Knowledge Collisions: Perspectives from CED Practitioners Working with Women. NALL Working Paper.

ERIC Educational Resources Information Center

Stratton, Mary; Jackson, Ted

A study explored the ways that front-line community development workers across Canada gained information needed to work with women participants in community economic development initiatives. Data were gathered through focus groups, a preliminary study with 15 key informants employed in community development organizations, and structured telephone…

A taxonomic wish-list for community ecology.

PubMed Central

Gotelli, Nicholas J

2004-01-01

Community ecology seeks to explain the number and relative abundance of coexisting species. Four research frontiers in community ecology are closely tied to research in systematics and taxonomy: the statistics of species richness estimators, global patterns of biodiversity, the influence of global climate change on community structure, and phylogenetic influences on community structure. The most pressing needs for taxonomic information in community ecology research are usable taxonomic keys, current nomenclature, species occurrence records and resolved phylogenies. These products can best be obtained from Internet-based phylogenetic and taxonomic resources, but the lack of trained professional systematists and taxonomists threatens this effort. Community ecologists will benefit most directly from research in systematics and taxonomy by making better use of resources in museums and herbaria, and by actively seeking training, information and collaborations with taxonomic specialists. PMID:15253346

How community has shaped the Protein Data Bank.

PubMed

Berman, Helen M; Kleywegt, Gerard J; Nakamura, Haruki; Markley, John L

2013-09-03

Following several years of community discussion, the Protein Data Bank (PDB) was established in 1971 as a public repository for the coordinates of three-dimensional models of biological macromolecules. Since then, the number, size, and complexity of structural models have continued to grow, reflecting the productivity of structural biology. Managed by the Worldwide PDB organization, the PDB has been able to meet increasing demands for the quantity of structural information and of quality. In addition to providing unrestricted access to structural information, the PDB also works to promote data standards and to raise the profile of structural biology with broader audiences. In this perspective, we describe the history of PDB and the many ways in which the community continues to shape the archive. Copyright © 2013 Elsevier Ltd. All rights reserved.

Kern Community College District Information Technology Plan.

ERIC Educational Resources Information Center

Kern Community Coll. District, Bakersfield, CA.

The Information Technology Plan as set forth in this document provides the organizational structure, assignment of duties, infrastructure, and philosophic environment that should permit the Kern Community College District to proceed in an orderly manner in developing information technology to enhance student learning, serve the faculty, and…

Multilevel Drivers of HIV/AIDS among Black Philadelphians: Exploration Using Community Ethnography and Geographic Information Systems

PubMed Central

Brawner, Bridgette M.; Reason, Janaiya L.; Goodman, Bridget A.; Schensul, Jean J.; Guthrie, Barbara

2014-01-01

Background Unequal HIV/AIDS distribution is influenced by certain social and structural contexts that facilitate HIV transmission and concentrate HIV in disease epicenters. Thus, one of the first steps in designing effective community-level HIV/AIDS initiatives is to disentangle the influence of individual, social, and structural factors on HIV risk. Combining ethnographic methodology with geographic information systems (GIS) mapping can allow for a complex exploration of multilevel factors within communities that facilitate HIV transmission in highly affected areas. Objectives We present the formative comparative community-based case study findings of an investigation of individual-, social- , and structural-level factors that contribute to the HIV/AIDS epidemic among Black Philadelphians. Methods Communities were defined using census tracts. The methodology included ethnographic and GIS mapping, observation, informal conversations with residents and business owners, and secondary analyses of census tract-level data in four Philadelphia neighborhoods. Results Factors such as overcrowding, disadvantage, permeability in community boundaries, and availability and accessibility of health-related resources varied significantly. Further, HIV/AIDS trended with social and structural inequities above and beyond the community’s racial composition. Discussion This study was a first step to disentangle relationships between community-level factors and potential risk for HIV in an HIV epicenter. The findings also highlight stark sociodemographic differences within and across racial groups, and further substantiate the need for comprehensive, community-level HIV prevention interventions. These findings from targeted United States urban communities have potential applicability for examining the distribution of HIV/AIDS in broader national and international geosocial contexts. PMID:25738621

Building biomedical web communities using a semantically aware content management system.

PubMed

Das, Sudeshna; Girard, Lisa; Green, Tom; Weitzman, Louis; Lewis-Bowen, Alister; Clark, Tim

2009-03-01

Web-based biomedical communities are becoming an increasingly popular vehicle for sharing information amongst researchers and are fast gaining an online presence. However, information organization and exchange in such communities is usually unstructured, rendering interoperability between communities difficult. Furthermore, specialized software to create such communities at low cost-targeted at the specific common information requirements of biomedical researchers-has been largely lacking. At the same time, a growing number of biological knowledge bases and biomedical resources are being structured for the Semantic Web. Several groups are creating reference ontologies for the biomedical domain, actively publishing controlled vocabularies and making data available in Resource Description Framework (RDF) language. We have developed the Science Collaboration Framework (SCF) as a reusable platform for advanced structured online collaboration in biomedical research that leverages these ontologies and RDF resources. SCF supports structured 'Web 2.0' style community discourse amongst researchers, makes heterogeneous data resources available to the collaborating scientist, captures the semantics of the relationship among the resources and structures discourse around the resources. The first instance of the SCF framework is being used to create an open-access online community for stem cell research-StemBook (http://www.stembook.org). We believe that such a framework is required to achieve optimal productivity and leveraging of resources in interdisciplinary scientific research. We expect it to be particularly beneficial in highly interdisciplinary areas, such as neurodegenerative disease and neurorepair research, as well as having broad utility across the natural sciences.

A measure of community members' perceptions of the impacts of research partnerships in health and social services.

PubMed

King, Gillian; Servais, Michelle; Kertoy, Marilyn; Specht, Jacqueline; Currie, Melissa; Rosenbaum, Peter; Law, Mary; Forchuk, Cheryl; Chalmers, Heather; Willoughby, Teena

2009-08-01

Currently, there are no psychometrically sound outcome measures by which to assess the impacts of research partnerships. This article describes the development of a 33-item, survey questionnaire measuring community members' perceptions of the impact of research partnerships addressing health or social issues. The Community Impacts of Research Oriented Partnerships (CIROP) was developed using information from the literatures on health promotion, community development, research utilization, and community-based participatory research, and from focus groups involving 29 key informants. Data from 174 community members were used to determine the factor structure, internal consistency, and test-retest reliability of the four CIROP scales, and to provide evidence of construct validity. The CIROP informs research partnerships about the extent of their impact in the areas of Personal Knowledge Development, Personal Research Skill Development, Organizational/Group Access To and Use of Information, and Community and Organizational Development, allowing them to demonstrate accountability to funding bodies. As well, the CIROP can be used as a research tool to assess the effectiveness of knowledge sharing approaches, determine the most influential activities of research partnerships, and determine structural characteristics of partnerships associated with various types of impact. The CIROP provides a better understanding of community members' perspectives and expectations of research partnerships, with important implications for knowledge transfer and uptake.

Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes?

DOE PAGES

Graham, Emily B.; Knelman, Joseph E.; Schindlbacher, Andreas; ...

2016-02-24

In this study, microorganisms are vital in mediating the earth’s biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: ‘When do we need to understand microbial community structure to accurately predict function?’ We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of processmore » rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology.« less

Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes?

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

Graham, Emily B.; Knelman, Joseph E.; Schindlbacher, Andreas

In this study, microorganisms are vital in mediating the earth’s biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: ‘When do we need to understand microbial community structure to accurately predict function?’ We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of processmore » rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology.« less

Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?

PubMed Central

Graham, Emily B.; Knelman, Joseph E.; Schindlbacher, Andreas; Siciliano, Steven; Breulmann, Marc; Yannarell, Anthony; Beman, J. M.; Abell, Guy; Philippot, Laurent; Prosser, James; Foulquier, Arnaud; Yuste, Jorge C.; Glanville, Helen C.; Jones, Davey L.; Angel, Roey; Salminen, Janne; Newton, Ryan J.; Bürgmann, Helmut; Ingram, Lachlan J.; Hamer, Ute; Siljanen, Henri M. P.; Peltoniemi, Krista; Potthast, Karin; Bañeras, Lluís; Hartmann, Martin; Banerjee, Samiran; Yu, Ri-Qing; Nogaro, Geraldine; Richter, Andreas; Koranda, Marianne; Castle, Sarah C.; Goberna, Marta; Song, Bongkeun; Chatterjee, Amitava; Nunes, Olga C.; Lopes, Ana R.; Cao, Yiping; Kaisermann, Aurore; Hallin, Sara; Strickland, Michael S.; Garcia-Pausas, Jordi; Barba, Josep; Kang, Hojeong; Isobe, Kazuo; Papaspyrou, Sokratis; Pastorelli, Roberta; Lagomarsino, Alessandra; Lindström, Eva S.; Basiliko, Nathan; Nemergut, Diana R.

2016-01-01

Microorganisms are vital in mediating the earth’s biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: ‘When do we need to understand microbial community structure to accurately predict function?’ We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology. PMID:26941732

Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?

PubMed

Graham, Emily B; Knelman, Joseph E; Schindlbacher, Andreas; Siciliano, Steven; Breulmann, Marc; Yannarell, Anthony; Beman, J M; Abell, Guy; Philippot, Laurent; Prosser, James; Foulquier, Arnaud; Yuste, Jorge C; Glanville, Helen C; Jones, Davey L; Angel, Roey; Salminen, Janne; Newton, Ryan J; Bürgmann, Helmut; Ingram, Lachlan J; Hamer, Ute; Siljanen, Henri M P; Peltoniemi, Krista; Potthast, Karin; Bañeras, Lluís; Hartmann, Martin; Banerjee, Samiran; Yu, Ri-Qing; Nogaro, Geraldine; Richter, Andreas; Koranda, Marianne; Castle, Sarah C; Goberna, Marta; Song, Bongkeun; Chatterjee, Amitava; Nunes, Olga C; Lopes, Ana R; Cao, Yiping; Kaisermann, Aurore; Hallin, Sara; Strickland, Michael S; Garcia-Pausas, Jordi; Barba, Josep; Kang, Hojeong; Isobe, Kazuo; Papaspyrou, Sokratis; Pastorelli, Roberta; Lagomarsino, Alessandra; Lindström, Eva S; Basiliko, Nathan; Nemergut, Diana R

2016-01-01

Microorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: 'When do we need to understand microbial community structure to accurately predict function?' We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology.

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

NASA Astrophysics Data System (ADS)

Fan, W.; Yeung, K. H.

2015-03-01

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

Multimedia Information Networks in Social Media

NASA Astrophysics Data System (ADS)

Cao, Liangliang; Qi, Guojun; Tsai, Shen-Fu; Tsai, Min-Hsuan; Pozo, Andrey Del; Huang, Thomas S.; Zhang, Xuemei; Lim, Suk Hwan

The popularity of personal digital cameras and online photo/video sharing community has lead to an explosion of multimedia information. Unlike traditional multimedia data, many new multimedia datasets are organized in a structural way, incorporating rich information such as semantic ontology, social interaction, community media, geographical maps, in addition to the multimedia contents by themselves. Studies of such structured multimedia data have resulted in a new research area, which is referred to as Multimedia Information Networks. Multimedia information networks are closely related to social networks, but especially focus on understanding the topics and semantics of the multimedia files in the context of network structure. This chapter reviews different categories of recent systems related to multimedia information networks, summarizes the popular inference methods used in recent works, and discusses the applications related to multimedia information networks. We also discuss a wide range of topics including public datasets, related industrial systems, and potential future research directions in this field.

Observing and modelling phytoplankton community structure in the North Sea

NASA Astrophysics Data System (ADS)

Ford, David A.; van der Molen, Johan; Hyder, Kieran; Bacon, John; Barciela, Rosa; Creach, Veronique; McEwan, Robert; Ruardij, Piet; Forster, Rodney

2017-03-01

Phytoplankton form the base of the marine food chain, and knowledge of phytoplankton community structure is fundamental when assessing marine biodiversity. Policy makers and other users require information on marine biodiversity and other aspects of the marine environment for the North Sea, a highly productive European shelf sea. This information must come from a combination of observations and models, but currently the coastal ocean is greatly under-sampled for phytoplankton data, and outputs of phytoplankton community structure from models are therefore not yet frequently validated. This study presents a novel set of in situ observations of phytoplankton community structure for the North Sea using accessory pigment analysis. The observations allow a good understanding of the patterns of surface phytoplankton biomass and community structure in the North Sea for the observed months of August 2010 and 2011. Two physical-biogeochemical ocean models, the biogeochemical components of which are different variants of the widely used European Regional Seas Ecosystem Model (ERSEM), were then validated against these and other observations. Both models were a good match for sea surface temperature observations, and a reasonable match for remotely sensed ocean colour observations. However, the two models displayed very different phytoplankton community structures, with one better matching the in situ observations than the other. Nonetheless, both models shared some similarities with the observations in terms of spatial features and inter-annual variability. An initial comparison of the formulations and parameterizations of the two models suggests that diversity between the parameter settings of model phytoplankton functional types, along with formulations which promote a greater sensitivity to changes in light and nutrients, is key to capturing the observed phytoplankton community structure. These findings will help inform future model development, which should be coupled with detailed validation studies, in order to help facilitate the wider application of marine biogeochemical modelling to user and policy needs.

Linking Primary Care Information Systems and Public Health Vertical Programs in the Philippines: An Open-source Experience

PubMed Central

Tolentino, Herman; Marcelo, Alvin; Marcelo, Portia; Maramba, Inocencio

2005-01-01

Community-based primary care information systems are one of the building blocks for national health information systems. In the Philippines, after the devolution of health care to local governments, we observed “health information system islands” connected to national vertical programs being implemented in devolved health units. These structures lead to a huge amount of “information work” in the transformation of health information at the community level. This paper describes work done to develop and implement the open-source Community Based Health Information Tracking System (CHITS) Project, which was implemented to address this information management problem and its outcomes. Several lessons learned from the field as well as software development strategies are highlighted in building community level information systems that link to national level health information systems. PMID:16779052

Constructing financial network based on PMFG and threshold method

NASA Astrophysics Data System (ADS)

Nie, Chun-Xiao; Song, Fu-Tie

2018-04-01

Based on planar maximally filtered graph (PMFG) and threshold method, we introduced a correlation-based network named PMFG-based threshold network (PTN). We studied the community structure of PTN and applied ISOMAP algorithm to represent PTN in low-dimensional Euclidean space. The results show that the community corresponds well to the cluster in the Euclidean space. Further, we studied the dynamics of the community structure and constructed the normalized mutual information (NMI) matrix. Based on the real data in the market, we found that the volatility of the market can lead to dramatic changes in the community structure, and the structure is more stable during the financial crisis.

Mnemonic convergence in social networks: The emergent properties of cognition at a collective level.

PubMed

Coman, Alin; Momennejad, Ida; Drach, Rae D; Geana, Andra

2016-07-19

The development of shared memories, beliefs, and norms is a fundamental characteristic of human communities. These emergent outcomes are thought to occur owing to a dynamic system of information sharing and memory updating, which fundamentally depends on communication. Here we report results on the formation of collective memories in laboratory-created communities. We manipulated conversational network structure in a series of real-time, computer-mediated interactions in fourteen 10-member communities. The results show that mnemonic convergence, measured as the degree of overlap among community members' memories, is influenced by both individual-level information-processing phenomena and by the conversational social network structure created during conversational recall. By studying laboratory-created social networks, we show how large-scale social phenomena (i.e., collective memory) can emerge out of microlevel local dynamics (i.e., mnemonic reinforcement and suppression effects). The social-interactionist approach proposed herein points to optimal strategies for spreading information in social networks and provides a framework for measuring and forging collective memories in communities of individuals.

Dynamic structure of stock communities: a comparative study between stock returns and turnover rates

NASA Astrophysics Data System (ADS)

Su, Li-Ling; Jiang, Xiong-Fei; Li, Sai-Ping; Zhong, Li-Xin; Ren, Fei

2017-07-01

The detection of community structure in stock market is of theoretical and practical significance for the study of financial dynamics and portfolio risk estimation. We here study the community structures in Chinese stock markets from the aspects of both price returns and turnover rates, by using a combination of the PMFG and infomap methods based on a distance matrix. An empirical study using the overall data set shows that for both returns and turnover rates the largest communities are composed of specific industrial or conceptional sectors and the correlation inside a sector is generally larger than the correlation between different sectors. However, the community structure for turnover rates is more complex than that for returns, which indicates that the interactions between stocks revealed by turnover rates may contain more information. This conclusion is further confirmed by the analysis of the changes in the dynamics of community structures over five sub-periods. Sectors like banks, real estate, health care and New Shanghai take turns to comprise a few of the largest communities in different sub-periods, and more interestingly several specific sectors appear in the communities with different rank orders for returns and turnover rates even in the same sub-period. To better understand their differences, a comparison between the evolution of the returns and turnover rates of the stocks from these sectors is conducted. We find that stock prices only had large changes around important events while turnover rates surged after each of these events relevant to specific sectors, which shows strong evidence that the turnover rates are more susceptible to exogenous shocks than returns and its measurement for community detection may contain more useful information about market structure.

Ant colony clustering with fitness perception and pheromone diffusion for community detection in complex networks

NASA Astrophysics Data System (ADS)

Ji, Junzhong; Song, Xiangjing; Liu, Chunnian; Zhang, Xiuzhen

2013-08-01

Community structure detection in complex networks has been intensively investigated in recent years. In this paper, we propose an adaptive approach based on ant colony clustering to discover communities in a complex network. The focus of the method is the clustering process of an ant colony in a virtual grid, where each ant represents a node in the complex network. During the ant colony search, the method uses a new fitness function to percept local environment and employs a pheromone diffusion model as a global information feedback mechanism to realize information exchange among ants. A significant advantage of our method is that the locations in the grid environment and the connections of the complex network structure are simultaneously taken into account in ants moving. Experimental results on computer-generated and real-world networks show the capability of our method to successfully detect community structures.

Coordinating UAV information for executing national security-oriented collaboration

NASA Astrophysics Data System (ADS)

Isenor, Anthony W.; Allard, Yannick; Lapinski, Anna-Liesa S.; Demers, Hugues; Radulescu, Dan

2014-10-01

Unmanned Aerial Vehicles (UAVs) are being used by numerous nations for defence-related missions. In some cases, the UAV is considered a cost-effective means to acquire data such as imagery over a location or object. Considering Canada's geographic expanse, UAVs are also being suggested as a potential platform for use in surveillance of remote areas, such as northern Canada. However, such activities are typically associated with security as opposed to defence. The use of a defence platform for security activities introduces the issue of information exchange between the defence and security communities and their software applications. This paper explores the flow of information from the system used by the UAVs employed by the Royal Canadian Navy. Multiple computers are setup, each with the information system used by the UAVs, including appropriate communication between the systems. Simulated data that may be expected from a typical maritime UAV mission is then fed into the information system. The information structures common to the Canadian security community are then used to store and transfer the simulated data. The resulting data flow from the defence-oriented UAV system to the security-oriented information structure is then displayed using an open source geospatial application. Use of the information structures and applications relevant to the security community avoids the distribution restrictions often associated with defence-specific applications.

Distributed structure-searchable toxicity (DSSTox) public database network: a proposal.

PubMed

Richard, Ann M; Williams, ClarLynda R

2002-01-29

The ability to assess the potential genotoxicity, carcinogenicity, or other toxicity of pharmaceutical or industrial chemicals based on chemical structure information is a highly coveted and shared goal of varied academic, commercial, and government regulatory groups. These diverse interests often employ different approaches and have different criteria and use for toxicity assessments, but they share a need for unrestricted access to existing public toxicity data linked with chemical structure information. Currently, there exists no central repository of toxicity information, commercial or public, that adequately meets the data requirements for flexible analogue searching, Structure-Activity Relationship (SAR) model development, or building of chemical relational databases (CRD). The distributed structure-searchable toxicity (DSSTox) public database network is being proposed as a community-supported, web-based effort to address these shared needs of the SAR and toxicology communities. The DSSTox project has the following major elements: (1) to adopt and encourage the use of a common standard file format (structure data file (SDF)) for public toxicity databases that includes chemical structure, text and property information, and that can easily be imported into available CRD applications; (2) to implement a distributed source approach, managed by a DSSTox Central Website, that will enable decentralized, free public access to structure-toxicity data files, and that will effectively link knowledgeable toxicity data sources with potential users of these data from other disciplines (such as chemistry, modeling, and computer science); and (3) to engage public/commercial/academic/industry groups in contributing to and expanding this community-wide, public data sharing and distribution effort. The DSSTox project's overall aims are to effect the closer association of chemical structure information with existing toxicity data, and to promote and facilitate structure-based exploration of these data within a common chemistry-based framework that spans toxicological disciplines.

Testing the importance of family solidarity, community structure, information access, and social capital in predicting nutrition health knowledge and food choices in the Philippines.

PubMed

Moxley, Robert L; Jicha, Karl A; Thompson, Gretchen H

2011-01-01

This study investigates the influence of family solidarity, community structure, information access, social capital, and socioeconomic status on the extent of nutrition and health knowledge (NHK) among primary household meal planners. In turn, we pose the question: does this knowledge influence dietary decision making? Data are taken from a survey determining socioeconomic impacts of vitamin A fortified peanut butter on Philippine households. Questions on the relationships of nutrition to health were selected to construct a knowledge index on which household respondents could be ranked. We then tested hypotheses regarding what types of individual, family-level, and community structural characteristics would predict performance on this index. The results indicate that the strongest predictors of NHK come from sociological theory related to family solidarity and community centrality, in addition to information accessibility and household income. Our findings also indicate that NHK influences dietary choices with regard to the purchase of a vitamin fortified staple food product, which is essential when addressing nutritional deficiency problems in developing countries.

Dynamics and control of diseases in networks with community structure.

PubMed

Salathé, Marcel; Jones, James H

2010-04-08

The dynamics of infectious diseases spread via direct person-to-person transmission (such as influenza, smallpox, HIV/AIDS, etc.) depends on the underlying host contact network. Human contact networks exhibit strong community structure. Understanding how such community structure affects epidemics may provide insights for preventing the spread of disease between communities by changing the structure of the contact network through pharmaceutical or non-pharmaceutical interventions. We use empirical and simulated networks to investigate the spread of disease in networks with community structure. We find that community structure has a major impact on disease dynamics, and we show that in networks with strong community structure, immunization interventions targeted at individuals bridging communities are more effective than those simply targeting highly connected individuals. Because the structure of relevant contact networks is generally not known, and vaccine supply is often limited, there is great need for efficient vaccination algorithms that do not require full knowledge of the network. We developed an algorithm that acts only on locally available network information and is able to quickly identify targets for successful immunization intervention. The algorithm generally outperforms existing algorithms when vaccine supply is limited, particularly in networks with strong community structure. Understanding the spread of infectious diseases and designing optimal control strategies is a major goal of public health. Social networks show marked patterns of community structure, and our results, based on empirical and simulated data, demonstrate that community structure strongly affects disease dynamics. These results have implications for the design of control strategies.

Automatic Tool for Local Assembly Structures

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

Whole community shotgun sequencing of total DNA (i.e. metagenomics) and total RNA (i.e. metatranscriptomics) has provided a wealth of information in the microbial community structure, predicted functions, metabolic networks, and is even able to reconstruct complete genomes directly. Here we present ATLAS (Automatic Tool for Local Assembly Structures) a comprehensive pipeline for assembly, annotation, genomic binning of metagenomic and metatranscriptomic data with an integrated framework for Multi-Omics. This will provide an open source tool for the Multi-Omic community at large.

[Information transmission to the community pharmacist after a patient's discharge from the hospital: setting up of a written medication discharge form, prospective evaluation of its impact, and survey of the information needs of the pharmacists].

PubMed

Claeys, C; Dufrasne, M; De Vriese, C; Nève, J; Tulkens, P M; Spinewine, A

2015-03-01

Discharge from the hospital is a period at risk for the continuity of patient's medication (seamless pharmaceutical care). The community pharmacist is often the first health care professional seen by the patient after hospital discharge. The clinical pharmacist has potentially a key role in establishing an efficient information transfer from the hospital to the community pharmacy. (1) To develop and, (2) to evaluate the impact of a structured discharge medication form prepared at hospital discharge by the clinical pharmacist and containing information items related to the medication regimen for the community pharmacist, and (3) to survey the information needs of the Belgian community pharmacists to ensure continuity of care after hospitalization. (1) A structured discharge medication form has been developed based on a Literature review and on opinions expressed by community and clinical pharmacists, members of the Belgian Pharmaceutical Union (Association Pharmaceutique Belge) and an ethical committee. (2) A prospective study has been conducted with patients from geriatrics and orthopaedics wards of the University Hospital Dinant-Godinne returning home after hospital discharge with the discharge medication form to be given to their commuiity pharmacist; its use, the reasons for non-use, the perceived impact and the satisfaction of the community pharmacist have been assessed. (3) An on-line survey addressed to all Belgian community pharmacists evaluated their information needs. (1) The final version of the discharge medication form included key information items concerning the hospital, the patient, the discharge treatment (including the type of modifications made as compared to medications taken before admission), and on medication management at home. Some items were excluded because of Lack of perceived utility by pharmacists, confidentiality issues, and respect of patient's freedom of choice. (2) From the 71 medication forms given to patients, 48 were received by the community pharmacist. One quarter of respondents stated that they did not use the form, the main reason being that it was received after dispensing of the discharge treatment (n=6/11). The majority of the community pharmacists considered most of the information items as useful and the discharge medication form as being valuable for continuity of care. Requests for additional information were made (e.g., reason of admission and of treatment modifications, etc.). (3) The utility, benefits, and need for additional information items beyond what was included in the discharge medication form were highlighted by the respondents (n=309) of the national survey. Most of these respondents confirmed the value of the different information items included in the discharge medication form. The transmission of a structured medication form containing information about the medication regimen upon hospital discharge is of real interest and value for the community pharmacist because it goes beyond what is usually provided on a medical prescription. However, this discharge medication form should include more information items for effective pharmaceutical care.

Using a two-phase evolutionary framework to select multiple network spreaders based on community structure

NASA Astrophysics Data System (ADS)

Fu, Yu-Hsiang; Huang, Chung-Yuan; Sun, Chuen-Tsai

2016-11-01

Using network community structures to identify multiple influential spreaders is an appropriate method for analyzing the dissemination of information, ideas and infectious diseases. For example, data on spreaders selected from groups of customers who make similar purchases may be used to advertise products and to optimize limited resource allocation. Other examples include community detection approaches aimed at identifying structures and groups in social or complex networks. However, determining the number of communities in a network remains a challenge. In this paper we describe our proposal for a two-phase evolutionary framework (TPEF) for determining community numbers and maximizing community modularity. Lancichinetti-Fortunato-Radicchi benchmark networks were used to test our proposed method and to analyze execution time, community structure quality, convergence, and the network spreading effect. Results indicate that our proposed TPEF generates satisfactory levels of community quality and convergence. They also suggest a need for an index, mechanism or sampling technique to determine whether a community detection approach should be used for selecting multiple network spreaders.

The macro-structural variability of the human neocortex.

PubMed

Kruggel, Frithjof

2018-05-15

The human neocortex shows a considerable individual structural variability. While primary gyri and sulci are found in all normally developed brains and bear clear-cut gross structural descriptions, secondary structures are highly variable and not present in all brains. The blend of common and individual structures poses challenges when comparing structural and functional results from quantitative neuroimaging studies across individuals, and sets limits on the precision of location information much above the spatial resolution of current neuroimaging methods. This work aimed at quantifying structural variability on the neocortex, and at assessing the spatial relationship between regions common to all brains and their individual structural variants. Based on structural MRI data provided as the "900 Subjects Release" of the Human Connectome Project, a data-driven analytic approach was employed here from which the definition of seven cortical "communities" emerged. Apparently, these communities comprise common regions of structural features, while the individual variability is confined within a community. Similarities between the community structure and the state of the brain development at gestation week 32 lead suggest that communities are segregated early. Subdividing the neocortex into communities is suggested as anatomically more meaningful than the traditional lobar structure. Copyright © 2018 Elsevier Inc. All rights reserved.

Community health information sources--a survey in three disparate communities.

PubMed

Dart, Jared; Gallois, Cindy; Yellowlees, Peter

2008-02-01

To determine the current utilisation, importance, trust and future preference for contemporary sources of health information in three different socioeconomic groups. A pilot study including key informant interviews and direct observation was conducted in a low socioeconomic community. From this work a survey questionnaire was designed and implemented across three different communities. Semi-structured key informant interviews and focus groups capturing 52 respondents. Paper-based surveys were left in community organisations and local health practices in a low socioeconomic (LSE) community on the outskirts of Ipswich, Queensland, a mid-high socioeconomic (MSE) community in the western suburbs of Brisbane, and at a local university. Rank of current and preferred future sources of health information, importance and trustworthiness of health information sources. Across all three communities the local doctor was the most currently used, important, trusted and preferred future source of health information. The most striking difference between the three communities related to the current use and preferred future use of the internet. The internet was a more currently used source of health information and more important source in the university population than the LSE or MSE populations. It was also a less preferred source of future health information in the LSE population than the MSE or university populations. Importantly, currently used sources of health information did not reflect community members' preferred sources of health information. People in different socioeconomic communities obtain health information from various sources. This may reflect access issues, education and awareness of the internet as a source of health information, less health information seeking as well as a reluctance by the e-health community to address the specific needs of this group.

Clustering network layers with the strata multilayer stochastic block model.

PubMed

Stanley, Natalie; Shai, Saray; Taylor, Dane; Mucha, Peter J

2016-01-01

Multilayer networks are a useful data structure for simultaneously capturing multiple types of relationships between a set of nodes. In such networks, each relational definition gives rise to a layer. While each layer provides its own set of information, community structure across layers can be collectively utilized to discover and quantify underlying relational patterns between nodes. To concisely extract information from a multilayer network, we propose to identify and combine sets of layers with meaningful similarities in community structure. In this paper, we describe the "strata multilayer stochastic block model" (sMLSBM), a probabilistic model for multilayer community structure. The central extension of the model is that there exist groups of layers, called "strata", which are defined such that all layers in a given stratum have community structure described by a common stochastic block model (SBM). That is, layers in a stratum exhibit similar node-to-community assignments and SBM probability parameters. Fitting the sMLSBM to a multilayer network provides a joint clustering that yields node-to-community and layer-to-stratum assignments, which cooperatively aid one another during inference. We describe an algorithm for separating layers into their appropriate strata and an inference technique for estimating the SBM parameters for each stratum. We demonstrate our method using synthetic networks and a multilayer network inferred from data collected in the Human Microbiome Project.

Clustering network layers with the strata multilayer stochastic block model

PubMed Central

Stanley, Natalie; Shai, Saray; Taylor, Dane; Mucha, Peter J.

2016-01-01

Multilayer networks are a useful data structure for simultaneously capturing multiple types of relationships between a set of nodes. In such networks, each relational definition gives rise to a layer. While each layer provides its own set of information, community structure across layers can be collectively utilized to discover and quantify underlying relational patterns between nodes. To concisely extract information from a multilayer network, we propose to identify and combine sets of layers with meaningful similarities in community structure. In this paper, we describe the “strata multilayer stochastic block model” (sMLSBM), a probabilistic model for multilayer community structure. The central extension of the model is that there exist groups of layers, called “strata”, which are defined such that all layers in a given stratum have community structure described by a common stochastic block model (SBM). That is, layers in a stratum exhibit similar node-to-community assignments and SBM probability parameters. Fitting the sMLSBM to a multilayer network provides a joint clustering that yields node-to-community and layer-to-stratum assignments, which cooperatively aid one another during inference. We describe an algorithm for separating layers into their appropriate strata and an inference technique for estimating the SBM parameters for each stratum. We demonstrate our method using synthetic networks and a multilayer network inferred from data collected in the Human Microbiome Project. PMID:28435844

Social and place-focused communities in location-based online social networks

NASA Astrophysics Data System (ADS)

Brown, Chloë; Nicosia, Vincenzo; Scellato, Salvatore; Noulas, Anastasios; Mascolo, Cecilia

2013-06-01

Thanks to widely available, cheap Internet access and the ubiquity of smartphones, millions of people around the world now use online location-based social networking services. Understanding the structural properties of these systems and their dependence upon users' habits and mobility has many potential applications, including resource recommendation and link prediction. Here, we construct and characterise social and place-focused graphs by using longitudinal information about declared social relationships and about users' visits to physical places collected from a popular online location-based social service. We show that although the social and place-focused graphs are constructed from the same data set, they have quite different structural properties. We find that the social and location-focused graphs have different global and meso-scale structure, and in particular that social and place-focused communities have negligible overlap. Consequently, group inference based on community detection performed on the social graph alone fails to isolate place-focused groups, even though these do exist in the network. By studying the evolution of tie structure within communities, we show that the time period over which location data are aggregated has a substantial impact on the stability of place-focused communities, and that information about place-based groups may be more useful for user-centric applications than that obtained from the analysis of social communities alone.

Molecular Survey of Concrete Biofilm Microbial Communities

EPA Science Inventory

Although several studies have shown that bacteria can deteriorate concrete structures, there is very little information on the composition of concrete microbial communities. To this end, we studied different microbial communities associated with concrete biofilms using 16S rRNA g...

The Impact of Formal versus Informal Sport: Mapping the Differences in Sense of Community

ERIC Educational Resources Information Center

Warner, Stacy; Dixon, Marlene A.; Chalip, Laurence

2012-01-01

As the popularity of sport continues to grow, more community developers, planners, and leaders are recognizing the ability for sport to foster community. Similar to other community contexts, understanding the structure and management of sport remains central to community building. Therefore, the aim of this study is to explain how sport system…

Phytophthora community structure analyses in Oregon nurseries inform systems approaches to disease management

Treesearch

J.L. Parke; B.J. Knaus; V.J. Fieland; C. Lewis; N.J. Grünwald

2014-01-01

Nursery plants are important vectors for plant pathogens. Understanding what pathogens occur in nurseries in different production stages can be useful to the development of integrated systems approaches. Four horticultural nurseries in Oregon were sampled every 2 months for 4 years to determine the identity and community structure of Phytophthora...

Mnemonic convergence in social networks: The emergent properties of cognition at a collective level

PubMed Central

Coman, Alin; Momennejad, Ida; Drach, Rae D.; Geana, Andra

2016-01-01

The development of shared memories, beliefs, and norms is a fundamental characteristic of human communities. These emergent outcomes are thought to occur owing to a dynamic system of information sharing and memory updating, which fundamentally depends on communication. Here we report results on the formation of collective memories in laboratory-created communities. We manipulated conversational network structure in a series of real-time, computer-mediated interactions in fourteen 10-member communities. The results show that mnemonic convergence, measured as the degree of overlap among community members’ memories, is influenced by both individual-level information-processing phenomena and by the conversational social network structure created during conversational recall. By studying laboratory-created social networks, we show how large-scale social phenomena (i.e., collective memory) can emerge out of microlevel local dynamics (i.e., mnemonic reinforcement and suppression effects). The social-interactionist approach proposed herein points to optimal strategies for spreading information in social networks and provides a framework for measuring and forging collective memories in communities of individuals. PMID:27357678

Ubiquitousness of link-density and link-pattern communities in real-world networks

NASA Astrophysics Data System (ADS)

Šubelj, L.; Bajec, M.

2012-01-01

Community structure appears to be an intrinsic property of many complex real-world networks. However, recent work shows that real-world networks reveal even more sophisticated modules than classical cohesive (link-density) communities. In particular, networks can also be naturally partitioned according to similar patterns of connectedness among the nodes, revealing link-pattern communities. We here propose a propagation based algorithm that can extract both link-density and link-pattern communities, without any prior knowledge of the true structure. The algorithm was first validated on different classes of synthetic benchmark networks with community structure, and also on random networks. We have further applied the algorithm to different social, information, technological and biological networks, where it indeed reveals meaningful (composites of) link-density and link-pattern communities. The results thus seem to imply that, similarly as link-density counterparts, link-pattern communities appear ubiquitous in nature and design.

A FRAMEWORK FOR ATTRIBUTE-BASED COMMUNITY DETECTION WITH APPLICATIONS TO INTEGRATED FUNCTIONAL GENOMICS.

PubMed

Yu, Han; Hageman Blair, Rachael

2016-01-01

Understanding community structure in networks has received considerable attention in recent years. Detecting and leveraging community structure holds promise for understanding and potentially intervening with the spread of influence. Network features of this type have important implications in a number of research areas, including, marketing, social networks, and biology. However, an overwhelming majority of traditional approaches to community detection cannot readily incorporate information of node attributes. Integrating structural and attribute information is a major challenge. We propose a exible iterative method; inverse regularized Markov Clustering (irMCL), to network clustering via the manipulation of the transition probability matrix (aka stochastic flow) corresponding to a graph. Similar to traditional Markov Clustering, irMCL iterates between "expand" and "inflate" operations, which aim to strengthen the intra-cluster flow, while weakening the inter-cluster flow. Attribute information is directly incorporated into the iterative method through a sigmoid (logistic function) that naturally dampens attribute influence that is contradictory to the stochastic flow through the network. We demonstrate advantages and the exibility of our approach using simulations and real data. We highlight an application that integrates breast cancer gene expression data set and a functional network defined via KEGG pathways reveal significant modules for survival.

The National Biomedical Communications Network as a Developing Structure *

PubMed Central

Davis, Ruth M.

1971-01-01

The National Biomedical Communications Network has evolved both from a set of conceptual recommendations over the last twelve years and an accumulation of needs manifesting themselves in the requests of members of the medical community. With a short history of three years this network and its developing structure have exhibited most of the stresses of technology interfacing with customer groups, and of a structure attempting to build itself upon many existing fragmentary unconnected segments of a potentially viable resourcesharing capability. In addition to addressing these topics, the paper treats a design appropriate to any network devoted to information transfer in a special interest user community. It discusses fundamentals of network design, highlighting that network structure most appropriate to a national information network. Examples are given of cost analyses of information services and certain conjectures are offered concerning the roles of national networks. PMID:5542912

Social Structure of the Contact Situation: Rural Appalachia and Urban America. Appalachian Center Information Report 1.

ERIC Educational Resources Information Center

Schwarzweller, Harry K.; Brown, James S.

An investigation of the characteristic structuring of rural communities in Appalachia and the institutional channels for change which exist within such communities comprise this revised version of a paper read at the Extension Leaders Conference, Morgantown, West Virginia, 1968. Specifically, this essay discusses how education, the mass media,…

Birds of the major mainland rivers of southeast Alaska.

Treesearch

James A. Johnson; Brad A. Andres; John A. Bissonette

2008-01-01

This publication describes the bird communities of major mainland rivers of southeast Alaska and is based on a review of all known relevant studies as well as recent fieldwork. We synthesized information on the composition, structure, and habitat relationships of bird communities at 11 major mainland rivers. Information on current management concerns and research needs...

Historical changes in the structure and functioning of the benthic community in the lagoon of Venice

NASA Astrophysics Data System (ADS)

Pranovi, Fabio; Da Ponte, Filippo; Torricelli, Patrizia

2008-03-01

One of the main challenges in environmental management is how to manage the dynamics of natural environments. In this context, having information about historical changes of the structure of the biological communities could represent a useful tool to improve management strategies, contributing to refine the policy objectives, since it gives reference states with which to compare the present. The Venice lagoon represents an interesting case study, since it is a highly dynamic, but sensitive, environment which requires the adoption of prudent management. In its recent history the lagoon ecosystem has been exposed to different kinds of disturbance, from the discharge of pollutants and nutrients, to the invasion of alien species and the exploitation of its biological resources by using highly impacting fishing gears. The analysis of available data about the macro-benthic community, from 1935 to 2004, allows the description of changes of the community structure over almost 70 years, showing a sharp decrease in its diversity. In order to obtain information about its functioning, it is necessary to know how these changes have affected processes at the community and system level. In shallow water ecosystems, as the control is mainly due to the benthic compartment, variations in the structure of the benthic community can induce modifications in processes at different hierarchical levels. The trophic structure analysis has revealed major changes during the period; from a well-assorted structure in 1935, to an herbivore-detritivore dominated one in the 1990s, and finally to a filter feeder dominated structure during the last decade. This has produced variations in the secondary production and it has induced modifications in the type of the ecosystem control. These changes are discussed in the light of the dynamics of the main driving forces.

Virality Prediction and Community Structure in Social Networks

NASA Astrophysics Data System (ADS)

Weng, Lilian; Menczer, Filippo; Ahn, Yong-Yeol

2013-08-01

How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most memes indeed spread like complex contagions, a few viral memes spread across many communities, like diseases. We demonstrate that the future popularity of a meme can be predicted by quantifying its early spreading pattern in terms of community concentration. The more communities a meme permeates, the more viral it is. We present a practical method to translate data about community structure into predictive knowledge about what information will spread widely. This connection contributes to our understanding in computational social science, social media analytics, and marketing applications.

Virality Prediction and Community Structure in Social Networks

PubMed Central

Weng, Lilian; Menczer, Filippo; Ahn, Yong-Yeol

2013-01-01

How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most memes indeed spread like complex contagions, a few viral memes spread across many communities, like diseases. We demonstrate that the future popularity of a meme can be predicted by quantifying its early spreading pattern in terms of community concentration. The more communities a meme permeates, the more viral it is. We present a practical method to translate data about community structure into predictive knowledge about what information will spread widely. This connection contributes to our understanding in computational social science, social media analytics, and marketing applications. PMID:23982106

Virality prediction and community structure in social networks.

PubMed

Weng, Lilian; Menczer, Filippo; Ahn, Yong-Yeol

2013-01-01

How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most memes indeed spread like complex contagions, a few viral memes spread across many communities, like diseases. We demonstrate that the future popularity of a meme can be predicted by quantifying its early spreading pattern in terms of community concentration. The more communities a meme permeates, the more viral it is. We present a practical method to translate data about community structure into predictive knowledge about what information will spread widely. This connection contributes to our understanding in computational social science, social media analytics, and marketing applications.

Perspectives on utilization of community based health information systems in Western Kenya.

PubMed

Flora, Otieno Careena; Margaret, Kaseje; Dan, Kaseje

2017-01-01

Health information systems (HIS) are considered fundamental for the efficient delivery of high quality health care. However, a large number of legal and practical constraints influence the design and introduction of such systems. The inability to quantify and analyse situations with credible data and to use data in planning and managing service delivery plagues Africa. Establishing effective information systems and using this data for planning efficient health service delivery is essential to district health systems' performance improvement. Community Health Units in Kenya are central points for community data collection, analysis, dissemination and use. In Kenya, data tend to be collected for reporting purposes and not for decision-making at the point of collection. This paper describes the perspectives of local users on information use in various socio-economic contexts in Kenya. Information for this study was gathered through semi-structured interviews. The interviewees were purposefully selected from various community health units and public health facilities in the study area. The data were organized and analysed manually, grouping them into themes and categories. Information needs of the community included service utilization and health status information. Dialogue was the main way of information utilization in the community. However, health systems and personal challenges impeded proper collection and use of information. The challenges experienced in health information utilization may be overcome by linkages and coordination between the community and the health facilities. The personal challenges can be remedied using a motivational package that includes training of the Community Health Workers.

Mixture models with entropy regularization for community detection in networks

NASA Astrophysics Data System (ADS)

Chang, Zhenhai; Yin, Xianjun; Jia, Caiyan; Wang, Xiaoyang

2018-04-01

Community detection is a key exploratory tool in network analysis and has received much attention in recent years. NMM (Newman's mixture model) is one of the best models for exploring a range of network structures including community structure, bipartite and core-periphery structures, etc. However, NMM needs to know the number of communities in advance. Therefore, in this study, we have proposed an entropy regularized mixture model (called EMM), which is capable of inferring the number of communities and identifying network structure contained in a network, simultaneously. In the model, by minimizing the entropy of mixing coefficients of NMM using EM (expectation-maximization) solution, the small clusters contained little information can be discarded step by step. The empirical study on both synthetic networks and real networks has shown that the proposed model EMM is superior to the state-of-the-art methods.

Smart health community: the hidden value of health information exchange.

PubMed

Ciriello, James N; Kulatilaka, Nalin

2010-12-01

Investments in health information technology are accelerating the digitization of medicine. The value from these investments, however, can grow beyond efficiencies by filling the information gaps between the various stakeholders. New work processes, governance structures, and relationships are needed for the coevolution of healthcare markets and business models. But coevolution is slow, hindered by the scarcity of incentives for legacy delivery systems and constrained by the prevailing patient-healthcare paradigm. The greater opportunity lies in wellness for individuals, families, communities, and society at large: a consumer-community paradigm. Capturing new value from this opportunity can start with investment in health information exchange and the creation of Smart Health Communities. By shifting the focus of exchange from public servant to value-added service provider, these communities can serve as a platform for a wider array of wellness services from consumer care, traditional healthcare, and research.

Structure and inference in annotated networks

PubMed Central

Newman, M. E. J.; Clauset, Aaron

2016-01-01

For many networks of scientific interest we know both the connections of the network and information about the network nodes, such as the age or gender of individuals in a social network. Here we demonstrate how this ‘metadata' can be used to improve our understanding of network structure. We focus in particular on the problem of community detection in networks and develop a mathematically principled approach that combines a network and its metadata to detect communities more accurately than can be done with either alone. Crucially, the method does not assume that the metadata are correlated with the communities we are trying to find. Instead, the method learns whether a correlation exists and correctly uses or ignores the metadata depending on whether they contain useful information. We demonstrate our method on synthetic networks with known structure and on real-world networks, large and small, drawn from social, biological and technological domains. PMID:27306566

Structure and inference in annotated networks

NASA Astrophysics Data System (ADS)

Newman, M. E. J.; Clauset, Aaron

2016-06-01

For many networks of scientific interest we know both the connections of the network and information about the network nodes, such as the age or gender of individuals in a social network. Here we demonstrate how this `metadata' can be used to improve our understanding of network structure. We focus in particular on the problem of community detection in networks and develop a mathematically principled approach that combines a network and its metadata to detect communities more accurately than can be done with either alone. Crucially, the method does not assume that the metadata are correlated with the communities we are trying to find. Instead, the method learns whether a correlation exists and correctly uses or ignores the metadata depending on whether they contain useful information. We demonstrate our method on synthetic networks with known structure and on real-world networks, large and small, drawn from social, biological and technological domains.

Molecular ecology of aquatic communities: Reflections and future directions

USGS Publications Warehouse

Zehr, J.P.; Voytek, M.A.

1999-01-01

During the 1980s, many new molecular biology techniques were developed, providing new capabilities for studying the genetics and activities of organisms. Biologists and ecologists saw the promise that these techniques held for studying different aspects of organisms, both in culture and in the natural environment. In less than a decade, these techniques were adopted by a large number of researchers studying many types of organisms in diverse environments. Much of the molecular-level information acquired has been used to address questions of evolution, biogeography, population structure and biodiversity. At this juncture, molecular ecologists are poised to contribute to the study of the fundamental characteristics underlying aquatic community structure. The goal of this overview is to assess where we have been, where we are now and what the future holds for revealing the basis of community structure and function with molecular-level information.

DISTRIBUTED STRUCTURE-SEARCHABLE TOXICITY ...

EPA Pesticide Factsheets

The ability to assess the potential genotoxicity, carcinogenicity, or other toxicity of pharmaceutical or industrial chemicals based on chemical structure information is a highly coveted and shared goal of varied academic, commercial, and government regulatory groups. These diverse interests often employ different approaches and have different criteria and use for toxicity assessments, but they share a need for unrestricted access to existing public toxicity data linked with chemical structure information. Currently, there exists no central repository of toxicity information, commercial or public, that adequately meets the data requirements for flexible analogue searching, SAR model development, or building of chemical relational databases (CRD). The Distributed Structure-Searchable Toxicity (DSSTox) Public Database Network is being proposed as a community-supported, web-based effort to address these shared needs of the SAR and toxicology communities. The DSSTox project has the following major elements: 1) to adopt and encourage the use of a common standard file format (SDF) for public toxicity databases that includes chemical structure, text and property information, and that can easily be imported into available CRD applications; 2) to implement a distributed source approach, managed by a DSSTox Central Website, that will enable decentralized, free public access to structure-toxicity data files, and that will effectively link knowledgeable toxicity data s

Influence of elevation on bark beetle community structure in ponderosa pine stands of northern Arizona

Treesearch

Andrew Miller; Kelly Barton; Joel McMillin; Tom DeGomez; Karen Clancy; John Anhold

2008-01-01

(Please note, this is an abstract only) Bark beetles killed more than 20 million ponderosa pine trees in Arizona during 2002-2004. Historically, bark beetle populations remained endemic and ponderosa pine mortality was limited to localized areas in Arizona. Consequently, there is a lack of information on bark beetle community structure in ponderosa pine stands of...

Social and Structural Constraints on Disclosure and Informed Consent for HIV Survey Research Involving Female Sex Workers and their Bar Managers in the Philippines

PubMed Central

Urada, Lianne A.; Simmons, Janie

2014-01-01

This qualitative study explored the ethical issues of female sex workers’ (FSWs) participation in HIV prevention research. Twenty female bar/spa workers and 10 venue managers in the Philippines underwent individual semi-structured interviews; three community advisory board meetings informed the study design and interpretation of findings. Results: Informed consent was constrained by perceived government coercion and skepticism that research results would translate into community benefits. Disclosure was constrained by distrust in confidentiality and perceived intrusiveness of survey questions. FSWs and managers were frustrated by the government's inability to stop police from using condoms as evidence of prostitution. Findings suggest HIV interventions move beyond didactic prevention workshops to include FSWs in intervention design and implementation, and to reduce social and structural constraints on participation. PMID:24572081

Sources of Inequities in Rural America: Implications for Rural Community Development and Research. Community Development Research Series.

ERIC Educational Resources Information Center

Fujimoto, Isao; Zone, Martin

As part of a series prepared to acquaint small community officials with information on the latest community related research findings at the University of California at Davis, this monograph explicates the way in which tax structure, rural development assumptions, and even rural development policies and subsidies contribute to the inequities found…

The Needs and Resources of Drug Information at Community Pharmacies in Gondar Town, Northwest Ethiopia.

PubMed

Asmelashe Gelayee, Dessalegn; Binega Mekonnen, Gashaw; Birarra, Mequanent Kassa

2017-01-01

Community pharmacists are in a key position to provide information on drugs and thus promote the rational use of drugs. The present study was designed to determine the needs and resources of drug information in community pharmacies. A prospective institution based cross-sectional study was carried out and data were collected on 48 community pharmacists in Gondar, Northwest Ethiopia, using interviewer administered structured questionnaire. Almost all pharmacists ( N = 47, 97.9%) often receive drug related queries and these were mainly from consumers ( N = 41, 85.4%). While most questions relate to drug price ( N = 29, 60.4%) and dosage ( N = 21, 43.8%), the information resources mainly referred to were drug package inserts and national standard treatment guidelines. However, limited availability of information resources as well as limited ability to retrieve relevant information influenced the practice of pharmacists. Female pharmacists claimed better use of different information resources than males ( P < 0.05). Community pharmacists in Gondar, Northwest Ethiopia, are often accessed for drug related information. But there are limitations in using up to date and most reliable resources. Therefore, intervention aimed at improving pharmacists' access to and evaluation of drug information is urgently needed.

Coding Early Naturalists' Accounts into Long-Term Fish Community Changes in the Adriatic Sea (1800–2000)

PubMed Central

Fortibuoni, Tomaso; Libralato, Simone; Raicevich, Saša; Giovanardi, Otello; Solidoro, Cosimo

2010-01-01

The understanding of fish communities' changes over the past centuries has important implications for conservation policy and marine resource management. However, reconstructing these changes is difficult because information on marine communities before the second half of the 20th century is, in most cases, anecdotal and merely qualitative. Therefore, historical qualitative records and modern quantitative data are not directly comparable, and their integration for long-term analyses is not straightforward. We developed a methodology that allows the coding of qualitative information provided by early naturalists into semi-quantitative information through an intercalibration with landing proportions. This approach allowed us to reconstruct and quantitatively analyze a 200-year-long time series of fish community structure indicators in the Northern Adriatic Sea (Mediterranean Sea). Our analysis provides evidence of long-term changes in fish community structure, including the decline of Chondrichthyes, large-sized and late-maturing species. This work highlights the importance of broadening the time-frame through which we look at marine ecosystem changes and provides a methodology to exploit, in a quantitative framework, historical qualitative sources. To the purpose, naturalists' eyewitness accounts proved to be useful for extending the analysis on fish community back in the past, well before the onset of field-based monitoring programs. PMID:21103349

Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations.

PubMed

Almog, Assaf; Besamusca, Ferry; MacMahon, Mel; Garlaschelli, Diego

2015-01-01

The mesoscopic organization of complex systems, from financial markets to the brain, is an intermediate between the microscopic dynamics of individual units (stocks or neurons, in the mentioned cases), and the macroscopic dynamics of the system as a whole. The organization is determined by "communities" of units whose dynamics, represented by time series of activity, is more strongly correlated internally than with the rest of the system. Recent studies have shown that the binary projections of various financial and neural time series exhibit nontrivial dynamical features that resemble those of the original data. This implies that a significant piece of information is encoded into the binary projection (i.e. the sign) of such increments. Here, we explore whether the binary signatures of multiple time series can replicate the same complex community organization of the financial market, as the original weighted time series. We adopt a method that has been specifically designed to detect communities from cross-correlation matrices of time series data. Our analysis shows that the simpler binary representation leads to a community structure that is almost identical with that obtained using the full weighted representation. These results confirm that binary projections of financial time series contain significant structural information.

Evolutionary method for finding communities in bipartite networks.

PubMed

Zhan, Weihua; Zhang, Zhongzhi; Guan, Jihong; Zhou, Shuigeng

2011-06-01

An important step in unveiling the relation between network structure and dynamics defined on networks is to detect communities, and numerous methods have been developed separately to identify community structure in different classes of networks, such as unipartite networks, bipartite networks, and directed networks. Here, we show that the finding of communities in such networks can be unified in a general framework-detection of community structure in bipartite networks. Moreover, we propose an evolutionary method for efficiently identifying communities in bipartite networks. To this end, we show that both unipartite and directed networks can be represented as bipartite networks, and their modularity is completely consistent with that for bipartite networks, the detection of modular structure on which can be reformulated as modularity maximization. To optimize the bipartite modularity, we develop a modified adaptive genetic algorithm (MAGA), which is shown to be especially efficient for community structure detection. The high efficiency of the MAGA is based on the following three improvements we make. First, we introduce a different measure for the informativeness of a locus instead of the standard deviation, which can exactly determine which loci mutate. This measure is the bias between the distribution of a locus over the current population and the uniform distribution of the locus, i.e., the Kullback-Leibler divergence between them. Second, we develop a reassignment technique for differentiating the informative state a locus has attained from the random state in the initial phase. Third, we present a modified mutation rule which by incorporating related operations can guarantee the convergence of the MAGA to the global optimum and can speed up the convergence process. Experimental results show that the MAGA outperforms existing methods in terms of modularity for both bipartite and unipartite networks.

A New Framework for Addressing Adverse Childhood and Community Experiences: The Building Community Resilience Model.

PubMed

Ellis, Wendy R; Dietz, William H

We propose a transformative approach to foster collaboration across child health, public health, and community-based agencies to address the root causes of toxic stress and childhood adversity and to build community resilience. Physicians, members of social service agencies, and experts in toxic stress and adverse childhood experiences (ACEs) were interviewed to inform development of the Building Community Resilience (BCR) model. Through a series of key informant interviews and focus groups, we sought to understand the role of BCR for child health systems and their partners to reduce toxic stress and build community resilience to improve child health outcomes. Key informants indicated the intentional approach to ACEs and toxic stress through continuous quality improvement (data-driven decisions and program development, partners testing and adapting to changes to their needs, and iterative development and testing) which provides a mechanism by which social determinants or a population health approach could be introduced to physicians and community partners as part of a larger effort to build community resilience. Structured interviews also reveal a need for a framework that provides guidance, structure, and support for child health systems and community partners to develop collective goals, shared work plans, and a means for data-sharing to reinforce the components that will contribute to community resilience. Key informant interviews and focus group dialogues revealed a deep understanding of the factors related to toxic stress and ACEs. Respondents endorsed the BCR approach as a means to explore capacity issues, reduce fragmented health care delivery, and facilitate integrated systems across partners in efforts to build community resilience. Current financing models are seen as a potential barrier, because they often do not support restructured roles, partnership development, and the work to sustain upstream efforts to address toxic stress and community resilience. Copyright © 2017 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Biofouling community composition across a range of environmental conditions and geographical locations suitable for floating marine renewable energy generation.

PubMed

Macleod, Adrian K; Stanley, Michele S; Day, John G; Cook, Elizabeth J

2016-01-01

Knowledge of biofouling typical of marine structures is essential for engineers to define appropriate loading criteria in addition to informing other stakeholders about the ecological implications of creating novel artificial environments. There is a lack of information regarding biofouling community composition (including weight and density characteristics) on floating structures associated with future marine renewable energy generation technologies. A network of navigation buoys were identified across a range of geographical areas, environmental conditions (tidal flow speed, temperature and salinity), and deployment durations suitable for future developments. Despite the perceived importance of environmental and temporal factors, geographical location explained the greatest proportion of the observed variation in community composition, emphasising the importance of considering geography when assessing the impact of biofouling on device functioning and associated ecology. The principal taxa associated with variation in biofouling community composition were mussels (Mytilus edulis), which were also important when determining loading criteria.

Building a Digital Library from the Ground Up: an Examination of Emergent Information Resources in the Machine Learning Community

NASA Astrophysics Data System (ADS)

Cunningham, Sally Jo

The current crop of digital libraries for the computing community are strongly grounded in the conventional library paradigm: they provide indexes to support searching of collections of research papers. As such, these digital libraries are relatively impoverished; the present computing digital libraries omit many of the documents and resources that are currently available to computing researchers, and offer few browsing structures. These computing digital libraries were built 'top down': the resources and collection contents are forced to fit an existing digital library architecture. A 'bottom up' approach to digital library development would begin with an investigation of a community's information needs and available documents, and then design a library to organize those documents in such a way as to fulfill the community's needs. The 'home grown', informal information resources developed by and for the machine learning community are examined as a case study, to determine the types of information and document organizations 'native' to this group of researchers. The insights gained in this type of case study can be used to inform construction of a digital library tailored to this community.

Community Wise: paving the way for empowerment in community reentry.

PubMed

Windsor, Liliane Cambraia; Jemal, Alexis; Benoit, Ellen

2014-01-01

Theoretical approaches traditionally applied in mental health and criminal justice interventions fail to address the historical and structural context that partially explains health disparities. Community Wise was developed to address this gap. It is a 12week group intervention informed by Critical Consciousness Theory and designed to prevent substance abuse, related health risk behaviors, psychological distress, and reoffending among individuals with a history of incarceration and substance abuse. This paper reports findings from the first implementation and pilot evaluation of Community Wise in two community-based organizations. This pre-posttest evaluation pilot-tested Community Wise and used findings to improve the intervention. Twenty-six participants completed a phone and clinical screening, baseline, 6- and 12-week follow-ups, and a focus group at the end of the intervention. Measures assessed participants' demographic information, psychological distress, substance use, criminal offending, HIV risk behaviors, community cohesion, community support, civic engagement, critical consciousness, ethnic identification, group cohesion, client satisfaction, and acquired treatment skills. Research methods were found to be feasible and useful in assessing the intervention. Results indicated that while Community Wise is a promising intervention, several changes need to be made in order to enhance the intervention. Community Wise is a new approach where oppressed individuals join in critical dialogue, tap into existing community resources, and devise, implement and evaluate their own community solutions to structural barriers. Copyright © 2014 Elsevier Ltd. All rights reserved.

Adapting to psychiatric disability and needs for home- and community-based care.

PubMed

Green, Carla A; Vuckovic, Nancy H; Firemark, Alison J

2002-03-01

The objective of the study was to describe adaptation strategies and use of formal and informal support by individuals with psychiatric disabilities, to delineate remaining needs, and to determine how home- and community-based services might address those needs. Using in-depth interviews and structured questionnaires, we examined functional status, adaptation, and needs for home- and community-based care among 33 severely mentally ill members of a large health maintenance organization. Despite success in community living, participants had significant functional deficits (physical and emotional), relied heavily on only one or two key informal caregivers, and often needed significant support from mental health professionals. Limited numbers of caregivers and social isolation placed participants at risk of negative outcomes if informal support resources were to be lost. Home- and community-based care interventions that attempt to increase informal support networks and provide instrumental help (cooking, cleaning, transport) on short notice during flare-ups could augment existing (but limited) informal caregiving, help severely mentally ill individuals remain independent, and reduce the likelihood that loss of an informal caregiver would result in unwanted outcomes.

Perspectives on utilization of community based health information systems in Western Kenya

PubMed Central

Flora, Otieno Careena; Margaret, Kaseje; Dan, Kaseje

2017-01-01

Introduction Health information systems (HIS) are considered fundamental for the efficient delivery of high quality health care. However, a large number of legal and practical constraints influence the design and introduction of such systems. The inability to quantify and analyse situations with credible data and to use data in planning and managing service delivery plagues Africa. Establishing effective information systems and using this data for planning efficient health service delivery is essential to district health systems' performance improvement. Community Health Units in Kenya are central points for community data collection, analysis, dissemination and use. In Kenya, data tend to be collected for reporting purposes and not for decision-making at the point of collection. This paper describes the perspectives of local users on information use in various socio-economic contexts in Kenya. Methods Information for this study was gathered through semi-structured interviews. The interviewees were purposefully selected from various community health units and public health facilities in the study area. The data were organized and analysed manually, grouping them into themes and categories. Results Information needs of the community included service utilization and health status information. Dialogue was the main way of information utilization in the community. However, health systems and personal challenges impeded proper collection and use of information. Conclusion The challenges experienced in health information utilization may be overcome by linkages and coordination between the community and the health facilities. The personal challenges can be remedied using a motivational package that includes training of the Community Health Workers. PMID:28904707

Active link selection for efficient semi-supervised community detection

NASA Astrophysics Data System (ADS)

Yang, Liang; Jin, Di; Wang, Xiao; Cao, Xiaochun

2015-03-01

Several semi-supervised community detection algorithms have been proposed recently to improve the performance of traditional topology-based methods. However, most of them focus on how to integrate supervised information with topology information; few of them pay attention to which information is critical for performance improvement. This leads to large amounts of demand for supervised information, which is expensive or difficult to obtain in most fields. For this problem we propose an active link selection framework, that is we actively select the most uncertain and informative links for human labeling for the efficient utilization of the supervised information. We also disconnect the most likely inter-community edges to further improve the efficiency. Our main idea is that, by connecting uncertain nodes to their community hubs and disconnecting the inter-community edges, one can sharpen the block structure of adjacency matrix more efficiently than randomly labeling links as the existing methods did. Experiments on both synthetic and real networks demonstrate that our new approach significantly outperforms the existing methods in terms of the efficiency of using supervised information. It needs ~13% of the supervised information to achieve a performance similar to that of the original semi-supervised approaches.

Active link selection for efficient semi-supervised community detection

PubMed Central

Yang, Liang; Jin, Di; Wang, Xiao; Cao, Xiaochun

2015-01-01

Several semi-supervised community detection algorithms have been proposed recently to improve the performance of traditional topology-based methods. However, most of them focus on how to integrate supervised information with topology information; few of them pay attention to which information is critical for performance improvement. This leads to large amounts of demand for supervised information, which is expensive or difficult to obtain in most fields. For this problem we propose an active link selection framework, that is we actively select the most uncertain and informative links for human labeling for the efficient utilization of the supervised information. We also disconnect the most likely inter-community edges to further improve the efficiency. Our main idea is that, by connecting uncertain nodes to their community hubs and disconnecting the inter-community edges, one can sharpen the block structure of adjacency matrix more efficiently than randomly labeling links as the existing methods did. Experiments on both synthetic and real networks demonstrate that our new approach significantly outperforms the existing methods in terms of the efficiency of using supervised information. It needs ~13% of the supervised information to achieve a performance similar to that of the original semi-supervised approaches. PMID:25761385

Organization of Higher Education Structures in Europe (1998-99). EURYDICE Focus.

ERIC Educational Resources Information Center

EURYDICE European Unit, Brussels (Belgium).

This publication is the first in a new series which aims to illuminate particular aspects of European education systems. This document is devoted to basic information on the structures and organization of higher education in all countries taking part in "Socrates," the EURYDICE (Education Information Network in the European Community)…

An edge-centric perspective on the human connectome: link communities in the brain.

PubMed

de Reus, Marcel A; Saenger, Victor M; Kahn, René S; van den Heuvel, Martijn P

2014-10-05

Brain function depends on efficient processing and integration of information within a complex network of neural interactions, known as the connectome. An important aspect of connectome architecture is the existence of community structure, providing an anatomical basis for the occurrence of functional specialization. Typically, communities are defined as groups of densely connected network nodes, representing clusters of brain regions. Looking at the connectome from a different perspective, instead focusing on the interconnecting links or edges, we find that the white matter pathways between brain regions also exhibit community structure. Eleven link communities were identified: five spanning through the midline fissure, three through the left hemisphere and three through the right hemisphere. We show that these link communities are consistently identifiable and investigate the network characteristics of their underlying white matter pathways. Furthermore, examination of the relationship between link communities and brain regions revealed that the majority of brain regions participate in multiple link communities. In particular, the highly connected and central hub regions showed a rich level of community participation, supporting the notion that these hubs play a pivotal role as confluence zones in which neural information from different domains merges. © 2014 The Author(s) Published by the Royal Society. All rights reserved.

Social contagions on time-varying community networks

NASA Astrophysics Data System (ADS)

Liu, Mian-Xin; Wang, Wei; Liu, Ying; Tang, Ming; Cai, Shi-Min; Zhang, Hai-Feng

2017-05-01

Time-varying community structures exist widely in real-world networks. However, previous studies on the dynamics of spreading seldom took this characteristic into account, especially those on social contagions. To study the effects of time-varying community structures on social contagions, we propose a non-Markovian social contagion model on time-varying community networks based on the activity-driven network model. A mean-field theory is developed to analyze the proposed model. Through theoretical analyses and numerical simulations, two hierarchical features of the behavior adoption processes are found. That is, when community strength is relatively large, the behavior can easily spread in one of the communities, while in the other community the spreading only occurs at higher behavioral information transmission rates. Meanwhile, in spatial-temporal evolution processes, hierarchical orders are observed for the behavior adoption. Moreover, under different information transmission rates, three distinctive patterns are demonstrated in the change of the whole network's final adoption proportion along with the growing community strength. Within a suitable range of transmission rate, an optimal community strength can be found that can maximize the final adoption proportion. Finally, compared with the average activity potential, the promoting or inhibiting of social contagions is much more influenced by the number of edges generated by active nodes.

Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks

PubMed Central

Ma, Jingjing; Liu, Jie; Ma, Wenping; Gong, Maoguo; Jiao, Licheng

2014-01-01

Community structure is one of the most important properties in social networks. In dynamic networks, there are two conflicting criteria that need to be considered. One is the snapshot quality, which evaluates the quality of the community partitions at the current time step. The other is the temporal cost, which evaluates the difference between communities at different time steps. In this paper, we propose a decomposition-based multiobjective community detection algorithm to simultaneously optimize these two objectives to reveal community structure and its evolution in dynamic networks. It employs the framework of multiobjective evolutionary algorithm based on decomposition to simultaneously optimize the modularity and normalized mutual information, which quantitatively measure the quality of the community partitions and temporal cost, respectively. A local search strategy dealing with the problem-specific knowledge is incorporated to improve the effectiveness of the new algorithm. Experiments on computer-generated and real-world networks demonstrate that the proposed algorithm can not only find community structure and capture community evolution more accurately, but also be steadier than the two compared algorithms. PMID:24723806

Decomposition-based multiobjective evolutionary algorithm for community detection in dynamic social networks.

PubMed

Ma, Jingjing; Liu, Jie; Ma, Wenping; Gong, Maoguo; Jiao, Licheng

2014-01-01

Community structure is one of the most important properties in social networks. In dynamic networks, there are two conflicting criteria that need to be considered. One is the snapshot quality, which evaluates the quality of the community partitions at the current time step. The other is the temporal cost, which evaluates the difference between communities at different time steps. In this paper, we propose a decomposition-based multiobjective community detection algorithm to simultaneously optimize these two objectives to reveal community structure and its evolution in dynamic networks. It employs the framework of multiobjective evolutionary algorithm based on decomposition to simultaneously optimize the modularity and normalized mutual information, which quantitatively measure the quality of the community partitions and temporal cost, respectively. A local search strategy dealing with the problem-specific knowledge is incorporated to improve the effectiveness of the new algorithm. Experiments on computer-generated and real-world networks demonstrate that the proposed algorithm can not only find community structure and capture community evolution more accurately, but also be steadier than the two compared algorithms.

Asthma patient education opportunities in predominantly minority urban communities.

PubMed

Zayas, Luis E; McLean, Don

2007-12-01

Disenfranchised ethnic minority communities in the urban United States experience a high burden of asthma. Conventional office-based patient education often is insufficient to promote proper asthma management and coping practices responsive to minority patients' environments. This paper explores existing and alternative asthma information and education sources in three urban minority communities in western New York State to help design other practical educational interventions. Four focus groups (n = 59) and four town hall meetings (n = 109) were conducted in one Hispanic and two black communities. Focus groups included adult asthmatics or caretakers of asthmatics, and town meetings were open to all residents. A critical theory perspective informed the study. Asthma information and education sources, perceptions of asthma and ways of coping were elicited through semi-structured interviews. Data analysis followed a theory-driven immersion-crystallization approach. Several asthma education and information resources from the health care system, media, public institutions and communities were identified. Intervention recommendations highlighted asthma workshops that recognize participants as teachers and learners, offer social support, promote advocacy, are culturally appropriate and community-based and include health care professionals. Community-based, group health education couched on people's experiences and societal conditions offers unique opportunities for patient asthma care empowerment in minority urban communities.

Community sensitization and decision-making for trial participation: a mixed-methods study from The Gambia.

PubMed

Dierickx, Susan; O'Neill, Sarah; Gryseels, Charlotte; Immaculate Anyango, Edna; Bannister-Tyrrell, Melanie; Okebe, Joseph; Mwesigwa, Julia; Jaiteh, Fatou; Gerrets, René; Ravinetto, Raffaella; D'Alessandro, Umberto; Peeters Grietens, Koen

2017-08-16

Ensuring individual free and informed decision-making for research participation is challenging. It is thought that preliminarily informing communities through 'community sensitization' procedures may improve individual decision-making. This study set out to assess the relevance of community sensitization for individual decision-making in research participation in rural Gambia. This anthropological mixed-methods study triangulated qualitative methods and quantitative survey methods in the context of an observational study and a clinical trial on malaria carried out by the Medical Research Council Unit Gambia. Although 38.7% of the respondents were present during sensitization sessions, 91.1% of the respondents were inclined to participate in the trial when surveyed after the sensitization and prior to the informed consent process. This difference can be explained by the informal transmission of information within the community after the community sensitization, expectations such as the benefits of participation based on previous research experiences, and the positive reputation of the research institute. Commonly mentioned barriers to participation were blood sampling and the potential disapproval of the household head. Community sensitization is effective in providing first-hand, reliable information to communities as the information is cascaded to those who could not attend the sessions. However, further research is needed to assess how the informal spread of information further shapes people's expectations, how the process engages with existing social relations and hierarchies (e.g. local political power structures; permissions of heads of households) and how this influences or changes individual consent. © 2017 The Authors Developing World Bioethics Published by John Wiley & Sons Ltd.

The Fundamentals of Community College Fund Raising.

ERIC Educational Resources Information Center

Brumbach, Mary A.; Bumphus, Walter G.

1993-01-01

Presents a guide for community college fund raising. Discusses organizational principles and structural models; operational concerns such as stewardship of funds, information dissemination, and donor research; and the importance of presidential support, institutional reputation and environment, and experienced grants managers. Includes practical…

Molecular Survey of Concrete Sewer Biofilm Microbial Communities

EPA Science Inventory

Although bacteria are implicated in deteriorating concrete structures, there is very little information on the composition of concrete microbial communities. To this end, we studied different concrete biofilms by performing sequence analysis of 16S rDNA concrete clone libraries. ...

Comparison of natural and nonnative two-species communities of Anolis lizards.

PubMed

Poe, Steven

2014-07-01

Human-mediated colonizations present an informative model system for understanding assembly of organismal communities. However, it is unclear whether communities including naturalized species are accurate analogs of natural communities or unique combinations not present in nature. I compared morphology and phylogenetic structure of natural and naturalized two-species communities of Anolis lizards. Natural communities are phylogenetically clustered, whereas naturalized communities show no significant phylogenetic structure. This result likely reflects differences in colonization pools for these communities-that is, invasion from anywhere for naturalized communities but from proximal and thus phylogenetically close lineages in natural communities. Both natural and naturalized communities each include pairs of species that are significantly similar to each other in morphology, and both sets of communities are composed of species that possess traits of good colonizers. These similarities suggest that the formation of natural and naturalized communities may be at least partially governed by similar processes. Human-mediated invasions may be credibly viewed as modern incarnations of natural colonizations in this case.

Harnessing health information to foster disadvantaged teens' community engagement, leadership skills, and career plans: a qualitative evaluation of the Teen Health Leadership Program.

PubMed

Keselman, Alla; Ahmed, Einas A; Williamson, Deborah C; Kelly, Janice E; Dutcher, Gale A

2015-04-01

This paper describes a qualitative evaluation of a small-scale program aiming to improve health information literacy, leadership skills, and interest in health careers among high school students in a low-income, primarily minority community. Graduates participated in semi-structured interviews, transcripts of which were coded with a combination of objectives-driven and data-driven categories. The program had a positive impact on the participants' health information competency, leadership skills, academic orientation, and interest in health careers. Program enablers included a supportive network of adults, novel experiences, and strong mentorship. The study suggests that health information can provide a powerful context for enabling disadvantaged students' community engagement and academic success.

Structural Preferential Attachment: Network Organization beyond the Link

NASA Astrophysics Data System (ADS)

Hébert-Dufresne, Laurent; Allard, Antoine; Marceau, Vincent; Noël, Pierre-André; Dubé, Louis J.

2011-10-01

We introduce a mechanism which models the emergence of the universal properties of complex networks, such as scale independence, modularity and self-similarity, and unifies them under a scale-free organization beyond the link. This brings a new perspective on network organization where communities, instead of links, are the fundamental building blocks of complex systems. We show how our simple model can reproduce social and information networks by predicting their community structure and more importantly, how their nodes or communities are interconnected, often in a self-similar manner.

Function Model for Community Health Service Information

NASA Astrophysics Data System (ADS)

Yang, Peng; Pan, Feng; Liu, Danhong; Xu, Yongyong

In order to construct a function model of community health service (CHS) information for development of CHS information management system, Integration Definition for Function Modeling (IDEF0), an IEEE standard which is extended from Structured Analysis and Design(SADT) and now is a widely used function modeling method, was used to classifying its information from top to bottom. The contents of every level of the model were described and coded. Then function model for CHS information, which includes 4 super-classes, 15 classes and 28 sub-classed of business function, 43 business processes and 168 business activities, was established. This model can facilitate information management system development and workflow refinement.

Women, Violence and Informal Learning. NALL Working Paper.

ERIC Educational Resources Information Center

Mojab, Shahrzad; McDonald, Susan

A comparative study of the impact of violence on immigrant women's learning was conducted among immigrant women of two communities in the Toronto area: the Spanish-speaking community and the Kurds. The two authors of the study each worked with one of the communities in which they had knowledge of the language. An in-depth, non-structured,…

Rural Community Resources as a Guidance Tool: An Action Plan.

ERIC Educational Resources Information Center

Robinson, Graydon, Ed.

The Community Centered School Support Program, also known as the Bingham Project, is not a new idea but rather a more structured application of an old concept. The plan assists small rural schools with inadequate guidance funds to establish a career information program at a minimum cost using the community, a heretofore untapped resource. The…

Assessing the effects of pharmacists' perceived organizational support, organizational commitment and turnover intention on provision of medication information at community pharmacies in Lithuania: a structural equation modeling approach.

PubMed

Urbonas, Gvidas; Kubilienė, Loreta; Kubilius, Raimondas; Urbonienė, Aušra

2015-03-01

As a member of a pharmacy organization, a pharmacist is not only bound to fulfill his/her professional obligations but is also affected by different personal and organizational factors that may influence his/her behavior and, consequently, the quality of the services he/she provides to patients. The main purpose of the research was to test a hypothesized model of the relationships among several organizational variables, and to investigate whether any of these variables affects the service of provision of medication information at community pharmacies. During the survey, pharmacists working at community pharmacies in Lithuania were asked to express their opinions on the community pharmacies at which they worked and to reflect on their actions when providing information on medicines to their patients. The statistical data were analyzed by applying a structural equation modeling technique to test the hypothesized model of the relationships among the variables of Perceived Organizational Support, Organizational Commitment, Turnover Intention, and Provision of Medication Information. The final model revealed that Organizational Commitment had a positive direct effect on Provision of Medication Information (standardized estimate = 0.27) and a negative direct effect (standardized estimate = -0.66) on Turnover Intention. Organizational Commitment mediated the indirect effects of Perceived Organizational Support on Turnover Intention (standardized estimate = -0.48) and on Provision of Medication Information (standardized estimate = 0.20). Pharmacists' Turnover Intention had no significant effect on Provision of Medication Information. Community pharmacies may be viewed as encouraging, to some extent, the service of provision of medication information. Pharmacists who felt higher levels of support from their organizations also expressed, to a certain extent, higher commitment to their organizations by providing more consistent medication information to patients. However, the effect of organizational variables on the variable of Provision of Medication Information appeared to be limited.

The Needs and Resources of Drug Information at Community Pharmacies in Gondar Town, Northwest Ethiopia

PubMed Central

Birarra, Mequanent Kassa

2017-01-01

Background Community pharmacists are in a key position to provide information on drugs and thus promote the rational use of drugs. Objectives The present study was designed to determine the needs and resources of drug information in community pharmacies. Methods A prospective institution based cross-sectional study was carried out and data were collected on 48 community pharmacists in Gondar, Northwest Ethiopia, using interviewer administered structured questionnaire. Results Almost all pharmacists (N = 47, 97.9%) often receive drug related queries and these were mainly from consumers (N = 41, 85.4%). While most questions relate to drug price (N = 29, 60.4%) and dosage (N = 21, 43.8%), the information resources mainly referred to were drug package inserts and national standard treatment guidelines. However, limited availability of information resources as well as limited ability to retrieve relevant information influenced the practice of pharmacists. Female pharmacists claimed better use of different information resources than males (P < 0.05). Conclusions Community pharmacists in Gondar, Northwest Ethiopia, are often accessed for drug related information. But there are limitations in using up to date and most reliable resources. Therefore, intervention aimed at improving pharmacists' access to and evaluation of drug information is urgently needed. PMID:28951876

Improvement of the SEP protocol based on community structure of node degree

NASA Astrophysics Data System (ADS)

Li, Donglin; Wei, Suyuan

2017-05-01

Analyzing the Stable election protocol (SEP) in wireless sensor networks and aiming at the problem of inhomogeneous cluster-heads distribution and unreasonable cluster-heads selectivity and single hop transmission in the SEP, a SEP Protocol based on community structure of node degree (SEP-CSND) is proposed. In this algorithm, network node deployed by using grid deployment model, and the connection between nodes established by setting up the communication threshold. The community structure constructed by node degree, then cluster head is elected in the community structure. On the basis of SEP, the node's residual energy and node degree is added in cluster-heads election. The information is transmitted with mode of multiple hops between network nodes. The simulation experiments showed that compared to the classical LEACH and SEP, this algorithm balances the energy consumption of the entire network and significantly prolongs network lifetime.

Surveying traffic congestion based on the concept of community structure of complex networks

NASA Astrophysics Data System (ADS)

Ma, Lili; Zhang, Zhanli; Li, Meng

2016-07-01

In this paper, taking the traffic of Beijing city as an instance, we study city traffic states, especially traffic congestion, based on the concept of network community structure. Concretely, using the floating car data (FCD) information of vehicles gained from the intelligent transport system (ITS) of the city, we construct a new traffic network model which is with floating cars as network nodes and time-varying. It shows that this traffic network has Gaussian degree distributions at different time points. Furthermore, compared with free traffic situations, our simulations show that the traffic network generally has more obvious community structures with larger values of network fitness for congested traffic situations, and through the GPSspg web page, we show that all of our results are consistent with the reality. Then, it indicates that network community structure should be an available way for investigating city traffic congestion problems.

Estimating carnivore community structures

PubMed Central

Jiménez, José; Nuñez-Arjona, Juan Carlos; Rueda, Carmen; González, Luis Mariano; García-Domínguez, Francisco; Muñoz-Igualada, Jaime; López-Bao, José Vicente

2017-01-01

Obtaining reliable estimates of the structure of carnivore communities is of paramount importance because of their ecological roles, ecosystem services and impact on biodiversity conservation, but they are still scarce. This information is key for carnivore management: to build support for and acceptance of management decisions and policies it is crucial that those decisions are based on robust and high quality information. Here, we combined camera and live-trapping surveys, as well as telemetry data, with spatially-explicit Bayesian models to show the usefulness of an integrated multi-method and multi-model approach to monitor carnivore community structures. Our methods account for imperfect detection and effectively deal with species with non-recognizable individuals. In our Mediterranean study system, the terrestrial carnivore community was dominated by red foxes (0.410 individuals/km2); Egyptian mongooses, feral cats and stone martens were similarly abundant (0.252, 0.249 and 0.240 individuals/km2, respectively), whereas badgers and common genets were the least common (0.130 and 0.087 individuals/km2, respectively). The precision of density estimates improved by incorporating multiple covariates, device operation, and accounting for the removal of individuals. The approach presented here has substantial implications for decision-making since it allows, for instance, the evaluation, in a standard and comparable way, of community responses to interventions. PMID:28120871

Community Detection in Complex Networks via Clique Conductance.

PubMed

Lu, Zhenqi; Wahlström, Johan; Nehorai, Arye

2018-04-13

Network science plays a central role in understanding and modeling complex systems in many areas including physics, sociology, biology, computer science, economics, politics, and neuroscience. One of the most important features of networks is community structure, i.e., clustering of nodes that are locally densely interconnected. Communities reveal the hierarchical organization of nodes, and detecting communities is of great importance in the study of complex systems. Most existing community-detection methods consider low-order connection patterns at the level of individual links. But high-order connection patterns, at the level of small subnetworks, are generally not considered. In this paper, we develop a novel community-detection method based on cliques, i.e., local complete subnetworks. The proposed method overcomes the deficiencies of previous similar community-detection methods by considering the mathematical properties of cliques. We apply the proposed method to computer-generated graphs and real-world network datasets. When applied to networks with known community structure, the proposed method detects the structure with high fidelity and sensitivity. When applied to networks with no a priori information regarding community structure, the proposed method yields insightful results revealing the organization of these complex networks. We also show that the proposed method is guaranteed to detect near-optimal clusters in the bipartition case.

Community-based health and schools of nursing: supporting health promotion and research.

PubMed

Shannon, Crystal

2014-01-01

This article examines the role of community-based schools of nursing in the promotion of public health and research in poverty-stricken areas. This was a three-phase study (questionnaire and key-informants' interviews) that surveyed representatives of prelicensure associate and baccalaureate nursing schools (n=17), nursing-school key informants (n=6) and community leaders (n=10). A 13-question web-based survey and semi-structured interview of key informants elicited data on demographics, nursing program design, exposure of faculty and students to various research and health promotion methods, and beliefs about student involvement. Nursing schools participated minimally in community-based health promotion (CBHP) and community-based participatory research saw reduced need for student involvement in such activities, cited multiple barriers to active community collaboration, and reported restricted community partnerships. CBHP was recognized to be a valuable element of health care and student education, but is obstructed by many barriers. This study suggests that nursing schools are not taking full advantage of relationships with community leaders. Recommendations for action are given. © 2013 Wiley Periodicals, Inc.

Community detection in sequence similarity networks based on attribute clustering

DOE PAGES

Chowdhary, Janamejaya; Loeffler, Frank E.; Smith, Jeremy C.

2017-07-24

Networks are powerful tools for the presentation and analysis of interactions in multi-component systems. A commonly studied mesoscopic feature of networks is their community structure, which arises from grouping together similar nodes into one community and dissimilar nodes into separate communities. Here in this paper, the community structure of protein sequence similarity networks is determined with a new method: Attribute Clustering Dependent Communities (ACDC). Sequence similarity has hitherto typically been quantified by the alignment score or its expectation value. However, pair alignments with the same score or expectation value cannot thus be differentiated. To overcome this deficiency, the method constructs,more » for pair alignments, an extended alignment metric, the link attribute vector, which includes the score and other alignment characteristics. Rescaling components of the attribute vectors qualitatively identifies a systematic variation of sequence similarity within protein superfamilies. The problem of community detection is then mapped to clustering the link attribute vectors, selection of an optimal subset of links and community structure refinement based on the partition density of the network. ACDC-predicted communities are found to be in good agreement with gold standard sequence databases for which the "ground truth" community structures (or families) are known. ACDC is therefore a community detection method for sequence similarity networks based entirely on pair similarity information. A serial implementation of ACDC is available from https://cmb.ornl.gov/resources/developments« less

Community detection in sequence similarity networks based on attribute clustering

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

Chowdhary, Janamejaya; Loeffler, Frank E.; Smith, Jeremy C.

Networks are powerful tools for the presentation and analysis of interactions in multi-component systems. A commonly studied mesoscopic feature of networks is their community structure, which arises from grouping together similar nodes into one community and dissimilar nodes into separate communities. Here in this paper, the community structure of protein sequence similarity networks is determined with a new method: Attribute Clustering Dependent Communities (ACDC). Sequence similarity has hitherto typically been quantified by the alignment score or its expectation value. However, pair alignments with the same score or expectation value cannot thus be differentiated. To overcome this deficiency, the method constructs,more » for pair alignments, an extended alignment metric, the link attribute vector, which includes the score and other alignment characteristics. Rescaling components of the attribute vectors qualitatively identifies a systematic variation of sequence similarity within protein superfamilies. The problem of community detection is then mapped to clustering the link attribute vectors, selection of an optimal subset of links and community structure refinement based on the partition density of the network. ACDC-predicted communities are found to be in good agreement with gold standard sequence databases for which the "ground truth" community structures (or families) are known. ACDC is therefore a community detection method for sequence similarity networks based entirely on pair similarity information. A serial implementation of ACDC is available from https://cmb.ornl.gov/resources/developments« less

A Stochastic Model for Detecting Overlapping and Hierarchical Community Structure

PubMed Central

Cao, Xiaochun; Wang, Xiao; Jin, Di; Guo, Xiaojie; Tang, Xianchao

2015-01-01

Community detection is a fundamental problem in the analysis of complex networks. Recently, many researchers have concentrated on the detection of overlapping communities, where a vertex may belong to more than one community. However, most current methods require the number (or the size) of the communities as a priori information, which is usually unavailable in real-world networks. Thus, a practical algorithm should not only find the overlapping community structure, but also automatically determine the number of communities. Furthermore, it is preferable if this method is able to reveal the hierarchical structure of networks as well. In this work, we firstly propose a generative model that employs a nonnegative matrix factorization (NMF) formulization with a l2,1 norm regularization term, balanced by a resolution parameter. The NMF has the nature that provides overlapping community structure by assigning soft membership variables to each vertex; the l2,1 regularization term is a technique of group sparsity which can automatically determine the number of communities by penalizing too many nonempty communities; and hence the resolution parameter enables us to explore the hierarchical structure of networks. Thereafter, we derive the multiplicative update rule to learn the model parameters, and offer the proof of its correctness. Finally, we test our approach on a variety of synthetic and real-world networks, and compare it with some state-of-the-art algorithms. The results validate the superior performance of our new method. PMID:25822148

Co-acclimation of bacterial communities under stresses of hydrocarbons with different structures

PubMed Central

Wang, Hui; Wang, Bin; Dong, Wenwen; Hu, Xiaoke

2016-01-01

Crude oil is a complex mixture of hydrocarbons with different structures; its components vary in bioavailability and toxicity. It is important to understand how bacterial communities response to different hydrocarbons and their co-acclimation in the process of degradation. In this study, microcosms with the addition of structurally different hydrocarbons were setup to investigate the successions of bacterial communities and the interactions between different bacterial taxa. Hydrocarbons were effectively degraded in all microcosms after 40 days. High-throughput sequencing offered a great quantity of data for analyzing successions of bacterial communities. The results indicated that the bacterial communities responded dramatically different to various hydrocarbons. KEGG database and PICRUSt were applied to predict functions of individual bacterial taxa and networks were constructed to analyze co-acclimations between functional bacterial groups. Almost all functional genes catalyzing degradation of different hydrocarbons were predicted in bacterial communities. Most of bacterial taxa were believed to conduct biodegradation processes via interactions with each other. This study addressed a few investigated area of bacterial community responses to structurally different organic pollutants and their co-acclimation and interactions in the process of biodegradation. The study could provide useful information to guide the bioremediation of crude oil pollution. PMID:27698451

Web 2.0 systems supporting childhood chronic disease management: design guidelines based on information behaviour and social learning theories.

PubMed

Ekberg, Joakim; Ericson, Leni; Timpka, Toomas; Eriksson, Henrik; Nordfeldt, Sam; Hanberger, Lena; Ludvigsson, Johnny

2010-04-01

Self-directed learning denotes that the individual is in command of what should be learned and why it is important. In this study, guidelines for the design of Web 2.0 systems for supporting diabetic adolescents' every day learning needs are examined in light of theories about information behaviour and social learning. A Web 2.0 system was developed to support a community of practice and social learning structures were created to support building of relations between members on several levels in the community. The features of the system included access to participation in the culture of diabetes management practice, entry to information about the community and about what needs to be learned to be a full practitioner or respected member in the community, and free sharing of information, narratives and experience-based knowledge. After integration with the key elements derived from theories of information behaviour, a preliminary design guideline document was formulated.

Community structure from spectral properties in complex networks

NASA Astrophysics Data System (ADS)

Servedio, V. D. P.; Colaiori, F.; Capocci, A.; Caldarelli, G.

2005-06-01

We analyze the spectral properties of complex networks focusing on their relation to the community structure, and develop an algorithm based on correlations among components of different eigenvectors. The algorithm applies to general weighted networks, and, in a suitably modified version, to the case of directed networks. Our method allows to correctly detect communities in sharply partitioned graphs, however it is useful to the analysis of more complex networks, without a well defined cluster structure, as social and information networks. As an example, we test the algorithm on a large scale data-set from a psychological experiment of free word association, where it proves to be successful both in clustering words, and in uncovering mental association patterns.

An efficient semi-supervised community detection framework in social networks.

PubMed

Li, Zhen; Gong, Yong; Pan, Zhisong; Hu, Guyu

2017-01-01

Community detection is an important tasks across a number of research fields including social science, biology, and physics. In the real world, topology information alone is often inadequate to accurately find out community structure due to its sparsity and noise. The potential useful prior information such as pairwise constraints which contain must-link and cannot-link constraints can be obtained from domain knowledge in many applications. Thus, combining network topology with prior information to improve the community detection accuracy is promising. Previous methods mainly utilize the must-link constraints while cannot make full use of cannot-link constraints. In this paper, we propose a semi-supervised community detection framework which can effectively incorporate two types of pairwise constraints into the detection process. Particularly, must-link and cannot-link constraints are represented as positive and negative links, and we encode them by adding different graph regularization terms to penalize closeness of the nodes. Experiments on multiple real-world datasets show that the proposed framework significantly improves the accuracy of community detection.

Community investment in wind farms: funding structure effects in wind energy infrastructure development.

PubMed

Beery, Joshua A; Day, Jennifer E

2015-03-03

Wind energy development is an increasingly popular form of renewable energy infrastructure in rural areas. Communities generally perceive socioeconomic benefits accrue and that community funding structures are preferable to corporate structures, yet lack supporting quantitative data to inform energy policy. This study uses the Everpower wind development, to be located in Midwestern Ohio, as a hypothetical modeling environment to identify and examine socioeconomic impact trends arising from corporate, community and diversified funding structures. Analysis of five National Renewable Energy Laboratory Jobs and Economic Development Impact models incorporating local economic data and review of relevant literature were conducted. The findings suggest that community and diversified funding structures exhibit 40-100% higher socioeconomic impact levels than corporate structures. Prioritization of funding sources and retention of federal tax incentives were identified as key elements. The incorporation of local shares was found to mitigate the negative effects of foreign private equity, local debt financing increased economic output and opportunities for private equity investment were identified. The results provide the groundwork for energy policies focused to maximize socioeconomic impacts while creating opportunities for inclusive economic participation and improved social acceptance levels fundamental to the deployment of renewable energy technology.

Sociology Faculty Members Employed Part-Time in Community Colleges: Structural Disadvantage, Cultural Devaluation, and Faculty-Student Relationships

ERIC Educational Resources Information Center

Curtis, John W.; Mahabir, Cynthia; Vitullo, Margaret Weigers

2016-01-01

The large majority of faculty members teaching in community colleges are employed on a part-time basis, yet little is known about their working conditions and professional engagement. This article uses data from a recent national survey of faculty members teaching sociology in community colleges to provide this information, with particular…

Beyond the biomedical: community resources for mental health care in rural Ethiopia.

PubMed

Selamu, Medhin; Asher, Laura; Hanlon, Charlotte; Medhin, Girmay; Hailemariam, Maji; Patel, Vikram; Thornicroft, Graham; Fekadu, Abebaw

2015-01-01

The focus of discussion in addressing the treatment gap is often on biomedical services. However, community resources can benefit health service scale-up in resource-constrained settings. These assets can be captured systematically through resource mapping, a method used in social action research. Resource mapping can be informative in developing complex mental health interventions, particularly in settings with limited formal mental health resources. We employed resource mapping within the Programme for Improving Mental Health Care (PRIME), to systematically gather information on community assets that can support integration of mental healthcare into primary care in rural Ethiopia. A semi-structured instrument was administered to key informants. Community resources were identified for all 58 sub-districts of the study district. The potential utility of these resources for the provision of mental healthcare in the district was considered. The district is rich in community resources: There are over 150 traditional healers, 164 churches and mosques, and 401 religious groups. There were on average 5 eddir groups (traditional funeral associations) per sub-district. Social associations and 51 micro-finance institutions were also identified. On average, two traditional bars were found in each sub-district. The eight health centres and 58 satellite clinics staffed by Health Extension Workers (HEWs) represented all the biomedical health services in the district. In addition the Health Development Army (HDA) are community volunteers who support health promotion and prevention activities. The plan for mental healthcare integration in this district was informed by the resource mapping. Community and religious leaders, HEWs, and HDA may have roles in awareness-raising, detection and referral of people with mental illness, improving access to medical care, supporting treatment adherence, and protecting human rights. The diversity of community structures will be used to support rehabilitation and social reintegration. Alcohol use was identified as a target disorder for community-level intervention.

Beyond the Biomedical: Community Resources for Mental Health Care in Rural Ethiopia

PubMed Central

Selamu, Medhin; Asher, Laura; Hanlon, Charlotte; Medhin, Girmay; Hailemariam, Maji; Patel, Vikram; Thornicroft, Graham; Fekadu, Abebaw

2015-01-01

Background The focus of discussion in addressing the treatment gap is often on biomedical services. However, community resources can benefit health service scale-up in resource-constrained settings. These assets can be captured systematically through resource mapping, a method used in social action research. Resource mapping can be informative in developing complex mental health interventions, particularly in settings with limited formal mental health resources. Method We employed resource mapping within the Programme for Improving Mental Health Care (PRIME), to systematically gather information on community assets that can support integration of mental healthcare into primary care in rural Ethiopia. A semi-structured instrument was administered to key informants. Community resources were identified for all 58 sub-districts of the study district. The potential utility of these resources for the provision of mental healthcare in the district was considered. Results The district is rich in community resources: There are over 150 traditional healers, 164 churches and mosques, and 401 religious groups. There were on average 5 eddir groups (traditional funeral associations) per sub-district. Social associations and 51 micro-finance institutions were also identified. On average, two traditional bars were found in each sub-district. The eight health centres and 58 satellite clinics staffed by Health Extension Workers (HEWs) represented all the biomedical health services in the district. In addition the Health Development Army (HDA) are community volunteers who support health promotion and prevention activities. Discussion The plan for mental healthcare integration in this district was informed by the resource mapping. Community and religious leaders, HEWs, and HDA may have roles in awareness-raising, detection and referral of people with mental illness, improving access to medical care, supporting treatment adherence, and protecting human rights. The diversity of community structures will be used to support rehabilitation and social reintegration. Alcohol use was identified as a target disorder for community-level intervention. PMID:25962075

Are gay communities dying or just in transition? Results from an international consultation examining possible structural change in gay communities.

PubMed

Simon Rosser, B R; West, William; Weinmeyer, Richard

2008-05-01

This study sought to identify how urban gay communities are undergoing structural change, reasons for that change, and implications for HIV prevention planning. Key informants (N=29) at the AIDS Impact Conference from 17 cities in 14 countries completed surveys and participated in a facilitated structured dialog about if gay communities are changing, and if so, how they are changing. In all cities, the virtual gay community was identified as currently larger than the offline physical community. Most cities identified that while the gay population in their cities appeared stable or growing, the gay community appeared in decline. Measures included greater integration of heterosexuals into historically gay-identified neighborhoods and movement of gay persons into suburbs, decreased number of gay bars/clubs, less attendance at gay events, less volunteerism in gay or HIV/AIDS organizations, and the overall declining visibility of gay communities. Participants attributed structural change to multiple factors including gay neighborhood gentrification, achievement of civil rights, less discrimination, a vibrant virtual community, and changes in drug use. Consistent with social assimilation, gay infrastructure, visibility, and community identification appears to be decreasing across cities. HIV prevention planning, interventions, treatment services, and policies need to be re-conceptualized for MSM in the future. Four recommendations for future HIV prevention and research are detailed.

Informal teacher communities enhancing the professional development of medical teachers: a qualitative study.

PubMed

van Lankveld, Thea; Schoonenboom, Judith; Kusurkar, Rashmi; Beishuizen, Jos; Croiset, Gerda; Volman, Monique

2016-04-14

Informal peer learning is a particularly powerful form of learning for medical teachers, although it does not always occur automatically in the departments of medical schools. In this article, the authors explore the role of teacher communities in enhancing informal peer learning among undergraduate medical teachers. Teacher communities are groups of teachers who voluntarily gather on a regular basis to develop and share knowledge. Outside of medical education, these informal teacher communities have proved to be an effective means of enhancing peer learning of academic teachers. The processes underlying this outcome are, however, not known. This study therefore aims to explore the processes that make informal teacher communities effective in supporting peer learning of teachers. A qualitative study was performed at a Dutch medical school, where a student-centred undergraduate curriculum had recently been introduced. As part of this curriculum, tutors are segregated into separate specialty areas and thus have only limited opportunities for informal learning with other tutors. The authors followed two informal teacher communities aimed at supporting these tutors. They observed the interactions within the teacher communities and held semi-structured interviews with ten of the participants. The observation notes and interview data were analysed using thematic analysis. The informal teacher communities allowed the tutors to engage in a dialogue with colleagues and share questions, solutions, and interpretations. The teacher communities also provided opportunities to explicate tacit expertise, which helped the tutors to develop an idea of their role and form a frame of reference for their own experiences. Furthermore, the communities enhanced the tutors' sense of belonging. The tutors felt more secure in their role and they felt valued by the organisation due to the teacher communities. This study shows that informal teacher communities not only support the professional development of tutors, but also validate and strengthen their identity as teachers. They seem to provide a dialogical space where informal intercollegiate learning is stimulated, stories are shared, tacit knowledge is made explicit, concerns are shared, and teacher identity is nurtured.

Differences in macroinvertebrate community structure in streams and rivers with different hydrologic regimes in the semi-arid Colorado Plateau

USGS Publications Warehouse

Miller, Matthew P.; Brasher, Anne M.D.

2011-01-01

Aquatic macroinvertebrates are sensitive to changes in their chemical and physical environment, and as such, serve as excellent indicators of overall ecosystem health. Moreover, temporal and spatial differences in macroinvertebrate community structure can be used to investigate broad issues in aquatic science, such as the hypothesis that changes in climate are likely to have disproportionately large effects on small, intermittent stream ecosystems. We quantified macroinvertebrate community structure and abiotic conditions at ten stream sites with different dominant hydrologic regimes in the Colorado Plateau, ranging from small, intermittent desert streams to large perennial mountain rivers. Considerable differences were observed in community structure between sites with differing hydrologic regimes. Quantitative results of non-metric multidimensional scaling (NMDS) ordination and Spearman rank correlations between physical habitat and macroinvertebrate resemblance matrices indicate that discharge, geomorphic channel unit type (% pools vs. % riffles), percent of substrate composed of sand, and velocity were the subset of measured habitat variables that best explained the differences in macroinvertebrate community structure among sites. Of the 134 taxa identified, nine taxa explained 95 % of the variability in community structure between sites. These results add to a growing base of knowledge regarding the functioning of lotic ecosystems in the Colorado Plateau, and provide timely information on anticipated changes in the structure and function of aquatic ecosystems in response to predicted future environmental conditions.

Applied and implied semantics in crystallographic publishing

PubMed Central

2012-01-01

Background Crystallography is a data-rich, software-intensive scientific discipline with a community that has undertaken direct responsibility for publishing its own scientific journals. That community has worked actively to develop information exchange standards allowing readers of structure reports to access directly, and interact with, the scientific content of the articles. Results Structure reports submitted to some journals of the International Union of Crystallography (IUCr) can be automatically validated and published through an efficient and cost-effective workflow. Readers can view and interact with the structures in three-dimensional visualization applications, and can access the experimental data should they wish to perform their own independent structure solution and refinement. The journals also layer on top of this facility a number of automated annotations and interpretations to add further scientific value. Conclusions The benefits of semantically rich information exchange standards have revolutionised the scholarly publishing process for crystallography, and establish a model relevant to many other physical science disciplines. PMID:22932420

SKILLS--Structuring Knowledge and Information for Learning and Living of Students in Australian Universities

ERIC Educational Resources Information Center

Chowdhury, Gobinda G.

2009-01-01

Universities in Australia, like their counterparts abroad, are making available several different kinds of electronic information services for their student communities. University students need different types of information for the frequently entwined purposes of learning and living, and such information may be available from a variety of…

Community structure and diversity of tropical forest mammals: data from a global camera trap network.

PubMed

Ahumada, Jorge A; Silva, Carlos E F; Gajapersad, Krisna; Hallam, Chris; Hurtado, Johanna; Martin, Emanuel; McWilliam, Alex; Mugerwa, Badru; O'Brien, Tim; Rovero, Francesco; Sheil, Douglas; Spironello, Wilson R; Winarni, Nurul; Andelman, Sandy J

2011-09-27

Terrestrial mammals are a key component of tropical forest communities as indicators of ecosystem health and providers of important ecosystem services. However, there is little quantitative information about how they change with local, regional and global threats. In this paper, the first standardized pantropical forest terrestrial mammal community study, we examine several aspects of terrestrial mammal species and community diversity (species richness, species diversity, evenness, dominance, functional diversity and community structure) at seven sites around the globe using a single standardized camera trapping methodology approach. The sites-located in Uganda, Tanzania, Indonesia, Lao PDR, Suriname, Brazil and Costa Rica-are surrounded by different landscape configurations, from continuous forests to highly fragmented forests. We obtained more than 51 000 images and detected 105 species of mammals with a total sampling effort of 12 687 camera trap days. We find that mammal communities from highly fragmented sites have lower species richness, species diversity, functional diversity and higher dominance when compared with sites in partially fragmented and continuous forest. We emphasize the importance of standardized camera trapping approaches for obtaining baselines for monitoring forest mammal communities so as to adequately understand the effect of global, regional and local threats and appropriately inform conservation actions.

Exploring the Complex Pattern of Information Spreading in Online Blog Communities

PubMed Central

Pei, Sen; Muchnik, Lev; Tang, Shaoting; Zheng, Zhiming; Makse, Hernán A.

2015-01-01

Information spreading in online social communities has attracted tremendous attention due to its utmost practical values in applications. Despite that several individual-level diffusion data have been investigated, we still lack the detailed understanding of the spreading pattern of information. Here, by comparing information flows and social links in a blog community, we find that the diffusion processes are induced by three different spreading mechanisms: social spreading, self-promotion and broadcast. Although numerous previous studies have employed epidemic spreading models to simulate information diffusion, we observe that such models fail to reproduce the realistic diffusion pattern. In respect to users behaviors, strikingly, we find that most users would stick to one specific diffusion mechanism. Moreover, our observations indicate that the social spreading is not only crucial for the structure of diffusion trees, but also capable of inducing more subsequent individuals to acquire the information. Our findings suggest new directions for modeling of information diffusion in social systems, and could inform design of efficient propagation strategies based on users behaviors. PMID:25985081

Exploring the complex pattern of information spreading in online blog communities.

PubMed

Pei, Sen; Muchnik, Lev; Tang, Shaoting; Zheng, Zhiming; Makse, Hernán A

2015-01-01

Information spreading in online social communities has attracted tremendous attention due to its utmost practical values in applications. Despite that several individual-level diffusion data have been investigated, we still lack the detailed understanding of the spreading pattern of information. Here, by comparing information flows and social links in a blog community, we find that the diffusion processes are induced by three different spreading mechanisms: social spreading, self-promotion and broadcast. Although numerous previous studies have employed epidemic spreading models to simulate information diffusion, we observe that such models fail to reproduce the realistic diffusion pattern. In respect to users behaviors, strikingly, we find that most users would stick to one specific diffusion mechanism. Moreover, our observations indicate that the social spreading is not only crucial for the structure of diffusion trees, but also capable of inducing more subsequent individuals to acquire the information. Our findings suggest new directions for modeling of information diffusion in social systems, and could inform design of efficient propagation strategies based on users behaviors.

Views of Community Managers on Knowledge Co-creation in Online Communities for People With Disabilities: Qualitative Study

PubMed Central

Rubinelli, Sara

2017-01-01

Background The use of online communities to promote end user involvement and co-creation in the product and service innovation process is well documented in the marketing and management literature. Whereas online communities are widely used for health care service provision and peer-to-peer support, only little is known about how they could be integrated into the health care innovation process. Objective The overall objective of this qualitative study was to explore community managers’ views on and experiences with knowledge co-creation in online communities for people with disabilities. Methods A descriptive qualitative research design was used. Data were collected through semi-structured interviews with nine community managers. To complement the interview data, additional information was retrieved from the communities in the form of structural information (number of registered users, number and names of topic areas covered by the forum) and administrative information (terms and conditions and privacy statements, forum rules). Data were analyzed using thematic analysis. Results Our results highlight two main aspects: peer-to-peer knowledge co-creation and types of collaboration with external actors. Although community managers strongly encouraged peer-to-peer knowledge co-creation, our findings indicated that these activities were not common practice in the communities under investigation. In fact, much of what related to co-creation, prototyping, and product development was still perceived to be directed by professionals and experts. Community managers described the role of their respective communities as informing this process rather than a driving force. The role of community members as advisors to researchers, health care professionals, and businesses was discussed in the context of types of collaboration with external actors. According to the community managers, most of the external inquiries related to research projects of students or health care professionals in training, who often joined a community for the sole purpose of recruiting participants for their research. Despite this unilateral form of knowledge co-creation, community managers acknowledged the mere interest of these user groups as beneficial, as long as their interest was not purely financially motivated. Being able to contribute to advancing research, improving products, and informing the planning and design of health care services were described as some of the key motivations to engage with external stakeholders. Conclusions This paper draws attention to the currently under-investigated role of online communities as platforms for collaboration and co-creation between patients, health care professionals, researchers, and businesses. It describes community managers’ views on and experiences with knowledge co-creation and provides recommendations on how these activities can be leveraged to foster knowledge co-creation in health care. Engaging in knowledge co-creation with online health communities may ultimately help to inform the planning and design of products, services, and research activities that better meet the actual needs of those living with a disability. PMID:29017993

Views of Community Managers on Knowledge Co-creation in Online Communities for People With Disabilities: Qualitative Study.

PubMed

Amann, Julia; Rubinelli, Sara

2017-10-10

The use of online communities to promote end user involvement and co-creation in the product and service innovation process is well documented in the marketing and management literature. Whereas online communities are widely used for health care service provision and peer-to-peer support, only little is known about how they could be integrated into the health care innovation process. The overall objective of this qualitative study was to explore community managers' views on and experiences with knowledge co-creation in online communities for people with disabilities. A descriptive qualitative research design was used. Data were collected through semi-structured interviews with nine community managers. To complement the interview data, additional information was retrieved from the communities in the form of structural information (number of registered users, number and names of topic areas covered by the forum) and administrative information (terms and conditions and privacy statements, forum rules). Data were analyzed using thematic analysis. Our results highlight two main aspects: peer-to-peer knowledge co-creation and types of collaboration with external actors. Although community managers strongly encouraged peer-to-peer knowledge co-creation, our findings indicated that these activities were not common practice in the communities under investigation. In fact, much of what related to co-creation, prototyping, and product development was still perceived to be directed by professionals and experts. Community managers described the role of their respective communities as informing this process rather than a driving force. The role of community members as advisors to researchers, health care professionals, and businesses was discussed in the context of types of collaboration with external actors. According to the community managers, most of the external inquiries related to research projects of students or health care professionals in training, who often joined a community for the sole purpose of recruiting participants for their research. Despite this unilateral form of knowledge co-creation, community managers acknowledged the mere interest of these user groups as beneficial, as long as their interest was not purely financially motivated. Being able to contribute to advancing research, improving products, and informing the planning and design of health care services were described as some of the key motivations to engage with external stakeholders. This paper draws attention to the currently under-investigated role of online communities as platforms for collaboration and co-creation between patients, health care professionals, researchers, and businesses. It describes community managers' views on and experiences with knowledge co-creation and provides recommendations on how these activities can be leveraged to foster knowledge co-creation in health care. Engaging in knowledge co-creation with online health communities may ultimately help to inform the planning and design of products, services, and research activities that better meet the actual needs of those living with a disability. ©Julia Amann, Sara Rubinelli. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.10.2017.

Nursing student perceptions of community in online learning.

PubMed

Gallagher-Lepak, Susan; Reilly, Janet; Killion, Cheryl M

2009-01-01

Nursing faculty need to understand the unique aspects of online learning environments and develop new pedagogies for teaching in the virtual classroom. The concept of community is important in online learning and a strong sense of community can enhance student engagement and improve learning outcomes in online courses. Student perceptions of community in online learning environments were explored in this study. Five focus group sessions were held and online nursing students were asked to give examples of experiences related to sense of community. Fifteen major themes emerged: class structure, required participation, teamwork, technology, becoming, commonalities, disconnects, mutual exchange, online etiquette, informal discussions, aloneness, trepidation, unknowns, nonverbal communication and anonymity. Themes sorted into the categories of structural, processual and emotional factors. Theme descriptions show how sense of community can be enhanced and/or diminished in online courses. This study adds depth and detail to the limited body of research on sense of community in distance education in nursing courses.

Communicating on a Peanuts Budget.

ERIC Educational Resources Information Center

Holliday, Albert E.

2003-01-01

Describes several low-cost practices school administrators use to communicate with parents and the community, such as using school board meetings as a mini-information forum, plugging into the power structure, asking for opinions, participating in a community newsletter, conducting audits of a school climate, encouraging your employees and…

Maker Culture and "Minecraft": Implications for the Future of Learning

ERIC Educational Resources Information Center

Niemeyer, Dodie J.; Gerber, Hannah R.

2015-01-01

Collaborative learning environments found with gaming communities can provide excellent structures to study the way that learners act within informal learning environments. For example, many of these gaming communities encourage gamers to create videogames and virtual world walkthroughs and commentaries. Walkthroughs and commentaries provide…

Weighted compactness function based label propagation algorithm for community detection

NASA Astrophysics Data System (ADS)

Zhang, Weitong; Zhang, Rui; Shang, Ronghua; Jiao, Licheng

2018-02-01

Community detection in complex networks, is to detect the community structure with the internal structure relatively compact and the external structure relatively sparse, according to the topological relationship among nodes in the network. In this paper, we propose a compactness function which combines the weight of nodes, and use it as the objective function to carry out the node label propagation. Firstly, according to the node degree, we find the sets of core nodes which have great influence on the network. The more the connections between the core nodes and the other nodes are, the larger the amount of the information these kernel nodes receive and transform. Then, according to the similarity of the nodes between the core nodes sets and the nodes degree, we assign weights to the nodes in the network. So the label of the nodes with great influence will be the priority in the label propagation process, which effectively improves the accuracy of the label propagation. The compactness function between nodes and communities in this paper is based on the nodes influence. It combines the connections between nodes and communities with the degree of the node belongs to its neighbor communities based on calculating the node weight. The function effectively uses the information of nodes and connections in the network. The experimental results show that the proposed algorithm can achieve good results in the artificial network and large-scale real networks compared with the 8 contrast algorithms.

Informal learning processes in support of clinical service delivery in a service-oriented community pharmacy.

PubMed

Patterson, Brandon J; Bakken, Brianne K; Doucette, William R; Urmie, Julie M; McDonough, Randal P

The evolving health care system necessitates pharmacy organizations' adjustments by delivering new services and establishing inter-organizational relationships. One approach supporting pharmacy organizations in making changes may be informal learning by technicians, pharmacists, and pharmacy owners. Informal learning is characterized by a four-step cycle including intent to learn, action, feedback, and reflection. This framework helps explain individual and organizational factors that influence learning processes within an organization as well as the individual and organizational outcomes of those learning processes. A case study of an Iowa independent community pharmacy with years of experience in offering patient care services was made. Nine semi-structured interviews with pharmacy personnel revealed initial evidence in support of the informal learning model in practice. Future research could investigate more fully the informal learning model in delivery of patient care services in community pharmacies. Copyright © 2016 Elsevier Inc. All rights reserved.

FUNCTIONAL NETWORK ARCHITECTURE OF READING-RELATED REGIONS ACROSS DEVELOPMENT

PubMed Central

Vogel, Alecia C.; Church, Jessica A.; Power, Jonathan D.; Miezin, Fran M.; Petersen, Steven E.; Schlaggar, Bradley L.

2013-01-01

Reading requires coordinated neural processing across a large number of brain regions. Studying relationships between reading-related regions informs the specificity of information processing performed in each region. Here, regions of interest were defined from a meta-analysis of reading studies, including a developmental study. Relationships between regions were defined as temporal correlations in spontaneous fMRI signal; i.e., resting state functional connectivity MRI (RSFC). Graph theory based network analysis defined the community structure of the “reading-related” regions. Regions sorted into previously defined communities, such as the fronto-parietal and cingulo-opercular control networks, and the default mode network. This structure was similar in children, and no apparent “reading” community was defined in any age group. These results argue against regions, or sets of regions, being specific or preferential for reading, instead indicating that regions used in reading are also used in a number of other tasks. PMID:23506969

Methods for understanding microbial community structures and functions in microbial fuel cells: a review.

PubMed

Zhi, Wei; Ge, Zheng; He, Zhen; Zhang, Husen

2014-11-01

Microbial fuel cells (MFCs) employ microorganisms to recover electric energy from organic matter. However, fundamental knowledge of electrochemically active bacteria is still required to maximize MFCs power output for practical applications. This review presents microbiological and electrochemical techniques to help researchers choose the appropriate methods for the MFCs study. Pre-genomic and genomic techniques such as 16S rRNA based phylogeny and metagenomics have provided important information in the structure and genetic potential of electrode-colonizing microbial communities. Post-genomic techniques such as metatranscriptomics allow functional characterizations of electrode biofilm communities by quantifying gene expression levels. Isotope-assisted phylogenetic analysis can further link taxonomic information to microbial metabolisms. A combination of electrochemical, phylogenetic, metagenomic, and post-metagenomic techniques offers opportunities to a better understanding of the extracellular electron transfer process, which in turn can lead to process optimization for power output. Copyright © 2014 Elsevier Ltd. All rights reserved.

Vertical distribution of bacterial community is associated with the degree of soil organic matter decomposition in the active layer of moist acidic tundra.

PubMed

Kim, Hye Min; Lee, Min Jin; Jung, Ji Young; Hwang, Chung Yeon; Kim, Mincheol; Ro, Hee-Myong; Chun, Jongsik; Lee, Yoo Kyung

2016-11-01

The increasing temperature in Arctic tundra deepens the active layer, which is the upper layer of permafrost soil that experiences repeated thawing and freezing. The increasing of soil temperature and the deepening of active layer seem to affect soil microbial communities. Therefore, information on soil microbial communities at various soil depths is essential to understand their potential responses to climate change in the active layer soil. We investigated the community structure of soil bacteria in the active layer from moist acidic tundra in Council, Alaska. We also interpreted their relationship with some relevant soil physicochemical characteristics along soil depth with a fine scale (5 cm depth interval). The bacterial community structure was found to change along soil depth. The relative abundances of Acidobacteria, Gammaproteobacteria, Planctomycetes, and candidate phylum WPS-2 rapidly decreased with soil depth, while those of Bacteroidetes, Chloroflexi, Gemmatimonadetes, and candidate AD3 rapidly increased. A structural shift was also found in the soil bacterial communities around 20 cm depth, where two organic (upper Oi and lower Oa) horizons are subdivided. The quality and the decomposition degree of organic matter might have influenced the bacterial community structure. Besides the organic matter quality, the vertical distribution of bacterial communities was also found to be related to soil pH and total phosphorus content. This study showed the vertical change of bacterial community in the active layer with a fine scale resolution and the possible influence of the quality of soil organic matter on shaping bacterial community structure.

A Model of Fertility Control in a Puerto Rican Community.

ERIC Educational Resources Information Center

Schensul, Stephen L.; And Others

1982-01-01

Studied fertility control among Puerto Rican women in Hartford, Connecticut, utilizing data gathered from structured interviews. Found that sterilization is the overwhelming preference in this community and that number of children--rather than age or availability of accurate information--is usually the factor that precipitates the decision to…

The Expansion of Dreissena and Long-term Shifts in Benthic Macroinvertebrate Community Structure in Lake Ontario, 1998-2008

EPA Science Inventory

The introduction of Dreissena to the Great lakes has profoundly impacted benthic ecosystems, resulting in the decline of native species and dramatic community restructuring. In Lake Ontario, long-term monitoring has yielded a wealth of detailed information regarding both the exp...

A Structural Model for Student Outcomes: Assessment Programs in Community Colleges.

ERIC Educational Resources Information Center

Altieri, Guy

1990-01-01

Presents a model for establishing a community college student outcomes assessment program, listing types of student outcomes that should be assessed, and sources of information and measures typically used to assess the outcomes. Reviews steps in program development and in tailoring the program to the college. (DMM)

Michigan Community Colleges, FY 1982-83: Activities Classification Structure (ACS) Data Book.

ERIC Educational Resources Information Center

Grobe, Loretta L., Comp.; Root, Ronald, Comp.

Ratios and percentages derived from information submitted by Michigan's 29 community colleges are provided for fiscal year 1982-83. Section 1 presents tables showing instructional ratios and percentages, including data on enrollments by college by instructional category; the state's prison population; course contact/credit hour ratios by…

THE NORMATIVE WORLD OF THE ELEMENTARY SCHOOL TEACHER.

ERIC Educational Resources Information Center

FOSKETT, JOHN M.

TO DETERMINE HOW COMMUNITY PERCEPTIONS ABOUT RULES OF BEHAVIOR AFFECT THE POSITION AND ROLE OF TEACHERS, INFORMATION ABOUT THE NORMATIVE STRUCTURE OF ELEMENTARY SCHOOLS WAS GAINED THROUGH USE OF ROLE NORM INVENTORIES ADMINISTERED TO 367 TEACHERS, 22 PRINCIPALS, 7 SCHOOL BOARD MEMBERS, THE SCHOOL SUPERINTENDENT, 603 CITIZENS, 56 COMMUNITY LEADERS,…

Maryland Community Colleges: Databook and Annual Report.

ERIC Educational Resources Information Center

Maryland State Board for Community Colleges, Annapolis.

This databook, which is used for strategic planning, provides an overview of all aspects of community college functions in Maryland and is an annual report to the state legislature. Section I provides information on the Maryland higher education structure and undergraduate enrollment by county and type of institution. Section II presents…

Data-Driven Decision Making in Community Colleges: An Integrative Model for Institutional Effectiveness

ERIC Educational Resources Information Center

Callery, Claude Adam

2012-01-01

This qualitative study identified the best practices utilized by community colleges to achieve systemic and cultural agreement in support of the integration of institutional effectiveness measures (key performance indicators) to inform decision making. In addition, the study identifies the relevant motives, organizational structure, and processes…

Suffolk Community College Early Childhood Program Review.

ERIC Educational Resources Information Center

Hochman, Darlene; Kaplan, Paul

The Early Childhood Program (ECP) at Suffolk County Community College (SCCC) was established to train students in the instruction of young children by providing them with theoretical knowledge, skills training, and practical experience. This report provides information on the philosophy, structure, and outcomes of the ECP. The first section…

Beyond the Farmgate: Factors Related to Agricultural Performance in Two Dairy Communities.

ERIC Educational Resources Information Center

Cruise, James; Lyson, Thomas A.

1991-01-01

In two marginal dairy communities with similar physical environment, ethnic composition, and farm structure, a significant difference in productivity (milk yield per cow) was related to differences in educational attainment of farmers, proximity to an urban area, and availability of marketing outlets and agricultural information sources. Contains…

Technology of Cable Television.

ERIC Educational Resources Information Center

Cable Television Information Center, Washington, DC.

The technology of cable television (CATV) is one area in which local community officials need to develop knowledge so that their decisions about the structure of CATV within the community will be informed. Thus, this paper is designed to familiarize local decision makers with the technological aspects of cable communications, to isolate specific…

Novel 16S rDNA primers revealed the diversity and habitats-related community structure of sphingomonads in 10 different niches.

PubMed

Huang, Yili; Feng, Hao; Lu, Hang; Zeng, Yanhua

2017-07-01

It is believed that sphingomonads are ubiquitously distributed in environments. However detailed information about their community structure and their co-relationship with environmental parameters remain unclear. In this study, novel sphingomonads-specific primers based on the 16S rRNA gene were designed to investigate the distribution of sphingomonads in 10 different niches. Both in silico and in-practice tests on pure cultures and environmental samples showed that Sph384f/Sph701r was an efficient primer set. Illumina MiSeq sequencing revealed that community structures of sphingomonads were significantly different among the 10 samples, although 12 sphingomonad genera were present in all samples. Based on RDA analysis and Monte Carlo permutation test, sphingomonad community structure was significantly correlated with limnetic and marine habitat types. Among these niches, the genus Sphingomicrobium showed strong positive correlation with marine habitats, whereas genera Sphingobium, Novosphingobium, Sphingopyxis, and Sphingorhabdus showed strong positive correlation with limnetic habitats. Our study provided direct evidence that sphingomonads are ubiquitously distributed in environments, and revealed for the first time that their community structure can be correlated with habitats.

Identifying consumer's needs of health information technology through an innovative participatory design approach among English- and Spanish-speaking urban older adults.

PubMed

Lucero, R; Sheehan, B; Yen, P; Velez, O; Nobile-Hernandez, D; Tiase, V

2014-01-01

We describe an innovative community-centered participatory design approach, Consumer-centered Participatory Design (C2PD), and the results of applying C2PD to design and develop a web-based fall prevention system. We conducted focus groups and design sessions with English- and Spanish-speaking community-dwelling older adults. Focus group data were summarized and used to inform the context of the design sessions. Descriptive content analysis methods were used to develop categorical descriptions of design session informant's needs related to information technology. The C2PD approach enabled the assessment and identification of informant's needs of health information technology (HIT) that informed the development of a falls prevention system. We learned that our informants needed a system that provides variation in functions/content; differentiates between actionable/non-actionable information/structures; and contains sensory cues that support wide-ranging and complex tasks in a varied, simple, and clear interface to facilitate self-management. The C2PD approach provides community-based organizations, academic researchers, and commercial entities with a systematic theoretically informed approach to develop HIT innovations. Our community-centered participatory design approach focuses on consumer's technology needs while taking into account core public health functions.

Designing Place-Based Interventions for Sustainability and Replicability: The Case of GO! Austin/VAMOS! Austin

PubMed Central

Hussaini, Aliya; Pulido, Carmen Llanes; Basu, Semonti; Ranjit, Nalini

2018-01-01

Place-based health efforts account for the role of the community environment in shaping decisions and circumstances that affect population well-being. Such efforts, rooted as they are in the theory that health is socially determined, mobilize resources for health promotion that are not typically used, and offer a more informed and robust way of promoting health outcomes within a community. Common criticisms of place-based work include the difficulty of replication, since engagement is so specific to a place, and limited sustainability of the work, in the absence of continued institutional structures, both within the community and supporting structures outside the community, to keep these initiatives resilient. This paper describes a place-based initiative, GO! Austin/VAMOS! Austin (GAVA), which was designed to harness the strengths of place-based work—namely, its specificity to place and community. From the start, the project was designed to balance this specificity with a focus on developing and utilizing a standardized set of evidence-informed implementation and evaluation approaches and tools that were flexible enough to be modified for specific settings. This was accompanied by an emphasis on leadership and capacity building within resident leaders, which provided for informed intervention and demand building capacity, but also for longevity as partners, philanthropic, and otherwise, moved in and out of the work. PMID:29623272

Designing Place-Based Interventions for Sustainability and Replicability: The Case of GO! Austin/VAMOS! Austin.

PubMed

Hussaini, Aliya; Pulido, Carmen Llanes; Basu, Semonti; Ranjit, Nalini

2018-01-01

Place-based health efforts account for the role of the community environment in shaping decisions and circumstances that affect population well-being. Such efforts, rooted as they are in the theory that health is socially determined, mobilize resources for health promotion that are not typically used, and offer a more informed and robust way of promoting health outcomes within a community. Common criticisms of place-based work include the difficulty of replication , since engagement is so specific to a place, and limited sustainability of the work, in the absence of continued institutional structures, both within the community and supporting structures outside the community, to keep these initiatives resilient. This paper describes a place-based initiative, GO! Austin/VAMOS! Austin (GAVA), which was designed to harness the strengths of place-based work-namely, its specificity to place and community. From the start, the project was designed to balance this specificity with a focus on developing and utilizing a standardized set of evidence-informed implementation and evaluation approaches and tools that were flexible enough to be modified for specific settings. This was accompanied by an emphasis on leadership and capacity building within resident leaders, which provided for informed intervention and demand building capacity, but also for longevity as partners, philanthropic, and otherwise, moved in and out of the work.

Change in phylogenetic community structure during succession of traditionally managed tropical rainforest in southwest China.

PubMed

Mo, Xiao-Xue; Shi, Ling-Ling; Zhang, Yong-Jiang; Zhu, Hua; Slik, J W Ferry

2013-01-01

Tropical rainforests in Southeast Asia are facing increasing and ever more intense human disturbance that often negatively affects biodiversity. The aim of this study was to determine how tree species phylogenetic diversity is affected by traditional forest management types and to understand the change in community phylogenetic structure during succession. Four types of forests with different management histories were selected for this purpose: old growth forests, understorey planted old growth forests, old secondary forests (∼200-years after slash and burn), and young secondary forests (15-50-years after slash and burn). We found that tree phylogenetic community structure changed from clustering to over-dispersion from early to late successional forests and finally became random in old-growth forest. We also found that the phylogenetic structure of the tree overstorey and understorey responded differentially to change in environmental conditions during succession. In addition, we show that slash and burn agriculture (swidden cultivation) can increase landscape level plant community evolutionary information content.

Change in Phylogenetic Community Structure during Succession of Traditionally Managed Tropical Rainforest in Southwest China

PubMed Central

Mo, Xiao-Xue; Shi, Ling-Ling; Zhang, Yong-Jiang; Zhu, Hua; Slik, J. W. Ferry

2013-01-01

Tropical rainforests in Southeast Asia are facing increasing and ever more intense human disturbance that often negatively affects biodiversity. The aim of this study was to determine how tree species phylogenetic diversity is affected by traditional forest management types and to understand the change in community phylogenetic structure during succession. Four types of forests with different management histories were selected for this purpose: old growth forests, understorey planted old growth forests, old secondary forests (∼200-years after slash and burn), and young secondary forests (15–50-years after slash and burn). We found that tree phylogenetic community structure changed from clustering to over-dispersion from early to late successional forests and finally became random in old-growth forest. We also found that the phylogenetic structure of the tree overstorey and understorey responded differentially to change in environmental conditions during succession. In addition, we show that slash and burn agriculture (swidden cultivation) can increase landscape level plant community evolutionary information content. PMID:23936268

Accelerated Adoption of Advanced Health Information Technology in Beacon Community Health Centers.

PubMed

Jones, Emily; Wittie, Michael

2015-01-01

To complement national and state-level HITECH Act programs, 17 Beacon communities were funded to fuel community-wide use of health information technology to improve quality. Health centers in Beacon communities received supplemental funding. This article explores the association between participation in the Beacon program and the adoption of electronic health records. Using the 2010-2012 Uniform Data System, trends in health information technology adoption among health centers located within and outside of Beacon communities were explored using differences in mean t tests and multivariate logistic regression. Electronic health record adoption was widespread and rapidly growing in all health centers, especially quality improvement functionalities: structured data capture, order and results management, and clinical decision support. Adoption lagged for functionalities supporting patient engagement, performance measurement, care coordination, and public health. The use of advanced functionalities such as care coordination grew faster in Beacon health centers, and Beacon health centers had 1.7 times higher odds of adopting health records with basic safety and quality functionalities in 2010-2012. Three factors likely underlie these findings: technical assistance, community-wide activation supporting health information exchange, and the layering of financial incentives. Additional technical assistance and community-wide activation is needed to support the use of functionalities that are currently lagging. © Copyright 2015 by the American Board of Family Medicine.

Ecosystem Research Experience with Two Indigenous Communities of Colombia: The Ecohealth Calendar as a Participatory and Innovative Methodological Tool.

PubMed

SantoDomingo, Andrés Felipe; Castro-Díaz, Laura; González-Uribe, Catalina

2016-12-01

Eco-bio-social factors may increase or decrease a community's susceptibility to vector-borne disease transmission. Traditional studies have contributed information about the association between eco-bio-social factors and health outcomes, but few have provided this information in an integrative way characterizing annual dynamics among indigenous communities. Transdisciplinary research was conducted with the Bari of Karikachaboquira and the Wayúu of Marbacella and El Horno, using qualitative and participatory methods, including seasonal graphics, semi-structured interviews, geo-referencing routes, and participatory observation. The information was triangulated and discussed with local actors in order to validate and complement the results. An ecohealth calendar was obtained for each community, linking the socioecological dynamics to specific diseases, especially malaria. Local dynamics can change, depending on environmental conditions, and these determine the presence or absence of diseases. For both communities, the rainy season is the period with the greatest proliferation of mosquitoes (including Anopheles spp.), during which malaria cases occur. The ecohealth calendar integrates eco-bio-social information from local communities, through participatory and potentially empowering processes, into a comprehensive layout. This can break down the conceptual, demographic, and cultural barriers in the context of community-based interventions and research to action based on an ecosystem framework.

Predicting rates of interspecific interaction from phylogenetic trees.

PubMed

Nuismer, Scott L; Harmon, Luke J

2015-01-01

Integrating phylogenetic information can potentially improve our ability to explain species' traits, patterns of community assembly, the network structure of communities, and ecosystem function. In this study, we use mathematical models to explore the ecological and evolutionary factors that modulate the explanatory power of phylogenetic information for communities of species that interact within a single trophic level. We find that phylogenetic relationships among species can influence trait evolution and rates of interaction among species, but only under particular models of species interaction. For example, when interactions within communities are mediated by a mechanism of phenotype matching, phylogenetic trees make specific predictions about trait evolution and rates of interaction. In contrast, if interactions within a community depend on a mechanism of phenotype differences, phylogenetic information has little, if any, predictive power for trait evolution and interaction rate. Together, these results make clear and testable predictions for when and how evolutionary history is expected to influence contemporary rates of species interaction. © 2014 John Wiley & Sons Ltd/CNRS.

Attack tolerance of correlated time-varying social networks with well-defined communities

NASA Astrophysics Data System (ADS)

Sur, Souvik; Ganguly, Niloy; Mukherjee, Animesh

2015-02-01

In this paper, we investigate the efficiency and the robustness of information transmission for real-world social networks, modeled as time-varying instances, under targeted attack in shorter time spans. We observe that these quantities are markedly higher than that of the randomized versions of the considered networks. An important factor that drives this efficiency or robustness is the presence of short-time correlations across the network instances which we quantify by a novel metric the-edge emergence factor, denoted as ξ. We find that standard targeted attacks are not effective in collapsing this network structure. Remarkably, if the hourly community structures of the temporal network instances are attacked with the largest size community attacked first, the second largest next and so on, the network soon collapses. This behavior, we show is an outcome of the fact that the edge emergence factor bears a strong positive correlation with the size ordered community structures.

Optimal community structure for social contagions

NASA Astrophysics Data System (ADS)

Su, Zhen; Wang, Wei; Li, Lixiang; Stanley, H. Eugene; Braunstein, Lidia A.

2018-05-01

Community structure is an important factor in the behavior of real-world networks because it strongly affects the stability and thus the phase transition order of the spreading dynamics. We here propose a reversible social contagion model of community networks that includes the factor of social reinforcement. In our model an individual adopts a social contagion when the number of received units of information exceeds its adoption threshold. We use mean-field approximation to describe our proposed model, and the results agree with numerical simulations. The numerical simulations and theoretical analyses both indicate that there is a first-order phase transition in the spreading dynamics, and that a hysteresis loop emerges in the system when there is a variety of initially adopted seeds. We find an optimal community structure that maximizes spreading dynamics. We also find a rich phase diagram with a triple point that separates the no-diffusion phase from the two diffusion phases.

Distributed learning automata-based algorithm for community detection in complex networks

NASA Astrophysics Data System (ADS)

Khomami, Mohammad Mehdi Daliri; Rezvanian, Alireza; Meybodi, Mohammad Reza

2016-03-01

Community structure is an important and universal topological property of many complex networks such as social and information networks. The detection of communities of a network is a significant technique for understanding the structure and function of networks. In this paper, we propose an algorithm based on distributed learning automata for community detection (DLACD) in complex networks. In the proposed algorithm, each vertex of network is equipped with a learning automation. According to the cooperation among network of learning automata and updating action probabilities of each automaton, the algorithm interactively tries to identify high-density local communities. The performance of the proposed algorithm is investigated through a number of simulations on popular synthetic and real networks. Experimental results in comparison with popular community detection algorithms such as walk trap, Danon greedy optimization, Fuzzy community detection, Multi-resolution community detection and label propagation demonstrated the superiority of DLACD in terms of modularity, NMI, performance, min-max-cut and coverage.

Soccer science and the Bayes community: exploring the cognitive implications of modern scientific communication.

PubMed

Shrager, Jeff; Billman, Dorrit; Convertino, Gregorio; Massar, J P; Pirolli, Peter

2010-01-01

Science is a form of distributed analysis involving both individual work that produces new knowledge and collaborative work to exchange information with the larger community. There are many particular ways in which individual and community can interact in science, and it is difficult to assess how efficient these are, and what the best way might be to support them. This paper reports on a series of experiments in this area and a prototype implementation using a research platform called CACHE. CACHE both supports experimentation with different structures of interaction between individual and community cognition and serves as a prototype for computational support for those structures. We particularly focus on CACHE-BC, the Bayes community version of CACHE, within which the community can break up analytical tasks into "mind-sized" units and use provenance tracking to keep track of the relationship between these units. Copyright © 2009 Cognitive Science Society, Inc.

Improving the recommender algorithms with the detected communities in bipartite networks

NASA Astrophysics Data System (ADS)

Zhang, Peng; Wang, Duo; Xiao, Jinghua

2017-04-01

Recommender system offers a powerful tool to make information overload problem well solved and thus gains wide concerns of scholars and engineers. A key challenge is how to make recommendations more accurate and personalized. We notice that community structures widely exist in many real networks, which could significantly affect the recommendation results. By incorporating the information of detected communities in the recommendation algorithms, an improved recommendation approach for the networks with communities is proposed. The approach is examined in both artificial and real networks, the results show that the improvement on accuracy and diversity can be 20% and 7%, respectively. This reveals that it is beneficial to classify the nodes based on the inherent properties in recommender systems.

Vegetation and soils

USGS Publications Warehouse

Burke, M.K.; King, S.L.; Eisenbies, M.H.; Gartner, D.

2000-01-01

Intro paragraph: Characterization of bottomland hardwood vegetation in relatively undisturbed forests can provide critical information for developing effective wetland creation and restoration techniques and for assessing the impacts of management and development. Classification is a useful technique in characterizing vegetation because it summarizes complex data sets, assists in hypothesis generation about factors influencing community variation, and helps refine models of community structure. Hierarchical classification of communities is particularly useful for showing relationships among samples (Gauche 1982).

A community detection algorithm using network topologies and rule-based hierarchical arc-merging strategies

PubMed Central

2017-01-01

The authors use four criteria to examine a novel community detection algorithm: (a) effectiveness in terms of producing high values of normalized mutual information (NMI) and modularity, using well-known social networks for testing; (b) examination, meaning the ability to examine mitigating resolution limit problems using NMI values and synthetic networks; (c) correctness, meaning the ability to identify useful community structure results in terms of NMI values and Lancichinetti-Fortunato-Radicchi (LFR) benchmark networks; and (d) scalability, or the ability to produce comparable modularity values with fast execution times when working with large-scale real-world networks. In addition to describing a simple hierarchical arc-merging (HAM) algorithm that uses network topology information, we introduce rule-based arc-merging strategies for identifying community structures. Five well-studied social network datasets and eight sets of LFR benchmark networks were employed to validate the correctness of a ground-truth community, eight large-scale real-world complex networks were used to measure its efficiency, and two synthetic networks were used to determine its susceptibility to two resolution limit problems. Our experimental results indicate that the proposed HAM algorithm exhibited satisfactory performance efficiency, and that HAM-identified and ground-truth communities were comparable in terms of social and LFR benchmark networks, while mitigating resolution limit problems. PMID:29121100

Culture, community networks, and HIV/AIDS outreach opportunities in a south Indian Siddha organization.

PubMed

Baban, Kaylan; Ikeda, Scott; Pooran, Deeangelee; Hennig, Nils; Indyk, Debbie; Sacks, Henry; Carter, George

2006-01-01

Gandeepam is an NGO in rural south India, with an HIV prevalence rate estimated at 2-7 times the national average. Aside from several outreach programs, Gandeepam practices Siddha medicine. Evaluate Gandeepam's strengths and opportunities to promote HIV education. Three weeks of observing clinic practice, meeting patients, and discussing organizational structure. A survey of attitudes toward HIV was completed. Gandeepam reaches a broad cross-section of its community, and effectively disseminates information. No primary HIV prevention efforts were observed. Current strengths include an established network for information dissemination, and a strong community reputation. Tremendous social obstacles for disseminating effective HIV prevention messages remain.

Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations

PubMed Central

Almog, Assaf; Besamusca, Ferry; MacMahon, Mel; Garlaschelli, Diego

2015-01-01

The mesoscopic organization of complex systems, from financial markets to the brain, is an intermediate between the microscopic dynamics of individual units (stocks or neurons, in the mentioned cases), and the macroscopic dynamics of the system as a whole. The organization is determined by “communities” of units whose dynamics, represented by time series of activity, is more strongly correlated internally than with the rest of the system. Recent studies have shown that the binary projections of various financial and neural time series exhibit nontrivial dynamical features that resemble those of the original data. This implies that a significant piece of information is encoded into the binary projection (i.e. the sign) of such increments. Here, we explore whether the binary signatures of multiple time series can replicate the same complex community organization of the financial market, as the original weighted time series. We adopt a method that has been specifically designed to detect communities from cross-correlation matrices of time series data. Our analysis shows that the simpler binary representation leads to a community structure that is almost identical with that obtained using the full weighted representation. These results confirm that binary projections of financial time series contain significant structural information. PMID:26226226

Detecting Anomalous Insiders in Collaborative Information Systems

PubMed Central

Chen, You; Nyemba, Steve; Malin, Bradley

2012-01-01

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

75 FR 69671 - Agency Information Collection Activities: Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-15

... behavior. All 147 networked crisis centers will complete the Web-based Crisis Center Survey annually. The Survey requests information about organizational structure, staffing, scope of services, call center operations, quality assurance, community outreach/marketing, telephone equipment, data collection, and...

Evaluation of sequence alignments and oligonucleotide probes with respect to three-dimensional structure of ribosomal RNA using ARB software package

PubMed Central

Kumar, Yadhu; Westram, Ralf; Kipfer, Peter; Meier, Harald; Ludwig, Wolfgang

2006-01-01

Background Availability of high-resolution RNA crystal structures for the 30S and 50S ribosomal subunits and the subsequent validation of comparative secondary structure models have prompted the biologists to use three-dimensional structure of ribosomal RNA (rRNA) for evaluating sequence alignments of rRNA genes. Furthermore, the secondary and tertiary structural features of rRNA are highly useful and successfully employed in designing rRNA targeted oligonucleotide probes intended for in situ hybridization experiments. RNA3D, a program to combine sequence alignment information with three-dimensional structure of rRNA was developed. Integration into ARB software package, which is used extensively by the scientific community for phylogenetic analysis and molecular probe designing, has substantially extended the functionality of ARB software suite with 3D environment. Results Three-dimensional structure of rRNA is visualized in OpenGL 3D environment with the abilities to change the display and overlay information onto the molecule, dynamically. Phylogenetic information derived from the multiple sequence alignments can be overlaid onto the molecule structure in a real time. Superimposition of both statistical and non-statistical sequence associated information onto the rRNA 3D structure can be done using customizable color scheme, which is also applied to a textual sequence alignment for reference. Oligonucleotide probes designed by ARB probe design tools can be mapped onto the 3D structure along with the probe accessibility models for evaluation with respect to secondary and tertiary structural conformations of rRNA. Conclusion Visualization of three-dimensional structure of rRNA in an intuitive display provides the biologists with the greater possibilities to carry out structure based phylogenetic analysis. Coupled with secondary structure models of rRNA, RNA3D program aids in validating the sequence alignments of rRNA genes and evaluating probe target sites. Superimposition of the information derived from the multiple sequence alignment onto the molecule dynamically allows the researchers to observe any sequence inherited characteristics (phylogenetic information) in real-time environment. The extended ARB software package is made freely available for the scientific community via . PMID:16672074

Evaluating distributed medical education: what are the community's expectations?

PubMed

Lovato, Chris; Bates, Joanna; Hanlon, Neil; Snadden, David

2009-05-01

This study aimed to explore community members' perceptions of present and future impacts of the implementation of an undergraduate medical education programme in an underserved community. We conducted semi-structured interviews with eight key informants representing the health, education, business, economy, media and political sectors. A two-stage approach was used. In the first stage, the interviews were analysed to identify sector-specific impacts informants perceived as already occurring or which they hoped to see in the future. The transcripts were then re-analysed to determine any underlying themes that crossed sectors. Community leaders described impacts that were already occurring in all sectors and also described changes in the community itself. Four underlying themes emerged: an increase in pride and status; partnership development; community self-efficacy, and community development. These underlying themes appear to characterise the development of social capital in the community. The implementation of distributed undergraduate medical education programmes in rural and underserved communities may impact their host communities in ways other than the production of a rural doctor workforce. Further studies to quantify impacts in diverse sectors and to explore possible links with social capital are needed.

75 FR 62541 - Agency Information Collection Request. 30-Day Public Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-12

... coalitions' structure, funding, activities, impact, and outcomes post-funding. The survey design and content...) approval on a new collection to conduct a survey of community coalitions formerly funded by the Community... Human Services (DHHS). As part of the study, a one-time, self-administered survey will be administered...

Urban Decline or Disinvestment: Uneven Development, Redlining and the Role of the Insurance Industry.

ERIC Educational Resources Information Center

Squires, Gregory D.; And Others

1979-01-01

Redlining of many urban communities and discrimination against the poor and minorities are common in the insurance industry, and these practices contribute to the deterioration of those communities. The utilization of a structural/disinvestment approach by social scientists should provide additional information about the uneven development of…

Effective Practices in Community Based Family Literacy: Results of a National Research and Evaluation Project.

ERIC Educational Resources Information Center

Association for Community Based Education, Washington, DC.

A field evaluation of 14 community-based family and intergenerational literacy programs identified the most effective strategies, structures, and approaches to reach and teach the "hardest to reach." Information was collected through 90-minute telephone surveys with program coordinators and/or executive directors. Although different in structural…

Michigan Community Colleges Activities Classification Structure (ACS) 1997-98 Data Book.

ERIC Educational Resources Information Center

Michigan State Dept. of Education, Lansing.

Based on data submitted by Michigan's 28 community colleges for 1997-98, this report provides instructional, enrollment, personnel, revenue, and expenditure information at the state's colleges and reviews the state funding formula. Section 1 provides historical data from 1987 to 1998 on state appropriations, property tax revenue, tuition and fee…

Phylogenetic diversity of macromycetes and woody plants along an elevational gradient in Eastern Mexico

Treesearch

Marko Gomez-Hernandez; Guadalupe Williams-Linera; D. Jean Lodge; Roger Guevara; Eduardo Ruiz-Sanchez; Etelvina Gandara

2016-01-01

Phylogenetic information provides insight into the ecological and evolutionary processes that organize species assemblages. We compared patterns of phylogenetic diversity among macromycete and woody plant communities along a steep elevational gradient in eastern Mexico to better understand the evolutionary processes that structure their communities. Macrofungi and...

Revising Community College Bylaws to Protect Institutional Integrity: Process and Product.

ERIC Educational Resources Information Center

Katsinas, Stephen G.; And Others

1988-01-01

Describes the Board of Directors' of the Miami-Dade Community College Foundation development of new bylaws. Provides information on the foundation's structure and functions, the concern of the Ad Hoc Committee on Governance with the issues of quorum and board member oversight, and the responsibilities of the foundation's committees. (DMM)

Health and Social Care Practitioners' Experiences of Assessing Mental Capacity in a Community Learning Disability Team

ERIC Educational Resources Information Center

Ratcliff, Daniel; Chapman, Melanie

2016-01-01

Background: The study explored experiences of health and social care practitioners within a community learning disability team in undertaking mental capacity assessments with people with learning disabilities. Materials and Methods: Eight practitioners were interviewed using a semi-structured interview schedule. Results: The information gained was…

Non-native plants and wildlife in the Intermountain West

Treesearch

Andrea R. Litt; Dean E. Pearson

2013-01-01

Non-native plant invasions can change communities and ecosystems by altering the structure and composition of native vegetation. Changes in native plant communities caused by non-native plants can influence native wildlife species in diverse ways, but the outcomes and underlying mechanisms are poorly understood. Here, we review and synthesize current information for...

A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2.

PubMed

Thiele, Ines; Hyduke, Daniel R; Steeb, Benjamin; Fankam, Guy; Allen, Douglas K; Bazzani, Susanna; Charusanti, Pep; Chen, Feng-Chi; Fleming, Ronan M T; Hsiung, Chao A; De Keersmaecker, Sigrid C J; Liao, Yu-Chieh; Marchal, Kathleen; Mo, Monica L; Özdemir, Emre; Raghunathan, Anu; Reed, Jennifer L; Shin, Sook-il; Sigurbjörnsdóttir, Sara; Steinmann, Jonas; Sudarsan, Suresh; Swainston, Neil; Thijs, Inge M; Zengler, Karsten; Palsson, Bernhard O; Adkins, Joshua N; Bumann, Dirk

2011-01-18

Metabolic reconstructions (MRs) are common denominators in systems biology and represent biochemical, genetic, and genomic (BiGG) knowledge-bases for target organisms by capturing currently available information in a consistent, structured manner. Salmonella enterica subspecies I serovar Typhimurium is a human pathogen, causes various diseases and its increasing antibiotic resistance poses a public health problem. Here, we describe a community-driven effort, in which more than 20 experts in S. Typhimurium biology and systems biology collaborated to reconcile and expand the S. Typhimurium BiGG knowledge-base. The consensus MR was obtained starting from two independently developed MRs for S. Typhimurium. Key results of this reconstruction jamboree include i) development and implementation of a community-based workflow for MR annotation and reconciliation; ii) incorporation of thermodynamic information; and iii) use of the consensus MR to identify potential multi-target drug therapy approaches. Taken together, with the growing number of parallel MRs a structured, community-driven approach will be necessary to maximize quality while increasing adoption of MRs in experimental design and interpretation.

A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2

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

Thiele, Ines; Hyduke, Daniel R.; Steeb, Benjamin

2011-01-01

Metabolic reconstructions (MRs) are common denominators in systems biology and represent biochemical, genetic, and genomic (BiGG) knowledge-bases for target organisms by capturing currently available information in a consistent, structured manner. Salmonella enterica subspecies I serovar Typhimurium is a human pathogen, causes various diseases and its increasing antibiotic resistance poses a public health problem. Here, we describe a community-driven effort, in which more than 20 experts in S. Typhimurium biology and systems biology collaborated to reconcile and expand the S. Typhimurium BiGG knowledge-base. The consensus MR was obtained starting from two independently developed MRs for S. Typhimurium. Key results of thismore » reconstruction jamboree include i) development and implementation of a community-based workflow for MR annotation and reconciliation; ii) incorporation of thermodynamic information; and iii) use of the consensus MR to identify potential multi-target drug therapy approaches. Finally, taken together, with the growing number of parallel MRs a structured, community-driven approach will be necessary to maximize quality while increasing adoption of MRs in experimental design and interpretation.« less

Community perspectives on barriers and strategies for promoting locally grown produce from an urban agriculture farm.

PubMed

Hu, Alice; Acosta, Angela; McDaniel, Abigail; Gittelsohn, Joel

2013-01-01

Although much is understood about barriers to healthy food consumption in low-income, urban communities, knowledge regarding the crucial next step of building feasible, community-supported approaches to address those barriers remains limited. This qualitative study used in-depth interviews (n = 20), focus groups (n = 2), and participant observations (n = 3) to identify strategies to promote locally grown produce from an urban food security project, Produce From the Park (PFP), an urban farm. Informants included community organization representatives and residents from low-income neighborhoods in a mid-Atlantic city. Informants identified structural and cultural barriers to purchasing healthy food, including price, location, food culture, and lack of interest. Participants proposed a number of strategies, such as distribution through mobile food carts and farm stands, marketing new foods through taste tests and cooking demonstrations, and youth mentorship. Informants also described their perceptions of the local urban farm and suggested ways to increase community buy-in. Strategies mentioned were inexpensive and incorporated cultural norms and local assets. These community perspectives can provide insights for those promoting healthy eating in urban African American communities through urban food security projects.

Identifying Consumer’s Needs of Health Information Technology through an Innovative Participatory Design Approach among English- and Spanish-speaking Urban Older Adults

PubMed Central

Sheehan, B.; Yen, P.; Velez, O.; Nobile-Hernandez, D.; Tiase, V.

2014-01-01

Summary Objectives We describe an innovative community-centered participatory design approach, Consumer-centered Participatory Design (C2PD), and the results of applying C2PD to design and develop a web-based fall prevention system. Methods We conducted focus groups and design sessions with English- and Spanish-speaking community-dwelling older adults. Focus group data were summarized and used to inform the context of the design sessions. Descriptive content analysis methods were used to develop categorical descriptions of design session informant’s needs related to information technology. Results The C2PD approach enabled the assessment and identification of informant’s needs of health information technology (HIT) that informed the development of a falls prevention system. We learned that our informants needed a system that provides variation in functions/content; differentiates between actionable/non-actionable information/structures; and contains sensory cues that support wide-ranging and complex tasks in a varied, simple, and clear interface to facilitate self-management. Conclusions The C2PD approach provides community-based organizations, academic researchers, and commercial entities with a systematic theoretically informed approach to develop HIT innovations. Our community-centered participatory design approach focuses on consumer’s technology needs while taking into account core public health functions. PMID:25589909

Program factors that influence utilization of adult day care.

PubMed Central

Conrad, K J; Hughes, S L; Wang, S

1992-01-01

Health planners, policymakers, and providers urgently require methods and information that explain the factors that affect health services utilization. This information is especially critical for planning programs that are effective in maintaining the burgeoning elderly population in community care. In this study, correlation and regression analyses examined the characteristics of adult day care (ADC) centers that were associated with utilization as operationalized by demand for and actual attendance in 822 centers. Community, client population, services and activities, and structural characteristics were associated with demand per center whereas the social environment of the ADC center was not. The attendance rate was most strongly affected by services and activities and structural characteristics. The significance of the study, its limitations, and future directions for research are discussed. PMID:1399653

Impact of bio-palladium nanoparticles (bio-Pd NPs) on the activity and structure of a marine microbial community.

PubMed

Nuzzo, Andrea; Hosseinkhani, Baharak; Boon, Nico; Zanaroli, Giulio; Fava, Fabio

2017-01-01

Biogenic palladium nanoparticles (bio-Pd NPs) represent a promising catalyst for organohalide remediation in water and sediments. However, the available information regarding their possible impact in case of release into the environment, particularly on the environmental microbiota, is limited. In this study the toxicity of bio-Pd NPs on the model marine bacterium V. fischeri was assessed. The impacts of different concentrations of bio-Pd NPs on the respiratory metabolisms (i.e. organohalide respiration, sulfate reduction and methanogenesis) and the structure of a PCB-dechlorinating microbial community enriched form a marine sediment were also investigated in microcosms mimicking the actual sampling site conditions. Bio-Pd NPs had no toxic effect on V. fischeri. In addition, they had no significant effects on PCB-dehalogenating activity, while showing a partial, dose-dependent inhibitory effect on sulfate reduction as well as on methanogenesis. No toxic effects by bio-Pd NPs could be also observed on the total bacterial community structure, as its biodiversity was increased compared to the not exposed community. In addition, resilience of the microbial community to bio-Pd NPs exposure was observed, being the final community organization (Gini coefficient) of samples exposed to bio-Pd NPs similar to that of the not exposed one. Considering all the factors evaluated, bio-Pd NPs could be deemed as non-toxic to the marine microbiota in the conditions tested. This is the first study in which the impact of bio-Pd NPs is extensively evaluated over a microbial community in relevant environmental conditions, providing important information for the assessment of their environmental safety. Copyright © 2016 Elsevier Ltd. All rights reserved.

Community Interagency Connections for Immigrant Worker Health Interventions, King County, Washington State, 2012-2013.

PubMed

Tsai, Jenny Hsin-Chin; Petrescu-Prahova, Miruna

2016-06-02

Cross-sector community partnerships are a potentially powerful strategy to address population health problems, including health disparities. US immigrants - commonly employed in low-wage jobs that pose high risks to their health - experience such disparities because of hazardous exposures in the workplace. Hazardous exposures contribute to chronic health problems and complicate disease management. Moreover, prevention strategies such as worksite wellness programs are not effective for low-wage immigrant groups. The purpose of this article was to describe an innovative application of social network analysis to characterize interagency connections and knowledge needed to design and deliver a comprehensive community-based chronic disease prevention program for immigrant workers. Using iterative sample expansion, we identified 42 agencies representing diverse community sectors (service agencies, faith-based organizations, unions, nonprofits, government agencies) pertinent to the health of Chinese immigrant workers. To capture data on shared information, resources, and services as well as organizational characteristics, we jointly interviewed 2 representatives from each agency. We used social network analysis to describe interagency network structure and the positions of agencies within the networks. Agency interconnections were established primarily for information sharing. In the overall interagency network, a few service-oriented agencies held central or gatekeeper positions. Strong interconnectedness occurred predominately across service, public, and nonprofit sectors. The Chinese and Pan-Asian service sectors showed the strongest interconnectedness. Network analysis yields critical understanding of community structural links and assets needed to inform decisions about actual and potential community collaborations. Alternative intervention strategies may be needed to address health disparities among immigrant workers.

Trained student pharmacists' telephonic collection of patient medication information: Evaluation of a structured interview tool.

PubMed

Margolis, Amanda R; Martin, Beth A; Mott, David A

2016-01-01

To determine the feasibility and fidelity of student pharmacists collecting patient medication list information using a structured interview tool and the accuracy of documenting the information. The medication lists were used by a community pharmacist to provide a targeted medication therapy management (MTM) intervention. Descriptive analysis of patient medication lists collected with telephone interviews. Ten trained student pharmacists collected the medication lists. Trained student pharmacists conducted audio-recorded telephone interviews with 80 English-speaking, community-dwelling older adults using a structured interview tool to collect and document medication lists. Feasibility was measured using the number of completed interviews, the time student pharmacists took to collect the information, and pharmacist feedback. Fidelity to the interview tool was measured by assessing student pharmacists' adherence to asking all scripted questions and probes. Accuracy was measured by comparing the audio-recorded interviews to the medication list information documented in an electronic medical record. On average, it took student pharmacists 26.7 minutes to collect the medication lists. The community pharmacist said the medication lists were complete and that having the medication lists saved time and allowed him to focus on assessment, recommendations, and education during the targeted MTM session. Fidelity was high, with an overall proportion of asked scripted probes of 83.75% (95% confidence interval [CI], 80.62-86.88%). Accuracy was also high for both prescription (95.1%; 95% CI, 94.3-95.8%) and nonprescription (90.5%; 95% CI, 89.4-91.4%) medications. Trained student pharmacists were able to use an interview tool to collect and document medication lists with a high degree of fidelity and accuracy. This study suggests that student pharmacists or trained technicians may be able to collect patient medication lists to facilitate MTM sessions in the community pharmacy setting. Evaluating the sustainability of using student pharmacists or trained technicians to collect medication lists is needed. Copyright © 2016 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Trained student pharmacists’ telephonic collection of patient medication information: Evaluation of a structured interview tool

PubMed Central

Margolis, Amanda R.; Martin, Beth A.; Mott, David A.

2016-01-01

Objective To determine the feasibility and fidelity of student pharmacists collecting patient medication list information using a structured interview tool and the accuracy of documenting the information. The medication lists were used by a community pharmacist to provide a targeted medication therapy management (MTM) intervention. Design Descriptive analysis of patient medication lists collected via telephone interviews. Participants 10 trained student pharmacists collected the medication lists. Intervention Trained student pharmacists conducted audio-recorded telephone interviews with 80 English-speaking community dwelling older adults using a structured interview tool to collect and document medication lists. Main outcome measures Feasibility was measured using the number of completed interviews, the time student pharmacists took to collect the information, and pharmacist feedback. Fidelity to the interview tool was measured by assessing student pharmacists’ adherence to asking all scripted questions and probes. Accuracy was measured by comparing the audio recorded interviews to the medication list information documented in an electronic medical record. Results On average it took student pharmacists 26.7 minutes to collect the medication lists. The community pharmacist said the medication lists were complete and that having the medication lists saved time and allowed him to focus on assessment, recommendations, and education during the targeted MTM session. Fidelity was high with an overall proportion of asked scripted probes of 83.75% (95%CI: 80.62–86.88%). Accuracy was also high for both prescription (95.1%, 95%CI: 94.3–95.8%) and non-prescription (90.5%, 95%CI: 89.4–91.4%) medications. Conclusion Trained student pharmacists were able to use an interview tool to collect and document medication lists with a high degree of fidelity and accuracy. This study suggests that student pharmacists or trained technicians may be able to collect patient medication lists to facilitate MTM sessions in the community pharmacy setting. Evaluating the sustainability of using student pharmacists or trained technicians to collect medication lists is needed. PMID:27000165

76 FR 12126 - Agency Information Collection Activities: Submission for OMB Review; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-04

... behavior. All 147 networked crisis centers will complete the Web-based Crisis Center Survey annually. The Survey requests information about organizational structure, staffing, scope of services, call center operations, quality assurance, community outreach/marketing, telephone equipment, data collection, and...

Succession of the functional microbial communities and the metabolic functions in maize straw composting process.

PubMed

Wei, Huawei; Wang, Liuhong; Hassan, Muhammad; Xie, Bing

2018-05-01

Illumina MiSeq sequencing and phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) were applied to study the dynamic changes and effects of microbial community structures as well as the metabolic function of bacterial community in maize straw composting process. Results showed that humic acid contents in loosely combined humus (HA1) and stably combined humus (HA2) increased after composting and Staphylococcus, Cellulosimicrobium and Ochrobactrum possibly participated in the transformation of the process. The bacterial communities differed in different stages of the composting. Firmicutes, Proteobacteria, Bacteroidetes and Actinobacteria were reported the dominant phyla throughout the process and the relative abundance of the dominant phyla varied significantly (p < 0.05) over time. Moreover, the total phosphorus (TP) had the greatest influence on the microbial community structure among C/N ratio, available phosphorus (AP) and humic substances. Metabolism, cellular processes and environmental information processing might be the primary functions of microbial community during the composting. Copyright © 2018 Elsevier Ltd. All rights reserved.

The effect of community stress and problems on psychopathology: A structural equation modeling study.

PubMed

Lyu, Juncheng; Shi, Hong; Wang, Suzhen; Zhang, Jie

2016-02-01

This research aimed to estimate the effect of perceived social factors in the community stress and problems on the residents' psychopathology such as depression and suicidal behaviors. Subjects of this study were the informants (N=1618) in a psychological autopsy (PA) study with a case-control design. We interviewed two informants (a family member and a close friend) for 392 suicides and 416 living controls, which came from 16 rural counties randomly selected from three provinces of China. Community stress and problems were measured by the WHO SUPRE-MISS scale. Depression was measured by CES-D scale, and suicidal behavior was assessed by NCS-R scale. Multivariable liner and logistic regression models and the Structural Equation Modeling (SEM) were applied to probe the correlation of the depression and the suicidal behaviors with some major demographic variables as covariates. It was found that community stress and problems were directly associated with rural Chinese residents' depression (Path coefficient=0.127, P<0.001). There was no direct correlation between community stress and problem and suicidal behaviors, but community stress and problem can affect suicidal behaviors indirectly through depression. The path coefficient between depression and suicidal behaviors was 0.975. The current study predicts a new research viewpoint, that is, the depression is the intermediate between community stress and problem and suicidal behaviors. It might be an effective route to prevent depression directly and suicidal behaviors indirectly by reducing the community stress and problems. Copyright © 2015 Elsevier Inc. All rights reserved.

Inoculation of a phenanthrene-degrading endophytic bacterium reduces the phenanthrene level and alters the bacterial community structure in wheat.

PubMed

Liu, Juan; Xiang, Yanbing; Zhang, Zhiming; Ling, Wanting; Gao, Yanzheng

2017-06-01

Colonization by polycyclic aromatic hydrocarbon (PAH)-degrading endophytic bacteria (PAHDEB) can reduce the PAH contamination risk in plant. However, little information is available on the impact of PAHDEB colonization on the endophytic bacterial community of inner plant tissues. A phenanthrene-degrading endophytic bacterium (PDEB), Massilia sp. Pn2, was inoculated onto the roots of wheat and subjected to greenhouse container experiments. The endophytic bacterial community structure in wheat was investigated using high-throughput sequencing technology. The majority of endophytic bacteria in wheat were Proteobacteria, and the dominant genus was Pseudomonas. Phenanthrene contamination clearly increased the diversity of endophytic bacteria in wheat. The cultivable endophytic bacteria counts in wheat decreased with increasing the level of phenanthrene contamination; the endophytic bacterial community structure changed correspondingly, and the bacterial richness first increased and then decreased. Inoculation of strain Pn2 reduced the phenanthrene contamination in wheat, enlarged the biomass of wheat roots, changed the bacterial community structure and enhanced the cell counts, diversity and richness of endophytic bacteria in phenanthrene-contaminated wheat in a contamination level-dependent manner. The findings of this investigation provide insight into the responses of endophytic bacterial community in plant to external PAH contamination and PAHDEB colonization.

Pathways of information transmission among wild songbirds follow experimentally imposed changes in social foraging structure.

PubMed

Firth, Josh A; Sheldon, Ben C; Farine, Damien R

2016-06-01

Animals regularly use information from others to shape their decisions. Yet, determining how changes in social structure affect information flow and social learning strategies has remained challenging. We manipulated the social structure of a large community of wild songbirds by controlling which individuals could feed together at automated feeding stations (selective feeders). We then provided novel ephemeral food patches freely accessible to all birds and recorded the spread of this new information. We demonstrate that the discovery of new food patches followed the experimentally imposed social structure and that birds disproportionately learnt from those whom they could forage with at the selective feeders. The selective feeders reduced the number of conspecific information sources available and birds subsequently increased their use of information provided by heterospecifics. Our study demonstrates that changes to social systems carry over into pathways of information transfer and that individuals learn from tutors that provide relevant information in other contexts. © 2016 The Authors.

Integration of community structure data reveals observable effects below sediment guideline thresholds in a large estuary.

PubMed

Tremblay, Louis A; Clark, Dana; Sinner, Jim; Ellis, Joanne I

2017-09-20

The sustainable management of estuarine and coastal ecosystems requires robust frameworks due to the presence of multiple physical and chemical stressors. In this study, we assessed whether ecological health decline, based on community structure composition changes along a pollution gradient, occurred at levels below guideline threshold values for copper, zinc and lead. Canonical analysis of principal coordinates (CAP) was used to characterise benthic communities along a metal contamination gradient. The analysis revealed changes in benthic community distribution at levels below the individual guideline values for the three metals. These results suggest that field-based measures of ecological health analysed with multivariate tools can provide additional information to single metal guideline threshold values to monitor large systems exposed to multiple stressors.

Strengthening the Ties That Bind. Industry-Education Councils Benefit Vocational Programs and Businesses.

ERIC Educational Resources Information Center

Clark, Donald M.

1992-01-01

Industry-education councils offer a systematic structure for implementing business-education partnerships, enabling vocational schools to link with the power structure of the employment community. Benefits include materials, equipment, inservice training and internships for teachers, job placement, and career information centers. (SK)

The Structure of Habilitation.

ERIC Educational Resources Information Center

Gibson, David; And Others

1987-01-01

Biographic and program information were related to placement outcomes for 75 mentally retarded adults who had completed a three-year training program and up to three years of subsequent community vocational placement. Results suggested an important role for cognitive variables (symbol management and basic concepts) in the overall structure of…

Organizational Models of Successful Advancement Programs.

ERIC Educational Resources Information Center

Smith, Nanette J.

A study was conducted to determine the organizational factors that were consistent with the success of two-year colleges in obtaining private financial support. Informal telephone surveys were conducted with 15 community colleges with successful endowment and fund-raising programs to gather information about organizational structures and factors…

Indian Hills Community College Vocational Outreach Program: Business/Industry and Indian Hills...Partners in Progress.

ERIC Educational Resources Information Center

Poort, Stephen M.; Williamson, Tom

Structured interviews were conducted by selected vocational education instructors at Indian Hills Community College (IHCC) to determine current and projected employment and training needs of private-sector businesses with 200 employees or less and to assess opinions of IHCC programs. Employers were asked to provide information on the number of…

"Grow Your Own Community College Leaders": How One College Did It. HCCS Leadership Training Institute.

ERIC Educational Resources Information Center

Stone, Connie

The Leadership Training Institute (LTI) at the College without Walls, in Houston, Texas, was created to provide information and training for individuals interested in growing professionally and to establish a structured program for preparing college employees to assume leadership roles in the Houston Community College System. Participants in the…

44 CFR 65.5 - Revision to special hazard area boundaries with no change to base flood elevation determinations.

Code of Federal Regulations, 2011 CFR

2011-10-01

... flood elevation. Scientific and technical information to support a request to gain exclusion from an... hazard. (4) Written assurance by the participating community that they have complied with the appropriate... participating community has determined that the land and any existing or proposed structures to be removed from...

The Status and Prospects of Library/Learning Resource Centers at Michigan Community Colleges.

ERIC Educational Resources Information Center

Platte, James P., Ed.

In 1986, a study was conducted to examine the status of the libraries and learning resource centers (LRC's) at Michigan community colleges. A questionnaire was used to gather background on the colleges, and information on the types and scope of services provided by the libraries/LRC's, their organizational structure, resource allocation, and key…

Microbial community biomass and structure in saline and non-saline soils associated with salt, boran tolerant poplar clones grown for the phytoremediation of selenium

USDA-ARS?s Scientific Manuscript database

The effect of naturally-occurring salts, boron (B), and selenium (Se) on soil microbial community composition associated with plants during different growing seasons used in bioremediation strategies is not known. This information is needed for developing sustainable remediation practices as soil mi...

Portal for Families Overcoming Neurodevelopmental Disorders (PFOND): Implementation of a Software Framework for Facilitated Community Website Creation by Nontechnical Volunteers.

PubMed

Ye, Xin Cynthia; Ng, Isaiah; Seid-Karbasi, Puya; Imam, Tuhina; Lee, Cheryl E; Chen, Shirley Yu; Herman, Adam; Sharma, Balraj; Johal, Gurinder; Gu, Bobby; Wasserman, Wyeth W

2013-08-06

The Portal for Families Overcoming Neurodevelopmental Disorders (PFOND) provides a structured Internet interface for the sharing of information with individuals struggling with the consequences of rare developmental disorders. Large disease-impacted communities can support fundraising organizations that disseminate Web-based information through elegant websites run by professional staff. Such quality resources for families challenged by rare disorders are infrequently produced and, when available, are often dependent upon the continued efforts of a single individual. The project endeavors to create an intuitive Web-based software system that allows a volunteer with limited technical computer skills to produce a useful rare disease website in a short time period. Such a system should provide access to emerging news and research findings, facilitate community participation, present summary information about the disorder, and allow for transient management by volunteers who are likely to change periodically. The prototype portal was implemented using the WordPress software system with both existing and customized supplementary plug-in software modules. Gamification scoring features were implemented in a module, allowing editors to measure progress. The system was installed on a Linux-based computer server, accessible across the Internet through standard Web browsers. A prototype PFOND system was implemented and tested. The prototype system features a structured organization with distinct partitions for background information, recent publications, and community discussions. The software design allows volunteer editors to create a themed website, implement a limited set of topic pages, and connect the software to dynamic RSS feeds providing information about recent news or advances. The prototype was assessed by a fraction of the disease sites developed (8 out of 27), including Aarskog-Scott syndrome, Aniridia, Adams-Oliver syndrome, Cat Eye syndrome, Kabuki syndrome, Leigh syndrome, Peters anomaly, and Rothmund-Thomson syndrome. The editor progress score was used to measure performance for a portion of sites. The PFOND system provides a convenient and structured Internet resource for the facilitated creation of information resources for families confronted by rare disorders. The system empowers volunteers to participate in the creation of quality content, while allowing for the inevitable turnover of contributors over time. The next phase of PFOND development will focus on volunteer participation in system development and community engagement.

Portal for Families Overcoming Neurodevelopmental Disorders (PFOND): Implementation of a Software Framework for Facilitated Community Website Creation by Nontechnical Volunteers

PubMed Central

Imam, Tuhina; Lee, Cheryl E; Chen, Shirley Yu; Herman, Adam; Sharma, Balraj; Johal, Gurinder; Gu, Bobby

2013-01-01

Background The Portal for Families Overcoming Neurodevelopmental Disorders (PFOND) provides a structured Internet interface for the sharing of information with individuals struggling with the consequences of rare developmental disorders. Large disease-impacted communities can support fundraising organizations that disseminate Web-based information through elegant websites run by professional staff. Such quality resources for families challenged by rare disorders are infrequently produced and, when available, are often dependent upon the continued efforts of a single individual. Objective The project endeavors to create an intuitive Web-based software system that allows a volunteer with limited technical computer skills to produce a useful rare disease website in a short time period. Such a system should provide access to emerging news and research findings, facilitate community participation, present summary information about the disorder, and allow for transient management by volunteers who are likely to change periodically. Methods The prototype portal was implemented using the WordPress software system with both existing and customized supplementary plug-in software modules. Gamification scoring features were implemented in a module, allowing editors to measure progress. The system was installed on a Linux-based computer server, accessible across the Internet through standard Web browsers. Results A prototype PFOND system was implemented and tested. The prototype system features a structured organization with distinct partitions for background information, recent publications, and community discussions. The software design allows volunteer editors to create a themed website, implement a limited set of topic pages, and connect the software to dynamic RSS feeds providing information about recent news or advances. The prototype was assessed by a fraction of the disease sites developed (8 out of 27), including Aarskog-Scott syndrome, Aniridia, Adams-Oliver syndrome, Cat Eye syndrome, Kabuki syndrome, Leigh syndrome, Peters anomaly, and Rothmund-Thomson syndrome. The editor progress score was used to measure performance for a portion of sites. Conclusions The PFOND system provides a convenient and structured Internet resource for the facilitated creation of information resources for families confronted by rare disorders. The system empowers volunteers to participate in the creation of quality content, while allowing for the inevitable turnover of contributors over time. The next phase of PFOND development will focus on volunteer participation in system development and community engagement. PMID:23920006

Community Structure in Social Networks: Applications for Epidemiological Modelling

PubMed Central

Kitchovitch, Stephan; Liò, Pietro

2011-01-01

During an infectious disease outbreak people will often change their behaviour to reduce their risk of infection. Furthermore, in a given population, the level of perceived risk of infection will vary greatly amongst individuals. The difference in perception could be due to a variety of factors including varying levels of information regarding the pathogen, quality of local healthcare, availability of preventative measures, etc. In this work we argue that we can split a social network, representing a population, into interacting communities with varying levels of awareness of the disease. We construct a theoretical population and study which such communities suffer most of the burden of the disease and how their awareness affects the spread of infection. We aim to gain a better understanding of the effects that community-structured networks and variations in awareness, or risk perception, have on the disease dynamics and to promote more community-resolved modelling in epidemiology. PMID:21789238

Exploring structural violence in the context of disability and poverty in Zimbabwe

PubMed Central

2017-01-01

Background While it is widely assumed that disability, poverty and health are closely linked, research falls short of fully understanding the link. One approach to analysing the links between disability and poverty is through the concept of structural violence, referring to social structures that contribute to the impoverishment of individuals or communities. These structures can be political, ecological, legal and economic, among others. Objective To explore structural violence and how it affects families of children with cerebral palsy among the Tonga ethnic group living in poor rural communities of Binga in Zimbabwe. Method This is a longitudinal, qualitative and ethnographic study. Data were collected over a period of eight years from 2005 to 2013. Data collection techniques were in-depth interviews, participant observation and focus group discussions. Purposive sampling was used to recruit 53 informants. Results Structural violence was noted through four themes: internal displacement and development, food and politics, water and sanitation, and social services. Poverty was noted in the form of unemployment, lack of education, healthcare, food and shelter. The concept of structural violence inflicted social suffering on the informants. Politics played a major role in activities such as food withdrawal, lack of water, development and allocation of local resources to ‘the people of the city’, leaving the informants struggling with care. Conclusion Political and economic forces have structured risks and created a situation of extreme human suffering. The capabilities approach brings out the challenges associated with cerebral palsy in the context of development challenges. PMID:28730065

Exploring structural violence in the context of disability and poverty in Zimbabwe.

PubMed

Muderedzi, Jennifer T; Eide, Arne H; Braathen, Stine H; Stray-Pedersen, Babill

2017-01-01

While it is widely assumed that disability, poverty and health are closely linked, research falls short of fully understanding the link. One approach to analysing the links between disability and poverty is through the concept of structural violence, referring to social structures that contribute to the impoverishment of individuals or communities. These structures can be political, ecological, legal and economic, among others. To explore structural violence and how it affects families of children with cerebral palsy among the Tonga ethnic group living in poor rural communities of Binga in Zimbabwe. This is a longitudinal, qualitative and ethnographic study. Data were collected over a period of eight years from 2005 to 2013. Data collection techniques were in-depth interviews, participant observation and focus group discussions. Purposive sampling was used to recruit 53 informants. Structural violence was noted through four themes: internal displacement and development, food and politics, water and sanitation, and social services. Poverty was noted in the form of unemployment, lack of education, healthcare, food and shelter. The concept of structural violence inflicted social suffering on the informants. Politics played a major role in activities such as food withdrawal, lack of water, development and allocation of local resources to 'the people of the city', leaving the informants struggling with care. Political and economic forces have structured risks and created a situation of extreme human suffering. The capabilities approach brings out the challenges associated with cerebral palsy in the context of development challenges.

Effects of Dimers on Cooperation in the Spatial Prisoner's Dilemma Game

NASA Astrophysics Data System (ADS)

Li, Hai-Hong; Cheng, Hong-Yan; Dai, Qiong-Lin; Ju, Ping; Zhang, Mei; Yang, Jun-Zhong

2011-11-01

We investigate the evolutionary prisoner's dilemma game in structured populations by introducing dimers, which are defined as that two players in each dimer always hold a same strategy. We find that influences of dimers on cooperation depend on the type of dimers and the population structure. For those dimers in which players interact with each other, the cooperation level increases with the number of dimers though the cooperation improvement level depends on the type of network structures. On the other hand, the dimers, in which there are not mutual interactions, will not do any good to the cooperation level in a single community, but interestingly, will improve the cooperation level in a population with two communities. We explore the relationship between dimers and self-interactions and find that the effects of dimers are similar to that of self-interactions. Also, we find that the dimers, which are established over two communities in a multi-community network, act as one type of interaction through which information between communities is communicated by the requirement that two players in a dimer hold a same strategy.

Pre-genomic, genomic and post-genomic study of microbial communities involved in bioenergy.

PubMed

Rittmann, Bruce E; Krajmalnik-Brown, Rosa; Halden, Rolf U

2008-08-01

Microorganisms can produce renewable energy in large quantities and without damaging the environment or disrupting food supply. The microbial communities must be robust and self-stabilizing, and their essential syntrophies must be managed. Pre-genomic, genomic and post-genomic tools can provide crucial information about the structure and function of these microbial communities. Applying these tools will help accelerate the rate at which microbial bioenergy processes move from intriguing science to real-world practice.

Biogeography and Biodiversity in Sulfide Structures of Active and Inactive Vents at Deep-Sea Hydrothermal Fields of the Southern Mariana Trough▿ †

PubMed Central

Kato, Shingo; Takano, Yoshinori; Kakegawa, Takeshi; Oba, Hironori; Inoue, Kazuhiko; Kobayashi, Chiyori; Utsumi, Motoo; Marumo, Katsumi; Kobayashi, Kensei; Ito, Yuki; Ishibashi, Jun-ichiro; Yamagishi, Akihiko

2010-01-01

The abundance, diversity, activity, and composition of microbial communities in sulfide structures both of active and inactive vents were investigated by culture-independent methods. These sulfide structures were collected at four hydrothermal fields, both on- and off-axis of the back-arc spreading center of the Southern Mariana Trough. The microbial abundance and activity in the samples were determined by analyzing total organic content, enzymatic activity, and copy number of the 16S rRNA gene. To assess the diversity and composition of the microbial communities, 16S rRNA gene clone libraries including bacterial and archaeal phylotypes were constructed from the sulfide structures. Despite the differences in the geological settings among the sampling points, phylotypes related to the Epsilonproteobacteria and cultured hyperthermophilic archaea were abundant in the libraries from the samples of active vents. In contrast, the relative abundance of these phylotypes was extremely low in the libraries from the samples of inactive vents. These results suggest that the composition of microbial communities within sulfide structures dramatically changes depending on the degree of hydrothermal activity, which was supported by statistical analyses. Comparative analyses suggest that the abundance, activity and diversity of microbial communities within sulfide structures of inactive vents are likely to be comparable to or higher than those in active vent structures, even though the microbial community composition is different between these two types of vents. The microbial community compositions in the sulfide structures of inactive vents were similar to those in seafloor basaltic rocks rather than those in marine sediments or the sulfide structures of active vents, suggesting that the microbial community compositions on the seafloor may be constrained by the available energy sources. Our findings provide helpful information for understanding the biogeography, biodiversity and microbial ecosystems in marine environments. PMID:20228114

Beginning a partnership with PhotoVoice to explore environmental health and health inequities in minority communities.

PubMed

Kovacic, Melinda Butsch; Stigler, Sara; Smith, Angela; Kidd, Alexis; Vaughn, Lisa M

2014-10-27

Research informs action, but the challenge is its translation into practice. The 2012-2017 National Institute of Environmental Health Sciences Strategic Plan emphasizes partnership with community stakeholders to capture critical missing information about the effects of environment on health and to improve translation of study results, a daunting task for many traditionally-trained researchers. To better understand economic and neighborhood context consistent with these goals as well as existing inequities, we needed access to a highly affected community to inform and participate in our research. Our team therefore undertook a PhotoVoice project as a first step in establishing a participatory partnership and to appreciate the lived experiences of and build trust with youth visiting an urban community center in a high-risk, low-income, African American neighborhood located along a busy, polluted interstate. Ten 8-13 years-olds represented their community's perspectives through photographs over 14-weeks using structured questioning. Five themes emerged: poor eating habits/inadequate nutrition; safety/violence; family/friends/community support; future hopes/dreams; and garbage/environment. Public viewings of the photos/captions facilitated engagement of other community agencies and multidisciplinary academic faculties to work together to build a sustainable "community collaboratory" that will promote health at the center by providing families knowledge/skills to prevent/minimize environmental exposures via diet/lifestyle changes using community-engaged, citizen scientist and systems thinking approaches.

Community Detection in Signed Networks: the Role of Negative ties in Different Scales

PubMed Central

Esmailian, Pouya; Jalili, Mahdi

2015-01-01

Extracting community structure of complex network systems has many applications from engineering to biology and social sciences. There exist many algorithms to discover community structure of networks. However, it has been significantly under-explored for networks with positive and negative links as compared to unsigned ones. Trying to fill this gap, we measured the quality of partitions by introducing a Map Equation for signed networks. It is based on the assumption that negative relations weaken positive flow from a node towards a community, and thus, external (internal) negative ties increase the probability of staying inside (escaping from) a community. We further extended the Constant Potts Model, providing a map spectrum for signed networks. Accordingly, a partition is selected through balancing between abridgment and expatiation of a signed network. Most importantly, multi-scale spectrum of signed networks revealed how informative are negative ties in different scales, and quantified the topological placement of negative ties between dense positive ones. Moreover, an inconsistency was found in the signed Modularity: as the number of negative ties increases, the density of positive ties is neglected more. These results shed lights on the community structure of signed networks. PMID:26395815

A job analysis of community health workers in the context of integrated nutrition and early child development.

PubMed

Phuka, John; Maleta, Kenneth; Thomas, Mavuto; Gladstone, Melisa

2014-01-01

Stunting and poor child development are major public health concerns in Malawi. Integrated nutrition and early child development (ECD) interventions have shown potential to reduce stunting, but it is not known how these integrated approaches can be implemented in Malawi. In this paper, we aimed to evaluate the current jobs status of community health workers and their potential to implement integrated approaches. This was accomplished by a desk review of nutrition and ECD policy documents, as well as interviews with key informants, community health workers, and community members. We found that Malawi has comprehensive policies and well-outlined coordination structures for nutrition and ECD that advocate for integrated approaches. Strong multidisciplinary interaction exists at central levels but not at the community level. Integration of community health workers from different sectors is limited by workload, logistics, and a lack of synchronized work schedules. Favorable, sound policies and well-outlined coordination structures alone are not enough for the establishment of integrated nutrition and ECD activities. Balanced bureaucratic structures, improved task allocation, and synchronization of work schedules across all relevant sectors are needed for integrated intervention in Malawi. © 2014 New York Academy of Sciences.

[Community structure and diversity of culturable moderate halophilic bacteria isolated from Qrhan salt lake on Qinghai-Tibet Plateau].

PubMed

Shen, Shuo

2017-04-04

I studied the community structure and diversity of culturable moderate halophilic bacteria isolated from Qrhan Salt Lake. I isolated and cultured the moderate halophilic bacteria on different selective media. After the 16S rRNA gene sequences was amplified and measured, I constructed the phylogenic tree, analyzed the community structure and calculated the diversity indexes according to the 16S rRNA gene information. A total of 421 moderate halophilic bacteria were isolated from water and mud samples in Qrhan Salt Lake. The 16S rRNA gene information showed that 4 potential novel species belonged to the family Bacillaceae. Eighty-three model strains belonged to 3 phylurms 6 families 16 genus. Among them, Bacillus sp., Oceanobacillus sp. and Halomonas sp. were dominant species. Diversity analysis showed that the diversity of strains isolated from water sample was higher than that from mud sample, but the dominance degree of strains isolated from mud sample was higher than that from water sample. The genetic diversity of moderate halophilic bacteria isolated from Qrhan Salt Lake was abundant. Also, there were dominant and novel species of culturable moderate halophilic bacteria in this lake.

Knowledge exchange in the Pacific: The TROPIC (Translational Research into Obesity Prevention Policies for Communities) project

PubMed Central

2012-01-01

Background Policies targeting obesogenic environments and behaviours are critical to counter rising obesity rates and lifestyle-related non-communicable diseases (NCDs). Policies are likely to be most effective and enduring when they are based on the best available evidence. Evidence-informed policy making is especially challenging in countries with limited resources. The Pacific TROPIC (Translational Research for Obesity Prevention in Communities) project aims to implement and evaluate a tailored knowledge-brokering approach to evidence-informed policy making to address obesity in Fiji, a Pacific nation challenged by increasingly high rates of obesity and concomitant NCDs. Methods The TROPIC project draws on the concept of ‘knowledge exchange’ between policy developers (individuals; organisations) and researchers to deliver a knowledge broking programme that maps policy environments, conducts workshops on evidence-informed policy making, supports the development of evidence-informed policy briefs, and embeds evidence-informed policy making into organisational culture. Recruitment of government and nongovernment organisational representatives will be based on potential to: develop policies relevant to obesity, reach broad audiences, and commit to resourcing staff and building a culture that supports evidence-informed policy development. Workshops will increase awareness of both obesity and policy cycles, as well as develop participants’ skills in accessing, assessing and applying relevant evidence to policy briefs. The knowledge-broking team will then support participants to: 1) develop evidence-informed policy briefs that are both commensurate with national and organisational plans and also informed by evidence from the Pacific Obesity Prevention in Communities project and elsewhere; and 2) collaborate with participating organisations to embed evidence-informed policy making structures and processes. This knowledge broking initiative will be evaluated via data from semi-structured interviews, a validated self-assessment tool, process diaries and outputs. Discussion Public health interventions have rarely targeted evidence-informed policy making structures and processes to reduce obesity and NCDs. This study will empirically advance understanding of knowledge broking processes to extend evidence-informed policy making skills and develop a suite of national obesity-related policies that can potentially improve population health outcomes. PMID:22830984

A methodology for decisionmaking in project evaluation in land management planning

Treesearch

A. Weintraub

1978-01-01

In order to evaluate alternative plans, wildland management planners must consider many objectives, such as timber production, recreational use, and community stability. The method presented utilizes the type of qualitative and intuitive information widely available to wildland management planners, and structures this information into a format suitable for...

Query-Time Optimization Techniques for Structured Queries in Information Retrieval

ERIC Educational Resources Information Center

Cartright, Marc-Allen

2013-01-01

The use of information retrieval (IR) systems is evolving towards larger, more complicated queries. Both the IR industrial and research communities have generated significant evidence indicating that in order to continue improving retrieval effectiveness, increases in retrieval model complexity may be unavoidable. From an operational perspective,…

Understanding Crisis Information Needs in Context: The Case of Intimate Partner Violence Survivors

ERIC Educational Resources Information Center

Westbrook, Lynn

2008-01-01

The pervasive, personal crisis of intimate partner violence (IPV) demands community information resources in workforce, health care, mental health, public housing, criminal justice, and social service arenas. Although generally underutilized, public libraries have a pivotal role to play as the only public institution specifically structured to…

25 CFR 292.20 - What information must the consultation letter include?

Code of Federal Regulations, 2010 CFR

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false What information must the consultation letter include? 292.20 Section 292.20 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR ECONOMIC... impacts on the social structure, infrastructure, services, housing, community character, and land use...

78 FR 5793 - Agency Information Collection Activities; Comment Request; Evaluation of State Expanded Learning...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-28

...; Comment Request; Evaluation of State Expanded Learning Time AGENCY: Department of Education (ED), IES... State Expanded Learning Time. OMB Control Number: 1850-New. Type of Review: New information collection... conduct semi-structured interviews with 21st Century Community Learning Centers (21st CCLC) state...

Fragmenting networks by targeting collective influencers at a mesoscopic level.

PubMed

Kobayashi, Teruyoshi; Masuda, Naoki

2016-11-25

A practical approach to protecting networks against epidemic processes such as spreading of infectious diseases, malware, and harmful viral information is to remove some influential nodes beforehand to fragment the network into small components. Because determining the optimal order to remove nodes is a computationally hard problem, various approximate algorithms have been proposed to efficiently fragment networks by sequential node removal. Morone and Makse proposed an algorithm employing the non-backtracking matrix of given networks, which outperforms various existing algorithms. In fact, many empirical networks have community structure, compromising the assumption of local tree-like structure on which the original algorithm is based. We develop an immunization algorithm by synergistically combining the Morone-Makse algorithm and coarse graining of the network in which we regard a community as a supernode. In this way, we aim to identify nodes that connect different communities at a reasonable computational cost. The proposed algorithm works more efficiently than the Morone-Makse and other algorithms on networks with community structure.

Fragmenting networks by targeting collective influencers at a mesoscopic level

NASA Astrophysics Data System (ADS)

Kobayashi, Teruyoshi; Masuda, Naoki

2016-11-01

A practical approach to protecting networks against epidemic processes such as spreading of infectious diseases, malware, and harmful viral information is to remove some influential nodes beforehand to fragment the network into small components. Because determining the optimal order to remove nodes is a computationally hard problem, various approximate algorithms have been proposed to efficiently fragment networks by sequential node removal. Morone and Makse proposed an algorithm employing the non-backtracking matrix of given networks, which outperforms various existing algorithms. In fact, many empirical networks have community structure, compromising the assumption of local tree-like structure on which the original algorithm is based. We develop an immunization algorithm by synergistically combining the Morone-Makse algorithm and coarse graining of the network in which we regard a community as a supernode. In this way, we aim to identify nodes that connect different communities at a reasonable computational cost. The proposed algorithm works more efficiently than the Morone-Makse and other algorithms on networks with community structure.

Fragmenting networks by targeting collective influencers at a mesoscopic level

PubMed Central

Kobayashi, Teruyoshi; Masuda, Naoki

2016-01-01

A practical approach to protecting networks against epidemic processes such as spreading of infectious diseases, malware, and harmful viral information is to remove some influential nodes beforehand to fragment the network into small components. Because determining the optimal order to remove nodes is a computationally hard problem, various approximate algorithms have been proposed to efficiently fragment networks by sequential node removal. Morone and Makse proposed an algorithm employing the non-backtracking matrix of given networks, which outperforms various existing algorithms. In fact, many empirical networks have community structure, compromising the assumption of local tree-like structure on which the original algorithm is based. We develop an immunization algorithm by synergistically combining the Morone-Makse algorithm and coarse graining of the network in which we regard a community as a supernode. In this way, we aim to identify nodes that connect different communities at a reasonable computational cost. The proposed algorithm works more efficiently than the Morone-Makse and other algorithms on networks with community structure. PMID:27886251

A critical review on the interaction of substrate nutrient balance and microbial community structure and function in anaerobic co-digestion.

PubMed

Xu, Rong; Zhang, Kai; Liu, Pu; Khan, Aman; Xiong, Jian; Tian, Fake; Li, Xiangkai

2018-01-01

Anaerobic co-digestion generally results in a higher yield of biogas than mono-digestion, hence co-digestion has become a topic of general interest in recent studies of anaerobic digestion. Compared with mono-digestion, co-digestion utilizes multiple substrates. The balance of substrate nutrient in co-digestion comprises better adjustments of C/N ratio, pH, moisture, trace elements, and dilution of toxic substances. All of these changes could result in positive shifts in microbial community structure and function in the digestion processes and consequent augmentation of biogas production. Nevertheless, there have been few reviews on the interaction of nutrient and microbial community in co-digestions. The objective of this review is to investigate recent achievements and perspectives on the interaction of substrate nutrient balance and microbial community structure and function. This may provide valuable information on the optimization of combinations of substrates and prediction of bioreactor performance. Copyright © 2017 Elsevier Ltd. All rights reserved.

Cultural Psychiatry: A Spotlight on the Experience of Clinical Social Workers' Encounter with Jewish Ultra-Orthodox Mental Health Clients.

PubMed

Freund, Anat; Band-Winterstein, Tova

2017-07-01

Community is a complex issue, especially in two particular populations overlap: Haredi society, which embraces cultural codes common to closed communities, and the mental health population characterized by its own unique needs. The present study explores the encounter experience of social workers with the cultural perceptions of mental health clients in the Haredi community in light of Community Cultural Psychiatry. A qualitative-phenomenological approach was adopted. In-depth semi-structured interviews were conducted with 27 social workers, mental health professionals, who are in contact with ultra-Orthodox Jewish clients. Three major themes emerged from the data analysis: (1) Exclusion vs. grace and compassion. (2) Mental health: A professional or cultural arena? (3) Mental health help-seeking changing processes. This study shows that the attitude in the Haredi community toward mental health therapy undergoes a process of change. It is important to strengthen this process, together with preserving existing community informal structures of help.

From Awareness to Action: The Community of Sarnia Mobilizes to Protect its Workers from Occupational Disease.

PubMed

Kramer, Desre; McMillan, Keith; Gross, Emily; Kone Pefoyo, Anna J; Bradley, Mike; Holness, Dorothy Linn

2015-11-01

An exploratory qualitative case study investigated how different sectors of a highly industrialized community mobilized in the 1990s to help workers exposed to asbestos. For this study, thirty key informants including representatives from industry, workers, the community, and local politicians participated in semi-structured interviews and focus groups. The analysis was framed by a "Dimensions of Community Change" model. The informants highlighted the importance of raising awareness, and the need for leadership, social and organizational networks, acquiring skills and resources, individual and community power, holding shared values and beliefs, and perseverance. We found that improvements in occupational health and safety came from persistently communicating a clearly defined issue ("asbestos exposure causes cancer") and having an engaged community that collaborated with union leadership. Notable successes included stronger occupational health services, a support group for workers and widows, the fast-tracking of compensation for workers exposed to asbestos, and a reduction in hazardous emissions. © The Author(s) 2015.

Eighth DOD/NASA/FAA Conference on Fibrous Composites in Structural Design, Part 2

NASA Technical Reports Server (NTRS)

Starnes, James H., Jr. (Compiler); Bohon, Herman L. (Compiler); Garzon, Sherry B. (Compiler)

1990-01-01

Papers presented at the conference are compiled. The conference provided a forum for the scientific community to exchange composite structures design information and an opportunity to observe recent progress in composite structures design and technology. Part 2 contains papers related to the following subject areas: the application in design; methodology in design; and reliability in design.

Community representation in hospital decision making: a literature review.

PubMed

Murray, Zoë

2015-06-01

Advancing quality in health services requires structures and processes that are informed by consumer input. Although this agenda is well recognised, few researchers have focussed on the establishment and maintenance of customer input throughout the structures and processes used to produce high-quality, safe care. We present an analysis of literature outlining the barriers and enablers involved in community representation in hospital governance. The review aimed to explore how community representation in hospital governance is achieved. Studies spanning 1997-2012 were analysed using Donabedian' s model of quality systems as a guide for categories of interest: structure, in relation to administration of quality; process, which is particularly concerned with cooperation and culture; and outcome, considered, in this case, to be the achievement of effective community representation on quality of care. There are limited published studies on community representation in hospital governance in Australia. What can be gleaned from the literature is: 1) quality subcommittees set up to assist Hospital Boards are a key structure for involving community representation in decision making around quality of care, and 2) there are a number of challenges to effectively developing the process of community representation in hospital governance: ambiguity and the potential for escalated indecision; inadequate value and consideration given to it by decision makers resulting in a lack of time and resources needed to support the community engagement strategy (time, facilitation, budgets); poor support and attitude amongst staff; and consumer issues, such as feeling isolated and intimidated by expert opinion. The analysis indicates that: quality subcommittees set up to assist boards are a key structure for involving community representation in decision making around quality of care. There are clearly a number of challenges to effectively developing the process of community representation in hospital governance, associated with ambiguity, organisational and consumer issues. For an inclusive agenda to real life, work must be done on understanding the representatives' role and the decision making process, adequately supporting the representational process, and developing organisational cooperation and culture regarding community representation.

Detection of Anomalous Insiders in Collaborative Environments via Relational Analysis of Access Logs

PubMed Central

Chen, You; Malin, Bradley

2014-01-01

Collaborative information systems (CIS) are deployed within a diverse array of environments, ranging from the Internet to intelligence agencies to healthcare. It is increasingly the case that such systems are applied to manage sensitive information, making them targets for malicious insiders. While sophisticated security mechanisms have been developed to detect insider threats in various file systems, they are neither designed to model nor to monitor collaborative environments in which users function in dynamic teams with complex behavior. In this paper, we introduce a community-based anomaly detection system (CADS), an unsupervised learning framework to detect insider threats based on information recorded in the access logs of collaborative environments. CADS is based on the observation that typical users tend to form community structures, such that users with low a nity to such communities are indicative of anomalous and potentially illicit behavior. The model consists of two primary components: relational pattern extraction and anomaly detection. For relational pattern extraction, CADS infers community structures from CIS access logs, and subsequently derives communities, which serve as the CADS pattern core. CADS then uses a formal statistical model to measure the deviation of users from the inferred communities to predict which users are anomalies. To empirically evaluate the threat detection model, we perform an analysis with six months of access logs from a real electronic health record system in a large medical center, as well as a publicly-available dataset for replication purposes. The results illustrate that CADS can distinguish simulated anomalous users in the context of real user behavior with a high degree of certainty and with significant performance gains in comparison to several competing anomaly detection models. PMID:25485309

Innovative approaches to promoting cervical health and raising cervical cancer awareness by use of existing cultural structures in resource-limited countries: experiences with traditional marriage counseling in Zambia.

PubMed

Kapambwe, Sharon; Parham, Groesbeck; Mwanahamuntu, Mulindi; Chirwa, Susan; Mwanza, Jacob; Amuyunzu-Nyamongo, Mary

2013-12-01

The Cervical Cancer Prevention Program in Zambia (CCPPZ) has increasingly used community-level structures to increase the uptake and ensure the sustainability of the program. Traditional marriage counselors, the alangizi, who have existed in the Zambian society for many years, are one of the structures used by the program to impart cervical cancer knowledge and increase access to screening and care using an existing community structure. Several steps were followed in developing this intervention: (a) ensuring the alangizi understood the process of screening by encouraging them to go through the screening process; (b) workshops were arranged for the alangizi to meet and share experiences during which lessons were given on cervical cancer by health workers as well; and (c) eight alangizi were chosen to help document the lessons as part of ensuring that cervical cancer information is accurate and passed in a consistent manner. Over 70 alangizi, who had undergone cervical cancer screening, were trained by CCPPZ. A 'Cervical Cancer Training Manual for Marriage Counsellors' was developed to help the alangizi integrate cervical cancer lessons in their routine teachings. An evaluation was conducted during the training of the alangizi that forms the basis for this paper. The results show that although the alangizi face key challenges in their work (e.g. changing social contexts), they are still considered relevant by most communities in Zambia and are potentially an important avenue for cervical cancer and other health information. This paper shows that it is possible to integrate sexual and reproductive health messages into existing structures in the community. However, it is important to design culturally specific and sensitive healthcare strategies that embrace locally accepted good practices.

Vaccine Hesitancy and Online Information: The Influence of Digital Networks.

PubMed

Getman, Rebekah; Helmi, Mohammad; Roberts, Hal; Yansane, Alfa; Cutler, David; Seymour, Brittany

2017-12-01

This article analyzes the digital childhood vaccination information network for vaccine-hesitant parents. The goal of this study was to explore the structure and influence of vaccine-hesitant content online by generating a database and network analysis of vaccine-relevant content. We used Media Cloud, a searchable big-data platform of over 550 million stories from 50,000 media sources, for quantitative and qualitative study of an online media sample based on keyword selection. We generated a hyperlink network map and measured indegree centrality of the sources and vaccine sentiment for a random sample of 450 stories. 28,122 publications from 4,817 sources met inclusion criteria. Clustered communities formed based on shared hyperlinks; communities tended to link within, not among, each other. The plurality of information was provaccine (46.44%, 95% confidence interval [39.86%, 53.20%]). The most influential sources were in the health community (National Institutes of Health, Centers for Disease Control and Prevention) or mainstream media ( New York Times); some user-generated sources also had strong influence and were provaccine (Wikipedia). The vaccine-hesitant community rarely interacted with provaccine content and simultaneously used primary provaccine content within vaccine-hesitant narratives. The sentiment of the overall conversation was consistent with scientific evidence. These findings demonstrate an online environment where scientific evidence online drives vaccine information outside of the vaccine-hesitant community but is also prominently used and misused within the robust vaccine-hesitant community. Future communication efforts should take current context into account; more information may not prevent vaccine hesitancy.

Creating Structured Collaboration in Implementing Assistive Technologies in a Community College Setting: Library Access, A Case Study.

ERIC Educational Resources Information Center

Norris, Marcia; Vasquez, Laurie

This paper discusses the role of libraries as the hub of information literacy in college and the need for professional collaboration to ensure library access for students with disabilities at California community college campuses. A working plan for developing assistive technology (AT) capabilities is provided which includes the following steps:…

Between Individual Agency and Structure in HIV Prevention: Understanding the Middle Ground of Social Practice

PubMed Central

Kippax, Susan; Parker, Richard G.; Aggleton, Peter

2013-01-01

When HIV prevention targets risk and vulnerability, it focuses on individual agency and social structures, ignoring the centrality of community in effective HIV prevention. The neoliberal concept of risk assumes individuals are rational agents who act on information provided to them regarding HIV transmission. This individualistic framework does not recognize the communities in which people act and connect. The concept of vulnerability on the other hand acknowledges the social world, but mainly as social barriers that make it difficult for individuals to act. Neither approach to HIV prevention offers understanding of community practices or collective agency, both central to success in HIV prevention to date. Drawing on examples of the social transformation achieved by community action in Australia and Brazil, this article focuses on this middle ground and its role in effective HIV prevention. PMID:23763397

Between individual agency and structure in HIV prevention: understanding the middle ground of social practice.

PubMed

Kippax, Susan; Stephenson, Niamh; Parker, Richard G; Aggleton, Peter

2013-08-01

When HIV prevention targets risk and vulnerability, it focuses on individual agency and social structures, ignoring the centrality of community in effective HIV prevention. The neoliberal concept of risk assumes individuals are rational agents who act on information provided to them regarding HIV transmission. This individualistic framework does not recognize the communities in which people act and connect. The concept of vulnerability on the other hand acknowledges the social world, but mainly as social barriers that make it difficult for individuals to act. Neither approach to HIV prevention offers understanding of community practices or collective agency, both central to success in HIV prevention to date. Drawing on examples of the social transformation achieved by community action in Australia and Brazil, this article focuses on this middle ground and its role in effective HIV prevention.

Community detection, link prediction, and layer interdependence in multilayer networks.

PubMed

De Bacco, Caterina; Power, Eleanor A; Larremore, Daniel B; Moore, Cristopher

2017-04-01

Complex systems are often characterized by distinct types of interactions between the same entities. These can be described as a multilayer network where each layer represents one type of interaction. These layers may be interdependent in complicated ways, revealing different kinds of structure in the network. In this work we present a generative model, and an efficient expectation-maximization algorithm, which allows us to perform inference tasks such as community detection and link prediction in this setting. Our model assumes overlapping communities that are common between the layers, while allowing these communities to affect each layer in a different way, including arbitrary mixtures of assortative, disassortative, or directed structure. It also gives us a mathematically principled way to define the interdependence between layers, by measuring how much information about one layer helps us predict links in another layer. In particular, this allows us to bundle layers together to compress redundant information and identify small groups of layers which suffice to predict the remaining layers accurately. We illustrate these findings by analyzing synthetic data and two real multilayer networks, one representing social support relationships among villagers in South India and the other representing shared genetic substring material between genes of the malaria parasite.

Community detection, link prediction, and layer interdependence in multilayer networks

NASA Astrophysics Data System (ADS)

De Bacco, Caterina; Power, Eleanor A.; Larremore, Daniel B.; Moore, Cristopher

2017-04-01

Complex systems are often characterized by distinct types of interactions between the same entities. These can be described as a multilayer network where each layer represents one type of interaction. These layers may be interdependent in complicated ways, revealing different kinds of structure in the network. In this work we present a generative model, and an efficient expectation-maximization algorithm, which allows us to perform inference tasks such as community detection and link prediction in this setting. Our model assumes overlapping communities that are common between the layers, while allowing these communities to affect each layer in a different way, including arbitrary mixtures of assortative, disassortative, or directed structure. It also gives us a mathematically principled way to define the interdependence between layers, by measuring how much information about one layer helps us predict links in another layer. In particular, this allows us to bundle layers together to compress redundant information and identify small groups of layers which suffice to predict the remaining layers accurately. We illustrate these findings by analyzing synthetic data and two real multilayer networks, one representing social support relationships among villagers in South India and the other representing shared genetic substring material between genes of the malaria parasite.

Using a trauma-informed policy approach to create a resilient urban food system.

PubMed

Hecht, Amelie A; Biehl, Erin; Buzogany, Sarah; Neff, Roni A

2018-07-01

Food insecurity is associated with toxic stress and adverse long-term physical and mental health outcomes. It can be experienced chronically and also triggered or exacerbated by natural and human-made hazards that destabilize the food system. The Baltimore Food System Resilience Advisory Report was created to strengthen the resilience of the city's food system and improve short- and long-term food security. Recognizing food insecurity as a form of trauma, the report was developed using the principles of trauma-informed social policy. In the present paper, we examine how the report applied trauma-informed principles to policy development, discuss the challenges and benefits of using a trauma-informed approach, and provide recommendations for others seeking to create trauma-informed food policy. Report recommendations were developed based on: semi-structured interviews with food system stakeholders; input from community members at outreach events; a literature review; Geographic Information System mapping; and other analyses. The present paper explores findings from the stakeholder interviews. Baltimore, Maryland, USA. Baltimore food system stakeholders stratified by two informant categories: organizations focused on promoting food access (n 13) and community leaders (n 12). Stakeholder interviews informed the recommendations included in the report and supported the idea that chronic and acute food insecurity are experienced as trauma in the Baltimore community. Applying a trauma-informed approach to the development of the Baltimore Food System Resilience Advisory Report contributed to policy recommendations that were community-informed and designed to lessen the traumatic impact of food insecurity.

Sources of Information on HIV and Sexual and Reproductive Health for Couples Living with HIV in Rural Southern Malawi

PubMed Central

Gombachika, Belinda Chimphamba; Chirwa, Ellen; Malata, Address; Maluwa, Alfred

2013-01-01

With wider access to antiretroviral therapy, people living with HIV are reconsidering their reproductive decisions: remarrying and having children. The purpose of the paper is to explore sources of information for reproductive decision used by couples living with HIV in patrilineal and matrilineal districts of Malawi. Data were collected from forty couples from July to December 2010. Our results illuminate five specific issues: some of the informants (1) remarry after divorce/death of a spouse, (2) establish new marriage relationship with spouses living with HIV, and (3) have children hence the need for information to base their decisions. There are (4) shared and interactive couple decisions, and (5) informal networks of people living with HIV are the main sources of information. In addition, in matrilineal community, cultural practices about remarriage set up structures that constrained information availability unlike in patrilineal community where information on sexual and reproductive health, HIV, and AIDS was disseminated during remarriage counselling. However, both sources are not able to provide comprehensive information due to complexity and lack of up to date information. Therefore, health workers should, offer people living with HIV comprehensive information that takes into consideration the cultural specificity of groups, and empower already existing and accepted local structures with sexual and reproductive health, HIV, and AIDS knowledge. PMID:23662206

Engaging, Recruiting, and Retaining Black Men Who Have Sex With Men in Research Studies: Don’t Underestimate the Importance of Staffing—Lessons Learned From HPTN 061, the BROTHERS Study

PubMed Central

Magnus, Manya; Franks, Julie; Griffith, Sam; Arnold, Michael P.; Goodman, Krista; Wheeler, Darrell P.

2014-01-01

Context HIV/AIDS in the United States continues to primarily impact men who have sex with men (MSM), with disproportionately high rates among black MSM. Objective The purpose of this study was to identify factors that may influence engagement and retention of black MSM in HIV research. Design and Participants This was a qualitative evaluation of study implementation within a multisite, prospective, observational study (HIV Prevention Trials Network 061, BROTHERS) that enrolled 1553 black MSM in 6 cities throughout the United States. Data collection for this evaluation included a written, structured survey collected from each of the sites describing site characteristics including staff and organizational structure, reviews of site standard operating procedures, and work plans; semistructured key informant interviews were conducted with site coordinators to characterize staffing, site-level factors facilitating or impeding effective community engagement, study recruitment, and retention. Data from completed surveys and site standard operating procedures were collated, and notes from key informant interviews were thematically coded for content by 2 independent reviewers. Results Several key themes emerged from the data, including the importance of inclusion of members of the community being studied as staff, institutional hiring practices that support inclusive staffing, cultivating a supportive working environment for study implementation, and ongoing relationships between research institutions and community. Conclusions This study underscores the importance of staffing in implementing research with black MSM. Investigators should consider how staffing and organizational structures affect implementation during study design and when preparing to initiate study activities. Ongoing monitoring of community engagement can inform and improve methods for engagement and ensure cultural relevance while removing barriers for participation. PMID:24406940

Engaging, recruiting, and retaining black men who have sex with men in research studies: don't underestimate the importance of staffing--lessons learned from HPTN 061, the BROTHERS study.

PubMed

Magnus, Manya; Franks, Julie; Griffith, Sam; Arnold, Michael P; Goodman, Krista; Wheeler, Darrell P

2014-01-01

HIV/AIDS in the United States continues to primarily impact men who have sex with men (MSM), with disproportionately high rates among black MSM. The purpose of this study was to identify factors that may influence engagement and retention of black MSM in HIV research. This was a qualitative evaluation of study implementation within a multisite, prospective, observational study (HIV Prevention Trials Network 061, BROTHERS) that enrolled 1553 black MSM in 6 cities throughout the United States. Data collection for this evaluation included a written, structured survey collected from each of the sites describing site characteristics including staff and organizational structure, reviews of site standard operating procedures, and work plans; semistructured key informant interviews were conducted with site coordinators to characterize staffing, site-level factors facilitating or impeding effective community engagement, study recruitment, and retention. Data from completed surveys and site standard operating procedures were collated, and notes from key informant interviews were thematically coded for content by 2 independent reviewers. Several key themes emerged from the data, including the importance of inclusion of members of the community being studied as staff, institutional hiring practices that support inclusive staffing, cultivating a supportive working environment for study implementation, and ongoing relationships between research institutions and community. This study underscores the importance of staffing in implementing research with black MSM. Investigators should consider how staffing and organizational structures affect implementation during study design and when preparing to initiate study activities. Ongoing monitoring of community engagement can inform and improve methods for engagement and ensure cultural relevance while removing barriers for participation.

The optimal community detection of software based on complex networks

NASA Astrophysics Data System (ADS)

Huang, Guoyan; Zhang, Peng; Zhang, Bing; Yin, Tengteng; Ren, Jiadong

2016-02-01

The community structure is important for software in terms of understanding the design patterns, controlling the development and the maintenance process. In order to detect the optimal community structure in the software network, a method Optimal Partition Software Network (OPSN) is proposed based on the dependency relationship among the software functions. First, by analyzing the information of multiple execution traces of one software, we construct Software Execution Dependency Network (SEDN). Second, based on the relationship among the function nodes in the network, we define Fault Accumulation (FA) to measure the importance of the function node and sort the nodes with measure results. Third, we select the top K(K=1,2,…) nodes as the core of the primal communities (only exist one core node). By comparing the dependency relationships between each node and the K communities, we put the node into the existing community which has the most close relationship. Finally, we calculate the modularity with different initial K to obtain the optimal division. With experiments, the method OPSN is verified to be efficient to detect the optimal community in various softwares.

Towards Online Multiresolution Community Detection in Large-Scale Networks

PubMed Central

Huang, Jianbin; Sun, Heli; Liu, Yaguang; Song, Qinbao; Weninger, Tim

2011-01-01

The investigation of community structure in networks has aroused great interest in multiple disciplines. One of the challenges is to find local communities from a starting vertex in a network without global information about the entire network. Many existing methods tend to be accurate depending on a priori assumptions of network properties and predefined parameters. In this paper, we introduce a new quality function of local community and present a fast local expansion algorithm for uncovering communities in large-scale networks. The proposed algorithm can detect multiresolution community from a source vertex or communities covering the whole network. Experimental results show that the proposed algorithm is efficient and well-behaved in both real-world and synthetic networks. PMID:21887325

Receivers matter: the meaning of alarm calls and competition for nest sites in a bird community.

PubMed

Parejo, Deseada; Avilés, Jesús M; Expósito-Granados, Mónica

2018-04-11

Animal communities may constitute information networks where individuals gain information on predation risk by eavesdropping on alarm calls of other species. However, communities include species in different trophic levels, and it is not yet known how the trophic level of the receiver influences the informative value of a call. Furthermore, no empirical study has yet tested how increased competition may influence the value of alarm calls for distinct receivers. Here, we identify the importance of alarm calls emitted by a small owl, the little owl (Athene noctua), on the structure of a cavity-nesting bird community including mesopredators and primary prey under variable levels of competition for nest holes. Competitors sharing top predators with the callers and prey of the callers interpreted alarm and non-alarm calls differently. Competitors chose preferentially alarm and non-alarm patches over control patches to breed, while prey selected alarm patches. In contrast, competition for nest sites affected habitat selection of prey species more than that of competitors of the callers. This study provides support for a changing value of alarm calls and competition for nest sites for distinct receivers related to niche overlapping among callers and eavesdroppers, therefore, calling attention to possible cascading effects by the use of information in natural communities.

Community pharmacists' knowledge, attitudes and practices towards herbal remedies in Riyadh, Saudi Arabia.

PubMed

Alkharfy, K M

2010-09-01

There is an increasing trend towards consumption of complementary and alternative herbal products in many parts of the world. A cross-sectional sample of 115 community pharmacists in Riyadh, Saudi Arabia was visited and information on knowledge, attitudes and practices towards herbal remedies was collected using a structured questionnaire. All pharmacists acknowledged dispensing herbal products through their pharmacies. Ginseng was the most widely used product (47%), followed by ginkgo (23%), valerian (17%) and S.t John's wort (3.5%). In general, pharmacists had poor awareness about potential herb-drug interactions. While 56% of participating pharmacists expressed concerns about the safety of herbal remedies, 30% considered them to be harmless. Community pharmacists need to be better informed about herbal products.

Data publication with the structural biology data grid supports live analysis

DOE PAGES

Meyer, Peter A.; Socias, Stephanie; Key, Jason; ...

2016-03-07

Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of themore » original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. In conclusion, it is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis.« less

Data publication with the structural biology data grid supports live analysis

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

Meyer, Peter A.; Socias, Stephanie; Key, Jason

Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of themore » original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. In conclusion, it is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis.« less

Data publication with the structural biology data grid supports live analysis.

PubMed

Meyer, Peter A; Socias, Stephanie; Key, Jason; Ransey, Elizabeth; Tjon, Emily C; Buschiazzo, Alejandro; Lei, Ming; Botka, Chris; Withrow, James; Neau, David; Rajashankar, Kanagalaghatta; Anderson, Karen S; Baxter, Richard H; Blacklow, Stephen C; Boggon, Titus J; Bonvin, Alexandre M J J; Borek, Dominika; Brett, Tom J; Caflisch, Amedeo; Chang, Chung-I; Chazin, Walter J; Corbett, Kevin D; Cosgrove, Michael S; Crosson, Sean; Dhe-Paganon, Sirano; Di Cera, Enrico; Drennan, Catherine L; Eck, Michael J; Eichman, Brandt F; Fan, Qing R; Ferré-D'Amaré, Adrian R; Fromme, J Christopher; Garcia, K Christopher; Gaudet, Rachelle; Gong, Peng; Harrison, Stephen C; Heldwein, Ekaterina E; Jia, Zongchao; Keenan, Robert J; Kruse, Andrew C; Kvansakul, Marc; McLellan, Jason S; Modis, Yorgo; Nam, Yunsun; Otwinowski, Zbyszek; Pai, Emil F; Pereira, Pedro José Barbosa; Petosa, Carlo; Raman, C S; Rapoport, Tom A; Roll-Mecak, Antonina; Rosen, Michael K; Rudenko, Gabby; Schlessinger, Joseph; Schwartz, Thomas U; Shamoo, Yousif; Sondermann, Holger; Tao, Yizhi J; Tolia, Niraj H; Tsodikov, Oleg V; Westover, Kenneth D; Wu, Hao; Foster, Ian; Fraser, James S; Maia, Filipe R N C; Gonen, Tamir; Kirchhausen, Tom; Diederichs, Kay; Crosas, Mercè; Sliz, Piotr

2016-03-07

Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. It is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis.

Data publication with the structural biology data grid supports live analysis

PubMed Central

Meyer, Peter A.; Socias, Stephanie; Key, Jason; Ransey, Elizabeth; Tjon, Emily C.; Buschiazzo, Alejandro; Lei, Ming; Botka, Chris; Withrow, James; Neau, David; Rajashankar, Kanagalaghatta; Anderson, Karen S.; Baxter, Richard H.; Blacklow, Stephen C.; Boggon, Titus J.; Bonvin, Alexandre M. J. J.; Borek, Dominika; Brett, Tom J.; Caflisch, Amedeo; Chang, Chung-I; Chazin, Walter J.; Corbett, Kevin D.; Cosgrove, Michael S.; Crosson, Sean; Dhe-Paganon, Sirano; Di Cera, Enrico; Drennan, Catherine L.; Eck, Michael J.; Eichman, Brandt F.; Fan, Qing R.; Ferré-D'Amaré, Adrian R.; Christopher Fromme, J.; Garcia, K. Christopher; Gaudet, Rachelle; Gong, Peng; Harrison, Stephen C.; Heldwein, Ekaterina E.; Jia, Zongchao; Keenan, Robert J.; Kruse, Andrew C.; Kvansakul, Marc; McLellan, Jason S.; Modis, Yorgo; Nam, Yunsun; Otwinowski, Zbyszek; Pai, Emil F.; Pereira, Pedro José Barbosa; Petosa, Carlo; Raman, C. S.; Rapoport, Tom A.; Roll-Mecak, Antonina; Rosen, Michael K.; Rudenko, Gabby; Schlessinger, Joseph; Schwartz, Thomas U.; Shamoo, Yousif; Sondermann, Holger; Tao, Yizhi J.; Tolia, Niraj H.; Tsodikov, Oleg V.; Westover, Kenneth D.; Wu, Hao; Foster, Ian; Fraser, James S.; Maia, Filipe R. N C.; Gonen, Tamir; Kirchhausen, Tom; Diederichs, Kay; Crosas, Mercè; Sliz, Piotr

2016-01-01

Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. It is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis. PMID:26947396

Rhetorical Structures in Academic Research Writing by Non-Native Writers

ERIC Educational Resources Information Center

Suryani, Ina; Kamaruddin, H.; Hashima, Noor; Yaacob, Aizan; Rashid, Salleh Abd; Desa, Hazry

2014-01-01

Writers of research articles are expected to present research information in a structured manner by following a certain rhetorical patterns determined by the discourse community. Failures to keep to the writing standard and rhetorical pattern are likely to lower the acceptance rate. While producing a research article is understandably a complex…

The Duality of Information Policy Debates: The Case of the Internet Governance Forum

ERIC Educational Resources Information Center

Epstein, Dmitry

2012-01-01

This project focuses on the dynamics of the Internet Governance Forum (IGF) as a non-binding multistakeholder debate about information policymaking. Using the theory of structuration and critical discourse analysis, I explore how the nation-state-centric and the internet-community-centric perceptions of authority and approaches to decision-making…

Foreign Language Methods and an Information Processing Model of Memory.

ERIC Educational Resources Information Center

Willebrand, Julia

The major approaches to language teaching (audiolingual method, generative grammar, Community Language Learning and Silent Way) are investigated to discover whether or not they are compatible in structure with an information-processing model of memory (IPM). The model of memory used was described by Roberta Klatzky in "Human Memory:…

Social and structural aspects of the overdose risk environment in St. Petersburg, Russia.

PubMed

Green, Traci C; Grau, Lauretta E; Blinnikova, Ksenia N; Torban, Mikhail; Krupitsky, Evgeny; Ilyuk, Ruslan; Kozlov, Andrei; Heimer, Robert

2009-05-01

While overdose is a common cause of mortality among opioid injectors worldwide, little information exists on opioid overdoses or how context may influence overdose risk in Russia. This study sought to uncover social and structural aspects contributing to fatal overdose risk in St. Petersburg and assess prevention intervention feasibility. Twenty-one key informant interviews were conducted with drug users, treatment providers, toxicologists, police, and ambulance staff. Thematic coding of interview content was conducted to elucidate elements of the overdose risk environment. Several factors within St. Petersburg's environment were identified as shaping illicit drug users' risk behaviours and contributing to conditions of suboptimal response to overdose in the community. Most drug users live and experience overdoses at home, where family and home environment may mediate or moderate risk behaviours. The overdose risk environment is also worsened by inefficient emergency response infrastructure, insufficient cardiopulmonary or naloxone training resources, and the preponderance of abstinence-based treatment approaches to the exclusion of other treatment modalities. However, attitudes of drug users and law enforcement officials generally support overdose prevention intervention feasibility. Modifiable aspects of the risk environment suggest community-based and structural interventions, including overdose response training for drug users and professionals that encompasses naloxone distribution to the users and equipping more ambulances with naloxone. Local social and structural elements influence risk environments for overdose. Interventions at the community and structural levels to prevent and respond to opioid overdoses are needed for and integral to reducing overdose mortality in St. Petersburg.

Domestic Violence and Social Justice: A Structural Intersectional Framework for Teaching About Domestic Violence.

PubMed

Coker, Donna

2016-10-01

My Domestic Violence and Social Justice law school course is organized around a structural intersectional framework to encourage students to recognize how structural inequalities inform the types of abuse perpetrated, individual and community responses to abuse, meanings that a victim ascribes to abuse, and factors that increase the risk of abuse. The course challenges the dominant neoliberal ideology focus on individual responsibility that eclipses shared responsibility. The course combines experiential exercises, a presentation by members of a community-based survivor organization, discussion of a hypothetical case with a legal practitioner, and court observation to help students apply theoretical insights to practical issues of individual representation and policy-making. © The Author(s) 2016.

Characterization, Microbial Community Structure, and Pathogen Occurrence in Urban Faucet Biofilms in South China

PubMed Central

Lin, Huirong; Zhang, Shuting; Gong, Song; Zhang, Shenghua; Yu, Xin

2015-01-01

The composition and microbial community structure of the drinking water system biofilms were investigated using microstructure analysis and 454 pyrosequencing technique in Xiamen city, southeast of China. SEM (scanning electron microscope) results showed different features of biofilm morphology in different fields of PVC pipe. Extracellular matrix material and sparse populations of bacteria (mainly rod-shaped and coccoid) were observed. CLSM (confocal laser scanning microscope) revealed different distributions of attached cells, extracellular proteins, α-polysaccharides, and β-polysaccharides. The biofilms had complex bacterial compositions. Differences in bacteria diversity and composition from different tap materials and ages were observed. Proteobacteria was the common and predominant group in all biofilms samples. Some potential pathogens (Legionellales, Enterobacteriales, Chromatiales, and Pseudomonadales) and corrosive microorganisms were also found in the biofilms. This study provides the information of characterization and visualization of the drinking water biofilms matrix, as well as the microbial community structure and opportunistic pathogens occurrence. PMID:26273617

Aquarium Microbiome Response to Ninety-Percent System Water Change: Clues to Microbiome Management

PubMed Central

Van Bonn, William; LaPointe, Allen; Gibbons, Sean M.; Frazier, Angel; Hampton-Marcell, Jarrad; Gilbert, Jack

2016-01-01

The bacterial community composition and structure of water from an established teleost fish system was examined before, during and after a major water change to explore the impact of such a water-change disturbance on the stability of the aquarium water microbiome. The diversity and evenness of the bacterial community significantly increased following the 90% water replacement. While the change in bacterial community structure was significant, it was slight, and was also weakly correlated with changes in physicochemical parameters. Interestingly there was a significant shift in the correlative network relationships between operational taxonomic units from before to after the water replacement. We suggest this shift in network structure is due to the turnover of many taxa during the course of water replacement. These observations will inform future studies into manipulation of the microbiome by changing system environmental parameter values to optimize resident animal health. PMID:26031788

Aquarium microbiome response to ninety-percent system water change: Clues to microbiome management.

PubMed

Van Bonn, William; LaPointe, Allen; Gibbons, Sean M; Frazier, Angel; Hampton-Marcell, Jarrad; Gilbert, Jack

2015-01-01

The bacterial community composition and structure of water from an established teleost fish system was examined before, during and after a major water change to explore the impact of such a water-change disturbance on the stability of the aquarium water microbiome. The diversity and evenness of the bacterial community significantly increased following the 90% water replacement. While the change in bacterial community structure was significant, it was slight, and was also weakly correlated with changes in physicochemical parameters. Interestingly there was a significant shift in the correlative network relationships between operational taxonomic units from before to after the water replacement. We suggest this shift in network structure is due to the turnover of many taxa during the course of water replacement. These observations will inform future studies into manipulation of the microbiome by changing system environmental parameter values to optimize resident animal health. © 2015 Wiley Periodicals, Inc.

Using Shared Online Blogs to Structure and Support Informal Coach Learning--Part 1: A Tool to Promote Reflection and Communities of Practice

ERIC Educational Resources Information Center

Stoszkowski, John; Collins, Dave

2017-01-01

Coaches' apparent preferences for informal and self-directed modes of learning have been highlighted in the literature. Consequently, there is a need for innovative coach education approaches that complement these clearly preferred, informal routes and better provide coaches with the professional skills they need to deal with the complex nature of…

Use of Electronic Journals in Astronomy and Astrophysics Libraries and Information Centres in India: A Librarians' Perspective

NASA Astrophysics Data System (ADS)

Pathak, S. K.; Deshpande, N. J.; Rai, V.

2010-10-01

The objectives of this study were to find out whether librarians are satisfied with the present infrastructure for electronic journals and also to find out whether librarians are taking advantage of consortia. A structured questionnaire for librarians was divided into eight parts which were further sub-divided and designed to get information on various aspects of library infrastructure and usage of electronic journals. The goal was to find out the basic minimum infrastructure needed to provide access to electronic journals to a community of users and to facilitate communication in all major astronomy & astrophysics organizations in India. The study aims to highlight key insights from responses of librarians who are responsible for managing astronomy & astrophysics libraries in India and to identify the information needs of the users. Each community and discipline will have its own specific legacy of journal structure, reading, publishing, and researching practices, and time will show which kinds of e-journals are most effective and useful.

Assessment of Anaerobic Metabolic Activity and Microbial Diversity in a Petroleum-Contaminated Aquifer Using Push-Pull Tests in Combination With Molecular Tools and Stable Isotopes

NASA Astrophysics Data System (ADS)

Schroth, M. H.; Kleikemper, J.; Pombo, S. A.; Zeyer, J.

2002-12-01

In the past, studies on microbial communities in natural environments have typically focused on either their structure or on their metabolic function. However, linking structure and function is important for understanding microbial community dynamics, in particular in contaminated environments. We will present results of a novel combination of a hydrogeological field method (push-pull tests) with molecular tools and stable isotope analysis, which was employed to quantify anaerobic activities and associated microbial diversity in a petroleum-contaminated aquifer in Studen, Switzerland. Push-pull tests consisted of the injection of test solution containing a conservative tracer and reactants (electron acceptors, 13C-labeled carbon sources) into the aquifer anoxic zone. Following an incubation period, the test solution/groundwater mixture was extracted from the same location. Metabolic activities were computed from solute concentrations measured during extraction. Simultaneously, microbial diversity in sediment and groundwater was characterized by using fluorescence in situ hybridization (FISH), denaturing gradient gel electrophoresis (DGGE), as well as phospholipids fatty acid (PLFA) analysis in combination with 13C isotopic measurements. Results from DGGE analyses provided information on the general community structure before, during and after the tests, while FISH yielded information on active populations. Moreover, using 13C-labeling of microbial PLFA we were able to directly link carbon source assimilation in an aquifer to indigenous microorganisms while providing quantitative information on respective carbon source consumption.

Accurate detection of hierarchical communities in complex networks based on nonlinear dynamical evolution

NASA Astrophysics Data System (ADS)

Zhuo, Zhao; Cai, Shi-Min; Tang, Ming; Lai, Ying-Cheng

2018-04-01

One of the most challenging problems in network science is to accurately detect communities at distinct hierarchical scales. Most existing methods are based on structural analysis and manipulation, which are NP-hard. We articulate an alternative, dynamical evolution-based approach to the problem. The basic principle is to computationally implement a nonlinear dynamical process on all nodes in the network with a general coupling scheme, creating a networked dynamical system. Under a proper system setting and with an adjustable control parameter, the community structure of the network would "come out" or emerge naturally from the dynamical evolution of the system. As the control parameter is systematically varied, the community hierarchies at different scales can be revealed. As a concrete example of this general principle, we exploit clustered synchronization as a dynamical mechanism through which the hierarchical community structure can be uncovered. In particular, for quite arbitrary choices of the nonlinear nodal dynamics and coupling scheme, decreasing the coupling parameter from the global synchronization regime, in which the dynamical states of all nodes are perfectly synchronized, can lead to a weaker type of synchronization organized as clusters. We demonstrate the existence of optimal choices of the coupling parameter for which the synchronization clusters encode accurate information about the hierarchical community structure of the network. We test and validate our method using a standard class of benchmark modular networks with two distinct hierarchies of communities and a number of empirical networks arising from the real world. Our method is computationally extremely efficient, eliminating completely the NP-hard difficulty associated with previous methods. The basic principle of exploiting dynamical evolution to uncover hidden community organizations at different scales represents a "game-change" type of approach to addressing the problem of community detection in complex networks.

Qualifying variability: patterns in water quality and biota from a long-term, multi-stream dataset

Treesearch

Camille Flinders; Douglas McLaughlin

2016-01-01

Effective water resources assessment and management requires quantitative information on the variability of ambient and biological conditions in aquatic communities. Although it is understood that natural systems are variable, robust estimates of variation in water quality and biotic endpoints (e.g. community-based structure and function metrics) are rare in US waters...

C-ME: A 3D Community-Based, Real-Time Collaboration Tool for Scientific Research and Training

PubMed Central

Kolatkar, Anand; Kennedy, Kevin; Halabuk, Dan; Kunken, Josh; Marrinucci, Dena; Bethel, Kelly; Guzman, Rodney; Huckaby, Tim; Kuhn, Peter

2008-01-01

The need for effective collaboration tools is growing as multidisciplinary proteome-wide projects and distributed research teams become more common. The resulting data is often quite disparate, stored in separate locations, and not contextually related. Collaborative Molecular Modeling Environment (C-ME) is an interactive community-based collaboration system that allows researchers to organize information, visualize data on a two-dimensional (2-D) or three-dimensional (3-D) basis, and share and manage that information with collaborators in real time. C-ME stores the information in industry-standard databases that are immediately accessible by appropriate permission within the computer network directory service or anonymously across the internet through the C-ME application or through a web browser. The system addresses two important aspects of collaboration: context and information management. C-ME allows a researcher to use a 3-D atomic structure model or a 2-D image as a contextual basis on which to attach and share annotations to specific atoms or molecules or to specific regions of a 2-D image. These annotations provide additional information about the atomic structure or image data that can then be evaluated, amended or added to by other project members. PMID:18286178

Research on energy stock market associated network structure based on financial indicators

NASA Astrophysics Data System (ADS)

Xi, Xian; An, Haizhong

2018-01-01

A financial market is a complex system consisting of many interacting units. In general, due to the various types of information exchange within the industry, there is a relationship between the stocks that can reveal their clear structural characteristics. Complex network methods are powerful tools for studying the internal structure and function of the stock market, which allows us to better understand the stock market. Applying complex network methodology, a stock associated network model based on financial indicators is created. Accordingly, we set threshold value and use modularity to detect the community network, and we analyze the network structure and community cluster characteristics of different threshold situations. The study finds that the threshold value of 0.7 is the abrupt change point of the network. At the same time, as the threshold value increases, the independence of the community strengthens. This study provides a method of researching stock market based on the financial indicators, exploring the structural similarity of financial indicators of stocks. Also, it provides guidance for investment and corporate financial management.

Evaluation of a pilot promotora program for Latino forest workers in southern Oregon.

PubMed

Bush, Diane E; Wilmsen, Carl; Sasaki, Timothy; Barton-Antonio, Dinorah; Steege, Andrea L; Chang, Charlotte

2014-07-01

Forest work, an occupation with some of the highest injury and illness rates, is conducted primarily by Latino immigrant workers. This study evaluates a pilot program where promotoras (lay community health educators) provided occupational health and safety trainings for Latino forest workers. Evaluation methods included a focus group, post-tests, and qualitative feedback. Community capacity to address working conditions increased through (i) increased leadership and community access to information and resources; and (ii) increased worker awareness of workplace health and safety rights and resources. Fear of retaliation remains a barrier to workers taking action; nevertheless, the promotoras supported several workers in addressing-specific workplace issues. For working conditions to significantly improve, major structural influences need to be addressed. A long-term, organizationally supported promotora program can play a key role in linking and supporting change at the individual, interpersonal and community levels, contributing to and supporting structural change. © 2014 Wiley Periodicals, Inc.

Online Community Detection for Large Complex Networks

PubMed Central

Pan, Gang; Zhang, Wangsheng; Wu, Zhaohui; Li, Shijian

2014-01-01

Complex networks describe a wide range of systems in nature and society. To understand complex networks, it is crucial to investigate their community structure. In this paper, we develop an online community detection algorithm with linear time complexity for large complex networks. Our algorithm processes a network edge by edge in the order that the network is fed to the algorithm. If a new edge is added, it just updates the existing community structure in constant time, and does not need to re-compute the whole network. Therefore, it can efficiently process large networks in real time. Our algorithm optimizes expected modularity instead of modularity at each step to avoid poor performance. The experiments are carried out using 11 public data sets, and are measured by two criteria, modularity and NMI (Normalized Mutual Information). The results show that our algorithm's running time is less than the commonly used Louvain algorithm while it gives competitive performance. PMID:25061683

Evolution of Wikipedia’s medical content: past, present and future

PubMed Central

Kipersztok, Lisa

2017-01-01

As one of the most commonly read online sources of medical information, Wikipedia is an influential public health platform. Its medical content, community, collaborations and challenges have been evolving since its creation in 2001, and engagement by the medical community is vital for ensuring its accuracy and completeness. Both the encyclopaedia’s internal metrics as well as external assessments of its quality indicate that its articles are highly variable, but improving. Although content can be edited by anyone, medical articles are primarily written by a core group of medical professionals. Diverse collaborative ventures have enhanced medical article quality and reach, and opportunities for partnerships are more available than ever. Nevertheless, Wikipedia’s medical content and community still face significant challenges, and a socioecological model is used to structure specific recommendations. We propose that the medical community should prioritise the accuracy of biomedical information in the world’s most consulted encyclopaedia. PMID:28847845

GPU-Meta-Storms: computing the structure similarities among massive amount of microbial community samples using GPU.

PubMed

Su, Xiaoquan; Wang, Xuetao; Jing, Gongchao; Ning, Kang

2014-04-01

The number of microbial community samples is increasing with exponential speed. Data-mining among microbial community samples could facilitate the discovery of valuable biological information that is still hidden in the massive data. However, current methods for the comparison among microbial communities are limited by their ability to process large amount of samples each with complex community structure. We have developed an optimized GPU-based software, GPU-Meta-Storms, to efficiently measure the quantitative phylogenetic similarity among massive amount of microbial community samples. Our results have shown that GPU-Meta-Storms would be able to compute the pair-wise similarity scores for 10 240 samples within 20 min, which gained a speed-up of >17 000 times compared with single-core CPU, and >2600 times compared with 16-core CPU. Therefore, the high-performance of GPU-Meta-Storms could facilitate in-depth data mining among massive microbial community samples, and make the real-time analysis and monitoring of temporal or conditional changes for microbial communities possible. GPU-Meta-Storms is implemented by CUDA (Compute Unified Device Architecture) and C++. Source code is available at http://www.computationalbioenergy.org/meta-storms.html.

Advancing system and policy changes for social and racial justice: comparing a Rural and Urban Community-Based Participatory Research Partnership in the U.S.

PubMed

Devia, Carlos; Baker, Elizabeth A; Sanchez-Youngman, Shannon; Barnidge, Ellen; Golub, Maxine; Motton, Freda; Muhammad, Michael; Ruddock, Charmaine; Vicuña, Belinda; Wallerstein, Nina

2017-02-21

The paper examines the role of community-based participatory research (CBPR) within the context of social justice literature and practice. Two CBPR case studies addressing health inequities related to Type 2 Diabetes and Cardiovascular disease were selected from a national cross-site study assessing effective academic-community research partnerships. One CBPR partnership works with African Americans in rural Pemiscot County, Missouri and the other CBPR partnership works with African American and Latinos in urban South Bronx, New York City. Data collection included semi-structured key informant interviews and focus groups. Analysis focused on partnerships' context/history and their use of multiple justice-oriented strategies to achieve systemic and policy changes in order to address social determinants of health in their communities. Community context and history shaped each partnership's strategies to address social determinants. Four social justice approaches (identity/recognition, procedural, distributive, and structural justice) used by both partnerships were identified. These social justice approaches were employed to address underlying causes of inequitable distribution of resources and power structures, while remaining within a scientific research framework. CBPR can bridge the role of science with civic engagement and political participation, empowering community members to become political agents who integrate evidence into their social justice organizing strategies.

Structure of Infaunal Communities on the Beaufort Sea Shelf and Slope: Insights from Morphological and Environmental DNA Sequencing Approaches

NASA Astrophysics Data System (ADS)

Hardy, S. M.; Bik, H.; Walker, A.; Sharma, J.; Blanchard, A.

2016-02-01

Rapid change is occurring in the Arctic concurrently with increased human activity, yet our knowledge of the structure and function of high-Arctic sediment communities is still rudimentary. The Beaufort Sea is particularly poorly sampled, and largely unexplored at slope depths, providing little information with which to assess the impacts of petroleum exploration activities now beginning in this area. We are investigating diversity and community structure of meio- and macrobenthic infauna on the continental shelf and slope of the Beaufort Sea across a range of depths (50 to 1000 m) using traditional taxonomic and environmental DNA sequencing approaches, and comparing results to additional sites in the adjacent NE Chukchi Sea petroleum lease-sale area. The Beaufort slope is topographically complex and characterized by an east-west gradient in benthic habitat characteristics, with heavy input of terrestrial organic matter particularly in the region of the Mackenzie River delta. Warmer, saltier subsurface Atlantic water masses impact benthic communities at mid-slope depths, likely influencing turnover in community structure observed with depth. Food resources are variable across the region, with very high sediment chlorophyll concentrations at 350 m depth in some areas. Differences in nematode assemblages were detected across the Beaufort Sea shelf/slope, across depths within the Beaufort Sea, and between the Beaufort and adjacent NE Chukchi Sea. These differences were apparent in both morphological and environmental sequencing data. Macrofaunal communities showed variable community structure among transects, with high abundance and high dominance in polychaete assemblages coincident with the chlorophyll maximum. Sequencing data also revealed an abundance of protists in sediments which have been mostly ignored in studies of ecosystem dynamics in this region, and may represent an important component of the food web.

Think locally, act locally: detection of small, medium-sized, and large communities in large networks.

PubMed

Jeub, Lucas G S; Balachandran, Prakash; Porter, Mason A; Mucha, Peter J; Mahoney, Michael W

2015-01-01

It is common in the study of networks to investigate intermediate-sized (or "meso-scale") features to try to gain an understanding of network structure and function. For example, numerous algorithms have been developed to try to identify "communities," which are typically construed as sets of nodes with denser connections internally than with the remainder of a network. In this paper, we adopt a complementary perspective that communities are associated with bottlenecks of locally biased dynamical processes that begin at seed sets of nodes, and we employ several different community-identification procedures (using diffusion-based and geodesic-based dynamics) to investigate community quality as a function of community size. Using several empirical and synthetic networks, we identify several distinct scenarios for "size-resolved community structure" that can arise in real (and realistic) networks: (1) the best small groups of nodes can be better than the best large groups (for a given formulation of the idea of a good community); (2) the best small groups can have a quality that is comparable to the best medium-sized and large groups; and (3) the best small groups of nodes can be worse than the best large groups. As we discuss in detail, which of these three cases holds for a given network can make an enormous difference when investigating and making claims about network community structure, and it is important to take this into account to obtain reliable downstream conclusions. Depending on which scenario holds, one may or may not be able to successfully identify "good" communities in a given network (and good communities might not even exist for a given community quality measure), the manner in which different small communities fit together to form meso-scale network structures can be very different, and processes such as viral propagation and information diffusion can exhibit very different dynamics. In addition, our results suggest that, for many large realistic networks, the output of locally biased methods that focus on communities that are centered around a given seed node (or set of seed nodes) might have better conceptual grounding and greater practical utility than the output of global community-detection methods. They also illustrate structural properties that are important to consider in the development of better benchmark networks to test methods for community detection.

Think locally, act locally: Detection of small, medium-sized, and large communities in large networks

NASA Astrophysics Data System (ADS)

Jeub, Lucas G. S.; Balachandran, Prakash; Porter, Mason A.; Mucha, Peter J.; Mahoney, Michael W.

2015-01-01

It is common in the study of networks to investigate intermediate-sized (or "meso-scale") features to try to gain an understanding of network structure and function. For example, numerous algorithms have been developed to try to identify "communities," which are typically construed as sets of nodes with denser connections internally than with the remainder of a network. In this paper, we adopt a complementary perspective that communities are associated with bottlenecks of locally biased dynamical processes that begin at seed sets of nodes, and we employ several different community-identification procedures (using diffusion-based and geodesic-based dynamics) to investigate community quality as a function of community size. Using several empirical and synthetic networks, we identify several distinct scenarios for "size-resolved community structure" that can arise in real (and realistic) networks: (1) the best small groups of nodes can be better than the best large groups (for a given formulation of the idea of a good community); (2) the best small groups can have a quality that is comparable to the best medium-sized and large groups; and (3) the best small groups of nodes can be worse than the best large groups. As we discuss in detail, which of these three cases holds for a given network can make an enormous difference when investigating and making claims about network community structure, and it is important to take this into account to obtain reliable downstream conclusions. Depending on which scenario holds, one may or may not be able to successfully identify "good" communities in a given network (and good communities might not even exist for a given community quality measure), the manner in which different small communities fit together to form meso-scale network structures can be very different, and processes such as viral propagation and information diffusion can exhibit very different dynamics. In addition, our results suggest that, for many large realistic networks, the output of locally biased methods that focus on communities that are centered around a given seed node (or set of seed nodes) might have better conceptual grounding and greater practical utility than the output of global community-detection methods. They also illustrate structural properties that are important to consider in the development of better benchmark networks to test methods for community detection.

Information dynamics algorithm for detecting communities in networks

NASA Astrophysics Data System (ADS)

Massaro, Emanuele; Bagnoli, Franco; Guazzini, Andrea; Lió, Pietro

2012-11-01

The problem of community detection is relevant in many scientific disciplines, from social science to statistical physics. Given the impact of community detection in many areas, such as psychology and social sciences, we have addressed the issue of modifying existing well performing algorithms by incorporating elements of the domain application fields, i.e. domain-inspired. We have focused on a psychology and social network-inspired approach which may be useful for further strengthening the link between social network studies and mathematics of community detection. Here we introduce a community-detection algorithm derived from the van Dongen's Markov Cluster algorithm (MCL) method [4] by considering networks' nodes as agents capable to take decisions. In this framework we have introduced a memory factor to mimic a typical human behavior such as the oblivion effect. The method is based on information diffusion and it includes a non-linear processing phase. We test our method on two classical community benchmark and on computer generated networks with known community structure. Our approach has three important features: the capacity of detecting overlapping communities, the capability of identifying communities from an individual point of view and the fine tuning the community detectability with respect to prior knowledge of the data. Finally we discuss how to use a Shannon entropy measure for parameter estimation in complex networks.

Collective trauma in the Vanni- a qualitative inquiry into the mental health of the internally displaced due to the civil war in Sri Lanka

PubMed Central

2010-01-01

Background From January to May, 2009, a population of 300,000 in the Vanni, northern Sri Lanka underwent multiple displacements, deaths, injuries, deprivation of water, food, medical care and other basic needs caught between the shelling and bombings of the state forces and the LTTE which forcefully recruited men, women and children to fight on the frontlines and held the rest hostage. This study explores the long term psychosocial and mental health consequences of exposure to massive, existential trauma. Methods This paper is a qualitative inquiry into the psychosocial situation of the Vanni displaced and their ethnography using narratives and observations obtained through participant observation; in depth interviews; key informant, family and extended family interviews; and focus groups using a prescribed, semi structured open ended questionnaire. Results The narratives, drawings, letters and poems as well as data from observations, key informant interviews, extended family and focus group discussions show considerable impact at the family and community. The family and community relationships, networks, processes and structures are destroyed. There develops collective symptoms of despair, passivity, silence, loss of values and ethical mores, amotivation, dependency on external assistance, but also resilience and post-traumatic growth. Conclusions Considering the severity of family and community level adverse effects and implication for resettlement, rehabilitation, and development programmes; interventions for healing of memories, psychosocial regeneration of the family and community structures and processes are essential. PMID:20667090

Echo Chambers: Emotional Contagion and Group Polarization on Facebook.

PubMed

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

2016-12-01

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

Archaeal community structure in leachate and solid waste is correlated to methane generation and volume reduction during biodegradation of municipal solid waste.

PubMed

Fei, Xunchang; Zekkos, Dimitrios; Raskin, Lutgarde

2015-02-01

Duplicate carefully-characterized municipal solid waste (MSW) specimens were reconstituted with waste constituents obtained from a MSW landfill and biodegraded in large-scale landfill simulators for about a year. Repeatability and relationships between changes in physical, chemical, and microbial characteristics taking place during the biodegradation process were evaluated. Parameters such as rate of change of soluble chemical oxygen demand in the leachate (rsCOD), rate of methane generation (rCH4), rate of specimen volume reduction (rVt), DNA concentration in the leachate, and archaeal community structures in the leachate and solid waste were monitored during operation. The DNA concentration in the leachate was correlated to rCH4 and rVt. The rCH4 was related to rsCOD and rVt when waste biodegradation was intensive. The structures of archaeal communities in the leachate and solid waste of both simulators were very similar and Methanobacteriaceae were the dominant archaeal family throughout the testing period. Monitoring the chemical and microbial characteristics of the leachate was informative of the biodegradation process and volume reduction in the simulators, suggesting that leachate monitoring could be informative of the extent of biodegradation in a full-scale landfill. Copyright © 2014 Elsevier Ltd. All rights reserved.

Metagenomics unveils the attributes of the alginolytic guilds of sediments from four distant cold coastal environments: Alginolytic guilds from cold sediments

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

Matos, Marina N.; Lozada, Mariana; Anselmino, Luciano E.

Alginates are abundant polysaccharides in brown algae that constitute an important energy source for marine heterotrophic bacteria. Despite the key role of alginate assimilation processes in the marine carbon cycle, little information is available on the bacterial populations involved in these processes. The goal of this work was to gain insight into the structure and functional traits of the alginolytic communities from sediments of cold coastal environments. Sediment metagenomes from high-latitude regions of both Hemispheres were interrogated for alginate lyase gene homolog sequences and their genomic context. Sediments contained highly abundant and diverse bacterial assemblages with alginolytic potential, including membersmore » of Bacteroidetes and Proteobacteria, as well as several poorly characterized taxa. Temperature and salinity were correlated to the variation in community structure. The microbial communities in Arctic and Antarctic sediments exhibited the most similar alginolytic profiles, whereas brackish sediments had a higher proportion of novel members. Examination of the gene context of the alginate lyase homologs revealed distinct patterns according to the phylogenetic origin of the scaffolds, with evidence of evolutionary relationships among lineages. This information is relevant for understanding carbon fluxes in cold coastal environments and provides valuable information for the development of biotechnological applications from brown algae biomass.« less

POWER AND AUTHORITY--EMERGING TRENDS AND ASPIRATIONS, PROCEEDINGS OF THE STANFORD-BERKELEY SEMINAR FOR JUNIOR COLLEGE PRESIDENTS (2D, BERKELEY, JUNE 19-21, 1964).

ERIC Educational Resources Information Center

MEDSKER, LELAND L.; TILLERY, HARRY DALE

FIVE PAPERS ARE REPRODUCED IN THIS REPORT. DR. DONALD D. JACKSON DISCUSSED THE CHANGING POWER STRUCTURE IN MODERN SOCIETIES, AS PREPARATION FOR THE EXAMINATION OF TRENDS RELEVANT TO CRUCIAL ASPECTS OF THE COLLEGE COMMUNITY. GORDON W. BLACKWELL DESCRIBED THE FORMAL POWER STRUCTURE, THE INFORMAL POWER STRUCTURE, AND AREAS OF TENSION IN STATE…

Leisure Activities as a Source of Informal Learning for Older People: The Role of Community-Based Organisations

ERIC Educational Resources Information Center

MacKean, Rowena; Abbott-Chapman, Joan

2011-01-01

The significance of findings from a qualitative Tasmanian study, which investigated the part played by informal learning in positive ageing, is highlighted by the increasing proportion of the Australian population in the "Third Age" cohort of active, independent people aged 65 years and over. Semi-structured interviews, conducted by a…

Proposal for a Spatial Organization Model in Soil Science (The Example of the European Communities Soil Map).

ERIC Educational Resources Information Center

King, D.; And Others

1994-01-01

Discusses the computational problems of automating paper-based spatial information. A new relational structure for soil science information based on the main conceptual concepts used during conventional cartographic work is proposed. This model is a computerized framework for coherent description of the geographical variability of soils, combined…

Knowledge, Attitude and Advice-Giving Behaviour of Community Pharmacists Regarding Topical Corticosteroids

PubMed Central

Lau, Wing Man

2017-01-01

This study examines the relationship between community pharmacists’ knowledge, attitudes to information provision and self-reported counselling behaviours in relation to topical corticosteroids and adjunct therapy in atopic eczema. A mixed-methods approach was used whereby data from interviews with community pharmacists were used to design a structured questionnaire that a larger sample of community pharmacists completed anonymously. The questionnaire was completed and returned by 105 pharmacists (36% response rate). Pharmacists showed gaps in their knowledge on the use of topical corticosteroids in atopic eczema but had good understanding on the use of emollients. There was a significant correlation between pharmacists’ attitudes to information provision and their self-reported counselling behaviour for most themes except in relation to corticosteroid safety where less advice was given. Improving attitudes to information provision should correlate with increased counselling behaviour. However, for the theme of corticosteroid safety, further studies are needed to examine why in practice pharmacists are not providing patient counselling on this topic even though most agreed this is a topic patients should know about. PMID:28970453

Knowledge, Attitude and Advice-Giving Behaviour of Community Pharmacists Regarding Topical Corticosteroids.

PubMed

Lau, Wing Man; Donyai, Parastou

2017-07-25

This study examines the relationship between community pharmacists' knowledge, attitudes to information provision and self-reported counselling behaviours in relation to topical corticosteroids and adjunct therapy in atopic eczema. A mixed-methods approach was used whereby data from interviews with community pharmacists were used to design a structured questionnaire that a larger sample of community pharmacists completed anonymously. The questionnaire was completed and returned by 105 pharmacists (36% response rate). Pharmacists showed gaps in their knowledge on the use of topical corticosteroids in atopic eczema but had good understanding on the use of emollients. There was a significant correlation between pharmacists' attitudes to information provision and their self-reported counselling behaviour for most themes except in relation to corticosteroid safety where less advice was given. Improving attitudes to information provision should correlate with increased counselling behaviour. However, for the theme of corticosteroid safety, further studies are needed to examine why in practice pharmacists are not providing patient counselling on this topic even though most agreed this is a topic patients should know about.

Taxonomies of networks from community structure

PubMed Central

Reid, Stephen; Porter, Mason A.; Mucha, Peter J.; Fricker, Mark D.; Jones, Nick S.

2014-01-01

The study of networks has become a substantial interdisciplinary endeavor that encompasses myriad disciplines in the natural, social, and information sciences. Here we introduce a framework for constructing taxonomies of networks based on their structural similarities. These networks can arise from any of numerous sources: they can be empirical or synthetic, they can arise from multiple realizations of a single process (either empirical or synthetic), they can represent entirely different systems in different disciplines, etc. Because mesoscopic properties of networks are hypothesized to be important for network function, we base our comparisons on summaries of network community structures. Although we use a specific method for uncovering network communities, much of the introduced framework is independent of that choice. After introducing the framework, we apply it to construct a taxonomy for 746 networks and demonstrate that our approach usefully identifies similar networks. We also construct taxonomies within individual categories of networks, and we thereby expose nontrivial structure. For example, we create taxonomies for similarity networks constructed from both political voting data and financial data. We also construct network taxonomies to compare the social structures of 100 Facebook networks and the growth structures produced by different types of fungi. PMID:23030977

Taxonomies of networks from community structure

NASA Astrophysics Data System (ADS)

Onnela, Jukka-Pekka; Fenn, Daniel J.; Reid, Stephen; Porter, Mason A.; Mucha, Peter J.; Fricker, Mark D.; Jones, Nick S.

2012-09-01

The study of networks has become a substantial interdisciplinary endeavor that encompasses myriad disciplines in the natural, social, and information sciences. Here we introduce a framework for constructing taxonomies of networks based on their structural similarities. These networks can arise from any of numerous sources: They can be empirical or synthetic, they can arise from multiple realizations of a single process (either empirical or synthetic), they can represent entirely different systems in different disciplines, etc. Because mesoscopic properties of networks are hypothesized to be important for network function, we base our comparisons on summaries of network community structures. Although we use a specific method for uncovering network communities, much of the introduced framework is independent of that choice. After introducing the framework, we apply it to construct a taxonomy for 746 networks and demonstrate that our approach usefully identifies similar networks. We also construct taxonomies within individual categories of networks, and we thereby expose nontrivial structure. For example, we create taxonomies for similarity networks constructed from both political voting data and financial data. We also construct network taxonomies to compare the social structures of 100 Facebook networks and the growth structures produced by different types of fungi.

Adding value to figures: a web-based European public health information system.

PubMed

van der Wilk, Eveline A; Verschuuren, Marieke

2010-01-01

In 2008 a prototype, web-based system was launched which provided information for different user groups interested in European public health topics. The EUPHIX system contained scientifically sound data, with presentations as well as textual information. The information was structured according to the European Community Health Indicators (ECHI) shortlist. The information included different types of data presentations (tables, interactive graphs and maps), explanatory texts and overviews of the data sources and the literature used. The content was produced by a network of European experts according to a structured, peer-reviewed editorial process. Thus EUPHIX provided an easily accessible, comprehensive, state-of-the-art information source. To ensure that it will continue, financial support will be needed. Co-ownership by the European Commission and the Member States seems an appropriate solution.

Community perceptions of the socio-economic structural context influencing HIV and TB risk, prevention and treatment in a high prevalence area in the era of antiretroviral therapy.

PubMed

Ngwenya, Nothando; Gumede, Dumile; Shahmanesh, Maryam; McGrath, Nuala; Grant, Alison; Seeley, Janet

2018-03-01

Following calls for targeted HIV prevention interventions in so-called "hotspots", we explored subjective perceptions of community members in places considered to be high HIV and tuberculosis (TB) transmission areas and those with low prevalence. Although more people now have access to antiretroviral therapy (ART), some areas are still experiencing high HIV transmission rates, presenting a barrier to the elimination of HIV. A rapid qualitative assessment approach was used to access a sample of 230 people who contributed narratives of their experiences and perceptions of transmission, treatment and prevention of HIV and TB in their communities. Theoretical propositions case study strategy was used to inform and guide the thematic analysis of the data with Research Department of Epidemiology & Public Health, University College London, London, UK. Our results support the concept of linking perceived control to health through the identification of structural factors that increase communities' sense of agency. People in these communities did not feel they had the efficacy to effect change in their milieu. The few socio-economic opportunities promote social mobility in search of better prospects which may have a negative impact on community cohesion and prevention strategies. Communities were more concerned with improving their immediate social and economic situations and prioritised this above the prevention messages. Therefore approaches that focus on changing the structural and environmental barriers to prevention may increase people's perceived control. Multifaceted strategies that address the identified constructs of perceived control may influence the social change necessary to make structural interventions successful.

Urban community gardeners' knowledge and perceptions of soil contaminant risks.

PubMed

Kim, Brent F; Poulsen, Melissa N; Margulies, Jared D; Dix, Katie L; Palmer, Anne M; Nachman, Keeve E

2014-01-01

Although urban community gardening can offer health, social, environmental, and economic benefits, these benefits must be weighed against the potential health risks stemming from exposure to contaminants such as heavy metals and organic chemicals that may be present in urban soils. Individuals who garden at or eat food grown in contaminated urban garden sites may be at risk of exposure to such contaminants. Gardeners may be unaware of these risks and how to manage them. We used a mixed quantitative/qualitative research approach to characterize urban community gardeners' knowledge and perceptions of risks related to soil contaminant exposure. We conducted surveys with 70 gardeners from 15 community gardens in Baltimore, Maryland, and semi-structured interviews with 18 key informants knowledgeable about community gardening and soil contamination in Baltimore. We identified a range of factors, challenges, and needs related to Baltimore community gardeners' perceptions of risk related to soil contamination, including low levels of concern and inconsistent levels of knowledge about heavy metal and organic chemical contaminants, barriers to investigating a garden site's history and conducting soil tests, limited knowledge of best practices for reducing exposure, and a need for clear and concise information on how best to prevent and manage soil contamination. Key informants discussed various strategies for developing and disseminating educational materials to gardeners. For some challenges, such as barriers to conducting site history and soil tests, some informants recommended city-wide interventions that bypass the need for gardener knowledge altogether.

Urban Community Gardeners' Knowledge and Perceptions of Soil Contaminant Risks

PubMed Central

Kim, Brent F.; Poulsen, Melissa N.; Margulies, Jared D.; Dix, Katie L.; Palmer, Anne M.; Nachman, Keeve E.

2014-01-01

Although urban community gardening can offer health, social, environmental, and economic benefits, these benefits must be weighed against the potential health risks stemming from exposure to contaminants such as heavy metals and organic chemicals that may be present in urban soils. Individuals who garden at or eat food grown in contaminated urban garden sites may be at risk of exposure to such contaminants. Gardeners may be unaware of these risks and how to manage them. We used a mixed quantitative/qualitative research approach to characterize urban community gardeners' knowledge and perceptions of risks related to soil contaminant exposure. We conducted surveys with 70 gardeners from 15 community gardens in Baltimore, Maryland, and semi-structured interviews with 18 key informants knowledgeable about community gardening and soil contamination in Baltimore. We identified a range of factors, challenges, and needs related to Baltimore community gardeners' perceptions of risk related to soil contamination, including low levels of concern and inconsistent levels of knowledge about heavy metal and organic chemical contaminants, barriers to investigating a garden site's history and conducting soil tests, limited knowledge of best practices for reducing exposure, and a need for clear and concise information on how best to prevent and manage soil contamination. Key informants discussed various strategies for developing and disseminating educational materials to gardeners. For some challenges, such as barriers to conducting site history and soil tests, some informants recommended city-wide interventions that bypass the need for gardener knowledge altogether. PMID:24516570

Investigating the link between fish community structure and environmental state in deep-time

NASA Astrophysics Data System (ADS)

Sibert, E. C.

2017-12-01

In the modern ocean, a bottom-up ecological viewpoint posits that the composition of plankton communities is often a function of ambient oceanographic conditions, including nutrient concentrations and water temperature. Thus, certain plankton species or communities can be associated with specific oceanographic conditions, giving them potential as carriers of paleoceanographic information. Furthermore, consumer groups, such as fish, depend on the structure and composition of these plankton, and therefore different plankton communities will support different types of fish. In addition, fish have their own physiological constraints for surviving in particular environments, such as oxygen demand, and metabolic rate, causing certain clades to be selectively associated with different water mass characteristics. Thus, the relative or absolute abundances of different fish species or groups could shed light on shifting oxygen concentrations, temperature, or primary productivity in the past. To assess whether fish communities have sufficient environmental control to provide paleoceanographic insights, I use a variety of morphological, phylogenetic, and ecological statistical approaches, to correlate modern fish communities from around the world with environmental variables. I then apply these principles to a series of ichthyolith assemblages from the Cretaceous and Cenozoic, across both space and time, to assess whether fish community composition, abundance, or other characteristics can be predictive of ocean temperature or export productivity. I find that while the abundance of fish fossils in deep-sea cores is often, though not always, correlated with certain export production and temperature proxies, community composition appears to vary independently of these variables on long timescales, driven more by evolutionary processes. However, there are distinct differences in contemporary communities in different locations, suggesting that there is potential in using fish community composition in well-constrained systems. Furthermore, when fish community structure or abundance diverges from the expected state, this may provide significant insight into the structure and functioning of marine ecosystems.

Beginning a Partnership with PhotoVoice to Explore Environmental Health and Health Inequities in Minority Communities

PubMed Central

Butsch Kovacic, Melinda; Stigler, Sara; Smith, Angela; Kidd, Alexis; Vaughn, Lisa M.

2014-01-01

Research informs action, but the challenge is its translation into practice. The 2012–2017 National Institute of Environmental Health Sciences Strategic Plan emphasizes partnership with community stakeholders to capture critical missing information about the effects of environment on health and to improve translation of study results, a daunting task for many traditionally-trained researchers. To better understand economic and neighborhood context consistent with these goals as well as existing inequities, we needed access to a highly affected community to inform and participate in our research. Our team therefore undertook a PhotoVoice project as a first step in establishing a participatory partnership and to appreciate the lived experiences of and build trust with youth visiting an urban community center in a high-risk, low-income, African American neighborhood located along a busy, polluted interstate. Ten 8–13 years-olds represented their community’s perspectives through photographs over 14-weeks using structured questioning. Five themes emerged: poor eating habits/inadequate nutrition; safety/violence; family/friends/community support; future hopes/dreams; and garbage/environment. Public viewings of the photos/captions facilitated engagement of other community agencies and multidisciplinary academic faculties to work together to build a sustainable “community collaboratory” that will promote health at the center by providing families knowledge/skills to prevent/minimize environmental exposures via diet/lifestyle changes using community-engaged, citizen scientist and systems thinking approaches. PMID:25350008

Social capital and health during pregnancy; an in-depth exploration from rural Sri Lanka.

PubMed

Agampodi, Thilini Chanchala; Rheinländer, Thilde; Agampodi, Suneth Buddhika; Glozier, Nicholas; Siribaddana, Sisira

2017-07-27

Dimensions of social capital relevant to health in pregnancy are sparsely described in the literature. This study explores dimensions of social capital and the mechanisms in which they could affect the health of rural Sri Lankan pregnant women. An exploratory qualitative study of solicited diaries written by pregnant women on their social relationships, diary interviews and in-depth interviews with key informants was conducted. A framework approach for qualitative data analysis was used. Pregnant women (41), from eight different communities completed diaries and 38 post-diary interviews. Sixteen key informant interviews were conducted with public health midwives and senior community dwellers. We identified ten cognitive and five structural constructs of social capital relevant to health in pregnancy. Domestic and neighborhood cohesion were the most commonly expressed constructs. Social support was limited to support from close family, friends and public health midwives. A high density of structural social capital was observed in the micro-communities. Membership in local community groups was not common. Four different pathways by which social capital could influence health in pregnancy were identified. These include micro-level cognitive social capital by promoting mental wellbeing; micro-level structural social capital by reducing minor ailments in pregnancy; micro-level social support mechanisms promoting physical and mental wellbeing through psychosocial resources and health systems at each level providing focused maternal care. Current tools available may not contain the relevant constructs to capture the unique dimensions of social capital in pregnancy. Social capital can influence health during pregnancy, mainly through improved psychosocial resources generated by social cohesion in micro-communities and by the embedded neighborhood public health services.

Community perceptions of the social determinants of child health in Western Cape, South Africa: neglect as a major indicator of child health and wellness.

PubMed

Kadir, Ayesha; Marais, Frederick; Desmond, Nicola

2013-11-01

Worldwide, neglect is the most common form of child maltreatment. Data on neglect are scarce in low- and middle-income countries, and almost no qualitative research includes the voices of children. The main objective was to understand community perceptions of the social determinants of child health. The study was also intended to test the feasibility of health professionals undertaking qualitative studies of the social determinants of child health which can be used to inform clinical care and policy. The target population was people living in deprived circumstances in rural South Africa. Data collected included focus group discussions with children and adults, children's drawings, semi-structured in-depth interviews, documentary review and transect drives. Purposive sampling of poorer households was done. Recurring themes were explored using a continuous repetitive process. Data were examined using framework analysis. The main finding was that neglect owing to substance abuse was a major predictor of poor child health and wellness. This sensitive topic was introduced by children, who created a platform for discussion with and among adult participants. Adults attributed neglect to a breakdown in family structure and changing norms regarding the responsibilities of parents. Community programmes were cited by children as a source of support, while some adults felt they undermined parental responsibility. Understanding social arrangements and community support structures is best achieved at community level through a participatory, qualitative approach. These methods also enable the views of children to inform the findings. Children's input will help uncover neglect and other hidden predictors of challenges to child health, and promote a rights-based approach to care and research.

What Can OpenEI Do For You?

ScienceCinema

None

2018-02-06

Open Energy Information (OpenEI) is an open source web platform—similar to the one used by Wikipedia—developed by the US Department of Energy (DOE) and the National Renewable Energy Laboratory (NREL) to make the large amounts of energy-related data and information more easily searched, accessed, and used both by people and automated machine processes. Built utilizing the standards and practices of the Linked Open Data community, the OpenEI platform is much more robust and powerful than typical web sites and databases. As an open platform, all users can search, edit, add, and access data in OpenEI for free. The user community contributes the content and ensures its accuracy and relevance; as the community expands, so does the content's comprehensiveness and quality. The data are structured and tagged with descriptors to enable cross-linking among related data sets, advanced search functionality, and consistent, usable formatting. Data input protocols and quality standards help ensure the content is structured and described properly and derived from a credible source. Although DOE/NREL is developing OpenEI and seeding it with initial data, it is designed to become a true community model with millions of users, a large core of active contributors, and numerous sponsors.

Beacon communities' public health initiatives: a case study analysis.

PubMed

Massoudi, Barbara L; Marcial, Laura H; Haque, Saira; Bailey, Robert; Chester, Kelley; Cunningham, Shellery; Riley, Amanda; Soper, Paula

2014-01-01

The Beacon Communities for Public Health (BCPH) project was launched in 2011 to gain a better understanding of the range of activities currently being conducted in population- and public health by the Beacon Communities. The project highlighted the successes and challenges of these efforts with the aim of sharing this information broadly among the public health community. The Beacon Community Program, designed to showcase technology-enabled, community-based initiatives to improve outcomes, focused on: building and strengthening health information technology (IT) infrastructure and exchange capabilities; translating investments in health IT to measureable improvements in cost, quality, and population health; and, developing innovative approaches to performance measurement, technology, and care delivery. Four multimethod case studies were conducted based on a modified sociotechnical framework to learn more about public health initiative implementation and use in the Beacon Communities. Our methodological approach included using document review and semistructured key informant interviews. NACCHO Model Practice Program criteria were used to select the public health initiatives included in the case studies. Despite differences among the case studies, common barriers and facilitators were found to be present in all areas of the sociotechnical framework application including structure, people, technology, tasks, overarching considerations, and sustainability. Overall, there were many more facilitators (range = 7-14) present for each Beacon compared to barriers (range = 4-6). Four influential promising practices were identified through the work: forging strong and sustainable partnerships; ensuring a good task-technology fit and a flexible and iterative design; fostering technology acceptance; and, providing education and demonstrating value. A common weakness was the lack of a framework or model for the Beacon Communities evaluation work. Sharing a framework or approach to evaluation at the beginning of implementation made the work more effective. Supporting evaluation to inform future implementations is important.

Evidence of community structure in biomedical research grant collaborations.

PubMed

Nagarajan, Radhakrishnan; Kalinka, Alex T; Hogan, William R

2013-02-01

Recent studies have clearly demonstrated a shift towards collaborative research and team science approaches across a spectrum of disciplines. Such collaborative efforts have also been acknowledged and nurtured by popular extramurally funded programs including the Clinical Translational Science Award (CTSA) conferred by the National Institutes of Health. Since its inception, the number of CTSA awardees has steadily increased to 60 institutes across 30 states. One of the objectives of CTSA is to accelerate translation of research from bench to bedside to community and train a new genre of researchers under the translational research umbrella. Feasibility of such a translation implicitly demands multi-disciplinary collaboration and mentoring. Networks have proven to be convenient abstractions for studying research collaborations. The present study is a part of the CTSA baseline study and investigates existence of possible community-structure in Biomedical Research Grant Collaboration (BRGC) networks across data sets retrieved from the internally developed grants management system, the Automated Research Information Administrator (ARIA) at the University of Arkansas for Medical Sciences (UAMS). Fastgreedy and link-community community-structure detection algorithms were used to investigate the presence of non-overlapping and overlapping community-structure and their variation across years 2006 and 2009. A surrogate testing approach in conjunction with appropriate discriminant statistics, namely: the modularity index and the maximum partition density is proposed to investigate whether the community-structure of the BRGC networks were different from those generated by certain types of random graphs. Non-overlapping as well as overlapping community-structure detection algorithms indicated the presence of community-structure in the BRGC network. Subsequent, surrogate testing revealed that random graph models considered in the present study may not necessarily be appropriate generative mechanisms of the community-structure in the BRGC networks. The discrepancy in the community-structure between the BRGC networks and the random graph surrogates was especially pronounced at 2009 as opposed to 2006 indicating a possible shift towards team-science and formation of non-trivial modular patterns with time. The results also clearly demonstrate presence of inter-departmental and multi-disciplinary collaborations in BRGC networks. While the results are presented on BRGC networks as a part of the CTSA baseline study at UAMS, the proposed methodologies are as such generic with potential to be extended across other CTSA organizations. Understanding the presence of community-structure can supplement more traditional network analysis as they're useful in identifying research teams and their inter-connections as opposed to the role of individual nodes in the network. Such an understanding can be a critical step prior to devising meaningful interventions for promoting team-science, multi-disciplinary collaborations, cross-fertilization of ideas across research teams and identifying suitable mentors. Understanding the temporal evolution of these communities may also be useful in CTSA evaluation. Copyright © 2012. Published by Elsevier Inc.

The Materials Commons: A Collaboration Platform and Information Repository for the Global Materials Community

NASA Astrophysics Data System (ADS)

Puchala, Brian; Tarcea, Glenn; Marquis, Emmanuelle. A.; Hedstrom, Margaret; Jagadish, H. V.; Allison, John E.

2016-08-01

Accelerating the pace of materials discovery and development requires new approaches and means of collaborating and sharing information. To address this need, we are developing the Materials Commons, a collaboration platform and information repository for use by the structural materials community. The Materials Commons has been designed to be a continuous, seamless part of the scientific workflow process. Researchers upload the results of experiments and computations as they are performed, automatically where possible, along with the provenance information describing the experimental and computational processes. The Materials Commons website provides an easy-to-use interface for uploading and downloading data and data provenance, as well as for searching and sharing data. This paper provides an overview of the Materials Commons. Concepts are also outlined for integrating the Materials Commons with the broader Materials Information Infrastructure that is evolving to support the Materials Genome Initiative.

A climate-associated multispecies cryptic cline in the northwest Atlantic

PubMed Central

DiBacco, Claudio; Lowen, Ben; Beiko, Robert G.; Bentzen, Paul; Brickman, David; Johnson, Catherine; Wang, Zeliang; Wringe, Brendan F.; Bradbury, Ian R.

2018-01-01

The spatial genetic structure of most species in the open marine environment remains largely unresolved. This information gap creates uncertainty in the sustainable management, recovery, and associated resilience of marine communities and our capacity to extrapolate beyond the few species for which such information exists. We document a previously unidentified multispecies biogeographic break aligned with a steep climatic gradient and driven by seasonal temperature minima in the northwest Atlantic. The coherence of this genetic break across our five study species with contrasting life histories suggests a pervasive macroecological phenomenon. The integration of this genetic structure with habitat suitability models and climate forecasts predicts significant variation in northward distributional shifts among populations and availability of suitable habitat in future oceans. The results of our integrated approach provide new perspective on how cryptic intraspecific diversity associated with climatic variation influences species and community response to climate change beyond simple poleward shifts. PMID:29600272

An ant colony based algorithm for overlapping community detection in complex networks

NASA Astrophysics Data System (ADS)

Zhou, Xu; Liu, Yanheng; Zhang, Jindong; Liu, Tuming; Zhang, Di

2015-06-01

Community detection is of great importance to understand the structures and functions of networks. Overlap is a significant feature of networks and overlapping community detection has attracted an increasing attention. Many algorithms have been presented to detect overlapping communities. In this paper, we present an ant colony based overlapping community detection algorithm which mainly includes ants' location initialization, ants' movement and post processing phases. An ants' location initialization strategy is designed to identify initial location of ants and initialize label list stored in each node. During the ants' movement phase, the entire ants move according to the transition probability matrix, and a new heuristic information computation approach is redefined to measure similarity between two nodes. Every node keeps a label list through the cooperation made by ants until a termination criterion is reached. A post processing phase is executed on the label list to get final overlapping community structure naturally. We illustrate the capability of our algorithm by making experiments on both synthetic networks and real world networks. The results demonstrate that our algorithm will have better performance in finding overlapping communities and overlapping nodes in synthetic datasets and real world datasets comparing with state-of-the-art algorithms.

Social and structural aspects of the overdose risk environment in St. Petersburg, Russia

PubMed Central

Grau, Lauretta E.; Blinnikova, Ksenia N.; Torban, Mikhail; Krupitsky, Evgeny; Ilyuk, Ruslan; Kozlov, Andrei; Heimer, Robert

2009-01-01

Background While overdose is a common cause of mortality among opioid injectors worldwide, little information exists on opioid overdoses or how context may influence overdose risk in Russia. This study sought to uncover social and structural aspects contributing to fatal overdose risk in St. Petersburg and assess prevention intervention feasibility. Methods Twenty-one key informant interviews were conducted with drug users, treatment providers, toxicologists, police, and ambulance staff. Thematic coding of interview content was conducted to elucidate elements of the overdose risk environment. Results Several factors within St. Petersburg’s environment were identified as shaping illicit drug users’ risk behaviors and contributing to conditions of suboptimal response to overdose in the community. Most drug users live and experience overdoses at home, where family and home environment may mediate or moderate risk behaviors. The overdose risk environment is also worsened by inefficient emergency response infrastructure, insufficient cardiopulmonary or naloxone training resources, and the preponderance of abstinence-based treatment approaches to the exclusion of other treatment modalities. However, attitudes of drug users and law enforcement officials generally support overdose prevention intervention feasibility. Modifiable aspects of the risk environment suggest community-based and structural interventions, including overdose response training for drug users and professionals that encompasses naloxone distribution to the users and equipping more ambulances with naloxone. Conclusion Local social and structural elements influence risk environments for overdose. Interventions at the community and structural levels to prevent and respond to opioid overdoses are needed for and integral to reducing overdose mortality in St. Petersburg. PMID:18774283

Quality indicators for pharmaceutical care: a comprehensive set with national scores for Dutch community pharmacies.

PubMed

Teichert, Martina; Schoenmakers, Tim; Kylstra, Nico; Mosk, Berend; Bouvy, Marcel L; van de Vaart, Frans; De Smet, Peter A G M; Wensing, Michel

2016-08-01

Background The quality of pharmaceutical care in community pharmacies in the Netherlands has been assessed annually since 2008. The initial set has been further developed with pharmacists and patient organizations, the healthcare inspectorate, the government and health insurance companies. The set over 2012 was the first set of quality indicators for community pharmacies which was validated and supported by all major stakeholders. The aims of this study were to describe the validated set of quality indicators for community pharmacies and to report their scores over 2012. In subanalyses the score development over 5 years was described for those indicators, that have been surveyed before and remained unchanged. Methods Community pharmacists in the Netherlands were invited in 2013 to provide information for the set of 2012. Quality indicators were mapped by categories relevant for pharmaceutical care and defined for structures, processes and dispensing outcomes. Scores for categorically-measured quality indicators were presented as the percentage of pharmacies reporting the presence of a quality aspect. For numerical quality indicators, the mean of all reported scores was expressed. In subanalyses for those indicators that had been questioned previously, scores were collected from earlier measurements for pharmacies providing their scores in 2012. Multilevel analysis was used to assess the consistency of scores within one pharmacy over time by the intra-class correlation coefficient (ICC). Results For the set in 2012, 1739 Dutch community pharmacies (88 % of the total) provided information for 66 quality indicators in 10 categories. Indicator scores on the presence of quality structures showed relatively high quality levels. Scores for processes and dispensing outcomes were lower. Subanalyses showed that overall indicators scores improved within pharmacies, but this development differed between pharmacies. Conclusions A set of validated quality indicators provided insight into the quality of pharmaceutical care in the Netherlands. The quality of pharmaceutical care improved over time. As of 2012 quality structures were present in at least 80 % of the community pharmacies. Variation in scores on care processes and outcomes between individual pharmacies and over time can initiate future research to better understand and facilitate quality improvement in community pharmacies.

Different in the dark: The effect of habitat characteristics on community composition and beta diversity in bromeliad microfauna.

PubMed

Busse, Annika; Antiqueira, Pablo A P; Neutzling, Alexandre S; Wolf, Anna M; Romero, Gustavo Q; Petermann, Jana S

2018-01-01

The mechanisms which structure communities have been the focus of a large body of research. Here, we address the question if habitat characteristics describing habitat quality may drive changes in community composition and beta diversity of bromeliad-inhabiting microfauna. In our system, changes in canopy cover along an environmental gradient may affect resource availability, disturbance in form of daily water temperature fluctuations and predation, and thus may lead to changes in community structure of bromeliad microfauna through differences in habitat quality along this gradient. Indeed, we observed distinct changes in microfauna community composition along the environmental gradient explained by changes in the extent of daily water temperature fluctuations. We found beta diversity to be higher under low habitat quality (low canopy cover) than under high habitat quality (high canopy cover), which could potentially be explained by a higher relative importance of stochastic processes under low habitat quality. We also partitioned beta diversity into turnover and nestedness components and we found a nested pattern of beta diversity along the environmental gradient, with communities from the lower-quality habitat being nested subsets of communities from the higher-quality habitat. However, this pattern resulted from an increase in microfauna alpha diversity with an increase in habitat quality. By providing insights into microfauna-environment relationships our results contribute to the mechanistic understanding of community dynamics in small freshwater bodies. Here, we highlight the importance of habitat characteristics representing habitat quality in structuring communities, and suggest that this information may help to improve conservation practices of small freshwater ecosystems.

Different in the dark: The effect of habitat characteristics on community composition and beta diversity in bromeliad microfauna

PubMed Central

Antiqueira, Pablo A. P.; Neutzling, Alexandre S.; Wolf, Anna M.; Romero, Gustavo Q.; Petermann, Jana S.

2018-01-01

The mechanisms which structure communities have been the focus of a large body of research. Here, we address the question if habitat characteristics describing habitat quality may drive changes in community composition and beta diversity of bromeliad-inhabiting microfauna. In our system, changes in canopy cover along an environmental gradient may affect resource availability, disturbance in form of daily water temperature fluctuations and predation, and thus may lead to changes in community structure of bromeliad microfauna through differences in habitat quality along this gradient. Indeed, we observed distinct changes in microfauna community composition along the environmental gradient explained by changes in the extent of daily water temperature fluctuations. We found beta diversity to be higher under low habitat quality (low canopy cover) than under high habitat quality (high canopy cover), which could potentially be explained by a higher relative importance of stochastic processes under low habitat quality. We also partitioned beta diversity into turnover and nestedness components and we found a nested pattern of beta diversity along the environmental gradient, with communities from the lower-quality habitat being nested subsets of communities from the higher-quality habitat. However, this pattern resulted from an increase in microfauna alpha diversity with an increase in habitat quality. By providing insights into microfauna-environment relationships our results contribute to the mechanistic understanding of community dynamics in small freshwater bodies. Here, we highlight the importance of habitat characteristics representing habitat quality in structuring communities, and suggest that this information may help to improve conservation practices of small freshwater ecosystems. PMID:29401522

Complexity and dynamics of topological and community structure in complex networks

NASA Astrophysics Data System (ADS)

Berec, Vesna

2017-07-01

Complexity is highly susceptible to variations in the network dynamics, reflected on its underlying architecture where topological organization of cohesive subsets into clusters, system's modular structure and resulting hierarchical patterns, are cross-linked with functional dynamics of the system. Here we study connection between hierarchical topological scales of the simplicial complexes and the organization of functional clusters - communities in complex networks. The analysis reveals the full dynamics of different combinatorial structures of q-th-dimensional simplicial complexes and their Laplacian spectra, presenting spectral properties of resulting symmetric and positive semidefinite matrices. The emergence of system's collective behavior from inhomogeneous statistical distribution is induced by hierarchically ordered topological structure, which is mapped to simplicial complex where local interactions between the nodes clustered into subcomplexes generate flow of information that characterizes complexity and dynamics of the full system.

Structural barriers to South African volunteer home-based caregivers providing quality care: the need for a policy for caregivers not affiliated to primary healthcare clinics.

PubMed

Morton, David; Mayekiso, Thoko; Cunningham, Peter

2018-03-01

Community home-based care (CHBC) is a critical component of non-formal care in communities in Africa that have a high prevalence of HIV and tuberculosis (TB). Community carers consisting primarily of volunteers are critical role players in African healthcare systems and particularly in South Africa's strategy to fight HIV and AIDS. This paper explores the structural barriers volunteer caregivers need to overcome to provide quality CHBC. The researchers used two focus group discussions with key informants (each with four participants), and semi-structured interviews with six key informants to collect data relating to the meaning of quality CHBC. The data were coded using Tesch's data analysis technique. A major theme that emerged from the results was "Addressing structural challenges to improve the quality of CHBC". Subthemes underpinning this theme were: 1) lack of standardised training of volunteer caregivers; 2) the need for a scope of practice, parameters and legal boundaries; 3) lack of monitoring and evaluation (M&E) of CHBC; and 4) the importance of mentoring and supervision in CHBC. CHBC policy should address the need for standardised training programmes for caregivers, so that they are equipped with multiple skills. Furthermore CHBC policy must emphasise mentoring as well as M&E to encourage quality care. Finally, the policy should provide a clear scope of practice for caregivers to regulate their competencies and boundaries.

Hospital discharge: What are the problems, information needs and objectives of community pharmacists? A mixed method approach.

PubMed

Brühwiler, Lea D; Hersberger, Kurt E; Lutters, Monika

2017-01-01

After hospital discharge, community pharmacists are often the first health care professionals the discharged patient encounters. They reconcile and dispense prescribed medicines and provide pharmaceutical care. Compared to the roles of general practitioners, the pharmacists' needs to perform these tasks are not well known. This study aims to a) Identify community pharmacists' current problems and roles at hospital discharge, b) Assess their information needs, specifically the availability and usefulness of information, and c) Gain insight into pharmacists' objectives and ideas for discharge optimisation. A focus group was conducted with a sample of six community pharmacists from different Swiss regions. Based on these qualitative results, a nationwide online-questionnaire was sent to 1348 Swiss pharmacies. The focus group participants were concerned about their extensive workload with discharge prescriptions and about gaps in therapy. They emphasised the importance of more extensive information transfer. This applied especially to medication changes, unclear prescriptions, and information about a patient's care. Participants identified treatment continuity as a main objective when it comes to discharge optimisation. There were 194 questionnaires returned (response rate 14.4%). The majority of respondents reported to fulfil their role as defined by the Joint-FIP/WHO Guideline on Good Pharmacy Practice (rather) badly. They reported many unavailable but useful information items, like therapy changes, allergies, specifications for "off-label" medication use or contact information. Information should be delivered in a structured way, but no clear preference for one particular transfer method was found. Pharmacists requested this information in order to improve treatment continuity and patient safety, and to be able to provide better pharmaceutical care services. Surveyed Swiss community pharmacists rarely receive sufficient information along with discharge prescriptions, although it would be needed for medication reconciliation. According to the pharmacist's opinions, appropriate pharmaceutical care is therefore impeded.

Text and Structural Data Mining of Influenza Mentions in Web and Social Media

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

Corley, Courtney D.; Cook, Diane; Mikler, Armin R.

Text and structural data mining of Web and social media (WSM) provides a novel disease surveillance resource and can identify online communities for targeted public health communications (PHC) to assure wide dissemination of pertinent information. WSM that mention influenza are harvested over a 24-week period, 5-October-2008 to 21-March-2009. Link analysis reveals communities for targeted PHC. Text mining is shown to identify trends in flu posts that correlate to real-world influenza-like-illness patient report data. We also bring to bear a graph-based data mining technique to detect anomalies among flu blogs connected by publisher type, links, and user-tags.

A qualitative study exploring community pharmacists' awareness of, and contribution to, self-care support in the management of long-term conditions in the United Kingdom.

PubMed

Ogunbayo, Oladapo J; Schafheutle, Ellen I; Cutts, Christopher; Noyce, Peter R

2015-01-01

Self-care support refers to activities aimed at educating, training and empowering patients with skills and ability to manage [and monitor] their long-term conditions (LTCs). While self-care support by health care professionals has emerged as a distinct concept in the management of LTCs, evidence of community pharmacy's contribution is sparse. The aim was to explore community pharmacy's contribution to self-care support of LTCs. The objectives were to explore how community pharmacists conceptualize self-care support of LTCs and how they operationalize the core elements of this in their practice. Semi-structured interviews were conducted with community pharmacists in England (n = 12) and Scotland (n = 12). A framework consisting of the core elements of self-care support (information and advice; skills training and support; technology; support networks; and collaborative care planning) was developed from the literature and was used to structure the interviews and analysis. Analysis was done thematically using the interpretative phenomenological analysis technique. The three main themes that emerged were conceptualization; operationalization of the core elements; and barriers to providing self-care support. Participants conceptualized self-care of LTCs as patients taking responsibility for their own health, performing activities that improved their LTCs and that enabled them to become more independent in managing their LTCs. Their views on self-care support did not reflect this conceptual understanding but was described primarily as providing patients with information and advice rather than actively supporting them. Participants' views of operationalizing the core elements of self-care support was found to be medicines focused, opportunistic and dependent on the services they provided, rather than being patient-centered and proactive. The barriers to providing self-care support of LTCs in community pharmacy were described as priority accorded to dispensing activities, the structure of the community pharmacy contract, lack of incentives to provide self-care support and patients' expectations and lack of awareness of community pharmacy's role in LTCs management. Community pharmacists' theoretical understanding of self-care was not reflected in the ways that they portrayed their contributions to self-care support. The current ways in which community pharmacy delivers its services for patient care may need to be re-configured in order to fit into the holistic self-care support paradigm. Copyright © 2015 Elsevier Inc. All rights reserved.

Widely Accepted Modern Views of Cell Structure are Fundamentally Correct: A Reply to Hillman and Sartory.

ERIC Educational Resources Information Center

Michell, R. H.; And Others

1982-01-01

Argues against Hillman and Sartory's views of cell structure (EJ242880), pointing out that they are erroneous in their analysis of the motives and working methods of the scientific community, in their total rejection of information coming from electron microscopy, and in their claim that lysosomes and endoplasmic reticulum are imaginary. (DC)

Using the Cognitive Structure of Knowledge of Female Retirees To Assess Speed and Content of Information Processing.

ERIC Educational Resources Information Center

Middlestead, Charles G.

A study examined how a stratified nonrandom sample of 112 female retirees cognitively structure their knowledge about retirement. The women, who were selected from two rural communities in two Mid-Atlantic states, were asked to complete brief questionnaires about their background and satisfaction with retirement and to sort 13 cards imprinted with…

NASA Operational Environment Team (NOET) - NASA's key to environmental technology

NASA Technical Reports Server (NTRS)

Cook, Beth

1993-01-01

NOET is a NASA-wide team which supports the research and development community by sharing information both in person and via a computerized network, assisting in specification and standard revisions, developing cleaner propulsion systems, and exploring environmentally compliant alternatives to current processes. NOET's structure, dissemination of materials, electronic information, EPA compliance, specifications and standards, and environmental research and development are discussed.

Enhancing Community Detection By Affinity-based Edge Weighting Scheme

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

Yoo, Andy; Sanders, Geoffrey; Henson, Van

Community detection refers to an important graph analytics problem of finding a set of densely-connected subgraphs in a graph and has gained a great deal of interest recently. The performance of current community detection algorithms is limited by an inherent constraint of unweighted graphs that offer very little information on their internal community structures. In this paper, we propose a new scheme to address this issue that weights the edges in a given graph based on recently proposed vertex affinity. The vertex affinity quantifies the proximity between two vertices in terms of their clustering strength, and therefore, it is idealmore » for graph analytics applications such as community detection. We also demonstrate that the affinity-based edge weighting scheme can improve the performance of community detection algorithms significantly.« less

Decision making within a community provider organization.

PubMed

Berggren, Ingela; Carlstrom, Eric

2010-12-01

To explore community nurses' experiences of decision making within the community provider organization. Recent changes in health care with an increasing number of patients being cared for outside of institutions can put considerable pressure on the nurse with respect to decision making. In-depth interviews were performed with 6 registered nurses in two communities. The interviews were analysed by means of phenomenological hermeneutics. The community nurses' experiences of decision making were interpreted as spiders or octopuses, consultants and troubleshooters. The subthemes were; networking and structuring, responsibility, availability and knowledge, assessment power, information selection, avoiding rules and bypassing managers. In accordance with hermeneutical phenomenology, the findings were discussed and explained with reference to Ofstad's philosophy of freedom to make decisions. In their decision making, community nurses are committed to finding administrative solutions that satisfy patient needs.

Perceptions about mercury and lead in fish consumed in Lake Albert fishing communities Uganda

PubMed Central

Andrew, Tamale; Francis, Ejobi; Charles, Muyanja; Naigaga, Irene; Jesca, Nakavuma; Micheal, Ocaido; Anne, Katuhoire; Deborah, Amulen

2016-01-01

Abstract Fish consumption is a lifestyle in fishing communities influenced by individual and communal perceptions. However, information about individual perceptions about fish consumption in the vulnerable fishing community in a developing country is lacking. Without this study, the benefits of fish consumption in a vulnerable community may not be realized. Data collection was executed using key informant interviews and survey structured questionnaires. The key informants include fisheries, community development, veterinary, community and environmental officers. The household heads were the respondents. The Qualitative data was organized and queried using QSR Nvivo 10 and quantitative data analyzed with SPSS version 22. The perceived benefits of eating fish are health, income, nutrition and manhood. The perceived risks are Stigma and ill health. The factors increasing fish consumption are heedless of fish consumption benefits (p = 0.041) and household size i.e. number of adults more than seven (p = 0.020). Those decreasing are methods of preparation of fish i.e. boiling and frying (p = 0.019 and p = 0.010) and oblivious about organizations dealing with fishing activities (p = 0.029). An awareness campaign is needed to demystify the health benefits and fallacies of fish consumption. The knowledge on individual perceptions associated with fish consumption will increase fish consumption but with fewer risks. PMID:27722182

Community evolution mining and analysis in social network

NASA Astrophysics Data System (ADS)

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

2017-03-01

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

Organizational structure and operation of defense/aerospace information centers in the United States of America

NASA Technical Reports Server (NTRS)

Sauter, H. E.; Lushina, L. N.

1983-01-01

U.S. Government aerospace and defense information centers are addressed. DTIC and NASA are described in terms of their history, operational authority, information services provided, user community, sources of information collected, efforts under way to improve services, and external agreements regarding the exchange of documents and/or data bases. Contents show how DTIC and NASA provide aerospace/defense information services in support of U.S. research and development efforts. In a general introduction, the importance of scientific and technical information and the need for information centers to acquire, handle, and disseminate it are stressed.

PDBe: Protein Data Bank in Europe

PubMed Central

Velankar, Sameer; Alhroub, Younes; Alili, Anaëlle; Best, Christoph; Boutselakis, Harry C.; Caboche, Ségolène; Conroy, Matthew J.; Dana, Jose M.; van Ginkel, Glen; Golovin, Adel; Gore, Swanand P.; Gutmanas, Aleksandras; Haslam, Pauline; Hirshberg, Miriam; John, Melford; Lagerstedt, Ingvar; Mir, Saqib; Newman, Laurence E.; Oldfield, Tom J.; Penkett, Chris J.; Pineda-Castillo, Jorge; Rinaldi, Luana; Sahni, Gaurav; Sawka, Grégoire; Sen, Sanchayita; Slowley, Robert; Sousa da Silva, Alan Wilter; Suarez-Uruena, Antonio; Swaminathan, G. Jawahar; Symmons, Martyn F.; Vranken, Wim F.; Wainwright, Michael; Kleywegt, Gerard J.

2011-01-01

The Protein Data Bank in Europe (PDBe; pdbe.org) is actively involved in managing the international archive of biomacromolecular structure data as one of the partners in the Worldwide Protein Data Bank (wwPDB; wwpdb.org). PDBe also develops new tools to make structural data more widely and more easily available to the biomedical community. PDBe has developed a browser to access and analyze the structural archive using classification systems that are familiar to chemists and biologists. The PDBe web pages that describe individual PDB entries have been enhanced through the introduction of plain-English summary pages and iconic representations of the contents of an entry (PDBprints). In addition, the information available for structures determined by means of NMR spectroscopy has been expanded. Finally, the entire web site has been redesigned to make it substantially easier to use for expert and novice users alike. PDBe works closely with other teams at the European Bioinformatics Institute (EBI) and in the international scientific community to develop new resources with value-added information. The SIFTS initiative is an example of such a collaboration—it provides extensive mapping data between proteins whose structures are available from the PDB and a host of other biomedical databases. SIFTS is widely used by major bioinformatics resources. PMID:21045060

An improved label propagation algorithm based on node importance and random walk for community detection

NASA Astrophysics Data System (ADS)

Ma, Tianren; Xia, Zhengyou

2017-05-01

Currently, with the rapid development of information technology, the electronic media for social communication is becoming more and more popular. Discovery of communities is a very effective way to understand the properties of complex networks. However, traditional community detection algorithms consider the structural characteristics of a social organization only, with more information about nodes and edges wasted. In the meanwhile, these algorithms do not consider each node on its merits. Label propagation algorithm (LPA) is a near linear time algorithm which aims to find the community in the network. It attracts many scholars owing to its high efficiency. In recent years, there are more improved algorithms that were put forward based on LPA. In this paper, an improved LPA based on random walk and node importance (NILPA) is proposed. Firstly, a list of node importance is obtained through calculation. The nodes in the network are sorted in descending order of importance. On the basis of random walk, a matrix is constructed to measure the similarity of nodes and it avoids the random choice in the LPA. Secondly, a new metric IAS (importance and similarity) is calculated by node importance and similarity matrix, which we can use to avoid the random selection in the original LPA and improve the algorithm stability. Finally, a test in real-world and synthetic networks is given. The result shows that this algorithm has better performance than existing methods in finding community structure.

Perspectives on impacts of water quality on agriculture and community well-being-a key informant study from Sri Lanka.

PubMed

Thoradeniya, Bhadranie; Pinto, Uthpala; Maheshwari, Basant

2017-11-04

Integrated management of water quality is critical for sustaining food production and achieving overall well-being of a community. Further, understanding people's perceptions and engagement can play an important role in achieving water and food security. The main aim of this study was to investigate the perspectives of community and other stakeholders as to how water quality impacts on agriculture, livelihood and community well-being within rural farming communities of two dry zone districts of Sri Lanka. The study adopted 'key informant interviews' as the methodology to investigate community and other stakeholder perspectives to collect primary data over a period of four months. The interview contents were then examined using a frequency matrix and graphed using an Excel graphing tool. The raw text was also analysed to understand the broader patterns in the text. A fuzzy logic cognitive map (FCM) was developed using the relationships between various concepts and linkages provided by the key informants. All key informants were concerned with the quality of drinking water they consume and the water used for their food preparation. Key informants representing the farming community indicated that the use of poor quality groundwater with higher levels of hardness has made growing crops difficult in the region. The key informants also identified extensive and ongoing use of agro-chemicals and fertilisers as a major source of pollution in water bodies in both spatio-temporal scale. Based on key informant interviews, possible initiatives that can help improve surface water and groundwater qualities for both drinking and agricultural use in the dry zone of Sri Lanka can be categorised into four broader themes, viz., provision of filtering/treatment systems, reduction in the use of agro-chemical and fertilisers, education of community stakeholders and support of alternative options for portable water supplies. The study indicates that in the key informants' view of groundwater and surface waters' continued deterioration in the absence of a proper governance structure, a majority of farmers will have restricted access to good quality water to meet daily and agricultural needs, and this will affect the health of the elderly and children in the area. Further, a majority of key informants were of the view that management of surface water and groundwater should be a shared responsibility between the government and the community in the region and appropriate policy initiatives that will improve water literacy at all levels are mandatory to address future water quality challenges.

Exploring the social reality of waqf community using social media: the Netnography approach

NASA Astrophysics Data System (ADS)

Azmi, Ahmad Shazrin Mohamed; Rosly Hanif, Noor; Mashitoh Mahamood, Siti

2018-02-01

The emergence of waqf institutions in Malaysia has attracted the attention of many. Considerable attention has been paid by various parties including the Federal government. In tandem with the revival of waqf, it has driven the emergence of a group of people who are passionate in matters pertaining to the development of Waqf (herein referred to as the waqf community). According to the Theory of Structuration, interaction between the agency and structure would induce changes. Therefore, this waqf community, being a part of the agency, is capable to influence the structure and bring about changes. Triggered by the existence of this waqf community, this study is interested in exploring their social reality. Having observed that a majority of people from this Waqf community had formed a specialized Whatsapp group dedicated to discussing matters pertaining to waqf, this study has considered the usage of netnography as an instrument to observe their social reality. Despite having limitations in narrowing down the research, this study was able to extract nine findings on their behaviour namely; their sensitivities, unity, spirit, willingness, commitment, the disclosure of information, influence, focus, gaps and frictions. Overall, the approach can be improved further by strategizing a refinement on the scope and technique in making observations.

Phylogenetic structure of soil bacterial communities predicts ecosystem functioning.

PubMed

Pérez-Valera, Eduardo; Goberna, Marta; Verdú, Miguel

2015-05-01

Quantifying diversity with phylogeny-informed metrics helps understand the effects of diversity on ecosystem functioning (EF). The sign of these effects remains controversial because phylogenetic diversity and taxonomic identity may interactively influence EF. Positive relationships, traditionally attributed to complementarity effects, seem unimportant in natural soil bacterial communities. Negative relationships could be attributed to fitness differences leading to the overrepresentation of few productive clades, a mechanism recently invoked to assemble soil bacteria communities. We tested in two ecosystems contrasting in terms of environmental heterogeneity whether two metrics of phylogenetic community structure, a simpler measure of phylogenetic diversity (NRI) and a more complex metric incorporating taxonomic identity (PCPS), correctly predict microbially mediated EF. We show that the relationship between phylogenetic diversity and EF depends on the taxonomic identity of the main coexisting lineages. Phylogenetic diversity was negatively related to EF in soils where a marked fertility gradient exists and a single and productive clade (Proteobacteria) outcompete other clades in the most fertile plots. However, phylogenetic diversity was unrelated to EF in soils where the fertility gradient is less marked and Proteobacteria coexist with other abundant lineages. Including the taxonomic identity of bacterial lineages in metrics of phylogenetic community structure allows the prediction of EF in both ecosystems. © FEMS 2015. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Centennial of Flight Educational Outreach

NASA Technical Reports Server (NTRS)

McCarthy, Marianne (Technical Monitor); Miller, Susan (Technical Monitor); Vanderpool, Celia

2003-01-01

The Centennial of Flight Education Outreach project worked with community partners to disseminate NASA Education materials and the Centennial of Flight CD-ROM as a vehicle to increase national awareness of NASA's Aerospace Education products, services and programs. The Azimuth Education Foundation and the Ninety Nines, an International Women Pilots Association, Inc. were chartered to conduct education outreach to the formal and informal educational community. The Dryden Education Office supported the development of a training and information distribution program that established a national group of prepared Centennial of Flight Ambassadors, with a mission of community education outreach. These Ambassadors are members of the Ninety Nines and through the Azimuth Foundation, they assisted the AECC on the national level to promote and disseminate Centennial of Flight and other educational products. Our objectives were to explore partnership outreach growth opportunities with consortium efforts between organizations. This project directly responded to the highlights of NASA s Implementation Plan for Education. It was structured to network, involve the community, and provide a solid link to active educators and current students with NASA education information. Licensed female pilots who live and work in local communities across the nation carried the link. This partnership has been extremely gratifying to all of those Ninety-Nines involved, and they eagerly look forward to further work opportunities.

Influence of Mowing Artemisia tridentata ssp. wyomingensis on Winter Habitat for Wildlife

NASA Astrophysics Data System (ADS)

Davies, Kirk W.; Bates, Jonathan D.; Johnson, Dustin D.; Nafus, Aleta M.

2009-07-01

Mowing is commonly implemented to Artemisia tridentata ssp. wyomingensis (Beetle & A. Young) S.L. Welsh (Wyoming big sagebrush) plant communities to improve wildlife habitat, increase forage production for livestock, and create fuel breaks for fire suppression. However, information detailing the influence of mowing on winter habitat for wildlife is lacking. This information is crucial because many wildlife species depended on A. tridentata spp. wyomingensis plant communities for winter habitat and consume significant quantities of Artemisia during this time . Furthermore, information is generally limited describing the recovery of A. tridentata spp. wyomingensis to mowing and the impacts of mowing on stand structure. Stand characteristics and Artemisia leaf tissue crude protein (CP), acid detergent fiber (ADF), and neutral detergent fiber (NDF) concentrations were measured in midwinter on 0-, 2-, 4-, and 6-year-old fall-applied mechanical (mowed at 20 cm height) treatments and compared to adjacent untreated (control) areas. Mowing compared to the control decreased Artemisia cover, density, canopy volume, canopy elliptical area, and height ( P < 0.05), but all characteristics were recovering ( P < 0.05). Mowing A. tridentata spp. wyomingensis plant communities slightly increases the nutritional quality of Artemisia leaves ( P < 0.05), but it simultaneously results in up to 20 years of decrease in Artemisia structural characteristics. Because of the large reduction in A. tridentata spp. wyomingensis for potentially 20 years following mowing, mowing should not be applied in Artemisia facultative and obligate wildlife winter habitat. Considering the decline in A. tridentata spp. wyomingensis-dominated landscapes, we caution against mowing these communities.

[What to do to avoid death by starvation? Domestic dynamics and childhood feeding practices in a rural area of extreme poverty in Mexico].

PubMed

Pelcastre-Villafuerte, Blanca; Riquer-Fernández, Florinda; de León-Reyes, Verónica; Reyes-Morales, Hortensia; Gutiérrez-Trujillo, Gonzalo; Bronfman, Mario

2006-01-01

To describe and compare household dynamics in terms of structure, beliefs and nutrition-related behavior in the homes of malnourished and well-nourished children less than five years of age. The authors carried out a qualitative ethnographic study using participant observation, and in depth interviews. Interviews were conducted with the child's caretaker or key informants, prior oral informed consent. Child care and childhood feeding practices at home and in the community were the focus of observations. The study included two periods of field work conducted in 2001, in three rural municipalities from the Río Balsas region, in Guerrero state, Mexico. The study's ethical and methodological aspects were approved by the National Research Commission of the Mexican Institute of Social Security. Households were differentially characterized by number of members, composition, type of relationship, source of income, and interactions among household members and with the community. Monoparental structures, in an early stage of the household cycle, give rise to conditions that render the child prone to malnutrition. Extended family structure represented more favorable household dynamics.

Implementing community participation through legislative reform: a study of the policy framework for community participation in the Western Cape province of South Africa

PubMed Central

2012-01-01

Background Amidst an evolving post-apartheid policy framework for health, policymakers have sought to institutionalize community participation in Primary Health Care, recognizing participation as integral to realizing South Africa’s constitutional commitment to the right to health. With evolving South African legislation supporting community involvement in the health system, early policy developments focused on Community Health Committees (HCs) as the principal institutions of community participation. Formally recognized in the National Health Act of 2003, the National Health Act deferred to provincial governments in establishing the specific roles and functions of HCs. As a result, stakeholders developed a Draft Policy Framework for Community Participation in Health (Draft Policy) to formalize participatory institutions in the Western Cape province. Methods With the Draft Policy as a frame of analysis, the researchers conducted documentary policy analysis and semi-structured interviews on the evolution of South African community participation policy. Moving beyond the specific and unique circumstances of the Western Cape, this study analyzes generalizable themes for rights-based community participation in the health system. Results Framing institutions for the establishment, appointment, and functioning of community participation, the Draft Policy proposed a formal network of communication – from local HCs to the health system. However, this participation structure has struggled to establish itself and function effectively as a result of limitations in community representation, administrative support, capacity building, and policy commitment. Without legislative support for community participation, the enactment of superseding legislation is likely to bring an end to HC structures in the Western Cape. Conclusions Attempts to realize community participation have not adequately addressed the underlying factors crucial to promoting effective participation, with policy reforms necessary: to codify clearly defined roles and functions of community representation; to outline how communities engage with government through effective and accountable channels for participation; and to ensure extensive training and capacity building of community representatives. Given the public health importance of structured and effective policies for community participation, and the normative importance of participation in realizing a rights-based approach to health, this analysis informs researchers on the challenges to institutionalizing participation in health systems policy and provides practitioners with a research base to frame future policy reforms. PMID:22920557

Architectural Design Drives the Biogeography of Indoor Bacterial Communities

PubMed Central

O’Connor, Timothy K.; Mhuireach, Gwynne; Northcutt, Dale; Kline, Jeff; Moriyama, Maxwell; Brown, G. Z.; Bohannan, Brendan J. M.; Green, Jessica L.

2014-01-01

Background Architectural design has the potential to influence the microbiology of the built environment, with implications for human health and well-being, but the impact of design on the microbial biogeography of buildings remains poorly understood. In this study we combined microbiological data with information on the function, form, and organization of spaces from a classroom and office building to understand how design choices influence the biogeography of the built environment microbiome. Results Sequencing of the bacterial 16S gene from dust samples revealed that indoor bacterial communities were extremely diverse, containing more than 32,750 OTUs (operational taxonomic units, 97% sequence similarity cutoff), but most communities were dominated by Proteobacteria, Firmicutes, and Deinococci. Architectural design characteristics related to space type, building arrangement, human use and movement, and ventilation source had a large influence on the structure of bacterial communities. Restrooms contained bacterial communities that were highly distinct from all other rooms, and spaces with high human occupant diversity and a high degree of connectedness to other spaces via ventilation or human movement contained a distinct set of bacterial taxa when compared to spaces with low occupant diversity and low connectedness. Within offices, the source of ventilation air had the greatest effect on bacterial community structure. Conclusions Our study indicates that humans have a guiding impact on the microbial biodiversity in buildings, both indirectly through the effects of architectural design on microbial community structure, and more directly through the effects of human occupancy and use patterns on the microbes found in different spaces and space types. The impact of design decisions in structuring the indoor microbiome offers the possibility to use ecological knowledge to shape our buildings in a way that will select for an indoor microbiome that promotes our health and well-being. PMID:24489843

Research for Improved Health: Variability and Impact of Structural Characteristics in Federally Funded Community Engaged Research

PubMed Central

Pearson, Cythina R.; Duran, Bonnie; Oetzel, John; Margarati, Maya; Villegas, Malia; Lucero, Julie; Wallerstein, Nina

2016-01-01

Background Although there is strong scientific, policy, and community support for community-engaged research (CEnR)—including community-based participatory research (CBPR)—the science of CEnR is still developing. Objective To describe structural differences in federally funded CEnR projects by type of research (i.e., descriptive, intervention, or dissemination/policy change) and race/ethnicity of the population served. Methods We identified 333 federally funded projects in 2009 that potentially involved CEnR, 294 principal investigators/project directors (PI/PD) were eligible to participate in a key informant (KI) survey from late 2011 to early 2012 that asked about partnership structure (68% response rate). Results The National Institute on Minority Health & Health Disparities (19.1%), National Cancer Institute (NCI; 13.3%), and the Centers for Disease Control and Prevention (CDC; 12.6%) funded the most CEnR projects. Most were intervention projects (66.0%). Projects serving American Indian or Alaskan Native (AIAN) populations (compared with other community of color or multiple-race/unspecified) were likely to be descriptive projects (p < .01), receive less funding (p < .05), and have higher rates of written partnership agreements (p < .05), research integrity training (p < .05), approval of publications (p < .01), and data ownership (p < .01). AIAN-serving projects also reported similar rates of research productivity and greater levels of resource sharing compared with those serving multiple-race/unspecified groups. Conclusions There is clear variability in the structure of CEnR projects with future research needed to determine the impact of this variability on partnering processes and outcomes. In addition, projects in AIAN communities receive lower levels of funding yet still have comparable research productivity to those projects in other racial/ethnic communities. PMID:25981421

Structure and function of nematode communities across the Indian western continental margin and its oxygen minimum zone

NASA Astrophysics Data System (ADS)

Singh, R.; Ingole, B. S.

2016-01-01

We studied patterns of nematode distribution along the western Indian continental margin to determine the influence of habitat heterogeneity and low oxygen levels on the community's taxonomic and functional structure. A single transect, perpendicular to the coast at 14° N latitude was sampled from 34 to 2546 m depth for biological and environmental variables during August 2007. The oxygen minimum zone extended from 102 to 1001 m. Nematodes (described and undescribed) were identified to species and classified according to biological and functional traits. A total of 110 nematode species belonging to 24 families were found along the transect. Three depth zones were identified: the shelf (depth range: 34-102 m; highest nematode mean density: 176.6 ± 37 ind 10 cm-2), the slope (525-1524 m; 124.3 ± 16 ind 10 cm-2), and the basin (2001-2546 m; 62.9 ± 2 ind 10 cm-2). Across the entire study area, the dominant species were Terschellingia longicaudata, Desmodora sp. 1, Sphaerolaimus gracilis, and Theristus ensifer; their maximum density was at shelf stations. Nematode communities in different zones differed in species composition. Chromadorita sp. 2 (2.78 %) and Sphaerolaimus gracilis (2.21 %) were dominant on the shelf, whereas Terschellingia longicaudata (4.73 %) and Desmodora sp. 1 (4.42 %) were dominant on the slope, but in the basin, Halalaimus sp. 1(1.11 %) and Acantholaimus elegans (1.11 %) were dominant. The information in a particular functional group was not a simple reflection of the information in species abundance. Ecological information captured by adult length, adult shape, and life-history strategy was less site-specific and thus differed notably from information contained in other taxonomic groups. The functional composition of nematodes was strongly linked to the organic-carbon and dissolved-oxygen concentration. Seven species were found exclusively in the oxygen minimum zone: Pselionema sp. 1, Choanolaimus sp. 2, Halichoanolaimus sp. 1, Cobbia dentata, Daptonema sp. 1, Trissonchulus sp. 1, and Minolaimus sp. 1. Correlation with a number of environmental variables indicated that food quantity (measured as the organic-carbon content and chlorophyll content) and oxygen level were the major factors that influenced nematode community structure and function.

Exploring the context in which different close-to-community sexual and reproductive health service providers operate in Bangladesh: a qualitative study.

PubMed

Mahmud, Ilias; Chowdhury, Sadia; Siddiqi, Bulbul Ashraf; Theobald, Sally; Ormel, Hermen; Biswas, Salauddin; Jahangir, Yamin Tauseef; Sarker, Malabika; Rashid, Sabina Faiz

2015-09-01

A range of formal and informal close-to-community (CTC) health service providers operate in an increasingly urbanized Bangladesh. Informal CTC health service providers play a key role in Bangladesh's pluralistic health system, yet the reasons for their popularity and their interactions with formal providers and the community are poorly understood. This paper aims to understand the factors shaping poor urban and rural women's choice of service provider for their sexual and reproductive health (SRH)-related problems and the interrelationships between these providers and communities. Building this evidence base is important, as the number and range of CTC providers continue to expand in both urban slums and rural communities in Bangladesh. This has implications for policy and future programme interventions addressing the poor women's SRH needs. Data was generated through 24 in-depth interviews with menstrual regulation clients, 12 focus group discussions with married men and women in communities and 24 semi-structured interviews with formal and informal CTC SRH service providers. Data was collected between July and September 2013 from three urban slums and one rural site in Dhaka and Sylhet, Bangladesh. Atlas.ti software was used to manage data analysis and coding, and a thematic analysis was undertaken. Poor women living in urban slums and rural areas visit a diverse range of CTC providers for SRH-related problems. Key factors influencing their choice of provider include the following: availability, accessibility, expenses and perceived quality of care, the latter being shaped by notions of trust, respect and familiarity. Informal providers are usually the first point of contact even for those clients who subsequently access SRH services from formal providers. Despite existing informal interactions between both types of providers and a shared understanding that this can be beneficial for clients, there is no effective link or partnership between these providers for referral, coordination and communication regarding SRH services. Training informal CTC providers and developing strategies to enable better links and coordination between this community-embedded cadre and the formal health sector has the potential to reduce service cost and improve availability of quality SRH (and other) care at the community level.

Phylogenetic overdispersion of plant species in southern Brazilian savannas.

PubMed

Silva, I A; Batalha, M A

2009-08-01

Ecological communities are the result of not only present ecological processes, such as competition among species and environmental filtering, but also past and continuing evolutionary processes. Based on these assumptions, we may infer mechanisms of contemporary coexistence from the phylogenetic relationships of the species in a community. We studied the phylogenetic structure of plant communities in four cerrado sites, in southeastern Brazil. We calculated two raw phylogenetic distances among the species sampled. We estimated the phylogenetic structure by comparing the observed phylogenetic distances to the distribution of phylogenetic distances in null communities. We obtained null communities by randomizing the phylogenetic relationships of the regional pool of species. We found a phylogenetic overdispersion of the cerrado species. Phylogenetic overdispersion has several explanations, depending on the phylogenetic history of traits and contemporary ecological interactions. However, based on coexistence models between grasses and trees, density-dependent ecological forces, and the evolutionary history of the cerrado flora, we argue that the phylogenetic overdispersion of cerrado species is predominantly due to competitive interactions, herbivores and pathogen attacks, and ecological speciation. Future studies will need to include information on the phylogenetic history of plant traits.

Culture-sensitive counselling, psychotherapy and support groups in the Orthodox-Jewish community: how they work and how they are experienced.

PubMed

Loewenthal, Kate Miriam; Rogers, Marian Brooke

2004-09-01

There is political and scientific goodwill towards the provision of culture-sensitive support, but as yet little knowledge about how such support works and what are its strengths and difficulties in practice. To study groups offering culture-sensitive psychological and other support to the strictly orthodox Jewish community in London. Semi-structured interviews with service providers, potential and actual users from the community, and professionals serving the community. Interviews asked about the aims, functioning and achievements of 10 support groups. Thematic analysis identified seven important themes: admiration for the work of the groups; appreciation of the benefits of culture-sensitive services; concerns over confidentiality and stigma; concerns over finance and fund-raising; concerns about professionalism; the importance of liaison with rabbinic authorities; need for better dissemination of information. The strengths and difficulties of providing culture-sensitive services in one community were identified. Areas for attention include vigilance regarding confidentiality, improvements in disseminating information, improvements in the reliability of funding and attention to systematic needs assessment, and to the examination of efficacy of these forms of service provision.

Human rights barriers for displaced persons in southern Sudan.

PubMed

Pavlish, Carol; Ho, Anita

2009-01-01

This community-based research explores community perspectives on human rights barriers that women encounter in a postconflict setting of southern Sudan. An ethnographic design was used to guide data collection in five focus groups with community members and during in-depth interviews with nine key informants. A constant comparison method of data analysis was used. Atlas.ti data management software facilitated the inductive coding and sorting of data. Participants identified three formal and one set of informal community structures for human rights. Human rights barriers included shifting legal frameworks, doubt about human rights, weak government infrastructure, and poverty. The evolving government infrastructure cannot currently provide adequate human rights protection, especially for women. The nature of living in poverty without development opportunities includes human rights abuses. Good governance, protection, and human development opportunities were emphasized as priority human rights concerns. Human rights framework could serve as a powerful integrator of health and development work with community-based organizations. Results help nurses understand the intersection between health and human rights as well as approaches to advancing rights in a culturally attuned manner.

Experimental resource pulses influence social-network dynamics and the potential for information flow in tool-using crows

PubMed Central

St Clair, James J. H.; Burns, Zackory T.; Bettaney, Elaine M.; Morrissey, Michael B.; Otis, Brian; Ryder, Thomas B.; Fleischer, Robert C.; James, Richard; Rutz, Christian

2015-01-01

Social-network dynamics have profound consequences for biological processes such as information flow, but are notoriously difficult to measure in the wild. We used novel transceiver technology to chart association patterns across 19 days in a wild population of the New Caledonian crow—a tool-using species that may socially learn, and culturally accumulate, tool-related information. To examine the causes and consequences of changing network topology, we manipulated the environmental availability of the crows' preferred tool-extracted prey, and simulated, in silico, the diffusion of information across field-recorded time-ordered networks. Here we show that network structure responds quickly to environmental change and that novel information can potentially spread rapidly within multi-family communities, especially when tool-use opportunities are plentiful. At the same time, we report surprisingly limited social contact between neighbouring crow communities. Such scale dependence in information-flow dynamics is likely to influence the evolution and maintenance of material cultures. PMID:26529116

Dominant Tree Species and Soil Type Affect the Fungal Community Structure in a Boreal Peatland Forest.

PubMed

Sun, Hui; Terhonen, Eeva; Kovalchuk, Andriy; Tuovila, Hanna; Chen, Hongxin; Oghenekaro, Abbot O; Heinonsalo, Jussi; Kohler, Annegret; Kasanen, Risto; Vasander, Harri; Asiegbu, Fred O

2016-05-01

Boreal peatlands play a crucial role in global carbon cycling, acting as an important carbon reservoir. However, little information is available on how peatland microbial communities are influenced by natural variability or human-induced disturbances. In this study, we have investigated the fungal diversity and community structure of both the organic soil layer and buried wood in boreal forest soils using high-throughput sequencing of the internal transcribed spacer (ITS) region. We have also compared the fungal communities during the primary colonization of wood with those of the surrounding soils. A permutational multivariate analysis of variance (PERMANOVA) confirmed that the community composition significantly differed between soil types (P< 0.001) and tree species (P< 0.001). The distance-based linear models analysis showed that environmental variables were significantly correlated with community structure (P< 0.04). The availability of soil nutrients (Ca [P= 0.002], Fe [P= 0.003], and P [P= 0.003]) within the site was an important factor in the fungal community composition. The species richness in wood was significantly lower than in the corresponding soil (P< 0.004). The results of the molecular identification were supplemented by fruiting body surveys. Seven of the genera of Agaricomycotina identified in our surveys were among the top 20 genera observed in pyrosequencing data. Our study is the first, to our knowledge, fungal high-throughput next-generation sequencing study performed on peatlands; it further provides a baseline for the investigation of the dynamics of the fungal community in the boreal peatlands. Copyright © 2016, American Society for Microbiology. All Rights Reserved.

Dominant Tree Species and Soil Type Affect the Fungal Community Structure in a Boreal Peatland Forest

PubMed Central

Terhonen, Eeva; Kovalchuk, Andriy; Tuovila, Hanna; Chen, Hongxin; Oghenekaro, Abbot O.; Heinonsalo, Jussi; Kohler, Annegret; Kasanen, Risto; Vasander, Harri; Asiegbu, Fred O.

2016-01-01

Boreal peatlands play a crucial role in global carbon cycling, acting as an important carbon reservoir. However, little information is available on how peatland microbial communities are influenced by natural variability or human-induced disturbances. In this study, we have investigated the fungal diversity and community structure of both the organic soil layer and buried wood in boreal forest soils using high-throughput sequencing of the internal transcribed spacer (ITS) region. We have also compared the fungal communities during the primary colonization of wood with those of the surrounding soils. A permutational multivariate analysis of variance (PERMANOVA) confirmed that the community composition significantly differed between soil types (P < 0.001) and tree species (P < 0.001). The distance-based linear models analysis showed that environmental variables were significantly correlated with community structure (P < 0.04). The availability of soil nutrients (Ca [P = 0.002], Fe [P = 0.003], and P [P = 0.003]) within the site was an important factor in the fungal community composition. The species richness in wood was significantly lower than in the corresponding soil (P < 0.004). The results of the molecular identification were supplemented by fruiting body surveys. Seven of the genera of Agaricomycotina identified in our surveys were among the top 20 genera observed in pyrosequencing data. Our study is the first, to our knowledge, fungal high-throughput next-generation sequencing study performed on peatlands; it further provides a baseline for the investigation of the dynamics of the fungal community in the boreal peatlands. PMID:26896139

The Community Structure of the European Network of Interlocking Directorates 2005–2010

PubMed Central

Heemskerk, Eelke M.; Daolio, Fabio; Tomassini, Marco

2013-01-01

The boards of directors at large European companies overlap with each other to a sizable extent both within and across national borders. This could have important economic, political and management consequences. In this work we study in detail the topological structure of the networks that arise from this phenomenon. Using a comprehensive information database, we reconstruct the implicit networks of shared directorates among the top 300 European firms in 2005 and 2010, and suggest a number of novel ways to explore the trans-nationality of such business elite networks. Powerful community detection heuristics indicate that geography still plays an important role: there exist clear communities and they have a distinct national character. Nonetheless, from 2005 to 2010 we observe a densification of the boards interlocks network and a larger transnational orientation in its communities. Together with central actors and assortativity analyses, we provide statistical evidence that, at the level of corporate governance, Europe is getting closer. PMID:23894318

The community structure of the European network of interlocking directorates 2005-2010.

PubMed

Heemskerk, Eelke M; Daolio, Fabio; Tomassini, Marco

2013-01-01

The boards of directors at large European companies overlap with each other to a sizable extent both within and across national borders. This could have important economic, political and management consequences. In this work we study in detail the topological structure of the networks that arise from this phenomenon. Using a comprehensive information database, we reconstruct the implicit networks of shared directorates among the top 300 European firms in 2005 and 2010, and suggest a number of novel ways to explore the trans-nationality of such business elite networks. Powerful community detection heuristics indicate that geography still plays an important role: there exist clear communities and they have a distinct national character. Nonetheless, from 2005 to 2010 we observe a densification of the boards interlocks network and a larger transnational orientation in its communities. Together with central actors and assortativity analyses, we provide statistical evidence that, at the level of corporate governance, Europe is getting closer.

Barriers and facilitators of medication reconciliation processes for recently discharged patients from community pharmacists’ perspectives

PubMed Central

Kennelty, Korey A.; Chewning, Betty; Wise, Meg; Kind, Amy; Roberts, Tonya; Kreling, David

2015-01-01

Background Community pharmacists play a vital part in reconciling medications for patients transitioning from hospital to community care, yet their roles have not been fully examined in the extant literature. Objectives The objectives of this study were to: 1) examine the barriers and facilitators community pharmacists face when reconciling medications for recently discharged patients; and 2) identify pharmacists’ preferred content and modes of information transfer regarding updated medication information for recently discharged patients. Methods Community pharmacists were purposively and conveniently sampled from the Wisconsin (U.S. state) pharmacist-based research network, Pharmacy Practice Enhancement and Action Research Link (PEARL Rx). Community pharmacists were interviewed face-to-face, and transcriptions from audio recordings were analyzed using directed content analysis. The Theory of Planned Behavior (TPB) guided the development of questions for the semi-structured interviews. Results Interviewed community pharmacists (N = 10) described the medication reconciliation process to be difficult and time-consuming for recently discharged patients. In the context of the TPB, more barriers than facilitators of reconciling medications were revealed. Themes were categorized as organizational and individual-level themes. Major organizational-level factors affecting the medication reconciliation process included: pharmacy resources, discharge communication, and hospital resources. Major individual-level factors affecting the medication reconciliation process included: pharmacists’ perceived responsibility, relationships, patient perception of pharmacist, and patient characteristics. Interviewed pharmacists consistently responded that several pieces of information items would be helpful when reconciling medications for recently discharged patients, including the hospital medication discharge list and stop-orders for discontinued medications. Conclusions The TPB was useful for identifying barriers and facilitators of medication reconciliation for recently discharged patients from community pharmacists’ perspectives. The elucidation of these specific facilitators and barriers suggest promising avenues for future research interventions to improve exchange of medication information between the community pharmacy, hospitals, and patients. PMID:25586885

Barriers and facilitators of medication reconciliation processes for recently discharged patients from community pharmacists' perspectives.

PubMed

Kennelty, Korey A; Chewning, Betty; Wise, Meg; Kind, Amy; Roberts, Tonya; Kreling, David

2015-01-01

Community pharmacists play a vital part in reconciling medications for patients transitioning from hospital to community care, yet their roles have not been fully examined in the extant literature. The objectives of this study were to: 1) examine the barriers and facilitators community pharmacists face when reconciling medications for recently discharged patients; and 2) identify pharmacists' preferred content and modes of information transfer regarding updated medication information for recently discharged patients. Community pharmacists were purposively and conveniently sampled from the Wisconsin (U.S. state) pharmacist-based research network, Pharmacy Practice Enhancement and Action Research Link (PEARL Rx). Community pharmacists were interviewed face-to-face, and transcriptions from audio recordings were analyzed using directed content analysis. The Theory of Planned Behavior (TPB) guided the development of questions for the semi-structured interviews. Interviewed community pharmacists (N = 10) described the medication reconciliation process to be difficult and time-consuming for recently discharged patients. In the context of the TPB, more barriers than facilitators of reconciling medications were revealed. Themes were categorized as organizational and individual-level themes. Major organizational-level factors affecting the medication reconciliation process included: pharmacy resources, discharge communication, and hospital resources. Major individual-level factors affecting the medication reconciliation process included: pharmacists' perceived responsibility, relationships, patient perception of pharmacist, and patient characteristics. Interviewed pharmacists consistently responded that several pieces of information items would be helpful when reconciling medications for recently discharged patients, including the hospital medication discharge list and stop-orders for discontinued medications. The TPB was useful for identifying barriers and facilitators of medication reconciliation for recently discharged patients from community pharmacists' perspectives. The elucidation of these specific facilitators and barriers suggest promising avenues for future research interventions to improve exchange of medication information between the community pharmacy, hospitals, and patients. Published by Elsevier Inc.

Creating an Integrated Community-Wide Effort to Enhance Diversity in the Geosciences

NASA Astrophysics Data System (ADS)

Manduca, C. A.; Weingroff, M.

2001-05-01

Supporting the development and sustenance of a diverse geoscience workforce and improving Earth system education for the full diversity of students are important goals for our community. There are numerous established programs and many new efforts beginning. However, these efforts can become more powerful if dissemination of opportunities, effective practices, and web-based resources enable synergies to develop throughout our community. The Digital Library for Earth System Education (DLESE; www.dlese.org) has developed a working group and a website to support these goals. The DLESE Diversity Working Group provides an open, virtual community for those interested in enhancing diversity in the geosciences. The working group has focused its initial effort on 1) creating a geoscience community engaged in supporting increased diversity that builds on and is integrated with work taking place in other venues; 2) developing a web resource designed to engage and support members of underrepresented groups in learning about the Earth; and 3) assisting in enhancing DLESE collections and services to better support learning experiences of students from underrepresented groups. You are invited to join the working group and participate in these efforts. The DLESE diversity website provides a mechanism for sharing information and resources. Serving as a community database, the website provides a structure in which community members can post announcements of opportunities, information on programs, and links to resources and services. Information currently available on the site includes links to professional society activities; mentoring opportunities; grant, fellowship, employment, and internship opportunities for students and educators; information on teaching students from underrepresented groups; and professional development opportunities of high interest to members of underrepresented groups. These tools provide a starting point for developing a community wide effort to enhance diversity in the geosciences that builds on our collective experiences, knowledge and resources and the work that is taking place in communities around us.

Spatiotemporal Variation of Arctic Nearshore Fish Communities in Barrow, AK

NASA Astrophysics Data System (ADS)

Boswell, K. M.; Barton, M. B.; Lemoine, N. P.; Heintz, R.; Vollenweider, J.; Norcross, B.; Sousa, L.

2016-02-01

Climate change, oil and gas development, and increased transportation opportunities associated with retreating sea ice cover are likely to affect the processes underlying community development. Unfortunately, there is a paucity of information that prohibits establishing a baseline from which to examine biological and ecological changes. To address these concerns, we developed an intensive field sampling program using weekly beach seining for the six weeks following land-fast ice break-up during the summers of 2013-2015 (183 beach seine hauls totaling 37,303 fish) in three distinct water masses near Pt. Barrow, Alaska to examine how fish communities develop in the Arctic nearshore. Preliminary analyses indicate that inter-annual variability in temperature and salinity influence species composition observed in late summer, but it is unclear which factors operate on smaller temporal scales. We applied multivariate variance partitioning to quantify variation in community structure on multiple spatial and temporal scales during the summer season and identified several physicochemical parameters as important spatiotemporal drivers in structuring nearshore fish communities. Understanding how these drivers affect nearshore communities on the seasonal scale is an integral step to predict how these ecologically important ecosystems may shift in the face of Arctic climate change and continued development.

Leveraging Community to Promote Diversity and Inclusion within the IceCube Collaboration

NASA Astrophysics Data System (ADS)

Knackert, J.

2017-12-01

The IceCube Collaboration is an international research collaboration working to advance the field of particle astrophysics. It is comprised of more than 300 scientists, engineers, students, and support staff at 48 institutions in 12 countries. IceCube recognizes the value of increased diversity within STEM fields and is committed to improving this situation both within the collaboration and more broadly. The collaboration has dedicated a community manager to help coordinate and promote these efforts and has established a diversity task force as an internal resource and advising body. Here we will discuss how existing community structure was utilized to establish and maintain a focus on diversity within the collaboration. We will discuss methods for getting community members interested, informed, and invested, while helping them better understand the benefits associated with increased STEM diversity. We will also highlight the advantages of building a team of advocates within a community and the impact these individuals can have both internally and beyond. This work has been informed by the American Association for the Advancement of Science's inaugural cohort of the Community Engagement Fellows Program. The author has made the submission on behalf of the IceCube Collaboration Diversity Task Force.

Tuberculosis Knowledge, Awareness, and Stigma Among African-Americans in Three Southeastern Counties in the USA: a Qualitative Study of Community Perspectives.

PubMed

Royce, Rachel A; Colson, Paul W; Woodsong, Cynthia; Swinson-Evans, Tammeka; Walton, Wanda; Maiuri, Allison; DeLuca, Nickolas

2017-02-01

To inform strategies to address the tuberculosis (TB) excess among US-born African-Americans, we sought to understand the TB experience in the most highly affected southeastern communities. We conducted semi-structured interviews and focus groups in three communities with a TB excess-urban (Georgia and Tennessee) and rural (North Carolina). Participants from five groups provided diverse perspectives-African-Americans: patients with TB disease or latent TB infection (LTBI), or at high risk of contracting TB; and local community leaders and TB program staff. Few differences emerged between sites. Many participants demonstrated low levels of knowledge and awareness and held many misconceptions about TB. Patients expressed a preference for verbal communication of medical information. Patients reported fear of stigmatization and shunning, but few experienced discrimination. Patient trust for TB program staff was high, though community leaders often assumed the opposite. The findings will help guide interventions to improve knowledge and awareness regarding TB, including specific attention to the role of public and private health care providers in dispelling persistent misinformation about TB. The insight from these communities will help build the scientific foundation required to effectively eliminate health inequities.

A local immunization strategy for networks with overlapping community structure

NASA Astrophysics Data System (ADS)

Taghavian, Fatemeh; Salehi, Mostafa; Teimouri, Mehdi

2017-02-01

Since full coverage treatment is not feasible due to limited resources, we need to utilize an immunization strategy to effectively distribute the available vaccines. On the other hand, the structure of contact network among people has a significant impact on epidemics of infectious diseases (such as SARS and influenza) in a population. Therefore, network-based immunization strategies aim to reduce the spreading rate by removing the vaccinated nodes from contact network. Such strategies try to identify more important nodes in epidemics spreading over a network. In this paper, we address the effect of overlapping nodes among communities on epidemics spreading. The proposed strategy is an optimized random-walk based selection of these nodes. The whole process is local, i.e. it requires contact network information in the level of nodes. Thus, it is applicable to large-scale and unknown networks in which the global methods usually are unrealizable. Our simulation results on different synthetic and real networks show that the proposed method outperforms the existing local methods in most cases. In particular, for networks with strong community structures, high overlapping membership of nodes or small size communities, the proposed method shows better performance.

Contrasting effects of invasive plants in plant-pollinator networks.

PubMed

Bartomeus, Ignasi; Vilà, Montserrat; Santamaría, Luís

2008-04-01

The structural organization of mutualism networks, typified by interspecific positive interactions, is important to maintain community diversity. However, there is little information available about the effect of introduced species on the structure of such networks. We compared uninvaded and invaded ecological communities, to examine how two species of invasive plants with large and showy flowers (Carpobrotus affine acinaciformis and Opuntia stricta) affect the structure of Mediterranean plant-pollinator networks. To attribute differences in pollination to the direct presence of the invasive species, areas were surveyed that contained similar native plant species cover, diversity and floral composition, with or without the invaders. Both invasive plant species received significantly more pollinator visits than any native species and invaders interacted strongly with pollinators. Overall, the pollinator community richness was similar in invaded and uninvaded plots, and only a few generalist pollinators visited invasive species exclusively. Invasive plants acted as pollination super generalists. The two species studied were visited by 43% and 31% of the total insect taxa in the community, respectively, suggesting they play a central role in the plant-pollinator networks. Carpobrotus and Opuntia had contrasting effects on pollinator visitation rates to native plants: Carpobrotus facilitated the visit of pollinators to native species, whereas Opuntia competed for pollinators with native species, increasing the nestedness of the plant-pollinator network. These results indicate that the introduction of a new species to a community can have important consequences for the structure of the plant-pollinator network.

Trauma-informed schools: Child disaster exposure, community violence and somatic symptoms.

PubMed

Lai, Betty S; Osborne, Melissa C; Lee, NaeHyung; Self-Brown, Shannon; Esnard, Ann-Margaret; Kelley, Mary Lou

2018-06-15

Given the increasing prevalence of natural disasters, trauma-informed school settings should include efficient methods for assessing child health and mental health in post-disaster environments. To develop such methods, factors that contribute to children's vulnerability and key signs of distress reactions after disasters need to be understood. To address these issues, we evaluated pre-disaster community violence exposure as a vulnerability factor for children's post-disaster reactions and somatic symptoms as a key post-disaster outcome. We evaluated 426 children exposed to Hurricane Katrina at two timepoints (3-7 months and 13-17 months post-disaster). Structural equation models evaluated community violence exposure, hurricane exposure, and posttraumatic stress and somatic symptoms. Community violence exposure was associated with increased levels of posttraumatic stress symptoms among disaster-impacted youth, and did not moderate the relationship between disaster exposure and posttraumatic stress symptoms. Posttraumatic stress symptoms were associated with somatic symptoms in the short-term recovery period (3-7 months), but not associated with somatic symptoms during the longer-term recovery period (13-17 months). This study did not include school-level factors, and somatic symptoms were based on parent reports. The study did not include parent functioning information or distinguish between whether somatic symptoms were medical or functional in nature. Post-disaster school-based screeners may need to incorporate questions related to children's past exposure to community violence and their somatic symptoms to provide trauma-informed care for children. Copyright © 2018. Published by Elsevier B.V.

Increasing community capacity to prevent childhood obesity: challenges, lessons learned and results from the Romp & Chomp intervention.

PubMed

de Groot, Florentine P; Robertson, Narelle M; Swinburn, Boyd A; de Silva-Sanigorski, Andrea M

2010-08-31

Obesity is a major public health issue; however, only limited evidence is available about effective ways to prevent obesity, particularly in early childhood. Romp & Chomp was a community-wide obesity prevention intervention conducted in Geelong Australia with a target group of 12,000 children aged 0-5 years. The intervention had an environmental and capacity building focus and we have recently demonstrated that the prevalence of overweight/obesity was lower in intervention children, post-intervention. Capacity building is defined as the development of knowledge, skills, commitment, structures, systems and leadership to enable effective health promotion and the aim of this study was to determine if the capacity of the Geelong community, represented by key stakeholder organisations, to support healthy eating and physical activity for young children was increased after Romp & Chomp. A mixed methods evaluation with three data sources was utilised. 1) Document analysis comprised assessment of the documented formative and intervention activities against a capacity building framework (five domains: Partnerships, Leadership, Resource Allocation, Workforce Development, and Organisational Development); 2) Thematic analysis of key informant interviews (n = 16); and 3) the quantitative Community Capacity Index Survey. Document analysis showed that the majority of the capacity building activities addressed the Partnerships, Resource Allocation and Organisational Development domains of capacity building, with a lack of activity in the Leadership and Workforce Development domains. The thematic analysis revealed the establishment of sustainable partnerships, use of specialist advice, and integration of activities into ongoing formal training for early childhood workers. Complex issues also emerged from the key informant interviews regarding the challenges of limited funding, high staff turnover, changing governance structures, lack of high level leadership and unclear communication strategies. The Community Capacity Index provided further evidence that the project implementation network achieved a moderate level of capacity. Romp & Chomp increased the capacity of organisations, settings and services in the Geelong community to support healthy eating and physical activity for young children. Despite this success there are important learnings from this mixed methods evaluation that should inform current and future community-based public health and health promotion initiatives. ANZCTRN12607000374460.

Effects of storage temperature on bacterial growth rates and community structure in fresh retail sushi.

PubMed

Hoel, S; Jakobsen, A N; Vadstein, O

2017-09-01

This study was conducted to assess the effects of different storage temperatures (4-20°C), on bacterial concentrations, growth rates and community structure in fresh retail sushi, a popular retail product with a claimed shelf life of 2-3 days. The maximum specific growth rate based on aerobic plate count (APC) at 4°C was 0·06 h -1 and displayed a sixfold increase (0·37 h -1 ) at 20°C. Refrigeration resulted in no growth of hydrogen sulphide (H 2 S)-producing bacteria, but this group had the strongest temperature response. The bacterial community structure was determined by PCR/DGGE (denaturing gradient gel electrophoresis). Multivariate analysis based on Bray-Curtis similarities demonstrated that temperature alone was not the major determinant for the bacterial community structure. The total concentration of aerobic bacteria was the variable that most successfully explained the differences between the communities. The dominating organisms, detected by sequencing of DNA bands excised from the DGGE gel, were Brochothrix thermosphacta and genera of lactic acid bacteria (LAB). The relationship between growth rates and storage temperatures clearly demonstrates that these products are sensitive to deviations from optimal storage temperature, possibly resulting in loss of quality during shelf life. Regardless of the storage temperature, the bacterial communities converged towards a similar structure and density, but the storage temperature determined how fast the community reached its carrying capacity. Little information is available on the microbial composition of ready-to-eat food that are prepared with raw fish, subjected to contamination during handling, and susceptible to microbial growth during cold storage. Moreover, the data are a good first possibility to simulate growth of APC, H 2 S-producing bacteria and LAB under different temperature scenarios that might occur during production, distribution or storage. © 2017 The Society for Applied Microbiology.

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection.

PubMed

Surian, Didi; Nguyen, Dat Quoc; Kennedy, Georgina; Johnson, Mark; Coiera, Enrico; Dunn, Adam G

2016-08-29

In public health surveillance, measuring how information enters and spreads through online communities may help us understand geographical variation in decision making associated with poor health outcomes. Our aim was to evaluate the use of community structure and topic modeling methods as a process for characterizing the clustering of opinions about human papillomavirus (HPV) vaccines on Twitter. The study examined Twitter posts (tweets) collected between October 2013 and October 2015 about HPV vaccines. We tested Latent Dirichlet Allocation and Dirichlet Multinomial Mixture (DMM) models for inferring topics associated with tweets, and community agglomeration (Louvain) and the encoding of random walks (Infomap) methods to detect community structure of the users from their social connections. We examined the alignment between community structure and topics using several common clustering alignment measures and introduced a statistical measure of alignment based on the concentration of specific topics within a small number of communities. Visualizations of the topics and the alignment between topics and communities are presented to support the interpretation of the results in context of public health communication and identification of communities at risk of rejecting the safety and efficacy of HPV vaccines. We analyzed 285,417 Twitter posts (tweets) about HPV vaccines from 101,519 users connected by 4,387,524 social connections. Examining the alignment between the community structure and the topics of tweets, the results indicated that the Louvain community detection algorithm together with DMM produced consistently higher alignment values and that alignments were generally higher when the number of topics was lower. After applying the Louvain method and DMM with 30 topics and grouping semantically similar topics in a hierarchy, we characterized 163,148 (57.16%) tweets as evidence and advocacy, and 6244 (2.19%) tweets describing personal experiences. Among the 4548 users who posted experiential tweets, 3449 users (75.84%) were found in communities where the majority of tweets were about evidence and advocacy. The use of community detection in concert with topic modeling appears to be a useful way to characterize Twitter communities for the purpose of opinion surveillance in public health applications. Our approach may help identify online communities at risk of being influenced by negative opinions about public health interventions such as HPV vaccines.

Think Locally, Act Locally: The Detection of Small, Medium-Sized, and Large Communities in Large Networks

PubMed Central

Jeub, Lucas G. S.; Balachandran, Prakash; Porter, Mason A.; Mucha, Peter J.; Mahoney, Michael W.

2016-01-01

It is common in the study of networks to investigate intermediate-sized (or “meso-scale”) features to try to gain an understanding of network structure and function. For example, numerous algorithms have been developed to try to identify “communities,” which are typically construed as sets of nodes with denser connections internally than with the remainder of a network. In this paper, we adopt a complementary perspective that “communities” are associated with bottlenecks of locally-biased dynamical processes that begin at seed sets of nodes, and we employ several different community-identification procedures (using diffusion-based and geodesic-based dynamics) to investigate community quality as a function of community size. Using several empirical and synthetic networks, we identify several distinct scenarios for “size-resolved community structure” that can arise in real (and realistic) networks: (i) the best small groups of nodes can be better than the best large groups (for a given formulation of the idea of a good community); (ii) the best small groups can have a quality that is comparable to the best medium-sized and large groups; and (iii) the best small groups of nodes can be worse than the best large groups. As we discuss in detail, which of these three cases holds for a given network can make an enormous difference when investigating and making claims about network community structure, and it is important to take this into account to obtain reliable downstream conclusions. Depending on which scenario holds, one may or may not be able to successfully identify “good” communities in a given network (and good communities might not even exist for a given community quality measure), the manner in which different small communities fit together to form meso-scale network structures can be very different, and processes such as viral propagation and information diffusion can exhibit very different dynamics. In addition, our results suggest that, for many large realistic networks, the output of locally-biased methods that focus on communities that are centered around a given seed node might have better conceptual grounding and greater practical utility than the output of global community-detection methods. They also illustrate subtler structural properties that are important to consider in the development of better benchmark networks to test methods for community detection. PMID:25679670

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection

PubMed Central

Nguyen, Dat Quoc; Kennedy, Georgina; Johnson, Mark; Coiera, Enrico; Dunn, Adam G

2016-01-01

Background In public health surveillance, measuring how information enters and spreads through online communities may help us understand geographical variation in decision making associated with poor health outcomes. Objective Our aim was to evaluate the use of community structure and topic modeling methods as a process for characterizing the clustering of opinions about human papillomavirus (HPV) vaccines on Twitter. Methods The study examined Twitter posts (tweets) collected between October 2013 and October 2015 about HPV vaccines. We tested Latent Dirichlet Allocation and Dirichlet Multinomial Mixture (DMM) models for inferring topics associated with tweets, and community agglomeration (Louvain) and the encoding of random walks (Infomap) methods to detect community structure of the users from their social connections. We examined the alignment between community structure and topics using several common clustering alignment measures and introduced a statistical measure of alignment based on the concentration of specific topics within a small number of communities. Visualizations of the topics and the alignment between topics and communities are presented to support the interpretation of the results in context of public health communication and identification of communities at risk of rejecting the safety and efficacy of HPV vaccines. Results We analyzed 285,417 Twitter posts (tweets) about HPV vaccines from 101,519 users connected by 4,387,524 social connections. Examining the alignment between the community structure and the topics of tweets, the results indicated that the Louvain community detection algorithm together with DMM produced consistently higher alignment values and that alignments were generally higher when the number of topics was lower. After applying the Louvain method and DMM with 30 topics and grouping semantically similar topics in a hierarchy, we characterized 163,148 (57.16%) tweets as evidence and advocacy, and 6244 (2.19%) tweets describing personal experiences. Among the 4548 users who posted experiential tweets, 3449 users (75.84%) were found in communities where the majority of tweets were about evidence and advocacy. Conclusions The use of community detection in concert with topic modeling appears to be a useful way to characterize Twitter communities for the purpose of opinion surveillance in public health applications. Our approach may help identify online communities at risk of being influenced by negative opinions about public health interventions such as HPV vaccines. PMID:27573910

Seasonal Dynamics of the Airborne Bacterial Community and Selected Viruses in a Children's Daycare Center.

PubMed

Prussin, Aaron J; Vikram, Amit; Bibby, Kyle J; Marr, Linsey C

2016-01-01

Children's daycare centers appear to be hubs of respiratory infectious disease transmission, yet there is only limited information about the airborne microbial communities that are present in daycare centers. We have investigated the microbial community of the air in a daycare center, including seasonal dynamics in the bacterial community and the presence of specific viral pathogens. We collected filters from the heating, ventilation, and air conditioning (HVAC) system of a daycare center every two weeks over the course of a year. Amplifying and sequencing the 16S rRNA gene revealed that the air was dominated by Proteobacteria, Firmicutes, Actinobacteria, and Bacteroidetes that are commonly associated with the human skin flora. Clear seasonal differences in the microbial community were not evident; however, the community structure differed when the daycare center was closed and unoccupied for a 13-day period. These results suggest that human occupancy, rather than the environment, is the major driver in shaping the microbial community structure in the air of the daycare center. Using PCR for targeted viruses, we detected a seasonal pattern in the presence of respiratory syncytial virus that included the period of typical occurrence of the disease related to the virus; however, we did not detect the presence of adenovirus or rotavirus at any time.

Seasonal Dynamics of the Airborne Bacterial Community and Selected Viruses in a Children’s Daycare Center

PubMed Central

Prussin, Aaron J.; Vikram, Amit; Bibby, Kyle J.; Marr, Linsey C.

2016-01-01

Children’s daycare centers appear to be hubs of respiratory infectious disease transmission, yet there is only limited information about the airborne microbial communities that are present in daycare centers. We have investigated the microbial community of the air in a daycare center, including seasonal dynamics in the bacterial community and the presence of specific viral pathogens. We collected filters from the heating, ventilation, and air conditioning (HVAC) system of a daycare center every two weeks over the course of a year. Amplifying and sequencing the 16S rRNA gene revealed that the air was dominated by Proteobacteria, Firmicutes, Actinobacteria, and Bacteroidetes that are commonly associated with the human skin flora. Clear seasonal differences in the microbial community were not evident; however, the community structure differed when the daycare center was closed and unoccupied for a 13-day period. These results suggest that human occupancy, rather than the environment, is the major driver in shaping the microbial community structure in the air of the daycare center. Using PCR for targeted viruses, we detected a seasonal pattern in the presence of respiratory syncytial virus that included the period of typical occurrence of the disease related to the virus; however, we did not detect the presence of adenovirus or rotavirus at any time. PMID:26942410

Lessons learned from the implementation of an online infertility community into an IVF clinic's daily practice.

PubMed

Aarts, Johanna W M; Faber, Marjan J; Cohlen, Ben J; Van Oers, Anne; Nelen, WillianNe L D M; Kremer, Jan A M

2015-01-01

The Internet is expected to innovate healthcare, in particular patient-centredness of care. Within fertility care, information provision, communication with healthcare providers and support from peers are important components of patient-centred care. An online infertility community added to an in vitro fertilisation or IVF clinic's practice provides tools to healthcare providers to meet these. This study's online infertility community facilitates peer-to-peer support, information provision to patients and patient provider communication within one clinic. Unfortunately, these interventions often fail to become part of clinical routines. The analysis of a first introduction into usual care can provide lessons for the implementation in everyday health practice. The aim was to explore experiences of professionals and patients with the implementation of an infertility community into a clinic's care practice. We performed semi-structured interviews with both professionals and patients to collect these experiences. These interviews were analyzed using the Normalisation Process Model. Assignment of a community manager, multidisciplinary division of tasks, clear instructions to staff in advance and periodical evaluations could contribute to the integration of this online community. Interviews with patients provided insights into the possible impact on daily care. This study provides lessons to healthcare providers on the implementation of an online infertility community into their practice.

The Study of Microbial Environmental Processes Related to the Natural Attenuation of Uranium at the Rifle Site using Systems-level Biology

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

Methe, Barbara; Lipton, Mary; Mahadevan, Krishna

Microbes exist in communities in the environment where they are fundamental drivers of global carbon, nutrient and metal cycles. In subsurface environments, they possess significant metabolic potential to affect these global cycles including the transformation of radionuclides. This study examined the influence of microbial communities in sediment zones undergoing biogeochemical cycling of carbon, nutrients and metals including natural attenuation of uranium. This study examined the relationship of both the microbiota (taxonomy) and their metabolic capacity (function) in driving carbon, nutrient and metal cycles including uranium reduction at the Department of Energy (DOE) Rifle Integrated Field Research Challenge (RIFRC). Objectives ofmore » this project were: 1) to apply systems-level biology through application of ‘metaomics’ approaches (collective analyses of whole microbial community DNA, RNA and protein) to the study of microbial environmental processes and their relationship to C, N and metals including the influence of microbial communities on uranium contaminant mobility in subsurface settings undergoing natural attenuation, 2) improve methodologies for data generation using metaomics (collectively metagenomics, metatranscriptomics and proteomics) technologies and analysis and interpretation of that data and 3) use the data generated from these studies towards microbial community-scale metabolic modeling. The strategy for examining these subsurface microbial communities was to generate sequence reads from microbial community DNA (metagenomics or whole genome shotgun sequencing (WGS)) and RNA (metatranscriptomcs or RNAseq) and protein information using proteomics. Results were analyzed independently and through computational modeling. Overall, the community model generated information on the microbial community structure that was observed using metaomic approaches at RIFRC sites and thus provides an important framework for continued community modeling development. The model as created is capable of predicting the response of the community structure in changing environments such as anoxic/oxic conditions or limitations by carbon or nutrients. The ability to more accurately model these responses is critical to understanding carbon and energy flows in an ecosystem is critical towards improving our ability to make predictions that can be used to design more efficient remediation and management strategies, and better understand the implications of environmental perturbations on these ecosystems.« less

Space Transportation Materials and Structures Technology Workshop. Volume 1: Executive summary

NASA Technical Reports Server (NTRS)

Cazier, F. W., Jr. (Compiler); Gardner, J. E. (Compiler)

1992-01-01

The workshop was held to provide a forum for communication within the space materials and structures technology developer and user communities. Workshop participants were organized into a Vehicle Technology Requirements session and three working panels: Materials and Structures Technologies for Vehicle Systems; Propulsion Systems; and Entry Systems. The goals accomplished were (1) to develop important strategic planning information necessary to transition materials and structures technologies from lab research programs into robust and affordable operational systems; (2) to provide a forum for the exchange of information and ideas between technology developers and users; and (3) to provide senior NASA management with a review of current space transportation programs, related subjects, and specific technology needs. The workshop thus provided a foundation on which a NASA and industry effort to address space transportation materials and structures technologies can grow.

Integrated Marketing Communications

ERIC Educational Resources Information Center

Black, Jim

2004-01-01

Integration has become a cliche in enrollment management and student services circles. The term is used to describe everything from integrated marketing to seamless services. Often, it defines organizational structures, processes, student information systems, and even communities. In Robert Sevier's article in this issue of "College and…

The wildland-urban interface raster dataset of Catalonia.

PubMed

Alcasena, Fermín J; Evers, Cody R; Vega-Garcia, Cristina

2018-04-01

We provide the wildland urban interface (WUI) map of the autonomous community of Catalonia (Northeastern Spain). The map encompasses an area of some 3.21 million ha and is presented as a 150-m resolution raster dataset. Individual housing location, structure density and vegetation cover data were used to spatially assess in detail the interface, intermix and dispersed rural WUI communities with a geographical information system. Most WUI areas concentrate in the coastal belt where suburban sprawl has occurred nearby or within unmanaged forests. This geospatial information data provides an approximation of residential housing potential for loss given a wildfire, and represents a valuable contribution to assist landscape and urban planning in the region.

The NIFSTD and BIRNLex Vocabularies: Building Comprehensive Ontologies for Neuroscience

PubMed Central

Bug, William J.; Ascoli, Giorgio A.; Grethe, Jeffrey S.; Gupta, Amarnath; Fennema-Notestine, Christine; Laird, Angela R.; Larson, Stephen D.; Rubin, Daniel; Shepherd, Gordon M.; Turner, Jessica A.; Martone, Maryann E.

2009-01-01

A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology for describing and retrieving neuroscience-relevant resources. Although the original NIF specification called for a loosely structured controlled vocabulary for describing neuroscience resources, as the NIF system evolved, the requirement for a formally structured ontology for neuroscience with sufficient granularity to describe and access a diverse collection of information became obvious. This requirement led to the NIF standardized (NIFSTD) ontology, a comprehensive collection of common neuroscience domain terminologies woven into an ontologically consistent, unified representation of the biomedical domains typically used to describe neuroscience data (e.g., anatomy, cell types, techniques), as well as digital resources (tools, databases) being created throughout the neuroscience community. NIFSTD builds upon a structure established by the BIRNLex, a lexicon of concepts covering clinical neuroimaging research developed by the Biomedical Informatics Research Network (BIRN) project. Each distinct domain module is represented using the Web Ontology Language (OWL). As much as has been practical, NIFSTD reuses existing community ontologies that cover the required biomedical domains, building the more specific concepts required to annotate NIF resources. By following this principle, an extensive vocabulary was assembled in a relatively short period of time for NIF information annotation, organization, and retrieval, in a form that promotes easy extension and modification. We report here on the structure of the NIFSTD, and its predecessor BIRNLex, the principles followed in its construction and provide examples of its use within NIF. PMID:18975148

The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience.

PubMed

Bug, William J; Ascoli, Giorgio A; Grethe, Jeffrey S; Gupta, Amarnath; Fennema-Notestine, Christine; Laird, Angela R; Larson, Stephen D; Rubin, Daniel; Shepherd, Gordon M; Turner, Jessica A; Martone, Maryann E

2008-09-01

A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology for describing and retrieving neuroscience-relevant resources. Although the original NIF specification called for a loosely structured controlled vocabulary for describing neuroscience resources, as the NIF system evolved, the requirement for a formally structured ontology for neuroscience with sufficient granularity to describe and access a diverse collection of information became obvious. This requirement led to the NIF standardized (NIFSTD) ontology, a comprehensive collection of common neuroscience domain terminologies woven into an ontologically consistent, unified representation of the biomedical domains typically used to describe neuroscience data (e.g., anatomy, cell types, techniques), as well as digital resources (tools, databases) being created throughout the neuroscience community. NIFSTD builds upon a structure established by the BIRNLex, a lexicon of concepts covering clinical neuroimaging research developed by the Biomedical Informatics Research Network (BIRN) project. Each distinct domain module is represented using the Web Ontology Language (OWL). As much as has been practical, NIFSTD reuses existing community ontologies that cover the required biomedical domains, building the more specific concepts required to annotate NIF resources. By following this principle, an extensive vocabulary was assembled in a relatively short period of time for NIF information annotation, organization, and retrieval, in a form that promotes easy extension and modification. We report here on the structure of the NIFSTD, and its predecessor BIRNLex, the principles followed in its construction and provide examples of its use within NIF.

The Energy Industry Profile of ISO/DIS 19115-1: Facilitating Discovery and Evaluation of, and Access to Distributed Information Resources

NASA Astrophysics Data System (ADS)

Hills, S. J.; Richard, S. M.; Doniger, A.; Danko, D. M.; Derenthal, L.; Energistics Metadata Work Group

2011-12-01

A diverse group of organizations representative of the international community involved in disciplines relevant to the upstream petroleum industry, - energy companies, - suppliers and publishers of information to the energy industry, - vendors of software applications used by the industry, - partner government and academic organizations, has engaged in the Energy Industry Metadata Standards Initiative. This Initiative envisions the use of standard metadata within the community to enable significant improvements in the efficiency with which users discover, evaluate, and access distributed information resources. The metadata standard needed to realize this vision is the initiative's primary deliverable. In addition to developing the metadata standard, the initiative is promoting its adoption to accelerate realization of the vision, and publishing metadata exemplars conformant with the standard. Implementation of the standard by community members, in the form of published metadata which document the information resources each organization manages, will allow use of tools requiring consistent metadata for efficient discovery and evaluation of, and access to, information resources. While metadata are expected to be widely accessible, access to associated information resources may be more constrained. The initiative is being conducting by Energistics' Metadata Work Group, in collaboration with the USGIN Project. Energistics is a global standards group in the oil and natural gas industry. The Work Group determined early in the initiative, based on input solicited from 40+ organizations and on an assessment of existing metadata standards, to develop the target metadata standard as a profile of a revised version of ISO 19115, formally the "Energy Industry Profile of ISO/DIS 19115-1 v1.0" (EIP). The Work Group is participating on the ISO/TC 211 project team responsible for the revision of ISO 19115, now ready for "Draft International Standard" (DIS) status. With ISO 19115 an established, capability-rich, open standard for geographic metadata, EIP v1 is expected to be widely acceptable within the community and readily sustainable over the long-term. The EIP design, also per community requirements, will enable discovery, evaluation, and access to types of information resources considered important to the community, including structured and unstructured digital resources, and physical assets such as hardcopy documents and material samples. This presentation will briefly review the development of this initiative as well as the current and planned Work Group activities. More time will be spent providing an overview of the EIP v1, including the requirements it prescribes, design efforts made to enable automated metadata capture and processing, and the structure and content of its documentation, which was written to minimize ambiguity and facilitate implementation. The Work Group considers EIP v1 a solid initial design for interoperable metadata, and first step toward the vision of the Initiative.

The role of banks in the Brazilian interbank market: Does bank type matter?

NASA Astrophysics Data System (ADS)

Cajueiro, Daniel O.; Tabak, Benjamin M.

2008-12-01

This paper analyzes the Brazilian interbank network structure using a complex network-based approach. Results suggest a weak evidence of community structure, high heterogeneity of the network and that this market is characterized by money centers having exposures to many banks. Furthermore, we go beyond the structure of the network using information about the characteristics of the nodes and a non-parametric test in order to understand the role of the banks in the interbanking market.

Effects of potentization in aqueous solutions.

PubMed

Schulte, J

1999-10-01

Over the past two decades, research into structure formation and structure conservation in water has created a significant interest among the homeopathy research community. The formation of sustained static and dynamic structures in aqueous solutions is thought to be synonymous with the possible storage of information in associated liquids. Prominent models and experiments considering this possibility are presented in this paper, and some of their subtleties, which were not given much room in the respective original publications, will be elucidated in more detail here.

Mixed cropping regimes promote the soil fungal community under zero tillage.

PubMed

Silvestro, L B; Biganzoli, F; Stenglein, S A; Forjan, H; Manso, L; Moreno, M V

2018-07-01

Fungi of yield soils represent a significant portion of the microbial biomass and reflect sensitivity to changes in the ecosystem. Our hypothesis was that crops included in cropping regimes under the zero tillage system modify the structure of the soil fungi community. Conventional and molecular techniques provide complementary information for the analysis of diversity of fungal species and successful information to accept our hypothesis. The composition of the fungal community varied according to different crops included in the cropping regimes. However, we detected other factors as sources of variation among them, season and sampling depth. The mixed cropping regimes including perennial pastures and one crop per year promote fungal diversity and species with potential benefit to soil and crop. The winter season and 0-5 cm depth gave the largest evenness and fungal diversity. Trichoderma aureoviride and Rhizopus stolonifer could be used for monitoring changes in soil under zero tillage.

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.

Crystal Structures of the SpoIID Lytic Transglycosylases Essential for Bacterial Sporulation.

PubMed

Nocadello, Salvatore; Minasov, George; Shuvalova, Ludmilla S; Dubrovska, Ievgeniia; Sabini, Elisabetta; Anderson, Wayne F

2016-07-15

Bacterial spores are the most resistant form of life known on Earth and represent a serious problem for (i) bioterrorism attack, (ii) horizontal transmission of microbial pathogens in the community, and (iii) persistence in patients and in a nosocomial environment. Stage II sporulation protein D (SpoIID) is a lytic transglycosylase (LT) essential for sporulation. The LT superfamily is a potential drug target because it is active in essential bacterial processes involving the peptidoglycan, which is unique to bacteria. However, the absence of structural information for the sporulation-specific LT enzymes has hindered mechanistic understanding of SpoIID. Here, we report the first crystal structures with and without ligands of the SpoIID family from two community relevant spore-forming pathogens, Bacillus anthracis and Clostridium difficile. The structures allow us to visualize the overall architecture, characterize the substrate recognition model, identify critical residues, and provide the structural basis for catalysis by this new family of enzymes. © 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

Microbes on mountainsides: Contrasting elevational patterns of bacterial and plant diversity

PubMed Central

Bryant, Jessica A.; Lamanna, Christine; Morlon, Hélène; Kerkhoff, Andrew J.; Enquist, Brian J.; Green, Jessica L.

2008-01-01

The study of elevational diversity gradients dates back to the foundation of biogeography. Although elevational patterns of plant and animal diversity have been studied for centuries, such patterns have not been reported for microorganisms and remain poorly understood. Here, in an effort to assess the generality of elevational diversity patterns, we examined soil bacterial and plant diversity along an elevation gradient. To gain insight into the forces that structure these patterns, we adopted a multifaceted approach to incorporate information about the structure, diversity, and spatial turnover of montane communities in a phylogenetic context. We found that observed patterns of plant and bacterial diversity were fundamentally different. While bacterial taxon richness and phylogenetic diversity decreased monotonically from the lowest to highest elevations, plants followed a unimodal pattern, with a peak in richness and phylogenetic diversity at mid-elevations. At all elevations bacterial communities had a tendency to be phylogenetically clustered, containing closely related taxa. In contrast, plant communities did not exhibit a uniform phylogenetic structure across the gradient: they became more overdispersed with increasing elevation, containing distantly related taxa. Finally, a metric of phylogenetic beta-diversity showed that bacterial lineages were not randomly distributed, but rather exhibited significant spatial structure across the gradient, whereas plant lineages did not exhibit a significant phylogenetic signal. Quantifying the influence of sample scale in intertaxonomic comparisons remains a challenge. Nevertheless, our findings suggest that the forces structuring microorganism and macroorganism communities along elevational gradients differ. PMID:18695215

Mapping an appropriate health promotion approach for crèches in an informal settlement.

PubMed

Brijlal, P; Gordon, N

2005-02-01

People living in informal settlements in South Africa experience the double burden of poverty and ill health. Wallacedene, an informal settlement was highlighted in the media as being a socially and otherwise deprived community, with many accompanying health problems. It was against this background that this study was conducted to gain a better understanding of the health and oral health status of children attending crèches in Wallacedene. It was designed to inform the mapping of an appropriate approach to develop a health promotion programme for crèches. Baseline data were collected through oral and general health examinations, site observations, a structured questionnaire and interviews with key people working with the children at two crèches. The results indicate poor oral and general health. Gingival inflammation (82.8%), caries (81.5%), and moderate to abundant plaque deposits (95.7%), fungal infections (33.9%), runny nose (51.4%), lymphadenopathy (45.7%) and itchy skin (5.7%) were found. Caregivers were not well informed about oral health. However, they were enthusiastic to engage in new interventions. The community was impoverished; public health interventions were limited with minimal resources such as health centres and voluntary service providers. The limited resources were not coordinated and did not adequately address the health and educational needs of the children. A multi-sectoral approach focusing on community development is an appropriate approach to address the needs of crèche children in this community.

Controls on bacterial and archaeal community structure and greenhouse gas production in natural, mined, and restored Canadian peatlands

PubMed Central

Basiliko, Nathan; Henry, Kevin; Gupta, Varun; Moore, Tim R.; Driscoll, Brian T.; Dunfield, Peter F.

2013-01-01

Northern peatlands are important global C reservoirs, largely because of their slow rates of microbial C mineralization. Particularly in sites that are heavily influenced by anthropogenic disturbances, there is scant information about microbial ecology and whether or not microbial community structure influences greenhouse gas production. This work characterized communities of bacteria and archaea using terminal restriction fragment length polymorphism (T-RFLP) and sequence analysis of 16S rRNA and functional genes across eight natural, mined, or restored peatlands in two locations in eastern Canada. Correlations were explored among chemical properties of peat, bacterial and archaeal community structure, and carbon dioxide (CO2) and methane (CH4) production rates under oxic and anoxic conditions. Bacteria and archaea similar to those found in other peat soil environments were detected. In contrast to other reports, methanogen diversity was low in our study, with only 2 groups of known or suspected methanogens. Although mining and restoration affected substrate availability and microbial activity, these land-uses did not consistently affect bacterial or archaeal community composition. In fact, larger differences were observed between the two locations and between oxic and anoxic peat samples than between natural, mined, and restored sites, with anoxic samples characterized by less detectable bacterial diversity and stronger dominance by members of the phylum Acidobacteria. There were also no apparent strong linkages between prokaryote community structure and CH4 or CO2 production, suggesting that different organisms exhibit functional redundancy and/or that the same taxa function at very different rates when exposed to different peat substrates. In contrast to other earlier work focusing on fungal communities across similar mined and restored peatlands, bacterial and archaeal communities appeared to be more resistant or resilient to peat substrate changes brought about by these land uses. PMID:23914185

Insights into the structure of plant-insect communities: Specialism and generalism in a regional set of non-pollinating fig wasp communities

NASA Astrophysics Data System (ADS)

Farache, F. H. A.; Cruaud, A.; Rasplus, J.-Y.; Cerezini, M. T.; Rattis, L.; Kjellberg, F.; Pereira, R. A. S.

2018-07-01

Insects show a multitude of symbiotic interactions that may vary in degree of specialization and structure. Gall-inducing insects and their parasitoids are thought to be relatively specialized organisms, but despite their ecological importance, the organization and structure of the interactions they establish with their hosts has seldom been investigated in tropical communities. Non-pollinating fig wasps (NPFW) are particularly interesting organisms for the study of ecological networks because most species strictly develop their offspring within fig inflorescences, and show a multitude of life history strategies. They can be gall-makers, cleptoparasites or parasitoids of pollinating or of other non-pollinating fig wasps. Here we analysed a set of non-pollinating fig wasp communities associated with six species of Ficus section Americanae over a wide area. This allowed us to investigate patterns of specialization in a diverse community composed of monophagous and polyphagous species. We observed that most NPFW species were cleptoparasites and parasitoids, colonizing figs several days after oviposition by pollinators. Most species that occurred in more than one host were much more abundant in a single preferential host, suggesting specialization. The food web established between wasps and figs shows structural properties that are typical of specific antagonistic relationships, especially of endophagous insect networks. Two species that occurred in all available hosts were highly abundant in the network, suggesting that in some cases generalized species can be more competitive than strict specialists. The Neotropical and, to a lesser extent, Afrotropical NPFW communities seem to be more generalized than other NPFW communities. However, evidence of host sharing in the Old World is quite limited, since most studies have focused on particular taxonomic groups (genera) of wasps instead of sampling the whole NPFW community. Moreover, the lack of quantitative information in previous studies prevents us from detecting patterns of host preferences in polyphagous species.

Plants regulate the effects of experimental warming on the soil microbial community in an alpine scrub ecosystem.

PubMed

Ma, Zhiliang; Zhao, Wenqiang; Zhao, Chunzhang; Wang, Dong; Liu, Mei; Li, Dandan; Liu, Qing

2018-01-01

Information on how soil microbial communities respond to warming is still scarce for alpine scrub ecosystems. We conducted a field experiment with two plant treatments (plant removal or undisturbed) subjected to warmed or unwarmed conditions to examine the effects of warming and plant removal on soil microbial community structures during the growing season in a Sibiraea angustata scrubland of the eastern Qinghai-Tibetan Plateau. The results indicate that experimental warming significantly influenced soil microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), but the warming effects were dependent on the plant treatments and sampling seasons. In the plant-removal plots, warming did not affect most of the microbial variables, while in the undisturbed plots, warming significantly increased the abundances of actinomycete and Gram-positive bacterial groups during the mid-growing season (July), but it did not affect the fungi groups. Plant removal significantly reduced fungal abundance throughout the growing season and significantly altered the soil microbial community structure in July. The interaction between warming and plant removal significantly influenced the soil MBC and MBN and the abundances of total microbes, bacteria and actinomycete throughout the growing season. Experimental warming significantly reduced the abundance of rare taxa, while the interaction between warming and plant removal tended to have strong effects on the abundant taxa. These findings suggest that the responses of soil microbial communities to warming are regulated by plant communities. These results provide new insights into how soil microbial community structure responds to climatic warming in alpine scrub ecosystems.

Plants regulate the effects of experimental warming on the soil microbial community in an alpine scrub ecosystem

PubMed Central

Ma, Zhiliang; Zhao, Wenqiang; Zhao, Chunzhang; Wang, Dong; Liu, Mei; Li, Dandan

2018-01-01

Information on how soil microbial communities respond to warming is still scarce for alpine scrub ecosystems. We conducted a field experiment with two plant treatments (plant removal or undisturbed) subjected to warmed or unwarmed conditions to examine the effects of warming and plant removal on soil microbial community structures during the growing season in a Sibiraea angustata scrubland of the eastern Qinghai–Tibetan Plateau. The results indicate that experimental warming significantly influenced soil microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), but the warming effects were dependent on the plant treatments and sampling seasons. In the plant-removal plots, warming did not affect most of the microbial variables, while in the undisturbed plots, warming significantly increased the abundances of actinomycete and Gram-positive bacterial groups during the mid-growing season (July), but it did not affect the fungi groups. Plant removal significantly reduced fungal abundance throughout the growing season and significantly altered the soil microbial community structure in July. The interaction between warming and plant removal significantly influenced the soil MBC and MBN and the abundances of total microbes, bacteria and actinomycete throughout the growing season. Experimental warming significantly reduced the abundance of rare taxa, while the interaction between warming and plant removal tended to have strong effects on the abundant taxa. These findings suggest that the responses of soil microbial communities to warming are regulated by plant communities. These results provide new insights into how soil microbial community structure responds to climatic warming in alpine scrub ecosystems. PMID:29668711

Detectability Thresholds and Optimal Algorithms for Community Structure in Dynamic Networks

NASA Astrophysics Data System (ADS)

Ghasemian, Amir; Zhang, Pan; Clauset, Aaron; Moore, Cristopher; Peel, Leto

2016-07-01

The detection of communities within a dynamic network is a common means for obtaining a coarse-grained view of a complex system and for investigating its underlying processes. While a number of methods have been proposed in the machine learning and physics literature, we lack a theoretical analysis of their strengths and weaknesses, or of the ultimate limits on when communities can be detected. Here, we study the fundamental limits of detecting community structure in dynamic networks. Specifically, we analyze the limits of detectability for a dynamic stochastic block model where nodes change their community memberships over time, but where edges are generated independently at each time step. Using the cavity method, we derive a precise detectability threshold as a function of the rate of change and the strength of the communities. Below this sharp threshold, we claim that no efficient algorithm can identify the communities better than chance. We then give two algorithms that are optimal in the sense that they succeed all the way down to this threshold. The first uses belief propagation, which gives asymptotically optimal accuracy, and the second is a fast spectral clustering algorithm, based on linearizing the belief propagation equations. These results extend our understanding of the limits of community detection in an important direction, and introduce new mathematical tools for similar extensions to networks with other types of auxiliary information.

Community Resilience, the Foundation for Earth Science and the ESIP Federation: Bouncing Forward with Collective Impact

NASA Astrophysics Data System (ADS)

Robinson, E.

2015-12-01

The Federal Government has a long history of cross-community coordination between the Scientific Research community, and the Earth Observations and Data Provider communities. Since 1998, the Federation of Earth Science Information Partners (ESIP), organically organized using a collective impact approach that fostered these interactions primarily around Earth science interoperability problems. Unlike most collaborations, collective impact initiatives named in 2011 by the Stanford Social Innovation Review, involve a backbone infrastructure, a dedicated staff, and a structured process that leads to a common agenda, shared measurement, continuous communication, and mutually reinforcing activities among all participants. Over the last ten years, the Foundation for Earth Science (FES) has a proven track record of providing backbone support to ESIP. This presentation will cover FES's general approach to providing backbone support that enables communities to define shared agenda and then will show these practices in two case studies: (1) ESIP at-large as a mature network of developed partnerships and (2) a new project, the Local Community Resilience cluster. This new cluster aims to bridge the gap from the established ESIP network to engage local communities in order to equip citizens, professionals, and other decision-makers with the scientific underpinning necessary to make informed decisions (bounce forward) for society by leveraging the strong existing ESIP community, the backbone capabilities of FES and extending Federal Earth Science, Technology and Innovation Investments.

Overlapping communities from dense disjoint and high total degree clusters

NASA Astrophysics Data System (ADS)

Zhang, Hongli; Gao, Yang; Zhang, Yue

2018-04-01

Community plays an important role in the field of sociology, biology and especially in domains of computer science, where systems are often represented as networks. And community detection is of great importance in the domains. A community is a dense subgraph of the whole graph with more links between its members than between its members to the outside nodes, and nodes in the same community probably share common properties or play similar roles in the graph. Communities overlap when nodes in a graph belong to multiple communities. A vast variety of overlapping community detection methods have been proposed in the literature, and the local expansion method is one of the most successful techniques dealing with large networks. The paper presents a density-based seeding method, in which dense disjoint local clusters are searched and selected as seeds. The proposed method selects a seed by the total degree and density of local clusters utilizing merely local structures of the network. Furthermore, this paper proposes a novel community refining phase via minimizing the conductance of each community, through which the quality of identified communities is largely improved in linear time. Experimental results in synthetic networks show that the proposed seeding method outperforms other seeding methods in the state of the art and the proposed refining method largely enhances the quality of the identified communities. Experimental results in real graphs with ground-truth communities show that the proposed approach outperforms other state of the art overlapping community detection algorithms, in particular, it is more than two orders of magnitude faster than the existing global algorithms with higher quality, and it obtains much more accurate community structure than the current local algorithms without any priori information.

Community Wind: Once Again Pushing the Envelope of Project Finance

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

bolinger, Mark A.

In the United States, the 'community wind' sector - loosely defined here as consisting of relatively small utility-scale wind power projects that sell power on the wholesale market and that are developed and owned primarily by local investors - has historically served as a 'test bed' or 'proving grounds' for up-and-coming wind turbine manufacturers that are trying to break into the U.S. wind power market. For example, community wind projects - and primarily those located in the state of Minnesota - have deployed the first U.S. installations of wind turbines from Suzlon (in 2003), DeWind (2008), Americas Wind Energy (2008)more » and later Emergya Wind Technologies (2010), Goldwind (2009), AAER/Pioneer (2009), Nordic Windpower (2010), Unison (2010), and Alstom (2011). Thus far, one of these turbine manufacturers - Suzlon - has subsequently achieved some success in the broader U.S. wind market as well. Just as it has provided a proving grounds for new turbines, so too has the community wind sector served as a laboratory for experimentation with innovative new financing structures. For example, a variation of one of the most common financing arrangements in the U.S. wind market today - the special allocation partnership flip structure (see Figure 1 in Section 2.1) - was first developed by community wind projects in Minnesota more than a decade ago (and is therefore sometimes referred to as the 'Minnesota flip' model) before being adopted by the broader wind market. More recently, a handful of community wind projects built over the past year have been financed via new and creative structures that push the envelope of wind project finance in the U.S. - in many cases, moving beyond the now-standard partnership flip structures involving strategic tax equity investors. These include: (1) a 4.5 MW project in Maine that combines low-cost government debt with local tax equity, (2) a 25.3 MW project in Minnesota using a sale/leaseback structure, (3) a 10.5 MW project in South Dakota financed by an intrastate offering of both debt and equity, (4) a 6 MW project in Washington state that taps into New Markets Tax Credits using an 'inverted' or 'pass-through' lease structure, and (5) a 9 MW project in Oregon that combines a variety of state and federal incentives and loans with unconventional equity from high-net-worth individuals. In most cases, these are first-of-their-kind structures that could serve as useful examples for other projects - both community and commercial wind alike. This report describes each of these innovative new financing structures in some detail, using a case-study approach. The purpose is twofold: (1) to disseminate useful information on these new financial structures, most of which are widely replicable; and (2) to highlight the recent policy changes - many of them temporary unless extended - that have facilitated this innovation. Although the community wind market is currently only a small sub-sector of the U.S. wind market - as defined here, less than 2% of the overall market at the end of 2009 (Wiser and Bolinger 2010) - its small size belies its relevance to the broader market. As such, the information provided in this report has relevance beyond its direct application to the community wind sector. The next two sections of this report briefly summarize how most community wind projects in the U.S. have been financed historically (i.e., prior to this latest wave of innovation) and describe the recent federal policy changes that have enabled a new wave of financial innovation to occur, respectively. Section 4 contains brief case studies of how each of the five projects mentioned above were financed, noting the financial significance of each. Finally, Section 5 concludes by distilling a number of general observations or pertinent lessons learned from the experiences of these five projects.« less

Community College Biology Lesson Index.

ERIC Educational Resources Information Center

Manteuffel, Mary S., Comp.; Herrick, Kathie, Comp.

This catalog contains lesson descriptions of the available biology lessons on PLATO IV, compiled to assist instructors in planning their curricula. Information is provided for 87 lessons in the following areas: introductory material on experimental tools and techniques; chemical basis of life; cellular structure and function; reproduction and…

Community College Biology Lesson Catalogue.

ERIC Educational Resources Information Center

Herrick, Kathie G.

This catalog contains descriptions of the available biology lessons on PLATO IV, compiled to assist instructors in planning their curricula. Information is provided for 87 lessons in the following areas: experimental tools and techniques; chemical basis of life; cellular structure and function; bioenergetics - enzymes and cellular metabolism;…

High-resolution phylogenic microbial community profiling

USDA-ARS?s Scientific Manuscript database

PIECE (Plant Intron Exon Comparison and Evolution) is a web-accessible database that houses intron and exon information of plant genes. PIECE serves as a resource for biologists interested in comparing intron–exon organization and provides valuable insights into the evolution of gene structure in pl...

Local Clerical and Custodial Wage Administration Practices.

ERIC Educational Resources Information Center

Bakos, Estelle

Moraine Valley Community College (MVCC), Illinois, collected salary-related data for clerical and custodial personnel, in order to establish a compatible wage structure, provide business management course information, and improve secretarial career counseling. Limiting data sampling to the geographical boundries of the Moraine Valley District…

Medical Terminology.

ERIC Educational Resources Information Center

Mercer County Community Coll., Trenton, NJ.

This document is one of a series of student workbooks developed for workplace skill development courses or workshops by Mercer County Community College (New Jersey) and its partners. Designed to help employees of medical establishments learn medical terminology, this course provides information on basic word structure, body parts, suffixes and…

Discovering Network Structure Beyond Communities

NASA Astrophysics Data System (ADS)

Nishikawa, Takashi; Motter, Adilson E.

2011-11-01

To understand the formation, evolution, and function of complex systems, it is crucial to understand the internal organization of their interaction networks. Partly due to the impossibility of visualizing large complex networks, resolving network structure remains a challenging problem. Here we overcome this difficulty by combining the visual pattern recognition ability of humans with the high processing speed of computers to develop an exploratory method for discovering groups of nodes characterized by common network properties, including but not limited to communities of densely connected nodes. Without any prior information about the nature of the groups, the method simultaneously identifies the number of groups, the group assignment, and the properties that define these groups. The results of applying our method to real networks suggest the possibility that most group structures lurk undiscovered in the fast-growing inventory of social, biological, and technological networks of scientific interest.

Where you live matters: Structural correlates of HIV risk behavior among young men who have sex with men in Metro Detroit

PubMed Central

Bauermeister, José A.; Eaton, Lisa; Andrzejewski, Jack; Loveluck, Jimena; VanHemert, William; Pingel, Emily S.

2017-01-01

Structural characteristics are linked to HIV/STI risks, yet few studies have examined the mechanisms through which structural characteristics influence the HIV/STI risk of young men who have sex with men (YMSM). Using data from a cross-sectional survey of YMSM (ages 18–29) living in Detroit Metro (N=328; 9% HIV-positive; 49% Black, 27% White, 15% Latino, 9% Other race), we used multilevel modeling to examine the association between community-level characteristics (e.g., socioeconomic disadvantage; distance to LGBT-affirming institutions) and YMSM’s HIV testing behavior and likelihood of engaging in unprotected anal intercourse with serodiscordant partner(s). We accounted for individual-level factors (race/ethnicity, poverty, homelessness, alcohol and marijuana use) and contextual factors (community acceptance and stigma regarding same-sex sexuality). YMSM in neighborhoods with greater disadvantage and nearer to an AIDS Service Organization were more likely to have tested for HIV and less likely to report serodiscordant partners. Community acceptance was associated with having tested for HIV. Efforts to address YMSM’s exposure to structural barriers in Detroit Metro are needed to inform HIV prevention strategies from a socioecological perspective. PMID:26334445

NCBI GEO: archive for high-throughput functional genomic data.

PubMed

Barrett, Tanya; Troup, Dennis B; Wilhite, Stephen E; Ledoux, Pierre; Rudnev, Dmitry; Evangelista, Carlos; Kim, Irene F; Soboleva, Alexandra; Tomashevsky, Maxim; Marshall, Kimberly A; Phillippy, Katherine H; Sherman, Patti M; Muertter, Rolf N; Edgar, Ron

2009-01-01

The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest public repository for high-throughput gene expression data. Additionally, GEO hosts other categories of high-throughput functional genomic data, including those that examine genome copy number variations, chromatin structure, methylation status and transcription factor binding. These data are generated by the research community using high-throughput technologies like microarrays and, more recently, next-generation sequencing. The database has a flexible infrastructure that can capture fully annotated raw and processed data, enabling compliance with major community-derived scientific reporting standards such as 'Minimum Information About a Microarray Experiment' (MIAME). In addition to serving as a centralized data storage hub, GEO offers many tools and features that allow users to effectively explore, analyze and download expression data from both gene-centric and experiment-centric perspectives. This article summarizes the GEO repository structure, content and operating procedures, as well as recently introduced data mining features. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/.

"You're Really Gonna Kick Us All Out?" Sustaining Safe Spaces for Community-Based HIV Prevention and Control among Black Men Who Have Sex with Men.

PubMed

Garcia, Jonathan; Parker, Caroline; Parker, Richard G; Wilson, Patrick A; Philbin, Morgan M; Hirsch, Jennifer S

2015-01-01

Black men who have sex with men (BMSM) experience among the highest rates of HIV infection in the United States. We conducted a community-based ethnography in New York City to identify the structural and environmental factors that influence BMSMs vulnerability to HIV and their engagement with HIV prevention services. Methods included participant observation at community-based organizations (CBOs) in New York City, in-depth interviews with 31 BMSM, and 17 key informant interviews. Our conceptual framework shows how creating and sustaining safe spaces could be a critical environmental approach to reduce vulnerability to HIV among BMSM. Participant observation, in-depth and key informant interviews revealed that fear and mistrust characterized men's relation to social and public institutions, such as churches, schools, and the police. This fear and mistrust created HIV vulnerability among the BMSM in our sample by challenging engagement with services. Our findings suggest that to be successful, HIV prevention efforts must address these structural and environmental vulnerabilities. Among the CBOs that we studied, "safe spaces" emerged as an important tool for addressing these environmental vulnerabilities. CBOs used safe spaces to provide social support, to address stigma, to prepare men for the workforce, and to foster a sense of community among BMSM. In addition, safe spaces were used for HIV and STI testing and treatment campaigns. Our ethnographic findings suggest that safe spaces represent a promising but so far under-utilized part of HIV prevention infrastructure. Safe spaces seem integral to high impact comprehensive HIV prevention efforts, and may be considered more appropriately as part of HIV capacity-building rather than being nested within program-specific funding structures.

Building social capital to promote adolescent wellbeing: a qualitative study with teens in a Latino agricultural community.

PubMed

Raymond-Flesch, Marissa; Auerswald, Colette; McGlone, Linda; Comfort, Megan; Minnis, Alexandra

2017-02-08

Latino youth, particularly in rural settings, experience significant disparities in rates of teen pregnancy and violence. Few data are available regarding social and structural influences on Latino youth's developmental trajectories, specifically on factors that promote wellbeing and protect them from engagement in high-risk sexual and violence-related behaviors. Forty-two youth aged 13 to 19 years old were recruited from middle schools and youth leadership programs to participate in one of eight community-based focus groups in Salinas, a predominantly Latino, urban center in California's rural central coast. Focus groups covered youths' experiences with the risk and protective factors associated with exposure to violence and romantic relationships. Four researchers completed coding with a Grounded Theory approach, informed by the theoretical frameworks of the social ecological model and social capital. The study's design and participant recruitment were informed by a community advisory board of local youth-serving organizations and health care providers. Participants described family lives rich in bonding social capital, with strong ties to parents and near-peer family members. They reported that while parents had a strong desire to promote healthful behaviors and social mobility, they often lacked the bridging or linking social capital required to help youth navigate structural systems, such as college applications and access to confidential health care. Youth also reported that some families link their children to negative social capital, such as exposure to gang affiliation. Adolescents in this agricultural community identified robust sources of bonding social capital within their families. However, they identified limitations in their families' capacities to link them to structural resources in education, employment, and health care that could support healthful behaviors and upward social mobility.

Whither or wither geomicrobiology in the era of 'community metagenomics'

USGS Publications Warehouse

Oremland, R.S.; Capone, D.G.; Stolz, J.F.; Fuhrman, J.

2005-01-01

Molecular techniques are valuable tools that can improve our understanding of the structure of microbial communities. They provide the ability to probe for life in all niches of the biosphere, perhaps even supplanting the need to cultivate microorganisms or to conduct ecophysiological investigations. However, an overemphasis and strict dependence on such large information-driven endeavours as environmental metagenomics could overwhelm the field, to the detriment of microbial ecology. We now call for more balanced, hypothesis-driven research efforts that couple metagenomics with classic approaches.

Effects of species' similarity and dominance on the functional and phylogenetic structure of a plant meta-community.

PubMed

Chalmandrier, L; Münkemüller, T; Lavergne, S; Thuiller, W

2015-01-01

Different assembly processes drive the spatial structure of meta-communities (beta-diversity). Recently, functional and phylogenetic diversities have been suggested as indicators of these assembly processes. Assuming that diversity is a good proxy for niche overlap, high beta-diversity along environmental gradients should be the result of environmental filtering while low beta-diversity should stem from competitive interactions. So far, studies trying to disentangle the relative importance of these assembly processes have provided mixed results. One reason for this may be that these studies often rely on a single measure of diversity and thus implicitly make a choice on how they account for species relative abundances and how species similarities are captured by functional traits or phylogeny. Here, we tested the effect of gradually scaling the importance of dominance (the weight given to dominant vs. rare species) and species similarity (the weight given to small vs. large similarities) on resulting beta-diversity patterns of an alpine plant meta-community. To this end, we combined recent extensions of the Hill numbers framework with Pagel's phylogenetic tree transformation approach. We included functional (based on the leaf-height-seed spectrum) and phylogenetic facets of beta-diversity in our analysis and explicitly accounted for effects of environmental and spatial covariates. We found that functional beta-diversity, was high when the same weight was given to dominant vs. rare species and to large vs. small species' similarities. In contrast, phylogenetic beta-diversity was low when greater weight was given to dominant species and small species' similarities. Those results suggested that different environments along the gradients filtered different species according to their functional traits, while, the same competitive lineages dominated communities across the gradients. Our results highlight that functional vs. phylogenetic facets, presence-absence vs. abundance structure and different weights of species' dissimilarity provide complementary and important information on the drivers of meta-community structure. By utilizing the full extent of information provided by the flexible frameworks of Hill numbers and Pagel's tree transformation, we propose a new approach to disentangle the patterns resulting from different assembly processes.

Baseline assessment of instream and riparian-zone biological resources on the Rio Grande in and near Big Bend National Park, Texas

USGS Publications Warehouse

Moring, James Bruce

2002-01-01

Five study sites, and a sampling reach within each site, were established on the Rio Grande in and near Big Bend National Park in 1999 to provide the National Park Service with data and information on the status of stream habitat, fish communities, and benthic macroinvertebrates. Differences in stream-habitat conditions and riparian vegetation reflect differences in surface geology among the five sampling reaches. In the most upstream reach, Colorado Canyon, where igneous rock predominates, streambed material is larger; and riparian vegetation is less diverse and not as dense as in the four other, mostly limestone reaches. Eighteen species of fish and a total of 474 individuals were collected among the five reaches; 348 of the 474 were minnows. The most fish species (15) were collected at the Santa Elena reach and the fewest species (9) at the Colorado Canyon and Johnson Ranch reaches. The fish community at Colorado Canyon was least like the fish communities at the four other reaches. Fish trophic structure reflected fish-community structure among the five reaches. Invertivores made up at least 60 percent of the trophic structure at all reaches except Colorado Canyon. Piscivores dominated the trophic structure at Colorado Canyon. At the four other reaches, piscivores were the smallest trophic group. Eighty percent of the benthic macroinvertebrate taxa collected were aquatic insects. Two species of blackfly were the most frequently collected invertebrate taxon. Net-spinning caddisflies were common at all reaches except Santa Elena. The aquatic-insect community at the Boquillas reach was least similar to the aquatic-insect community at the other reaches.

Gender-Based Violence and Armed Conflict: A Community-Informed Socioecological Conceptual Model From Northeastern Uganda

PubMed Central

Mootz, Jennifer J.; Stabb, Sally D.; Mollen, Debra

2017-01-01

The high prevalence of gender-based violence (GBV) in armed conflict has been documented in various national contexts, but less is known about the complex pathways that constitute the relation between the two. Employing a community-based collaborative approach, we constructed a community-informed socioecological conceptual model from a feminist perspective, detailing how armed conflict relates to GBV in a conflict-affected rural community in Northeastern Uganda. The research questions were as follows: (1) How does the community conceptualize GBV? and (2) How does armed conflict relate to GBV? Nine focus group discussions divided by gender, age, and profession and six key informant interviews were conducted. Participants’ ages ranged from 9 to 80 years (n =34 girls/women, n = 43 boys/men). Grounded theory was used in analysis. Participants conceptualized eight forms of and 22 interactive variables that contributed to GBV. Armed conflict affected physical violence/quarreling, sexual violence, early marriage, and land grabbing via a direct pathway and four indirect pathways initiated through looting of resources, militarization of the community, death of a parent(s) or husband, and sexual violence. The findings suggest that community, organizational, and policy-level interventions, which include attention to intersecting vulnerabilities for exposure to GBV in conflict-affected settings, should be prioritized. While tertiary psychological interventions with women and girls affected by GBV in these areas should not be eliminated, we suggest that policy makers and members of community and organizational efforts make systemic and structural changes. Online slides for instructors who want to use this article for teaching are available on PWQ’s website at http://journals.sagepub.com/page/pwq/suppl/index PMID:29563663

Gender-Based Violence and Armed Conflict: A Community-Informed Socioecological Conceptual Model From Northeastern Uganda.

PubMed

Mootz, Jennifer J; Stabb, Sally D; Mollen, Debra

2017-01-01

The high prevalence of gender-based violence (GBV) in armed conflict has been documented in various national contexts, but less is known about the complex pathways that constitute the relation between the two. Employing a community-based collaborative approach, we constructed a community-informed socioecological conceptual model from a feminist perspective, detailing how armed conflict relates to GBV in a conflict-affected rural community in Northeastern Uganda. The research questions were as follows: (1) How does the community conceptualize GBV? and (2) How does armed conflict relate to GBV? Nine focus group discussions divided by gender, age, and profession and six key informant interviews were conducted. Participants' ages ranged from 9 to 80 years ( n =34 girls/women, n = 43 boys/men). Grounded theory was used in analysis. Participants conceptualized eight forms of and 22 interactive variables that contributed to GBV. Armed conflict affected physical violence/quarreling, sexual violence, early marriage, and land grabbing via a direct pathway and four indirect pathways initiated through looting of resources, militarization of the community, death of a parent(s) or husband, and sexual violence. The findings suggest that community, organizational, and policy-level interventions, which include attention to intersecting vulnerabilities for exposure to GBV in conflict-affected settings, should be prioritized. While tertiary psychological interventions with women and girls affected by GBV in these areas should not be eliminated, we suggest that policy makers and members of community and organizational efforts make systemic and structural changes. Online slides for instructors who want to use this article for teaching are available on PWQ 's website at http://journals.sagepub.com/page/pwq/suppl/index.

Common Infrastructure for Neo Scientific and Planetary Defense Missions

NASA Technical Reports Server (NTRS)

Adams, Robert; Wilks, Rodney

2009-01-01

While defending the Earth against collisions with asteroids and comets has garnered increasing attention over the past few decades, our knowledge of the threats and methods of mitigation remain inadequate. There exists a considerable gap in knowledge regarding the size, composition, location, internal structure and formation of near earth asteroids and comets. Although estimates have been made, critical experiments have not yet been conducted on the effectiveness of various proposed mitigation techniques. Closing this knowledge gap is of interest to both the planetary defense and planetary science communities. Increased scientific knowledge of asteroid and comet composition and structure can confirm or advance current theories about the formation of the solar system. This proposal suggests a joint effort between these two communities to provide an economical architecture that supports multiple launches of characterization and mitigation payloads with minimal response time. The science community can use this architecture for characterization missions of opportunity when multiple scientific targets or targets of uncommon scientific value present themselves, while the planetary defense community would be able to fire characterization or mitigation payloads at targets that present a threat to the Earth. Both communities would benefit from testing potential mitigation techniques, which would reveal information on the internal structure of asteroids and comets. In return, the Earth would have the beginnings of a viable response system should an impact threat prove real in the near future.

Managing uncertainty: Lessons from volcanic lava disruption of transportation infrastructure in Puna, Hawaii.

PubMed

Kim, Karl; Pant, Pradip; Yamashita, Eric

A recent lava flow in Puna, Hawaii, threatened to close one of the major highways serving the region. This article provides background information on the volcanic hazards and describes events, responses, and challenges associated with managing a complex, long-duration disaster. In addition to the need to better understand geologic hazards and threats, there is a need for timely information and effective response and recovery of transportation infrastructure. This requires coordination and sharing of information between scientists, emergency managers, transportation planners, government agencies, and community organizations. Transportation assets play a critical role in terms of problem definition, response, and recovery. The challenges with managing a long-duration event include: (1) determining when a sufficient threat level exists to close roads; (2) identifying transportation alternatives; (3) assessing impacts on communities including the direct threats to homes, businesses, structures, and infrastructure; (4) engaging communities in planning and deliberation of choices and alternatives; and (5) managing uncertainties and different reactions to hazards, threats, and risks. The transportation planning process provides a pathway for addressing initial community concerns. Focusing not just on roadways but also on travel behavior before, during, and after disasters is a vital aspect of building resilience. The experience in Puna with the volcano crisis is relevant to other communities seeking to adapt and manage long-term threats such as climate change, sea level risk, and other long-duration events.

When Common Birds Became Rare: Historical Records Shed Light on Long-Term Responses of Bird Communities to Global Change in the Largest Wetland of France.

PubMed

Galewski, Thomas; Devictor, Vincent

2016-01-01

Many species have suffered large population declines due to the anthropogenic influence on ecosystems. Understanding historical population trends is essential for informing best efforts to preserve species. We propose a new method to reconstruct the past structure of a regional species pool, based on historical naturalist literature. Qualitative information collected from annotated checklists and reports can be relevant to identify major long-term community changes. We reviewed ornithological literature on the Camargue, the largest wetland in France. We reconstructed the entire breeding bird community from 1830 to 2009 and translated historical data into semi-quantitative data. This data permitted a calculation of a Community Commonness Index to measure the average level of abundance of species in a community. The Community Specialization and Community Temperature Indices were used to evaluate the potential long-term impact of land-use and climate changes on the composition of the regional bird species pool. We found a decrease in average abundance and specialization between 1950 and 1989, suggesting that changes in land-use negatively impacted the structure and composition of the local bird community by reducing species abundance and removing habitat-specialists (e.g. Southern Grey Shrike, Greater Short-toed Lark). These results are likely to be linked with a major loss of natural habitats in the Camargue between 1942 and 1984 when natural areas and traditional farmland were converted into intensive cultivated lands. We also found fluctuations among species with high versus low temperature preference. However, long-term effects of climate change on the bird community might be blurred by the impact of land-use changes. Overall, our results contrast with those obtained from well-monitored colonial waterbirds showing long-term increases. Our results plead for a more regular use of historical naturalist data when examining long-term changes in species communities as they allow the establishment of an older temporal point of reference and consideration of species not covered by traditional monitoring schemes.

Privacy Practices of Health Social Networking Sites: Implications for Privacy and Data Security in Online Cancer Communities.

PubMed

Charbonneau, Deborah H

2016-08-01

While online communities for social support continue to grow, little is known about the state of privacy practices of health social networking sites. This article reports on a structured content analysis of privacy policies and disclosure practices for 25 online ovarian cancer communities. All of the health social networking sites in the study sample provided privacy statements to users, yet privacy practices varied considerably across the sites. The majority of sites informed users that personal information was collected about participants and shared with third parties (96%, n = 24). Furthermore, more than half of the sites (56%, n = 14) stated that cookies technology was used to track user behaviors. Despite these disclosures, only 36% (n = 9) offered opt-out choices for sharing data with third parties. In addition, very few of the sites (28%, n = 7) allowed individuals to delete their personal information. Discussions about specific security measures used to protect personal information were largely missing. Implications for privacy, confidentiality, consumer choice, and data safety in online environments are discussed. Overall, nurses and other health professionals can utilize these findings to encourage individuals seeking online support and participating in social networking sites to build awareness of privacy risks to better protect their personal health information in the digital age.

Characteristics of bacterial community in cloud water at Mt Tai: similarity and disparity under polluted and non-polluted cloud episodes

NASA Astrophysics Data System (ADS)

Wei, Min; Xu, Caihong; Chen, Jianmin; Zhu, Chao; Li, Jiarong; Lv, Ganglin

2017-04-01

Bacteria are widely distributed in atmospheric aerosols and are indispensable components of clouds, playing an important role in the atmospheric hydrological cycle. However, limited information is available about the bacterial community structure and function, especially for the increasing air pollution in the North China Plain. Here, we present a comprehensive characterization of bacterial community composition, function, variation, and environmental influence for cloud water collected at Mt Tai from 24 July to 23 August 2014. Using Miseq 16S rRNA gene sequencing, the highly diverse bacterial community in cloud water and the predominant phyla of Proteobacteria, Bacteroidetes, Cyanobacteria, and Firmicutes were investigated. Bacteria that survive at low temperature, radiation, and poor nutrient conditions were found in cloud water, suggesting adaption to an extreme environment. The bacterial gene functions predicted from the 16S rRNA gene using the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) suggested that the pathways related to metabolism and disease infections were significantly correlated with the predominant genera. The abundant genera Acinetobacter, Stenotrophomonas, Pseudomonas, and Empedobacter originated from a wide range of habitats including cloud condensation nuclei and ice nuclei active species, opportunistic pathogens, and functional species, demonstrating the importance of ecology and health in cloud water. Cluster analysis including hierarchical cluster (Hcluster) and principal coordinate analysis (PCoA) indicated a significant disparity between polluted and non-polluted samples. Linear discriminant analysis effect size (LEfSe) demonstrated that potential pathogens were enriched in the polluted cloud samples, whereas the diverse ecological function groups were significant in the non-polluted samples. Discrepant community structure determined by redundancy analysis (RDA) indicated that the major ions in cloud water and PM2. 5 in the atmosphere have a negative impact on bacteria, playing a vital role in shaping microbial community structure. The major ions might provide nutrition to bacteria and directly influence the bacterial community, whereas PM2. 5 in air has an indirect impact on bacterial community structure. During wet deposition, soluble particulate matter was dissolved in water droplets resulting in elevated concentration in cloud water. PM2. 5 was possibly associated with different origins and pathways of air mass as determined using source tracking by the backward trajectory, mainly related to long-range transport. This work enhanced our understanding of the characteristics of bacterial ecology in the atmospheric aqueous phase, highlighting the potential influence of environmental variables on the bacterial community in cloud processes. It may provide fundamental information of the bacterial community response in cloud water under increasing pollution. However, due to the limited sample size (13 samples) collected at the summit of Mt Tai, these issues need in-depth discussion. Further studies based on an annual series of field observation experiments and laboratory simulations will continue to track these issues.

Relationships between lines of evidence of pollution in estuarine areas: Linking contaminant levels with biomarker responses in mussels and with structure of macroinvertebrate benthic communities.

PubMed

De Los Ríos, A; Echavarri-Erasun, B; Lacorte, S; Sánchez-Ávila, J; De Jonge, M; Blust, R; Orbea, A; Juanes, J A; Cajaraville, M P

2016-10-01

Data obtained in a pollution survey performed in estuarine areas were integrated using multivariate statistics. The sites selected for the study were areas affected by treated and untreated urban discharges, harbours or industrial activities as well as reference sites. Mussels were transplanted to each site and after different times of exposure, samples of water, sediments and mussels were collected. Biomarkers were analysed on mussels after 3 and 21 days of transplant whereas concentrations of contaminants were measured in water, sediments and mussels after 21 days of transplant. The structure of macroinvertebrate benthic communities was studied in sediment samples. Studied variables were organised into 5 datasets, each one constituting a line of evidence (LOE): contaminants in water, contaminants in sediments, contaminants accumulated by transplanted mussels, biomarkers in transplanted mussels and changes in the structure of macroinvertebrate benthic communities of each sampling site. Principal Component Analysis (PCA) identified the variables of each LOE best explaining variability among sites. In order to know how LOEs relate to each other, Pearson's correlations were performed. Contaminants in sediments were not correlated with the rest of LOEs. Contaminants in water were significantly correlated with contaminants and biomarkers in mussels and with structure of macroinvertebrate benthic communities. Similarly, significant correlations were found between contaminants and biomarkers in mussels and between biomarkers in mussels and structure of macroinvertebrate benthic communities. In conclusion, biomarker responses give relevant information on pollution in estuarine areas and provide a link between chemical and ecological statuses of water bodies in the context of the Water Framework Directive. Copyright © 2016 Elsevier Ltd. All rights reserved.

[Identification of community leaders].

PubMed

Chevalier, S; Dedobbeleer, N; Tremblay, M

1995-01-01

Although many methods of measuring leadership have been developed in sociological studies, there are few articles on the feasibility of these methods. The goal of this study was to verify the feasibility of the "modified positional-reputational approach" developed by Nix. The study was conducted in a small community located north of Montreal. Nix's questionnaire was translated, adapted and administered to 49 key informants. Two hundred and fourteen leaders were selected. Three types of leaders were identified: the legitimizers, the effectors and the activists. Through a sociometric analysis, we established links between the different leaders and we described the power structure of the community. Despite a few shortcomings, Nix's approach was found extremely useful.

Lessons Learned from the Protección en Construcción Community Research Partnership.

PubMed

Martinez, Linda Sprague; Ndulue, Uchenna J; Brunette, Maria J

2012-01-01

PenC seeks to build community-university-labor partnership in order to design, implement and evaluate an intervention aimed at preventing falls and silica exposure among Latino construction workers. This study evaluated the PenC partnership process. Semi-structured partner interviews and surveys were used. Thematic, univariate and bivariate analyses were conducted; results were presented back to partners who then provided data context. Although all partners report increased capacity including new connections and knowledge, resident researchers, here promotores, are much more likely to share information with their neighbors and other local residents. Engaging residents can lead to deeper community penetration.

Lessons Learned from the Protección en Construcción Community Research Partnership

PubMed Central

Martinez, Linda Sprague; Ndulue, Uchenna J.; Brunette, Maria J.

2015-01-01

PenC seeks to build community-university-labor partnership in order to design, implement and evaluate an intervention aimed at preventing falls and silica exposure among Latino construction workers. This study evaluated the PenC partnership process. Semi-structured partner interviews and surveys were used. Thematic, univariate and bivariate analyses were conducted; results were presented back to partners who then provided data context. Although all partners report increased capacity including new connections and knowledge, resident researchers, here promotores, are much more likely to share information with their neighbors and other local residents. Engaging residents can lead to deeper community penetration. PMID:26005517

Understanding parenting in Manitoba First nations: implications for program development.

PubMed

Eni, Rachel; Rowe, Gladys

2011-01-01

This qualitative study introduced the "Manitoba First Nation Strengthening Families Maternal Child Health Pilot Project" program and evaluation methodologies. The study provided a knowledge base for programmers, evaluators, and communities to develop relevant health promotion, prevention, and intervention programming to assist in meeting health needs of pregnant women and young families. Sixty-five open-ended, semistructured interviews were completed in 13 communities. Data analysis was through grounded theory. Three major themes emerged from the data: interpersonal support and relationships; socioeconomic factors; and community initiatives. Complex structural, historical events compromise parenting; capacity and resilience are supported through informal and formal health and social supports.

Analysing taxonomic structures and local ecological processes in temperate forests in North Eastern China.

PubMed

Fan, Chunyu; Tan, Lingzhao; Zhang, Chunyu; Zhao, Xiuhai; von Gadow, Klaus

2017-10-30

One of the core issues of forest community ecology is the exploration of how ecological processes affect community structure. The relative importance of different processes is still under debate. This study addresses four questions: (1) how is the taxonomic structure of a forest community affected by spatial scale? (2) does the taxonomic structure reveal effects of local processes such as environmental filtering, dispersal limitation or interspecific competition at a local scale? (3) does the effect of local processes on the taxonomic structure vary with the spatial scale? (4) does the analysis based on taxonomic structures provide similar insights when compared with the use of phylogenetic information? Based on the data collected in two large forest observational field studies, the taxonomic structures of the plant communities were analyzed at different sampling scales using taxonomic ratios (number of genera/number of species, number of families/number of species), and the relationship between the number of higher taxa and the number of species. Two random null models were used and the "standardized effect size" (SES) of taxonomic ratios was calculated, to assess possible differences between the observed and simulated taxonomic structures, which may be caused by specific ecological processes. We further applied a phylogeny-based method to compare results with those of the taxonomic approach. As expected, the taxonomic ratios decline with increasing grain size. The quantitative relationship between genera/families and species, described by a linearized power function, showed a good fit. With the exception of the family-species relationship in the Jiaohe study area, the exponents of the genus/family-species relationships did not show any scale dependent effects. The taxonomic ratios of the observed communities had significantly lower values than those of the simulated random community under the test of two null models at almost all scales. Null Model 2 which considered the spatial dispersion of species generated a taxonomic structure which proved to be more consistent with that in the observed community. As sampling sizes increased from 20 m × 20 m to 50 m × 50 m, the magnitudes of SESs of taxonomic ratios increased. Based on the phylogenetic analysis, we found that the Jiaohe plot was phylogenetically clustered at almost all scales. We detected significant phylogenetically overdispersion at the 20 m × 20 m and 30 m × 30 m scales in the Liangshui plot. The results suggest that the effect of abiotic filtering is greater than the effects of interspecific competition in shaping the local community at almost all scales. Local processes influence the taxonomic structures, but their combined effects vary with the spatial scale. The taxonomic approach provides similar insights as the phylogenetic approach, especially when we applied a more conservative null model. Analysing taxonomic structure may be a useful tool for communities where well-resolved phylogenetic data are not available.

The use of network theory to model disparate ship design information

NASA Astrophysics Data System (ADS)

Rigterink, Douglas; Piks, Rebecca; Singer, David J.

2014-06-01

This paper introduces the use of network theory to model and analyze disparate ship design information. This work will focus on a ship's distributed systems and their intra- and intersystem structures and interactions. The three system to be analyzed are: a passageway system, an electrical system, and a fire fighting system. These systems will be analyzed individually using common network metrics to glean information regarding their structures and attributes. The systems will also be subjected to community detection algorithms both separately and as a multiplex network to compare their similarities, differences, and interactions. Network theory will be shown to be useful in the early design stage due to its simplicity and ability to model any shipboard system.

Significant elements of community involvement in participatory action research: evidence from a community project.

PubMed

Lindsey, E; McGuinness, L

1998-11-01

Participatory action research (PAR) has been heralded as an important research methodology to address issues of research relevance, community involvement, democracy, emancipation and liberation. Increasingly, nurse researchers are turning to PAR as a method of choice. Although nursing interest in PAR is expanding little is known about how to successfully involve the community in research. This article attends to this dearth of information by presenting the results of a study investigating the significant elements of community involvement in PAR. Through the use of qualitative research methods, five themes emerged that describe the community participation process: (a) planning for participation, (b) the structural components of community participation, (c) living the philosophy, (d) enhancing the credibility, and (e) the type of leadership required to facilitate community participation. It is hoped that by sharing these results others may consider the knowledge gleaned from this project as they plan and proceed with the challenges and rewards inherent in PAR.

[Research progress in chemical communication among insect-resistant genetically modified plants, insect pests and natural enemies].

PubMed

Liu, Qing-Song; Li, Yun-He; Chen, Xiu-Ping; Peng, Yu-Fa

2014-08-01

Semiochemicals released by plants or insects play an important role in the communication among plants, phytophagous insects and their natural enemies. They thus form a chemical information network which regulates intra- and inter-specific behaviors and sustains the composition and structure of plant and insect communities. The application of insect-resistant genetically modified (IRGM) crops may affect the chemical communication within and among the tritrophic levels, and thus cause disturbances to the biotic community structure and the stability of the farmland ecosystem. This has raised concerns about the environmental safety of IRGM crops and triggered research worldwide. In the current article we provided a brief summary of the chemical communication among plants, herbivores and natural enemies; analyzed the potential of IRGM crops to affect the chemical communication between plants and arthropods and the related mechanisms; and discussed the current research progress and the future prospects in this field. We hope that this will promote the research in this field by Chinese scientists and increase our understanding of the potential effects of growing of IRGM crops on the arthropod community structure.

Confirmatory factor analysis reveals a latent cognitive structure common to bipolar disorder, schizophrenia, and normal controls.

PubMed

Schretlen, David J; Peña, Javier; Aretouli, Eleni; Orue, Izaskun; Cascella, Nicola G; Pearlson, Godfrey D; Ojeda, Natalia

2013-06-01

We sought to determine whether a single hypothesized latent factor structure would characterize cognitive functioning in three distinct groups. We assessed 576 adults (340 community controls, 126 adults with bipolar disorder, and 110 adults with schizophrenia) using 15 measures derived from nine cognitive tests. Confirmatory factor analysis (CFA) was conducted to examine the fit of a hypothesized six-factor model. The hypothesized factors included attention, psychomotor speed, verbal memory, visual memory, ideational fluency, and executive functioning. The six-factor model provided an excellent fit for all three groups [for community controls, root mean square error of approximation (RMSEA) <0.048 and comparative fit index (CFI) = 0.99; for adults with bipolar disorder, RMSEA = 0.071 and CFI = 0.99; and for adults with schizophrenia, RMSEA = 0.06 and CFI = 0.98]. Alternate models that combined fluency with processing speed or verbal and visual memory reduced the goodness of fit. Multi-group CFA results supported factor invariance across the three groups. Confirmatory factor analysis supported a single six-factor structure of cognitive functioning among patients with schizophrenia or bipolar disorder and community controls. While the three groups clearly differ in level of performance, they share a common underlying architecture of information processing abilities. These cognitive factors could provide useful targets for clinical trials of treatments that aim to enhance information processing in persons with neurological and neuropsychiatric disorders. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Nematode communities in sediments of the Kermadec Trench, Southwest Pacific Ocean

NASA Astrophysics Data System (ADS)

Leduc, Daniel; Rowden, Ashley A.

2018-04-01

Hadal trenches are characterized by environmental conditions not found in any other deep-sea environment, such as steep topography and periodic disturbance by turbidity flows, which are likely responsible for the distinct nature of benthic communities of hadal trenches relative to those of the abyssal plain. Nematodes are the most abundant metazoans in the deep-sea benthos, but it is not yet clear if different trenches host distinct nematode communities, and no data are yet available on the communities of most trenches, including the Kermadec Trench in the Southwest Pacific. Quantitative core samples from the seafloor of the Kermadec Trench were recently obtained from four sites at 6000-9000 m depth which allowed for analyses of meiofauna, and nematodes in particular, for the first time. Nematode community and trophic structure was also compared with other trenches using published data. There was a bathymetric gradient in meiofauna abundance, biomass, and community structure within the Kermadec Trench, but patterns for species richness were ambiguous depending on which metric was used. There was a change in community structure from shallow to deep sites, as well as a consistent change in community structure from the upper sediment layers to the deeper sediment layers across the four sites. These patterns are most likely explained by variation in food availability within the trench, and related to trench topography. Together, deposit and microbial feeders represented 48-92% of total nematode abundance in the samples, which suggests that fine organic detritus and bacteria are major food sources. The relatively high abundance of epigrowth feeders at the 6000 and 9000 m sites (38% and 31%, respectively) indicates that relatively freshly settled microalgal cells represent another important food source at these sites. We found a significant difference in species community structure between the Kermadec and Tonga trenches, which was due to both the presence/absence of species as well as differences in relative abundances of shared species. The cluster and SIMPROF analyses of nematode genus community data across Pacific and Atlantic trenches identified two statistically significant natural groupings: the first group comprised all three Puerto Rico Trench samples, and the second comprised all remaining trenches (South Sandwich, Atacama, Tonga, and Kermadec). Our analyses show that differences in nematode between the adjacent Kermadec and Tonga trenches are observable when analyses are conducted with species-level identifications, but genera-based and trophic structure analyses revealed only limited heterogeneity among trenches. The present study contributes to the growing amount of information on hadal trench environments, which ultimately will build a greater understanding of these rarely sampled deep-sea habitats.

Moving Environmental Justice Indoors: Understanding Structural Influences on Residential Exposure Patterns in Low-Income Communities.

EPA Science Inventory

The indoor environment has not been fully incorporated into the environmental justice dialogue. To inform strategies to reduce disparities, we developed a framework to identify the individual and place-based drivers of indoor environment quality. We reviewed empirical evidence...

Leadership for Community Engagement--A Distributed Leadership Perspective

ERIC Educational Resources Information Center

Liang, Jia G.; Sandmann, Lorilee R.

2015-01-01

This article presents distributed leadership as a framework for analysis, showing how the phenomenon complements formal higher education structures by mobilizing leadership from various sources, formal and informal. This perspective more accurately portrays the reality of leading engaged institutions. Using the application data from 224…

Information Object Definition–based Unified Modeling Language Representation of DICOM Structured Reporting

PubMed Central

Tirado-Ramos, Alfredo; Hu, Jingkun; Lee, K.P.

2002-01-01

Supplement 23 to DICOM (Digital Imaging and Communications for Medicine), Structured Reporting, is a specification that supports a semantically rich representation of image and waveform content, enabling experts to share image and related patient information. DICOM SR supports the representation of textual and coded data linked to images and waveforms. Nevertheless, the medical information technology community needs models that work as bridges between the DICOM relational model and open object-oriented technologies. The authors assert that representations of the DICOM Structured Reporting standard, using object-oriented modeling languages such as the Unified Modeling Language, can provide a high-level reference view of the semantically rich framework of DICOM and its complex structures. They have produced an object-oriented model to represent the DICOM SR standard and have derived XML-exchangeable representations of this model using World Wide Web Consortium specifications. They expect the model to benefit developers and system architects who are interested in developing applications that are compliant with the DICOM SR specification. PMID:11751804

Pyrosequencing-based assessment of microbial community shifts in leachate from animal carcass burial lysimeter.

PubMed

Kim, Hyun Young; Seo, Jiyoung; Kim, Tae-Hun; Shim, Bomi; Cha, Seok Mun; Yu, Seungho

2017-06-01

This study examined the use of microbial community structure as a bio-indicator of decomposition levels. High-throughput pyrosequencing technology was used to assess the shift in microbial community of leachate from animal carcass lysimeter. The leachate samples were collected monthly for one year and a total of 164,639 pyrosequencing reads were obtained and used in the taxonomic classification and operational taxonomy units (OTUs) distribution analysis based on sequence similarity. Our results show considerable changes in the phylum-level bacterial composition, suggesting that the microbial community is a sensitive parameter affected by the burial environment. The phylum classification results showed that Proteobacteria (Pseudomonas) were the most influential taxa in earlier decomposition stage whereas Firmicutes (Clostridium, Sporanaerobacter, and Peptostreptococcus) were dominant in later stage under anaerobic conditions. The result of this study can provide useful information on a time series of leachate profiles of microbial community structures and suggest patterns of microbial diversity in livestock burial sites. In addition, this result can be applicable to predict the decomposition stages under clay loam based soil conditions of animal livestock. Copyright © 2017 Elsevier B.V. All rights reserved.

Community pharmacists require additional support to develop capacity in delivering alcohol-related health information to older adults.

PubMed

Dare, Julie; Wilkinson, Celia; Garlepp, Michael; Lo, Johnny; Allsop, Steve

2017-08-01

This qualitative study explored the barriers and enablers influencing Western Australian (WA) community pharmacists' knowledge, confidence, willingness and practice in engaging older clients (>60 years) in alcohol-related health discussions. Two focus groups were conducted with a total of 14 community pharmacists who had previously completed a formative quantitative survey (n = 63), and indicated willingness to participate in a follow-up focus group. Focus group questions, informed by the survey results, explored participants' perceptions about barriers and enablers to delivering health information and advice about alcohol to older clients (60+ years). Shaw and colleagues' theoretical framework was used to understand barriers and enablers in relation to role legitimacy, role adequacy and role support. Participants acknowledged that providing health information about alcohol to older clients is a legitimate part of a community pharmacist's role, and most were confident performing this role in situations perceived as core to their professional practice, such as while dispensing medicines. However, many participants identified limited knowledge, skills and confidence in assisting older clients who may have alcohol issues, beyond advising them on medication and alcohol use. Structural barriers such as time and financial barriers were also identified. Routine professional practice including dispensing medicine and home medicine reviews may provide valuable opportunities to engage older clients in alcohol-related discussions. However, limited knowledge concerning appropriate strategies to assist older clients reduce their alcohol consumption, coupled with limited skills and confidence among community pharmacists in raising sensitive alcohol-related issues with clients, suggest the need for specific alcohol-related training and support. © 2016 Royal Pharmaceutical Society.

Spatial distribution of vanadium and microbial community responses in surface soil of Panzhihua mining and smelting area, China.

PubMed

Cao, Xuelong; Diao, Muhe; Zhang, Baogang; Liu, Hui; Wang, Song; Yang, Meng

2017-09-01

Spatial distribution of vanadium in surface soils from different processing stages of vanadium-bearing titanomagnetite in Panzhihua mining and smelting area (China) as well as responses of microbial communities including bacteria and fungi to vanadium were investigated by fieldwork and laboratory incubation experiment. The vanadium contents in this region ranged from 149.3 to 4793.6 mg kg -1 , exceeding the soil background value of vanadium in China (82 mg kg -1 ) largely. High-throughput DNA sequencing results showed bacterial communities from different manufacturing locations were quite diverse, but Bacteroidetes and Proteobacteria were abundant in all samples. The contents of organic matter, available P, available S and vanadium had great influences on the structures of bacterial communities in soils. Bacterial communities converged to similar structure after long-term (240 d) cultivation with vanadium containing medium, dominating by bacteria which can tolerate or reduce toxicities of heavy metals. Fungal diversities decreased after cultivation, but Ascomycota and Ciliophora were still the most abundant phyla as in the original soil samples. Results in this study emphasize the urgency of investigating vanadium contaminations in soils and provide valuable information on how vanadium contamination influences bacterial and fungal communities. Copyright © 2017 Elsevier Ltd. All rights reserved.

Retention challenge facing Australia's rural community mental health services: Service managers' perspectives.

PubMed

Cosgrave, Catherine; Hussain, Rafat; Maple, Myfanwy

2015-10-01

This paper aims to contribute to the development of a more sustainable Australian rural community mental health workforce by comparing the findings from a literature search investigating impacting factors on retention with the experiences of community mental health service managers running services in rural Australia. Semi-structured interviews. Public health sector, rural New South Wales. Five community mental health managers, running services in rural Australia. Interviews were undertaken as a pilot for a broader qualitative study investigating factors influencing the decision to stay or leave among community mental health professionals working in rural positions. The purpose of undertaking this pilot study was to test for validity and relevance of the retention phenomena and help inform the research design for the main study. Three key retention focussed themes were identified: (i) Staffing is a persistent challenge; (ii) Small remote towns pose the biggest challenge; and (iii) The decision to stay or leave is complex and multifactorial. The findings of this pilot study support previous research and contribute to the understanding of influences on retention among health professionals working in rural community mental health services. Importantly, those who have worked for several years in rural positions hold important information through which to explore factors that impact retention in rural and remote regions. © 2015 National Rural Health Alliance Inc.

Delineating ecological regions in marine systems: Integrating physical structure and community composition to inform spatial management in the eastern Bering Sea

NASA Astrophysics Data System (ADS)

Baker, Matthew R.; Hollowed, Anne B.

2014-11-01

Characterizing spatial structure and delineating meaningful spatial boundaries have useful applications to understanding regional dynamics in marine systems, and are integral to ecosystem approaches to fisheries management. Physical structure and drivers combine with biological responses and interactions to organize marine systems in unique ways at multiple scales. We apply multivariate statistical methods to define spatially coherent ecological units or ecoregions in the eastern Bering Sea. We also illustrate a practical approach to integrate data on species distribution, habitat structure and physical forcing mechanisms to distinguish areas with distinct biogeography as one means to define management units in large marine ecosystems. We use random forests to quantify the relative importance of habitat and environmental variables to the distribution of individual species, and to quantify shifts in multispecies assemblages or community composition along environmental gradients. Threshold shifts in community composition are used to identify regions with distinct physical and biological attributes, and to evaluate the relative importance of predictor variables to determining regional boundaries. Depth, bottom temperature and frontal boundaries were dominant factors delineating distinct biological communities in this system, with a latitudinal divide at approximately 60°N. Our results indicate that distinct climatic periods will shift habitat gradients and that dynamic physical variables such as temperature and stratification are important to understanding temporal stability of ecoregion boundaries. We note distinct distribution patterns among functional guilds and also evidence for resource partitioning among individual species within each guild. By integrating physical and biological data to determine spatial patterns in community composition, we partition ecosystems along ecologically significant gradients. This may provide a basis for defining spatial management units or serve as a baseline index for analyses of structural shifts in the physical environment, species abundance and distribution, and community dynamics over time.

Hydrological externalities and livelihoods impacts: Informed communities for better resource management

NASA Astrophysics Data System (ADS)

Reddy, V. Ratna

2012-01-01

SummaryHydrological knowledge or information has mostly remained in the domain of scientific community. The communities that interact with the hydrological aspects such as groundwater and surface water on a day to day basis are hardly aware of the information that could critically influence their livelihoods. From the perspective of the communities' information pertaining to groundwater aquifer characters, potential to provide the water resource, surface groundwater interactions in varying geo-hydrological conditions are important. The 'public good' nature of the resources and their linkages with ecological systems gives rise to externalities that could be pervasive. In a number of countries, especially the developing countries, groundwater is the single largest source of drinking as well as irrigation water. In the absence of scientific information with the communities, extraction of groundwater resources for productive purposes has become a risky venture leading to adverse impacts on livelihoods. The externalities associated with over exploitation of groundwater resources and the resulting widespread well failure is identified as one of the main reasons for pushing farmers into debt trap and one of the reasons for farmer suicides in India. The negative externalities are increasingly becoming severe in the context of climate variability. This paper attempts to highlight the importance of hydrological information to the user communities from a socioeconomic perspective using a newly developed framework 'REDUCE' based on theories of effective communication. It shows, based on the evidence, how farming communities are getting affected in the absence of the basic hydrological information across socioeconomic groups. It is argued, using relevant information that the negative externalities could be mitigated to a large extent with proper dissemination of information among the communities and capacitating them to measure and use the information on their own. In order to make the hydrological information relevant and useful for the communities at the macro level, there are six key areas to be addressed viz., Resource (water), Estimation or Evaluation, Distribution, Users, Communication and Execution. Ground water extraction and use is associated with mostly negative externalities. Estimation methods and scale are not commensurate with the users' needs. The natural distribution pattern of the groundwater accentuates the inequalities in its access and use. These inequalities could be corrected through proper policy interventions that pave the way for treating the resources as a common pool resource instead of allowing it to be exploited like a private resource. That is, the hydrological resources ought to be brought under the management regime with the help of policy and governance structures. Users neither have the wherewithal to obtain the right kind of information nor the ability to manage the resource judiciously without institutional support. In this context the communication part of the process of groundwater management becomes important. The external agencies like the NGOs, scientists and policy makers and implementers have to interact and provide the right kind of information packaged to suit the needs of the users. Innovative execution of policies through evolution of institutional mechanisms and user involvement is key to the success of groundwater management.

How agricultural management shapes soil microbial communities: patterns emerging from genetic and genomic studies

NASA Astrophysics Data System (ADS)

Daly, Amanda; Grandy, A. Stuart

2016-04-01

Agriculture is a predominant land use and thus a large influence on global carbon (C) and nitrogen (N) balances, climate, and human health. If we are to produce food, fiber, and fuel sustainably we must maximize agricultural yield while minimizing negative environmental consequences, goals towards which we have made great strides through agronomic advances. However, most agronomic strategies have been designed with a view of soil as a black box, largely ignoring the way management is mediated by soil biota. Because soil microbes play a central role in many of the processes that deliver nutrients to crops and support their health and productivity, agricultural management strategies targeted to exploit or support microbial activity should deliver additional benefits. To do this we must determine how microbial community structure and function are shaped by agricultural practices, but until recently our characterizations of soil microbial communities in agricultural soils have been largely limited to broad taxonomic classes due to methodological constraints. With advances in high-throughput genetic and genomic sequencing techniques, better taxonomic resolution now enables us to determine how agricultural management affects specific microbes and, in turn, nutrient cycling outcomes. Here we unite findings from published research that includes genetic or genomic data about microbial community structure (e.g. 454, Illumina, clone libraries, qPCR) in soils under agricultural management regimes that differ in type and extent of tillage, cropping selections and rotations, inclusion of cover crops, organic amendments, and/or synthetic fertilizer application. We delineate patterns linking agricultural management to microbial diversity, biomass, C- and N-content, and abundance of microbial taxa; furthermore, where available, we compare patterns in microbial communities to patterns in soil extracellular enzyme activities, catabolic profiles, inorganic nitrogen pools, and nitrogen transforming processes. Where genetic data are scarce, we further inform our observations with data from phosopholipid fatty acid, ribosomal intergenic spacer, (terminal) restriction fragment length polymorphism, and denaturing gradient gel electrophoresis analyses. By summarizing the most current information about microbial community structure under different agricultural management strategies, we hope to jumpstart a dialogue that could ultimately inspire novel - and sustainable - agronomic approaches that work with and through soil microbes.

Formalization of the classification pattern: survey of classification modeling in information systems engineering.

PubMed

Partridge, Chris; de Cesare, Sergio; Mitchell, Andrew; Odell, James

2018-01-01

Formalization is becoming more common in all stages of the development of information systems, as a better understanding of its benefits emerges. Classification systems are ubiquitous, no more so than in domain modeling. The classification pattern that underlies these systems provides a good case study of the move toward formalization in part because it illustrates some of the barriers to formalization, including the formal complexity of the pattern and the ontological issues surrounding the "one and the many." Powersets are a way of characterizing the (complex) formal structure of the classification pattern, and their formalization has been extensively studied in mathematics since Cantor's work in the late nineteenth century. One can use this formalization to develop a useful benchmark. There are various communities within information systems engineering (ISE) that are gradually working toward a formalization of the classification pattern. However, for most of these communities, this work is incomplete, in that they have not yet arrived at a solution with the expressiveness of the powerset benchmark. This contrasts with the early smooth adoption of powerset by other information systems communities to, for example, formalize relations. One way of understanding the varying rates of adoption is recognizing that the different communities have different historical baggage. Many conceptual modeling communities emerged from work done on database design, and this creates hurdles to the adoption of the high level of expressiveness of powersets. Another relevant factor is that these communities also often feel, particularly in the case of domain modeling, a responsibility to explain the semantics of whatever formal structures they adopt. This paper aims to make sense of the formalization of the classification pattern in ISE and surveys its history through the literature, starting from the relevant theoretical works of the mathematical literature and gradually shifting focus to the ISE literature. The literature survey follows the evolution of ISE's understanding of how to formalize the classification pattern. The various proposals are assessed using the classical example of classification; the Linnaean taxonomy formalized using powersets as a benchmark for formal expressiveness. The broad conclusion of the survey is that (1) the ISE community is currently in the early stages of the process of understanding how to formalize the classification pattern, particularly in the requirements for expressiveness exemplified by powersets, and (2) that there is an opportunity to intervene and speed up the process of adoption by clarifying this expressiveness. Given the central place that the classification pattern has in domain modeling, this intervention has the potential to lead to significant improvements.

Microbial ecology of denitrification in biological wastewater treatment.

PubMed

Lu, Huijie; Chandran, Kartik; Stensel, David

2014-11-01

Globally, denitrification is commonly employed in biological nitrogen removal processes to enhance water quality. However, substantial knowledge gaps remain concerning the overall community structure, population dynamics and metabolism of different organic carbon sources. This systematic review provides a summary of current findings pertaining to the microbial ecology of denitrification in biological wastewater treatment processes. DNA fingerprinting-based analysis has revealed a high level of microbial diversity in denitrification reactors and highlighted the impacts of carbon sources in determining overall denitrifying community composition. Stable isotope probing, fluorescence in situ hybridization, microarrays and meta-omics further link community structure with function by identifying the functional populations and their gene regulatory patterns at the transcriptional and translational levels. This review stresses the need to integrate microbial ecology information into conventional denitrification design and operation at full-scale. Some emerging questions, from physiological mechanisms to practical solutions, for example, eliminating nitrous oxide emissions and supplementing more sustainable carbon sources than methanol, are also discussed. A combination of high-throughput approaches is next in line for thorough assessment of wastewater denitrifying community structure and function. Though denitrification is used as an example here, this synergy between microbial ecology and process engineering is applicable to other biological wastewater treatment processes. Copyright © 2014 Elsevier Ltd. All rights reserved.

Bioremediation using Novosphingobium strain DY4 for 2,4-dichlorophenoxyacetic acid-contaminated soil and impact on microbial community structure.

PubMed

Dai, Yu; Li, Ningning; Zhao, Qun; Xie, Shuguang

2015-04-01

The herbicide 2,4-dichlorophenoxyacetic acid (2,4-D) is commonly used for weed control. The ubiquity of 2,4-D has gained increasing environmental concerns. Biodegradation is an attractive way to clean up 2,4-D in contaminated soil. However, information on the bioaugmentation trial for remediating contaminated soil is still very limited. The impact of bioaugmentation using 2,4-D-degraders on soil microbial community remains unknown. The present study investigated the bioremediation potential of a novel degrader (strain DY4) for heavily 2,4-D-polluted soil and its bioaugmentation impact on microbial community structure. The strain DY4 was classified as a Novosphingobium species within class Alphaproteobacteria and harbored 2,4-D-degrading TfdAα gene. More than 50 and 95 % of the herbicide could be dissipated in bioaugmented soil (amended with 200 mg/kg 2,4-D) respectively in 3-4 and 5-7 days after inoculation of Novosphingobium strain DY4. A significant growth of the strain DY4 was observed in bioaugmented soil with the biodegradation of 2,4-D. Moreover, herbicide application significantly altered soil bacterial community structure but bioaumentation using the strain DY4 showed a relatively weak impact.

An experimental analysis of granivory in a desert ecosystem: Progress report

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

Brown, J.H.

1987-03-01

Controlled, replicated experiments are revealing the network of interactions that determine structure, dynamics, and energy transfer in a desert community that is functionally interconnected by the consumption of seeds (granivory). This community includes seed-eating rodents, ants, and birds, seed-producing annual and perennial plants, and other kinds of organisms that interact with these. The experiments entail removal of important species or functional groups of granivores or plants and supplementation of seed resources. The results demonstrate a large number of direct and indirect interactions that have important effects on the abundance of species and functional groups, the structure of the community, andmore » the dynamics of energy flow. The results suggest that networks of interaction are structured with sufficient overlap in resource requirements and interconnections through indirect pathways that community- and ecosystem-level processes, such as energy flow, are relatively insensitive to major perturbations in the abundance of particular species or functional groups. This preliminary finding has important implications for understanding the response of ecosystems to natural and human-caused perturbations, for the management of agricultural and other human-modified ecosystems, and for the design of perturbation-resistant networks for acquisition and distribution of human resources such energy and information. 44 refs.« less

What Can OpenEI Do For You?

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

None

2010-12-10

Open Energy Information (OpenEI) is an open source web platform—similar to the one used by Wikipedia—developed by the US Department of Energy (DOE) and the National Renewable Energy Laboratory (NREL) to make the large amounts of energy-related data and information more easily searched, accessed, and used both by people and automated machine processes. Built utilizing the standards and practices of the Linked Open Data community, the OpenEI platform is much more robust and powerful than typical web sites and databases. As an open platform, all users can search, edit, add, and access data in OpenEI for free. The user communitymore » contributes the content and ensures its accuracy and relevance; as the community expands, so does the content's comprehensiveness and quality. The data are structured and tagged with descriptors to enable cross-linking among related data sets, advanced search functionality, and consistent, usable formatting. Data input protocols and quality standards help ensure the content is structured and described properly and derived from a credible source. Although DOE/NREL is developing OpenEI and seeding it with initial data, it is designed to become a true community model with millions of users, a large core of active contributors, and numerous sponsors.« less

The Use of Data Analytics to Build an Australian Context-Sensitive Health Informatics Framework for Consumer-Directed Community Aged Care.

PubMed

Georgiou, Andrew; Jorgensen, Mikaela; Siette, Joyce; Westbrook, Johanna I

2017-01-01

The challenge of providing services that meet the growing needs of an ageing population is one confronted by communities across Australia and internationally. The aim of this study was to: a) undertake semi-structured interviews and focus groups across a sample of service and technical staff to identify the interconnection between communication, information, work practices and performance; and b) carry out a comprehensive review of existing data sources to identify the data linkages required to identify and monitor performance across different dimensions of the quality of aged care spectrum. The results from this study provided empirical evidence of the interconnection between communication, information, work practices and performance; and highlighted numerous potential data linkages which can be used to monitor performance across different dimensions of aged care. These included: the uptake and utilisation of community care services, community aged care client interactions and transitions (with hospitals and other health care providers), and quality of life measures (e.g., health and safety status, symptoms of depression and anxiety, social integration and mortality rates).

Exploring the process of capacity-building among community-based health promotion workers in Alberta, Canada.

PubMed

Montemurro, Genevieve R; Raine, Kim D; Nykiforuk, Candace I J; Mayan, Maria

2014-09-01

Community capacity-building is a central element to health promotion. While capacity-building features, domains and relationships to program sustainability have been well examined, information on the process of capacity-building as experienced by practitioners is needed. This study examined this process as experienced by coordinators working within a community-based chronic disease prevention project implemented in four communities in Alberta (Canada) from 2005-2010 using a case study approach with a mixed-method design. Data collection involved semi-structured interviews, a focus group and program documents tracking coordinator activity. Qualitative analysis followed the constant comparative method using open, axial and selective coding. Quantitative data were analyzed for frequency of major activity distribution. Capacity-building process involves distinct stages of networking, information exchange, partnering, prioritizing, planning/implementing and supporting/ sustaining. Stages are incremental though not always linear. Contextual factors exert a great influence on the process. Implications for research, practice and policy are discussed. © The Author (2013). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

MENTOR: an enabler for interoperable intelligent systems

NASA Astrophysics Data System (ADS)

Sarraipa, João; Jardim-Goncalves, Ricardo; Steiger-Garcao, Adolfo

2010-07-01

A community with knowledge organisation based on ontologies will enable an increase in the computational intelligence of its information systems. However, due to the worldwide diversity of communities, a high number of knowledge representation elements, which are not semantically coincident, have appeared representing the same segment of reality, becoming a barrier to business communications. Even if a domain community uses the same kind of technologies in its information systems, such as ontologies, it doesn't solve its semantics differences. In order to solve this interoperability problem, a solution is to use a reference ontology as an intermediary in the communications between the community enterprises and the outside, while allowing the enterprises to keep their own ontology and semantics unchanged internally. This work proposes MENTOR, a methodology to support the development of a common reference ontology for a group of organisations sharing the same business domain. This methodology is based on the mediator ontology (MO) concept, which assists the semantic transformations among each enterprise's ontology and the referential one. The MO enables each organisation to keep its own terminology, glossary and ontological structures, while providing seamless communication and interaction with the others.

Patterns of Arbuscular Mycorrhizal Fungal Distribution on Mainland and Island Sandy Coastal Plain Ecosystems in Brazil.

PubMed

da Silva, Iolanda Ramalho; de Souza, Francisco Adriano; da Silva, Danielle Karla Alves; Oehl, Fritz; Maia, Leonor Costa

2017-10-01

Although sandy coastal plains are important buffer zones to protect the coast line and maintain biological diversity and ecosystem services, these ecosystems have been endangered by anthropogenic activities. Thus, information on coastal biodiversity and forces shaping coastal biological diversity are extremely important for effective conservation strategies. In this study, we aimed to compare arbuscular mycorrhizal (AM) fungal communities from soil samples collected on the mainland and nearby islands located in Brazilian sandy coastal plain ecosystems (Restingas) to get information about AM fungal biogeography and identify factors shaping these communities. Soil samples were collected in 2013 and 2014 on the beachfront of the tropical sandy coastal plain at six sites (three island and three mainland locations) across the northeast, southeast, and south regions of Brazil. Overall, we recorded 53 AM fungal species from field and trap culture samples. The richness and diversity of AM fungal species did not differ between mainland and island locations, but AM fungal community assemblages were different between mainland and island environments and among most sites sampled. Glomeromycota communities registered from island samples showed higher heterogeneity than communities from mainland samples. Sandy coastal plains harbor diverse AM fungal communities structured by climatic, edaphic, and spatial factors, while the distance from the colonizing source (mainland environments) does not strongly affect the AM fungal communities in Brazilian coastal environments.

Culture, acculturation and smoking use in Hmong, Khmer, Laotians, and Vietnamese communities in Minnesota.

PubMed

Burgess, Diana J; Mock, Jeremiah; Schillo, Barbara A; Saul, Jessie E; Phan, Tam; Chhith, Yanat; Alesci, Nina; Foldes, Steven S

2014-08-04

Southeast Asian communities in the United States have suffered from high rates of tobacco use and high rates of chronic diseases associated with firsthand and secondhand smoking. Research is needed on how best to reduce and prevent tobacco use and exposure to secondhand smoke in these communities. The objective of this study was to examine how tobacco use patterns in Minnesota's Southeast Asian communities have been shaped by culture, immigration, and adjustment to life in America in order to inform future tobacco control strategies. The study consisted of semi-structured interviews with 60 formal and informal leaders from Minnesota's Hmong, Khmer (Cambodian), Lao, and Vietnamese communities and incorporated principles of community-based participatory research. Among Khmer, Lao and Vietnamese, tobacco in the homeland was a valued part of material culture and was used to signify social status, convey respect, and support social rituals among adult men (the only group for whom smoking was acceptable). Among the Hmong, regular consumption of tobacco was unacceptable and rarely seen until the civil war in Laos when a number of Hmong soldiers became smokers. In Minnesota, social norms have begun to shift, with smoking becoming less acceptable. Although older male smokers felt social pressure to quit, smoking functioned to reduce the stress of social isolation, economic hardship, prior trauma, and the loss of power and status. Youth and younger women no longer felt as constrained by culturally-rooted social prohibitions to smoke. Leaders from Minnesota's Southeast Asian communities perceived key changes in tobacco-related attitudes, beliefs, and behaviors which were embedded in the context of shifting power, status, and gender roles within their communities. This has practical implications for developing policy and interventions. Older Southeast Asians are likely to benefit from culturally-tailored programs (e.g., that value politeness and the importance of acting in ways that benefit the family, community, and clan) and programs that work with existing social structures, as well as initiatives that address smokers' psychological distress and social isolation. Leaders remained uncertain about how to address smoking uptake among youth, pointing to a need for additional research.

Organizing Diverse, Distributed Project Information

NASA Technical Reports Server (NTRS)

Keller, Richard M.

2003-01-01

SemanticOrganizer is a software application designed to organize and integrate information generated within a distributed organization or as part of a project that involves multiple, geographically dispersed collaborators. SemanticOrganizer incorporates the capabilities of database storage, document sharing, hypermedia navigation, and semantic-interlinking into a system that can be customized to satisfy the specific information-management needs of different user communities. The program provides a centralized repository of information that is both secure and accessible to project collaborators via the World Wide Web. SemanticOrganizer's repository can be used to collect diverse information (including forms, documents, notes, data, spreadsheets, images, and sounds) from computers at collaborators work sites. The program organizes the information using a unique network-structured conceptual framework, wherein each node represents a data record that contains not only the original information but also metadata (in effect, standardized data that characterize the information). Links among nodes express semantic relationships among the data records. The program features a Web interface through which users enter, interlink, and/or search for information in the repository. By use of this repository, the collaborators have immediate access to the most recent project information, as well as to archived information. A key advantage to SemanticOrganizer is its ability to interlink information together in a natural fashion using customized terminology and concepts that are familiar to a user community.

Health surveillance assistants as intermediates between the community and health sector in Malawi: exploring how relationships influence performance.

PubMed

Kok, Maryse C; Namakhoma, Ireen; Nyirenda, Lot; Chikaphupha, Kingsley; Broerse, Jacqueline E W; Dieleman, Marjolein; Taegtmeyer, Miriam; Theobald, Sally

2016-05-03

There is increasing global interest in how best to support the role of community health workers (CHWs) in building bridges between communities and the health sector. CHWs' intermediary position means that interpersonal relationships are an important factor shaping CHW performance. This study aimed to obtain in-depth insight into the facilitators of and barriers to interpersonal relationships between health surveillance assistants (HSAs) and actors in the community and health sector in hard-to-reach settings in two districts in Malawi, in order to inform policy and practice on optimizing HSA performance. The study followed a qualitative design. Forty-four semi-structured interviews and 16 focus group discussions were conducted with HSAs, different community members and managers in Mchinji and Salima districts. Data were recorded, transcribed, translated, coded and thematically analysed. HSAs had relatively strong interpersonal relationships with traditional leaders and volunteers, who were generally supportive of their work. From the health sector side, HSAs linked to health professionals and managers, but found them less supportive. Accountability structures at the community level were not well-established and those within the health sector were executed irregularly. Mistrust from the community, volunteers or HSAs regarding incentives and expectations that could not be met by "higher levels" undermined support structures and led to demotivation and hampered performance. Supervision and training were sometimes a source of mistrust and demotivation for HSAs, because of the perceived disinterest of supervisors, uncoordinated supervision and favouritism in selection of training participants. Rural HSAs were seen as more disadvantaged than HSAs in urban areas. HSAs' intermediary position necessitates trusting relationships between them and all actors within the community and the health sector. There is a need to improve support and accountability structures that facilitate communication and dialogue, increase trust and manage expectations and thereby improve interpersonal relationships between HSAs and actors in the community and health sector. This would maximize the value of HSAs' unique intermediary position and support them to deliver equitable health services. This is particularly important in rural areas, where HSAs often constitute the only point of contact with health services, yet report limited support from the health system.

Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation.

PubMed

Jenkins, Emily K; Kothari, Anita; Bungay, Vicky; Johnson, Joy L; Oliffe, John L

2016-08-30

Much of the research and theorising in the knowledge translation (KT) field has focused on clinical settings, providing little guidance to those working in community settings. In this study, we build on previous research in community-based KT by detailing the theory driven and empirically-informed CollaboraKTion framework. A case study design and ethnographic methods were utilised to gain an in-depth understanding of the processes for conducting a community-based KT study as a means to distilling the CollaboraKTion framework. Drawing on extensive field notes describing fieldwork observations and interactions as well as evidence from the participatory research and KT literature, we detail the processes and steps undertaken in this community-based KT study as well as their rationale and the challenges encountered. In an effort to build upon existing knowledge, Kitson and colleagues' co-KT framework, which provides guidance for conducting KT aimed at addressing population-level health, was applied as a coding structure to inform the current analysis. This approach was selected because it (1) supported the application of an existing community-based KT framework to empirical data and (2) provided an opportunity to contribute to the theory and practice gaps in the community-based KT literature through an inductively derived empirical example. Analysis revealed that community-based KT is an iterative process that can be viewed as comprising five overarching processes: (1) contacting and connecting; (2) deepening understandings; (3) adapting and applying the knowledge base; (4) supporting and evaluating continued action; and (5) transitioning and embedding as well as several key elements within each of these processes (e.g. building on existing knowledge, establishing partnerships). These empirically informed theory advancements in KT and participatory research traditions are summarised in the CollaboraKTion framework. We suggest that community-based KT researchers place less emphasis on enhancing uptake of specific interventions and focus on collaboratively identifying and creating changes to the contextual factors that influence health outcomes. The CollaboraKTion framework can be used to guide the development, implementation and evaluation of contextually relevant, evidence-informed initiatives aimed at improving population health, amid providing a foundation to leverage future research and practice in this emergent KT area.

A Structured Decision Approach for Integrating and Analyzing Community Perspectives in Re-Use Planning of Vacant Properties in Cleveland, Ohio

EPA Science Inventory

An integrated GIS-based, multi-attribute decision model deployed in a web-based platform is presented enabling an iterative, spatially explicit and collaborative analysis of relevant and available information for repurposing vacant land. The process incorporated traditional and ...

A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2

USDA-ARS?s Scientific Manuscript database

Metabolic reconstructions (MRs) are common denominators in systems biology and represent biochemical, genetic, and genomic (BiGG) knowledge-bases for target organisms by capturing currently available information in a consistent, structured manner. Salmonella enterica subspecies I serovar Typhimurium...

Growing Up with a Single Parent. What Hurts, What Helps.

ERIC Educational Resources Information Center

McLanahan, Sara; Sandefur, Gary

Using information from four national surveys and a decade of research, this book demonstrates the connection between family structure and a child's prospects for success. It shows how divorce, particularly with often-attendant drops in income, parental involvement, and access to community resources, diminishes children's chances for wellbeing. It…

Archive, Access, and Supply of Scientifically Derived Data: A Data Model for Multi-Parameterized Querying Where Spectral Data Base Meets GIS-Based Mapping Archive

NASA Astrophysics Data System (ADS)

Nass, A.; D'Amore, M.; Helbert, J.

2018-04-01

An archiving structure and reference level of derived and already published data supports the scientific community significantly by a constant rise of knowledge and understanding based on recent discussions within Information Science and Management.

78 FR 22254 - Agency Information Collection Activities; Submission to the Office of Management and Budget for...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-15

... State Expanded Learning Time AGENCY: Institute of Education Sciences/National Center for Education... State Expanded Learning Time. OMB Control Number: 1850-NEW. Type of Review: a new collection... conduct semi-structured interviews with 21st Century Community Learning Centers (21st CCLC) state...

Using Diagrams as Tools for the Solution of Non-Routine Mathematical Problems

ERIC Educational Resources Information Center

Pantziara, Marilena; Gagatsis, Athanasios; Elia, Iliada

2009-01-01

The Mathematics education community has long recognized the importance of diagrams in the solution of mathematical problems. Particularly, it is stated that diagrams facilitate the solution of mathematical problems because they represent problems' structure and information (Novick & Hurley, 2001; Diezmann, 2005). Novick and Hurley were the first…

Partnerships, Technology and Teaching: Celebrating the Link between Universities and Rural Communities.

ERIC Educational Resources Information Center

Gibson, Ian W.; King, Sheila

Australian schooling is undergoing a revolution in structure, management, and organization brought about by the advent of information and communication technologies in educational settings. This paper emphasizes the value of relationships between universities and schools in enhancing the quality of educational services provided to learning…

Macrofaunal community structure in Bahía Concepción (Chile) before and after the 8.8 Mw Maule mega-earthquake and tsunami.

PubMed

Cárcamo, Paula J; Hernández-Miranda, Eduardo; Veas, Rodrigo; Quiñones, Renato A

2017-09-01

Faunal assemblages of subtidal sedimentary environments are key components of coastal ecosystems. Benthic communities inhabiting the coastal zone near urban centers in Concepción Bay (Chile) have been described as highly disturbed (i.e. impoverished in diversity and species richness). This is due to the frequent presence of hypoxic conditions at the bottom due to the intrusion of low oxygen Equatorial Subsurface Water, high natural productivity and the high load of organic matter generated by several anthropogenic activities. A mega-earthquake (8.8 Mw) and subsequent tsunami occurred on the coast of south-central Chile on February 27, 2010 (27F), heavily impacting Concepción Bay, which is located 30 km south of the epicenter. The objectives of the present study are: (i) to evaluate the effect produced by the mega-earthquake and tsunami on the benthic community, and (ii) to assess dissimilarity in macrofauna composition and abundance in Concepción Bay at an inter-decadal time scale based on a comparison between our sampling conducted between 2010 and 2013 and information published since 1969. Our results show that the benthic macrofauna of Concepción Bay was disturbed by the 27F (i.e. high community dissimilarity in 2010). Changes in community structure were observed at an inter-annual scale (i.e. diminished community dissimilarity in 2013), suggesting a recovery post-27F. At an inter-decadal scale, community structure post-27F was dissimilar to the structure described for the 1980's and 1990's but more similar to that reported for 1969. The reducing conditions of the sediments due to the high input of organic matter that took place in the 1980's and 1990's may explain this dissimilarity. Copyright © 2017 Elsevier Ltd. All rights reserved.

Did biogeographical processes shape the monogenean community of butterflyfishes in the tropical Indo-west Pacific region?

PubMed

Reverter, M; Cribb, T H; Cutmore, S C; Bray, R A; Parravicini, V; Sasal, P

2017-07-01

Geographical distribution of parasite species can provide insights into the evolution and diversity of parasitic communities. Biogeography of marine parasites is poorly known, especially because it requires an understanding of host-parasite interactions, information that is rare, especially over large spatial scales. Here, we have studied the biogeographical patterns of dactylogyrid parasites of chaetodontids, one of the most well-studied fish families, in the tropical Indo-west Pacific region. Dactylogyrid parasites were collected from gills of 34 butterflyfish species (n=560) at nine localities within an approximate area of 62millionkm 2 . Thirteen dactylogyrid species were identified, with richness ranging from 6 to 12 species at individual localities. Most dactylogyrid communities were dominated by Haliotrema angelopterum or Haliotrema aurigae, for which relative abundance was negatively correlated (ρ=-0.59). Parasite richness and diversity were highest in French Polynesia and the Great Barrier Reef (Australia) and lowest in Palau. Three biogeographic regions were identified based on dactylogyrid dissimilarities: French Polynesia, characterised by the dominance of H. angelopterum, the western Pacific region dominated by H. aurigae, and Ningaloo Reef (Australia), dominated by Euryhaliotrema berenguelae. Structure of host assemblages was the main factor explaining the dissimilarity (turnover and nestedness components of the Bray-Curtis dissimilarity and overall Bray-Curtis dissimilarity) of parasite communities between localities, while environment was only significant in the turnover of parasite communities and overall dissimilarity. Spatial structure of localities explained only 10% of the turnover of parasite communities. The interaction of the three factors (host assemblages, environment and spatial structure), however, explained the highest amounts of variance of the dactylogyrid communities, indicating a strong colinearity between the factors. Our findings show that spatial arrangement of chaetodontid dactylogyrids in the tropical Indo-west Pacific is primarily characterised by the turnover of the main Haliotrema spp., which is mainly explained by the structure of host assemblages. Copyright © 2017 Australian Society for Parasitology. Published by Elsevier Ltd. All rights reserved.

Beacon Communities’ Public Health Initiatives: A Case Study Analysis

PubMed Central

Massoudi, Barbara L.; Marcial, Laura H.; Haque, Saira; Bailey, Robert; Chester, Kelley; Cunningham, Shellery; Riley, Amanda; Soper, Paula

2014-01-01

Introduction: The Beacon Communities for Public Health (BCPH) project was launched in 2011 to gain a better understanding of the range of activities currently being conducted in population- and public health by the Beacon Communities. The project highlighted the successes and challenges of these efforts with the aim of sharing this information broadly among the public health community. Background: The Beacon Community Program, designed to showcase technology-enabled, community-based initiatives to improve outcomes, focused on: building and strengthening health information technology (IT) infrastructure and exchange capabilities; translating investments in health IT to measureable improvements in cost, quality, and population health; and, developing innovative approaches to performance measurement, technology, and care delivery. Methods: Four multimethod case studies were conducted based on a modified sociotechnical framework to learn more about public health initiative implementation and use in the Beacon Communities. Our methodological approach included using document review and semistructured key informant interviews. NACCHO Model Practice Program criteria were used to select the public health initiatives included in the case studies. Findings: Despite differences among the case studies, common barriers and facilitators were found to be present in all areas of the sociotechnical framework application including structure, people, technology, tasks, overarching considerations, and sustainability. Overall, there were many more facilitators (range = 7–14) present for each Beacon compared to barriers (range = 4–6). Discussion: Four influential promising practices were identified through the work: forging strong and sustainable partnerships; ensuring a good task-technology fit and a flexible and iterative design; fostering technology acceptance; and, providing education and demonstrating value. Conclusions: A common weakness was the lack of a framework or model for the Beacon Communities evaluation work. Sharing a framework or approach to evaluation at the beginning of implementation made the work more effective. Supporting evaluation to inform future implementations is important. PMID:25848620

Experiences on the development of a Community Based Early Warning System for mountain risks in northern Italy

NASA Astrophysics Data System (ADS)

Garcia, Carolina; Sterlacchini, Simone; de Amicis, Mattia; Fontana, Michele; Trozzi, Arianna; Frigerio, Ivan

2010-05-01

In the framework of the European project Mountain Risks (http://mountain-risks.eu/), one of the projects currently developed is a methodology to integrate risk management and evacuation emergency plans, focused on prevention as a key element for disaster risk reduction, applied in the Mountain Community Valtellina of Tirano, an area recurrently affected by several mountain hazards. Taking into account the actual state of disaster risk reduction initiatives in the study area, including the existence of a real time emergency plan based on GIS (Geographical Information Systems), DSS (Decision Support Systems), and ICT (Information & Communication Technology), but knowing the lack involvement of the general community in any of the preparation activities developed until the present and the lack of divulgation of the current emergency plan, it was decided that the methodology that could better adapt to the actual conditions of the study area would be a non structural Community Based Early Warning System (CBEWS). A CBEWS has been recognized by institutions as the UN and the INSDR, as an effective and important strategy for disaster risk reduction. This strategy is broadly used especially in developing countries and has proved its effectiveness in many disasters crisis all over the world. In spite of that, possibly for political and social reasons, there are really few applications of CBEWS in developed countries which has made the elaboration of this research project a particularly difficult process due to the lack of previous references with similar conditions to the one in the study area. Difficulties related to any multidisciplinary work which also involves the general community have been faced during the development of the project such as the differences in language (both the technical jargon of the different disciplines and the native language), time restrictions, the process of learning and adapting to different social structures, the process of contacting several institutions and persons looking to co-involve them in the project. The development of the CBEWS involves several phases: hazard and risk assessment including the analysis of the legal framework and the application of an extensive social survey to evaluate the levels of risk perception, awareness, preparation and information desires of the community; the development of prevention and monitoring strategies and preparedness activities, including the development of a communication campaign developed by an interdisciplinary group to inform and educate the community and practitioner stakeholders. Preliminary results of the survey show, among others, low levels of risk perception and preparedness, and lack of knowledge and information related to natural hazards. All the results confirm the necessity of develop the communication and education campaign. The aim of the CBEWS is not only to increase the level of preparedness of the community and decrease its vulnerability, but also to strengthen institutional collaboration, in particular local institutions, in order to assure a continuity of the efforts.

An Information Architect's View of Earth Observations for Disaster Risk Management

NASA Astrophysics Data System (ADS)

Moe, K.; Evans, J. D.; Cappelaere, P. G.; Frye, S. W.; Mandl, D.; Dobbs, K. E.

2014-12-01

Satellite observations play a significant role in supporting disaster response and risk management, however data complexity is a barrier to broader use especially by the public. In December 2013 the Committee on Earth Observation Satellites Working Group on Information Systems and Services documented a high-level reference model for the use of Earth observation satellites and associated products to support disaster risk management within the Global Earth Observation System of Systems context. The enterprise architecture identified the important role of user access to all key functions supporting situational awareness and decision-making. This paper focuses on the need to develop actionable information products from these Earth observations to simplify the discovery, access and use of tailored products. To this end, our team has developed an Open GeoSocial API proof-of-concept for GEOSS. We envision public access to mobile apps available on smart phones using common browsers where users can set up a profile and specify a region of interest for monitoring events such as floods and landslides. Information about susceptibility and weather forecasts about flood risks can be accessed. Users can generate geo-located information and photos of local events, and these can be shared on social media. The information architecture can address usability challenges to transform sensor data into actionable information, based on the terminology of the emergency management community responsible for informing the public. This paper describes the approach to collecting relevant material from the disasters and risk management community to address the end user needs for information. The resulting information architecture addresses the structural design of the shared information in the disasters and risk management enterprise. Key challenges are organizing and labeling information to support both online user communities and machine-to-machine processing for automated product generation.

The faces of breastfeeding support: Experiences of mothers seeking breastfeeding support online.

PubMed

Bridges, Nicole

2016-03-01

The aim of this study was to advance understanding of the experiences of mothers using closed Facebook groups attached to the Australian Breastfeeding Association (ABA) and how these mothers find and share breastfeeding support and information using this forum. The study involved members of three closed Facebook groups that were chosen as interesting cases for study, based on the volume and nature of their posts. Members of these three groups then participated in online depth interviews and online semi-structured focus groups. The overarching theme identified was support, with four sub-themes that describe the nature of online breastfeeding support within the Facebook environment. These sub-themes are: community, complementary, immediate and information. It was found that social networking sites (SNSs) provide support from the trusted community. It is immediate, it complements existing support or services that ABA provides and also provides practical and valuable information for its users.

Social networks and secondary health conditions: The critical secondary team for individuals with spinal cord injury

PubMed Central

Guilcher, Sara J. T.; Casciaro, Tiziana; Lemieux-Charles, Louise; Craven, Catharine; McColl, Mary Ann; Jaglal, Susan B.

2012-01-01

Objectives To describe the structure of informal networks for individuals with spinal cord injury (SCI) living in the community, to understand the quality of relationship of informal networks, and to understand the role of informal networks in the prevention and management of secondary health conditions (SHCs). Design Mixed-method descriptive study. Setting Ontario, Canada Participants Community-dwelling adults with an SCI living in Ontario Interventions/methods The Arizona Social Support Interview Survey was used to measure social networks. Participants were asked the following open-ended questions: (1) What have been your experiences with your health care in the community? (2) What have been your experiences with care related to prevention and/or management of SHCs?, (3)What has been the role of your informal social networks (friends/family) related to SHCs? Results Fourteen key informant interviews were conducted (6 men, 8 women). The overall median for available informal networks was 11.0 persons (range 3–19). The informal network engaged in the following roles: (1) advice/validating concerns; (2) knowledge brokers; (3) advocacy; (4) preventing SHCs; (5) assisting with finances; and (6) managing SHCs. Participants described their informal networks as a “secondary team”; a critical and essential force in dealing with SHCs. Conclusions While networks are smaller for persons with SCI compared with the general population, these ties seems to be strong, which is essential when the roles involve a level of trust, certainty, tacit knowledge, and flexibility. These informal networks serve as essential key players in filling the gaps that exist within the formal health care system. PMID:23031170

How a Beacon Community Program in New Orleans Helped Create a Better Health Care System by Building Relationships before Technology.

PubMed

Khurshid, Anjum; Brown, Lisanne

2014-01-01

In the aftermath of Hurricane Katrina, much of New Orleans' healthcare infrastructure was destroyed. Initial federal funding after the storm expanded primary care services and helped set up medical homes for New Orleans' large uninsured and underinsured population. Following that, the Beacon Community in New Orleans, charged with improving health care through the use of technology, decided the best way to accomplish those goals was to build community partnerships and introduce technology improvements based on their input and on their terms. The purpose of this paper is to describe how those partnerships were wrought, including the innovative use of a conceptual framework, and how they are being sustained; how different technologies were and are being introduced; and what the results have been so far. Past successful community experiences, as well as a proven conceptual framework, were used to help establish community partnerships and governance structures, as well as to demonstrate their linkages. This paper represents a compilation of reports and information from key Beacon leaders, staff and providers and their firsthand experiences in setting up those structures, as well as their conclusions. The community partnerships proved extremely successful in not only devising successful ways to introduce new technology into healthcare settings, but in sustaining those changes by creating a governance structure that has enough fluidity to adapt to changing circumstances. Building and developing community partnerships takes time and effort; however, these relationships are necessary and essential to introducing and sustaining new technologies in a healthcare setting and should be a first step for any organization looking to accomplish such goals.

Statistical performance and information content of time lag analysis and redundancy analysis in time series modeling.

PubMed

Angeler, David G; Viedma, Olga; Moreno, José M

2009-11-01

Time lag analysis (TLA) is a distance-based approach used to study temporal dynamics of ecological communities by measuring community dissimilarity over increasing time lags. Despite its increased use in recent years, its performance in comparison with other more direct methods (i.e., canonical ordination) has not been evaluated. This study fills this gap using extensive simulations and real data sets from experimental temporary ponds (true zooplankton communities) and landscape studies (landscape categories as pseudo-communities) that differ in community structure and anthropogenic stress history. Modeling time with a principal coordinate of neighborhood matrices (PCNM) approach, the canonical ordination technique (redundancy analysis; RDA) consistently outperformed the other statistical tests (i.e., TLAs, Mantel test, and RDA based on linear time trends) using all real data. In addition, the RDA-PCNM revealed different patterns of temporal change, and the strength of each individual time pattern, in terms of adjusted variance explained, could be evaluated, It also identified species contributions to these patterns of temporal change. This additional information is not provided by distance-based methods. The simulation study revealed better Type I error properties of the canonical ordination techniques compared with the distance-based approaches when no deterministic component of change was imposed on the communities. The simulation also revealed that strong emphasis on uniform deterministic change and low variability at other temporal scales is needed to result in decreased statistical power of the RDA-PCNM approach relative to the other methods. Based on the statistical performance of and information content provided by RDA-PCNM models, this technique serves ecologists as a powerful tool for modeling temporal change of ecological (pseudo-) communities.

Recovery of microbial communities and carbon cycling processes following drought manipulation in southern California

NASA Astrophysics Data System (ADS)

Allison, S. D.; Martiny, J. B. H.; Martiny, A.; Berlemont, R.; Treseder, K. K.; Goulden, M.; Brodie, E.

2016-12-01

Predicting the functioning of microbial communities under changing environmental conditions remains a key challenge in Earth system science. Metagenomics and other high-throughput molecular approaches can help address this challenge by revealing the functional potential of microbial communities. We coupled metagenomics with models and experimental manipulations to address microbial responses to drought in a California grassland ecosystem along with the consequences for carbon cycling. We developed an approach for extracting trait information from metagenomic data and asked: 1) What is the phylogenetic structure of drought response traits? 2) What is the relationship between these traits and those involved in carbohydrate degradation? 3) How do both classes of traits vary seasonally and with precipitation manipulation? 4) How resilient are these traits in the face of perturbation? We found that drought response traits are phylogenetically conserved at an equivalent of 5-8% ribosomal RNA gene sequence dissimilarity. Experimental drought treatment selected for the genetic potential to degrade starch, xylan, and mixed polysaccharides, suggesting a link between drought response and carbon cycling traits. In addition, microbial communities exposed to experimental drought showed a reduced potential to degrade plant biomass. Particularly among bacteria, seasonal drought had a larger impact on microbial composition, abundance, and carbohydrate-degrading genes compared to experimental drought. Bacterial communities were also more resilient to drought perturbation than fungal communities, which showed legacies of drought perturbation for up to three years. Altogether, these findings imply that microbial communities exhibit trait diversity that facilitates resilience but with substantial time lags and consequences for carbon turnover. This information is being used to inform new trait-based models that address the challenge of predicting microbial functioning under precipitation change.

Harmonizing disease prevention and police practice in the implementation of HIV prevention programs: Up-stream strategies from Wilmington, Delaware

PubMed Central

2012-01-01

Introduction Improving access to sterile injection equipment is a key component in community-based infectious disease prevention. Implementation of syringe access programs has sometimes been complicated by community opposition and police interference. Case description In 2006, the Delaware legislature authorized a pilot syringe exchange program (SEP). A program designed to prevent, monitor, and respond to possible policing and community barriers before they had a chance to effect program implementation and operation. A program designed to prevent, monitor, and respond to these barriers was planned and implemented by a multidisciplinary team of legal practitioners and public health professionals. Discussion We report on an integrated intervention to address structural barriers to syringe exchange program utilization. This intervention employs community, police and client education combined with systematic surveillance of and rapid response to police interference to preempt the kinds of structural barriers to implementation observed elsewhere. The intervention addresses community concerns and stresses the benefits of syringe exchange programs to officer occupational safety. Conclusions A cohesive effort combining collaboration with and educational outreach to police and community members based on the needs and concerns of these groups as well as SEP clients and potential clients helped establish a supportive street environment for the SEP. Police-driven structural barriers to implementation of public health programs targeting populations engaged in drug use and other illicit behavior can be addressed by up-stream planning, prevention, monitoring and intervention strategies. More research is needed to inform the tailoring of interventions to address police-driven barriers to HIV prevention services, especially among marginalized populations. PMID:22591836

Legacy of historic ozone exposure on plant community and food web structure.

PubMed

Martínez-Ghersa, M Alejandra; Menéndez, Analía I; Gundel, Pedro E; Folcia, Ana M; Romero, Ana M; Landesmann, Jennifer B; Ventura, Laura; Ghersa, Claudio M

2017-01-01

Information on whole community responses is needed to predict direction and magnitude of changes in plant and animal abundance under global changes. This study quantifies the effect of past ozone exposure on a weed community structure and arthropod colonization. We used the soil seed bank resulting from a long-term ozone exposure to reestablish the plant community under a new low-pollution environment. Two separate experiments using the same original soil seed bank were conducted. Plant and arthropod richness and species abundance was assessed during two years. We predicted that exposure to episodic high concentrations of ozone during a series of growing cycles would result in plant assemblies with lower diversity (lower species richness and higher dominance), due to an increase in dominance of the stress tolerant species and the elimination of the ozone-sensitive species. As a consequence, arthropod-plant interactions would also be changed. Species richness of the recruited plant communities from different exposure histories was similar (≈ 15). However, the relative abundance of the dominant species varied according to history of exposure, with two annual species dominating ozone enriched plots (90 ppb: Spergula arvensis, and 120 ppb: Calandrinia ciliata). Being consistent both years, the proportion of carnivore species was significantly higher in plots with history of higher ozone concentration (≈3.4 and ≈7.7 fold higher in 90 ppb and 120 ppb plots, respectively). Our study provides evidence that, past history of pollution might be as relevant as management practices in structuring agroecosystems, since we show that an increase in tropospheric ozone may influence biotic communities even years after the exposure.

Differences in Hyporheic-Zone Microbial Community Structure along a Heavy-Metal Contamination Gradient

PubMed Central

Feris, Kevin; Ramsey, Philip; Frazar, Chris; Moore, Johnnie N.; Gannon, James E.; Holben, William E.

2003-01-01

The hyporheic zone of a river is nonphotic, has steep chemical and redox gradients, and has a heterotrophic food web based on the consumption of organic carbon entrained from downwelling surface water or from upwelling groundwater. The microbial communities in the hyporheic zone are an important component of these heterotrophic food webs and perform essential functions in lotic ecosystems. Using a suite of methods (denaturing gradient gel electrophoresis, 16S rRNA phylogeny, phospholipid fatty acid analysis, direct microscopic enumeration, and quantitative PCR), we compared the microbial communities inhabiting the hyporheic zone of six different river sites that encompass a wide range of sediment metal loads resulting from large base-metal mining activity in the region. There was no correlation between sediment metal content and the total hyporheic microbial biomass present within each site. However, microbial community structure showed a significant linear relationship with the sediment metal loads. The abundances of four phylogenetic groups (groups I, II, III, and IV) most closely related to α-, β-, and γ-proteobacteria and the cyanobacteria, respectively, were determined. The sediment metal content gradient was positively correlated with group III abundance and negatively correlated with group II abundance. No correlation was apparent with regard to group I or IV abundance. This is the first documentation of a relationship between fluvially deposited heavy-metal contamination and hyporheic microbial community structure. The information presented here may be useful in predicting long-term effects of heavy-metal contamination in streams and provides a basis for further studies of metal effects on hyporheic microbial communities. PMID:12957946

Community Engagement Studios: A Structured Approach to Obtaining Meaningful Input From Stakeholders to Inform Research.

PubMed

Joosten, Yvonne A; Israel, Tiffany L; Williams, Neely A; Boone, Leslie R; Schlundt, David G; Mouton, Charles P; Dittus, Robert S; Bernard, Gordon R; Wilkins, Consuelo H

2015-12-01

Engaging communities in research increases its relevance and may speed the translation of discoveries into improved health outcomes. Many researchers lack training to effectively engage stakeholders, whereas academic institutions lack infrastructure to support community engagement. In 2009, the Meharry-Vanderbilt Community-Engaged Research Core began testing new approaches for community engagement, which led to the development of the Community Engagement Studio (CE Studio). This structured program facilitates project-specific input from community and patient stakeholders to enhance research design, implementation, and dissemination. Developers used a team approach to recruit and train stakeholders, prepare researchers to engage with stakeholders, and facilitate an in-person meeting with both. The research core has implemented 28 CE Studios that engaged 152 community stakeholders. Participating researchers, representing a broad range of faculty ranks and disciplines, reported that input from stakeholders was valuable and that the CE Studio helped determine project feasibility and enhanced research design and implementation. Stakeholders found the CE Studio to be an acceptable method of engagement and reported a better understanding of research in general. A tool kit was developed to replicate this model and to disseminate this approach. The research core will collect data to better understand the impact of CE Studios on research proposal submissions, funding, research outcomes, patient and stakeholder engagement in projects, and dissemination of results. They will also collect data to determine whether CE Studios increase patient-centered approaches in research and whether stakeholders who participate have more trust and willingness to participate in research.

Netgram: Visualizing Communities in Evolving Networks

PubMed Central

Mall, Raghvendra; Langone, Rocco; Suykens, Johan A. K.

2015-01-01

Real-world complex networks are dynamic in nature and change over time. The change is usually observed in the interactions within the network over time. Complex networks exhibit community like structures. A key feature of the dynamics of complex networks is the evolution of communities over time. Several methods have been proposed to detect and track the evolution of these groups over time. However, there is no generic tool which visualizes all the aspects of group evolution in dynamic networks including birth, death, splitting, merging, expansion, shrinkage and continuation of groups. In this paper, we propose Netgram: a tool for visualizing evolution of communities in time-evolving graphs. Netgram maintains evolution of communities over 2 consecutive time-stamps in tables which are used to create a query database using the sql outer-join operation. It uses a line-based visualization technique which adheres to certain design principles and aesthetic guidelines. Netgram uses a greedy solution to order the initial community information provided by the evolutionary clustering technique such that we have fewer line cross-overs in the visualization. This makes it easier to track the progress of individual communities in time evolving graphs. Netgram is a generic toolkit which can be used with any evolutionary community detection algorithm as illustrated in our experiments. We use Netgram for visualization of topic evolution in the NIPS conference over a period of 11 years and observe the emergence and merging of several disciplines in the field of information processing systems. PMID:26356538

Patients in transition--improving hospital-home care collaboration through electronic messaging: providers' perspectives.

PubMed

Melby, Line; Brattheim, Berit J; Hellesø, Ragnhild

2015-12-01

To explore how the use of electronic messages support hospital and community care nurses' collaboration and communication concerning patients' admittance to and discharges from hospitals. Nurses in hospitals and in community care play a crucial role in the transfer of patients between the home and the hospital. Several studies have shown that transition situations are challenging due to a lack of communication and information exchange. Information and communication technologies may support nurses' work in these transition situations. An electronic message system was introduced in Norway to support patient transitions across the health care sector. A descriptive, qualitative interview study was conducted. One hospital and three adjacent communities were included in the study. We conducted semi-structured interviews with hospital nurses and community care nurses. In total, 41 persons were included in the study. The analysis stemmed from three main topics related to the aims of e-messaging: efficiency, quality and safety. These were further divided into sub-themes. All informants agreed that electronic messaging is more efficient, i.e. less time-consuming than previous means of communication. The shift from predominantly oral communication to writing electronic messages has brought attention to the content of the information exchanged, thereby leading to more conscious communication. Electronic messaging enables improved information security, thereby enhancing patient safety, but this depends on nurses using the system as intended. Nurses consider electronic messaging to be a useful tool for communication and collaboration in patient transitions. Patient transitions are demanding situations both for patients and for the nurses who facilitate the transitions. The introduction of information and communication technologies can support nurses' work in the transition situations, and this is likely to benefit the patients. © 2015 John Wiley & Sons Ltd.

U.S. EPA Superfund Program's Policy for Community Involvement at Radioactively Contaminated Sites

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

Carey, Pat; Walker, Stuart

2008-01-15

This paper describes the Superfund program's statutory requirements for community involvement. It also discusses the efforts the Superfund program has made that go beyond these statutory requirements to involve communities. The Environmental Protection Agency (EPA) implements the Superfund program under the authority of the Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA), as amended by the Superfund Amendments and Reauthorization Act of 1986 (SARA). From the beginning of the Superfund program, Congress envisioned a role for communities. This role has evolved and expanded during the implementation of the Superfund program. Initially, the CERCLA statute had community involvement requirementsmore » designed to inform surrounding communities of the work being done at a site. CERCLA's provisions required 1) development of a community relations plan for each site, 2) establishment of information repositories near each site where all publicly available materials related to the site would be accessible for public inspection, 3) opportunities for the public to comment on the proposed remedy for each site and 4) development of a responsiveness summary responding to all significant comments received on the proposed remedy. In recognition of the need for people living near Superfund sites to be well-informed and involved with decisions concerning sites in their communities, SARA expanded Superfund's community involvement activities in 1986. SARA provided the authority to award Technical Assistance Grants (TAGs) to local communities enabling them to hire independent technical advisors to assist them in understanding technical issues and data about the site. The Superfund Community Involvement Program has sought to effectively implement the statutory community involvement requirements, and to go beyond those requirements to find meaningful ways to involve citizens in the cleanup of sites in their communities. We've structured our program around two main themes, building capacity in staff, and building capacity in Communities. In summary, the Superfund program devotes substantial resources to involving the local community in the site cleanup decision making process. We believe community involvement provides us with highly valuable information that must be available to carefully consider remedial alternatives at a site. We also find our employees enjoy their jobs more. Rather than fighting with an angry public they can work collaboratively to solve the problems created by the hazardous waste sites. We have learned the time and resources we devote at the beginning of a project to developing relationships with the local community, and learning about their issues and concerns is time and resources well spent. We believe the evidence shows this up-front investment helps us make better cleanup decisions, and avoids last minute efforts to work with a hostile community who feels left out of the decision-making process.« less

Bayesian structured additive regression modeling of epidemic data: application to cholera

PubMed Central

2012-01-01

Background A significant interest in spatial epidemiology lies in identifying associated risk factors which enhances the risk of infection. Most studies, however, make no, or limited use of the spatial structure of the data, as well as possible nonlinear effects of the risk factors. Methods We develop a Bayesian Structured Additive Regression model for cholera epidemic data. Model estimation and inference is based on fully Bayesian approach via Markov Chain Monte Carlo (MCMC) simulations. The model is applied to cholera epidemic data in the Kumasi Metropolis, Ghana. Proximity to refuse dumps, density of refuse dumps, and proximity to potential cholera reservoirs were modeled as continuous functions; presence of slum settlers and population density were modeled as fixed effects, whereas spatial references to the communities were modeled as structured and unstructured spatial effects. Results We observe that the risk of cholera is associated with slum settlements and high population density. The risk of cholera is equal and lower for communities with fewer refuse dumps, but variable and higher for communities with more refuse dumps. The risk is also lower for communities distant from refuse dumps and potential cholera reservoirs. The results also indicate distinct spatial variation in the risk of cholera infection. Conclusion The study highlights the usefulness of Bayesian semi-parametric regression model analyzing public health data. These findings could serve as novel information to help health planners and policy makers in making effective decisions to control or prevent cholera epidemics. PMID:22866662

NELS 2.0 - A general system for enterprise wide information management

NASA Technical Reports Server (NTRS)

Smith, Stephanie L.

1993-01-01

NELS, the NASA Electronic Library System, is an information management tool for creating distributed repositories of documents, drawings, and code for use and reuse by the aerospace community. The NELS retrieval engine can load metadata and source files of full text objects, perform natural language queries to retrieve ranked objects, and create links to connect user interfaces. For flexibility, the NELS architecture has layered interfaces between the application program and the stored library information. The session manager provides the interface functions for development of NELS applications. The data manager is an interface between session manager and the structured data system. The center of the structured data system is the Wide Area Information Server. This system architecture provides access to information across heterogeneous platforms in a distributed environment. There are presently three user interfaces that connect to the NELS engine; an X-Windows interface, and ASCII interface and the Spatial Data Management System. This paper describes the design and operation of NELS as an information management tool and repository.

Detecting communities in large networks

NASA Astrophysics Data System (ADS)

Capocci, A.; Servedio, V. D. P.; Caldarelli, G.; Colaiori, F.

2005-07-01

We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and link orientation. Since the method detects efficiently clustered nodes in large networks even when these are not sharply partitioned, it turns to be specially suitable for the analysis of social and information networks. We test the algorithm on a large-scale data-set from a psychological experiment of word association. In this case, it proves to be successful both in clustering words, and in uncovering mental association patterns.

Randomized, community-based pharmacy intervention to expand services beyond sale of sterile syringes to injection drug users in pharmacies in New York City.

PubMed

Crawford, Natalie D; Amesty, Silvia; Rivera, Alexis V; Harripersaud, Katherine; Turner, Alezandria; Fuller, Crystal M

2013-09-01

Structural interventions may help reduce racial/ethnic disparities in HIV. In 2009 to 2011, we randomized pharmacies participating in a nonprescription syringe access program in minority communities to intervention (pharmacy enrolled and delivered HIV risk reduction information to injection drug users [IDUs]), primary control (pharmacy only enrolled IDUs), and secondary control (pharmacy did not engage IDUs). Intervention pharmacy staff reported more support for syringe sales than did control staff. An expanded pharmacy role in HIV risk reduction may be helpful.

The Invited Leviathan in Iraq and Afghanistan: Strong-Men, the Afghan Local Police, and the Sons of Iraq

DTIC Science & Technology

2012-12-01

Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction ...defensively, out of a sense of threat and because of a belief that they had no alternative but to fight to the death to protect their communities in...Iraq “to marry senior al-Qaeda fighters to local brides. The aim was to sow deep roots in a community . But in Iraqi tribal structure, ‘marrying women

Collaborative Project. A Flexible Atmospheric Modeling Framework for the Community Earth System Model (CESM)

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

Gettelman, Andrew

2015-10-01

In this project we have been upgrading the Multiscale Modeling Framework (MMF) in the Community Atmosphere Model (CAM), also known as Super-Parameterized CAM (SP-CAM). This has included a major effort to update the coding standards and interface with CAM so that it can be placed on the main development trunk. It has also included development of a new software structure for CAM to be able to handle sub-grid column information. These efforts have formed the major thrust of the work.

Philanthropic Donor Perspectives on Supporting Nursing Excellence in a Community Hospital.

PubMed

Fickley, Sharon K; Mishler, Ray R; Black, Amelia S; DeGuzman, Pam B

2016-11-01

The purpose of this research is to explore donors' perspectives on support of nursing excellence in a community hospital. Philanthropic support is rapidly becoming critical to support nursing excellence in hospitals, including continuing education, nursing research, and professional development. However, no research has examined the experience of private donors who support nursing programs in community hospitals. Structured interviews were conducted with individuals with a history of providing significant financial support (gifts >$50 000) targeted specifically for nursing in a 176- bed community hospital in the southeastern United States. Analysis was performed using descriptive content analysis. Four themes emerged that centered around making a difference, helping nurses meet new challenges, an existing foundation of service, and valuing excellent nursing care received. This research provides specific information that nursing administrators can use when seeking philanthropic gifts to support nursing excellence programs in US community hospitals.

A qualitative study exploring physicians’ perceptions on the role of community pharmacists in Dubai

PubMed Central

2016-01-01

Objective: The aim of this study is to explore the perceptions of physicians operating within the boundaries of Dubai on the role of community pharmacists. Methods: Semi-structured interviews were done with 12 physicians working within the boundaries of Dubai Health Authority. Interviews mainly focused on understanding the perceptions of physicians on the role of community pharmacists in addition to willingness to integrating pharmacists in patient care process. Results: Key findings show that all interviewees agree that community pharmacists are important healthcare professionals. However, 7 physicians restrict the role of pharmacists to dispensing medicines. Physicians in Dubai are willing to collaborate with pharmacists, but more than half of them (7) think that pharmacists might interfere with their jobs. Conclusion: The study concludes that all informants agree that collaboration between community pharmacists and physicians definitely enhances patients’ drug therapy outcomes. PMID:27785161

Leveraging medical taxonomies to improve knowledge management within online communities of practice: The knowledge maps system.

PubMed

Stewart, Samuel Alan; Abidi, Syed Sibte Raza

2017-05-01

Online communities of practice contain a wealth of information, stored in the free text of shared communications between community members. The Knowledge Maps (KMaps) system is designed to facilitate Knowledge Translation in online communities through multi-level analyses of the shared messages of these communications. Using state-of-the-art semantic mapping technologies (Metamap) the contents of the messages shared within an online community are mapped to terms from the MeSH medical lexicon, providing a multi-level topic-specific summary of the knowledge being shared within the community. Using the inherent hierarchical structure of the lexicon important insights can be found within the community. The KMaps system was applied to two medical mailing lists, the PPML (archives from 2009-02 to 2013-02) and SURGINET (archives from 2012-01 to 2013-04), identifying 27,924 and 50,597 medical terms respectively. KMaps identified content areas where both communities found interest, specifically around Diseases, 22% and 24% of the total terms, while also identifying field-specific areas that were more popular: SURGINET expressed an interest in Anatomy (14% vs 4%) while the PPML was more interested in Drugs (19% vs 9%). At the level of the individual KMaps identified 6 PPML users and 9 SURGINET users that had noticeably more contributions to the community than their peers, and investigated their personal areas of interest. The KMaps system provides valuable insights into the structure of both communities, identifying topics of interest/shared content areas and defining content-profiles for individual community members. The system provides a valuable addition to the online KT process. Copyright © 2017 Elsevier B.V. All rights reserved.

U.S. Army War College Guide to National Security Issues. Volume 2. National Security Policy and Strategy

DTIC Science & Technology

2012-06-01

1998 National War College paper entitled “U.S. National Se- curity Structure: A New Model for the 21st Century” defines the national security community ...fueled by revolu- tions in communications and information management, the emergence of a truly global market and world economy, the primacy of economic...collection of information is estimated to average 1 hour per response, including the time for reviewing instructions , searching existing data sources

Development Index, A Proposed Pattern for Organizing and Facilitating the Flow of Information Needed By Man in Furthering His Own Development, With Particular Reference to the Development of Buildings and Communities and Other Forms of Environmental Control.

ERIC Educational Resources Information Center

Michigan Univ., Ann Arbor.

The organization of knowledge related to the development of the environment and the building industry is provided in this index which provides a framework or classification system for a broad range of information. Man's development in terms of environmental structuring and control is discussed as development goals, development cycle, and…

Creating Actionable Data from an Optical Depth Measurement Network using RDF

NASA Astrophysics Data System (ADS)

Freemantle, J. R.; O'Neill, N. T.; Lumb, L. I.; Abboud, I.; McArthur, B.

2010-12-01

The AEROCAN sunphotometery network has, for more than a decade, generated optical indicators of aerosol concentration and size on a regional and national scale. We believe this optical information can be rendered more “actionable” to the health care community by developing a technical and interpretative information-sharing geospatial strategy with that community. By actionable data we mean information that is presented in manner that can be understood and then used in the decision making process. The decision may be that of a technical professional, a policy maker or a machine. The information leading up to a decision may come from many sources; this means it is particularly important that data are well defined across knowledge fields, in our case atmospheric science and respiratory health science. As part of the AEROCAN operational quality assurance (QA) methodology we have written automatic procedures to make some of the AEROCAN data more accessible or “actionable”. Tim Berners-Lee has advocated making datasets, “Linked Data”, available on the web with a proper structural description (metadata). We have been using RDF (Resource Description Framework) to enhance the utility of our sunphotometer data; the resulting self-describing representation is structured so that it is machine readable. This allows semantically based queries (e.g., via SPARQL) on our dataset that in the past were only viewable as passive Web tables of data.

Detection of forest stand-level spatial structure in ectomycorrhizal fungal communities.

PubMed

Lilleskov, Erik A; Bruns, Thomas D; Horton, Thomas R; Taylor, D; Grogan, Paul

2004-08-01

Ectomycorrhizal fungal (EMF) communities are highly diverse at the stand level. To begin to understand what might lead to such diversity, and to improve sampling designs, we investigated the spatial structure of these communities. We used EMF community data from a number of studies carried out in seven mature and one recently fire-initiated forest stand. We applied various measures of spatial pattern to characterize distributions at EMF community and species levels: Mantel tests, Mantel correlograms, variance/mean and standardized variograms. Mantel tests indicated that in four of eight sites community similarity decreased with distance, whereas Mantel correlograms also found spatial autocorrelation in those four plus two additional sites. In all but one of these sites elevated similarity was evident only at relatively small spatial scales (< 2.6 m), whereas one exhibited a larger scale pattern ( approximately 25 m). Evenness of biomass distribution among cores varied widely among taxa. Standardized variograms indicated that most of the dominant taxa showed patchiness at a scale of less than 3 m, with a range from 0 to < or =17 m. These results have implications for both sampling scale and intensity to achieve maximum efficiency of community sampling. In the systems we examined, cores should be at least 3 m apart to achieve the greatest sampling efficiency for stand-level community analysis. In some cases even this spacing may result in reduced sampling efficiency arising from patterns of spatial autocorrelation. Interpretation of the causes and significance of these patterns requires information on the genetic identity of individuals in the communities.

Relationships between phyllosphere bacterial communities and plant functional traits in a neotropical forest

PubMed Central

Kembel, Steven W.; O’Connor, Timothy K.; Arnold, Holly K.; Hubbell, Stephen P.; Wright, S. Joseph; Green, Jessica L.

2014-01-01

The phyllosphere—the aerial surfaces of plants, including leaves—is a ubiquitous global habitat that harbors diverse bacterial communities. Phyllosphere bacterial communities have the potential to influence plant biogeography and ecosystem function through their influence on the fitness and function of their hosts, but the host attributes that drive community assembly in the phyllosphere are poorly understood. In this study we used high-throughput sequencing to quantify bacterial community structure on the leaves of 57 tree species in a neotropical forest in Panama. We tested for relationships between bacterial communities on tree leaves and the functional traits, taxonomy, and phylogeny of their plant hosts. Bacterial communities on tropical tree leaves were diverse; leaves from individual trees were host to more than 400 bacterial taxa. Bacterial communities in the phyllosphere were dominated by a core microbiome of taxa including Actinobacteria, Alpha-, Beta-, and Gammaproteobacteria, and Sphingobacteria. Host attributes including plant taxonomic identity, phylogeny, growth and mortality rates, wood density, leaf mass per area, and leaf nitrogen and phosphorous concentrations were correlated with bacterial community structure on leaves. The relative abundances of several bacterial taxa were correlated with suites of host plant traits related to major axes of plant trait variation, including the leaf economics spectrum and the wood density–growth/mortality tradeoff. These correlations between phyllosphere bacterial diversity and host growth, mortality, and function suggest that incorporating information on plant–microbe associations will improve our ability to understand plant functional biogeography and the drivers of variation in plant and ecosystem function. PMID:25225376

Strong coupling of plant and fungal community structure across western Amazonian rainforests

PubMed Central

Peay, Kabir G; Baraloto, Christopher; Fine, Paul VA

2013-01-01

The Amazon basin harbors a diverse ecological community that has a critical role in the maintenance of the biosphere. Although plant and animal communities have received much attention, basic information is lacking for fungal or prokaryotic communities. This is despite the fact that recent ecological studies have suggested a prominent role for interactions with soil fungi in structuring the diversity and abundance of tropical rainforest trees. In this study, we characterize soil fungal communities across three major tropical forest types in the western Amazon basin (terra firme, seasonally flooded and white sand) using 454 pyrosequencing. Using these data, we examine the relationship between fungal diversity and tree species richness, and between fungal community composition and tree species composition, soil environment and spatial proximity. We find that the fungal community in these ecosystems is diverse, with high degrees of spatial variability related to forest type. We also find strong correlations between α- and β-diversity of soil fungi and trees. Both fungal and plant community β-diversity were also correlated with differences in environmental conditions. The correlation between plant and fungal richness was stronger in fungal lineages known for biotrophic strategies (for example, pathogens, mycorrhizas) compared with a lineage known primarily for saprotrophy (yeasts), suggesting that this coupling is, at least in part, due to direct plant–fungal interactions. These data provide a much-needed look at an understudied dimension of the biota in an important ecosystem and supports the hypothesis that fungal communities are involved in the regulation of tropical tree diversity. PMID:23598789

Structural violence against Kothi-identified men who have sex with men in Chennai, India: a qualitative investigation.

PubMed

Chakrapani, Venkatesan; Newman, Peter A; Shunmugam, Murali; McLuckie, Alan; Melwin, Fredrick

2007-08-01

This qualitative investigation explored the experiences and contexts of stigma and discrimination among HIV-positive and high-risk kothi-identified men who have sex with men (MSM) in Chennai, India, and ramifications for HIV prevention. MSM were recruited through community agencies (n = 10) and public sex environments (n = 8), along with three key informants. In-depth, semistructured interviews were conducted, audiotaped, and transcribed. Narrative thematic analysis and a constant comparative method were used to identify themes. Findings revealed multiple intersecting social and institutional contexts and experiences of stigmatization, discrimination, and violence across police, community, family, and health care systems, as well as illuminating consequences for MSM. Multisystemic structural violence places kothis at extreme vulnerability for HIV infection and AIDS. Public mass media antidiscrimination campaigns, education and training of health care providers and police, funding of indigenous MSM community organizations, and decriminalization of consensual sex between same-sex adults may help to combat stigma, discrimination, and violence against MSM, which is fundamental to effective HIV prevention.

Classification of functional interactions from multi-electrodes data using conditional modularity analysis

NASA Astrophysics Data System (ADS)

Makhtar, Siti Noormiza; Senik, Mohd Harizal

2018-02-01

The availability of massive amount of neuronal signals are attracting widespread interest in functional connectivity analysis. Functional interactions estimated by multivariate partial coherence analysis in the frequency domain represent the connectivity strength in this study. Modularity is a network measure for the detection of community structure in network analysis. The discovery of community structure for the functional neuronal network was implemented on multi-electrode array (MEA) signals recorded from hippocampal regions in isoflurane-anaesthetized Lister-hooded rats. The analysis is expected to show modularity changes before and after local unilateral kainic acid (KA)-induced epileptiform activity. The result is presented using color-coded graphic of conditional modularity measure for 19 MEA nodes. This network is separated into four sub-regions to show the community detection within each sub-region. The results show that classification of neuronal signals into the inter- and intra-modular nodes is feasible using conditional modularity analysis. Estimation of segregation properties using conditional modularity analysis may provide further information about functional connectivity from MEA data.

Exploring the spiral of silence in adjustable social networks

NASA Astrophysics Data System (ADS)

Wu, Yue; Du, Ya-Jun; Li, Xian-Yong; Chen, Xiao-Liang

2015-03-01

This study extends the understanding of the spiral of silence theory by taking into account four factors, including the topology of networks, the time factor of information transmission, the node degree of individuals and the freedom of expression. Simulation experiments analyze the silencers, public opinion in steady state and relaxation time in small-world networks, scale-free networks and community-structured networks by adjusting the initial conditions. Results highlight that individuals are easier to keep silent in scale-free network, especially when the individual with big degree and minority opinion starts the discussion. Conversely, there are only a few individuals keep silent in the community-structured network when the two communities hold opposite opinions. Moreover, the number of silencers grows as the degree of coupling increases, and it decreases as the freedom of expression goes up. By analyzing the public opinion evolution, we also find some important conditions, such as the network topology, the potential public opinion distribution, and the status and sides of the first speaker, can drive the minority reversal.

Risky traditional practices and prevention of mother-to-child transmission of HIV: the case of Chiota community in Zimbabwe.

PubMed

Nyati-Jokomo, Zibusiso; January, James; Ruparanganda, Watch; Chitsike, Inam

2016-01-01

The objective of this study was to explore cultural practices that could expose babies to HIV infection during the postnatal period in Chiota community in Zimbabwe. Purposively selected and gender disaggregated members of the community (n = 231) were informants to 23 focus group discussions and 8 semi-structured key-informant interviews. Data were analysed thematically. Emerging themes relating to risky practices were rituals surrounding open fontanelle, toning of child's sexual libido, initiation of sex after childbirth, treatment of eye and ear infections, tongue-tie and pre-mastication. These practices exposed babies to bodily fluids such as saliva, breast milk, vaginal fluids, pre-cum and semen which in turn put the babies at low to high risk of contracting HIV. This paper discusses implications for these risky practices in prevention of mother-to-child transmission of HIV. There is, therefore, need for studies to establish the prevalence of these practices.

Multidirectional Translation of Environmental Health Science in Community Settings: The Case of Oxidative Stress Pathways.

PubMed

Sampson, Natalie R; Tetteh, Myra M; Schulz, Amy J; Ramirez, Erminia; Wilkins, Donele; de Majo, Ricardo; Mentz, Graciela; Johnson-Lawrence, Vicki

2016-01-01

Translation of environmental health science in vulnerable communities is particularly important to promote public health and reduce health inequities. We describe a structured, multidirectional process used to develop a suite of health promotion tools (e.g., fact sheets, video, maps) documenting patterning of local air pollution sources and availability of antioxidant-rich foods in Detroit, Michigan as factors that jointly affect oxidative stress (OS). OS underlies many pathological processes associated with air pollution, including asthma, metabolic syndrome, cancer, diabetes, and obesity. This translational effort involved a 2-year dialogue among representatives from community-based and environmental organizations, health service providers, and academic researchers. This dialogue led to development of tools, as well as new opportunities to inform related policies and research. Through this example, we highlight how collaborative partnerships can enhance multidirectional dialogue to inform translation of environmental health science by promoting consideration of multilevel risk factors, local priorities and context, and diverse audiences.

Reinsurance of health insurance for the informal sector.

PubMed Central

Dror, D. M.

2001-01-01

Deficient financing of health services in low-income countries and the absence of universal insurance coverage leaves most of the informal sector in medical indigence, because people cannot assume the financial consequences of illness. The role of communities in solving this problem has been recognized, and many initiatives are under way. However, community financing is rarely structured as health insurance. Communities that pool risks (or offer insurance) have been described as micro-insurance units. The sources of their financial instability and the options for stabilization are explained. Field data from Uganda and the Philippines, as well as simulated situations, are used to examine the arguments. The article focuses on risk transfer from micro-insurance units to reinsurance. The main insight of the study is that when the financial results of micro-insurance units can be estimated, they can enter reinsurance treaties and be stabilized from the first year. The second insight is that the reinsurance pool may require several years of operation before reaching cost neutrality. PMID:11477971

Intelligent community management system based on the devicenet fieldbus

NASA Astrophysics Data System (ADS)

Wang, Yulan; Wang, Jianxiong; Liu, Jiwen

2013-03-01

With the rapid development of the national economy and the improvement of people's living standards, people are making higher demands on the living environment. And the estate management content, management efficiency and service quality have been higher required. This paper in-depth analyzes about the intelligent community of the structure and composition. According to the users' requirements and related specifications, it achieves the district management systems, which includes Basic Information Management: the management level of housing, household information management, administrator-level management, password management, etc. Service Management: standard property costs, property charges collecting, the history of arrears and other property expenses. Security Management: household gas, water, electricity and security and other security management, security management district and other public places. Systems Management: backup database, restore database, log management. This article also carries out on the Intelligent Community System analysis, proposes an architecture which is based on B / S technology system. And it has achieved a global network device management with friendly, easy to use, unified human - machine interface.

Advanced situation awareness with localised environmental community observatories in the Future Internet

NASA Astrophysics Data System (ADS)

Sabeur, Z. A.; Denis, H.; Nativi, S.

2012-04-01

The phenomenal advances in information and communication technologies over the last decade have led to offering unprecedented connectivity with real potentials for "Smart living" between large segments of human populations around the world. In particular, Voluntary Groups(VGs) and individuals with interest in monitoring the state of their local environment can be connected through the internet and collaboratively generate important localised environmental observations. These could be considered as the Community Observatories(CO) of the Future Internet(FI). However, a set of FI enablers are needed to be deployed for these communities to become effective COs in the Future Internet. For example, these communities will require access to services for the intelligent processing of heterogeneous data and capture of advancend situation awarness about the environment. This important enablement will really unlock the communities true potential for participating in localised monitoring of the environment in addition to their contribution in the creation of business entreprise. Among the eight Usage Areas(UA) projects of the FP7 FI-PPP programme, the ENVIROFI Integrated Project focuses on the specifications of the Future Internet enablers of the Environment UA. The specifications are developed under multiple environmental domains in context of users needs for the development of mash-up applications in the Future Internet. It will enable users access to real-time, on-demand fused information with advanced situation awareness about the environment at localised scales. The mash-up applications shall get access to rich spatio-temporal information from structured fusion services which aggregate COs information with existing environmental monitoring stations data, established by research organisations and private entreprise. These applications are being developed in ENVIROFI for the atmospheric, marine and biodiversity domains, together with a potential to be extended to other domains and scenarios concerning smart and safe living in the Future Internet.

Effects of polycyclic aromatic hydrocarbons on microbial community structure and PAH ring hydroxylating dioxygenase gene abundance in soil.

PubMed

Sawulski, Przemyslaw; Clipson, Nicholas; Doyle, Evelyn

2014-11-01

Development of successful bioremediation strategies for environments contaminated with recalcitrant pollutants requires in-depth knowledge of the microorganisms and microbial processes involved in degradation. The response of soil microbial communities to three polycyclic aromatic hydrocarbons, phenanthrene (3-ring), fluoranthene (4-ring) and benzo(a)pyrene (5-ring), was examined. Profiles of bacterial, archaeal and fungal communities were generated using molecular fingerprinting techniques (TRFLP, ARISA) and multivariate statistical tools were employed to interpret the effect of PAHs on community dynamics and composition. The extent and rate of PAH removal was directly related to the chemical structure, with the 5-ring PAH benzo(a)pyrene degraded more slowly than phenathrene or fluoranthene. Bacterial, archaeal and fungal communities were all significantly affected by PAH amendment, time and their interaction. Based on analysis of clone libraries, Actinobacteria appeared to dominate in fluoranthene amended soil, although they also represented a significant portion of the diversity in phenanthrene amended and unamended soils. In addition there appeared to be more γ-Proteobacteria and less Bacteroidetes in soil amended with either PAH compared to the control. The soil bacterial community clearly possessed the potential to degrade PAHs as evidenced by the abundance of PAH ring hydroxylating (PAH-RHDα) genes from both gram negative (GN) and gram positive (GP) bacteria in PAH-amended and control soils. Although the dioxygenase gene from GP bacteria was less abundant in soil than the gene associated with GN bacteria, significant (p < 0.001) increases in the abundance of the GP PAH-RHDα gene were observed during phenanthrene and fluoranthene degradation, whereas there was no significant difference in the abundance of the GN PAH-RHDα gene during the course of the experiment. Few studies to-date have examined the effect of pollutants on more than one microbial community in soil. The current study provides information on the response of soil bacterial, archaeal and fungal communities during the degradation of three priority pollutants and contributes to a knowledge base that can inform the development of effective bioremediation strategies for contaminated sites.

Challenges to the implementation of the integrated management of childhood illness (IMCI) at community health centres in West Java province, Indonesia.

PubMed

Titaley, C R; Jusril, H; Ariawan, I; Soeharno, N; Setiawan, T; Weber, M W

2014-01-01

The integrated management of childhood illness (IMCI) is a comprehensive approach to child health, which has been adopted in Indonesia since 1997. This study aims to provide an overview of IMCI implementation at community health centres (puskesmas) in West Java province, Indonesia. Data were derived from a cross-sectional study conducted in 10 districts of West Java province, from November to December 2012. Semi-structured interviews were used to obtain information from staff at 80 puskesmas, including the heads (80 informants), pharmacy staff (79 informants) and midwives/nurses trained in IMCI (148 informants), using semi-structured interviews. Quantitative data were analysed using frequency tabulations and qualitative data were analysed by identifying themes that emerged in informants' responses. Almost all (N = 79) puskesmas implemented the IMCI strategy; however, only 64% applied it to all visiting children. Several barriers to IMCI implementation were identified, including shortage of health workers trained in IMCI (only 43% of puskesmas had all health workers in the child care unit trained in IMCI and 40% of puskesmas conducted on-the-job training). Only 19% of puskesmas had all the essential drugs and equipment for IMCI. Nearly all health workers acknowledged the importance of IMCI in their routine services and very few did not perceive its benefits. Lack of supervision from district health office staff and low community awareness regarding the importance of IMCI were reported. Complaints received from patients'families were generally related to the long duration of treatment and no administration of medication after physical examination. Interventions aiming to create local regulations endorsing IMCI implementation; promoting monitoring and supervision; encouraging on-the-job training for health workers; and strengthening training programmes, counselling and other promotional activities are important for promoting IMCI implementation in West Java province, and are also likely to be useful elsewhere in the country.

Marine fish community structure and habitat associations on the Canadian Beaufort shelf and slope

NASA Astrophysics Data System (ADS)

Majewski, Andrew R.; Atchison, Sheila; MacPhee, Shannon; Eert, Jane; Niemi, Andrea; Michel, Christine; Reist, James D.

2017-03-01

Marine fishes in the Canadian Beaufort Sea have complex interactions with habitats and prey, and occupy a pivotal position in the food web by transferring energy between lower- and upper-trophic levels, and also within and among habitats (e.g., benthic-pelagic coupling). The distributions, habitat associations, and community structure of most Beaufort Sea marine fishes, however, are unknown thus precluding effective regulatory management of emerging offshore industries in the region (e.g., hydrocarbon development, shipping, and fisheries). Between 2012 and 2014, Fisheries and Oceans Canada conducted the first baseline survey of offshore marine fishes, their habitats, and ecological relationships in the Canadian Beaufort Sea. Benthic trawling was conducted at 45 stations spanning 18-1001 m depths across shelf and slope habitats. Physical oceanographic variables (depth, salinity, temperature, oxygen), biological variables (benthic chlorophyll and integrated water-column chlorophyll) and sediment composition (grain size) were assessed as potential explanatory variables for fish community structure using a non-parametric statistical approach. Selected stations were re-sampled in 2013 and 2014 for a preliminary assessment of inter-annual variability in the fish community. Four distinct fish assemblages were delineated on the Canadian Beaufort Shelf and slope: 1) Nearshore-shelf: <50 m depth, 2) Offshore-shelf: >50 and ≤200 m depths, 3) Upper-slope: ≥200 and ≤500 m depths, and 4) Lower-slope: ≥500 m depths. Depth was the environmental variable that best explained fish community structure, and each species assemblage was spatially associated with distinct aspects of the vertical water mass profile. Significant differences in the fish community from east to west were not detected, and the species composition of the assemblages on the Canadian Beaufort Shelf have not changed substantially over the past decade. This community analysis provides a framework for testing hypotheses regarding the trophic dynamics and ecosystem roles of Beaufort Sea marine fishes, including biological linkages (i.e., fish movements and trophic interactions) among offshore habitats. Understanding regional-scale habitat associations will also provide context to identify potentially unique and/or sensitive habitats and fish community characteristics, thus aiding identification of ecologically and biologically significant areas, and to inform conservation efforts.

The Opposite of Denial: Social Learning at the Onset of the Ebola Emergency in Liberia.

PubMed

Abramowitz, Sharon; McKune, Sarah Lindley; Fallah, Mosoka; Monger, Josephine; Tehoungue, Kodjo; Omidian, Patricia A

2017-01-01

This study analyzes findings from a rapid-response community-based qualitative research initiative to study the content of Ebola-related communications and the transmission of Ebola-related behaviors and practices through mass media communications and social learning in Monrovia, Liberia during August-September 2014. Thirteen neighborhoods in the common Monrovia media market were studied to appraise the reach of health communications and outreach regarding Ebola prevention and response measures. A World Health Organization (WHO) research team collected data on social learning and Ebola knowledge, attitudes, and practices through focus group-based discussions and key informant interviews over a 14-day period to assess the spread of information during a period of rapidly escalating crisis. Findings show that during a 2-week period, Monrovia neighborhood residents demonstrated rapid changes in beliefs about the source of Ebola, modes of contagion, and infection prevention and control (IPC) practices, discarding incorrect information. Changes in practices tended to lag behind the acquisition of learning. Findings also show that many continued to support conspiracy theories even as correct information was acquired. The implications for community engagement are substantial: (1) Under conditions of accelerating mortality, communities rapidly assimilate health information and abandon incorrect information; (2) Behavior change is likely to lag behind changes in beliefs due to local physical, structural, sociocultural, and institutional constraints; (3) Reports of "resistance" in Monrovia during the Ebola response were overstated and based on a limited number of incidents, and failed to account for specific local conditions and constraints.

Clients' experiences of a community based lifestyle modification program: a qualitative study.

PubMed

Chan, Ruth S M; Lok, Kris Y W; Sea, Mandy M M; Woo, Jean

2009-10-01

There is little information about how clients attending lifestyle modification programs view the outcomes. This qualitative study examined the clients' experience of a community based lifestyle modification program in Hong Kong. Semi-structured interviews were conducted with 25 clients attending the program. Clients perceived the program had positive impacts on their health and nutrition knowledge. They experienced frustration, negative emotion, lack of motivation, and pressure from others during the program. Working environment and lack of healthy food choices in restaurants were the major perceived environmental barriers for lifestyle modification. Clients valued nutritionists' capability of providing professional information and psychological support in the program. Our results suggest that nutritionist's capability of providing quality consultations and patient-centered care are important for empowering clients achieve lifestyle modification.

Peer Assisted Learning and Blogging: A Strategy to Promote Reflective Practice during Clinical Fieldwork

ERIC Educational Resources Information Center

Ladyshewsky, Richard K.; Gardner, Peter

2008-01-01

The use of peer assisted learning in clinical education is explored in this case study. Groups of undergraduate physiotherapy students were structured into communities of practice during the second half of their clinical fieldwork program. They collaborated online in an asynchronous manner, using information communications technology (blogs) and…

Using Cultural Capital as a Resource for Negotiating Participation in a Teacher Community of Practice: A Case Study

ERIC Educational Resources Information Center

Maistry, Suriamurthee

2010-01-01

Continuing professional development (CPD) initiatives for teachers in South Africa take on various forms, ranging from formalised, structured, credit-bearing certification programmes to informal, relatively unstructured, situated learning programmes. While many formal programmes can claim success by measuring throughput rates, there is still much…

Grievance and Redress: Chicano Access to the Criminal Justice System.

ERIC Educational Resources Information Center

Geilhufe, Nancy L.

Focusing on the processes involved in making formal bureaucracies responsive, the study examined: the structure of formal grievance and redress procedures within the criminal justice system in San Jose, California; and the informal strategies used by politically active members of the Chicano community to extend and strengthen these channels. The…

Teaching about a Sex Work Community in India: Toward a Postcolonial Pedagogy

ERIC Educational Resources Information Center

Ghose, Toorjo

2012-01-01

Scholars have questioned the validity of universal social work values and the manner in which international welfare interventions manage basic needs without affecting structural change. This article examines a class on engaging with sex workers in India that was informed by the critiques of normative international welfare engagement. The analysis…

Families That Work: Children In a Changing World.

ERIC Educational Resources Information Center

Kamerman, Sheila B., Ed.; Hayes, Cheryl D., Ed.

The papers in this book investigate the current state of knowledge about how families, various formal and informal community institutions, the workplace, and the marketplace have adapted to changing patterns of labor force participation and related changes in family structure and with what consequences for children. The book is divided into three…

Communication Within the Educational Research and Development Community--Suggested Steps Toward Further Structure and Order

ERIC Educational Resources Information Center

Nelson, Carnot E.

1973-01-01

Identifies two major problems--first, both the formal and informal communication networks are extremely diffuse; and second, the interval from the start of a piece of research until its integration into the archival body of scientific knowledge is long--and presents some suggestions for alleviating them. (Author/JM)

Assessing the Effects of Disease and Bleaching on Florida Keys Corals by Fitting Population Models to Data

EPA Science Inventory

Coral diseases have increased in frequency over the past few decades and have important influences on the structure and composition of coral reef communities. However, there is limited information on the etiologies of many coral diseases, and pathways via which coral diseases ar...

Cost Analysis of CATV Components. Final Report.

ERIC Educational Resources Information Center

Weinberg, Gary

A research study was conducted for the Office of Telecommunications Policy to determine the capital outlay and operating costs of community antenna television (CATV) systems. Six major tasks were undertaken: 1) the development of a body of technical information about CATV; 2) the production of a complete work breakdown structure; 3) a cost…

Indicators and Methods for Constructing a U.S. Tribal Well-being Index for Sustainable and Healthy Communities Research

EPA Science Inventory

A Human Well-being Index (HWBI) has been developed for the U.S. to help inform and empower decision makers to weigh and integrate human health, socio-economic, environmental and ecological factors equitably to foster sustainability. The integrity of the index structure is designe...

Growing Opportunities: CSA Members, CSA Farmers, and Informal Learning in the USA

ERIC Educational Resources Information Center

Everson, Connie

2015-01-01

Community-supported agriculture (CSA) began as a loosely formalised, vaguely socialistic agreement between consumers and farmers through which the consumers were provided with fresh produce from the farms. When the institution became more structured, education gained a near-equal footing with the nutritional offerings. My research indicated that…

Library Web Site Administration: A Strategic Planning Model For the Smaller Academic Library

ERIC Educational Resources Information Center

Ryan, Susan M.

2003-01-01

Strategic planning provides a useful structure for creating and implementing library web sites. The planned integration of a library's web site into its mission and objectives ensures that the library's community of users will consider the web site one of the most important information tools the library offers.

Echo Chambers: Emotional Contagion and Group Polarization on Facebook

NASA Astrophysics Data System (ADS)

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

2016-12-01

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

The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data

PubMed Central

Berman, Helen; Henrick, Kim; Nakamura, Haruki; Markley, John L.

2007-01-01

The worldwide Protein Data Bank (wwPDB) is the international collaboration that manages the deposition, processing and distribution of the PDB archive. The online PDB archive is a repository for the coordinates and related information for more than 38 000 structures, including proteins, nucleic acids and large macromolecular complexes that have been determined using X-ray crystallography, NMR and electron microscopy techniques. The founding members of the wwPDB are RCSB PDB (USA), MSD-EBI (Europe) and PDBj (Japan) [H.M. Berman, K. Henrick and H. Nakamura (2003) Nature Struct. Biol., 10, 980]. The BMRB group (USA) joined the wwPDB in 2006. The mission of the wwPDB is to maintain a single archive of macromolecular structural data that are freely and publicly available to the global community. Additionally, the wwPDB provides a variety of services to a broad community of users. The wwPDB website at provides information about services provided by the individual member organizations and about projects undertaken by the wwPDB. PMID:17142228

Collecting and registering sexual health information in the context of HIV risk in the electronic medical record of general practitioners: a qualitative exploration of the preference of general practitioners in urban communities in Flanders (Belgium).

PubMed

Vos, Jolien; Pype, Peter; Deblonde, Jessika; Van den Eynde, Sandra; Aelbrecht, Karolien; Deveugele, Myriam; Avonts, Dirk

2016-07-01

Background and aim Current health-care delivery requires increasingly proactive and inter-professional work. Therefore, collecting patient information and knowledge management is of paramount importance. General practitioners (GPs) are well placed to lead these evolving models of care delivery. However, it is unclear how they are handling these changes. To gain an insight into this matter, the HIV epidemic was chosen as a test case. Data were collected and analysed from 13 semi-structured interviews with GPs, working in urban communities in Flanders. Findings GPs use various types of patient information to estimate patients' risk of HIV. The way in which sexual health information is collected and registered, depends on the type of information under discussion. General patient information and medical history data are often automatically collected and registered. Proactively collecting sexual health information is uncommon. Moreover, the registration of the latter is not obvious, mostly owing to insufficient space in the electronic medical record (EMR). GPs seem willing to systematically collect and register sexual health information, in particular about HIV-risk factors. They expressed a need for guidance together with practical adjustments of the EMR to adequately capture and share this information.

An Australian Indigenous community-led suicide intervention skills training program: community consultation findings.

PubMed

Nasir, Bushra; Kisely, Steve; Hides, Leanne; Ranmuthugala, Geetha; Brennan-Olsen, Sharon; Nicholson, Geoffrey C; Gill, Neeraj S; Hayman, Noel; Kondalsamy-Chennakesavan, Srinivas; Toombs, Maree

2017-06-13

Little is known of the appropriateness of existing gatekeeper suicide prevention programs for Indigenous communities. Despite the high rates of Indigenous suicide in Australia, especially among Indigenous youth, it is unclear how effective existing suicide prevention programs are in providing appropriate management of Indigenous people at risk of suicide. In-depth, semi-structured interviews and focus groups were conducted with Indigenous communities in rural and regional areas of Southern Queensland. Thematic analysis was performed on the gathered information. Existing programs were time-intensive and included content irrelevant to Indigenous people. There was inconsistency in the content and delivery of gatekeeper training. Programs were also not sustainable for rural and regional Indigenous communities. Appropriate programs should be practical, relevant, and sustainable across all Indigenous communities, with a focus on the social, emotional, cultural and spiritual underpinnings of community wellbeing. Programs need to be developed in thorough consultation with Indigenous communities. Indigenous-led suicide intervention training programs are needed to mitigate the increasing rates of suicide experienced by Indigenous peoples living in rural and remote locations.

Consumer perspectives of a community paramedicine program in rural Ontario.

PubMed

Martin, Angela; O'Meara, Peter; Farmer, Jane

2016-08-01

To evaluate a community paramedicine program in rural Ontario, Canada, through the perceptions and experiences of consumers. An observational ethnographic approach was used to acquire qualitative data through informal discussions, semi-structured interviews and direct observation of interactions between consumers and community paramedics. The study was conducted in rural Ontario where a community paramedicine program has been established consisting of four components: ad hoc home visiting, ageing at home, paramedic wellness clinics and community paramedic response unit. Fourteen adult consumers participated, representing all program components. Consumer satisfaction and perceived benefits. Three main interlinked themes were identified: (i) improved health monitoring and primary health care access close to home; (ii) improved sense of security and support for vulnerable residents in the community; and (iii) improved consumer education and empowerment for enhanced health management. Consumers' reflections on their experiences and perceptions of a rural community paramedicine program indicate acceptance of paramedics in non-traditional preventative health care roles. This supports the desirability of investigating the potential development of community paramedicine programs in rural Australia to meet identified health service needs. © 2015 National Rural Health Alliance Inc.

Emerging communities of child-healthcare practice in the management of long-term conditions such as chronic kidney disease: qualitative study of parents' accounts.

PubMed

Carolan, Ian; Smith, Trish; Hall, Andy; Swallow, Veronica M

2014-07-07

Parents of children and young people with long-term conditions who need to deliver clinical care to their child at home with remote support from hospital-based professionals, often search the internet for care-giving information. However, there is little evidence that the information available online was developed and evaluated with parents or that it acknowledges the communities of practice that exist as parents and healthcare professionals share responsibility for condition management. The data reported here are part of a wider study that developed and tested a condition-specific, online parent information and support application with children and young people with chronic-kidney disease, parents and professionals. Semi-structured interviews were conducted with 19 fathers and 24 mothers who had recently tested the novel application. Data were analysed using Framework Analysis and the Communities of Practice concept. Evolving communities of child-healthcare practice were identified comprising three components and several sub components: (1) Experiencing (parents making sense of clinical tasks) through Normalising care, Normalising illness, Acceptance & action, Gaining strength from the affected child and Building relationships to formalise a routine; (2) Doing (Parents executing tasks according to their individual skills) illustrated by Developing coping strategies, Importance of parents' efficacy of care and Fear of the child's health failing; and (3) Belonging/Becoming (Parents defining task and group members' worth and creating a personal identity within the community) consisting of Information sharing, Negotiation with health professionals and Achieving expertise in care. Parents also recalled factors affecting the development of their respective communities of healthcare practice; these included Service transition, Poor parent social life, Psycho-social affects, Family chronic illness, Difficulty in learning new procedures, Shielding and avoidance, and Language and cultural barriers. Health care professionals will benefit from using the communities of child-healthcare practice model when they support parents of children with chronic kidney disease. Understanding some of the factors that may influence the development of communities of child-healthcare practice will help professionals to tailor information and support for parents learning to manage their child's healthcare. Our results are potentially transferrable to professionals managing the care of children and young people with other long-term conditions.

Metagenome, metatranscriptome, and metaproteome approaches unraveled compositions and functional relationships of microbial communities residing in biogas plants.

PubMed

Hassa, Julia; Maus, Irena; Off, Sandra; Pühler, Alfred; Scherer, Paul; Klocke, Michael; Schlüter, Andreas

2018-06-01

The production of biogas by anaerobic digestion (AD) of agricultural residues, organic wastes, animal excrements, municipal sludge, and energy crops has a firm place in sustainable energy production and bio-economy strategies. Focusing on the microbial community involved in biomass conversion offers the opportunity to control and engineer the biogas process with the objective to optimize its efficiency. Taxonomic profiling of biogas producing communities by means of high-throughput 16S rRNA gene amplicon sequencing provided high-resolution insights into bacterial and archaeal structures of AD assemblages and their linkages to fed substrates and process parameters. Commonly, the bacterial phyla Firmicutes and Bacteroidetes appeared to dominate biogas communities in varying abundances depending on the apparent process conditions. Regarding the community of methanogenic Archaea, their diversity was mainly affected by the nature and composition of the substrates, availability of nutrients and ammonium/ammonia contents, but not by the temperature. It also appeared that a high proportion of 16S rRNA sequences can only be classified on higher taxonomic ranks indicating that many community members and their participation in AD within functional networks are still unknown. Although cultivation-based approaches to isolate microorganisms from biogas fermentation samples yielded hundreds of novel species and strains, this approach intrinsically is limited to the cultivable fraction of the community. To obtain genome sequence information of non-cultivable biogas community members, metagenome sequencing including assembly and binning strategies was highly valuable. Corresponding research has led to the compilation of hundreds of metagenome-assembled genomes (MAGs) frequently representing novel taxa whose metabolism and lifestyle could be reconstructed based on nucleotide sequence information. In contrast to metagenome analyses revealing the genetic potential of microbial communities, metatranscriptome sequencing provided insights into the metabolically active community. Taking advantage of genome sequence information, transcriptional activities were evaluated considering the microorganism's genetic background. Metaproteome studies uncovered enzyme profiles expressed by biogas community members. Enzymes involved in cellulose and hemicellulose decomposition and utilization of other complex biopolymers were identified. Future studies on biogas functional microbial networks will increasingly involve integrated multi-omics analyses evaluating metagenome, transcriptome, proteome, and metabolome datasets.

Shifts of microbial community structure in soils of a photovoltaic plant observed using tag-encoded pyrosequencing of 16S rRNA.

PubMed

Wu, Shijin; Li, Yuan; Wang, Penghua; Zhong, Li; Qiu, Lequan; Chen, Jianmeng

2016-04-01

The environmental risk of fluoride and chloride pollution is pronounced in soils adjacent to solar photovoltaic sites. The elevated levels of fluoride and chloride in these soils have had significant impacts on the population size and overall biological activity of the soil microbial communities. The microbial community also plays an essential role in remediation of these soils. Questions remain as to how the fluoride and chloride contamination and subsequent remediation at these sites have impacted the population structure of the soil microbial communities. We analyzed the microbial communities in soils collected from close to a solar photovoltaic enterprise by pyrosequencing of the 16S rRNA tag. In addition, we used multivariate statistics to identity the relationships shared between sequence diversity and heterogeneity in the soil environment. The overall microbial communities were surprisingly diverse, harboring a wide variety of taxa and sharing significant correlations with different degrees of fluoride and chloride contamination. The contaminated soils harbored abundant bacteria that were probably resistant to the high acidity, high fluoride and chloride concentration, and high osmotic pressure environment. The dominant genera were Sphingomonas, Subgroup_6_norank, Clostridium sensu stricto, Nitrospira, Rhizomicrobium, and Acidithiobacillus. The results of this study provide new information regarding a previously uncharacterized ecosystem and show the value of high-throughput sequencing in the study of complex ecosystems.

Optimizing information technology to improve sexual health-care delivery: public and patient preferences.

PubMed

Ross, J D C; Copas, A; Stephenson, J; Fellows, L; Gilleran, G

2007-07-01

Information and communication technology (ICT) has the potential to improve the quality of care and efficiency in sexual health clinics, but its introduction requires input not only from health-care professionals and ICT specialists but also from service users and potential future users. In this study, views on ICT in relation to the delivery of sexual health services were assessed using a structured interview in two groups - a community sample of young people and a clinic sample of existing patients. In all, 542 community interviewees and 202 clinic patients participated. About 75% of respondents had access to the Internet and overall 60% reported that the self-collection of a sexual history on an electronic form was acceptable. Black Caribbean individuals had significantly less access to the Internet and a lower acceptance of electronic data collection. For booking an appointment, the majority of patients reported the telephone (community sample 93%, clinic sample 96%) or attending in person (community sample 77%, clinic sample 54%) to be acceptable, with a smaller proportion choosing email (community sample 10%, clinic sample 27%) or the Internet (community sample 7%, clinic sample 11%). Electronic booking was significantly less acceptable to Black Caribbean respondents. Although new technologies offer the opportunity to improve the quality of sexual health services, patient preferences and differences between groups in access to technology also need to be considered when services are reconfigured.

Associated pathways between neighborhood environment, community resource factors and leisure-time physical activity among Mexican-American adults in San Diego, CA

PubMed Central

Martinez, Suzanna M.; Ayala, Guadalupe X.; Patrick, Kevin; Arredondo, Elva M.; Roesch, Scott; Elder, John

2014-01-01

Purpose To examine pathways between individual, social, and environmental factors associated with leisure-time physical activity (LTPA) among Mexican-American adults. Design Cross-sectional design using random digit dialing to administer a structured telephone interview. Setting Mexican-American adults living in a U.S./Mexican border community in San Diego, CA (N=672). Measures Data were collected on LTPA, demographic characteristics, acculturation, and other psychosocial and environmental factors associated with LTPA. Analysis Structural equation modeling to test an a priori model of LTPA. Results Participants were mostly female (71%) with a mean age of 39 years (SD = 13). Only 32% of participants met PA guidelines in their leisure time, with men (39%) meeting the guidelines more than women (29%). Using structural equation modeling, neighborhood factors, both social and environmental, showed indirect relationships with meeting PA guidelines through community resource factors. Significant covariates included marital status and age. Conclusion Individual, social and environmental factors were associated with LTPA in this sample of Mexican-American adults. These findings can inform intervention studies that aim to increase LTPA in this population. PMID:22548422

Formalizing An Approach to Curate the Global Change Master Directory (GCMD)'s Controlled Vocabularies (Keywords) Through a Keyword Governance Process and Community Involvement

NASA Astrophysics Data System (ADS)

Stevens, T.

2016-12-01

NASA's Global Change Master Directory (GCMD) curates a hierarchical set of controlled vocabularies (keywords) covering Earth sciences and associated information (data centers, projects, platforms, and instruments). The purpose of the keywords is to describe Earth science data and services in a consistent and comprehensive manner, allowing for precise metadata search and subsequent retrieval of data and services. The keywords are accessible in a standardized SKOS/RDF/OWL representation and are used as an authoritative taxonomy, as a source for developing ontologies, and to search and access Earth Science data within online metadata catalogs. The keyword curation approach involves: (1) receiving community suggestions; (2) triaging community suggestions; (3) evaluating keywords against a set of criteria coordinated by the NASA Earth Science Data and Information System (ESDIS) Standards Office; (4) implementing the keywords; and (5) publication/notification of keyword changes. This approach emphasizes community input, which helps ensure a high quality, normalized, and relevant keyword structure that will evolve with users' changing needs. The Keyword Community Forum, which promotes a responsive, open, and transparent process, is an area where users can discuss keyword topics and make suggestions for new keywords. Others could potentially use this formalized approach as a model for keyword curation.