Implementation of a Shared Resource Financial Management System

PubMed Central

Caldwell, T.; Gerlach, R.; Israel, M.; Bobin, S.

2010-01-01

CF-6 Norris Cotton Cancer Center (NCCC), an NCI-designated Comprehensive Cancer Center at Dartmouth Medical School, administers 12 Life Sciences Shared Resources. These resources are diverse and offer multiple products and services. Previous methods for tracking resource use, billing, and financial management were time consuming, error prone and lacked appropriate financial management tools. To address these problems, we developed and implemented a web-based application with a built-in authorization system that uses Perl, ModPerl, Apache2, and Oracle as the software infrastructure. The application uses a role-based system to differentiate administrative users with those requesting services and includes many features requested by users and administrators. To begin development, we chose a resource that had an uncomplicated service, a large number of users, and required the use of all of the applications features. The Molecular Biology Core Facility at NCCC fit these requirements and was used as a model for developing and testing the application. After model development, institution wide deployment followed a three-stage process. The first stage was to interview the resource manager and staff to understand day-to-day operations. At the second stage, we generated and tested customized forms defining resource services. During the third stage, we added new resource users and administrators to the system before final deployment. Twelve months after deployment, resource administrators reported that the new system performed well for internal and external billing and tracking resource utilization. Users preferred the application's web-based system for distribution of DNA sequencing and other data. The sample tracking features have enhanced day-to-day resource operations, and an on-line scheduling module for shared instruments has proven a much-needed utility. Principal investigators now are able to restrict user spending to specific accounts and have final approval of the invoices before the billing, which has significantly reduced the number of unpaid invoices.

Domain-general involvement of the posterior frontolateral cortex in time-based resource-sharing in working memory: An fMRI study.

PubMed

Vergauwe, Evie; Hartstra, Egbert; Barrouillet, Pierre; Brass, Marcel

2015-07-15

Working memory is often defined in cognitive psychology as a system devoted to the simultaneous processing and maintenance of information. In line with the time-based resource-sharing model of working memory (TBRS; Barrouillet and Camos, 2015; Barrouillet et al., 2004), there is accumulating evidence that, when memory items have to be maintained while performing a concurrent activity, memory performance depends on the cognitive load of this activity, independently of the domain involved. The present study used fMRI to identify regions in the brain that are sensitive to variations in cognitive load in a domain-general way. More precisely, we aimed at identifying brain areas that activate during maintenance of memory items as a direct function of the cognitive load induced by both verbal and spatial concurrent tasks. Results show that the right IFJ and bilateral SPL/IPS are the only areas showing an increased involvement as cognitive load increases and do so in a domain general manner. When correlating the fMRI signal with the approximated cognitive load as defined by the TBRS model, it was shown that the main focus of the cognitive load-related activation is located in the right IFJ. The present findings indicate that the IFJ makes domain-general contributions to time-based resource-sharing in working memory and allowed us to generate the novel hypothesis by which the IFJ might be the neural basis for the process of rapid switching. We argue that the IFJ might be a crucial part of a central attentional bottleneck in the brain because of its inability to upload more than one task rule at once. Copyright © 2015 Elsevier Inc. All rights reserved.

Coupling Agent-Based and Groundwater Modeling to Explore Demand Management Strategies for Shared Resources

NASA Astrophysics Data System (ADS)

Al-Amin, S.

2015-12-01

Municipal water demands in growing population centers in the arid southwest US are typically met through increased groundwater withdrawals. Hydro-climatic uncertainties attributed to climate change and land use conversions may also alter demands and impact the replenishment of groundwater supply. Groundwater aquifers are not necessarily confined within municipal and management boundaries, and multiple diverse agencies may manage a shared resource in a decentralized approach, based on individual concerns and resources. The interactions among water managers, consumers, and the environment influence the performance of local management strategies and regional groundwater resources. This research couples an agent-based modeling (ABM) framework and a groundwater model to analyze the effects of different management approaches on shared groundwater resources. The ABM captures the dynamic interactions between household-level consumers and policy makers to simulate water demands under climate change and population growth uncertainties. The groundwater model is used to analyze the relative effects of management approaches on reducing demands and replenishing groundwater resources. The framework is applied for municipalities located in the Verde River Basin, Arizona that withdraw groundwater from the Verde Formation-Basin Fill-Carbonate aquifer system. Insights gained through this simulation study can be used to guide groundwater policy-making under changing hydro-climatic scenarios for a long-term planning horizon.

A cognitive gateway-based spectrum sharing method in downlink round robin scheduling of LTE system

NASA Astrophysics Data System (ADS)

Deng, Hongyu; Wu, Cheng; Wang, Yiming

2017-07-01

A key technique of LTE is how to allocate efficiently the resource of radio spectrum. Traditional Round Robin (RR) scheduling scheme may lead to too many resource residues when allocating resources. When the number of users in the current transmission time interval (TTI) is not the greatest common divisor of resource block groups (RBGs), and such a phenomenon lasts for a long time, the spectrum utilization would be greatly decreased. In this paper, a novel spectrum allocation scheme of cognitive gateway (CG) was proposed, in which the LTE spectrum utilization and CG’s throughput were greatly increased by allocating idle resource blocks in the shared TTI in LTE system to CG. Our simulation results show that the spectrum resource sharing method can improve LTE spectral utilization and increase the CG’s throughput as well as network use time.

Application of information theory methods to food web reconstruction

USGS Publications Warehouse

Moniz, L.J.; Cooch, E.G.; Ellner, S.P.; Nichols, J.D.; Nichols, J.M.

2007-01-01

In this paper we use information theory techniques on time series of abundances to determine the topology of a food web. At the outset, the food web participants (two consumers, two resources) are known; in addition we know that each consumer prefers one of the resources over the other. However, we do not know which consumer prefers which resource, and if this preference is absolute (i.e., whether or not the consumer will consume the non-preferred resource). Although the consumers and resources are identified at the beginning of the experiment, we also provide evidence that the consumers are not resources for each other, and the resources do not consume each other. We do show that there is significant mutual information between resources; the model is seasonally forced and some shared information between resources is expected. Similarly, because the model is seasonally forced, we expect shared information between consumers as they respond to the forcing of the resources. The model that we consider does include noise, and in an effort to demonstrate that these methods may be of some use in other than model data, we show the efficacy of our methods with decreasing time series size; in this particular case we obtain reasonably clear results with a time series length of 400 points. This approaches ecological time series lengths from real systems.

Developmental Change in Working Memory Strategies: From Passive Maintenance to Active Refreshing

ERIC Educational Resources Information Center

Camos, Valerie; Barrouillet, Pierre

2011-01-01

Change in strategies is often mentioned as a source of memory development. However, though performance in working memory tasks steadily improves during childhood, theories differ in linking this development to strategy changes. Whereas some theories, such as the time-based resource-sharing model, invoke the age-related increase in use and…

Lowering the barriers to computational modeling of Earth's surface: coupling Jupyter Notebooks with Landlab, HydroShare, and CyberGIS for research and education.

NASA Astrophysics Data System (ADS)

Bandaragoda, C.; Castronova, A. M.; Phuong, J.; Istanbulluoglu, E.; Strauch, R. L.; Nudurupati, S. S.; Tarboton, D. G.; Wang, S. W.; Yin, D.; Barnhart, K. R.; Tucker, G. E.; Hutton, E.; Hobley, D. E. J.; Gasparini, N. M.; Adams, J. M.

2017-12-01

The ability to test hypotheses about hydrology, geomorphology and atmospheric processes is invaluable to research in the era of big data. Although community resources are available, there remain significant educational, logistical and time investment barriers to their use. Knowledge infrastructure is an emerging intellectual framework to understand how people are creating, sharing and distributing knowledge - which has been dramatically transformed by Internet technologies. In addition to the technical and social components in a cyberinfrastructure system, knowledge infrastructure considers educational, institutional, and open source governance components required to advance knowledge. We are designing an infrastructure environment that lowers common barriers to reproducing modeling experiments for earth surface investigation. Landlab is an open-source modeling toolkit for building, coupling, and exploring two-dimensional numerical models. HydroShare is an online collaborative environment for sharing hydrologic data and models. CyberGIS-Jupyter is an innovative cyberGIS framework for achieving data-intensive, reproducible, and scalable geospatial analytics using the Jupyter Notebook based on ROGER - the first cyberGIS supercomputer, so that models that can be elastically reproduced through cloud computing approaches. Our team of geomorphologists, hydrologists, and computer geoscientists has created a new infrastructure environment that combines these three pieces of software to enable knowledge discovery. Through this novel integration, any user can interactively execute and explore their shared data and model resources. Landlab on HydroShare with CyberGIS-Jupyter supports the modeling continuum from fully developed modelling applications, prototyping new science tools, hands on research demonstrations for training workshops, and classroom applications. Computational geospatial models based on big data and high performance computing can now be more efficiently developed, improved, scaled, and seamlessly reproduced among multidisciplinary users, thereby expanding the active learning curriculum and research opportunities for students in earth surface modeling and informatics.

[Tumor Data Interacted System Design Based on Grid Platform].

PubMed

Liu, Ying; Cao, Jiaji; Zhang, Haowei; Zhang, Ke

2016-06-01

In order to satisfy demands of massive and heterogeneous tumor clinical data processing and the multi-center collaborative diagnosis and treatment for tumor diseases,a Tumor Data Interacted System(TDIS)was established based on grid platform,so that an implementing virtualization platform of tumor diagnosis service was realized,sharing tumor information in real time and carrying on standardized management.The system adopts Globus Toolkit 4.0tools to build the open grid service framework and encapsulats data resources based on Web Services Resource Framework(WSRF).The system uses the middleware technology to provide unified access interface for heterogeneous data interaction,which could optimize interactive process with virtualized service to query and call tumor information resources flexibly.For massive amounts of heterogeneous tumor data,the federated stored and multiple authorized mode is selected as security services mechanism,real-time monitoring and balancing load.The system can cooperatively manage multi-center heterogeneous tumor data to realize the tumor patient data query,sharing and analysis,and compare and match resources in typical clinical database or clinical information database in other service node,thus it can assist doctors in consulting similar case and making up multidisciplinary treatment plan for tumors.Consequently,the system can improve efficiency of diagnosis and treatment for tumor,and promote the development of collaborative tumor diagnosis model.

Is Attentional Resource Allocation Across Sensory Modalities Task-Dependent?

PubMed

Wahn, Basil; König, Peter

2017-01-01

Human information processing is limited by attentional resources. That is, via attentional mechanisms, humans select a limited amount of sensory input to process while other sensory input is neglected. In multisensory research, a matter of ongoing debate is whether there are distinct pools of attentional resources for each sensory modality or whether attentional resources are shared across sensory modalities. Recent studies have suggested that attentional resource allocation across sensory modalities is in part task-dependent. That is, the recruitment of attentional resources across the sensory modalities depends on whether processing involves object-based attention (e.g., the discrimination of stimulus attributes) or spatial attention (e.g., the localization of stimuli). In the present paper, we review findings in multisensory research related to this view. For the visual and auditory sensory modalities, findings suggest that distinct resources are recruited when humans perform object-based attention tasks, whereas for the visual and tactile sensory modalities, partially shared resources are recruited. If object-based attention tasks are time-critical, shared resources are recruited across the sensory modalities. When humans perform an object-based attention task in combination with a spatial attention task, partly shared resources are recruited across the sensory modalities as well. Conversely, for spatial attention tasks, attentional processing does consistently involve shared attentional resources for the sensory modalities. Generally, findings suggest that the attentional system flexibly allocates attentional resources depending on task demands. We propose that such flexibility reflects a large-scale optimization strategy that minimizes the brain's costly resource expenditures and simultaneously maximizes capability to process currently relevant information.

Synthesizing community wisdom: A model for sharing cancer-related resources through social networking and collaborative partnerships.

PubMed

Weiss, Jacob B; Lorenzi, Nancy M; Lorenzi, Nancy

2008-11-06

Despite the availability of community-based support services, cancer patients and survivors are not aware of many of these resources. Without access to community programs, cancer survivors are at risk for lower quality of care and lower quality of life. At the same time, non-profit community organizations lack access to advanced consumer informatics applications to effectively promote awareness of their services. In addition to the current models of print and online resource guides, new community-driven informatics approaches are needed to achieve the goal of comprehensive care for cancer survivors. We present the formulation of a novel model for synthesizing a local communitys collective wisdom of cancer-related resources through a combination of online social networking technologies and real-world collaborative partnerships. This approach can improve awareness of essential, but underutilized community resources.

Visual and spatial working memory are not that dissociated after all: a time-based resource-sharing account.

PubMed

Vergauwe, Evie; Barrouillet, Pierre; Camos, Valérie

2009-07-01

Examinations of interference between visual and spatial materials in working memory have suggested domain- and process-based fractionations of visuo-spatial working memory. The present study examined the role of central time-based resource sharing in visuo-spatial working memory and assessed its role in obtained interference patterns. Visual and spatial storage were combined with both visual and spatial on-line processing components in computer-paced working memory span tasks (Experiment 1) and in a selective interference paradigm (Experiment 2). The cognitive load of the processing components was manipulated to investigate its impact on concurrent maintenance for both within-domain and between-domain combinations of processing and storage components. In contrast to both domain- and process-based fractionations of visuo-spatial working memory, the results revealed that recall performance was determined by the cognitive load induced by the processing of items, rather than by the domain to which those items pertained. These findings are interpreted as evidence for a time-based resource-sharing mechanism in visuo-spatial working memory.

Resource-sharing between internal maintenance and external selection modulates attentional capture by working memory content.

PubMed

Kiyonaga, Anastasia; Egner, Tobias

2014-01-01

It is unclear why and under what circumstances working memory (WM) and attention interact. Here, we apply the logic of the time-based resource-sharing (TBRS) model of WM (e.g., Barrouillet et al., 2004) to explore the mixed findings of a separate, but related, literature that studies the guidance of visual attention by WM contents. Specifically, we hypothesize that the linkage between WM representations and visual attention is governed by a time-shared cognitive resource that alternately refreshes internal (WM) and selects external (visual attention) information. If this were the case, WM content should guide visual attention (involuntarily), but only when there is time for it to be refreshed in an internal focus of attention. To provide an initial test for this hypothesis, we examined whether the amount of unoccupied time during a WM delay could impact the magnitude of attentional capture by WM contents. Participants were presented with a series of visual search trials while they maintained a WM cue for a delayed-recognition test. WM cues could coincide with the search target, a distracter, or neither. We varied both the number of searches to be performed, and the amount of available time to perform them. Slowing of visual search by a WM matching distracter-and facilitation by a matching target-were curtailed when the delay was filled with fast-paced (refreshing-preventing) search trials, as was subsequent memory probe accuracy. WM content may, therefore, only capture visual attention when it can be refreshed, suggesting that internal (WM) and external attention demands reciprocally impact one another because they share a limited resource. The TBRS rationale can thus be applied in a novel context to explain why WM contents capture attention, and under what conditions that effect should be observed.

Resource-sharing between internal maintenance and external selection modulates attentional capture by working memory content

PubMed Central

Kiyonaga, Anastasia; Egner, Tobias

2014-01-01

It is unclear why and under what circumstances working memory (WM) and attention interact. Here, we apply the logic of the time-based resource-sharing (TBRS) model of WM (e.g., Barrouillet et al., 2004) to explore the mixed findings of a separate, but related, literature that studies the guidance of visual attention by WM contents. Specifically, we hypothesize that the linkage between WM representations and visual attention is governed by a time-shared cognitive resource that alternately refreshes internal (WM) and selects external (visual attention) information. If this were the case, WM content should guide visual attention (involuntarily), but only when there is time for it to be refreshed in an internal focus of attention. To provide an initial test for this hypothesis, we examined whether the amount of unoccupied time during a WM delay could impact the magnitude of attentional capture by WM contents. Participants were presented with a series of visual search trials while they maintained a WM cue for a delayed-recognition test. WM cues could coincide with the search target, a distracter, or neither. We varied both the number of searches to be performed, and the amount of available time to perform them. Slowing of visual search by a WM matching distracter—and facilitation by a matching target—were curtailed when the delay was filled with fast-paced (refreshing-preventing) search trials, as was subsequent memory probe accuracy. WM content may, therefore, only capture visual attention when it can be refreshed, suggesting that internal (WM) and external attention demands reciprocally impact one another because they share a limited resource. The TBRS rationale can thus be applied in a novel context to explain why WM contents capture attention, and under what conditions that effect should be observed. PMID:25221499

The Impact of Storage on Processing: How Is Information Maintained in Working Memory?

ERIC Educational Resources Information Center

Vergauwe, Evie; Camos, Valérie; Barrouillet, Pierre

2014-01-01

Working memory is typically defined as a system devoted to the simultaneous maintenance and processing of information. However, the interplay between these 2 functions is still a matter of debate in the literature, with views ranging from complete independence to complete dependence. The time-based resource-sharing model assumes that a central…

Children and adolescents' internal models of food-sharing behavior include complex evaluations of contextual factors.

PubMed

Markovits, Henry; Benenson, Joyce F; Kramer, Donald L

2003-01-01

This study examined internal representations of food sharing in 589 children and adolescents (8-19 years of age). Questionnaires, depicting a variety of contexts in which one person was asked to share a resource with another, were used to examine participants' expectations of food-sharing behavior. Factors that were varied included the value of the resource, the relation between the two depicted actors, the quality of this relation, and gender. Results indicate that internal models of food-sharing behavior showed systematic patterns of variation, demonstrating that individuals have complex contextually based internal models at all ages, including the youngest. Examination of developmental changes in use of individual patterns is consistent with the idea that internal models reflect age-specific patterns of interactions while undergoing a process of progressive consolidation.

The OCHIN community information network: bringing together community health centers, information technology, and data to support a patient-centered medical village.

PubMed

Devoe, Jennifer E; Sears, Abigail

2013-01-01

Creating integrated, comprehensive care practices requires access to data and informatics expertise. Information technology (IT) resources are not readily available to individual practices. One model of shared IT resources and learning is a "patient-centered medical village." We describe the OCHIN Community Health Information Network as an example of this model; community practices have come together collectively to form an organization that leverages shared IT expertise, resources, and data, providing members with the means to fully capitalize on new technologies that support improved care. This collaborative facilitates the identification of "problem sheds" through surveillance of network-wide data, enables shared learning regarding best practices, and provides a "community laboratory" for practice-based research. As an example of a community of solution, OCHIN uses health IT and data-sharing innovations to enhance partnerships between public health leaders, clinicians in community health centers, informatics experts, and policy makers. OCHIN community partners benefit from the shared IT resource (eg, a linked electronic health record, centralized data warehouse, informatics, and improvement expertise). This patient-centered medical village provides (1) the collective mechanism to build community-tailored IT solutions, (2) "neighbors" to share data and improvement strategies, and (3) infrastructure to support innovations based on electronic health records across communities, using experimental approaches.

A Geospatial Information Grid Framework for Geological Survey.

PubMed

Wu, Liang; Xue, Lei; Li, Chaoling; Lv, Xia; Chen, Zhanlong; Guo, Mingqiang; Xie, Zhong

2015-01-01

The use of digital information in geological fields is becoming very important. Thus, informatization in geological surveys should not stagnate as a result of the level of data accumulation. The integration and sharing of distributed, multi-source, heterogeneous geological information is an open problem in geological domains. Applications and services use geological spatial data with many features, including being cross-region and cross-domain and requiring real-time updating. As a result of these features, desktop and web-based geographic information systems (GISs) experience difficulties in meeting the demand for geological spatial information. To facilitate the real-time sharing of data and services in distributed environments, a GIS platform that is open, integrative, reconfigurable, reusable and elastic would represent an indispensable tool. The purpose of this paper is to develop a geological cloud-computing platform for integrating and sharing geological information based on a cloud architecture. Thus, the geological cloud-computing platform defines geological ontology semantics; designs a standard geological information framework and a standard resource integration model; builds a peer-to-peer node management mechanism; achieves the description, organization, discovery, computing and integration of the distributed resources; and provides the distributed spatial meta service, the spatial information catalog service, the multi-mode geological data service and the spatial data interoperation service. The geological survey information cloud-computing platform has been implemented, and based on the platform, some geological data services and geological processing services were developed. Furthermore, an iron mine resource forecast and an evaluation service is introduced in this paper.

A Geospatial Information Grid Framework for Geological Survey

PubMed Central

Wu, Liang; Xue, Lei; Li, Chaoling; Lv, Xia; Chen, Zhanlong; Guo, Mingqiang; Xie, Zhong

2015-01-01

The use of digital information in geological fields is becoming very important. Thus, informatization in geological surveys should not stagnate as a result of the level of data accumulation. The integration and sharing of distributed, multi-source, heterogeneous geological information is an open problem in geological domains. Applications and services use geological spatial data with many features, including being cross-region and cross-domain and requiring real-time updating. As a result of these features, desktop and web-based geographic information systems (GISs) experience difficulties in meeting the demand for geological spatial information. To facilitate the real-time sharing of data and services in distributed environments, a GIS platform that is open, integrative, reconfigurable, reusable and elastic would represent an indispensable tool. The purpose of this paper is to develop a geological cloud-computing platform for integrating and sharing geological information based on a cloud architecture. Thus, the geological cloud-computing platform defines geological ontology semantics; designs a standard geological information framework and a standard resource integration model; builds a peer-to-peer node management mechanism; achieves the description, organization, discovery, computing and integration of the distributed resources; and provides the distributed spatial meta service, the spatial information catalog service, the multi-mode geological data service and the spatial data interoperation service. The geological survey information cloud-computing platform has been implemented, and based on the platform, some geological data services and geological processing services were developed. Furthermore, an iron mine resource forecast and an evaluation service is introduced in this paper. PMID:26710255

The HydroShare Collaborative Repository for the Hydrology Community

NASA Astrophysics Data System (ADS)

Tarboton, D. G.; Idaszak, R.; Horsburgh, J. S.; Ames, D. P.; Goodall, J. L.; Couch, A.; Hooper, R. P.; Dash, P. K.; Stealey, M.; Yi, H.; Bandaragoda, C.; Castronova, A. M.

2017-12-01

HydroShare is an online, collaboration system for sharing of hydrologic data, analytical tools, and models. It supports the sharing of, and collaboration around, "resources" which are defined by standardized content types for data formats and models commonly used in hydrology. With HydroShare you can: Share your data and models with colleagues; Manage who has access to the content that you share; Share, access, visualize and manipulate a broad set of hydrologic data types and models; Use the web services application programming interface (API) to program automated and client access; Publish data and models and obtain a citable digital object identifier (DOI); Aggregate your resources into collections; Discover and access data and models published by others; Use web apps to visualize, analyze and run models on data in HydroShare. This presentation will describe the functionality and architecture of HydroShare highlighting our approach to making this system easy to use and serving the needs of the hydrology community represented by the Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI). Metadata for uploaded files is harvested automatically or captured using easy to use web user interfaces. Users are encouraged to add or create resources in HydroShare early in the data life cycle. To encourage this we allow users to share and collaborate on HydroShare resources privately among individual users or groups, entering metadata while doing the work. HydroShare also provides enhanced functionality for users through web apps that provide tools and computational capability for actions on resources. HydroShare's architecture broadly is comprised of: (1) resource storage, (2) resource exploration website, and (3) web apps for actions on resources. System components are loosely coupled and interact through APIs, which enhances robustness, as components can be upgraded and advanced relatively independently. The full power of this paradigm is the extensibility it supports. Web apps are hosted on separate servers, which may be 3rd party servers. They are registered in HydroShare using a web app resource that configures the connectivity for them to be discovered and launched directly from resource types they are associated with.

Representing Hydrologic Models as HydroShare Resources to Facilitate Model Sharing and Collaboration

NASA Astrophysics Data System (ADS)

Castronova, A. M.; Goodall, J. L.; Mbewe, P.

2013-12-01

The CUAHSI HydroShare project is a collaborative effort that aims to provide software for sharing data and models within the hydrologic science community. One of the early focuses of this work has been establishing metadata standards for describing models and model-related data as HydroShare resources. By leveraging this metadata definition, a prototype extension has been developed to create model resources that can be shared within the community using the HydroShare system. The extension uses a general model metadata definition to create resource objects, and was designed so that model-specific parsing routines can extract and populate metadata fields from model input and output files. The long term goal is to establish a library of supported models where, for each model, the system has the ability to extract key metadata fields automatically, thereby establishing standardized model metadata that will serve as the foundation for model sharing and collaboration within HydroShare. The Soil Water & Assessment Tool (SWAT) is used to demonstrate this concept through a case study application.

Bringing Together Community Health Centers, Information Technology and Data to Support a Patient-Centered Medical Village from the OCHIN community of solutions

PubMed Central

DeVoe, Jennifer E.; Sears, Abigail

2013-01-01

Creating integrated, comprehensive care practices requires access to data and informatics expertise. Information technology (IT) resources are not readily available to individual practices. One model of shared IT resources and learning is a “patient-centered medical village.” We describe the OCHIN Community Health Information Network as an example of this model where community practices have come together collectively to form an organization which leverages shared IT expertise, resources, and data, providing members with the means to fully capitalize on new technologies that support improved care. This collaborative facilitates the identification of “problem-sheds” through surveillance of network-wide data, enables shared learning regarding best practices, and provides a “community laboratory” for practice-based research. As an example of a Community of Solution, OCHIN utilizes health IT and data-sharing innovations to enhance partnerships between public health leaders, community health center clinicians, informatics experts, and policy makers. OCHIN community partners benefit from the shared IT resource (e.g. a linked electronic health record (EHR), centralized data warehouse, informatics and improvement expertise). This patient-centered medical village provides (1) the collective mechanism to build community tailored IT solutions, (2) “neighbors” to share data and improvement strategies, and (3) infrastructure to support EHR-based innovations across communities, using experimental approaches. PMID:23657695

Key Technology Research on Open Architecture for The Sharing of Heterogeneous Geographic Analysis Models

NASA Astrophysics Data System (ADS)

Yue, S. S.; Wen, Y. N.; Lv, G. N.; Hu, D.

2013-10-01

In recent years, the increasing development of cloud computing technologies laid critical foundation for efficiently solving complicated geographic issues. However, it is still difficult to realize the cooperative operation of massive heterogeneous geographical models. Traditional cloud architecture is apt to provide centralized solution to end users, while all the required resources are often offered by large enterprises or special agencies. Thus, it's a closed framework from the perspective of resource utilization. Solving comprehensive geographic issues requires integrating multifarious heterogeneous geographical models and data. In this case, an open computing platform is in need, with which the model owners can package and deploy their models into cloud conveniently, while model users can search, access and utilize those models with cloud facility. Based on this concept, the open cloud service strategies for the sharing of heterogeneous geographic analysis models is studied in this article. The key technology: unified cloud interface strategy, sharing platform based on cloud service, and computing platform based on cloud service are discussed in detail, and related experiments are conducted for further verification.

Work-based learning: a leadership development example from an action research study of shared governance implementation.

PubMed

Williamson, Tracey

2005-11-01

An empowering action research study was undertaken to evaluate and strengthen the implementation of shared governance. One aim was to identify factors that acted as aids or barriers to effective decision-making by clinical leaders. As a work-based learning approach, action research was expected to lead to integration of learning into practice by researcher and participants alike. Shared governance replaces traditional hierarchies and requires and develops clinical leaders. Strategies are needed to maximize learning from introduction of such initiatives at the individual, group and organizational level. Participant-observations and interviews were undertaken with shared governance council members from one model in north-west England. Leadership skills and knowledge and shared governance practices were significantly enhanced. Preparation for council roles was considered inadequate. Increased structured time for reflection and action planning was indicated. Implementation of shared governance has succeeded in developing leadership capacity. Evaluation findings have led to improvements in the overall shared governance model. Action research has been found to have great utility at optimizing work-based learning. Nurse Managers need to develop their coaching and facilitating skills and recognize there is no "quick fix" for developing clinical leaders. Implications include the need to support learners in identifying and implementing changes arising from work-based learning activities, the significant resource implications and the need to optimize the organizational climate if work-based learning approaches to leadership and management development are to succeed.

Cyberinfrastructure to Support Collaborative and Reproducible Computational Hydrologic Modeling

NASA Astrophysics Data System (ADS)

Goodall, J. L.; Castronova, A. M.; Bandaragoda, C.; Morsy, M. M.; Sadler, J. M.; Essawy, B.; Tarboton, D. G.; Malik, T.; Nijssen, B.; Clark, M. P.; Liu, Y.; Wang, S. W.

2017-12-01

Creating cyberinfrastructure to support reproducibility of computational hydrologic models is an important research challenge. Addressing this challenge requires open and reusable code and data with machine and human readable metadata, organized in ways that allow others to replicate results and verify published findings. Specific digital objects that must be tracked for reproducible computational hydrologic modeling include (1) raw initial datasets, (2) data processing scripts used to clean and organize the data, (3) processed model inputs, (4) model results, and (5) the model code with an itemization of all software dependencies and computational requirements. HydroShare is a cyberinfrastructure under active development designed to help users store, share, and publish digital research products in order to improve reproducibility in computational hydrology, with an architecture supporting hydrologic-specific resource metadata. Researchers can upload data required for modeling, add hydrology-specific metadata to these resources, and use the data directly within HydroShare.org for collaborative modeling using tools like CyberGIS, Sciunit-CLI, and JupyterHub that have been integrated with HydroShare to run models using notebooks, Docker containers, and cloud resources. Current research aims to implement the Structure For Unifying Multiple Modeling Alternatives (SUMMA) hydrologic model within HydroShare to support hypothesis-driven hydrologic modeling while also taking advantage of the HydroShare cyberinfrastructure. The goal of this integration is to create the cyberinfrastructure that supports hypothesis-driven model experimentation, education, and training efforts by lowering barriers to entry, reducing the time spent on informatics technology and software development, and supporting collaborative research within and across research groups.

A resource oriented webs service for environmental modeling

NASA Astrophysics Data System (ADS)

Ferencik, Ioan

2013-04-01

Environmental modeling is a largely adopted practice in the study of natural phenomena. Environmental models can be difficult to build and use and thus sharing them within the community is an important aspect. The most common approach to share a model is to expose it as a web service. In practice the interaction with this web service is cumbersome due to lack of standardized contract and the complexity of the model being exposed. In this work we investigate the use of a resource oriented approach in exposing environmental models as web services. We view a model as a layered resource build atop the object concept from Object Oriented Programming, augmented with persistence capabilities provided by an embedded object database to keep track of its state and implementing the four basic principles of resource oriented architectures: addressability, statelessness, representation and uniform interface. For implementation we use exclusively open source software: Django framework, dyBase object oriented database and Python programming language. We developed a generic framework of resources structured into a hierarchy of types and consequently extended this typology with recurses specific to the domain of environmental modeling. To test our web service we used cURL, a robust command-line based web client.

Production Level CFD Code Acceleration for Hybrid Many-Core Architectures

NASA Technical Reports Server (NTRS)

Duffy, Austen C.; Hammond, Dana P.; Nielsen, Eric J.

2012-01-01

In this work, a novel graphics processing unit (GPU) distributed sharing model for hybrid many-core architectures is introduced and employed in the acceleration of a production-level computational fluid dynamics (CFD) code. The latest generation graphics hardware allows multiple processor cores to simultaneously share a single GPU through concurrent kernel execution. This feature has allowed the NASA FUN3D code to be accelerated in parallel with up to four processor cores sharing a single GPU. For codes to scale and fully use resources on these and the next generation machines, codes will need to employ some type of GPU sharing model, as presented in this work. Findings include the effects of GPU sharing on overall performance. A discussion of the inherent challenges that parallel unstructured CFD codes face in accelerator-based computing environments is included, with considerations for future generation architectures. This work was completed by the author in August 2010, and reflects the analysis and results of the time.

An Extensible, Modular Architecture Coupling HydroShare and Tethys Platform to Deploy Water Science Web Apps

NASA Astrophysics Data System (ADS)

Nelson, J.; Ames, D. P.; Jones, N.; Tarboton, D. G.; Li, Z.; Qiao, X.; Crawley, S.

2016-12-01

As water resources data continue to move to the web in the form of well-defined, open access, machine readable web services provided by government, academic, and private institutions, there is increased opportunity to move additional parts of the water science workflow to the web (e.g. analysis, modeling, decision support, and collaboration.) Creating such web-based functionality can be extremely time-consuming and resource-intensive and can lead the erstwhile water scientist down a veritable cyberinfrastructure rabbit hole, through an unintended tunnel of transformation to become a Cyber-Wonderland software engineer. We posit that such transformations were never the intention of the research programs that fund earth science cyberinfrastructure, nor is it in the best interest of water researchers to spend exorbitant effort developing and deploying such technologies. This presentation will introduce a relatively simple and ready-to-use water science web app environment funded by the National Science Foundation that couples the new HydroShare data publishing system with the Tethys Platform web app development toolkit. The coupled system has already been shown to greatly lower the barrier to deploying of web based visualization and analysis tools for the CUAHSI Water Data Center and for the National Weather Service's National Water Model. The design and implementation of the developed web app architecture will be presented together key examples of existing apps created using this system. In each of the cases presented, water resources students with basic programming skills were able to develop and deploy highly functional web apps in a relatively short period of time (days to weeks) - allowing the focus to remain on water science rather on cyberinfrastructure. This presentation is accompanied by an open invitation for new collaborations that use the HydroShare-Tethys web app environment.

A shared-world conceptual model for integrating space station life sciences telescience operations

NASA Technical Reports Server (NTRS)

Johnson, Vicki; Bosley, John

1988-01-01

Mental models of the Space Station and its ancillary facilities will be employed by users of the Space Station as they draw upon past experiences, perform tasks, and collectively plan for future activities. The operational environment of the Space Station will incorporate telescience, a new set of operational modes. To investigate properties of the operational environment, distributed users, and the mental models they employ to manipulate resources while conducting telescience, an integrating shared-world conceptual model of Space Station telescience is proposed. The model comprises distributed users and resources (active elements); agents who mediate interactions among these elements on the basis of intelligent processing of shared information; and telescience protocols which structure the interactions of agents as they engage in cooperative, responsive interactions on behalf of users and resources distributed in space and time. Examples from the life sciences are used to instantiate and refine the model's principles. Implications for transaction management and autonomy are discussed. Experiments employing the model are described which the authors intend to conduct using the Space Station Life Sciences Telescience Testbed currently under development at Ames Research Center.

Strategies for Energy Efficient Resource Management of Hybrid Programming Models

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

Li, Dong; Supinski, Bronis de; Schulz, Martin

2013-01-01

Many scientific applications are programmed using hybrid programming models that use both message-passing and shared-memory, due to the increasing prevalence of large-scale systems with multicore, multisocket nodes. Previous work has shown that energy efficiency can be improved using software-controlled execution schemes that consider both the programming model and the power-aware execution capabilities of the system. However, such approaches have focused on identifying optimal resource utilization for one programming model, either shared-memory or message-passing, in isolation. The potential solution space, thus the challenge, increases substantially when optimizing hybrid models since the possible resource configurations increase exponentially. Nonetheless, with the accelerating adoptionmore » of hybrid programming models, we increasingly need improved energy efficiency in hybrid parallel applications on large-scale systems. In this work, we present new software-controlled execution schemes that consider the effects of dynamic concurrency throttling (DCT) and dynamic voltage and frequency scaling (DVFS) in the context of hybrid programming models. Specifically, we present predictive models and novel algorithms based on statistical analysis that anticipate application power and time requirements under different concurrency and frequency configurations. We apply our models and methods to the NPB MZ benchmarks and selected applications from the ASC Sequoia codes. Overall, we achieve substantial energy savings (8.74% on average and up to 13.8%) with some performance gain (up to 7.5%) or negligible performance loss.« less

Perceived collective burnout: a multilevel explanation of burnout.

PubMed

González-Morales, M Gloria; Peiró, José M; Rodríguez, Isabel; Bliese, Paul D

2012-01-01

Building up on the socially induced model of burnout and the job demands-resources model, we examine how burnout can transfer without direct contagion or close contact among employees. Based on the social information processing approach and the conservation of resources theory, we propose that perceived collective burnout emerges as an organizational-level construct (employees' shared perceptions about how burned out are their colleagues) and that it predicts individual burnout over and above indicators of demands and resources. Data were gathered during the first term and again during the last term of the academic year among 555 teachers from 100 schools. The core dimensions of burnout, exhaustion, and cynicism were measured at the individual and collective level. Random coefficient models were computed in a lagged effects design. Results showed that perceived collective burnout at Time 1 was a significant predictor of burnout at Time 2 after considering previous levels of burnout, demands (workload, teacher-student ratio, and absenteeism rates), and resources (quality of school facilities). These findings suggest that perceived collective burnout is an important characteristic of the work environment that can be a significant factor in the development of burnout.

Learning about water resource sharing through game play

NASA Astrophysics Data System (ADS)

Ewen, Tracy; Seibert, Jan

2016-10-01

Games are an optimal way to teach about water resource sharing, as they allow real-world scenarios to be enacted. Both students and professionals learning about water resource management can benefit from playing games, through the process of understanding both the complexity of sharing of resources between different groups and decision outcomes. Here we address how games can be used to teach about water resource sharing, through both playing and developing water games. An evaluation of using the web-based game Irrigania in the classroom setting, supported by feedback from several educators who have used Irrigania to teach about the sustainable use of water resources, and decision making, at university and high school levels, finds Irrigania to be an effective and easy tool to incorporate into a curriculum. The development of two water games in a course for masters students in geography is also presented as a way to teach and communicate about water resource sharing. Through game development, students learned soft skills, including critical thinking, problem solving, team work, and time management, and overall the process was found to be an effective way to learn about water resource decision outcomes. This paper concludes with a discussion of learning outcomes from both playing and developing water games.

Dynamic Collaboration Infrastructure for Hydrologic Science

NASA Astrophysics Data System (ADS)

Tarboton, D. G.; Idaszak, R.; Castillo, C.; Yi, H.; Jiang, F.; Jones, N.; Goodall, J. L.

2016-12-01

Data and modeling infrastructure is becoming increasingly accessible to water scientists. HydroShare is a collaborative environment that currently offers water scientists the ability to access modeling and data infrastructure in support of data intensive modeling and analysis. It supports the sharing of and collaboration around "resources" which are social objects defined to include both data and models in a structured standardized format. Users collaborate around these objects via comments, ratings, and groups. HydroShare also supports web services and cloud based computation for the execution of hydrologic models and analysis and visualization of hydrologic data. However, the quantity and variety of data and modeling infrastructure available that can be accessed from environments like HydroShare is increasing. Storage infrastructure can range from one's local PC to campus or organizational storage to storage in the cloud. Modeling or computing infrastructure can range from one's desktop to departmental clusters to national HPC resources to grid and cloud computing resources. How does one orchestrate this vast number of data and computing infrastructure without needing to correspondingly learn each new system? A common limitation across these systems is the lack of efficient integration between data transport mechanisms and the corresponding high-level services to support large distributed data and compute operations. A scientist running a hydrology model from their desktop may require processing a large collection of files across the aforementioned storage and compute resources and various national databases. To address these community challenges a proof-of-concept prototype was created integrating HydroShare with RADII (Resource Aware Data-centric collaboration Infrastructure) to provide software infrastructure to enable the comprehensive and rapid dynamic deployment of what we refer to as "collaborative infrastructure." In this presentation we discuss the results of this proof-of-concept prototype which enabled HydroShare users to readily instantiate virtual infrastructure marshaling arbitrary combinations, varieties, and quantities of distributed data and computing infrastructure in addressing big problems in hydrology.

An Inter-Personal Information Sharing Model Based on Personalized Recommendations

NASA Astrophysics Data System (ADS)

Kamei, Koji; Funakoshi, Kaname; Akahani, Jun-Ichi; Satoh, Tetsuji

In this paper, we propose an inter-personal information sharing model among individuals based on personalized recommendations. In the proposed model, we define an information resource as shared between people when both of them consider it important --- not merely when they both possess it. In other words, the model defines the importance of information resources based on personalized recommendations from identifiable acquaintances. The proposed method is based on a collaborative filtering system that focuses on evaluations from identifiable acquaintances. It utilizes both user evaluations for documents and their contents. In other words, each user profile is represented as a matrix of credibility to the other users' evaluations on each domain of interests. We extended the content-based collaborative filtering method to distinguish other users to whom the documents should be recommended. We also applied a concept-based vector space model to represent the domain of interests instead of the previous method which represented them by a term-based vector space model. We introduce a personalized concept-base compiled from each user's information repository to improve the information retrieval in the user's environment. Furthermore, the concept-spaces change from user to user since they reflect the personalities of the users. Because of different concept-spaces, the similarity between a document and a user's interest varies for each user. As a result, a user receives recommendations from other users who have different view points, achieving inter-personal information sharing based on personalized recommendations. This paper also describes an experimental simulation of our information sharing model. In our laboratory, five participants accumulated a personal repository of e-mails and web pages from which they built their own concept-base. Then we estimated the user profiles according to personalized concept-bases and sets of documents which others evaluated. We simulated inter-personal recommendation based on the user profiles and evaluated the performance of the recommendation method by comparing the recommended documents to the result of the content-based collaborative filtering.

Cross-Jurisdictional Resource Sharing in Local Health Departments: Implications for Services, Quality, and Cost.

PubMed

Humphries, Debbie L; Hyde, Justeen; Hahn, Ethan; Atherly, Adam; O'Keefe, Elaine; Wilkinson, Geoffrey; Eckhouse, Seth; Huleatt, Steve; Wong, Samuel; Kertanis, Jennifer

2018-01-01

Forty one percent of local health departments in the U.S. serve jurisdictions with populations of 25,000 or less. Researchers, policymakers, and advocates have long questioned how to strengthen public health systems in smaller municipalities. Cross-jurisdictional sharing may increase quality of service, access to resources, and efficiency of resource use. To characterize perceived strengths and challenges of independent and comprehensive sharing approaches, and to assess cost, quality, and breadth of services provided by independent and sharing health departments in Connecticut (CT) and Massachusetts (MA). We interviewed local health directors or their designees from 15 comprehensive resource-sharing jurisdictions and 54 single-municipality jurisdictions in CT and MA using a semi-structured interview. Quantitative data were drawn from closed-ended questions in the semi-structured interviews; municipal demographic data were drawn from the American Community Survey and other public sources. Qualitative data were drawn from open-ended questions in the semi-structured interviews. The findings from this multistate study highlight advantages and disadvantages of two common public health service delivery models - independent and shared. Shared service jurisdictions provided more community health programs and services, and invested significantly more ($120 per thousand (1K) population vs. $69.5/1K population) on healthy food access activities. Sharing departments had more indicators of higher quality food safety inspections (FSIs), and there was a non-linear relationship between cost per FSI and number of FSI. Minimum cost per FSI was reached above the total number of FSI conducted by all but four of the jurisdictions sampled. Independent jurisdictions perceived their governing bodies to have greater understanding of the roles and responsibilities of local public health, while shared service jurisdictions had fewer staff per 1,000 population. There are trade-offs with sharing and remaining independent. Independent health departments serving small jurisdictions have limited resources but strong local knowledge. Multi-municipality departments have more resources but require more time and investment in governance and decision-making. When making decisions about the right service delivery model for a given municipality, careful consideration should be given to local culture and values. Some economies of scale may be achieved through resource sharing for municipalities <25,000 population.

The Resource Usage Aware Backfilling

NASA Astrophysics Data System (ADS)

Guim, Francesc; Rodero, Ivan; Corbalan, Julita

Job scheduling policies for HPC centers have been extensively studied in the last few years, especially backfilling based policies. Almost all of these studies have been done using simulation tools. All the existent simulators use the runtime (either estimated or real) provided in the workload as a basis of their simulations. In our previous work we analyzed the impact on system performance of considering the resource sharing (memory bandwidth) of running jobs including a new resource model in the Alvio simulator. Based on this studies we proposed the LessConsume and LessConsume Threshold resource selection policies. Both are oriented to reduce the saturation of the shared resources thus increasing the performance of the system. The results showed how both resource allocation policies shown how the performance of the system can be improved by considering where the jobs are finally allocated.

Prediction-based dynamic load-sharing heuristics

NASA Technical Reports Server (NTRS)

Goswami, Kumar K.; Devarakonda, Murthy; Iyer, Ravishankar K.

1993-01-01

The authors present dynamic load-sharing heuristics that use predicted resource requirements of processes to manage workloads in a distributed system. A previously developed statistical pattern-recognition method is employed for resource prediction. While nonprediction-based heuristics depend on a rapidly changing system status, the new heuristics depend on slowly changing program resource usage patterns. Furthermore, prediction-based heuristics can be more effective since they use future requirements rather than just the current system state. Four prediction-based heuristics, two centralized and two distributed, are presented. Using trace driven simulations, they are compared against random scheduling and two effective nonprediction based heuristics. Results show that the prediction-based centralized heuristics achieve up to 30 percent better response times than the nonprediction centralized heuristic, and that the prediction-based distributed heuristics achieve up to 50 percent improvements relative to their nonprediction counterpart.

Crowd-Funding: A New Resource Cooperation Mode for Mobile Cloud Computing.

PubMed

Zhang, Nan; Yang, Xiaolong; Zhang, Min; Sun, Yan

2016-01-01

Mobile cloud computing, which integrates the cloud computing techniques into the mobile environment, is regarded as one of the enabler technologies for 5G mobile wireless networks. There are many sporadic spare resources distributed within various devices in the networks, which can be used to support mobile cloud applications. However, these devices, with only a few spare resources, cannot support some resource-intensive mobile applications alone. If some of them cooperate with each other and share their resources, then they can support many applications. In this paper, we propose a resource cooperative provision mode referred to as "Crowd-funding", which is designed to aggregate the distributed devices together as the resource provider of mobile applications. Moreover, to facilitate high-efficiency resource management via dynamic resource allocation, different resource providers should be selected to form a stable resource coalition for different requirements. Thus, considering different requirements, we propose two different resource aggregation models for coalition formation. Finally, we may allocate the revenues based on their attributions according to the concept of the "Shapley value" to enable a more impartial revenue share among the cooperators. It is shown that a dynamic and flexible resource-management method can be developed based on the proposed Crowd-funding model, relying on the spare resources in the network.

Crowd-Funding: A New Resource Cooperation Mode for Mobile Cloud Computing

PubMed Central

Zhang, Min; Sun, Yan

2016-01-01

Mobile cloud computing, which integrates the cloud computing techniques into the mobile environment, is regarded as one of the enabler technologies for 5G mobile wireless networks. There are many sporadic spare resources distributed within various devices in the networks, which can be used to support mobile cloud applications. However, these devices, with only a few spare resources, cannot support some resource-intensive mobile applications alone. If some of them cooperate with each other and share their resources, then they can support many applications. In this paper, we propose a resource cooperative provision mode referred to as "Crowd-funding", which is designed to aggregate the distributed devices together as the resource provider of mobile applications. Moreover, to facilitate high-efficiency resource management via dynamic resource allocation, different resource providers should be selected to form a stable resource coalition for different requirements. Thus, considering different requirements, we propose two different resource aggregation models for coalition formation. Finally, we may allocate the revenues based on their attributions according to the concept of the "Shapley value" to enable a more impartial revenue share among the cooperators. It is shown that a dynamic and flexible resource-management method can be developed based on the proposed Crowd-funding model, relying on the spare resources in the network. PMID:28030553

To speak or not to speak - A multiple resource perspective

NASA Technical Reports Server (NTRS)

Tsang, P. S.; Hartzell, E. J.; Rothschild, R. A.

1985-01-01

The desirability of employing speech response in a dynamic dual task situation was discussed from a multiple resource perspective. A secondary task technique was employed to examine the time-sharing performance of five dual tasks with various degrees of resource overlap according to the structure-specific resource model of Wickens (1980). The primary task was a visual/manual tracking task which required spatial processing. The secondary task was either another tracking task or a spatial transformation task with one of four input (visual or auditory) and output (manual or speech) configurations. The results show that the dual task performance was best when the primary tracking task was paired with the visual/speech transformation task. This finding was explained by an interaction of the stimulus-central processing-response compatibility of the transformation task and the degree of resource competition between the time-shared tasks. Implications on the utility of speech response were discussed.

SEEK: a systems biology data and model management platform.

PubMed

Wolstencroft, Katherine; Owen, Stuart; Krebs, Olga; Nguyen, Quyen; Stanford, Natalie J; Golebiewski, Martin; Weidemann, Andreas; Bittkowski, Meik; An, Lihua; Shockley, David; Snoep, Jacky L; Mueller, Wolfgang; Goble, Carole

2015-07-11

Systems biology research typically involves the integration and analysis of heterogeneous data types in order to model and predict biological processes. Researchers therefore require tools and resources to facilitate the sharing and integration of data, and for linking of data to systems biology models. There are a large number of public repositories for storing biological data of a particular type, for example transcriptomics or proteomics, and there are several model repositories. However, this silo-type storage of data and models is not conducive to systems biology investigations. Interdependencies between multiple omics datasets and between datasets and models are essential. Researchers require an environment that will allow the management and sharing of heterogeneous data and models in the context of the experiments which created them. The SEEK is a suite of tools to support the management, sharing and exploration of data and models in systems biology. The SEEK platform provides an access-controlled, web-based environment for scientists to share and exchange data and models for day-to-day collaboration and for public dissemination. A plug-in architecture allows the linking of experiments, their protocols, data, models and results in a configurable system that is available 'off the shelf'. Tools to run model simulations, plot experimental data and assist with data annotation and standardisation combine to produce a collection of resources that support analysis as well as sharing. Underlying semantic web resources additionally extract and serve SEEK metadata in RDF (Resource Description Format). SEEK RDF enables rich semantic queries, both within SEEK and between related resources in the web of Linked Open Data. The SEEK platform has been adopted by many systems biology consortia across Europe. It is a data management environment that has a low barrier of uptake and provides rich resources for collaboration. This paper provides an update on the functions and features of the SEEK software, and describes the use of the SEEK in the SysMO consortium (Systems biology for Micro-organisms), and the VLN (virtual Liver Network), two large systems biology initiatives with different research aims and different scientific communities.

National Fusion Collaboratory: Grid Computing for Simulations and Experiments

NASA Astrophysics Data System (ADS)

Greenwald, Martin

2004-05-01

The National Fusion Collaboratory Project is creating a computational grid designed to advance scientific understanding and innovation in magnetic fusion research by facilitating collaborations, enabling more effective integration of experiments, theory and modeling and allowing more efficient use of experimental facilities. The philosophy of FusionGrid is that data, codes, analysis routines, visualization tools, and communication tools should be thought of as network available services, easily used by the fusion scientist. In such an environment, access to services is stressed rather than portability. By building on a foundation of established computer science toolkits, deployment time can be minimized. These services all share the same basic infrastructure that allows for secure authentication and resource authorization which allows stakeholders to control their own resources such as computers, data and experiments. Code developers can control intellectual property, and fair use of shared resources can be demonstrated and controlled. A key goal is to shield scientific users from the implementation details such that transparency and ease-of-use are maximized. The first FusionGrid service deployed was the TRANSP code, a widely used tool for transport analysis. Tools for run preparation, submission, monitoring and management have been developed and shared among a wide user base. This approach saves user sites from the laborious effort of maintaining such a large and complex code while at the same time reducing the burden on the development team by avoiding the need to support a large number of heterogeneous installations. Shared visualization and A/V tools are being developed and deployed to enhance long-distance collaborations. These include desktop versions of the Access Grid, a highly capable multi-point remote conferencing tool and capabilities for sharing displays and analysis tools over local and wide-area networks.

Distributed geospatial model sharing based on open interoperability standards

USGS Publications Warehouse

Feng, Min; Liu, Shuguang; Euliss, Ned H.; Fang, Yin

2009-01-01

Numerous geospatial computational models have been developed based on sound principles and published in journals or presented in conferences. However modelers have made few advances in the development of computable modules that facilitate sharing during model development or utilization. Constraints hampering development of model sharing technology includes limitations on computing, storage, and connectivity; traditional stand-alone and closed network systems cannot fully support sharing and integrating geospatial models. To address this need, we have identified methods for sharing geospatial computational models using Service Oriented Architecture (SOA) techniques and open geospatial standards. The service-oriented model sharing service is accessible using any tools or systems compliant with open geospatial standards, making it possible to utilize vast scientific resources available from around the world to solve highly sophisticated application problems. The methods also allow model services to be empowered by diverse computational devices and technologies, such as portable devices and GRID computing infrastructures. Based on the generic and abstract operations and data structures required for Web Processing Service (WPS) standards, we developed an interactive interface for model sharing to help reduce interoperability problems for model use. Geospatial computational models are shared on model services, where the computational processes provided by models can be accessed through tools and systems compliant with WPS. We developed a platform to help modelers publish individual models in a simplified and efficient way. Finally, we illustrate our technique using wetland hydrological models we developed for the prairie pothole region of North America.

Revenue-sharing clubs provide economic insurance and incentives for sustainability in common-pool resource systems.

PubMed

Tilman, Andrew R; Levin, Simon; Watson, James R

2018-06-05

Harvesting behaviors of natural resource users, such as farmers, fishermen and aquaculturists, are shaped by season-to-season and day-to-day variability, or in other words risk. Here, we explore how risk-mitigation strategies can lead to sustainable use and improved management of common-pool natural resources. Over-exploitation of unmanaged natural resources, which lowers their long-term productivity, is a central challenge facing societies. While effective top-down management is a possible solution, it is not available if the resource is outside the jurisdictional bounds of any management entity, or if existing institutions cannot effectively impose sustainable-use rules. Under these conditions, alternative approaches to natural resource governance are required. Here, we study revenue-sharing clubs as a mechanism by which resource users can mitigate their income volatility and importantly, as a co-benefit, are also incentivized to reduce their effort, leading to reduced over-exploitation and improved resource governance. We use game theoretic analyses and agent-based modeling to determine the conditions in which revenue-sharing can be beneficial for resource management as well as resource users. We find that revenue-sharing agreements can emerge and lead to improvements in resource management when there is large variability in production/revenue and when this variability is uncorrelated across members of the revenue-sharing club. Further, we show that if members of the revenue-sharing collective can sell their product at a price premium, then the range of ecological and economic conditions under which revenue-sharing can be a tool for management greatly expands. These results have implications for the design of bottom-up management, where resource users themselves are incentivized to operate in ecologically sustainable and economically advantageous ways. Copyright © 2018 Elsevier Ltd. All rights reserved.

Optimizing the resource usage in Cloud based environments: the Synergy approach

NASA Astrophysics Data System (ADS)

Zangrando, L.; Llorens, V.; Sgaravatto, M.; Verlato, M.

2017-10-01

Managing resource allocation in a cloud based data centre serving multiple virtual organizations is a challenging issue. In fact, while batch systems are able to allocate resources to different user groups according to specific shares imposed by the data centre administrator, without a static partitioning of such resources, this is not so straightforward in the most common cloud frameworks, e.g. OpenStack. In the current OpenStack implementation, it is only possible to grant fixed quotas to the different user groups and these resources cannot be exceeded by one group even if there are unused resources allocated to other groups. Moreover in the existing OpenStack implementation, when there aren’t resources available, new requests are simply rejected: it is then up to the client to later re-issue the request. The recently started EU-funded INDIGO-DataCloud project is addressing this issue through “Synergy”, a new advanced scheduling service targeted for OpenStack. Synergy adopts a fair-share model for resource provisioning which guarantees that resources are distributed among users following the fair-share policies defined by the administrator, taken also into account the past usage of such resources. We present the architecture of Synergy, the status of its implementation, some preliminary results and the foreseen evolution of the service.

Managing a Common Pool Resource: Real Time Decision-Making in a Groundwater Aquifer

NASA Astrophysics Data System (ADS)

Sahu, R.; McLaughlin, D.

2017-12-01

In a Common Pool Resource (CPR) such as a groundwater aquifer, multiple landowners (agents) are competing for a limited resource of water. Landowners pump out the water to grow their own crops. Such problems can be posed as differential games, with agents all trying to control the behavior of the shared dynamic system. Each agent aims to maximize his/her own personal objective like agriculture yield, being aware that the action of every other agent collectively influences the behavior of the shared aquifer. The agents therefore choose a subgame perfect Nash equilibrium strategy that derives an optimal action for each agent based on the current state of the aquifer and assumes perfect information of every other agents' objective function. Furthermore, using an Iterated Best Response approach and interpolating techniques, an optimal pumping strategy can be computed for a more-realistic description of the groundwater model under certain assumptions. The numerical implementation of dynamic optimization techniques for a relevant description of the physical system yields results qualitatively different from the previous solutions obtained from simple abstractions.This work aims to bridge the gap between extensive modeling approaches in hydrology and competitive solution strategies in differential game theory.

The Open Learning Object Model to Promote Open Educational Resources

ERIC Educational Resources Information Center

Fulantelli, Giovanni; Gentile, Manuel; Taibi, Davide; Allegra, Mario

2008-01-01

In this paper we present the results of research work, that forms part of the activities of the EU-funded project SLOOP: Sharing Learning Objects in an Open Perspective, aimed at encouraging the definition, development and management of Open Educational Resources based on the Learning Object paradigm (Wiley, 2000). We present a model of Open…

Perspectives on Sharing Models and Related Resources in Computational Biomechanics Research.

PubMed

Erdemir, Ahmet; Hunter, Peter J; Holzapfel, Gerhard A; Loew, Leslie M; Middleton, John; Jacobs, Christopher R; Nithiarasu, Perumal; Löhner, Rainlad; Wei, Guowei; Winkelstein, Beth A; Barocas, Victor H; Guilak, Farshid; Ku, Joy P; Hicks, Jennifer L; Delp, Scott L; Sacks, Michael; Weiss, Jeffrey A; Ateshian, Gerard A; Maas, Steve A; McCulloch, Andrew D; Peng, Grace C Y

2018-02-01

The role of computational modeling for biomechanics research and related clinical care will be increasingly prominent. The biomechanics community has been developing computational models routinely for exploration of the mechanics and mechanobiology of diverse biological structures. As a result, a large array of models, data, and discipline-specific simulation software has emerged to support endeavors in computational biomechanics. Sharing computational models and related data and simulation software has first become a utilitarian interest, and now, it is a necessity. Exchange of models, in support of knowledge exchange provided by scholarly publishing, has important implications. Specifically, model sharing can facilitate assessment of reproducibility in computational biomechanics and can provide an opportunity for repurposing and reuse, and a venue for medical training. The community's desire to investigate biological and biomechanical phenomena crossing multiple systems, scales, and physical domains, also motivates sharing of modeling resources as blending of models developed by domain experts will be a required step for comprehensive simulation studies as well as the enhancement of their rigor and reproducibility. The goal of this paper is to understand current perspectives in the biomechanics community for the sharing of computational models and related resources. Opinions on opportunities, challenges, and pathways to model sharing, particularly as part of the scholarly publishing workflow, were sought. A group of journal editors and a handful of investigators active in computational biomechanics were approached to collect short opinion pieces as a part of a larger effort of the IEEE EMBS Computational Biology and the Physiome Technical Committee to address model reproducibility through publications. A synthesis of these opinion pieces indicates that the community recognizes the necessity and usefulness of model sharing. There is a strong will to facilitate model sharing, and there are corresponding initiatives by the scientific journals. Outside the publishing enterprise, infrastructure to facilitate model sharing in biomechanics exists, and simulation software developers are interested in accommodating the community's needs for sharing of modeling resources. Encouragement for the use of standardized markups, concerns related to quality assurance, acknowledgement of increased burden, and importance of stewardship of resources are noted. In the short-term, it is advisable that the community builds upon recent strategies and experiments with new pathways for continued demonstration of model sharing, its promotion, and its utility. Nonetheless, the need for a long-term strategy to unify approaches in sharing computational models and related resources is acknowledged. Development of a sustainable platform supported by a culture of open model sharing will likely evolve through continued and inclusive discussions bringing all stakeholders at the table, e.g., by possibly establishing a consortium.

Developing a Cloud-Based Online Geospatial Information Sharing and Geoprocessing Platform to Facilitate Collaborative Education and Research

NASA Astrophysics Data System (ADS)

Yang, Z. L.; Cao, J.; Hu, K.; Gui, Z. P.; Wu, H. Y.; You, L.

2016-06-01

Efficient online discovering and applying geospatial information resources (GIRs) is critical in Earth Science domain as while for cross-disciplinary applications. However, to achieve it is challenging due to the heterogeneity, complexity and privacy of online GIRs. In this article, GeoSquare, a collaborative online geospatial information sharing and geoprocessing platform, was developed to tackle this problem. Specifically, (1) GIRs registration and multi-view query functions allow users to publish and discover GIRs more effectively. (2) Online geoprocessing and real-time execution status checking help users process data and conduct analysis without pre-installation of cumbersome professional tools on their own machines. (3) A service chain orchestration function enables domain experts to contribute and share their domain knowledge with community members through workflow modeling. (4) User inventory management allows registered users to collect and manage their own GIRs, monitor their execution status, and track their own geoprocessing histories. Besides, to enhance the flexibility and capacity of GeoSquare, distributed storage and cloud computing technologies are employed. To support interactive teaching and training, GeoSquare adopts the rich internet application (RIA) technology to create user-friendly graphical user interface (GUI). Results show that GeoSquare can integrate and foster collaboration between dispersed GIRs, computing resources and people. Subsequently, educators and researchers can share and exchange resources in an efficient and harmonious way.

Evaluating a scalable model for implementing electronic health records in resource-limited settings.

PubMed

Were, Martin C; Emenyonu, Nneka; Achieng, Marion; Shen, Changyu; Ssali, John; Masaba, John P M; Tierney, William M

2010-01-01

Current models for implementing electronic health records (EHRs) in resource-limited settings may not be scalable because they fail to address human-resource and cost constraints. This paper describes an implementation model which relies on shared responsibility between local sites and an external three-pronged support infrastructure consisting of: (1) a national technical expertise center, (2) an implementer's community, and (3) a developer's community. This model was used to implement an open-source EHR in three Ugandan HIV-clinics. Pre-post time-motion study at one site revealed that Primary Care Providers spent a third less time in direct and indirect care of patients (p<0.001) and 40% more time on personal activities (p=0.09) after EHRs implementation. Time spent by previously enrolled patients with non-clinician staff fell by half (p=0.004) and with pharmacy by 63% (p<0.001). Surveyed providers were highly satisfied with the EHRs and its support infrastructure. This model offers a viable approach for broadly implementing EHRs in resource-limited settings.

Decision support for hospital bed management using adaptable individual length of stay estimations and shared resources.

PubMed

Schmidt, Robert; Geisler, Sandra; Spreckelsen, Cord

2013-01-07

Elective patient admission and assignment planning is an important task of the strategic and operational management of a hospital and early on became a central topic of clinical operations research. The management of hospital beds is an important subtask. Various approaches have been proposed, involving the computation of efficient assignments with regard to the patients' condition, the necessity of the treatment, and the patients' preferences. However, these approaches are mostly based on static, unadaptable estimates of the length of stay and, thus, do not take into account the uncertainty of the patient's recovery. Furthermore, the effect of aggregated bed capacities have not been investigated in this context. Computer supported bed management, combining an adaptable length of stay estimation with the treatment of shared resources (aggregated bed capacities) has not yet been sufficiently investigated. The aim of our work is: 1) to define a cost function for patient admission taking into account adaptable length of stay estimations and aggregated resources, 2) to define a mathematical program formally modeling the assignment problem and an architecture for decision support, 3) to investigate four algorithmic methodologies addressing the assignment problem and one base-line approach, and 4) to evaluate these methodologies w.r.t. cost outcome, performance, and dismissal ratio. The expected free ward capacity is calculated based on individual length of stay estimates, introducing Bernoulli distributed random variables for the ward occupation states and approximating the probability densities. The assignment problem is represented as a binary integer program. Four strategies for solving the problem are applied and compared: an exact approach, using the mixed integer programming solver SCIP; and three heuristic strategies, namely the longest expected processing time, the shortest expected processing time, and random choice. A baseline approach serves to compare these optimization strategies with a simple model of the status quo. All the approaches are evaluated by a realistic discrete event simulation: the outcomes are the ratio of successful assignments and dismissals, the computation time, and the model's cost factors. A discrete event simulation of 226,000 cases shows a reduction of the dismissal rate compared to the baseline by more than 30 percentage points (from a mean dismissal ratio of 74.7% to 40.06% comparing the status quo with the optimization strategies). Each of the optimization strategies leads to an improved assignment. The exact approach has only a marginal advantage over the heuristic strategies in the model's cost factors (≤3%). Moreover,this marginal advantage was only achieved at the price of a computational time fifty times that of the heuristic models (an average computing time of 141 s using the exact method, vs. 2.6 s for the heuristic strategy). In terms of its performance and the quality of its solution, the heuristic strategy RAND is the preferred method for bed assignment in the case of shared resources. Future research is needed to investigate whether an equally marked improvement can be achieved in a large scale clinical application study, ideally one comprising all the departments involved in admission and assignment planning.

Reviewing innovative Earth observation solutions for filling science-policy gaps in hydrology

NASA Astrophysics Data System (ADS)

Lehmann, Anthony; Giuliani, Gregory; Ray, Nicolas; Rahman, Kazi; Abbaspour, Karim C.; Nativi, Stefano; Craglia, Massimo; Cripe, Douglas; Quevauviller, Philippe; Beniston, Martin

2014-10-01

Improved data sharing is needed for hydrological modeling and water management that require better integration of data, information and models. Technological advances in Earth observation and Web technologies have allowed the development of Spatial Data Infrastructures (SDIs) for improved data sharing at various scales. International initiatives catalyze data sharing by promoting interoperability standards to maximize the use of data and by supporting easy access to and utilization of geospatial data. A series of recent European projects are contributing to the promotion of innovative Earth observation solutions and the uptake of scientific outcomes in policy. Several success stories involving different hydrologists' communities can be reported around the World. Gaps still exist in hydrological, agricultural, meteorological and climatological data access because of various issues. While many sources of data exists at all scales it remains difficult and time-consuming to assemble hydrological information for most projects. Furthermore, data and sharing formats remain very heterogeneous. Improvements require implementing/endorsing some commonly agreed standards and documenting data with adequate metadata. The brokering approach allows binding heterogeneous resources published by different data providers and adapting them to tools and interfaces commonly used by consumers of these resources. The challenge is to provide decision-makers with reliable information, based on integrated data and tools derived from both Earth observations and scientific models. Successful SDIs rely therefore on various aspects: a shared vision between all participants, necessity to solve a common problem, adequate data policies, incentives, and sufficient resources. New data streams from remote sensing or crowd sourcing are also producing valuable information to improve our understanding of the water cycle, while field sensors are developing rapidly and becoming less costly. More recent data standards are enhancing interoperability between hydrology and other scientific disciplines, while solutions exist to communicate uncertainty of data and models, which is an essential pre-requisite for decision-making. Distributed computing infrastructures can handle complex and large hydrological data and models, while Web Processing Services bring the flexibility to develop and execute simple to complex workflows over the Internet. The need for capacity building at human, infrastructure and institutional levels is also a major driver for reinforcing the commitment to SDI concepts.

UCMP and the Internet help hospital libraries share resources.

PubMed

Dempsey, R; Weinstein, L

1999-07-01

The Medical Library Center of New York (MLCNY), a medical library consortium founded in 1959, has specialized in supporting resource sharing and fostering technological advances. In 1961, MLCNY developed and continues to maintain the Union Catalog of Medical Periodicals (UCMP), a resource tool including detailed data about the collections of more than 720 medical library participants. UCMP was one of the first library tools to capitalize on the benefits of computer technology and, from the beginning, invited hospital libraries to play a substantial role in its development. UCMP, beginning with products in print and later in microfiche, helped to create a new resource sharing environment. Today, UCMP continues to capitalize on new technology by providing access via the Internet and an Oracle-based search system providing subscribers with the benefits of: a database that contains serial holdings information on an issue specific level, a database that can be updated in real time, a system that provides multi-type searching and allows users to define how the results will be sorted, and an ordering function that can more precisely target libraries that have a specific issue of a medical journal. Current development of a Web-based system will ensure that UCMP continues to provide cost effective and efficient resource sharing in future years.

UCMP and the Internet help hospital libraries share resources.

PubMed Central

Dempsey, R; Weinstein, L

1999-01-01

The Medical Library Center of New York (MLCNY), a medical library consortium founded in 1959, has specialized in supporting resource sharing and fostering technological advances. In 1961, MLCNY developed and continues to maintain the Union Catalog of Medical Periodicals (UCMP), a resource tool including detailed data about the collections of more than 720 medical library participants. UCMP was one of the first library tools to capitalize on the benefits of computer technology and, from the beginning, invited hospital libraries to play a substantial role in its development. UCMP, beginning with products in print and later in microfiche, helped to create a new resource sharing environment. Today, UCMP continues to capitalize on new technology by providing access via the Internet and an Oracle-based search system providing subscribers with the benefits of: a database that contains serial holdings information on an issue specific level, a database that can be updated in real time, a system that provides multi-type searching and allows users to define how the results will be sorted, and an ordering function that can more precisely target libraries that have a specific issue of a medical journal. Current development of a Web-based system will ensure that UCMP continues to provide cost effective and efficient resource sharing in future years. PMID:10427426

Efficient Access to Massive Amounts of Tape-Resident Data

NASA Astrophysics Data System (ADS)

Yu, David; Lauret, Jérôme

2017-10-01

Randomly restoring files from tapes degrades the read performance primarily due to frequent tape mounts. The high latency and time-consuming tape mount and dismount is a major issue when accessing massive amounts of data from tape storage. BNL’s mass storage system currently holds more than 80 PB of data on tapes, managed by HPSS. To restore files from HPSS, we make use of a scheduler software, called ERADAT. This scheduler system was originally based on code from Oak Ridge National Lab, developed in the early 2000s. After some major modifications and enhancements, ERADAT now provides advanced HPSS resource management, priority queuing, resource sharing, web-browser visibility of real-time staging activities and advanced real-time statistics and graphs. ERADAT is also integrated with ACSLS and HPSS for near real-time mount statistics and resource control in HPSS. ERADAT is also the interface between HPSS and other applications such as the locally developed Data Carousel, providing fair resource-sharing policies and related capabilities. ERADAT has demonstrated great performance at BNL.

Sharing e-Learning Experiences: A Personalised Approach

NASA Astrophysics Data System (ADS)

Clematis, Andrea; Forcheri, Paola; Ierardi, Maria Grazia; Quarati, Alfonso

A two-tier architecture is presented, based on hybrid peer-to-peer technology, aimed at providing personalized access to heterogeneous learning sources. The architecture deploys a conceptual model that is superimposed over logically and physically separated repositories. The model is based on the interactions between users and learning resources, described by means of coments. To support users to find out material satisfying their needs, mechanisms for ranking resources and for extracting personalized views of the learning space are provided.

Speech recognition in advanced rotorcraft - Using speech controls to reduce manual control overload

NASA Technical Reports Server (NTRS)

Vidulich, Michael A.; Bortolussi, Michael R.

1988-01-01

An experiment has been conducted to ascertain the usefulness of helicopter pilot speech controls and their effect on time-sharing performance, under the impetus of multiple-resource theories of attention which predict that time-sharing should be more efficient with mixed manual and speech controls than with all-manual ones. The test simulation involved an advanced, single-pilot scout/attack helicopter. Performance and subjective workload levels obtained supported the claimed utility of speech recognition-based controls; specifically, time-sharing performance was improved while preparing a data-burst transmission of information during helicopter hover.

Shared-resource computing for small research labs.

PubMed

Ackerman, M J

1982-04-01

A real time laboratory computer network is described. This network is composed of four real-time laboratory minicomputers located in each of four division laboratories and a larger minicomputer in a centrally located computer room. Off the shelf hardware and software were used with no customization. The network is configured for resource sharing using DECnet communications software and the RSX-11-M multi-user real-time operating system. The cost effectiveness of the shared resource network and multiple real-time processing using priority scheduling is discussed. Examples of utilization within a medical research department are given.

Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy.

PubMed

Cai, Yi; Li, Qing; Xie, Haoran; Min, Huaqin

2014-10-01

With the increase in resource-sharing websites such as YouTube and Flickr, many shared resources have arisen on the Web. Personalized searches have become more important and challenging since users demand higher retrieval quality. To achieve this goal, personalized searches need to take users' personalized profiles and information needs into consideration. Collaborative tagging (also known as folksonomy) systems allow users to annotate resources with their own tags, which provides a simple but powerful way for organizing, retrieving and sharing different types of social resources. In this article, we examine the limitations of previous tag-based personalized searches. To handle these limitations, we propose a new method to model user profiles and resource profiles in collaborative tagging systems. We use a normalized term frequency to indicate the preference degree of a user on a tag. A novel search method using such profiles of users and resources is proposed to facilitate the desired personalization in resource searches. In our framework, instead of the keyword matching or similarity measurement used in previous works, the relevance measurement between a resource and a user query (termed the query relevance) is treated as a fuzzy satisfaction problem of a user's query requirements. We implement a prototype system called the Folksonomy-based Multimedia Retrieval System (FMRS). Experiments using the FMRS data set and the MovieLens data set show that our proposed method outperforms baseline methods. Copyright © 2014 Elsevier Ltd. All rights reserved.

Sharing Ideas: Tough Times Encourage Colleges to Collaborate

ERIC Educational Resources Information Center

Fain, Paul; Blumenstyk, Goldie; Sander, Libby

2009-01-01

Tough times are encouraging colleges to share resources in a variety of areas, including campus security, research, and degree programs. Despite its veneer of cooperation, higher education is a competitive industry, where resource sharing is eyed warily. But the recession is chipping away at that reluctance, and institutions are pursuing…

The Relationship between Shared Mental Models and Task Performance in an Online Team- Based Learning Environment

ERIC Educational Resources Information Center

Johnson, Tristan E.; Lee, Youngmin

2008-01-01

In an effort to better understand learning teams, this study examines the effects of shared mental models on team and individual performance. The results indicate that each team's shared mental model changed significantly over the time that subjects participated in team-based learning activities. The results also showed that the shared mental…

Resource allocation in shared spectrum access communications for operators with diverse service requirements

NASA Astrophysics Data System (ADS)

Kibria, Mirza Golam; Villardi, Gabriel Porto; Ishizu, Kentaro; Kojima, Fumihide; Yano, Hiroyuki

2016-12-01

In this paper, we study inter-operator spectrum sharing and intra-operator resource allocation in shared spectrum access communication systems and propose efficient dynamic solutions to address both inter-operator and intra-operator resource allocation optimization problems. For inter-operator spectrum sharing, we present two competent approaches, namely the subcarrier gain-based sharing and fragmentation-based sharing, which carry out fair and flexible allocation of the available shareable spectrum among the operators subject to certain well-defined sharing rules, traffic demands, and channel propagation characteristics. The subcarrier gain-based spectrum sharing scheme has been found to be more efficient in terms of achieved throughput. However, the fragmentation-based sharing is more attractive in terms of computational complexity. For intra-operator resource allocation, we consider resource allocation problem with users' dissimilar service requirements, where the operator supports users with delay constraint and non-delay constraint service requirements, simultaneously. This optimization problem is a mixed-integer non-linear programming problem and non-convex, which is computationally very expensive, and the complexity grows exponentially with the number of integer variables. We propose less-complex and efficient suboptimal solution based on formulating exact linearization, linear approximation, and convexification techniques for the non-linear and/or non-convex objective functions and constraints. Extensive simulation performance analysis has been carried out that validates the efficiency of the proposed solution.

P-HS-SFM: a parallel harmony search algorithm for the reproduction of experimental data in the continuous microscopic crowd dynamic models

NASA Astrophysics Data System (ADS)

Jaber, Khalid Mohammad; Alia, Osama Moh'd.; Shuaib, Mohammed Mahmod

2018-03-01

Finding the optimal parameters that can reproduce experimental data (such as the velocity-density relation and the specific flow rate) is a very important component of the validation and calibration of microscopic crowd dynamic models. Heavy computational demand during parameter search is a known limitation that exists in a previously developed model known as the Harmony Search-Based Social Force Model (HS-SFM). In this paper, a parallel-based mechanism is proposed to reduce the computational time and memory resource utilisation required to find these parameters. More specifically, two MATLAB-based multicore techniques (parfor and create independent jobs) using shared memory are developed by taking advantage of the multithreading capabilities of parallel computing, resulting in a new framework called the Parallel Harmony Search-Based Social Force Model (P-HS-SFM). The experimental results show that the parfor-based P-HS-SFM achieved a better computational time of about 26 h, an efficiency improvement of ? 54% and a speedup factor of 2.196 times in comparison with the HS-SFM sequential processor. The performance of the P-HS-SFM using the create independent jobs approach is also comparable to parfor with a computational time of 26.8 h, an efficiency improvement of about 30% and a speedup of 2.137 times.

Estimating onset time from longitudinal and cross-sectional data with an application to estimating gestational age from longitudinal maternal anthropometry during pregnancy and neonatal anthropometry at birth.

PubMed

Ortega-Villa, Ana Maria; Grantz, Katherine L; Albert, Paul S

2018-06-01

Determining the date of conception is important for estimating gestational age and monitoring whether the fetus and mother are on track in their development and pregnancy. Various methods based on ultrasound have been proposed for dating a pregnancy in high resource countries. However, such techniques may not be available in under-resourced countries. We develop a shared random parameter model for estimating the date of conception using longitudinal assessment of multiple maternal anthropometry and cross-sectional neonatal anthropometry. The methodology is evaluated with a training-test set paradigm as well as with simulations to examine the robustness of the method to model misspecification. We illustrate this new methodology with data from the NICHD Fetal Growth Studies.

Sustainability in Health care by Allocating Resources Effectively (SHARE) 11: reporting outcomes of an evidence-driven approach to disinvestment in a local healthcare setting.

PubMed

Harris, Claire; Allen, Kelly; Ramsey, Wayne; King, Richard; Green, Sally

2018-05-30

This is the final paper in a thematic series reporting a program of Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. The SHARE Program was established to explore a systematic, integrated, evidence-based organisation-wide approach to disinvestment in a large Australian health service network. This paper summarises the findings, discusses the contribution of the SHARE Program to the body of knowledge and understanding of disinvestment in the local healthcare setting, and considers implications for policy, practice and research. The SHARE program was conducted in three phases. Phase One was undertaken to understand concepts and practices related to disinvestment and the implications for a local health service and, based on this information, to identify potential settings and methods for decision-making about disinvestment. The aim of Phase Two was to implement and evaluate the proposed methods to determine which were sustainable, effective and appropriate in a local health service. A review of the current literature incorporating the SHARE findings was conducted in Phase Three to contribute to the understanding of systematic approaches to disinvestment in the local healthcare context. SHARE differed from many other published examples of disinvestment in several ways: by seeking to identify and implement disinvestment opportunities within organisational infrastructure rather than as standalone projects; considering disinvestment in the context of all resource allocation decisions rather than in isolation; including allocation of non-monetary resources as well as financial decisions; and focusing on effective use of limited resources to optimise healthcare outcomes. The SHARE findings provide a rich source of new information about local health service decision-making, in a level of detail not previously reported, to inform others in similar situations. Multiple innovations related to disinvestment were found to be acceptable and feasible in the local setting. Factors influencing decision-making, implementation processes and final outcomes were identified; and methods for further exploration, or avoidance, in attempting disinvestment in this context are proposed based on these findings. The settings, frameworks, models, methods and tools arising from the SHARE findings have potential to enhance health care and patient outcomes.

Impulse response of a two-dimensional rough surface overlying an inhomogeneous, nondispersive medium: A hybrid model

NASA Astrophysics Data System (ADS)

Keiffer, Richard; Novarini, Jorge; Norton, Guy

2002-11-01

A numerical model to calculate the impulse response of a two-dimensional, impenetrable, rough surface directly in the time domain has been recently introduced [R. S. Keiffer and J. C. Novarini, J. Acoust. Soc. Am. 107, 27-39 (2000)]. This model is based on wedge diffraction theory and assumes the half-space containing the source and receiver is homogeneous. In this work, the model is extended to handle media where the index of refraction varies with depth by merging the scattering model with a ray-based propagation model. The resulting hybrid model is tested against a finite-difference time-domain (FDTD) method for backscattering from a corrugated surface in the presence of a refractive layer. This new model can be applied, for example, to calculate acoustic reverberation from the sea surface in cases where the water mass is inhomogeneous and dispersion is negligible. [Work supported by ONR/NRL (PE 61153N-32) and by grants of computer time DoD HPC Shared Resource Center at Stennis Space Center, MS.

The NIF DISCO Framework: facilitating automated integration of neuroscience content on the web.

PubMed

Marenco, Luis; Wang, Rixin; Shepherd, Gordon M; Miller, Perry L

2010-06-01

This paper describes the capabilities of DISCO, an extensible approach that supports integrative Web-based information dissemination. DISCO is a component of the Neuroscience Information Framework (NIF), an NIH Neuroscience Blueprint initiative that facilitates integrated access to diverse neuroscience resources via the Internet. DISCO facilitates the automated maintenance of several distinct capabilities using a collection of files 1) that are maintained locally by the developers of participating neuroscience resources and 2) that are "harvested" on a regular basis by a central DISCO server. This approach allows central NIF capabilities to be updated as each resource's content changes over time. DISCO currently supports the following capabilities: 1) resource descriptions, 2) "LinkOut" to a resource's data items from NCBI Entrez resources such as PubMed, 3) Web-based interoperation with a resource, 4) sharing a resource's lexicon and ontology, 5) sharing a resource's database schema, and 6) participation by the resource in neuroscience-related RSS news dissemination. The developers of a resource are free to choose which DISCO capabilities their resource will participate in. Although DISCO is used by NIF to facilitate neuroscience data integration, its capabilities have general applicability to other areas of research.

Continuous quality improvement: a shared governance model that maximizes agent-specific knowledge.

PubMed

Burkoski, Vanessa; Yoon, Jennifer

2013-01-01

Motivate, Innovate, Celebrate: an innovative shared governance model through the establishment of continuous quality improvement (CQI) councils was implemented across the London Health Sciences Centre (LHSC). The model leverages agent-specific knowledge at the point of care and provides a structure aimed at building human resources capacity and sustaining enhancements to quality and safe care delivery. Interprofessional and cross-functional teams work through the CQI councils to identify, formulate, execute and evaluate CQI initiatives. In addition to a structure that facilitates collaboration, accountability and ownership, a corporate CQI Steering Committee provides the forum for scaling up and spreading this model. Point-of-care staff, clinical management and educators were trained in LEAN methodology and patient experience-based design to ensure sufficient knowledge and resources to support the implementation.

Information and communication technology needs for distributed communication and coordination during expedition-class spaceflight.

PubMed

Caldwell, B S

2000-09-01

AO-lU. Expedition-class missions are distinct from historical human presence in space in ways that significantly affect information flow and information technology designs for such missions. The centrality of Mission Control in these missions is challenged by the distances, associated communication delays, and durations of expeditions, all of which require crews to have more local resources available to manage on-board situations. The author's current research investigates how ground controllers effectively allocate communications bandwidth, cognitive resources, and knowledge sharing skills during time critical routine and non-routine situations. The research focus is on team-based information and communication technology (ICT) use to provide recommendations for improvements to support adaptive bandwidth allocations and improved sharing of data and knowledge in Mission Control contexts. In order to further improve communication and coordination between controllers and crew, additional ICT support resources will be needed to provide shared context knowledge and dynamic assessment of costs and benefits for accessing local information vs. remote expertise. Crew members will have critical needs to understand the goals, intentions, and situational constraints associated with mission information resources in order to use them most effectively in conditions where ground-based expertise is insufficient or requires more time to access and coordinate than local task demands permit. Results of this research will serve to improve the design and implementation of ICT systems to improve human performance capabilities and system operating tolerances for exploration missions. (Specific research data were not available at the time of publication.)

Queueing theoretic analysis of labor and delivery : Understanding management styles and C-section rates.

PubMed

Gombolay, Matthew; Golen, Toni; Shah, Neel; Shah, Julie

2017-09-04

Childbirth is a complex clinical service requiring the coordinated support of highly trained healthcare professionals as well as management of a finite set of critical resources (such as staff and beds) to provide safe care. The mode of delivery (vaginal delivery or cesarean section) has a significant effect on labor and delivery resource needs. Further, resource management decisions may impact the amount of time a physician or nurse is able to spend with any given patient. In this work, we employ queueing theory to model one year of transactional patient information at a tertiary care center in Boston, Massachusetts. First, we observe that the M/G/∞ model effectively predicts patient flow in an obstetrics department. This model captures the dynamics of labor and delivery where patients arrive randomly during the day, the duration of their stay is based on their individual acuity, and their labor progresses at some rate irrespective of whether they are given a bed. Second, using our queueing theoretic model, we show that reducing the rate of cesarean section - a current quality improvement goal in American obstetrics - may have important consequences with regard to the resource needs of a hospital. We also estimate the potential financial impact of these resource needs from the hospital perspective. Third, we report that application of our model to an analysis of potential patient coverage strategies supports the adoption of team-based care, in which attending physicians share responsibilities for patients.

Agent-Based Modelling of Agricultural Water Abstraction in Response to Climate, Policy, and Demand Changes: Results from East Anglia, UK

NASA Astrophysics Data System (ADS)

Swinscoe, T. H. A.; Knoeri, C.; Fleskens, L.; Barrett, J.

2014-12-01

Freshwater is a vital natural resource for multiple needs, such as drinking water for the public, industrial processes, hydropower for energy companies, and irrigation for agriculture. In the UK, crop production is the largest in East Anglia, while at the same time the region is also the driest, with average annual rainfall between 560 and 720 mm (1971 to 2000). Many water catchments of East Anglia are reported as over licensed or over abstracted. Therefore, freshwater available for agricultural irrigation abstraction in this region is becoming both increasingly scarce due to competing demands, and increasingly variable and uncertain due to climate and policy changes. It is vital for water users and policy makers to understand how these factors will affect individual abstractors and water resource management at the system level. We present first results of an Agent-based Model that captures the complexity of this system as individual abstractors interact, learn and adapt to these internal and external changes. The purpose of this model is to simulate what patterns of water resource management emerge on the system level based on local interactions, adaptations and behaviours, and what policies lead to a sustainable water resource management system. The model is based on an irrigation abstractor typology derived from a survey in the study area, to capture individual behavioural intentions under a range of water availability scenarios, in addition to farm attributes, and demographics. Regional climate change scenarios, current and new abstraction licence reforms by the UK regulator, such as water trading and water shares, and estimated demand increases from other sectors were used as additional input data. Findings from the integrated model provide new understanding of the patterns of water resource management likely to emerge at the system level.

Knowledge and experience sharing practices among health professionals in hospitals under the Addis Ababa health bureau, Ethiopia.

PubMed

Asemahagn, Mulusew Andualem

2014-09-24

Health professionals need updated health information from credible sources to improve their knowledge and provide evidence based health care services. Various types of medical errors have occurred in resource-limited countries because of poor knowledge and experience sharing practices among health professionals. The aim of this study was to assess knowledge-sharing practices and determinants among health professionals in Addis Ababa, Ethiopia. An institutional based cross-sectional study was conducted among 320 randomly selected health professionals from August12-25/2012. A pretested, self-administered questionnaire was used to collect data about different variables. Data entry and analysis were done using Epi-Info version 3.5.4 and SPSS version20 respectively. Descriptive statistics and multivariate regression analyses were applied to describe study objectives and identify the determinants of knowledge sharing practices respectively. Odds ratio at 95% CI was used to describe the strength of association between the study and outcome variables. Most of the respondents approved the need of knowledge and experience sharing practices in their routine activities. Nearly half, 152 (49.0%) of the study participants had knowledge and experience sharing practices. A majority, 219 (70.0%) of the respondents showed a willingness to share their knowledge and experiences. Trust on others' knowledge, motivation, supportive leadership, job satisfaction, awareness, willingness and resource allocation are the determinants of knowledge and experience sharing practices. Supportive leadership, resources, and trust on others' knowledge can enhance knowledge and experience sharing by OR = 3.12, 95% CI = [1.89 - 5.78], OR = 2.3, 95% CI = [1.61- 4.21] and OR = 2.78, 95% CI = [1.66 - 4.64] times compared with their counterparts respectively. Even though most of the respondents knew the importance of knowledge and experience sharing practices, only a limited number of respondents practiced it. Individual, organizational and resource related issues are the major determinants of low knowledge sharing practices. Improving management, proper resource allocation, motivating staffs, and accessing health information sources are important interventions to improve the problem in the study area.

Grid Enabled Geospatial Catalogue Web Service

NASA Technical Reports Server (NTRS)

Chen, Ai-Jun; Di, Li-Ping; Wei, Ya-Xing; Liu, Yang; Bui, Yu-Qi; Hu, Chau-Min; Mehrotra, Piyush

2004-01-01

Geospatial Catalogue Web Service is a vital service for sharing and interoperating volumes of distributed heterogeneous geospatial resources, such as data, services, applications, and their replicas over the web. Based on the Grid technology and the Open Geospatial Consortium (0GC) s Catalogue Service - Web Information Model, this paper proposes a new information model for Geospatial Catalogue Web Service, named as GCWS which can securely provides Grid-based publishing, managing and querying geospatial data and services, and the transparent access to the replica data and related services under the Grid environment. This information model integrates the information model of the Grid Replica Location Service (RLS)/Monitoring & Discovery Service (MDS) with the information model of OGC Catalogue Service (CSW), and refers to the geospatial data metadata standards from IS0 19115, FGDC and NASA EOS Core System and service metadata standards from IS0 191 19 to extend itself for expressing geospatial resources. Using GCWS, any valid geospatial user, who belongs to an authorized Virtual Organization (VO), can securely publish and manage geospatial resources, especially query on-demand data in the virtual community and get back it through the data-related services which provide functions such as subsetting, reformatting, reprojection etc. This work facilitates the geospatial resources sharing and interoperating under the Grid environment, and implements geospatial resources Grid enabled and Grid technologies geospatial enabled. It 2!so makes researcher to focus on science, 2nd not cn issues with computing ability, data locztic, processir,g and management. GCWS also is a key component for workflow-based virtual geospatial data producing.

Good Samaritans in Networks: An Experiment on How Networks Influence Egalitarian Sharing and the Evolution of Inequality

PubMed Central

Chiang, Yen-Sheng

2015-01-01

The fact that the more resourceful people are sharing with the poor to mitigate inequality—egalitarian sharing—is well documented in the behavioral science research. How inequality evolves as a result of egalitarian sharing is determined by the structure of “who gives whom”. While most prior experimental research investigates allocation of resources in dyads and groups, the paper extends the research of egalitarian sharing to networks for a more generalized structure of social interaction. An agent-based model is proposed to predict how actors, linked in networks, share their incomes with neighbors. A laboratory experiment with human subjects further shows that income distributions evolve to different states in different network topologies. Inequality is significantly reduced in networks where the very rich and the very poor are connected so that income discrepancy is salient enough to motivate the rich to share their incomes with the poor. The study suggests that social networks make a difference in how egalitarian sharing influences the evolution of inequality. PMID:26061642

BioSharing: curated and crowd-sourced metadata standards, databases and data policies in the life sciences.

PubMed

McQuilton, Peter; Gonzalez-Beltran, Alejandra; Rocca-Serra, Philippe; Thurston, Milo; Lister, Allyson; Maguire, Eamonn; Sansone, Susanna-Assunta

2016-01-01

BioSharing (http://www.biosharing.org) is a manually curated, searchable portal of three linked registries. These resources cover standards (terminologies, formats and models, and reporting guidelines), databases, and data policies in the life sciences, broadly encompassing the biological, environmental and biomedical sciences. Launched in 2011 and built by the same core team as the successful MIBBI portal, BioSharing harnesses community curation to collate and cross-reference resources across the life sciences from around the world. BioSharing makes these resources findable and accessible (the core of the FAIR principle). Every record is designed to be interlinked, providing a detailed description not only on the resource itself, but also on its relations with other life science infrastructures. Serving a variety of stakeholders, BioSharing cultivates a growing community, to which it offers diverse benefits. It is a resource for funding bodies and journal publishers to navigate the metadata landscape of the biological sciences; an educational resource for librarians and information advisors; a publicising platform for standard and database developers/curators; and a research tool for bench and computer scientists to plan their work. BioSharing is working with an increasing number of journals and other registries, for example linking standards and databases to training material and tools. Driven by an international Advisory Board, the BioSharing user-base has grown by over 40% (by unique IP address), in the last year thanks to successful engagement with researchers, publishers, librarians, developers and other stakeholders via several routes, including a joint RDA/Force11 working group and a collaboration with the International Society for Biocuration. In this article, we describe BioSharing, with a particular focus on community-led curation.Database URL: https://www.biosharing.org. © The Author(s) 2016. Published by Oxford University Press.

Building Service Delivery Networks: Partnership Evolution Among Children's Behavioral Health Agencies in Response to New Funding.

PubMed

Bunger, Alicia C; Doogan, Nathan J; Cao, Yiwen

2014-12-01

Meeting the complex needs of youth with behavioral health problems requires a coordinated network of community-based agencies. Although fiscal scarcity or retrenchment can limit coordinated services, munificence can stimulate service delivery partnerships as agencies expand programs, hire staff, and spend more time coordinating services. This study examines the 2-year evolution of referral and staff expertise sharing networks in response to substantial new funding for services within a regional network of children's mental health organizations. Quantitative network survey data were collected from directors of 22 nonprofit organizations that receive funding from a county government-based behavioral health service fund. Both referral and staff expertise sharing networks changed over time, but results of a stochastic actor-oriented model of network dynamics suggest the nature of this change varies for these networks. Agencies with higher numbers of referral and staff expertise sharing partners tend to maintain these ties and/or develop new relationships over the 2 years. Agencies tend to refer to agencies they trust, but trust was not associated with staff expertise sharing ties. However, agencies maintain or form staff expertise sharing ties with referral partners, or with organizations that provide similar services. In addition, agencies tend to reciprocate staff expertise sharing, but not referrals. Findings suggest that during periods of resource munificence and service expansion, behavioral health organizations build service delivery partnerships in complex ways that build upon prior collaborative history and coordinate services among similar types of providers. Referral partnerships can pave the way for future information sharing relationships.

Building Service Delivery Networks: Partnership Evolution Among Children’s Behavioral Health Agencies in Response to New Funding

PubMed Central

Bunger, Alicia C.; Doogan, Nathan J.; Cao, Yiwen

2014-01-01

Meeting the complex needs of youth with behavioral health problems requires a coordinated network of community-based agencies. Although fiscal scarcity or retrenchment can limit coordinated services, munificence can stimulate service delivery partnerships as agencies expand programs, hire staff, and spend more time coordinating services. This study examines the 2-year evolution of referral and staff expertise sharing networks in response to substantial new funding for services within a regional network of children’s mental health organizations. Quantitative network survey data were collected from directors of 22 nonprofit organizations that receive funding from a county government-based behavioral health service fund. Both referral and staff expertise sharing networks changed over time, but results of a stochastic actor-oriented model of network dynamics suggest the nature of this change varies for these networks. Agencies with higher numbers of referral and staff expertise sharing partners tend to maintain these ties and/or develop new relationships over the 2 years. Agencies tend to refer to agencies they trust, but trust was not associated with staff expertise sharing ties. However, agencies maintain or form staff expertise sharing ties with referral partners, or with organizations that provide similar services. In addition, agencies tend to reciprocate staff expertise sharing, but not referrals. Findings suggest that during periods of resource munificence and service expansion, behavioral health organizations build service delivery partnerships in complex ways that build upon prior collaborative history and coordinate services among similar types of providers. Referral partnerships can pave the way for future information sharing relationships. PMID:25574359

A real-time biomimetic acoustic localizing system using time-shared architecture

NASA Astrophysics Data System (ADS)

Nourzad Karl, Marianne; Karl, Christian; Hubbard, Allyn

2008-04-01

In this paper a real-time sound source localizing system is proposed, which is based on previously developed mammalian auditory models. Traditionally, following the models, which use interaural time delay (ITD) estimates, the amount of parallel computations needed by a system to achieve real-time sound source localization is a limiting factor and a design challenge for hardware implementations. Therefore a new approach using a time-shared architecture implementation is introduced. The proposed architecture is a purely sample-base-driven digital system, and it follows closely the continuous-time approach described in the models. Rather than having dedicated hardware on a per frequency channel basis, a specialized core channel, shared for all frequency bands is used. Having an optimized execution time, which is much less than the system's sample rate, the proposed time-shared solution allows the same number of virtual channels to be processed as the dedicated channels in the traditional approach. Hence, the time-shared approach achieves a highly economical and flexible implementation using minimal silicon area. These aspects are particularly important in efficient hardware implementation of a real time biomimetic sound source localization system.

Optimisation of sensing time and transmission time in cognitive radio-based smart grid networks

NASA Astrophysics Data System (ADS)

Yang, Chao; Fu, Yuli; Yang, Junjie

2016-07-01

Cognitive radio (CR)-based smart grid (SG) networks have been widely recognised as emerging communication paradigms in power grids. However, a sufficient spectrum resource and reliability are two major challenges for real-time applications in CR-based SG networks. In this article, we study the traffic data collection problem. Based on the two-stage power pricing model, the power price is associated with the efficient received traffic data in a metre data management system (MDMS). In order to minimise the system power price, a wideband hybrid access strategy is proposed and analysed, to share the spectrum between the SG nodes and CR networks. The sensing time and transmission time are jointly optimised, while both the interference to primary users and the spectrum opportunity loss of secondary users are considered. Two algorithms are proposed to solve the joint optimisation problem. Simulation results show that the proposed joint optimisation algorithms outperform the fixed parameters (sensing time and transmission time) algorithms, and the power cost is reduced efficiently.

Decentralized Opportunistic Spectrum Resources Access Model and Algorithm toward Cooperative Ad-Hoc Networks.

PubMed

Liu, Ming; Xu, Yang; Mohammed, Abdul-Wahid

2016-01-01

Limited communication resources have gradually become a critical factor toward efficiency of decentralized large scale multi-agent coordination when both system scales up and tasks become more complex. In current researches, due to the agent's limited communication and observational capability, an agent in a decentralized setting can only choose a part of channels to access, but cannot perceive or share global information. Each agent's cooperative decision is based on the partial observation of the system state, and as such, uncertainty in the communication network is unavoidable. In this situation, it is a major challenge working out cooperative decision-making under uncertainty with only a partial observation of the environment. In this paper, we propose a decentralized approach that allows agents cooperatively search and independently choose channels. The key to our design is to build an up-to-date observation for each agent's view so that a local decision model is achievable in a large scale team coordination. We simplify the Dec-POMDP model problem, and each agent can jointly work out its communication policy in order to improve its local decision utilities for the choice of communication resources. Finally, we discuss an implicate resource competition game, and show that, there exists an approximate resources access tradeoff balance between agents. Based on this discovery, the tradeoff between real-time decision-making and the efficiency of cooperation using these channels can be well improved.

Developing New Models for Collection Development.

ERIC Educational Resources Information Center

Stoffle, Carla J.; Fore, Janet; Allen, Barbara

1999-01-01

Discusses the need to develop new models for collection development in academic libraries, based on experiences at the University of Arizona. Highlights include changes in the organizational chart; focusing on users' information goals and needs; integrative services; shared resources; interlibrary loans; digital technology; and funding. (LRW)

Spectrum Sharing Based on a Bertrand Game in Cognitive Radio Sensor Networks

PubMed Central

Zeng, Biqing; Zhang, Chi; Hu, Pianpian; Wang, Shengyu

2017-01-01

In the study of power control and allocation based on pricing, the utility of secondary users is usually studied from the perspective of the signal to noise ratio. The study of secondary user utility from the perspective of communication demand can not only promote the secondary users to meet the maximum communication needs, but also to maximize the utilization of spectrum resources, however, research in this area is lacking, so from the viewpoint of meeting the demand of network communication, this paper designs a two stage model to solve spectrum leasing and allocation problem in cognitive radio sensor networks (CRSNs). In the first stage, the secondary base station collects the secondary network communication requirements, and rents spectrum resources from several primary base stations using the Bertrand game to model the transaction behavior of the primary base station and secondary base station. The second stage, the subcarriers and power allocation problem of secondary base stations is defined as a nonlinear programming problem to be solved based on Nash bargaining. The simulation results show that the proposed model can satisfy the communication requirements of each user in a fair and efficient way compared to other spectrum sharing schemes. PMID:28067850

Data and Models as Social Objects in the HydroShare System for Collaboration in the Hydrology Community and Beyond

NASA Astrophysics Data System (ADS)

Tarboton, D. G.; Idaszak, R.; Horsburgh, J. S.; Ames, D. P.; Goodall, J. L.; Band, L. E.; Merwade, V.; Couch, A.; Hooper, R. P.; Maidment, D. R.; Dash, P. K.; Stealey, M.; Yi, H.; Gan, T.; Castronova, A. M.; Miles, B.; Li, Z.; Morsy, M. M.; Crawley, S.; Ramirez, M.; Sadler, J.; Xue, Z.; Bandaragoda, C.

2016-12-01

How do you share and publish hydrologic data and models for a large collaborative project? HydroShare is a new, web-based system for sharing hydrologic data and models with specific functionality aimed at making collaboration easier. HydroShare has been developed with U.S. National Science Foundation support under the auspices of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) to support the collaboration and community cyberinfrastructure needs of the hydrology research community. Within HydroShare, we have developed new functionality for creating datasets, describing them with metadata, and sharing them with collaborators. We cast hydrologic datasets and models as "social objects" that can be shared, collaborated around, annotated, published and discovered. In addition to data and model sharing, HydroShare supports web application programs (apps) that can act on data stored in HydroShare, just as software programs on your PC act on your data locally. This can free you from some of the limitations of local computing capacity and challenges in installing and maintaining software on your own PC. HydroShare's web-based cyberinfrastructure can take work off your desk or laptop computer and onto infrastructure or "cloud" based data and processing servers. This presentation will describe HydroShare's collaboration functionality that enables both public and private sharing with individual users and collaborative user groups, and makes it easier for collaborators to iterate on shared datasets and models, creating multiple versions along the way, and publishing them with a permanent landing page, metadata description, and citable Digital Object Identifier (DOI) when the work is complete. This presentation will also describe the web app architecture that supports interoperability with third party servers functioning as application engines for analysis and processing of big hydrologic datasets. While developed to support the cyberinfrastructure needs of the hydrology community, the informatics infrastructure for programmatic interoperability of web resources has a generality beyond the solution of hydrology problems that will be discussed.

A General Water Resources Regulation Software System in China

NASA Astrophysics Data System (ADS)

LEI, X.

2017-12-01

To avoid iterative development of core modules in water resource normal regulation and emergency regulation and improve the capability of maintenance and optimization upgrading of regulation models and business logics, a general water resources regulation software framework was developed based on the collection and analysis of common demands for water resources regulation and emergency management. It can provide a customizable, secondary developed and extensible software framework for the three-level platform "MWR-Basin-Province". Meanwhile, this general software system can realize business collaboration and information sharing of water resources regulation schemes among the three-level platforms, so as to improve the decision-making ability of national water resources regulation. There are four main modules involved in the general software system: 1) A complete set of general water resources regulation modules allows secondary developer to custom-develop water resources regulation decision-making systems; 2) A complete set of model base and model computing software released in the form of Cloud services; 3) A complete set of tools to build the concept map and model system of basin water resources regulation, as well as a model management system to calibrate and configure model parameters; 4) A database which satisfies business functions and functional requirements of general water resources regulation software can finally provide technical support for building basin or regional water resources regulation models.

Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research.

PubMed

Spruijt-Metz, Donna; Hekler, Eric; Saranummi, Niilo; Intille, Stephen; Korhonen, Ilkka; Nilsen, Wendy; Rivera, Daniel E; Spring, Bonnie; Michie, Susan; Asch, David A; Sanna, Alberto; Salcedo, Vicente Traver; Kukakfa, Rita; Pavel, Misha

2015-09-01

Adverse and suboptimal health behaviors and habits are responsible for approximately 40 % of preventable deaths, in addition to their unfavorable effects on quality of life and economics. Our current understanding of human behavior is largely based on static "snapshots" of human behavior, rather than ongoing, dynamic feedback loops of behavior in response to ever-changing biological, social, personal, and environmental states. This paper first discusses how new technologies (i.e., mobile sensors, smartphones, ubiquitous computing, and cloud-enabled processing/computing) and emerging systems modeling techniques enable the development of new, dynamic, and empirical models of human behavior that could facilitate just-in-time adaptive, scalable interventions. The paper then describes concrete steps to the creation of robust dynamic mathematical models of behavior including: (1) establishing "gold standard" measures, (2) the creation of a behavioral ontology for shared language and understanding tools that both enable dynamic theorizing across disciplines, (3) the development of data sharing resources, and (4) facilitating improved sharing of mathematical models and tools to support rapid aggregation of the models. We conclude with the discussion of what might be incorporated into a "knowledge commons," which could help to bring together these disparate activities into a unified system and structure for organizing knowledge about behavior.

The extent of interorganizational resource sharing among local health departments: the association with organizational characteristics and institutional factors.

PubMed

Vest, Joshua R; Shah, Gulzar H

2012-11-01

Resource sharing, arrangements between local health departments (LHDs) for joint programs or to share staff, is a growing occurrence. The post-9/11 influx of federal funding and new public health preparedness responsibilities dramatically increased the occurrence of these inter-LHD relationships, and several states have pursed more intrastate collaboration. This article describes the current state of resource sharing among LHDs and identifies the factors associated with resource sharing. Using the National Association of County & City Health Officials' 2010 Profile Survey, we determined the self-reported number of shared programmatic activities and the number of shared organizational functions for a sample of LHDs. Negative binomial regression models described the relationships between factors suggested by interorganizational theory and the counts of sharing activities. We examined the extent of resource sharing using 2 different count variables: (1) number of shared programmatic activities and (2) number of shared organizational functions. About one-half of all LHDs are engaged in resource sharing. The extent of sharing was lower for those serving larger populations, with city jurisdictions, or of larger size. Sharing was more extensive for state-governed LHDs, those covering multiple jurisdictions, states with centralized governance, and in instances of financial constraint. Many LHDs are engaged in a greater extent of resource sharing than others. Leaders of LHDs can work within the context of these factors to leverage resource sharing to meet their organizational needs.

A Programming Language Supporting First-Class Parallel Environments

DTIC Science & Technology

1989-01-01

Symmetric Lisp later in the thesis. 1.5.1.2 Procedures as Data - Comparison with Lisp Classical Lisp[48, 54] has been altered and extended in many ways... manangement problems. A resource manager controls access to one or more resources shared by concurrently executing processes. Database transaction systems...symmetric languages are related to languages based on more classical models? 3. What are the kinds of uniformity that the symmetric model supports and what

Decision support for hospital bed management using adaptable individual length of stay estimations and shared resources

PubMed Central

2013-01-01

Background Elective patient admission and assignment planning is an important task of the strategic and operational management of a hospital and early on became a central topic of clinical operations research. The management of hospital beds is an important subtask. Various approaches have been proposed, involving the computation of efficient assignments with regard to the patients’ condition, the necessity of the treatment, and the patients’ preferences. However, these approaches are mostly based on static, unadaptable estimates of the length of stay and, thus, do not take into account the uncertainty of the patient’s recovery. Furthermore, the effect of aggregated bed capacities have not been investigated in this context. Computer supported bed management, combining an adaptable length of stay estimation with the treatment of shared resources (aggregated bed capacities) has not yet been sufficiently investigated. The aim of our work is: 1) to define a cost function for patient admission taking into account adaptable length of stay estimations and aggregated resources, 2) to define a mathematical program formally modeling the assignment problem and an architecture for decision support, 3) to investigate four algorithmic methodologies addressing the assignment problem and one base-line approach, and 4) to evaluate these methodologies w.r.t. cost outcome, performance, and dismissal ratio. Methods The expected free ward capacity is calculated based on individual length of stay estimates, introducing Bernoulli distributed random variables for the ward occupation states and approximating the probability densities. The assignment problem is represented as a binary integer program. Four strategies for solving the problem are applied and compared: an exact approach, using the mixed integer programming solver SCIP; and three heuristic strategies, namely the longest expected processing time, the shortest expected processing time, and random choice. A baseline approach serves to compare these optimization strategies with a simple model of the status quo. All the approaches are evaluated by a realistic discrete event simulation: the outcomes are the ratio of successful assignments and dismissals, the computation time, and the model’s cost factors. Results A discrete event simulation of 226,000 cases shows a reduction of the dismissal rate compared to the baseline by more than 30 percentage points (from a mean dismissal ratio of 74.7% to 40.06% comparing the status quo with the optimization strategies). Each of the optimization strategies leads to an improved assignment. The exact approach has only a marginal advantage over the heuristic strategies in the model’s cost factors (≤3%). Moreover,this marginal advantage was only achieved at the price of a computational time fifty times that of the heuristic models (an average computing time of 141 s using the exact method, vs. 2.6 s for the heuristic strategy). Conclusions In terms of its performance and the quality of its solution, the heuristic strategy RAND is the preferred method for bed assignment in the case of shared resources. Future research is needed to investigate whether an equally marked improvement can be achieved in a large scale clinical application study, ideally one comprising all the departments involved in admission and assignment planning. PMID:23289448

Being Sticker Rich: Numerical Context Influences Children’s Sharing Behavior

PubMed Central

Posid, Tasha; Fazio, Allyse; Cordes, Sara

2015-01-01

Young children spontaneously share resources with anonymous recipients, but little is known about the specific circumstances that promote or hinder these prosocial tendencies. Children (ages 3–11) received a small (12) or large (30) number of stickers, and were then given the opportunity to share their windfall with either one or multiple anonymous recipients (Dictator Game). Whether a child chose to share or not varied as a function of age, but was uninfluenced by numerical context. Moreover, children’s giving was consistent with a proportion-based account, such that children typically donated a similar proportion (but different absolute number) of the resources given to them, regardless of whether they originally received a small or large windfall. The proportion of resources donated, however, did vary based on the number of recipients with whom they were allowed to share, such that on average, children shared more when there were more recipients available, particularly when they had more resources, suggesting they take others into consideration when making prosocial decisions. Finally, results indicated that a child’s gender also predicted sharing behavior, with males generally sharing more resources than females. Together, findings suggest that the numerical contexts under which children are asked to share, as well as the quantity of resources that they have to share, may interact to promote (or hinder) altruistic behaviors throughout childhood. PMID:26535900

The core legion object model

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

Lewis, M.; Grimshaw, A.

1996-12-31

The Legion project at the University of Virginia is an architecture for designing and building system services that provide the illusion of a single virtual machine to users, a virtual machine that provides secure shared object and shared name spaces, application adjustable fault-tolerance, improved response time, and greater throughput. Legion targets wide area assemblies of workstations, supercomputers, and parallel supercomputers, Legion tackles problems not solved by existing workstation based parallel processing tools; the system will enable fault-tolerance, wide area parallel processing, inter-operability, heterogeneity, a single global name space, protection, security, efficient scheduling, and comprehensive resource management. This paper describes themore » core Legion object model, which specifies the composition and functionality of Legion`s core objects-those objects that cooperate to create, locate, manage, and remove objects in the Legion system. The object model facilitates a flexible extensible implementation, provides a single global name space, grants site autonomy to participating organizations, and scales to millions of sites and trillions of objects.« less

The NIF DISCO Framework: Facilitating Automated Integration of Neuroscience Content on the Web

PubMed Central

Marenco, Luis; Wang, Rixin; Shepherd, Gordon M.; Miller, Perry L.

2013-01-01

This paper describes the capabilities of DISCO, an extensible approach that supports integrative Web-based information dissemination. DISCO is a component of the Neuroscience Information Framework (NIF), an NIH Neuroscience Blueprint initiative that facilitates integrated access to diverse neuroscience resources via the Internet. DISCO facilitates the automated maintenance of several distinct capabilities using a collection of files 1) that are maintained locally by the developers of participating neuroscience resources and 2) that are “harvested” on a regular basis by a central DISCO server. This approach allows central NIF capabilities to be updated as each resource’s content changes over time. DISCO currently supports the following capabilities: 1) resource descriptions, 2) “LinkOut” to a resource’s data items from NCBI Entrez resources such as PubMed, 3) Web-based interoperation with a resource, 4) sharing a resource’s lexicon and ontology, 5) sharing a resource’s database schema, and 6) participation by the resource in neuroscience-related RSS news dissemination. The developers of a resource are free to choose which DISCO capabilities their resource will participate in. Although DISCO is used by NIF to facilitate neuroscience data integration, its capabilities have general applicability to other areas of research. PMID:20387131

The use of traditional Hawaiian knowledge in the contemporary management of marine resources

USGS Publications Warehouse

Poepoe, Kelson K.; Bartram, Paul K.; Friedlander, Alan M.

2003-01-01

It is traditional for Hawaiians to "consult nature" so that fishing is practiced at times and places, and with gear that causes minimum disruption of natural biological and ecological processes. The Ho'olehua Hawaiian Homestead continues this tradition in and around Mo'omomi Bay on the northwest coast of the island of Moloka'i. This community relies heavily on inshore marine resources for subsistence and consequently, has an intimate knowledge of these resources. The shared knowledge, beliefs, and values of the community are culturally channeled to promote proper fishing behavior. This informal system brings more knowledge, experience, and moral commitment to fishery conservation than more centralized government management. Community-based management in the Mo'omomi area involves observational processes and problem-solving strategies for the purpose of conservation. The system is not articulated in the manner of Western science, but relies instead on mental models. These models foster a practical understanding of local inshore resource dynamics by the fishing community and, thus, lend credibility to unwritten standards for fishing conduct. The "code of conduct" is concerned with how people fish rather than how much they catch.

Team Collaboration Software

NASA Technical Reports Server (NTRS)

Wang, Yeou-Fang; Schrock, Mitchell; Baldwin, John R.; Borden, Charles S.

2010-01-01

The Ground Resource Allocation and Planning Environment (GRAPE 1.0) is a Web-based, collaborative team environment based on the Microsoft SharePoint platform, which provides Deep Space Network (DSN) resource planners tools and services for sharing information and performing analysis.

An Alternative Model of Continuing Professional Development for Teachers: Giving Teachers Time

ERIC Educational Resources Information Center

Haydn, Terry; Barton, Roy; Oliver, Ann

2008-01-01

The paper reports on the outcomes of a Department of Culture, Museums and Sport (DCMS) funded project which provided resources for three groups of teachers in different subjects and age phases to have some time where they were freed from their teaching responsibilities, and also given time to meet together with other teachers to share ideas. The…

Implementing the concurrent operation of sub-arrays in the ALMA correlator

NASA Astrophysics Data System (ADS)

Amestica, Rodrigo; Perez, Jesus; Lacasse, Richard; Saez, Alejandro

2016-07-01

The ALMA correlator processes the digitized signals from 64 individual antennas to produce a grand total of 2016 correlated base-lines, with runtime selectable lags resolution and integration time. The on-line software system can process a maximum of 125M visibilities per second, producing an archiving data rate close to one sixteenth of the former (7.8M visibilities per second with a network transfer limit of 60 MB/sec). Mechanisms in the correlator hardware design make it possible to split the total number of antennas in the array into smaller subsets, or sub-arrays, such that they can share correlator resources while executing independent observations. The software part of the sub-system is responsible for configuring and scheduling correlator resources in such a way that observations among independent subarrays occur simultaneously while internally sharing correlator resources under a cooperative arrangement. Configuration of correlator modes through its CAN-bus interface and periodic geometric delay updates are the most relevant activities to schedule concurrently while observations happen at the same time among a number of sub-arrays. For that to work correctly, the software interface to sub-arrays schedules shared correlator resources sequentially before observations actually start on each sub-array. Start times for specific observations are optimized and reported back to the higher level observing software. After that initial sequential phase has taken place then simultaneous executions and recording of correlated data across different sub-arrays move forward concurrently, sharing the local network to broadcast results to other software sub-systems. The present paper presents an overview of the different hardware and software actors within the correlator sub-system that implement some degree of concurrency and synchronization needed for seamless and simultaneous operation of multiple sub-arrays, limitations stemming from the resource-sharing nature of the correlator, limitations intrinsic to the digital technology available in the correlator hardware, and milestones so far reached by this new ALMA feature.

Monitoring Contract Enforcement within Virtual Organizations

NASA Astrophysics Data System (ADS)

Squicciarini, Anna; Paci, Federica

Virtual Organizations (VOs) represent a new collaboration paradigm in which the participating entities pool resources, services, and information to achieve a common goal. VOs are often created on demand and dynamically evolve over time. An organization identifies a business opportunity and creates a VO to meet it. In this paper we develop a system for monitoring the sharing of resources in VO. Sharing rules are defined by a particular, common type of contract in which virtual organization members agree to make available some amount of specified resource over a given time period. The main component of the system is a monitoring tool for policy enforcement, called Security Controller (SC). VO members’ interactions are monitored in a decentralized manner in that each member has one associated SC which intercepts all the exchanged messages. We show that having SCs in VOs prevents from serious security breaches and guarantees VOs correct functioning without degrading the execution time of members’ interactions. We base our discussion on application scenarios and illustrate the SC prototype, along with some performance evaluation.

Comparison of OPC job prioritization schemes to generate data for mask manufacturing

NASA Astrophysics Data System (ADS)

Lewis, Travis; Veeraraghavan, Vijay; Jantzen, Kenneth; Kim, Stephen; Park, Minyoung; Russell, Gordon; Simmons, Mark

2015-03-01

Delivering mask ready OPC corrected data to the mask shop on-time is critical for a foundry to meet the cycle time commitment for a new product. With current OPC compute resource sharing technology, different job scheduling algorithms are possible, such as, priority based resource allocation and fair share resource allocation. In order to maximize computer cluster efficiency, minimize the cost of the data processing and deliver data on schedule, the trade-offs of each scheduling algorithm need to be understood. Using actual production jobs, each of the scheduling algorithms will be tested in a production tape-out environment. Each scheduling algorithm will be judged on its ability to deliver data on schedule and the trade-offs associated with each method will be analyzed. It is now possible to introduce advance scheduling algorithms to the OPC data processing environment to meet the goals of on-time delivery of mask ready OPC data while maximizing efficiency and reducing cost.

Structure and mechanism of diet specialisation: testing models of individual variation in resource use with sea otters

USGS Publications Warehouse

Tinker, M. Tim; Guimarães, Paulo R.; Novak, Mark; Marquitti, Flavia Maria Darcie; Bodkin, James L.; Staedler, Michelle; Bentall, Gena B.; Estes, James A.

2012-01-01

Studies of consumer-resource interactions suggest that individual diet specialisation is empirically widespread and theoretically important to the organisation and dynamics of populations and communities. We used weighted networks to analyze the resource use by sea otters, testing three alternative models for how individual diet specialisation may arise. As expected, individual specialisation was absent when otter density was low, but increased at high-otter density. A high-density emergence of nested resource-use networks was consistent with the model assuming individuals share preference ranks. However, a density-dependent emergence of a non-nested modular network for ‘core’ resources was more consistent with the ‘competitive refuge’ model. Individuals from different diet modules showed predictable variation in rank-order prey preferences and handling times of core resources, further supporting the competitive refuge model. Our findings support a hierarchical organisation of diet specialisation and suggest individual use of core and marginal resources may be driven by different selective pressures.

How should we build a generic open-source water management simulator?

NASA Astrophysics Data System (ADS)

Khadem, M.; Meier, P.; Rheinheimer, D. E.; Padula, S.; Matrosov, E.; Selby, P. D.; Knox, S.; Harou, J. J.

2014-12-01

Increasing water needs for agriculture, industry and cities mean effective and flexible water resource system management tools will remain in high demand. Currently many regions or countries use simulators that have been adapted over time to their unique system properties and water management rules and realities. Most regions operate with a preferred short-list of water management and planning decision support systems. Is there scope for a simulator, shared within the water management community, that could be adapted to different contexts, integrate community contributions, and connect to generic data and model management software? What role could open-source play in such a project? How could a genericuser-interface and data/model management software sustainably be attached to this model or suite of models? Finally, how could such a system effectively leverage existing model formulations, modeling technologies and software? These questions are addressed by the initial work presented here. We introduce a generic water resource simulation formulation that enables and integrates both rule-based and optimization driven technologies. We suggest how it could be linked to other sub-models allowing for detailed agent-based simulation of water management behaviours. An early formulation is applied as an example to the Thames water resource system in the UK. The model uses centralised optimisation to calculate allocations but allows for rule-based operations as well in an effort to represent observed behaviours and rules with fidelity. The model is linked through import/export commands to a generic network model platform named Hydra. Benefits and limitations of the approach are discussed and planned work and potential use cases are outlined.

Effect of Resource Spatial Correlation and Hunter-Fisher-Gatherer Mobility on Social Cooperation in Tierra del Fuego

PubMed Central

Santos, José Ignacio; Pereda, María; Zurro, Débora; Álvarez, Myrian; Caro, Jorge; Galán, José Manuel; Briz i Godino, Ivan

2015-01-01

This article presents an agent-based model designed to explore the development of cooperation in hunter-fisher-gatherer societies that face a dilemma of sharing an unpredictable resource that is randomly distributed in space. The model is a stylised abstraction of the Yamana society, which inhabited the channels and islands of the southernmost part of Tierra del Fuego (Argentina-Chile). According to ethnographic sources, the Yamana developed cooperative behaviour supported by an indirect reciprocity mechanism: whenever someone found an extraordinary confluence of resources, such as a beached whale, they would use smoke signals to announce their find, bringing people together to share food and exchange different types of social capital. The model provides insight on how the spatial concentration of beachings and agents’ movements in the space can influence cooperation. We conclude that the emergence of informal and dynamic communities that operate as a vigilance network preserves cooperation and makes defection very costly. PMID:25853728

Model My Watershed and BiG CZ Data Portal: Interactive geospatial analysis and hydrological modeling web applications that leverage the Amazon cloud for scientists, resource managers and students

NASA Astrophysics Data System (ADS)

Aufdenkampe, A. K.; Mayorga, E.; Tarboton, D. G.; Sazib, N. S.; Horsburgh, J. S.; Cheetham, R.

2016-12-01

The Model My Watershed Web app (http://wikiwatershed.org/model/) was designed to enable citizens, conservation practitioners, municipal decision-makers, educators, and students to interactively select any area of interest anywhere in the continental USA to: (1) analyze real land use and soil data for that area; (2) model stormwater runoff and water-quality outcomes; and (3) compare how different conservation or development scenarios could modify runoff and water quality. The BiG CZ Data Portal is a web application for scientists for intuitive, high-performance map-based discovery, visualization, access and publication of diverse earth and environmental science data via a map-based interface that simultaneously performs geospatial analysis of selected GIS and satellite raster data for a selected area of interest. The two web applications share a common codebase (https://github.com/WikiWatershed and https://github.com/big-cz), high performance geospatial analysis engine (http://geotrellis.io/ and https://github.com/geotrellis) and deployment on the Amazon Web Services (AWS) cloud cyberinfrastructure. Users can use "on-the-fly" rapid watershed delineation over the national elevation model to select their watershed or catchment of interest. The two web applications also share the goal of enabling the scientists, resource managers and students alike to share data, analyses and model results. We will present these functioning web applications and their potential to substantially lower the bar for studying and understanding our water resources. We will also present work in progress, including a prototype system for enabling citizen-scientists to register open-source sensor stations (http://envirodiy.org/mayfly/) to stream data into these systems, so that they can be reshared using Water One Flow web services.

A Model Supported Interactive Virtual Environment for Natural Resource Sharing in Environmental Education

ERIC Educational Resources Information Center

Barbalios, N.; Ioannidou, I.; Tzionas, P.; Paraskeuopoulos, S.

2013-01-01

This paper introduces a realistic 3D model supported virtual environment for environmental education, that highlights the importance of water resource sharing by focusing on the tragedy of the commons dilemma. The proposed virtual environment entails simulations that are controlled by a multi-agent simulation model of a real ecosystem consisting…

Towards Sustainability and Scalability of Educational Innovations in Hydrology:What is the Value and who is the Customer?

NASA Astrophysics Data System (ADS)

Deshotel, M.; Habib, E. H.

2016-12-01

There is an increasing desire by the water education community to use emerging research resources and technological advances in order to reform current educational practices. Recent years have witnessed some exemplary developments that tap into emerging hydrologic modeling and data sharing resources, innovative digital and visualization technologies, and field experiences. However, such attempts remain largely at the scale of individual efforts and fall short of meeting scalability and sustainability solutions. This can be attributed to number of reasons such as inadequate experience with modeling and data-based educational developments, lack of faculty time to invest in further developments, and lack of resources to further support the project. Another important but often-overlooked reason is the lack of adequate insight on the actual needs of end-users of such developments. Such insight is highly critical to inform how to scale and sustain educational innovations. In this presentation, we share with the hydrologic community experiences gathered from an ongoing experiment where the authors engaged in a hypothesis-driven, customer-discovery process to inform the scalability and sustainability of educational innovations in the field of hydrology and water resources education. The experiment is part of a program called Innovation Corps for Learning (I-Corps L). This program follows a business model approach where a value proposition is initially formulated on the educational innovation. The authors then engaged in a hypothesis-validation process through an intense series of customer interviews with different segments of potential end users, including junior/senior students, student interns, and hydrology professors. The authors also sought insight from engineering firms by interviewing junior engineers and their supervisors to gather feedback on the preparedness of graduating engineers as they enter the workforce in the area of water resources. Exploring the large landscape of potential users is critical in formulating a user-driven approach that can inform the innovation development. The presentation shares the results of this experiment and the insight gained and discusses how such information can inform the community on sustaining and scaling hydrology educational developments.

Securely and Flexibly Sharing a Biomedical Data Management System

PubMed Central

Wang, Fusheng; Hussels, Phillip; Liu, Peiya

2011-01-01

Biomedical database systems need not only to address the issues of managing complex data, but also to provide data security and access control to the system. These include not only system level security, but also instance level access control such as access of documents, schemas, or aggregation of information. The latter is becoming more important as multiple users can share a single scientific data management system to conduct their research, while data have to be protected before they are published or IP-protected. This problem is challenging as users’ needs for data security vary dramatically from one application to another, in terms of who to share with, what resources to be shared, and at what access level. We develop a comprehensive data access framework for a biomedical data management system SciPort. SciPort provides fine-grained multi-level space based access control of resources at not only object level (documents and schemas), but also space level (resources set aggregated in a hierarchy way). Furthermore, to simplify the management of users and privileges, customizable role-based user model is developed. The access control is implemented efficiently by integrating access privileges into the backend XML database, thus efficient queries are supported. The secure access approach we take makes it possible for multiple users to share the same biomedical data management system with flexible access management and high data security. PMID:21625285

Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing

PubMed Central

Farabet, Clément; Paz, Rafael; Pérez-Carrasco, Jose; Zamarreño-Ramos, Carlos; Linares-Barranco, Alejandro; LeCun, Yann; Culurciello, Eugenio; Serrano-Gotarredona, Teresa; Linares-Barranco, Bernabe

2012-01-01

Most scene segmentation and categorization architectures for the extraction of features in images and patches make exhaustive use of 2D convolution operations for template matching, template search, and denoising. Convolutional Neural Networks (ConvNets) are one example of such architectures that can implement general-purpose bio-inspired vision systems. In standard digital computers 2D convolutions are usually expensive in terms of resource consumption and impose severe limitations for efficient real-time applications. Nevertheless, neuro-cortex inspired solutions, like dedicated Frame-Based or Frame-Free Spiking ConvNet Convolution Processors, are advancing real-time visual processing. These two approaches share the neural inspiration, but each of them solves the problem in different ways. Frame-Based ConvNets process frame by frame video information in a very robust and fast way that requires to use and share the available hardware resources (such as: multipliers, adders). Hardware resources are fixed- and time-multiplexed by fetching data in and out. Thus memory bandwidth and size is important for good performance. On the other hand, spike-based convolution processors are a frame-free alternative that is able to perform convolution of a spike-based source of visual information with very low latency, which makes ideal for very high-speed applications. However, hardware resources need to be available all the time and cannot be time-multiplexed. Thus, hardware should be modular, reconfigurable, and expansible. Hardware implementations in both VLSI custom integrated circuits (digital and analog) and FPGA have been already used to demonstrate the performance of these systems. In this paper we present a comparison study of these two neuro-inspired solutions. A brief description of both systems is presented and also discussions about their differences, pros and cons. PMID:22518097

Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing.

PubMed

Farabet, Clément; Paz, Rafael; Pérez-Carrasco, Jose; Zamarreño-Ramos, Carlos; Linares-Barranco, Alejandro; Lecun, Yann; Culurciello, Eugenio; Serrano-Gotarredona, Teresa; Linares-Barranco, Bernabe

2012-01-01

Most scene segmentation and categorization architectures for the extraction of features in images and patches make exhaustive use of 2D convolution operations for template matching, template search, and denoising. Convolutional Neural Networks (ConvNets) are one example of such architectures that can implement general-purpose bio-inspired vision systems. In standard digital computers 2D convolutions are usually expensive in terms of resource consumption and impose severe limitations for efficient real-time applications. Nevertheless, neuro-cortex inspired solutions, like dedicated Frame-Based or Frame-Free Spiking ConvNet Convolution Processors, are advancing real-time visual processing. These two approaches share the neural inspiration, but each of them solves the problem in different ways. Frame-Based ConvNets process frame by frame video information in a very robust and fast way that requires to use and share the available hardware resources (such as: multipliers, adders). Hardware resources are fixed- and time-multiplexed by fetching data in and out. Thus memory bandwidth and size is important for good performance. On the other hand, spike-based convolution processors are a frame-free alternative that is able to perform convolution of a spike-based source of visual information with very low latency, which makes ideal for very high-speed applications. However, hardware resources need to be available all the time and cannot be time-multiplexed. Thus, hardware should be modular, reconfigurable, and expansible. Hardware implementations in both VLSI custom integrated circuits (digital and analog) and FPGA have been already used to demonstrate the performance of these systems. In this paper we present a comparison study of these two neuro-inspired solutions. A brief description of both systems is presented and also discussions about their differences, pros and cons.

Dynamic virtual machine allocation policy in cloud computing complying with service level agreement using CloudSim

NASA Astrophysics Data System (ADS)

Aneri, Parikh; Sumathy, S.

2017-11-01

Cloud computing provides services over the internet and provides application resources and data to the users based on their demand. Base of the Cloud Computing is consumer provider model. Cloud provider provides resources which consumer can access using cloud computing model in order to build their application based on their demand. Cloud data center is a bulk of resources on shared pool architecture for cloud user to access. Virtualization is the heart of the Cloud computing model, it provides virtual machine as per application specific configuration and those applications are free to choose their own configuration. On one hand, there is huge number of resources and on other hand it has to serve huge number of requests effectively. Therefore, resource allocation policy and scheduling policy play very important role in allocation and managing resources in this cloud computing model. This paper proposes the load balancing policy using Hungarian algorithm. Hungarian Algorithm provides dynamic load balancing policy with a monitor component. Monitor component helps to increase cloud resource utilization by managing the Hungarian algorithm by monitoring its state and altering its state based on artificial intelligent. CloudSim used in this proposal is an extensible toolkit and it simulates cloud computing environment.

International Comparison of Poststroke Resource Use: A Longitudinal Analysis in Europe.

PubMed

Matchar, David B; Bilger, Marcel; Do, Young K; Eom, Kirsten

2015-10-01

Long-term costs often represent a large proportion of the total costs induced by stroke, but data on long-term poststroke resource use are sparse, especially regarding the trajectory of costs by severity. We used a multinational longitudinal survey to estimate patterns of poststroke resource use by degree of functional disability and to compare resource use between regions. The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multinational database of adults 50 years and older, which includes demographic information about respondents, age when stroke first occurred, current activity of daily living (ADL) limitations, and health care resource use in the year before interview. We modeled resource use with a 2-part regression for number of hospital days, home nursing hours, and paid and unpaid home caregiving hours. After accounting for time since stroke, number of strokes and comorbidities, age, gender, and European regions, we found that poststroke resource use was strongly associated with ADL limitations. The duration since the stroke event was significantly associated only with inpatient care, and informal help showed significant regional heterogeneity across all ADL limitation levels. Poststroke physical deficits appear to be a strong driver of long-term resource utilization; treatments that decrease such deficits offer substantial potential for downline cost savings. Analyzing internationally comparable panel data, such as SHARE, provide valuable insight into long-term cost of stroke. More comprehensive international comparisons will require registries with follow-up, particularly for informal and formal home-based care. Copyright © 2015 National Stroke Association. Published by Elsevier Inc. All rights reserved.

The essential nature of sharing in science.

PubMed

Fischer, Beth A; Zigmond, Michael J

2010-12-01

Advances in science are the combined result of the efforts of a great many scientists, and in many cases, their willingness to share the products of their research. These products include data sets, both small and large, and unique research resources not commercially available, such as cell lines and software programs. The sharing of these resources enhances both the scope and the depth of research, while making more efficient use of time and money. However, sharing is not without costs, many of which are borne by the individual who develops the research resource. Sharing, for example, reduces the uniqueness of the resources available to a scientist, potentially influencing the originator's perceived productivity and ultimately his or her competitiveness for jobs, promotions, and grants. Nevertheless, for most researchers-particularly those using public funds-sharing is no longer optional but must be considered an obligation to science, the funding agency, and ultimately society at large. Most funding agencies, journals, and professional societies now require a researcher who has published work involving a unique resource to make that resource available to other investigators. Changes could be implemented to mitigate some of the costs. The creator of the resource could explore the possibility of collaborating with those who request it. In addition, institutions that employ and fund researchers could change their policies and practices to make sharing a more attractive and viable option. For example, when evaluating an individual's productivity, institutions could provide credit for the impact a researcher has had on their field through the provision of their unique resources to other investigators, regardless of whether that impact is reflected in the researcher's list of publications. In addition, increased funding for the development and maintenance of user-friendly public repositories for data and research resources would also help to reduce barriers to sharing by minimizing the time, effort, and funding needed by individual investigators to comply with requests for their unique resource. Indeed, sharing is an imperative, but it is also essential to find ways to protect for both the original owner of the resource and those wishing to share it.

Consumer, physician, and payer perspectives on primary care medication management services with a shared resource pharmacists network.

PubMed

Smith, Marie; Cannon-Breland, Michelle L; Spiggle, Susan

2014-01-01

Health care reform initiatives are examining new care delivery models and payment reform alternatives such as medical homes, health homes, community-based care transitions teams, medical neighborhoods and accountable care organizations (ACOs). Of particular interest is the extent to which pharmacists are integrated in team-based health care reform initiatives and the related perspectives of consumers, physicians, and payers. To assess the current knowledge of consumers and physicians about pharmacist training/expertise and capacity to provide primary care medication management services in a shared resource network; determine factors that will facilitate/limit consumer interest in having pharmacists as a member of a community-based "health care team;" determine factors that will facilitate/limit physician utilization of pharmacists for medication management services; and determine factors that will facilitate/limit payer reimbursement models for medication management services using a shared resource pharmacist network model. This project used qualitative research methods to assess the perceptions of consumers, primary care physicians, and payers on pharmacist-provided medication management services using a shared resource network of pharmacists. Focus groups were conducted with primary care physicians and consumers, while semi-structured discussions were conducted with a public and private payer. Most consumers viewed pharmacists in traditional dispensing roles and were unaware of the direct patient care responsibilities of pharmacists as part of community-based health teams. Physicians noted several chronic disease states where clinically-trained pharmacists could collaborate as health care team members yet had uncertainties about integrating pharmacists into their practice workflow and payment sources for pharmacist services. Payers were interested in having credentialed pharmacists provide medication management services if the services improved quality of patient care and/or prevented adverse drug events, and the services were cost neutral (at a minimum). It was difficult for most consumers and physicians to envision pharmacists practicing in non-dispensing roles. The pharmacy profession must disseminate the existing body of evidence on pharmacists as care providers of medication management services and the related impact on clinical outcomes, patient safety, and cost savings to external audiences. Without such, new pharmacist practice models may have limited acceptance by consumers, primary care physicians, and payers. Copyright © 2014 Elsevier Inc. All rights reserved.

Earthquake and failure forecasting in real-time: A Forecasting Model Testing Centre

NASA Astrophysics Data System (ADS)

Filgueira, Rosa; Atkinson, Malcolm; Bell, Andrew; Main, Ian; Boon, Steven; Meredith, Philip

2013-04-01

Across Europe there are a large number of rock deformation laboratories, each of which runs many experiments. Similarly there are a large number of theoretical rock physicists who develop constitutive and computational models both for rock deformation and changes in geophysical properties. Here we consider how to open up opportunities for sharing experimental data in a way that is integrated with multiple hypothesis testing. We present a prototype for a new forecasting model testing centre based on e-infrastructures for capturing and sharing data and models to accelerate the Rock Physicist (RP) research. This proposal is triggered by our work on data assimilation in the NERC EFFORT (Earthquake and Failure Forecasting in Real Time) project, using data provided by the NERC CREEP 2 experimental project as a test case. EFFORT is a multi-disciplinary collaboration between Geoscientists, Rock Physicists and Computer Scientist. Brittle failure of the crust is likely to play a key role in controlling the timing of a range of geophysical hazards, such as volcanic eruptions, yet the predictability of brittle failure is unknown. Our aim is to provide a facility for developing and testing models to forecast brittle failure in experimental and natural data. Model testing is performed in real-time, verifiably prospective mode, in order to avoid selection biases that are possible in retrospective analyses. The project will ultimately quantify the predictability of brittle failure, and how this predictability scales from simple, controlled laboratory conditions to the complex, uncontrolled real world. Experimental data are collected from controlled laboratory experiments which includes data from the UCL Laboratory and from Creep2 project which will undertake experiments in a deep-sea laboratory. We illustrate the properties of the prototype testing centre by streaming and analysing realistically noisy synthetic data, as an aid to generating and improving testing methodologies in imperfect conditions. The forecasting model testing centre uses a repository to hold all the data and models and a catalogue to hold all the corresponding metadata. It allows to: Data transfer: Upload experimental data: We have developed FAST (Flexible Automated Streaming Transfer) tool to upload data from RP laboratories to the repository. FAST sets up data transfer requirements and selects automatically the transfer protocol. Metadata are automatically created and stored. Web data access: Create synthetic data: Users can choose a generator and supply parameters. Synthetic data are automatically stored with corresponding metadata. Select data and models: Search the metadata using criteria design for RP. The metadata of each data (synthetic or from laboratory) and models are well-described through their respective catalogues accessible by the web portal. Upload models: Upload and store a model with associated metadata. This provide an opportunity to share models. The web portal solicits and creates metadata describing each model. Run model and visualise results: Selected data and a model to be submitted to a High Performance Computational resource hiding technical details. Results are displayed in accelerated time and stored allowing retrieval, inspection and aggregation. The forecasting model testing centre proposed could be integrated into EPOS. Its expected benefits are: Improved the understanding of brittle failure prediction and its scalability to natural phenomena. Accelerated and extensive testing and rapid sharing of insights. Increased impact and visibility of RP and GeoScience research. Resources for education and training. A key challenge is to agree the framework for sharing RP data and models. Our work is provocative first step.

A quantitative model of application slow-down in multi-resource shared systems

DOE PAGES

Lim, Seung-Hwan; Kim, Youngjae

2016-12-26

Scheduling multiple jobs onto a platform enhances system utilization by sharing resources. The benefits from higher resource utilization include reduced cost to construct, operate, and maintain a system, which often include energy consumption. Maximizing these benefits comes at a price-resource contention among jobs increases job completion time. In this study, we analyze slow-downs of jobs due to contention for multiple resources in a system; referred to as dilation factor. We observe that multiple-resource contention creates non-linear dilation factors of jobs. From this observation, we establish a general quantitative model for dilation factors of jobs in multi-resource systems. A job ismore » characterized by a vector-valued loading statistics and dilation factors of a job set are given by a quadratic function of their loading vectors. We demonstrate how to systematically characterize a job, maintain the data structure to calculate the dilation factor (loading matrix), and calculate the dilation factor of each job. We validate the accuracy of the model with multiple processes running on a native Linux server, virtualized servers, and with multiple MapReduce workloads co-scheduled in a cluster. Evaluation with measured data shows that the D-factor model has an error margin of less than 16%. We extended the D-factor model to capture the slow-down of applications when multiple identical resources exist such as multi-core environments and multi-disks environments. Finally, validation results of the extended D-factor model with HPC checkpoint applications on the parallel file systems show that D-factor accurately captures the slow down of concurrent applications in such environments.« less

A quantitative model of application slow-down in multi-resource shared systems

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

Lim, Seung-Hwan; Kim, Youngjae

Scheduling multiple jobs onto a platform enhances system utilization by sharing resources. The benefits from higher resource utilization include reduced cost to construct, operate, and maintain a system, which often include energy consumption. Maximizing these benefits comes at a price-resource contention among jobs increases job completion time. In this study, we analyze slow-downs of jobs due to contention for multiple resources in a system; referred to as dilation factor. We observe that multiple-resource contention creates non-linear dilation factors of jobs. From this observation, we establish a general quantitative model for dilation factors of jobs in multi-resource systems. A job ismore » characterized by a vector-valued loading statistics and dilation factors of a job set are given by a quadratic function of their loading vectors. We demonstrate how to systematically characterize a job, maintain the data structure to calculate the dilation factor (loading matrix), and calculate the dilation factor of each job. We validate the accuracy of the model with multiple processes running on a native Linux server, virtualized servers, and with multiple MapReduce workloads co-scheduled in a cluster. Evaluation with measured data shows that the D-factor model has an error margin of less than 16%. We extended the D-factor model to capture the slow-down of applications when multiple identical resources exist such as multi-core environments and multi-disks environments. Finally, validation results of the extended D-factor model with HPC checkpoint applications on the parallel file systems show that D-factor accurately captures the slow down of concurrent applications in such environments.« less

The designing and implementation of PE teaching information resource database based on broadband network

NASA Astrophysics Data System (ADS)

Wang, Jian

2017-01-01

In order to change traditional PE teaching mode and realize the interconnection, interworking and sharing of PE teaching resources, a distance PE teaching platform based on broadband network is designed and PE teaching information resource database is set up. The designing of PE teaching information resource database takes Windows NT 4/2000Server as operating system platform, Microsoft SQL Server 7.0 as RDBMS, and takes NAS technology for data storage and flow technology for video service. The analysis of system designing and implementation shows that the dynamic PE teaching information resource sharing platform based on Web Service can realize loose coupling collaboration, realize dynamic integration and active integration and has good integration, openness and encapsulation. The distance PE teaching platform based on Web Service and the design scheme of PE teaching information resource database can effectively solve and realize the interconnection, interworking and sharing of PE teaching resources and adapt to the informatization development demands of PE teaching.

Effect of resource constraints on intersimilar coupled networks.

PubMed

Shai, S; Dobson, S

2012-12-01

Most real-world networks do not live in isolation but are often coupled together within a larger system. Recent studies have shown that intersimilarity between coupled networks increases the connectivity of the overall system. However, unlike connected nodes in a single network, coupled nodes often share resources, like time, energy, and memory, which can impede flow processes through contention when intersimilarly coupled. We study a model of a constrained susceptible-infected-recovered (SIR) process on a system consisting of two random networks sharing the same set of nodes, where nodes are limited to interact with (and therefore infect) a maximum number of neighbors at each epidemic time step. We obtain that, in agreement with previous studies, when no limit exists (regular SIR model), positively correlated (intersimilar) coupling results in a lower epidemic threshold than negatively correlated (interdissimilar) coupling. However, in the case of the constrained SIR model, the obtained epidemic threshold is lower with negatively correlated coupling. The latter finding differentiates our work from previous studies and provides another step towards revealing the qualitative differences between single and coupled networks.

Effect of resource constraints on intersimilar coupled networks

NASA Astrophysics Data System (ADS)

Shai, S.; Dobson, S.

2012-12-01

Most real-world networks do not live in isolation but are often coupled together within a larger system. Recent studies have shown that intersimilarity between coupled networks increases the connectivity of the overall system. However, unlike connected nodes in a single network, coupled nodes often share resources, like time, energy, and memory, which can impede flow processes through contention when intersimilarly coupled. We study a model of a constrained susceptible-infected-recovered (SIR) process on a system consisting of two random networks sharing the same set of nodes, where nodes are limited to interact with (and therefore infect) a maximum number of neighbors at each epidemic time step. We obtain that, in agreement with previous studies, when no limit exists (regular SIR model), positively correlated (intersimilar) coupling results in a lower epidemic threshold than negatively correlated (interdissimilar) coupling. However, in the case of the constrained SIR model, the obtained epidemic threshold is lower with negatively correlated coupling. The latter finding differentiates our work from previous studies and provides another step towards revealing the qualitative differences between single and coupled networks.

Medical students, clinical preventive services, and shared decision-making.

PubMed

Keefe, Carole W; Thompson, Margaret E; Noel, Mary Margaret

2002-11-01

Improving access to preventive care requires addressing patient, provider, and systems barriers. Patients often lack knowledge or are skeptical about the importance of prevention. Physicians feel that they have too little time, are not trained to deliver preventive services, and are concerned about the effectiveness of prevention. We have implemented an educational module in the required family practice clerkship (1) to enhance medical student learning about common clinical preventive services and (2) to teach students how to inform and involve patients in shared decision making about those services. Students are asked to examine available evidence-based information for preventive screening services. They are encouraged to look at the recommendations of various organizations and use such resources as reports from the U.S. Preventive Services Task Force to determine recommendations they want to be knowledgeable about in talking with their patients. For learning shared decision making, students are trained to use a model adapted from Braddock and colleagues(1) to discuss specific screening services and to engage patients in the process of making informed decisions about what is best for their own health. The shared decision making is presented and modeled by faculty, discussed in small groups, and students practice using Web-based cases and simulations. The students are evaluated using formative and summative performance-based assessments as they interact with simulated patients about (1) screening for high blood cholesterol and other lipid abnormalities, (2) screening for colorectal cancer, (3) screening for prostate cancer, and (4) screening for breast cancer. The final student evaluation is a ten-minute, videotaped discussion with a simulated patient about screening for colorectal cancer that is graded against a checklist that focuses primarily on the elements of shared decision making. Our medical students appear quite willing to accept shared decision making as a skill that they should have in working with patients, and this was the primary focus of the newly implemented module. However, we have learned that students need to deepen their understanding of screening services in order to help patients understand the associated benefits and risks. The final videotaped interaction with a simulated patient about colorectal cancer screening has been very helpful in making it more obvious to faculty what students believe and know about screening for colorectal cancer. As the students are asked to discuss clinical issues with patients and discuss the pros and cons of screening tests as part of the shared decision-making process, their thinking becomes transparent and it is evident where curricular changes and enhancements are required. We have found that an explicit model that allows students to demonstrate a process for shared decision making is a good introductory tool. We think it would be helpful to provide students with more formative feedback. We would like to develop faculty development programs around shared decision making so that more of our clinical faculty would model such a process with patients. Performance-based assessments are resource-intensive, but they appear to be worth the added effort in terms of enhanced skills development and a more comprehensive appraisal of student learning.

Supporting capacity sharing in the cloud manufacturing environment based on game theory and fuzzy logic

NASA Astrophysics Data System (ADS)

Argoneto, Pierluigi; Renna, Paolo

2016-02-01

This paper proposes a Framework for Capacity Sharing in Cloud Manufacturing (FCSCM) able to support the capacity sharing issue among independent firms. The success of geographical distributed plants depends strongly on the use of opportune tools to integrate their resources and demand forecast in order to gather a specific production objective. The framework proposed is based on two different tools: a cooperative game algorithm, based on the Gale-Shapley model, and a fuzzy engine. The capacity allocation policy takes into account the utility functions of the involved firms. It is shown how the capacity allocation policy proposed induces all firms to report truthfully their information about their requirements. A discrete event simulation environment has been developed to test the proposed FCSCM. The numerical results show the drastic reduction of unsatisfied capacity obtained by the model of cooperation implemented in this work.

Dynamics Of Human Motion The Case Study of an Examination Hall

NASA Astrophysics Data System (ADS)

Ogunjo, Samuel; Ajayi, Oluwaseyi; Fuwape, Ibiyinka; Dansu, Emmanuel

Human behaviour is difficult to characterize and generalize due to ITS complex nature. Advances in mathematical models have enabled human systems such as love interaction, alcohol abuse, admission problem to be described using models. This study investigates one of such problems, the dynamics of human motion in an examination hall with limited computer systems such that students write their examination in batches. The examination is characterized by time (t) allocated to each students and difficulty level (dl) associated with the examination. A stochastic model based on the difficulty level of the examination was developed for the prediction of student's motion around the examination hall. A good agreement was obtained between theoretical predictions and numerical simulation. The result obtained will help in better planning of examination session to maximize available resources. Furthermore, results obtained in the research can be extended to other areas such as banking hall, customer service points where available resources will be shared amongst many users.

[Research on tumor information grid framework].

PubMed

Zhang, Haowei; Qin, Zhu; Liu, Ying; Tan, Jianghao; Cao, Haitao; Chen, Youping; Zhang, Ke; Ding, Yuqing

2013-10-01

In order to realize tumor disease information sharing and unified management, we utilized grid technology to make the data and software resources which distributed in various medical institutions for effective integration so that we could make the heterogeneous resources consistent and interoperable in both semantics and syntax aspects. This article describes the tumor grid framework, the type of the service being packaged in Web Service Description Language (WSDL) and extensible markup language schemas definition (XSD), the client use the serialized document to operate the distributed resources. The service objects could be built by Unified Modeling Language (UML) as middle ware to create application programming interface. All of the grid resources are registered in the index and released in the form of Web Services based on Web Services Resource Framework (WSRF). Using the system we can build a multi-center, large sample and networking tumor disease resource sharing framework to improve the level of development in medical scientific research institutions and the patient's quality of life.

OpenMP parallelization of a gridded SWAT (SWATG)

NASA Astrophysics Data System (ADS)

Zhang, Ying; Hou, Jinliang; Cao, Yongpan; Gu, Juan; Huang, Chunlin

2017-12-01

Large-scale, long-term and high spatial resolution simulation is a common issue in environmental modeling. A Gridded Hydrologic Response Unit (HRU)-based Soil and Water Assessment Tool (SWATG) that integrates grid modeling scheme with different spatial representations also presents such problems. The time-consuming problem affects applications of very high resolution large-scale watershed modeling. The OpenMP (Open Multi-Processing) parallel application interface is integrated with SWATG (called SWATGP) to accelerate grid modeling based on the HRU level. Such parallel implementation takes better advantage of the computational power of a shared memory computer system. We conducted two experiments at multiple temporal and spatial scales of hydrological modeling using SWATG and SWATGP on a high-end server. At 500-m resolution, SWATGP was found to be up to nine times faster than SWATG in modeling over a roughly 2000 km2 watershed with 1 CPU and a 15 thread configuration. The study results demonstrate that parallel models save considerable time relative to traditional sequential simulation runs. Parallel computations of environmental models are beneficial for model applications, especially at large spatial and temporal scales and at high resolutions. The proposed SWATGP model is thus a promising tool for large-scale and high-resolution water resources research and management in addition to offering data fusion and model coupling ability.

Sustainability is possible despite greed - Exploring the nexus between profitability and sustainability in common pool resource systems.

PubMed

Osten, Friedrich Burkhard von der; Kirley, Michael; Miller, Tim

2017-05-23

The sustainable use of common pool resources has become a significant global challenge. It is now widely accepted that specific mechanisms such as community-based management strategies, institutional responses such as resource privatization, information availability and emergent social norms can be used to constrain individual 'harvesting' to socially optimal levels. However, there is a paucity of research focused specifically on aligning profitability and sustainability goals. In this paper, an integrated mathematical model of a common pool resource game is developed to explore the nexus between the underlying costs and benefits of harvesting decisions and the sustainable level of a shared, dynamic resource. We derive optimal harvesting efforts analytically and then use numerical simulations to show that individuals in a group can learn to make harvesting decisions that lead to the globally optimal levels. Individual agents make their decision based on signals received and a trade-off between economic and ecological sustainability. When the balance is weighted towards profitability, acceptable economic and social outcomes emerge. However, if individual agents are solely driven by profit, the shared resource is depleted in the long run - sustainability is possible despite some greed, but too much will lead to over-exploitation.

Rapid acquisition and model-based analysis of cell-free transcription–translation reactions from nonmodel bacteria

PubMed Central

Wienecke, Sarah; Ishwarbhai, Alka; Tsipa, Argyro; Aw, Rochelle; Kylilis, Nicolas; Bell, David J.; McClymont, David W.; Jensen, Kirsten; Biedendieck, Rebekka

2018-01-01

Native cell-free transcription–translation systems offer a rapid route to characterize the regulatory elements (promoters, transcription factors) for gene expression from nonmodel microbial hosts, which can be difficult to assess through traditional in vivo approaches. One such host, Bacillus megaterium, is a giant Gram-positive bacterium with potential biotechnology applications, although many of its regulatory elements remain uncharacterized. Here, we have developed a rapid automated platform for measuring and modeling in vitro cell-free reactions and have applied this to B. megaterium to quantify a range of ribosome binding site variants and previously uncharacterized endogenous constitutive and inducible promoters. To provide quantitative models for cell-free systems, we have also applied a Bayesian approach to infer ordinary differential equation model parameters by simultaneously using time-course data from multiple experimental conditions. Using this modeling framework, we were able to infer previously unknown transcription factor binding affinities and quantify the sharing of cell-free transcription–translation resources (energy, ribosomes, RNA polymerases, nucleotides, and amino acids) using a promoter competition experiment. This allows insights into resource limiting-factors in batch cell-free synthesis mode. Our combined automated and modeling platform allows for the rapid acquisition and model-based analysis of cell-free transcription–translation data from uncharacterized microbial cell hosts, as well as resource competition within cell-free systems, which potentially can be applied to a range of cell-free synthetic biology and biotechnology applications. PMID:29666238

Shared ownership: what's the future?

PubMed

Roth, Karen L

2013-01-01

The status of library consortia has evolved over time in terms of their composition and alternative negotiating models. New purchasing models may allow improved library involvement in the acquisitions process and improved methods for meeting users' future needs. Ever-increasing costs of library resources and the need to reduce expenses make it necessary to continue the exploration of library consortia for group purchases.

Opportunistic Capacity-Based Resource Allocation for Chunk-Based Multi-Carrier Cognitive Radio Sensor Networks

PubMed Central

Huang, Jie; Zeng, Xiaoping; Jian, Xin; Tan, Xiaoheng; Zhang, Qi

2017-01-01

The spectrum allocation for cognitive radio sensor networks (CRSNs) has received considerable research attention under the assumption that the spectrum environment is static. However, in practice, the spectrum environment varies over time due to primary user/secondary user (PU/SU) activity and mobility, resulting in time-varied spectrum resources. This paper studies resource allocation for chunk-based multi-carrier CRSNs with time-varied spectrum resources. We present a novel opportunistic capacity model through a continuous time semi-Markov chain (CTSMC) to describe the time-varied spectrum resources of chunks and, based on this, a joint power and chunk allocation model by considering the opportunistically available capacity of chunks is proposed. To reduce the computational complexity, we split this model into two sub-problems and solve them via the Lagrangian dual method. Simulation results illustrate that the proposed opportunistic capacity-based resource allocation algorithm can achieve better performance compared with traditional algorithms when the spectrum environment is time-varied. PMID:28106803

Economic and hydrogeologic disparities govern the vulnerability of shared groundwater to strategic overdraft

NASA Astrophysics Data System (ADS)

Mullen, C.; Muller, M. F.

2017-12-01

Groundwater resources are depleting globally at an alarming rate. When the resource is shared, exploitation by individual users affects groundwater levels and increases pumping costs to all users. This incentivizes individual users to strategically over-pump, an effect that is challenging to keep in check because the underground nature of the resource often precludes regulations from being effectively implemented. As a result, shared groundwater resources are prone to tragedies of the commons that exacerbate their rapid depletion. However, we showed in a recent study that the vulnerability of aquifer systems to strategic overuse is strongly affected by local economic and physical characteristics, which suggests that not all shared aquifers are subject to tragedies of the commons. Building on these findings, we develop a vulnerability index based on coupled game theoretical and groundwater flow models. We show that vulnerability to strategic overdraft is driven by four intuitively interpretable adimensional parameters that describe economic and hydrogeologic disparities between the agents exploiting the aquifer. This suggests a scale-independent relation between the vulnerability of groundwater systems to common-pool overdraft and their economic and physical characteristics. We investigate this relation for a sample of existing aquifer systems and explore implications for enforceable groundwater agreements that would effectively mitigate strategic overdraft.

A Self-organized MIMO-OFDM-based Cellular Network

NASA Astrophysics Data System (ADS)

Grünheid, Rainer; Fellenberg, Christian

2012-05-01

This paper presents a system proposal for a self-organized cellular network, which is based on the MIMO-OFDM transmission technique. Multicarrier transmission, combined with appropriate beamforming concepts, yields high bandwidth-efficiency and shows a robust behavior in multipath radio channels. Moreover, it provides a fine and tuneable granularity of space-time-frequency resources. Using a TDD approach and interference measurements in each cell, the Base Stations (BSs) decide autonomously which of the space-time-frequency resource blocks are allocated to the Mobile Terminals (MTs) in the cell, in order to fulfil certain Quality of Service (QoS) parameters. Since a synchronized Single Frequency Network (SFN), i.e., a re-use factor of one is applied, the resource blocks can be shared adaptively and flexibly among the cells, which is very advantageous in the case of a non-uniform MT distribution.

Allocation of control rights in the PPP Project: a cooperative game model

NASA Astrophysics Data System (ADS)

Zhang, Yunhua; Feng, Jingchun; Yang, Shengtao

2017-06-01

Reasonable allocation of control rights is the key to the success of Public-Private Partnership (PPP) projects. PPP are services or ventures which are financed and operated through cooperation between governmental and private sector actors and which involve reasonable control rights sharing between these two partners. After professional firm with capital and technology as a shareholder participating in PPP project firms, the PPP project is diversified in participants and input resources. Meanwhile the allocation of control rights of PPP project tends to be complicated. According to the diversification of participants and input resources of PPP projects, the key participants are divided into professional firms and pure investors. Based on the cost of repurchase of different input resources in markets, the cooperative game relationship between these two parties is analyzed, on the basis of which the allocation model of the cooperative game for control rights is constructed to ensure optimum allocation ration of control rights and verify the share of control rights in proportion to the cost of repurchase.

Quantifying Scheduling Challenges for Exascale System Software

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

Mondragon, Oscar; Bridges, Patrick G.; Jones, Terry R

2015-01-01

The move towards high-performance computing (HPC) ap- plications comprised of coupled codes and the need to dra- matically reduce data movement is leading to a reexami- nation of time-sharing vs. space-sharing in HPC systems. In this paper, we discuss and begin to quantify the perfor- mance impact of a move away from strict space-sharing of nodes for HPC applications. Specifically, we examine the po- tential performance cost of time-sharing nodes between ap- plication components, we determine whether a simple coor- dinated scheduling mechanism can address these problems, and we research how suitable simple constraint-based opti- mization techniques are for solvingmore » scheduling challenges in this regime. Our results demonstrate that current general- purpose HPC system software scheduling and resource al- location systems are subject to significant performance de- ciencies which we quantify for six representative applica- tions. Based on these results, we discuss areas in which ad- ditional research is needed to meet the scheduling challenges of next-generation HPC systems.« less

Time and interference: Effects on working memory.

PubMed

Botto, Marta; Palladino, Paola

2016-05-01

This study tested predictions from the time-based resource-sharing (TBRS) model with a classical verbal working memory (WM) task, where target and non-target information interfere strongly with each other. Different predictions can be formulated according to the dominant perspectives (TBRS and interference hypothesis) on the role of inhibitory control in WM task performance. Here, we aimed to trace the activation of irrelevant information, examining priming effects in a lexical decision task immediately following WM recall. Results indicate the roles of both time and interference constraints in determining task performance. In particular, the role of time available seemed crucial at the highest WM loads (i.e., 3 and 4 memoranda). These were also associated with a higher activation of no-longer-relevant information but, in this case, independently from time available for processing. © 2015 The British Psychological Society.

The Implementation of Integrated Natural Science Textbook of Junior High School be Charged on Character-based Shared Models to Improve the Competence of Learners' Knowledge

NASA Astrophysics Data System (ADS)

Rahmiwati, S.; Ratnawulan; Yohandri

2018-04-01

The process of science learning can take place if there is an attempt to create an active learning atmosphere and can improve the knowledge competence of learners. One of the efforts made is to use learning resources. Textbooks are a learning resource used by learners. This study aims to describe the increase of knowledge’s competence of learners with integrated Natural Science (IPA) textbook of Junior High School (SMP) be charged on character-based shared model. The method used pre-test, post-test design with one group using the class as a research subject. Pre-test was given before treatment to measure student’s initial understanding of the problem, while the post-test was given to measure student’s final understanding.The subject of this research is students of class VII SMP N 13 Padang. Result of gain score is 0,73. The result showed competence student’s knowledge increased significantly and high categorized.

Coexistence and community structure in a consumer resource model with implicit stoichiometry.

PubMed

Orlando, Paul A; Brown, Joel S; Wise, David H

2012-09-01

We combine stoichiometry theory and optimal foraging theory into the MacArthur consumer-resource model. This generates predictions for diet choice, coexistence, and community structure of heterotroph communities. Tradeoffs in consumer resource-garnering traits influence community outcomes. With scarce resources, consumers forage opportunistically for complementary resources and may coexist via tradeoffs in resource encounter rates. In contrast to single currency models, stoichiometry permits multiple equilibria. These alternative stable states occur when tradeoffs in resource encounter rates are stronger than tradeoffs in elemental conversion efficiencies. With abundant resources consumers exhibit partially selective diets for essential resources and may coexist via tradeoffs in elemental conversion efficiencies. These results differ from single currency models, where adaptive diet selection is either opportunistic or selective. Interestingly, communities composed of efficient consumers share many of the same properties as communities based on substitutable resources. However, communities composed of relatively inefficient consumers behave similarly to plant communities as characterized by Tilman's consumer resource theory. The results of our model indicate that the effects of stoichiometry theory on community ecology are dependent upon both consumer foraging behavior and the nature of resource garnering tradeoffs. Copyright © 2012 Elsevier Inc. All rights reserved.

Sharik 1.0: User Needs and System Requirements for a Web-Based Tool to Support Collaborative Sensemaking

DTIC Science & Technology

2016-05-01

Sharik 1.0: User Needs and System Requirements for a Web -Based Tool to Support Collaborative Sensemaking Shadi Ghajar-Khosravi...share the new intelligence items with their peers. In this report, the authors describe Sharik (SHAring Resources, Information, and Knowledge), a web ...SHAring Resources, Information and Knowledge, soit le partage des ressources, de l’information et des connaissances), un outil Web qui facilite le

Simulation modelling of central order processing system under resource sharing strategy in demand-driven garment supply chains

NASA Astrophysics Data System (ADS)

Ma, K.; Thomassey, S.; Zeng, X.

2017-10-01

In this paper we proposed a central order processing system under resource sharing strategy for demand-driven garment supply chains to increase supply chain performances. We examined this system by using simulation technology. Simulation results showed that significant improvement in various performance indicators was obtained in new collaborative model with proposed system.

The Resource Manager the ATLAS Trigger and Data Acquisition System

NASA Astrophysics Data System (ADS)

Aleksandrov, I.; Avolio, G.; Lehmann Miotto, G.; Soloviev, I.

2017-10-01

The Resource Manager is one of the core components of the Data Acquisition system of the ATLAS experiment at the LHC. The Resource Manager marshals the right for applications to access resources which may exist in multiple but limited copies, in order to avoid conflicts due to program faults or operator errors. The access to resources is managed in a manner similar to what a lock manager would do in other software systems. All the available resources and their association to software processes are described in the Data Acquisition configuration database. The Resource Manager is queried about the availability of resources every time an application needs to be started. The Resource Manager’s design is based on a client-server model, hence it consists of two components: the Resource Manager “server” application and the “client” shared library. The Resource Manager server implements all the needed functionalities, while the Resource Manager client library provides remote access to the “server” (i.e., to allocate and free resources, to query about the status of resources). During the LHC’s Long Shutdown period, the Resource Manager’s requirements have been reviewed at the light of the experience gained during the LHC’s Run 1. As a consequence, the Resource Manager has undergone a full re-design and re-implementation cycle with the result of a reduction of the code base by 40% with respect to the previous implementation. This contribution will focus on the way the design and the implementation of the Resource Manager could leverage the new features available in the C++11 standard, and how the introduction of external libraries (like Boost multi-container) led to a more maintainable system. Additionally, particular attention will be given to the technical solutions adopted to ensure the Resource Manager could effort the typical requests rates of the Data Acquisition system, which is about 30000 requests in a time window of few seconds coming from more than 1000 clients.

The effect of processing code, response modality and task difficulty on dual task performance and subjective workload in a manual system

NASA Technical Reports Server (NTRS)

Liu, Yili; Wickens, Christopher D.

1987-01-01

This paper reports on the first experiment of a series studying the effect of task structure and difficulty demand on time-sharing performance and workload in both automated and corresponding manual systems. The experimental task involves manual control time-shared with spatial and verbal decisions tasks of two levels of difficulty and two modes of response (voice or manual). The results provide strong evidence that tasks and processes competing for common processing resources are time shared less effecively and have higher workload than tasks competing for separate resources. Subjective measures and the structure of multiple resources are used in conjunction to predict dual task performance. The evidence comes from both single-task and from dual-task performance.

Attention and Visuospatial Working Memory Share the Same Processing Resources

PubMed Central

Feng, Jing; Pratt, Jay; Spence, Ian

2012-01-01

Attention and visuospatial working memory (VWM) share very similar characteristics; both have the same upper bound of about four items in capacity and they recruit overlapping brain regions. We examined whether both attention and VWM share the same processing resources using a novel dual-task costs approach based on a load-varying dual-task technique. With sufficiently large loads on attention and VWM, considerable interference between the two processes was observed. A further load increase on either process produced reciprocal increases in interference on both processes, indicating that attention and VWM share common resources. More critically, comparison among four experiments on the reciprocal interference effects, as measured by the dual-task costs, demonstrates no significant contribution from additional processing other than the shared processes. These results support the notion that attention and VWM share the same processing resources. PMID:22529826

Data collection for cooperative water resources modeling in the Lower Rio Grande Basin, Fort Quitman to the Gulf of Mexico.

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

Passell, Howard David; Pallachula, Kiran; Tidwell, Vincent Carroll

2004-10-01

Water resource scarcity around the world is driving the need for the development of simulation models that can assist in water resources management. Transboundary water resources are receiving special attention because of the potential for conflict over scarce shared water resources. The Rio Grande/Rio Bravo along the U.S./Mexican border is an example of a scarce, transboundary water resource over which conflict has already begun. The data collection and modeling effort described in this report aims at developing methods for international collaboration, data collection, data integration and modeling for simulating geographically large and diverse international watersheds, with a special focus onmore » the Rio Grande/Rio Bravo. This report describes the basin, and the data collected. This data collection effort was spatially aggregated across five reaches consisting of Fort Quitman to Presidio, the Rio Conchos, Presidio to Amistad Dam, Amistad Dam to Falcon Dam, and Falcon Dam to the Gulf of Mexico. This report represents a nine-month effort made in FY04, during which time the model was not completed.« less

Shared Resources: Working Both Ways with Business and Industry.

ERIC Educational Resources Information Center

Rand, Glenn

1989-01-01

Describes the cooperative relationship established between Eastman Kodak Company and Lansing Community College whereby the college assigned an employee from the media department to work half time for Kodak. Examines the benefits to the college and outcomes of the shared resource effort. (DMM)

Description and testing of the Geo Data Portal: Data integration framework and Web processing services for environmental science collaboration

USGS Publications Warehouse

Blodgett, David L.; Booth, Nathaniel L.; Kunicki, Thomas C.; Walker, Jordan I.; Viger, Roland J.

2011-01-01

Interest in sharing interdisciplinary environmental modeling results and related data is increasing among scientists. The U.S. Geological Survey Geo Data Portal project enables data sharing by assembling open-standard Web services into an integrated data retrieval and analysis Web application design methodology that streamlines time-consuming and resource-intensive data management tasks. Data-serving Web services allow Web-based processing services to access Internet-available data sources. The Web processing services developed for the project create commonly needed derivatives of data in numerous formats. Coordinate reference system manipulation and spatial statistics calculation components implemented for the Web processing services were confirmed using ArcGIS 9.3.1, a geographic information science software package. Outcomes of the Geo Data Portal project support the rapid development of user interfaces for accessing and manipulating environmental data.

One for You, One for Me: Humans' Unique Turn-Taking Skills.

PubMed

Melis, Alicia P; Grocke, Patricia; Kalbitz, Josefine; Tomasello, Michael

2016-07-01

Long-term collaborative relationships require that any jointly produced resources be shared in mutually satisfactory ways. Prototypically, this sharing involves partners dividing up simultaneously available resources, but sometimes the collaboration makes a resource available to only one individual, and any sharing of resources must take place across repeated instances over time. Here, we show that beginning at 5 years of age, human children stabilize cooperation in such cases by taking turns across instances of obtaining a resource. In contrast, chimpanzees do not take turns in this way, and so their collaboration tends to disintegrate over time. Alternating turns in obtaining a collaboratively produced resource does not necessarily require a prosocial concern for the other, but rather requires only a strategic judgment that partners need incentives to continue collaborating. These results suggest that human beings are adapted for thinking strategically in ways that sustain long-term cooperative relationships and that are absent in their nearest primate relatives. © The Author(s) 2016.

Hydrological Modeling and WEB-GIS for the Water Resource Management

NASA Astrophysics Data System (ADS)

Pierleoni, A.; Bellezza, M.; Casadei, S.; Manciola, P.

2006-12-01

Water resources are a strategically natural resource although they can be extremely susceptible to degradation. As a matter of fact the increasing demand from multipurpose uses, which often are in competition amongst themselves, seems to affect the concept of sustainability per se', thus highlighting phenomena of quality-quantity degradation of water resources. In this context, the issue of water resource management rises to a more important role, especially when, other then the traditional uses for civil, industrial and agronomic purposes, environmental demands are taken into consideration. In particular, for environmental demands we mean: to preserve minimal flows, to conserve ecosystems and biodiversities, to protect and improve the environment and finally also the recreational facilities. In the present work, two software tools are presented; they combine the scientific aspect of the issues with a feasible and widely accessible application of the mathematical modeling in techno-operative fields within a sustainable management policy of the water resource at the basin scale. The first evaluation model of the available superficial water resource bases its algorithms upon regionalization procedures of flow parameters deduced from the geomorphologic features of the soil of the basin (BFI, Area) and presents, as output, a set of duration curves (DC) of the natural, measurable (natural after withdrawal), and residual (discharge usable for dissipative use) flow. The hydrological modeling combined with a GIS engine allows to process the dataset and regionalize the information of each section of the hydrographic network, in order to attain information about the effect of upriver withdrawals, in terms of evaluation parameters (measurable DC) to maintain an optimal water supply all along the entire downstream network. This model, projected with a WEB interface developed in PERL and connected to a MySQL database, has also been tested at the basin and sub-basin scale as an effective decision support system (DSS). The second software tool is a simulation model of a managed water resource for multipurpose uses. The algorithm is based on a topological sketch of the hydrographic network in terms of "Nodes" and "Links" combined with computation procedures for managing the water resource of big reservoirs. The peculiar feature of this method is that it performs a preliminary budget between the total available amount and the demand over a time span longer than the simulation step (week, month). During the managing phase, four different allocation methods are available: proportional, percentage, priority and balanced priority, hence this tool becomes flexible and allows to simulate many different management policies. This project was developed in JAVA and as a workstation product. Both software tools will be handled in a single system that, combined with a GIS map engine, is an integrated model for managing the water resource at the basin scale. The final aim of this project is to be able to share these scientific tools and hydrological data among many institutional uses. For this purpose, a WEB-based system, under the control of an administrator, provides on the one hand the possibility to easily keep the database up-to-date and on the other, the possibility to share data and retrieve the results of the procedures optimized for managing superficial water resources at the basin scale.

Methods and Frequency of Sharing of Learning Resources by Medical Students

ERIC Educational Resources Information Center

Judd, Terry; Elliott, Kristine

2017-01-01

University students have ready access to quality learning resources through learning management systems (LMS), online library collections and generic search tools. However, anecdotal evidence suggests they sometimes turn to peer-based sharing rather than sourcing resources directly. We know little about this practice--how common it is, what sort…

[Design and implementation of data reporting system for Chinese materia medica resources survey].

PubMed

Wang, Hui; Zhang, Xiao-Bo; Ge, Xiao-Guang; Jing, Zhi-Xian; Wang, Ling; Zhao, Yu-Ping; Guo, Lan-Ping; Huang, Lu-Qi

2017-11-01

The collection, summary and sharing of all kinds of survey data are one of the main tasks and achievements in the national census of Chinese materia medica resources organized and implemented by the State Administration of Traditional Chinese Medicine. It is a key link in the implementation of the national census of Chinese materia medica resources. Based on the client / server architecture, the data reporting system for Chinese materia medica resources survey has been established for reporting system application model of geospatial data service based on Web implementation, through the SOA framework, to achieve the data collection summary of the seven aspects of the local data configuration, data reporting, data verification, data reporting, PDA data import and export, APP data import, track instrument data import. The system services include the general investigation, the focus of investigation, specimen information, herbs sample information, market research, germplasm survey, traditional knowledge survey of these seven aspects of the 312 indicators of the report, serving the Chinese materia medica resource survey of field survey data collection and internal data collation. The system provides the technical support for the national census of Chinese materia medica resources, improves the efficiency of the census of Chinese materia medica resources, and is conducive to the long-term preservation of the data of Chinese materia medica resources census, the transformation and sharing of the results. Copyright© by the Chinese Pharmaceutical Association.

Grid computing enhances standards-compatible geospatial catalogue service

NASA Astrophysics Data System (ADS)

Chen, Aijun; Di, Liping; Bai, Yuqi; Wei, Yaxing; Liu, Yang

2010-04-01

A catalogue service facilitates sharing, discovery, retrieval, management of, and access to large volumes of distributed geospatial resources, for example data, services, applications, and their replicas on the Internet. Grid computing provides an infrastructure for effective use of computing, storage, and other resources available online. The Open Geospatial Consortium has proposed a catalogue service specification and a series of profiles for promoting the interoperability of geospatial resources. By referring to the profile of the catalogue service for Web, an innovative information model of a catalogue service is proposed to offer Grid-enabled registry, management, retrieval of and access to geospatial resources and their replicas. This information model extends the e-business registry information model by adopting several geospatial data and service metadata standards—the International Organization for Standardization (ISO)'s 19115/19119 standards and the US Federal Geographic Data Committee (FGDC) and US National Aeronautics and Space Administration (NASA) metadata standards for describing and indexing geospatial resources. In order to select the optimal geospatial resources and their replicas managed by the Grid, the Grid data management service and information service from the Globus Toolkits are closely integrated with the extended catalogue information model. Based on this new model, a catalogue service is implemented first as a Web service. Then, the catalogue service is further developed as a Grid service conforming to Grid service specifications. The catalogue service can be deployed in both the Web and Grid environments and accessed by standard Web services or authorized Grid services, respectively. The catalogue service has been implemented at the George Mason University/Center for Spatial Information Science and Systems (GMU/CSISS), managing more than 17 TB of geospatial data and geospatial Grid services. This service makes it easy to share and interoperate geospatial resources by using Grid technology and extends Grid technology into the geoscience communities.

Resource Sharing in Times of Retrenchment.

ERIC Educational Resources Information Center

Sloan, Bernard G.

1992-01-01

Discusses the impact of decreases in revenues on the resource-sharing activities of ILLINET Online and the Illinois Library Computer Systems Organization (ILCSO). Strategies for successfully coping with fiscal crises are suggested, including reducing levels of service and initiating user fees for interlibrary loans and faxing photocopied journal…

Data sharing in the ag community - what are current challenges, benefits, and opportunities

USDA-ARS?s Scientific Manuscript database

The model for building agronomic science today and into the future to meet global food demands with limited resources will be through public-private data acquisition, sharing, and collaborative analysis. The public perspective focuses on preserving natural resources. The private perspective focuses ...

Participatory Modeling Processes to Build Community Knowledge Using Shared Model and Data Resources and in a Transboundary Pacific Northwest Watershed (Nooksack River Basin, Washington, USA)

NASA Astrophysics Data System (ADS)

Bandaragoda, C.; Dumas, M.

2014-12-01

As with many western US watersheds, the Nooksack River Basin faces strong pressures associated with climate variability and change, rapid population growth, and deep-rooted water law. This transboundary basin includes contributing areas in British Columbia, Canada, and has a long history of joint data collection, model development, and facilitated communication between governmental (federal, tribal, state, local), environmental, timber, agricultural, and recreational user groups. However, each entity in the watershed responds to unique data coordination, information sharing, and adaptive management regimes and thresholds, further increasing the complexity of watershed management. Over the past four years, participatory methods were used to compile and review scientific data and models, including fish habitat (endangered salmonid species), channel hydraulics, climate data, agricultural, municipal and industrial water use, and integrated watershed scale distributed hydrologic models from over 15 years of projects (from jointly funded to independent shared work by individual companies, agencies, and universities). A specific outcome of the work includes participatory design of a collective problem statement used for guidance on future investment of shared resources and development of a data-generation process where modeling results are communicated in a three-tiers for 1) public/decision-making, 2) technical, and 3) research audiences. We establish features for successful participation using tools that are iteratively developed, tested for usability through incremental knowledge building, and designed to provide rigor in modeling. A general outcome of the work is ongoing support by tribal, state, and local governments, as well as the agricultural community, to continue the generation of shared watershed data using models in a dynamic legal and regulatory setting, where two federally recognized tribes have requested federal court resolution of federal treaty rights. Our participatory modeling process aims to integrate disciplines and watershed processes over time and space, while building capacity for more holistic watershed-scale thinking, or community knowledge, by research, governmental and public interests.

Development of a Clinical Forecasting Model to Predict Comorbid Depression Among Diabetes Patients and an Application in Depression Screening Policy Making.

PubMed

Jin, Haomiao; Wu, Shinyi; Di Capua, Paul

2015-09-03

Depression is a common but often undiagnosed comorbid condition of people with diabetes. Mass screening can detect undiagnosed depression but may require significant resources and time. The objectives of this study were 1) to develop a clinical forecasting model that predicts comorbid depression among patients with diabetes and 2) to evaluate a model-based screening policy that saves resources and time by screening only patients considered as depressed by the clinical forecasting model. We trained and validated 4 machine learning models by using data from 2 safety-net clinical trials; we chose the one with the best overall predictive ability as the ultimate model. We compared model-based policy with alternative policies, including mass screening and partial screening, on the basis of depression history or diabetes severity. Logistic regression had the best overall predictive ability of the 4 models evaluated and was chosen as the ultimate forecasting model. Compared with mass screening, the model-based policy can save approximately 50% to 60% of provider resources and time but will miss identifying about 30% of patients with depression. Partial-screening policy based on depression history alone found only a low rate of depression. Two other heuristic-based partial screening policies identified depression at rates similar to those of the model-based policy but cost more in resources and time. The depression prediction model developed in this study has compelling predictive ability. By adopting the model-based depression screening policy, health care providers can use their resources and time better and increase their efficiency in managing their patients with depression.

Learning complex temporal patterns with resource-dependent spike timing-dependent plasticity.

PubMed

Hunzinger, Jason F; Chan, Victor H; Froemke, Robert C

2012-07-01

Studies of spike timing-dependent plasticity (STDP) have revealed that long-term changes in the strength of a synapse may be modulated substantially by temporal relationships between multiple presynaptic and postsynaptic spikes. Whereas long-term potentiation (LTP) and long-term depression (LTD) of synaptic strength have been modeled as distinct or separate functional mechanisms, here, we propose a new shared resource model. A functional consequence of our model is fast, stable, and diverse unsupervised learning of temporal multispike patterns with a biologically consistent spiking neural network. Due to interdependencies between LTP and LTD, dendritic delays, and proactive homeostatic aspects of the model, neurons are equipped to learn to decode temporally coded information within spike bursts. Moreover, neurons learn spike timing with few exposures in substantial noise and jitter. Surprisingly, despite having only one parameter, the model also accurately predicts in vitro observations of STDP in more complex multispike trains, as well as rate-dependent effects. We discuss candidate commonalities in natural long-term plasticity mechanisms.

Resource implications of preparing individual participant data from a clinical trial to share with external researchers.

PubMed

Tudur Smith, Catrin; Nevitt, Sarah; Appelbe, Duncan; Appleton, Richard; Dixon, Pete; Harrison, Janet; Marson, Anthony; Williamson, Paula; Tremain, Elizabeth

2017-07-17

Demands are increasingly being made for clinical trialists to actively share individual participant data (IPD) collected from clinical trials using responsible methods that protect the confidentiality and privacy of clinical trial participants. Clinical trialists, particularly those receiving public funding, are often concerned about the additional time and money that data-sharing activities will require, but few published empirical data are available to help inform these decisions. We sought to evaluate the activity and resources required to prepare anonymised IPD from a clinical trial in anticipation of a future data-sharing request. Data from two UK publicly funded clinical trials were used for this exercise: 2437 participants with epilepsy recruited from 90 hospital outpatient clinics in the SANAD trial and 146 children with neuro-developmental problems recruited from 18 hospitals in the MENDS trial. We calculated the time and resources required to prepare each anonymised dataset and assemble a data pack ready for sharing. The older SANAD trial (published 2007) required 50 hours of staff time with a total estimated associated cost of £3185 whilst the more recently completed MENDS trial (published 2012) required 39.5 hours of staff time with total estimated associated cost of £2540. Clinical trial researchers, funders and sponsors should consider appropriate resourcing and allow reasonable time for preparing IPD ready for subsequent sharing. This process would be most efficient if prospectively built into the standard operational design and conduct of a clinical trial. Further empirical examples exploring the resource requirements in other settings is recommended. SANAD: International Standard Randomised Controlled Trials Registry: ISRCTN38354748 . Registered on 25 April 2003. EU Clinical Trials Register Eudract 2006-004025-28 . Registered on 16 May 2007. International Standard Randomised Controlled Trials Registry: ISRCTN05534585 /MREC 07/MRE08/43. Registered on 26 January 2007.

Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE)

PubMed Central

Börsch-Supan, Axel; Brandt, Martina; Hunkler, Christian; Kneip, Thorsten; Korbmacher, Julie; Malter, Frederic; Schaan, Barbara; Stuck, Stephanie; Zuber, Sabrina

2013-01-01

SHARE is a unique panel database of micro data on health, socio-economic status and social and family networks covering most of the European Union and Israel. To date, SHARE has collected three panel waves (2004, 2006, 2010) of current living circumstances and retrospective life histories (2008, SHARELIFE); 6 additional waves are planned until 2024. The more than 150 000 interviews give a broad picture of life after the age of 50 years, measuring physical and mental health, economic and non-economic activities, income and wealth, transfers of time and money within and outside the family as well as life satisfaction and well-being. The data are available to the scientific community free of charge at www.share-project.org after registration. SHARE is harmonized with the US Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA) and has become a role model for several ageing surveys worldwide. SHARE’s scientific power is based on its panel design that grasps the dynamic character of the ageing process, its multidisciplinary approach that delivers the full picture of individual and societal ageing, and its cross-nationally ex-ante harmonized design that permits international comparisons of health, economic and social outcomes in Europe and the USA. PMID:23778574

Building the Scientific Modeling Assistant: An interactive environment for specialized software design

NASA Technical Reports Server (NTRS)

Keller, Richard M.

1991-01-01

The construction of scientific software models is an integral part of doing science, both within NASA and within the scientific community at large. Typically, model-building is a time-intensive and painstaking process, involving the design of very large, complex computer programs. Despite the considerable expenditure of resources involved, completed scientific models cannot easily be distributed and shared with the larger scientific community due to the low-level, idiosyncratic nature of the implemented code. To address this problem, we have initiated a research project aimed at constructing a software tool called the Scientific Modeling Assistant. This tool provides automated assistance to the scientist in developing, using, and sharing software models. We describe the Scientific Modeling Assistant, and also touch on some human-machine interaction issues relevant to building a successful tool of this type.

Integrated secure solution for electronic healthcare records sharing

NASA Astrophysics Data System (ADS)

Yao, Yehong; Zhang, Chenghao; Sun, Jianyong; Jin, Jin; Zhang, Jianguo

2007-03-01

The EHR is a secure, real-time, point-of-care, patient-centric information resource for healthcare providers. Many countries and regional districts have set long-term goals to build EHRs, and most of EHRs are usually built based on the integration of different information systems with different information models and platforms. A number of hospitals in Shanghai are also piloting the development of an EHR solution based on IHE XDS/XDS-I profiles with a service-oriented architecture (SOA). The first phase of the project targets the Diagnostic Imaging domain and allows seamless sharing of images and reports across the multiple hospitals. To develop EHRs for regional coordinated healthcare, some factors should be considered in designing architecture, one of which is security issue. In this paper, we present some approaches and policies to improve and strengthen the security among the different hospitals' nodes, which are compliant with the security requirements defined by IHE IT Infrastructure (ITI) Technical Framework. Our security solution includes four components: Time Sync System (TSS), Digital Signature Manage System (DSMS), Data Exchange Control Component (DECC) and Single Sign-On (SSO) System. We give a design method and implementation strategy of these security components, and then evaluate the performance and overheads of the security services or features by integrating the security components into an image-based EHR system.

An open-source software platform for data management, visualisation, model building and model sharing in water, energy and other resource modelling domains.

NASA Astrophysics Data System (ADS)

Knox, S.; Meier, P.; Mohammed, K.; Korteling, B.; Matrosov, E. S.; Hurford, A.; Huskova, I.; Harou, J. J.; Rosenberg, D. E.; Thilmant, A.; Medellin-Azuara, J.; Wicks, J.

2015-12-01

Capacity expansion on resource networks is essential to adapting to economic and population growth and pressures such as climate change. Engineered infrastructure systems such as water, energy, or transport networks require sophisticated and bespoke models to refine management and investment strategies. Successful modeling of such complex systems relies on good data management and advanced methods to visualize and share data.Engineered infrastructure systems are often represented as networks of nodes and links with operating rules describing their interactions. Infrastructure system management and planning can be abstracted to simulating or optimizing new operations and extensions of the network. By separating the data storage of abstract networks from manipulation and modeling we have created a system where infrastructure modeling across various domains is facilitated.We introduce Hydra Platform, a Free Open Source Software designed for analysts and modelers to store, manage and share network topology and data. Hydra Platform is a Python library with a web service layer for remote applications, called Apps, to connect. Apps serve various functions including network or results visualization, data export (e.g. into a proprietary format) or model execution. This Client-Server architecture allows users to manipulate and share centrally stored data. XML templates allow a standardised description of the data structure required for storing network data such that it is compatible with specific models.Hydra Platform represents networks in an abstract way and is therefore not bound to a single modeling domain. It is the Apps that create domain-specific functionality. Using Apps researchers from different domains can incorporate different models within the same network enabling cross-disciplinary modeling while minimizing errors and streamlining data sharing. Separating the Python library from the web layer allows developers to natively expand the software or build web-based apps in other languages for remote functionality. Partner CH2M is developing a commercial user-interface for Hydra Platform however custom interfaces and visualization tools can be built. Hydra Platform is available on GitHub while Apps will be shared on a central repository.

Data Mashups: Linking Human Health and Wellbeing with Weather, Climate and the Environment

NASA Astrophysics Data System (ADS)

Fleming, L. E.; Sarran, C.; Golding, B.; Haines, A.; Kessel, A.; Djennad, M.; Hajat, S.; Nichols, G.; Gordon Brown, H.; Depledge, M.

2016-12-01

A large part of the global disease burden can be linked to environmental factors, underpinned by unhealthy behaviours. Research into these linkages suffers from lack of common tools and databases for investigations across many different scientific disciplines to explore these complex associations. The MEDMI (Medical and Environmental Data-a Mash-up Infrastructure) Partnership brings together leading organisations and researchers in climate, weather, environment, and human health. We have created a proof-of-concept central data and analysis system with the UK Met Office and Public Health England data as the internet-based MEDMI Platform (www.data-mashup.org.uk) to serve as a common resource for researchers to link and analyse complex meteorological, environmental and epidemiological data in the UK. The Platform is hosted on its own dedicated server, with secure internet and in-person access with appropriate safeguards for ethical, copyright, security, preservation, and data sharing issues. Via the Platform, there is a demonstration Browser Application with access to user-selected subsets of the data for: a) analyses using time series (e.g. mortality/environmental variables), and b) data visualizations (e.g. infectious diseases/environmental variables). One demonstration project is linking climate change, harmful algal blooms and oceanographic modelling building on the hydrodynamic-biogeochemical coupled models; in situ and satellite observations as well as UK HAB data and hospital episode statistics data are being used for model verification and future forecasting. The MEDMI Project provides a demonstration of the potential, barriers and challenges, of these "data mashups" of environment and health data. Although there remain many challenges to creating and sustaining such a shared resource, these activities and resources are essential to truly explore the complex interactions between climate and other environmental change and health at the local and global scale.

Building a Shared Understanding of Phenology

NASA Astrophysics Data System (ADS)

Rosemartin, A.; Posthumus, E.; Gerst, K.

2017-12-01

The USA National Phenology Network (USA-NPN) seeks to advance the science of phenology and support the use of phenology information in decision-making. We envision that natural resource, human health, recreation and land-use decisions, in the context of a variable and changing climate, will be supported by USA-NPN products and tools. To achieve this vision we developed a logic model, breaking down the necessary inputs (e.g., IT infrastructure), participants, activities and the short- to long-term goals (e.g., use of phenological information in adaptive management). Here we compare the ongoing activities and outcomes of three recent collaborations to our logic model, in order to improve the model and inform future collaborations. At Midway Atoll National Wildlife Refuge, resource managers use the USA-NPN's phenology monitoring program to pinpoint the minimum number of days between initial growth and seed set in an invasive species. The data output and calendar visualizations that USA-NPN provides are sufficient to identify the appropriate treatment window. In contrast to a direct relationship with a natural resource manager using USA-NPN tools and products, some collaborations require substantive iterative work between partners. USA-NPN and National Park Service staff, along with academic researchers, assessed advancement in the timing of spring, and delivered the work in a format appropriate for park managers. Lastly, collaborations with indigenous communities reveal a requirement to reconsider the relationship between Western science and indigenous knowledge systems, as well as address ethical considerations and develop trust, before Western science can be meaningfully incorporated into decision-making. While the USA-NPN is a boundary organization, working in between federal agencies, states and universities, and is mandated to support decision-making, we still face challenges in generating usable science. We share lessons learned based on our experience with diverse and evolving partnerships.

An analysis of factors affecting participation behavior of limited resource farmers in agricultural cost-share programs in Alabama

Treesearch

Okwudili Onianwa; Gerald Wheelock; Buddhi Gyawali; Jianbang Gan; Mark Dubois; John Schelhas

2004-01-01

This study examines factors that affect the participation behavior of limited resource farmers in agricultural cost-share programs in Alabama. The data were generated from a survey administered to a sample of limited resource farm operators. A binary logit model was employed to analyze the data. Results indicate that college education, age, gross sales, ratio of owned...

[A basic research to share Fourier transform near-infrared spectrum information resource].

PubMed

Zhang, Lu-Da; Li, Jun-Hui; Zhao, Long-Lian; Zhao, Li-Li; Qin, Fang-Li; Yan, Yan-Lu

2004-08-01

A method to share the information resource in the database of Fourier transform near-infrared(FTNIR) spectrum information of agricultural products and utilize the spectrum information sufficiently is explored in this paper. Mapping spectrum information from one instrument to another is studied to express the spectrum information accurately between the instruments. Then mapping spectrum information is used to establish a mathematical model of quantitative analysis without including standard samples. The analysis result is that the relative coefficient r is 0.941 and the relative error is 3.28% between the model estimate values and the Kjeldahl's value for the protein content of twenty-two wheat samples, while the relative coefficient r is 0.963 and the relative error is 2.4% for the other model, which is established by using standard samples. It is shown that the spectrum information can be shared by using the mapping spectrum information. So it can be concluded that the spectrum information in one FTNIR spectrum information database can be transformed to another instrument's mapping spectrum information, which makes full use of the information resource in the database of FTNIR spectrum information to realize the resource sharing between different instruments.

An incremental anomaly detection model for virtual machines.

PubMed

Zhang, Hancui; Chen, Shuyu; Liu, Jun; Zhou, Zhen; Wu, Tianshu

2017-01-01

Self-Organizing Map (SOM) algorithm as an unsupervised learning method has been applied in anomaly detection due to its capabilities of self-organizing and automatic anomaly prediction. However, because of the algorithm is initialized in random, it takes a long time to train a detection model. Besides, the Cloud platforms with large scale virtual machines are prone to performance anomalies due to their high dynamic and resource sharing characters, which makes the algorithm present a low accuracy and a low scalability. To address these problems, an Improved Incremental Self-Organizing Map (IISOM) model is proposed for anomaly detection of virtual machines. In this model, a heuristic-based initialization algorithm and a Weighted Euclidean Distance (WED) algorithm are introduced into SOM to speed up the training process and improve model quality. Meanwhile, a neighborhood-based searching algorithm is presented to accelerate the detection time by taking into account the large scale and high dynamic features of virtual machines on cloud platform. To demonstrate the effectiveness, experiments on a common benchmark KDD Cup dataset and a real dataset have been performed. Results suggest that IISOM has advantages in accuracy and convergence velocity of anomaly detection for virtual machines on cloud platform.

An incremental anomaly detection model for virtual machines

PubMed Central

Zhang, Hancui; Chen, Shuyu; Liu, Jun; Zhou, Zhen; Wu, Tianshu

2017-01-01

Self-Organizing Map (SOM) algorithm as an unsupervised learning method has been applied in anomaly detection due to its capabilities of self-organizing and automatic anomaly prediction. However, because of the algorithm is initialized in random, it takes a long time to train a detection model. Besides, the Cloud platforms with large scale virtual machines are prone to performance anomalies due to their high dynamic and resource sharing characters, which makes the algorithm present a low accuracy and a low scalability. To address these problems, an Improved Incremental Self-Organizing Map (IISOM) model is proposed for anomaly detection of virtual machines. In this model, a heuristic-based initialization algorithm and a Weighted Euclidean Distance (WED) algorithm are introduced into SOM to speed up the training process and improve model quality. Meanwhile, a neighborhood-based searching algorithm is presented to accelerate the detection time by taking into account the large scale and high dynamic features of virtual machines on cloud platform. To demonstrate the effectiveness, experiments on a common benchmark KDD Cup dataset and a real dataset have been performed. Results suggest that IISOM has advantages in accuracy and convergence velocity of anomaly detection for virtual machines on cloud platform. PMID:29117245

Development of a consent resource for genomic data sharing in the clinical setting.

PubMed

Riggs, Erin Rooney; Azzariti, Danielle R; Niehaus, Annie; Goehringer, Scott R; Ramos, Erin M; Rodriguez, Laura Lyman; Knoppers, Bartha; Rehm, Heidi L; Martin, Christa Lese

2018-06-13

Data sharing between clinicians, laboratories, and patients is essential for improvements in genomic medicine, but obtaining consent for individual-level data sharing is often hindered by a lack of time and resources. To address this issue, the Clinical Genome Resource (ClinGen) developed tools to facilitate consent, including a one-page consent form and online supplemental video with information on key topics, such as risks and benefits of data sharing. To determine whether the consent form and video accurately conveyed key data sharing concepts, we surveyed 5,162 members of the general public. We measured comprehension at baseline, after reading the form and watching the video. Additionally, we assessed participants' attitudes toward genomic data sharing. Participants' performance on comprehension questions significantly improved over baseline after reading the form and continued to improve after watching the video. Results suggest reading the form alone provided participants with important knowledge regarding broad data sharing, and watching the video allowed for broader comprehension. These materials are now available at http://www.clinicalgenome.org/share . These resources will provide patients a straightforward way to share their genetic and health information, and improve the scientific community's access to data generated through routine healthcare.

The demands and resources arising from shared office spaces.

PubMed

Morrison, Rachel L; Macky, Keith A

2017-04-01

The prevalence of flexible and shared office spaces is increasing significantly, yet the socioemotional outcomes associated with these environments are under researched. Utilising the job demands-resources (JD-R) model we investigate both the demands and the resources that can accrue to workers as a result of shared work environments and hot-desking. Data were collected from work experienced respondents (n = 1000) assessing the extent to which they shared their office space with others, along with demands comprising distractions, uncooperative behaviours, distrust, and negative relationships, and resources from co-worker friendships and supervisor support. We found that, as work environments became more shared (with hot-desking being at the extreme end of the continuum), not only were there increases in demands, but co-worker friendships were not improved and perceptions of supervisory support decreased. Findings are discussed in relation to employee well-being and recommendations are made regarding how best to ameliorate negative consequences of shared work environments. Copyright © 2016 Elsevier Ltd. All rights reserved.

A Gossip-Based Optimistic Replication for Efficient Delay-Sensitive Streaming Using an Interactive Middleware Support System

NASA Astrophysics Data System (ADS)

Mavromoustakis, Constandinos X.; Karatza, Helen D.

2010-06-01

While sharing resources the efficiency is substantially degraded as a result of the scarceness of availability of the requested resources in a multiclient support manner. These resources are often aggravated by many factors like the temporal constraints for availability or node flooding by the requested replicated file chunks. Thus replicated file chunks should be efficiently disseminated in order to enable resource availability on-demand by the mobile users. This work considers a cross layered middleware support system for efficient delay-sensitive streaming by using each device's connectivity and social interactions in a cross layered manner. The collaborative streaming is achieved through the epidemically replicated file chunk policy which uses a transition-based approach of a chained model of an infectious disease with susceptible, infected, recovered and death states. The Gossip-based stateful model enforces the mobile nodes whether to host a file chunk or not or, when no longer a chunk is needed, to purge it. The proposed model is thoroughly evaluated through experimental simulation taking measures for the effective throughput Eff as a function of the packet loss parameter in contrast with the effectiveness of the replication Gossip-based policy.

Risk Information Management Resource (RIMR): modeling an approach to defending against military medical information assurance brain drain

NASA Astrophysics Data System (ADS)

Wright, Willie E.

2003-05-01

As Military Medical Information Assurance organizations face off with modern pressures to downsize and outsource, they battle with losing knowledgeable people who leave and take with them what they know. This knowledge is increasingly being recognized as an important resource and organizations are now taking steps to manage it. In addition, as the pressures for globalization (Castells, 1998) increase, collaboration and cooperation are becoming more distributed and international. Knowledge sharing in a distributed international environment is becoming an essential part of Knowledge Management. This is a major shortfall in the current approach to capturing and sharing knowledge in Military Medical Information Assurance. This paper addresses this challenge by exploring Risk Information Management Resource (RIMR) as a tool for sharing knowledge using the concept of Communities of Practice. RIMR is based no the framework of sharing and using knowledge. This concept is done through three major components - people, process and technology. The people aspect enables remote collaboration, support communities of practice, reward and recognize knowledge sharing while encouraging storytelling. The process aspect enhances knowledge capture and manages information. While the technology aspect enhance system integration and data mining, it also utilizes intelligent agents and exploits expert systems. These coupled with supporting activities of education and training, technology infrastructure and information security enables effective information assurance collaboration.

Enabling Discoveries in Earth Sciences Through the Geosciences Network (GEON)

NASA Astrophysics Data System (ADS)

Seber, D.; Baru, C.; Memon, A.; Lin, K.; Youn, C.

2005-12-01

Taking advantage of the state-of-the-art information technology resources GEON researchers are building a cyberinfrastructure designed to enable data sharing, semantic data integration, high-end computations and 4D visualization in easy-to-use web-based environments. The GEON Network currently allows users to search and register Earth science resources such as data sets (GIS layers, GMT files, geoTIFF images, ASCII files, relational databases etc), software applications or ontologies. Portal based access mechanisms enable developers to built dynamic user interfaces to conduct advanced processing and modeling efforts across distributed computers and supercomputers. Researchers and educators can access the networked resources through the GEON portal and its portlets that were developed to conduct better and more comprehensive science and educational studies. For example, the SYNSEIS portlet in GEON enables users to access in near-real time seismic waveforms from the IRIS Data Management Center, easily build a 3D geologic model within the area of the seismic station(s) and the epicenter and perform a 3D synthetic seismogram analysis to understand the lithospheric structure and earthquake source parameters for any given earthquake in the US. Similarly, GEON's workbench area enables users to create their own work environment and copy, visualize and analyze any data sets within the network, and create subsets of the data sets for their own purposes. Since all these resources are built as part of a Service-oriented Architecture (SOA), they are also used in other development platforms. One such platform is Kepler Workflow system which can access web service based resources and provides users with graphical programming interfaces to build a model to conduct computations and/or visualization efforts using the networked resources. Developments in the area of semantic integration of the networked datasets continue to advance and prototype studies can be accessed via the GEON portal at www.geongrid.org

C3: A Collaborative Web Framework for NASA Earth Exchange

NASA Astrophysics Data System (ADS)

Foughty, E.; Fattarsi, C.; Hardoyo, C.; Kluck, D.; Wang, L.; Matthews, B.; Das, K.; Srivastava, A.; Votava, P.; Nemani, R. R.

2010-12-01

The NASA Earth Exchange (NEX) is a new collaboration platform for the Earth science community that provides a mechanism for scientific collaboration and knowledge sharing. NEX combines NASA advanced supercomputing resources, Earth system modeling, workflow management, NASA remote sensing data archives, and a collaborative communication platform to deliver a complete work environment in which users can explore and analyze large datasets, run modeling codes, collaborate on new or existing projects, and quickly share results among the Earth science communities. NEX is designed primarily for use by the NASA Earth science community to address scientific grand challenges. The NEX web portal component provides an on-line collaborative environment for sharing of Eearth science models, data, analysis tools and scientific results by researchers. In addition, the NEX portal also serves as a knowledge network that allows researchers to connect and collaborate based on the research they are involved in, specific geographic area of interest, field of study, etc. Features of the NEX web portal include: Member profiles, resource sharing (data sets, algorithms, models, publications), communication tools (commenting, messaging, social tagging), project tools (wikis, blogs) and more. The NEX web portal is built on the proven technologies and policies of DASHlink.arc.nasa.gov, (one of NASA's first science social media websites). The core component of the web portal is a C3 framework, which was built using Django and which is being deployed as a common framework for a number of collaborative sites throughout NASA.

A Hierarchical Auction-Based Mechanism for Real-Time Resource Allocation in Cloud Robotic Systems.

PubMed

Wang, Lujia; Liu, Ming; Meng, Max Q-H

2017-02-01

Cloud computing enables users to share computing resources on-demand. The cloud computing framework cannot be directly mapped to cloud robotic systems with ad hoc networks since cloud robotic systems have additional constraints such as limited bandwidth and dynamic structure. However, most multirobotic applications with cooperative control adopt this decentralized approach to avoid a single point of failure. Robots need to continuously update intensive data to execute tasks in a coordinated manner, which implies real-time requirements. Thus, a resource allocation strategy is required, especially in such resource-constrained environments. This paper proposes a hierarchical auction-based mechanism, namely link quality matrix (LQM) auction, which is suitable for ad hoc networks by introducing a link quality indicator. The proposed algorithm produces a fast and robust method that is accurate and scalable. It reduces both global communication and unnecessary repeated computation. The proposed method is designed for firm real-time resource retrieval for physical multirobot systems. A joint surveillance scenario empirically validates the proposed mechanism by assessing several practical metrics. The results show that the proposed LQM auction outperforms state-of-the-art algorithms for resource allocation.

FPGA implementation of a biological neural network based on the Hodgkin-Huxley neuron model.

PubMed

Yaghini Bonabi, Safa; Asgharian, Hassan; Safari, Saeed; Nili Ahmadabadi, Majid

2014-01-01

A set of techniques for efficient implementation of Hodgkin-Huxley-based (H-H) model of a neural network on FPGA (Field Programmable Gate Array) is presented. The central implementation challenge is H-H model complexity that puts limits on the network size and on the execution speed. However, basics of the original model cannot be compromised when effect of synaptic specifications on the network behavior is the subject of study. To solve the problem, we used computational techniques such as CORDIC (Coordinate Rotation Digital Computer) algorithm and step-by-step integration in the implementation of arithmetic circuits. In addition, we employed different techniques such as sharing resources to preserve the details of model as well as increasing the network size in addition to keeping the network execution speed close to real time while having high precision. Implementation of a two mini-columns network with 120/30 excitatory/inhibitory neurons is provided to investigate the characteristic of our method in practice. The implementation techniques provide an opportunity to construct large FPGA-based network models to investigate the effect of different neurophysiological mechanisms, like voltage-gated channels and synaptic activities, on the behavior of a neural network in an appropriate execution time. Additional to inherent properties of FPGA, like parallelism and re-configurability, our approach makes the FPGA-based system a proper candidate for study on neural control of cognitive robots and systems as well.

Sustainability in health care by allocating resources effectively (SHARE) 4: exploring opportunities and methods for consumer engagement in resource allocation in a local healthcare setting.

PubMed

Harris, Claire; Ko, Henry; Waller, Cara; Sloss, Pamela; Williams, Pamela

2017-05-05

This is the fourth in a series of papers reporting a program of Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. Healthcare decision-makers have sought to improve the effectiveness and efficiency of services through removal or restriction of practices that are unsafe or of little benefit, often referred to as 'disinvestment'. A systematic, integrated, evidence-based program for disinvestment was being established within a large Australian health service network. Consumer engagement was acknowledged as integral to this process. This paper reports the process of developing a model to integrate consumer views and preferences into an organisation-wide approach to resource allocation. A literature search was conducted and interviews and workshops were undertaken with health service consumers and staff. Findings were drafted into a model for consumer engagement in resource allocation which was workshopped and refined. Although consumer engagement is increasingly becoming a requirement of publicly-funded health services and documented in standards and policies, participation in organisational decision-making is not widespread. Several consistent messages for consumer engagement in this context emerged from the literature and consumer responses. Opportunities, settings and activities for consumer engagement through communication, consultation and participation were identified within the resource allocation process. Sources of information regarding consumer values and perspectives in publications and locally-collected data, and methods to use them in health service decision-making, were identified. A model bringing these elements together was developed. The proposed model presents potential opportunities and activities for consumer engagement in the context of resource allocation.

A methodology toward manufacturing grid-based virtual enterprise operation platform

NASA Astrophysics Data System (ADS)

Tan, Wenan; Xu, Yicheng; Xu, Wei; Xu, Lida; Zhao, Xianhua; Wang, Li; Fu, Liuliu

2010-08-01

Virtual enterprises (VEs) have become one of main types of organisations in the manufacturing sector through which the consortium companies organise their manufacturing activities. To be competitive, a VE relies on the complementary core competences among members through resource sharing and agile manufacturing capacity. Manufacturing grid (M-Grid) is a platform in which the production resources can be shared. In this article, an M-Grid-based VE operation platform (MGVEOP) is presented as it enables the sharing of production resources among geographically distributed enterprises. The performance management system of the MGVEOP is based on the balanced scorecard and has the capacity of self-learning. The study shows that a MGVEOP can make a semi-automated process possible for a VE, and the proposed MGVEOP is efficient and agile.

Building and Sustaining International Scientific Partnerships Through Data Sharing

NASA Astrophysics Data System (ADS)

Ramamurthy, M. K.; Yoksas, T.

2008-05-01

Understanding global environmental processes and their regional linkages has heightened the importance of strong international scientific partnerships. At the same time, the Internet and its myriad manifestations, along with innovative web services, have amply demonstrated the compounding benefits of cyberinfrastructure and the power of networked communities. The increased globalization of science, especially in solving interdisciplinary Earth system science problems, requires that science be conducted collaboratively by distributed teams of investigators, often involving sharing of knowledge and resources like community models and other tools. The climate system, for example, is far too complex a puzzle to be unraveled by individual investigators or nations. Its understanding requires finding, collecting, integrating, and assimilating data from observations and model simulations from diverse fields and across traditional disciplinary boundaries. For the past two decades, the NSF-sponsored Unidata Program Center has been providing the data services, tools, and cyberinfrastructure leadership that advance Earth system science education and research, and enabled opportunities for broad participation. Beginning as a collection of US-based, mostly atmospheric science departments, the Unidata community now transcends international boundaries and geoscience disciplines. Today, Unidata technologies are used in many countries on all continents in research, education and operational settings, and in many international projects (e.g., IPCC assessments, International Polar Year, and THORPEX). The program places high value on the transformational changes enabled by such international scientific partnerships and continually provides opportunities to share knowledge, data, tools and other resources to advance geoscience research and education. This talk will provide an overview of Unidata's ongoing efforts to foster to international scientific partnerships toward building a globally-engaged community of educators and researchers in the geosciences. The presentation will discuss how developments in Earth and Space Science Informatics are enabling new approaches to solving geoscientific problems. The presentation will also describe how Unidata resources are being leveraged by broader initiatives in UCAR and elsewhere.

The Path of New Information Technology Affecting Educational Equality in the New Digital Divide--Based on Information System Success Model

ERIC Educational Resources Information Center

Zheng, Qian; Liang, Chang-Yong

2017-01-01

New information technology (new IT) plays an increasingly important role in the field of education, which greatly enriches the teaching means and promotes the sharing of education resources. However, because of the New Digital Divide existing, the impact of new IT on educational equality has yet to be discussed. Based on Information System Success…

The structural approach to shared knowledge: an application to engineering design teams.

PubMed

Avnet, Mark S; Weigel, Annalisa L

2013-06-01

We propose a methodology for analyzing shared knowledge in engineering design teams. Whereas prior work has focused on shared knowledge in small teams at a specific point in time, the model presented here is both scalable and dynamic. By quantifying team members' common views of design drivers, we build a network of shared mental models to reveal the structure of shared knowledge at a snapshot in time. Based on a structural comparison of networks at different points in time, a metric of change in shared knowledge is computed. Analysis of survey data from 12 conceptual space mission design sessions reveals a correlation between change in shared knowledge and each of several system attributes, including system development time, system mass, and technological maturity. From these results, we conclude that an early period of learning and consensus building could be beneficial to the design of engineered systems. Although we do not examine team performance directly, we demonstrate that shared knowledge is related to the technical design and thus provide a foundation for improving design products by incorporating the knowledge and thoughts of the engineering design team into the process.

Discrete event command and control for networked teams with multiple missions

NASA Astrophysics Data System (ADS)

Lewis, Frank L.; Hudas, Greg R.; Pang, Chee Khiang; Middleton, Matthew B.; McMurrough, Christopher

2009-05-01

During mission execution in military applications, the TRADOC Pamphlet 525-66 Battle Command and Battle Space Awareness capabilities prescribe expectations that networked teams will perform in a reliable manner under changing mission requirements, varying resource availability and reliability, and resource faults. In this paper, a Command and Control (C2) structure is presented that allows for computer-aided execution of the networked team decision-making process, control of force resources, shared resource dispatching, and adaptability to change based on battlefield conditions. A mathematically justified networked computing environment is provided called the Discrete Event Control (DEC) Framework. DEC has the ability to provide the logical connectivity among all team participants including mission planners, field commanders, war-fighters, and robotic platforms. The proposed data management tools are developed and demonstrated on a simulation study and an implementation on a distributed wireless sensor network. The results show that the tasks of multiple missions are correctly sequenced in real-time, and that shared resources are suitably assigned to competing tasks under dynamically changing conditions without conflicts and bottlenecks.

Dissociation of performance and subjective measures of workload

NASA Technical Reports Server (NTRS)

Yeh, Yei-Yu; Wickens, Christopher D.

1988-01-01

A theory is presented to identify sources that produce dissociations between performance and subjective measures of workload. The theory states that performance is determined by (1) amount of resources invested, (2) resource efficiency, and (3) degree of competition for common resources in a multidimensional space described in the multiple-resources model. Subjective perception of workload, multidimensional in nature, increases with greater amounts of resource investment and with greater demands on working memory. Performance and subjective workload measures dissociate when greater resources are invested to improve performance of a resource-limited task; when demands on working memory are increased by time-sharing between concurrent tasks or between display elements; and when performance is sensitive to resource competition and subjective measures are more sensitive to total investment. These dissociation findings and their implications are discussed and directions for future research are suggested.

A Macro- and Micro-Examination of Family Power and Love: An Exchange Model

ERIC Educational Resources Information Center

Safilios-Rothschild, Constantina

1976-01-01

Greek families were analyzed in terms of resources available to husband and wife. An important resource was the amount of spouse's love. The more husbands loved wives, and the less wives loved husbands, the more power was shared. Power sharing was not common when both spouses were college educated. (NG)

GIS model-based real-time hydrological forecasting and operation management system for the Lake Balaton and its watershed

NASA Astrophysics Data System (ADS)

Adolf Szabó, János; Zoltán Réti, Gábor; Tóth, Tünde

2017-04-01

Today, the most significant mission of the decision makers on integrated water management issues is to carry out sustainable management for sharing the resources between a variety of users and the environment under conditions of considerable uncertainty (such as climate/land-use/population/etc. change) conditions. In light of this increasing water management complexity, we consider that the most pressing needs is to develop and implement up-to-date GIS model-based real-time hydrological forecasting and operation management systems for aiding decision-making processes to improve water management. After years of researches and developments the HYDROInform Ltd. has developed an integrated, on-line IT system (DIWA-HFMS: DIstributed WAtershed - Hydrologyc Forecasting & Modelling System) which is able to support a wide-ranging of the operational tasks in water resources management such as: forecasting, operation of lakes and reservoirs, water-control and management, etc. Following a test period, the DIWA-HFMS has been implemented for the Lake Balaton and its watershed (in 500 m resolution) at Central-Transdanubian Water Directorate (KDTVIZIG). The significant pillars of the system are: - The DIWA (DIstributed WAtershed) hydrologic model, which is a 3D dynamic water-balance model that distributed both in space and its parameters, and which was developed along combined principles but its mostly based on physical foundations. The DIWA integrates 3D soil-, 2D surface-, and 1D channel-hydraulic components as well. - Lakes and reservoir-operating component; - Radar-data integration module; - fully online data collection tools; - scenario manager tool to create alternative scenarios, - interactive, intuitive, highly graphical user interface. In Vienna, the main functions, operations and results-management of the system will be presented.

Combining the CIDOC CRM and MPEG-7 to Describe Multimedia in Museums.

ERIC Educational Resources Information Center

Hunter, Jane

This paper describes a proposal for an interoperable metadata model, based on international standards, that has been designed to enable the description, exchange and sharing of multimedia resources both within and between cultural institutions. Domain-specific ontologies have been developed by two different ISO Working Groups to standardize the…

Risk Reduction and Resource Pooling on a Cooperation Task

ERIC Educational Resources Information Center

Pietras, Cynthia J.; Cherek, Don R.; Lane, Scott D.; Tcheremissine, Oleg

2006-01-01

Two experiments investigated choice in adult humans on a simulated cooperation task to evaluate a risk-reduction account of sharing based on the energy-budget rule. The energy-budget rule is an optimal foraging model that predicts risk-averse choices when net energy gains exceed energy requirements (positive energy budget) and risk-prone choices…

An Open Software Platform for Sharing Water Resource Models, Code and Data

NASA Astrophysics Data System (ADS)

Knox, Stephen; Meier, Philipp; Mohamed, Khaled; Korteling, Brett; Matrosov, Evgenii; Huskova, Ivana; Harou, Julien; Rosenberg, David; Tilmant, Amaury; Medellin-Azuara, Josue; Wicks, Jon

2016-04-01

The modelling of managed water resource systems requires new approaches in the face of increasing future uncertainty. Water resources management models, even if applied to diverse problem areas, use common approaches such as representing the problem as a network of nodes and links. We propose a data management software platform, called Hydra, that uses this commonality to allow multiple models using a node-link structure to be managed and run using a single software system. Hydra's user interface allows users to manage network topology and associated data. Hydra feeds this data directly into a model, importing from and exporting to different file formats using Apps. An App connects Hydra to a custom model, a modelling system such as GAMS or MATLAB or to different file formats such as MS Excel, CSV and ESRI Shapefiles. Hydra allows users to manage their data in a single, consistent place. Apps can be used to run domain-specific models and allow users to work with their own required file formats. The Hydra App Store offers a collaborative space where model developers can publish, review and comment on Apps, models and data. Example Apps and open-source libraries are available in a variety of languages (Python, Java and .NET). The App Store can act as a hub for water resource modellers to view and share Apps, models and data easily. This encourages an ecosystem of development using a shared platform, resulting in more model integration and potentially greater unity within resource modelling communities. www.hydraplatform.org www.hydraappstore.com

Bridging Hydroinformatics Services Between HydroShare and SWATShare

NASA Astrophysics Data System (ADS)

Merwade, V.; Zhao, L.; Song, C. X.; Tarboton, D. G.; Goodall, J. L.; Stealey, M.; Rajib, A.; Morsy, M. M.; Dash, P. K.; Miles, B.; Kim, I. L.

2016-12-01

Many cyberinfrastructure systems in the hydrologic and related domains emerged in the past decade with more being developed to address various data management and modeling needs. Although clearly beneficial to the broad user community, it is a challenging task to build interoperability across these systems due to various obstacles including technological, organizational, semantic, and social issues. This work presents our experience in developing interoperability between two hydrologic cyberinfrastructure systems - SWATShare and HydroShare. HydroShare is a large-scale online system aiming at enabling the hydrologic user community to share their data, models, and analysis online for solving complex hydrologic research questions. On the other side, SWATShare is a focused effort to allow SWAT (Soil and Water Assessment Tool) modelers share, execute and analyze SWAT models using high performance computing resources. Making these two systems interoperable required common sign-in through OAuth, sharing of models through common metadata standards and use of standard web-services for implementing key import/export functionalities. As a result, users from either community can leverage the resources and services across these systems without having to manually importing, exporting, or processing their models. Overall, this use case is an example that can serve as a model for the interoperability among other systems as no one system can provide all the functionality needed to address large interdisciplinary problems.

Resource utilization model for the algorithm to architecture mapping model

NASA Technical Reports Server (NTRS)

Stoughton, John W.; Patel, Rakesh R.

1993-01-01

The analytical model for resource utilization and the variable node time and conditional node model for the enhanced ATAMM model for a real-time data flow architecture are presented in this research. The Algorithm To Architecture Mapping Model, ATAMM, is a Petri net based graph theoretic model developed at Old Dominion University, and is capable of modeling the execution of large-grained algorithms on a real-time data flow architecture. Using the resource utilization model, the resource envelope may be obtained directly from a given graph and, consequently, the maximum number of required resources may be evaluated. The node timing diagram for one iteration period may be obtained using the analytical resource envelope. The variable node time model, which describes the change in resource requirement for the execution of an algorithm under node time variation, is useful to expand the applicability of the ATAMM model to heterogeneous architectures. The model also describes a method of detecting the presence of resource limited mode and its subsequent prevention. Graphs with conditional nodes are shown to be reduced to equivalent graphs with time varying nodes and, subsequently, may be analyzed using the variable node time model to determine resource requirements. Case studies are performed on three graphs for the illustration of applicability of the analytical theories.

A new workforce in the making? A case study of strategic human resource management in a whole-system change effort in healthcare.

PubMed

Macfarlane, Fraser; Greenhalgh, Trish; Humphrey, Charlotte; Hughes, Jane; Butler, Ceri; Pawson, Ray

2011-01-01

This paper seeks to describe the exploration of human resource issues in one large-scale program of innovation in healthcare. It is informed by established theories of management in the workplace and a multi-level model of diffusion of innovations. A realist approach was used based on interviews, ethnographic observation and documentary analysis. Five main approaches ("theories of change") were adopted to develop and support the workforce: recruiting staff with skills in service transformation; redesigning roles and creating new roles; enhancing workforce planning; linking staff development to service needs; creating opportunities for shared learning and knowledge exchange. Each had differing levels of success. The paper includes HR implications for the modernisation of a complex service organisation. This is the first time a realist evaluation of a complex health modernisation initiative has been undertaken.

The dual impact of ecology and management on social incentives in marine common-pool resource systems.

PubMed

Klein, E S; Barbier, M R; Watson, J R

2017-08-01

Understanding how and when cooperative human behaviour forms in common-pool resource systems is critical to illuminating social-ecological systems and designing governance institutions that promote sustainable resource use. Before assessing the full complexity of social dynamics, it is essential to understand, concretely and mechanistically, how resource dynamics and human actions interact to create incentives and pay-offs for social behaviours. Here, we investigated how such incentives for information sharing are affected by spatial dynamics and management in a common-pool resource system. Using interviews with fishermen to inform an agent-based model, we reveal generic mechanisms through which, for a given ecological setting characterized by the spatial dynamics of the resource, the two 'human factors' of information sharing and management may heterogeneously impact various members of a group for whom theory would otherwise predict the same strategy. When users can deplete the resource, these interactions are further affected by the management approach. Finally, we discuss the implications of alternative motivations, such as equity among fishermen and consistency of the fleet's output. Our results indicate that resource spatial dynamics, form of management and level of depletion can interact to alter the sociality of people in common-pool resource systems, providing necessary insight for future study of strategic decision processes.

Sustainability in Health care by Allocating Resources Effectively (SHARE) 5: developing a model for evidence-driven resource allocation in a local healthcare setting.

PubMed

Harris, Claire; Allen, Kelly; Waller, Cara; Green, Sally; King, Richard; Ramsey, Wayne; Kelly, Cate; Thiagarajan, Malar

2017-05-10

This is the fifth in a series of papers reporting Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. This paper synthesises the findings from Phase One of the SHARE Program and presents a model to be implemented and evaluated in Phase Two. Monash Health, a large healthcare network in Melbourne Australia, sought to establish an organisation-wide systematic evidence-based program for disinvestment. In the absence of guidance from the literature, the Centre for Clinical Effectiveness, an in-house 'Evidence Based Practice Support Unit', was asked to explore concepts and practices related to disinvestment, consider the implications for a local health service and identify potential settings and methods for decision-making. Mixed methods were used to capture the relevant information. These included literature reviews; online questionnaire, interviews and structured workshops with a range of stakeholders; and consultation with experts in disinvestment, health economics and health program evaluation. Using the principles of evidence-based change, the project team worked with health service staff, consumers and external experts to synthesise the findings from published literature and local research and develop proposals, frameworks and plans. Multiple influencing factors were extracted from these findings. The implications were both positive and negative and addressed aspects of the internal and external environments, human factors, empirical decision-making, and practical applications. These factors were considered in establishment of the new program; decisions reached through consultation with stakeholders were used to define four program components, their aims and objectives, relationships between components, principles that underpin the program, implementation and evaluation plans, and preconditions for success and sustainability. The components were Systems and processes, Disinvestment projects, Support services, and Program evaluation and research. A model for a systematic approach to evidence-based resource allocation in a local health service was developed. A robust evidence-based investigation of the research literature and local knowledge with a range of stakeholders resulted in rich information with strong consistent messages. At the completion of Phase One, synthesis of the findings enabled development of frameworks and plans and all preconditions for exploration of the four main aims in Phase Two were met.

Economic models for management of resources in peer-to-peer and grid computing

NASA Astrophysics Data System (ADS)

Buyya, Rajkumar; Stockinger, Heinz; Giddy, Jonathan; Abramson, David

2001-07-01

The accelerated development in Peer-to-Peer (P2P) and Grid computing has positioned them as promising next generation computing platforms. They enable the creation of Virtual Enterprises (VE) for sharing resources distributed across the world. However, resource management, application development and usage models in these environments is a complex undertaking. This is due to the geographic distribution of resources that are owned by different organizations or peers. The resource owners of each of these resources have different usage or access policies and cost models, and varying loads and availability. In order to address complex resource management issues, we have proposed a computational economy framework for resource allocation and for regulating supply and demand in Grid computing environments. The framework provides mechanisms for optimizing resource provider and consumer objective functions through trading and brokering services. In a real world market, there exist various economic models for setting the price for goods based on supply-and-demand and their value to the user. They include commodity market, posted price, tenders and auctions. In this paper, we discuss the use of these models for interaction between Grid components in deciding resource value and the necessary infrastructure to realize them. In addition to normal services offered by Grid computing systems, we need an infrastructure to support interaction protocols, allocation mechanisms, currency, secure banking, and enforcement services. Furthermore, we demonstrate the usage of some of these economic models in resource brokering through Nimrod/G deadline and cost-based scheduling for two different optimization strategies on the World Wide Grid (WWG) testbed that contains peer-to-peer resources located on five continents: Asia, Australia, Europe, North America, and South America.

Language influences music harmony perception: effects of shared syntactic integration resources beyond attention

PubMed Central

Willems, Roel M.; Hagoort, Peter

2016-01-01

Many studies have revealed shared music–language processing resources by finding an influence of music harmony manipulations on concurrent language processing. However, the nature of the shared resources has remained ambiguous. They have been argued to be syntax specific and thus due to shared syntactic integration resources. An alternative view regards them as related to general attention and, thus, not specific to syntax. The present experiments evaluated these accounts by investigating the influence of language on music. Participants were asked to provide closure judgements on harmonic sequences in order to assess the appropriateness of sequence endings. At the same time participants read syntactic garden-path sentences. Closure judgements revealed a change in harmonic processing as the result of reading a syntactically challenging word. We found no influence of an arithmetic control manipulation (experiment 1) or semantic garden-path sentences (experiment 2). Our results provide behavioural evidence for a specific influence of linguistic syntax processing on musical harmony judgements. A closer look reveals that the shared resources appear to be needed to hold a harmonic key online in some form of syntactic working memory or unification workspace related to the integration of chords and words. Overall, our results support the syntax specificity of shared music–language processing resources. PMID:26998339

The dynamic influence of human resources on evidence-based intervention sustainability and population outcomes: an agent-based modeling approach.

PubMed

McKay, Virginia R; Hoffer, Lee D; Combs, Todd B; Margaret Dolcini, M

2018-06-05

Sustaining evidence-based interventions (EBIs) is an ongoing challenge for dissemination and implementation science in public health and social services. Characterizing the relationship among human resource capacity within an agency and subsequent population outcomes is an important step to improving our understanding of how EBIs are sustained. Although human resource capacity and population outcomes are theoretically related, examining them over time within real-world experiments is difficult. Simulation approaches, especially agent-based models, offer advantages that complement existing methods. We used an agent-based model to examine the relationships among human resources, EBI delivery, and population outcomes by simulating provision of an EBI through a hypothetical agency and its staff. We used data from existing studies examining a widely implemented HIV prevention intervention to inform simulation design, calibration, and validity. Once we developed a baseline model, we used the model as a simulated laboratory by systematically varying three human resource variables: the number of staff positions, the staff turnover rate, and timing in training. We tracked the subsequent influence on EBI delivery and the level of population risk over time to describe the overall and dynamic relationships among these variables. Higher overall levels of human resource capacity at an agency (more positions) led to more extensive EBI delivery over time and lowered population risk earlier in time. In simulations representing the typical human resource investments, substantial influences on population risk were visible after approximately 2 years and peaked around 4 years. Human resources, especially staff positions, have an important impact on EBI sustainability and ultimately population health. A minimum level of human resources based on the context (e.g., size of the initial population and characteristics of the EBI) is likely needed for an EBI to have a meaningful impact on population outcomes. Furthermore, this model demonstrates how ABMs may be leveraged to inform research design and assess the impact of EBI sustainability in practice.

Advance Resource Provisioning in Bulk Data Scheduling

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

Balman, Mehmet

2012-10-01

Today?s scientific and business applications generate mas- sive data sets that need to be transferred to remote sites for sharing, processing, and long term storage. Because of increasing data volumes and enhancement in current net- work technology that provide on-demand high-speed data access between collaborating institutions, data handling and scheduling problems have reached a new scale. In this paper, we present a new data scheduling model with ad- vance resource provisioning, in which data movement operations are defined with earliest start and latest comple- tion times. We analyze time-dependent resource assign- ment problem, and propose a new methodology to improvemore » the current systems by allowing researchers and higher-level meta-schedulers to use data-placement as-a-service, so they can plan ahead and submit transfer requests in advance. In general, scheduling with time and resource conflicts is NP-hard. We introduce an efficient algorithm to organize multiple requests on the fly, while satisfying users? time and resource constraints. We successfully tested our algorithm in a simple benchmark simulator that we have developed, and demonstrated its performance with initial test results.« less

Developing Expert System for Tuberculosis Diagnose to Support Knowledge Sharing in the Era of National Health Insurance System

NASA Astrophysics Data System (ADS)

Lidya, L.

2017-03-01

National Health Insurance has been implemented since 1st January 2014. A number of new policies have been established including multilevel referral system. The multilevel referral system classified health care center into three levels, it determined that the flow of patient treatment should be started from first level health care center. There are 144 kind of diseases that must be treat in the first level which mainly consists of general physicians. Unfortunately, competence of the physician in the first level may not fulfil the standard competence yet. To improved the physisians knowledge, government has created many events to accelerate knowledge sharing. However, it still needs times and many resources to give significan results. Expert system is kind of software that provide consulting services to non-expert users in accordance with the area of its expertise. It can improved effectivity and efficiency of knowledge sharing and learning. This research was developed a model of TB diagnose expert system which comply with the standard procedure of TB diagnosis and regulation. The proposed expert system has characteristics as follows provide facility to manage multimedia clinical data, supporting the complexity of TB diagnosis (combine rule-based and case-based expert system), interactive interface, good usability, multi-platform, evolutionary.

A Multi-Tiered Approach for Building Capacity in Hydrologic Modeling for Water Resource Management in Developing Regions

NASA Astrophysics Data System (ADS)

Markert, K. N.; Limaye, A. S.; Rushi, B. R.; Adams, E. C.; Anderson, E.; Ellenburg, W. L.; Mithieu, F.; Griffin, R.

2017-12-01

Water resource management is the process by which governments, businesses and/or individuals reach and implement decisions that are intended to address the future quantity and/or quality of water for societal benefit. The implementation of water resource management typically requires the understanding of the quantity and/or timing of a variety of hydrologic variables (e.g. discharge, soil moisture and evapotranspiration). Often times these variables for management are simulated using hydrologic models particularly in data sparse regions. However, there are several large barriers to entry in learning how to use models, applying best practices during the modeling process, and selecting and understanding the most appropriate model for diverse applications. This presentation focuses on a multi-tiered approach to bring the state-of-the-art hydrologic modeling capabilities and methods to developing regions through the SERVIR program, a joint NASA and USAID initiative that builds capacity of regional partners and their end users on the use of Earth observations for environmental decision making. The first tier is a series of trainings on the use of multiple hydrologic models, including the Variable Infiltration Capacity (VIC) and Ensemble Framework For Flash Flood Forecasting (EF5), which focus on model concepts and steps to successfully implement the models. We present a case study for this in a pilot area, the Nyando Basin in Kenya. The second tier is focused on building a community of practice on applied hydrology modeling aimed at creating a support network for hydrologists in SERVIR regions and promoting best practices. The third tier is a hydrologic inter-comparison project under development in the SERVIR regions. The objective of this step is to understand model performance under specific decision-making scenarios, and to share knowledge among hydrologists in SERVIR regions. The results of these efforts include computer programs, training materials, and new scientific understanding, all of which are shared in an open and collaborative environment for transparency and subsequent capacity building in SERVIR regions and beyond. The outcome of this work is increased awareness and capacity on the use of hydrologic models in developing regions to support water resource management and water security.

Building capacity for cognitive behavioral therapy delivery for depression in disaster-impacted contexts.

PubMed

Ngo, Victoria K; Centanni, Angela; Wong, Eunice; Wennerstrom, Ashley; Miranda, Jeanne

2011-01-01

Numerous challenges exist in implementing evidence-based practices, such as cognitive behavioral therapy, in resource poor, ethnic minority, and/or disaster-affected communities with disparities in mental health. Community-academic participatory partnerships are a promising approach to addressing disparities by implementing community-appropriate, evidence-based depression care. A community-academic collaborative was formed in New Orleans after Hurricane Katrina to expand resources for effective depression care, including cognitive behavioral therapy. In this article, we: 1) describe our model of building capacity to deliver cognitive behavioral therapy for depression in post-disaster community-based settings; 2) discuss the impact of this training program on therapist reported practice; and 3) share lessons learned regarding disseminating and sustaining evidence-based interventions in the context of a disaster impacted community. Using a mixed methods approach, we found that this model was feasible, acceptable, and disseminated knowledge about cognitive behavioral therapy in community settings. Over the course of two years, community providers demonstrated the feasibility of implementing evidence-based practice and potential for local community leadership. The lessons learned from this model of implementation may help address barriers to disseminating evidence-based interventions in other low-resource, disaster-impacted community settings.

Secure NFV Orchestration Over an SDN-Controlled Optical Network With Time-Shared Quantum Key Distribution Resources

NASA Astrophysics Data System (ADS)

Aguado, Alejandro; Hugues-Salas, Emilio; Haigh, Paul Anthony; Marhuenda, Jaume; Price, Alasdair B.; Sibson, Philip; Kennard, Jake E.; Erven, Chris; Rarity, John G.; Thompson, Mark Gerard; Lord, Andrew; Nejabati, Reza; Simeonidou, Dimitra

2017-04-01

We demonstrate, for the first time, a secure optical network architecture that combines NFV orchestration and SDN control with quantum key distribution (QKD) technology. A novel time-shared QKD network design is presented as a cost-effective solution for practical networks.

Review and Implementation Status of Prior Defense Business Board Recommendations

DTIC Science & Technology

2007-04-01

Resource Management • Support unified models for shared services , and be prepared to adjust forward approaches for a Unified Medical Command...models for shared services – including by and between Veterans Affairs and Defense, electronic information exchange, disease treatment and prevention...www.dod.mil/dbb/pdf/DBB- Report-on-the-Military.pdf. • Continue to support unified models for shared services – including by and between Veterans Affairs

Deliberation favours social efficiency by making people disregard their relative shares: evidence from USA and India

PubMed Central

Corgnet, Brice; Espín, Antonio M.; Hernán-González, Roberto

2017-01-01

Groups make decisions on both the production and the distribution of resources. These decisions typically involve a tension between increasing the total level of group resources (i.e. social efficiency) and distributing these resources among group members (i.e. individuals' relative shares). This is the case because the redistribution process may destroy part of the resources, thus resulting in socially inefficient allocations. Here we apply a dual-process approach to understand the cognitive underpinnings of this fundamental tension. We conducted a set of experiments to examine the extent to which different allocation decisions respond to intuition or deliberation. In a newly developed approach, we assess intuition and deliberation at both the trait level (using the Cognitive Reflection Test, henceforth CRT) and the state level (through the experimental manipulation of response times). To test for robustness, experiments were conducted in two countries: the USA and India. Despite absolute-level differences across countries, in both locations we show that: (i) time pressure and low CRT scores are associated with individuals' concerns for their relative shares and (ii) time delay and high CRT scores are associated with individuals' concerns for social efficiency. These findings demonstrate that deliberation favours social efficiency by overriding individuals' intuitive tendency to focus on relative shares. PMID:28386421

Sharing resources: opportunities for smaller primary care practices to increase their capacity for patient care. Findings from the 2009 Commonwealth Fund International Health Policy Survey of Primary Care Physicians.

PubMed

Fryer, Ashley-Kay; Doty, Michelle M; Audet, Anne-Marie J

2011-03-01

Most Americans get their health care in small physician practices. Yet, small practice settings are often unable to provide the same range of services or partici­pate in quality improvement initiatives as large practices because they lack the staff, infor­mation technology, and office systems. One promising strategy is to share clinical sup­port services and information systems with other practices. New findings from the 2009 Commonwealth Fund International Health Policy Survey of Primary Care Physicians suggest smaller practices that share resources are more likely than those without shared resources to have advanced electronic medical records and health information technology, routinely track and manage patient information, have after-hours care arrangements, and engage in quality monitoring and benchmarking. This issue brief highlights strategies that can increase resources among small- and medium-sized practices and efforts supported by states, the private sector, and the Affordable Care Act that encourage the expansion of shared-resource models.

[Integrated program of psychogeriatric care].

PubMed

López-Pousa, S; Serra-Mestres, J; Lozano-Gallego, M; Tron-Estrada, A; Vilalta-Franch, J; Garre-Olmo, J; Camps-Rovira, G; Hernández-Ferrándiz, M; Mariscot-Bas, C; Llinàs-Reglà, J; Pujol-Gómez, C

At the present time there is considerable controversy over the course to follow in attention to patients with psychogeriatric disorders. Rapid diagnosis and maintaining the patients in their homes are the basic objectives of the policy of sharing responsibility among those involved. We review the bibliography and suggest a form of attention based on experience acquired in the dementia evaluation unit of the Programme Vida als Anys of the Generalitat de Catalunya. The model described is based on making the diagnosis in the patient's home, giving support to the family and integrating the patient into a follow-up unit, with a person responsible for evaluating and resolving the needs of both patient and family as they arise. In order to carry out this programme, the attention must be given by multidiscliplinary units with the necessary resources.

SEARCHBreast: a new resource to locate and share surplus archival material from breast cancer animal models to help address the 3Rs.

PubMed

Blyth, Karen; Carter, Phil; Morrissey, Bethny; Chelala, Claude; Jones, Louise; Holen, Ingunn; Speirs, Valerie

2016-04-01

Animal models have contributed to our understanding of breast cancer, with publication of results in high-impact journals almost invariably requiring extensive in vivo experimentation. As such, many laboratories hold large collections of surplus animal material, with only a fraction being used in publications relating to the original projects. Despite being developed at considerable cost, this material is an invisible and hence an underutilised resource, which often ends up being discarded. Within the breast cancer research community there is both a need and desire to make this valuable material available for researchers. Lack of a coordinated system for visualisation and localisation of this has prevented progress. To fulfil this unmet need, we have developed a novel initiative called Sharing Experimental Animal Resources: Coordinating Holdings-Breast (SEARCHBreast) which facilitates sharing of archival tissue between researchers on a collaborative basis and, de facto will reduce overall usage of animal models in breast cancer research. A secure searchable database has been developed where researchers can find, share, or upload materials related to animal models of breast cancer, including genetic and transplant models. SEARCHBreast is a virtual compendium where the physical material remains with the original laboratory. A bioanalysis pipeline is being developed for the analysis of transcriptomics data associated with mouse models, allowing comparative study with human and cell line data. Additionally, SEARCHBreast is committed to promoting the use of humanised breast tissue models as replacement alternatives to animals. Access to this unique resource is freely available to all academic researchers following registration at https://searchbreast.org.

Dynamic Transfers Of Tasks Among Computers

NASA Technical Reports Server (NTRS)

Liu, Howard T.; Silvester, John A.

1989-01-01

Allocation scheme gives jobs to idle computers. Ideal resource-sharing algorithm should have following characteristics: Dynamics, decentralized, and heterogeneous. Proposed enhanced receiver-initiated dynamic algorithm (ERIDA) for resource sharing fulfills all above criteria. Provides method balancing workload among hosts, resulting in improvement in response time and throughput performance of total system. Adjusts dynamically to traffic load of each station.

Application of cooperative and non-cooperative games in large-scale water quantity and quality management: a case study.

PubMed

Mahjouri, Najmeh; Ardestani, Mojtaba

2011-01-01

In this paper, two cooperative and non-cooperative methodologies are developed for a large-scale water allocation problem in Southern Iran. The water shares of the water users and their net benefits are determined using optimization models having economic objectives with respect to the physical and environmental constraints of the system. The results of the two methodologies are compared based on the total obtained economic benefit, and the role of cooperation in utilizing a shared water resource is demonstrated. In both cases, the water quality in rivers satisfies the standards. Comparing the results of the two mentioned approaches shows the importance of acting cooperatively to achieve maximum revenue in utilizing a surface water resource while the river water quantity and quality issues are addressed.

Coexistence of three sympatric cormorants (Phalacrocorax spp.); partitioning of time as an ecological resource

PubMed Central

Mahendiran, Mylswamy

2016-01-01

Resource partitioning is well known along food and habitat for reducing competition among sympatric species, yet a study on temporal partitioning as a viable basis for reducing resource competition is not empirically investigated. Here, I attempt to identify the mechanism of temporal partitioning by intra- and interspecific diving analyses of three sympatric cormorant species at different freshwater wetlands around the Delhi region. Diving results indicated that cormorants opted for a shallow diving; consequently, they did not face any physiological stress. Moreover, diving durations were linked with seasons, foraging time and foraging habitats. Intraspecific comparison suggested that cormorants spent a longer time underwater in early hours of the day. Therefore, time spent for dive was higher in the forenoon than late afternoon, and the interspecific analysis also yielded a similar result. When Phalacrocorax niger and Phalacrocorax fuscicollis shared the same foraging habitat, they tended to differ in their foraging time (forenoon/afternoon). However, when P. niger and Phalacrocorax carbo shared the same foraging time, they tended to use different foraging habitats (lentic/lotic) leading to a mechanism of resource partitioning. Thus, sympatric cormorants effectively use time as a resource to exploit the food resources and successful coexistence. PMID:27293799

Does a House Divided Stand? Kinship and the Continuity of Shared Living Arrangements

PubMed Central

Glick, Jennifer E.; Van Hook, Jennifer

2011-01-01

Shared living arrangements can provide housing, economies of scale, and other instrumental support and may become an important resource in times of economic constraint. But the extent to which such living arrangements experience continuity or rapid change in composition is unclear. Previous research on extended-family households tended to focus on factors that trigger the onset of coresidence, including life course events or changes in health status and related economic needs. Relying on longitudinal data from 9,932 households in the Survey of Income and Program Participation (SIPP), the analyses demonstrate that the distribution of economic resources in the household also influences the continuity of shared living arrangements. The results suggest that multigenerational households of parents and adult children experience greater continuity in composition when one individual or couple has a disproportionate share of the economic resources in the household. Other coresidential households, those shared by other kin or nonkin, experience greater continuity when resources are more evenly distributed. PMID:22259218

Managing simulation-based training: A framework for optimizing learning, cost, and time

NASA Astrophysics Data System (ADS)

Richmond, Noah Joseph

This study provides a management framework for optimizing training programs for learning, cost, and time when using simulation based training (SBT) and reality based training (RBT) as resources. Simulation is shown to be an effective means for implementing activity substitution as a way to reduce risk. The risk profile of 22 US Air Force vehicles are calculated, and the potential risk reduction is calculated under the assumption of perfect substitutability of RBT and SBT. Methods are subsequently developed to relax the assumption of perfect substitutability. The transfer effectiveness ratio (TER) concept is defined and modeled as a function of the quality of the simulator used, and the requirements of the activity trained. The Navy F/A-18 is then analyzed in a case study illustrating how learning can be maximized subject to constraints in cost and time, and also subject to the decision maker's preferences for the proportional and absolute use of simulation. Solution methods for optimizing multiple activities across shared resources are next provided. Finally, a simulation strategy including an operations planning program (OPP), an implementation program (IP), an acquisition program (AP), and a pedagogical research program (PRP) is detailed. The study provides the theoretical tools to understand how to leverage SBT, a case study demonstrating these tools' efficacy, and a set of policy recommendations to enable the US military to better utilize SBT in the future.

International Virtual Observatory System for Water Resources Information

NASA Astrophysics Data System (ADS)

Leinenweber, Lewis; Bermudez, Luis

2013-04-01

Sharing, accessing, and integrating hydrologic and climatic data have been identified as a critical need for some time. The current state of data portals, standards, technologies, activities, and expertise can be leverage to develop an initial operational capability for a virtual observatory system. This system will allow to link observations data with stream networks and models, and to solve semantic inconsistencies among communities. Prototyping a virtual observatory system is an inter-disciplinary, inter-agency and international endeavor. The Open Geospatial Consortium (OGC) within the OGC Interoperability Program provides the process and expertise to run such collaborative effort. The OGC serves as a global forum for the collaboration of developers and users of spatial data products and services, and to advance the development of international standards for geospatial interoperability. The project coordinated by OGC that is advancing an international virtual observatory system for water resources information is called Climatology-Hydrology Information Sharing Pilot, Phase 1 (CHISP-1). It includes observations and forecasts in the U.S. and Canada levering current networks and capabilities. It is designed to support the following use cases: 1) Hydrologic modeling for historical and near-future stream flow and groundwater conditions. Requires the integration of trans-boundary stream flow and groundwater well data, as well as national river networks (US NHD and Canada NHN) from multiple agencies. Emphasis will be on time series data and real-time flood monitoring. 2) Modeling and assessment of nutrient load into the lakes. Requires accessing water-quality data from multiple agencies and integrating with stream flow information for calculating loads. Emphasis on discrete sampled water quality observations, linking those to specific NHD stream reaches and catchments, and additional metadata for sampled data. The key objectives of these use cases are: 1) To link observations data to the stream network, enabling queries of conditions upstream from a given location to return all relevant gages and well locations. This is currently not practical with the data sources available. 2) To bridge differences in semantics across information models and processes used by the various data producers, to improve the hydrologic and water quality modeling capabilities. Other expected benefits to be derived from this project include: - Leverage a large body of existing data holdings and related activities of multiple agencies in the US and Canada. - Influence data and metadata standards used internationally for web-based information sharing, through multiple agency cooperation and OGC standards setting process. - Reduction of procurement risk through partnership-based development of an initial operating capability verses the cost for building a fully operational system using a traditional "waterfall approach". - Identification and clarification of what is possible, and of the key technical and non-technical barriers to continued progress in sharing and integrating hydrologic and climatic information. - Promote understanding and strengthen ties within the hydro-climatic community. This is anticipated to be the first phase of a multi-phase project, with future work on forecasting the hydrologic consequences of extreme weather events, and enabling more sophisticated water quality modeling.

A Real-Time Web of Things Framework with Customizable Openness Considering Legacy Devices

PubMed Central

Zhao, Shuai; Yu, Le; Cheng, Bo

2016-01-01

With the development of the Internet of Things (IoT), resources and applications based on it have emerged on a large scale. However, most efforts are “silo” solutions where devices and applications are tightly coupled. Infrastructures are needed to connect sensors to the Internet, open up and break the current application silos and move to a horizontal application mode. Based on the concept of Web of Things (WoT), many infrastructures have been proposed to integrate the physical world with the Web. However, issues such as no real-time guarantee, lack of fine-grained control of data, and the absence of explicit solutions for integrating heterogeneous legacy devices, hinder their widespread and practical use. To address these issues, this paper proposes a WoT resource framework that provides the infrastructures for the customizable openness and sharing of users’ data and resources under the premise of ensuring the real-time behavior of their own applications. The proposed framework is validated by actual systems and experimental evaluations. PMID:27690038

A Real-Time Web of Things Framework with Customizable Openness Considering Legacy Devices.

PubMed

Zhao, Shuai; Yu, Le; Cheng, Bo

2016-09-28

With the development of the Internet of Things (IoT), resources and applications based on it have emerged on a large scale. However, most efforts are "silo" solutions where devices and applications are tightly coupled. Infrastructures are needed to connect sensors to the Internet, open up and break the current application silos and move to a horizontal application mode. Based on the concept of Web of Things (WoT), many infrastructures have been proposed to integrate the physical world with the Web. However, issues such as no real-time guarantee, lack of fine-grained control of data, and the absence of explicit solutions for integrating heterogeneous legacy devices, hinder their widespread and practical use. To address these issues, this paper proposes a WoT resource framework that provides the infrastructures for the customizable openness and sharing of users' data and resources under the premise of ensuring the real-time behavior of their own applications. The proposed framework is validated by actual systems and experimental evaluations.

A Selected Annotated Bibliography on Work Time Options.

ERIC Educational Resources Information Center

Ivantcho, Barbara

This annotated bibliography is divided into three sections. Section I contains annotations of general publications on work time options. Section II presents resources on flexitime and the compressed work week. In Section III are found resources related to these reduced work time options: permanent part-time employment, job sharing, voluntary…

Engineering 2.0: Exploring Lightweight Technologies for the Virtual Enterprise

NASA Astrophysics Data System (ADS)

Larsson, Andreas; Ericson, Åsa; Larsson, Tobias; Isaksson, Ola; Bertoni, Marco

In a traditional business partnership, the partner companies are under contractual obligation to share data, information, and knowledge through one or several information systems that the leading firm decides. In such a case, the issue of sharing "whatever needs to be shared" is settled in contracts before any action is taken, however, also giving the implications that sharing expertise becomes a heavy and time-consuming activity. In turn, it can be argued that the heavy administration affects the lead time of product development negatively since the necessary input flows are delayed. In addition, the adaptation to certain predefined collaborative information systems is both expensive and resource-consuming (e.g., educating staff to use them). Also, the system might not be adaptable to the existing internal technology structure, causing a "translation" procedure, again taking up resources. Another structure for collaboration is a network or alliance of independent partner companies. One motivation for a network structure is that the partners can join or leave it more easily. A reason for joining and staying is an implicit sense of knowledge sharing (Tomkins 2001) and access to a "win-win" environment. Furthermore, the partners can be linked by information technology, i.e., forming a virtual ­structure rather than a physical one. The technologies provide the channels with additional knowledge. In a best-case scenario, a company would get access to a wide range of useful competences, and in a worst-case scenario the company would be drained of its core competences. Accordingly, at least two considerations for joining a partner network can be considered. First, the resources needed to couple the technologies have to be reasonable, due to the underpinning logic of going in and out of more than one network. Second, the company has to identify its knowledge base and evaluate the prospective gains and losses of sharing its expertise.

Statistical mechanics of broadcast channels using low-density parity-check codes.

PubMed

Nakamura, Kazutaka; Kabashima, Yoshiyuki; Morelos-Zaragoza, Robert; Saad, David

2003-03-01

We investigate the use of Gallager's low-density parity-check (LDPC) codes in a degraded broadcast channel, one of the fundamental models in network information theory. Combining linear codes is a standard technique in practical network communication schemes and is known to provide better performance than simple time sharing methods when algebraic codes are used. The statistical physics based analysis shows that the practical performance of the suggested method, achieved by employing the belief propagation algorithm, is superior to that of LDPC based time sharing codes while the best performance, when received transmissions are optimally decoded, is bounded by the time sharing limit.

Religion as a resource for positive youth development: religion, social capital, and moral outcomes.

PubMed

Ebstyne King, Pamela; Furrow, James L

2004-09-01

Although existing literature demonstrates that developmental benefits are associated with religion for adolescents, little is understood about the dynamics of this relationship. Drawing on social capital theory, this study tested a conceptual model exploring socially embedded religious influences on moral outcomes. A three-dimensional model of social capital demonstrated how social interaction, trust, and shared vision enable social ties associated with religiousness to influence moral behavior. Structural equation modeling was used with data gathered from 735 urban youths to test a proposed model of the effects of religiousness on moral outcomes. Results suggested that religiously active youths report higher levels of social capital resources and that the influence of adolescent religiousness on moral outcomes was mediated through social capital resources. Suggestions for further research and implications for faith-based youth development organizations are considered. Copyright 2004 American Psychological Association

Network Information Management Subsystem

NASA Technical Reports Server (NTRS)

Chatburn, C. C.

1985-01-01

The Deep Space Network is implementing a distributed data base management system in which the data are shared among several applications and the host machines are not totally dedicated to a particular application. Since the data and resources are to be shared, the equipment must be operated carefully so that the resources are shared equitably. The current status of the project is discussed and policies, roles, and guidelines are recommended for the organizations involved in the project.

Optimization-based manufacturing scheduling with multiple resources and setup requirements

NASA Astrophysics Data System (ADS)

Chen, Dong; Luh, Peter B.; Thakur, Lakshman S.; Moreno, Jack, Jr.

1998-10-01

The increasing demand for on-time delivery and low price forces manufacturer to seek effective schedules to improve coordination of multiple resources and to reduce product internal costs associated with labor, setup and inventory. This study describes the design and implementation of a scheduling system for J. M. Product Inc. whose manufacturing is characterized by the need to simultaneously consider machines and operators while an operator may attend several operations at the same time, and the presence of machines requiring significant setup times. The scheduling problem with these characteristics are typical for many manufacturers, very difficult to be handled, and have not been adequately addressed in the literature. In this study, both machine and operators are modeled as resources with finite capacities to obtain efficient coordination between them, and an operator's time can be shared by several operations at the same time to make full use of the operator. Setups are explicitly modeled following our previous work, with additional penalties on excessive setups to reduce setup costs and avoid possible scraps. An integer formulation with a separable structure is developed to maximize on-time delivery of products, low inventory and small number of setups. Within the Lagrangian relaxation framework, the problem is decomposed into individual subproblems that are effectively solved by using dynamic programming with additional penalties embedded in state transitions. Heuristics is then developed to obtain a feasible schedule following on our previous work with new mechanism to satisfy operator capacity constraints. The method has been implemented using the object-oriented programming language C++ with a user-friendly interface, and numerical testing shows that the method generates high quality schedules in a timely fashion. Through simultaneous consideration of machines and operators, machines and operators are well coordinated to facilitate the smooth flow of parts through the system. The explicit modeling of setups and the associated penalties let parts with same setup requirements clustered together to avoid excessive setups.

Performance Enhancements Under Dual-task Conditions

NASA Technical Reports Server (NTRS)

Kramer, A. F.; Wickens, C. D.; Donchin, E.

1984-01-01

Research on dual-task performance has been concerned with delineating the antecedent conditions which lead to dual-task decrements. Capacity models of attention, which propose that a hypothetical resource structure underlies performance, have been employed as predictive devices. These models predict that tasks which require different processing resources can be more successfully time shared than tasks which require common resources. The conditions under which such dual-task integrality can be fostered were assessed in a study in which three factors likely to influence the integrality between tasks were manipulated: inter-task redundancy, the physical proximity of tasks and the task relevant objects. Twelve subjects participated in three experimental sessions in which they performed both single and dual-tasks. The primary task was a pursuit step tracking task. The secondary tasks required the discrimination between different intensities or different spatial positions of a stimulus. The results are discussed in terms of a model of dual-task integrality.

Models and Simulations as a Service: Exploring the Use of Galaxy for Delivering Computational Models

PubMed Central

Walker, Mark A.; Madduri, Ravi; Rodriguez, Alex; Greenstein, Joseph L.; Winslow, Raimond L.

2016-01-01

We describe the ways in which Galaxy, a web-based reproducible research platform, can be used for web-based sharing of complex computational models. Galaxy allows users to seamlessly customize and run simulations on cloud computing resources, a concept we refer to as Models and Simulations as a Service (MaSS). To illustrate this application of Galaxy, we have developed a tool suite for simulating a high spatial-resolution model of the cardiac Ca2+ spark that requires supercomputing resources for execution. We also present tools for simulating models encoded in the SBML and CellML model description languages, thus demonstrating how Galaxy’s reproducible research features can be leveraged by existing technologies. Finally, we demonstrate how the Galaxy workflow editor can be used to compose integrative models from constituent submodules. This work represents an important novel approach, to our knowledge, to making computational simulations more accessible to the broader scientific community. PMID:26958881

Sharing the benefits of genetic resources: from biodiversity to human genetics.

PubMed

Schroeder, Doris; Lasén-Díaz, Carolina

2006-12-01

Benefit sharing aims to achieve an equitable exchange between the granting of access to a genetic resource and the provision of compensation. The Convention on Biological Diversity (CBD), adopted at the 1992 Earth Summit in Rio de Janeiro, is the only international legal instrument setting out obligations for sharing the benefits derived from the use of biodiversity. The CBD excludes human genetic resources from its scope, however, this article considers whether it should be expanded to include those resources, so as to enable research subjects to claim a share of the benefits to be negotiated on a case-by-case basis. Our conclusion on this question is: 'No, the CBD should not be expanded to include human genetic resources.' There are essential differences between human and non-human genetic resources, and, in the context of research on humans, an essentially fair exchange model is already available between the health care industry and research subjects. Those who contribute to research should receive benefits in the form of accessible new health care products and services, suitable for local health needs and linked to economic prosperity (e.g. jobs). When this exchange model does not apply, as is often the case in developing countries, individually negotiated benefit sharing agreements between researchers and research subjects should not be used as 'window dressing'. Instead, national governments should focus their finances on the best economic investment they could make; the investment in population health and health research as outlined by the World Health Organization's Commission on Macroeconomics and Health; whilst international barriers to such spending need to be removed.

AgShare Open Knowledge: Improving Rural Communities through University Student Action Research

ERIC Educational Resources Information Center

Geith, Christine; Vignare, Karen

2013-01-01

The aim of AgShare is to create a scalable and sustainable collaboration of existing organizations for African publishing, localizing, and sharing of science-based teaching and learning materials that fill critical resource gaps in African MSc agriculture curriculum. Shared innovative practices are emerging through the AgShare projects, not only…

Experiences from coordinated national-level landslide and flood forecasting in Norway

NASA Astrophysics Data System (ADS)

Krøgli, Ingeborg; Fleig, Anne; Glad, Per; Dahl, Mads-Peter; Devoli, Graziella; Colleuille, Hervé

2015-04-01

While flood forecasting at national level is quite well established and operational in many countries worldwide, landslide forecasting at national level is still seldom. Examples of coordinated flood and landslide forecasting are even rarer. Most of the time flood and landslide forecasters work separately (investigating, defining thresholds, and developing models) and most of the time without communication with each other. One example of coordinated operational early warning systems (EWS) for flooding and shallow landslides is found at the Norwegian Water Resources and Energy Directorate (NVE) in Norway. In this presentation we give an introduction to the two separate but tightly collaborative EWSs and to the coordination of these. The two EWSs are being operated from the same office, every day using similar hydro-meteorological prognosis and hydrological models. Prognosis and model outputs on e.g. discharge, snow melt, soil water content and exceeded landslide thresholds are evaluated in a web based decision-making tool (xgeo.no). The experts performing forecasts are hydrologists, geologists and physical geographers. A similar warning scale, based on colors (green, yellow, orange and red) is used for both EWSs, however thresholds for flood and landslide warning levels are defined differently. Also warning areas may not necessary be the same for both hazards and depending on the specific meteorological event, duration of the warning periods can differ. We present how knowledge, models and tools, but also human and economic resources are being shared between the two EWSs. Moreover, we discuss challenges faced in the communication of warning messages using recent flood and landslide events as examples.

Effect of cognitive load on working memory forgetting in aging.

PubMed

Baumans, Christine; Adam, Stephane; Seron, Xavier

2012-01-01

Functional approaches to working memory (WM) have been proposed recently to better investigate "maintenance" and "processing" mechanisms. The cognitive load (CL) hypothesis presented in the "Time-Based Resource-Sharing" model (Barrouillet & Camos, 2007) suggests that forgetting from WM (maintenance) can be investigated by varying the presentation rate and processing speed (processing). In this study, young and elderly participants were compared on WM tasks in which the difference in processing speed was controlled by CL manipulations. Two main results were found. First, when time constraints (CL) were matched for the two groups, no aging effect was observed. Second, whereas a large variation in CL affected WM performance, a small CL manipulation had no effect on the elderly. This suggests that WM forgetting cannot be completely accounted for by the CL hypothesis. Rather, it highlights the need to explore restoration times in particular, and the nature of the refreshment mechanisms within maintenance.

Geospatial resources for supporting data standards, guidance and best practice in health informatics

PubMed Central

2011-01-01

Background The 1980s marked the occasion when Geographical Information System (GIS) technology was broadly introduced into the geo-spatial community through the establishment of a strong GIS industry. This technology quickly disseminated across many countries, and has now become established as an important research, planning and commercial tool for a wider community that includes organisations in the public and private health sectors. The broad acceptance of GIS technology and the nature of its functionality have meant that numerous datasets have been created over the past three decades. Most of these datasets have been created independently, and without any structured documentation systems in place. However, search and retrieval systems can only work if there is a mechanism for datasets existence to be discovered and this is where proper metadata creation and management can greatly help. This situation must be addressed through support mechanisms such as Web-based portal technologies, metadata editor tools, automation, metadata standards and guidelines and collaborative efforts with relevant individuals and organisations. Engagement with data developers or administrators should also include a strategy of identifying the benefits associated with metadata creation and publication. Findings The establishment of numerous Spatial Data Infrastructures (SDIs), and other Internet resources, is a testament to the recognition of the importance of supporting good data management and sharing practices across the geographic information community. These resources extend to health informatics in support of research, public services and teaching and learning. This paper identifies many of these resources available to the UK academic health informatics community. It also reveals the reluctance of many spatial data creators across the wider UK academic community to use these resources to create and publish metadata, or deposit their data in repositories for sharing. The Go-Geo! service is introduced as an SDI developed to provide UK academia with the necessary resources to address the concerns surrounding metadata creation and data sharing. The Go-Geo! portal, Geodoc metadata editor tool, ShareGeo spatial data repository, and a range of other support resources, are described in detail. Conclusions This paper describes a variety of resources available for the health research and public health sector to use for managing and sharing their data. The Go-Geo! service is one resource which offers an SDI for the eclectic range of disciplines using GIS in UK academia, including health informatics. The benefits of data management and sharing are immense, and in these times of cost restraints, these resources can be seen as solutions to find cost savings which can be reinvested in more research. PMID:21269487

The Caspian Sea Negotiation Support System 2.0

NASA Astrophysics Data System (ADS)

Rouhani, O. M.; Madani, K.

2012-12-01

The Caspian Sea is one of the most resourceful (both in energy and biological resources) areas of the world. The share allocation of Caspian Sea has been the subject of many disputes. Up to now, the negotiations to reach an agreement regarding the ownership status of the sea have not been completely successful. To facilitate reaching an agreement among littoral countries, research studies can provide valuable information. Researchers should examine different options for dividing the sea closely and determine the benefits of each of the options for the parties involved. Following an earlier effort, Caspian Sea Negotiation Support System is further developed in this regard. The model estimates countries' areal and utility shares under different legal methods/scenarios, attempting to minimize transportation costs of exploiting the resource. The applied model is more efficient than the earlier model and the used data includes more variables/attributes such as depth, the differentiation between gas and oil, and various fish resources than the previously employed data. Consequently, the estimates are calculated in more details than are calculated in the earlier study. The results still show a high sensitivity of outputs to the proposed division rules, suggesting a need to clarify the countries' utility and areal shares under any suggested legal regime. Compared to the previous results, the new results confirm the significant effect of the addition of the more variables/attributes to the analysis, in terms of the areal shares and allocations, valuation of resources, and asset management.

Successful Inter-Institutional Resource Sharing in a Niche Educational Market: Formal Collaboration without a Contract

ERIC Educational Resources Information Center

Dow, Elizabeth H.

2008-01-01

Funded by an Institute for Museum and Library Services National Leadership grant, five universities developed a system to provide archives education courses--a niche curriculum--to each other. They use compressed video over Internet 2 in a resource-sharing collaboration across five states and two time zones. The original grant ran from 2002-2005,…

Web-Based Tools for Data Visualization and Decision Support for South Asia

NASA Astrophysics Data System (ADS)

Jones, N.; Nelson, J.; Pulla, S. T.; Ames, D. P.; Souffront, M.; David, C. H.; Zaitchik, B. F.; Gatlin, P. N.; Matin, M. A.

2017-12-01

The objective of the NASA SERVIR project is to assist developing countries in using information provided by Earth observing satellites to assess and manage climate risks, land use, and water resources. We present a collection of web apps that integrate earth observations and in situ data to facilitate deployment of data and water resources models as decision-making tools in support of this effort. The interactive nature of web apps makes this an excellent medium for creating decision support tools that harness cutting edge modeling techniques. Thin client apps hosted in a cloud portal eliminates the need for the decision makers to procure and maintain the high performance hardware required by the models, deal with issues related to software installation and platform incompatibilities, or monitor and install software updates, a problem that is exacerbated for many of the regional SERVIR hubs where both financial and technical capacity may be limited. All that is needed to use the system is an Internet connection and a web browser. We take advantage of these technologies to develop tools which can be centrally maintained but openly accessible. Advanced mapping and visualization make results intuitive and information derived actionable. We also take advantage of the emerging standards for sharing water information across the web using the OGC and WMO approved WaterML standards. This makes our tools interoperable and extensible via application programming interfaces (APIs) so that tools and data from other projects can both consume and share the tools developed in our project. Our approach enables the integration of multiple types of data and models, thus facilitating collaboration between science teams in SERVIR. The apps developed thus far by our team process time-varying netCDF files from Earth observations and large-scale computer simulations and allow visualization and exploration via raster animation and extraction of time series at selected points and/or regions.

Dynamic load-sharing characteristic analysis of face gear power-split gear system based on tooth contact characteristics

NASA Astrophysics Data System (ADS)

Dong, Hao; Hu, Yahui

2018-04-01

The bend-torsion coupling dynamics load-sharing model of the helicopter face gear split torque transmission system is established by using concentrated quality standard, to analyzing the dynamic load-sharing characteristic. The mathematical models include nonlinear support stiffness, time-varying meshing stiffness, damping, gear backlash. The results showed that the errors collectively influenced the load sharing characteristics, only reduce a certain error, it is never fully reached the perfect loading sharing characteristics. The system load-sharing performance can be improved through floating shaft support. The above-method will provide a theoretical basis and data support for its dynamic performance optimization design.

Research and dissemination: an ethical way to prevention

NASA Astrophysics Data System (ADS)

Lugeri, Francesca; Farabollini, Piero

2015-04-01

The Italian landscape is well representative of the dualism risk / resource which, along with its contradictions, characterizes the whole country. In fact, it also poses continuous questions to the further parallel duality defense / management, as we think to those cases where the natural environment is a high source of hazard to the population living in the concerned territory, being at the same time a resource thanks to the beauty expressed by the shapes of the landscape. The knowledge of the environment where we live is an essential process, even for the survival itself; the difficult journey towards science and knowledge, has been characterized, in the various ages, from different approaches, conditioned by the availability of tools and resources, as well as by the particular historical social, political phases. Research on the evolution of phenomena in time and space; their description, representation and analysis; the interaction between mankind and the physical environment, are a priority for geologists. More than 50 years after the tragedy of Vajont, the issues of shared knowledge, awareness, perception of risk, are still pending and the prevention practices are still a dramatically distant goal. It is essential to disseminate scientific heritage, by implementing processes of communication, using new codes and strategies, able to make individuals / communities / society aware of the local context, in order to trigger a consistent and shared virtuous behaviour,. The strategies of participatory democracy are based on this indispensable assumption, aiming at involving the public in policy management, as well as in prevention practices, towards the sustainable development of the territory. A shared ethics, for the world of research as well as for the society, must aim at overcoming the usual and sterile actions of a mere repairing of the damage, in order to reach a shared behaviour, based on a conscious knowledge, which is the essential foundation to start integrated actions of prevention, mitigation and restoration.

Future Visions of the Brahmaputra - Establishing Hydrologic Baseline and Water Resources Context

NASA Astrophysics Data System (ADS)

Ray, P. A.; Yang, Y. E.; Wi, S.; Brown, C. M.

2013-12-01

The Brahmaputra River Basin (China-India-Bhutan-Bangladesh) is on the verge of a transition from a largely free flowing and highly variable river to a basin of rapid investment and infrastructure development. This work demonstrates a knowledge platform for the basin that compiles available data, and develops hydrologic and water resources system models of the basin. A Variable Infiltration Capacity (VIC) model of the Brahmaputra basin supplies hydrologic information of major tributaries to a water resources system model, which routes runoff generated via the VIC model through water infrastructure, and accounts for water withdrawals for agriculture, hydropower generation, municipal demand, return flows and others human activities. The system model also simulates agricultural production and the economic value of water in its various uses, including municipal, agricultural, and hydropower. Furthermore, the modeling framework incorporates plausible climate change scenarios based on the latest projections of changes to contributing glaciers (upstream), as well as changes to monsoon behavior (downstream). Water resources projects proposed in the Brahmaputra basin are evaluated based on their distribution of benefits and costs in the absence of well-defined water entitlements, and relative to a complex regional water-energy-food nexus. Results of this project will provide a basis for water sharing negotiation among the four countries and inform trans-national water-energy policy making.

Hypothesis generation using network structures on community health center cancer-screening performance.

PubMed

Carney, Timothy Jay; Morgan, Geoffrey P; Jones, Josette; McDaniel, Anna M; Weaver, Michael T; Weiner, Bryan; Haggstrom, David A

2015-10-01

Nationally sponsored cancer-care quality-improvement efforts have been deployed in community health centers to increase breast, cervical, and colorectal cancer-screening rates among vulnerable populations. Despite several immediate and short-term gains, screening rates remain below national benchmark objectives. Overall improvement has been both difficult to sustain over time in some organizational settings and/or challenging to diffuse to other settings as repeatable best practices. Reasons for this include facility-level changes, which typically occur in dynamic organizational environments that are complex, adaptive, and unpredictable. This study seeks to understand the factors that shape community health center facility-level cancer-screening performance over time. This study applies a computational-modeling approach, combining principles of health-services research, health informatics, network theory, and systems science. To investigate the roles of knowledge acquisition, retention, and sharing within the setting of the community health center and to examine their effects on the relationship between clinical decision support capabilities and improvement in cancer-screening rate improvement, we employed Construct-TM to create simulated community health centers using previously collected point-in-time survey data. Construct-TM is a multi-agent model of network evolution. Because social, knowledge, and belief networks co-evolve, groups and organizations are treated as complex systems to capture the variability of human and organizational factors. In Construct-TM, individuals and groups interact by communicating, learning, and making decisions in a continuous cycle. Data from the survey was used to differentiate high-performing simulated community health centers from low-performing ones based on computer-based decision support usage and self-reported cancer-screening improvement. This virtual experiment revealed that patterns of overall network symmetry, agent cohesion, and connectedness varied by community health center performance level. Visual assessment of both the agent-to-agent knowledge sharing network and agent-to-resource knowledge use network diagrams demonstrated that community health centers labeled as high performers typically showed higher levels of collaboration and cohesiveness among agent classes, faster knowledge-absorption rates, and fewer agents that were unconnected to key knowledge resources. Conclusions and research implications: Using the point-in-time survey data outlining community health center cancer-screening practices, our computational model successfully distinguished between high and low performers. Results indicated that high-performance environments displayed distinctive network characteristics in patterns of interaction among agents, as well as in the access and utilization of key knowledge resources. Our study demonstrated how non-network-specific data obtained from a point-in-time survey can be employed to forecast community health center performance over time, thereby enhancing the sustainability of long-term strategic-improvement efforts. Our results revealed a strategic profile for community health center cancer-screening improvement via simulation over a projected 10-year period. The use of computational modeling allows additional inferential knowledge to be drawn from existing data when examining organizational performance in increasingly complex environments. Copyright © 2015 Elsevier Inc. All rights reserved.

A national-scale authentication infrastructure.

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

Butler, R.; Engert, D.; Foster, I.

2000-12-01

Today, individuals and institutions in science and industry are increasingly forming virtual organizations to pool resources and tackle a common goal. Participants in virtual organizations commonly need to share resources such as data archives, computer cycles, and networks - resources usually available only with restrictions based on the requested resource's nature and the user's identity. Thus, any sharing mechanism must have the ability to authenticate the user's identity and determine if the user is authorized to request the resource. Virtual organizations tend to be fluid, however, so authentication mechanisms must be flexible and lightweight, allowing administrators to quickly establish andmore » change resource-sharing arrangements. However, because virtual organizations complement rather than replace existing institutions, sharing mechanisms cannot change local policies and must allow individual institutions to maintain control over their own resources. Our group has created and deployed an authentication and authorization infrastructure that meets these requirements: the Grid Security Infrastructure. GSI offers secure single sign-ons and preserves site control over access policies and local security. It provides its own versions of common applications, such as FTP and remote login, and a programming interface for creating secure applications.« less

Design, Development, and Initial Evaluation of a Terminology for Clinical Decision Support and Electronic Clinical Quality Measurement.

PubMed

Lin, Yanhua; Staes, Catherine J; Shields, David E; Kandula, Vijay; Welch, Brandon M; Kawamoto, Kensaku

2015-01-01

When coupled with a common information model, a common terminology for clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could greatly facilitate the distributed development and sharing of CDS and eCQM knowledge resources. To enable such scalable knowledge authoring and sharing, we systematically developed an extensible and standards-based terminology for CDS and eCQM in the context of the HL7 Virtual Medical Record (vMR) information model. The development of this terminology entailed three steps: (1) systematic, physician-curated concept identification from sources such as the Health Information Technology Standards Panel (HITSP) and the SNOMED-CT CORE problem list; (2) concept de-duplication leveraging the Unified Medical Language System (UMLS) MetaMap and Metathesaurus; and (3) systematic concept naming using standard terminologies and heuristic algorithms. This process generated 3,046 concepts spanning 68 domains. Evaluation against representative CDS and eCQM resources revealed approximately 50-70% concept coverage, indicating the need for continued expansion of the terminology.

Design, Development, and Initial Evaluation of a Terminology for Clinical Decision Support and Electronic Clinical Quality Measurement

PubMed Central

Lin, Yanhua; Staes, Catherine J; Shields, David E; Kandula, Vijay; Welch, Brandon M; Kawamoto, Kensaku

2015-01-01

When coupled with a common information model, a common terminology for clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could greatly facilitate the distributed development and sharing of CDS and eCQM knowledge resources. To enable such scalable knowledge authoring and sharing, we systematically developed an extensible and standards-based terminology for CDS and eCQM in the context of the HL7 Virtual Medical Record (vMR) information model. The development of this terminology entailed three steps: (1) systematic, physician-curated concept identification from sources such as the Health Information Technology Standards Panel (HITSP) and the SNOMED-CT CORE problem list; (2) concept de-duplication leveraging the Unified Medical Language System (UMLS) MetaMap and Metathesaurus; and (3) systematic concept naming using standard terminologies and heuristic algorithms. This process generated 3,046 concepts spanning 68 domains. Evaluation against representative CDS and eCQM resources revealed approximately 50–70% concept coverage, indicating the need for continued expansion of the terminology. PMID:26958220

A Practical Approach to Governance and Optimization of Structured Data Elements.

PubMed

Collins, Sarah A; Gesner, Emily; Morgan, Steven; Mar, Perry; Maviglia, Saverio; Colburn, Doreen; Tierney, Diana; Rocha, Roberto

2015-01-01

Definition and configuration of clinical content in an enterprise-wide electronic health record (EHR) implementation is highly complex. Sharing of data definitions across applications within an EHR implementation project may be constrained by practical limitations, including time, tools, and expertise. However, maintaining rigor in an approach to data governance is important for sustainability and consistency. With this understanding, we have defined a practical approach for governance of structured data elements to optimize data definitions given limited resources. This approach includes a 10 step process: 1) identification of clinical topics, 2) creation of draft reference models for clinical topics, 3) scoring of downstream data needs for clinical topics, 4) prioritization of clinical topics, 5) validation of reference models for clinical topics, and 6) calculation of gap analyses of EHR compared against reference model, 7) communication of validated reference models across project members, 8) requested revisions to EHR based on gap analysis, 9) evaluation of usage of reference models across project, and 10) Monitoring for new evidence requiring revisions to reference model.

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.

The attentional blink reveals serial working memory encoding: evidence from virtual and human event-related potentials.

PubMed

Craston, Patrick; Wyble, Brad; Chennu, Srivas; Bowman, Howard

2009-03-01

Observers often miss a second target (T2) if it follows an identified first target item (T1) within half a second in rapid serial visual presentation (RSVP), a finding termed the attentional blink. If two targets are presented in immediate succession, however, accuracy is excellent (Lag 1 sparing). The resource sharing hypothesis proposes a dynamic distribution of resources over a time span of up to 600 msec during the attentional blink. In contrast, the ST(2) model argues that working memory encoding is serial during the attentional blink and that, due to joint consolidation, Lag 1 is the only case where resources are shared. Experiment 1 investigates the P3 ERP component evoked by targets in RSVP. The results suggest that, in this context, P3 amplitude is an indication of bottom-up strength rather than a measure of cognitive resource allocation. Experiment 2, employing a two-target paradigm, suggests that T1 consolidation is not affected by the presentation of T2 during the attentional blink. However, if targets are presented in immediate succession (Lag 1 sparing), they are jointly encoded into working memory. We use the ST(2) model's neural network implementation, which replicates a range of behavioral results related to the attentional blink, to generate "virtual ERPs" by summing across activation traces. We compare virtual to human ERPs and show how the results suggest a serial nature of working memory encoding as implied by the ST(2) model.

Web-based reactive transport modeling using PFLOTRAN

NASA Astrophysics Data System (ADS)

Zhou, H.; Karra, S.; Lichtner, P. C.; Versteeg, R.; Zhang, Y.

2017-12-01

Actionable understanding of system behavior in the subsurface is required for a wide spectrum of societal and engineering needs by both commercial firms and government entities and academia. These needs include, for example, water resource management, precision agriculture, contaminant remediation, unconventional energy production, CO2 sequestration monitoring, and climate studies. Such understanding requires the ability to numerically model various coupled processes that occur across different temporal and spatial scales as well as multiple physical domains (reservoirs - overburden, surface-subsurface, groundwater-surface water, saturated-unsaturated zone). Currently, this ability is typically met through an in-house approach where computational resources, model expertise, and data for model parameterization are brought together to meet modeling needs. However, such an approach has multiple drawbacks which limit the application of high-end reactive transport codes such as the Department of Energy funded[?] PFLOTRAN code. In addition, while many end users have a need for the capabilities provided by high-end reactive transport codes, they do not have the expertise - nor the time required to obtain the expertise - to effectively use these codes. We have developed and are actively enhancing a cloud-based software platform through which diverse users are able to easily configure, execute, visualize, share, and interpret PFLOTRAN models. This platform consists of a web application and available on-demand HPC computational infrastructure. The web application consists of (1) a browser-based graphical user interface which allows users to configure models and visualize results interactively, and (2) a central server with back-end relational databases which hold configuration, data, modeling results, and Python scripts for model configuration, and (3) a HPC environment for on-demand model execution. We will discuss lessons learned in the development of this platform, the rationale for different interfaces, implementation choices, as well as the planned path forward.

Integrating Archaeological Modeling in DoD Cultural Resource Compliance

DTIC Science & Technology

2012-10-01

that Eglin-area populations shared behaviors and values with other regions. Evidence for maize horticulture appears for the first time during the...ceramic containers, the introduction of maize agriculture, the practice of pipe smoking, the existence of more substantial sedentary villages with storage...excavations undertaken during survey to locate buried artifacts and features. Phase 2 is the phase after initial survey when STPs that yielded artifacts

Bandwidth-sharing in LHCONE, an analysis of the problem

NASA Astrophysics Data System (ADS)

Wildish, T.

2015-12-01

The LHC experiments have traditionally regarded the network as an unreliable resource, one which was expected to be a major source of errors and inefficiency at the time their original computing models were derived. Now, however, the network is seen as much more capable and reliable. Data are routinely transferred with high efficiency and low latency to wherever computing or storage resources are available to use or manage them. Although there was sufficient network bandwidth for the experiments’ needs during Run-1, they cannot rely on ever-increasing bandwidth as a solution to their data-transfer needs in the future. Sooner or later they need to consider the network as a finite resource that they interact with to manage their traffic, in much the same way as they manage their use of disk and CPU resources. There are several possible ways for the experiments to integrate management of the network in their software stacks, such as the use of virtual circuits with hard bandwidth guarantees or soft real-time flow-control, with somewhat less firm guarantees. Abstractly, these can all be considered as the users (the experiments, or groups of users within the experiment) expressing a request for a given bandwidth between two points for a given duration of time. The network fabric then grants some allocation to each user, dependent on the sum of all requests and the sum of available resources, and attempts to ensure the requirements are met (either deterministically or statistically). An unresolved question at this time is how to convert the users’ requests into an allocation. Simply put, how do we decide what fraction of a network's bandwidth to allocate to each user when the sum of requests exceeds the available bandwidth? The usual problems of any resourcescheduling system arise here, namely how to ensure the resource is used efficiently and fairly, while still satisfying the needs of the users. Simply fixing quotas on network paths for each user is likely to lead to inefficient use of the network. If one user cannot use their quota for some reason, that bandwidth is lost. Likewise, there is no incentive for the user to be efficient within their quota, they have nothing to gain by using less than their allocation. As with CPU farms, some sort of dynamic allocation is more likely to be useful. A promising approach for sharing bandwidth at LHCONE is the ’Progressive Second-Price auction’, where users are given a budget and are required to bid from that budget for the specific resources they want to reserve. The auction allows users to effectively determine among themselves the degree of sharing they are willing to accept based on the priorities of their traffic and their global share, as represented by their total budget. The network then implements those allocations using whatever mix of technologies is appropriate or available. This paper describes how the Progressive Second-Price auction works and how it can be applied to LHCONE. Practical questions are addressed, such as how are budgets set, what strategy should users use to manage their budget, how and how often should the auction be run, and how do we ensure that the goals of fairness and efficiency are met.

The Open Faculty: To Share or Not to Share--Is That the Question?

ERIC Educational Resources Information Center

Andersen, Maria H.

2010-01-01

In this article, the author shares her view of "open faculty." To truly understand "open faculty," one needs to step back to a time before the Internet, before it was so easy and inexpensive to share anything and everything. In the pre-Internet era, faculty fell on the same continuum between those who freely share ideas and resources and those who…

FPGA implementation of a biological neural network based on the Hodgkin-Huxley neuron model

PubMed Central

Yaghini Bonabi, Safa; Asgharian, Hassan; Safari, Saeed; Nili Ahmadabadi, Majid

2014-01-01

A set of techniques for efficient implementation of Hodgkin-Huxley-based (H-H) model of a neural network on FPGA (Field Programmable Gate Array) is presented. The central implementation challenge is H-H model complexity that puts limits on the network size and on the execution speed. However, basics of the original model cannot be compromised when effect of synaptic specifications on the network behavior is the subject of study. To solve the problem, we used computational techniques such as CORDIC (Coordinate Rotation Digital Computer) algorithm and step-by-step integration in the implementation of arithmetic circuits. In addition, we employed different techniques such as sharing resources to preserve the details of model as well as increasing the network size in addition to keeping the network execution speed close to real time while having high precision. Implementation of a two mini-columns network with 120/30 excitatory/inhibitory neurons is provided to investigate the characteristic of our method in practice. The implementation techniques provide an opportunity to construct large FPGA-based network models to investigate the effect of different neurophysiological mechanisms, like voltage-gated channels and synaptic activities, on the behavior of a neural network in an appropriate execution time. Additional to inherent properties of FPGA, like parallelism and re-configurability, our approach makes the FPGA-based system a proper candidate for study on neural control of cognitive robots and systems as well. PMID:25484854

Simple Peer-to-Peer SIP Privacy

NASA Astrophysics Data System (ADS)

Koskela, Joakim; Tarkoma, Sasu

In this paper, we introduce a model for enhancing privacy in peer-to-peer communication systems. The model is based on data obfuscation, preventing intermediate nodes from tracking calls, while still utilizing the shared resources of the peer network. This increases security when moving between untrusted, limited and ad-hoc networks, when the user is forced to rely on peer-to-peer schemes. The model is evaluated using a Host Identity Protocol-based prototype on mobile devices, and is found to provide good privacy, especially when combined with a source address hiding scheme. The contribution of this paper is to present the model and results obtained from its use, including usability considerations.

The Sharing Experimental Animal Resources, Coordinating Holdings (SEARCH) Framework: Encouraging Reduction, Replacement, and Refinement in Animal Research.

PubMed

Morrissey, Bethny; Blyth, Karen; Carter, Phil; Chelala, Claude; Jones, Louise; Holen, Ingunn; Speirs, Valerie

2017-01-01

While significant medical breakthroughs have been achieved through using animal models, our experience shows that often there is surplus material remaining that is frequently never revisited but could be put to good use by other scientists. Recognising that most scientists are willing to share this material on a collaborative basis, it makes economic, ethical, and academic sense to explore the option to utilise this precious resource before generating new/additional animal models and associated samples. To bring together those requiring animal tissue and those holding this type of archival material, we have devised a framework called Sharing Experimental Animal Resources, Coordinating Holdings (SEARCH) with the aim of making remaining material derived from animal studies in biomedical research more visible and accessible to the scientific community. We encourage journals, funding bodies, and scientists to unite in promoting a new way of approaching animal research by adopting the SEARCH framework.

The Sharing Experimental Animal Resources, Coordinating Holdings (SEARCH) Framework: Encouraging Reduction, Replacement, and Refinement in Animal Research

PubMed Central

Morrissey, Bethny; Blyth, Karen; Carter, Phil; Chelala, Claude; Jones, Louise; Holen, Ingunn; Speirs, Valerie

2017-01-01

While significant medical breakthroughs have been achieved through using animal models, our experience shows that often there is surplus material remaining that is frequently never revisited but could be put to good use by other scientists. Recognising that most scientists are willing to share this material on a collaborative basis, it makes economic, ethical, and academic sense to explore the option to utilise this precious resource before generating new/additional animal models and associated samples. To bring together those requiring animal tissue and those holding this type of archival material, we have devised a framework called Sharing Experimental Animal Resources, Coordinating Holdings (SEARCH) with the aim of making remaining material derived from animal studies in biomedical research more visible and accessible to the scientific community. We encourage journals, funding bodies, and scientists to unite in promoting a new way of approaching animal research by adopting the SEARCH framework. PMID:28081116

The fundamental closed-form solution of control-related states of kth order S3PR system with left-side non-sharing resource places of Petri nets

NASA Astrophysics Data System (ADS)

Chao, Daniel Yuh; Yu, Tsung Hsien

2016-01-01

Due to the state explosion problem, it has been unimaginable to enumerate reachable states for Petri nets. Chao broke the barrier earlier by developing the very first closed-form solution of the number of reachable and other states for marked graphs and the kth order system. Instead of using first-met bad marking, we propose 'the moment to launch resource allocation' (MLR) as a partial deadlock avoidance policy for a large, real-time dynamic resource allocation system. Presently, we can use the future deadlock ratio of the current state as the indicator of MLR due to which the ratio can be obtained real-time by a closed-form formula. This paper progresses the application of an MLR concept one step further on Gen-Left kth order systems (one non-sharing resource place in any position of the left-side process), which is also the most fundamental asymmetric net structure, by the construction of the system's closed-form solution of the control-related states (reachable, forbidden, live and deadlock states) with a formula depending on the parameters of k and the location of the non-sharing resource. Here, we kick off a new era of real-time, dynamic resource allocation decisions by constructing a generalisation formula of kth order systems (Gen-Left) with r* on the left side but at arbitrary locations.

Computer graphics for management: An abstract of capabilities and applications of the EIS system

NASA Technical Reports Server (NTRS)

Solem, B. J.

1975-01-01

The Executive Information Services (EIS) system, developed as a computer-based, time-sharing tool for making and implementing management decisions, and including computer graphics capabilities, was described. The following resources are available through the EIS languages: centralized corporate/gov't data base, customized and working data bases, report writing, general computational capability, specialized routines, modeling/programming capability, and graphics. Nearly all EIS graphs can be created by a single, on-line instruction. A large number of options are available, such as selection of graphic form, line control, shading, placement on the page, multiple images on a page, control of scaling and labeling, plotting of cum data sets, optical grid lines, and stack charts. The following are examples of areas in which the EIS system may be used: research, estimating services, planning, budgeting, and performance measurement, national computer hook-up negotiations.

Indirect Reciprocity, Resource Sharing, and Environmental Risk: Evidence from Field Experiments in Siberia

PubMed Central

Howe, E. Lance; Murphy, James J.; Gerkey, Drew; West, Colin Thor

2016-01-01

Integrating information from existing research, qualitative ethnographic interviews, and participant observation, we designed a field experiment that introduces idiosyncratic environmental risk and a voluntary sharing decision into a standard public goods game. Conducted with subsistence resource users in rural villages on the Kamchatka Peninsula in Northeast Siberia, we find evidence consistent with a model of indirect reciprocity and local social norms of helping the needy. When participants are allowed to develop reputations in the experiments, as is the case in most small-scale societies, we find that sharing is increasingly directed toward individuals experiencing hardship, good reputations increase aid, and the pooling of resources through voluntary sharing becomes more effective. We also find high levels of voluntary sharing without a strong commitment device; however, this form of cooperation does not increase contributions to the public good. Our results are consistent with previous experiments and theoretical models, suggesting strategic risks tied to rewards, punishments, and reputations are important. However, unlike studies that focus solely on strategic risks, we find the effects of rewards, punishments, and reputations are altered by the presence of environmental factors. Unexpected changes in resource abundance increase interdependence and may alter the costs and benefits of cooperation, relative to defection. We suggest environmental factors that increase interdependence are critically important to consider when developing and testing theories of cooperation PMID:27442434

SLA Negotiation for VO Formation

NASA Astrophysics Data System (ADS)

Paurobally, Shamimabi

Resource management systems are changing from localized resources and services towards virtual organizations (VOs) sharing millions of heterogeneous resources across multiple organizations and domains. The virtual organizations and usage models include a variety of owners and consumers with different usage, access policies, cost models, varying loads, requirements and availability. The stakeholders have private utility functions that must be satisfied and possibly maximized.

Gender Discrimination in the Allocation of Migrant Household Resources.

PubMed

Antman, Francisca M

2015-07-01

This paper considers the relationship between international migration and gender discrimination through the lens of decision-making power over intrahousehold resource allocation. The endogeneity of migration is addressed with a difference-in-differences style identification strategy and a model with household fixed effects. The results suggest that while a migrant household head is away, a greater share of resources is spent on girls relative to boys and his spouse commands greater decision-making power. Once the head returns home, however, a greater share of resources goes to boys and there is suggestive evidence of greater authority for the head of household.

POD experiments using real and simulated time-sharing observations for GEO satellites in C-band transfer ranging system

NASA Astrophysics Data System (ADS)

Fen, Cao; XuHai, Yang; ZhiGang, Li; ChuGang, Feng

2016-08-01

The normal consecutive observing model in Chinese Area Positioning System (CAPS) can only supply observations of one GEO satellite in 1 day from one station. However, this can't satisfy the project need for observing many GEO satellites in 1 day. In order to obtain observations of several GEO satellites in 1 day like GPS/GLONASS/Galileo/BeiDou, the time-sharing observing model for GEO satellites in CAPS needs research. The principle of time-sharing observing model is illuminated with subsequent Precise Orbit Determination (POD) experiments using simulated time-sharing observations in 2005 and the real time-sharing observations in 2015. From time-sharing simulation experiments before 2014, the time-sharing observing 6 GEO satellites every 2 h has nearly the same orbit precision with the consecutive observing model. From POD experiments using the real time-sharing observations, POD precision for ZX12# and Yatai7# are about 3.234 m and 2.570 m, respectively, which indicates the time-sharing observing model is appropriate for CBTR system and can realize observing many GEO satellites in 1 day.

EcoliWiki: a wiki-based community resource for Escherichia coli

PubMed Central

McIntosh, Brenley K.; Renfro, Daniel P.; Knapp, Gwendowlyn S.; Lairikyengbam, Chanchala R.; Liles, Nathan M.; Niu, Lili; Supak, Amanda M.; Venkatraman, Anand; Zweifel, Adrienne E.; Siegele, Deborah A.; Hu, James C.

2012-01-01

EcoliWiki is the community annotation component of the PortEco (http://porteco.org; formerly EcoliHub) project, an online data resource that integrates information on laboratory strains of Escherichia coli, its phages, plasmids and mobile genetic elements. As one of the early adopters of the wiki approach to model organism databases, EcoliWiki was designed to not only facilitate community-driven sharing of biological knowledge about E. coli as a model organism, but also to be interoperable with other data resources. EcoliWiki content currently covers genes from five laboratory E. coli strains, 21 bacteriophage genomes, F plasmid and eight transposons. EcoliWiki integrates the Mediawiki wiki platform with other open-source software tools and in-house software development to extend how wikis can be used for model organism databases. EcoliWiki can be accessed online at http://ecoliwiki.net. PMID:22064863

Ethical management guidelines for the shanghai disease-based biobank network.

PubMed

Zhu, Shu; Shen, Mingxian; Qiu, Xiangxing; Gan, Rongxing; Hu, Qingli

2015-02-01

The Ethical Management Guidelines for the Shanghai Disease-Based Biobank Network are intended to safeguard the interests of all the participants, to standardize the construction, management, and resource sharing of the Shanghai Disease-based Biobank Network, to promote the development of medical research, and to improve public health and well-being. The guidelines contain seven chapters: General Principles; Informed Consent; Use of Bio-samples from Persons without the Capacity to Consent; Privacy and Confidentiality; Applications of Use of Biological Samples and Data; Intellectual Property and Resource Sharing; and Conflict of Interest.

Chinese Children's Justifications for Sharing Resources: Why Do We Have to Share?

ERIC Educational Resources Information Center

Wong, Mun

2011-01-01

Gilligan argued that Kohlberg's justice-based stage theory of morality reflects only one type of morality and does not consider people's tendency to use care-based moral judgements. This study examines Chinese children's tendency to use justice-based and care-based justifications for moral reasoning. Children's attitudes to conforming to the…

Sharing-based social capital associated with harvest production and wealth in the Canadian Arctic

PubMed Central

2018-01-01

Social institutions that facilitate sharing and redistribution may help mitigate the impact of resource shocks. In the North American Arctic, traditional food sharing may direct food to those who need it and provide a form of natural insurance against temporal variability in hunting returns within households. Here, network properties that facilitate resource flow (network size, quality, and density) are examined in a country food sharing network comprising 109 Inuit households from a village in Nunavik (Canada), using regressions to investigate the relationships between these network measures and household socioeconomic attributes. The results show that although single women and elders have larger networks, the sharing network is not structured to prioritize sharing towards households with low food availability. Rather, much food sharing appears to be driven by reciprocity between high-harvest households, meaning that poor, low-harvest households tend to have less sharing-based social capital than more affluent, high-harvest households. This suggests that poor, low-harvest households may be more vulnerable to disruptions in the availability of country food. PMID:29529040

Optimizing DER Participation in Inertial and Primary-Frequency Response

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

Dall-Anese, Emiliano; Zhao, Changhong; Guggilam, Swaroop

This paper develops an approach to enable the optimal participation of distributed energy resources (DERs) in inertial and primary-frequency response alongside conventional synchronous generators. Leveraging a reduced-order model description of frequency dynamics, DERs' synthetic inertias and droop coefficients are designed to meet time-domain performance objectives of frequency overshoot and steady-state regulation. Furthermore, an optimization-based method centered around classical economic dispatch is developed to ensure that DERs share the power injections for inertial- and primary-frequency response in proportion to their power ratings. Simulations for a modified New England test-case system composed of ten synchronous generators and six instances of the IEEEmore » 37-node test feeder with frequency-responsive DERs validate the design strategy.« less

Shared decision making in chronic care in the context of evidence based practice in nursing.

PubMed

Friesen-Storms, Jolanda H H M; Bours, Gerrie J J W; van der Weijden, Trudy; Beurskens, Anna J H M

2015-01-01

In the decision-making environment of evidence-based practice, the following three sources of information must be integrated: research evidence of the intervention, clinical expertise, and the patient's values. In reality, evidence-based practice usually focuses on research evidence (which may be translated into clinical practice guidelines) and clinical expertise without considering the individual patient's values. The shared decision-making model seems to be helpful in the integration of the individual patient's values in evidence-based practice. We aim to discuss the relevance of shared decision making in chronic care and to suggest how it can be integrated with evidence-based practice in nursing. We start by describing the following three possible approaches to guide the decision-making process: the paternalistic approach, the informed approach, and the shared decision-making approach. Implementation of shared decision making has gained considerable interest in cases lacking a strong best-treatment recommendation, and when the available treatment options are equivalent to some extent. We discuss that in chronic care it is important to always invite the patient to participate in the decision-making process. We delineate the following six attributes of health care interventions in chronic care that influence the degree of shared decision making: the level of research evidence, the number of available intervention options, the burden of side effects, the impact on lifestyle, the patient group values, and the impact on resources. Furthermore, the patient's willingness to participate in shared decision making, the clinical expertise of the nurse, and the context in which the decision making takes place affect the shared decision-making process. A knowledgeable and skilled nurse with a positive attitude towards shared decision making—integrated with evidence-based practice—can facilitate the shared decision-making process. We conclude that nurses as well as other health care professionals in chronic care should integrate shared decision making with evidence-based practice to deliver patient-centred care. Copyright © 2014 Elsevier Ltd. All rights reserved.

The clinical application of research utilization: amphotericin B.

PubMed

Reedy, A M; Shivnan, J C; Hanson, J L; Haisfield, M E; Gregory, R E

1994-05-01

To describe the first application of the research utilization process by clinical nurses using the Stetler-Marram Model of Research Utilization to the practice of amphotericin B administration; to share the findings; and to discuss issues encountered in the process and their solutions. Published articles identified through computerized literature searches, published abstracts and books, personal communication with one author, and an informal survey of other cancer centers' amphotericin B infusion practices; research articles were selected for review if studies included settings and patient populations similar to those of the authors and if they used experimental designs. Studies were reviewed for scientific merit and clinical applicability according to the Stetler-Marram model; findings were used to develop a specific nursing protocol for infusion times of amphotericin B based on clinical criteria. The Stetler-Marram model helped staff nurses decide how to apply research findings to practice, although using it was difficult and required mentorship. A research base exists for amphotericin B administration time but not for test doses or premedications to prevent or minimize side effects. Staff nurses can use the Stetler-Marram model but need resources and support from individuals, committees, and administration. A specific protocol representing a practice change was implemented and may be applicable to other settings.

Phases of "pre-engagement" capacity building: discovery, exploration, and trial alliance.

PubMed

Campbell-Voytal, Kimberly

2010-01-01

Academic prevention researchers who engage limited-resource communities may find that organizational or community capacity for prevention is low. Community organizations, neighborhoods, and academic partners may lack shared issue awareness, mutual interests, and interactive skills necessary for collaborative intervention. Existing capacity building models either ignore a 'pre-engagement' phase or acknowledge it without offering strategic detail. An exploratory or developmental phase before active engagement can be achieved through co-located work in a community setting. The construct, "ecology of practice," provides conceptual background for examining how "shared work" introduces and prepares partners for future collaboration consistent with community-based participatory research (CBPR) principles. This paper presents two case studies where pre-engagement capacity building involved partners who were initially unaware, disinterested, or unable to engage in preventive interventions. These cases illustrate how mutual participation in shared "ecologies of practice" enabled an exchange of cultural knowledge, skill, and language that laid the groundwork for future preventive intervention. A trajectory of developmental work in each case occurred over 5 years. Historical timelines, interviews, and personal communications between community and academic leaders were reviewed and common themes identified. A model of "pre-capacity building" emerged. Capacity-building models that detail strategies for developing equitable engagement in under-resourced settings will more effectively move best practices into vulnerable communities. Preventive interventions must be translated equitably if health disparities are to be reduced.

A web platform for integrated surface water - groundwater modeling and data management

NASA Astrophysics Data System (ADS)

Fatkhutdinov, Aybulat; Stefan, Catalin; Junghanns, Ralf

2016-04-01

Model-based decision support systems are considered to be reliable and time-efficient tools for resources management in various hydrology related fields. However, searching and acquisition of the required data, preparation of the data sets for simulations as well as post-processing, visualization and publishing of the simulations results often requires significantly more work and time than performing the modeling itself. The purpose of the developed software is to combine data storage facilities, data processing instruments and modeling tools in a single platform which potentially can reduce time required for performing simulations, hence decision making. The system is developed within the INOWAS (Innovative Web Based Decision Support System for Water Sustainability under a Changing Climate) project. The platform integrates spatially distributed catchment scale rainfall - runoff, infiltration and groundwater flow models with data storage, processing and visualization tools. The concept is implemented in a form of a web-GIS application and is build based on free and open source components, including the PostgreSQL database management system, Python programming language for modeling purposes, Mapserver for visualization and publishing the data, Openlayers for building the user interface and others. Configuration of the system allows performing data input, storage, pre- and post-processing and visualization in a single not disturbed workflow. In addition, realization of the decision support system in the form of a web service provides an opportunity to easily retrieve and share data sets as well as results of simulations over the internet, which gives significant advantages for collaborative work on the projects and is able to significantly increase usability of the decision support system.

Evolution equation for quantum entanglement

NASA Astrophysics Data System (ADS)

Konrad, Thomas; de Melo, Fernando; Tiersch, Markus; Kasztelan, Christian; Aragão, Adriano; Buchleitner, Andreas

2008-02-01

Quantum information technology largely relies on a precious and fragile resource, quantum entanglement, a highly non-trivial manifestation of the coherent superposition of states of composite quantum systems. However, our knowledge of the time evolution of this resource under realistic conditions-that is, when corrupted by environment-induced decoherence-is so far limited, and general statements on entanglement dynamics in open systems are scarce. Here we prove a simple and general factorization law for quantum systems shared by two parties, which describes the time evolution of entanglement on passage of either component through an arbitrary noisy channel. The robustness of entanglement-based quantum information processing protocols is thus easily and fully characterized by a single quantity.

Attentional and non-attentional systems in the maintenance of verbal information in working memory: the executive and phonological loops

PubMed Central

Camos, Valérie; Barrouillet, Pierre

2014-01-01

Working memory is the structure devoted to the maintenance of information at short term during concurrent processing activities. In this respect, the question regarding the nature of the mechanisms and systems fulfilling this maintenance function is of particular importance and has received various responses in the recent past. In the time-based resource-sharing (TBRS) model, we suggest that only two systems sustain the maintenance of information at the short term, counteracting the deleterious effect of temporal decay and interference. A non-attentional mechanism of verbal rehearsal, similar to the one described by Baddeley in the phonological loop model, uses language processes to reactivate phonological memory traces. Besides this domain-specific mechanism, an executive loop allows the reconstruction of memory traces through an attention-based mechanism of refreshing. The present paper reviews evidence of the involvement of these two independent systems in the maintenance of verbal memory items. PMID:25426049

Research on manufacturing service behavior modeling based on block chain theory

NASA Astrophysics Data System (ADS)

Zhao, Gang; Zhang, Guangli; Liu, Ming; Yu, Shuqin; Liu, Yali; Zhang, Xu

2018-04-01

According to the attribute characteristics of processing craft, the manufacturing service behavior is divided into service attribute, basic attribute, process attribute, resource attribute. The attribute information model of manufacturing service is established. The manufacturing service behavior information is successfully divided into public and private domain. Additionally, the block chain technology is introduced, and the information model of manufacturing service based on block chain principle is established, which solves the problem of sharing and secreting information of processing behavior, and ensures that data is not tampered with. Based on the key pairing verification relationship, the selective publishing mechanism for manufacturing information is established, achieving the traceability of product data, guarantying the quality of processing quality.

Faster response time, effective use of resources : integrating transportation systems and emergency management systems.

DOT National Transportation Integrated Search

1999-01-01

When emergency services agencies share : facilities and traffic monitoring resources : with transportation management agencies, : the efficiency and speed of incident : response are measurably improved.

Food Sharing across Borders : First Observation of Intercommunity Meat Sharing by Bonobos at LuiKotale, DRC.

PubMed

Fruth, Barbara; Hohmann, Gottfried

2018-06-01

Evolutionary models consider hunting and food sharing to be milestones that paved the way from primate to human societies. Because fossil evidence is scarce, hominoid primates serve as referential models to assess our common ancestors' capacity in terms of communal use of resources, food sharing, and other forms of cooperation. Whereas chimpanzees form male-male bonds exhibiting resource-defense polygyny with intolerance and aggression toward nonresidents, bonobos form male-female and female-female bonds resulting in relaxed relations with neighboring groups. Here we report the first known case of meat sharing between members of two bonobo communities, revealing a new dimension of social tolerance in this species. This observation testifies to the behavioral plasticity that exists in the two Pan species and contributes to scenarios concerning the traits of the last common ancestor of Pan and Homo. It also contributes to the discussion of physiological triggers of in-group/out-group behavior and allows reconsideration of the emergence of social norms in prehuman societies.

Sharing Time and the Poetic Patterning of Caribbean Independence: The Narrative Architecture of Voice

ERIC Educational Resources Information Center

Van der Aa, Jef

2013-01-01

This article discusses the narrative architecture and interactional uptake of a school child's story about independence in Barbados during sharing time. It is found that an institutional focus on standard resources impacts both teachers' and children's sociolinguistic behavior. Ethnopoetic analysis brings out the child's patterned use of narrative…

Targeting Sulfotransferase (SULT) 2B1b as a Regulator of Cholesterol Metabolism in Prostate Cancer

DTIC Science & Technology

2015-10-01

Roswell Park shared resource to arrange for sample analysis. Determine requirements for analysis: Completed, several samples of LNCaP with siRNA-based...SULT2b1knocked down greater than 80% were submitted to The Roswell park shared resource for lipid analysis Cell lines used: wt  LNCaP,  VCaP

Optimization and Control of Cyber-Physical Vehicle Systems

PubMed Central

Bradley, Justin M.; Atkins, Ella M.

2015-01-01

A cyber-physical system (CPS) is composed of tightly-integrated computation, communication and physical elements. Medical devices, buildings, mobile devices, robots, transportation and energy systems can benefit from CPS co-design and optimization techniques. Cyber-physical vehicle systems (CPVSs) are rapidly advancing due to progress in real-time computing, control and artificial intelligence. Multidisciplinary or multi-objective design optimization maximizes CPS efficiency, capability and safety, while online regulation enables the vehicle to be responsive to disturbances, modeling errors and uncertainties. CPVS optimization occurs at design-time and at run-time. This paper surveys the run-time cooperative optimization or co-optimization of cyber and physical systems, which have historically been considered separately. A run-time CPVS is also cooperatively regulated or co-regulated when cyber and physical resources are utilized in a manner that is responsive to both cyber and physical system requirements. This paper surveys research that considers both cyber and physical resources in co-optimization and co-regulation schemes with applications to mobile robotic and vehicle systems. Time-varying sampling patterns, sensor scheduling, anytime control, feedback scheduling, task and motion planning and resource sharing are examined. PMID:26378541

Optimization and Control of Cyber-Physical Vehicle Systems.

PubMed

Bradley, Justin M; Atkins, Ella M

2015-09-11

A cyber-physical system (CPS) is composed of tightly-integrated computation, communication and physical elements. Medical devices, buildings, mobile devices, robots, transportation and energy systems can benefit from CPS co-design and optimization techniques. Cyber-physical vehicle systems (CPVSs) are rapidly advancing due to progress in real-time computing, control and artificial intelligence. Multidisciplinary or multi-objective design optimization maximizes CPS efficiency, capability and safety, while online regulation enables the vehicle to be responsive to disturbances, modeling errors and uncertainties. CPVS optimization occurs at design-time and at run-time. This paper surveys the run-time cooperative optimization or co-optimization of cyber and physical systems, which have historically been considered separately. A run-time CPVS is also cooperatively regulated or co-regulated when cyber and physical resources are utilized in a manner that is responsive to both cyber and physical system requirements. This paper surveys research that considers both cyber and physical resources in co-optimization and co-regulation schemes with applications to mobile robotic and vehicle systems. Time-varying sampling patterns, sensor scheduling, anytime control, feedback scheduling, task and motion planning and resource sharing are examined.

Virtual Organizations: Trends and Models

NASA Astrophysics Data System (ADS)

Nami, Mohammad Reza; Malekpour, Abbaas

The Use of ICT in business has changed views about traditional business. With VO, organizations with out physical, geographical, or structural constraint can collaborate with together in order to fulfill customer requests in a networked environment. This idea improves resource utilization, reduces development process and costs, and saves time. Virtual Organization (VO) is always a form of partnership and managing partners and handling partnerships are crucial. Virtual organizations are defined as a temporary collection of enterprises that cooperate and share resources, knowledge, and competencies to better respond to business opportunities. This paper presents an overview of virtual organizations and main issues in collaboration such as security and management. It also presents a number of different model approaches according to their purpose and applications.

The Year of the Solar System: An E/PO Community's Approach to Sharing Planetary Science

NASA Astrophysics Data System (ADS)

Shipp, S. S.; Boonstra, D.; Shupla, C.; Dalton, H.; Scalice, D.; Planetary Science E/Po Community

2010-12-01

YSS offers the opportunity to raise awareness, build excitement, and make connections with educators, students and the public about planetary science activities. The planetary science education and public outreach (E/PO) community is engaging and educating their audiences through ongoing mission and program activities. Based on discussion with partners, the community is presenting its products in the context of monthly thematic topics that are tied to the big questions of planetary science: how did the Sun’s family of planets and bodies originate and how have they evolved; and how did life begin and evolve on Earth, has it evolved elsewhere in our solar system, and what are characteristics that lead to the origins of life? Each month explores different compelling aspects of the solar system - its formation, volcanism, ice, life. Resources, activities, and events are interwoven in thematic context, and presented with ideas through which formal and informal educators can engage their audiences. The month-to-month themes place the big questions in a logical sequence of deepening learning experiences - and highlight mission milestones and viewing events. YSS encourages active participation and communication with its audiences. It includes nation-wide activities, such as a Walk Through the Solar System, held between October 2010 to March 2011, in which museums, libraries, science centers, schools, planetariums, amateur astronomers, and others are kicking off YSS by creating their own scale models of the solar system and sharing their events through online posting of pictures, video, and stories. YSS offers the E/PO community the opportunity to collaborate with each other and partners. The thematic approach leverages existing products, providing a home and allowing a “shelf life” that can outlast individual projects and missions. The broad themes highlight missions and programs multiple times. YSS also leverages existing online resources and social media. Hosted on the popular and long-lived Solar System Exploration website (http://solarsystem.nasa.gov/yss), multiple points of entry lead to YSS, ensuring sustained accessibility of thematic topics. Likewise, YSS is being shared through social media avenues of existing missions and programs, reaching a large audience without investment in building a fan-base on YSS-specific social media conduits. Create and share your own YSS event with the tools and resources offered on the website. Join the celebration!

ChRIS--A web-based neuroimaging and informatics system for collecting, organizing, processing, visualizing and sharing of medical data.

PubMed

Pienaar, Rudolph; Rannou, Nicolas; Bernal, Jorge; Hahn, Daniel; Grant, P Ellen

2015-01-01

The utility of web browsers for general purpose computing, long anticipated, is only now coming into fruition. In this paper we present a web-based medical image data and information management software platform called ChRIS ([Boston] Children's Research Integration System). ChRIS' deep functionality allows for easy retrieval of medical image data from resources typically found in hospitals, organizes and presents information in a modern feed-like interface, provides access to a growing library of plugins that process these data - typically on a connected High Performance Compute Cluster, allows for easy data sharing between users and instances of ChRIS and provides powerful 3D visualization and real time collaboration.

Design & implementation of distributed spatial computing node based on WPS

NASA Astrophysics Data System (ADS)

Liu, Liping; Li, Guoqing; Xie, Jibo

2014-03-01

Currently, the research work of SIG (Spatial Information Grid) technology mostly emphasizes on the spatial data sharing in grid environment, while the importance of spatial computing resources is ignored. In order to implement the sharing and cooperation of spatial computing resources in grid environment, this paper does a systematical research of the key technologies to construct Spatial Computing Node based on the WPS (Web Processing Service) specification by OGC (Open Geospatial Consortium). And a framework of Spatial Computing Node is designed according to the features of spatial computing resources. Finally, a prototype of Spatial Computing Node is implemented and the relevant verification work under the environment is completed.

Semantic Document Model to Enhance Data and Knowledge Interoperability

NASA Astrophysics Data System (ADS)

Nešić, Saša

To enable document data and knowledge to be efficiently shared and reused across application, enterprise, and community boundaries, desktop documents should be completely open and queryable resources, whose data and knowledge are represented in a form understandable to both humans and machines. At the same time, these are the requirements that desktop documents need to satisfy in order to contribute to the visions of the Semantic Web. With the aim of achieving this goal, we have developed the Semantic Document Model (SDM), which turns desktop documents into Semantic Documents as uniquely identified and semantically annotated composite resources, that can be instantiated into human-readable (HR) and machine-processable (MP) forms. In this paper, we present the SDM along with an RDF and ontology-based solution for the MP document instance. Moreover, on top of the proposed model, we have built the Semantic Document Management System (SDMS), which provides a set of services that exploit the model. As an application example that takes advantage of SDMS services, we have extended MS Office with a set of tools that enables users to transform MS Office documents (e.g., MS Word and MS PowerPoint) into Semantic Documents, and to search local and distant semantic document repositories for document content units (CUs) over Semantic Web protocols.

Discrete Resource Allocation in Visual Working Memory

ERIC Educational Resources Information Center

Barton, Brian; Ester, Edward F.; Awh, Edward

2009-01-01

Are resources in visual working memory allocated in a continuous or a discrete fashion? On one hand, flexible resource models suggest that capacity is determined by a central resource pool that can be flexibly divided such that items of greater complexity receive a larger share of resources. On the other hand, if capacity in working memory is…

Overview of the LINCS architecture

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

Fletcher, J.G.; Watson, R.W.

1982-01-13

Computing at the Lawrence Livermore National Laboratory (LLNL) has evolved over the past 15 years with a computer network based resource sharing environment. The increasing use of low cost and high performance micro, mini and midi computers and commercially available local networking systems will accelerate this trend. Further, even the large scale computer systems, on which much of the LLNL scientific computing depends, are evolving into multiprocessor systems. It is our belief that the most cost effective use of this environment will depend on the development of application systems structured into cooperating concurrent program modules (processes) distributed appropriately over differentmore » nodes of the environment. A node is defined as one or more processors with a local (shared) high speed memory. Given the latter view, the environment can be characterized as consisting of: multiple nodes communicating over noisy channels with arbitrary delays and throughput, heterogenous base resources and information encodings, no single administration controlling all resources, distributed system state, and no uniform time base. The system design problem is - how to turn the heterogeneous base hardware/firmware/software resources of this environment into a coherent set of resources that facilitate development of cost effective, reliable, and human engineered applications. We believe the answer lies in developing a layered, communication oriented distributed system architecture; layered and modular to support ease of understanding, reconfiguration, extensibility, and hiding of implementation or nonessential local details; communication oriented because that is a central feature of the environment. The Livermore Interactive Network Communication System (LINCS) is a hierarchical architecture designed to meet the above needs. While having characteristics in common with other architectures, it differs in several respects.« less

A suite of R packages for web-enabled modeling and analysis of surface waters

NASA Astrophysics Data System (ADS)

Read, J. S.; Winslow, L. A.; Nüst, D.; De Cicco, L.; Walker, J. I.

2014-12-01

Researchers often create redundant methods for downloading, manipulating, and analyzing data from online resources. Moreover, the reproducibility of science can be hampered by complicated and voluminous data, lack of time for documentation and long-term maintenance of software, and fear of exposing programming skills. The combination of these factors can encourage unshared one-off programmatic solutions instead of openly provided reusable methods. Federal and academic researchers in the water resources and informatics domains have collaborated to address these issues. The result of this collaboration is a suite of modular R packages that can be used independently or as elements in reproducible analytical workflows. These documented and freely available R packages were designed to fill basic needs for the effective use of water data: the retrieval of time-series and spatial data from web resources (dataRetrieval, geoknife), performing quality assurance and quality control checks of these data with robust statistical methods (sensorQC), the creation of useful data derivatives (including physically- and biologically-relevant indices; GDopp, LakeMetabolizer), and the execution and evaluation of models (glmtools, rLakeAnalyzer). Here, we share details and recommendations for the collaborative coding process, and highlight the benefits of an open-source tool development pattern with a popular programming language in the water resources discipline (such as R). We provide examples of reproducible science driven by large volumes of web-available data using these tools, explore benefits of accessing packages as standardized web processing services (WPS) and present a working platform that allows domain experts to publish scientific algorithms in a service-oriented architecture (WPS4R). We assert that in the era of open data, tools that leverage these data should also be freely shared, transparent, and developed in an open innovation environment.

The Research and Application of Information Platform About Community Support Intervention for Patients with Alcohol Dependence.

PubMed

Yang, Liqun

2016-01-01

Through the establishment of electronic health records, health education and measures such as regional information sharing platform, we explored the management of patients with alcohol dependence living in communities and established a medical information resource sharing model between mental hospital-community to strengthen the supportive intervention management of patients with alcohol dependence, improve the effect of intervention and reduce the rate of compound drink. To design the questionnaire of health state for patients with alcohol dependence. After data collection. We should establish electronic health records and community support intervention, make medical health card with terminal configuration card reader in both mental hospitals and community, develop information platform, establish a variety of supporting interventions and the service function modules, unblock information sharing between hospitals and community to make full use of the platform to carry out health education and health intervention management. The effectives of community supportive intervention are improved, rehabilitation rate of patients is reduced greatly, bad ways of life behavior are better. Establishing electronic health records is an important mean of community supportive interventions which is good for Real-time, dynamic management and promoting self-management skills making the dream of medical information resource between hospital-community sharing come true.

Study of Sharing Knowledge Resources in Business Schools

ERIC Educational Resources Information Center

Ranjan, Jayanthi

2011-01-01

Purpose: The purpose of this paper is to propose a common business school framework based on knowledge resources that are available in business schools. To support the arguments made based on review literature, the paper presents the holistic framework of knowledge resources in a business school and also provides a knowledge value chain in sharing…

ASK-LDT 2.0: A Web-Based Graphical Tool for Authoring Learning Designs

ERIC Educational Resources Information Center

Zervas, Panagiotis; Fragkos, Konstantinos; Sampson, Demetrios G.

2013-01-01

During the last decade, Open Educational Resources (OERs) have gained increased attention for their potential to support open access, sharing and reuse of digital educational resources. Therefore, a large amount of digital educational resources have become available worldwide through web-based open access repositories which are referred to as…

Resource integration and shared outcomes at the watershed scale

Treesearch

Eleanor S. Towns

2000-01-01

Shared resources are universal resources that are vital for sustaining communities, enhancing our quality of life and preserving ecosystem health. We have a shared responsibility to conserve shared resources and preserve their integrity for future generations. Resource integration is accomplished through ecosystem management, often at a watershed scale. The shared...

Gender Discrimination in the Allocation of Migrant Household Resources*

PubMed Central

Antman, Francisca M.

2016-01-01

This paper considers the relationship between international migration and gender discrimination through the lens of decision-making power over intrahousehold resource allocation. The endogeneity of migration is addressed with a difference-in-differences style identification strategy and a model with household fixed effects. The results suggest that while a migrant household head is away, a greater share of resources is spent on girls relative to boys and his spouse commands greater decision-making power. Once the head returns home, however, a greater share of resources goes to boys and there is suggestive evidence of greater authority for the head of household. PMID:27546986

Applying Service-Oriented Architecture on The Development of Groundwater Modeling Support System

NASA Astrophysics Data System (ADS)

Li, C. Y.; WANG, Y.; Chang, L. C.; Tsai, J. P.; Hsiao, C. T.

2016-12-01

Groundwater simulation has become an essential step on the groundwater resources management and assessment. There are many stand-alone pre- and post-processing software packages to alleviate the model simulation loading, but the stand-alone software do not consider centralized management of data and simulation results neither do they provide network sharing functions. Hence, it is difficult to share and reuse the data and knowledge (simulation cases) systematically within or across companies. Therefore, this study develops a centralized and network based groundwater modeling support system to assist model construction. The system is based on service-oriented architecture and allows remote user to develop their modeling cases on internet. The data and cases (knowledge) are thus easy to manage centralized. MODFLOW is the modeling engine of the system, which is the most popular groundwater model in the world. The system provides a data warehouse to restore groundwater observations, MODFLOW Support Service, MODFLOW Input File & Shapefile Convert Service, MODFLOW Service, and Expert System Service to assist researchers to build models. Since the system architecture is service-oriented, it is scalable and flexible. The system can be easily extended to include the scenarios analysis and knowledge management to facilitate the reuse of groundwater modeling knowledge.

Utilization of an interorganizational network analysis to evaluate the development of community capacity among a community-academic partnership.

PubMed

Clark, Heather R; Ramirez, Albert; Drake, Kelly N; Beaudoin, Christopher E; Garney, Whitney R; Wendel, Monica L; Outley, Corliss; Burdine, James N; Player, Harold D

2014-01-01

Following a community health assessment the Brazos Valley Health Partnership (BVHP) organized to address fragmentation of services and local health needs. This regional partnership employs the fundamental principles of community-based participatory research, fostering an equitable partnership with the aim of building community capacity to address local health issues. This article describes changes in relationships as a result of capacity building efforts in a community-academic partnership. Growth in network structure among organizations is hypothesized to be indicative of less fragmentation of services for residents and increased capacity of the BVHP to collectively address local health issues. Each of the participant organizations responded to a series of questions regarding its relationships with other organizations. Each organization was asked about information sharing, joint planning, resource sharing, and formal agreements with other organizations. The network survey has been administered 3 times between 2004 and 2009. Network density increased for sharing information and jointly planning events. Growth in the complexity of relationships was reported for sharing tangible resources and formal agreements. The average number of ties between organizations as well as the strength of relationships increased. This study provides evidence that the community capacity building efforts within these communities have contributed to beneficial changes in interorganizational relationships. Results from this analysis are useful for understanding how a community partnership's efforts to address access to care can strengthen a community's capacity for future action. Increased collaboration also leads to new assets, resources, and the transfer of knowledge and skills.

Governance of global health research consortia: Sharing sovereignty and resources within Future Health Systems.

PubMed

Pratt, Bridget; Hyder, Adnan A

2017-02-01

Global health research partnerships are increasingly taking the form of consortia that conduct programs of research in low and middle-income countries (LMICs). An ethical framework has been developed that describes how the governance of consortia comprised of institutions from high-income countries and LMICs should be structured to promote health equity. It encompasses initial guidance for sharing sovereignty in consortia decision-making and sharing consortia resources. This paper describes a first effort to examine whether and how consortia can uphold that guidance. Case study research was undertaken with the Future Health Systems consortium, performs research to improve health service delivery for the poor in Bangladesh, China, India, and Uganda. Data were thematically analysed and revealed that proposed ethical requirements for sharing sovereignty and sharing resources are largely upheld by Future Health Systems. Facilitating factors included having a decentralised governance model, LMIC partners with good research capacity, and firm budgets. Higher labour costs in the US and UK and the funder's policy of allocating funds to consortia on a reimbursement basis prevented full alignment with guidance on sharing resources. The lessons described in this paper can assist other consortia to more systematically link their governance policy and practice to the promotion of health equity. Copyright © 2016 Elsevier Ltd. All rights reserved.

Using social marketing to understand the family dinner with working mothers.

PubMed

Martinasek, Mary P; DeBate, Rita D; Walvoord, Ashley G; Melton, Stephanie T; Himmelgreen, David; Allen, Tammy D; McDermott, Robert J

2010-01-01

The family dinner is a valued tradition that affords opportunities for social interaction and attachment, as well as sharing events of the day, role modeling, connectedness, and problem solving. Guided by the social-marketing framework, this study explored factors associated with the frequency of the family dinner among working mothers with children ages 8-11 years. A qualitative design was used, employing focus groups and Atlas-ti software for thematic analysis. Lack of time, cost, and exhaustion/lack of energy emerged as barriers. Working mothers indicated that a youth-based organization operating as a community partner could increase the frequency of the family dinner by helping with homework completion during after-school care, thereby providing mothers with the time necessary to prepare dinner. This research identified both community partners and working mothers as valued resources for prevention strategies. Interventions developed to increase family dinner frequency should emphasize the perceived value while decreasing the costs/barriers.

Dynamics of a delayed intraguild predation model with harvesting

NASA Astrophysics Data System (ADS)

Collera, Juancho A.; Balilo, Aldrin T.

2018-03-01

In [1], a delayed three-species intraguild predation (IGP) model was considered. This particular tri-trophic community module includes a predator and its prey which share a common basal resource for their sustenance [3]. Here, it is assumed that in the absence of predation, the growth of the basal resource follows the delayed logistic equation. Without delay time, the IGP model in [1] reduces to the system considered in [7] where it was shown that IGP may induce chaos even if the functional responses are linear. Meanwhile, in [2] the delayed IGP model in [1] was generalized to include harvesting. Under the assumption that the basal resource has some economic value, a constant harvesting term on the basal resource was incorporated. However, both models in [1] and [2] use the delay time as the main parameter. In this research, we studied the delayed IGP model in [1] with the addition of linear harvesting term on each of the three species. The dynamical behavior of this system is examined using the harvesting rates as main parameter. In particular, we give conditions on the existence, stability, and bifurcations of equilibrium solutions of this system. This allows us to better understand the effects of harvesting in terms of the survival or extinction of one or more species in our system. Numerical simulations are carried out to illustrate our results. In fact, we show that the chaotic behavior in [7] unfolds when the harvesting rate parameter is varied.

NeuronDepot: keeping your colleagues in sync by combining modern cloud storage services, the local file system, and simple web applications

PubMed Central

Rautenberg, Philipp L.; Kumaraswamy, Ajayrama; Tejero-Cantero, Alvaro; Doblander, Christoph; Norouzian, Mohammad R.; Kai, Kazuki; Jacobsen, Hans-Arno; Ai, Hiroyuki; Wachtler, Thomas; Ikeno, Hidetoshi

2014-01-01

Neuroscience today deals with a “data deluge” derived from the availability of high-throughput sensors of brain structure and brain activity, and increased computational resources for detailed simulations with complex output. We report here (1) a novel approach to data sharing between collaborating scientists that brings together file system tools and cloud technologies, (2) a service implementing this approach, called NeuronDepot, and (3) an example application of the service to a complex use case in the neurosciences. The main drivers for our approach are to facilitate collaborations with a transparent, automated data flow that shields scientists from having to learn new tools or data structuring paradigms. Using NeuronDepot is simple: one-time data assignment from the originator and cloud based syncing—thus making experimental and modeling data available across the collaboration with minimum overhead. Since data sharing is cloud based, our approach opens up the possibility of using new software developments and hardware scalabitliy which are associated with elastic cloud computing. We provide an implementation that relies on existing synchronization services and is usable from all devices via a reactive web interface. We are motivating our solution by solving the practical problems of the GinJang project, a collaboration of three universities across eight time zones with a complex workflow encompassing data from electrophysiological recordings, imaging, morphological reconstructions, and simulations. PMID:24971059

NeuronDepot: keeping your colleagues in sync by combining modern cloud storage services, the local file system, and simple web applications.

PubMed

Rautenberg, Philipp L; Kumaraswamy, Ajayrama; Tejero-Cantero, Alvaro; Doblander, Christoph; Norouzian, Mohammad R; Kai, Kazuki; Jacobsen, Hans-Arno; Ai, Hiroyuki; Wachtler, Thomas; Ikeno, Hidetoshi

2014-01-01

Neuroscience today deals with a "data deluge" derived from the availability of high-throughput sensors of brain structure and brain activity, and increased computational resources for detailed simulations with complex output. We report here (1) a novel approach to data sharing between collaborating scientists that brings together file system tools and cloud technologies, (2) a service implementing this approach, called NeuronDepot, and (3) an example application of the service to a complex use case in the neurosciences. The main drivers for our approach are to facilitate collaborations with a transparent, automated data flow that shields scientists from having to learn new tools or data structuring paradigms. Using NeuronDepot is simple: one-time data assignment from the originator and cloud based syncing-thus making experimental and modeling data available across the collaboration with minimum overhead. Since data sharing is cloud based, our approach opens up the possibility of using new software developments and hardware scalabitliy which are associated with elastic cloud computing. We provide an implementation that relies on existing synchronization services and is usable from all devices via a reactive web interface. We are motivating our solution by solving the practical problems of the GinJang project, a collaboration of three universities across eight time zones with a complex workflow encompassing data from electrophysiological recordings, imaging, morphological reconstructions, and simulations.

The AHEC library program and consortia development in California.

PubMed

Jensen, M A; Maddalena, B

1986-07-01

A brief history of the first Area Health Education Center (AHEC) Library Program in California is presented, with a description of methodology and results. The goals of this program were to develop and improve hospital library resources and services, to train hospital library personnel, and to promote resource sharing in a medically underserved area. The health sciences library consortium that evolved became a model for the ten other library consortia in the state. Based on AHEC's twelve years' experience with consortia, from 1973 to 1985, recommendations are made as to size, composition, leadership, outside funding, group participation, publicity, and linkages.

Emergence and Evolution of Cooperation Under Resource Pressure

PubMed Central

Pereda, María; Zurro, Débora; Santos, José I.; Briz i Godino, Ivan; Álvarez, Myrian; Caro, Jorge; Galán, José M.

2017-01-01

We study the influence that resource availability has on cooperation in the context of hunter-gatherer societies. This paper proposes a model based on archaeological and ethnographic research on resource stress episodes, which exposes three different cooperative regimes according to the relationship between resource availability in the environment and population size. The most interesting regime represents moderate survival stress in which individuals coordinate in an evolutionary way to increase the probabilities of survival and reduce the risk of failing to meet the minimum needs for survival. Populations self-organise in an indirect reciprocity system in which the norm that emerges is to share the part of the resource that is not strictly necessary for survival, thereby collectively lowering the chances of starving. Our findings shed further light on the emergence and evolution of cooperation in hunter-gatherer societies. PMID:28362000

Emergence and Evolution of Cooperation Under Resource Pressure.

PubMed

Pereda, María; Zurro, Débora; Santos, José I; Briz I Godino, Ivan; Álvarez, Myrian; Caro, Jorge; Galán, José M

2017-03-31

We study the influence that resource availability has on cooperation in the context of hunter-gatherer societies. This paper proposes a model based on archaeological and ethnographic research on resource stress episodes, which exposes three different cooperative regimes according to the relationship between resource availability in the environment and population size. The most interesting regime represents moderate survival stress in which individuals coordinate in an evolutionary way to increase the probabilities of survival and reduce the risk of failing to meet the minimum needs for survival. Populations self-organise in an indirect reciprocity system in which the norm that emerges is to share the part of the resource that is not strictly necessary for survival, thereby collectively lowering the chances of starving. Our findings shed further light on the emergence and evolution of cooperation in hunter-gatherer societies.

Emergence and Evolution of Cooperation Under Resource Pressure

NASA Astrophysics Data System (ADS)

Pereda, María; Zurro, Débora; Santos, José I.; Briz I Godino, Ivan; Álvarez, Myrian; Caro, Jorge; Galán, José M.

2017-03-01

We study the influence that resource availability has on cooperation in the context of hunter-gatherer societies. This paper proposes a model based on archaeological and ethnographic research on resource stress episodes, which exposes three different cooperative regimes according to the relationship between resource availability in the environment and population size. The most interesting regime represents moderate survival stress in which individuals coordinate in an evolutionary way to increase the probabilities of survival and reduce the risk of failing to meet the minimum needs for survival. Populations self-organise in an indirect reciprocity system in which the norm that emerges is to share the part of the resource that is not strictly necessary for survival, thereby collectively lowering the chances of starving. Our findings shed further light on the emergence and evolution of cooperation in hunter-gatherer societies.

77 FR 75207 - The Adams Express Company and Petroleum & Resources Corporation; Notice of Application

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-19

... the Fund's long-term total return (in relation to market price and net asset value per common share... fixed percentage of the market price of such Fund's common shares at a particular point in time, or a..., dealer, bank or other person (``financial intermediary'') holds common shares issued by a Fund in nominee...

Shared decision making: empowering the bedside nurse.

PubMed

Slack, Stephanie M; Boguslawski, Jean M; Eickhoff, Rachel M; Klein, Kristi A; Pepin, Teresa M; Schrandt, Kevin; Wise, Carrie A; Zylstra, Jody A

2005-12-01

Shared decision making is a process that has empowered specialty nurses at the Mayo Clinic in Rochester, MN, to solve a practice concern. Staff nurses recognized a lack of concise, collated information available that described what nurses need to know when caring for patients receiving chemotherapy. Many aspects of the administration process were knowledge and experience based and not easily retrievable. The Hematology/Oncology/Blood and Marrow Transplant Clinical Practice Committee identified this as a significant practice issue. Ideas were brainstormed regarding how to make the information available to nursing colleagues. The Chemotherapy Yellow Pages is a resource that was developed to facilitate the rapid retrieval of pertinent information for bedside nurses. The content of this article outlines a'model of shared decision making and the processes used to address and resolve the practice concern.

Interaction and common ground in dementia: Communication across linguistic and cultural diversity in a residential dementia care setting.

PubMed

Strandroos, Lisa; Antelius, Eleonor

2017-09-01

Previous research concerning bilingual people with a dementia disease has mainly focused on the importance of sharing a spoken language with caregivers. While acknowledging this, this article addresses the multidimensional character of communication and interaction. As using spoken language is made difficult as a consequence of the dementia disease, this multidimensionality becomes particularly important. The article is based on a qualitative analysis of ethnographic fieldwork at a dementia care facility. It presents ethnographic examples of different communicative forms, with particular focus on bilingual interactions. Interaction is understood as a collective and collaborative activity. The text finds that a shared spoken language is advantageous, but is not the only source of, nor a guarantee for, creating common ground and understanding. Communicative resources other than spoken language are for example body language, embodiment, artefacts and time. Furthermore, forms of communication are not static but develop, change and are created over time. Ability to communicate is thus not something that one has or has not, but is situationally and collaboratively created. To facilitate this, time and familiarity are central resources, and the results indicate the importance of continuity in interpersonal relations.

Optimization of power utilization in multimobile robot foraging behavior inspired by honeybees system.

PubMed

Ahmad, Faisul Arif; Ramli, Abd Rahman; Samsudin, Khairulmizam; Hashim, Shaiful Jahari

2014-01-01

Deploying large numbers of mobile robots which can interact with each other produces swarm intelligent behavior. However, mobile robots are normally running with finite energy resource, supplied from finite battery. The limitation of energy resource required human intervention for recharging the batteries. The sharing information among the mobile robots would be one of the potentials to overcome the limitation on previously recharging system. A new approach is proposed based on integrated intelligent system inspired by foraging of honeybees applied to multimobile robot scenario. This integrated approach caters for both working and foraging stages for known/unknown power station locations. Swarm mobile robot inspired by honeybee is simulated to explore and identify the power station for battery recharging. The mobile robots will share the location information of the power station with each other. The result showed that mobile robots consume less energy and less time when they are cooperating with each other for foraging process. The optimizing of foraging behavior would result in the mobile robots spending more time to do real work.

Optimization of Power Utilization in Multimobile Robot Foraging Behavior Inspired by Honeybees System

PubMed Central

Ahmad, Faisul Arif; Ramli, Abd Rahman; Samsudin, Khairulmizam; Hashim, Shaiful Jahari

2014-01-01

Deploying large numbers of mobile robots which can interact with each other produces swarm intelligent behavior. However, mobile robots are normally running with finite energy resource, supplied from finite battery. The limitation of energy resource required human intervention for recharging the batteries. The sharing information among the mobile robots would be one of the potentials to overcome the limitation on previously recharging system. A new approach is proposed based on integrated intelligent system inspired by foraging of honeybees applied to multimobile robot scenario. This integrated approach caters for both working and foraging stages for known/unknown power station locations. Swarm mobile robot inspired by honeybee is simulated to explore and identify the power station for battery recharging. The mobile robots will share the location information of the power station with each other. The result showed that mobile robots consume less energy and less time when they are cooperating with each other for foraging process. The optimizing of foraging behavior would result in the mobile robots spending more time to do real work. PMID:24949491

Managing time-substitutable electricity usage using dynamic controls

DOEpatents

Ghosh, Soumyadip; Hosking, Jonathan R.; Natarajan, Ramesh; Subramaniam, Shivaram; Zhang, Xiaoxuan

2017-02-07

A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.

Managing time-substitutable electricity usage using dynamic controls

DOEpatents

Ghosh, Soumyadip; Hosking, Jonathan R.; Natarajan, Ramesh; Subramaniam, Shivaram; Zhang, Xiaoxuan

2017-02-21

A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.

Toward a Geoscientific Semantic Web Based on How Geoscientists Talk Across Disciplines

NASA Astrophysics Data System (ADS)

Peckham, S. D.

2015-12-01

Are there terms and scientific concepts from math and science that almost all geoscientists understand? Is there a limited set of terms, patterns and language elements that geoscientists use for efficient, unambiguous communication that could be used to describe the variables that they measure, store in data sets and use as model inputs and outputs? In this talk it will be argued that the answer to both questions is "yes" by drawing attention to many such patterns and then showing how they have been used to create a rich set of naming conventions for variables called the CSDMS Standard Names. Variables, which store numerical quantities associated with specific objects, are the fundamental currency of science. They are the items that are measured and saved in data sets, which may then be read into models. They are the inputs and outputs of models and the items exchanged between coupled models. They also star in the equations that summarize our scientific knowledge. Carefully constructed, unambiguous and unique labels for commonly used variables therefore provide an attractive mechanism for automatic semantic mediation when variables are to be shared between heterogeous resources. They provide a means to automatically check for semantic equivalence so that variables can be safely shared in resource compositions. A good set of standardized variable names can serve as the hub in a hub-and-spoke solution to semantic mediation, where the "internal vocabularies" of geoscience resources (i.e. data sets and models) are mapped to and from the hub to facilitate interoperability and data sharing. When built from patterns and terms that most geoscientists are already familiar with, these standardized variable names are then "readable" by both humans and machines. Despite the importance of variables in scientific work, most of the ontological work in the geosciences is focused at a higher level that supports finding resources (e.g data sets) but not on describing the contents of those resources. The CSDMS Standard Names have matured continuously since they were first introduced over three years ago. Many recent extensions and applications of them (e.g. different science domains, different projects, new rules, ontological work) as well as their compatibility with the International System of Quantities (ISO 80000) will be discussed.

Negotiation Support Systems for Facilitating International Water Conflicts

NASA Astrophysics Data System (ADS)

Mirchi, A.; Madani, K.; Rouhani, O. M.

2011-12-01

Two decades after the collapse of the Soviet Union, Caspian Sea -the largest inland body of water on earth- continues to be the subject of one of the world's most insurmountable disputes, involving Iran, Russia, and the new sovereign states of Azerbaijan, Kazakhstan, and Turkmenistan. The conflict is over the legal status of this multinational water body, which supplies almost all of the world's black caviar, and holds about 10% and 4% of the world's oil and gas reserves, respectively. Typically, proposed division methods for sharing the Caspian Sea and its valuable resources focus either on the areal shares or on the oil and gas shares of the parties. As such, total gains of littoral states under different division methods have remained unclear. In this study, we have developed the Caspian Sea Negotiation Support System (NSS) to delineate optimal boundaries for sharing the sea. The Caspian Sea NSS facilitates simultaneous consideration of the countries' areal and resource shares from the sea under different sharing methods. The developed model is run under different division scenarios to provide insights into the sensitivity of the countries' gains and locations of nautical boundaries to the proposed division rules and the economic values of the Caspian Sea resources. The results are highly sensitive to the proposed division rules, and there is an indirect relationship between the allocated area and resource shares. The main policy implication of the study is that explicit quantification of the countries' resource and areal gains under any suggested legal regime for governing the Caspian Sea is a precursor the success of the negotiations.

A novel resource sharing algorithm based on distributed construction for radiant enclosure problems

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

Finzell, Peter; Bryden, Kenneth M.

This study demonstrates a novel approach to solving inverse radiant enclosure problems based on distributed construction. Specifically, the problem of determining the temperature distribution needed on the heater surfaces to achieve a desired design surface temperature profile is recast as a distributed construction problem in which a shared resource, temperature, is distributed by computational agents moving blocks. The sharing of blocks between agents enables them to achieve their desired local state, which in turn achieves the desired global state. Each agent uses the current state of their local environment and a simple set of rules to determine when to exchangemore » blocks, each block representing a discrete unit of temperature change. This algorithm is demonstrated using the established two-dimensional inverse radiation enclosure problem. The temperature profile on the heater surfaces is adjusted to achieve a desired temperature profile on the design surfaces. The resource sharing algorithm was able to determine the needed temperatures on the heater surfaces to obtain the desired temperature distribution on the design surfaces in the nine cases examined.« less

A novel resource sharing algorithm based on distributed construction for radiant enclosure problems

DOE PAGES

Finzell, Peter; Bryden, Kenneth M.

2017-03-06

This study demonstrates a novel approach to solving inverse radiant enclosure problems based on distributed construction. Specifically, the problem of determining the temperature distribution needed on the heater surfaces to achieve a desired design surface temperature profile is recast as a distributed construction problem in which a shared resource, temperature, is distributed by computational agents moving blocks. The sharing of blocks between agents enables them to achieve their desired local state, which in turn achieves the desired global state. Each agent uses the current state of their local environment and a simple set of rules to determine when to exchangemore » blocks, each block representing a discrete unit of temperature change. This algorithm is demonstrated using the established two-dimensional inverse radiation enclosure problem. The temperature profile on the heater surfaces is adjusted to achieve a desired temperature profile on the design surfaces. The resource sharing algorithm was able to determine the needed temperatures on the heater surfaces to obtain the desired temperature distribution on the design surfaces in the nine cases examined.« less

The sharing of water between society and ecosystems: from conflict to catchment-based co-management.

PubMed Central

Wallace, J S; Acreman, M C; Sullivan, C A

2003-01-01

Human uses of freshwater resources are increasing rapidly as the world population rises. As this happens, less water is left to support aquatic and associated ecosystems. To minimize future human water shortages and undesirable environmental impacts, more equitable sharing of water resources between society and nature is required. This will require physical quantities and social values to be placed on both human and aquatic ecosystem requirements. Current water valuation systems are dominated by economic values and this paper illustrates new quantification and valuation methods that take more account of human well-being and environmental impacts. The key to the effective implementation of these more equitable water allocation methods is the use of catchment-based integrated water resources management. This holistic framework makes it possible for human and ecosystem water requirements and the interactions between them to be better understood. This knowledge provides the foundation for incorporating relevant social factors so that water policies and laws can be developed to make best use of limited water resources. Catchment-based co-management can therefore help to ensure more effective sharing of water between people and nature. PMID:14728795

The Community Resource Person's Guide for Experience-Based Learning.

ERIC Educational Resources Information Center

Burt, Ruth Fredine; Douglas, Marcia

The booklet is a guide for community resource people who have agreed to share their job experiences with high school students involved in experience-based learning programs. The programs allow students to observe and participate in the daily routines required in careers they may wish to pursue. Resource people can use this booklet to determine how…

WebGIS based on semantic grid model and web services

NASA Astrophysics Data System (ADS)

Zhang, WangFei; Yue, CaiRong; Gao, JianGuo

2009-10-01

As the combination point of the network technology and GIS technology, WebGIS has got the fast development in recent years. With the restriction of Web and the characteristics of GIS, traditional WebGIS has some prominent problems existing in development. For example, it can't accomplish the interoperability of heterogeneous spatial databases; it can't accomplish the data access of cross-platform. With the appearance of Web Service and Grid technology, there appeared great change in field of WebGIS. Web Service provided an interface which can give information of different site the ability of data sharing and inter communication. The goal of Grid technology was to make the internet to a large and super computer, with this computer we can efficiently implement the overall sharing of computing resources, storage resource, data resource, information resource, knowledge resources and experts resources. But to WebGIS, we only implement the physically connection of data and information and these is far from the enough. Because of the different understanding of the world, following different professional regulations, different policies and different habits, the experts in different field will get different end when they observed the same geographic phenomenon and the semantic heterogeneity produced. Since these there are large differences to the same concept in different field. If we use the WebGIS without considering of the semantic heterogeneity, we will answer the questions users proposed wrongly or we can't answer the questions users proposed. To solve this problem, this paper put forward and experienced an effective method of combing semantic grid and Web Services technology to develop WebGIS. In this paper, we studied the method to construct ontology and the method to combine Grid technology and Web Services and with the detailed analysis of computing characteristics and application model in the distribution of data, we designed the WebGIS query system driven by ontology based on Grid technology and Web Services.

An innovative time-cost-quality tradeoff modeling of building construction project based on resource allocation.

PubMed

Hu, Wenfa; He, Xinhua

2014-01-01

The time, quality, and cost are three important but contradictive objectives in a building construction project. It is a tough challenge for project managers to optimize them since they are different parameters. This paper presents a time-cost-quality optimization model that enables managers to optimize multiobjectives. The model is from the project breakdown structure method where task resources in a construction project are divided into a series of activities and further into construction labors, materials, equipment, and administration. The resources utilized in a construction activity would eventually determine its construction time, cost, and quality, and a complex time-cost-quality trade-off model is finally generated based on correlations between construction activities. A genetic algorithm tool is applied in the model to solve the comprehensive nonlinear time-cost-quality problems. Building of a three-storey house is an example to illustrate the implementation of the model, demonstrate its advantages in optimizing trade-off of construction time, cost, and quality, and help make a winning decision in construction practices. The computational time-cost-quality curves in visual graphics from the case study prove traditional cost-time assumptions reasonable and also prove this time-cost-quality trade-off model sophisticated.

A structurally based analytic model of growth and biomass dynamics in single species stands of conifers

Treesearch

Robin J. Tausch

2015-01-01

A theoretically based analytic model of plant growth in single species conifer communities based on the species fully occupying a site and fully using the site resources is introduced. Model derivations result in a single equation simultaneously describes changes over both, different site conditions (or resources available), and over time for each variable for each...

An academic-health service partnership in nursing: lessons from the field.

PubMed

Granger, Bradi B; Prvu-Bettger, Janet; Aucoin, Julia; Fuchs, Mary Ann; Mitchell, Pamela H; Holditch-Davis, Diane; Roth, Deborah; Califf, Robert M; Gilliss, Catherine L

2012-03-01

To describe the development of an academic-health services partnership undertaken to improve use of evidence in clinical practice. Academic health science schools and health service settings share common elements of their missions: to educate, participate in research, and excel in healthcare delivery, but differences in the business models, incentives, and approaches to problem solving can lead to differences in priorities. Thus, academic and health service settings do not naturally align their leadership structures or work processes. We established a common commitment to accelerate the appropriate use of evidence in clinical practice and created an organizational structure to optimize opportunities for partnering that would leverage shared resources to achieve our goal. A jointly governed and funded institute integrated existing activities from the academic and service sectors. Additional resources included clinical staff and student training and mentoring, a pilot research grant-funding program, and support to access existing data. Emergent developments include an appreciation for a wider range of investigative methodologies and cross-disciplinary teams with skills to integrate research in daily practice and improve patient outcomes. By developing an integrated leadership structure and commitment to shared goals, we developed a framework for integrating academic and health service resources, leveraging additional resources, and forming a mutually beneficial partnership to improve clinical outcomes for patients. Structurally integrated academic-health service partnerships result in improved evidence-based patient care delivery and in a stronger foundation for generating new clinical knowledge, thus improving patient outcomes. © 2012 Sigma Theta Tau International.

Sharing Service Resource Information for Application Integration in a Virtual Enterprise - Modeling the Communication Protocol for Exchanging Service Resource Information

NASA Astrophysics Data System (ADS)

Yamada, Hiroshi; Kawaguchi, Akira

Grid computing and web service technologies enable us to use networked resources in a coordinated manner. An integrated service is made of individual services running on coordinated resources. In order to achieve such coordinated services autonomously, the initiator of a coordinated service needs to know detailed service resource information. This information ranges from static attributes like the IP address of the application server to highly dynamic ones like the CPU load. The most famous wide-area service discovery mechanism based on names is DNS. Its hierarchical tree organization and caching methods take advantage of the static information managed. However, in order to integrate business applications in a virtual enterprise, we need a discovery mechanism to search for the optimal resources based on the given a set of criteria (search keys). In this paper, we propose a communication protocol for exchanging service resource information among wide-area systems. We introduce the concept of the service domain that consists of service providers managed under the same management policy. This concept of the service domain is similar to that for autonomous systems (ASs). In each service domain, the service information provider manages the service resource information of service providers that exist in this service domain. The service resource information provider exchanges this information with other service resource information providers that belong to the different service domains. We also verified the protocol's behavior and effectiveness using a simulation model developed for proposed protocol.

Nebhydro: Sharing Geospatial Data to Supportwater Management in Nebraska

NASA Astrophysics Data System (ADS)

Kamble, B.; Irmak, A.; Hubbard, K.; Deogun, J.; Dvorak, B.

2012-12-01

Recent advances in web-enabled geographical technologies have the potential to make a dramatic impact on development of highly interactive spatial applications on the web for visualization of large-scale geospatial data by water resources and irrigation scientists. Spatial and point scale water resources data visualization are an emerging and challenging application domain. Query based visual explorations of geospatial hydrological data can play an important role in stimulating scientific hypotheses and seeking causal relationships among hydro variables. The Nebraska Hydrological Information System (NebHydro) utilizes ESRI's ArcGIS server technology to increase technological awareness among farmers, irrigation managers and policy makers. Web-based geospatial applications are an effective way to expose scientific hydrological datasets to the research community and the public. NebHydro uses Adobe Flex technology to offer an online visualization and data analysis system for presentation of social and economic data. Internet mapping services is an integrated product of GIS and Internet technologies; it is a favored solution to achieve the interoperability of GIS. The development of Internet based GIS services in the state of Nebraska showcases the benefits of sharing geospatial hydrological data among agencies, resource managers and policy makers. Geospatial hydrological Information (Evapotranspiration from Remote Sensing, vegetation indices (NDVI), USGS Stream gauge data, Climatic data etc.) is generally generated through model simulation (METRIC, SWAP, Linux, Python based scripting etc). Information is compiled into and stored within object oriented relational spatial databases using a geodatabase information model that supports the key data types needed by applications including features, relationships, networks, imagery, terrains, maps and layers. The system provides online access, querying, visualization, and analysis of the hydrological data from several sources at one place. The study indicates that internet GIS, developed using advanced technologies, provides valuable education potential to users in hydrology and irrigation engineering and suggests that such a system can support advanced hydrological data access and analysis tools to improve utility of data in operations. Keywords: Hydrological Information System, NebHydro, Water Management, data sharing, data visualization, ArcGIS server.

Shared Canadian Curriculum in Family Medicine (SHARC-FM): Creating a national consensus on relevant and practical training for medical students.

PubMed

Keegan, David A; Scott, Ian; Sylvester, Michael; Tan, Amy; Horrey, Kathleen; Weston, W Wayne

2017-04-01

In 2006, leaders of undergraduate family medicine education programs faced a series of increasing curriculum mandates in the context of limited time and financial resources. Additionally, it became apparent that a hidden curriculum against family medicine as a career choice was active in medical schools. The Shared Canadian Curriculum in Family Medicine was developed by the Canadian Undergraduate Family Medicine Education Directors and supported by the College of Family Physicians of Canada as a national collaborative project to support medical student training in family medicine clerkship. Its key objective is to enable education leaders to meet their educational mandates, while at the same time countering the hidden curriculum and providing a route to scholarship. The Shared Canadian Curriculum in Family Medicine is an open-access, shared, national curriculum ( www.sharcfm.ca ). It contains 23 core clinical topics (determined through a modified Delphi process) with demonstrable objectives for each. It also includes low- and medium-fidelity virtual patient cases, point-of-care learning resources (clinical cards), and assessment tools, all aligned with the core topics. French translation of the resources is ongoing. The core topics, objectives, and educational resources have been adopted by medical schools across Canada, according to their needs. The lessons learned from mounting this multi-institutional collaborative project will help others develop their own collaborative curricula. Copyright© the College of Family Physicians of Canada.

Information technology implementing globalization on strategies for quality care provided to children submitted to cardiac surgery: International Quality Improvement Collaborative Program--IQIC.

PubMed

Sciarra, Adilia Maria Pires; Croti, Ulisses Alexandre; Batigalia, Fernando

2014-01-01

Congenital heart diseases are the world's most common major birth defect, affecting one in every 120 children. Ninety percent of these children are born in areas where appropriate medical care is inadequate or unavailable. To share knowledge and experience between an international center of excellence in pediatric cardiac surgery and a related program in Brazil. The strategy used by the program was based on long-term technological and educational support models used in that center, contributing to the creation and implementation of new programs. The Telemedicine platform was used for real-time monthly broadcast of themes. A chat software was used for interaction between participating members and the group from the center of excellence. Professionals specialized in care provided to the mentioned population had the opportunity to share to the knowledge conveyed. It was possible to observe that the technological resources that implement the globalization of human knowledge were effective in the dissemination and improvement of the team regarding the care provided to children with congenital heart diseases.

Information technology implementing globalization on strategies for quality care provided to children submitted to cardiac surgery: International Quality Improvement Collaborative Program - IQIC

PubMed Central

Sciarra, Adilia Maria Pires; Croti, Ulisses Alexandre; Batigalia, Fernando

2014-01-01

Introduction Congenital heart diseases are the world's most common major birth defect, affecting one in every 120 children. Ninety percent of these children are born in areas where appropriate medical care is inadequate or unavailable. Objective To share knowledge and experience between an international center of excellence in pediatric cardiac surgery and a related program in Brazil. Methods The strategy used by the program was based on long-term technological and educational support models used in that center, contributing to the creation and implementation of new programs. The Telemedicine platform was used for real-time monthly broadcast of themes. A chat software was used for interaction between participating members and the group from the center of excellence. Results Professionals specialized in care provided to the mentioned population had the opportunity to share to the knowledge conveyed. Conclusion It was possible to observe that the technological resources that implement the globalization of human knowledge were effective in the dissemination and improvement of the team regarding the care provided to children with congenital heart diseases. PMID:24896168

The ElderSmile TimeMap: Benefits of Connecting Statistics With Time and Place.

PubMed

Kum, Susan S; Wang, Hua; Wang, Peng; Jin, Zhu; De La Cruz, Leydis; Northridge, Mary E; Kunzel, Carol; Marshall, Stephen E; Metcalf, Sara S

2015-09-01

Community-based programs are critical for locally targeted public health education and accessible service delivery. Deriving useful information from such programs is important for their own evaluation and improvement and may facilitate research collaboration with partners and experts. Here we present an interactive Web-based application designed for a community-based oral health outreach program called ElderSmile to demonstrate how data can be summarized, filtered, compared, and visualized by time and place to inform program planning, evaluation, and research. The ElderSmile TimeMap ( http://www.acsu.buffalo.edu/∼smetcalf/resources/timemap.html ) is an emergent product of a US National Institutes of Health-funded collaboration of knowledge sharing among multidisciplinary team members at the University at Buffalo, Columbia University, and New York University.

Linkages between public and non-government sectors in healthcare: A case study from Uttar Pradesh, India.

PubMed

Srivastava, Aradhana; Bhattacharyya, Sanghita; Gautham, Meenakshi; Schellenberg, Joanna; Avan, Bilal I

2016-12-01

Effective utilisation of collaborative non-governmental organisation (NGO)-public health system linkages in pluralistic health systems of developing countries can substantially improve equity and quality of services. This study explores level and types of linkages between public health sector and NGOs in Uttar Pradesh (UP), an underprivileged state of India, using a social science model for the first time. It also identifies gaps and challenges for effective linkage. Two NGOs were selected as case studies. Data collection included semi-structured in-depth interviews with senior staff and review of records and reporting formats. Formal linkages of NGOs with the public health system related to registration, participation in district level meetings, workforce linkages and sharing information on government-supported programmes. Challenges included limited data sharing, participation in planning and limited monitoring of regulatory compliances. Linkage between public health system and NGOs in UP was moderate, marked by frequent interaction and some reciprocity in information and resource flows, but weak participation in policy and planning. The type of linkage could be described as 'complementarity', entailing information and resource sharing but not joint action. Stronger linkage is required for sustained and systematic collaboration, with joint planning, implementation and evaluation.

Shared Governance.

ERIC Educational Resources Information Center

Mortenson, Robert A.

The MINK (Missouri, Iowa, Nebraska, and Kansas) Network Educational Resources Center is a regional, collaborative effort among Teacher Corps Projects and a model of shared governance to improve learning environments and understanding among teacher educators. The governance of this group comes from a Board of Directors comprised of project…

Interaction between workload and training - Converging evidence from psychophysiology and performance measurement

NASA Technical Reports Server (NTRS)

Kramer, Arthur F.

1986-01-01

Traditionally, the domains of mental workload and training have been studied in isolation even though they share many common characteristics. The present paper integrates findings from psychophysiological and performance-based studies which address both of these issues. By augmenting traditional indices of skill acquisition such as RMS error scores, reaction times, and accuracy measures with psychophysiological measures such as the event-related brain potential, it is shown that workload effects can be assessed throughout the training process. More specifically, it is argued that the development of skill and the effects of workload on the human operator can be modeled within the framework of resource theories of attentional allocation. Also described is how converging evidence from psychophysiological and behavioral studies can be used to examine subtle changes in operator strategies during training.

Online collaboration and model sharing in volcanology via VHub.org

NASA Astrophysics Data System (ADS)

Valentine, G.; Patra, A. K.; Bajo, J. V.; Bursik, M. I.; Calder, E.; Carn, S. A.; Charbonnier, S. J.; Connor, C.; Connor, L.; Courtland, L. M.; Gallo, S.; Jones, M.; Palma Lizana, J. L.; Moore-Russo, D.; Renschler, C. S.; Rose, W. I.

2013-12-01

VHub (short for VolcanoHub, and accessible at vhub.org) is an online platform for barrier free access to high end modeling and simulation and collaboration in research and training related to volcanoes, the hazards they pose, and risk mitigation. The underlying concept is to provide a platform, building upon the successful HUBzero software infrastructure (hubzero.org), that enables workers to collaborate online and to easily share information, modeling and analysis tools, and educational materials with colleagues around the globe. Collaboration occurs around several different points: (1) modeling and simulation; (2) data sharing; (3) education and training; (4) volcano observatories; and (5) project-specific groups. VHub promotes modeling and simulation in two ways: (1) some models can be implemented on VHub for online execution. VHub can provide a central warehouse for such models that should result in broader dissemination. VHub also provides a platform that supports the more complex CFD models by enabling the sharing of code development and problem-solving knowledge, benchmarking datasets, and the development of validation exercises. VHub also provides a platform for sharing of data and datasets. The VHub development team is implementing the iRODS data sharing middleware (see irods.org). iRODS allows a researcher to access data that are located at participating data sources around the world (a cloud of data) as if the data were housed in a single virtual database. Projects associated with VHub are also going to introduce the use of data driven workflow tools to support the use of multistage analysis processes where computing and data are integrated for model validation, hazard analysis etc. Audio-video recordings of seminars, PowerPoint slide sets, and educational simulations are all items that can be placed onto VHub for use by the community or by selected collaborators. An important point is that the manager of a given educational resource (or any other resource, such as a dataset or a model) can control the privacy of that resource, ranging from private (only accessible by, and known to, specific collaborators) to completely public. VHub is a very useful platform for project-specific collaborations. With a group site on VHub collaborators share documents, datasets, maps, and have ongoing discussions using the discussion board function. VHub is funded by the U.S. National Science Foundation, and is participating in development of larger earth-science cyberinfrastructure initiatives (EarthCube), as well as supporting efforts such as the Global Volcano Model. Emerging VHub-facilitated efforts include model benchmarking, collaborative code development, and growth in online modeling tools.

Sustainability in Health care by allocating resources effectively (SHARE) 1: introducing a series of papers reporting an investigation of disinvestment in a local healthcare setting.

PubMed

Harris, Claire; Green, Sally; Ramsey, Wayne; Allen, Kelly; King, Richard

2017-05-04

This is the first in a series of papers reporting Sustainability in Health care by Allocating Resources Effectively (SHARE). The SHARE Program is an investigation of concepts, opportunities, methods and implications for evidence-based investment and disinvestment in health technologies and clinical practices in a local healthcare setting. The papers in this series are targeted at clinicians, managers, policy makers, health service researchers and implementation scientists working in this context. This paper presents an overview of the organisation-wide, systematic, integrated, evidence-based approach taken by one Australian healthcare network and provides an introduction and guide to the suite of papers reporting the experiences and outcomes.

Going the extra mile - creating a co-operative model for supporting patient and public involvement in research.

PubMed

Horobin, Adele

2016-01-01

In 2014, the Chief Medical Officer and Director General of Research and Development commissioned a review of patient and public involvement in the National Institute for Health Research. The report on this review, entitled 'Going the Extra Mile' was published in March, 2015. It described the bold goal of expecting all people using health and social care, and increasing numbers of the public, to be aware of and choosing to be involved in research. This requires more effort to build public awareness of research and better support for the public and researchers to do patient and public involvement in research. The author has created a new way of providing support for patient and public involvement based on co-operation between organisations. Termed 'share-banking', this model pools limited resources across organisations to deliver a regional programme of support activities for patient and public involvement over the long term. This includes helping organisations to share and learn from each other to avoid 're-inventing wheels' (where separate organisations each develop the same thing from the beginning). The 'Going the Extra Mile' report recommends that local organisations should work together to deliver public involvement activities across a region. 'Share-banking' should help fulfil this recommendation. The 'Going the Extra Mile' final report opened with the ambition to increase the public's awareness, participation and involvement in research. It stated the need for public and researchers to be better supported to do public involvement. A new co-operative model, termed 'share-banking', has been developed whereby organisations pool limited resources to create and sustain support for patient and public involvement in research. This should fulfil the 'Going the Extra Mile' report's recommendation to take a collaborative, cross-organisational and regional approach to public involvement.

A Belief-based Trust Model for Dynamic Service Selection

NASA Astrophysics Data System (ADS)

Ali, Ali Shaikh; Rana, Omer F.

Provision of services across institutional boundaries has become an active research area. Many such services encode access to computational and data resources (comprising single machines to computational clusters). Such services can also be informational, and integrate different resources within an institution. Consequently, we envision a service rich environment in the future, where service consumers can intelligently decide between which services to select. If interaction between service providers/users is automated, it is necessary for these service clients to be able to automatically chose between a set of equivalent (or similar) services. In such a scenario trust serves as a benchmark to differentiate between service providers. One might therefore prioritize potential cooperative partners based on the established trust. Although many approaches exist in literature about trust between online communities, the exact nature of trust for multi-institutional service sharing remains undefined. Therefore, the concept of trust suffers from an imperfect understanding, a plethora of definitions, and informal use in the literature. We present a formalism for describing trust within multi-institutional service sharing, and provide an implementation of this; enabling the agent to make trust-based decision. We evaluate our formalism through simulation.

Physics-based interactive volume manipulation for sharing surgical process.

PubMed

Nakao, Megumi; Minato, Kotaro

2010-05-01

This paper presents a new set of techniques by which surgeons can interactively manipulate patient-specific volumetric models for sharing surgical process. To handle physical interaction between the surgical tools and organs, we propose a simple surface-constraint-based manipulation algorithm to consistently simulate common surgical manipulations such as grasping, holding and retraction. Our computation model is capable of simulating soft-tissue deformation and incision in real time. We also present visualization techniques in order to rapidly visualize time-varying, volumetric information on the deformed image. This paper demonstrates the success of the proposed methods in enabling the simulation of surgical processes, and the ways in which this simulation facilitates preoperative planning and rehearsal.

Evaluation of patient centered medical home practice transformation initiatives.

PubMed

Crabtree, Benjamin F; Chase, Sabrina M; Wise, Christopher G; Schiff, Gordon D; Schmidt, Laura A; Goyzueta, Jeanette R; Malouin, Rebecca A; Payne, Susan M C; Quinn, Michael T; Nutting, Paul A; Miller, William L; Jaén, Carlos Roberto

2011-01-01

The patient-centered medical home (PCMH) has become a widely cited solution to the deficiencies in primary care delivery in the United States. To achieve the magnitude of change being called for in primary care, quality improvement interventions must focus on whole-system redesign, and not just isolated parts of medical practices. Investigators participating in 9 different evaluations of Patient Centered Medical Home implementation shared experiences, methodological strategies, and evaluation challenges for evaluating primary care practice redesign. A year-long iterative process of sharing and reflecting on experiences produced consensus on 7 recommendations for future PCMH evaluations: (1) look critically at models being implemented and identify aspects requiring modification; (2) include embedded qualitative and quantitative data collection to detail the implementation process; (3) capture details concerning how different PCMH components interact with one another over time; (4) understand and describe how and why physician and staff roles do, or do not evolve; (5) identify the effectiveness of individual PCMH components and how they are used; (6) capture how primary care practices interface with other entities such as specialists, hospitals, and referral services; and (7) measure resources required for initiating and sustaining innovations. Broad-based longitudinal, mixed-methods designs that provide for shared learning among practice participants, program implementers, and evaluators are necessary to evaluate the novelty and promise of the PCMH model. All PCMH evaluations should as comprehensive as possible, and at a minimum should include a combination of brief observations and targeted qualitative interviews along with quantitative measures.

A microeconomic scheduler for parallel computers

NASA Technical Reports Server (NTRS)

Stoica, Ion; Abdel-Wahab, Hussein; Pothen, Alex

1995-01-01

We describe a scheduler based on the microeconomic paradigm for scheduling on-line a set of parallel jobs in a multiprocessor system. In addition to the classical objectives of increasing the system throughput and reducing the response time, we consider fairness in allocating system resources among the users, and providing the user with control over the relative performances of his jobs. We associate with every user a savings account in which he receives money at a constant rate. When a user wants to run a job, he creates an expense account for that job to which he transfers money from his savings account. The job uses the funds in its expense account to obtain the system resources it needs for execution. The share of the system resources allocated to the user is directly related to the rate at which the user receives money; the rate at which the user transfers money into a job expense account controls the job's performance. We prove that starvation is not possible in our model. Simulation results show that our scheduler improves both system and user performances in comparison with two different variable partitioning policies. It is also shown to be effective in guaranteeing fairness and providing control over the performance of jobs.

Bargaining over an international water resource based on cooperative game theory concepts

NASA Astrophysics Data System (ADS)

Madani, K.; Gholizadeh, S.

2011-12-01

Prior the collapse of the Soviet Union in 1991, Caspian Sea was peacefully shared by Iran and the USSR, based on the two historic treaties between Iran (Persia) and Russia. Collapse of the USSR gave birth to one of the world's serious conflicts over international water resources. Since then, the five littoral states of the Caspian Sea, namely Azerbaijan, Iran, Kazakhstan, Russia, and Turkmenistan have been negotiating over finding an appropriate allocation scheme for sharing the sea and its valuable energy and environmental resources. Although several solution methods have been proposed, the negotiating parties have been unsuccessful in developing a compromise solution. A range of bargaining solutions are used here to show how cooperative game theory can be used to develop fair and efficient allocation schemes to resolve the Caspian Sea conflict. It is also examined how the negotiators may use their powers to change their shares from the Caspian Sea resources. Finally, the stability of the suggested game theoretic solutions are tested to find the solution which is more acceptable by the negotiating parties.

Planning for Retirement: Longitudinal Effect on Retirement Resources and Post-retirement Well-being

PubMed Central

Yeung, Dannii Y.; Zhou, Xiaoyu

2017-01-01

Retirement is a major life event, and a positive adjustment to retirement is essential for maintaining physical and psychological well-being in later life. Previous research demonstrates that pre-retirement planning predicts post-retirement well-being. This study further explores the underlying mechanism between planning activities and post-retirement well-being. By applying the resource-based dynamic model (Wang et al., 2011), the present longitudinal study examines whether pre-retirement planning activities can increase the total resources of retirees, including tangible, mental and social resources, and consequently contribute to better psychological and physical well-being 1 year after actual retirement. A total of 118 Hong Kong Chinese retirees completed three assessments: Time 1 assessment was conducted 6 months before retirement, and Times 2 and 3 assessments were carried out 6 and 12 months, respectively, after retirement. Latent growth models were employed to examine changes in retirement resources and post-retirement well-being over time. Consistent with the proposition of the resource-based dynamic model, positive changes in well-being were observed in the retirees with increases in retirement resources between pre- and post-retirement phases. The results of the latent growth mediation models also support our prediction: retirees with more preparatory activities before retirement acquire greater resources at the initial stage, which contribute to positive changes in post-retirement well-being over time. PMID:28798716

Planning for Retirement: Longitudinal Effect on Retirement Resources and Post-retirement Well-being.

PubMed

Yeung, Dannii Y; Zhou, Xiaoyu

2017-01-01

Retirement is a major life event, and a positive adjustment to retirement is essential for maintaining physical and psychological well-being in later life. Previous research demonstrates that pre-retirement planning predicts post-retirement well-being. This study further explores the underlying mechanism between planning activities and post-retirement well-being. By applying the resource-based dynamic model (Wang et al., 2011), the present longitudinal study examines whether pre-retirement planning activities can increase the total resources of retirees, including tangible, mental and social resources, and consequently contribute to better psychological and physical well-being 1 year after actual retirement. A total of 118 Hong Kong Chinese retirees completed three assessments: Time 1 assessment was conducted 6 months before retirement, and Times 2 and 3 assessments were carried out 6 and 12 months, respectively, after retirement. Latent growth models were employed to examine changes in retirement resources and post-retirement well-being over time. Consistent with the proposition of the resource-based dynamic model, positive changes in well-being were observed in the retirees with increases in retirement resources between pre- and post-retirement phases. The results of the latent growth mediation models also support our prediction: retirees with more preparatory activities before retirement acquire greater resources at the initial stage, which contribute to positive changes in post-retirement well-being over time.

A data colocation grid framework for big data medical image processing: backend design

NASA Astrophysics Data System (ADS)

Bao, Shunxing; Huo, Yuankai; Parvathaneni, Prasanna; Plassard, Andrew J.; Bermudez, Camilo; Yao, Yuang; Lyu, Ilwoo; Gokhale, Aniruddha; Landman, Bennett A.

2018-03-01

When processing large medical imaging studies, adopting high performance grid computing resources rapidly becomes important. We recently presented a "medical image processing-as-a-service" grid framework that offers promise in utilizing the Apache Hadoop ecosystem and HBase for data colocation by moving computation close to medical image storage. However, the framework has not yet proven to be easy to use in a heterogeneous hardware environment. Furthermore, the system has not yet validated when considering variety of multi-level analysis in medical imaging. Our target design criteria are (1) improving the framework's performance in a heterogeneous cluster, (2) performing population based summary statistics on large datasets, and (3) introducing a table design scheme for rapid NoSQL query. In this paper, we present a heuristic backend interface application program interface (API) design for Hadoop and HBase for Medical Image Processing (HadoopBase-MIP). The API includes: Upload, Retrieve, Remove, Load balancer (for heterogeneous cluster) and MapReduce templates. A dataset summary statistic model is discussed and implemented by MapReduce paradigm. We introduce a HBase table scheme for fast data query to better utilize the MapReduce model. Briefly, 5153 T1 images were retrieved from a university secure, shared web database and used to empirically access an in-house grid with 224 heterogeneous CPU cores. Three empirical experiments results are presented and discussed: (1) load balancer wall-time improvement of 1.5-fold compared with a framework with built-in data allocation strategy, (2) a summary statistic model is empirically verified on grid framework and is compared with the cluster when deployed with a standard Sun Grid Engine (SGE), which reduces 8-fold of wall clock time and 14-fold of resource time, and (3) the proposed HBase table scheme improves MapReduce computation with 7 fold reduction of wall time compare with a naïve scheme when datasets are relative small. The source code and interfaces have been made publicly available.

A Data Colocation Grid Framework for Big Data Medical Image Processing: Backend Design.

PubMed

Bao, Shunxing; Huo, Yuankai; Parvathaneni, Prasanna; Plassard, Andrew J; Bermudez, Camilo; Yao, Yuang; Lyu, Ilwoo; Gokhale, Aniruddha; Landman, Bennett A

2018-03-01

When processing large medical imaging studies, adopting high performance grid computing resources rapidly becomes important. We recently presented a "medical image processing-as-a-service" grid framework that offers promise in utilizing the Apache Hadoop ecosystem and HBase for data colocation by moving computation close to medical image storage. However, the framework has not yet proven to be easy to use in a heterogeneous hardware environment. Furthermore, the system has not yet validated when considering variety of multi-level analysis in medical imaging. Our target design criteria are (1) improving the framework's performance in a heterogeneous cluster, (2) performing population based summary statistics on large datasets, and (3) introducing a table design scheme for rapid NoSQL query. In this paper, we present a heuristic backend interface application program interface (API) design for Hadoop & HBase for Medical Image Processing (HadoopBase-MIP). The API includes: Upload, Retrieve, Remove, Load balancer (for heterogeneous cluster) and MapReduce templates. A dataset summary statistic model is discussed and implemented by MapReduce paradigm. We introduce a HBase table scheme for fast data query to better utilize the MapReduce model. Briefly, 5153 T1 images were retrieved from a university secure, shared web database and used to empirically access an in-house grid with 224 heterogeneous CPU cores. Three empirical experiments results are presented and discussed: (1) load balancer wall-time improvement of 1.5-fold compared with a framework with built-in data allocation strategy, (2) a summary statistic model is empirically verified on grid framework and is compared with the cluster when deployed with a standard Sun Grid Engine (SGE), which reduces 8-fold of wall clock time and 14-fold of resource time, and (3) the proposed HBase table scheme improves MapReduce computation with 7 fold reduction of wall time compare with a naïve scheme when datasets are relative small. The source code and interfaces have been made publicly available.

A Data Colocation Grid Framework for Big Data Medical Image Processing: Backend Design

PubMed Central

Huo, Yuankai; Parvathaneni, Prasanna; Plassard, Andrew J.; Bermudez, Camilo; Yao, Yuang; Lyu, Ilwoo; Gokhale, Aniruddha; Landman, Bennett A.

2018-01-01

When processing large medical imaging studies, adopting high performance grid computing resources rapidly becomes important. We recently presented a "medical image processing-as-a-service" grid framework that offers promise in utilizing the Apache Hadoop ecosystem and HBase for data colocation by moving computation close to medical image storage. However, the framework has not yet proven to be easy to use in a heterogeneous hardware environment. Furthermore, the system has not yet validated when considering variety of multi-level analysis in medical imaging. Our target design criteria are (1) improving the framework’s performance in a heterogeneous cluster, (2) performing population based summary statistics on large datasets, and (3) introducing a table design scheme for rapid NoSQL query. In this paper, we present a heuristic backend interface application program interface (API) design for Hadoop & HBase for Medical Image Processing (HadoopBase-MIP). The API includes: Upload, Retrieve, Remove, Load balancer (for heterogeneous cluster) and MapReduce templates. A dataset summary statistic model is discussed and implemented by MapReduce paradigm. We introduce a HBase table scheme for fast data query to better utilize the MapReduce model. Briefly, 5153 T1 images were retrieved from a university secure, shared web database and used to empirically access an in-house grid with 224 heterogeneous CPU cores. Three empirical experiments results are presented and discussed: (1) load balancer wall-time improvement of 1.5-fold compared with a framework with built-in data allocation strategy, (2) a summary statistic model is empirically verified on grid framework and is compared with the cluster when deployed with a standard Sun Grid Engine (SGE), which reduces 8-fold of wall clock time and 14-fold of resource time, and (3) the proposed HBase table scheme improves MapReduce computation with 7 fold reduction of wall time compare with a naïve scheme when datasets are relative small. The source code and interfaces have been made publicly available. PMID:29887668

eBird—Using citizen-science data to help solve real-world conservation challenges (Invited)

NASA Astrophysics Data System (ADS)

Sullivan, B. L.; Iliff, M. J.; Wood, C. L.; Fink, D.; Kelling, S.

2010-12-01

eBird (www.ebird.org) is an Internet-based citizen-science project that collects bird observations worldwide. eBird is foremost a tool for birders, providing users with a resource for bird information and a way to keep track of their personal bird lists, thus establishing a model for sustained participation and new project growth. Importantly, eBird data are shared with scientists and conservationists working to save birds and their habitats. Here we highlight two different ways these data are used: as a real-time data gathering and visualization tool; and as the primary resource for developing large-scale bird distribution models that explore species-habitat associations and climate change scenarios. eBird provides data across broad temporal and spatial scales, and is a valuable tool for documenting and monitoring bird populations facing a multitude of anthropogenic and environmental impacts. For example, a focused effort to monitor birds on Gulf Coast beaches using eBird is providing essential baseline data and enabling long-term monitoring of bird populations throughout the region. Additionally, new data visualization tools that incorporate data from eBird, NOAA, and Google, are specifically designed to highlight the potential impacts of the Gulf oil spill on bird populations. Through a collaboration of partners in the DataONE network, such as the Oak Ridge National Laboratory, we will use supercomputing time from the National Science Foundation’s TeraGrid to allow Lab scientists to model bird migration phenology at the population level based on eBird data. The process involves combining bird observations with remotely sensed variables such as landcover and greening index to predict bird movements. Preliminary results of these models allow us to animate bird movements across large spatial scales, and to explore how migration timing might be affected under different climate change scenarios.

Resource and Performance Evaluations of Fixed Point QRD-RLS Systolic Array through FPGA Implementation

NASA Astrophysics Data System (ADS)

Yokoyama, Yoshiaki; Kim, Minseok; Arai, Hiroyuki

At present, when using space-time processing techniques with multiple antennas for mobile radio communication, real-time weight adaptation is necessary. Due to the progress of integrated circuit technology, dedicated processor implementation with ASIC or FPGA can be employed to implement various wireless applications. This paper presents a resource and performance evaluation of the QRD-RLS systolic array processor based on fixed-point CORDIC algorithm with FPGA. In this paper, to save hardware resources, we propose the shared architecture of a complex CORDIC processor. The required precision of internal calculation, the circuit area for the number of antenna elements and wordlength, and the processing speed will be evaluated. The resource estimation provides a possible processor configuration with a current FPGA on the market. Computer simulations assuming a fading channel will show a fast convergence property with a finite number of training symbols. The proposed architecture has also been implemented and its operation was verified by beamforming evaluation through a radio propagation experiment.

Experimental demonstration of graph-state quantum secret sharing.

PubMed

Bell, B A; Markham, D; Herrera-Martí, D A; Marin, A; Wadsworth, W J; Rarity, J G; Tame, M S

2014-11-21

Quantum communication and computing offer many new opportunities for information processing in a connected world. Networks using quantum resources with tailor-made entanglement structures have been proposed for a variety of tasks, including distributing, sharing and processing information. Recently, a class of states known as graph states has emerged, providing versatile quantum resources for such networking tasks. Here we report an experimental demonstration of graph state-based quantum secret sharing--an important primitive for a quantum network with applications ranging from secure money transfer to multiparty quantum computation. We use an all-optical setup, encoding quantum information into photons representing a five-qubit graph state. We find that one can reliably encode, distribute and share quantum information amongst four parties, with various access structures based on the complex connectivity of the graph. Our results show that graph states are a promising approach for realising sophisticated multi-layered communication protocols in quantum networks.

Getting It Right the First Time: Defining Regionally Relevant Training Curricula and Provider Core Competencies for Point-of-Care Ultrasound Education on the African Continent.

PubMed

Salmon, Margaret; Landes, Megan; Hunchak, Cheryl; Paluku, Justin; Malemo Kalisya, Luc; Salmon, Christian; Muller, Mundenga Mutendi; Wachira, Benjamin; Mangan, James; Chhaganlal, Kajal; Kalanzi, Joseph; Azazh, Aklilu; Berman, Sara; Zied, El-Sayed; Lamprecht, Hein

2017-02-01

Significant evidence identifies point-of-care ultrasound (PoCUS) as an important diagnostic and therapeutic tool in resource-limited settings. Despite this evidence, local health care providers on the African continent continue to have limited access to and use of ultrasound, even in potentially high-impact fields such as obstetrics and trauma. Dedicated postgraduate emergency medicine residency training programs now exist in 8 countries, yet no current consensus exists in regard to core PoCUS competencies. The current practice of transferring resource-rich PoCUS curricula and delivery methods to resource-limited health systems fails to acknowledge the unique challenges, needs, and disease burdens of recipient systems. As emergency medicine leaders from 8 African countries, we introduce a practical algorithmic approach, based on the local epidemiology and resource constraints, to curriculum development and implementation. We describe an organizational structure composed of nexus learning centers for PoCUS learners and champions on the continent to keep credentialing rigorous and standardized. Finally, we put forth 5 key strategic considerations: to link training programs to hospital systems, to prioritize longitudinal learning models, to share resources to promote health equity, to maximize access, and to develop a regional consensus on training standards and credentialing. Copyright © 2016 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Shared control on lunar spacecraft teleoperation rendezvous operations with large time delay

NASA Astrophysics Data System (ADS)

Ya-kun, Zhang; Hai-yang, Li; Rui-xue, Huang; Jiang-hui, Liu

2017-08-01

Teleoperation could be used in space on-orbit serving missions, such as object deorbits, spacecraft approaches, and automatic rendezvous and docking back-up systems. Teleoperation rendezvous and docking in lunar orbit may encounter bottlenecks for the inherent time delay in the communication link and the limited measurement accuracy of sensors. Moreover, human intervention is unsuitable in view of the partial communication coverage problem. To solve these problems, a shared control strategy for teleoperation rendezvous and docking is detailed. The control authority in lunar orbital maneuvers that involves two spacecraft as rendezvous and docking in the final phase was discussed in this paper. The predictive display model based on the relative dynamic equations is established to overcome the influence of the large time delay in communication link. We discuss and attempt to prove via consistent, ground-based simulations the relative merits of fully autonomous control mode (i.e., onboard computer-based), fully manual control (i.e., human-driven at the ground station) and shared control mode. The simulation experiments were conducted on the nine-degrees-of-freedom teleoperation rendezvous and docking simulation platform. Simulation results indicated that the shared control methods can overcome the influence of time delay effects. In addition, the docking success probability of shared control method was enhanced compared with automatic and manual modes.

Activity-based costing: a practical model for cost calculation in radiotherapy.

PubMed

Lievens, Yolande; van den Bogaert, Walter; Kesteloot, Katrien

2003-10-01

The activity-based costing method was used to compute radiotherapy costs. This report describes the model developed, the calculated costs, and possible applications for the Leuven radiotherapy department. Activity-based costing is an advanced cost calculation technique that allocates resource costs to products based on activity consumption. In the Leuven model, a complex allocation principle with a large diversity of cost drivers was avoided by introducing an extra allocation step between activity groups and activities. A straightforward principle of time consumption, weighed by some factors of treatment complexity, was used. The model was developed in an iterative way, progressively defining the constituting components (costs, activities, products, and cost drivers). Radiotherapy costs are predominantly determined by personnel and equipment cost. Treatment-related activities consume the greatest proportion of the resource costs, with treatment delivery the most important component. This translates into products that have a prolonged total or daily treatment time being the most costly. The model was also used to illustrate the impact of changes in resource costs and in practice patterns. The presented activity-based costing model is a practical tool to evaluate the actual cost structure of a radiotherapy department and to evaluate possible resource or practice changes.

Advancing the Implementation of Hydrologic Models as Web-based Applications

NASA Astrophysics Data System (ADS)

Dahal, P.; Tarboton, D. G.; Castronova, A. M.

2017-12-01

Advanced computer simulations are required to understand hydrologic phenomenon such as rainfall-runoff response, groundwater hydrology, snow hydrology, etc. Building a hydrologic model instance to simulate a watershed requires investment in data (diverse geospatial datasets such as terrain, soil) and computer resources, typically demands a wide skill set from the analyst, and the workflow involved is often difficult to reproduce. This work introduces a web-based prototype infrastructure in the form of a web application that provides researchers with easy to use access to complete hydrological modeling functionality. This includes creating the necessary geospatial and forcing data, preparing input files for a model by applying complex data preprocessing, running the model for a user defined watershed, and saving the results to a web repository. The open source Tethys Platform was used to develop the web app front-end Graphical User Interface (GUI). We used HydroDS, a webservice that provides data preparation processing capability to support backend computations used by the app. Results are saved in HydroShare, a hydrologic information system that supports the sharing of hydrologic data, model and analysis tools. The TOPographic Kinematic APproximation and Integration (TOPKAPI) model served as the example for which we developed a complete hydrologic modeling service to demonstrate the approach. The final product is a complete modeling system accessible through the web to create input files, and run the TOPKAPI hydrologic model for a watershed of interest. We are investigating similar functionality for the preparation of input to Regional Hydro-Ecological Simulation System (RHESSys). Key Words: hydrologic modeling, web services, hydrologic information system, HydroShare, HydroDS, Tethys Platform

A systematic review of innovative diabetes care models in low-and middle-income countries (LMICs).

PubMed

Esterson, Yonah B; Carey, Michelle; Piette, John D; Thomas, Nihal; Hawkins, Meredith

2014-02-01

Over 70% of the world's patients with diabetes reside in low-and middle-income countries (LMICs), where adequate infrastructure and resources for diabetes care are often lacking. Therefore, academic institutions, health care organizations, and governments from Western nations and LMICs have worked together to develop a variety of effective diabetes care models for resource-poor settings. A focused search of PubMed was conducted with the goal of identifying reports that addressed the implementation of diabetes care models or initiatives to improve clinical and/or biochemical outcomes in patients with diabetes mellitus. A total of 15 published manuscripts comprising nine diabetes care models in 16 locations in sub-Saharan Africa, Latin America, and Asia identified by the above approach were systematically reviewed. The reviewed models shared a number of principles including collaboration, education, standardization, resource optimization, and technological innovation. The most comprehensive models used a number of these principles, which contributed to their success. Reviewing the principles shared by these successful programs may help guide the development of effective future models for diabetes care in low-income settings.

Intergenerational and sibling conflict under patrilocality. A model of reproductive skew applied to human kinship.

PubMed

Ji, Ting; Xu, Jing-Jing; Mace, Ruth

2014-03-01

Here we argue that models developed to examine cooperation and conflict in communal breeders, using a "tug-of-war" model of reproductive skew generated by incomplete control, are an appropriate way to model human kinship systems. We apply such models to understand the patterns of effort put into competition between father and son and between brothers in conflict over family resources in a patrilineal kinship system. Co-resident kin do not necessarily emerge with equal shares of the cake in terms of reproductive output. The models show that, depending on the efficiency with which they can gain more control of the resource, on the marriage system, and on the relatedness of the partners in conflict, individuals can do better to help their relatives breed rather than fight each other for the resources needed to reproduce. The models show that when a son's father is still breeding with his mother, sons should not compete for any share of reproduction. However, under polygyny, increased effort is spent on father/son and brother/brother conflict. Fathers will win the majority of reproduction if dominant to sons (in contrast to the finding that daughters-in-law win in conflict over mothers-in-law in patrilocal kinship systems, which has been suggested as explaining the evolution of menopause). Hence who wins in the sharing of reproduction depends not just on which sex disperses but also on the relative competitive ability of all individuals to exploit family resources. Anthropologists have long argued that cultural norms can reduce conflict. These formal evolutionary models help us to quantify the effects of reproductive conflict in families, throwing light on the evolutionary basis not just of patterns of reproductive scheduling, but also human kinship and marriage systems.

Efficient airport detection using region-based fully convolutional neural networks

NASA Astrophysics Data System (ADS)

Xin, Peng; Xu, Yuelei; Zhang, Xulei; Ma, Shiping; Li, Shuai; Lv, Chao

2018-04-01

This paper presents a model for airport detection using region-based fully convolutional neural networks. To achieve fast detection with high accuracy, we shared the conv layers between the region proposal procedure and the airport detection procedure and used graphics processing units (GPUs) to speed up the training and testing time. For lack of labeled data, we transferred the convolutional layers of ZF net pretrained by ImageNet to initialize the shared convolutional layers, then we retrained the model using the alternating optimization training strategy. The proposed model has been tested on an airport dataset consisting of 600 images. Experiments show that the proposed method can distinguish airports in our dataset from similar background scenes almost real-time with high accuracy, which is much better than traditional methods.

Assessment of economic status in trauma registries: A new algorithm for generating population-specific clustering-based models of economic status for time-constrained low-resource settings.

PubMed

Eyler, Lauren; Hubbard, Alan; Juillard, Catherine

2016-10-01

Low and middle-income countries (LMICs) and the world's poor bear a disproportionate share of the global burden of injury. Data regarding disparities in injury are vital to inform injury prevention and trauma systems strengthening interventions targeted towards vulnerable populations, but are limited in LMICs. We aim to facilitate injury disparities research by generating a standardized methodology for assessing economic status in resource-limited country trauma registries where complex metrics such as income, expenditures, and wealth index are infeasible to assess. To address this need, we developed a cluster analysis-based algorithm for generating simple population-specific metrics of economic status using nationally representative Demographic and Health Surveys (DHS) household assets data. For a limited number of variables, g, our algorithm performs weighted k-medoids clustering of the population using all combinations of g asset variables and selects the combination of variables and number of clusters that maximize average silhouette width (ASW). In simulated datasets containing both randomly distributed variables and "true" population clusters defined by correlated categorical variables, the algorithm selected the correct variable combination and appropriate cluster numbers unless variable correlation was very weak. When used with 2011 Cameroonian DHS data, our algorithm identified twenty economic clusters with ASW 0.80, indicating well-defined population clusters. This economic model for assessing health disparities will be used in the new Cameroonian six-hospital centralized trauma registry. By describing our standardized methodology and algorithm for generating economic clustering models, we aim to facilitate measurement of health disparities in other trauma registries in resource-limited countries. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.

PubMed

Meeker, Daniella; Jiang, Xiaoqian; Matheny, Michael E; Farcas, Claudiu; D'Arcy, Michel; Pearlman, Laura; Nookala, Lavanya; Day, Michele E; Kim, Katherine K; Kim, Hyeoneui; Boxwala, Aziz; El-Kareh, Robert; Kuo, Grace M; Resnic, Frederic S; Kesselman, Carl; Ohno-Machado, Lucila

2015-11-01

Centralized and federated models for sharing data in research networks currently exist. To build multivariate data analysis for centralized networks, transfer of patient-level data to a central computation resource is necessary. The authors implemented distributed multivariate models for federated networks in which patient-level data is kept at each site and data exchange policies are managed in a study-centric manner. The objective was to implement infrastructure that supports the functionality of some existing research networks (e.g., cohort discovery, workflow management, and estimation of multivariate analytic models on centralized data) while adding additional important new features, such as algorithms for distributed iterative multivariate models, a graphical interface for multivariate model specification, synchronous and asynchronous response to network queries, investigator-initiated studies, and study-based control of staff, protocols, and data sharing policies. Based on the requirements gathered from statisticians, administrators, and investigators from multiple institutions, the authors developed infrastructure and tools to support multisite comparative effectiveness studies using web services for multivariate statistical estimation in the SCANNER federated network. The authors implemented massively parallel (map-reduce) computation methods and a new policy management system to enable each study initiated by network participants to define the ways in which data may be processed, managed, queried, and shared. The authors illustrated the use of these systems among institutions with highly different policies and operating under different state laws. Federated research networks need not limit distributed query functionality to count queries, cohort discovery, or independently estimated analytic models. Multivariate analyses can be efficiently and securely conducted without patient-level data transport, allowing institutions with strict local data storage requirements to participate in sophisticated analyses based on federated research networks. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.

[Methods and Applications to estimate the conversion factor of Resource-Based Relative Value Scale for nurse-midwife's delivery service in the national health insurance].

PubMed

Kim, Jinhyun; Jung, Yoomi

2009-08-01

This paper analyzed alternative methods of calculating the conversion factor for nurse-midwife's delivery services in the national health insurance and estimated the optimal reimbursement level for the services. A cost accounting model and Sustainable Growth Rate (SGR) model were developed to estimate the conversion factor of Resource-Based Relative Value Scale (RBRVS) for nurse-midwife's services, depending on the scope of revenue considered in financial analysis. The data and sources from the government and the financial statements from nurse-midwife clinics were used in analysis. The cost accounting model and SGR model showed a 17.6-37.9% increase and 19.0-23.6% increase, respectively, in nurse-midwife fee for delivery services in the national health insurance. The SGR model measured an overall trend of medical expenditures rather than an individual financial status of nurse-midwife clinics, and the cost analysis properly estimated the level of reimbursement for nurse-midwife's services. Normal vaginal delivery in nurse-midwife clinics is considered cost-effective in terms of insurance financing. Upon a declining share of health expenditures on midwife clinics, designing a reimbursement strategy for midwife's services could be an opportunity as well as a challenge when it comes to efficient resource allocation.

Improving the analysis, storage and sharing of neuroimaging data using relational databases and distributed computing.

PubMed

Hasson, Uri; Skipper, Jeremy I; Wilde, Michael J; Nusbaum, Howard C; Small, Steven L

2008-01-15

The increasingly complex research questions addressed by neuroimaging research impose substantial demands on computational infrastructures. These infrastructures need to support management of massive amounts of data in a way that affords rapid and precise data analysis, to allow collaborative research, and to achieve these aims securely and with minimum management overhead. Here we present an approach that overcomes many current limitations in data analysis and data sharing. This approach is based on open source database management systems that support complex data queries as an integral part of data analysis, flexible data sharing, and parallel and distributed data processing using cluster computing and Grid computing resources. We assess the strengths of these approaches as compared to current frameworks based on storage of binary or text files. We then describe in detail the implementation of such a system and provide a concrete description of how it was used to enable a complex analysis of fMRI time series data.

Improving the Analysis, Storage and Sharing of Neuroimaging Data using Relational Databases and Distributed Computing

PubMed Central

Hasson, Uri; Skipper, Jeremy I.; Wilde, Michael J.; Nusbaum, Howard C.; Small, Steven L.

2007-01-01

The increasingly complex research questions addressed by neuroimaging research impose substantial demands on computational infrastructures. These infrastructures need to support management of massive amounts of data in a way that affords rapid and precise data analysis, to allow collaborative research, and to achieve these aims securely and with minimum management overhead. Here we present an approach that overcomes many current limitations in data analysis and data sharing. This approach is based on open source database management systems that support complex data queries as an integral part of data analysis, flexible data sharing, and parallel and distributed data processing using cluster computing and Grid computing resources. We assess the strengths of these approaches as compared to current frameworks based on storage of binary or text files. We then describe in detail the implementation of such a system and provide a concrete description of how it was used to enable a complex analysis of fMRI time series data. PMID:17964812

Vehicle coordinated transportation dispatching model base on multiple crisis locations

NASA Astrophysics Data System (ADS)

Tian, Ran; Li, Shanwei; Yang, Guoying

2018-05-01

Many disastrous events are often caused after unconventional emergencies occur, and the requirements of disasters are often different. It is difficult for a single emergency resource center to satisfy such requirements at the same time. Therefore, how to coordinate the emergency resources stored by multiple emergency resource centers to various disaster sites requires the coordinated transportation of emergency vehicles. In this paper, according to the problem of emergency logistics coordination scheduling, based on the related constraints of emergency logistics transportation, an emergency resource scheduling model based on multiple disasters is established.

A Folksonomy-Based Lightweight Resource Annotation Metadata Schema for Personalized Hypermedia Learning Resource Delivery

ERIC Educational Resources Information Center

Lau, Simon Boung-Yew; Lee, Chien-Sing; Singh, Yashwant Prasad

2015-01-01

With the proliferation of social Web applications, users can now collaboratively author, share and access hypermedia learning resources, contributing to richer learning experiences outside formal education. These resources may or may not be educational. However, they can be harnessed for educational purposes by adapting and personalizing them to…

Reasoning abstractly about resources

NASA Technical Reports Server (NTRS)

Clement, B.; Barrett, A.

2001-01-01

r describes a way to schedule high level activities before distributing them across multiple rovers in order to coordinate the resultant use of shared resources regardless of how each rover decides how to perform its activities. We present an algorithm for summarizing the metric resource requirements of an abstract activity based n the resource usages of its potential refinements.

Diminishing musyarakah investment model based on equity

NASA Astrophysics Data System (ADS)

Jaffar, Maheran Mohd; Zain, Shaharir Mohamad; Jemain, Abdul Aziz

2017-11-01

Most of the mudharabah and musyarakah contract funds are involved in debt financing. This does not support the theory that profit sharing contract is better than that of debt financing due to the sharing of risks and ownership of equity. Indeed, it is believed that Islamic banking is a financial model based on equity or musyarakah which emphasis on the sharing of risks, profit and loss in the investment between the investor and entrepreneur. The focus of this paper is to introduce the mathematical model that internalizes diminishing musyarakah, the sharing of profit and equity between entrepreneur and investor. The entrepreneur pays monthly-differed payment to buy out the equity that belongs to the investor (bank) where at the end of the specified period, the entrepreneur owns the business and the investor (bank) exits the joint venture. The model is able to calculate the amount of equity at any time for both parties and hence would be a guide in helping to estimate the value of investment should the entrepreneur or investor exit before the end of the specified period. The model is closer to the Islamic principles for justice and fairness.

A cross-domain communication resource scheduling method for grid-enabled communication networks

NASA Astrophysics Data System (ADS)

Zheng, Xiangquan; Wen, Xiang; Zhang, Yongding

2011-10-01

To support a wide range of different grid applications in environments where various heterogeneous communication networks coexist, it is important to enable advanced capabilities in on-demand and dynamical integration and efficient co-share with cross-domain heterogeneous communication resource, thus providing communication services which are impossible for single communication resource to afford. Based on plug-and-play co-share and soft integration with communication resource, Grid-enabled communication network is flexibly built up to provide on-demand communication services for gird applications with various requirements on quality of service. Based on the analysis of joint job and communication resource scheduling in grid-enabled communication networks (GECN), this paper presents a cross multi-domain communication resource cooperatively scheduling method and describes the main processes such as traffic requirement resolution for communication services, cross multi-domain negotiation on communication resource, on-demand communication resource scheduling, and so on. The presented method is to afford communication service capability to cross-domain traffic delivery in GECNs. Further research work towards validation and implement of the presented method is pointed out at last.

Dipping Your Toes into Evaluation in Five Easy Steps: Tips, Tricks, and Lessons Learned

NASA Astrophysics Data System (ADS)

Martin, A. M.

2013-04-01

With limited funding, staffing, and resources for STEM education projects, the push for rigorous evaluation of our efforts offers up significant challenges, but opportunities as well. Evaluative thinking can enrich and improve the entire life cycle of an education, communication, or outreach project, and can take many forms other than a final, summative evaluation report. The community of attendees at the Astronomical Society of the Pacific will share an abundance of evaluation expertise, approaches, and results, but where does one turn if evaluation is a new concept or responsibility? This session will briefly highlight five tips, tricks, and lessons learned from the perspective of a novice and from a NASA project new to evaluation. The resources and ideas shared in the session will represent the concrete advice and driving ideas that put the author on firmer evaluative footing. Themes explored will include: (1) strategies for incorporating evaluative thinking early in the development of a project and throughout its life cycle; (2) the benefit of taking the time to elucidate a program's logic model of theory of action; (3) linking program activities to outcomes that are SMART (specific, measurable, attainable, relevant, and timely); (4) working with an external or internal evaluator; and (5) taking evaluation beyond the formal, final report. Finally, we'll close with resources to help individuals and their organizations learn more about evaluation and build their evaluation capacity.

An open repositories network development for medical teaching resources.

PubMed

Soula, Gérard; Darmoni, Stefan; Le Beux, Pierre; Renard, Jean-Marie; Dahamna, Badisse; Fieschi, Marius

2010-01-01

The lack of interoperability between repositories of heterogeneous and geographically widespread data is an obstacle to the diffusion, sharing and reutilization of those data. We present the development of an open repositories network taking into account both the syntactic and semantic interoperability of the different repositories and based on international standards in this field. The network is used by the medical community in France for the diffusion and sharing of digital teaching resources. The syntactic interoperability of the repositories is managed using the OAI-PMH protocol for the exchange of metadata describing the resources. Semantic interoperability is based, on one hand, on the LOM standard for the description of resources and on MESH for the indexing of the latter and, on the other hand, on semantic interoperability management designed to optimize compliance with standards and the quality of the metadata.

Towards Information Enrichment through Recommendation Sharing

NASA Astrophysics Data System (ADS)

Weng, Li-Tung; Xu, Yue; Li, Yuefeng; Nayak, Richi

Nowadays most existing recommender systems operate in a single organisational basis, i.e. a recommender system recommends items to customers of one organisation based on the organisation's datasets only. Very often the datasets of a single organisation do not have sufficient resources to be used to generate quality recommendations. Therefore, it would be beneficial if recommender systems of different organisations with similar nature can cooperate together to share their resources and recommendations. In this chapter, we present an Ecommerce-oriented Distributed Recommender System (EDRS) that consists of multiple recommender systems from different organisations. By sharing resources and recommendations with each other, these recommenders in the distributed recommendation system can provide better recommendation service to their users. As for most of the distributed systems, peer selection is often an important aspect. This chapter also presents a recommender selection technique for the proposed EDRS, and it selects and profiles recommenders based on their stability, average performance and selection frequency. Based on our experiments, it is shown that recommenders' recommendation quality can be effectively improved by adopting the proposed EDRS and the associated peer selection technique.

A virtual community and cyberinfrastructure for collaboration in volcano research and risk mitigation

NASA Astrophysics Data System (ADS)

Valentine, G. A.

2012-12-01

VHub (short for VolcanoHub, and accessible at vhub.org) is an online platform for collaboration in research and training related to volcanoes, the hazards they pose, and risk mitigation. The underlying concept is to provide a mechanism that enables workers to share information with colleagues around the globe; VHub and similar hub technologies could prove very powerful in collaborating and communicating about circum-Pacific volcanic hazards. Collaboration occurs around several different points: (1) modeling and simulation; (2) data sharing; (3) education and training; (4) volcano observatories; and (5) project-specific groups. VHub promotes modeling and simulation in two ways: (1) some models can be implemented on VHub for online execution. This eliminates the need to download and compile a code on a local computer. VHub can provide a central "warehouse" for such models that should result in broader dissemination. VHub also provides a platform that supports the more complex CFD models by enabling the sharing of code development and problem-solving knowledge, benchmarking datasets, and the development of validation exercises. VHub also provides a platform for sharing of data and datasets. The VHub development team is implementing the iRODS data sharing middleware (see irods.org). iRODS allows a researcher to access data that are located at participating data sources around the world (a "cloud" of data) as if the data were housed in a single virtual database. Education and training is another important use of the VHub platform. Audio-video recordings of seminars, PowerPoint slide sets, and educational simulations are all items that can be placed onto VHub for use by the community or by selected collaborators. An important point is that the "manager" of a given educational resource (or any other resource, such as a dataset or a model) can control the privacy of that resource, ranging from private (only accessible by, and known to, specific collaborators) to completely public. Materials for use in the classroom can be shared via VHub. VHub is a very useful platform for project-specific collaborations. With a group site on VHub where collaborators share documents, datasets, maps, and have ongoing discussions using the discussion board function. VHub is funded by the U.S. National Science Foundation, and is participating in development of larger earth-science cyberinfrastructure initiatives (EarthCube), as well as supporting efforts such as the Global Volcano Model.

Mothers' Expectations for Shared Reading Following Delivery: Implications For Reading Activities at 6 Months

PubMed Central

Berkule, Samantha B.; Dreyer, Benard P.; Klass, Perri E.; Huberman, Harris S.; Yin, Hsiang S.; Mendelsohn, Alan L.

2008-01-01

Objective To determine whether mothers with plans related to shared reading and baby books in the home at the time of delivery of their newborns would be more likely to engage in shared reading behaviors at age 6 months. Method This was a cohort study with enrollment post-partum and follow-up at 6 months in an urban public hospital. Predictors: mothers' attitudes and resources related to shared reading during the postpartum period. Outcomes: mothers' shared reading activities and resources at 6 months (StimQ-READ). Results 173 mother-infant dyads were assessed. In multiple regression analyses adjusting for sociodemographics and maternal depression and literacy, StimQ-READ at 6 months was increased in association with all 3 postpartum predictors: plans for reading as a strategy for school success (adjusted mean 1.7 point increase in 6 month score; 95% CI: 0.3 – 3.0), plans to read in infancy (3.1 point increase; 95% CI: 1.6-4.6), and having baby books in the home (2.3 point increase; 95% CI: 0.9 – 3.6). In multiple logistic regression analysis, mothers with two or more attitudes and resources had an AOR of 6.2 (95% CI: 2.0-18.9) for having initiated reading at 6 months. Conclusions Maternal attitudes and resources in early infancy related to shared reading are important predictors of reading behaviors by 6 months. Cumulative postnatal attitudes and resources are the strongest predictors of later behaviors. Additional research is needed regarding whether guidance about shared reading in early infancy or pregnancy would enhance programs such as Reach Out and Read. PMID:18501863

Resource Management and Risk Mitigation in Online Storage Grids

ERIC Educational Resources Information Center

Du, Ye

2010-01-01

This dissertation examines the economic value of online storage resources that could be traded and shared as potential commodities and the consequential investments and deployment of such resources. The value proposition of emergent business models such as Akamai and Amazon S3 in online storage grids is capacity provision and content delivery at…

Modeling shared resources with generalized synchronization within a Petri net bottom-up approach.

PubMed

Ferrarini, L; Trioni, M

1996-01-01

This paper proposes a simple and effective way to represent shared resources in manufacturing systems within a Petri net model previously developed. Such a model relies on the bottom-up and modular approach to synthesis and analysis. The designer may define elementary tasks and then connect them with one another with three kinds of connections: self-loops, inhibitor arcs and simple synchronizations. A theoretical framework has been established for the analysis of liveness and reversibility of such models. The generalized synchronization, here formalized, represents an extension of the simple synchronization, allowing the merging of suitable subnets among elementary tasks. It is proved that under suitable, but not restrictive, hypotheses the generalized synchronization may be substituted for a simple one, thus being compatible with all the developed theoretical body.

Cross-Jurisdictional Resource Sharing in Changing Public Health Landscape: Contributory Factors and Theoretical Explanations.

PubMed

Shah, Gulzar H; Badana, Adrian N S; Robb, Claire; Livingood, William C

2016-01-01

Local health departments (LHDs) are striving to meet public health needs within their jurisdictions, amidst fiscal restraints and complex dynamic environment. Resource sharing across jurisdictions is a critical opportunity for LHDs to continue to enhance effectiveness and increase efficiency. This research examines the extent of cross-jurisdictional resource sharing among LHDs, the programmatic areas and organizational functions for which LHDs share resources, and LHD characteristics associated with resource sharing. Data from the National Association of County & City Health Officials' 2013 National Profile of LHDs were used. Descriptive statistics and multinomial logistic regression were performed for the 5 implementation-oriented outcome variables of interest, with 3 levels of implementation. More than 54% of LHDs shared resources such as funding, staff, or equipment with 1 or more other LHDs on a continuous, recurring basis. Results from the multinomial regression analysis indicate that economies of scale (population size and metropolitan status) had significant positive influences (at P ≤ .05) on resource sharing. Engagement in accreditation, community health assessment, community health improvement planning, quality improvement, and use of the Community Guide were associated with lower levels of engagement in resource sharing. Doctoral degree of the top executive and having 1 or more local boards of health carried a positive influence on resource sharing. Cross-jurisdictional resource sharing is a viable and commonly used process to overcome the challenges of new and emerging public health problems within the constraints of restricted budgets. LHDs, particularly smaller LHDs with limited resources, should consider increased resource sharing to address emerging challenges.

Theoretical and Empirical Comparison of Big Data Image Processing with Apache Hadoop and Sun Grid Engine.

PubMed

Bao, Shunxing; Weitendorf, Frederick D; Plassard, Andrew J; Huo, Yuankai; Gokhale, Aniruddha; Landman, Bennett A

2017-02-11

The field of big data is generally concerned with the scale of processing at which traditional computational paradigms break down. In medical imaging, traditional large scale processing uses a cluster computer that combines a group of workstation nodes into a functional unit that is controlled by a job scheduler. Typically, a shared-storage network file system (NFS) is used to host imaging data. However, data transfer from storage to processing nodes can saturate network bandwidth when data is frequently uploaded/retrieved from the NFS, e.g., "short" processing times and/or "large" datasets. Recently, an alternative approach using Hadoop and HBase was presented for medical imaging to enable co-location of data storage and computation while minimizing data transfer. The benefits of using such a framework must be formally evaluated against a traditional approach to characterize the point at which simply "large scale" processing transitions into "big data" and necessitates alternative computational frameworks. The proposed Hadoop system was implemented on a production lab-cluster alongside a standard Sun Grid Engine (SGE). Theoretical models for wall-clock time and resource time for both approaches are introduced and validated. To provide real example data, three T1 image archives were retrieved from a university secure, shared web database and used to empirically assess computational performance under three configurations of cluster hardware (using 72, 109, or 209 CPU cores) with differing job lengths. Empirical results match the theoretical models. Based on these data, a comparative analysis is presented for when the Hadoop framework will be relevant and non-relevant for medical imaging.

Theoretical and empirical comparison of big data image processing with Apache Hadoop and Sun Grid Engine

NASA Astrophysics Data System (ADS)

Bao, Shunxing; Weitendorf, Frederick D.; Plassard, Andrew J.; Huo, Yuankai; Gokhale, Aniruddha; Landman, Bennett A.

2017-03-01

The field of big data is generally concerned with the scale of processing at which traditional computational paradigms break down. In medical imaging, traditional large scale processing uses a cluster computer that combines a group of workstation nodes into a functional unit that is controlled by a job scheduler. Typically, a shared-storage network file system (NFS) is used to host imaging data. However, data transfer from storage to processing nodes can saturate network bandwidth when data is frequently uploaded/retrieved from the NFS, e.g., "short" processing times and/or "large" datasets. Recently, an alternative approach using Hadoop and HBase was presented for medical imaging to enable co-location of data storage and computation while minimizing data transfer. The benefits of using such a framework must be formally evaluated against a traditional approach to characterize the point at which simply "large scale" processing transitions into "big data" and necessitates alternative computational frameworks. The proposed Hadoop system was implemented on a production lab-cluster alongside a standard Sun Grid Engine (SGE). Theoretical models for wall-clock time and resource time for both approaches are introduced and validated. To provide real example data, three T1 image archives were retrieved from a university secure, shared web database and used to empirically assess computational performance under three configurations of cluster hardware (using 72, 109, or 209 CPU cores) with differing job lengths. Empirical results match the theoretical models. Based on these data, a comparative analysis is presented for when the Hadoop framework will be relevant and nonrelevant for medical imaging.

Urn model for products’ shares in international trade

NASA Astrophysics Data System (ADS)

Barbier, Matthieu; Lee, D.-S.

2017-12-01

International trade fluxes evolve as countries revise their portfolios of trade products towards economic development. Accordingly products’ shares in international trade vary with time, reflecting the transfer of capital between distinct industrial sectors. Here we analyze the share of hundreds of product categories in world trade for four decades and find a scaling law obeyed by the annual variation of product share, which informs us of how capital flows and interacts over the product space. A model of stochastic transfer of capital between products based on the observed scaling relation is proposed and shown to reproduce exactly the empirical share distribution. The model allows analytic solutions as well as numerical simulations, which predict a pseudo-condensation of capital onto few product categories and when it will occur. At the individual level, our model finds certain products unpredictable, the excess or deficient growth of which with respect to the model prediction is shown to be correlated with the nature of goods.

Integrating knowledge representation and quantitative modelling in physiology.

PubMed

de Bono, Bernard; Hunter, Peter

2012-08-01

A wealth of potentially shareable resources, such as data and models, is being generated through the study of physiology by computational means. Although in principle the resources generated are reusable, in practice, few can currently be shared. A key reason for this disparity stems from the lack of consistent cataloguing and annotation of these resources in a standardised manner. Here, we outline our vision for applying community-based modelling standards in support of an automated integration of models across physiological systems and scales. Two key initiatives, the Physiome Project and the European contribution - the Virtual Phsysiological Human Project, have emerged to support this multiscale model integration, and we focus on the role played by two key components of these frameworks, model encoding and semantic metadata annotation. We present examples of biomedical modelling scenarios (the endocrine effect of atrial natriuretic peptide, and the implications of alcohol and glucose toxicity) to illustrate the role that encoding standards and knowledge representation approaches, such as ontologies, could play in the management, searching and visualisation of physiology models, and thus in providing a rational basis for healthcare decisions and contributing towards realising the goal of of personalized medicine. Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Wireless shared resources : sharing right-of-way for wireless telecommunications : guidance on legal and institutional issues

DOT National Transportation Integrated Search

1998-04-01

The study reported here was conducted to assess how well some of the existing asphalt pavement mechanistic-empirical distress prediction models performed when used in conjunction with the data being collected as part of the national Long Term Pavemen...

Overview of the Cancer Genetics and Pathway Curation tasks of BioNLP Shared Task 2013

PubMed Central

2015-01-01

Background Since their introduction in 2009, the BioNLP Shared Task events have been instrumental in advancing the development of methods and resources for the automatic extraction of information from the biomedical literature. In this paper, we present the Cancer Genetics (CG) and Pathway Curation (PC) tasks, two event extraction tasks introduced in the BioNLP Shared Task 2013. The CG task focuses on cancer, emphasizing the extraction of physiological and pathological processes at various levels of biological organization, and the PC task targets reactions relevant to the development of biomolecular pathway models, defining its extraction targets on the basis of established pathway representations and ontologies. Results Six groups participated in the CG task and two groups in the PC task, together applying a wide range of extraction approaches including both established state-of-the-art systems and newly introduced extraction methods. The best-performing systems achieved F-scores of 55% on the CG task and 53% on the PC task, demonstrating a level of performance comparable to the best results achieved in similar previously proposed tasks. Conclusions The results indicate that existing event extraction technology can generalize to meet the novel challenges represented by the CG and PC task settings, suggesting that extraction methods are capable of supporting the construction of knowledge bases on the molecular mechanisms of cancer and the curation of biomolecular pathway models. The CG and PC tasks continue as open challenges for all interested parties, with data, tools and resources available from the shared task homepage. PMID:26202570

Real-time information management environment (RIME)

NASA Astrophysics Data System (ADS)

DeCleene, Brian T.; Griffin, Sean; Matchett, Garry; Niejadlik, Richard

2000-08-01

Whereas data mining and exploitation improve the quality and quantity of information available to the user, there remains a mission requirement to assist the end-user in managing the access to this information and ensuring that the appropriate information is delivered to the right user in time to make decisions and take action. This paper discusses TASC's federated architecture to next- generation information management, contrasts the approach against emerging technologies, and quantifies the performance gains. This architecture and implementation, known as Real-time Information Management Environment (RIME), is based on two key concepts: information utility and content-based channelization. The introduction of utility allows users to express the importance and delivery requirements of their information needs in the context of their mission. Rather than competing for resources on a first-come/first-served basis, the infrastructure employs these utility functions to dynamically react to unanticipated loading by optimizing the delivered information utility. Furthermore, commander's resource policies shape these functions to ensure that resources are allocated according to military doctrine. Using information about the desired content, channelization identifies opportunities to aggregate users onto shared channels reducing redundant transmissions. Hence, channelization increases the information throughput of the system and balances sender/receiver processing load.

Identifying Factors that Most Strongly Predict Aircraft Reliability Behavior

DTIC Science & Technology

2013-06-01

time to perform a specific airlift mission or category of missions based on all pertinent operational and logistical factors.” ( Randall , 2004, p. 64...resources are contingent upon the demand and airfield environment. ( Randall , 2004) The challenge with researching and predicting MC rates is its...Departmental Publishing Office. http://www.e- publishing.af.mil/shared/media/epubs/AFDD3-17.pdf McClave JT, Benson PG, Sincich TS, (2011). Statistics for

An Innovative Time-Cost-Quality Tradeoff Modeling of Building Construction Project Based on Resource Allocation

PubMed Central

2014-01-01

The time, quality, and cost are three important but contradictive objectives in a building construction project. It is a tough challenge for project managers to optimize them since they are different parameters. This paper presents a time-cost-quality optimization model that enables managers to optimize multiobjectives. The model is from the project breakdown structure method where task resources in a construction project are divided into a series of activities and further into construction labors, materials, equipment, and administration. The resources utilized in a construction activity would eventually determine its construction time, cost, and quality, and a complex time-cost-quality trade-off model is finally generated based on correlations between construction activities. A genetic algorithm tool is applied in the model to solve the comprehensive nonlinear time-cost-quality problems. Building of a three-storey house is an example to illustrate the implementation of the model, demonstrate its advantages in optimizing trade-off of construction time, cost, and quality, and help make a winning decision in construction practices. The computational time-cost-quality curves in visual graphics from the case study prove traditional cost-time assumptions reasonable and also prove this time-cost-quality trade-off model sophisticated. PMID:24672351

Building Bridges to Integrate Care (BRIDGES): Incubating Health Service Innovation across the Continuum of Care for Patients with Multiple Chronic Conditions.

PubMed

Bhattacharyya, Onil; Schull, Michael; Shojania, Kaveh; Stergiopoulos, Vicky; Naglie, Gary; Webster, Fiona; Brandao, Ricardo; Mohammed, Tamara; Christian, Jennifer; Hawker, Gillian; Wilson, Lynn; Levinson, Wendy

2016-01-01

Integrating care for people with complex needs is challenging. Indeed, evidence of solutions is mixed, and therefore, well-designed, shared evaluation approaches are needed to create cumulative learning. The Toronto-based Building Bridges to Integrate Care (BRIDGES) collaborative provided resources to refine and test nine new models linking primary, hospital and community care. It used mixed methods, a cross-project meta-evaluation and shared outcome measures. Given the range of skills required to develop effective interventions, a novel incubator was used to test and spread opportunities for system integration that included operational expertise and support for evaluation and process improvement.

SoyBase Simple Semantic Web Architecture and Protocol (SSWAP) Services

USDA-ARS?s Scientific Manuscript database

Semantic web technologies offer the potential to link internet resources and data by shared concepts without having to rely on absolute lexical matches. Thus two web sites or web resources which are concerned with similar data types could be identified based on similar semantics. In the biological...

X-LUNA: Extending Free/Open Source Real Time Executive for On-Board Space Applications

NASA Astrophysics Data System (ADS)

Braga, P.; Henriques, L.; Zulianello, M.

2008-08-01

In this paper we present xLuna, a system based on the RTEMS [1] Real-Time Operating System that is able to run on demand a GNU/Linux Operating System [2] as RTEMS' lowest priority task. Linux runs in user-mode and in a different memory partition. This allows running Hard Real-Time tasks and Linux applications on the same system sharing the Hardware resources while keeping a safe isolation and the Real-Time characteristics of RTEMS. Communication between both Systems is possible through a loose coupled mechanism based on message queues. Currently only SPARC LEON2 processor with Memory Management Unit (MMU) is supported. The advantage in having two isolated systems is that non critical components are quickly developed or simply ported reducing time-to-market and budget.

The Shared Preference Niche of Sympatric Asiatic Black Bears and Sun Bears in a Tropical Forest Mosaic

PubMed Central

Steinmetz, Robert; Garshelis, David L.; Chutipong, Wanlop; Seuaturien, Naret

2011-01-01

Background Ecologically similar species often coexist by partitioning use of habitats or resources. Such partitioning can occur through divergent or shared niches. We investigated overlap in habitat use and spatial co-occurrence by sympatric Asiatic black bears and sun bears in three habitats in Thailand, and thereby assessed which niche model best accounts for their coexistence. Methods/Principal Findings We used density of species-specific signs to assess habitat use. Signs of both bear species occurred in all three habitats, and on >60% of sampling transects. Both species fed mostly on fruit; insect feeding signs were uncommon, and were mostly from sun bears. Significant differences in habitat use occurred only in montane forest, the habitat in which fruit was most abundant; incidence of black bear sign there was six times higher than that of sun bears. Habitat use was similar between the two species in the other habitats, which comprised 85% of the area. Of 10 habitat attributes examined, fruiting tree density was the best predictor of occurrence for both species. Models that included interspecific competition (fresh foraging activity of the other species) were less supported than the top models without competition. Conclusions/Significance Bear species co-occurrence at both coarse and fine spatial scales and use of the same resources (fruit trees) indicated common niche preferences. However, their habitat use differed in ways expected from their physical differences: larger black bears dominated in the most fruit-rich habitat, and smaller sun bears used less-preferred insects. These results indicate broadly overlapping fundamental niches combined with asymmetric competition—features consistent with the concept of shared preference niches. This model of the niche has received little attention in ecology, but appears to be relatively common in nature. PMID:21283792

Reproducibility in Computational Neuroscience Models and Simulations

PubMed Central

McDougal, Robert A.; Bulanova, Anna S.; Lytton, William W.

2016-01-01

Objective Like all scientific research, computational neuroscience research must be reproducible. Big data science, including simulation research, cannot depend exclusively on journal articles as the method to provide the sharing and transparency required for reproducibility. Methods Ensuring model reproducibility requires the use of multiple standard software practices and tools, including version control, strong commenting and documentation, and code modularity. Results Building on these standard practices, model sharing sites and tools have been developed that fit into several categories: 1. standardized neural simulators, 2. shared computational resources, 3. declarative model descriptors, ontologies and standardized annotations; 4. model sharing repositories and sharing standards. Conclusion A number of complementary innovations have been proposed to enhance sharing, transparency and reproducibility. The individual user can be encouraged to make use of version control, commenting, documentation and modularity in development of models. The community can help by requiring model sharing as a condition of publication and funding. Significance Model management will become increasingly important as multiscale models become larger, more detailed and correspondingly more difficult to manage by any single investigator or single laboratory. Additional big data management complexity will come as the models become more useful in interpreting experiments, thus increasing the need to ensure clear alignment between modeling data, both parameters and results, and experiment. PMID:27046845

Conducting research with tribal communities: sovereignty, ethics, and data-sharing issues.

PubMed

Harding, Anna; Harper, Barbara; Stone, Dave; O'Neill, Catherine; Berger, Patricia; Harris, Stuart; Donatuto, Jamie

2012-01-01

When conducting research with American Indian tribes, informed consent beyond conventional institutional review board (IRB) review is needed because of the potential for adverse consequences at a community or governmental level that are unrecognized by academic researchers. In this article, we review sovereignty, research ethics, and data-sharing considerations when doing community-based participatory health-related or natural-resource-related research with American Indian nations and present a model material and data-sharing agreement that meets tribal and university requirements. Only tribal nations themselves can identify potential adverse outcomes, and they can do this only if they understand the assumptions and methods of the proposed research. Tribes must be truly equal partners in study design, data collection, interpretation, and publication. Advances in protection of intellectual property rights (IPR) are also applicable to IRB reviews, as are principles of sovereignty and indigenous rights, all of which affect data ownership and control. Academic researchers engaged in tribal projects should become familiar with all three areas: sovereignty, ethics and informed consent, and IPR. We recommend developing an agreement with tribal partners that reflects both health-related IRB and natural-resource-related IPR considerations.

BingEO: Enable Distributed Earth Observation Data for Environmental Research

NASA Astrophysics Data System (ADS)

Wu, H.; Yang, C.; Xu, Y.

2010-12-01

Our planet is facing great environmental challenges including global climate change, environmental vulnerability, extreme poverty, and a shortage of clean cheap energy. To address these problems, scientists are developing various models to analysis, forecast, simulate various geospatial phenomena to support critical decision making. These models not only challenge our computing technology, but also challenge us to feed huge demands of earth observation data. Through various policies and programs, open and free sharing of earth observation data are advocated in earth science. Currently, thousands of data sources are freely available online through open standards such as Web Map Service (WMS), Web Feature Service (WFS) and Web Coverage Service (WCS). Seamless sharing and access to these resources call for a spatial Cyberinfrastructure (CI) to enable the use of spatial data for the advancement of related applied sciences including environmental research. Based on Microsoft Bing Search Engine and Bing Map, a seamlessly integrated and visual tool is under development to bridge the gap between researchers/educators and earth observation data providers. With this tool, earth science researchers/educators can easily and visually find the best data sets for their research and education. The tool includes a registry and its related supporting module at server-side and an integrated portal as its client. The proposed portal, Bing Earth Observation (BingEO), is based on Bing Search and Bing Map to: 1) Use Bing Search to discover Web Map Services (WMS) resources available over the internet; 2) Develop and maintain a registry to manage all the available WMS resources and constantly monitor their service quality; 3) Allow users to manually register data services; 4) Provide a Bing Maps-based Web application to visualize the data on a high-quality and easy-to-manipulate map platform and enable users to select the best data layers online. Given the amount of observation data accumulated already and still growing, BingEO will allow these resources to be utilized more widely, intensively, efficiently and economically in earth science applications.

Game theory and shared water resource management

NASA Astrophysics Data System (ADS)

Najafi, H.; Bagheri, A.

2011-12-01

Based on the "New Periodic Table" (NPT) of 2×2 order games by Robinson and Goforth (2005) this study explores all possible game structures, representing a conflict over a shared water resource between two countries. Each game is analyzed to find the possible outcomes (equilibria), Pareto-optimal outcomes, as well as dominant strategies of the players. It is explained why in practice, parties may behave in a way, resulting in Pareto-inferior outcomes and how parties may change their behavior with the structural changes of the game. Further, how parties may develop cooperative solutions through negotiations and involvement of third parties. This work provides useful policy insights into shared water resource problems and identifies the likely structure of such games in the future and the evolution path of the games.

Building A Community Focused Data and Modeling Collaborative platform with Hardware Virtualization Technology

NASA Astrophysics Data System (ADS)

Michaelis, A.; Wang, W.; Melton, F. S.; Votava, P.; Milesi, C.; Hashimoto, H.; Nemani, R. R.; Hiatt, S. H.

2009-12-01

As the length and diversity of the global earth observation data records grow, modeling and analyses of biospheric conditions increasingly requires multiple terabytes of data from a diversity of models and sensors. With network bandwidth beginning to flatten, transmission of these data from centralized data archives presents an increasing challenge, and costs associated with local storage and management of data and compute resources are often significant for individual research and application development efforts. Sharing community valued intermediary data sets, results and codes from individual efforts with others that are not in direct funded collaboration can also be a challenge with respect to time, cost and expertise. We purpose a modeling, data and knowledge center that houses NASA satellite data, climate data and ancillary data where a focused community may come together to share modeling and analysis codes, scientific results, knowledge and expertise on a centralized platform, named Ecosystem Modeling Center (EMC). With the recent development of new technologies for secure hardware virtualization, an opportunity exists to create specific modeling, analysis and compute environments that are customizable, “archiveable” and transferable. Allowing users to instantiate such environments on large compute infrastructures that are directly connected to large data archives may significantly reduce costs and time associated with scientific efforts by alleviating users from redundantly retrieving and integrating data sets and building modeling analysis codes. The EMC platform also provides the possibility for users receiving indirect assistance from expertise through prefabricated compute environments, potentially reducing study “ramp up” times.

The effects of voice and manual control mode on dual task performance

NASA Technical Reports Server (NTRS)

Wickens, C. D.; Zenyuh, J.; Culp, V.; Marshak, W.

1986-01-01

Two fundamental principles of human performance, compatibility and resource competition, are combined with two structural dichotomies in the human information processing system, manual versus voice output, and left versus right cerebral hemisphere, in order to predict the optimum combination of voice and manual control with either hand, for time-sharing performance of a dicrete and continuous task. Eight right handed male subjected performed a discrete first-order tracking task, time-shared with an auditorily presented Sternberg Memory Search Task. Each task could be controlled by voice, or by the left or right hand, in all possible combinations except for a dual voice mode. When performance was analyzed in terms of a dual-task decrement from single task control conditions, the following variables influenced time-sharing efficiency in diminishing order of magnitude, (1) the modality of control, (discrete manual control of tracking was superior to discrete voice control of tracking and the converse was true with the memory search task), (2) response competition, (performance was degraded when both tasks were responded manually), (3) hemispheric competition, (performance degraded whenever two tasks were controlled by the left hemisphere) (i.e., voice or right handed control). The results confirm the value of predictive models invoice control implementation.

Implementation of a Web-Based Collaborative Process Planning System

NASA Astrophysics Data System (ADS)

Wang, Huifen; Liu, Tingting; Qiao, Li; Huang, Shuangxi

Under the networked manufacturing environment, all phases of product manufacturing involving design, process planning, machining and assembling may be accomplished collaboratively by different enterprises, even different manufacturing stages of the same part may be finished collaboratively by different enterprises. Based on the self-developed networked manufacturing platform eCWS(e-Cooperative Work System), a multi-agent-based system framework for collaborative process planning is proposed. In accordance with requirements of collaborative process planning, share resources provided by cooperative enterprises in the course of collaboration are classified into seven classes. Then a reconfigurable and extendable resource object model is built. Decision-making strategy is also studied in this paper. Finally a collaborative process planning system e-CAPP is developed and applied. It provides strong support for distributed designers to collaboratively plan and optimize product process though network.

Spatial Modeling for Resources Framework (SMRF): A modular framework for developing spatial forcing data for snow modeling in mountain basins

NASA Astrophysics Data System (ADS)

Havens, Scott; Marks, Danny; Kormos, Patrick; Hedrick, Andrew

2017-12-01

In the Western US and many mountainous regions of the world, critical water resources and climate conditions are difficult to monitor because the observation network is generally very sparse. The critical resource from the mountain snowpack is water flowing into streams and reservoirs that will provide for irrigation, flood control, power generation, and ecosystem services. Water supply forecasting in a rapidly changing climate has become increasingly difficult because of non-stationary conditions. In response, operational water supply managers have begun to move from statistical techniques towards the use of physically based models. As we begin to transition physically based models from research to operational use, we must address the most difficult and time-consuming aspect of model initiation: the need for robust methods to develop and distribute the input forcing data. In this paper, we present a new open source framework, the Spatial Modeling for Resources Framework (SMRF), which automates and simplifies the common forcing data distribution methods. It is computationally efficient and can be implemented for both research and operational applications. We present an example of how SMRF is able to generate all of the forcing data required to a run physically based snow model at 50-100 m resolution over regions of 1000-7000 km2. The approach has been successfully applied in real time and historical applications for both the Boise River Basin in Idaho, USA and the Tuolumne River Basin in California, USA. These applications use meteorological station measurements and numerical weather prediction model outputs as input. SMRF has significantly streamlined the modeling workflow, decreased model set up time from weeks to days, and made near real-time application of a physically based snow model possible.

Integrating Reservations and Queuing in Remote Laboratory Scheduling

ERIC Educational Resources Information Center

Lowe, D.

2013-01-01

Remote laboratories (RLs) have become increasingly seen as a useful tool in supporting flexible shared access to scarce laboratory resources. An important element in supporting shared access is coordinating the scheduling of the laboratory usage. Optimized scheduling can significantly decrease access waiting times and improve the utilization level…

33 CFR 203.84 - Forms of local participation-cost sharing.

Code of Federal Regulations, 2011 CFR

2011-07-01

... sharing. 203.84 Section 203.84 Navigation and Navigable Waters CORPS OF ENGINEERS, DEPARTMENT OF THE ARMY, DEPARTMENT OF DEFENSE EMERGENCY EMPLOYMENT OF ARMY AND OTHER RESOURCES, NATURAL DISASTER PROCEDURES Local...; and/or accomplishment of work either concurrently or within a specified reasonable period of time. The...

33 CFR 203.84 - Forms of local participation-cost sharing.

Code of Federal Regulations, 2013 CFR

2013-07-01

... sharing. 203.84 Section 203.84 Navigation and Navigable Waters CORPS OF ENGINEERS, DEPARTMENT OF THE ARMY, DEPARTMENT OF DEFENSE EMERGENCY EMPLOYMENT OF ARMY AND OTHER RESOURCES, NATURAL DISASTER PROCEDURES Local...; and/or accomplishment of work either concurrently or within a specified reasonable period of time. The...

33 CFR 203.84 - Forms of local participation-cost sharing.

Code of Federal Regulations, 2012 CFR

2012-07-01

... sharing. 203.84 Section 203.84 Navigation and Navigable Waters CORPS OF ENGINEERS, DEPARTMENT OF THE ARMY, DEPARTMENT OF DEFENSE EMERGENCY EMPLOYMENT OF ARMY AND OTHER RESOURCES, NATURAL DISASTER PROCEDURES Local...; and/or accomplishment of work either concurrently or within a specified reasonable period of time. The...

33 CFR 203.84 - Forms of local participation-cost sharing.

Code of Federal Regulations, 2010 CFR

2010-07-01

... sharing. 203.84 Section 203.84 Navigation and Navigable Waters CORPS OF ENGINEERS, DEPARTMENT OF THE ARMY, DEPARTMENT OF DEFENSE EMERGENCY EMPLOYMENT OF ARMY AND OTHER RESOURCES, NATURAL DISASTER PROCEDURES Local...; and/or accomplishment of work either concurrently or within a specified reasonable period of time. The...

33 CFR 203.84 - Forms of local participation-cost sharing.

Code of Federal Regulations, 2014 CFR

2014-07-01

... sharing. 203.84 Section 203.84 Navigation and Navigable Waters CORPS OF ENGINEERS, DEPARTMENT OF THE ARMY, DEPARTMENT OF DEFENSE EMERGENCY EMPLOYMENT OF ARMY AND OTHER RESOURCES, NATURAL DISASTER PROCEDURES Local...; and/or accomplishment of work either concurrently or within a specified reasonable period of time. The...

Dynamic segment shared protection for multicast traffic in meshed wavelength-division-multiplexing optical networks

NASA Astrophysics Data System (ADS)

Liao, Luhua; Li, Lemin; Wang, Sheng

2006-12-01

We investigate the protection approach for dynamic multicast traffic under shared risk link group (SRLG) constraints in meshed wavelength-division-multiplexing optical networks. We present a shared protection algorithm called dynamic segment shared protection for multicast traffic (DSSPM), which can dynamically adjust the link cost according to the current network state and can establish a primary light-tree as well as corresponding SRLG-disjoint backup segments for a dependable multicast connection. A backup segment can efficiently share the wavelength capacity of its working tree and the common resources of other backup segments based on SRLG-disjoint constraints. The simulation results show that DSSPM not only can protect the multicast sessions against a single-SRLG breakdown, but can make better use of the wavelength resources and also lower the network blocking probability.

Exploring the Differences Between the European (SHARE) and the Reference Italian Seismic Hazard Models

NASA Astrophysics Data System (ADS)

Visini, F.; Meletti, C.; D'Amico, V.; Rovida, A.; Stucchi, M.

2014-12-01

The recent release of the probabilistic seismic hazard assessment (PSHA) model for Europe by the SHARE project (Giardini et al., 2013, www.share-eu.org) arises questions about the comparison between its results for Italy and the official Italian seismic hazard model (MPS04; Stucchi et al., 2011) adopted by the building code. The goal of such a comparison is identifying the main input elements that produce the differences between the two models. It is worthwhile to remark that each PSHA is realized with data and knowledge available at the time of the release. Therefore, even if a new model provides estimates significantly different from the previous ones that does not mean that old models are wrong, but probably that the current knowledge is strongly changed and improved. Looking at the hazard maps with 10% probability of exceedance in 50 years (adopted as the standard input in the Italian building code), the SHARE model shows increased expected values with respect to the MPS04 model, up to 70% for PGA. However, looking in detail at all output parameters of both the models, we observe a different behaviour for other spectral accelerations. In fact, for spectral periods greater than 0.3 s, the current reference PSHA for Italy proposes higher values than the SHARE model for many and large areas. This observation suggests that this behaviour could not be due to a different definition of seismic sources and relevant seismicity rates; it mainly seems the result of the adoption of recent ground-motion prediction equations (GMPEs) that estimate higher values for PGA and for accelerations with periods lower than 0.3 s and lower values for higher periods with respect to old GMPEs. Another important set of tests consisted in analysing separately the PSHA results obtained by the three source models adopted in SHARE (i.e., area sources, fault sources with background, and a refined smoothed seismicity model), whereas MPS04 only uses area sources. Results seem to confirm the strong impact of the new generation GMPEs on the seismic hazard estimates. Giardini D. et al., 2013. Seismic Hazard Harmonization in Europe (SHARE): Online Data Resource, doi:10.12686/SED-00000001-SHARE. Stucchi M. et al., 2011. Seismic Hazard Assessment (2003-2009) for the Italian Building Code. Bull. Seismol. Soc. Am. 101, 1885-1911.

HR Shared Services and the Realignment of HR.

ERIC Educational Resources Information Center

Reilly, P.

This report examines how adopting the shared services model of human resources (HR) services delivery can help businesses achieve better alignment between their HR service and specific business needs. Chapter 1 provides background information on the research project underlying this report, which included the following data collection activities:…

A strategy to implement and support pre-hospital emergency medical systems in developing, resource-constrained areas of South Africa.

PubMed

Sun, Jared H; Shing, Rachel; Twomey, Michele; Wallis, Lee A

2014-01-01

Resource-constrained countries are in extreme need of pre-hospital emergency care systems. However, current popular strategies to provide pre-hospital emergency care are inappropriate for and beyond the means of a resource-constrained country, and so new ones are needed-ones that can both function in an under-developed area's particular context and be done with the area's limited resources. In this study, we used a two-location pilot and consensus approach to develop a strategy to implement and support pre-hospital emergency care in one such developing, resource-constrained area: the Western Cape province of South Africa. Local community members are trained to be emergency first aid responders who can provide immediate, on-scene care until a Transporter can take the patient to the hospital. Management of the system is done through local Community Based Organizations, which can adapt the model to their communities as needed to ensure local appropriateness and feasibility. Within a community, the system is implemented in a graduated manner based on available resources, and is designed to not rely on the whole system being implemented first to provide partial function. The University of Cape Town's Division of Emergency Medicine and the Western Cape's provincial METRO EMS intend to follow this model, along with sharing it with other South African provinces. Copyright © 2012 Elsevier Ltd. All rights reserved.

Data governance and data sharing agreements for community-wide health information exchange: lessons from the beacon communities.

PubMed

Allen, Claudia; Des Jardins, Terrisca R; Heider, Arvela; Lyman, Kristin A; McWilliams, Lee; Rein, Alison L; Schachter, Abigail A; Singh, Ranjit; Sorondo, Barbara; Topper, Joan; Turske, Scott A

2014-01-01

Unprecedented efforts are underway across the United States to electronically capture and exchange health information to improve health care and population health, and reduce costs. This increased collection and sharing of electronic patient data raises several governance issues, including privacy, security, liability, and market competition. Those engaged in such efforts have had to develop data sharing agreements (DSAs) among entities involved in information exchange, many of whom are "nontraditional" health care entities and/or new partners. This paper shares lessons learned based on the experiences of six federally funded communities participating in the Beacon Community Cooperative Agreement Program, and offers guidance for navigating data governance issues and developing DSAs to facilitate community-wide health information exchange. While all entities involved in electronic data sharing must address governance issues and create DSAs accordingly, until recently little formal guidance existed for doing so - particularly for community-based initiatives. Despite this lack of guidance, together the Beacon Communities' experiences highlight promising strategies for navigating complex governance issues, which may be useful to other entities or communities initiating information exchange efforts to support delivery system transformation. For the past three years, AcademyHealth has provided technical assistance to most of the 17 Beacon Communities, 6 of whom contributed to this collaborative writing effort. Though these communities varied widely in terms of their demographics, resources, and Beacon-driven priorities, common themes emerged as they described their approaches to data governance and DSA development. The 6 Beacon Communities confirmed that DSAs are necessary to satisfy legal and market-based concerns, and they identified several specific issues, many of which have been noted by others involved in network data sharing initiatives. More importantly, these communities identified several promising approaches to timely and effective DSA development, including: stakeholder engagement; identification and effective communication of value; adoption of a parsimonious approach; attention to market-based concerns; flexibility in adapting and expanding existing agreements and partnerships; and anticipation of required time and investment.

Raising Virtual Laboratories in Australia onto global platforms

NASA Astrophysics Data System (ADS)

Wyborn, L. A.; Barker, M.; Fraser, R.; Evans, B. J. K.; Moloney, G.; Proctor, R.; Moise, A. F.; Hamish, H.

2016-12-01

Across the globe, Virtual Laboratories (VLs), Science Gateways (SGs), and Virtual Research Environments (VREs) are being developed that enable users who are not co-located to actively work together at various scales to share data, models, tools, software, workflows, best practices, etc. Outcomes range from enabling `long tail' researchers to more easily access specific data collections, to facilitating complex workflows on powerful supercomputers. In Australia, government funding has facilitated the development of a range of VLs through the National eResearch Collaborative Tools and Resources (NeCTAR) program. The VLs provide highly collaborative, research-domain oriented, integrated software infrastructures that meet user community needs. Twelve VLs have been funded since 2012, including the Virtual Geophysics Laboratory (VGL); Virtual Hazards, Impact and Risk Laboratory (VHIRL); Climate and Weather Science Laboratory (CWSLab); Marine Virtual Laboratory (MarVL); and Biodiversity and Climate Change Virtual Laboratory (BCCVL). These VLs share similar technical challenges, with common issues emerging on integration of tools, applications and access data collections via both cloud-based environments and other distributed resources. While each VL began with a focus on a specific research domain, communities of practice have now formed across the VLs around common issues, and facilitate identification of best practice case studies, and new standards. As a result, tools are now being shared where the VLs access data via data services using international standards such as ISO, OGC, W3C. The sharing of these approaches is starting to facilitate re-usability of infrastructure and is a step towards supporting interdisciplinary research. Whilst the focus of the VLs are Australia-centric, by using standards, these environments are able to be extended to analysis on other international datasets. Many VL datasets are subsets of global datasets and so extension to global is a small (and often requested) step. Similarly, most of the tools, software, and other technologies could be shared across infrastructures globally. Therefore, it is now time to better connect the Australian VLs with similar initiatives elsewhere to create international platforms that can contribute to global research challenges.

Comparative advantage between traditional and smart navigation systems

NASA Astrophysics Data System (ADS)

Shin, Jeongkyu; Kim, Pan-Jun; Kim, Seunghwan

2013-03-01

The smart navigation system that refers to real-time traffic data is believed to be superior to traditional navigation systems. To verify this belief, we created an agent-based traffic model and examined the effect of changing market share of the traditional shortest-travel-time algorithm based navigation and the smart navigation system. We tested our model on the grid and actual metropolitan road network structures. The result reveals that the traditional navigation system have better performance than the smart one as the market share of the smart navigation system exceeds a critical value, which is contrary to conventional expectation. We suggest that the superiority inversion between agent groups is strongly related to the traffic weight function form, and is general. We also found that the relationship of market share, traffic flow density and travel time is determined by the combination of congestion avoidance behavior of the smartly navigated agents and the inefficiency of shortest-travel-time based navigated agents. Our results can be interpreted with the minority game and extended to the diverse topics of opinion dynamics. This work was supported by the Original Technology Research Program for Brain Science through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology(No. 2010-0018847).

The magnitude, share and determinants of unpaid care costs for home-based palliative care service provision in Toronto, Canada.

PubMed

Chai, Huamin; Guerriere, Denise N; Zagorski, Brandon; Coyte, Peter C

2014-01-01

With increasing emphasis on the provision of home-based palliative care in Canada, economic evaluation is warranted, given its tremendous demands on family caregivers. Despite this, very little is known about the economic outcomes associated with home-based unpaid care-giving at the end of life. The aims of this study were to (i) assess the magnitude and share of unpaid care costs in total healthcare costs for home-based palliative care patients, from a societal perspective and (ii) examine the sociodemographic and clinical factors that account for variations in this share. One hundred and sixty-nine caregivers of patients with a malignant neoplasm were interviewed from time of referral to a home-based palliative care programme provided by the Temmy Latner Centre for Palliative Care at Mount Sinai Hospital, Toronto, Canada, until death. Information regarding palliative care resource utilisation and costs, time devoted to care-giving and sociodemographic and clinical characteristics was collected between July 2005 and September 2007. Over the last 12 months of life, the average monthly cost was $14 924 (2011 CDN$) per patient. Unpaid care-giving costs were the largest component - $11 334, accounting for 77% of total palliative care expenses, followed by public costs ($3211; 21%) and out-of-pocket expenditures ($379; 2%). In all cost categories, monthly costs increased exponentially with proximity to death. Seemingly unrelated regression estimation suggested that the share of unpaid care costs of total costs was driven by patients' and caregivers' sociodemographic characteristics. Results suggest that overwhelming the proportion of palliative care costs is unpaid care-giving. This share of costs requires urgent attention to identify interventions aimed at alleviating the heavy financial burden and to ultimately ensure the viability of home-based palliative care in future. © 2013 John Wiley & Sons Ltd.

Exploring Occupations in the Natural Resources: A Student Resource Guide for the Middle School.

ERIC Educational Resources Information Center

Mortensen, James H.; And Others

Section A of this resource guide is designed to help students develop knowledge of their personal strengths and weaknesses and understand the relationship of these characteristics to educational and vocational choices. Each time students experience a work role, they should be encouraged to share with other students: (1) their observation of job…

[The program of Founding Research Centers for Emerging and Reemerging Infectious Diseases: the present status and future prospects].

PubMed

Okamoto, Yoshiko; Nagai, Yoshiyuki

2007-12-01

The program of Founding Research Centers for Emerging and Reemerging Infectious Diseases was commenced in 2005 with an outline for Japanese universities and research institutions to establish bilateral collaboration research bases in countries where emerging and reemerging infections are breaking out or will likely break out. So far, six universities and two institutions are participating in the program and ten collaboration bases have been established in six countries (five in Asia and one in Africa). Each research base aims to contribute to the security and safety of the partner and own countries by facilitating better understanding of infectious diseases, technology innovation in diagnosis, therapy and prevention, and human resources development. The experiences of the Reseau International des Instituts Pasteur (RIIP), France, and the Wellcome Trust Southeast Asian Tropical Medicine Research Units (Oxford Network), United Kingdom, which appear to share similar missions, suggest that infectious diseases research that is based on overseas research bases can produce first-time results through the building of long-term mutual trust with the counterparts. By referring to these networks as models, Japan's program should be implemented over the long run but not be based on a short-time perspective. Thus, secure funding is a major issue.

Optimization of shared autonomy vehicle control architectures for swarm operations.

PubMed

Sengstacken, Aaron J; DeLaurentis, Daniel A; Akbarzadeh-T, Mohammad R

2010-08-01

The need for greater capacity in automotive transportation (in the midst of constrained resources) and the convergence of key technologies from multiple domains may eventually produce the emergence of a "swarm" concept of operations. The swarm, which is a collection of vehicles traveling at high speeds and in close proximity, will require technology and management techniques to ensure safe, efficient, and reliable vehicle interactions. We propose a shared autonomy control approach, in which the strengths of both human drivers and machines are employed in concert for this management. Building from a fuzzy logic control implementation, optimal architectures for shared autonomy addressing differing classes of drivers (represented by the driver's response time) are developed through a genetic-algorithm-based search for preferred fuzzy rules. Additionally, a form of "phase transition" from a safe to an unsafe swarm architecture as the amount of sensor capability is varied uncovers key insights on the required technology to enable successful shared autonomy for swarm operations.

Measuring the learning capacity of organisations: development and factor analysis of the Questionnaire for Learning Organizations.

PubMed

Oudejans, S C C; Schippers, G M; Schramade, M H; Koeter, M W J; van den Brink, W

2011-04-01

To investigate internal consistency and factor structure of a questionnaire measuring learning capacity based on Senge's theory of the five disciplines of a learning organisation: Personal Mastery, Mental Models, Shared Vision, Team Learning, and Systems Thinking. Cross-sectional study. Substance-abuse treatment centres (SATCs) in The Netherlands. A total of 293 SATC employees from outpatient and inpatient treatment departments, financial and human resources departments. Psychometric properties of the Questionnaire for Learning Organizations (QLO), including factor structure, internal consistency, and interscale correlations. A five-factor model representing the five disciplines of Senge showed good fit. The scales for Personal Mastery, Shared Vision and Team Learning had good internal consistency, but the scales for Systems Thinking and Mental Models had low internal consistency. The proposed five-factor structure was confirmed in the QLO, which makes it a promising instrument to assess learning capacity in teams. The Systems Thinking and the Mental Models scales have to be revised. Future research should be aimed at testing criterion and discriminatory validity.

Running a network on a shoestring: the Global Invasive Species Information Network

USGS Publications Warehouse

Jarnevich, Catherine S.; Simpson, Annie; Graham, James J; Newman, Gregory J.; Bargeron, Chuck T.

2015-01-01

The Global Invasive Species Information Network (GISIN) was conceptualized in 2004 to aggregate and disseminate invasive species data in a standardized way. A decade later the GISIN community has implemented a data portal and three of six GISIN data aggregation models in the GISIN data exchange Protocol, including invasive species status information, resource URLs, and occurrence data. The portal is based on a protocol developed by representatives from 15 countries and 27 organizations of the global invasive species information management community. The GISIN has 19 data providers sharing 34,343 species status records, 1,693,073 occurrences, and 15,601 resource URLs. While the GISIN's goal is to be global, much of its data and funding are provided by the United States. Several initiatives use the GISIN as their information backbone, such as the Great Lakes Early Detection Network (GLEDN) and the North American Invasive Species Network (NAISN). Here we share several success stories and organizational challenges that remain.

Integrating hydrologic modeling web services with online data sharing to prepare, store, and execute models in hydrology

NASA Astrophysics Data System (ADS)

Gan, T.; Tarboton, D. G.; Dash, P. K.; Gichamo, T.; Horsburgh, J. S.

2017-12-01

Web based apps, web services and online data and model sharing technology are becoming increasingly available to support research. This promises benefits in terms of collaboration, platform independence, transparency and reproducibility of modeling workflows and results. However, challenges still exist in real application of these capabilities and the programming skills researchers need to use them. In this research we combined hydrologic modeling web services with an online data and model sharing system to develop functionality to support reproducible hydrologic modeling work. We used HydroDS, a system that provides web services for input data preparation and execution of a snowmelt model, and HydroShare, a hydrologic information system that supports the sharing of hydrologic data, model and analysis tools. To make the web services easy to use, we developed a HydroShare app (based on the Tethys platform) to serve as a browser based user interface for HydroDS. In this integration, HydroDS receives web requests from the HydroShare app to process the data and execute the model. HydroShare supports storage and sharing of the results generated by HydroDS web services. The snowmelt modeling example served as a use case to test and evaluate this approach. We show that, after the integration, users can prepare model inputs or execute the model through the web user interface of the HydroShare app without writing program code. The model input/output files and metadata describing the model instance are stored and shared in HydroShare. These files include a Python script that is automatically generated by the HydroShare app to document and reproduce the model input preparation workflow. Once stored in HydroShare, inputs and results can be shared with other users, or published so that other users can directly discover, repeat or modify the modeling work. This approach provides a collaborative environment that integrates hydrologic web services with a data and model sharing system to enable model development and execution. The entire system comprised of the HydroShare app, HydroShare and HydroDS web services is open source and contributes to capability for web based modeling research.

Distributed Fair Auto Rate Medium Access Control for IEEE 802.11 Based WLANs

NASA Astrophysics Data System (ADS)

Zhu, Yanfeng; Niu, Zhisheng

Much research has shown that a carefully designed auto rate medium access control can utilize the underlying physical multi-rate capability to exploit the time-variation of the channel. In this paper, we develop a simple analytical model to elucidate the rule that maximizes the throughput of RTS/CTS based multi-rate wireless local area networks. Based on the discovered rule, we propose two distributed fair auto rate medium access control schemes called FARM and FARM+ from the view-point of throughput fairness and time-share fairness, respectively. With the proposed schemes, after receiving a RTS frame, the receiver selectively returns the CTS frame to inform the transmitter the maximum feasible rate probed by the signal-to-noise ratio of the received RTS frame. The key feature of the proposed schemes is that they are capable of maintaining throughput/time-share fairness in asymmetric situation where the distribution of SNR varies with stations. Extensive simulation results show that the proposed schemes outperform the existing throughput/time-share fair auto rate schemes in time-varying channel conditions.

An approach to medical knowledge sharing in a hospital information system using MCLink.

PubMed

Shibuya, Akiko; Inoue, Ryusuke; Nakayama, Masaharu; Kasahara, Shin; Maeda, Yukihiro; Umesato, Yoshimasa; Kondo, Yoshiaki

2013-08-01

Clinicians often need access to electronic information resources that answer questions that occur in daily clinical practice. This information generally comes from publicly available resources. However, clinicians also need knowledge on institution-specific information (e.g., institution-specific guidelines, choice of drug, choice of laboratory test, information on adverse events, and advice from professional colleagues). This information needs to be available in real time. This study characterizes these needs in order to build a prototype hospital information system (HIS) that can help clinicians get timely answers to questions. We previously designed medical knowledge units called Medical Cells (MCs). We developed a portal server of MCs that can create and store medical information such as institution-specific information. We then developed a prototype HIS that embeds MCs as links (MCLink); these links are based on specific terms (e.g., drug, laboratory test, and disease). This prototype HIS presents clinicians with institution-specific information. The HIS clients (e.g., clinicians, nurses, pharmacists, and laboratory technicians) can also create an MCLink in the HIS using the portal server in the hospital. The prototype HIS allowed efficient sharing and use of institution-specific information to clinicians at the point of care. This study included institution-specific information resources and advice from professional colleagues, both of which might have an important role in supporting good clinical decision making.

Transboundary study of the Milk River aquifer (Canada, USA): geological, conceptual and numerical models for the sound management of the regional groundwater resources

NASA Astrophysics Data System (ADS)

Pétré, Marie-Amélie; Rivera, Alfonso; Lefebvre, René

2016-04-01

The Milk River transboundary aquifer straddles southern Alberta (Canada) and northern Montana (United States), a semi-arid and water-short region. The extensive use of this regional sandstone aquifer over the 20th century has led to a major drop in water levels locally, and concerns about the durability of the resources have been raised since the mid-1950. Even though the Milk River Aquifer (MRA) has been studied for decades, most of the previous studies were limited by the international border, preventing a sound understanding of the aquifer dynamics. Yet, a complete portrait of the aquifer is required for proper management of this shared resource. The transboundary study of the MRA aims to overcome transboundary limitations by providing a comprehensive characterization of the groundwater resource at the aquifer scale, following a three-stage approach: 1) The development of a 3D unified geological model of the MRA (50,000 km2). The stratigraphic framework on both sides of the border was harmonized and various sources of geological data were unified to build the transboundary geological model. The delineation of the aquifer and the geometry and thicknesses of the geological units were defined continuously across the border. 2) Elaboration of a conceptual hydrogeological model by linking hydrogeological and geochemical data with the 3D unified geological model. This stage is based on a thorough literature review and focused complementary field work on both sides of the border. The conceptual model includes the determination of the groundwater flow pattern, the spatial distribution of hydraulic properties, a groundwater budget and the definition of the groundwater types. Isotopes (3H, 14C, 36Cl) were used to delineate the recharge area as well as the active and low-flow areas. 3) The building of a 3D numerical groundwater flow model of the MRA (26,000 km2). This model is a transposition of the geological and hydrogeological conceptual models. A pre-exploitation steady-state model and a subsequent transient numerical model with several exploitation scenarios were developed. The numerical model aims to test the conceptual model and to provide a basis to assess the best possible uses of this valuable resource that is shared by Canada and the United States of America. This study provides a unique approach with scientific tools for proper aquifer assessment and groundwater management at the aquifer scale, not interrupted by a jurisdictional boundary. These tools are combined and integrated into three models, which together will form the basis of reliable sustainable groundwater and aquifer management in cooperation, thus facilitating the creation of a system of transboundary water governance based on scientific knowledge.

Electronic Resource Sharing in Community Colleges: A Snapshot of Florida, Wisconsin, Texas, and Louisiana.

ERIC Educational Resources Information Center

Mahoney, Brian D.

2000-01-01

States that several states are establishing networks for resource sharing. Florida offers these resources through the Florida Distance Learning Library Initiative, Wisconsin has BadgerLink and WISCAT, TexShare provides library resource sharing in Texas, and Louisiana has LOUIS and LLN. These are some of the states successfully demonstrating…

Standardization of Performance Tests: A Proposal for Further Steps.

DTIC Science & Technology

1986-07-01

obviously demand substantial attention can sometimes be time shared perfectly. Wickens describes cases in which skilled pianists can time share sight-reading...effects of divided attention on information processing in tracking. Journal of Experimental Psychology, 1, 1-13. Wickens, C.D. (1984). Processing resources... attention he regards focused- divided attention tasks (e.g. dichotic listening, dual task situations) as theoretically useful. From his point of view good

Access Scheme for Controlling Mobile Agents and its Application to Share Medical Information.

PubMed

Liao, Yu-Ting; Chen, Tzer-Shyong; Chen, Tzer-Long; Chung, Yu-Fang; Chen, Yu- Xin; Hwang, Jen-Hung; Wang, Huihui; Wei, Wei

2016-05-01

This study is showing the advantage of mobile agents to conquer heterogeneous system environments and contribute to a virtual integrated sharing system. Mobile agents will collect medical information from each medical institution as a method to achieve the medical purpose of data sharing. Besides, this research also provides an access control and key management mechanism by adopting Public key cryptography and Lagrange interpolation. The safety analysis of the system is based on a network attacker's perspective. The achievement of this study tries to improve the medical quality, prevent wasting medical resources and make medical resources access to appropriate configuration.

The GeoDataPortal: A Standards-based Environmental Modeling Data Access and Manipulation Toolkit

NASA Astrophysics Data System (ADS)

Blodgett, D. L.; Kunicki, T.; Booth, N.; Suftin, I.; Zoerb, R.; Walker, J.

2010-12-01

Environmental modelers from fields of study such as climatology, hydrology, geology, and ecology rely on many data sources and processing methods that are common across these disciplines. Interest in inter-disciplinary, loosely coupled modeling and data sharing is increasing among scientists from the USGS, other agencies, and academia. For example, hydrologic modelers need downscaled climate change scenarios and land cover data summarized for the watersheds they are modeling. Subsequently, ecological modelers are interested in soil moisture information for a particular habitat type as predicted by the hydrologic modeler. The USGS Center for Integrated Data Analytics Geo Data Portal (GDP) project seeks to facilitate this loose model coupling data sharing through broadly applicable open-source web processing services. These services simplify and streamline the time consuming and resource intensive tasks that are barriers to inter-disciplinary collaboration. The GDP framework includes a catalog describing projects, models, data, processes, and how they relate. Using newly introduced data, or sources already known to the catalog, the GDP facilitates access to sub-sets and common derivatives of data in numerous formats on disparate web servers. The GDP performs many of the critical functions needed to summarize data sources into modeling units regardless of scale or volume. A user can specify their analysis zones or modeling units as an Open Geospatial Consortium (OGC) standard Web Feature Service (WFS). Utilities to cache Shapefiles and other common GIS input formats have been developed to aid in making the geometry available for processing via WFS. Dataset access in the GDP relies primarily on the Unidata NetCDF-Java library’s common data model. Data transfer relies on methods provided by Unidata’s Thematic Real-time Environmental Data Distribution System Data Server (TDS). TDS services of interest include the Open-source Project for a Network Data Access Protocol (OPeNDAP) standard for gridded time series, the OGC’s Web Coverage Service for high-density static gridded data, and Unidata’s CDM-remote for point time series. OGC WFS and Sensor Observation Service (SOS) are being explored as mechanisms to serve and access static or time series data attributed to vector geometry. A set of standardized XML-based output formats allows easy transformation into a wide variety of “model-ready” formats. Interested users will have the option of submitting custom transformations to the GDP or transforming the XML output as a post-process. The GDP project aims to support simple, rapid development of thin user interfaces (like web portals) to commonly needed environmental modeling-related data access and manipulation tools. Standalone, service-oriented components of the GDP framework provide the metadata cataloging, data subset access, and spatial-statistics calculations needed to support interdisciplinary environmental modeling.

Free and Innovative Teaching Resources for STEM Educators

NASA Astrophysics Data System (ADS)

Weber, W. J.; McWhirter, J.; Dirks, D.

2014-12-01

The Unidata Program Center has implemented a teaching resource facility that allows educators to create, access, and share collections of resource material related to atmospheric, oceanic, and other earth system phenomena. While the facility can manage almost any type of electronic resource, it is designed with scientific data and products, teaching tools such as lesson plans and guided exercises, and tools for displaying data in mind. In addition to being very easy for educators and students to access, the facility makes it simple for other educators and scientists to contribute content related to their own areas of expertise to the collection. This allows existing teaching resources to grow in depth and breadth over time, enhancing their relevance and providing insights from multiple disciplines. Based on the open-source RAMADDA content/data management framework, the teaching resource facility provides a variety of built-in services to analyze and display data, as well as support for Unidata's rich 3D client, the Interactive Data Viewer (IDV).

Agent-Based Modleing of Power Plants Placement to Evaluate the Clean Energy Standard Goal

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

Omitaomu, Olufemi A

2014-01-01

There is a political push for utilities to supply a specified share of their electricity sales from clean energy resources under the clean energy standard (CES). The goal is to achieve 80% clean energy by 2035. However, there are uncertainties about the ability of the utility industry to ramp up quickly even with the incentives that will be provided. Water availability from the streams is one of the major factors. The contiguous United States is divided into eighteen water regions, and multiple states share water from a single water region. Consequently, water usage decisions made in one state (located upstreammore » of a water region that crosses multiple states) will greatly impact what is available downstream in another state. In this paper, an agent-based modeling approach is proposed to evaluate the clean energy standard goal for water-dependent energy resources. Specifically, using a water region rather than a state boundary as a bounding envelope for the modeling and starting at the headwaters, virtual power plants are placed based on the conditions that there is: (i) suitable land to site a particular power plant, (ii) enough water that meet regulatory guidelines within 20 miles of the suitable land, and (iii) a 20-mile buffer zone from an existing or a virtual power plant. The results obtained are discussed in the context of the proposed clean energy standard goal for states that overlap with one water region.« less

Resource sharing of online teaching materials: The lon-capa project

NASA Astrophysics Data System (ADS)

Bauer, Wolfgang

2004-03-01

The use of information technology resources in conventional lecture-based courses, in distance-learning offerings, as well as hybrid courses, is increasing. But this may put additional burden on faculty, who are now asked to deliver this new content. Additionally, it may require the installation of commercial courseware systems, putting the colleges and universities in new financial licensing dependencies. To address exactly these two problems, the lon-capa system was invented to provide an open-source, gnu public license based, courseware system that allows for sharing of educational resources across institutional and disciplinary boundaries. This presentation will focus on both aspects of the system, the courseware capabilities that allow for customized environments for individual students, and the educational resources library that enables teachers to take full advantages of the work of their colleagues. Research results on learning effectiveness, resource and system usage patterns, and customization for different learning styles will be shown. Institutional perceptions of and responses to open source courseware systems will be discussed.

A Web-Based Learning and Assessment System To Support Flexible Education.

ERIC Educational Resources Information Center

Gardner, Lesley; Sheridan, D.; White, D.

2002-01-01

Describes the development of a computer-supported, Web-based learning system, CECIL, at the University of Auckland (New Zealand). Discusses the potential benefits that a university-wide resource management system may have in terms of educational flexibility, such as online learning for distance education, and resource sharing, as well as…

An ontology for component-based models of water resource systems

NASA Astrophysics Data System (ADS)

Elag, Mostafa; Goodall, Jonathan L.

2013-08-01

Component-based modeling is an approach for simulating water resource systems where a model is composed of a set of components, each with a defined modeling objective, interlinked through data exchanges. Component-based modeling frameworks are used within the hydrologic, atmospheric, and earth surface dynamics modeling communities. While these efforts have been advancing, it has become clear that the water resources modeling community in particular, and arguably the larger earth science modeling community as well, faces a challenge of fully and precisely defining the metadata for model components. The lack of a unified framework for model component metadata limits interoperability between modeling communities and the reuse of models across modeling frameworks due to ambiguity about the model and its capabilities. To address this need, we propose an ontology for water resources model components that describes core concepts and relationships using the Web Ontology Language (OWL). The ontology that we present, which is termed the Water Resources Component (WRC) ontology, is meant to serve as a starting point that can be refined over time through engagement by the larger community until a robust knowledge framework for water resource model components is achieved. This paper presents the methodology used to arrive at the WRC ontology, the WRC ontology itself, and examples of how the ontology can aid in component-based water resources modeling by (i) assisting in identifying relevant models, (ii) encouraging proper model coupling, and (iii) facilitating interoperability across earth science modeling frameworks.

Collaborative Information Retrieval Method among Personal Repositories

NASA Astrophysics Data System (ADS)

Kamei, Koji; Yukawa, Takashi; Yoshida, Sen; Kuwabara, Kazuhiro

In this paper, we describe a collaborative information retrieval method among personal repositorie and an implementation of the method on a personal agent framework. We propose a framework for personal agents that aims to enable the sharing and exchange of information resources that are distributed unevenly among individuals. The kernel of a personal agent framework is an RDF(resource description framework)-based information repository for storing, retrieving and manipulating privately collected information, such as documents the user read and/or wrote, email he/she exchanged, web pages he/she browsed, etc. The repository also collects annotations to information resources that describe relationships among information resources and records of interaction between the user and information resources. Since the information resources in a personal repository and their structure are personalized, information retrieval from other users' is an important application of the personal agent. A vector space model with a personalized concept-base is employed as an information retrieval mechanism in a personal repository. Since a personalized concept-base is constructed from information resources in a personal repository, it reflects its user's knowledge and interests. On the other hand, it leads to another problem while querying other users' personal repositories; that is, simply transferring query requests does not provide desirable results. To solve this problem, we propose a query equalization scheme based on a relevance feedback method for collaborative information retrieval between personalized concept-bases. In this paper, we describe an implementation of the collaborative information retrieval method and its user interface on the personal agent framework.

Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China

PubMed Central

Guo, Yanyong; Zhou, Jibiao; Wu, Yao; Li, Zhibin

2017-01-01

The boom in bike-sharing is receiving growing attention as societies become more aware of the importance of active non-motorized traffic modes. However, the low usage of this transport mode in China raises concerns. The primary objective of this study is to explore factors affecting bike-sharing usage and satisfaction degree of bike-sharing among the bike-sharing user population in China. Data were collected by a questionnaire survey in Ningbo. A bivariate ordered probit (BOP) model was developed to examine simultaneously those factors associated with both bike-sharing usage and satisfaction degree of bike-sharing among users. Marginal effects for contributory factors were calculated to quantify their impacts on the outcomes. The results showed that the BOP model can account for commonly shared unobserved characteristics within usage and satisfaction of bike-sharing. The BOP model results showed that the usage of bike-sharing was affected by gender, household bicycle/e-bike ownership, trip model, travel time, bike-sharing stations location, and users’ perception of bike-sharing. The satisfaction degree of bike-sharing was affected by household income, bike-sharing stations location, and users’ perception of bike-sharing. It is also found that bike-sharing usage and satisfaction degree are strongly correlated and positive in direction. The results can enhance our comprehension of the factors that affect usage and satisfaction degree of bike-sharing. Based on the results, some suggestions regarding planning, engineering, and public advocacy were discussed to increase the usage of bike-sharing in Ningbo, China. PMID:28934321

Controlling Distributed Planning

NASA Technical Reports Server (NTRS)

Clement, Bradley; Barrett, Anthony

2004-01-01

A system of software implements an extended version of an approach, denoted shared activity coordination (SHAC), to the interleaving of planning and the exchange of plan information among organizations devoted to different missions that normally communicate infrequently except that they need to collaborate on joint activities and/or the use of shared resources. SHAC enables the planning and scheduling systems of the organizations to coordinate by resolving conflicts while optimizing local planning solutions. The present software provides a framework for modeling and executing communication protocols for SHAC. Shared activities are represented in each interacting planning system to establish consensus on joint activities or to inform the other systems of consumption of a common resource or a change in a shared state. The representations of shared activities are extended to include information on (1) the role(s) of each participant, (2) permissions (defined as specifications of which participant controls what aspects of shared activities and scheduling thereof), and (3) constraints on the parameters of shared activities. Also defined in the software are protocols for changing roles, permissions, and constraints during the course of coordination and execution.

BrainLiner: A Neuroinformatics Platform for Sharing Time-Aligned Brain-Behavior Data

PubMed Central

Takemiya, Makoto; Majima, Kei; Tsukamoto, Mitsuaki; Kamitani, Yukiyasu

2016-01-01

Data-driven neuroscience aims to find statistical relationships between brain activity and task behavior from large-scale datasets. To facilitate high-throughput data processing and modeling, we created BrainLiner as a web platform for sharing time-aligned, brain-behavior data. Using an HDF5-based data format, BrainLiner treats brain activity and data related to behavior with the same salience, aligning both behavioral and brain activity data on a common time axis. This facilitates learning the relationship between behavior and brain activity. Using a common data file format also simplifies data processing and analyses. Properties describing data are unambiguously defined using a schema, allowing machine-readable definition of data. The BrainLiner platform allows users to upload and download data, as well as to explore and search for data from the web platform. A WebGL-based data explorer can visualize highly detailed neurophysiological data from within the web browser, and a data-driven search feature allows users to search for similar time windows of data. This increases transparency, and allows for visual inspection of neural coding. BrainLiner thus provides an essential set of tools for data sharing and data-driven modeling. PMID:26858636

Cross-layer shared protection strategy towards data plane in software defined optical networks

NASA Astrophysics Data System (ADS)

Xiong, Yu; Li, Zhiqiang; Zhou, Bin; Dong, Xiancun

2018-04-01

In order to ensure reliable data transmission on the data plane and minimize resource consumption, a novel protection strategy towards data plane is proposed in software defined optical networks (SDON). Firstly, we establish a SDON architecture with hierarchical structure of data plane, which divides the data plane into four layers for getting fine-grained bandwidth resource. Then, we design the cross-layer routing and resource allocation based on this network architecture. Through jointly considering the bandwidth resource on all the layers, the SDN controller could allocate bandwidth resource to working path and backup path in an economical manner. Next, we construct auxiliary graphs and transform the shared protection problem into the graph vertex coloring problem. Therefore, the resource consumption on backup paths can be reduced further. The simulation results demonstrate that the proposed protection strategy can achieve lower protection overhead and higher resource utilization ratio.

Towards structured sharing of raw and derived neuroimaging data across existing resources

PubMed Central

Keator, D.B.; Helmer, K.; Steffener, J.; Turner, J.A.; Van Erp, T.G.M.; Gadde, S.; Ashish, N.; Burns, G.A.; Nichols, B.N.

2013-01-01

Data sharing efforts increasingly contribute to the acceleration of scientific discovery. Neuroimaging data is accumulating in distributed domain-specific databases and there is currently no integrated access mechanism nor an accepted format for the critically important meta-data that is necessary for making use of the combined, available neuroimaging data. In this manuscript, we present work from the Derived Data Working Group, an open-access group sponsored by the Biomedical Informatics Research Network (BIRN) and the International Neuroimaging Coordinating Facility (INCF) focused on practical tools for distributed access to neuroimaging data. The working group develops models and tools facilitating the structured interchange of neuroimaging meta-data and is making progress towards a unified set of tools for such data and meta-data exchange. We report on the key components required for integrated access to raw and derived neuroimaging data as well as associated meta-data and provenance across neuroimaging resources. The components include (1) a structured terminology that provides semantic context to data, (2) a formal data model for neuroimaging with robust tracking of data provenance, (3) a web service-based application programming interface (API) that provides a consistent mechanism to access and query the data model, and (4) a provenance library that can be used for the extraction of provenance data by image analysts and imaging software developers. We believe that the framework and set of tools outlined in this manuscript have great potential for solving many of the issues the neuroimaging community faces when sharing raw and derived neuroimaging data across the various existing database systems for the purpose of accelerating scientific discovery. PMID:23727024

Using a Metro Map Metaphor for Organizing Web-Based Learning Resources.

ERIC Educational Resources Information Center

Bang, Tove; Gronbaek, Kaj; Hansen, Per Steen

This paper briefly describes the WebNize system and how it applies a Metro Map metaphor for organizing guided tours in Web based resources. Then, experiences in using the Metro Map based tours in a Knowledge Sharing project at the library at Aarhus School of Business (ASB) in Denmark, are discussed. The Library has been involved in establishing a…

On localization attacks against cloud infrastructure

NASA Astrophysics Data System (ADS)

Ge, Linqiang; Yu, Wei; Sistani, Mohammad Ali

2013-05-01

One of the key characteristics of cloud computing is the device and location independence that enables the user to access systems regardless of their location. Because cloud computing is heavily based on sharing resource, it is vulnerable to cyber attacks. In this paper, we investigate a localization attack that enables the adversary to leverage central processing unit (CPU) resources to localize the physical location of server used by victims. By increasing and reducing CPU usage through the malicious virtual machine (VM), the response time from the victim VM will increase and decrease correspondingly. In this way, by embedding the probing signal into the CPU usage and correlating the same pattern in the response time from the victim VM, the adversary can find the location of victim VM. To determine attack accuracy, we investigate features in both the time and frequency domains. We conduct both theoretical and experimental study to demonstrate the effectiveness of such an attack.

Experimental demonstration of bandwidth on demand (BoD) provisioning based on time scheduling in software-defined multi-domain optical networks

NASA Astrophysics Data System (ADS)

Zhao, Yongli; Li, Yajie; Wang, Xinbo; Chen, Bowen; Zhang, Jie

2016-09-01

A hierarchical software-defined networking (SDN) control architecture is designed for multi-domain optical networks with the Open Daylight (ODL) controller. The OpenFlow-based Control Virtual Network Interface (CVNI) protocol is deployed between the network orchestrator and the domain controllers. Then, a dynamic bandwidth on demand (BoD) provisioning solution is proposed based on time scheduling in software-defined multi-domain optical networks (SD-MDON). Shared Risk Link Groups (SRLG)-disjoint routing schemes are adopted to separate each tenant for reliability. The SD-MDON testbed is built based on the proposed hierarchical control architecture. Then the proposed time scheduling-based BoD (Ts-BoD) solution is experimentally demonstrated on the testbed. The performance of the Ts-BoD solution is evaluated with respect to blocking probability, resource utilization, and lightpath setup latency.

Making proteomics data accessible and reusable: Current state of proteomics databases and repositories

PubMed Central

Perez-Riverol, Yasset; Alpi, Emanuele; Wang, Rui; Hermjakob, Henning; Vizcaíno, Juan Antonio

2015-01-01

Compared to other data-intensive disciplines such as genomics, public deposition and storage of MS-based proteomics, data are still less developed due to, among other reasons, the inherent complexity of the data and the variety of data types and experimental workflows. In order to address this need, several public repositories for MS proteomics experiments have been developed, each with different purposes in mind. The most established resources are the Global Proteome Machine Database (GPMDB), PeptideAtlas, and the PRIDE database. Additionally, there are other useful (in many cases recently developed) resources such as ProteomicsDB, Mass Spectrometry Interactive Virtual Environment (MassIVE), Chorus, MaxQB, PeptideAtlas SRM Experiment Library (PASSEL), Model Organism Protein Expression Database (MOPED), and the Human Proteinpedia. In addition, the ProteomeXchange consortium has been recently developed to enable better integration of public repositories and the coordinated sharing of proteomics information, maximizing its benefit to the scientific community. Here, we will review each of the major proteomics resources independently and some tools that enable the integration, mining and reuse of the data. We will also discuss some of the major challenges and current pitfalls in the integration and sharing of the data. PMID:25158685

An optimization method for speech enhancement based on deep neural network

NASA Astrophysics Data System (ADS)

Sun, Haixia; Li, Sikun

2017-06-01

Now, this document puts forward a deep neural network (DNN) model with more credible data set and more robust structure. First, we take two regularization skills, dropout and sparsity constraint to strengthen the generalization ability of the model. In this way, not only the model is able to reach the consistency between the pre-training model and the fine-tuning model, but also it reduce resource consumption. Then network compression by weights sharing and quantization is allowed to reduce storage cost. In the end, we evaluate the quality of the reconstructed speech according to different criterion. The result proofs that the improved framework has good performance on speech enhancement and meets the requirement of speech processing.

Wireless Shared Resources: Sharing Right-Of-Way For Wireless Telecommunications, Guidance On Legal And Institutional Issues

DOT National Transportation Integrated Search

1997-06-06

PUBLIC-PRIVATE PARTNERSHIPS SHARED RESOURCE PROJECTS ARE PUBLIC-PRIVATE ARRANGEMENTS THAT INVOLVE SHARING PUBLIC PROPERTY SUCH AS RIGHTS-OF-WAY AND PRIVATE RESOURCES SUCH AS TELECOMMUNICATIONS CAPACITY AND EXPERTISE. TYPICALLY, PRIVATE TELECOMMUNI...

Coevolution of Information Sharing and Implementation of Evidence-Based Practices Among North American Tobacco Cessation Quitlines

PubMed Central

Saul, Jessie E.; Lemaire, Robin H.; Valente, Thomas W.; Leischow, Scott J.

2015-01-01

Objectives. We examined the coevolution of information sharing and implementation of evidence-based practices among US and Canadian tobacco cessation quitlines within the North American Quitline Consortium (NAQC). Methods. Web-based surveys were used to collect data from key respondents representing each of 74 participating funders of NAQC quitlines during the summer and fall of 2009, 2010, and 2011. We used stochastic actor-based models to estimate changes in information sharing and practice implementation in the NAQC network. Results. Funders were more likely to share information within their own country and with funders that contracted with the same service provider. Funders contracting with larger service providers shared less information but implemented significantly more practices. Funders connected to larger numbers of tobacco control researchers more often received information from other funders. Intensity of ties to the NAQC network administrative organization did not influence funders’ decisions to share information or implement practices. Conclusions. Our findings show the importance of monitoring the NAQC network over time. We recommend increased cross-border information sharing and sharing of information between funders contracting with different and smaller service providers. PMID:26180993

The role of information and communication technology in developing smart education

NASA Astrophysics Data System (ADS)

Roslina; Zarlis, Muhammad; Mawengkang, Herman; Sembiring, R. W.

2017-09-01

The right to get a proper education for every citizen had been regulated by the government, but not all citizens have the same opportunity. This is due to the other factors in the nation's infrastructure, Frontier, Outermost, and Disadvantaged (3T) which have not beenaccomodatedto access information and communication technology (ICT), and the ideal learning environment in order to pursue knowledge. This condition could be achieved by reforming higher education. Such reforms include the provision of educational services in the form of a flexible learner-oriented, and to change the curriculum with market based.These changes would include the provision of lecturers, professors, and professional teaching force. Another important effort is to update the quality of higher education with resource utilization. This paper proposes a new education business model to realize the Smart Education (SE), with an orientation on the proven skills and competitive.SE is the higher education system to optimize output (outcome) learning with combine individual learning and collaboration techniques based network system, informal practice learning and formal theory. UtilizingICT resources can improve the quality and access to higher education in supporting activities of higher education.This paper shows that ICT resources can support virtual connected with the use of shared resources, such as resource of information, learning resources, computing resources, and human resources.

Deployment and Evaluation of an Observations Data Model

NASA Astrophysics Data System (ADS)

Horsburgh, J. S.; Tarboton, D. G.; Zaslavsky, I.; Maidment, D. R.; Valentine, D.

2007-12-01

Environmental observations are fundamental to hydrology and water resources, and the way these data are organized and manipulated either enables or inhibits the analyses that can be performed. The CUAHSI Hydrologic Information System project is developing information technology infrastructure to support hydrologic science. This includes an Observations Data Model (ODM) that provides a new and consistent format for the storage and retrieval of environmental observations in a relational database designed to facilitate integrated analysis of large datasets collected by multiple investigators. Within this data model, observations are stored with sufficient ancillary information (metadata) about the observations to allow them to be unambiguously interpreted and used, and to provide traceable heritage from raw measurements to useable information. The design is based upon a relational database model that exposes each single observation as a record, taking advantage of the capability in relational database systems for querying based upon data values and enabling cross dimension data retrieval and analysis. This data model has been deployed, as part of the HIS Server, at the WATERS Network test bed observatories across the U.S where it serves as a repository for real time data in the observatory information system. The ODM holds the data that is then made available to investigators and the public through web services and the Data Access System for Hydrology (DASH) map based interface. In the WATERS Network test bed settings the ODM has been used to ingest, analyze and publish data from a variety of sources and disciplines. This paper will present an evaluation of the effectiveness of this initial deployment and the revisions that are being instituted to address shortcomings. The ODM represents a new, systematic way for hydrologists, scientists, and engineers to organize and share their data and thereby facilitate a fuller integrated understanding of water resources based on more extensive and fully specified information.

Time-Series Forecast Modeling on High-Bandwidth Network Measurements

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

Yoo, Wucherl; Sim, Alex

With the increasing number of geographically distributed scientific collaborations and the growing sizes of scientific data, it has become challenging for users to achieve the best possible network performance on a shared network. In this paper, we have developed a model to forecast expected bandwidth utilization on high-bandwidth wide area networks. The forecast model can improve the efficiency of the resource utilization and scheduling of data movements on high-bandwidth networks to accommodate ever increasing data volume for large-scale scientific data applications. A univariate time-series forecast model is developed with the Seasonal decomposition of Time series by Loess (STL) and themore » AutoRegressive Integrated Moving Average (ARIMA) on Simple Network Management Protocol (SNMP) path utilization measurement data. Compared with the traditional approach such as Box-Jenkins methodology to train the ARIMA model, our forecast model reduces computation time up to 92.6 %. It also shows resilience against abrupt network usage changes. Finally, our forecast model conducts the large number of multi-step forecast, and the forecast errors are within the mean absolute deviation (MAD) of the monitored measurements.« less

Time-Series Forecast Modeling on High-Bandwidth Network Measurements

DOE PAGES

Yoo, Wucherl; Sim, Alex

2016-06-24

With the increasing number of geographically distributed scientific collaborations and the growing sizes of scientific data, it has become challenging for users to achieve the best possible network performance on a shared network. In this paper, we have developed a model to forecast expected bandwidth utilization on high-bandwidth wide area networks. The forecast model can improve the efficiency of the resource utilization and scheduling of data movements on high-bandwidth networks to accommodate ever increasing data volume for large-scale scientific data applications. A univariate time-series forecast model is developed with the Seasonal decomposition of Time series by Loess (STL) and themore » AutoRegressive Integrated Moving Average (ARIMA) on Simple Network Management Protocol (SNMP) path utilization measurement data. Compared with the traditional approach such as Box-Jenkins methodology to train the ARIMA model, our forecast model reduces computation time up to 92.6 %. It also shows resilience against abrupt network usage changes. Finally, our forecast model conducts the large number of multi-step forecast, and the forecast errors are within the mean absolute deviation (MAD) of the monitored measurements.« less

Participatory Design of Human-Centered Cyberinfrastructure (Invited)

NASA Astrophysics Data System (ADS)

Pennington, D. D.; Gates, A. Q.

2010-12-01

Cyberinfrastructure, by definition, is about people sharing resources to achieve outcomes that cannot be reached independently. CI depends not just on creating discoverable resources, or tools that allow those resources to be processed, integrated, and visualized -- but on human activation of flows of information across those resources. CI must be centered on human activities. Yet for those CI projects that are directed towards observational science, there are few models for organizing collaborative research in ways that align individual research interests into a collective vision of CI-enabled science. Given that the emerging technologies are themselves expected to change the way science is conducted, it is not simply a matter of conducting requirements analysis on how scientists currently work, or building consensus among the scientists on what is needed. Developing effective CI depends on generating a new, creative vision of problem solving within a community based on computational concepts that are, in some cases, still very abstract and theoretical. The computer science theory may (or may not) be well formalized, but the potential for impact on any particular domain is typically ill-defined. In this presentation we will describe approaches being developed and tested at the CyberShARE Center of Excellence at University of Texas in El Paso for ill-structured problem solving within cross-disciplinary teams of scientists and computer scientists working on data intensive environmental and geoscience. These approaches deal with the challenges associated with sharing and integrating knowledge across disciplines; the challenges of developing effective teamwork skills in a culture that favors independent effort; and the challenges of evolving shared, focused research goals from ill-structured, vague starting points - all issues that must be confronted by every interdisciplinary CI project. We will introduce visual and semantic-based tools that can enable the collaborative research design process and illustrate their application in designing and developing useful end-to-end data solutions for scientists. Lastly, we will outline areas of future investigation within CyberShARE that we believe have the potential for high impact.

The attention-weighted sample-size model of visual short-term memory: Attention capture predicts resource allocation and memory load.

PubMed

Smith, Philip L; Lilburn, Simon D; Corbett, Elaine A; Sewell, David K; Kyllingsbæk, Søren

2016-09-01

We investigated the capacity of visual short-term memory (VSTM) in a phase discrimination task that required judgments about the configural relations between pairs of black and white features. Sewell et al. (2014) previously showed that VSTM capacity in an orientation discrimination task was well described by a sample-size model, which views VSTM as a resource comprised of a finite number of noisy stimulus samples. The model predicts the invariance of [Formula: see text] , the sum of squared sensitivities across items, for displays of different sizes. For phase discrimination, the set-size effect significantly exceeded that predicted by the sample-size model for both simultaneously and sequentially presented stimuli. Instead, the set-size effect and the serial position curves with sequential presentation were predicted by an attention-weighted version of the sample-size model, which assumes that one of the items in the display captures attention and receives a disproportionate share of resources. The choice probabilities and response time distributions from the task were well described by a diffusion decision model in which the drift rates embodied the assumptions of the attention-weighted sample-size model. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Examining Success Factors Related to ERP Implementations in Higher Education Shared Services Projects

ERIC Educational Resources Information Center

Stoyanoff, Dawn Galadriel Pfeiffer

2012-01-01

This study examined the enterprise resource planning (ERP) implementations that utilized a shared services model in higher education. The purpose of this research was to examine the critical success factors which were perceived to contribute to project success. This research employed a quantitative non-experimental correlational design and the…

Performance Evaluation of Remote Memory Access (RMA) Programming on Shared Memory Parallel Computers

NASA Technical Reports Server (NTRS)

Jin, Hao-Qiang; Jost, Gabriele; Biegel, Bryan A. (Technical Monitor)

2002-01-01

The purpose of this study is to evaluate the feasibility of remote memory access (RMA) programming on shared memory parallel computers. We discuss different RMA based implementations of selected CFD application benchmark kernels and compare them to corresponding message passing based codes. For the message-passing implementation we use MPI point-to-point and global communication routines. For the RMA based approach we consider two different libraries supporting this programming model. One is a shared memory parallelization library (SMPlib) developed at NASA Ames, the other is the MPI-2 extensions to the MPI Standard. We give timing comparisons for the different implementation strategies and discuss the performance.

Evaluation of Patient Centered Medical Home Practice Transformation Initiatives

PubMed Central

Crabtree, Benjamin F.; Chase, Sabrina M.; Wise, Christopher G.; Schiff, Gordon D.; Schmidt, Laura A.; Goyzueta, Jeanette R.; Malouin, Rebecca A.; Payne, Susan M. C.; Quinn, Michael T.; Nutting, Paul A.; Miller, William L.; Jaén, Carlos Roberto

2011-01-01

Background The patient-centered medical home (PCMH) has become a widely cited solution to the deficiencies in primary care delivery in the United States. To achieve the magnitude of change being called for in primary care, quality improvement interventions must focus on whole-system redesign, and not just isolated parts of medical practices. Methods Investigators participating in 9 different evaluations of Patient Centered Medical Home implementation shared experiences, methodological strategies, and evaluation challenges for evaluating primary care practice redesign. Results A year-long iterative process of sharing and reflecting on experiences produced consensus on 7 recommendations for future PCMH evaluations: (1) look critically at models being implemented and identify aspects requiring modification; (2) include embedded qualitative and quantitative data collection to detail the implementation process; (3) capture details concerning how different PCMH components interact with one another over time; (4) understand and describe how and why physician and staff roles do, or do not evolve; (5) identify the effectiveness of individual PCMH components and how they are used; (6) capture how primary care practices interface with other entities such as specialists, hospitals, and referral services; and (7) measure resources required for initiating and sustaining innovations. Conclusions Broad-based longitudinal, mixed-methods designs that provide for shared learning among practice participants, program implementers, and evaluators are necessary to evaluate the novelty and promise of the PCMH model. All PCMH evaluations should as comprehensive as possible, and at a minimum should include a combination of brief observations and targeted qualitative interviews along with quantitative measures. PMID:21079525

A Novel Cost Based Model for Energy Consumption in Cloud Computing

PubMed Central

Horri, A.; Dastghaibyfard, Gh.

2015-01-01

Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. PMID:25705716

A novel cost based model for energy consumption in cloud computing.

PubMed

Horri, A; Dastghaibyfard, Gh

2015-01-01

Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment.

Baseline Suitability Analysis

DTIC Science & Technology

2013-07-18

VA) • DFAS • Human Resources - HR Shared Services (Indianapolis, IN) • Personnel Security - HR Shared Services (Indianapolis, IN) DHRA...Security (Camp Lejeune) No Yes Yes AAFES Human Resources No No No Force Protection Yes Yes Yes DFAS Human Resources - HR Shared Services No...No No Personnel Security - HR Shared Services Yes Yes Yes DLA Human Resources No No Yes Personnel Security Yes Yes Yes DoDEA Human

SaaS Platform for Time Series Data Handling

NASA Astrophysics Data System (ADS)

Oplachko, Ekaterina; Rykunov, Stanislav; Ustinin, Mikhail

2018-02-01

The paper is devoted to the description of MathBrain, a cloud-based resource, which works as a "Software as a Service" model. It is designed to maximize the efficiency of the current technology and to provide a tool for time series data handling. The resource provides access to the following analysis methods: direct and inverse Fourier transforms, Principal component analysis and Independent component analysis decompositions, quantitative analysis, magnetoencephalography inverse problem solution in a single dipole model based on multichannel spectral data.

Clustering change patterns using Fourier transformation with time-course gene expression data.

PubMed

Kim, Jaehee

2011-01-01

To understand the behavior of genes, it is important to explore how the patterns of gene expression change over a period of time because biologically related gene groups can share the same change patterns. In this study, the problem of finding similar change patterns is induced to clustering with the derivative Fourier coefficients. This work is aimed at discovering gene groups with similar change patterns which share similar biological properties. We developed a statistical model using derivative Fourier coefficients to identify similar change patterns of gene expression. We used a model-based method to cluster the Fourier series estimation of derivatives. We applied our model to cluster change patterns of yeast cell cycle microarray expression data with alpha-factor synchronization. It showed that, as the method clusters with the probability-neighboring data, the model-based clustering with our proposed model yielded biologically interpretable results. We expect that our proposed Fourier analysis with suitably chosen smoothing parameters could serve as a useful tool in classifying genes and interpreting possible biological change patterns.

Decision support systems in health economics.

PubMed

Quaglini, S; Dazzi, L; Stefanelli, M; Barosi, G; Marchetti, M

1999-08-01

This article describes a system addressed to different health care professionals for building, using, and sharing decision support systems for resource allocation. The system deals with selected areas, namely the choice of diagnostic tests, the therapy planning, and the instrumentation purchase. Decision support is based on decision-analytic models, incorporating an explicit knowledge representation of both the medical domain knowledge and the economic evaluation theory. Application models are built on top of meta-models, that are used as guidelines for making explicit both the cost and effectiveness components. This approach improves the transparency and soundness of the collaborative decision-making process and facilitates the result interpretation.

Fair Shares and Sharing Fairly: A Survey of Public Views on Open Science, Informed Consent and Participatory Research in Biobanking.

PubMed

Joly, Yann; Dalpé, Gratien; So, Derek; Birko, Stanislav

2015-01-01

Biobanks are important resources which enable large-scale genomic research with human samples and data, raising significant ethical concerns about how participants' information is managed and shared. Three previous studies of the Canadian public's opinion about these topics have been conducted. Building on those results, an online survey representing the first study of public perceptions about biobanking spanning all Canadian provinces was conducted. Specifically, this study examined qualitative views about biobank objectives, governance structure, control and ownership of samples and data, benefit sharing, consent practices and data sharing norms, as well as additional questions and ethical concerns expressed by the public. Over half the respondents preferred to give a one-time general consent for the future sharing of their samples among researchers. Most expressed willingness for their data to be shared with the international scientific community rather than used by one or more Canadian institutions. Whereas more respondents indicated a preference for one-time general consent than any other model of consent, they constituted less than half of the total responses, revealing a lack of consensus among survey respondents regarding this question. Respondents identified biobank objectives, governance structure and accountability as the most important information to provide participants. Respondents' concerns about biobanking generally centred around the control and ownership of biological samples and data, especially with respect to potential misuse by insurers, the government and other third parties. Although almost half the respondents suggested that these should be managed by the researchers' institutions, results indicate that the public is interested in being well-informed about these projects and suggest the importance of increased involvement from participants. In conclusion, the study discusses the viability of several proposed models for informed consent, including e-governance, independent trustees and the use of exclusion clauses, in the context of these new findings about the views of the Canadian public.

Fair Shares and Sharing Fairly: A Survey of Public Views on Open Science, Informed Consent and Participatory Research in Biobanking

PubMed Central

Joly, Yann; Dalpé, Gratien; So, Derek; Birko, Stanislav

2015-01-01

Context Biobanks are important resources which enable large-scale genomic research with human samples and data, raising significant ethical concerns about how participants’ information is managed and shared. Three previous studies of the Canadian public’s opinion about these topics have been conducted. Building on those results, an online survey representing the first study of public perceptions about biobanking spanning all Canadian provinces was conducted. Specifically, this study examined qualitative views about biobank objectives, governance structure, control and ownership of samples and data, benefit sharing, consent practices and data sharing norms, as well as additional questions and ethical concerns expressed by the public. Results Over half the respondents preferred to give a one-time general consent for the future sharing of their samples among researchers. Most expressed willingness for their data to be shared with the international scientific community rather than used by one or more Canadian institutions. Whereas more respondents indicated a preference for one-time general consent than any other model of consent, they constituted less than half of the total responses, revealing a lack of consensus among survey respondents regarding this question. Respondents identified biobank objectives, governance structure and accountability as the most important information to provide participants. Respondents’ concerns about biobanking generally centred around the control and ownership of biological samples and data, especially with respect to potential misuse by insurers, the government and other third parties. Although almost half the respondents suggested that these should be managed by the researchers’ institutions, results indicate that the public is interested in being well-informed about these projects and suggest the importance of increased involvement from participants. In conclusion, the study discusses the viability of several proposed models for informed consent, including e-governance, independent trustees and the use of exclusion clauses, in the context of these new findings about the views of the Canadian public. PMID:26154134

Governance for public health and health equity: The Tröndelag model for public health work.

PubMed

Lillefjell, Monica; Magnus, Eva; Knudtsen, Margunn SkJei; Wist, Guri; Horghagen, Sissel; Espnes, Geir Arild; Maass, Ruca; Anthun, Kirsti Sarheim

2018-06-01

Multi-sectoral governance of population health is linked to the realization that health is the property of many societal systems. This study aims to contribute knowledge and methods that can strengthen the capacities of municipalities regarding how to work more systematically, knowledge-based and multi-sectoral in promoting health and health equity in the population. Process evaluation was conducted, applying a mixed-methods research design, combining qualitative and quantitative data collection methods. Processes strengthening systematic and multi-sectoral development, implementation and evaluation of research-based measures to promote health, quality of life, and health equity in, for and with municipalities were revealed. A step-by-step model, that emphasizes the promotion of knowledge-based, systematic, multi-sectoral public health work, as well as joint ownership of local resources, initiatives and policies has been developed. Implementation of systematic, knowledge-based and multi-sectoral governance of public health measures in municipalities demand shared understanding of the challenges, updated overview of the population health and impact factors, anchoring in plans, new skills and methods for selection and implementation of measures, as well as development of trust, ownership, shared ethics and goals among those involved.

Intelligent support of e-management for consumer-focused virtual enterprises

NASA Astrophysics Data System (ADS)

Chandra, Charu; Smirnov, Alexander V.

2000-10-01

The interest in consumer-focused virtual enterprises (VE) decision-making problem is growing fast. The purpose of this type of enterprise is to transform incomplete information about customer orders and available resources into-co-ordinated plans for production and replenishment of goods and services in the temporal network formed by collaborating units. This implies that information in the consumer-focused VE can be shared via Internet, Intranet, and Extranet for business-to-consumer (B2C), business-to-business service (B2B-S), and business-to-business goods (B2B-G) transactions. One of the goals of Internet-Based Management (e-management) is to facilitate transfer and sharing of data and knowledge in the context of enterprise collaboration. This paper discusses a generic framework of e-management that integrates intelligent information support group-decision making, and agreement modeling for a VE network. It offers the platform for design and modeling of diverse implementation strategies related to the type of agreement, optimization policies, decision-making strategies, organization structures, and information sharing strategies and mechanisms, and business policies for the VE.

Socio Cultural Media Sharing as Conversations Sensing and Modeling Behavior in Response to Environmental Changes

DTIC Science & Technology

2015-07-06

social media. Here we collected data in the form of social media user’s comments to news articles about hydrofracking (or, fracking ). This topic was...hydrofracking (or, fracking ). This topic was chosen because it is a timely social and political issue. Nearly 300 posts were analyzed with automated linguistic...or, fracking ). Next, we expanded our efforts to address image-based content shared via social media. We opted to collect all images shared via twitter

glideinWMS—a generic pilot-based workload management system

NASA Astrophysics Data System (ADS)

Sfiligoi, I.

2008-07-01

The Grid resources are distributed among hundreds of independent Grid sites, requiring a higher level Workload Management System (WMS) to be used efficiently. Pilot jobs have been used for this purpose by many communities, bringing increased reliability, global fair share and just in time resource matching. glideinWMS is a WMS based on the Condor glidein concept, i.e. a regular Condor pool, with the Condor daemons (startds) being started by pilot jobs, and real jobs being vanilla, standard or MPI universe jobs. The glideinWMS is composed of a set of Glidein Factories, handling the submission of pilot jobs to a set of Grid sites, and a set of VO Frontends, requesting pilot submission based on the status of user jobs. This paper contains the structural overview of glideinWMS as well as a detailed description of the current implementation and the current scalability limits.

glideinWMS - A generic pilot-based Workload Management System

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

Sfiligoi, Igor; /Fermilab

The Grid resources are distributed among hundreds of independent Grid sites, requiring a higher level Workload Management System (WMS) to be used efficiently. Pilot jobs have been used for this purpose by many communities, bringing increased reliability, global fair share and just in time resource matching. GlideinWMS is a WMS based on the Condor glidein concept, i.e. a regular Condor pool, with the Condor daemons (startds) being started by pilot jobs, and real jobs being vanilla, standard or MPI universe jobs. The glideinWMS is composed of a set of Glidein Factories, handling the submission of pilot jobs to a setmore » of Grid sites, and a set of VO Frontends, requesting pilot submission based on the status of user jobs. This paper contains the structural overview of glideinWMS as well as a detailed description of the current implementation and the current scalability limits.« less

A Framework for Sharing and Integrating Remote Sensing and GIS Models Based on Web Service

PubMed Central

Chen, Zeqiang; Lin, Hui; Chen, Min; Liu, Deer; Bao, Ying; Ding, Yulin

2014-01-01

Sharing and integrating Remote Sensing (RS) and Geographic Information System/Science (GIS) models are critical for developing practical application systems. Facilitating model sharing and model integration is a problem for model publishers and model users, respectively. To address this problem, a framework based on a Web service for sharing and integrating RS and GIS models is proposed in this paper. The fundamental idea of the framework is to publish heterogeneous RS and GIS models into standard Web services for sharing and interoperation and then to integrate the RS and GIS models using Web services. For the former, a “black box” and a visual method are employed to facilitate the publishing of the models as Web services. For the latter, model integration based on the geospatial workflow and semantic supported marching method is introduced. Under this framework, model sharing and integration is applied for developing the Pearl River Delta water environment monitoring system. The results show that the framework can facilitate model sharing and model integration for model publishers and model users. PMID:24901016

A framework for sharing and integrating remote sensing and GIS models based on Web service.

PubMed

Chen, Zeqiang; Lin, Hui; Chen, Min; Liu, Deer; Bao, Ying; Ding, Yulin

2014-01-01

Sharing and integrating Remote Sensing (RS) and Geographic Information System/Science (GIS) models are critical for developing practical application systems. Facilitating model sharing and model integration is a problem for model publishers and model users, respectively. To address this problem, a framework based on a Web service for sharing and integrating RS and GIS models is proposed in this paper. The fundamental idea of the framework is to publish heterogeneous RS and GIS models into standard Web services for sharing and interoperation and then to integrate the RS and GIS models using Web services. For the former, a "black box" and a visual method are employed to facilitate the publishing of the models as Web services. For the latter, model integration based on the geospatial workflow and semantic supported marching method is introduced. Under this framework, model sharing and integration is applied for developing the Pearl River Delta water environment monitoring system. The results show that the framework can facilitate model sharing and model integration for model publishers and model users.

Shared resources : sharing right-of-way for telecommunications : identification, review and analysis of legal and institutional issues

DOT National Transportation Integrated Search

1996-04-01

This report presents the results of research on the institutional and non-technical issues related to shared resource projects. Shared resource projects are a particular form of public-private partnering that may help public agencies underwrite their...

Successful Principles for Collaboration: Formation of the IAIMS Consortium.

ERIC Educational Resources Information Center

Stead, William W.; And Others

1991-01-01

Six universities collaborated in developing an integrated academic information management system (IAIMS) to manage data and information as a shared resource and to bring together resources for timely decision making. The program assists institutions in linking their library systems and other information systems to support education, research,…

Predictors of Department Viability in Periods of Decline.

ERIC Educational Resources Information Center

Robertson, Jane

Characteristics of academic departments that affect resource allocation to departments by the college or university are discussed, especially in times of retrenchment. Attention is focused on the ability of academic departments to maintain or increase their share of the resources allocated by the central governing board. Relevant departmental…

The Impacts of Information-Sharing Mechanisms on Spatial Market Formation Based on Agent-Based Modeling

PubMed Central

Li, Qianqian; Yang, Tao; Zhao, Erbo; Xia, Xing’ang; Han, Zhangang

2013-01-01

There has been an increasing interest in the geographic aspects of economic development, exemplified by P. Krugman’s logical analysis. We show in this paper that the geographic aspects of economic development can be modeled using multi-agent systems that incorporate multiple underlying factors. The extent of information sharing is assumed to be a driving force that leads to economic geographic heterogeneity across locations without geographic advantages or disadvantages. We propose an agent-based market model that considers a spectrum of different information-sharing mechanisms: no information sharing, information sharing among friends and pheromone-like information sharing. Finally, we build a unified model that accommodates all three of these information-sharing mechanisms based on the number of friends who can share information. We find that the no information-sharing model does not yield large economic zones, and more information sharing can give rise to a power-law distribution of market size that corresponds to the stylized fact of city size and firm size distributions. The simulations show that this model is robust. This paper provides an alternative approach to studying economic geographic development, and this model could be used as a test bed to validate the detailed assumptions that regulate real economic agglomeration. PMID:23484007

A Web-based Distributed Voluntary Computing Platform for Large Scale Hydrological Computations

NASA Astrophysics Data System (ADS)

Demir, I.; Agliamzanov, R.

2014-12-01

Distributed volunteer computing can enable researchers and scientist to form large parallel computing environments to utilize the computing power of the millions of computers on the Internet, and use them towards running large scale environmental simulations and models to serve the common good of local communities and the world. Recent developments in web technologies and standards allow client-side scripting languages to run at speeds close to native application, and utilize the power of Graphics Processing Units (GPU). Using a client-side scripting language like JavaScript, we have developed an open distributed computing framework that makes it easy for researchers to write their own hydrologic models, and run them on volunteer computers. Users will easily enable their websites for visitors to volunteer sharing their computer resources to contribute running advanced hydrological models and simulations. Using a web-based system allows users to start volunteering their computational resources within seconds without installing any software. The framework distributes the model simulation to thousands of nodes in small spatial and computational sizes. A relational database system is utilized for managing data connections and queue management for the distributed computing nodes. In this paper, we present a web-based distributed volunteer computing platform to enable large scale hydrological simulations and model runs in an open and integrated environment.

Building a sustainable Academic Health Department: the South Carolina model.

PubMed

Smith, Lillian Upton; Waddell, Lisa; Kyle, Joseph; Hand, Gregory A

2014-01-01

Given the limited resources available to public health, it is critical that university programs complement the development needs of agencies. Unfortunately, academic and practice public health entities have long been challenged in building sustainable collaborations that support practice-based research, teaching, and service. The academic health department concept offers a promising solution. In South Carolina, the partners started their academic health department program with a small grant that expanded into a dynamic infrastructure that supports innovative professional exchange and development programs. This article provides a background and describes the key elements of the South Carolina model: joint leadership, a multicomponent memorandum of agreement, and a shared professional development mission. The combination of these elements allows the partners to leverage resources and deftly respond to challenges and opportunities, ultimately fostering the sustainability of the collaboration.

Shared Ageing Research Models (ShARM): a new facility to support ageing research.

PubMed

Duran, Adele L; Potter, Paul; Wells, Sara; Kirkwood, Tom; von Zglinicki, Thomas; McArdle, Anne; Scudamore, Cheryl; Meng, Qing-Jun; de Haan, Gerald; Corcoran, Anne; Bellantuono, Ilaria

2013-12-01

In order to manage the rise in life expectancy and the concomitant increased occurrence of age-related diseases, research into ageing has become a strategic priority. Mouse models are commonly utilised as they share high homology with humans and show many similar signs and diseases of ageing. However, the time and cost needed to rear aged cohorts can limit research opportunities. Sharing of resources can provide an ethically and economically superior framework to overcome some of these issues but requires dedicated infrastructure. Shared Ageing Research Models (ShARM) ( www.ShARMUK.org ) is a new, not-for-profit organisation funded by Wellcome Trust, open to all investigators. It collects, stores and distributes flash frozen tissues from aged murine models through its biorepository and provides a database of live ageing mouse colonies available in the UK and abroad. It also has an online environment (MICEspace) for collation and analysis of data from communal models and discussion boards on subjects such as the welfare of ageing animals and common endpoints for intervention studies. Since launching in July 2012, thanks to the generosity of researchers in UK and Europe, ShARM has collected more than 2,500 tissues and has in excess of 2,000 mice registered in live ageing colonies. By providing the appropriate support, ShARM has been able to bring together the knowledge and experience of investigators in the UK and Europe to maximise research outputs with little additional cost and minimising animal use in order to facilitate progress in ageing research.

Theoretical and Empirical Comparison of Big Data Image Processing with Apache Hadoop and Sun Grid Engine

PubMed Central

Bao, Shunxing; Weitendorf, Frederick D.; Plassard, Andrew J.; Huo, Yuankai; Gokhale, Aniruddha; Landman, Bennett A.

2016-01-01

The field of big data is generally concerned with the scale of processing at which traditional computational paradigms break down. In medical imaging, traditional large scale processing uses a cluster computer that combines a group of workstation nodes into a functional unit that is controlled by a job scheduler. Typically, a shared-storage network file system (NFS) is used to host imaging data. However, data transfer from storage to processing nodes can saturate network bandwidth when data is frequently uploaded/retrieved from the NFS, e.g., “short” processing times and/or “large” datasets. Recently, an alternative approach using Hadoop and HBase was presented for medical imaging to enable co-location of data storage and computation while minimizing data transfer. The benefits of using such a framework must be formally evaluated against a traditional approach to characterize the point at which simply “large scale” processing transitions into “big data” and necessitates alternative computational frameworks. The proposed Hadoop system was implemented on a production lab-cluster alongside a standard Sun Grid Engine (SGE). Theoretical models for wall-clock time and resource time for both approaches are introduced and validated. To provide real example data, three T1 image archives were retrieved from a university secure, shared web database and used to empirically assess computational performance under three configurations of cluster hardware (using 72, 109, or 209 CPU cores) with differing job lengths. Empirical results match the theoretical models. Based on these data, a comparative analysis is presented for when the Hadoop framework will be relevant and non-relevant for medical imaging. PMID:28736473

Data-intensive science gateway for rock physicists and volcanologists.

NASA Astrophysics Data System (ADS)

Filgueira, Rosa; Atkinson, Malcom; Bell, Andrew; Main, Ian; Boon, Steve; Meredith, Philp; Kilburn, Christopher

2014-05-01

Scientists have always shared data and mathematical models of the phenomena they study. Rock physics and Volcanology, as well as other solid-Earth sciences, have increasingly used Internet communications and computational renditions of their models for this purpose over the last two decades. Here we consider how to organise rock physics and volcanology data to open up opportunities for sharing and comparing both experiment data from experiments, observations and model runs and analytic interpretations of these data. Our hypothesis is that if we facilitate productive information sharing across those communities by using a new science gateway, it will benefit the science. The proposed science gateway should make the first steps for making existing research practices easier and facilitate new research. It will achieve this by supporting three major functions: 1) sharing data from laboratories and observatories, experimental facilities and models; 2) sharing models of rock fracture and methods for analysing experimental data; and 3) supporting recurrent operational tasks, such as data collection and model application in real time. We report initial work in two projects (NERC EFFORT and NERC CREEP-2) and experience with an early web-accessible protytpe called EFFORT gateway, where we are implementing such information sharing services for those projects. 1. Sharing data: In EFFORT gateway, we are working on several facilities for sharing data: *Upload data: We have designed and developed a new adaptive data transfer java tool called FAST (Flexible Automated Streaming Transfer) to upload experimental data and metadata periodically from laboratories to our repository. *Visualisation: As data are deposited in the repository, a visualisation of the accumulated data is made available for display in the Web portal. *Metadata and catalogues: The gateway uses a repository to hold all the data and a catalogue to hold all the corresponding metadata. 2. Sharing models and methods: The EFFORT gateway uses a repository to hold all of the models and a catalogue to hold the corresponding metadata. It provides several Web facilities for uploading, accessing and testing models. *Upload and store models: Through the gateway, researchers can upload as many models to the repository as they want. *Description of models: The gateway solicits and creates metadata for every model uploaded to store in the catalogue. *Search for models: Researchers can search the catalogue for models by using prepackaged sql-queries. *Access to models: Once a researcher has selected the model(s) that is going to be used for analysing an experiment, it will be obtained from the gateway. *Services to test and run models: Once a researcher selects a model and the experimental data to which it should be applied, the gateway submits the corresponding computational job to a high-performance computational (HPC) resource hiding technical details. Once a job is submitted to the HPC cluster, the results are displayed in the gateway in real time, catalogued and stored in the data repository, allowing further researcher-instigated operations to retrieve, inspect and aggregate results. *Services to write models: We have desgined VarPy library, which is an open-source toolbox which provides a Python framework for analysing volcanology and rock physics data. It provides several functions, which allow users to define their own workflows to develop models, analyses and visualizations. 3. Recurrent Operations: We have started to introduce some recurrent operations: *Automated data upload: FAST provides a mechanism to automate the data upload. *Periodic activation of models: The EFFORT gateway allows researchers to run different models periodically against the experimental data that are being or have been uploaded

Identifying Barriers to Collaboration Between Primary Care and Public Health: Experiences at the Local Level.

PubMed

Pratt, Rebekah; Gyllstrom, Beth; Gearin, Kim; Lange, Carol; Hahn, David; Baldwin, Laura-Mae; VanRaemdonck, Lisa; Nease, Don; Zahner, Susan

Interest is increasing in collaborations between public health and primary care to address the health of a community. Although the understanding of how these collaborations work is growing, little is known about the barriers facing these partners at the local level. The objective of this study was to identify barriers to collaboration between primary care and public health at the local level in 4 states. The study team, which comprised 12 representatives of Practice-Based Research Networks (networks of practitioners interested in conducting research in practice-based settings), identified 40 key informants from the public health and primary care fields in Colorado, Minnesota, Washington State, and Wisconsin. The key informants participated in standardized, semistructured telephone interviews with 8 study team members in 2014 and 2015. Interviews were audio recorded and transcribed verbatim. We analyzed key themes and subthemes by drawing on grounded theory. Primary care and public health participants identified similar barriers to collaboration. Barriers at the institutional level included the challenges of the primary care environment, in which providers feel overwhelmed and resources are tight; the need for systems change; a lack of partnership; and geographic challenges. Barriers to collaboration included mutual awareness, communication, data sharing, capacity, lack of resources, and prioritization of resources. Some barriers to collaboration (eg, changes to health care billing, demands on provider time) require systems change to overcome, whereas others (eg, a lack of shared priorities and mutual awareness) could be addressed through educational approaches, without adding resources or making a systemic change. Overcoming these common barriers may lead to more effective collaboration.

Modelling inter-supply chain competition with resource limitation and demand disruption

NASA Astrophysics Data System (ADS)

Chen, Zhaobo; Teng, Chunxian; Zhang, Ding; Sun, Jiayi

2016-05-01

This paper proposes a comprehensive model for studying supply chain versus supply chain competition with resource limitation and demand disruption. We assume that there are supply chains with heterogeneous supply network structures that compete at multiple demand markets. Each supply chain is comprised of internal and external firms. The internal firms are coordinated in production and distribution and share some common but limited resources within the supply chain, whereas the external firms are independent and do not share the internal resources. The supply chain managers strive to develop optimal strategies in terms of production level and resource allocation in maximising their profit while facing competition at the end market. The Cournot-Nash equilibrium of this inter-supply chain competition is formulated as a variational inequality problem. We further study the case when there is demand disruption in the plan-execution phase. In such a case, the managers need to revise their planned strategy in order to maximise their profit with the new demand under disruption and minimise the cost of change. We present a bi-criteria decision-making model for supply chain managers and develop the optimal conditions in equilibrium, which again can be formulated by another variational inequality problem. Numerical examples are presented for illustrative purpose.

Independent coding of absolute duration and distance magnitudes in the prefrontal cortex

PubMed Central

Marcos, Encarni; Tsujimoto, Satoshi

2016-01-01

The estimation of space and time can interfere with each other, and neuroimaging studies have shown overlapping activation in the parietal and prefrontal cortical areas. We used duration and distance discrimination tasks to determine whether space and time share resources in prefrontal cortex (PF) neurons. Monkeys were required to report which of two stimuli, a red circle or blue square, presented sequentially, were longer and farther, respectively, in the duration and distance tasks. In a previous study, we showed that relative duration and distance are coded by different populations of neurons and that the only common representation is related to goal coding. Here, we examined the coding of absolute duration and distance. Our results support a model of independent coding of absolute duration and distance metrics by demonstrating that not only relative magnitude but also absolute magnitude are independently coded in the PF. NEW & NOTEWORTHY Human behavioral studies have shown that spatial and duration judgments can interfere with each other. We investigated the neural representation of such magnitudes in the prefrontal cortex. We found that the two magnitudes are independently coded by prefrontal neurons. We suggest that the interference among magnitude judgments might depend on the goal rather than the perceptual resource sharing. PMID:27760814

Improving regional health care in West Africa using current space systems and technology

NASA Technical Reports Server (NTRS)

Jemison, Mae C.; Thomas, J. Segun

1992-01-01

This paper discusses the issues involved with establishing an integrated satellite health network in West Africa based on currently available technology. The system proposed makes use of a central national facility capable of transmitting and receiving voice/data and video signals from the entire country. Regional, field and local facilities provide timely epidemiologic information, sharing of medical expertise through telemedical consultations, enhance optimized resource distribution and build a framework for telecommunications for the entire country.

Improving regional health care in West Africa using current space systems and technology

NASA Technical Reports Server (NTRS)

Jemison, Mae C.; Thomas, J. S.

1992-01-01

This paper discusses the issues involved with establishing an integrated satellite health network in West Africa based on currently available technology. The system proposed makes use of a central national facility capable of transmitting and receiving voice/data and video signals from the entire country. Regional, field and local facilities provides timely epidemiologic information, sharing of medical expertise through telemedical consultations, enhances optimized resource distribution and builds a framework for telecommunications for the entire country.

The Reallocation of Human Resources to Improve Student Achievement in a Time of Fiscal Constraints

ERIC Educational Resources Information Center

Behar, Steve

2013-01-01

This study compared the allocation of human resources of a K-12 unified school district in Southern California to the Evidence-Based model (Odden & Picus, 2008). Using document analysis and interviews of key administrators of the district, data was input into a spreadsheet to identify gaps between current practice and the Evidence-Based model.…

Ricebase - a resource for rice breeding

USDA-ARS?s Scientific Manuscript database

Ricebase combines accessions, traits, markers, and genes with genome-scale datasets to empower rice breeders and geneticists to explore big-data resources. The underlying code and schema are shared with CassavaBase and the Sol Genomics Network (SGN) databases. Ricebase was launched specifically to m...

Distributed intrusion detection system based on grid security model

NASA Astrophysics Data System (ADS)

Su, Jie; Liu, Yahui

2008-03-01

Grid computing has developed rapidly with the development of network technology and it can solve the problem of large-scale complex computing by sharing large-scale computing resource. In grid environment, we can realize a distributed and load balance intrusion detection system. This paper first discusses the security mechanism in grid computing and the function of PKI/CA in the grid security system, then gives the application of grid computing character in the distributed intrusion detection system (IDS) based on Artificial Immune System. Finally, it gives a distributed intrusion detection system based on grid security system that can reduce the processing delay and assure the detection rates.

Building community resilience to disasters through a community-based intervention: CART applications.

PubMed

Pfefferbaum, Rose L; Pfefferbaum, Betty; Van Horn, Richard L; Neas, Barbara R; Houston, J Brian

2013-01-01

The Communities Advancing Resilience Toolkit (CART)* is a community-driven, publicly available, theory-based, and evidence-informed community intervention designed to build community resilience to disasters and other adversities. Based on principles of participatory action research, CART applications contribute to community resilience by encouraging and supporting community participation and cooperation, communication, self-awareness, and critical reflection. The primary value of CART lies in its ability to stimulate analysis, collaboration, skill building, resource sharing, and purposeful action. In addition to generating community assessment data, CART can be used as a vehicle for delivering other interventions and creating sustainable capacity within communities. Two models for CART implementation are described.

Tripartite Governance: Enabling Successful Implementations with Vulnerable Populations.

PubMed

Kennedy, Margaret Ann

2016-01-01

Vulnerable populations are often at a distinct disadvantage when it comes to the implementation of health information systems in an equitable, appropriate, and timely manner. The disadvantages experienced by vulnerable populations are innumerable and include lack of representation, lack of appropriate levels of funding, lack of resources and capacity, and lack of representation. Increasingly, models of representation for complex implementations involve a tripartite project governance model. This tripartite partnership distributes accountability across all partners, and ensures that vulnerable populations have an equitable contribution to the direction of implementation according to their needs. This article shares lessons learned and best practices from complex tripartite partnerships supporting implementations with vulnerable populations in Canada.

Network support for turn-taking in multimedia collaboration

NASA Astrophysics Data System (ADS)

Dommel, Hans-Peter; Garcia-Luna-Aceves, Jose J.

1997-01-01

The effectiveness of collaborative multimedia systems depends on the regulation of access to their shared resources, such as continuous media or instruments used concurrently by multiple parties. Existing applications use only simple protocols to mediate such resource contention. Their cooperative rules follow a strict agenda and are largely application-specific. The inherent problem of floor control lacks a systematic methodology. This paper presents a general model on floor control for correct, scalable, fine-grained and fair resource sharing that integrates user interaction with network conditions, and adaptation to various media types. The motion of turn-taking known from psycholinguistics in studies on discourse structure is adapted for this framework. Viewed as a computational analogy to speech communication, online collaboration revolves around dynamically allocated access permissions called floors. The control semantics of floors derives from concurrently control methodology. An explicit specification and verification of a novel distributed Floor Control Protocol are presented. Hosts assume sharing roles that allow for efficient dissemination of control information, agreeing on a floor holder which is granted mutually exclusive access to a resource. Performance analytic aspects of floor control protocols are also briefly discussed.

Does a House Divided Stand? Kinship and the Continuity of Shared Living Arrangements

ERIC Educational Resources Information Center

Glick, Jennifer E.; Van Hook, Jennifer

2011-01-01

Shared living arrangements can provide housing, economies of scale, and other instrumental support and may become an important resource in times of economic constraint. But the extent to which such living arrangements experience continuity or rapid change in composition is unclear. Previous research on extended-family households tended to focus on…

Integration Framework of Process Planning based on Resource Independent Operation Summary to Support Collaborative Manufacturing

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

Kulvatunyou, Boonserm; Wysk, Richard A.; Cho, Hyunbo

2004-06-01

In today's global manufacturing environment, manufacturing functions are distributed as never before. Design, engineering, fabrication, and assembly of new products are done routinely in many different enterprises scattered around the world. Successful business transactions require the sharing of design and engineering data on an unprecedented scale. This paper describes a framework that facilitates the collaboration of engineering tasks, particularly process planning and analysis, to support such globalized manufacturing activities. The information models of data and the software components that integrate those information models are described. The integration framework uses an Integrated Product and Process Data (IPPD) representation called a Resourcemore » Independent Operation Summary (RIOS) to facilitate the communication of business and manufacturing requirements. Hierarchical process modeling, process planning decomposition and an augmented AND/OR directed graph are used in this representation. The Resource Specific Process Planning (RSPP) module assigns required equipment and tools, selects process parameters, and determines manufacturing costs based on two-level hierarchical RIOS data. The shop floor knowledge (resource and process knowledge) and a hybrid approach (heuristic and linear programming) to linearize the AND/OR graph provide the basis for the planning. Finally, a prototype system is developed and demonstrated with an exemplary part. Java and XML (Extensible Markup Language) are used to ensure software and information portability.« less

The influence of unemployment and divorce rate on child help-seeking behavior about violence, relationships, and other issues.

PubMed

van Dolen, Willemijn M; Weinberg, Charles B; Ma, Leiming

2013-01-01

This study examined the influence of community unemployment and divorce rate on child help-seeking behavior about violence and relationships via a telephone and Internet helpline. Time series analysis was conducted on monthly call volumes to a child helpline ('De Kindertelefoon') in the Netherlands from 2003 to 2008 and on the topics discussed (primarily Violence and Relationships) from 1994 to 2008 in answered calls and chats. As unemployment rises, the number of calls to the helpline increases. With increased unemployment, the share of conversations about violence and about relationships is found to be higher. When the divorce rate goes up, the number of calls to the helpline increases, but the share of Violence and of Relationships decreases. In addition, the share of contacts about Violence is increasing over time, while the share about Relationships is decreasing. Furthermore, the showing of violent movies is associated with fewer attempted helpline calls. Finally, seasonal variation in call volumes and the shares of calls about Violence and Relationships are found. Our data provide a unique and direct perspective on child help-seeking behavior. Our results suggest that more resources need to be devoted to resolving children's problems during times of unemployment as they seek more help particularly with respect to violence. Increased training of counselors with regard to children reporting incidents of violence is particularly important, as the share of contacts about violence is increasing over time and during a recession. Resources are especially needed as, on average, less than half of the calls to child helplines are actually answered. Copyright © 2012 Elsevier Ltd. All rights reserved.

ISA-TAB-Nano: a specification for sharing nanomaterial research data in spreadsheet-based format.

PubMed

Thomas, Dennis G; Gaheen, Sharon; Harper, Stacey L; Fritts, Martin; Klaessig, Fred; Hahn-Dantona, Elizabeth; Paik, David; Pan, Sue; Stafford, Grace A; Freund, Elaine T; Klemm, Juli D; Baker, Nathan A

2013-01-14

The high-throughput genomics communities have been successfully using standardized spreadsheet-based formats to capture and share data within labs and among public repositories. The nanomedicine community has yet to adopt similar standards to share the diverse and multi-dimensional types of data (including metadata) pertaining to the description and characterization of nanomaterials. Owing to the lack of standardization in representing and sharing nanomaterial data, most of the data currently shared via publications and data resources are incomplete, poorly-integrated, and not suitable for meaningful interpretation and re-use of the data. Specifically, in its current state, data cannot be effectively utilized for the development of predictive models that will inform the rational design of nanomaterials. We have developed a specification called ISA-TAB-Nano, which comprises four spreadsheet-based file formats for representing and integrating various types of nanomaterial data. Three file formats (Investigation, Study, and Assay files) have been adapted from the established ISA-TAB specification; while the Material file format was developed de novo to more readily describe the complexity of nanomaterials and associated small molecules. In this paper, we have discussed the main features of each file format and how to use them for sharing nanomaterial descriptions and assay metadata. The ISA-TAB-Nano file formats provide a general and flexible framework to record and integrate nanomaterial descriptions, assay data (metadata and endpoint measurements) and protocol information. Like ISA-TAB, ISA-TAB-Nano supports the use of ontology terms to promote standardized descriptions and to facilitate search and integration of the data. The ISA-TAB-Nano specification has been submitted as an ASTM work item to obtain community feedback and to provide a nanotechnology data-sharing standard for public development and adoption.

ISA-TAB-Nano: A Specification for Sharing Nanomaterial Research Data in Spreadsheet-based Format

PubMed Central

2013-01-01

Background and motivation The high-throughput genomics communities have been successfully using standardized spreadsheet-based formats to capture and share data within labs and among public repositories. The nanomedicine community has yet to adopt similar standards to share the diverse and multi-dimensional types of data (including metadata) pertaining to the description and characterization of nanomaterials. Owing to the lack of standardization in representing and sharing nanomaterial data, most of the data currently shared via publications and data resources are incomplete, poorly-integrated, and not suitable for meaningful interpretation and re-use of the data. Specifically, in its current state, data cannot be effectively utilized for the development of predictive models that will inform the rational design of nanomaterials. Results We have developed a specification called ISA-TAB-Nano, which comprises four spreadsheet-based file formats for representing and integrating various types of nanomaterial data. Three file formats (Investigation, Study, and Assay files) have been adapted from the established ISA-TAB specification; while the Material file format was developed de novo to more readily describe the complexity of nanomaterials and associated small molecules. In this paper, we have discussed the main features of each file format and how to use them for sharing nanomaterial descriptions and assay metadata. Conclusion The ISA-TAB-Nano file formats provide a general and flexible framework to record and integrate nanomaterial descriptions, assay data (metadata and endpoint measurements) and protocol information. Like ISA-TAB, ISA-TAB-Nano supports the use of ontology terms to promote standardized descriptions and to facilitate search and integration of the data. The ISA-TAB-Nano specification has been submitted as an ASTM work item to obtain community feedback and to provide a nanotechnology data-sharing standard for public development and adoption. PMID:23311978

Synchronization of Finite State Shared Resources

DTIC Science & Technology

1976-03-01

IMHI uiw mmm " AFOSR -TR- 70- 0^8 3 QC o SYNCHRONIZATION OF FINITE STATE SHARED RESOURCES Edward A Sei neide.- DEPARTMENT of COMPUTER...34" ■ ■ ^ I I. i. . : ,1 . i-i SYNCHRONIZATION OF FINITE STATE SHARED RESOURCES Edward A Schneider Department of Computer...SIGNIFICANT NUMBER OF PAGES WHICH DO NOT REPRODUCE LEGIBLY. ABSTRACT The problem of synchronizing a set of operations defined on a shared resource

Global Social Media Directory. A Resource Guide

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

Noonan, Christine F.; Piatt, Andrew W.

Social media platforms are internet-based applications focused on broadcasting user-generated content. While primarily web-based, these services are increasingly available on mobile platforms. Communities and individuals share information, photos, music, videos, provide commentary and ratings/reviews, and more. In essence, social media is about sharing information, consuming information, and repurposing content. Social media technologies identified in this report are centered on social networking services, media sharing, blogging and microblogging. The purpose of this Resource Guide is to provide baseline information about use and application of social media platforms around the globe. It is not intended to be comprehensive as social media evolvesmore » on an almost daily basis. The long-term goal of this work is to identify social media information about all geographic regions and nations. The primary objective is that of understanding the evolution and spread of social networking and user-generated content technologies internationally.« less

A simulation and optimisation procedure to model daily suppression resource transfers during a fire season in Colorado

Treesearch

Yu Wei; Erin J. Belval; Matthew P. Thompson; Dave E. Calkin; Crystal S. Stonesifer

2016-01-01

Sharing fire engines and crews between fire suppression dispatch zones may help improve the utilisation of fire suppression resources. Using the Resource Ordering and Status System, the Predictive Services’ Fire Potential Outlooks and the Rocky Mountain Region Preparedness Levels from 2010 to 2013, we tested a simulation and optimisation procedure to transfer crews and...

Virtual Small Business Emergency Operations Center (VSBEOC): Shared Awareness and Decision Making for Small Business

DTIC Science & Technology

2011-06-01

Shared Awareness and Decision Making for Small Business Topic(s) 2. Topic 1: Concepts, Theory , and Policy 1. Topic 5: Collaboration, Shared...emergencies do not have the time or the resources to collaborate on a continual basis with a large number of organizations. 3. A primary Crisis Management...Center (CMC) should be identified in advance. This is the initial site used by the Crisis Management Team and Response Teams for directing and

Quantification of Water Energy Nexus for Sustainable Development at Local Level: Case Study of Tamil Nadu

NASA Astrophysics Data System (ADS)

Grover, S.; Tayal, S.

2014-12-01

Interdependency between water and energy is generally transacted in trade-off mode; where either of the resource gets affected because of the other. Generally this trade-off is commonly known as water-energy nexus. Many studies have been undertaken in various parts of the world using various approaches to tease out the intricate nexus. This research has adopted a different approach to quantify the inter-dependency. The adopted approach made an attempt to tease out the nexus from demand side for both the resources. For water demand assessment PODIUM Sim model was used and for other parameters available secondary data was used. Using this approach percentage share of water for energy and energy for water was estimated. For an informed decision making and sustainable development, assessment was carried out at state level as most of the policies are made specifically for the state. The research was done for the southernmost state of India, Tamil Nadu which is a rapidly growing industrial hub. Tamil Nadu is energy and water intensive state and the analysis shows that the share of water demand from energy sector compared to water demand from other major sectors is miniscule. While, the energy demand in water sector for various processes in different sectors compared to energy demand as total has a comparable share of range 15-25%. This analysis indicated the relative risk sectors face in competition for the resource. It point outs that water sector faces fierce competition with other sectors for energy. Moreover, the results of the study has assessed that state has negative water balance, which may make access to water more energy intensive with time. But, a projection into future scenario with an assumption based on the ongoing policy program of improving irrigation efficiency was made. It provided a solution of a potential positive equilibrium which conserves both water and energy. This scenario gave promising results which indicated less of water demand from agricultural sector which is the most water intensive sector in the state, less requirement of energy for irrigation and improvement in overall water balance of the state.With the changing climate and growing population, resources at crisis can be managed sustainably if this nexus is decoded to understand the interdependency.

Temporal and Resource Reasoning for Planning, Scheduling and Execution in Autonomous Agents

NASA Technical Reports Server (NTRS)

Muscettola, Nicola; Hunsberger, Luke; Tsamardinos, Ioannis

2005-01-01

This viewgraph slide tutorial reviews methods for planning and scheduling events. The presentation reviews several methods and uses several examples of scheduling events for the successful and timely completion of the overall plan. Using constraint based models the presentation reviews planning with time, time representations in problem solving and resource reasoning.

QoS and energy aware cooperative routing protocol for wildfire monitoring wireless sensor networks.

PubMed

Maalej, Mohamed; Cherif, Sofiane; Besbes, Hichem

2013-01-01

Wireless sensor networks (WSN) are presented as proper solution for wildfire monitoring. However, this application requires a design of WSN taking into account the network lifetime and the shadowing effect generated by the trees in the forest environment. Cooperative communication is a promising solution for WSN which uses, at each hop, the resources of multiple nodes to transmit its data. Thus, by sharing resources between nodes, the transmission quality is enhanced. In this paper, we use the technique of reinforcement learning by opponent modeling, optimizing a cooperative communication protocol based on RSSI and node energy consumption in a competitive context (RSSI/energy-CC), that is, an energy and quality-of-service aware-based cooperative communication routing protocol. Simulation results show that the proposed algorithm performs well in terms of network lifetime, packet delay, and energy consumption.

A Service Delivery Model for Children with DCD Based on Principles of Best Practice.

PubMed

Camden, Chantal; Léger, France; Morel, Julie; Missiuna, Cheryl

2015-01-01

In this perspective article, we propose the Apollo model as an example of an innovative interdisciplinary, community-based service delivery model for children with Developmental Coordination Disorder (DCD) characterized by the use of graduated levels of intensity and evidence-based interventions that focus on function and participation. We describe the context that led to the creation of the Apollo model, describe the approach to service delivery and the services offered. The Apollo model has 5 components: first contact, service delivery coordination, community-, group-, and individual-interventions. This model guided the development of a streamlined set of services offered to children with DCD, including early-intake to share educational information with families, community interventions, inter-disciplinary and occupational therapy groups, and individual interventions. Following implementation of the Apollo model, wait-times decreased and the number of children receiving services increased, without compromising service quality. Lessons learned are shared to facilitate development of other practice models to support children with DCD.

Faster response time : effective use of resources : integrating transportation systems and emergency management systems

DOT National Transportation Integrated Search

1999-01-01

This brochure discusses how coordinating the efforts of emergency dispatchers with transportation management agencies can improve efficiency and response times. It is noted that when emergency services agencies share facilities and traffic monitoring...

Efficient Allocation of Resources for Defense of Spatially Distributed Networks Using Agent-Based Simulation.

PubMed

Kroshl, William M; Sarkani, Shahram; Mazzuchi, Thomas A

2015-09-01

This article presents ongoing research that focuses on efficient allocation of defense resources to minimize the damage inflicted on a spatially distributed physical network such as a pipeline, water system, or power distribution system from an attack by an active adversary, recognizing the fundamental difference between preparing for natural disasters such as hurricanes, earthquakes, or even accidental systems failures and the problem of allocating resources to defend against an opponent who is aware of, and anticipating, the defender's efforts to mitigate the threat. Our approach is to utilize a combination of integer programming and agent-based modeling to allocate the defensive resources. We conceptualize the problem as a Stackelberg "leader follower" game where the defender first places his assets to defend key areas of the network, and the attacker then seeks to inflict the maximum damage possible within the constraints of resources and network structure. The criticality of arcs in the network is estimated by a deterministic network interdiction formulation, which then informs an evolutionary agent-based simulation. The evolutionary agent-based simulation is used to determine the allocation of resources for attackers and defenders that results in evolutionary stable strategies, where actions by either side alone cannot increase its share of victories. We demonstrate these techniques on an example network, comparing the evolutionary agent-based results to a more traditional, probabilistic risk analysis (PRA) approach. Our results show that the agent-based approach results in a greater percentage of defender victories than does the PRA-based approach. © 2015 Society for Risk Analysis.