data and provides data holders a means to advertise their data to the community through its portals, i.e. online customized subset metadata directories. These directories are effectively serving communities like the Joint Committee on Antarctic Data Management (JCADM), the Global Observing System Information Center (GOSIC), and the Global Ocean Ecosystems Dynamic Program (GLOBEC) by increasing the visibility of their data holding. The purpose of the Gulf of Maine Ocean Data Partnership (GoMODP) is to "promote and coordinate the sharing, linking, electronic dissemination, and use of data on the Gulf of Maine region". The participants have decided that a "coordinated effort is needed to enable users throughout the Gulf of Maine region and beyond to discover and put to use the vast and growing quantities of data in their respective databases". GoMODP members have invited the GCMD to discuss potential collaborations associated with this effort. The presentation will focus on the use of the GCMD s metadata directory as a powerful tool for data discovery and sharing. An overview of the directory and its metadata authoring tools will be given.

Three-dimensional user interfaces for scientific visualization

NASA Technical Reports Server (NTRS)

Vandam, Andries

1995-01-01

The main goal of this project is to develop novel and productive user interface techniques for creating and managing visualizations of computational fluid dynamics (CFD) datasets. We have implemented an application framework in which we can visualize computational fluid dynamics user interfaces. This UI technology allows users to interactively place visualization probes in a dataset and modify some of their parameters. We have also implemented a time-critical scheduling system which strives to maintain a constant frame-rate regardless of the number of visualization techniques. In the past year, we have published parts of this research at two conferences, the research annotation system at Visualization 1994, and the 3D user interface at UIST 1994. The real-time scheduling system has been submitted to SIGGRAPH 1995 conference. Copies of these documents are included with this report.

Fluctuating interaction network and time-varying stability of a natural fish community

NASA Astrophysics Data System (ADS)

Ushio, Masayuki; Hsieh, Chih-Hao; Masuda, Reiji; Deyle, Ethan R.; Ye, Hao; Chang, Chun-Wei; Sugihara, George; Kondoh, Michio

2018-02-01

Ecological theory suggests that large-scale patterns such as community stability can be influenced by changes in interspecific interactions that arise from the behavioural and/or physiological responses of individual species varying over time. Although this theory has experimental support, evidence from natural ecosystems is lacking owing to the challenges of tracking rapid changes in interspecific interactions (known to occur on timescales much shorter than a generation time) and then identifying the effect of such changes on large-scale community dynamics. Here, using tools for analysing nonlinear time series and a 12-year-long dataset of fortnightly collected observations on a natural marine fish community in Maizuru Bay, Japan, we show that short-term changes in interaction networks influence overall community dynamics. Among the 15 dominant species, we identify 14 interspecific interactions to construct a dynamic interaction network. We show that the strengths, and even types, of interactions change with time; we also develop a time-varying stability measure based on local Lyapunov stability for attractor dynamics in non-equilibrium nonlinear systems. We use this dynamic stability measure to examine the link between the time-varying interaction network and community stability. We find seasonal patterns in dynamic stability for this fish community that broadly support expectations of current ecological theory. Specifically, the dominance of weak interactions and higher species diversity during summer months are associated with higher dynamic stability and smaller population fluctuations. We suggest that interspecific interactions, community network structure and community stability are dynamic properties, and that linking fluctuating interaction networks to community-level dynamic properties is key to understanding the maintenance of ecological communities in nature.

Establishing effective working relations with a potential user community - NASA Lewis Research Center experience

NASA Technical Reports Server (NTRS)

Foster, P.

1977-01-01

The NASA Lewis Research Center has held a series of six major and unique technology utilization conferences which were major milestones in planned structured efforts to establish effective working relationships with specific technology user communities. These efforts were unique in that the activities undertaken prior to the conference were extensive, and effectively laid the groundwork for productive technology transfer following, and as a direct result of, the conferences. The effort leading to the conference was in each case tailored to the characteristics of the potential user community, however, the common factors comprise a basic framework applicable to similar endeavors. The process is essentially a planned sequence of steps that constitute a technical market survey and a marketing program for the development of beneficial applications of aerospace technology beyond the aerospace field.

Nonaffiliated Users in Academic Libraries: Using W.D. Ross's Ethical Pluralism to Make Sense of the Tough Questions

ERIC Educational Resources Information Center

Lenker, Mark; Kocevar-Weidinger, Elizabeth

2010-01-01

Though the academic library's primary mission is to serve the students, faculty, and staff of its parent institution, would-be users not officially associated with the institution frequently call upon the library to provide services and/or resources. Requests by these nonaffiliated users (sometimes called community users) pose a moral quandary for…

Decisional balance and processes of change in community-recruited with moderate-high versus mild severity of cannabis dependence

PubMed Central

2017-01-01

Decisional Balance and Processes of Change are generally addressed in motivational interventions for the treatment of cannabis use disorders. However, specific aspects of these multifaceted constructs, with greater relevance for severe cannabis users, need to be ascertained to enable better interventions. This study aimed to compare the different facets of decisional balance and processes of change between mild and severe cannabis users in a community-based sample of young undergraduates. Thirty-one severe cannabis users and 31 mild cannabis users, indicated with the Severity of Dependence Scale, were assessed using the Decisional Balance Questionnaire (DBQ) and the Processes of Change Questionnaire (PCQ). We found that severe cannabis users had higher scores in the DBQ dimensions of Utilitarian Gains for the Self, Utilitarian Gains for Significant Others, and Self-approval, as well as in the total subscale of Gains but not Losses. The group of severe cannabis users also had higher scores in the PCQ dimensions of Self-revaluations and Counter-conditioning. Our results pinpoint specific dimensions of Decisional Balance and Processes of Change that are endorsed by severe cannabis users. This knowledge could be applied to inform motivational interventions targeting severe cannabis users. PMID:29206230

Beware of Geeks Bearing Gifts - Are we Meeting the Requirements of our User Communities?

NASA Astrophysics Data System (ADS)

Klump, J.

2007-12-01

The 20th century brought about an "information revolution" that has forever altered the way we work, communicate, and live. The way science has been conducted for the past 200 years has been challenged by new media of communication and for the dissemination of data. We now have the tools at hand, commonly called cyberinfrastructure, that enable new forms of global collaboration. But are we fully realising the potential of cyberinfrastructure? Has it become an integral part of our scientific culture? Tools developed in Earth and Space Science Informatics projects suffer the same effects like informatics developments in other fields. Many of the projects fail to meet user requirements, and they do so for a number of reasons. Besides a certain reluctance on the side of scientists to adopt new tools for conducting their research, many cyberinfrastructure projects suffer from "marketing myopia" (Levitt, 1960) in the way they try to "sell" their applications. According to Levitt, the difference between selling and marketing is that the former fulfils the needs of the seller and the latter the needs of the buyer. Cyberinfrastructure projects must stop trying to sell their achievements to the scientific community, and instead market them by considering the scientists" needs right at the beginning of their endeavours. Admittedly, the requirements of scientific user communities are "moving targets", because scientific workflows are often subject to ad-hoc changes, depending on the outcome of the preceding step. Another important risk factor, faced by many cyberinfrastructure projects, is that the designated user community is not aware of the availability of this new resource. This is where training and outreach are essential, especially to draw in early adopters of new technology and multipliers among researchers. Only cyberinfrastructure tools that truly serve their designated user community will eventually become part of the scientific infrastructure. This presentation looks at the factors and strategies that affect adoption of cyberinfrastructrures by the scientific community.

Rules of the Role: Library as Host/Community as Guest.

ERIC Educational Resources Information Center

Piworwarczyk, Linda

2002-01-01

Discusses how libraries can prepare for today's users in light of increasing technology demands on collections and on users' expectations. Topics include reading habits and literacy; collection diversity; financial support; technology versus more traditional services; marketing strategies, including outreach programs; and considering users as…

A New Architecture for Visualization: Open Mission Control Technologies

NASA Technical Reports Server (NTRS)

Trimble, Jay

2017-01-01

Open Mission Control Technologies (MCT) is a new architecture for visualisation of mission data. Driven by requirements for new mission capabilities, including distributed mission operations, access to data anywhere, customization by users, synthesis of multiple data sources, and flexibility for multi-mission adaptation, Open MCT provides users with an integrated customizable environment. Developed at NASAs Ames Research Center (ARC), in collaboration with NASAs Advanced Multimission Operations System (AMMOS) and NASAs Jet Propulsion Laboratory (JPL), Open MCT is getting its first mission use on the Jason 3 Mission, and is also available in the testbed for the Mars 2020 Rover and for development use for NASAs Resource Prospector Lunar Rover. The open source nature of the project provides for use outside of space missions, including open source contributions from a community of users. The defining features of Open MCT for mission users are data integration, end user composition and multiple views. Data integration provides access to mission data across domains in one place, making data such as activities, timelines, telemetry, imagery, event timers and procedures available in one place, without application switching. End user composition provides users with layouts, which act as a canvas to assemble visualisations. Multiple views provide the capability to view the same data in different ways, with live switching of data views in place. Open MCT is browser based, and works on the desktop as well as tablets and phones, providing access to data anywhere. An early use case for mobile data access took place on the Resource Prospector (RP) Mission Distributed Operations Test, in which rover engineers in the field were able to view telemetry on their phones. We envision this capability providing decision support to on console operators from off duty personnel. The plug-in architecture also allows for adaptation for different mission capabilities. Different data types and capabilities may be added or removed using plugins. An API provides a means to write new capabilities and to create data adaptors. Data plugins exist for mission data sources for NASA missions. Adaptors have been written by international and commercial users. Open MCT is open source. Open source enables collaborative development across organizations and also makes the product available outside of the space community, providing a potential source of usage and ideas to drive product design and development. The combination of open source with an Apache 2 license, and distribution on GitHub, has enabled an active community of users and contributors. The spectrum of users for Open MCT is, to our knowledge, unprecedented for mission software. In addition to our NASA users, we have, through open source, had users and inquires on projects ranging from Internet of Things, to radio hobbyists, to farming projects. We have an active community of contributors, enabling a flow of ideas inside and outside of the space community.

The Satellite Data Thematic Core Service within the EPOS Research Infrastructure

NASA Astrophysics Data System (ADS)

Manunta, Michele; Casu, Francesco; Zinno, Ivana; De Luca, Claudio; Buonanno, Sabatino; Zeni, Giovanni; Wright, Tim; Hooper, Andy; Diament, Michel; Ostanciaux, Emilie; Mandea, Mioara; Walter, Thomas; Maccaferri, Francesco; Fernandez, Josè; Stramondo, Salvatore; Bignami, Christian; Bally, Philippe; Pinto, Salvatore; Marin, Alessandro; Cuomo, Antonio

2017-04-01

EPOS, the European Plate Observing System, is a long-term plan to facilitate the integrated use of data, data products, software and services, available from distributed Research Infrastructures (RI), for solid Earth science in Europe. Indeed, EPOS integrates a large number of existing European RIs belonging to several fields of the Earth science, from seismology to geodesy, near fault and volcanic observatories as well as anthropogenic hazards. The EPOS vision is that the integration of the existing national and trans-national research infrastructures will increase access and use of the multidisciplinary data recorded by the solid Earth monitoring networks, acquired in laboratory experiments and/or produced by computational simulations. The establishment of EPOS will foster the interoperability of products and services in the Earth science field to a worldwide community of users. Accordingly, the EPOS aim is to integrate the diverse and advanced European Research Infrastructures for solid Earth science, and build on new e-science opportunities to monitor and understand the dynamic and complex solid-Earth System. One of the EPOS Thematic Core Services (TCS), referred to as Satellite Data, aims at developing, implementing and deploying advanced satellite data products and services, mainly based on Copernicus data (namely Sentinel acquisitions), for the Earth science community. This work intends to present the technological enhancements, fostered by EPOS, to deploy effective satellite services in a harmonized and integrated way. In particular, the Satellite Data TCS will deploy five services, EPOSAR, GDM, COMET, 3D-Def and MOD, which are mainly based on the exploitation of SAR data acquired by the Sentinel-1 constellation and designed to provide information on Earth surface displacements. In particular, the planned services will provide both advanced DInSAR products (deformation maps, velocity maps, deformation time series) and value-added measurements (source model, 3D displacement maps, seismic hazard maps). Moreover, the services will release both on-demand and systematic products. The latter will be generated and made available to the users on a continuous basis, by processing each Sentinel-1 data once acquired, over a defined number of areas of interest; while the former will allow users to select data, areas, and time period to carry out their own analyses via an on-line platform. The satellite components will be integrated within the EPOS infrastructure through a common and harmonized interface that will allow users to search, process and share remote sensing images and results. This gateway to the satellite services will be represented by the ESA- Geohazards Exploitation Platform (GEP), a new cloud-based platform for the satellite Earth Observations designed to support the scientific community in the understanding of high impact natural disasters. Satellite Data TCS will use GEP as the common interface toward the main EPOS portal to provide EPOS users not only with data products but also with relevant processing and visualisation software, thus allowing users to gather and process on a cloud-computing infrastructure large datasets without any need to download them locally.

Hearing loss on social media: Who is winning hearts and minds?

PubMed

Crowson, Matthew G; Tucci, Debara L; Kaylie, David

2018-06-01

To analyze specific patterns of Twitter usage using common references to hearing loss, and characterize the virtual public that comprises the hearing loss community to inform hearing loss stakeholders for opportunities for engagement and outreach. Social media network analysis. Twitter tweets were sampled from July 2016 to September 2016 using #hearing, #hearingloss, #deaf, #hearingimpairment, #hardofhearing, #deafness, #hearingmatters, #hearinghealth, and #hearingimpaired tags. User and Twitter social community metrics were examined including temporal trends, tweet content, user activity, tweet reach, and an analysis of the tweets' social network. We identified and analyzed 49,208 tweets from July 2016 to September 2016 with tags relevant to hearing loss. Of the 100 most active Twitter accounts, organizations owned 67% compared to 33% owned by individuals. Commercial/for profit and informational organizations were the most common organization account owners (26% and 16%, respectively). Five unique tweets were identified as each having a reach of over 100,000 Twitter users, with the greatest reach exceeding 250,000 users. Temporal analysis identified marked retweet outliers (>300 retweets per hour) that corresponded with a widely publicized event involving the dismissal of a deaf employee from a fast-food chain store. Twitter accounts owned by organizations outnumbered individual accounts, and commercial/for profit user accounts were the most frequently active organization account type. Tweets pertaining to hearing loss may have a broad reach to a large community base. Analyses of social media use can be helpful in discovering issues of interest to the hearing loss community, as well as determining which users and organizations are dominating social network conversations. NA. Laryngoscope, 128:1453-1461, 2018. © 2017 The American Laryngological, Rhinological and Otological Society, Inc.

Sharing data for public health research by members of an international online diabetes social network.

PubMed

Weitzman, Elissa R; Adida, Ben; Kelemen, Skyler; Mandl, Kenneth D

2011-04-27

Surveillance and response to diabetes may be accelerated through engaging online diabetes social networks (SNs) in consented research. We tested the willingness of an online diabetes community to share data for public health research by providing members with a privacy-preserving social networking software application for rapid temporal-geographic surveillance of glycemic control. SN-mediated collection of cross-sectional, member-reported data from an international online diabetes SN entered into a software application we made available in a "Facebook-like" environment to enable reporting, charting and optional sharing of recent hemoglobin A1c values through a geographic display. Self-enrollment by 17% (n = 1,136) of n = 6,500 active members representing 32 countries and 50 US states. Data were current with 83.1% of most recent A1c values reported obtained within the past 90 days. Sharing was high with 81.4% of users permitting data donation to the community display. 34.1% of users also displayed their A1cs on their SN profile page. Users selecting the most permissive sharing options had a lower average A1c (6.8%) than users not sharing with the community (7.1%, p = .038). 95% of users permitted re-contact. Unadjusted aggregate A1c reported by US users closely resembled aggregate 2007-2008 NHANES estimates (respectively, 6.9% and 6.9%, p = 0.85). Success within an early adopter community demonstrates that online SNs may comprise efficient platforms for bidirectional communication with and data acquisition from disease populations. Advancing this model for cohort and translational science and for use as a complementary surveillance approach will require understanding of inherent selection and publication (sharing) biases in the data and a technology model that supports autonomy, anonymity and privacy.

LoyalTracker: Visualizing Loyalty Dynamics in Search Engines.

PubMed

Shi, Conglei; Wu, Yingcai; Liu, Shixia; Zhou, Hong; Qu, Huamin

2014-12-01

The huge amount of user log data collected by search engine providers creates new opportunities to understand user loyalty and defection behavior at an unprecedented scale. However, this also poses a great challenge to analyze the behavior and glean insights into the complex, large data. In this paper, we introduce LoyalTracker, a visual analytics system to track user loyalty and switching behavior towards multiple search engines from the vast amount of user log data. We propose a new interactive visualization technique (flow view) based on a flow metaphor, which conveys a proper visual summary of the dynamics of user loyalty of thousands of users over time. Two other visualization techniques, a density map and a word cloud, are integrated to enable analysts to gain further insights into the patterns identified by the flow view. Case studies and the interview with domain experts are conducted to demonstrate the usefulness of our technique in understanding user loyalty and switching behavior in search engines.

Emergence of acronyms in a community of language users

NASA Astrophysics Data System (ADS)

Javarone, Marco Alberto; Armano, Giuliano

2013-11-01

Language is a complex system that evolves over time, due to several phenomena. In recent years, new communication media are affecting interpersonal written communication. In particular, mobile phones and internet-based communication media are leading people to use a small number of characters when writing messages. Hence, acronyms or abbreviations are used in most cases. In particular, a mobile phone message is usually composed by short phrases, the social network Twitter only allows 140 characters per message and in many online forums users have limited space for questions and answers. Although the use of acronyms dates back to ancient times, nowadays this type of linguistic sign is gaining prestige. In this work, we study the introduction of acronyms in social systems. In particular, we define a simple game for the purpose of analyzing how the use of an acronym spreads in a population, considering its ability to create a shared meaning. We performed many numerical simulations according to the proposed model, showing the creation of acronyms to be the result of collective dynamics in a population.

Collective dynamics of social annotation

PubMed Central

Cattuto, Ciro; Barrat, Alain; Baldassarri, Andrea; Schehr, Gregory; Loreto, Vittorio

2009-01-01

The enormous increase of popularity and use of the worldwide web has led in the recent years to important changes in the ways people communicate. An interesting example of this fact is provided by the now very popular social annotation systems, through which users annotate resources (such as web pages or digital photographs) with keywords known as “tags.” Understanding the rich emergent structures resulting from the uncoordinated actions of users calls for an interdisciplinary effort. In particular concepts borrowed from statistical physics, such as random walks (RWs), and complex networks theory, can effectively contribute to the mathematical modeling of social annotation systems. Here, we show that the process of social annotation can be seen as a collective but uncoordinated exploration of an underlying semantic space, pictured as a graph, through a series of RWs. This modeling framework reproduces several aspects, thus far unexplained, of social annotation, among which are the peculiar growth of the size of the vocabulary used by the community and its complex network structure that represents an externalization of semantic structures grounded in cognition and that are typically hard to access. PMID:19506244

PESI - a taxonomic backbone for Europe.

PubMed

de Jong, Yde; Kouwenberg, Juliana; Boumans, Louis; Hussey, Charles; Hyam, Roger; Nicolson, Nicola; Kirk, Paul; Paton, Alan; Michel, Ellinor; Guiry, Michael D; Boegh, Phillip S; Pedersen, Henrik Ærenlund; Enghoff, Henrik; von Raab-Straube, Eckhard; Güntsch, Anton; Geoffroy, Marc; Müller, Andreas; Kohlbecker, Andreas; Berendsohn, Walter; Appeltans, Ward; Arvanitidis, Christos; Vanhoorne, Bart; Declerck, Joram; Vandepitte, Leen; Hernandez, Francisco; Nash, Róisín; Costello, Mark John; Ouvrard, David; Bezard-Falgas, Pascale; Bourgoin, Thierry; Wetzel, Florian Tobias; Glöckler, Falko; Korb, Günther; Ring, Caroline; Hagedorn, Gregor; Häuser, Christoph; Aktaç, Nihat; Asan, Ahmet; Ardelean, Adorian; Borges, Paulo Alexandre Vieira; Dhora, Dhimiter; Khachatryan, Hasmik; Malicky, Michael; Ibrahimov, Shaig; Tuzikov, Alexander; De Wever, Aaike; Moncheva, Snejana; Spassov, Nikolai; Chobot, Karel; Popov, Alexi; Boršić, Igor; Sfenthourakis, Spyros; Kõljalg, Urmas; Uotila, Pertti; Olivier, Gargominy; Dauvin, Jean-Claude; Tarkhnishvili, David; Chaladze, Giorgi; Tuerkay, Michael; Legakis, Anastasios; Peregovits, László; Gudmundsson, Gudmundur; Ólafsson, Erling; Lysaght, Liam; Galil, Bella Sarah; Raimondo, Francesco M; Domina, Gianniantonio; Stoch, Fabio; Minelli, Alessandro; Spungis, Voldermars; Budrys, Eduardas; Olenin, Sergej; Turpel, Armand; Walisch, Tania; Krpach, Vladimir; Gambin, Marie Therese; Ungureanu, Laurentia; Karaman, Gordan; Kleukers, Roy M J C; Stur, Elisabeth; Aagaard, Kaare; Valland, Nils; Moen, Toril Loennechen; Bogdanowicz, Wieslaw; Tykarski, Piotr; Węsławski, Jan Marcin; Kędra, Monika; M de Frias Martins, Antonio; Abreu, António Domingos; Silva, Ricardo; Medvedev, Sergei; Ryss, Alexander; Šimić, Smiljka; Marhold, Karol; Stloukal, Eduard; Tome, Davorin; Ramos, Marian A; Valdés, Benito; Pina, Francisco; Kullander, Sven; Telenius, Anders; Gonseth, Yves; Tschudin, Pascal; Sergeyeva, Oleksandra; Vladymyrov, Volodymyr; Rizun, Volodymyr Bohdanovych; Raper, Chris; Lear, Dan; Stoev, Pavel; Penev, Lyubomir; Rubio, Ana Casino; Backeljau, Thierry; Saarenmaa, Hannu; Ulenberg, Sandrine

2015-01-01

Reliable taxonomy underpins communication in all of biology, not least nature conservation and sustainable use of ecosystem resources. The flexibility of taxonomic interpretations, however, presents a serious challenge for end-users of taxonomic concepts. Users need standardised and continuously harmonised taxonomic reference systems, as well as high-quality and complete taxonomic data sets, but these are generally lacking for non-specialists. The solution is in dynamic, expertly curated web-based taxonomic tools. The Pan-European Species-directories Infrastructure (PESI) worked to solve this key issue by providing a taxonomic e-infrastructure for Europe. It strengthened the relevant social (expertise) and information (standards, data and technical) capacities of five major community networks on taxonomic indexing in Europe, which is essential for proper biodiversity assessment and monitoring activities. The key objectives of PESI were: 1) standardisation in taxonomic reference systems, 2) enhancement of the quality and completeness of taxonomic data sets and 3) creation of integrated access to taxonomic information. This paper describes the results of PESI and its future prospects, including the involvement in major European biodiversity informatics initiatives and programs.

Automatic labeling and characterization of objects using artificial neural networks

NASA Technical Reports Server (NTRS)

Campbell, William J.; Hill, Scott E.; Cromp, Robert F.

1989-01-01

Existing NASA supported scientific data bases are usually developed, managed and populated in a tedious, error prone and self-limiting way in terms of what can be described in a relational Data Base Management System (DBMS). The next generation Earth remote sensing platforms, i.e., Earth Observation System, (EOS), will be capable of generating data at a rate of over 300 Mbs per second from a suite of instruments designed for different applications. What is needed is an innovative approach that creates object-oriented databases that segment, characterize, catalog and are manageable in a domain-specific context and whose contents are available interactively and in near-real-time to the user community. Described here is work in progress that utilizes an artificial neural net approach to characterize satellite imagery of undefined objects into high-level data objects. The characterized data is then dynamically allocated to an object-oriented data base where it can be reviewed and assessed by a user. The definition, development, and evolution of the overall data system model are steps in the creation of an application-driven knowledge-based scientific information system.

PESI - a taxonomic backbone for Europe

PubMed Central

Kouwenberg, Juliana; Boumans, Louis; Hussey, Charles; Hyam, Roger; Nicolson, Nicola; Kirk, Paul; Paton, Alan; Michel, Ellinor; Guiry, Michael D.; Boegh, Phillip S.; Pedersen, Henrik Ærenlund; Enghoff, Henrik; von Raab-Straube, Eckhard; Güntsch, Anton; Geoffroy, Marc; Müller, Andreas; Kohlbecker, Andreas; Berendsohn, Walter; Appeltans, Ward; Arvanitidis, Christos; Vanhoorne, Bart; Declerck, Joram; Vandepitte, Leen; Hernandez, Francisco; Nash, Róisín; Costello, Mark John; Ouvrard, David; Bezard-Falgas, Pascale; Bourgoin, Thierry; Wetzel, Florian Tobias; Glöckler, Falko; Korb, Günther; Ring, Caroline; Hagedorn, Gregor; Häuser, Christoph; Aktaç, Nihat; Asan, Ahmet; Ardelean, Adorian; Borges, Paulo Alexandre Vieira; Dhora, Dhimiter; Khachatryan, Hasmik; Malicky, Michael; Ibrahimov, Shaig; Tuzikov, Alexander; De Wever, Aaike; Moncheva, Snejana; Spassov, Nikolai; Chobot, Karel; Popov, Alexi; Boršić, Igor; Sfenthourakis, Spyros; Kõljalg, Urmas; Uotila, Pertti; Olivier, Gargominy; Dauvin, Jean-Claude; Tarkhnishvili, David; Chaladze, Giorgi; Tuerkay, Michael; Legakis, Anastasios; Peregovits, László; Gudmundsson, Gudmundur; Ólafsson, Erling; Lysaght, Liam; Galil, Bella Sarah; Raimondo, Francesco M.; Domina, Gianniantonio; Stoch, Fabio; Minelli, Alessandro; Spungis, Voldermars; Budrys, Eduardas; Olenin, Sergej; Turpel, Armand; Walisch, Tania; Krpach, Vladimir; Gambin, Marie Therese; Ungureanu, Laurentia; Karaman, Gordan; Kleukers, Roy M.J.C.; Stur, Elisabeth; Aagaard, Kaare; Valland, Nils; Moen, Toril Loennechen; Bogdanowicz, Wieslaw; Tykarski, Piotr; Węsławski, Jan Marcin; Kędra, Monika; M. de Frias Martins, Antonio; Abreu, António Domingos; Silva, Ricardo; Medvedev, Sergei; Ryss, Alexander; Šimić, Smiljka; Marhold, Karol; Stloukal, Eduard; Tome, Davorin; Ramos, Marian A.; Valdés, Benito; Pina, Francisco; Kullander, Sven; Telenius, Anders; Gonseth, Yves; Tschudin, Pascal; Sergeyeva, Oleksandra; Vladymyrov, Volodymyr; Rizun, Volodymyr Bohdanovych; Raper, Chris; Lear, Dan; Stoev, Pavel; Penev, Lyubomir; Rubio, Ana Casino; Backeljau, Thierry; Saarenmaa, Hannu; Ulenberg, Sandrine

2015-01-01

Abstract Background Reliable taxonomy underpins communication in all of biology, not least nature conservation and sustainable use of ecosystem resources. The flexibility of taxonomic interpretations, however, presents a serious challenge for end-users of taxonomic concepts. Users need standardised and continuously harmonised taxonomic reference systems, as well as high-quality and complete taxonomic data sets, but these are generally lacking for non-specialists. The solution is in dynamic, expertly curated web-based taxonomic tools. The Pan-European Species-directories Infrastructure (PESI) worked to solve this key issue by providing a taxonomic e-infrastructure for Europe. It strengthened the relevant social (expertise) and information (standards, data and technical) capacities of five major community networks on taxonomic indexing in Europe, which is essential for proper biodiversity assessment and monitoring activities. The key objectives of PESI were: 1) standardisation in taxonomic reference systems, 2) enhancement of the quality and completeness of taxonomic data sets and 3) creation of integrated access to taxonomic information. New information This paper describes the results of PESI and its future prospects, including the involvement in major European biodiversity informatics initiatives and programs. PMID:26491393

Dynamics of contraceptive use in India: apprehension versus future intention among non-users and traditional method users.

PubMed

Rai, Rajesh Kumar; Unisa, Sayeed

2013-06-01

This study examines the reasons for not using any method of contraception as well as reasons for not using modern methods of contraception, and factors associated with the future intention to use different types of contraceptives in India and its selected states, namely Uttar Pradesh, Assam and West Bengal. Data from the third wave of District Level Household and Facility Survey, 2007-08 were used. Bivariate as well as logistic regression analyses were performed to fulfill the study objective. Postpartum amenorrhea and breastfeeding practices were reported as the foremost causes for not using any method of contraception. Opposition to use, health concerns and fear of side effects were reported to be major hurdles in the way of using modern methods of contraception. Results from logistic regression suggest considerable variation in explaining the factors associated with future intention to use contraceptives. Promotion of health education addressing the advantages of contraceptive methods and eliminating apprehension about the use of these methods through effective communication by community level workers is the need of the hour. Copyright © 2013 Elsevier B.V. All rights reserved.

The utilization of neural nets in populating an object-oriented database

NASA Technical Reports Server (NTRS)

Campbell, William J.; Hill, Scott E.; Cromp, Robert F.

1989-01-01

Existing NASA supported scientific data bases are usually developed, managed and populated in a tedious, error prone and self-limiting way in terms of what can be described in a relational Data Base Management System (DBMS). The next generation Earth remote sensing platforms (i.e., Earth Observation System, (EOS), will be capable of generating data at a rate of over 300 Mbs per second from a suite of instruments designed for different applications. What is needed is an innovative approach that creates object-oriented databases that segment, characterize, catalog and are manageable in a domain-specific context and whose contents are available interactively and in near-real-time to the user community. Described here is work in progress that utilizes an artificial neural net approach to characterize satellite imagery of undefined objects into high-level data objects. The characterized data is then dynamically allocated to an object-oriented data base where it can be reviewed and assessed by a user. The definition, development, and evolution of the overall data system model are steps in the creation of an application-driven knowledge-based scientific information system.

Interplay Between Energy-Market Dynamics and Physical Stability of a Smart Power Grid

NASA Astrophysics Data System (ADS)

Picozzi, Sergio; Mammoli, Andrea; Sorrentino, Francesco

2013-03-01

A smart power grid is being envisioned for the future which, among other features, should enable users to play the dual role of consumers as well as producers and traders of energy, thanks to emerging renewable energy production and energy storage technologies. As a complex dynamical system, any power grid is subject to physical instabilities. With existing grids, such instabilities tend to be caused by natural disasters, human errors, or weather-related peaks in demand. In this work we analyze the impact, upon the stability of a smart grid, of the energy-market dynamics arising from users' ability to buy from and sell energy to other users. The stability analysis of the resulting dynamical system is performed assuming different proposed models for this market of the future, and the corresponding stability regions in parameter space are identified. We test our theoretical findings by comparing them with data collected from some existing prototype systems.

Theory and Programs for Dynamic Modeling of Tree Rings from Climate

Treesearch

Paul C. van Deusen; Jennifer Koretz

1988-01-01

Computer programs written in GAUSS(TM) for IBM compatible personal computers are described that perform dynamic tree ring modeling with climate data; the underlying theory is also described. The programs and a separate users manual are available from the authors, although users must have the GAUSS software package on their personal computer. An example application of...

Factors affecting collective action for forest fire management: a comparative study of community forest user groups in central Siwalik, Nepal.

PubMed

Sapkota, Lok Mani; Shrestha, Rajendra Prasad; Jourdain, Damien; Shivakoti, Ganesh P

2015-01-01

The attributes of social ecological systems affect the management of commons. Strengthening and enhancing social capital and the enforcement of rules and sanctions aid in the collective action of communities in forest fire management. Using a set of variables drawn from previous studies on the management of commons, we conducted a study across 20 community forest user groups in Central Siwalik, Nepal, by dividing the groups into two categories based on the type and level of their forest fire management response. Our study shows that the collective action in forest fire management is consistent with the collective actions in other community development activities. However, the effectiveness of collective action is primarily dependent on the complex interaction of various variables. We found that strong social capital, strong enforcement of rules and sanctions, and users' participation in crafting the rules were the major variables that strengthen collective action in forest fire management. Conversely, users' dependency on a daily wage and a lack of transparency were the variables that weaken collective action. In fire-prone forests such as the Siwalik, our results indicate that strengthening social capital and forming and enforcing forest fire management rules are important variables that encourage people to engage in collective action in fire management.

Perspectives of Community Co-Researchers About Group Dynamics and Equitable Partnership Within a Community-Academic Research Team.

PubMed

Vaughn, Lisa M; Jacquez, Farrah; Zhen-Duan, Jenny

2018-04-01

Equitable partnership processes and group dynamics, including individual, relational, and structural factors, have been identified as key ingredients to successful community-based participatory research partnerships. The purpose of this qualitative study was to investigate the key aspects of group dynamics and partnership from the perspectives of community members serving as co-researchers. Semistructured, in-depth interviews were conducted with 15 Latino immigrant co-researchers from an intervention project with Latinos Unidos por la Salud (LU-Salud), a community research team composed of Latino immigrant community members and academic investigators working in a health research partnership. A deductive framework approach guided the interview process and qualitative data analysis. The LU-Salud co-researchers described relationships, personal growth, beliefs/identity motivation (individual dynamics), coexistence (relational dynamics), diversity, and power/resource sharing (structural dynamics) as key foundational aspects of the community-academic partnership. Building on existing CBPR and team science frameworks, these findings demonstrate that group dynamics and partnership processes are fundamental drivers of individual-level motivation and meaning making, which ultimately sustain efforts of community partners to engage with the research team and also contribute to the achievement of intended research outcomes.

Development and Application of Ontologies in Support of Earth and Space Science Education

NASA Astrophysics Data System (ADS)

Fox, S. P.; Manduca, C. A.; Iverson, E.

2007-12-01

Through its work in supporting improved science education the Science Education Resource Center (SERC) has developed and applied a set of Earth and Space Science vocabularies. These controlled vocabularies play a central role in supporting user exploration of our educational materials. The set of over 50 vocabularies run the gamut from small vocabularies with a narrowly targeted use, to broader vocabularies that span multiple disciplines and are applied across multiple projects and collections. Typical specialized vocabularies cover disciplinary themes such as tectonic setting (with terms such as mid-ocean ridge, passive margin, and craton) as well as interdisciplinary work such as geology and human health (with terms such as radionuclides and airborne transport processes). To support project-specific customization of vocabularies while retaining the benefits of cross-project reuse our systems allow for dynamic mapping of terms among multiple vocabularies based on semantic equivalencies. The end result is a weaving of related vocabularies into an ontological network that is exposed as specific vocabularies that employ the natural language of the collections and communities that use them. Our process for vocabulary development is community driven and reflects our experiences in aligning terminology with disciplinary-specific expectations. These experiences include rectifying language differences across disciplines in building a Geoscience Quantitative Skills vocabulary through work with both the Mathematics and Geoscience communities, as well as the iterative development of a vocabulary spanning Earth and Space science through the aggregation of smaller vocabularies, each developed by scientists for use within their own discipline. The vocabularies are exposed as key navigational features in over 100 faceted search interfaces within the web sites of a dozen Earth and Space Science Education projects. Within these faceted search interfaces the terms in the vocabularies act as guideposts and browsing links for the users. Only terms relevant to the current collection, or search return, are exposed to the users giving them an immediate sense of the scope and focus of the collection. In using vocabularies to drive these sorts of discovery processes it is critical that vocabularies not only have clear semantics so they can be applied consistently, but also have appropriate evocative meaning for the users of the search interface. It is this immediate evocative meaning, rather than the precisely defined semantics that will end up driving user search behavior and in the end determine the efficacy of the vocabulary as an applied tool. We will outline our experiences in developing and applying these vocabularies within the context of geoscience education and explore how the broader themes that emerge can inform the development and use of ontologies throughout Earth and space science.

Transportation use in community-dwelling older adults: association with participation and leisure activities.

PubMed

Dahan-Oliel, Noémi; Mazer, Barbara; Gélinas, Isabelle; Dobbs, Bonnie; Lefebvre, Hélène

2010-12-01

This article presents a study that compared participation by elderly individuals living in the community according to primary transportation mode used, and estimated the association between transportation, personal factors, and environmental factors. Participants included 90 adults aged 65 and older (M=76.3 years; SD=7.7). They were classified according to their primary transportation mode: driver, passenger, public transport user, walk, or adapted transport/taxi user. Participation was measured with the Craig Handicap Assessment and Reporting Technique (CHART) and the Nottingham Leisure Questionnaire (NLQ). Overall, results indicated that drivers, public transport users, and walkers had higher participation levels compared to passengers and adapted transport/taxi users. This study suggests that clinicians should consider older adults' use of transportation in an attempt to encourage and maximize their participation.

Method of recommending items to a user based on user interest

DOEpatents

Bollen, John; Van De Sompel, Herbert

2013-11-05

Although recording of usage data is common in scholarly information services, its exploitation for the creation of value-added services remains limited due to concerns regarding, among others, user privacy, data validity, and the lack of accepted standards for the representation, sharing and aggregation of usage data. A technical, standards-based architecture for sharing usage information is presented. In this architecture, OpenURL-compliant linking servers aggregate usage information of a specific user community as it navigates the distributed information environment that it has access to. This usage information is made OAI-PMH harvestable so that usage information exposed by many linking servers can be aggregated to facilitate the creation of value-added services with a reach beyond that of a single community or a single information service.

JHelioviewer: Open-Source Software for Discovery and Image Access in the Petabyte Age

NASA Astrophysics Data System (ADS)

Mueller, D.; Dimitoglou, G.; Garcia Ortiz, J.; Langenberg, M.; Nuhn, M.; Dau, A.; Pagel, S.; Schmidt, L.; Hughitt, V. K.; Ireland, J.; Fleck, B.

2011-12-01

The unprecedented torrent of data returned by the Solar Dynamics Observatory is both a blessing and a barrier: a blessing for making available data with significantly higher spatial and temporal resolution, but a barrier for scientists to access, browse and analyze them. With such staggering data volume, the data is accessible only from a few repositories and users have to deal with data sets effectively immobile and practically difficult to download. From a scientist's perspective this poses three challenges: accessing, browsing and finding interesting data while avoiding the proverbial search for a needle in a haystack. To address these challenges, we have developed JHelioviewer, an open-source visualization software that lets users browse large data volumes both as still images and movies. We did so by deploying an efficient image encoding, storage, and dissemination solution using the JPEG 2000 standard. This solution enables users to access remote images at different resolution levels as a single data stream. Users can view, manipulate, pan, zoom, and overlay JPEG 2000 compressed data quickly, without severe network bandwidth penalties. Besides viewing data, the browser provides third-party metadata and event catalog integration to quickly locate data of interest, as well as an interface to the Virtual Solar Observatory to download science-quality data. As part of the ESA/NASA Helioviewer Project, JHelioviewer offers intuitive ways to browse large amounts of heterogeneous data remotely and provides an extensible and customizable open-source platform for the scientific community. In addition, the easy-to-use graphical user interface enables the general public and educators to access, enjoy and reuse data from space missions without barriers.

[Substance use and risk behaviors of out-of-treatment cocaine base paste and cocaine hydrochloride users].

PubMed

Santis B, Rodrigo; Hidalgo C, Carmen Gloria; Hayden C, Viviana; Anselmo M, Enzo; Rodríguez T, Jorge; Cartajena de la M, Fernando; Dreyse D, Jorge; Torres B, Rafael

2007-01-01

In Chile, cocaine base paste (CBP) is the illegal substance that produces the highest rate of addiction. Nonetheless, a marginal number of users receive treatment each year. To compare the consumption patterns and risk behavior of CBP and cocaine hydrochloride (CH) users who do not attend rehabilitation services. In a prospective research design, through a study methodology called Privileged Access Interview of hidden populations, 28 surveyors recruited 231 CBP users (group 1) and 236 CH users (group 2). The Risk Behavior Questionnaire was applied in four communities of Metropolitan Santiago, that have the highest prevalence of PBC and CH use. CBP users showed higher schools drop-out and unemployment rates. Subjects of both groups were predominantly polysubstance and polyaddicted users. The severity of addiction to CBP of group 1 was significantly higher than the severity of addiction to CH of group 2 (5.5 versus 5.1: p<0.001). CBP users showed significantly higher rates of sexual risk behaviors, antisocial behavior, self infliction of injuries, suicide attempt and child neglect. A higher vulnerability was shown for users of CBP than those of CH. Attention is drawn to the need for developing community interventions in order to alter substance abuse and the risk behavior of these vulnerable groups.

Polarization of the vaccination debate on Facebook.

PubMed

Schmidt, Ana Lucía; Zollo, Fabiana; Scala, Antonio; Betsch, Cornelia; Quattrociocchi, Walter

2018-06-14

Vaccine hesitancy has been recognized as a major global health threat. Having access to any type of information in social media has been suggested as a potential influence on the growth of anti-vaccination groups. Recent studies w.r.t. other topics than vaccination show that access to a wide amount of content through the Internet without intermediaries resolved into major segregation of the users in polarized groups. Users select information adhering to theirs system of beliefs and tend to ignore dissenting information. The goal was to assess whether users' attitudes are polarized on the topic of vaccination on Facebook and how this polarization develops over time. We perform a thorough quantitative analysis by studying the interaction of 2.6 M users with 298,018 Facebook posts over a time span of seven years and 5 months. We applied community detection algorithms to automatically detect the emergence of communities accounting for the users' activity on the pages. Also, we quantified the cohesiveness of these communities over time. Our findings show that the consumption of content about vaccines is dominated by the echo chamber effect and that polarization increased over the years. Well-segregated communities emerge from the users' consumption habits i.e., the majority of users consume information in favor or against vaccines, not both. The existence of echo chambers may explain why social-media campaigns that provide accurate information have limited reach and be effective only in sub-groups, even fomenting further opinion polarization. The introduction of dissenting information into a sub-group is disregarded and can produce a backfire effect, thus reinforcing the pre-existing opinions within the sub-group. Public health professionals should try to understand the contents of these echo chambers, for example by getting passively involved in such groups. Only then it will be possible to find effective ways of countering anti-vaccination thinking. Copyright © 2018 Elsevier Ltd. All rights reserved.

Social and place-focused communities in location-based online social networks

NASA Astrophysics Data System (ADS)

Brown, Chloë; Nicosia, Vincenzo; Scellato, Salvatore; Noulas, Anastasios; Mascolo, Cecilia

2013-06-01

Thanks to widely available, cheap Internet access and the ubiquity of smartphones, millions of people around the world now use online location-based social networking services. Understanding the structural properties of these systems and their dependence upon users' habits and mobility has many potential applications, including resource recommendation and link prediction. Here, we construct and characterise social and place-focused graphs by using longitudinal information about declared social relationships and about users' visits to physical places collected from a popular online location-based social service. We show that although the social and place-focused graphs are constructed from the same data set, they have quite different structural properties. We find that the social and location-focused graphs have different global and meso-scale structure, and in particular that social and place-focused communities have negligible overlap. Consequently, group inference based on community detection performed on the social graph alone fails to isolate place-focused groups, even though these do exist in the network. By studying the evolution of tie structure within communities, we show that the time period over which location data are aggregated has a substantial impact on the stability of place-focused communities, and that information about place-based groups may be more useful for user-centric applications than that obtained from the analysis of social communities alone.

HIV cure research community engagement in North Carolina: a mixed-methods evaluation of a crowdsourcing contest.

PubMed

Mathews, Allison; Farley, Samantha; Blumberg, Meredith; Knight, Kimberley; Hightow-Weidman, Lisa; Muessig, Kate; Rennie, Stuart; Tucker, Joseph

2017-10-01

The purpose of this study was to evaluate the feasibility of using a crowdsourcing contest to promote HIV cure research community engagement. Crowdsourcing contests are open calls for community participation to achieve a task, in this case to engage local communities about HIV cure research. Our contest solicited images and videos of what HIV cure meant to people. Contestants submitted entries to IdeaScale, an encrypted online contest platform. We used a mixed-methods study design to evaluate the contest. Engagement was assessed through attendance at promotional events and social media user analytics. Google Analytics measured contest website user-engagement statistics. Text from contest video entries was transcribed, coded and analysed using MAXQDA. There were 144 attendees at three promotional events and 32 entries from 39 contestants. Most individuals who submitted entries were black ( n =31), had some college education ( n =18) and were aged 18-23 years ( n =23). Social media analytics showed 684 unique page followers, 2233 unique page visits, 585 unique video views and an overall reach of 80,624 unique users. Contest submissions covered themes related to the community's role in shaping the future of HIV cure through education, social justice, creativity and stigma reduction. Crowdsourcing contests are feasible for engaging community members in HIV cure research. Community contributions to crowdsourcing contests provide useful content for culturally relevant and locally responsive research engagement.

76 FR 12996 - Data Users Advisory Committee, Notice of Meeting and Agenda

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-09

... DEPARTMENT OF LABOR Bureau of Labor Statistics Data Users Advisory Committee, Notice of Meeting... advice to the Bureau of Labor Statistics from the points of view of data users from various sectors of the U.S. economy, including the labor, business, research, academic, and government communities, on...

SedInConnect: a stand-alone, free and open source tool for the assessment of sediment connectivity

NASA Astrophysics Data System (ADS)

Crema, Stefano; Cavalli, Marco

2018-02-01

There is a growing call, within the scientific community, for solid theoretic frameworks and usable indices/models to assess sediment connectivity. Connectivity plays a significant role in characterizing structural properties of the landscape and, when considered in combination with forcing processes (e.g., rainfall-runoff modelling), can represent a valuable analysis for an improved landscape management. In this work, the authors present the development and application of SedInConnect: a free, open source and stand-alone application for the computation of the Index of Connectivity (IC), as expressed in Cavalli et al. (2013) with the addition of specific innovative features. The tool is intended to have a wide variety of users, both from the scientific community and from the authorities involved in the environmental planning. Thanks to its open source nature, the tool can be adapted and/or integrated according to the users' requirements. Furthermore, presenting an easy-to-use interface and being a stand-alone application, the tool can help management experts in the quantitative assessment of sediment connectivity in the context of hazard and risk assessment. An application to a sample dataset and an overview on up-to-date applications of the approach and of the tool shows the development potential of such analyses. The modelled connectivity, in fact, appears suitable not only to characterize sediment dynamics at the catchment scale but also to integrate prediction models and as a tool for helping geomorphological interpretation.

Online support for transgender people: an analysis of forums and social networks.

PubMed

Cipolletta, Sabrina; Votadoro, Riccardo; Faccio, Elena

2017-09-01

Transgender people face a range of personal and social conflicts that strongly influence their well-being. In many cases, the Internet can become the main resource in terms of finding support. The aim of this study was to understand how transgender people give and receive help online. Between 2013 and 2015, 122 online community conversations were collected on Italian forums and Facebook groups involving transgender people, and online interviews were conducted with 16 users of these communities. A qualitative content analysis was conducted by using the software package, NVivo10. The main categories that emerged were: motivations to join an online community, online help, differences between online and offline interactions, status, conflicts and professional help. Results indicate that participation in online communities often derives from the users' need for help. This help can be given by peers who have had similar experiences, and by professionals who participate in the discussions as moderator. The need to test one's own identity, to compare oneself with others and to share one's personal experiences made online communities at risk of exposing users to invalidation and transphobic messages. Administrators and moderators try to ensure the safety of users, and suggest that they ask for professional help offline and/or online when over-specific medical advice was sought. This study confirms that transgender people might find benefit from an online platform of help and support and might minimise distance problems, increase financial convenience and foster disinhibition. © 2017 John Wiley & Sons Ltd.

Predicting use of case management support services for adolescents and adults living in community following brain injury: A longitudinal Canadian database study with implications for life care planning.

PubMed

Baptiste, B; Dawson, D R; Streiner, D

2015-01-01

To determine factors associated with case management (CM) service use in people with traumatic brain injury (TBI), using a published model for service use. A retrospective cohort, with nested case-control design. Correlational and logistic regression analyses of questionnaires from a longitudinal community data base. Questionnaires of 203 users of CM services and 273 non-users, complete for all outcome and predictor variables. Individuals with TBI, 15 years of age and older. Out of a dataset of 1,960 questionnaires, 476 met the inclusion criteria. Eight predictor variables and one outcome variable (use or non-use of the service). Predictor variables considered the framework of the Behaviour Model of Health Service Use (BMHSU); specifically, pre-disposing, need and enabling factor groups as these relate to health service use and access. Analyses revealed significant differences between users and non-users of CM services. In particular, users were significantly younger than non-users as the older the person the less likely to use the service. Also, users had less education and more severe activity limitations and lower community integration. Persons living alone are less likely to use case management. Funding groups also significantly impact users. This study advances an empirical understanding of equity of access to health services usage in the practice of CM for persons living with TBI as a fairly new area of research, and considers direct relevance to Life Care Planning (LCP). Many life care planers are CM and the genesis of LCP is CM. The findings relate to health service use and access, rather than health outcomes. These findings may assist with development of a modified model for prediction of use to advance future cost of care predictions.

An exploratory study on association between family relationship and relapse among methamphetamine users in Compulsory Treatment System of Khon Kaen and Yasothon Provinces.

PubMed

Rodseeda, Pritsana; Ratanasiri, Amornrat; Kanato, Manop; Pinitsoontorn, Somdej; Chiawiriyabunya, Isara

2010-03-01

It was estimated that 3.5 million Thais have ever used "Yaba (methamphetamine)" at least once in their entire life. The Northeastern region had the highest number of Yaba users with a high relapse rate after treatment. The authors aimed to explore the association between relapse, among methamphetamine users in the Compulsory Treatment System of Khon Kaen and Yasothon Provinces, and family relationship as well as other contextual factors. An exploratory study was conducted from all cases of post-treatment methamphetamine users in the databases of Khon Kaen Drug Dependence Treatment Center and Yasothorn Provincial Probation Office during October 2007 and February 2008. Interviews and observations were done for data collection. Double data entry was applied. Pearson Chi-square, Fisher's exact test and odds ratio were used to assess the associations. Sixty-five users were found (13 relapses and 52 abstainers). Family relationship revealed no significant association with relapse of the methamphetamine users. Other contextual factors, however, did. They were social acceptance [acceptance by community leader (p = 0.006), acceptance for working or studying (p = 0.049)], risky community situations [using Yaba of close friend, existence of Yaba users and Yaba trading in community (p = 0.014, p < 0.001 and p = 0.038 respectively)] and risky personal behaviors [ever selling or being a Yaba agent and drinking of alcohol to reduce Yaba desire (p = 0.012 and p = 0.013)]. Effect of family relationship on relapse among post-treatment methamphetamine users could not be demonstrated in the present study. But several contextual factors had significant relationship with the relapse.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tagestad, Jerry D.; Bolte, John; Guzy, Michael

During this final year of the Pacific Northwest Regional Collaboratory we focused significantly on continuing the relationship between technical teams and government end-users. The main theme of the year was integration. This took the form of data integration via our web portal and integration of our technologies with the end users. The PNWRC's technical portfolio is based on EOS strategies, and focuses on 'applications of national priority: water management, invasive species, coastal management and ecological forecasting.' The products of our technical approaches have been well received by the community of focused end-users. The objective this year was to broaden thatmore » community and develop external support to continue and operationalize product development.« less

Transaction costs and community-based natural resource management in Nepal.

PubMed

Adhikari, Bhim; Lovett, Jon C

2006-01-01

Transaction costs in community-based resource management are incurred by households attempting to enforce property right rules over common resources similar to those inherent in private property rights. Despite their importance, transaction costs of community-based management of common pool resources (CPRs) are often not incorporated into the economic analysis of participatory resource management. This paper examines the transaction costs incurred by forest users in community forestry (CF) based on a survey of 309 households belonging to eight different forest user groups (FUGs) in the mid hills of Nepal. The analysis reveals that the average 'poor' household incurred Nepalese rupees (NRS) 1265 in transaction costs annually, while wealthier 'rich' households incurred an average of NRS 2312 per year. Although richer households bear higher proportions of such costs, transaction costs for CF management as a percentage of resource appropriation costs are higher for poorer households (26%) than those of middle-wealth (24%) or rich households (14%). There are also village differences in the level of transaction costs. The results show that transaction costs are a major component of resource management costs and vary according to socio-economic status of resource users and characteristics of the community.

Tai Chi: moving for better balance -- development of a community-based falls prevention program.

PubMed

Li, Fuzhong; Harmer, Peter; Mack, Karin A; Sleet, David; Fisher, K John; Kohn, Melvin A; Millet, Lisa M; Xu, Junheng; Yang, Tingzhong; Sutton, Beth; Tompkins, Yvaughn

2008-05-01

This study was designed to develop an evidence- and community based falls prevention program -- Tai Chi: Moving for Better Balance. A mixed qualitative and quantitative approach was used to develop a package of materials for program implementation and evaluation. The developmental work was conducted in 2 communities in the Pacific Northwest. Participants included a panel of experts, senior service program managers or activity coordinators, and older adults. Outcome measures involved program feasibility and satisfaction. Through an iterative process, a program package was developed. The package contained an implementation plan and class training materials (ie, instructor's manual, videotape, and user's guidebook). Pilot testing of program materials showed that the content was appropriate for the targeted users (community-living older adults) and providers (local senior service organizations). A feasibility survey indicated interest and support from users and providers for program implementation. A 2-week pilot evaluation showed that the program implementation was feasible and evidenced good class attendance, high participant satisfaction, and interest in continuing Tai Chi. The package of materials developed in this study provides a solid foundation for larger scale implementation and evaluation of the program in community settings.

Aerodynamics and Control of Quadrotors

NASA Astrophysics Data System (ADS)

Bangura, Moses

Quadrotors are aerial vehicles with a four motor-rotor assembly for generating lift and controllability. Their light weight, ease of design and simple dynamics have increased their use in aerial robotics research. There are many quadrotors that are commercially available or under development. Commercial off-the-shelf quadrotors usually lack the ability to be reprogrammed and are unsuitable for use as research platforms. The open-source code developed in this thesis differs from other open-source systems by focusing on the key performance road blocks in implementing high performance experimental quadrotor platforms for research: motor-rotor control for thrust regulation, velocity and attitude estimation, and control for position regulation and trajectory tracking. In all three of these fundamental subsystems, code sub modules for implementation on commonly available hardware are provided. In addition, the thesis provides guidance on scoping and commissioning open-source hardware components to build a custom quadrotor. A key contribution of the thesis is then a design methodology for the development of experimental quadrotor platforms from open-source or commercial off-the-shelf software and hardware components that have active community support. Quadrotors built following the methodology allows the user access to the operation of the subsystems and, in particular, the user can tune the gains of the observers and controllers in order to push the overall system to its performance limits. This enables the quadrotor framework to be used for a variety of applications such as heavy lifting and high performance aggressive manoeuvres by both the hobby and academic communities. To address the question of thrust control, momentum and blade element theories are used to develop aerodynamic models for rotor blades specific to quadrotors. With the aerodynamic models, a novel thrust estimation and control scheme that improves on existing RPM (revolutions per minute) control of rotors is proposed. The approach taken uses the measured electrical power into the rotors compensating for electrical loses, to estimate changing aerodynamic conditions around a rotor as well as the aerodynamic thrust force. The resulting control algorithms are implemented in real-time on the embedded electronic speed controller (ESC) hardware. Using the estimates of the aerodynamic conditions around the rotor at this level improves the dynamic response to gust as the low-level thrust control is the fastest dynamic level on the vehicle. The aerodynamic estimation scheme enables the vehicle to react almost instantaneously to aerodynamic changes in the environment without affecting the overall dynamic performance of the vehicle. (Abstract shortened by ProQuest.).

The EGI-Engage EPOS Competence Center - Interoperating heterogeneous AAI mechanisms and Orchestrating distributed computational resources

NASA Astrophysics Data System (ADS)

Bailo, Daniele; Scardaci, Diego; Spinuso, Alessandro; Sterzel, Mariusz; Schwichtenberg, Horst; Gemuend, Andre

2016-04-01

The mission of EGI-Engage project [1] is to accelerate the implementation of the Open Science Commons vision, where researchers from all disciplines have easy and open access to the innovative digital services, data, knowledge and expertise they need for collaborative and excellent research. The Open Science Commons is grounded on three pillars: the e-Infrastructure Commons, an ecosystem of services that constitute the foundation layer of distributed infrastructures; the Open Data Commons, where observations, results and applications are increasingly available for scientific research and for anyone to use and reuse; and the Knowledge Commons, in which communities have shared ownership of knowledge, participate in the co-development of software and are technically supported to exploit state-of-the-art digital services. To develop the Knowledge Commons, EGI-Engage is supporting the work of a set of community-specific Competence Centres, with participants from user communities (scientific institutes), National Grid Initiatives (NGIs), technology and service providers. Competence Centres collect and analyse requirements, integrate community-specific applications into state-of-the-art services, foster interoperability across e-Infrastructures, and evolve services through a user-centric development model. One of these Competence Centres is focussed on the European Plate Observing System (EPOS) [2] as representative of the solid earth science communities. EPOS is a pan-European long-term plan to integrate data, software and services from the distributed (and already existing) Research Infrastructures all over Europe, in the domain of the solid earth science. EPOS will enable innovative multidisciplinary research for a better understanding of the Earth's physical and chemical processes that control earthquakes, volcanic eruptions, ground instability and tsunami as well as the processes driving tectonics and Earth's surface dynamics. EPOS will improve our ability to better manage the use of the subsurface of the Earth. EPOS started its Implementation Phase in October 2015 and is now actively working in order to integrate multidisciplinary data into a single e-infrastructure. Multidisciplinary data are organized and governed by the Thematic Core Services (TCS) - European wide organizations and e-Infrastructure providing community specific data and data products - and are driven by various scientific communities encompassing a wide spectrum of Earth science disciplines. TCS data, data products and services will be integrated into the Integrated Core Services (ICS) system, that will ensure their interoperability and access to these services by the scientific community as well as other users within the society. The EPOS competence center (EPOS CC) goal is to tackle two of the main challenges that the ICS are going to face in the near future, by taking advantage of the technical solutions provided by EGI. In order to do this, we will present the two pilot use cases the EGI-EPOS CC is developing: 1) The AAI pilot, dealing with the provision of transparent and homogeneous access to the ICS infrastructure to users owning different kind of credentials (e.g. eduGain, OpenID Connect, X509 certificates etc.). Here the focus is on the mechanisms which allow the credential delegation. 2) The computational pilot, Improve the back-end services of an existing application in the field of Computational Seismology, developed in the context of the EC funded project VERCE. The application allows the processing and the comparison of data resulting from the simulation of seismic wave propagation following a real earthquake and real measurements recorded by seismographs. While the simulation data is produced directly by the users and stored in a Data Management System, the observations need to be pre-staged from institutional data-services, which are maintained by the community itself. This use case aims at exploiting the EGI FedCloud e-infrastructure for Data Intensive analysis and also explores possible interaction with other Common Data Infrastructure initiatives as EUDAT. In the presentation, the state of the art of the two use cases, together with the open challenges and the future application will be discussed. Also, possible integration of EGI solutions with EPOS and other e-infrastructure providers will be considered. [1] EGI-ENGAGE https://www.egi.eu/about/egi-engage/ [2] EPOS http://www.epos-eu.org/

Smart LED allocation scheme for efficient multiuser visible light communication networks.

PubMed

Sewaiwar, Atul; Tiwari, Samrat Vikramaditya; Chung, Yeon Ho

2015-05-18

In a multiuser bidirectional visible light communication (VLC), a large number of LEDs or an LED array needs to be allocated in an efficient manner to ensure sustainable data rate and link quality. Moreover, in order to support an increasing or decreasing number of users in the network, the LED allocation is required to be performed dynamically. In this paper, a novel smart LED allocation scheme for efficient multiuser VLC networks is presented. The proposed scheme allocates RGB LEDs to multiple users in a dynamic and efficient fashion, while satisfying illumination requirements in an indoor environment. The smart LED array comprised of RGB LEDs is divided into sectors according to the location of the users. The allocated sectors then provide optical power concentration toward the users for efficient and reliable data transmission. An algorithm for the dynamic allocation of the LEDs is also presented. To verify its effective resource allocation feature of the proposed scheme, simulations were performed. It is found that the proposed smart LED allocation scheme provides the effect of optical beamforming toward individual users, thereby increasing the collective power concentration of the optical signals on the desirable users and resulting in significantly increased data rate, while ensuring sufficient illumination in a multiuser VLC environment.

Few Things About Idioms: Understanding Idioms and Its Users in the Twitter Online Social Network

DTIC Science & Technology

2015-05-22

popular, but active users who mostly use Twitter as a conversa- tional platform – as opposed to other users who primarily discuss topical contents ...and content -based) algorithms for community detection on the Twitter social network, and show that idiom oriented users get clustered better in one...they are mostly general and active Twitter users , as opposed to being popular experts / celebrities who usually drive topics such as politics and

Question popularity analysis and prediction in community question answering services.

PubMed

Liu, Ting; Zhang, Wei-Nan; Cao, Liujuan; Zhang, Yu

2014-01-01

With the blooming of online social media applications, Community Question Answering (CQA) services have become one of the most important online resources for information and knowledge seekers. A large number of high quality question and answer pairs have been accumulated, which allow users to not only share their knowledge with others, but also interact with each other. Accordingly, volumes of efforts have been taken to explore the questions and answers retrieval in CQA services so as to help users to finding the similar questions or the right answers. However, to our knowledge, less attention has been paid so far to question popularity in CQA. Question popularity can reflect the attention and interest of users. Hence, predicting question popularity can better capture the users' interest so as to improve the users' experience. Meanwhile, it can also promote the development of the community. In this paper, we investigate the problem of predicting question popularity in CQA. We first explore the factors that have impact on question popularity by employing statistical analysis. We then propose a supervised machine learning approach to model these factors for question popularity prediction. The experimental results show that our proposed approach can effectively distinguish the popular questions from unpopular ones in the Yahoo! Answers question and answer repository.

NASA Reverb: Standards-Driven Earth Science Data and Service Discovery

NASA Astrophysics Data System (ADS)

Cechini, M. F.; Mitchell, A.; Pilone, D.

2011-12-01

NASA's Earth Observing System Data and Information System (EOSDIS) is a core capability in NASA's Earth Science Data Systems Program. NASA's EOS ClearingHOuse (ECHO) is a metadata catalog for the EOSDIS, providing a centralized catalog of data products and registry of related data services. Working closely with the EOSDIS community, the ECHO team identified a need to develop the next generation EOS data and service discovery tool. This development effort relied on the following principles: + Metadata Driven User Interface - Users should be presented with data and service discovery capabilities based on dynamic processing of metadata describing the targeted data. + Integrated Data & Service Discovery - Users should be able to discovery data and associated data services that facilitate their research objectives. + Leverage Common Standards - Users should be able to discover and invoke services that utilize common interface standards. Metadata plays a vital role facilitating data discovery and access. As data providers enhance their metadata, more advanced search capabilities become available enriching a user's search experience. Maturing metadata formats such as ISO 19115 provide the necessary depth of metadata that facilitates advanced data discovery capabilities. Data discovery and access is not limited to simply the retrieval of data granules, but is growing into the more complex discovery of data services. These services include, but are not limited to, services facilitating additional data discovery, subsetting, reformatting, and re-projecting. The discovery and invocation of these data services is made significantly simpler through the use of consistent and interoperable standards. By utilizing an adopted standard, developing standard-specific adapters can be utilized to communicate with multiple services implementing a specific protocol. The emergence of metadata standards such as ISO 19119 plays a similarly important role in discovery as the 19115 standard. After a yearlong design, development, and testing process, the ECHO team successfully released "Reverb - The Next Generation Earth Science Discovery Tool." Reverb relies heavily on the information contained in dataset and granule metadata, such as ISO 19115, to provide a dynamic experience to users based on identified search facet values extracted from science metadata. Such an approach allows users to perform cross-dataset correlation and searches, discovering additional data that they may not previously have been aware of. In addition to data discovery, Reverb users may discover services associated with their data of interest. When services utilize supported standards and/or protocols, Reverb can facilitate the invocation of both synchronous and asynchronous data processing services. This greatly enhances a users ability to discover data of interest and accomplish their research goals. Extrapolating on the current movement towards interoperable standards and an increase in available services, data service invocation and chaining will become a natural part of data discovery. Reverb is one example of a discovery tool that provides a mechanism for transforming the earth science data discovery paradigm.

Caltech/JPL Conference on Image Processing Technology, Data Sources and Software for Commercial and Scientific Applications

NASA Technical Reports Server (NTRS)

Redmann, G. H.

1976-01-01

Recent advances in image processing and new applications are presented to the user community to stimulate the development and transfer of this technology to industrial and commercial applications. The Proceedings contains 37 papers and abstracts, including many illustrations (some in color) and provides a single reference source for the user community regarding the ordering and obtaining of NASA-developed image-processing software and science data.

Challenges in integrating multidisciplinary data into a single e-infrastructure

NASA Astrophysics Data System (ADS)

Atakan, Kuvvet; Jeffery, Keith G.; Bailo, Daniele; Harrison, Matthew

2015-04-01

The European Plate Observing System (EPOS) aims to create a pan-European infrastructure for solid Earth science to support a safe and sustainable society. The mission of EPOS is to monitor and understand the dynamic and complex Earth system by relying on new e-science opportunities and integrating diverse and advanced Research Infrastructures in Europe for solid Earth Science. EPOS will enable innovative multidisciplinary research for a better understanding of the Earth's physical and chemical processes that control earthquakes, volcanic eruptions, ground instability and tsunami as well as the processes driving tectonics and Earth's surface dynamics. EPOS will improve our ability to better manage the use of the subsurface of the Earth. Through integration of data, models and facilities EPOS will allow the Earth Science community to make a step change in developing new concepts and tools for key answers to scientific and socio-economic questions concerning geo-hazards and geo-resources as well as Earth sciences applications to the environment and to human welfare. EPOS is now getting into its Implementation Phase (EPOS-IP). One of the main challenges during the implementation phase is the integration of multidisciplinary data into a single e-infrastructure. Multidisciplinary data are organized and governed by the Thematic Core Services (TCS) and are driven by various scientific communities encompassing a wide spectrum of Earth science disciplines. TCS data, data products and services will be integrated into a platform "the ICS system" that will ensure their interoperability and access to these services by the scientific community as well as other users within the society. This requires dedicated tasks for interactions with the various TCS-WPs, as well as the various distributed ICS (ICS-Ds), such as High Performance Computing (HPC) facilities, large scale data storage facilities, complex processing and visualization tools etc. Computational Earth Science (CES) services are identified as a transversal activity and as such need to be harmonized and provided within the ICS. In order to develop a metadata catalogue and the ICS system, the content from the entire spectrum of services included in TCS, ICS-Ds as well as CES activities, need to be organized in a systematic manner taking into account global and European IT-standards, while complying with the user needs and data provider requirements.

Freeing Worldview's development process: Open source everything!

NASA Astrophysics Data System (ADS)

Gunnoe, T.

2016-12-01

Freeing your code and your project are important steps for creating an inviting environment for collaboration, with the added side effect of keeping a good relationship with your users. NASA Worldview's codebase was released with the open source NOSA (NASA Open Source Agreement) license in 2014, but this is only the first step. We also have to free our ideas, empower our users by involving them in the development process, and open channels that lead to the creation of a community project. There are many highly successful examples of Free and Open Source Software (FOSS) projects of which we can take note: the Linux kernel, Debian, GNOME, etc. These projects owe much of their success to having a passionate mix of developers/users with a great community and a common goal in mind. This presentation will describe the scope of this openness and how Worldview plans to move forward with a more community-inclusive approach.

Content-specific network analysis of peer-to-peer communication in an online community for smoking cessation.

PubMed

Myneni, Sahiti; Cobb, Nathan K; Cohen, Trevor

2016-01-01

Analysis of user interactions in online communities could improve our understanding of health-related behaviors and inform the design of technological solutions that support behavior change. However, to achieve this we would need methods that provide granular perspective, yet are scalable. In this paper, we present a methodology for high-throughput semantic and network analysis of large social media datasets, combining semi-automated text categorization with social network analytics. We apply this method to derive content-specific network visualizations of 16,492 user interactions in an online community for smoking cessation. Performance of the categorization system was reasonable (average F-measure of 0.74, with system-rater reliability approaching rater-rater reliability). The resulting semantically specific network analysis of user interactions reveals content- and behavior-specific network topologies. Implications for socio-behavioral health and wellness platforms are also discussed.

Outsourcing mental health care services? The practice and potential of community-based farms in psychiatric rehabilitation.

PubMed

Iancu, Sorana C; Zweekhorst, Marjolein B M; Veltman, Dick J; van Balkom, Anton J L M; Bunders, Joske F G

2015-02-01

Psychiatric rehabilitation supports individuals with mental disorders to acquire the skills needed for independent lives in communities. This article assesses the potential of outsourcing psychiatric rehabilitation by analysing care farm services in the Netherlands. Service characteristics were analysed across 214 care farms retrieved from a national database. Qualitative insights were provided by five case descriptions, selected from 34 interviews. Institutional care farms were significantly larger and older than private care farms (comprising 88.8% of all care farms). Private, independent care farms provide real-life work conditions to users who are relatively less impaired. Private, contracted care farms tailor the work activities to their capacities and employ professional supervisors. Institutional care farms accommodate for the most vulnerable users. We conclude that collaborations with independent, contracted and institutional care farms would provide mental health care organizations with a diversity in services, enhanced community integration and a better match with users' rehabilitation needs.

DynaSim: A MATLAB Toolbox for Neural Modeling and Simulation

PubMed Central

Sherfey, Jason S.; Soplata, Austin E.; Ardid, Salva; Roberts, Erik A.; Stanley, David A.; Pittman-Polletta, Benjamin R.; Kopell, Nancy J.

2018-01-01

DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It is designed to speed up and simplify the process of generating, sharing, and exploring network models of neurons with one or more compartments. Models can be specified by equations directly (similar to XPP or the Brian simulator) or by lists of predefined or custom model components. The higher-level specification supports arbitrarily complex population models and networks of interconnected populations. DynaSim also includes a large set of features that simplify exploring model dynamics over parameter spaces, running simulations in parallel using both multicore processors and high-performance computer clusters, and analyzing and plotting large numbers of simulated data sets in parallel. It also includes a graphical user interface (DynaSim GUI) that supports full functionality without requiring user programming. The software has been implemented in MATLAB to enable advanced neural modeling using MATLAB, given its popularity and a growing interest in modeling neural systems. The design of DynaSim incorporates a novel schema for model specification to facilitate future interoperability with other specifications (e.g., NeuroML, SBML), simulators (e.g., NEURON, Brian, NEST), and web-based applications (e.g., Geppetto) outside MATLAB. DynaSim is freely available at http://dynasimtoolbox.org. This tool promises to reduce barriers for investigating dynamics in large neural models, facilitate collaborative modeling, and complement other tools being developed in the neuroinformatics community. PMID:29599715

Metavir 2: new tools for viral metagenome comparison and assembled virome analysis

PubMed Central

2014-01-01

Background Metagenomics, based on culture-independent sequencing, is a well-fitted approach to provide insights into the composition, structure and dynamics of environmental viral communities. Following recent advances in sequencing technologies, new challenges arise for existing bioinformatic tools dedicated to viral metagenome (i.e. virome) analysis as (i) the number of viromes is rapidly growing and (ii) large genomic fragments can now be obtained by assembling the huge amount of sequence data generated for each metagenome. Results To face these challenges, a new version of Metavir was developed. First, all Metavir tools have been adapted to support comparative analysis of viromes in order to improve the analysis of multiple datasets. In addition to the sequence comparison previously provided, viromes can now be compared through their k-mer frequencies, their taxonomic compositions, recruitment plots and phylogenetic trees containing sequences from different datasets. Second, a new section has been specifically designed to handle assembled viromes made of thousands of large genomic fragments (i.e. contigs). This section includes an annotation pipeline for uploaded viral contigs (gene prediction, similarity search against reference viral genomes and protein domains) and an extensive comparison between contigs and reference genomes. Contigs and their annotations can be explored on the website through specifically developed dynamic genomic maps and interactive networks. Conclusions The new features of Metavir 2 allow users to explore and analyze viromes composed of raw reads or assembled fragments through a set of adapted tools and a user-friendly interface. PMID:24646187

DynaSim: A MATLAB Toolbox for Neural Modeling and Simulation.

PubMed

Sherfey, Jason S; Soplata, Austin E; Ardid, Salva; Roberts, Erik A; Stanley, David A; Pittman-Polletta, Benjamin R; Kopell, Nancy J

2018-01-01

DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It is designed to speed up and simplify the process of generating, sharing, and exploring network models of neurons with one or more compartments. Models can be specified by equations directly (similar to XPP or the Brian simulator) or by lists of predefined or custom model components. The higher-level specification supports arbitrarily complex population models and networks of interconnected populations. DynaSim also includes a large set of features that simplify exploring model dynamics over parameter spaces, running simulations in parallel using both multicore processors and high-performance computer clusters, and analyzing and plotting large numbers of simulated data sets in parallel. It also includes a graphical user interface (DynaSim GUI) that supports full functionality without requiring user programming. The software has been implemented in MATLAB to enable advanced neural modeling using MATLAB, given its popularity and a growing interest in modeling neural systems. The design of DynaSim incorporates a novel schema for model specification to facilitate future interoperability with other specifications (e.g., NeuroML, SBML), simulators (e.g., NEURON, Brian, NEST), and web-based applications (e.g., Geppetto) outside MATLAB. DynaSim is freely available at http://dynasimtoolbox.org. This tool promises to reduce barriers for investigating dynamics in large neural models, facilitate collaborative modeling, and complement other tools being developed in the neuroinformatics community.

Science opportunity analyzer - a multi-mission tool for planning

NASA Technical Reports Server (NTRS)

Streiffert, B. A.; Polanskey, C. A.; O'Reilly, T.; Colwell, J.

2002-01-01

For many years the diverse scientific community that supports JPL's wide variety ofinterplanetary space missions has needed a tool in order to plan and develop their experiments. The tool needs to be easily adapted to various mission types and portable to the user community. The Science Opportunity Analyzer, SOA, now in its third year of development, is intended to meet this need. SOA is a java-based application that is designed to enable scientists to identify and analyze opportunities for science observations from spacecraft. It differs from other planning tools in that it does not require an in-depth knowledge of the spacecraft command system or operation modes to begin high level planning. Users can, however, develop increasingly detailed levels of design. SOA consists of six major functions: Opportunity Search, Visualization, Observation Design, Constraint Checking, Data Output and Communications. Opportunity Search is a GUI driven interface to existing search engines that can be used to identify times when a spacecraft is in a specific geometrical relationship with other bodies in the solar system. This function can be used for advanced mission planning as well as for making last minute adjustments to mission sequences in response to trajectory modifications. Visualization is a key aspect of SOA. The user can view observation opportunities in either a 3D representation or as a 2D map projection. The user is given extensive flexibility to customize what is displayed in the view. Observation Design allows the user to orient the spacecraft and visualize the projection of the instrument field of view for that orientation using the same views as Opportunity Search. Constraint Checking is provided to validate various geometrical and physical aspects of an observation design. The user has the ability to easily create custom rules or to use official project-generated flight rules. This capability may also allow scientists to easily impact the cost to science if flight rule changes occur. Data Output generates information based on the spacecraft's trajectory, opportunity search results or based on a created observation. The data can be viewed either in tabular format or as a graph. Finally, SOA is unique in that it is designed to be able to communicate with a variety of existing planning and sequencing tools. From the very beginning SOA was designed with the user in mind. Extensive surveys of the potential user community were conducted in order to develop the software requirements. Throughout the development period, close ties have been maintained with the science community to insure that the tool maintains its user focus. Although development is still in its early stages, SOA is already developing a user community on the Cassini project, which is depending on this tool for their science planning. There are other tools at JPL that do various pieces of what SOA can do; however, there is no other tool which combines all these functions and presents them to the user in such a convenient, cohesive, and easy to use fashion.

Earth Sciences data user community feedbacks to PARSE.Insight

NASA Astrophysics Data System (ADS)

Giaretta, David; Guidetti, Veronica

2010-05-01

The presentation in point reports on the topic of long term availability of environmental data as perceived by the Earth Science data user community. In the context of the European strategy for preserving Earth Observation (EO) data and as partner of the EU FP7 PARSE.Insight project (http://www.parse-insight.eu/), the European Space Agency (ESA) issued a public consultation on-line targeting its EO data user base. The timely and active participation confirmed the high interest in the addressed topic. Primary target of such an action is to provide ESA teams dedicated to environmental data access, archiving and re-processing with the first insight from the Earth Science community on the preservation of space data in the long-term. As a significant example, ESA's Climate Change Initiative requires activities like long-term preservation, recalibration and re-processing of data records. The time-span of EO data archives extends from a few years to decades and their value as scientific time-series increases considerably regarding the topic of global change. Future research in the field of Earth Sciences is of invaluable importance: to carry it on researchers worldwide must be enabled to find and access data of interest quickly. At present several thousands of scientists, principal investigators and operators, access EO missions' metadata, data and derived information daily. Main objectives may be to study the global climate change, to check the status of the instrument and the quality of EO data. There is a huge worldwide scientific community calling for the need to keep EO data accessible without time constrains, easily and quickly. The scientific community's standpoint is given over the stewardship of environmental data and the appropriateness of current EO data access systems as enabling digital preservation and offering HPC capabilities. This insight in the Earth Sciences community provides a comprehensive illustration of the users' responses over topics like use experiences with historical EO data, preferences in terms of historical data availability and proposals to better access and use them. The main achievement this initiative brought is certainly enforcing the link with the worldwide Earth Science community on the topic of environmental and space data preservation. Moreover it confirmed the following aspects: - The scientific community needs and wants to access historical environmental data and historical time series of Earth observations, for the most disparate applications across Earth Science; - The community wants to enhance its experiences on historical data exploitation aiming at a more active involvement in the process, e.g. by reporting examples and suggestions to foster data availability and accessibility; - Users are aware and informed about current infrastructures' limitations to enable data availability and accessibility, and ask for timely and effective solutions. This work presentation is a very good opportunity to receive further feedback over the preservation of EO data from the user community attending the conference.

Information diffusion in structured online social networks

NASA Astrophysics Data System (ADS)

Li, Pei; Zhang, Yini; Qiao, Fengcai; Wang, Hui

2015-05-01

Nowadays, due to the word-of-mouth effect, online social networks have been considered to be efficient approaches to conduct viral marketing, which makes it of great importance to understand the diffusion dynamics in online social networks. However, most research on diffusion dynamics in epidemiology and existing social networks cannot be applied directly to characterize online social networks. In this paper, we propose models to characterize the information diffusion in structured online social networks with push-based forwarding mechanism. We introduce the term user influence to characterize the average number of times that messages are browsed which is incurred by a given type user generating a message, and study the diffusion threshold, above which the user influence of generating a message will approach infinity. We conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of use in understanding the diffusion dynamics in online social networks and also critical for advertisers in viral marketing who want to estimate the user influence before posting an advertisement.

Opinion diversity and community formation in adaptive networks

NASA Astrophysics Data System (ADS)

Yu, Y.; Xiao, G.; Li, G.; Tay, W. P.; Teoh, H. F.

2017-10-01

It is interesting and of significant importance to investigate how network structures co-evolve with opinions. In this article, we show that, a simple model integrating consensus formation, link rewiring, and opinion change allows complex system dynamics to emerge, driving the system into a dynamic equilibrium with the co-existence of diversified opinions. Specifically, similar opinion holders may form into communities yet with no strict community consensus; and rather than being separated into disconnected communities, different communities are connected by a non-trivial proportion of inter-community links. More importantly, we show that the complex dynamics may lead to different numbers of communities at the steady state with a given tolerance between different opinion holders. We construct a framework for theoretically analyzing the co-evolution process. Theoretical analysis and extensive simulation results reveal some useful insights into the complex co-evolution process, including the formation of dynamic equilibrium, the transition between different steady states with different numbers of communities, and the dynamics between opinion distribution and network modularity.