Red Storm usage model :Version 1.12.

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

Jefferson, Karen L.; Sturtevant, Judith E.

Red Storm is an Advanced Simulation and Computing (ASC) funded massively parallel supercomputer located at Sandia National Laboratories (SNL). The Red Storm Usage Model (RSUM) documents the capabilities and the environment provided for the FY05 Tri-Lab Level II Limited Availability Red Storm User Environment Milestone and the FY05 SNL Level II Limited Availability Red Storm Platform Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure computing environments at Los Alamos National Laboratory (LANL), Lawrence Livermore National Laboratory (LLNL),more » and SNL. Additionally, the Red Storm Usage Model maps the provided capabilities to the Tri-Lab ASC Computing Environment (ACE) requirements. The ACE requirements reflect the high performance computing requirements for the ASC community and have been updated in FY05 to reflect the community's needs. For each section of the RSUM, Appendix I maps the ACE requirements to the Limited Availability User Environment capabilities and includes a description of ACE requirements met and those requirements that are not met in that particular section. The Red Storm Usage Model, along with the ACE mappings, has been issued and vetted throughout the Tri-Lab community.« less

Community Coordinated Modeling Center (CCMC): Using innovative tools and services to support worldwide space weather scientific communities and networks

NASA Astrophysics Data System (ADS)

Mendoza, A. M.; Bakshi, S.; Berrios, D.; Chulaki, A.; Evans, R. M.; Kuznetsova, M. M.; Lee, H.; MacNeice, P. J.; Maddox, M. M.; Mays, M. L.; Mullinix, R. E.; Ngwira, C. M.; Patel, K.; Pulkkinen, A.; Rastaetter, L.; Shim, J.; Taktakishvili, A.; Zheng, Y.

2012-12-01

Community Coordinated Modeling Center (CCMC) was established to enhance basic solar terrestrial research and to aid in the development of models for specifying and forecasting conditions in the space environment. In achieving this goal, CCMC has developed and provides a set of innovative tools varying from: Integrated Space Weather Analysis (iSWA) web -based dissemination system for space weather information, Runs-On-Request System providing access to unique collection of state-of-the-art solar and space physics models (unmatched anywhere in the world), Advanced Online Visualization and Analysis tools for more accurate interpretation of model results, Standard Data formats for Simulation Data downloads, and recently Mobile apps (iPhone/Android) to view space weather data anywhere to the scientific community. The number of runs requested and the number of resulting scientific publications and presentations from the research community has not only been an indication of the broad scientific usage of the CCMC and effective participation by space scientists and researchers, but also guarantees active collaboration and coordination amongst the space weather research community. Arising from the course of CCMC activities, CCMC also supports community-wide model validation challenges and research focus group projects for a broad range of programs such as the multi-agency National Space Weather Program, NSF's CEDAR (Coupling, Energetics and Dynamics of Atmospheric Regions), GEM (Geospace Environment Modeling) and Shine (Solar Heliospheric and INterplanetary Environment) programs. In addition to performing research and model development, CCMC also supports space science education by hosting summer students through local universities; through the provision of simulations in support of classroom programs such as Heliophysics Summer School (with student research contest) and CCMC Workshops; training next generation of junior scientists in space weather forecasting; and educating the general public about the importance and impacts of space weather effects. Although CCMC is organizationally comprised of United States federal agencies, CCMC services are open to members of the international science community and encourages interagency and international collaboration. In this poster, we provide an overview of using Community Coordinated Modeling Center (CCMC) tools and services to support worldwide space weather scientific communities and networks.;

Home health agency work environments and hospitalizations.

PubMed

Jarrín, Olga; Flynn, Linda; Lake, Eileen T; Aiken, Linda H

2014-10-01

An important goal of home health care is to assist patients to remain in community living arrangements. Yet home care often fails to prevent hospitalizations and to facilitate discharges to community living, thus putting patients at risk of additional health challenges and increasing care costs. To determine the relationship between home health agency work environments and agency-level rates of acute hospitalization and discharges to community living. Analysis of linked Center for Medicare and Medicaid Services Home Health Compare data and nurse survey data from 118 home health agencies. Robust regression models were used to estimate the effect of work environment ratings on between-agency variation in rates of acute hospitalization and community discharge. Home health agencies with good work environments had lower rates of acute hospitalizations and higher rates of patient discharges to community living arrangements compared with home health agencies with poor work environments. Improved work environments in home health agencies hold promise for optimizing patient outcomes and reducing use of expensive hospital and institutional care.

Community Coordinated Modeling Center Support of Science Needs for Integrated Data Environment

NASA Technical Reports Server (NTRS)

Kuznetsova, M. M.; Hesse, M.; Rastatter, L.; Maddox, M.

2007-01-01

Space science models are essential component of integrated data environment. Space science models are indispensable tools to facilitate effective use of wide variety of distributed scientific sources and to place multi-point local measurements into global context. The Community Coordinated Modeling Center (CCMC) hosts a set of state-of-the- art space science models ranging from the solar atmosphere to the Earth's upper atmosphere. The majority of models residing at CCMC are comprehensive computationally intensive physics-based models. To allow the models to be driven by data relevant to particular events, the CCMC developed an online data file generation tool that automatically downloads data from data providers and transforms them to required format. CCMC provides a tailored web-based visualization interface for the model output, as well as the capability to download simulations output in portable standard format with comprehensive metadata and user-friendly model output analysis library of routines that can be called from any C supporting language. CCMC is developing data interpolation tools that enable to present model output in the same format as observations. CCMC invite community comments and suggestions to better address science needs for the integrated data environment.

Emergent properties of climate-vegetation feedbacks in the North American Monsoon Macrosystem

NASA Astrophysics Data System (ADS)

Mathias, A.; Niu, G.; Zeng, X.

2012-12-01

The ability of ecosystems to adapt naturally to climate change and associated disturbances (e.g. wildfires, spread of invasive species) is greatly affected by the stability of feedback interactions between climate and vegetation. In order to study climate-vegetation interactions, such as CO2 and H2O exchange in the North American Monsoon System (NAMS), we plan to couple a community land surface model (NoahMP or CLM) used in regional climate models (WRF) with an individual based, spatially explicit vegetation model (ECOTONE). Individual based modeling makes it possible to link individual plant traits with properties of plant communities. Community properties, such as species composition and species distribution arise from dynamic interactions of individual plants with each other, and with their environment. Plants interact with each other through intra- and interspecific competition for resources (H2O, nitrogen), and the outcome of these interactions depends on the properties of the plant community and the environment itself. In turn, the environment is affected by the resulting change in community structure, which may have an impact on the drivers of climate change. First, we performed sensitivity tests of ECOTONE to assess its ability to reproduce vegetation distribution in the NAMS. We compared the land surface model and ECOTONE with regard to their capability to accurately simulate soil moisture, CO2 flux and above ground biomass. For evaluating the models we used the eddy-correlation sensible and latent heat fluxes, CO2 flux and observations of other climate and environmental variables (e.g. soil temperature and moisture) from the Santa Rita experimental range. The model intercomparison helped us understand the advantages and disadvantages of each model, providing us guidance for coupling the community land surface model (NoahMP or CLM) with ECOTONE.

The effect of resource history on the functioning of soil microbial communities is maintained across time

NASA Astrophysics Data System (ADS)

Keiser, A. D.; Strickland, M. S.; Fierer, N.; Bradford, M. A.

2011-02-01

Historical resource conditions appear to influence microbial community function. With time, historical influences might diminish as populations respond to the contemporary environment. Alternatively, they may persist given factors such as contrasting genetic potentials for adaptation to a new environment. Using experimental microcosms, we test competing hypotheses that function of distinct soil microbial communities in common environments (H1a) converge or (H1b) remain dissimilar over time. Using a 6 × 2 (soil community inoculum × litter environment) full-factorial design, we compare decomposition rates in experimental microcosms containing grass or hardwood litter environments. After 100 days, communities that develop are inoculated into fresh litters and decomposition followed for another 100 days. We repeat this for a third, 100-day period. In each successive, 100-day period, we find higher decomposition rates (i.e. functioning) suggesting communities function better when they have an experimental history of the contemporary environment. Despite these functional gains, differences in decomposition rates among initially distinct communities persist, supporting the hypothesis that dissimilarity is maintained across time. In contrast to function, community composition is more similar following a common, experimental history. We also find that "specialization" on one experimental environment incurs a cost, with loss of function in the alternate environment. For example, experimental history of a grass-litter environment reduced decomposition when communities were inoculated into a hardwood-litter environment. Our work demonstrates experimentally that despite expectations of fast growth rates, physiological flexibility and rapid evolution, initial functional differences between microbial communities are maintained across time. These findings question whether microbial dynamics can be omitted from models of ecosystem processes if we are to predict reliably global change effects on biogeochemical cycles.

The effect of resource history on the functioning of soil microbial communities is maintained across time

NASA Astrophysics Data System (ADS)

Keiser, A. D.; Strickland, M. S.; Fierer, N.; Bradford, M. A.

2011-06-01

Historical resource conditions appear to influence microbial community function. With time, historical influences might diminish as populations respond to the contemporary environment. Alternatively, they may persist given factors such as contrasting genetic potentials for adaptation to a new environment. Using experimental microcosms, we test competing hypotheses that function of distinct soil microbial communities in common environments (H1a) converge or (H1b) remain dissimilar over time. Using a 6 × 2 (soil community inoculum × litter environment) full-factorial design, we compare decomposition rates in experimental microcosms containing grass or hardwood litter environments. After 100 days, communities that develop are inoculated into fresh litters and decomposition followed for another 100 days. We repeat this for a third, 100-day period. In each successive, 100-day period, we find higher decomposition rates (i.e. functioning) suggesting communities function better when they have an experimental history of the contemporary environment. Despite these functional gains, differences in decomposition rates among initially distinct communities persist, supporting the hypothesis that dissimilarity is maintained across time. In contrast to function, community composition is more similar following a common, experimental history. We also find that "specialization" on one experimental environment incurs a cost, with loss of function in the alternate environment. For example, experimental history of a grass-litter environment reduced decomposition when communities were inoculated into a hardwood-litter environment. Our work demonstrates experimentally that despite expectations of fast growth rates, physiological flexibility and rapid evolution, initial functional differences between microbial communities are maintained across time. These findings question whether microbial dynamics can be omitted from models of ecosystem processes if we are to predict reliably global change effects on biogeochemical cycles.

Environmental Profile of a Community’s Health (EPOCH): An Ecometric Assessment of Measures of the Community Environment Based on Individual Perception

PubMed Central

Corsi, Daniel J.; Subramanian, S. V.; McKee, Martin; Li, Wei; Swaminathan, Sumathi; Lopez-Jaramillo, Patricio; Avezum, Alvaro; Lear, Scott A.; Dagenais, Gilles; Rangarajan, Sumathy; Teo, Koon; Yusuf, Salim; Chow, Clara K.

2012-01-01

Background Public health research has turned towards examining upstream, community-level determinants of cardiovascular disease risk factors. Objective measures of the environment, such as those derived from direct observation, and perception-based measures by residents have both been associated with health behaviours. However, current methods are generally limited to objective measures, often derived from administrative data, and few instruments have been evaluated for use in rural areas or in low-income countries. We evaluate the reliability of a quantitative tool designed to capture perceptions of community tobacco, nutrition, and social environments obtained from interviews with residents in communities in 5 countries. Methodology/ Principal Findings Thirteen measures of the community environment were developed from responses to questionnaire items from 2,360 individuals residing in 84 urban and rural communities in 5 countries (China, India, Brazil, Colombia, and Canada) in the Environmental Profile of a Community’s Health (EPOCH) study. Reliability and other properties of the community-level measures were assessed using multilevel models. High reliability (>0.80) was demonstrated for all community-level measures at the mean number of survey respondents per community (n = 28 respondents). Questionnaire items included in each scale were found to represent a common latent factor at the community level in multilevel factor analysis models. Conclusions/ Significance Reliable measures which represent aspects of communities potentially related to cardiovascular disease (CVD)/risk factors can be obtained using feasible sample sizes. The EPOCH instrument is suitable for use in different settings to explore upstream determinants of CVD/risk factors. PMID:22973446

Genome-based Modeling and Design of Metabolic Interactions in Microbial Communities

PubMed Central

Mahadevan, Radhakrishnan; Henson, Michael A.

2012-01-01

Biotechnology research is traditionally focused on individual microbial strains that are perceived to have the necessary metabolic functions, or the capability to have these functions introduced, to achieve a particular task. For many important applications, the development of such omnipotent microbes is an extremely challenging if not impossible task. By contrast, nature employs a radically different strategy based on synergistic combinations of different microbial species that collectively achieve the desired task. These natural communities have evolved to exploit the native metabolic capabilities of each species and are highly adaptive to changes in their environments. However, microbial communities have proven difficult to study due to a lack of suitable experimental and computational tools. With the advent of genome sequencing, omics technologies, bioinformatics and genome-scale modeling, researchers now have unprecedented capabilities to analyze and engineer the metabolism of microbial communities. The goal of this review is to summarize recent applications of genome-scale metabolic modeling to microbial communities. A brief introduction to lumped community models is used to motivate the need for genome-level descriptions of individual species and their metabolic interactions. The review of genome-scale models begins with static modeling approaches, which are appropriate for communities where the extracellular environment can be assumed to be time invariant or slowly varying. Dynamic extensions of the static modeling approach are described, and then applications of genome-scale models for design of synthetic microbial communities are reviewed. The review concludes with a summary of metagenomic tools for analyzing community metabolism and an outlook for future research. PMID:24688668

Genome-based Modeling and Design of Metabolic Interactions in Microbial Communities.

PubMed

Mahadevan, Radhakrishnan; Henson, Michael A

2012-01-01

Biotechnology research is traditionally focused on individual microbial strains that are perceived to have the necessary metabolic functions, or the capability to have these functions introduced, to achieve a particular task. For many important applications, the development of such omnipotent microbes is an extremely challenging if not impossible task. By contrast, nature employs a radically different strategy based on synergistic combinations of different microbial species that collectively achieve the desired task. These natural communities have evolved to exploit the native metabolic capabilities of each species and are highly adaptive to changes in their environments. However, microbial communities have proven difficult to study due to a lack of suitable experimental and computational tools. With the advent of genome sequencing, omics technologies, bioinformatics and genome-scale modeling, researchers now have unprecedented capabilities to analyze and engineer the metabolism of microbial communities. The goal of this review is to summarize recent applications of genome-scale metabolic modeling to microbial communities. A brief introduction to lumped community models is used to motivate the need for genome-level descriptions of individual species and their metabolic interactions. The review of genome-scale models begins with static modeling approaches, which are appropriate for communities where the extracellular environment can be assumed to be time invariant or slowly varying. Dynamic extensions of the static modeling approach are described, and then applications of genome-scale models for design of synthetic microbial communities are reviewed. The review concludes with a summary of metagenomic tools for analyzing community metabolism and an outlook for future research.

Making the Case for a Positive Approach to Improving Organizational Performance in Higher Education Institutions: The Community College Abundance Model

ERIC Educational Resources Information Center

Shults, Christopher

2008-01-01

Increasingly hostile and turbulent environments have rendered top-down, problem-focused management structures inadequate for competing in the ever-changing postsecondary knowledge industry. The community college abundance model (CCAM), a strengths-based approach to performance enhancement in community colleges, is presented as a viable…

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

Home Health Agency Work Environments and Hospitalizations

PubMed Central

Flynn, Linda; Lake, Eileen T.; Aiken, Linda H.

2014-01-01

Background: An important goal of home health care is to assist patients to remain in community living arrangements. Yet home care often fails to prevent hospitalizations and to facilitate discharges to community living, thus putting patients at risk of additional health challenges and increasing care costs. Objectives: To determine the relationship between home health agency work environments and agency-level rates of acute hospitalization and discharges to community living. Methods and Design: Analysis of linked Center for Medicare and Medicaid Services Home Health Compare data and nurse survey data from 118 home health agencies. Robust regression models were used to estimate the effect of work environment ratings on between-agency variation in rates of acute hospitalization and community discharge. Results: Home health agencies with good work environments had lower rates of acute hospitalizations and higher rates of patient discharges to community living arrangements compared with home health agencies with poor work environments. Conclusion: Improved work environments in home health agencies hold promise for optimizing patient outcomes and reducing use of expensive hospital and institutional care. PMID:25215647

Reducing cancer risk in rural communities through supermarket interventions.

PubMed

McCool, Barent N; Lyford, Conrad P; Hensarling, Natalie; Pence, Barbara; McCool, Audrey C; Thapa, Janani; Belasco, Eric; Carter, Tyra M

2013-09-01

Cancer risk is high, and prevention efforts are often minimal in rural communities. Feasible means of encouraging lifestyles that will reduce cancer risk for residents of rural communities are needed. This project developed and tested a model that could be feasibly adopted by rural communities to reduce cancer risk. This model focuses on incorporating multi-faceted cancer risk education in the local supermarket. As the supermarket functions both as the primary food source and an information source in small rural communities, the supermarket focus encourages the development of a community environment supportive of lifestyles that should reduce residents' risk for cancer. The actions taken to implement the model and the challenges that communities would have in implementing the model are identified.

Species sorting and patch dynamics in harlequin metacommunities affect the relative importance of environment and space.

PubMed

Leibold, Mathew A; Loeuille, Nicolas

2015-12-01

Metacommunity theory indicates that variation in local community structure can be partitioned into components including those related to local environmental conditions vs. spatial effects and that these can be quantified using statistical methods based on variation partitioning. It has been hypothesized that joint associations of community composition with environment and space could be due to patch dynamics involving colonization-extinction processes in environmentally heterogeneous landscapes but this has yet to be theoretically shown. We develop a two-patch, type-two, species competition model in such a "harlequin" landscape (where different patches have different environments) to evaluate how composition is related to environmental and spatial effects as a function of background extinction rate. Using spatially implicit analytical models, we find that the environmental association of community composition declines with extinction rate as expected. Using spatially explicit simulation models, we further find that there is an increase in the spatial structure with extinction due to spatial patterning into clusters that are not related to environmental conditions but that this increase is limited. Natural metacommunities often show both environment and spatial determination even under conditions of relatively high isolation and these could be more easily explained by our model than alternative metacommunity models.

Measurement and Model Linkages in Assessing School Environments.

ERIC Educational Resources Information Center

Schmitt, Neal

Detailed methodology used to evaluate a causal model of school environment is presented in this report. The model depicts societal features that influence school district values and organizational characteristics, which in turn influence school operations and personnel attitudes and values. These school variables affect school community members'…

A Practical Approach to Enhancing a Healthy School Community by Adopting the WSCC Model

ERIC Educational Resources Information Center

Moyer, Matthew T.; Foley, John T.; Hodges, Bonni C.; Pace, Jill

2016-01-01

The introduction of the Whole School, Whole Community, Whole Child (WSCC) model has challenged professionals working in school health to inspire school districts to embrace WSCC's philosophical and practical components. Adopting the WSCC model to foster wellness priorities in school districts encourages healthy people and healthy environments to…

When Disney Meets the Research Park: Metaphors and Models for Engineering an Online Learning Community of Tomorrow

ERIC Educational Resources Information Center

Chenail, Ronald J.

2004-01-01

It is suggested that educators look to an environment in which qualitative research can be learned in more flexible and creative ways--an online learning community known as the Research Park Online (RPO). This model, based upon Walt Disney's 1966 plan for his "Experimental Prototype Community of Tomorrow" (EPCOT) and university cooperative…

Whole School Improvement and Restructuring as Prevention and Promotion: Lessons from STEP and the Project on High Performance Learning Communities.

ERIC Educational Resources Information Center

Felner, Robert D.; Favazza, Antoinette; Shim, Minsuk; Brand, Stephen; Gu, Kenneth; Noonan, Nancy

2001-01-01

Describes the School Transitional Environment Project and its successor, the Project on High Performance Learning Communities, that have contributed to building a model for school improvement called the High Performance Learning Communities. The model seeks to build the principles of prevention into whole school change. Presents findings from…

Modeling species-abundance relationships in multi-species collections

USGS Publications Warehouse

Peng, S.; Yin, Z.; Ren, H.; Guo, Q.

2003-01-01

Species-abundance relationship is one of the most fundamental aspects of community ecology. Since Motomura first developed the geometric series model to describe the feature of community structure, ecologists have developed many other models to fit the species-abundance data in communities. These models can be classified into empirical and theoretical ones, including (1) statistical models, i.e., negative binomial distribution (and its extension), log-series distribution (and its extension), geometric distribution, lognormal distribution, Poisson-lognormal distribution, (2) niche models, i.e., geometric series, broken stick, overlapping niche, particulate niche, random assortment, dominance pre-emption, dominance decay, random fraction, weighted random fraction, composite niche, Zipf or Zipf-Mandelbrot model, and (3) dynamic models describing community dynamics and restrictive function of environment on community. These models have different characteristics and fit species-abundance data in various communities or collections. Among them, log-series distribution, lognormal distribution, geometric series, and broken stick model have been most widely used.

Archeological Survey of Undeveloped Portions of Eaker Air Force Base, Mississippi County, Arkansas

DTIC Science & Technology

1991-01-25

successional stage plant communities. Research using soils and plant communities to model prehistoric occupation in northeast Arkansas (Dekin et al. 1978; Morse...major floods) since they were laid down. Levee/Swamp Ecotone This modeled macrobiotic community is what Lewis (1974:24-25) has called the Sweetgum-Elm...this modeled stratum are the different environments that were under water prior to drainage, as defined by the soils deposited in slackwater conditions

Exploring the social dimension of sandy beaches through predictive modelling.

PubMed

Domínguez-Tejo, Elianny; Metternicht, Graciela; Johnston, Emma L; Hedge, Luke

2018-05-15

Sandy beaches are unique ecosystems increasingly exposed to human-induced pressures. Consistent with emerging frameworks promoting this holistic approach towards beach management, is the need to improve the integration of social data into management practices. This paper aims to increase understanding of links between demographics and community values and preferred beach activities, as key components of the social dimension of the beach environment. A mixed method approach was adopted to elucidate users' opinions on beach preferences and community values through a survey carried out in Manly Local Government Area in Sydney Harbour, Australia. A proposed conceptual model was used to frame demographic models (using age, education, employment, household income and residence status) as predictors of these two community responses. All possible regression-model combinations were compared using Akaike's information criterion. Best models were then used to calculate quantitative likelihoods of the responses, presented as heat maps. Findings concur with international research indicating the relevance of social and restful activities as important social links between the community and the beach environment. Participant's age was a significant variable in the four predictive models. The use of predictive models informed by demographics could potentially increase our understanding of interactions between the social and ecological systems of the beach environment, as a prelude to integrated beach management approaches. The research represents a practical demonstration of how demographic predictive models could support proactive approaches to beach management. Copyright © 2018 Elsevier Ltd. All rights reserved.

Development of community based model of Tawanchai Center: sufficiency economy principles for community Development an applicability at Bankhambong Community, Sa-ard Sub-district, Nampong District, Khon Kaen Province, Thailand.

PubMed

Kotrmaneetaweetong, Unchana; Choopen, Hhakuan; Chowchuen, Bowornsilp

2012-11-01

The objectives of the present study are 1) to study the application of sufficiency economy philosophy in community development as a model for future application of community health care program of Tawanchai Center, 2) study the administrative model for self sufficiency economy community in Bankhambong Community, Sa-ard Sub-district, Nampong District, Khon Kaen Province. The integrated study model included qualitative research by collecting data from documents, textbook, article, report, theory concept, researches and interviewing of relevant persons and the quantitative research by collecting data from questionnaires. The findings of study included objectives for development model of sufficiency economy for understanding of people, and use the philosophy of sufficiency economy model which compose of decrease expenditure, increase income activities, saving activities, learning activities and preservation of environment and sustainable natural resources activities. Decrease in expenditure activities included household gardening, and no allurements leading to ruin. Increase in income activities included supplement occupation and appropriate use of technology. Saving activities included creating saving group in household and community level. Learning activities included community use of local wisdom, and household learnt philosophy of sufficiency economy in daily living. Preservation of environment and sustainable natural resources activities included the use of sustainable raw materials in occupation. The generosity of one another activities included helping each other and solving problems for the poor and disable persons. The community development at in Bankhambong Community, Sa-ard Sub-district, Nampong District, Khon Kaen Province followed all of the above scope and guidelines and is the model for application of sufficiency community philosophy. We recommended method for successful implementation, including the starting from group process with capability of learning to create strong and adequate knowledge to apply sufficiency economy model and cover health care.

Plant resource history effects on contemporary microbial processes

NASA Astrophysics Data System (ADS)

Bradford, Mark

2010-05-01

Background/Questions/Methods Soil microbial communities play a pivotal role in providing ecosystem services, given that they are key drivers of biogeochemical processes such as carbon and nitrogen cycling. As species-rich communities, made-up of populations with short generation times, it is commonly assumed that there is a high degree of functional redundancy within soil communities with respect to broad-physiological processes, such as organic carbon decomposition. This assumption underlies the majority of terrestrial ecosystem models, where relationships between processes and controlling factors are parameterized using statistical relationships generated from measurements across space. However, microbial communities display biogeographic patterns, even at fine scales and it is possible that these patterns extend to influence their function. I first present experiments that combine common garden and reciprocal transplant approaches to test whether microbial communities sourced from distinct habitats across the contiguous United States exhibit functional similarity (i.e. redundancy) or dissimilarity in common environments. The environments are experimental microcosms composed of leaf litters differing markedly in recalcitrance. Following inoculation with the microbial communities, decomposition rates are followed across 300 days. Next, using a similar experimental microcosm design, I present experiments that test whether a common resource history might cause communities, which are initially dissimilar, to converge functionally. Distinct microbial communities are introduced into a fresh litter environment every 100 days for 300 days total. Finally, I present an experiment to test whether functional convergence (either partial or complete) is associated with a reduction in function in alternate environments (essentially a functional ‘trade-off'). In this last experiment decomposition rates are measured for 100 days in alternate environments following 300 days of successive exposure to a single litter type. Results/Conclusions I show in the first experiment that rates of carbon dioxide production from litter decomposition are strongly dependent on the microbial inoculum, with differences in the microbial community alone accounting for substantial (up to 85%) variation in total carbon mineralized. Communities that share a common history with a given foliar litter exhibit higher decomposition rates when compared to communities foreign to that habitat, suggestive of local adaptation. In the second experiment, decomposition rates (measured as cumulative carbon dioxide values per 100-day run) converge partially in the second 100-day run, and cumulative values for all six inocula increase toward the highest values observed in the initial 100-day run. Convergence continues but at a reduced rate in the third 100-day run; yet increases in function appear to asymptote. The increasing similarity in cumulative values between inocula, observed in the successive 100-day runs, is consistent with partial functional convergence of communities exposed to a common environment. In the final experiment, microbial inocula crossed to an alternate environment (e.g. those communities maintained in a grass environment then inoculated into a hardwood litter environment) results in cumulative values in the alternate environments that are approximately half those observed for communities inoculated into the same environment. Collectively, our results suggest that the implicit assumption in ecosystem models (i.e. microbial communities in the same environment are functionally equivalent) is incorrect. The increasing similarity across time in function in common environments of inocula sourced from different resource habitats shows the potential for function to converge. Yet this convergence is only partial and is associated with "apparent' trade-offs in the ability to decompose substrates from the original environments from which the inocula were sourced. To predict accurately how biogeochemical processes will respond to global change may require consideration of the community composition and/or adaptation of microbial communities to past resource environments and the consequences of their (partial) adaptation to new ones.

Application Architecture of Avian Influenza Research Collaboration Network in Korea e-Science

NASA Astrophysics Data System (ADS)

Choi, Hoon; Lee, Junehawk

In the pursuit of globalization of the AI e-Science environment, KISTI is fostering to extend the AI research community to the AI research institutes of neighboring countries and to share the AI e-Science environment with them in the near future. In this paper we introduce the application architecture of AI research collaboration network (AIRCoN). AIRCoN is a global e-Science environment for AI research conducted by KISTI. It consists of AI virus sequence information sharing system for sufficing data requirement of research community, integrated analysis environment for analyzing the mutation pattern of AI viruses and their risks, epidemic modeling and simulation environment for establishing national effective readiness strategy against AI pandemics, and knowledge portal for sharing expertise of epidemic study and unpublished research results with community members.

In-Drift Microbial Communities

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

D. Jolley

2000-11-09

As directed by written work direction (CRWMS M and O 1999f), Performance Assessment (PA) developed a model for microbial communities in the engineered barrier system (EBS) as documented here. The purpose of this model is to assist Performance Assessment and its Engineered Barrier Performance Section in modeling the geochemical environment within a potential repository drift for TSPA-SR/LA, thus allowing PA to provide a more detailed and complete near-field geochemical model and to answer the key technical issues (KTI) raised in the NRC Issue Resolution Status Report (IRSR) for the Evolution of the Near Field Environment (NFE) Revision 2 (NRC 1999).more » This model and its predecessor (the in-drift microbial communities model as documented in Chapter 4 of the TSPA-VA Technical Basis Document, CRWMS M and O 1998a) was developed to respond to the applicable KTIs. Additionally, because of the previous development of the in-drift microbial communities model as documented in Chapter 4 of the TSPA-VA Technical Basis Document (CRWMS M and O 1998a), the M and O was effectively able to resolve a previous KTI concern regarding the effects of microbial processes on seepage and flow (NRC 1998). This document supercedes the in-drift microbial communities model as documented in Chapter 4 of the TSPA-VA Technical Basis Document (CRWMS M and O 1998a). This document provides the conceptual framework of the revised in-drift microbial communities model to be used in subsequent performance assessment (PA) analyses.« less

Real, Relevant, Meaningful Learning: Community-Based Education in Native Communities.

ERIC Educational Resources Information Center

Enos, Anya Dozier

The Community-Based Education Model (CBEM) at Santa Fe Indian School (SFIS) in New Mexico was studied to determine the elements that contribute to its success and that may be replicated in other community education projects. The CBEM engages students and tribal communities in issues related to their environment, natural resources, and health in an…

Testing the functional significance of microbial community composition.

Treesearch

Michael S. Strickland; Christian Lauber; Noah Fierer; Mark A. Bradford

2009-01-01

A critical assumption underlying terrestrial ecosystem models is that soil microbial communities, when placed in a common environment, will function in an identical manner regardless of the composition...

Updating sea spray aerosol emissions in the Community Multiscale Air Quality (CMAQ) model

EPA Science Inventory

Sea spray aerosols (SSA) impact the particle mass concentration and gas-particle partitioning in coastal environments, with implications for human and ecosystem health. In this study, the Community Multiscale Air Quality (CMAQ) model is updated to enhance fine mode SSA emissions,...

Shared environments: a multilevel analysis of community context and child nutritional status in Bangladesh.

PubMed

Corsi, Daniel J; Chow, Clara K; Lear, Scott A; Rahman, M Omar; Subramanian, S V; Teo, Koon K

2011-06-01

The goal of the present study was to examine the influence of community environment on the nutritional status (weight-for-age and height-for-age) of children (aged 0-59 months) in Bangladesh. In addition, we tested the association between specific characteristics of community environments and child nutritional status. Cross-sectional survey. The data are from the nationally representative 2004 Bangladesh Demographic and Health Survey. Respondents were ever-married women (aged 15-49 years) and their children (n 5731), residing in 361 communities. Child nutritional outcomes are physical measurements of weight-for-age and height-for-age in sd units. We considered the following attributes of community environments potentially related to child nutrition: (i) community water and sanitation infrastructure; (ii) availability of community health and education services; (iii) community employment and social participation; and (iv) education level of the community. Multilevel regression analysis showed that the spatial distribution of maternal and child covariates did not entirely explain the between-community variation in child nutritional status. The education level of the community emerged as the strongest community-level predictor of child height-for-age (highest v. lowest tertile, β = 0.18 (SE 0.07)) and weight-for-age (highest v. lowest tertile, β = 0.21 (SE 0.06)). In the height-for-age model, community employment and social participation also emerged as being statistically significant (highest v. lowest tertile, β = 0.13 (SE = 0.06)). The community environment influences child nutrition in Bangladesh, and maternal- and child-level covariates may fail to capture the entire influence of communities. Interventions to reduce child undernutrition in developing countries should take into consideration the wider community context.

Space, Atmospheric, and Terrestrial Radiation Environments

NASA Technical Reports Server (NTRS)

Barth, Janet L.; Dyer, C. S.; Stassinopoulos, E. G.

2003-01-01

The progress on developing models of the radiation environment since the 1960s is reviewed with emphasis on models that can be applied to predicting the performance of microelectronics used in spacecraft and instruments. Space, atmospheric, and ground environments are included. It is shown that models must be adapted continually to account for increased understanding of the dynamics of the radiation environment and the changes in microelectronics technology. The IEEE Nuclear and Space Radiation Effects Conference is a vital forum to report model progress to the radiation effects research community.

Liberty High School Transition Project: Model Process for Assimilating School, Community, Business, Government and Service Groups of the Least Restrictive Environment for Nondisabled and Disabled.

ERIC Educational Resources Information Center

Grimes, Michael K.

The panel presentation traces the development of and describes the operation of a Brentwood (California) project to prepare approximately 75 severely disabled individuals, ages 12-22, to function in the least restrictive recreation/leisure, vocational, and general community environments. Transition Steering Committee developed such project…

Social Community: A Mechanism to Explain the Success of STEM Minority Mentoring Programs

ERIC Educational Resources Information Center

Mondisa, Joi-Lynn; McComb, Sara A.

2015-01-01

Social community may be a mechanism that explains the success of minority mentoring programs. We define a social community as an environment where like-minded individuals engage in dynamic, multidirectional interactions that facilitate social support. In this conceptual article, we propose a social community model for science, technology,…

Linking microbial community structure to function in representative simulated systems.

PubMed

Marcus, Ian M; Wilder, Hailey A; Quazi, Shanin J; Walker, Sharon L

2013-04-01

Pathogenic bacteria are generally studied as a single strain under ideal growing conditions, although these conditions are not the norm in the environments in which pathogens typically proliferate. In this investigation, a representative microbial community along with Escherichia coli O157:H7, a model pathogen, was studied in three environments in which such a pathogen could be found: a human colon, a septic tank, and groundwater. Each of these systems was built in the lab in order to retain the physical/chemical and microbial complexity of the environments while maintaining control of the feed into the models. The microbial community in the colon was found to have a high percentage of bacteriodetes and firmicutes, while the septic tank and groundwater systems were composed mostly of proteobacteria. The introduction of E. coli O157:H7 into the simulated systems elicited a shift in the structures and phenotypic cell characteristics of the microbial communities. The fate and transport of the microbial community with E. coli O157:H7 were found to be significantly different from those of E. coli O157:H7 studied as a single isolate, suggesting that the behavior of the organism in the environment was different from that previously conceived. The findings in this study clearly suggest that to gain insight into the fate of pathogens, cells should be grown and analyzed under conditions simulating those of the environment in which the pathogens are present.

Linking Microbial Community Structure to Function in Representative Simulated Systems

PubMed Central

Marcus, Ian M.; Wilder, Hailey A.; Quazi, Shanin J.

2013-01-01

Pathogenic bacteria are generally studied as a single strain under ideal growing conditions, although these conditions are not the norm in the environments in which pathogens typically proliferate. In this investigation, a representative microbial community along with Escherichia coli O157:H7, a model pathogen, was studied in three environments in which such a pathogen could be found: a human colon, a septic tank, and groundwater. Each of these systems was built in the lab in order to retain the physical/chemical and microbial complexity of the environments while maintaining control of the feed into the models. The microbial community in the colon was found to have a high percentage of bacteriodetes and firmicutes, while the septic tank and groundwater systems were composed mostly of proteobacteria. The introduction of E. coli O157:H7 into the simulated systems elicited a shift in the structures and phenotypic cell characteristics of the microbial communities. The fate and transport of the microbial community with E. coli O157:H7 were found to be significantly different from those of E. coli O157:H7 studied as a single isolate, suggesting that the behavior of the organism in the environment was different from that previously conceived. The findings in this study clearly suggest that to gain insight into the fate of pathogens, cells should be grown and analyzed under conditions simulating those of the environment in which the pathogens are present. PMID:23396331

Community-based medical education: is success a result of meaningful personal learning experiences?

PubMed

Kelly, Len; Walters, Lucie; Rosenthal, David

2014-01-01

Community-based medical education (CBME) is the delivery of medical education in a specific social context. Learners become a part of social and medical communities where their learning occurs. Longitudinal integrated clerkships (LICs) are year-long community-based placements where the curriculum and clinical experience is typically delivered by primary care physicians. These programs have proven to be robust learning environments, where learners develop strong communication skills and excellent clinical reasoning. To date, no learning model has been offered to describe CBME. The characteristics of CBME are explored by the authors who suggest that the social and professional context provided in small communities enhances medical education. The authors postulate that meaningfulness is engendered by the authentic context, which develops over time. These relationships with preceptors, patients and the community provide meaningfulness, which in turn enhances learning. The authors develop a novel learning model. They propose that the context-rich environment of CBME allows for meaningful relationships and experiences for students and that such meaningfulness enhances learning.

Stochastic Sznajd Model in Open Community

NASA Astrophysics Data System (ADS)

Emmert-Streib, Frank

We extend the Sznajd Model for opinion formation by introducing persuasion probabilities for opinions. Moreover, we couple the system to an environment which mimics the application of the opinion. This results in a feedback, representing single-state opinion transitions in opposite to the two-state opinion transitions for persuading other people. We call this model opinion formation in an open community (OFOC). It can be seen as a stochastic extension of the Sznajd model for an open community, because it allows for a special choice of parameters to recover the original Sznajd model. We demonstrate the effect of feedback in the OFOC model by applying it to a scenario in which, e.g., opinion B is worse then opinion A but easier explained to other people. Casually formulated we analyzed the question, how much better one has to be, in order to persuade other people, provided the opinion is worse. Our results reveal a linear relation between the transition probability for opinion B and the influence of the environment on B.

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

Allison, Steven D.

The role of specific micro-organisms in the carbon cycle, and their responses to environmental change, are unknown in most ecosystems. This knowledge gap limits scientists’ ability to predict how important ecosystem processes, like soil carbon storage and loss, will change with climate and other environmental factors. The investigators addressed this knowledge gap by transplanting microbial communities from different environments into new environments and measuring the response of community composition and carbon cycling over time. Using state-of-the-art sequencing techniques, computational tools, and nanotechnology, the investigators showed that microbial communities on decomposing plant material shift dramatically with natural and experimentally-imposed drought. Microbialmore » communities also shifted in response to added nitrogen, but the effects were smaller. These changes had implications for carbon cycling, with lower rates of carbon loss under drought conditions, and changes in the efficiency of decomposition with nitrogen addition. Even when transplanted into the same conditions, microbial communities from different environments remained distinct in composition and functioning for up to one year. Changes in functioning were related to differences in enzyme gene content across different microbial groups. Computational approaches developed for this project allowed the conclusions to be tested more broadly in other ecosystems, and new computer models will facilitate the prediction of microbial traits and functioning across environments. The data and models resulting from this project benefit the public by improving the ability to predict how microbial communities and carbon cycling functions respond to climate change, nutrient enrichment, and other large-scale environmental changes.« less

Limiting similarity and functional diversity along environmental gradients

USGS Publications Warehouse

Schwilk, D.W.; Ackerly, D.D.

2005-01-01

Recent developments in community models emphasize the importance of incorporating stochastic processes (e.g. ecological drift) in models of niche-structured community assembly. We constructed a finite, spatially explicit, lottery model to simulate the distribution of species in a one-dimensional landscape with an underlying gradient in environmental conditions. Our framework combines the potential for ecological drift with environmentally-mediated competition for space in a heterogeneous environment. We examined the influence of niche breadth, dispersal distances, community size (total number of individuals) and the breadth of the environmental gradient on levels of species and functional trait diversity (i.e. differences in niche optima). Three novel results emerge from this model: (1) niche differences between adjacent species (e.g. limiting similarity) increase in smaller communities, because of the interaction of competitive effects and finite population sizes; (2) immigration from a regional species pool, stochasticity and niche-assembly generate a bimodal distribution of species residence times ('transient' and 'resident') under a heterogeneous environment; and (3) the magnitude of environmental heterogeneity has a U-shaped effect on diversity, because of shifts in species richness of resident vs. transient species. These predictions illustrate the potential importance of stochastic (although not necessarily neutral) processes in community assembly. ??2005 Blackwell Publishing Ltd/CNRS.

Strong species-environment feedback shapes plant community assembly along environmental gradients.

PubMed

Jiang, Jiang; Deangelis, Donald L

2013-10-01

An aim of community ecology is to understand the patterns of competing species assembly along environmental gradients. All species interact with their environments. However, theories of community assembly have seldom taken into account the effects of species that are able to engineer the environment. In this modeling study, we integrate the species' engineering trait together with processes of immigration and local dispersal into a theory of community assembly. We quantify the species' engineering trait as the degree to which it can move the local environment away from its baseline state towards the optimum state of the species (species-environment feedback). We find that, in the presence of immigration from a regional pool, strong feedback can increase local species richness; however, in the absence of continual immigration, species richness is a declining function of the strength of species-environment feedback. This shift from a negative effect of engineering strength on species richness to a positive effect, as immigration rate increases, is clearer when there is spatial heterogeneity in the form of a gradient in environmental conditions than when the environment is homogeneous or it is randomly heterogeneous. Increasing the scale over which local dispersal occurs can facilitate species richness when there is no species-environment feedback or when the feedback is weak. However, increases in the spatial scale of dispersal can reduce species richness when the species-environment feedback is strong. These results expand the theoretical basis for understanding the effects of the strength of species-environment feedback on community assembly.

Strong species-environment feedback shapes plant community assembly along environmental gradients

USGS Publications Warehouse

Jiang, Jiang; DeAngelis, Donald L.

2013-01-01

An aim of community ecology is to understand the patterns of competing species assembly along environmental gradients. All species interact with their environments. However, theories of community assembly have seldom taken into account the effects of species that are able to engineer the environment. In this modeling study, we integrate the species' engineering trait together with processes of immigration and local dispersal into a theory of community assembly. We quantify the species' engineering trait as the degree to which it can move the local environment away from its baseline state towards the optimum state of the species (species-environment feedback). We find that, in the presence of immigration from a regional pool, strong feedback can increase local species richness; however, in the absence of continual immigration, species richness is a declining function of the strength of species-environment feedback. This shift from a negative effect of engineering strength on species richness to a positive effect, as immigration rate increases, is clearer when there is spatial heterogeneity in the form of a gradient in environmental conditions than when the environment is homogeneous or it is randomly heterogeneous. Increasing the scale over which local dispersal occurs can facilitate species richness when there is no species-environment feedback or when the feedback is weak. However, increases in the spatial scale of dispersal can reduce species richness when the species-environment feedback is strong. These results expand the theoretical basis for understanding the effects of the strength of species-environment feedback on community assembly.

Environmental Scanning for Occupational Education. A Facilitator's Guide. A Model for Environmental Scanning to Systematically Assess Future Occupational Education and Training Needs of a Michigan Community College Service Area.

ERIC Educational Resources Information Center

Kellogg Foundation, Battle Creek, MI.

This manual is designed to facilitate the planning and implementation of an environmental scanning project in Michigan's community colleges. (Environmental scanning is a systematic process for gathering and analyzing information about the external environment and relating it to an organization's internal environment.) This facilitator's guide is…

A Real Community Bridge: Informing Community-Based Learning through a Model of Participatory Public Art

ERIC Educational Resources Information Center

Stephens, Pamela Geiger

2006-01-01

Community-based learning has the power to encourage and sustain the intellectual curiosity of learners. By most accounts, community-based learning is a process that creates a collaborative environment of scholarship that holds individual differences, as well as similarities, in high esteem. It is a process, as the phrase suggests, that extends…

Integrating human and natural systems in community psychology: an ecological model of stewardship behavior.

PubMed

Moskell, Christine; Allred, Shorna Broussard

2013-03-01

Community psychology (CP) research on the natural environment lacks a theoretical framework for analyzing the complex relationship between human systems and the natural world. We introduce other academic fields concerned with the interactions between humans and the natural environment, including environmental sociology and coupled human and natural systems. To demonstrate how the natural environment can be included within CP's ecological framework, we propose an ecological model of urban forest stewardship action. Although ecological models of behavior in CP have previously modeled health behaviors, we argue that these frameworks are also applicable to actions that positively influence the natural environment. We chose the environmental action of urban forest stewardship because cities across the United States are planting millions of trees and increased citizen participation in urban tree planting and stewardship will be needed to sustain the benefits provided by urban trees. We used the framework of an ecological model of behavior to illustrate multiple levels of factors that may promote or hinder involvement in urban forest stewardship actions. The implications of our model for the development of multi-level ecological interventions to foster stewardship actions are discussed, as well as directions for future research to further test and refine the model.

A GIS based model for active transportation in the built environment

NASA Astrophysics Data System (ADS)

Addison, Veronica Marie Medina

Obesity and physical inactivity have been major risk factors associated with morbidity and mortality in the United States. Recently, obesity and physical inactivity have been on the rise. Determining connections between this trend and the environment could lead to a built environment that is conducive to healthy, active people. In my previous research, I have studied the built environment and its connection to health. For my dissertation, I build on this fundamental work by incorporating energy, specifically by studying the built environment and its connection to energy expenditures. This research models the built environment and combines this with human energy expenditure information in order to provide a planning tool that allows an individual to actively address health issues, particularly obesity. This research focuses on the design and development of an internet based model that enables individuals to understand their own energy expenditures in relation to their environment. The model will work to find the energy consumed by an individual in their navigation through campus. This is accomplished by using Geographic Information Systems (GIS) to model the campus and using it as the basis for calculating energy expended through active transportation. Using GIS to create the model allows for the incorporation of built environment factors such as elevation and energy expenditures in relation to physical exertion rate. This research will contribute to the long-term solution to the obesity epidemic by creating healthy communities through smart growth and sustainable design. This research provides users with a tool to use in their current environment for their personal and community well being.

Facilitating Professional Learning Communities among Higher Education Faculty: The Walden Junto Model

ERIC Educational Resources Information Center

Bedford, Laurie A.; Rossow, Katie A.

2017-01-01

Virtual Professional Learning Communities (PLC) have become an innovative way to meet the professional development needs of faculty in the online learning environment. Walden University's model for PLCs, the Walden Junto, uses a combination of synchronous and asynchronous online strategies and is based on a philosophy that embraces the faculty…

Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation.

PubMed

Fitzpatrick, Matthew C; Keller, Stephen R

2015-01-01

Local adaptation is a central feature of most species occupying spatially heterogeneous environments, and may factor critically in responses to environmental change. However, most efforts to model the response of species to climate change ignore intraspecific variation due to local adaptation. Here, we present a new perspective on spatial modelling of organism-environment relationships that combines genomic data and community-level modelling to develop scenarios regarding the geographic distribution of genomic variation in response to environmental change. Rather than modelling species within communities, we use these techniques to model large numbers of loci across genomes. Using balsam poplar (Populus balsamifera) as a case study, we demonstrate how our framework can accommodate nonlinear responses of loci to environmental gradients. We identify a threshold response to temperature in the circadian clock gene GIGANTEA-5 (GI5), suggesting that this gene has experienced strong local adaptation to temperature. We also demonstrate how these methods can map ecological adaptation from genomic data, including the identification of predicted differences in the genetic composition of populations under current and future climates. Community-level modelling of genomic variation represents an important advance in landscape genomics and spatial modelling of biodiversity that moves beyond species-level assessments of climate change vulnerability. © 2014 John Wiley & Sons Ltd/CNRS.

An Empirical Verification of a-priori Learning Models on Mailing Archives in the Context of Online Learning Activities of Participants in Free\\Libre Open Source Software (FLOSS) Communities

ERIC Educational Resources Information Center

Mukala, Patrick; Cerone, Antonio; Turini, Franco

2017-01-01

Free\\Libre Open Source Software (FLOSS) environments are increasingly dubbed as learning environments where practical software engineering skills can be acquired. Numerous studies have extensively investigated how knowledge is acquired in these environments through a collaborative learning model that define a learning process. Such a learning…

Can we develop general predictive models of mycorrhizal fungal community-environment relationships?

Treesearch

Erik A. Lilleskov; Jeri L. Parrent

2007-01-01

Our understanding of the controls on mycorrhizal fungal species distribution and community organization is in its early childhood - especially when compared with that of the more mature fields of plant and animal community ecology and biogeography - largely because of the historical difficulty of gathering species distribution information.

Connecting Organizational Environments with the Instructional Technology Practices of Community College Faculty

ERIC Educational Resources Information Center

Mars, Matthew M.; Ginter, Mary Beth

2007-01-01

The ongoing integration of instructional technology within community colleges has occurred for a variety of reasons. First, community colleges have implemented technology-based models to make operations more efficient and cost-effective. Second, instructional technology has been used to expand student markets through alternative course-delivery…

A Community Landscape Model of Pro-Environmental Behavior: The Effects of Landscape and Community Interaction on Residential Energy Behaviors in Two Pennsylvania Towns

NASA Astrophysics Data System (ADS)

Mainzer, Stephen P.

We are using more energy every year. Between 2001 and 2011, Pennsylvania residential electricity sales increased by two and a half times the number of new customers, accounting for almost one third of the state's total electricity consumption. Our ability to meet demand by acquiring new energy sources faces several challenges. Confusion surrounds the physical and economic accessibility of remaining fossil fuel sources. Immense land use requirements and subsequent environmental impacts challenge a total shift to renewable energy sources. The laws of thermodynamics limit the potential for new technology to efficiently convert raw energy to consumable sources. As a result, any rational strategy to meet future energy demands must involve conservation. Conservation is a pro-environmental behavior, an act intended to benefit the environment surrounding a person. I posit that a transdisciplinary model, the community landscape model of the pro-environmental behavior, unifies the conceptually analogous - yet disparate - fields of landscape, community, and behavior towards explaining residential energy conservation actions. Specifically, the study attempted to describe links between the physical environment, social environment, and conservation behaviors through a mixed-method framework. Two Pennsylvania townships - Spring and East Buffalo townships - were selected from an analysis of housing, electricity consumption, and land cover trends. Key informants from both townships informed the design of a survey instrument that captured the utility consumption, residential conservation actions, energy and environmental values, types and levels of community engagement, perceived barriers, and socio-demographic information from 107 randomly selected households. A mixed-method analysis produced evidence that place-based values and intention to participate in the community were significantly linked to lower utility consumption in households. People who cared deeply about their town were both more likely to attend community events and use less energy in their home. Other less significant examples of influences from the physical and social environments are presented in chapters 4 and 5.

Community Health Environment Scan Survey (CHESS): a novel tool that captures the impact of the built environment on lifestyle factors.

PubMed

Wong, Fiona; Stevens, Denise; O'Connor-Duffany, Kathleen; Siegel, Karen; Gao, Yue

2011-03-07

Novel efforts and accompanying tools are needed to tackle the global burden of chronic disease. This paper presents an approach to describe the environments in which people live, work, and play. Community Health Environment Scan Survey (CHESS) is an empirical assessment tool that measures the availability and accessibility, of healthy lifestyle options lifestyle options. CHESS reveals existing community assets as well as opportunities for change, shaping community intervention planning efforts by focusing on community-relevant opportunities to address the three key risk factors for chronic disease (i.e. unhealthy diet, physical inactivity, and tobacco use). The CHESS tool was developed following a review of existing auditing tools and in consultation with experts. It is based on the social-ecological model and is adaptable to diverse settings in developed and developing countries throughout the world. For illustrative purposes, baseline results from the Community Interventions for Health (CIH) Mexico site are used, where the CHESS tool assessed 583 food stores and 168 restaurants. Comparisons between individual-level survey data from schools and community-level CHESS data are made to demonstrate the utility of the tool in strategically guiding intervention activities. The environments where people live, work, and play are key factors in determining their diet, levels of physical activity, and tobacco use. CHESS is the first tool of its kind that systematically and simultaneously examines how built environments encourage/discourage healthy eating, physical activity, and tobacco use. CHESS can help to design community interventions to prevent chronic disease and guide healthy urban planning. © 2011 Fiona Wong et al.

Competition for light and nutrients in layered communities of aquatic plants.

PubMed

van Gerven, Luuk P A; de Klein, Jeroen J M; Gerla, Daan J; Kooi, Bob W; Kuiper, Jan J; Mooij, Wolf M

2015-07-01

Dominance of free-floating plants poses a threat to biodiversity in many freshwater ecosystems. Here we propose a theoretical framework to understand this dominance, by modeling the competition for light and nutrients in a layered community of floating and submerged plants. The model shows that at high supply of light and nutrients, floating plants always dominate due to their primacy for light, even when submerged plants have lower minimal resource requirements. The model also shows that floating-plant dominance cannot be an alternative stable state in light-limited environments but only in nutrient-limited environments, depending on the plants' resource consumption traits. Compared to unlayered communities, the asymmetry in competition for light-coincident with symmetry in competition for nutrients-leads to fundamentally different results: competition outcomes can no longer be predicted from species traits such as minimal resource requirements ([Formula: see text] rule) and resource consumption. Also, the same two species can, depending on the environment, coexist or be alternative stable states. When applied to two common plant species in temperate regions, both the model and field data suggest that floating-plant dominance is unlikely to be an alternative stable state.

Cielo Computational Environment Usage Model With Mappings to ACE Requirements for the General Availability User Environment Capabilities Release Version 1.1

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

Vigil,Benny Manuel; Ballance, Robert; Haskell, Karen

Cielo is a massively parallel supercomputer funded by the DOE/NNSA Advanced Simulation and Computing (ASC) program, and operated by the Alliance for Computing at Extreme Scale (ACES), a partnership between Los Alamos National Laboratory (LANL) and Sandia National Laboratories (SNL). The primary Cielo compute platform is physically located at Los Alamos National Laboratory. This Cielo Computational Environment Usage Model documents the capabilities and the environment to be provided for the Q1 FY12 Level 2 Cielo Capability Computing (CCC) Platform Production Readiness Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model ismore » focused on the needs of the ASC user working in the secure computing environments at Lawrence Livermore National Laboratory (LLNL), Los Alamos National Laboratory, or Sandia National Laboratories, but also addresses the needs of users working in the unclassified environment. The Cielo Computational Environment Usage Model maps the provided capabilities to the tri-Lab ASC Computing Environment (ACE) Version 8.0 requirements. The ACE requirements reflect the high performance computing requirements for the Production Readiness Milestone user environment capabilities of the ASC community. A description of ACE requirements met, and those requirements that are not met, are included in each section of this document. The Cielo Computing Environment, along with the ACE mappings, has been issued and reviewed throughout the tri-Lab community.« less

REAL Matching of Socialization Activities with Individual Needs

ERIC Educational Resources Information Center

Heiny, Robert W.; Stachowiak, Robert J.

1976-01-01

The Resident-Environment Analysis by Levels Scales model is used to identify ways to rearrange the macro-environment of mentally retarded adults in order to allow for more independent social-community living. (Author)

Applying the Model of the Interrelationship of Leadership Environments and Outcomes for Nurse Executives: a community hospital's exemplar in developing staff nurse engagement through documentation improvement initiatives.

PubMed

Adams, Jeffrey M; Denham, Debra; Neumeister, Irene Ramirez

2010-01-01

The Model of the Interrelationship of Leadership, Environments & Outcomes for Nurse Executives (MILE ONE) was developed on the basis of existing literature related to identifying strategies for simultaneous improvement of leadership, professional practice/work environments (PPWE), and outcomes. Through existing evidence, the MILE ONE identifies the continuous and dependent interrelationship of 3 distinct concept areas: (1) nurse executives influence PPWE, (2) PPWE influence patient and organizational outcomes, and (3) patient and organizational outcomes influence nurse executives. This article highlights the application of the MILE ONE framework to a community district hospital's clinical documentation performance improvement projects. Results suggest that the MILE ONE is a valid and useful framework yielding both anticipated and unexpected enhancements to leaders, environments, and outcomes.

Characterization of active and total fungal communities in the atmosphere over the Amazon rainforest

NASA Astrophysics Data System (ADS)

Womack, A. M.; Artaxo, P. E.; Ishida, F. Y.; Mueller, R. C.; Saleska, S. R.; Wiedemann, K. T.; Bohannan, B. J. M.; Green, J. L.

2015-11-01

Fungi are ubiquitous in the atmosphere and may play an important role in atmospheric processes. We investigated the composition and diversity of fungal communities over the Amazon rainforest canopy and compared these communities to fungal communities found in terrestrial environments. We characterized the total fungal community and the metabolically active portion of the community using high-throughput DNA and RNA sequencing and compared these data to predictions generated by a mass-balance model. We found that the total community was primarily comprised of fungi from the phylum Basidiomycota. In contrast, the active community was primarily composed of members of the phylum Ascomycota and included a high relative abundance of lichen fungi, which were not detected in the total community. The relative abundance of Basidiomycota and Ascomycota in the total and active communities was consistent with our model predictions, suggesting that this result was driven by the relative size and number of spores produced by these groups. When compared to other environments, fungal communities in the atmosphere were most similar to communities found in tropical soils and leaf surfaces. Our results demonstrate that there are significant differences in the composition of the total and active fungal communities in the atmosphere, and that lichen fungi, which have been shown to be efficient ice nucleators, may be abundant members of active atmospheric fungal communities over the forest canopy.

The Heliophysics Data Environment: Open Source, Open Systems and Open Data.

NASA Astrophysics Data System (ADS)

King, Todd; Roberts, Aaron; Walker, Raymond; Thieman, James

2012-07-01

The Heliophysics Data Environment (HPDE) is a place for scientific discovery. Today the Heliophysics Data Environment is a framework of technologies, standards and services which enables the international community to collaborate more effectively in space physics research. Crafting a framework for a data environment begins with defining a model of the tasks to be performed, then defining the functional aspects and the work flow. The foundation of any data environment is an information model which defines the structure and content of the metadata necessary to perform the tasks. In the Heliophysics Data Environment the information model is the Space Physics Archive Search and Extract (SPASE) model and available resources are described by using this model. A described resource can reside anywhere on the internet which makes it possible for a national archive, mission, data center or individual researcher to be a provider. The generated metadata is shared, reviewed and harvested to enable services. Virtual Observatories use the metadata to provide community based portals. Through unique identifiers and registry services tools can quickly discover and access data available anywhere on the internet. This enables a researcher to quickly view and analyze data in a variety of settings and enhances the Heliophysics Data Environment. To illustrate the current Heliophysics Data Environment we present the design, architecture and operation of the Heliophysics framework. We then walk through a real example of using available tools to investigate the effects of the solar wind on Earth's magnetosphere.

Temporal variations in a phytoplankton community in a subtropical reservoir: An interplay of extrinsic and intrinsic community effects.

PubMed

Yang, Wen; Zheng, Zhongming; Zheng, Cheng; Lu, Kaihong; Ding, Dewen; Zhu, Jinyong

2018-01-15

The phytoplankton community structure is potentially influenced by both extrinsic effects originating from the surrounding environment and intrinsic effects relying on interspecific interactions between two species. However, few studies have simultaneously considered both types of effects and assessed the relative importance of these factors. In this study, we used data collected over nine months (August 2012-May 2013) from a typical subtropical reservoir in southeast China to analyze the temporal variation of its phytoplankton community structure and develop a quantitative understanding of the extrinsic and intrinsic effects on phytoplankton community dynamics. Significant temporal variations were observed in environmental variables as well as the phytoplankton and zooplankton communities, whereas their variational trajectories and directions were entirely different. Variance partitioning analysis showed that extrinsic factors significantly explained only 31% of the variation in the phytoplankton community, thus suggesting that these factors were incomplete predictors of the community structure. Random forest-based models showed that 48% of qualified responsible phytoplankton species were more accurately predicted by phytoplankton-only models, which revealed clear effects of interspecific species-to-species interactions. Furthermore, we used association networks to model the interactions among phytoplankton, zooplankton and the environment. Network comparisons indicated that interspecific interactions were widely present in the phytoplankton community and dominated the network rather than those between phytoplankton and extrinsic factors. These findings expand the current understanding of the underlying mechanisms that govern phytoplankton community dynamics. Copyright © 2017 Elsevier B.V. All rights reserved.

Microbial Fingerprints of Community Structure Correlate with Changes in Ecosystem Function Induced by Perturbing the Redox Environment

NASA Astrophysics Data System (ADS)

Mills, A. L.; Ford, R. M.; Vallino, J. J.; Herman, J. S.; Hornberger, G. M.

2001-12-01

Restoration of high-quality groundwater has been an elusive engineering goal. Consequently, natural microbially-mediated reactions are increasingly relied upon to degrade organic contaminants, including hydrocarbons and many synthetic compounds. Of concern is how the introduction of an organic chemical contaminant affects the indigenous microbial communities, the geochemistry of the aquifer, and the function of the ecosystem. The presence of functional redundancy in microbial communities suggests that recovery of the community after a disturbance such as a contamination event could easily result in a community that is similar in function to that which existed prior to the contamination, but which is compositionally quite different. To investigate the relationship between community structure and function we observed the response of a diverse microbial community obtained from raw sewage to a dynamic redox environment using an aerobic/anaerobic/aerobic cycle. To evaluate changes in community function CO2, pH, ammonium and nitrate levels were monitored. A phylogenetically-based DNA technique (tRFLP) was used to assess changes in microbial community structure. Principal component analysis of the tRFLP data revealed significant changes in the composition of the microbial community that correlated well with changes in community function. Results from our experiments will be discussed in the context of a metabolic model based the biogeochemistry of the system. The governing philosophy of this thermodynamically constrained metabolic model is that living systems synthesize and allocate cellular machinery in such a way as to "optimally" utilize available resources in the environment. The robustness of this optimization-based approach provides a powerful tool for studying relationships between microbial diversity and ecosystem function.

Meeting the ONCHIT population health mandate: a proposed model for security in selective transportable distributed environments.

PubMed

Lorence, Daniel; Chin, John; Richards, Michael

2010-08-01

Goal Two of the US ONCHIT Plan focuses on enabling the use of electronic health information for critical health improvement activities that promote the health of targeted communities, and the US population as a whole. Because of the focus on communities and populations, the activities under this second goal differ fundamentally from those of the first goal, which focus on the care of individuals. Proposed here is a model for health information management in such population-based environments, which allows selective access and use of information, and maintains transportability while ensuring security and confidentiality.

A novel tool for assessing and summarizing the built environment

PubMed Central

2012-01-01

Background A growing corpus of research focuses on assessing the quality of the local built environment and also examining the relationship between the built environment and health outcomes and indicators in communities. However, there is a lack of research presenting a highly resolved, systematic, and comprehensive spatial approach to assessing the built environment over a large geographic extent. In this paper, we contribute to the built environment literature by describing a tool used to assess the residential built environment at the tax parcel-level, as well as a methodology for summarizing the data into meaningful indices for linkages with health data. Methods A database containing residential built environment variables was constructed using the existing body of literature, as well as input from local community partners. During the summer of 2008, a team of trained assessors conducted an on-foot, curb-side assessment of approximately 17,000 tax parcels in Durham, North Carolina, evaluating the built environment on over 80 variables using handheld Global Positioning System (GPS) devices. The exercise was repeated again in the summer of 2011 over a larger geographic area that included roughly 30,700 tax parcels; summary data presented here are from the 2008 assessment. Results Built environment data were combined with Durham crime data and tax assessor data in order to construct seven built environment indices. These indices were aggregated to US Census blocks, as well as to primary adjacency communities (PACs) and secondary adjacency communities (SACs) which better described the larger neighborhood context experienced by local residents. Results were disseminated to community members, public health professionals, and government officials. Conclusions The assessment tool described is both easily-replicable and comprehensive in design. Furthermore, our construction of PACs and SACs introduces a novel concept to approximate varying scales of community and describe the built environment at those scales. Our collaboration with community partners at all stages of the tool development, data collection, and dissemination of results provides a model for engaging the community in an active research program. PMID:23075269

Exhilarated Learning and the Scholarship of Engagement: From Here (the University) to the Horizon (the Community)

ERIC Educational Resources Information Center

Strean, William Ben

2012-01-01

In this paper, I explain the components of "exhilarated learning," a model for effective classroom environments, and show how this model can be applied to the broader context of community-university engagement. I describe the following three dimensions: human connection, whole body engagement, and linking content to context; and I…

A Response to the Review of the Community of Inquiry Framework

ERIC Educational Resources Information Center

Akyol, Zehra; Arbaugh, J. Ben; Cleveland-Innes, Marti; Garrison, D. Randy; Ice, Phil; Richardson, Jennifer C.; Swan, Karen

2009-01-01

The Community of Inquiry (CoI) framework has become a prominent model of teaching and learning in online and blended learning environments. Considerable research has been conducted which employs the framework with promising results, resulting in wide use to inform the practice of online and blended teaching and learning. For the CoI model to…

Age-Friendly Rural Communities: Conceptualizing 'Best-Fit'.

PubMed

Keating, Norah; Eales, Jacquie; Phillips, Judith E

2013-12-01

The literature on age-friendly communities is predominantly focused on a model of urban aging, thereby failing to reflect the diversity of rural communities. In this article, we address that gap by focusing on the concept of community in a rural context and asking what makes a good fi t between older people and their environment. We do this through (a) autobiographical and biographical accounts of two very different geographical living environments: bucolic and bypassed communities; and through (b) analysis of the different needs and resources of two groups of people: marginalized and community-active older adults, who live in those two different rural communities. We argue that the original 2007 Health Organization definition of age friendly should be reconceptualized to explicitly accommodate different community needs and resources, to be more inclusive as well as more interactive and dynamic, incorporating changes that have occurred over time in people and place.

WILLIAMSBURG BROOKLYN ASTHMA AND ENVIRONMENT CONSORTIUM

EPA Science Inventory

The Consortium expects to develop a family health promotion model in which organized residents have access to easily understood, scientifically accurate, community-specific information about their health, their environment, and the relationship between the two,...

Identifying Fit of Mission and Environment: Applying the American Community College Model Internationally

ERIC Educational Resources Information Center

Spangler, Mary S.; Tyler, Arthur Q., Jr.

2011-01-01

The two-year community college is a hundred-year-old phenomenon, locally funded and distinctly American, yet increasingly exportable. Serving ever more varied roles while being challenged economically, legislatively, and academically to meet progressively higher expectations in the United States, the American community college has been discovered…

Predictors of Community of Inquiry in a Flipped Classroom Model

ERIC Educational Resources Information Center

Karaoglan Yilmaz, Fatma Gizem

2017-01-01

The aim of this study is to investigate structural relationships between community of inquiry, transactional distance perception, and motivation. The research was conducted with 109 students using flipped classroom environment utilized within the scope of a course. The data of the study were obtained from the answers given in community of inquiry…

Metabolic interactions and dynamics in microbial communities

NASA Astrophysics Data System (ADS)

Segre', Daniel

Metabolism, in addition to being the engine of every living cell, plays a major role in the cell-cell and cell-environment relations that shape the dynamics and evolution of microbial communities, e.g. by mediating competition and cross-feeding interactions between different species. Despite the increasing availability of metagenomic sequencing data for numerous microbial ecosystems, fundamental aspects of these communities, such as the unculturability of many isolates, and the conditions necessary for taxonomic or functional stability, are still poorly understood. We are developing mechanistic computational approaches for studying the interactions between different organisms based on the knowledge of their entire metabolic networks. In particular, we have recently built an open source platform for the Computation of Microbial Ecosystems in Time and Space (COMETS), which combines metabolic models with convection-diffusion equations to simulate the spatio-temporal dynamics of metabolism in microbial communities. COMETS has been experimentally tested on small artificial communities, and is scalable to hundreds of species in complex environments. I will discuss recent developments and challenges towards the implementation of models for microbiomes and synthetic microbial communities.

Biofilm community succession: a neutral perspective.

PubMed

Woodcock, Stephen; Sloan, William T

2017-05-22

Although biofilms represent one of the dominant forms of life in aqueous environments, our understanding of the assembly and development of their microbial communities remains relatively poor. In recent years, several studies have addressed this and have extended the concepts of succession theory in classical ecology into microbial systems. From these datasets, niche-based conceptual models have been developed explaining observed biodiversity patterns and their dynamics. These models have not, however, been formulated mathematically and so remain untested. Here, we further develop spatially resolved neutral community models and demonstrate that these can also explain these patterns and offer alternative explanations of microbial succession. The success of neutral models suggests that stochastic effects alone may have a much greater influence on microbial community succession than previously acknowledged. Furthermore, such models are much more readily parameterised and can be used as the foundation of more complex and realistic models of microbial community succession.

Behavior-over-time graphs: assessing perceived trends in healthy eating and active living environments and behaviors across 49 communities.

PubMed

Hoehner, Christine M; Sabounchi, Nasim S; Brennan, Laura K; Hovmand, Peter; Kemner, Allison

2015-01-01

In the evaluation of the Healthy Kids, Healthy Communities initiative, investigators implemented Group Model Building (GMB) to promote systems thinking at the community level. As part of the GMB sessions held in each community partnership, participants created behavior-over-time graphs (BOTGs) to characterize their perceptions of changes over time related to policies, environments, collaborations, and social determinants in their community related to healthy eating, active living, and childhood obesity. To describe the process of coding BOTGs and their trends. Descriptive study of trends among BOTGs from 11 domains (eg, active living environments, social determinants of health, funding) and relevant categories and subcategories based on the graphed variables. In addition, BOTGs were distinguished by whether the variables were positively (eg, access to healthy foods) or negatively (eg, screen time) associated with health. The GMB sessions were held in 49 community partnerships across the United States. Participants in the GMB sessions (n = 590; n = 5-21 per session) included key individuals engaged in or impacted by the policy, system, or environmental changes occurring in the community. Thirty codes were developed to describe the direction (increasing, decreasing, stable) and shape (linear, reinforcing, balancing, or oscillating) of trends from 1660 graphs. The patterns of trends varied by domain. For example, among variables positively associated with health, the prevalence of reinforcing increasing trends was highest for active living and healthy eating environments (37.4% and 29.3%, respectively), partnership and community capacity (38.8%), and policies (30.2%). Examination of trends of specific variables suggested both convergence (eg, for cost of healthy foods) and divergence (eg, for farmers' markets) of trends across partnerships. Behavior-over-time graphs provide a unique data source for understanding community-level trends and, when combined with causal maps and computer modeling, can yield insights about prevention strategies to address childhood obesity.

Disability and the Built Environment: An Investigation of Community and Neighborhood Land Uses and Participation for Physically Impaired Adults

PubMed Central

Botticello, Amanda L.; Rohrbach, Tanya; Cobbold, Nicolette

2014-01-01

Purpose There is a need for empirical support of the association between the built environment and disability-related outcomes. This study explores the associations between community and neighborhood land uses and community participation among adults with acquired physical disability. Methods Cross-sectional data from 508 community-living, chronically disabled adults in New Jersey were obtained from among participants in national Spinal Cord Injury Model Systems database. Participants’ residential addresses were geocoded to link individual survey data with Geographic Information Systems (GIS) data on land use and destinations. The influence of residential density, land use mix, destination counts, and open space on four domains of participation were modeled at two geographic scales—the neighborhood (i.e., half mile buffer) and community (i.e., five mile) using multivariate logistic regression. All analyses were adjusted for demographic and impairment-related differences. Results Living in communities with greater land use mix and more destinations was associated with a decreased likelihood of reporting optimum social and physical activity. Conversely, living in neighborhoods with large portions of open space was positively associated with the likelihood of reporting full physical, occupational, and social participation. Conclusions These findings suggest that the overall living conditions of the built environment may be relevant to social inclusion for persons with physical disabilities. PMID:24935467

Plant growth and architectural modelling and its applications

PubMed Central

Guo, Yan; Fourcaud, Thierry; Jaeger, Marc; Zhang, Xiaopeng; Li, Baoguo

2011-01-01

Over the last decade, a growing number of scientists around the world have invested in research on plant growth and architectural modelling and applications (often abbreviated to plant modelling and applications, PMA). By combining physical and biological processes, spatially explicit models have shown their ability to help in understanding plant–environment interactions. This Special Issue on plant growth modelling presents new information within this topic, which are summarized in this preface. Research results for a variety of plant species growing in the field, in greenhouses and in natural environments are presented. Various models and simulation platforms are developed in this field of research, opening new features to a wider community of researchers and end users. New modelling technologies relating to the structure and function of plant shoots and root systems are explored from the cellular to the whole-plant and plant-community levels. PMID:21638797

Building A Community Focused Data and Modeling Collaborative platform with Hardware Virtualization Technology

NASA Astrophysics Data System (ADS)

Michaelis, A.; Wang, W.; Melton, F. S.; Votava, P.; Milesi, C.; Hashimoto, H.; Nemani, R. R.; Hiatt, S. H.

2009-12-01

As the length and diversity of the global earth observation data records grow, modeling and analyses of biospheric conditions increasingly requires multiple terabytes of data from a diversity of models and sensors. With network bandwidth beginning to flatten, transmission of these data from centralized data archives presents an increasing challenge, and costs associated with local storage and management of data and compute resources are often significant for individual research and application development efforts. Sharing community valued intermediary data sets, results and codes from individual efforts with others that are not in direct funded collaboration can also be a challenge with respect to time, cost and expertise. We purpose a modeling, data and knowledge center that houses NASA satellite data, climate data and ancillary data where a focused community may come together to share modeling and analysis codes, scientific results, knowledge and expertise on a centralized platform, named Ecosystem Modeling Center (EMC). With the recent development of new technologies for secure hardware virtualization, an opportunity exists to create specific modeling, analysis and compute environments that are customizable, “archiveable” and transferable. Allowing users to instantiate such environments on large compute infrastructures that are directly connected to large data archives may significantly reduce costs and time associated with scientific efforts by alleviating users from redundantly retrieving and integrating data sets and building modeling analysis codes. The EMC platform also provides the possibility for users receiving indirect assistance from expertise through prefabricated compute environments, potentially reducing study “ramp up” times.

If We Build It, We Will Come: A Model for Community-Led Change to Transform Neighborhood Conditions to Support Healthy Eating and Active Living

PubMed Central

Seeholzer, Eileen L.; Leon, Janeen B.; Chappelle, Sandra Byrd; Sehgal, Ashwini R.

2015-01-01

Neighborhoods affect health. In 3 adjoining inner-city Cleveland, Ohio, neighborhoods, residents have an average life expectancy 15 years less than that of a nearby suburb. To address this disparity, a local health funder created the 2010 to 2013 Francis H. Beam Community Health Fellowship to develop a strategic community engagement process to establish a Healthy Eating & Active Living (HEAL) culture and lifestyle in the neighborhoods. The fellow developed and advanced a model, engaging the community in establishing HEAL options and culture. Residents used the model to identify a shared vision for HEAL and collaborated with community partners to create and sustain innovative HEAL opportunities. This community-led, collaborative model produced high engagement levels (15% of targeted 12 000 residents) and tangible improvements in the neighborhood’s physical, resource, and social environments. PMID:25880943

Exploration of Uncertainty in Glacier Modelling

NASA Technical Reports Server (NTRS)

Thompson, David E.

1999-01-01

There are procedures and methods for verification of coding algebra and for validations of models and calculations that are in use in the aerospace computational fluid dynamics (CFD) community. These methods would be efficacious if used by the glacier dynamics modelling community. This paper is a presentation of some of those methods, and how they might be applied to uncertainty management supporting code verification and model validation for glacier dynamics. The similarities and differences between their use in CFD analysis and the proposed application of these methods to glacier modelling are discussed. After establishing sources of uncertainty and methods for code verification, the paper looks at a representative sampling of verification and validation efforts that are underway in the glacier modelling community, and establishes a context for these within overall solution quality assessment. Finally, an information architecture and interactive interface is introduced and advocated. This Integrated Cryospheric Exploration (ICE) Environment is proposed for exploring and managing sources of uncertainty in glacier modelling codes and methods, and for supporting scientific numerical exploration and verification. The details and functionality of this Environment are described based on modifications of a system already developed for CFD modelling and analysis.

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…

Analysis of stability to cheaters in models of antibiotic degrading microbial communities.

PubMed

Szilágyi, András; Boza, Gergely; Scheuring, István

2017-06-21

Antibiotic resistance carried out by antibiotic degradation has been suggested recently as a new mechanism to maintain coexistence of microbial species competing on a single limiting resource, even in well-mixed homogeneous environments. Species diversity and community stability, however, critically depend on resistance against social cheaters, mutants that do not invest in production, but still enjoy the benefits provided by others. Here we investigate how different mutant cheaters affect the stability of antibiotic producing and degrading microbial communities. We consider two cheater types, production and degradation cheaters. We generalize the mixed inhibition-zone and chemostat models introduced previously [Kelsic, E. D., Zhao, J., Vetsigian, K., Kishony, R., 2015. Counteraction of an tibiotic production and degradation stabilizes microbial communities. Nature521, 516-519.] to study the population dynamics of microbial communities in well-mixed environment, and analyze the invasion of different cheaters in these models. We show that production cheaters, mutants that cease producing antibiotics, always destroy coexistence whenever there is a cost of producing these antibiotics. Degradation cheaters, mutants that loose their function of producing extracellular antibiotic degrading molecules, induce community collapse only if the cost of producing the degradation factors is above a critical level. Our analytical studies, supported by numerical simulations, highlight the sensitivity of antibiotic producing and degrading communities to loss-of-function mutants. Copyright © 2017 Elsevier Ltd. All rights reserved.

The Clubhouse Model of Community Support for Adults with Mental Illness: An Emerging Opportunity for Social Work Education.

ERIC Educational Resources Information Center

Jackson, Robert L.; And Others

1996-01-01

As an approach to serving adults with mental illness, the Clubhouse Model, developed during the 1950s and 1960s, is particularly suitable for social workers. Clubhouse communities provide support for a full range of daily needs and a participatory environment designed to promote recovery from social isolation and deprivation. Social workers'…

Project Integrate: Translating Screening and Brief Interventions for Alcohol Problems to a Community Hospital Emergency Department

ERIC Educational Resources Information Center

Mello, Michael J.; Baird, Janette; Nirenberg, Ted D.; Smith, Jennifer C.; Woolard, Robert H.; Dinwoodie, Robert G.

2009-01-01

Screening and brief intervention (SBI) for alcohol problems in the emergency department (ED) is effective. The objective of this study was to examine the translation of SBI into a busy community ED environment. The authors assessed key stakeholders views of SBI delivery model, then utilized feedback to adapt model. Adoption of SBI was recorded,…

Active living for rural youth: addressing physical inactivity in rural communities.

PubMed

Yousefian, Anush; Ziller, Erika; Swartz, Jon; Hartley, David

2009-01-01

Rural youth are at greater risk than urban youth for obesity and physical inactivity. Active living research incorporates an ecological approach to promoting physical activity (PA) by recognizing that individual behavior, social environments, physical environments, and policies contribute to behavior change. Active living research and interventions have been limited primarily to urban settings. Because rural communities have unique environmental features and sociocultural characteristics, this project combines insights from current active living models with more focused consideration of the physical and social realities of rural areas. In this study, we report on our efforts to develop, test, and refine a conceptual model describing the interaction between the individual and the environment as it enhances or thwarts active living in rural communities. Our findings revealed a host of relevant "predisposing" and "enabling" factors, including sociodemographic, environmental, policy, and programmatic elements, that extend across the four domains of active living--transportation, recreation, occupation, and household. A one-size approach to PA promotion will not fit the needs of rural youth. Given the unique challenges that rural communities face, efforts to combat childhood obesity must consider rural residents a priority population. More research, interventions, and evaluations on ways to promote rural PA are needed.

Multi-scale modeling of tsunami flows and tsunami-induced forces

NASA Astrophysics Data System (ADS)

Qin, X.; Motley, M. R.; LeVeque, R. J.; Gonzalez, F. I.

2016-12-01

The modeling of tsunami flows and tsunami-induced forces in coastal communities with the incorporation of the constructed environment is challenging for many numerical modelers because of the scale and complexity of the physical problem. A two-dimensional (2D) depth-averaged model can be efficient for modeling of waves offshore but may not be accurate enough to predict the complex flow with transient variance in vertical direction around constructed environments on land. On the other hand, using a more complex three-dimensional model is much more computational expensive and can become impractical due to the size of the problem and the meshing requirements near the built environment. In this study, a 2D depth-integrated model and a 3D Reynolds Averaged Navier-Stokes (RANS) model are built to model a 1:50 model-scale, idealized community, representative of Seaside, OR, USA, for which existing experimental data is available for comparison. Numerical results from the two numerical models are compared with each other as well as experimental measurement. Both models predict the flow parameters (water level, velocity, and momentum flux in the vicinity of the buildings) accurately, in general, except for time period near the initial impact, where the depth-averaged models can fail to capture the complexities in the flow. Forces predicted using direct integration of predicted pressure on structural surfaces from the 3D model and using momentum flux from the 2D model with constructed environment are compared, which indicates that force prediction from the 2D model is not always reliable in such a complicated case. Force predictions from integration of the pressure are also compared with forces predicted from bare earth momentum flux calculations to reveal the importance of incorporating the constructed environment in force prediction models.

Community-Embedded Learning Experiences: Putting the Pedagogy of Service-Learning to Work in Online Courses

ERIC Educational Resources Information Center

Becnel, Kim; Moeller, Robin A.

2017-01-01

This paper considers the applicability and adaptability of service-learning pedagogy to online and distance education teaching environments. More specifically, it looks at the community-embedded learning model (CEL), which asks distance students to conduct service projects in their local communities, as manifested in a project undertaken by online…

Nutrition environment measures survey-vending: development, dissemination, and reliability.

PubMed

Voss, Carol; Klein, Susan; Glanz, Karen; Clawson, Margaret

2012-07-01

Researchers determined a need to develop an instrument to assess the vending machine environment that was comparably reliable and valid to other Nutrition Environment Measures Survey tools and that would provide consistent and comparable data for businesses, schools, and communities. Tool development, reliability testing, and dissemination of the Nutrition Environment Measures Survey-Vending (NEMS-V) involved a collaboration of students, professionals, and community leaders. Interrater reliability testing showed high levels of agreement among trained raters on the products and evaluations of products. NEMS-V can benefit public health partners implementing policy and environmental change initiatives as a part of their community wellness activities. The vending machine project will support a policy calling for state facilities to provide a minimum of 30% of foods and beverages in vending machines as healthy options, based on NEMS-V criteria, which will be used as a model for other businesses.

Relationships between and formation dynamics of the microbiota of consumers, producers, and the environment in an abalone aquatic system

PubMed Central

Zhao, Wang; Liu, Guang-Feng; Wang, Jiang-Yong

2017-01-01

An ecosystem is a community comprising living and nonliving components of the environment. Microbes are ubiquitous elements in each of these components. The dynamics of microbiota formation in an ecosystem is important to elucidate, because how the different components of a system exchange microbes, and how the microbes control ecological processes remain unresolved. In this study, an abalone, Haliotis diversicolor, seed-nursing pond was used as a model system. We first examined changes in bacterial communities during the seedling cultivation of this herbivorous juvenile aquatic invertebrate animal. Denaturing gradient gel electrophoresis (DGGE) and pyrosequencing were used to analyze bacterial community dynamics and spatio-temporal interactions of different system components: consumers (abalone), producers (algae or a substrate), and the environment (water). DGGE fingerprints revealed that the developmental stages of abalone influences bacterial communities of both the abalone and substrate. Although the communities in water fluctuated daily, they could be divided into two clusters that coincided with abalone stages, reflecting the transition from larva to juvenile at around day 21. Pyrosequencing showed that the microbiota in the abalone and substrate had more operational taxonomic units in common than that of either with water. The Bray-Curtis similarity index was used to quantify the formation dynamics of microbiota among the various components of the system. The bacterial communities in producers and consumers showed similar changes. These communities were unstable at the beginning and then slowly stabilized over time. The environmental bacterial community was more stable than the bacterial communities in consumers and producers, and may have been the basis for stability in the system. Our research provides insights into the dynamics of microbiota formation in various biotic elements of a system that will contribute to predictive systems modeling. PMID:28787009

Relationships between and formation dynamics of the microbiota of consumers, producers, and the environment in an abalone aquatic system.

PubMed

Jiang, Jing-Zhe; Zhao, Wang; Liu, Guang-Feng; Wang, Jiang-Yong

2017-01-01

An ecosystem is a community comprising living and nonliving components of the environment. Microbes are ubiquitous elements in each of these components. The dynamics of microbiota formation in an ecosystem is important to elucidate, because how the different components of a system exchange microbes, and how the microbes control ecological processes remain unresolved. In this study, an abalone, Haliotis diversicolor, seed-nursing pond was used as a model system. We first examined changes in bacterial communities during the seedling cultivation of this herbivorous juvenile aquatic invertebrate animal. Denaturing gradient gel electrophoresis (DGGE) and pyrosequencing were used to analyze bacterial community dynamics and spatio-temporal interactions of different system components: consumers (abalone), producers (algae or a substrate), and the environment (water). DGGE fingerprints revealed that the developmental stages of abalone influences bacterial communities of both the abalone and substrate. Although the communities in water fluctuated daily, they could be divided into two clusters that coincided with abalone stages, reflecting the transition from larva to juvenile at around day 21. Pyrosequencing showed that the microbiota in the abalone and substrate had more operational taxonomic units in common than that of either with water. The Bray-Curtis similarity index was used to quantify the formation dynamics of microbiota among the various components of the system. The bacterial communities in producers and consumers showed similar changes. These communities were unstable at the beginning and then slowly stabilized over time. The environmental bacterial community was more stable than the bacterial communities in consumers and producers, and may have been the basis for stability in the system. Our research provides insights into the dynamics of microbiota formation in various biotic elements of a system that will contribute to predictive systems modeling.

Demonstration of C-Tools for Community Exposure Assessment

EPA Science Inventory

The presentation describes a new community-scale tool called C-PORT to model emissions related to all port-related activities – including, but not limited to ships, trucks, cranes, etc. – and predict concentrations at fine spatial scales in the near-source environment...

Soundscape elaboration from anthrophonic adaptation of community noise

NASA Astrophysics Data System (ADS)

Teddy Badai Samodra, FX

2018-03-01

Under the situation of an urban environment, noise has been a critical issue in affecting the indoor environment. A reliable approach is required for evaluation of the community noise as one factor of anthrophonic in the urban environment. This research investigates the level of noise exposure from different community noise sources and elaborates the advantage of the noise disadvantages for soundscape innovation. Integrated building element design as a protector for noise control and speech intelligibility compliance using field experiment and MATLAB programming and modeling are also carried out. Meanwhile, for simulation analysis and building acoustic optimization, Sound Reduction-Speech Intelligibility and Reverberation Time are the main parameters for identifying tropical building model as case study object. The results show that the noise control should consider its integration with the other critical issue, thermal control, in an urban environment. The 1.1 second of reverberation time for speech activities and noise reduction more than 28.66 dBA for critical frequency (20 Hz), the speech intelligibility index could be reached more than fair assessment, 0.45. Furthermore, the environmental psychology adaptation result “Close The Opening” as the best method in high noise condition and personal adjustment as the easiest and the most adaptable way.

The vital nature of environment.

PubMed

Alligood, Martha Raile

2011-04-01

The nursing perspective includes the environment of a person, family, or community and there is global acceptance of environment as a disciplinary boundary. However, there are important distinctions among the conceptual models of nursing with regard to the meaning of the term. These differences spring from the worldview and philosophy that tailor its focus and fit.

The Human Dimension of Flood Risk: Towards Building Resilience in Vulnerable Communities

NASA Astrophysics Data System (ADS)

Goodrich, K.

2015-12-01

Significant advancements have been made in hydrodynamic modeling for natural disasters such as floods; however, it is vital to better understand how to effectively communicate risk to promote hazard preparedness. In many poor communities throughout the world, individuals live in areas that are hazardous because of the conditions of both the natural environment and built environment. Furthermore, environmental risks from the natural environment can be exacerbated by human development. Planning, behavioral change, and strategic actions taken by community members can mitigate risk, however, it is critical to first understand the perspective of those who are most vulnerable to (1) better communicate risk and (2) improve hazardous conditions. Thus, the Flood Resilient Infrastructure and Sustainable Environments (FloodRISE) project conducted a household level survey of over 350 participants in Los Laureles Canyon, a colonia in Tijuana, Mexico that is vulnerable to flooding. Preliminary results from the study will be discussed, specifically addressing: (1) the relationship between compounding risk factors, such as flooding and erosion, and (2) data that speaks to next steps for engaging community in the co-generation of local knowledge about flood hazards, and other strategies that contribute to more flood resilient communities.

Constraint-based stoichiometric modelling from single organisms to microbial communities

PubMed Central

Olivier, Brett G.; Bruggeman, Frank J.; Teusink, Bas

2016-01-01

Microbial communities are ubiquitously found in Nature and have direct implications for the environment, human health and biotechnology. The species composition and overall function of microbial communities are largely shaped by metabolic interactions such as competition for resources and cross-feeding. Although considerable scientific progress has been made towards mapping and modelling species-level metabolism, elucidating the metabolic exchanges between microorganisms and steering the community dynamics remain an enormous scientific challenge. In view of the complexity, computational models of microbial communities are essential to obtain systems-level understanding of ecosystem functioning. This review discusses the applications and limitations of constraint-based stoichiometric modelling tools, and in particular flux balance analysis (FBA). We explain this approach from first principles and identify the challenges one faces when extending it to communities, and discuss the approaches used in the field in view of these challenges. We distinguish between steady-state and dynamic FBA approaches extended to communities. We conclude that much progress has been made, but many of the challenges are still open. PMID:28334697

Don't Waste Your Time Teaching in an On-Line Environment

ERIC Educational Resources Information Center

Potvin, Bernie L.

2012-01-01

In this paper I address one question asked by teachers who teach online--"How can I build community among my learners in my class?" This paper provides an answer; in fact, it provides ten possible answers, in the form of ten models for teachers to use to build community in on-line courses. Each model has been tried and tested over ten…

WASTE INFORMATION MODELING (WIM) FOR CONSTRUCTION OF THE BUILT ENVIRONMENT

EPA Science Inventory

The outcomes will include the construction of full-scale building prototypes. As full-scale pieces are constructed they will be installed throughout the community, and could potentially be used as installations within the local community to demonstrate the use of recycled prod...

Use of negative multinomial linear models to investigate environmental effects on community structure.

EPA Science Inventory

A frequent goal in ecology is to understand the relationships between biological communities and their environment. Anderson and McCardle (2001) provided a nonparametric method, known as Permanova, that is often used for this purpose. Permanova represents a significant advance,...

Using the Community Readiness Model to Examine the Built and Social Environment: A Case Study of the High Point Neighborhood, Seattle, Washington, 2000–2010

PubMed Central

Sharify, Denise Tung; Blake, Bonita; Phillips, Tom; Whitten, Kathleen

2014-01-01

Background Residents of many cities lack affordable, quality housing. Economically disadvantaged neighborhoods often have high rates of poverty and crime, few institutions that enhance the quality of its residents’ lives, and unsafe environments for walking and other physical activity. Deteriorating housing contributes to asthma-related illness. We describe the redevelopment of High Point, a West Seattle neighborhood, to improve its built environment, increase neighborhood physical activity, and reduce indoor asthma triggers. Community Context High Point is one of Seattle’s most demographically diverse neighborhoods. Prior to redevelopment, it had a distressed infrastructure, rising crime rates, and indoor environments that increased asthma-related illness in children and adolescents. High Point residents and partners developed and implemented a comprehensive redevelopment plan to create a sustainable built environment to increase outdoor physical activity and improve indoor environments. Methods We conducted a retrospective analysis of the High Point redevelopment, organized by the different stages of change in the Community Readiness Model. We also examined the multisector partnerships among government and community groups that contributed to the success of the High Point project. Outcome Overall quality of life for residents improved as a result of neighborhood redevelopment. Physical activity increased, residents reported fewer days of poor physical or mental health, and social connectedness between neighbors grew. Asthma-friendly homes significantly decreased asthma-related illness among children and adolescents. Interpretation Providing affordable, quality housing to low-income families improved individual and neighborhood quality of life. Efforts to create social change and improve the health outcomes for entire populations are more effective when multiple organizations work together to improve neighborhood health. PMID:25376016

Contrasting the effects of environment, dispersal and biotic interactions to explain the distribution of invasive plants in alpine communities

PubMed Central

GALLIEN, Laure; MAZEL, Florent; LAVERGNE, Sébastien; RENAUD, Julien; DOUZET, Rolland; THUILLER, Wilfried

2015-01-01

Despite considerable efforts devoted to investigate the community assembly processes driving plant invasions, few general conclusions have been drawn so far. Three main processes, generally acting as successive filters, are thought to be of prime importance. The invader has to disperse (1st filter) into a suitable environment (2nd filter) and succeed in establishing in recipient communities through competitive interactions (3rd filter) using two strategies: competition avoidance by the use of different resources (resource opportunity), or competitive exclusion of native species. Surprisingly, despite the general consensus on the importance of investigating these three processes and their interplay, they are usually studied independently. Here we aim to analyse these three filters together, by including them all: abiotic environment, dispersal and biotic interactions, into models of invasive species distributions. We first propose a suite of indices (based on species functional dissimilarities) supposed to reflect the two competitive strategies (resource opportunity and competition exclusion). Then, we use a set of generalised linear models to explain the distribution of seven herbaceous invaders in natural communities (using a large vegetation database for the French Alps containing 5,000 community-plots). Finally, we measure the relative importance of competitive interaction indices, identify the type of coexistence mechanism involved and how this varies along environmental gradients. Adding competition indices significantly improved model’s performance, but neither resource opportunity nor competitive exclusion were common strategies among the seven species. Overall, we show that combining environmental, dispersal and biotic information to model invasions has excellent potential for improving our understanding of invader success. PMID:26290653

Collective Phase in Resource Competition in a Highly Diverse Ecosystem.

PubMed

Tikhonov, Mikhail; Monasson, Remi

2017-01-27

Organisms shape their own environment, which in turn affects their survival. This feedback becomes especially important for communities containing a large number of species; however, few existing approaches allow studying this regime, except in simulations. Here, we use methods of statistical physics to analytically solve a classic ecological model of resource competition introduced by MacArthur in 1969. We show that the nonintuitive phenomenology of highly diverse ecosystems includes a phase where the environment constructed by the community becomes fully decoupled from the outside world.

Application description and policy model in collaborative environment for sharing of information on epidemiological and clinical research data sets.

PubMed

de Carvalho, Elias César Araujo; Batilana, Adelia Portero; Simkins, Julie; Martins, Henrique; Shah, Jatin; Rajgor, Dimple; Shah, Anand; Rockart, Scott; Pietrobon, Ricardo

2010-02-19

Sharing of epidemiological and clinical data sets among researchers is poor at best, in detriment of science and community at large. The purpose of this paper is therefore to (1) describe a novel Web application designed to share information on study data sets focusing on epidemiological clinical research in a collaborative environment and (2) create a policy model placing this collaborative environment into the current scientific social context. The Database of Databases application was developed based on feedback from epidemiologists and clinical researchers requiring a Web-based platform that would allow for sharing of information about epidemiological and clinical study data sets in a collaborative environment. This platform should ensure that researchers can modify the information. A Model-based predictions of number of publications and funding resulting from combinations of different policy implementation strategies (for metadata and data sharing) were generated using System Dynamics modeling. The application allows researchers to easily upload information about clinical study data sets, which is searchable and modifiable by other users in a wiki environment. All modifications are filtered by the database principal investigator in order to maintain quality control. The application has been extensively tested and currently contains 130 clinical study data sets from the United States, Australia, China and Singapore. Model results indicated that any policy implementation would be better than the current strategy, that metadata sharing is better than data-sharing, and that combined policies achieve the best results in terms of publications. Based on our empirical observations and resulting model, the social network environment surrounding the application can assist epidemiologists and clinical researchers contribute and search for metadata in a collaborative environment, thus potentially facilitating collaboration efforts among research communities distributed around the globe.

Modeling and Analysis Compute Environments, Utilizing Virtualization Technology in the Climate and Earth Systems Science domain

NASA Astrophysics Data System (ADS)

Michaelis, A.; Nemani, R. R.; Wang, W.; Votava, P.; Hashimoto, H.

2010-12-01

Given the increasing complexity of climate modeling and analysis tools, it is often difficult and expensive to build or recreate an exact replica of the software compute environment used in past experiments. With the recent development of new technologies for hardware virtualization, an opportunity exists to create full modeling, analysis and compute environments that are “archiveable”, transferable and may be easily shared amongst a scientific community or presented to a bureaucratic body if the need arises. By encapsulating and entire modeling and analysis environment in a virtual machine image, others may quickly gain access to the fully built system used in past experiments, potentially easing the task and reducing the costs of reproducing and verify past results produced by other researchers. Moreover, these virtual machine images may be used as a pedagogical tool for others that are interested in performing an academic exercise but don't yet possess the broad expertise required. We built two virtual machine images, one with the Community Earth System Model (CESM) and one with Weather Research Forecast Model (WRF), then ran several small experiments to assess the feasibility, performance overheads costs, reusability, and transferability. We present a list of the pros and cons as well as lessoned learned from utilizing virtualization technology in the climate and earth systems modeling domain.

Improving Water Resources Management on Global and Region Scales - Evaluating Strategies for Water Futures with the IIASA's Community Water Model

NASA Astrophysics Data System (ADS)

Burek, P.; Kahil, T.; Satoh, Y.; Greve, P.; Byers, E.; Langan, S.; Wada, Y.

2017-12-01

Half of the planet's population is severely impacted by severe water issues including absent or unreliable water supply, sanitation, poor water quality, unmitigated floods and droughts, and degraded water environments. In recent years, global water security has been highlighted not only by the science community but also by business leaders as one of the greatest threats to sustainable human development for different generations. How can we ensure the well-being of people and ecosystems with limited water, technology and financial resources? To evaluate this, IIASA's Water Futures and Solutions Initiative (WFaS) is identifying a portfolios of robust and cost-effective options across different economic sectors including agriculture, energy, manufacturing, households, and environment and ecosystems. Options to increase water supply and accessibility are evaluated together with water demand management and water governance options. To test these solution-portfolios in order to obtain a clear picture of the opportunities but also of the risks and the trade-offs we have developed the Community Water Model (CWATM) which joins IIASA's integrated assessment modeling framework, coupling hydrology with hydro-economics (ECHO model), energy (MESSAGE model) and land use (GLOBIOM model). CWATM has been developed to work flexibly with varying spatial resolutions from global to regional levels. The model is open source and community-driven to promote our work amongst the wider water and other science community worldwide, with flexibility to link to other models and integrate newly developed modules such as water quality. In order to identify the solution portfolios, we present a global hotspots assessment of water-related risks with the ability to zoom in at regional scale using the example of the Lake Victoria basin in E. Africa. We show how socio-economic and climate change will alter spatial patterns of the hydrological cycle and have regional impacts on water availability. At the same time, we assess water needs for humans and environment to identify the population and regions that are vulnerable to changes linked to extremes such as water scarcity, droughts and floods. Different solution-portfolios to facilitate regional water management planning will be further discussed.

Employee Retention: A Challenge of the Nineties.

ERIC Educational Resources Information Center

Zeiss, Tony

1990-01-01

Considers ways in which community colleges can help employers implement programs to improve the work environment and retain trained workers. Presents a model for employee retention that has worked effectively in Pueblo, Colorado. Describes Pueblo Community College's cooperative program with the Wats Marketing Group to help reduce employee…

Community-Oriented Primary Care in Action: A Dallas Story

PubMed Central

Pickens, Sue; Boumbulian, Paul; Anderson, Ron J.; Ross, Samuel; Phillips, Sharon

2002-01-01

Dallas County, Texas, is the site of the largest urban application of the community-oriented primary care (COPC) model in the United States. We summarize the development and implementation of Dallas’s Parkland Health & Hospital System COPC program. The complexities of implementing and managing this comprehensive community-based program are delineated in terms of Dallas County’s political environment and the components of COPC (assessment, prioritization, community collaboration, health care system, evaluation, and financing). Steps to be taken to ensure the future growth and development of the Dallas program are also considered. The COPC model, as implemented by Parkland, is replicable in other urban areas. PMID:12406794

SPRUCE Representing Northern Peatland Microtopography and Hydrology within the Community Land Model: Modeling Archive

DOE Data Explorer

Shi, X. [Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, U.S.A.; Thornton, P. E. [Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, U.S.A.; Ricciuto, D. M. [Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, U.S.A.; Hanson, P. J. [Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, U.S.A.; Mao, J. [Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, U.S.A.; Sebestyen, S. [Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, U.S.A.; Griffiths, N. A. [Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, U.S.A.; Bisht, G. [Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, U.S.A.

2016-09-01

Here we provide model code, inputs, outputs and evaluation datasets for a new configuration of the Community Land Model (CLM) for SPRUCE, which includes a fully prognostic water table calculation for SPRUCE. Our structural and process changes to CLM focus on modifications needed to represent the hydrologic cycle of bogs environment with perched water tables, as well as distinct hydrologic dynamics and vegetation communities of the raised hummock and sunken hollow microtopography characteristic of SPRUCE and other peatland bogs. The modified model was parameterized and independently evaluated against observations from an ombrotrophic raised-dome bog in northern Minnesota (S1-Bog), the site for the Spruce and Peatland Responses Under Climatic and Environmental Change experiment (SPRUCE).

Grid Computing for Earth Science

NASA Astrophysics Data System (ADS)

Renard, Philippe; Badoux, Vincent; Petitdidier, Monique; Cossu, Roberto

2009-04-01

The fundamental challenges facing humankind at the beginning of the 21st century require an effective response to the massive changes that are putting increasing pressure on the environment and society. The worldwide Earth science community, with its mosaic of disciplines and players (academia, industry, national surveys, international organizations, and so forth), provides a scientific basis for addressing issues such as the development of new energy resources; a secure water supply; safe storage of nuclear waste; the analysis, modeling, and mitigation of climate changes; and the assessment of natural and industrial risks. In addition, the Earth science community provides short- and medium-term prediction of weather and natural hazards in real time, and model simulations of a host of phenomena relating to the Earth and its space environment. These capabilities require that the Earth science community utilize, both in real and remote time, massive amounts of data, which are usually distributed among many different organizations and data centers.

Using the Ecological Model to understand influences on college student vaping.

PubMed

Cheney, Marshall K; Gowin, Mary; Clawson, Ashley H

2018-02-16

Objective The Ecological Model was used to examine the social and environmental influences of the college environment on e-cigarette use (vaping) among college students. Undergraduate college student e-cigarette users (vapers) across three large college campuses in the southwest US from Jan 2015- Aug 2016. Thirty-three interviews were conducted. Transcribed interviews were coded then analyzed for themes. College student vapers report multiple levels of influence on their vaping beyond personal beliefs and peer influences, including parents, explicit campus and community messaging, community member requests, and respect for others. College student vapers also describe constant associations with smokers in allowable public places to vape. Parents, community members, campus policy, and the physical environment all influence where and when college students vape. Health communication messages to prevent college student vaping should incorporate alternative messages that are important to college students, such as respect for others and social image.

Toward a Model of Psychological Health Empowerment: Implications for Health Care in Multicultural Communities.

ERIC Educational Resources Information Center

Menon, Sanjay T.

2002-01-01

The context for health empowerment includes individuals, health providers, and the regulatory environment. Psychological health empowerment consists of perceived control, perceived competence, and goal internalization. In multicultural communities, barriers to empowerment include locus of control, access to health care, and language and cultural…

Saturating effects of species diversity on life-history evolution in bacteria.

PubMed

Fiegna, Francesca; Scheuerl, Thomas; Moreno-Letelier, Alejandra; Bell, Thomas; Barraclough, Timothy G

2015-09-22

Species interactions can play a major role in shaping evolution in new environments. In theory, species interactions can either stimulate evolution by promoting coevolution or inhibit evolution by constraining ecological opportunity. The relative strength of these effects should vary as species richness increases, and yet there has been little evidence for evolution of component species in communities. We evolved bacterial microcosms containing between 1 and 12 species in three different environments. Growth rates and yields of isolates that evolved in communities were lower than those that evolved in monocultures, consistent with recent theory that competition constrains species to specialize on narrower sets of resources. This effect saturated or reversed at higher levels of richness, consistent with theory that directional effects of species interactions should weaken in more diverse communities. Species varied considerably, however, in their responses to both environment and richness levels. Mechanistic models and experiments are now needed to understand and predict joint evolutionary dynamics of species in diverse communities. © 2015 The Authors.

An airport community noise-impact assessment model

NASA Technical Reports Server (NTRS)

Deloach, R.

1980-01-01

A computer model was developed to assess the noise impact of an airport on the community which it serves. Assessments are made using the Fractional Impact Method by which a single number describes the community aircraft noise environment in terms of exposed population and multiple event noise level. The model is comprised of three elements: a conventional noise footprint model, a site specific population distribution model, and a dose response transfer function. The footprint model provides the noise distribution for a given aircraft operating scenario. This is combined with the site specific population distribution obtained from a national census data base to yield the number of residents exposed to a given level of noise. The dose response relationship relates noise exposure levels to the percentage of individuals highly annoyed by those levels.

An Exploration of the Effect of Community Engagement in Research on Perceived Outcomes of Partnered Mental Health Services Projects*

PubMed Central

Khodyakov, Dmitry; Stockdale, Susan; Jones, Felica; Ohito, Elizabeth; Jones, Andrea; Lizaola, Elizabeth; Mango, Joseph

2011-01-01

Mental health research projects address sensitive issues for vulnerable populations and are implemented in complex environments. Community-Based Participatory Research approaches are recommended for health research on vulnerable populations, but little is known about how variation in participation affects outcomes of partnered research projects. We developed a conceptual model demonstrating the impact of community engagement in research on outcomes of partnered projects. We collected data on key constructs from community and academic leaders of 21 sampled partnered research projects in two cycles of an NIMH research center. We conducted empirical analyses to test the model. Our findings suggest that community engagement in research is positively associated with perceived professional development, as well as political and community impact. PMID:22582144

[Intervention of Schizophrenia From the Community Model].

PubMed

Taborda Zapata, Eliana María; Montoya González, Laura Elisa; Gómez Sierra, Natalia María; Arteaga Morales, Laura María; Correa Rico, Oscar Andrés

2016-01-01

Schizophrenia is a complex disease for which pharmacological management is an insufficient therapeutic measure to ensure adaptation to the community and restoring the quality of life of the patient, with a multidimensional management and community interventions being necessary. Case report. This case report illustrates a multidisciplinary treatment response, based on a community care model for mental health from Envigado, Colombia. The management of schizophrenia requires multimodal interventions that include community screening, psychoeducation of individuals, their families and society, addressing different areas of operation that allow adaptation of the subject to his social environment. A integrated intervention that can be provided on a Community scale, with the implementation of policies that allow it to be applied. Copyright © 2015 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

Microbial Communities Model Parameter Calculation for TSPA/SR

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

D. Jolley

2001-07-16

This calculation has several purposes. First the calculation reduces the information contained in ''Committed Materials in Repository Drifts'' (BSC 2001a) to useable parameters required as input to MING V1.O (CRWMS M&O 1998, CSCI 30018 V1.O) for calculation of the effects of potential in-drift microbial communities as part of the microbial communities model. The calculation is intended to replace the parameters found in Attachment II of the current In-Drift Microbial Communities Model revision (CRWMS M&O 2000c) with the exception of Section 11-5.3. Second, this calculation provides the information necessary to supercede the following DTN: M09909SPAMING1.003 and replace it with a newmore » qualified dataset (see Table 6.2-1). The purpose of this calculation is to create the revised qualified parameter input for MING that will allow {Delta}G (Gibbs Free Energy) to be corrected for long-term changes to the temperature of the near-field environment. Calculated herein are the quadratic or second order regression relationships that are used in the energy limiting calculations to potential growth of microbial communities in the in-drift geochemical environment. Third, the calculation performs an impact review of a new DTN: M00012MAJIONIS.000 that is intended to replace the currently cited DTN: GS9809083 12322.008 for water chemistry data used in the current ''In-Drift Microbial Communities Model'' revision (CRWMS M&O 2000c). Finally, the calculation updates the material lifetimes reported on Table 32 in section 6.5.2.3 of the ''In-Drift Microbial Communities'' AMR (CRWMS M&O 2000c) based on the inputs reported in BSC (2001a). Changes include adding new specified materials and updating old materials information that has changed.« less

Community stress and social and technological change: a framework for interpreting the behavior of social movements and community action groups

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

Perry, R.W.; Schuller, C.R.; Lindell, M.K.

1980-06-01

The purpose of this report is to provide a comprehensive examination of existing research on community organizations and community political systems. These findings will be integrated into a framework for understanding the variety of social and political responses which may be manifest in small communities facing the prospect of hosting a major nuclear facility. The principal focus is on the formation and behavior of social groups in communities, particularly politically oriented social movements or community action groups. This analysis is set on the context of a community experiencing social stress. Most of the discussion which follows is based on anmore » extrapolation from the large body of reseach literature on the topics in sociology, political science, and psychology. Chapter I examines the community political systems which are the arena in which local action groups will operate. Chapter II focuses on the internal conditions necessary for the formation and maintenance of community action groups. Chapter III reviews the research literature on the social environment of organizations in communities and the external conditions which are necessary to maintain organizations over time. Chapter IV develops a logic whereby the community consensus model can be adopted to particular social movement organizations and community actions groups. Chapter V examines changes in aspects of the environment which can be a function of the operation of movement organizations, and changes in the structure and tactics of movement organizations which appear to be a response to the environment.« less

Characterizing photosynthesis and transpiration of plant communities in controlled environments

NASA Technical Reports Server (NTRS)

Monje, O.; Bugbee, B.

1996-01-01

CO2 and water vapor fluxes of hydroponically grown wheat and soybean canopies were measured continuously in several environments with an open gas exchange system. Canopy CO2 fluxes reflect the photosynthetic efficiency of a plant community, and provide a record of plant growth and health. There were significant diurnal fluctuations in root and shoot CO2 fluxes, and in shoot water vapor fluxes. Canopy stomatal conductance (Gc) to water vapor was calculated from simultaneous measurements of canopy temperature (Tcan) and transpiration rates (Tr). Tr in the dark was substantial, and there were large diurnal fluctuations in both Gc and Tr. Canopy net Photosynthesis (Pnet), Tr, and Gc increased with increasing net radiation. Gc increased with Tr, suggesting that the stomata of plants in controlled environments (CEs) behave differently from field-grown plants. A transpiration model based on measurements of Gc was developed for CEs. The model accurately predicted Tr from a soybean canopy.

Ecological communities with Lotka-Volterra dynamics

NASA Astrophysics Data System (ADS)

Bunin, Guy

2017-04-01

Ecological communities in heterogeneous environments assemble through the combined effect of species interaction and migration. Understanding the effect of these processes on the community properties is central to ecology. Here we study these processes for a single community subject to migration from a pool of species, with population dynamics described by the generalized Lotka-Volterra equations. We derive exact results for the phase diagram describing the dynamical behaviors, and for the diversity and species abundance distributions. A phase transition is found from a phase where a unique globally attractive fixed point exists to a phase where multiple dynamical attractors exist, leading to history-dependent community properties. The model is shown to possess a symmetry that also establishes a connection with other well-known models.

Ecological communities with Lotka-Volterra dynamics.

PubMed

Bunin, Guy

2017-04-01

Ecological communities in heterogeneous environments assemble through the combined effect of species interaction and migration. Understanding the effect of these processes on the community properties is central to ecology. Here we study these processes for a single community subject to migration from a pool of species, with population dynamics described by the generalized Lotka-Volterra equations. We derive exact results for the phase diagram describing the dynamical behaviors, and for the diversity and species abundance distributions. A phase transition is found from a phase where a unique globally attractive fixed point exists to a phase where multiple dynamical attractors exist, leading to history-dependent community properties. The model is shown to possess a symmetry that also establishes a connection with other well-known models.

Mental Models: Knowledge in the Head and Knowledge in the World.

ERIC Educational Resources Information Center

Jonassen, David H.; Henning, Philip

1999-01-01

Explores the utility of mental models as learning outcomes in using complex and situated learning environments. Describes two studies: one aimed at eliciting mental models in the heads of novice refrigeration technicians, and the other an ethnographic study eliciting knowledge and models within the community of experienced refrigeration…

A Community Framework for Integrative, Coupled Modeling of Human-Earth Systems

NASA Astrophysics Data System (ADS)

Barton, C. M.; Nelson, G. C.; Tucker, G. E.; Lee, A.; Porter, C.; Ullah, I.; Hutton, E.; Hoogenboom, G.; Rogers, K. G.; Pritchard, C.

2017-12-01

We live today in a humanized world, where critical zone dynamics are driven by coupled human and biophysical processes. First generation modeling platforms have been invaluable in providing insight into dynamics of biophysical systems and social systems. But to understand today's humanized planet scientifically and to manage it sustainably, we need integrative modeling of this coupled human-Earth system. To address both scientific and policy questions, we also need modeling that can represent variable combinations of human-Earth system processes at multiple scales. Simply adding more code needed to do this to large, legacy first generation models is impractical, expensive, and will make them even more difficult to evaluate or understand. We need an approach to modeling that mirrors and benefits from the architecture of the complexly coupled systems we hope to model. Building on a series of international workshops over the past two years, we present a community framework to enable and support an ecosystem of diverse models as components that can be interconnected as needed to facilitate understanding of a range of complex human-earth systems interactions. Models are containerized in Docker to make them platform independent. A Basic Modeling Interface and Standard Names ontology (developed by the Community Surface Dynamics Modeling System) is applied to make them interoperable. They are then transformed into RESTful micro-services to allow them to be connected and run in a browser environment. This enables a flexible, multi-scale modeling environment to help address diverse issues with combinations of smaller, focused, component models that are easier to understand and evaluate. We plan to develop, deploy, and maintain this framework for integrated, coupled modeling in an open-source collaborative development environment that can democratize access to advanced technology and benefit from diverse global participation in model development. We also present an initial proof-of-concept of this framework, coupling a widely used agricultural crop model (DSSAT) with a widely used hydrology model (TopoFlow).

Community Audit of Social, Civil, and Activity Domains in Diverse Environments (CASCADDE)

PubMed Central

Knapp, Emily A.; Nau, Claudia; Brandau, Sy; DeWalle, Joseph; Hirsch, Annemarie G.; Bailey-Davis, Lisa; Schwartz, Brian S.; Glass, Thomas A.

2017-01-01

There are currently no direct observation environmental audit tools that measure diverse aspects of the obesity-related environment efficiently and reliably in a variety of geographical settings. The goal was to develop a new instrument to reliably characterize the overall properties and features of rural, suburban, and urban settings along multiple dimensions. The Community Audit of Social, Civil, and Activity Domains in Diverse Environments (CASCADDE) is an iPad-based instrument that incorporates global positioning system coordinates and photography and is comprised of 214 items yielding 7 summary indices. A comprehensive spatial sampling strategy, training manual, and supporting data analysis code were also developed. Random geospatial sampling using GIS was used to captured features of the community as a whole. A single auditor collected 510 observation points in 30 communities (2013–2015). This analysis was done in 2015–2016. Correlation coefficients were used to compare items and indices to each other and to standard measures. Multilevel unconditional means models were used to calculate intraclass correlation coefficients (ICC) to determine if there was significant variation between communities. Results suggest that CASCADDE measures aspects of communities not previously captured by secondary data sources. Additionally, 7 summary indices capture meaningful differences between communities based on 15 observations per community. Community audit tools such as CASCADDE complement secondary data sources and have the potential to offer new insights about the mechanisms through which communities affect obesity and other health outcomes. PMID:28209283

Community Audit of Social, Civil, and Activity Domains in Diverse Environments (CASCADDE).

PubMed

Knapp, Emily A; Nau, Claudia; Brandau, Sy; DeWalle, Joseph; Hirsch, Annemarie G; Bailey-Davis, Lisa; Schwartz, Brian S; Glass, Thomas A

2017-04-01

There are currently no direct observation environmental audit tools that measure diverse aspects of the obesity-related environment efficiently and reliably in a variety of geographic settings. The goal was to develop a new instrument to reliably characterize the overall properties and features of rural, suburban, and urban settings along multiple dimensions. The Community Audit of Social, Civil, and Activity Domains in Diverse Environments (CASCADDE) is an iPad-based instrument that incorporates GPS coordinates and photography and comprises 214 items yielding seven summary indices. A comprehensive spatial sampling strategy, training manual, and supporting data analysis code were also developed. Random geospatial sampling using GIS was used to capture features of the community as a whole. A single auditor collected 510 observation points in 30 communities (2013-2015). This analysis was done in 2015-2016. Correlation coefficients were used to compare items and indices to each other and to standard measures. Multilevel unconditional means models were used to calculate intraclass correlation coefficients to determine if there was significant variation between communities. Results suggest that CASCADDE measures aspects of communities not previously captured by secondary data sources. Additionally, seven summary indices capture meaningful differences between communities based on 15 observations per community. Community audit tools such as CASCADDE complement secondary data sources and have the potential to offer new insights about the mechanisms through which communities affect obesity and other health outcomes. Copyright © 2017 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

A JavaScript API for the Ice Sheet System Model (ISSM) 4.11: towards an online interactive model for the cryosphere community

NASA Astrophysics Data System (ADS)

Larour, Eric; Cheng, Daniel; Perez, Gilberto; Quinn, Justin; Morlighem, Mathieu; Duong, Bao; Nguyen, Lan; Petrie, Kit; Harounian, Silva; Halkides, Daria; Hayes, Wayne

2017-12-01

Earth system models (ESMs) are becoming increasingly complex, requiring extensive knowledge and experience to deploy and use in an efficient manner. They run on high-performance architectures that are significantly different from the everyday environments that scientists use to pre- and post-process results (i.e., MATLAB, Python). This results in models that are hard to use for non-specialists and are increasingly specific in their application. It also makes them relatively inaccessible to the wider science community, not to mention to the general public. Here, we present a new software/model paradigm that attempts to bridge the gap between the science community and the complexity of ESMs by developing a new JavaScript application program interface (API) for the Ice Sheet System Model (ISSM). The aforementioned API allows cryosphere scientists to run ISSM on the client side of a web page within the JavaScript environment. When combined with a web server running ISSM (using a Python API), it enables the serving of ISSM computations in an easy and straightforward way. The deep integration and similarities between all the APIs in ISSM (MATLAB, Python, and now JavaScript) significantly shortens and simplifies the turnaround of state-of-the-art science runs and their use by the larger community. We demonstrate our approach via a new Virtual Earth System Laboratory (VESL) website (http://vesl.jpl.nasa.gov, VESL(2017)).

A Comparative Case Study Analysis of Administrators Perceptions on the Adaptation of Quality and Continuous Improvement Tools to Community Colleges in the State of Michigan

ERIC Educational Resources Information Center

Mattis, Ted B.

2011-01-01

The purpose of this study was to determine whether community college administrators in the state of Michigan believe that commonly known quality and continuous improvement tools, prevalent in a manufacturing environment, can be adapted to a community college model. The tools, specifically Six Sigma, benchmarking and process mapping have played a…

Role of Sectoral Transformation in Evolution of Water Management in Agricultural Catchments: A Socio-hydrologic Analysis

NASA Astrophysics Data System (ADS)

Roobavannan, Mahendran; Kandasamy, Jaya; Pande, Saket; Vigneswaran, Saravanamuthu; Sivapalan, Murugesu

2017-04-01

Sustainable development in society depends on an understanding of how communities interact with the natural system and how they co-evolve in time. Increasingly the livelihood and future viability of agricultural communities are being threatened by competition for water between food production and the environment. This study focused on this water-agriculture-environment nexus as it played out in the Murrumbidgee River Basin, Australia, and how co-evolution of society and water management occurred. Over 100 years of agricultural development the Murrumbidgee Basin has experienced a "pendulum swing" in terms of water allocation entirely to agriculture production at the expense of the environment, and eventually to the reallocation of water back to the environment. This pendulum swing has been attributed to a combination of increased national wealth, reduced share of agriculture in the national GDP, and to increased environment awareness of environmental degradation. Environment awareness depends on the structure of the economy, education, and socio-politic structure. As the basin economy develops accompanied by sectoral transformation, basin production becomes increasingly dependent on the industry sector. A loss of economic dependence on agriculture leads to a lower emphasis on the need to allocate water to agriculture. Society's value and preference turns around and is motivated towards the protection of the ecosystem. We hypothesize that in the competition of water use between economic livelihood and environment well being of society, economic diversification pushed the balance in towards the environment. In order to test this hypothesis, we developed a coupled socio-hydrologic model, which explicitly considers bi-directional feedbacks between human and water systems to explore how the competition for water played out in the Murrumbidgee. We demonstrate this by linking the dynamics of the economy of the whole (agriculture and industry) to community sentiment for the environment and to water allocation. The model captured the changing value and preference, threshold dynamics, changing water management and showed the importance of sectoral transformation in water management. The modeling showed that as agriculture became constrained by water reallocation to restore ecosystem health, the community coped with the transition through the sectoral transformation to the industry sector and out-migration of basin residents. The dynamics observed in the Murrumbidgee River basin highlights how the transformation of the basin economy influenced sustainable development, mitigated adverse economic outcomes and enabled society to transition with the implementation of water management decisions that increasingly favored the environment.

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

NASA Astrophysics Data System (ADS)

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

2007-12-01

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

Cognitive Presence and Effect of Immersion in Virtual Learning Environment

ERIC Educational Resources Information Center

Katernyak, Ihor; Loboda, Viktoriya

2016-01-01

This paper presents the approach to successful application of two knowledge management techniques--community of practice and eLearning, in order to create and manage a competence-developing virtual learning environment. It explains how "4A" model of involving practitioners in eLearning process (through attention, actualization,…

IT Workforce Development: A Family and Consumer Sciences Community Capacity Model

ERIC Educational Resources Information Center

Meszaros, Peggy S.; Kimbrell, Monica R.; Swenson, Andrea

2015-01-01

This article examines Extension professionals building community capacity in 10 counties across five Appalachian states in response to the talent crisis in the United States information technology (IT) workforce. The goal has been to transfer IT knowledge and create a supportive environment to foster interest in IT careers among underserved girls…

Component Exchange Community: A Model of Utilizing Research Components to Foster International Collaboration

ERIC Educational Resources Information Center

Deng, Yi-Chan; Lin, Taiyu; Kinshuk; Chan, Tak-Wai

2006-01-01

"One-to-one" technology enhanced learning research refers to the design and investigation of learning environments and learning activities where every learner is equipped with at least one portable computing device enabled by wireless capability. G1:1 is an international research community coordinated by a network of laboratories conducting…

Greenwich Township Environmental Analysis: A Field Study 1972-74.

ERIC Educational Resources Information Center

Bahorik, J. Wesley, Ed.

This project attempted to develop a baseline on which the community could assess its own local environment. The objectives of the study include developing a list of references and resources, developing an assessment model for community use, composing an environmental quality index, determining areas to be protected and persuading decision-making…

Voices of Parolees Attending Community College: Helping Individuals and Society

ERIC Educational Resources Information Center

Potts, Kristi S.; Bierlein Palmer, Louann

2014-01-01

As one of the few qualitative studies on this topic, this phenomenological study examined how parolees experience participation in a community college reentry program. One-on-one interviews were conducted with 11 parolee college students. Major themes found that parolees enjoy the college environment and that they have become role models for their…

When a community hospital becomes an academic health centre.

PubMed

Topps, Maureen; Strasser, Roger

2010-01-01

With the burgeoning role of distributed medical education and the increasing use of community hospitals for training purposes, challenges arise for undergraduate and postgraduate programs expanding beyond traditional tertiary care models. It is of vital importance to encourage community hospitals and clinical faculty to embrace their roles in medical education for the 21st century. With no university hospitals in northern Ontario, the Northern Ontario School of Medicine and its educational partner hospitals identified questions of concern and collaborated to implement changes. Several themes emerged that are of relevance to any medical educational program expanding beyond its present location. Critical areas for attention include the institutional culture; human, physical and financial resources; and support for educational activities. It is important to establish and maintain the groundwork necessary for the development of thriving integrated community-engaged medical education. Done in tandem with advocacy for change in funding models, this will allow movement beyond the current educational environment. The ultimate goal is successful integration of university and accreditation ideals with practical hands-on medical care and education in new environments.

Merging Social Networking Environments and Formal Learning Environments to Support and Facilitate Interprofessional Instruction

PubMed Central

King, Sharla; Greidanus, Elaine; Carbonaro, Michael; Drummond, Jane; Patterson, Steven

2009-01-01

This study describes the redesign of an interprofessional team development course for health science students. A theoretical model is hypothesized as a framework for the redesign process, consisting of two themes: 1) the increasing trend among post-secondary students to participate in social networking (e.g., Facebook, Second Life) and 2) the need for healthcare educators to provide interprofessional training that results in effective communities of practice and better patient care. The redesign focused on increasing the relevance of the course through the integration of custom-designed technology to facilitate social networking during their interprofessional education. Results suggest that students in an educationally structured social networking environment can be guided to join learning communities quickly and access course materials. More research and implementation work is required to effectively develop interprofessional health sciences communities in a combined face-to-face and on-line social networking context. PMID:20165519

Merging social networking environments and formal learning environments to support and facilitate interprofessional instruction.

PubMed

King, Sharla; Greidanus, Elaine; Carbonaro, Michael; Drummond, Jane; Patterson, Steven

2009-04-28

This study describes the redesign of an interprofessional team development course for health science students. A theoretical model is hypothesized as a framework for the redesign process, consisting of two themes: 1) the increasing trend among post-secondary students to participate in social networking (e.g., Facebook, Second Life) and 2) the need for healthcare educators to provide interprofessional training that results in effective communities of practice and better patient care. The redesign focused on increasing the relevance of the course through the integration of custom-designed technology to facilitate social networking during their interprofessional education. Results suggest that students in an educationally structured social networking environment can be guided to join learning communities quickly and access course materials. More research and implementation work is required to effectively develop interprofessional health sciences communities in a combined face-to-face and on-line social networking context.

Impacts of fast food and the food retail environment on overweight and obesity in China: a multilevel latent class cluster approach.

PubMed

Zhang, Xiaoyong; van der Lans, Ivo; Dagevos, Hans

2012-01-01

To simultaneously identify consumer segments based on individual-level consumption and community-level food retail environment data and to investigate whether the segments are associated with BMI and dietary knowledge in China. A multilevel latent class cluster model was applied to identify consumer segments based not only on their individual preferences for fast food, salty snack foods, and soft drinks and sugared fruit drinks, but also on the food retail environment at the community level. The data came from the China Health and Nutrition Survey (CHNS) conducted in 2006 and two questionnaires for adults and communities were used. A total sample of 9788 adults living in 218 communities participated in the CHNS. We successfully identified four consumer segments. These four segments were embedded in two types of food retail environment: the saturated food retail environment and the deprived food retail environment. A three-factor solution was found for consumers' dietary knowledge. The four consumer segments were highly associated with consumers' dietary knowledge and a number of sociodemographic variables. The widespread discussion about the relationships between fast-food consumption and overweight/obesity is irrelevant for Chinese segments that do not have access to fast food. Factors that are most associated with segments with a higher BMI are consumers' (incorrect) dietary knowledge, the food retail environment and sociodemographics. The results provide valuable insight for policy interventions on reducing overweight/obesity in China. This study also indicates that despite the breathtaking changes in modern China, the impact of 'obesogenic' environments should not be assessed too strictly from a 'Western' perspective.

Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism

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

Graham, Emily B.; Crump, Alex R.; Resch, Charles T.

Community assembly processes govern shifts in species abundances in response to environmental change, yet our understanding of assembly remains largely decoupled from ecosystem function. Here, we test hypotheses regarding assembly and function across space and time using hyporheic microbial communities as a model system. We pair sampling of two habitat types through hydrologic fluctuation with null modeling and multivariate statistics. We demonstrate that dual selective pressures assimilate to generate compositional changes at distinct timescales among habitat types, resulting in contrasting associations of Betaproteobacteria and Thaumarchaeota with selection and with seasonal changes in aerobic metabolism. Our results culminate in a conceptualmore » model in which selection from contrasting environments regulates taxon abundance and ecosystem function through time, with increases in function when oscillating selection opposes stable selective pressures. Our model is applicable within both macrobial and microbial ecology and presents an avenue for assimilating community assembly processes into predictions of ecosystem function.« less

Primary assembly of soil communities: disentangling the effect of dispersal and local environment.

PubMed

Ingimarsdóttir, María; Caruso, Tancredi; Ripa, Jörgen; Magnúsdóttir, Olöf Birna; Migliorini, Massimo; Hedlund, Katarina

2012-11-01

It has long been recognised that dispersal abilities and environmental factors are important in shaping invertebrate communities, but their relative importance for primary soil community assembly has not yet been disentangled. By studying soil communities along chronosequences on four recently emerged nunataks (ice-free land in glacial areas) in Iceland, we replicated environmental conditions spatially at various geographical distances. This allowed us to determine the underlying factors of primary community assembly with the help of metacommunity theories that predict different levels of dispersal constraints and effects of the local environment. Comparing community assembly of the nunataks with that of non-isolated deglaciated areas indicated that isolation of a few kilometres did not affect the colonisation of the soil invertebrates. When accounting for effects of geographical distances, soil age and plant richness explained a significant part of the variance observed in the distribution of the oribatid mites and collembola communities, respectively. Furthermore, null model analyses revealed less co-occurrence than expected by chance and also convergence in the body size ratio of co-occurring oribatids, which is consistent with species sorting. Geographical distances influenced species composition, indicating that the community is also assembled by dispersal, e.g. mass effect. When all the results are linked together, they demonstrate that local environmental factors are important in structuring the soil community assembly, but are accompanied with effects of dispersal that may "override" the visible effect of the local environment.

NUNOA: a computer simulator of individuals, families, and extended families of the high-altitude Quechua

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

Brandt, C.C.; Weinstein, D.A.; Shugart, H.H.

1980-10-01

The Quechua Indians of the Peruvian Andes are an example of a human population which has developed special cultural adaptations to deal with hypocaloric stress imposed by a harsh environment. A highly detailed human ecosystem model, NUNOA, which simulates the yearly energy balance of individuals, families, and extended families in a hypothetical farming and herding Quechua community of the high Andes was developed. Unlike most population models which use sets of differential equations in which individuals are aggregated into groups, this model considers the response of each individual to a stochastic environment. The model calculates the yearly energy demand formore » each family based on caloric requirements of its members. For each family, the model simulates the cultivation of seven different crops and the impact of precipitation, temperature, and disease on yield. Herding, slaughter, and market sales of three different animal species are also simulated. Any energy production in excess of the family's energy demand is placed into extended family storage for possible redistribution. A family failing to meet their annual energy demand may slaughter additional herd animals, temporarily migrate from the community, or borrow food from the extended family storage. The energy balance is used in determining births, deaths, marriages, and resource sharing in the Indian community. In addition, the model maintains a record of each individual's ancestry as well as seven genetic traits for use in tracing lineage and gene flow. The model user has the opportunity to investigate the effect of changes in marriage patterns, resource sharing patterns, or subsistence activities on the ability of the human population to survive in the harsh Andean environment. In addition, the user may investigate the impact of external technology on the Indian culture.« less

A Cultural Resources Survey of Steele, New Franklin, and Main Ditches, and National Register of Historic Places Significance Testing of Sites 2PM574, 575, 577, and 23PM578, Pemiscot County Missouri

DTIC Science & Technology

1990-07-15

last successional stage plant communities. Research using soils and plant communities to model prehistoric occupation in northeast Arkansas (Dekin et al...floods) since their formation. Levee/Swamp Ecotone This modeled macrobiotic coimmunity is what Lewis (1974:24-25) has called the Sweetgum-Elm-Cypress...especially cypress, would have been exploitable in this environment with land- based technology. 15 Included in these modeled strata are the different

Initial Efforts in Characterizing Radiation and Plasma Effects on Space Assets: Bridging the Space Environment, Engineering and User Community

NASA Astrophysics Data System (ADS)

Zheng, Y.; Ganushkina, N. Y.; Guild, T. B.; Jiggens, P.; Jun, I.; Mazur, J. E.; Meier, M. M.; Minow, J. I.; Pitchford, D. A.; O'Brien, T. P., III; Shprits, Y.; Tobiska, W. K.; Xapsos, M.; Rastaetter, L.; Jordanova, V. K.; Kellerman, A. C.; Fok, M. C. H.

2017-12-01

The Community Coordinated Modeling Center (CCMC) has been leading the community-wide model validation projects for many years. Such effort has been broadened and extended via the newly-launched International Forum for Space Weather Modeling Capabilities Assessment (https://ccmc.gsfc.nasa.gov/assessment/), Its objective is to track space weather models' progress and performance over time, which is critically needed in space weather operations. The Radiation and Plasma Effects Working Team is working on one of the many focused evaluation topics and deals with five different subtopics: Surface Charging from 10s eV to 40 keV electrons, Internal Charging due to energetic electrons from hundreds keV to several MeVs. Single Event Effects from solar energetic particles (SEPs) and galactic cosmic rays (GCRs) (several MeV to TeVs), Total Dose due to accumulation of doses from electrons (>100 KeV) and protons (> 1 MeV) in a broad energy range, and Radiation Effects from SEPs and GCRs at aviation altitudes. A unique aspect of the Radiation and Plasma Effects focus area is that it bridges the space environments, engineering and user community. This presentation will summarize the working team's progress in metrics discussion/definition and the CCMC web interface/tools to facilitate the validation efforts. As an example, tools in the areas of surface charging/internal charging will be demoed.

Social Integration in a Community College Environment

ERIC Educational Resources Information Center

Mertes, Scott J.

2015-01-01

Among current retention models, Tinto's Interactionalist Model has reached near paradigmatic status. When his model has been applied to two-year college settings, the social integration results have been inconsistent. This has led Maxwell (2000) and Deil-Amen (2011) to suggest that a different construct of social integration exists in community…

Counteraction of antibiotic production and degradation stabilizes microbial communities

PubMed Central

Kelsic, Eric D.; Zhao, Jeffrey; Vetsigian, Kalin; Kishony, Roy

2015-01-01

Summary A major challenge in theoretical ecology is understanding how natural microbial communities support species diversity1-8, and in particular how antibiotic producing, sensitive and resistant species coexist9-15. While cyclic “rock-paper-scissors” interactions can stabilize communities in spatial environments9-11, coexistence in unstructured environments remains an enigma12,16. Here, using simulations and analytical models, we show that the opposing actions of antibiotic production and degradation enable coexistence even in well-mixed environments. Coexistence depends on 3-way interactions where an antibiotic degrading species attenuates the inhibitory interactions between two other species. These 3-way interactions enable coexistence that is robust to substantial differences in inherent species growth rates and to invasion by “cheating” species that cease producing or degrading antibiotics. At least two antibiotics are required for stability, with greater numbers of antibiotics enabling more complex communities and diverse dynamical behaviors ranging from stable fixed-points to limit cycles and chaos. Together, these results show how multi-species antibiotic interactions can generate ecological stability in both spatial and mixed microbial communities, suggesting strategies for engineering synthetic ecosystems and highlighting the importance of toxin production and degradation for microbial biodiversity. PMID:25992546

Using evaluation to adapt health information outreach to the complex environments of community-based organizations.

PubMed

Olney, Cynthia A

2005-10-01

After arguing that most community-based organizations (CBOs) function as complex adaptive systems, this white paper describes the evaluation goals, questions, indicators, and methods most important at different stages of community-based health information outreach. This paper presents the basic characteristics of complex adaptive systems and argues that the typical CBO can be considered this type of system. It then presents evaluation as a tool for helping outreach teams adapt their outreach efforts to the CBO environment and thus maximize success. Finally, it describes the goals, questions, indicators, and methods most important or helpful at each stage of evaluation (community assessment, needs assessment and planning, process evaluation, and outcomes assessment). Literature from complex adaptive systems as applied to health care, business, and evaluation settings is presented. Evaluation models and applications, particularly those based on participatory approaches, are presented as methods for maximizing the effectiveness of evaluation in dynamic CBO environments. If one accepts that CBOs function as complex adaptive systems-characterized by dynamic relationships among many agents, influences, and forces-then effective evaluation at the stages of community assessment, needs assessment and planning, process evaluation, and outcomes assessment is critical to outreach success.

Developing rural palliative care: validating a conceptual model.

PubMed

Kelley, Mary Lou; Williams, Allison; DeMiglio, Lily; Mettam, Hilary

2011-01-01

The purpose of this research was to validate a conceptual model for developing palliative care in rural communities. This model articulates how local rural healthcare providers develop palliative care services according to four sequential phases. The model has roots in concepts of community capacity development, evolves from collaborative, generalist rural practice, and utilizes existing health services infrastructure. It addresses how rural providers manage challenges, specifically those related to: lack of resources, minimal community understanding of palliative care, health professionals' resistance, the bureaucracy of the health system, and the obstacles of providing services in rural environments. Seven semi-structured focus groups were conducted with interdisciplinary health providers in 7 rural communities in two Canadian provinces. Using a constant comparative analysis approach, focus group data were analyzed by examining participants' statements in relation to the model and comparing emerging themes in the development of rural palliative care to the elements of the model. The data validated the conceptual model as the model was able to theoretically predict and explain the experiences of the 7 rural communities that participated in the study. New emerging themes from the data elaborated existing elements in the model and informed the requirement for minor revisions. The model was validated and slightly revised, as suggested by the data. The model was confirmed as being a useful theoretical tool for conceptualizing the development of rural palliative care that is applicable in diverse rural communities.

Resilience and receptivity worked in tandem to sustain a geothermal mat community amidst erratic environmental conditions.

PubMed

Ghosh, Wriddhiman; Roy, Chayan; Roy, Rimi; Nilawe, Pravin; Mukherjee, Ambarish; Haldar, Prabir Kumar; Chauhan, Neeraj Kumar; Bhattacharya, Sabyasachi; Agarwal, Atima; George, Ashish; Pyne, Prosenjit; Mandal, Subhrangshu; Rameez, Moidu Jameela; Bala, Goutam

2015-07-17

To elucidate how geothermal irregularities affect the sustainability of high-temperature microbiomes we studied the synecological dynamics of a geothermal microbial mat community (GMMC) vis-à-vis fluctuations in its environment. Spatiotemporally-discrete editions of a photosynthetic GMMC colonizing the travertine mound of a circum-neutral hot spring cluster served as the model-system. In 2010 a strong geyser atop the mound discharged mineral-rich hot water, which nourished a GMMC continuum from the proximal channels (PC) upto the slope environment (SE) along the mound's western face. In 2011 that geyser extinguished and consequently the erstwhile mats disappeared. Nevertheless, two relatively-weaker vents erupted in the southern slope and their mineral-poor outflow supported a small GMMC patch in the SE. Comparative metagenomics showed that this mat was a relic of the 2010 community, conserved via population dispersal from erstwhile PC as well as SE niches. Subsequently in 2012, as hydrothermal activity augmented in the southern slope, ecological niches widened and the physiologically-heterogeneous components of the 2011 "seed-community" split into PC and SE meta-communities, thereby reclaiming either end of the thermal gradient. Resilience of incumbent populations, and the community's receptiveness towards immigrants, were the key qualities that ensured the GMMC's sustenance amidst habitat degradation and dispersal to discrete environments.

Running climate model on a commercial cloud computing environment: A case study using Community Earth System Model (CESM) on Amazon AWS

NASA Astrophysics Data System (ADS)

Chen, Xiuhong; Huang, Xianglei; Jiao, Chaoyi; Flanner, Mark G.; Raeker, Todd; Palen, Brock

2017-01-01

The suites of numerical models used for simulating climate of our planet are usually run on dedicated high-performance computing (HPC) resources. This study investigates an alternative to the usual approach, i.e. carrying out climate model simulations on commercially available cloud computing environment. We test the performance and reliability of running the CESM (Community Earth System Model), a flagship climate model in the United States developed by the National Center for Atmospheric Research (NCAR), on Amazon Web Service (AWS) EC2, the cloud computing environment by Amazon.com, Inc. StarCluster is used to create virtual computing cluster on the AWS EC2 for the CESM simulations. The wall-clock time for one year of CESM simulation on the AWS EC2 virtual cluster is comparable to the time spent for the same simulation on a local dedicated high-performance computing cluster with InfiniBand connections. The CESM simulation can be efficiently scaled with the number of CPU cores on the AWS EC2 virtual cluster environment up to 64 cores. For the standard configuration of the CESM at a spatial resolution of 1.9° latitude by 2.5° longitude, increasing the number of cores from 16 to 64 reduces the wall-clock running time by more than 50% and the scaling is nearly linear. Beyond 64 cores, the communication latency starts to outweigh the benefit of distributed computing and the parallel speedup becomes nearly unchanged.

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

Deriving Tools from Real-Time Runs: A New CCMC Support for SEC and AFWA

NASA Technical Reports Server (NTRS)

Hesse, Michael; Rastatter, Lutz; MacNeice, Peter; Kuznetsova, Masha

2007-01-01

The Community Coordinated Modeling Center (CCMC) is a US inter-agency activity aiming at research in support of the generation of advanced space weather models. As one of its main functions, the CCMC provides to researchers the use of space science models, even if they are not model owners themselves. In particular, the CCMC provides to the research community the execution of "runs-on-request" for specific events of interest to space science researchers. Through this activity and the concurrent development of advanced visualization tools, CCMC provides, to the general science community, unprecedented access to a large number of state-of-the-art research models. CCMC houses models that cover the entire domain from the Sun to the Earth. In this presentation, we will provide an overview of CCMC modeling services that are available to support activities at the Space Environment Center, or at the Air Force Weather Agency.

A Working Model for Intercultural Learning and Engagement in Collaborative Online Language Learning Environments

ERIC Educational Resources Information Center

Lawrence, Geoff

2013-01-01

Given the emerging focus on the intercultural dimension in language teaching and learning, language educators have been exploring the use of information and communications technology ICT-mediated language learning environments to link learners in intercultural language learning communities around the globe. Despite the potential promise of…

From Data-Sharing to Model-Sharing: SCEC and the Development of Earthquake System Science (Invited)

NASA Astrophysics Data System (ADS)

Jordan, T. H.

2009-12-01

Earthquake system science seeks to construct system-level models of earthquake phenomena and use them to predict emergent seismic behavior—an ambitious enterprise that requires high degree of interdisciplinary, multi-institutional collaboration. This presentation will explore model-sharing structures that have been successful in promoting earthquake system science within the Southern California Earthquake Center (SCEC). These include disciplinary working groups to aggregate data into community models; numerical-simulation working groups to investigate system-specific phenomena (process modeling) and further improve the data models (inverse modeling); and interdisciplinary working groups to synthesize predictive system-level models. SCEC has developed a cyberinfrastructure, called the Community Modeling Environment, that can distribute the community models; manage large suites of numerical simulations; vertically integrate the hardware, software, and wetware needed for system-level modeling; and promote the interactions among working groups needed for model validation and refinement. Various socio-scientific structures contribute to successful model-sharing. Two of the most important are “communities of trust” and collaborations between government and academic scientists on mission-oriented objectives. The latter include improvements of earthquake forecasts and seismic hazard models and the use of earthquake scenarios in promoting public awareness and disaster management.

International Social Work Field Placement or Volunteer Tourism? Developing an Asset-Based Justice-Learning Field Experience

ERIC Educational Resources Information Center

Sossou, Marie-Antoinette; Dubus, Nicole

2013-01-01

This paper examines a developing model for building an international social work placement that meets the needs of the host agency and community first. The paper addresses the challenges for social work departments to develop a strong learning environment while also keeping primary the needs of the host community and agency.

Applying Customer Satisfaction Theory to Community College Planning of Counseling Services.

ERIC Educational Resources Information Center

Hom, Willard C.

2002-01-01

This article discusses a framework in which a researcher may apply a customer satisfaction model to the planning of counseling services at the community college level. It also reviews some historical work on satisfaction research with the unique environment of student services in two-year colleges. The article suggests that readers could benefit…

Role of land use planning in noise control

Treesearch

Stephanie J. Caswell; Karl Jakus

1977-01-01

A method for controlling outdoor noise through land use planning is presented. The method utilizes a computer model that broadly assesses the likely noise environments of a community on the basis of generalized land use and highway noise production and transmission conditions. The method is designed to enable town planners and other community decision-makers to...

Community Coordinated Modeling Center: Paving the Way for Progress in Space Science Research to Operational Space Weather Forecasting

NASA Astrophysics Data System (ADS)

Kuznetsova, M. M.; Maddox, M. M.; Mays, M. L.; Mullinix, R.; MacNeice, P. J.; Pulkkinen, A. A.; Rastaetter, L.; Shim, J.; Taktakishvili, A.; Zheng, Y.; Wiegand, C.

2013-12-01

Community Coordinated Modeling Center (CCMC) was established at the dawn of the millennium as an essential element on the National Space Weather Program. One of the CCMC goals was to pave the way for progress in space science research to operational space weather forecasting. Over the years the CCMC acquired the unique experience in preparing complex models and model chains for operational environment, in developing and maintaining powerful web-based tools and systems ready to be used by space weather service providers and decision makers as well as in space weather prediction capabilities assessments. The presentation will showcase latest innovative solutions for space weather research, analysis, forecasting and validation and review on-going community-wide initiatives enabled by CCMC applications.

An introduction to the healthy corner store intervention model in Canada.

PubMed

Mah, Catherine L; Minaker, Leia M; Jameson, Kristie; Rappaport, Lissie; Taylor, Krystal; Graham, Marketa; Moody, Natalie; Cook, Brian

2017-09-14

The majority of Canadians' food acquisition occurs in retail stores. Retail science has become increasingly sophisticated in demonstrating how consumer environments influence population-level diet quality and health status. The retail food environment literature is new but growing rapidly in Canada, and there is a relative paucity of evidence from intervention research implemented in Canada. The healthy corner store model is a comprehensive complex population health intervention in small retail stores, intended to transform an existing business model to a health-promoting one through intersectoral collaboration. Healthy corner store interventions typically involve conversions of existing stores with the participation of health, community, and business sector partners, addressing business fundamentals, merchandising, and consumer demand. This article introduces pioneering experiences with the healthy corner store intervention in Canada. First, we offer a brief overview of the state of evidence within and outside Canada. Second, we discuss three urban and one rural healthy corner store initiatives, led through partnerships among community food security organizations, public health units, academics, and business partners, in Manitoba, Ontario, and Newfoundland and Labrador. Third, we synthesize the promising practices from these local examples, including aspects of both intervention science (e.g., refinements in measuring the food environment) and community-based practice (e.g., dealing with unhealthy food items and economic impact for the retailer). This article will synthesize practical experiences with healthy corner stores in Canada. It offers a baseline assessment of promising aspects of this intervention for health and health equity, and identifies opportunities to strengthen both science and practice in this area of retail food environment work.

Operational Space Weather Needs - Perspectives from SEASONS 2014

NASA Astrophysics Data System (ADS)

Comberiate, J.; Kelly, M. A.; Paxton, L. J.; Schaefer, R. K.; Bust, G. S.; Sotirelis, T.; Fox, N. J.

2014-12-01

A key challenge for the operational space weather community is the gap between the latest scientific data, models, methods, and indices and those that are currently used in operational systems. The November 2014 SEASONS (Space Environment Applications, Systems, and Operations for National Security) Workshop at JHU/APL in Laurel, Maryland, brings together representatives from the operational and scientific communities. The theme of SEASONS 2014 is "Beyond Climatology," with a focus on how space weather events threaten operational assets and disrupt missions. Here we present perspectives from SEASONS 2014 on new observations, models in development, and forecasting methods that are of interest to the operational space weather community. Highlighted topics include ionospheric data assimilation and forecasting models, HF propagation models, radiation belt observations, and energetic particle modeling. The SEASONS 2014 web site can be found at https://secwww.jhuapl.edu/SEASONS/

Modeling Age-Friendly Environment, Active Aging, and Social Connectedness in an Emerging Asian Economy.

PubMed

Lai, Ming-Ming; Lein, Shi-Ying; Lau, Siok-Hwa; Lai, Ming-Ling

2016-01-01

This paper empirically tested eight key features of WHO guidelines to age-friendly community by surveying 211 informal caregivers and 402 self-care adults (aged 45 to 85 and above) in Malaysia. We examined the associations of these eight features with active aging and social connectedness through exploratory and confirmatory factor analyses. A structural model with satisfactory goodness-of-fit indices (CMIN/df = 1.11, RMSEA = 0.02, NFI = 0.97, TLI = 1.00, CFI = 1.00, and GFI = 0.96) indicates that transportation and housing, community support and health services, and outdoor spaces and buildings are statistically significant in creating an age-friendly environment. We found a statistically significant positive relationship between an age-friendly environment and active aging. This relationship is mediated by social connectedness. The results indicate that built environments such as accessible public transportations and housing, affordable and accessible healthcare services, and elderly friendly outdoor spaces and buildings have to be put into place before social environment in building an age-friendly environment. Otherwise, the structural barriers would hinder social interactions for the aged. The removal of the environmental barriers and improved public transportation services provide short-term solutions to meet the varied and growing needs of the older population.

Modeling Age-Friendly Environment, Active Aging, and Social Connectedness in an Emerging Asian Economy

PubMed Central

Lai, Ming-Ming; Lein, Shi-Ying; Lau, Siok-Hwa; Lai, Ming-Ling

2016-01-01

This paper empirically tested eight key features of WHO guidelines to age-friendly community by surveying 211 informal caregivers and 402 self-care adults (aged 45 to 85 and above) in Malaysia. We examined the associations of these eight features with active aging and social connectedness through exploratory and confirmatory factor analyses. A structural model with satisfactory goodness-of-fit indices (CMIN/df = 1.11, RMSEA = 0.02, NFI = 0.97, TLI = 1.00, CFI = 1.00, and GFI = 0.96) indicates that transportation and housing, community support and health services, and outdoor spaces and buildings are statistically significant in creating an age-friendly environment. We found a statistically significant positive relationship between an age-friendly environment and active aging. This relationship is mediated by social connectedness. The results indicate that built environments such as accessible public transportations and housing, affordable and accessible healthcare services, and elderly friendly outdoor spaces and buildings have to be put into place before social environment in building an age-friendly environment. Otherwise, the structural barriers would hinder social interactions for the aged. The removal of the environmental barriers and improved public transportation services provide short-term solutions to meet the varied and growing needs of the older population. PMID:27293889

Nursing simulation: a community experience.

PubMed

Gunowa, Neesha Oozageer; Elliott, Karen; McBride, Michelle

2018-04-02

The education sector faces major challenges in providing learning experiences so that newly qualified nurses feel adequately prepared to work in a community setting. With this in mind, higher education institutions need to develop more innovative ways to deliver the community-nurse experience to student nurses. This paper presents and explores how simulation provides an opportunity for educators to support and evaluate student performance in an environment that models a complete patient encounter in the community. Following the simulation, evaluative data were collated and the answers analysed to identify key recommendations.

A Taxonomy of Instructional Objectives for Developmentally Disabled Persons: Personal Maintenance and Development: Homemaking and Community Life; Leisure; and Travel Domains. Working Paper 85-2. COMPETE: Community-Based Model for Public-School Exit and Transition to Employment.

ERIC Educational Resources Information Center

Dever, Richard B.

The purpose of Project COMPETE is to use previous research and exemplary practices to develop and validate a model and training sequence to assist retarded youth to make the transition from school to employment in the most competitive environment possible. The taxonomy described in this project working paper focuses on instructional objectives in…

Genome-Based Models to Optimize In Situ Bioremediation of Uranium and Harvesting Electrical Energy from Waste Organic Matter

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

Lovley, Derek R

2012-12-28

The goal of this research was to provide computational tools to predictively model the behavior of two microbial communities of direct relevance to Department of Energy interests: 1) the microbial community responsible for in situ bioremediation of uranium in contaminated subsurface environments; and 2) the microbial community capable of harvesting electricity from waste organic matter and renewable biomass. During this project the concept of microbial electrosynthesis, a novel form of artificial photosynthesis for the direct production of fuels and other organic commodities from carbon dioxide and water was also developed and research was expanded into this area as well.

The SCEC Community Modeling Environment (SCEC/CME) - An Overview of its Architecture and Current Capabilities

NASA Astrophysics Data System (ADS)

Maechling, P. J.; Jordan, T. H.; Minster, B.; Moore, R.; Kesselman, C.; SCEC ITR Collaboration

2004-12-01

The Southern California Earthquake Center (SCEC), in collaboration with the San Diego Supercomputer Center, the USC Information Sciences Institute, the Incorporated Research Institutions for Seismology, and the U.S. Geological Survey, is developing the Southern California Earthquake Center Community Modeling Environment (CME) under a five-year grant from the National Science Foundation's Information Technology Research (ITR) Program jointly funded by the Geosciences and Computer and Information Science & Engineering Directorates. The CME system is an integrated geophysical simulation modeling framework that automates the process of selecting, configuring, and executing models of earthquake systems. During the Project's first three years, we have performed fundamental geophysical and information technology research and have also developed substantial system capabilities, software tools, and data collections that can help scientist perform systems-level earthquake science. The CME system provides collaborative tools to facilitate distributed research and development. These collaborative tools are primarily communication tools, providing researchers with access to information in ways that are convenient and useful. The CME system provides collaborators with access to significant computing and storage resources. The computing resources of the Project include in-house servers, Project allocations on USC High Performance Computing Linux Cluster, as well as allocations on NPACI Supercomputers and the TeraGrid. The CME system provides access to SCEC community geophysical models such as the Community Velocity Model, Community Fault Model, Community Crustal Motion Model, and the Community Block Model. The organizations that develop these models often provide access to them so it is not necessary to use the CME system to access these models. However, in some cases, the CME system supplements the SCEC community models with utility codes that make it easier to use or access these models. In some cases, the CME system also provides alternatives to the SCEC community models. The CME system hosts a collection of community geophysical software codes. These codes include seismic hazard analysis (SHA) programs developed by the SCEC/USGS OpenSHA group. Also, the CME system hosts anelastic wave propagation codes including Kim Olsen's Finite Difference code and Carnegie Mellon's Hercules Finite Element tool chain. The CME system can execute a workflow, that is, a series of geophysical computations using the output of one processing step as the input to a subsequent step. Our workflow capability utilizes grid-based computing software that can submit calculations to a pool of computing resources as well as data management tools that help us maintain an association between data files and metadata descriptions of those files. The CME system maintains, and provides access to, a collection of valuable geophysical data sets. The current CME Digital Library holdings include a collection of 60 ground motion simulation results calculated by a SCEC/PEER working group and a collection of Greens Functions calculated for 33 TriNet broadband receiver sites in the Los Angeles area.

The association between community environment and cognitive function: a systematic review.

PubMed

Wu, Yu-Tzu; Prina, A Matthew; Brayne, Carol

2015-03-01

The aim of this study is to review the published evidence on the association between community environment and cognitive function in older people, focusing on the findings and a critique of the existing studies. A literature search was conducted to identify studies linking the community environment and cognitive function in older people. The results and methodological factors, including the definition of community, individual level characteristics and the measurements of cognitive function and community environment were extracted from each study. The measurements of community environment were mainly categorized into two types: compositional, generated by aggregating individual and household data (community-level socioeconomic status, deprivation index) and contextual, targeting at the features of built or social environment in local areas (green space, street conditions, crime rate). Fourteen of the fifteen studies used compositional measurements such as community-level socioeconomic status and deprivation index and significant associations were found in eleven studies. Some individual level factors (ethnicity, genotype and socioeconomic status) were found to modify the association between community environment and cognitive function. Few contextual measurements were included in the existing studies. A conceptual framework for the pathway from community environment to cognitive function of older people is provided in this review. To disentangle the additional effect of place from individual risk factors and investigate the casual direction of community environment and cognition in later life, longitudinal studies with measurements targeting built and social environments of community and change of cognitive functions over time need to be included in future studies.

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.

Long-Term Weight Loss Effects of a Behavioral Weight Management Program: Does the Community Food Environment Matter?

PubMed Central

Zenk, Shannon N.; Tarlov, Elizabeth; Wing, Coady; Tong, Hao; Jones, Kelly K.; Powell, Lisa M.

2018-01-01

This study examined whether community food environments altered the longer-term effects of a nationwide behavioral weight management program on body mass index (BMI). The sample was comprised of 98,871 male weight management program participants and 15,385 female participants, as well as 461,302 and 37,192 inverse propensity-score weighted matched male and female controls. We measured the community food environment by counting the number of supermarkets, convenience stores, and fast food restaurants within a 1-mile radius around each person’s home address. We used difference-in-difference regression models with person and calendar time fixed effects to estimate MOVE! effects over time in sub-populations defined by community food environment attributes. Among men, after an initial decrease in BMI at 6 months, the effect of the program decreased over time, with BMI increasing incrementally at 12 months (0.098 kg/m2, p < 0.001), 18 months (0.069 kg/m2, p < 0.001), and 24 months (0.067 kg/m2, p < 0.001). Among women, the initial effects of the program decreased over time as well. Women had an incremental BMI change of 0.099 kg/m2 at 12 months (p < 0.05) with non-significant incremental changes at 18 months and 24 months. We found little evidence that these longer-term effects of the weight management program differed depending on the community food environment. Physiological adaptations may overwhelm environmental influences on adherence to behavioral regimens in affecting longer-term weight loss outcomes. PMID:29373556

Overcoming Challenges: "Going Mobile with Your Own Video Models"

ERIC Educational Resources Information Center

Carnahan, Christina R.; Basham, James D.; Christman, Jennifer; Hollingshead, Aleksandra

2012-01-01

Video modeling has been shown to be an effective intervention for students with a variety of disabilities. Traditional video models present problems in terms of application across meaningful settings, such as in the community or even across the school environment. However, with advances in mobile technology, portable devices with video capability…

Exploring the Construct of Social Integration in a Community College Environment

ERIC Educational Resources Information Center

Mertes, Scott J.

2013-01-01

Among current retention models, Tinto's Interactionalist Model has reached near paradigmatic status. When his model has been applied to two-year college settings, the social integration results have been inconsistent. This has led Maxwell (2000) and Deil-Amen (2011) to suggest that a different construct of social integration exists in…

Using the community readiness model to examine the built and social environment: a case study of the High Point neighborhood, Seattle, Washington, 2000-2010.

PubMed

Buckner-Brown, Joyce; Sharify, Denise Tung; Blake, Bonita; Phillips, Tom; Whitten, Kathleen

2014-11-06

Residents of many cities lack affordable, quality housing. Economically disadvantaged neighborhoods often have high rates of poverty and crime, few institutions that enhance the quality of its residents' lives, and unsafe environments for walking and other physical activity. Deteriorating housing contributes to asthma-related illness. We describe the redevelopment of High Point, a West Seattle neighborhood, to improve its built environment, increase neighborhood physical activity, and reduce indoor asthma triggers. High Point is one of Seattle's most demographically diverse neighborhoods. Prior to redevelopment, it had a distressed infrastructure, rising crime rates, and indoor environments that increased asthma-related illness in children and adolescents. High Point residents and partners developed and implemented a comprehensive redevelopment plan to create a sustainable built environment to increase outdoor physical activity and improve indoor environments. We conducted a retrospective analysis of the High Point redevelopment, organized by the different stages of change in the Community Readiness Model. We also examined the multisector partnerships among government and community groups that contributed to the success of the High Point project. Overall quality of life for residents improved as a result of neighborhood redevelopment. Physical activity increased, residents reported fewer days of poor physical or mental health, and social connectedness between neighbors grew. Asthma-friendly homes significantly decreased asthma-related illness among children and adolescents. Providing affordable, quality housing to low-income families improved individual and neighborhood quality of life. Efforts to create social change and improve the health outcomes for entire populations are more effective when multiple organizations work together to improve neighborhood health.

Community gardening: a parsimonious path to individual, community, and environmental resilience.

PubMed

Okvat, Heather A; Zautra, Alex J

2011-06-01

The goal of this paper is to introduce community gardening as a promising method of furthering well-being and resilience on multiple levels: individual, social group, and natural environment. We examine empirical evidence for the benefits of gardening, and we advocate the development and testing of social ecological models of community resilience through examination of the impact of community gardens, especially in urban areas. The definition of community is extended beyond human social ties to include connections with other species and the earth itself, what Berry (1988) has called an Earth community. We discuss the potential contribution of an extensive network of community gardens to easing the global climate change crisis and address the role of community psychologists in community gardening research and policy-oriented action.

Purple Computational Environment With Mappings to ACE Requirements for the General Availability User Environment Capabilities

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

Barney, B; Shuler, J

2006-08-21

Purple is an Advanced Simulation and Computing (ASC) funded massively parallel supercomputer located at Lawrence Livermore National Laboratory (LLNL). The Purple Computational Environment documents the capabilities and the environment provided for the FY06 LLNL Level 1 General Availability Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure computing environments at Los Alamos National Laboratory, Lawrence Livermore National Laboratory, and Sandia National Laboratories, but also documents needs of the LLNL and Alliance users working in the unclassified environment. Additionally,more » the Purple Computational Environment maps the provided capabilities to the Trilab ASC Computing Environment (ACE) Version 8.0 requirements. The ACE requirements reflect the high performance computing requirements for the General Availability user environment capabilities of the ASC community. Appendix A lists these requirements and includes a description of ACE requirements met and those requirements that are not met for each section of this document. The Purple Computing Environment, along with the ACE mappings, has been issued and reviewed throughout the Tri-lab community.« less

Cognitive Diffusion Model: Facilitating EFL Learning in an Authentic Environment

ERIC Educational Resources Information Center

Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min; Liu, Tzu-Yu

2017-01-01

For this study, we designed learning activities in which students applied newly acquired knowledge to solve meaningful daily life problems in their local community--a real, familiar, and relevant environment for students. For example, students learned about signs and rules in class and then applied this new knowledge to create their own rules for…

Designing Collaborative E-Learning Environments Based upon Semantic Wiki: From Design Models to Application Scenarios

ERIC Educational Resources Information Center

Li, Yanyan; Dong, Mingkai; Huang, Ronghuai

2011-01-01

The knowledge society requires life-long learning and flexible learning environment that enables fast, just-in-time and relevant learning, aiding the development of communities of knowledge, linking learners and practitioners with experts. Based upon semantic wiki, a combination of wiki and Semantic Web technology, this paper designs and develops…

Character displacement and the evolution of niche complementarity in a model biofilm community

PubMed Central

Ellis, Crystal N; Traverse, Charles C; Mayo-Smith, Leslie; Buskirk, Sean W; Cooper, Vaughn S

2015-01-01

Colonization of vacant environments may catalyze adaptive diversification and be followed by competition within the nascent community. How these interactions ultimately stabilize and affect productivity are central problems in evolutionary ecology. Diversity can emerge by character displacement, in which selection favors phenotypes that exploit an alternative resource and reduce competition, or by facilitation, in which organisms change the environment and enable different genotypes or species to become established. We previously developed a model of long-term experimental evolution in which bacteria attach to a plastic bead, form a biofilm, and disperse to a new bead. Here, we focus on the evolution of coexisting mutants within a population of Burkholderia cenocepacia and how their interactions affected productivity. Adaptive mutants initially competed for space, but later competition declined, consistent with character displacement and the predicted effects of the evolved mutations. The community reached a stable equilibrium as each ecotype evolved to inhabit distinct, complementary regions of the biofilm. Interactions among ecotypes ultimately became facilitative and enhanced mixed productivity. Observing the succession of genotypes within niches illuminated changing selective forces within the community, including a fundamental role for genotypes producing small colony variants that underpin chronic infections caused by B. cenocepacia. PMID:25494960

Termite hindguts and the ecology of microbial communities in the sequencing age.

PubMed

Tai, Vera; Keeling, Patrick J

2013-01-01

Advances in high-throughput nucleic acid sequencing have improved our understanding of microbial communities in a number of ways. Deeper sequence coverage provides the means to assess diversity at the resolution necessary to recover ecological and biogeographic patterns, and at the same time single-cell genomics provides detailed information about the interactions between members of a microbial community. Given the vastness and complexity of microbial ecosystems, such analyses remain challenging for most environments, so greater insight can also be drawn from analysing less dynamic ecosystems. Here, we outline the advantages of one such environment, the wood-digesting hindgut communities of termites and cockroaches, and how it is a model to examine and compare both protist and bacterial communities. Beyond the analysis of diversity, our understanding of protist community ecology will depend on using statistically sound sampling regimes at biologically relevant scales, transitioning from discovery-based to experimental ecology, incorporating single-cell microbiology and other data sources, and continued development of analytical tools. © 2013 The Author(s) Journal of Eukaryotic Microbiology © 2013 International Society of Protistologists.

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

EPA Pesticide Factsheets

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

Alternative community structures in a kelp-urchin community: A qualitative modeling approach

USGS Publications Warehouse

Montano-Moctezuma, G.; Li, H.W.; Rossignol, P.A.

2007-01-01

Shifts in interaction patterns within a community may result from periodic disturbances and climate. The question arises as to the extent and significance of these shifting patterns. Using a novel approach to link qualitative mathematical models and field data, namely using the inverse matrix to identify the community matrix, we reconstructed community networks from kelp forests off the Oregon Coast. We simulated all ecologically plausible interactions among community members, selected the models whose outcomes match field observations, and identified highly frequent links to characterize the community network from a particular site. We tested all possible biologically reasonable community networks through qualitative simulations, selected those that matched patterns observed in the field, and further reduced the set of possibilities by retaining those that were stable. We found that a community can be represented by a set of alternative structures, or scenarios. From 11,943,936 simulated models, 0.23% matched the field observations; moreover, only 0.006%, or 748 models, were highly reliable in their predictions and met conditions for stability. Predator-prey interactions as well as non-predatory relationships were consistently found in most of the 748 models. These highly frequent connections were useful to characterize the community network in the study site. We suggest that alternative networks provide the community with a buffer to disturbance, allowing it to continuously reorganize to adapt to a variable environment. This is possible due to the fluctuating capacities of foraging species to consume alternate resources. This suggestion is sustained by our results, which indicate that none of the models that matched field observations were fully connected. This plasticity may contribute to the persistence of these communities. We propose that qualitative simulations represent a powerful technique to raise new hypotheses concerning community dynamics and to reconstruct guidelines that may govern community patterns. ?? 2007 Elsevier B.V. All rights reserved.

Cardiovascular Risk Reduction in Children.

ERIC Educational Resources Information Center

Murray, David M.; And Others

1987-01-01

The paper presents a community model for reducing the risk of coronary heart disease in children and youth. The model addresses the individual, the family, social groups, and the larger social and physical environments. Exemplary programs are described and recommendations are made for additional research and program development. (Author/DB)

An analysis of the concept of competence in individuals and social systems.

PubMed

Adler, P T

1982-01-01

This paper has attempted to present a unified conceptual model of positive mental health or competence from the perspective of individuals and from the perspective of social systems of varying degrees of complexity, such as families, organizations, and entire communities. It has provided a taxonomy of the elements of competence which allows the application of a common framework to the analysis of competence and to the planning and evaluation of competence building interventions at any level of social organization. Community Mental Health Centers can apply the model which has been presented in a number of different ways. At whatever level(s) the CMHCs' efforts are directed, the competence model presents a framework for analysis, intervention, and evaluation which enriches and expands upon more typical disorder-based formulations. By providing a framework which encompasses all levels of social organization, the model provides the conceptual tools for going beyond the individual and microsystem levels which have often constituted the boundaries of CMHC concern, and allows the CMHC to approach the organizational and community levels which must be encompassed by a competently comprehensive center. Application of the concept of competence to social organizations and to communities allows the CMHC to analyze and intervene at these levels. Finally, the concept of organizational competence separated into its various elements provides the CMHC with a tool for analyzing and evaluating its own environment and the competence of various aspects of its own functioning within that environment.

Ecohealth System Dynamic Model as a Planning Tool for the Reduction of Breeding Sites

NASA Astrophysics Data System (ADS)

Respati, T.; Raksanagara, A.; Djuhaeni, H.; Sofyan, A.; Shandriasti, A.

2017-03-01

Dengue is still one of major health problem in Indonesia. Dengue transmission is influenced by dengue prevention and eradication program, community participation, housing environment and climate. The complexity of the disease coupled with limited resources necessitates different approach for prevention methods that include factors contribute to the transmission. One way to prevent the dengue transmission is by reducing the mosquito’s breeding sites. Four factors suspected to influence breeding sites are dengue prevention and eradication program, community participation, housing environment, and weather condition. In order to have an effective program in reducing the breeding site it is needed to have a model which can predict existence of the breeding sites while the four factors under study are controlled. The objective of this study is to develop an Ecohealth model using system dynamic as a planning tool for the reduction of breeding sites to prevent dengue transmission with regard to dengue prevention and eradication program, community participation, housing environment, and weather condition. The methodology is a mixed method study using sequential exploratory design. The study comprised of 3 stages: first a qualitative study to 14 respondents using in-depth interview and 6 respondents for focus group discussion. The results from the first stage was used to develop entomology and household survey questionnaires for second stage conducted in 2036 households across 12 sub districts in Bandung City. Ecohealth system dynamic model was developed using data from first and second stages. Analyses used are thematic analysis for qualitative data; spatial, generalized estimating equation (GEE) and structural equation modeling for quantitative data; also average mean error (AME) and average variance error (AVE) for dynamic system model validation. System dynamic model showed that the most effective approach to eliminate breeding places was by ensuring the availability of basic sanitation for all houses. Weather factors such as precipitation can be compensated with the eradication of breeding sites activities which is conducted as scheduled and at the same time for the whole areas. Conclusion of this study is that dengue prevention and eradication program, community participation, and housing environment contributed to breeding places elimination influenced the existence of the breeding sites. The availability of basic sanitation and breeding places eradication program done timely and collectively are the most effective approach to eradicate breeding sites. Ecohealth dynamic system model can be used as a tool for the planning of breeding sites eradication program to prevent disease transmissions at city level.

Encapsulating model complexity and landscape-scale analyses of state-and-transition simulation models: an application of ecoinformatics and juniper encroachment in sagebrush steppe ecosystems

USGS Publications Warehouse

O'Donnell, Michael

2015-01-01

State-and-transition simulation modeling relies on knowledge of vegetation composition and structure (states) that describe community conditions, mechanistic feedbacks such as fire that can affect vegetation establishment, and ecological processes that drive community conditions as well as the transitions between these states. However, as the need for modeling larger and more complex landscapes increase, a more advanced awareness of computing resources becomes essential. The objectives of this study include identifying challenges of executing state-and-transition simulation models, identifying common bottlenecks of computing resources, developing a workflow and software that enable parallel processing of Monte Carlo simulations, and identifying the advantages and disadvantages of different computing resources. To address these objectives, this study used the ApexRMS® SyncroSim software and embarrassingly parallel tasks of Monte Carlo simulations on a single multicore computer and on distributed computing systems. The results demonstrated that state-and-transition simulation models scale best in distributed computing environments, such as high-throughput and high-performance computing, because these environments disseminate the workloads across many compute nodes, thereby supporting analysis of larger landscapes, higher spatial resolution vegetation products, and more complex models. Using a case study and five different computing environments, the top result (high-throughput computing versus serial computations) indicated an approximate 96.6% decrease of computing time. With a single, multicore compute node (bottom result), the computing time indicated an 81.8% decrease relative to using serial computations. These results provide insight into the tradeoffs of using different computing resources when research necessitates advanced integration of ecoinformatics incorporating large and complicated data inputs and models. - See more at: http://aimspress.com/aimses/ch/reader/view_abstract.aspx?file_no=Environ2015030&flag=1#sthash.p1XKDtF8.dpuf

Modeling eating behaviors: The role of environment and positive food association learning via a Ratatouille effect.

PubMed

Murillo, Anarina L; Safan, Muntaser; Castillo-Chavez, Carlos; Phillips, Elizabeth D Capaldi; Wadhera, Devina

2016-08-01

Eating behaviors among a large population of children are studied as a dynamic process driven by nonlinear interactions in the sociocultural school environment. The impact of food association learning on diet dynamics, inspired by a pilot study conducted among Arizona children in Pre-Kindergarten to 8th grades, is used to build simple population-level learning models. Qualitatively, mathematical studies are used to highlight the possible ramifications of instruction, learning in nutrition, and health at the community level. Model results suggest that nutrition education programs at the population-level have minimal impact on improving eating behaviors, findings that agree with prior field studies. Hence, the incorporation of food association learning may be a better strategy for creating resilient communities of healthy and non-healthy eaters. A Ratatouille effect can be observed when food association learners become food preference learners, a potential sustainable behavioral change, which in turn, may impact the overall distribution of healthy eaters. In short, this work evaluates the effectiveness of population-level intervention strategies and the importance of institutionalizing nutrition programs that factor in economical, social, cultural, and environmental elements that mesh well with the norms and values in the community.

Phytoplankton Pigment Communities Can be Modeled Using Unique Relationships With Spectral Absorption Signatures in a Dynamic Coastal Environment

NASA Astrophysics Data System (ADS)

Catlett, D.; Siegel, D. A.

2018-01-01

Understanding the roles of phytoplankton community composition in the functioning of marine ecosystems and ocean biogeochemical cycles is important for many ocean science problems of societal relevance. Remote sensing currently offers the only feasible method for continuously assessing phytoplankton community structure on regional to global scales. However, methods are presently hindered by the limited spectral resolution of most satellite sensors and by uncertainties associated with deriving quantitative indices of phytoplankton community structure from phytoplankton pigment concentrations. Here we analyze a data set of concurrent phytoplankton pigment concentrations and phytoplankton absorption coefficient spectra from the Santa Barbara Channel, California, to develop novel optical oceanographic models for retrieving metrics of phytoplankton community composition. Cluster and Empirical Orthogonal Function analyses of phytoplankton pigment concentrations are used to define up to five phytoplankton pigment communities as a representation of phytoplankton functional types. Unique statistical relationships are found between phytoplankton pigment communities and absorption features isolated using spectral derivative analysis and are the basis of predictive models. Model performance is substantially better for phytoplankton pigment community indices compared with determinations of the contributions of individual pigments or taxa to chlorophyll a. These results highlight the application of data-driven chemotaxonomic approaches for developing and validating bio-optical algorithms and illustrate the potential and limitations for retrieving phytoplankton community composition from hyperspectral satellite ocean color observations.

Community Based Educational Model on Water Conservation Program

NASA Astrophysics Data System (ADS)

Sudiajeng, L.; Parwita, I. G. L.; Wiraga, I. W.; Mudhina, M.

2018-01-01

The previous research showed that there were indicators of water crisis in the northern and eastern part of Denpasar city and most of coastal area experienced on seawater intrusion. The recommended water conservation programs were rainwater harvesting and educate the community to develop a water saving and environmentally conscious culture. This research was conducted to built the community based educational model on water conservation program through ergonomics SHIP approach which placed the human aspect as the first consideration, besides the economic and technically aspects. The stakeholders involved in the program started from the problem analyses to the implementation and the maintenance as well. The model was built through three main steps, included determination of accepted design; building the recharge wells by involving local communities; guidance and assistance in developing a water saving and environmentally conscious culture for early childhood, elementary and junior high school students, community and industry. The program was implemented based on the “TRIHITA KARANA” concept, which means the relationship between human to God, human-to-human, and human to environment. Through the development of the model, it is expected to grow a sense of belonging and awareness from the community to maintain the sustainability of the program.

The impact of urbanization on the community food environment in China.

PubMed

Wu, Yang; Xue, Hong; Wang, Huijun; Su, Chang; Du, Shufa; Wang, Youfa

2017-05-01

Research on how urbanization has influenced the food environment in China is limited. The study aimed to examine the impact of urbanization on the food environment in China. Longitudinal data collected during 1989-2009 from the China Health and Nutrition Survey were used, which covered 9 provinces in China. Urbanicity index (0-10) was assessed using an urbanicity scale. Final analyses included 216 communities. Random-effect models were used in analyses. Urbanization (higher urbanicity index) increased the odds of having fast food restaurants (OR=2.78, 95% CI: 2.18-3.54) and other indoor restaurants (OR=2.93, 95% CI: 2.28-3.76) within the community, the odds of having supermarkets (OR=2.43, 95% CI: 2.04-2.89) and free markets (OR=2.56, 95% CI: 1.77-3.70) within 30 minutes' bus ride from the community. Food prices for apples (β=0.06, 95% CI: 0.04-0.08) and lean pork (β =0.02, 95% CI: 0.01-0.03) increased with urbanicity, while prices for other food did not. Urbanicity was positively associated with community norms for fast food consumption (RR=1.28, 95% CI: 1.22-1.33), fast food preferences (RR=1.09, 95% CI: 1.06-1.12) and nutrition knowledge (RR=1.02, 95% CI: 1.01-1.03). Urbanization is associated with food environment in China. The findings provide insight for future economic development and public health efforts related to urbanization.

Modeling microbial community structure and functional diversity across time and space.

PubMed

Larsen, Peter E; Gibbons, Sean M; Gilbert, Jack A

2012-07-01

Microbial communities exhibit exquisitely complex structure. Many aspects of this complexity, from the number of species to the total number of interactions, are currently very difficult to examine directly. However, extraordinary efforts are being made to make these systems accessible to scientific investigation. While recent advances in high-throughput sequencing technologies have improved accessibility to the taxonomic and functional diversity of complex communities, monitoring the dynamics of these systems over time and space - using appropriate experimental design - is still expensive. Fortunately, modeling can be used as a lens to focus low-resolution observations of community dynamics to enable mathematical abstractions of functional and taxonomic dynamics across space and time. Here, we review the approaches for modeling bacterial diversity at both the very large and the very small scales at which microbial systems interact with their environments. We show that modeling can help to connect biogeochemical processes to specific microbial metabolic pathways. © 2012 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.

How Habitat Change and Rainfall Affect Dung Beetle Diversity in Caatinga, a Brazilian Semi-Arid Ecosystem

PubMed Central

Liberal, Carolina Nunes; de Farias, Ângela Maria Isidro; Meiado, Marcos Vinicius; Filgueiras, Bruno K. C.; Iannuzzi, Luciana

2011-01-01

The aim of the present study was to evaluate how dung beetle communities respond to both environment and rainfall in the Caatinga, a semi-arid ecosystem in northeastern Brazil. The communities were sampled monthly from May 2006 to April 2007 using pitfall traps baited with human feces in two environments denominated “land use area” and “undisturbed area.” Abundance and species richness were compared between the two environments and two seasons (dry and wet season) using a generalized linear model with a Poisson error distribution. Diversity was compared between the two environments (land use area and undisturbed area) and seasons (dry and wet) using the Two-Way ANOVA test. Non-metric multidimensional scaling was performed on the resemblance matrix of Bray-Curtis distances (with 1000 random restarts) to determine whether disturbance affected the abundance and species composition of the dung beetle communities. Spearman's correlation coefficient was used to determine whether rainfall was correlated with abundance and species richness. A total of 1097 specimens belonging to 13 species were collected. The most abundant and frequent species was Dichotomius geminatus Arrow (Coleoptera: Scarabaeidae). The environment exerted an influence over abundance. Abundance and diversity were affected by season, with an increase in abundance at the beginning of the wet season. The correlation coefficient values were high and significant for abundance and species richness, which were both correlated to rainfall. In conclusion, the restriction of species to some environments demonstrates the need to preserve these areas in order to avoid possible local extinction. Therefore, in extremely seasonable environments, such as the Caatinga, seasonal variation strongly affects dung beetle communities. PMID:22224924

How habitat change and rainfall affect dung beetle diversity in Caatinga, a Brazilian semi-arid ecosystem.

PubMed

Liberal, Carolina Nunes; de Farias, Ângela Maria Isidro; Meiado, Marcos Vinicius; Filgueiras, Bruno K C; Iannuzzi, Luciana

2011-01-01

The aim of the present study was to evaluate how dung beetle communities respond to both environment and rainfall in the Caatinga, a semi-arid ecosystem in northeastern Brazil. The communities were sampled monthly from May 2006 to April 2007 using pitfall traps baited with human feces in two environments denominated "land use area" and "undisturbed area." Abundance and species richness were compared between the two environments and two seasons (dry and wet season) using a generalized linear model with a Poisson error distribution. Diversity was compared between the two environments (land use area and undisturbed area) and seasons (dry and wet) using the Two-Way ANOVA test. Non-metric multidimensional scaling was performed on the resemblance matrix of Bray-Curtis distances (with 1000 random restarts) to determine whether disturbance affected the abundance and species composition of the dung beetle communities. Spearman's correlation coefficient was used to determine whether rainfall was correlated with abundance and species richness. A total of 1097 specimens belonging to 13 species were collected. The most abundant and frequent species was Dichotomius geminatus Arrow (Coleoptera: Scarabaeidae). The environment exerted an influence over abundance. Abundance and diversity were affected by season, with an increase in abundance at the beginning of the wet season. The correlation coefficient values were high and significant for abundance and species richness, which were both correlated to rainfall. In conclusion, the restriction of species to some environments demonstrates the need to preserve these areas in order to avoid possible local extinction. Therefore, in extremely seasonable environments, such as the Caatinga, seasonal variation strongly affects dung beetle communities.

The use of mobile devices as assistive technology in resource-limited environments: access for learners with visual impairments in Kenya.

PubMed

Foley, Alan R; Masingila, Joanna O

2015-07-01

In this paper, the authors explore the use of mobile devices as assistive technology for students with visual impairments in resource-limited environments. This paper provides initial data and analysis from an ongoing project in Kenya using tablet devices to provide access to education and independence for university students with visual impairments in Kenya. The project is a design-based research project in which we have developed and are refining a theoretically grounded intervention--a model for developing communities of practice to support the use of mobile technology as an assistive technology. We are collecting data to assess the efficacy and improve the model as well as inform the literature that has guided the design of the intervention. In examining the impact of the use of mobile devices for the students with visual impairments, we found that the devices provide the students with (a) access to education, (b) the means to participate in everyday life and (c) the opportunity to create a community of practice. Findings from this project suggest that communities of practice are both a viable and a valuable approach for facilitating the diffusion and support of mobile devices as assistive technology for students with visual impairments in resource-limited environments. Implications for Rehabilitation The use of mobile devices as assistive technology in resource-limited environments provides students with visual impairments access to education and enhanced means to participate in everyday life. Communities of practice are both a viable and a valuable approach for facilitating the diffusion and support of mobile devices as assistive technology for students with visual impairments in resource-limited environments. Providing access to assistive technology early and consistently throughout students' schooling builds both their skill and confidence and also demonstrates the capabilities of people with visual impairments to the larger society.

School environmental conditions and links to academic performance and absenteeism in urban, mid-Atlantic public schools.

PubMed

Berman, J D; McCormack, M C; Koehler, K A; Connolly, F; Clemons-Erby, D; Davis, M F; Gummerson, C; Leaf, P J; Jones, T D; Curriero, F C

2018-06-01

School facility conditions, environment, and perceptions of safety and learning have been investigated for their impact on child development. However, it is important to consider how the environment separately influences academic performance and attendance after controlling for school and community factors. Using results from the Maryland School Assessment, we considered outcomes of school-level proficiency in reading and math plus attendance and chronic absences, defined as missing 20 or more days, for grades 3-5 and 6-8 at 158 urban schools. Characteristics of the environment included school facility conditions, density of nearby roads, and an index industrial air pollution. Perceptions of school safety, learning, and institutional environment were acquired from a School Climate Survey. Also considered were neighborhood factors at the community statistical area, including demographics, crime, and poverty based on school location. Poisson regression adjusted for over-dispersion was used to model academic achievement and multiple linear models were used for attendance. Each 10-unit change in facility condition index, denoting worse quality buildings, was associated with a decrease in reading (1.0% (95% CI: 0.1-1.9%) and math scores (0.21% (95% CI: 0.20-0.40), while chronic absences increased by 0.75% (95% CI: 0.30-1.39). Each log increase the EPA's Risk Screening Environmental Indicator (RSEI) value for industrial hazards, resulted in a marginally significant trend of increasing absenteeism (p < 0.06), but no association was observed with academic achievement. All results were robust to school-level measures of racial composition, free and reduced meals eligibility, and community poverty and crime. These findings provide empirical evidence for the importance of the community and school environment, including building conditions and neighborhood toxic substance risk, on academic achievement and attendance. Copyright © 2018 Elsevier GmbH. All rights reserved.

Bringing Older Adults into the Classroom: The Sharing Community Model

ERIC Educational Resources Information Center

Hantman, Shira; Oz, Miriam Ben; Gutman, Caroline; Criden, Wendy

2013-01-01

This article describes an innovative model for teaching gerontological social work that has been introduced into the social work methods curriculum in the Department of Social Work at a college in northern Israel. The basic concept of the model is to create an alternative learning environment by including older persons as full participants in the…

AAC and community partnerships: the participation path to community inclusion.

PubMed

Batorowicz, Beata; McDougall, Stacy; Shepherd, Tracy A

2006-09-01

The Life Needs Model (LNM) of service delivery emphasizes the importance of community participation in children's development and quality of life. This article is a case illustration of two community partnership programs based on the LNM. StoryTime and Dress Up and Drama provide participation opportunities in the community for children who use Augmentative and Alternative Communication (AAC). The authors describe the development and implementation of both programs. Regardless of level of functioning, each child who participated in the programs did so by communicating, interacting socially, and controlling the environment. Multiple benefits for children, parents/caregivers, community partners, and AAC clinicians are highlighted. The authors hope that this article will assist others in developing partnerships and implementing inclusive practices within their communities.

Dietary and Built Environment Assessment in a Latino Community

ERIC Educational Resources Information Center

Khan, Sarah; Calloway, Stephanie A.; Maida, I. Tatiana; Rakel, David P.

2012-01-01

Background: Assessment of basic dietary intake and community nutrition environment is lacking and needed to improve health outcomes for the growing U.S. Latino community. Purpose: The dietary intake and community nutrition environment of a Latino population in the Midwest was evaluated. Methods: In a community clinic, Block Food Frequency…

Updating sea spray aerosol emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2

EPA Science Inventory

Sea spray aerosols (SSAs) impact the particle mass concentration and gas-particle partitioning in coastal environments, with implications for human and ecosystem health. Model evaluations of SSA emissions have mainly focused on the global scale, but regional-scale evaluations are...

FEST-C 1.3 & 2.0 for CMAQ Bi-directional NH3, Crop Production, and SWAT Modeling

EPA Science Inventory

The Fertilizer Emission Scenario Tool for CMAQ (FEST-C) is developed in a Linux environment, a festc JAVA interface that integrates 14 tools and scenario management options facilitating land use/crop data processing for the Community Multiscale Air Quality (CMAQ) modeling system ...

System for valuing changes to environmental and historic amenities : final report for the academy for community & transportation innovation.

DOT National Transportation Integrated Search

2004-10-01

This report provides a model for estimating the impact of highway projects on the environment and cultural amenities. The model was developed by the University of Kentucky Center for Business and Economic Research and was supported by funding from th...

Design of environmental education module towards the needs of aboriginal community learning

NASA Astrophysics Data System (ADS)

Dasman, Siti Mariam; Yasin, Ruhizan Mohammad

2017-05-01

Non-formal education (NFE) refers to a program that is designed for personal and social education for learners to improve the level of skills and competencies outside formal educational curriculum. Issues related to geography and environment of different Aboriginal communities with other communities play an important role in determining the types and methods that should be made available to the minority community groups. Thus, this concept paper is intended to cater for educational environment through the design and development of learning modules based on non-formal education to the learning of Aboriginal community. Methods and techniques in the design and construction of the modules is based on the Design and Development Research (DDR) that was based on instructional design model of Morrison, Kemp and Ross which is more flexible and prioritizes the needs and characteristics of learners who were involved in the learning modules of the future. The discussion is related to the module development which is suitable to the learning needs of the community and there are several recommendations which may be applied in the implementation of this approach. In conclusion, the community of Orang Asli should be offered the same education as other communities but it is important to distinguish acceptance of learning techniques or approaches used in the education system to meet their standards. The implications of this concept paper is to meet the educational needs of the environment which includes a few aspects of science and some learning activities using effective approaches such as playing and building their own knowledge of meaning.

A workshop model simulating fate and effect of drilling muds and cuttings on benthic communities

USGS Publications Warehouse

Auble, Gregor T.; Andrews, Austin K.; Hamilton, David B.; Roelle, James E.; Shoemaker, Thomas G.

1984-01-01

Oil and gas exploration and production at marine sites has generated concern over potential environmental impacts resulting from the discharge of spent drilling muds and cuttings. This concern has led to a broad array of publicly and privately sponsored research. This report described a cooperative modeling effort designed to focus information resulting from this research through construction of explicit equations that simulate the potential impacts of discharge drilling fluids (muds) and cuttings on marine communities. The model is the result of collaboration among more than 30 scientists. The principal cooperating organizations were the E.S. Environmental Protection Agency, the U.S. Minerals Management Service, the Offshore Operators Committee, and the Alaska Oil and Gas Association. The overall simulation model can be conceptualized as three connected submodels: Discharge and Plume Fate, Sediment Redistribution, and Benthic Community Effects. On each day of simulation, these submodels are executed in sequence, with flows of information between submodels. The Benthic Community Effects submodel can be further divided into sections that calculate mortality due to burial, mortality due to toxicity, mortality due to resuspension disturbance, and growth of the community. The model represents a series of seven discrete 1-m2 plots at specified distances along a transect in one direction away from a discharge point. It consists of coupled difference equations for which parameter values can easily be set to evaluate different conditions or to examine the sensitivity of output to various assumptions. Sets of parameter values were developed to represent four general cases or scenarios: (1) a shallow (5 m), cold environment with ice cover during a substantial fraction of the year, such as might be encountered in the Beaufort Sea, Alaska; (2) a shallow (20 m), temperate environment, such as might be encountered in the Gulf of Mexico; (3) a deeper (80 m), temperate environment, such as might be encountered in the Gulf of Mexico; and (4) a very deep (1,000 m) environment, such as might be encountered on the Atlantic slope. The focus of the modeling effort was on the connection of a reasonable representation of physical fate to the biological responses of populations, rather than on highly detailed representations of individual processes. For example, the calculations of physical fate are not as detailed as those in the recently published model of Brandsma et al. (1983). The value of the model described herein is in the broad scope of processes that are explicitly represented and linked together. The model cannot be considered to produce reliable predictions of the quantitative impacts of discharged drilling fluids and cuttings on biological populations at a particular site. Limitations of the model in predicting integrated fate and effects can be traced to three general areas: level of refinement of the algorithms used in the model; lack of understanding of the processes determining fate and effects; and parameter and data values. Despite the limitations, several qualitative conclusions concerning both potential impacts and the importance of various remaining data gaps can be drawn from the modeling effort. These include: (1) Simple, unequivocal conclusions about fate and effects across geographical regions and drilling operations are difficult, if not misleading, due to the large amount of variability in characteristics of discharged materials (e.g., oil content and toxicity), discharge conditions (e.g., duration of drilling operations), physical environments (e.g., water depth, current direction, and sediment disturbance regimes), and biological communities (e.g., intrinsic growth rates). Different combinations of these characteristics can result in substantial differences in simulated environmental fate and biological effects. For examples, simulated recovery in some high-energy environments occurs within months after the cessation of discharge operations, even at heavily impacted sites, whereas simulated recover in some low-energy environments takes years at heavily impacted sites. (3) The volume of material discharged and duration of operations in the production drilling operations simulated by the model are sufficient to produce substantial simulated biological impacts at some plots, both in terms of differences from a control plot during the period of discharge operations, and in terms of the recovery period following the perturbations. Evaluation of the significance of potential effects involves the following factors: • Definition of a specific spatial and temporal reference frame (e.g., What is the natural variation? Is 1 year to be considered a "long" or "short" time? Is 50 m to be considered a "large" or "trivial" distance? • Consideration of rare or unique resources and particularly sensitive biotic assemblages. • Consideration of the potential for long term, cumulative effects. Some of these aspects are clearly beyond the scope of this modeling efforts (e.g., the model does not simulate the long term fate of resuspended material). The model does, however, contain an internal "reference frame" by comparison to simulated behavior at a control plot. The model, in general, simulates substantial "natural" variation at the reference or control plots, both over time, due to sediment disturbance events in medium to high energy environments, and over space, due to geographically varying conditions, such as water depth and current regime.

The CompreHensive collaborativE Framework (CHEF)

NASA Astrophysics Data System (ADS)

Knoop, P. A.; Hardin, J.; Killeen, T.; Middleton, D.

2002-12-01

Data integration, publication, and archiving have become important considerations in most fields of science as experiments and models increase in complexity, and the collaborations necessary to conduct the research grow broader. The development of well thought out strategies and standards for such data handling, however, only goes part way in supporting the scientific process. A primary driving force for such efforts is the need of scientists to access and work with data in a timely, reasonable, and often collaborative fashion. Internet-based collaborative environments are one way to help complete this picture, linking scientists to the data they seek and to one another (e.g., Towards a Robust, Agile, and Comprehensive Information Infrastructure for the Geosciences: A Strategic Plan For High Performance Simulation, NCAR, 2000, http://www.ncar.ucar.edu/Director/plan.pdf). The CompreHensive collaborativE Framework (CHEF, http://chefproject.org) is a generic, extensible, web-based, open-source environment for collaboration. CHEF's goal is to provide the basic building blocks from which a community can assemble a collaborative environment that fits their needs. The design of CHEF has been influenced by our experience developing the Space Physics and Aeronomy Research Collaboratory (SPARC, http://www.si.umich.edu/SPARC), which provides integrated access to a wide variety of heterogeneous data sources, including community-standardized data bases. The design has also been heavily influenced by our involvement with an effort to extract and codify the broad underlying technical and social elements that lead to successful collaboratories (http://www.scienceofcollaboratories.org). A collaborative environment is in itself also not the complete answer to data handling, rather, it provides a facilitating environment in which community efforts to integrate, publish, archive, and share data using standard formats and practices can be taken advantage of by the end-users, the scientists. We present examples of how CHEF and its predecessors are utilized in a wide variety of scientific communities, including engineering, chemistry, and the geosciences. In particular, we focus on CHEF's utilization by the earthquake engineering community, whose Network for Earthquake Engineering Simulation (NEES, http://www.nees.org) involves a community effort to develop data standards and practices. In this context NEES is using CHEF as the "integration" environment in which to place the "tools" that bring together scientists and data; this includes data browsers, meta-data search engines, real-time and archival data viewers, etc. By developing these tools within the CHEF framework and exposing the community-developed data standards to the framework, they automatically gain the features, functionality, and capabilities offered by the collaborative environment. We also explore how a collaborative environment, in conjunction with community developed standards and practices for data integration, publishing, and archiving, could benefit the ocean science community.

Multilevel examination of the association of urbanization with inflammation in Chinese adults

PubMed Central

Thompson, Amanda L.; Houck, Kelly M.; Adair, Linda; Gordon-Larsen, Penny; Popkin, Barry

2014-01-01

We examine the associations between overall urbanicity and specific physical and social components of community-level urbanization with C-reactive protein (CRP) in adults participating in the China Health and Nutrition Study. Higher overall urbanicity and environment-related urbanicity component scores, including education, housing quality, and access to markets, were associated with elevated CRP in multilevel models controlling for clustering by community. These associations differed by age and gender and persisted after controlling for individual-level anthropometric, diet, and pathogenic risk factors. These results highlight the importance of place in relation to inflammation across the spectrum of rural and urban environments. PMID:24908386

Integrated Exoplanet Modeling with the GSFC Exoplanet Modeling & Analysis Center (EMAC)

NASA Astrophysics Data System (ADS)

Mandell, Avi M.; Hostetter, Carl; Pulkkinen, Antti; Domagal-Goldman, Shawn David

2018-01-01

Our ability to characterize the atmospheres of extrasolar planets will be revolutionized by JWST, WFIRST and future ground- and space-based telescopes. In preparation, the exoplanet community must develop an integrated suite of tools with which we can comprehensively predict and analyze observations of exoplanets, in order to characterize the planetary environments and ultimately search them for signs of habitability and life.The GSFC Exoplanet Modeling and Analysis Center (EMAC) will be a web-accessible high-performance computing platform with science support for modelers and software developers to host and integrate their scientific software tools, with the goal of leveraging the scientific contributions from the entire exoplanet community to improve our interpretations of future exoplanet discoveries. Our suite of models will include stellar models, models for star-planet interactions, atmospheric models, planet system science models, telescope models, instrument models, and finally models for retrieving signals from observational data. By integrating this suite of models, the community will be able to self-consistently calculate the emergent spectra from the planet whether from emission, scattering, or in transmission, and use these simulations to model the performance of current and new telescopes and their instrumentation.The EMAC infrastructure will not only provide a repository for planetary and exoplanetary community models, modeling tools and intermodal comparisons, but it will include a "run-on-demand" portal with each software tool hosted on a separate virtual machine. The EMAC system will eventually include a means of running or “checking in” new model simulations that are in accordance with the community-derived standards. Additionally, the results of intermodal comparisons will be used to produce open source publications that quantify the model comparisons and provide an overview of community consensus on model uncertainties on the climates of various planetary targets.

Putting FLEXPART to REST: The Provision of Atmospheric Transport Modeling Services

NASA Astrophysics Data System (ADS)

Morton, Don; Arnold, Dèlia

2015-04-01

We are developing a RESTful set of modeling services for the FLEXPART modeling system. FLEXPART (FLEXible PARTicle dispersion model) is a Lagrangian transport and dispersion model used by a growing international community. It has been used to simulate and forecast the atmospheric transport of wildfire smoke, volcanic ash and radionuclides and may be run in backwards mode to provide information for the determination of emission sources such as nuclear emissions and greenhouse gases. This open source software is distributed in source code form, and has several compiler and library dependencies that users need to address. Although well-documented, getting it compiled, set up, running, and post-processed is often tedious, making it difficult for the inexperienced or casual user. Well-designed modeling services lower the entry barrier for scientists to perform simulations, allowing them to create and execute their models from a variety of devices and programming environments. This world of Service Oriented Architectures (SOA) has progressed to a REpresentational State Transfer (REST) paradigm, in which the pervasive and mature HTTP environment is used as a foundation for providing access to model services. With such an approach, sound software engineering practises are adhered to in order to deploy service modules exhibiting very loose coupling with the clients. In short, services are accessed and controlled through the formation of properly-constructed Uniform Resource Identifiers (URI's), processed in an HTTP environment. In this way, any client or combination of clients - whether a bash script, Python program, web GUI, or even Unix command line - that can interact with an HTTP server, can run the modeling environment. This loose coupling allows for the deployment of a variety of front ends, all accessing a common modeling backend system. Furthermore, it is generally accepted in the cloud computing community that RESTful approaches constitute a sound approach towards successful deployment of services. Through the design of a RESTful, cloud-based modeling system, we provide the ubiquitous access to FLEXPART that allows scientists to focus on modeling processes instead of tedious computational details. In this work, we describe the modeling services environment, and provide examples of access via command-line, Python programs, and web GUI interfaces.

Microbial competition in porous environments can select against rapid biofilm growth

PubMed Central

Coyte, Katharine Z.; Tabuteau, Hervé; Gaffney, Eamonn A.; Durham, William M.

2017-01-01

Microbes often live in dense communities called biofilms, where competition between strains and species is fundamental to both evolution and community function. Although biofilms are commonly found in soil-like porous environments, the study of microbial interactions has largely focused on biofilms growing on flat, planar surfaces. Here, we use microfluidic experiments, mechanistic models, and game theory to study how porous media hydrodynamics can mediate competition between bacterial genotypes. Our experiments reveal a fundamental challenge faced by microbial strains that live in porous environments: cells that rapidly form biofilms tend to block their access to fluid flow and redirect resources to competitors. To understand how these dynamics influence the evolution of bacterial growth rates, we couple a model of flow–biofilm interaction with a game theory analysis. This investigation revealed that hydrodynamic interactions between competing genotypes give rise to an evolutionarily stable growth rate that stands in stark contrast with that observed in typical laboratory experiments: cells within a biofilm can outcompete other genotypes by growing more slowly. Our work reveals that hydrodynamics can profoundly affect how bacteria compete and evolve in porous environments, the habitat where most bacteria live. PMID:28007984

Controlled Environments Enable Adaptive Management in Aquatic Ecosystems Under Altered Environments

NASA Technical Reports Server (NTRS)

Bubenheim, David L.

2016-01-01

Ecosystems worldwide are impacted by altered environment conditions resulting from climate, drought, and land use changes. Gaps in the science knowledge base regarding plant community response to these novel and rapid changes limit both science understanding and management of ecosystems. We describe how CE Technologies have enabled the rapid supply of gap-filling science, development of ecosystem simulation models, and remote sensing assessment tools to provide science-informed, adaptive management methods in the impacted aquatic ecosystem of the California Sacramento-San Joaquin River Delta. The Delta is the hub for California's water, supplying Southern California agriculture and urban communities as well as the San Francisco Bay area. The changes in environmental conditions including temperature, light, and water quality and associated expansion of invasive aquatic plants negatively impact water distribution and ecology of the San Francisco Bay/Delta complex. CE technologies define changes in resource use efficiencies, photosynthetic productivity, evapotranspiration, phenology, reproductive strategies, and spectral reflectance modifications in native and invasive species in response to altered conditions. We will discuss how the CE technologies play an enabling role in filling knowledge gaps regarding plant response to altered environments, parameterization and validation of ecosystem models, development of satellite-based, remote sensing tools, and operational management strategies.

An assessment of US microbiome research.

PubMed

Stulberg, Elizabeth; Fravel, Deborah; Proctor, Lita M; Murray, David M; LoTempio, Jonathan; Chrisey, Linda; Garland, Jay; Goodwin, Kelly; Graber, Joseph; Harris, M Camille; Jackson, Scott; Mishkind, Michael; Porterfield, D Marshall; Records, Angela

2016-01-11

Genome-enabled technologies have supported a dramatic increase in our ability to study microbial communities in environments and hosts. Taking stock of previously funded microbiome research can help to identify common themes, under-represented areas and research priorities to consider moving forward. To assess the status of US microbiome research, a team of government scientists conducted an analysis of federally funded microbiome research. Microbiomes were defined as host-, ecosystem- or habitat-associated communities of microorganisms, and microbiome research was defined as those studies that emphasize community-level analyses using 'omics technologies. Single pathogen, single strain and culture-based studies were not included, except symbiosis studies that served as models for more complex communities. Fourteen governmental organizations participated in the data call. The analysis examined three broad research themes, eight environments and eight microbial categories. Human microbiome research was larger than any other environment studied, and the basic biology research theme accounted for half of the total research activities. Computational biology and bioinformatics, reference databases and biorepositories, standardized protocols and high-throughput tools were commonly identified needs. Longitudinal and functional studies and interdisciplinary research were also identified as needs. This study has implications for the funding of future microbiome research, not only in the United States but beyond.

The role of drought- and disturbance-mediated competition in shaping community responses to varied environments.

PubMed

Napier, Joseph D; Mordecai, Erin A; Heckman, Robert W

2016-06-01

By altering the strength of intra- and interspecific competition, droughts may reshape plant communities. Furthermore, species may respond differently to drought when other influences, such as herbivory, are considered. To explore this relationship, we conducted a greenhouse experiment measuring responses to inter- and intraspecific competition for two grasses, Schedonorus arundinaceus and Paspalum dilatatum, while varying water availability and simulating herbivory via clipping. We then parameterized population growth models to examine the long-term outcome of competition under these conditions. Under drought, S. arundinaceus was less water stressed than P. dilatatum, which exhibited severe water stress; clipping alleviated this stress, increasing the competitive ability of P. dilatatum relative to S. arundinaceus. Although P. dilatatum competed weakly under drought, clipping reduced water stress in P. dilatatum, thereby enhancing its ability to compete with S. arundinaceus under drought. Supporting these observations, population growth models predicted that P. dilatatum would exclude S. arundinaceus when clipped under drought, while S. arundinaceus would exclude P. dilatatum when unclipped under drought. When the modeled environment varied temporally, environmental variation promoted niche differences that, though insufficient to maintain stable coexistence, prevented unconditional competitive exclusion by promoting priority effects. Our results suggest that it is important to consider how species respond not just to stable, but also to variable, environments. When species differ in their responses to drought, competition, and simulated herbivory, stable environments may promote competitive exclusion, while fluctuating environments may promote coexistence. These interactions are critical to understanding how species will respond to global change.

Metabolic Network Modeling for Computer-Aided Design of Microbial Interactions

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

Song, Hyun-Seob; Nelson, William C.; Lee, Joon-Yong

Interest in applying microbial communities to biotechnology continues to increase. Successful engineering of microbial communities requires a fundamental shift in focus from enhancing metabolic capabilities in individual organisms to promoting synergistic interspecies interactions. This goal necessitates in silico tools that provide a predictive understanding of how microorganisms interact with each other and their environments. In this regard, we highlight a need for a new concept that we have termed biological computer-aided design of interactions (BioCADi). We ground this discussion within the context of metabolic network modeling.

3D environment modeling and location tracking using off-the-shelf components

NASA Astrophysics Data System (ADS)

Luke, Robert H.

2016-05-01

The remarkable popularity of smartphones over the past decade has led to a technological race for dominance in market share. This has resulted in a flood of new processors and sensors that are inexpensive, low power and high performance. These sensors include accelerometers, gyroscope, barometers and most importantly cameras. This sensor suite, coupled with multicore processors, allows a new community of researchers to build small, high performance platforms for low cost. This paper describes a system using off-the-shelf components to perform position tracking as well as environment modeling. The system relies on tracking using stereo vision and inertial navigation to determine movement of the system as well as create a model of the environment sensed by the system.

Fire and climate suitability for woody vegetation communities in the south central United States

USGS Publications Warehouse

Stroh, Esther; Struckhoff, Matthew; Stambaugh, Michael C.; Guyette, Richard P.

2018-01-01

using a physical chemistry fire frequency model. We then used the fire probability data with additional climate parameters to construct maximum entropy environmental suitability models for three south central US vegetation communities. The modeled communities included an oak type (dominated by post oak, Quercus stellata Wangenh., and blackjack oak, Q. marilandica Münchh.), a mesquite type (dominated by honey mesquite, Prosopis glandulosa Torr., and velvet mesquite, P. velutina Wooton), and a pinyon−juniper type (dominated by pinyon pine, Pinus edulis Engelm., and Utah juniper, Juniperus osteosperma [Torr.] Little). We mapped baseline and future mean fire-climate suitability using data from three global climate models for 2040 to 2069 and 2070 to 2099; we also mapped future locations of threshold conditions for which all three models agreed on suitability for each community. Future projections included northward, southward, and eastward shifts in suitable conditions for the oaks along a broad path of fire-climate stability; an overall reduction in suitable area for historic mesquite communities coupled with potential expansion to new areas; and constriction and isolation of suitable conditions for pinyon−juniper communities. The inclusion of fire probability adds an important driver of vegetation distribution to climate envelope modeling. The simple models showed good fit, but future projections failed to account for future management activities or land use changes. Results provided information on potential future de-coupling and spatial re-arrangement of environmental conditions under which these communities have historically persisted and been managed. In particular, consensus threshold maps can inform long-term planning for maintenance or restoration of these communities, and they can be used as a potential tool for other communities in fire-prone environments within the study area and beyond its borders.

E-Model for Online Learning Communities.

PubMed

Rogo, Ellen J; Portillo, Karen M

2015-10-01

The purpose of this study was to explore the students' perspectives on the phenomenon of online learning communities while enrolled in a graduate dental hygiene program. A qualitative case study method was designed to investigate the learners' experiences with communities in an online environment. A cross-sectional purposive sampling method was used. Interviews were the data collection method. As the original data were being analyzed, the researchers noted a pattern evolved indicating the phenomenon developed in stages. The data were re-analyzed and validated by 2 member checks. The participants' experiences revealed an e-model consisting of 3 stages of formal learning community development as core courses in the curriculum were completed and 1 stage related to transmuting the community to an informal entity as students experienced the independent coursework in the program. The development of the formal learning communities followed 3 stages: Building a Foundation for the Learning Community, Building a Supportive Network within the Learning Community and Investing in the Community to Enhance Learning. The last stage, Transforming the Learning Community, signaled a transition to an informal network of learners. The e-model was represented by 3 key elements: metamorphosis of relationships, metamorphosis through the affective domain and metamorphosis through the cognitive domain, with the most influential element being the affective development. The e-model describes a 4 stage process through which learners experience a metamorphosis in their affective, relationship and cognitive development. Synergistic learning was possible based on the interaction between synergistic relationships and affective actions. Copyright © 2015 The American Dental Hygienists’ Association.

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

PubMed

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

2015-10-01

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

The Obesity Prevention Initiative: A Statewide Effort to Improve Child Health in Wisconsin.

PubMed

Adams, Alexandra K; Christens, Brian; Meinen, Amy; Korth, Amy; Remington, Patrick L; Lindberg, Sara; Schoeller, Dale

2016-11-01

Obesity rates have increased dramatically, especially among children and disadvantaged populations. Obesity is a complex issue, creating a compelling need for prevention efforts in communities to move from single isolated programs to comprehensive multisystem interventions. To address these issues, we have established a childhood Obesity Prevention Initiative (Initiative) for Wisconsin. This Initiative seeks to test community change frameworks that can support multisystem interventions and provide data for local action as a means for influencing policies, systems, and environments that support individuals’ healthy eating and physical activity. The Initiative is comprised of three components: (1) infrastructure to support a statewide obesity prevention and health promotion network with state- and local-level public messaging and dissemination of evidence-based solutions (healthTIDE); (2) piloting a local, multisetting community-led intervention study in 2 Wisconsin counties; and (3) developing a geocoded statewide childhood obesity and fitness surveillance system. This Initiative is using a new model that involves both coalition action and community organizing to align resources to achieve health improvement at local and state levels. We expect that it will help lead to the implementation of cohesive and sustainable policy, system, and environment health promotion and obesity prevention strategies in communities statewide, and it has the potential to help Wisconsin become a national model for multisetting community interventions to address obesity. Addressing individual-level health through population-level changes ultimately will result in reductions in the prevalence of childhood obesity, current and future health care costs, and chronic disease mortality.

The Obesity Prevention Initiative: A Statewide Effort to Improve Child Health in Wisconsin.

PubMed

Adams, Alexandra K; Christens, Brian; Meinen, Amy; Korth, Amy; Remington, Patrick L; Lindberg, Sara; Schoeller, Dale

2016-11-01

Obesity rates have increased dramatically, especially among children and disadvantaged populations. Obesity is a complex issue, creating a compelling need for prevention efforts in communities to move from single isolated programs to comprehensive multisystem interventions. To address these issues, we have established a childhood Obesity Prevention Initiative (Initiative) for Wisconsin. This Initiative seeks to test community change frameworks that can support multisystem interventions and provide data for local action as a means for influencing policies, systems, and environments that support individuals' healthy eating and physical activity. The Initiative is comprised of three components: (1) infrastructure to support a statewide obesity prevention and health promotion network with state- and local-level public messaging and dissemination of evidence-based solutions (healthTIDE); (2) piloting a local, multisetting community-led intervention study in 2 Wisconsin counties; and (3) developing a geocoded statewide childhood obesity and fitness surveillance system. This Initiative is using a new model that involves both coalition action and community organizing to align resources to achieve health improvement at local and state levels. We expect that it will help lead to the implementation of cohesive and sustainable policy, system, and environment health promotion and obesity prevention strategies in communities statewide, and it has the potential to help Wisconsin become a national model for multisetting community interventions to address obesity. Addressing individual-level health through population-level changes ultimately will result in reductions in the prevalence of childhood obesity, current and future health care costs, and chronic disease mortality.

Antagonistic interactions are sufficient to explain self-assemblage of bacterial communities in a homogeneous environment: a computational modeling approach

PubMed Central

Zapién-Campos, Román; Olmedo-Álvarez, Gabriela; Santillán, Moisés

2015-01-01

Most of the studies in Ecology have been devoted to analyzing the effects the environment has on individuals, populations, and communities, thus neglecting the effects of biotic interactions on the system dynamics. In the present work we study the structure of bacterial communities in the oligotrophic shallow water system of Churince, Cuatro Cienegas, Mexico. Since the physicochemical conditions of this water system are homogeneous and quite stable in time, it is an excellent candidate to study how biotic factors influence the structure of bacterial communities. In a previous study, the binary antagonistic interactions of 78 bacterial strains, isolated from Churince, were experimentally determined. We employ these data to develop a computer algorithm to simulate growth experiments in a cellular grid representing the pond. Remarkably, in our model, the dynamics of all the simulated bacterial populations is determined solely by antagonistic interactions. Our results indicate that all bacterial strains (even those that are antagonized by many other bacteria) survive in the long term, and that the underlying mechanism is the formation of bacterial community patches. Patches corresponding to less antagonistic and highly susceptible strains are consistently isolated from the highly-antagonistic bacterial colonies by patches of neutral strains. These results concur with the observed features of the bacterial community structure previously reported. Finally, we study how our findings depend on factors like initial population size, differential population growth rates, homogeneous population death rates, and enhanced bacterial diffusion. PMID:26052318

Increasing community health worker productivity and effectiveness: a review of the influence of the work environment

PubMed Central

2012-01-01

Background Community health workers (CHWs) are increasingly recognized as a critical link in improving access to services and achieving the health-related Millennium Development Goals. Given the financial and human resources constraints in developing countries, CHWs are expected to do more without necessarily receiving the needed support to do their jobs well. How much can be expected of CHWs before work overload and reduced organizational support negatively affect their productivity, the quality of services, and in turn the effectiveness of the community-based programmes that rely on them? This article presents policy-makers and programme managers with key considerations for a model to improve the work environment as an important approach to increase CHW productivity and, ultimately, the effectiveness of community-based strategies. Methods A desk review of selective published and unpublished articles and reports on CHW programs in developing countries was conducted to analyse and organize findings on the elements that influence CHW productivity. The search was not exhaustive but rather was meant to gather information on general themes that run through the various documents to generate perspectives on the issue and provide evidence on which to formulate ideas. After an initial search for key terminology related to CHW productivity, a snowball technique was used where a reference in one article led to the discovery of additional documents and reports. Results CHW productivity is determined in large part by the conditions under which they work. Attention to the provision of an enabling work environment for CHWs is essential for achieving high levels of productivity. We present a model in which the work environment encompasses four essential elements—workload, supportive supervision, supplies and equipment, and respect from the community and the health system—that affect the productivity of CHWs. We propose that when CHWs have a manageable workload in terms of a realistic number of tasks and clients, an organized manner of carrying out these tasks, a reasonable geographic distance to cover, the needed supplies and equipment, a supportive supervisor, and respect and acceptance from the community and the health system, they can function more productively and contribute to an effective community-based strategy. Conclusions As more countries look to scale up CHW programmes or shift additional tasks to CHWs, it is critical to pay attention to the elements that affect CHW productivity during programme design as well as implementation. An enabling work environment is crucial to maximize CHW productivity. Policy-makers, programme managers, and other stakeholders need to carefully consider how the productivity elements related to the work environment are defined and incorporated in the overall CHW strategy. Establishing a balance among the four elements that constitute a CHW’s work environment will help make great strides in improving the effectiveness and quality of the services provided by CHWs. PMID:23017131

Healthful eating and physical activity in the home environment: results from multifamily focus groups.

PubMed

Berge, Jerica M; Arikian, Aimee; Doherty, William J; Neumark-Sztainer, Dianne

2012-01-01

To explore multiple family members' perceptions of risk and protective factors for healthful eating and physical activity in the home. Ten multifamily focus groups were conducted with 26 families. Community setting with primarily black and white families. Family members (n = 103) were aged 8 to 61 years. Risk and protective factors for healthful eating and physical activity in the home environment. A grounded hermeneutic approach. Ten major themes were identified by family members related to health behaviors in the home environment, including accessibility to healthful foods and activity, time constraints, stage of youth development, individual investment in health behaviors, family investment in health behaviors, family meals and shared activities, parent modeling, making health behaviors fun, making health behaviors part of the family lifestyle, and community investment in family health behaviors. This study identified the importance of the family system and the reciprocal influences within the home environment on health behaviors. In addition, individual and community-level suggestions were identified. Insights from the families provide leads for future research and ideas for the prevention of youth obesity. Copyright © 2012 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

Quantifying the physical, social and attitudinal environment of children with cerebral palsy.

PubMed

Dickinson, Heather O; Colver, Allan

2011-01-01

To develop an instrument to represent the availability of needed environmental features (EFs) in the physical, social and attitudinal environment of home, school and community for children with cerebral palsy. Following a literature review and qualitative studies, the European Child Environment Questionnaire (ECEQ) was developed to capture whether EFs needed by children with cerebral palsy were available to them: 24, 24 and 12 items related to the physical, social and attitudinal environments, respectively. The ECEQ was administered to parents of 818 children with cerebral palsy aged 8-12 years, in seven European countries. A domain structure was developed using factor analysis. Parents responded to 98% of items. Seven items were omitted from statistical models as the EFs they referred to were available to most children who needed them; two items were omitted as they did not fit well into plausible domains. The final domains, based on 51 items, were: Transport, Physical - home, Physical - community, Physical - school, Social support - home, Social support - community, Attitudes - family and friends, Attitudes - teachers and therapists, Attitudes - classmates. ECEQ was acceptable to parents and can be used to assess both the access children with cerebral palsy have to the EFs that they need and how available individual EFs are.

From the bush to the big smoke--development of a hybrid urban community based medical education program in the Northern Territory, Australia.

PubMed

Morgan, S; Smedts, A; Campbell, N; Sager, R; Lowe, M; Strasser, S

2009-01-01

The Northern Territory (NT) of Australia is a unique setting for training medical students. This learning environment is characterised by Aboriginal health and an emphasis on rural and remote primary care practice. For over a decade the NT Clinical School (NTCS) of Flinders University has been teaching undergraduate medical students in the NT. Community based medical education (CBME) has been demonstrated to be an effective method of learning medicine, particularly in rural settings. As a result, it is rapidly gaining popularity in Australia and other countries. The NTCS adopted this model some years ago with the implementation of its Rural Clinical School; however, urban models of CBME are much less well developed than those in rural areas. There is considerable pressure to better incorporate CBME into medical student teaching environment, particularly because of the projected massive increase in student numbers over the next few years. To date, the community setting of urban Darwin, the NT capital city, has not been well utilised for medical student training. In 2008, the NTCS enrolled its first cohort of students in a new hybrid CBME program based in urban Darwin. This report describes the process and challenges involved in development of the program, including justification for a hybrid model and the adaptation of a rural model to an urban setting. Relationships were established and formalised with key partners and stakeholders, including GPs and general practices, Aboriginal medical services, community based healthcare providers and other general practice and community organisations. Other significant issues included curriculum development and review, development of learning materials and the establishment of robust evaluation methods. Development of the CBME model in Darwin posed a number of key challenges. Although the experience of past rural programs was useful, a number of distinct differences were evident in the urban setting. Change leadership and inter-professional collaboration were key strengths in the implementation and ongoing evaluation of the program. The program will provide important information about medical student training in urban community settings, and help inform other clinical schools considering the adoption of similar models.

Fitting population models from field data

USGS Publications Warehouse

Emlen, J.M.; Freeman, D.C.; Kirchhoff, M.D.; Alados, C.L.; Escos, J.; Duda, J.J.

2003-01-01

The application of population and community ecology to solving real-world problems requires population and community dynamics models that reflect the myriad patterns of interaction among organisms and between the biotic and physical environments. Appropriate models are not hard to construct, but the experimental manipulations needed to evaluate their defining coefficients are often both time consuming and costly, and sometimes environmentally destructive, as well. In this paper we present an empirical approach for finding the coefficients of broadly inclusive models without the need for environmental manipulation, demonstrate the approach with both an animal and a plant example, and suggest possible applications. Software has been developed, and is available from the senior author, with a manual describing both field and analytic procedures.

The cryptoendolithic microbial environment in the Ross Desert of Antarctica: mathematical models of the thermal regime

NASA Technical Reports Server (NTRS)

Nienow, J. A.; McKay, C. P.; Friedmann, E. I.

1988-01-01

Microbial activity in the Antarctic cryptoendolithic habitat is regulated primarily by temperature. Previous field studies have provided some information on the thermal regime in this habitat, but this type of information is limited by the remoteness of the site and the harsh climatic conditions. Therefore, a mathematical model of the endolithic thermal regime was constructed to augment the field data. This model enabled the parameters affecting the horizontal and altitudinal distribution of the community to be examined. The model predicts that colonization should be possible on surfaces with zenith angle less than 15 degrees. At greater zenith angles, colonization should be restricted to surfaces with azimuth angles less than 135 degrees or greater than 225 degrees. The upper elevational limit of the community should be less than 2,500 m. The thermal regime probably does not influence the zonation of the community within a rock.

A Web 2.0 Personal Learning Environment for Classical Chinese Poetry

NASA Astrophysics Data System (ADS)

Cao, Yiwei; Klamma, Ralf; Gao, Yan; Lau, Rynson W. H.; Jarke, Matthias

Classical Chinese Poetry (CCP) is a valuable but almost locked treasure chest of human wisdom and civilization since 2000 years. With the advent of the Web 2.0 a renaissance of CCP is possible even outside Chinese-speaking communities world-wide. With mobile technologies and educational games we can address new learning communities for CCP and open the chest again. In this paper, we introduce a Web 2.0 personal learning environment for CCP. We have developed a generic and interoperable data model for CCP we utilize not only for mobile learning scenarios but also for educational gaming with different levels of difficulty. Learners are empowered to learn Chinese poetry, language, history, and culture. This research work shows how modern information technologies assist users to diffuse knowledge across the borderlines of communities and societies.

A critical issue in model-based inference for studying trait-based community assembly and a solution.

PubMed

Ter Braak, Cajo J F; Peres-Neto, Pedro; Dray, Stéphane

2017-01-01

Statistical testing of trait-environment association from data is a challenge as there is no common unit of observation: the trait is observed on species, the environment on sites and the mediating abundance on species-site combinations. A number of correlation-based methods, such as the community weighted trait means method (CWM), the fourth-corner correlation method and the multivariate method RLQ, have been proposed to estimate such trait-environment associations. In these methods, valid statistical testing proceeds by performing two separate resampling tests, one site-based and the other species-based and by assessing significance by the largest of the two p -values (the p max test). Recently, regression-based methods using generalized linear models (GLM) have been proposed as a promising alternative with statistical inference via site-based resampling. We investigated the performance of this new approach along with approaches that mimicked the p max test using GLM instead of fourth-corner. By simulation using models with additional random variation in the species response to the environment, the site-based resampling tests using GLM are shown to have severely inflated type I error, of up to 90%, when the nominal level is set as 5%. In addition, predictive modelling of such data using site-based cross-validation very often identified trait-environment interactions that had no predictive value. The problem that we identify is not an "omitted variable bias" problem as it occurs even when the additional random variation is independent of the observed trait and environment data. Instead, it is a problem of ignoring a random effect. In the same simulations, the GLM-based p max test controlled the type I error in all models proposed so far in this context, but still gave slightly inflated error in more complex models that included both missing (but important) traits and missing (but important) environmental variables. For screening the importance of single trait-environment combinations, the fourth-corner test is shown to give almost the same results as the GLM-based tests in far less computing time.

A pilot study of Aboriginal health promotion from an ecological perspective

PubMed Central

2011-01-01

Background For health promotion to be effective in Aboriginal and Torres Strait Islander Communities, interventions (and their evaluation) need to work within a complex social environment and respect Indigenous knowledge, culture and social systems. At present, there is a lack of culturally appropriate evaluation methods available to practitioners that are capable of capturing this complexity. As an initial response to this problem, we used two non-invasive methods to evaluate a community-directed health promotion program, which aimed to improve nutrition and physical activity for members of the Aboriginal community of the Goulburn-Murray region of northern Victoria, Australia. The study addressed two main questions. First, for members of an Aboriginal sporting club, what changes were made to the nutrition environment in which they meet and how is this related to national guidelines for minimising the risk of chronic disease? Second, to what degree was the overall health promotion program aligned with an ecological model of health promotion that addresses physical, social and policy environments as well as individual knowledge and behaviour? Methods Rather than monitoring individual outcomes, evaluation methods reported on here assessed change in the nutrition environment (sports club food supply) as a facilitator of dietary change and the 'ecological' nature of the overall program (that is, its complexity with respect to numbers of targets, settings and strategies). Results There were favourable changes towards the provision of a food supply consistent with Australian guidelines at the sports club. The ecological analysis indicated that the design and implementation of the program were consistent with an ecological model of health promotion. Conclusions The evaluation was useful for assessing the impact of the program on the nutrition environment and for understanding the ecological nature of program activities. PMID:21961906

Knowledge Management in Sustainability Research Projects: Concepts, Effective Models, and Examples in a Multi-Stakeholder Environment

ERIC Educational Resources Information Center

Kaiser, David Brian; Köhler, Thomas; Weith, Thomas

2016-01-01

This article aims to sketch a conceptual design for an information and knowledge management system in sustainability research projects. The suitable frameworks to implement knowledge transfer models constitute social communities, because the mutual exchange and learning processes among all stakeholders promote key sustainable developments through…

model outputs

EPA Pesticide Factsheets

Figures 1-10 and Table 1This dataset is associated with the following publication:Chang, S.Y., S. Arunachalam, A. Valencia, B. Naess, V. Isakov , M. Breen , T. Palma , and W. Vizuete. A modeling framework for characterizing near-road air pollutant concentration at community scales. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 538: 905-921, (2015).

Beyond these walls: Can psychosocial clubhouses promote the social integration of adults with serious mental illness in the community?

PubMed

Gumber, Shinakee; Stein, Catherine H

2018-03-01

The study examined factors associated with community integration experiences of adults with serious mental illness who were members of psychosocial rehabilitation clubhouses in New York City. Ninety-two clubhouse members completed an online survey. The study examined relative contribution of adults' reports of individual factors (self-reported psychiatric symptoms, self-esteem), community supports (self-reported employment status and perceived family support), and the clubhouse environment (self-reported time spent in the clubhouse, clubhouse supportiveness, and practical orientation) in accounting for variation in members' reports of social integration within the clubhouse and within the larger community. Hierarchical linear regression results suggest a differential pattern of variables associated with participants' experience of social integration within the clubhouse versus outside the clubhouse with the larger non-mental-health consumers. Adults' reports of more time spent in the clubhouse and perceptions of clubhouse environment as having a more practical orientation were associated with adults' reports of greater social integration within the clubhouse. In contrast, greater self-esteem and being independently employed were associated with greater social integration outside the clubhouse. Perceived family support was associated with higher levels of social integration both within and outside the clubhouse setting. Conclusion and Implication for Practice: Greater social integration of clubhouse members both in and outside the clubhouse environment is essential in understanding community integration. Recommendations for the clubhouse model to improve community integration experiences of its members are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Analysis of the relationship between community characteristics and depression using geographically weighted regression.

PubMed

Choi, Hyungyun; Kim, Ho

2017-01-01

Achieving national health equity is currently a pressing issue. Large regional variations in the health determinants are observed. Depression, one of the most common mental disorders, has large variations in incidence among different populations, and thus must be regionally analyzed. The present study aimed at analyzing regional disparities in depressive symptoms and identifying the health determinants that require regional interventions. Using health indicators of depression in the Korea Community Health Survey 2011 and 2013, the Moran's I was calculated for each variable to assess spatial autocorrelation, and a validated geographically weighted regression analysis using ArcGIS version 10.1 of different domains: health behavior, morbidity, and the social and physical environments were created, and the final model included a combination of significant variables in these models. In the health behavior domain, the weekly breakfast intake frequency of 1-2 times was the most significantly correlated with depression in all regions, followed by exposure to secondhand smoke and the level of perceived stress in some regions. In the morbidity domain, the rate of lifetime diagnosis of myocardial infarction was the most significantly correlated with depression. In the social and physical environment domain, the trust environment within the local community was highly correlated with depression, showing that lower the level of trust, higher was the level of depression. A final model was constructed and analyzed using highly influential variables from each domain. The models were divided into two groups according to the significance of correlation of each variable with the experience of depression symptoms. The indicators of the regional health status are significantly associated with the incidence of depressive symptoms within a region. The significance of this correlation varied across regions.

Microbial community assembly patterns under incipient conditions in a basaltic soil system

NASA Astrophysics Data System (ADS)

Sengupta, A.; Stegen, J.; Alves Meira Neto, A.; Wang, Y.; Chorover, J.; Troch, P. A. A.; Maier, R. M.

2017-12-01

In sub-surface environments, the biotic components are critically linked to the abiotic processes. However, there is limited understanding of community establishment, functional associations, and community assembly processes of such microbes in sub-surface environments. This study presents the first analysis of microbial signatures in an incipient terrestrial basalt soil system conducted under controlled conditions. A sub-meter scale sampling of a soil mesocosm revealed the contrasting distribution patterns of simple soil parameters such as bulk density and electrical conductivity. Phylogenetic analysis of 16S rRNA gene indicated the presence of a total 40 bacterial and archaeal phyla, with high relative abundance of Actinobacteria on the surface and highest abundance of Proteobacteria throughout the system. Community diversity patterns were inferred to be dependent on depth profile and average water content in the system. Predicted functional gene analysis suggested mixotrophy lifestyles with both autotrophic and heterotrophic metabolisms, likelihood of a unique salt tolerant methanogenic pathway with links to novel Euryarchea, signatures of an incomplete nitrogen cycle, and predicted enzymes of extracellular iron (II) to iron (III) conversion followed by intracellular uptake, transport and regulation. Null modeling revealed microbial community assembly was predominantly governed by variable selection, but the influence of the variable selection did not show systematic spatial structure. The presence of significant heterogeneity in predicted functions and ecologically deterministic shifts in community composition in a homogeneous incipient basalt highlights the complexity exhibited by microorganisms even in the simplest of environmental systems. This presents an opportunity to further develop our understanding of how microbial communities establish, evolve, impact, and respond in sub-surface environments.

An Exploration of Interrelationships among Presence Indicators of a Community of Inquiry in a 3D Game-Like Environment for High School Programming Courses

ERIC Educational Resources Information Center

Pellas, Nikolaos

2017-01-01

The combination of Open Sim and Scratch4OS can be a worthwhile innovation for introductory programming courses, using a Community of Inquiry (CoI) model as a theoretical instructional design framework. This empirical study had a threefold purpose to present: (a) an instructional design framework for the beneficial formalization of a virtual…

Value Added: Learning Communities, Experiential Process and Student Engagement in Life Long Learning in the Culinary Arts

ERIC Educational Resources Information Center

Smyth, Thomas J.

2016-01-01

Culinary Arts training at the associates level presents a set of challenges to the instructor. It has been my experience that as the work environment is changing, students face new challenges in the kitchen, including a new mix of skills, both technical and social in nature. In this piece, I reflect on a promising learning community model at our…

LLMapReduce: Multi-Lingual Map-Reduce for Supercomputing Environments

DTIC Science & Technology

2015-11-20

1990s. Popularized by Google [36] and Apache Hadoop [37], map-reduce has become a staple technology of the ever- growing big data community...Lexington, MA, U.S.A Abstract— The map-reduce parallel programming model has become extremely popular in the big data community. Many big data ...to big data users running on a supercomputer. LLMapReduce dramatically simplifies map-reduce programming by providing simple parallel programming

The conjoint influence of home enriched environment and lead exposure on children's cognition and behaviour in a Mexican lead smelter community.

PubMed

Moodie, Sue; Ialongo, Nick; López, Patricia; Rosado, Jorge; García-Vargas, Gonzalo; Ronquillo, Dolores; Kordas, Katarzyna

2013-01-01

A range of studies has been conducted on the detrimental effects of lead in mining and smelting communities. The neurocognitive and behavioural health effects of lead on children are well known. This research characterized the conjoint influence of lead exposure and home enriched environment on neurocognitive function and behaviour for first-grade children living in a Mexican lead smelter community. Structural equation models were used for this analysis with latent outcome variables, Cognition and Behaviour, constructed based on a battery of assessments administered to the first-grade children, their parents, and teachers. Structural equation modelling was used to describe complex relationships of exposure and health outcomes in a manner that permitted partition of both direct and indirect effects of the factors being measured. Home Environment (a latent variable constructed from information on mother's education and support of school work and extracurricular activities), and child blood lead concentration each had a main significant effect on cognition and behaviour. However, there were no statistically significant moderation relationships between lead and Home Environment on these latent outcomes. Home Environment had a significant indirect mediation effect between lead and both Cognition and Behaviour (p-value<0.001). The mediation model had a good fit with Root Mean Square Error of Approximation <0.0001 and a Weighted Root Mean Square Residual of 0.895. These results were highly significant and suggest that Home Environment has a moderate mediation effect with respect to lead effects on Behaviour (β=0.305) and a lower mediation effect on Cognition (β=0.184). The extent of home enrichment in this study was most highly related to the mother's support of schoolwork and slightly less by the mother's support of extracurricular activities or mother's education. Further research may be able to develop approaches to support families to make changes within their home and child rearing practices, or advocate for different approaches to support their child's behaviour to reduce the impact of lead exposure on children's cognitive and behavioural outcomes. Copyright © 2012 Elsevier Inc. All rights reserved.

Barriers and facilitators to recovering from e-prescribing errors in community pharmacies.

PubMed

Odukoya, Olufunmilola K; Stone, Jamie A; Chui, Michelle A

2015-01-01

To explore barriers and facilitators to recovery from e-prescribing errors in community pharmacies and to explore practical solutions for work system redesign to ensure successful recovery from errors. Cross-sectional qualitative design using direct observations, interviews, and focus groups. Five community pharmacies in Wisconsin. 13 pharmacists and 14 pharmacy technicians. Observational field notes and transcribed interviews and focus groups were subjected to thematic analysis guided by the Systems Engineering Initiative for Patient Safety (SEIPS) work system and patient safety model. Barriers and facilitators to recovering from e-prescription errors in community pharmacies. Organizational factors, such as communication, training, teamwork, and staffing levels, play an important role in recovering from e-prescription errors. Other factors that could positively or negatively affect recovery of e-prescription errors include level of experience, knowledge of the pharmacy personnel, availability or usability of tools and technology, interruptions and time pressure when performing tasks, and noise in the physical environment. The SEIPS model sheds light on key factors that may influence recovery from e-prescribing errors in pharmacies, including the environment, teamwork, communication, technology, tasks, and other organizational variables. To be successful in recovering from e-prescribing errors, pharmacies must provide the appropriate working conditions that support recovery from errors.

Modeling Social Capital as Dynamic Networks to Promote Access to Oral Healthcare

PubMed Central

Northridge, Mary E.; Kunzel, Carol; Zhang, Qiuyi; Kum, Susan S.; Gilbert, Jessica L.; Jin, Zhu; Metcalf, Sara S.

2016-01-01

Social capital, as comprised of human connections in social networks and their associated benefits, is closely related to the health of individuals, communities, and societies at large. For disadvantaged population groups such as older adults and racial/ethnic minorities, social capital may play a particularly critical role in mitigating the negative effects and reinforcing the positive effects on health. In this project, we model social capital as both cause and effect by simulating dynamic networks. Informed in part by a community-based health promotion program, an agent-based model is contextualized in a GIS environment to explore the complexity of social disparities in oral and general health as experienced at the individual, interpersonal, and community scales. This study provides the foundation for future work investigating how health and healthcare accessibility may be influenced by social networks. PMID:27668298

Modeling Social Capital as Dynamic Networks to Promote Access to Oral Healthcare.

PubMed

Wang, Hua; Northridge, Mary E; Kunzel, Carol; Zhang, Qiuyi; Kum, Susan S; Gilbert, Jessica L; Jin, Zhu; Metcalf, Sara S

2016-01-01

Social capital, as comprised of human connections in social networks and their associated benefits, is closely related to the health of individuals, communities, and societies at large. For disadvantaged population groups such as older adults and racial/ethnic minorities, social capital may play a particularly critical role in mitigating the negative effects and reinforcing the positive effects on health. In this project, we model social capital as both cause and effect by simulating dynamic networks. Informed in part by a community-based health promotion program, an agent-based model is contextualized in a GIS environment to explore the complexity of social disparities in oral and general health as experienced at the individual, interpersonal, and community scales. This study provides the foundation for future work investigating how health and healthcare accessibility may be influenced by social networks.

Reducing Vulnerability of Coastal Communities to Coastal Hazards through Building Community Resilience

NASA Astrophysics Data System (ADS)

Bhj, Premathilake

2010-05-01

Reducing Vulnerability of Coastal Communities to Coastal Hazards through Building Community Resilience B H J Premathilake Coast Conservation Department Sri Lanka Email: bhjprem@yahoo.com This paper contains two parts; Part one describes the comprehensive approach adopted by our project to build social, economical, institutional and environmental resilience of the tsunami affected communities in Sri Lanka to cope with future natural disasters. Community development, Coastal resource management and Disaster management are the three pillars of this model and these were built simultaneously to bring the community into a higher level of resilience to coastal hazards. Second part describes the application of Coastal Community Resilience (CCR) Assessment framework to evaluate the progress achieved by the project in building overall resilience of the communities during its period. It further describes how to estimate the contribution of this specific project for the improved resilience status of the selected communities in a multi stakeholder environment.

Land use scenarios development and impacts assessment on vegetation carbon/nitrogen sequestration in the West African Sudan savanna watershed, Benin

NASA Astrophysics Data System (ADS)

Chabi, A.

2015-12-01

ackground: Reduced Emissions from Deforestation and Degradation (REDD+), being developed through the United Nations Framework Convention on Climate Change (UNFCCC) requires information on the carbon/nitrogen stocks in the plant biomass for predicting future climate under scenarios development. The development of land use scenarios in West Africa is needed to predict future impacts of change in the environment and the socio-economic status of rural communities. The study aims at developing land use scenario based on mitigation strategy to climate change as an issue of contributing for carbon and nitrogen sequestration, the condition 'food focused' as a scenario based crop production and 'financial investment' as scenario based on an economic development pathway, and to explore the possible future temporal and spatial impacts on vegetation carbon/nitrogen sequestration/emission and socio-economic status of rural communities. Preliminary results: BEN-LUDAS (Benin-Land Use DyNamic Simulator) model, carbon and nitrogen equations, remote sensing and socio-economic data were used to predict the future impacts of each scenario in the environment and human systems. The preliminary results which are under analysis will be presented soon. Conclusion: The proposed BEN-LUDAS models will help to contribute to policy decision making at the local and regional scale and to predict future impacts of change in the environment and socio-economic status of the rural communities. Keywords: Land use scenarios development, BEN-LUDAS, socio-economic status of rural communities, future impacts of change, assessment, West African Sudan savanna watershed, Benin

A comparison of random draw and locally neutral models for the avifauna of an English woodland.

PubMed

Dolman, Andrew M; Blackburn, Tim M

2004-06-03

Explanations for patterns observed in the structure of local assemblages are frequently sought with reference to interactions between species, and between species and their local environment. However, analyses of null models, where non-interactive local communities are assembled from regional species pools, have demonstrated that much of the structure of local assemblages remains in simulated assemblages where local interactions have been excluded. Here we compare the ability of two null models to reproduce the breeding bird community of Eastern Wood, a 16-hectare woodland in England, UK. A random draw model, in which there is complete annual replacement of the community by immigrants from the regional pool, is compared to a locally neutral community model, in which there are two additional parameters describing the proportion of the community replaced annually (per capita death rate) and the proportion of individuals recruited locally rather than as immigrants from the regional pool. Both the random draw and locally neutral model are capable of reproducing with significant accuracy several features of the observed structure of the annual Eastern Wood breeding bird community, including species relative abundances, species richness and species composition. The two additional parameters present in the neutral model result in a qualitatively more realistic representation of the Eastern Wood breeding bird community, particularly of its dynamics through time. The fact that these parameters can be varied, allows for a close quantitative fit between model and observed communities to be achieved, particularly with respect to annual species richness and species accumulation through time. The presence of additional free parameters does not detract from the qualitative improvement in the model and the neutral model remains a model of local community structure that is null with respect to species differences at the local scale. The ability of this locally neutral model to describe a larger number of woodland bird communities with either little variation in its parameters or with variation explained by features local to the woods themselves (such as the area and isolation of a wood) will be a key subsequent test of its relevance.

A multiple testing approach for hazard evaluation of complex mixtures in the aquatic environment: the use of diesel oil as a model

USGS Publications Warehouse

Johnson, B. Thomas

1989-01-01

Traditional single species toxicity tests and multiple component laboratory-scaled microcosm assays were combined to assess the toxicological hazard of diesel oil, a model complex mixture, to a model aquatic environment. The immediate impact of diesel oil dosed on a freshwater community was studied in a model pond microcosm over 14 days: a 7-day dosage and a 7-day recovery period. A multicomponent laboratory microcosm was designed to monitor the biological effects of diesel oil (1·0 mg litre−1) on four components: water, sediment (soil + microbiota), plants (aquatic macrophytes and algae), and animals (zooplanktonic and zoobenthic invertebrates). To determine the sensitivity of each part of the community to diesel oil contamination and how this model community recovered when the oil dissipated, limnological, toxicological, and microbiological variables were considered. Our model revealed these significant occurrences during the spill period: first, a community production and respiration perturbation, characterized in the water column by a decrease in dissolved oxygen and redox potential and a concomitant increase in alkalinity and conductivity; second, marked changes in microbiota of sediments that included bacterial heterotrophic dominance and a high heterotrophic index (0·6), increased bacterial productivity, and the marked increases in numbers of saprophytic bacteria (10 x) and bacterial oil degraders (1000 x); and third, column water acutely toxic (100% mortality) to two model taxa: Selenastrum capricornutum and Daphnia magna. Following the simulated clean-up procedure to remove the oil slick, the recovery period of this freshwater microcosm was characterized by a return to control values. This experimental design emphasized monitoring toxicological responses in aquatic microcosm; hence, we proposed the term ‘toxicosm’ to describe this approach to aquatic toxicological hazard evaluation. The toxicosm as a valuable toxicological tool for screening aquatic contaminants was demonstrated using diesel oil as a model complex mixture.

Does community type moderate the relationship between parent perceptions of the neighborhood and physical activity in children?

PubMed

Durand, Casey P; Dunton, Genevieve F; Spruijt-Metz, Donna; Pentz, Mary Ann

2012-01-01

To examine whether residing in a community designed to promote physical activity moderates the relationship between parent perceptions of the neighborhood and general physical activity or active commuting to school in their children. Cross-sectional. San Bernardino County, California. Three hundred sixty-five families (one parent and one child in grades four through eight). Eighty-five reside in a smart growth community designed to be more conducive to physical activity. Parent perceptions assessed using the Neighborhood Environment Walkability Scale (NEWS). General child physical activity was measured using accelerometers, and active commuting was self-reported by children. Two sets of regressions were performed: one for general physical activity, and one for active commuting. Separate models were run in the two sets for each of the 14 NEWS factors, while controlling for demographics. For general physical activity, walking infrastructure, lack of cul-de-sacs, and social interaction had significant main effect associations (p ≤ .05). No factors were moderated by community. The relationships between active commuting to school and perceived crime, traffic hazards, hilliness, physical barriers, cul-de-sac connectivity, aesthetics, and walking infrastructure were significant for those in the smart growth community only (p ≤ .05). Living in an activity-friendly environment is associated with positive relationships between parent perceptions and active commuting behaviors in children. Future interventions should account for both the perceived neighborhood environment and available physical activity infrastructure.

Beyond the continuum: a multi-dimensional phase space for neutral-niche community assembly.

PubMed

Latombe, Guillaume; Hui, Cang; McGeoch, Melodie A

2015-12-22

Neutral and niche processes are generally considered to interact in natural communities along a continuum, exhibiting community patterns bounded by pure neutral and pure niche processes. The continuum concept uses niche separation, an attribute of the community, to test the hypothesis that communities are bounded by pure niche or pure neutral conditions. It does not accommodate interactions via feedback between processes and the environment. By contrast, we introduce the Community Assembly Phase Space (CAPS), a multi-dimensional space that uses community processes (such as dispersal and niche selection) to define the limiting neutral and niche conditions and to test the continuum hypothesis. We compare the outputs of modelled communities in a heterogeneous landscape, assembled by pure neutral, pure niche and composite processes. Differences in patterns under different combinations of processes in CAPS reveal hidden complexity in neutral-niche community dynamics. The neutral-niche continuum only holds for strong dispersal limitation and niche separation. For weaker dispersal limitation and niche separation, neutral and niche processes amplify each other via feedback with the environment. This generates patterns that lie well beyond those predicted by a continuum. Inferences drawn from patterns about community assembly processes can therefore be misguided when based on the continuum perspective. CAPS also demonstrates the complementary information value of different patterns for inferring community processes and captures the complexity of community assembly. It provides a general tool for studying the processes structuring communities and can be applied to address a range of questions in community and metacommunity ecology. © 2015 The Author(s).

Beyond the continuum: a multi-dimensional phase space for neutral–niche community assembly

PubMed Central

Latombe, Guillaume; McGeoch, Melodie A.

2015-01-01

Neutral and niche processes are generally considered to interact in natural communities along a continuum, exhibiting community patterns bounded by pure neutral and pure niche processes. The continuum concept uses niche separation, an attribute of the community, to test the hypothesis that communities are bounded by pure niche or pure neutral conditions. It does not accommodate interactions via feedback between processes and the environment. By contrast, we introduce the Community Assembly Phase Space (CAPS), a multi-dimensional space that uses community processes (such as dispersal and niche selection) to define the limiting neutral and niche conditions and to test the continuum hypothesis. We compare the outputs of modelled communities in a heterogeneous landscape, assembled by pure neutral, pure niche and composite processes. Differences in patterns under different combinations of processes in CAPS reveal hidden complexity in neutral–niche community dynamics. The neutral–niche continuum only holds for strong dispersal limitation and niche separation. For weaker dispersal limitation and niche separation, neutral and niche processes amplify each other via feedback with the environment. This generates patterns that lie well beyond those predicted by a continuum. Inferences drawn from patterns about community assembly processes can therefore be misguided when based on the continuum perspective. CAPS also demonstrates the complementary information value of different patterns for inferring community processes and captures the complexity of community assembly. It provides a general tool for studying the processes structuring communities and can be applied to address a range of questions in community and metacommunity ecology. PMID:26702047

Improving Care for Depression & Suicide Risk in Adolescents: Innovative Strategies for Bringing Treatments to Community Settings

PubMed Central

Asarnow, Joan Rosenbaum; Miranda, Jeanne

2015-01-01

This article reviews the literature on interventions and services for depression and suicide prevention among adolescents, with the goals of placing this science within the context of current changing health care environments and highlighting innovative models for improving health and mental health. We examine the: challenges and opportunities offered by new initiatives and legislation designed to transform the U.S. health and mental healthcare systems; summarize knowledge regarding the treatment of depression and suicidality/self-harm in adolescents; and describe innovative models for partnering with health systems and communities. This review demonstrates that treatment models and service delivery strategies are currently available for increasing evidence-based care, particularly for depression, and concludes with recommendations for future research and quality improvement initiatives aimed at inspiring additional efforts to put science to work, bridge science and community practice, and develop strategies for partnering with communities to improve care, mental health, and well-being among adolescents. PMID:24437432

Reality of using a model from local governments' perspective-How science community can help?

NASA Astrophysics Data System (ADS)

Mirzazad, S.

2016-12-01

Local governments across the US use historic data to approve capital improvement projects and update comprehensive/zoning plans. Due to the effects of climate change, historic data sets are no longer suitable, which requires communities to use climate models to project the future. However, the use of climate models also presents challenges for local governments such as: Variations between models: Because model-development methodologies vary, different climate models provide different end results. A local governments' decision concerning which climate model to use is tricky because the model drives policy direction and infrastructure investments that can be both expensive and controversial. Communicating the gaps of a model: There are always uncertainties associated with modeling. These gaps may range from the scale of a model to the type of data used in modeling. Effectively communicating this to a community is crucial to gain political support. Managing politics associated with using a model: In many cases, models project changes to the built environment that will detrimentally affect private property owners. This can result in strong push back from the community and could threaten the local tax base. Scientists have important roles; from development to delivery of models to assisting local governments navigate through these challenges. Bringing in entities with experience of working with local governments can contribute to a successful outcome. In this proposed session, ICLEI-Local Governments for Sustainability will use the USGS CoSMoS as a case study for lessons learned in establishing a framework for effective collaboration between local governments and the science community.

Social and Physical Environments and Disparities in Risk for Cardiovascular Disease: The Healthy Environments Partnership Conceptual Model

PubMed Central

Schulz, Amy J.; Kannan, Srimathi; Dvonch, J. Timothy; Israel, Barbara A.; Allen, Alex; James, Sherman A.; House, James S.; Lepkowski, James

2005-01-01

The Healthy Environments Partnership (HEP) is a community-based participatory research effort investigating variations in cardiovascular disease risk, and the contributions of social and physical environments to those variations, among non-Hispanic black, non-Hispanic white, and Hispanic residents in three areas of Detroit, Michigan. Initiated in October 2000 as a part of the National Institute of Environmental Health Sciences’ Health Disparities Initiative, HEP is affiliated with the Detroit Community–Academic Urban Research Center. The study is guided by a conceptual model that considers race-based residential segregation and associated concentrations of poverty and wealth to be fundamental factors influencing multiple, more proximate predictors of cardiovascular risk. Within this model, physical and social environments are identified as intermediate factors that mediate relationships between fundamental factors and more proximate factors such as physical activity and dietary practices that ultimately influence anthropomorphic and physiologic indicators of cardiovascular risk. The study design and data collection methods were jointly developed and implemented by a research team based in community-based organizations, health service organizations, and academic institutions. These efforts include collecting and analyzing airborne particulate matter over a 3-year period; census and administrative data; neighborhood observation checklist data to assess aspects of the physical and social environment; household survey data including information on perceived stressors, access to social support, and health-related behaviors; and anthropometric, biomarker, and self-report data as indicators of cardiovascular health. Through these collaborative efforts, HEP seeks to contribute to an understanding of factors that contribute to racial and socioeconomic health inequities, and develop a foundation for efforts to eliminate these disparities in Detroit. PMID:16330371

Assessing participation in community-based physical activity programs in Brazil.

PubMed

Reis, Rodrigo S; Yan, Yan; Parra, Diana C; Brownson, Ross C

2014-01-01

This study aimed to develop and validate a risk prediction model to examine the characteristics that are associated with participation in community-based physical activity programs in Brazil. We used pooled data from three surveys conducted from 2007 to 2009 in state capitals of Brazil with 6166 adults. A risk prediction model was built considering program participation as an outcome. The predictive accuracy of the model was quantified through discrimination (C statistic) and calibration (Brier score) properties. Bootstrapping methods were used to validate the predictive accuracy of the final model. The final model showed sex (women: odds ratio [OR] = 3.18, 95% confidence interval [CI] = 2.14-4.71), having less than high school degree (OR = 1.71, 95% CI = 1.16-2.53), reporting a good health (OR = 1.58, 95% CI = 1.02-2.24) or very good/excellent health (OR = 1.62, 95% CI = 1.05-2.51), having any comorbidity (OR = 1.74, 95% CI = 1.26-2.39), and perceiving the environment as safe to walk at night (OR = 1.59, 95% CI = 1.18-2.15) as predictors of participation in physical activity programs. Accuracy indices were adequate (C index = 0.778, Brier score = 0.031) and similar to those obtained from bootstrapping (C index = 0.792, Brier score = 0.030). Sociodemographic and health characteristics as well as perceptions of the environment are strong predictors of participation in community-based programs in selected cities of Brazil.

Factors influencing quality of life of obese students in Hangzhou, China.

PubMed

Chen, Ying-Ping; Wang, Hong-Mei; Edwards, Todd C; Wang, Ting; Jiang, Xiao-Ying; Lv, Yi-Ran; Patrick, Donald L

2015-01-01

To evaluate the quality of life (QOL) of overweight and obese middle or high school students and identify relevant factors influencing their QOL scores. 716 students were recruited from 6 middle or high schools in Hangzhou, China. The Chinese version of the Youth Quality of Life Instrument-Weight Module (YQOL-W) was self administered. The YQOL-W scores were compared among different BMI groups, gender, educational status, annual household income, parental education and recruitment community using t test or one-way analysis of variance. The independent association of these variables with QOL among overweight and obese students was examined using multivariable linear regression modeling. Overweight and obese students reported lower total scores, self, social and environment scores than their normal weight peers (all P<0.001). The QOL of overweight and obese middle and high school students was associated with BMI value, gender, educational status, parental education, and recruitment community. Girls had lower total scores, self, social and environment domain scores than boys (all P<0.001); high school students had lower total and three domain scores than middle school students (all P<0.05). Students whose fathers had higher education reported higher total scores, self and social scores than students with less educated fathers (all P<0.05). Students whose mothers had higher education reported higher environment scores than students with less educated mothers (P = 0.01). Students from migrant communities reported significantly lower total scores, self and social scores than those from rural communities (all P<0.05), but comparable scores with those from urban communities (P>0.05). Students from migrant communities reported comparable environment scores with those from rural and urban communities (P>0.05). Overweight and obesity have negative effects on students' quality of life. Therefore weight specific QOL could be included in weight reduction interventions as a relevant outcome.

Estimating the effect of the reorganization of interactions on the adaptability of species to changing environments.

PubMed

Cenci, Simone; Montero-Castaño, Ana; Saavedra, Serguei

2018-01-21

A major challenge in community ecology is to understand how species respond to environmental changes. Previous studies have shown that the reorganization of interactions among co-occurring species can modulate their chances to adapt to novel environmental conditions. Moreover, empirical evidence has shown that these ecological dynamics typically facilitate the persistence of groups of species rather than entire communities. However, so far, we have no systematic methodology to identify those groups of species with the highest or lowest chances to adapt to new environments through a reorganization of their interactions. Yet, this could prove extremely valuable for developing new conservation strategies. Here, we introduce a theoretical framework to estimate the effect of the reorganization of interactions on the adaptability of a group of species, within a community, to novel environmental conditions. We introduce the concept of the adaptation space of a group of species based on a feasibility analysis of a population dynamics model. We define the adaptation space of a group as the set of environmental conditions that can be made compatible with its persistence thorough the reorganization of interactions among species within the group. The larger the adaptation space of a group, the larger its likelihood to adapt to a novel environment. We show that the interactions in the community outside a group can act as structural constraints and be used to quantitatively compare the size of the adaptation space among different groups of species within a community. To test our theoretical framework, we perform a data analysis on several pairs of natural and artificially perturbed ecological communities. Overall, we find that the groups of species present in both control and perturbed communities are among the ones with the largest adaptation space. We believe that the results derived from our framework point out towards new directions to understand and estimate the adaptability of species to changing environments. Copyright © 2017 Elsevier Ltd. All rights reserved.

The Work of Recovery on Two Assertive Community Treatment Teams

PubMed Central

Salyers, Michelle P.; Stull, Laura G.; Rollins, Angela L.; Hopper, Kim

2011-01-01

The compatibility of recovery work with the Assertive Community Treatment (ACT) model has been debated; and little is known about how to best measure the work of recovery. Two ACT teams with high and low recovery orientation were identified by expert consensus and compared on a number of dimensions. Using an interpretive, qualitative approach to analyze interview and observation data, teams differed in the extent to which the environment, team structure, staff attitudes, and processes of working with consumers supported principles of recovery orientation. We present a model of recovery work and discuss implications for research and practice. PMID:20839045

EPA'S WATERSHED MANAGEMENT AND MODELING RESEARCH PROGRAM

EPA Science Inventory

Watershed management presumes that community groups can best solve many water quality and ecosystem problems at the watershed level rather than at the individual site, receiving waterbody, or discharger level. After assessing and ranking watershed problems, and setting environ...

How community environment shapes physical activity: perceptions revealed through the PhotoVoice method.

PubMed

Belon, Ana Paula; Nieuwendyk, Laura M; Vallianatos, Helen; Nykiforuk, Candace I J

2014-09-01

A growing body of evidence shows that community environment plays an important role in individuals' physical activity engagement. However, while attributes of the physical environment are widely investigated, sociocultural, political, and economic aspects of the environment are often neglected. This article helps to fill these knowledge gaps by providing a more comprehensive understanding of multiple dimensions of the community environment relative to physical activity. The purpose of this study was to qualitatively explore how people's experiences and perceptions of their community environments affect their abilities to engage in physical activity. A PhotoVoice method was used to identify barriers to and opportunities for physical activity among residents in four communities in the province of Alberta, Canada, in 2009. After taking pictures, the thirty-five participants shared their perceptions of those opportunities and barriers in their community environments during individual interviews. Using the Analysis Grid for Environments Linked to Obesity (ANGELO) framework, themes emerging from these photo-elicited interviews were organized in four environment types: physical, sociocultural, economic, and political. The data show that themes linked to the physical (56.6%) and sociocultural (31.4%) environments were discussed more frequently than the themes of the economic (5.9%) and political (6.1%) environments. Participants identified nuanced barriers and opportunities for physical activity, which are illustrated by their quotes and photographs. The findings suggest that a myriad of factors from physical, sociocultural, economic, and political environments influence people's abilities to be physically active in their communities. Therefore, adoption of a broad, ecological perspective is needed to address the barriers and build upon the opportunities described by participants to make communities more healthy and active. Copyright © 2014 Elsevier Ltd. All rights reserved.

Systematic review of the physical home environment and the relationship to psychological well-being among community-dwelling older adults.

PubMed

Trecartin, Shannon M; Cummings, Sherry M

2018-07-01

Older adults with functional impairments are at risk of being excluded from participation in day-to-day life. This exclusion can have detrimental effects on psychological well-being. The physical home environment is a potential force for both enhancing and limiting participation for this population. This systematic review of literature examined relationships between the physical home environment, functional impairment, and psychological well-being among older adults who live in community settings. The Ecological Model of Aging served as the guiding framework for this review. Results suggest that knowledge of the relationships between these constructs is still in the early stages. While associational relationships are established, the nature of these relationships is clouded by the inconsistency of measurement across studies, as well as design challenges. Objective and subjective features of the physical home environment are linked to psychological well-being throughout the literature. A growing body of evidence demonstrates that personal competence serves as a moderator of those relationships.

A longitudinal social network analysis of the editorial boards of medical informatics and bioinformatics journals.

PubMed

Malin, Bradley; Carley, Kathleen

2007-01-01

The goal of this research is to learn how the editorial staffs of bioinformatics and medical informatics journals provide support for cross-community exposure. Models such as co-citation and co-author analysis measure the relationships between researchers; but they do not capture how environments that support knowledge transfer across communities are organized. In this paper, we propose a social network analysis model to study how editorial boards integrate researchers from disparate communities. We evaluate our model by building relational networks based on the editorial boards of approximately 40 journals that serve as research outlets in medical informatics and bioinformatics. We track the evolution of editorial relationships through a longitudinal investigation over the years 2000 through 2005. Our findings suggest that there are research journals that support the collocation of editorial board members from the bioinformatics and medical informatics communities. Network centrality metrics indicate that editorial board members are located in the intersection of the communities and that the number of individuals in the intersection is growing with time. Social network analysis methods provide insight into the relationships between the medical informatics and bioinformatics communities. The number of editorial board members facilitating the publication intersection of the communities has grown, but the intersection remains dependent on a small group of individuals and fragile.

Evaluating pesticide effects on freshwater invertebrate communities in alpine environment: a model ecosystem experiment.

PubMed

Ippolito, A; Carolli, M; Varolo, E; Villa, S; Vighi, M

2012-10-01

Pesticide loads in streams are potentially one of the most relevant stressors for macroinvertebrate communities. Nevertheless, real effects provoked at the community level are still largely unknown. Model ecosystems are frequently used as tools for the risk assessment of pesticides, especially for their regulation, however, they can be also applied to site-specific risk assessment in order to gain better understanding of the responses of aquatic ecosystems to chemical stress. In the present work, an experimental system was composed of 5 artificial streams that reproduced a mountain lotic environment under controlled conditions. This study was aimed to better understand, whether (and how) the biological community was influenced by pesticides pulse exposures. 5 mixture load events were simulated over the productive season (March-July 2010): biological community was regularly sampled and nominal concentrations of water were tested. The results were interpreted comparing the output of different metrics and statistical methodologies. The sensitivity of different metrics was analyzed considering single exposure events (maximum Toxic Units) as well as overall temporal trends. Results showed how some common taxonomic metrics (e.g. taxa richness, Shannon's index, total abundance of organisms, and the Extended Biotic Index) were not suitable to identify the effects of pesticides at community level. On the contrary EPT%, SPEAR(pesticide) and the Principal Response Curve methodology proved to be sensitive to this kind of stress, providing comparable results. Temporal trends of these metrics proved to be related to the concentration of chemicals. Remarkably, the first Principal Response Curve illustrates the trend followed by the most vulnerable species, while the second is more related to the trend of opportunistic species. A high potential risk for the invertebrate community was highlighted by a statistically significant decline of 40 points (comparison with the control) in both SPEAR(pesticide) and EPT%.

Improving the Nutritional Resource Environment for Healthy Living Through Community-based Participatory Research

PubMed Central

Sloane, David C; Diamant, Allison L; Lewis, LaVonna B; Yancey, Antronette K; Flynn, Gwendolyn; Nascimento, Lori Miller; McCarthy, William J; Guinyard, Joyce Jones; Cousineau, Michael R

2003-01-01

OBJECTIVES To build health promotion capacity among community residents through a community-based participatory model, and to apply this model to study the nutritional environment of an urban area to better understand the role of such resources in residents' efforts to live a healthy life. DESIGN A multiphase collaborative study that inventoried selected markets in targeted areas of high African-American concentration in comparison with markets in a contrasting wealthier area with fewer African Americans. SETTING A community study set in the Los Angeles metropolitan area. PARTICIPANTS African-American community organizations and community residents in the target areas. INTERVENTIONS Two surveys of market inventories were conducted. The first was a single-sheet form profiling store conditions and the availability of a small selection of healthy foods. The second provided detailed information on whether the store offered fruit, vegetables, low-fat dairy products, dried goods and other items necessary for residents to consume a nutritious diet. RESULTS The targeted areas were significantly less likely to have important items for living a healthier life. The variety and quality of fresh fruit and vegetable produce was significantly lower in the target areas. Such products as 1% milk, skim milk, low-fat and nonfat cheese, soy milk, tofu, whole grain pasta and breads, and low-fat meat and poultry items were sig-nificantly less available. CONCLUSIONS Healthy food products were significantly less available in the target areas. The authors conclude from these results that the health disparities experienced by African-American communities have origins that extend beyond the health delivery system and individual behaviors inasmuch as adherence to the healthy lifestyle associated with low chronic disease risk is more difficult in resource-poor neighborhoods than in resource-rich ones. PMID:12848840

The Impact of the Physical Environment on the Social Integration of Individuals with Disabilities in Community

ERIC Educational Resources Information Center

Christensen, Keith M.

2010-01-01

Social integration in community is especially important for individuals with disabilities well-being. Although individuals with disabilities reside within the community's physical environment, they are often marginalized in the social environment. This may be the result of individuals with disabilities residing in physical environments that…

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

NASA Technical Reports Server (NTRS)

Keller, Richard M.

1991-01-01

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

A synthetic ecology perspective: How well does behavior of model organisms in the laboratory predict microbial activities in natural habitats?

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

Yu, Zheng; Krause, Sascha M. B.; Beck, David A. C.

In this perspective article, we question how well model organisms, the ones that are easy to cultivate in the laboratory and that show robust growth and biomass accumulation, reflect the dynamics and interactions of microbial communities observed in nature. Today's -omics toolbox allows assessing the genomic potential of microbes in natural environments in a high-throughput fashion and at a strain-level resolution. However, understanding of the details of microbial activities and of the mechanistic bases of community function still requires experimental validation in simplified and fully controlled systems such as synthetic communities. We have studied methane utilization in Lake Washington sedimentmore » for a few decades and have identified a number of species genetically equipped for this activity. We have also identified cooccurring satellite species that appear to form functional communities together with the methanotrophs. Here, we compare experimental findings from manipulation of natural communities involved in metabolism of methane in this niche with findings from manipulation of synthetic communities assembled in the laboratory of species originating from the same study site, from very simple (two-species) to rather complex (50-species) synthetic communities. We observe some common trends in community dynamics between the two types of communities, toward representation of specific functional guilds. However, we also identify strong discrepancies between the dominant methane oxidizers in synthetic communities compared to natural communities, under similar incubation conditions. Furthermore, these findings highlight the challenges that exist in using the synthetic community approach to modeling dynamics and species interactions in natural communities.« less

A Synthetic Ecology Perspective: How Well Does Behavior of Model Organisms in the Laboratory Predict Microbial Activities in Natural Habitats?

PubMed

Yu, Zheng; Krause, Sascha M B; Beck, David A C; Chistoserdova, Ludmila

2016-01-01

In this perspective article, we question how well model organisms, the ones that are easy to cultivate in the laboratory and that show robust growth and biomass accumulation, reflect the dynamics and interactions of microbial communities observed in nature. Today's -omics toolbox allows assessing the genomic potential of microbes in natural environments in a high-throughput fashion and at a strain-level resolution. However, understanding of the details of microbial activities and of the mechanistic bases of community function still requires experimental validation in simplified and fully controlled systems such as synthetic communities. We have studied methane utilization in Lake Washington sediment for a few decades and have identified a number of species genetically equipped for this activity. We have also identified co-occurring satellite species that appear to form functional communities together with the methanotrophs. Here, we compare experimental findings from manipulation of natural communities involved in metabolism of methane in this niche with findings from manipulation of synthetic communities assembled in the laboratory of species originating from the same study site, from very simple (two-species) to rather complex (50-species) synthetic communities. We observe some common trends in community dynamics between the two types of communities, toward representation of specific functional guilds. However, we also identify strong discrepancies between the dominant methane oxidizers in synthetic communities compared to natural communities, under similar incubation conditions. These findings highlight the challenges that exist in using the synthetic community approach to modeling dynamics and species interactions in natural communities.

Microbial diversity and interactions in subgingival biofilm communities.

PubMed

Diaz, Patricia I

2012-01-01

The human subgingival environment is a complex environmental niche where microorganisms from the three domains of life meet to form diverse biofilm communities that exist in close proximity to the host. Bacteria constitute the most abundant, diverse and ultimately well-studied component of these communities with about 500 bacterial taxa reported to occur in this niche. Cultivation and molecular approaches are revealing the breadth and depth of subgingival biofilm diversity as part of an effort to understand the subgingival microbiome, the collection of microorganisms that inhabit the gingival crevices. Although these investigations are constructing a pretty detailed taxonomical census of subgingival microbial communities, including inter-subject and temporal variability in community structure, as well as differences according to periodontal health status, we are still at the front steps in terms of understanding community function. Clinical studies that evaluate community structure need to be coupled with biologically relevant models that allow evaluation of the ecological determinants of subgingival biofilm maturation. Functional characteristics of subgingival biofilm communities that still need to be clarified include main metabolic processes that support microbial communities, identification of keystone species, microbial interactions and signaling events that lead to community maturation and the relationship of different communities with the host. This manuscript presents a summary of our current understanding of subgingival microbial diversity and an overview of experimental models used to dissect the functional characteristics of subgingival communities. Future coupling of 'omics'-based approaches with such models will facilitate a better understanding of subgingival ecology opening opportunities for community manipulation. Copyright © 2012 S. Karger AG, Basel.

A synthetic ecology perspective: How well does behavior of model organisms in the laboratory predict microbial activities in natural habitats?

DOE PAGES

Yu, Zheng; Krause, Sascha M. B.; Beck, David A. C.; ...

2016-06-15

In this perspective article, we question how well model organisms, the ones that are easy to cultivate in the laboratory and that show robust growth and biomass accumulation, reflect the dynamics and interactions of microbial communities observed in nature. Today's -omics toolbox allows assessing the genomic potential of microbes in natural environments in a high-throughput fashion and at a strain-level resolution. However, understanding of the details of microbial activities and of the mechanistic bases of community function still requires experimental validation in simplified and fully controlled systems such as synthetic communities. We have studied methane utilization in Lake Washington sedimentmore » for a few decades and have identified a number of species genetically equipped for this activity. We have also identified cooccurring satellite species that appear to form functional communities together with the methanotrophs. Here, we compare experimental findings from manipulation of natural communities involved in metabolism of methane in this niche with findings from manipulation of synthetic communities assembled in the laboratory of species originating from the same study site, from very simple (two-species) to rather complex (50-species) synthetic communities. We observe some common trends in community dynamics between the two types of communities, toward representation of specific functional guilds. However, we also identify strong discrepancies between the dominant methane oxidizers in synthetic communities compared to natural communities, under similar incubation conditions. Furthermore, these findings highlight the challenges that exist in using the synthetic community approach to modeling dynamics and species interactions in natural communities.« less

Learning in 3-D Multiuser Virtual Environments: Exploring the Use of Unique 3-D Attributes for Online Problem-Based Learning

ERIC Educational Resources Information Center

Omale, Nicholas; Hung, Wei-Chen; Luetkehans, Lara; Cooke-Plagwitz, Jessamine

2009-01-01

The purpose of this article is to present the results of a study conducted to investigate how the attributes of 3-D technology such as avatars, 3-D space, and comic style bubble dialogue boxes affect participants' social, cognitive, and teaching presences in a blended problem-based learning environment. The community of inquiry model was adopted…

Factors Affecting Adoption of Facebook: An Exploratory Study of the LIS Community Perspective

ERIC Educational Resources Information Center

Aharony, Noa

2014-01-01

This study seeks to investigate whether information professionals, as well as LIS students, are ready to assimilate Facebook in their work and educational environments. The study uses the Technology Acceptance Model (TAM) as well as some characteristics of the "Big Five" model of personality as a theoretical base from which to predict…

A national program for injury prevention in children and adolescents: the injury free coalition for kids.

PubMed

Pressley, Joyce C; Barlow, Barbara; Durkin, Maureen; Jacko, Sally A; Dominguez, DiLenny Roca; Johnson, Lenita

2005-09-01

Injury is the leading cause of death and a major source of preventable disability in children. Mechanisms of injury are rooted in a complex web of social, economic, environmental, criminal, and behavioral factors that necessitate a multifaceted, systematic injury prevention approach. This article describes the injury burden and the way physicians, community coalitions, and a private foundation teamed to impact the problem first in an urban minority community and then through a national program. Through our injury prevention work in a resource-limited neighborhood, a national model evolved that provides a systematic framework through which education and other interventions are implemented. Interventions are aimed at changing the community and home environments physically (safe play areas and elimination of community and home hazards) and socially (education and supervised extracurricular activities with mentors). This program, based on physician-community partnerships and private foundation financial support, expanded to 40 sites in 37 cities, representing all 10 US trauma regions. Each site is a local adaptation of the Injury Free Coalition model also referred to as the ABC's of injury prevention: A, "analyze injury data through local injury surveillance"; B, "build a local coalition"; C, "communicate the problem and raise awareness that injuries are a preventable public health problem"; D, "develop interventions and injury prevention activities to create safer environments and activities for children"; and E, "evaluate the interventions with ongoing surveillance." It is feasible to develop a comprehensive injury prevention program of national scope using a voluntary coalition of trauma centers, private foundation financial and technical support, and a local injury prevention model with a well-established record of reducing and sustaining lower injury rates for inner-city children and adolescents.

Prokaryotic communities differ along a geothermal soil photic gradient.

PubMed

Meadow, James F; Zabinski, Catherine A

2013-01-01

Geothermal influenced soils exert unique physical and chemical limitations on resident microbial communities but have received little attention in microbial ecology research. These environments offer a model system in which to investigate microbial community heterogeneity and a range of soil ecological concepts. We conducted a 16S bar-coded pyrosequencing survey of the prokaryotic communities in a diatomaceous geothermal soil system and compared communities across soil types and along a conspicuous photic depth gradient. We found significant differences between the communities of the two different soils and also predictable differences between samples taken at different depths. Additionally, we targeted three ecologically relevant bacterial phyla, Cyanobacteria, Planctomycetes, and Verrucomicrobia, for clade-wise comparisons with these variables and found strong differences in their abundances, consistent with the autecology of these groups.

Predictors of Arbuscular Mycorrhizal Fungal Communities in the Brazilian Tropical Dry Forest.

PubMed

Sousa, Natália M F; Veresoglou, Stavros D; Oehl, Fritz; Rillig, Matthias C; Maia, Leonor C

2018-02-01

Arbuscular mycorrhizal fungi (AMF) are symbiotic fungi with a broad distribution, and many taxa have physiological and ecological adaptations to specific environments, including semiarid ecosystems. Our aim was to address regional distribution patterns of AMF communities in such semiarid environments based on spore morphological techniques. We assessed AMF spores at the bottom and top of inselbergs distributed throughout the tropical dry forest in the Northeast region of Brazil. Across 10 replicate inselbergs and the surrounding area, spanning a range of altitude between 140 and 2000 m, we scored the AMF soil diversity and properties in 52 plots. We fitted parsimonious ordination analyses and variance partitioning models to determine the environmental factors which explained the variation in AMF community, based on morphological spore analysis. The diversity of AMF was similar at the bottom and top of inselbergs; however, we detected high variation in abundance and richness across sites. We formulated a parsimonious richness model that used physical soil factors as predictors. The AMF community structure could be best explained through the variables coarse and total sand, iron, organic matter, potassium, silt, and sodium which together accounted for 17.8% of total variance. Several AMF species were indicators of either deficiency or high values of specific soil properties. We demonstrated that habitat isolation of the inselbergs compared with surrounding areas did not trigger differences in AMF communities in semiarid regions of Brazil. At the regional scale, soil predictors across sites drove the distribution of symbiotic mycorrhizal fungi.

New solar irradiances for use in space research

NASA Astrophysics Data System (ADS)

Tobiska, W.; Bouwer, D.; Jones, A.

Space environment research applications require solar irradiances in a variety of time scales and spectral formats We describe the development of research grade modeled solar irradiances using four models and systems that are also used for space weather operations The four models systems include SOLAR2000 S2K SOLARFLARE SFLR APEX and IDAR which are used by Space Environment Technologies SET to provide solar irradiances from the soft X-rays through the visible spectrum SFLR uses the GOES 0 1--0 8 nm X-rays in combination with a Mewe model subroutine to provide 0 1--30 0 nm irradiances at 0 1 nm spectral resolution at 1 minute time resolution and in a 6-hour XUV--EUV spectral solar flare evolution forecast with a 7 minute latency and a 2 minute cadence These irradiances have been calibrated with the SORCE XPS observations and we report on the inclusion of these irradiances in the S2K model There are additional developments with S2K that we discuss particularly the method by which S2K is emerging as a hybrid model empirical plus physics-based and real-time data integration platform Numerous new solar indices have been recently developed for the operations community and we describe their inclusion in S2K The APEX system is a real-time data retrieval system developed under contract to the University of Southern California Space Sciences Center SSC to provide SOHO SEM data processing and distribution SSC provides the updated SEM data to the research community and SET provides the operational data to the space operations community We

Influence of Solar and Thermal Radiation on Future Heat Stress Using CMIP5 Archive Driving the Community Land Model Version 4.5

NASA Astrophysics Data System (ADS)

Buzan, J. R.; Huber, M.

2015-12-01

The summer of 2015 has experienced major heat waves on 4 continents, and heat stress left ~4000 people dead in India and Pakistan. Heat stress is caused by a combination of meteorological factors: temperature, humidity, and radiation. The International Organization for Standardization (ISO) uses Wet Bulb Globe Temperature (WBGT)—an empirical metric this is calibrated with temperature, humidity, and radiation—for determining labor capacity during heat stress. Unfortunately, most literature studying global heat stress focuses on extreme temperature events, and a limited number of studies use the combination of temperature and humidity. Recent global assessments use WBGT, yet omit the radiation component without recalibrating the metric.Here we explicitly calculate future WBGT within a land surface model, including radiative fluxes as produced by a modeled globe thermometer. We use the Community Land Model version 4.5 (CLM4.5), which is a component model of the Community Earth System Model (CESM), and is maintained by the National Center for Atmospheric Research (NCAR). To drive our CLM4.5 simulations, we use greenhouse gasses Representative Concentration Pathway 8.5 (business as usual), and atmospheric output from the CMIP5 Archive. Humans work in a variety of environments, and we place the modeled globe thermometer in a variety of environments. We modify CLM4.5 code to calculate solar and thermal radiation fluxes below and above canopy vegetation, and in bare ground. To calculate wet bulb temperature, we implemented the HumanIndexMod into CLM4.5. The temperature, wet bulb temperature, and radiation fields are calculated at every model time step and are outputted 4x Daily. We use these fields to calculate WBGT and labor capacity for two time slices: 2026-2045 and 2081-2100.

Designing Collaborative Developmental Standards by Refactoring of the Earth Science Models, Libraries, Workflows and Frameworks.

NASA Astrophysics Data System (ADS)

Mirvis, E.; Iredell, M.

2015-12-01

The operational (OPS) NOAA National Centers for Environmental Prediction (NCEP) suite, traditionally, consist of a large set of multi- scale HPC models, workflows, scripts, tools and utilities, which are very much depending on the variety of the additional components. Namely, this suite utilizes a unique collection of the in-house developed 20+ shared libraries (NCEPLIBS), certain versions of the 3-rd party libraries (like netcdf, HDF, ESMF, jasper, xml etc.), HPC workflow tool within dedicated (sometimes even vendors' customized) HPC system homogeneous environment. This domain and site specific, accompanied with NCEP's product- driven large scale real-time data operations complicates NCEP collaborative development tremendously by reducing chances to replicate this OPS environment anywhere else. The NOAA/NCEP's Environmental Modeling Center (EMC) missions to develop and improve numerical weather, climate, hydrological and ocean prediction through the partnership with the research community. Realizing said difficulties, lately, EMC has been taken an innovative approach to improve flexibility of the HPC environment by building the elements and a foundation for NCEP OPS functionally equivalent environment (FEE), which can be used to ease the external interface constructs as well. Aiming to reduce turnaround time of the community code enhancements via Research-to-Operations (R2O) cycle, EMC developed and deployed several project sub-set standards that already paved the road to NCEP OPS implementation standards. In this topic we will discuss the EMC FEE for O2R requirements and approaches in collaborative standardization, including NCEPLIBS FEE and models code version control paired with the models' derived customized HPC modules and FEE footprints. We will share NCEP/EMC experience and potential in the refactoring of EMC development processes, legacy codes and in securing model source code quality standards by using combination of the Eclipse IDE, integrated with the reverse engineering tools/APIs. We will also inform on collaborative efforts in the restructuring of the NOAA Environmental Modeling System (NEMS) - the multi- model and coupling framework, and transitioning FEE verification methodology.

Increasing Community Access to Fresh Fruits and Vegetables: A Case Study of the Farm Fresh Market Pilot Program in Cobb County, Georgia, 2014

PubMed Central

Coleman, Anne-Marie; Hermstad, April K.; Honeycutt, Sally; Munoz, Jennifer; Loh, Lorna; Brown, Agnes F.; Shipley, Rebecca; Kegler, Michelle C.

2016-01-01

Background Ecological models of health suggest that to effectively prevent chronic disease, community food environments must support healthy eating behaviors. However, disparities in access to healthy foods persist in the United States. Community Context The Farm Fresh Market (FFM) was a fruit and vegetable market that sold low-cost fresh produce in Cobb County, Georgia in 2014. Methods This case study describes the development of the FFM through a community engagement process and presents evaluation results from the project’s pilot implementation. Community engagement strategies included forming a community advisory board, conducting a needs assessment, and contracting with a community-based organization to implement the FFM. Outcome In the pilot year, the FFM served an average of 28.7 customers and generated an average of $140.20 in produce sales per market day. Most returning customers lived in the local community and reported a range of socioeconomic backgrounds. Most returning customers strongly agreed that the FFM made it easier (69.0%) and less expensive (79.0%) for them to buy fresh fruits and vegetables, reported that they ate more vegetables (65.0%) and fruit (55.0%) as a result of the FFM, and reported that they were very satisfied with the FFM overall (92.0%). Interpretation Results from this community case study underscore the importance of engaging communities in the development of community food environment interventions. Results also suggest that the FFM initiative was a feasible and acceptable way to respond to the community-identified public health priority of increasing access to healthy foods. PMID:26963860

Small-grants programs: lessons from community-based approaches to changing nutrition environments.

PubMed

Johnson, Donna B; Smith, Lynne T; Bruemmer, Barbara

2007-02-01

Providing small grants to community organizations can be an effective way to encourage changes in the environment that support better nutrition. This is effective because these organizations can provide insights into their communities, ready-made relationships with community members, and the trust of the community. Small-grants programs are more likely to be successful when they are tailored to the needs of individual communities, led by organizations that have established reputations with the community, fully supported by the lead community organization, and engage local partners that complement the skills and resources of the lead organization. An evaluation of a small-grants program, Grants for Healthy Youth, found that grantees developed unique approaches to improving their community nutrition environments, gained experience and skills in program development, built partnerships, and received recognition for their project work. Grantees faced some common barriers, especially with program evaluation. Small-grants programs can be an effective way to improve community nutrition environments, but granting agencies need to provide effective technical assistance to communities throughout the process.

Functional Diversity of Microbial Communities in Sludge-Amended Soils

NASA Astrophysics Data System (ADS)

Sun, Y. H.; Yang, Z. H.; Zhao, J. J.; Li, Q.

The BIOLOG method was applied to exploration of functional diversity of soil microbial communities in sludge-amended soils sampled from the Yangtze River Delta. Results indicated that metabolic profile, functional diversity indexes and Kinetic parameters of the soil microbial communities changed following soil amendment with sewage sludge, suggesting that the changes occurred in population of the microbes capable of exploiting carbon substrates and in this capability as well. The kinetic study of the functional diversity revealed that the metabolic profile of the soil microbial communities exhibited non-linear correlation with the incubation time, showing a curse of sigmoid that fits the dynamic model of growth of the soil microbial communities. In all the treatments, except for treatments of coastal fluvo-aquic soil amended with fresh sludge and dried sludge from Hangzhou, kinetic parameters K and r of the functional diversity of the soil microbial communities decreased significantly and parameter S increased. Changes in characteristics of the functional diversity well reflected differences in C utilizing capacity and model of the soil microbial communities in the sludge-amended soils, and changes in functional diversity of the soil microbial communities in a particular eco-environment, like soil amended with sewage sludge.

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.

Examination of community and consumer nutrition, tobacco and physical activity environments at food and tobacco retail stores in three diverse North Carolina communities

PubMed Central

D'Angelo, Heather; Evenson, Kelly R.; Rose, Shyanika W.; Fleischhacker, Sheila; Myers, Allison E.; Ribisl, Kurt M.

2015-01-01

To advance our understanding of multiple health-related dimensions of the built environment, this study examined associations among nutrition, tobacco, and physical activity community and consumer environments. Community environment measures included supermarket access, tobacco outlet density, and physical activity resource density in store neighborhoods. Cross-sectional observations of the nutrition, tobacco and physical activity environments were conducted in 2011 at and around 303 food stores that sold tobacco products in three North Carolina counties. Pearson correlation coefficients and multiple linear regression were used to examine associations between community and consumer environments. Correlations between community nutrition, tobacco, and physical activity environments ranged from slight to fair (− 0.35 to 0.20) and from poor to fair (− 0.01 to − 0.38) between consumer environments. Significant relationships between consumer tobacco and nutrition environments were found after controlling for store and neighborhood characteristics. For example, stores with higher amounts of interior tobacco marketing had higher healthy food availability (p = 0.001), while stores with higher amounts of exterior tobacco marketing had lower healthy food availability (p = 0.02). Community and consumer environments for nutrition, tobacco, and physical activity were interrelated. Measures that assess single aspects of community or consumer environments could miss characteristics that may influence customer purchasing. Even chain supermarkets, typically regarded as healthful food sources compared to smaller food stores, may expose customers to tobacco marketing inside. Future research could explore combining efforts to reduce obesity and tobacco use by addressing tobacco marketing, healthy food availability and physical activity opportunities at retail food outlets. PMID:26516620

Belowground Controls on the Dynamics of Plant Communities

NASA Astrophysics Data System (ADS)

Sivandran, G.

2013-12-01

Arid regions are characterized by high variability in the arrival of rainfall, and species found in these areas have adapted mechanisms to ensure the capture of this scarce resource. In particular, the rooting strategies employed by vegetation can be critical to their survival. These rooting strategies also dictate the competitive outcomes within plant communities. A dynamic rooting scheme was incorporated into tRIBS+VEGGIE (a physically-based, distributed ecohydrologic model). The dynamic rooting scheme allows vegetation the freedom to alter its rooting profile in response to changes in rainfall and soil conditions, in a way that more closely mimics observed phenotypic plasticity. A simple competition-colonization model was combined with the new dynamic root scheme to explore the role of root adaptability in plant competition and landscape evolution in semi-arid environments. The influence of model representation of rooting strategy on the long term plant community composition

Healthful Eating and Physical Activity in the Home Environment: Results from Multi-Family Focus Groups

PubMed Central

Berge, Jerica M.; Arikian, Aimee; Doherty, William J.; Neumark-Sztainer, Dianne

2012-01-01

Objective To explore multiple family members’ perceptions of risk and protective factors for healthy eating and physical activity in the home. Design Ten multi-family focus groups were conducted with 26 families. Setting Community setting. Participants Primarily Black and White families. Family members (n = 103) were between the ages of 8–61 years. Analysis A grounded hermeneutic approach. Phenomenon of Interest Risk and protective factors for healthy eating and physical activity in the home environment. Results Ten major themes were identified by family members related to health behaviors in the home environment, including: (a) accessibility to healthy foods and activity, (b) time constraints, (c) stage of youth development, (d) individual investment in health behaviors, (e) family investment in health behaviors, (f) family meals and shared activities, (g) parent modeling, (h) making health behaviors fun, (i) making health behaviors part of the family lifestyle, and (j) community investment in family health behaviors. Conclusions and Implications This study identified the importance of the family system and the reciprocal influences within the home environment on health behaviors. In addition, individual and community-level suggestions were identified. Insights from the families provide leads for future research and ideas for the prevention of youth obesity. PMID:22192951

Models of Metabolic Community Structure in Martian Habitable Environments: Constraints from a Terrestrial Analog Acid-Sulfate Fumarole Environment, Cerro Negro Volcano, Nicaragua

NASA Astrophysics Data System (ADS)

Rogers, K. L.; McCollom, T. M.; Hynek, B. M.

2014-12-01

Microbial habitability in extreme environments on Earth is described by microscale geochemical conditions that constrain metabolic niches in concert with long-term habitat stability that is governed by dynamic geologic processes. Using terrestrial analogs to identify habitable martian environments requires correlating microscale geochemical constraints with reconstructions of past martian environments that are based on global-scale observations. While past martian environments can be characterized by primary parameters (e.g. pH, redox, mineralogy, thermal history), microbial habitability on Earth is a complex function of both primary and derived parameters (e.g. metabolic reaction energetics, chemical & thermal gradients, flow dynamics). In recent years we have been investigating acid-sulfate fumaroles at the Mars analog site, Cerro Negro Volcano, Nicaragua, where habitability is constrained by steep thermal gradients, spatially- and temporally-variable vent dynamics, and limited water and nutrient availability. The most common niche identified thus far is found in fumaroles that host mixed photosynthetic and chemosynthetic endolithic microbial communities. One such endolith is dominated by acidic red algae (Cyanidiales), aerobic bacterial heterotrophs (Ktedonobacteria), and archaeal thermoacidophiles (Hyperthermus, Caldisphaera, and Thermofilum). An analysis of the metabolic structure suggests that primary production by the red algae supports the growth of heterotrophic thermoacidophiles. Diversification among the chemoheterotrophs with respect to temperature and oxygen tolerance suggests community adaptation to environmental gradients or variable venting dynamics. Furthermore, individual cells within the endolith are silica-encrusted, providing the possibility for biosignature formation and preservation. Putative hydrothermal environments on early Mars with similar conditions could have supported endolithic communities with comparable metabolic strategies. Even on a generally cold and dry Mars, volcanic craters likely provided long-lived warm and wet conditions that could have supported diverse assemblages of thermoacidophilic organisms with various metabolic strategies adapted to environmental conditions of acid-sulfate fumaroles.

Context-dependent interactions and the regulation of species richness in freshwater fish.

PubMed

MacDougall, Andrew S; Harvey, Eric; McCune, Jenny L; Nilsson, Karin A; Bennett, Joseph; Firn, Jennifer; Bartley, Timothy; Grace, James B; Kelly, Jocelyn; Tunney, Tyler D; McMeans, Bailey; Matsuzaki, Shin-Ichiro S; Kadoya, Taku; Esch, Ellen; Cazelles, Kevin; Lester, Nigel; McCann, Kevin S

2018-03-06

Species richness is regulated by a complex network of scale-dependent processes. This complexity can obscure the influence of limiting species interactions, making it difficult to determine if abiotic or biotic drivers are more predominant regulators of richness. Using integrative modeling of freshwater fish richness from 721 lakes along an 11 o latitudinal gradient, we find negative interactions to be a relatively minor independent predictor of species richness in lakes despite the widespread presence of predators. Instead, interaction effects, when detectable among major functional groups and 231 species pairs, were strong, often positive, but contextually dependent on environment. These results are consistent with the idea that negative interactions internally structure lake communities but do not consistently 'scale-up' to regulate richness independently of the environment. The importance of environment for interaction outcomes and its role in the regulation of species richness highlights the potential sensitivity of fish communities to the environmental changes affecting lakes globally.

Context-dependent interactions and the regulation of species richness in freshwater fish

USGS Publications Warehouse

MacDougall, Andrew S.; Harvey, Eric; McCune, Jenny L.; Nilsson, Karin A.; Bennett, Joseph; Firn, Jennifer; Bartley, Timothy; Grace, James B.; Kelly, Jocelyn; Tunney, Tyler D.; McMeans, Bailey; Matsuzaki, Shin-Ichiro S.; Kadoya, Taku; Esch, Ellen; Cazelles, Kevin; Lester, Nigel; McCann, Kevin S.

2018-01-01

Species richness is regulated by a complex network of scale-dependent processes. This complexity can obscure the influence of limiting species interactions, making it difficult to determine if abiotic or biotic drivers are more predominant regulators of richness. Using integrative modeling of freshwater fish richness from 721 lakes along an 11olatitudinal gradient, we find negative interactions to be a relatively minor independent predictor of species richness in lakes despite the widespread presence of predators. Instead, interaction effects, when detectable among major functional groups and 231 species pairs, were strong, often positive, but contextually dependent on environment. These results are consistent with the idea that negative interactions internally structure lake communities but do not consistently ‘scale-up’ to regulate richness independently of the environment. The importance of environment for interaction outcomes and its role in the regulation of species richness highlights the potential sensitivity of fish communities to the environmental changes affecting lakes globally.

Population health improvement: a community health business model that engages partners in all sectors.

PubMed

Kindig, David A; Isham, George

2014-01-01

Because population health improvement requires action on multiple determinants--including medical care, health behaviors, and the social and physical environments--no single entity can be held accountable for achieving improved outcomes. Medical organizations, government, schools, businesses, and community organizations all need to make substantial changes in how they approach health and how they allocate resources. To this end, we suggest the development of multisectoral community health business partnership models. Such collaborative efforts are needed by sectors and actors not accustomed to working together. Healthcare executives can play important leadership roles in fostering or supporting such partnerships in local and national arenas where they have influence. In this article, we develop the following components of this argument: defining a community health business model; defining population health and the Triple Aim concept; reaching beyond core mission to help create the model; discussing the shift for care delivery beyond healthcare organizations to other community sectors; examining who should lead in developing the community business model; discussing where the resources for a community business model might come from; identifying that better evidence is needed to inform where to make cost-effective investments; and proposing some next steps. The approach we have outlined is a departure from much current policy and management practice. But new models are needed as a road map to drive action--not just thinking--to address the enormous challenge of improving population health. While we applaud continuing calls to improve health and reduce disparities, progress will require more robust incentives, strategies, and action than have been in practice to date. Our hope is that ideas presented here will help to catalyze a collective, multisectoral response to this critical social and economic challenge.

Incorporating spatial autocorrelation into species distribution models alters forecasts of climate-mediated range shifts.

PubMed

Crase, Beth; Liedloff, Adam; Vesk, Peter A; Fukuda, Yusuke; Wintle, Brendan A

2014-08-01

Species distribution models (SDMs) are widely used to forecast changes in the spatial distributions of species and communities in response to climate change. However, spatial autocorrelation (SA) is rarely accounted for in these models, despite its ubiquity in broad-scale ecological data. While spatial autocorrelation in model residuals is known to result in biased parameter estimates and the inflation of type I errors, the influence of unmodeled SA on species' range forecasts is poorly understood. Here we quantify how accounting for SA in SDMs influences the magnitude of range shift forecasts produced by SDMs for multiple climate change scenarios. SDMs were fitted to simulated data with a known autocorrelation structure, and to field observations of three mangrove communities from northern Australia displaying strong spatial autocorrelation. Three modeling approaches were implemented: environment-only models (most frequently applied in species' range forecasts), and two approaches that incorporate SA; autologistic models and residuals autocovariate (RAC) models. Differences in forecasts among modeling approaches and climate scenarios were quantified. While all model predictions at the current time closely matched that of the actual current distribution of the mangrove communities, under the climate change scenarios environment-only models forecast substantially greater range shifts than models incorporating SA. Furthermore, the magnitude of these differences intensified with increasing increments of climate change across the scenarios. When models do not account for SA, forecasts of species' range shifts indicate more extreme impacts of climate change, compared to models that explicitly account for SA. Therefore, where biological or population processes induce substantial autocorrelation in the distribution of organisms, and this is not modeled, model predictions will be inaccurate. These results have global importance for conservation efforts as inaccurate forecasts lead to ineffective prioritization of conservation activities and potentially to avoidable species extinctions. © 2014 John Wiley & Sons Ltd.

Adaptation of Aquatic Microbial Communities to Hg2+ Stress †

PubMed Central

Barkay, Tamar

1987-01-01

The mechanism of adaptation to Hg2+ in four aquatic habitats was studied by correlating microbially mediated Hg2+ volatilization with the adaptive state of the exposed communities. Community diversity, heterotrophic activity, and Hg2+ resistance measurements indicated that adaptation of all four communities was stimulated by preexposure to Hg2+. In saline water communities, adaptation was associated with rapid volatilization after an initial lag period. This mechanism, however, did not promote adaptation in a freshwater sample, in which Hg2+ was volatilized slowly, regardless of the resistance level of the microbial community. Distribution of the mer operon among representative colonies of the communities was not related to adaptation to Hg2+. Thus, although volatilization enabled some microbial communities to sustain their functions in Hg2+-stressed environments, it was not mediated by the genes that serve as a model system in molecular studies of bacterial resistance to mercurials. PMID:16347488

Canopy Flow Analysis Reveals the Advantage of Size in the Oldest Communities of Multicellular Eukaryotes

PubMed Central

Ghisalberti, Marco; Gold, David A.; Laflamme, Marc; Clapham, Matthew E.; Narbonne, Guy M.; Summons, Roger E.; Johnston, David T.; Jacobs, David K.

2015-01-01

Summary At Mistaken Point, Newfoundland, Canada, rangeomorph “fronds” dominate the earliest (579–565 million years ago) fossil communities of large (0.1 to 2 m height) multicellular benthic eukaryotes. They lived in low-flow environments, fueled by uptake [1–3] of dissolved reactants (osmotrophy). However, prokaryotes are effective osmotrophs, and the advantage of taller eukaryotic osmotrophs in this deepwater community context has not been addressed. We reconstructed flow-velocity profiles and vertical mixing using canopy flow models appropriate to the densities of the observed communities. Further modeling of processes at organismal surfaces documents increasing uptake with height in the community as a function of thinning of the diffusive boundary layer with increased velocity. The velocity profile, produced by canopy flow in the community, generates this advantage of upward growth. Alternative models of upward growth advantage based on redox/resource gradients fail, given the efficiency of vertical mixing. In benthic communities of osmotrophs of sufficient density, access to flow in low-flow settings provides an advantage to taller architecture, providing a selectional driver for communities of tall eukaryotes in contexts where phototropism cannot contribute to upward growth. These Ediacaran deep-sea fossils were preserved during the increasing oxygenation prior to the Cambrian radiation of animals and likely represent an important phase in the ecological and evolutionary transition to more complex eukaryotic forms. PMID:24462003

Updating Sea Spray Aerosol Emissions in the Community Multiscale Air Quality Model

NASA Astrophysics Data System (ADS)

Gantt, B.; Bash, J. O.; Kelly, J.

2014-12-01

Sea spray aerosols (SSA) impact the particle mass concentration and gas-particle partitioning in coastal environments, with implications for human and ecosystem health. In this study, the Community Multiscale Air Quality (CMAQ) model is updated to enhance fine mode SSA emissions, include sea surface temperature (SST) dependency, and revise surf zone emissions. Based on evaluation with several regional and national observational datasets in the continental U.S., the updated emissions generally improve surface concentrations predictions of primary aerosols composed of sea-salt and secondary aerosols affected by sea-salt chemistry in coastal and near-coastal sites. Specifically, the updated emissions lead to better predictions of the magnitude and coastal-to-inland gradient of sodium, chloride, and nitrate concentrations at Bay Regional Atmospheric Chemistry Experiment (BRACE) sites near Tampa, FL. Including SST-dependency to the SSA emission parameterization leads to increased sodium concentrations in the southeast U.S. and decreased concentrations along the Pacific coast and northeastern U.S., bringing predictions into closer agreement with observations at most Interagency Monitoring of Protected Visual Environments (IMPROVE) and Chemical Speciation Network (CSN) sites. Model comparison with California Research at the Nexus of Air Quality and Climate Change (CalNex) observations will also be discussed, with particular focus on the South Coast Air Basin where clean marine air mixes with anthropogenic pollution in a complex environment. These SSA emission updates enable more realistic simulation of chemical processes in coastal environments, both in clean marine air masses and mixtures of clean marine and polluted conditions.

Mammography facilities are accessible, so why is utilization so low?

PubMed

Mobley, Lee R; Kuo, Tzy-Mey May; Clayton, Laurel J; Evans, W Douglas

2009-08-01

This study examines new socio-ecological variables reflecting community context as predictors of mammography use. The conceptual model is a hybrid of traditional health-behavioral and socio-ecological constructs with an emphasis on spatial interaction among women and their environments, differentiating between several levels of influence for community context. Multilevel probability models of mammography use are estimated. The study sample includes 70,129 women with traditional Medicare fee-for-service coverage for inpatient and outpatient services, drawn from the SEER-Medicare linked data. The study population lives in heterogeneous California, where mammography facilities are dense but utilization rates are low. Several contextual effects have large significant impacts on the probability of mammography use. Women living in areas with higher proportions of elderly in poverty are 33% less likely to use mammography. However, dually eligible women living in these poor areas are 2% more likely to use mammography than those without extra assistance living in these areas. Living in areas with higher commuter intensity, higher violent crime rates, greater land use mix (urbanicity), or more segregated Hispanic communities exhibit -14%, -1%, -6%, and -3% (lower) probability of use, respectively. Women living in segregated American Indian communities or in communities where more elderly women live alone exhibit 16% and 12% (higher) probability of use, respectively. Minority women living in more segregated communities by their minority are more likely to use mammography, suggesting social support, but this is significant for Native Americans only. Women with disability as their original reason for entitlement are found 40% more likely to use mammography when they reside in communities with high commuter intensity, suggesting greater ease of transportation for them in these environments. Socio-ecological variables reflecting community context are important predictors of mammography use in insured elderly populations, often with larger magnitudes of effect than personal characteristics such as race or ethnicity (-3% to -7%), age (-2%), recent address change (-7%), disability (-5%) or dual eligibility status (-1%). Better understanding of community factors can enhance cancer control efforts.

Water matters: An assessment of opinion on water management and community engagement in the Republic of Ireland and the United Kingdom.

PubMed

Rolston, Alec; Jennings, Eleanor; Linnane, Suzanne

2017-01-01

Internationally, water management is moving from the traditional top-down approach to more integrated initiatives focussing on community-led action. With inadequacies in previous engagement initiatives undertaken through the first cycle of River Basin Management Planning for the EU Water Framework Directive (WFD), the Republic of Ireland has only recently embraced this bottom-up approach. The attempted introduction of national charging for domestic water use in 2015 has resulted in significant public disquiet and protest movements against the national government. In April 2015 we undertook a survey of current opinion on water management and community engagement initiatives in the Republic of Ireland and the United Kingdom. A total of 520 survey responses identified that although freshwater bodies are important in peoples' lives, respondents were typically unaware of global initiatives such as Integrated Water Resources Management and Integrated Catchment Management. Overall, 81% of respondents did not feel included in decisions about their water environment despite an overwhelming 95% believing that local communities should have a say in how the water environment is managed. However, only 35.1% of respondents stated that they would be willing to attend local water management engagement initiatives. Rather than supporting individual gain, respondents identified social gains for the local community as avenues for increasing local involvement in water initiatives. In the Republic of Ireland, a water engagement initiative that implements the national framework local delivery model should be developed and implemented. This would 1) contribute to the second round of WFD River Basin Management Planning; 2) facilitate stronger connections between local communities and their water environment; and 3) foster bottom-up initiatives that empower communities regarding local water management issues.

Water matters: An assessment of opinion on water management and community engagement in the Republic of Ireland and the United Kingdom

PubMed Central

Jennings, Eleanor; Linnane, Suzanne

2017-01-01

Internationally, water management is moving from the traditional top-down approach to more integrated initiatives focussing on community-led action. With inadequacies in previous engagement initiatives undertaken through the first cycle of River Basin Management Planning for the EU Water Framework Directive (WFD), the Republic of Ireland has only recently embraced this bottom-up approach. The attempted introduction of national charging for domestic water use in 2015 has resulted in significant public disquiet and protest movements against the national government. In April 2015 we undertook a survey of current opinion on water management and community engagement initiatives in the Republic of Ireland and the United Kingdom. A total of 520 survey responses identified that although freshwater bodies are important in peoples’ lives, respondents were typically unaware of global initiatives such as Integrated Water Resources Management and Integrated Catchment Management. Overall, 81% of respondents did not feel included in decisions about their water environment despite an overwhelming 95% believing that local communities should have a say in how the water environment is managed. However, only 35.1% of respondents stated that they would be willing to attend local water management engagement initiatives. Rather than supporting individual gain, respondents identified social gains for the local community as avenues for increasing local involvement in water initiatives. In the Republic of Ireland, a water engagement initiative that implements the national framework local delivery model should be developed and implemented. This would 1) contribute to the second round of WFD River Basin Management Planning; 2) facilitate stronger connections between local communities and their water environment; and 3) foster bottom-up initiatives that empower communities regarding local water management issues. PMID:28369136

Parallel structure among environmental gradients and three trophic levels in a subarctic estuary

USGS Publications Warehouse

Speckman, Suzann G.; Piatt, John F.; Minte-Vera, C. V.; Parrish, Julia K.

2005-01-01

We assessed spatial and temporal variability in the physical environment of a subarctic estuary, and examined concurrent patterns of chlorophyll α abundance (fluorescence), and zooplankton and forage fish community structure. Surveys were conducted in lower Cook Inlet, Alaska, during late July and early August from 1997 through 1999. Principle components analysis (PCA) revealed that spatial heterogeneity in the physical oceanographic environment of lower Cook Inlet could be modeled as three marine-estuarine gradients characterized by temperature, salinity, bottom depth, and turbidity. The gradients persisted from 1997 through 1999, and PCA explained 68% to 92% of the variance in physical oceanography for each gradient-year combination. Correlations between chlorophyll α abundance and distribution and the PCA axes were weak. Chlorophyll was reduced by turbidity, and low levels occurred in areas with high levels of suspended sediments. Detrended correspondence analysis (DCA) was used to order the sample sites based on species composition and to order the zooplankton and forage fish taxa based on similarities among sample sites for each gradient-year. Correlations between the structure of the physical environment (PCA axis 1) and zooplankton community structure (DCA axis 1) were strong (r = 0.43-0.86) in all years for the three marine-estuarine gradients, suggesting that zooplankton community composition was structured by the physical environment. The physical environment (PCA) and forage fish community structure (DCA) were weakly correlated in all years along Gradient 2, defined by halocline intensity and surface temperature and salinity, even though these physical variables were more important for defining zooplankton habitats. However, the physical environment (PCA) and forage fish community structure (DCA) were strongly correlated along the primary marine-estuarine gradient (#1) in 1997 (r = 0.87) and 1998 (r = 0.82). The correlation was poor (r = 0.32) in 1999, when fish community structure changed markedly in lower Cook Inlet. Capelin (Mallotus villosus), walleye pollock (Theragra chalcogramma), and arrowtooth flounder (Atheresthes stomias) were caught farther north than in previous years. Waters were significantly colder and more saline in 1999, a La Nina year, than in other years of the study. Interannual fluctuations in environmental conditions in lower Cook Inlet did not have substantial effects on zooplankton community structure, although abundance of individual taxa varied significantly. The abundance and distribution of chlorophyll α, zooplankton and forage fish were affected much more by spatial variability in physical oceanography than by interannual variability. Our examination of physical-biological linkages in lower Cook Inlet supports the concept of "bottom-up control," i.e., that variability in the physical environment structures higher trophic-level communities by influencing their distribution and abundance across space.

Parallel structure among environmental gradients and three trophic levels in a subarctic estuary

NASA Astrophysics Data System (ADS)

Speckman, Suzann G.; Piatt, John F.; Minte-Vera, Carolina V.; Parrish, Julia K.

2005-07-01

We assessed spatial and temporal variability in the physical environment of a subarctic estuary, and examined concurrent patterns of chlorophyll α abundance (fluorescence), and zooplankton and forage fish community structure. Surveys were conducted in lower Cook Inlet, Alaska, during late July and early August from 1997 through 1999. Principle components analysis (PCA) revealed that spatial heterogeneity in the physical oceanographic environment of lower Cook Inlet could be modeled as three marine-estuarine gradients characterized by temperature, salinity, bottom depth, and turbidity. The gradients persisted from 1997 through 1999, and PCA explained 68% to 92% of the variance in physical oceanography for each gradient-year combination. Correlations between chlorophyll α abundance and distribution and the PCA axes were weak. Chlorophyll was reduced by turbidity, and low levels occurred in areas with high levels of suspended sediments. Detrended correspondence analysis (DCA) was used to order the sample sites based on species composition and to order the zooplankton and forage fish taxa based on similarities among sample sites for each gradient-year. Correlations between the structure of the physical environment (PCA axis 1) and zooplankton community structure (DCA axis 1) were strong ( r = 0.43-0.86) in all years for the three marine-estuarine gradients, suggesting that zooplankton community composition was structured by the physical environment. The physical environment (PCA) and forage fish community structure (DCA) were weakly correlated in all years along Gradient 2, defined by halocline intensity and surface temperature and salinity, even though these physical variables were more important for defining zooplankton habitats. However, the physical environment (PCA) and forage fish community structure (DCA) were strongly correlated along the primary marine-estuarine gradient (#1) in 1997 ( r = 0.87) and 1998 ( r = 0.82). The correlation was poor ( r = 0.32) in 1999, when fish community structure changed markedly in lower Cook Inlet. Capelin ( Mallotus villosus), walleye pollock ( Theragra chalcogramma), and arrowtooth flounder ( Atheresthes stomias) were caught farther north than in previous years. Waters were significantly colder and more saline in 1999, a La Niña year, than in other years of the study. Interannual fluctuations in environmental conditions in lower Cook Inlet did not have substantial effects on zooplankton community structure, although abundance of individual taxa varied significantly. The abundance and distribution of chlorophyll α, zooplankton and forage fish were affected much more by spatial variability in physical oceanography than by interannual variability. Our examination of physical-biological linkages in lower Cook Inlet supports the concept of “bottom-up control,” i.e., that variability in the physical environment structures higher trophic-level communities by influencing their distribution and abundance across space.

Provision of hearing aids to children in Bangladesh: costs and cost-effectiveness of a community-based and a centre-based approach.

PubMed

Ekman, Björn; Borg, Johan

2017-08-01

The aim of this study is to provide evidence on the costs and health effects of two alternative hearing aid delivery models, a community-based and a centre-based approach. The study is set in Bangladesh and the study population is children between 12 and 18 years old. Data on resource use by participants and their caregivers were collected by a household survey. Follow-up data were collected after two months. Data on the costs to providers of the two approaches were collected by means of key informant interviews. The total cost per participant in the community-based model was BDT 6,333 (USD 79) compared with BDT 13,718 (USD 172) for the centre-based model. Both delivery models are found to be cost-effective with an estimated cost per DALY averted of BDT 17,611 (USD 220) for the community-based model and BDT 36,775 (USD 460) for the centre-based model. Using a community-based approach to deliver hearing aids to children in a resource constrained environment is a cost-effective alternative to the traditional centre-based approach. Further evidence is needed to draw conclusions for scale-up of approaches; rigorous analysis is possible using well-prepared data collection tools and working closely with sector professionals. Implications for Rehabilitation Delivery models vary by resources needed for their implementation. Community-based deliver models of hearing aids to children in low-income countries are a cost-effective alternative. The assessment of costs and effects of hearing aids delivery models in low-income countries is possible through planned collaboration between researchers and sector professionals.

Distributions of microbial activities in deep subseafloor sediments

NASA Technical Reports Server (NTRS)

D'Hondt, Steven; Jorgensen, Bo Barker; Miller, D. Jay; Batzke, Anja; Blake, Ruth; Cragg, Barry A.; Cypionka, Heribert; Dickens, Gerald R.; Ferdelman, Timothy; Hinrichs, Kai-Uwe;

Enriching acid rock drainage related microbial communities from surface-deposited oil sands tailings.

PubMed

Dean, Courtney; Xiao, Yeyuan; Roberts, Deborah J

2016-10-01

Little is known about the microbial communities native to surface-deposited pyritic oil sands tailings, an environment where acid rock drainage (ARD) could occur. The goal of this study was to enrich sulfur-oxidizing organisms from these tailings and determine whether different populations exist at pH levels 7, 4.5, and 2.5. Using growth-based methods provides model organisms for use in the future to predict potential activities and limitations of these organisms and to develop possible control methods. Thiosulfate-fed enrichment cultures were monitored for approximately 1 year. The results showed that the enrichments at pH 4.5 and 7 were established quicker than at pH 2.5. Different microbial community structures were found among the 3 pH environments. The sulfur-oxidizing microorganisms identified were most closely related to Halothiobacillus neapolitanus, Achromobacter spp., and Curtobacterium spp. While microorganisms related to Chitinophagaceae and Acidocella spp. were identified as the only possible iron-oxidizing and -reducing microbes. These results contribute to the general knowledge of the relatively understudied microbial communities that exist in pyritic oil sands tailings and indicate these communities may have a potential role in ARD generation, which may have implications for future tailings management.

Training a medical workforce to meet the needs of diverse minority communities.

PubMed

Sopoaga, Faafetai; Zaharic, Tony; Kokaua, Jesse; Covello, Sahra

2017-01-21

The growing demand for a competent health workforce to meet the needs of increasingly diverse societies has been widely acknowledged. One medical school in New Zealand explored the integration of the commonly used patient-centred model approach, with an intersectional framework in the development of a cultural competency training programme. In the Pacific Immersion Programme, medical students in their fourth year of training are given the opportunity to learn about different factors that influence the health and health care of a minority community through immersion in that community. The programme objectives include enabling students to learn through experience living within the local community context, and supporting them to re-evaluate their own personal beliefs, assumptions and/or prior prejudices. This study evaluates the usefulness of this programme in the training of medical students to work in diverse communities. Two analytical approaches were used for evaluation. Deductive and inductive analyses were conducted on 235 reflective essays completed by three cohorts of students from 2011 to 2013 to ascertain the value of the programme for student learning. In addition, one cohort was invited to complete a pre and post-programme questionnaire. Overall, the students found the programme to be a valued learning environment. They found living within a Pacific family environment to be an eye opening experience. It increased students comfort level in cross cultural engagement and emphasised the importance of patient's perspectives in health care provision. Students' self-reported knowledge about Pacific cultural values, protocols, traditional beliefs and the main health challenges increased significantly after the programme. They appreciated learning directly from community members, and through observations about how culture, beliefs and the socio-economic environment influence peoples' health and wellbeing. Medical schools are required to train a competent health workforce to meet the needs of diverse communities. The Pacific Immersion Programme provides a unique learning environment which can improve the training of doctors to work in diverse communities. The key to its success is enabling students to be engaged learners from "the inside" rather than an "outsider looking in". The Programme enables experiential learning in a sensitive and meaningful way and can be useful for training in other institutions.

Increasing Community Access to Fresh Fruits and Vegetables: A Case Study of the Farm Fresh Market Pilot Program in Cobb County, Georgia, 2014.

PubMed

Woodruff, Rebecca C; Coleman, Anne-Marie; Hermstad, April K; Honeycutt, Sally; Munoz, Jennifer; Loh, Lorna; Brown, Agnes F; Shipley, Rebecca; Kegler, Michelle C

2016-03-10

Ecological models of health suggest that to effectively prevent chronic disease, community food environments must support healthy eating behaviors. However, disparities in access to healthy foods persist in the United States. The Farm Fresh Market (FFM) was a fruit and vegetable market that sold low-cost fresh produce in Cobb County, Georgia in 2014. This case study describes the development of the FFM through a community engagement process and presents evaluation results from the project's pilot implementation. Community engagement strategies included forming a community advisory board, conducting a needs assessment, and contracting with a community-based organization to implement the FFM. In the pilot year, the FFM served an average of 28.7 customers and generated an average of $140.20 in produce sales per market day. Most returning customers lived in the local community and reported a range of socioeconomic backgrounds. Most returning customers strongly agreed that the FFM made it easier (69.0%) and less expensive (79.0%) for them to buy fresh fruits and vegetables, reported that they ate more vegetables (65.0%) and fruit (55.0%) as a result of the FFM, and reported that they were very satisfied with the FFM overall (92.0%). Results from this community case study underscore the importance of engaging communities in the development of community food environment interventions. Results also suggest that the FFM initiative was a feasible and acceptable way to respond to the community-identified public health priority of increasing access to healthy foods.

Sustainability of a community-based anti-retroviral care delivery model - a qualitative research study in Tete, Mozambique.

PubMed

Rasschaert, Freya; Decroo, Tom; Remartinez, Daniel; Telfer, Barbara; Lessitala, Faustino; Biot, Marc; Candrinho, Baltazar; Van Damme, Wim

2014-01-01

To overcome patients' reported barriers to accessing anti-retroviral therapy (ART), a community-based delivery model was piloted in Tete, Mozambique. Community ART Groups (CAGs) of maximum six patients stable on ART offered cost- and time-saving benefits and mutual psychosocial support, which resulted in better adherence and retention outcomes. To date, Médecins Sans Frontières has coordinated and supported these community-driven activities. To better understand the sustainability of the CAG model, we developed a conceptual framework on sustainability of community-based programmes. This was used to explore the data retrieved from 16 focus group discussions and 24 in-depth interviews with different stakeholder groups involved in the CAG model and to identify factors influencing the sustainability of the CAG model. We report the findings according to the framework's five components. (1) The CAG model was designed to overcome patients' barriers to ART and was built on a concept of self-management and patient empowerment to reach effective results. (2) Despite the progressive Ministry of Health (MoH) involvement, the daily management of the model is still strongly dependent on external resources, especially the need for a regulatory cadre to form and monitor the groups. These additional resources are in contrast to the limited MoH resources available. (3) The model is strongly embedded in the community, with patients taking a more active role in their own healthcare and that of their peers. They are considered as partners in healthcare, which implies a new healthcare approach. (4) There is a growing enabling environment with political will and general acceptance to support the CAG model. (5) However, contextual factors, such as poverty, illiteracy and the weak health system, influence the community-based model and need to be addressed. The community embeddedness of the model, together with patient empowerment, high acceptability and progressive MoH involvement strongly favour the future sustainability of the CAG model. The high dependency on external resources for the model's daily management, however, can potentially jeopardize its sustainability. Further reflections are required on possible solutions to solve these challenges, especially in terms of human resources.

Challenges in assessing food environments in northern and remote communities in Canada.

PubMed

Skinner, Kelly; Burnett, Kristin; Williams, Patricia; Martin, Debbie; Stothart, Christopher; LeBlanc, Joseph; Veeraraghavan, Gigi; Sheedy, Amanda

2016-06-09

Effective tools for retail food environments in northern and remote communities are lacking. This paper examines the challenges of conducting food environment assessments in northern and remote communities in Canada encountered during our experience with a food costing project. One of the goals of the Paying for Nutrition in the North project is to develop guidelines to improve current food costing tools for northern Canada. Paying for Nutrition illustrates the complex context of measuring food environments in northern and remote communities. Through the development of a food costing methodology guide to assess northern food environments, several contextual issues emerged, including retail store oligopolies in communities; the importance of assessing food quality; informal social food economies; and the challenge of costing the acquisition and consumption of land- and water-based foods. Food environment measures designed for northern and remote communities need to reflect the geographic context in which they are being employed and must include input from local residents.

Addressing Mental Health Needs: Perspectives from African Americans Living in the Rural South

PubMed Central

Haynes, Tiffany F.; Cheney, Ann; Sullivan, Greer; Bryant, Keneshia; Curran, Geoffrey; Olson, Mary; Cottoms, Naomi; Reaves, Christina

2017-01-01

OBJECTIVE Rural African Americans are disproportionately impacted by social stressors that place them at risk of developing psychiatric disorders. This study aims to understand mental health from the perspective of rural African American residents and other stakeholders in order to devise culturally acceptable treatment approaches. METHODS Seven focus groups (N=50) were conducted with four stakeholder groups. A semi-structured interview guide was used to elicit perspectives of mental health, mental health treatment, and ways to improve mental health within rural African American communities. Inductive analysis was used to identify emergent themes and develop a conceptual model grounded in the textual data. RESULTS Stressful living environments (e.g. impoverished communities) and broader community held beliefs (e.g. religious beliefs and mental health stigma) impacted not only perceptions of mental health but also contributed to barriers that impede mental health seeking. Participants also identified community level strategies that can be utilized to improve emotional wellness in rural African American communities. CONCLUSION Rural African Americans experience several barriers that impede treatment use. Strategies that include conceptualizing mental illness as a normal reaction to stressful living environments, the use of community-based mental health services, and providing mental health education to the general public may improve use of services in this population. PMID:28142389

Do Changes in Current Flow as a Result of Arrays of Tidal Turbines Have an Effect on Benthic Communities?

PubMed

Kregting, Louise; Elsaesser, Bjoern; Kennedy, Robert; Smyth, David; O'Carroll, Jack; Savidge, Graham

2016-01-01

Arrays of tidal energy converters have the potential to provide clean renewable energy for future generations. Benthic communities may, however, be affected by changes in current speeds resulting from arrays of tidal converters located in areas characterised by strong currents. Current speed, together with bottom type and depth, strongly influence benthic community distributions; however the interaction of these factors in controlling benthic dynamics in high energy environments is poorly understood. The Strangford Lough Narrows, the location of SeaGen, the world's first single full-scale, grid-compliant tidal energy extractor, is characterised by spatially heterogenous high current flows. A hydrodynamic model was used to select a range of benthic community study sites that had median flow velocities between 1.5-2.4 m/s in a depth range of 25-30 m. 25 sites were sampled for macrobenthic community structure using drop down video survey to test the sensitivity of the distribution of benthic communities to changes in the flow field. A diverse range of species were recorded which were consistent with those for high current flow environments and corresponding to very tide-swept faunal communities in the EUNIS classification. However, over the velocity range investigated, no changes in benthic communities were observed. This suggested that the high physical disturbance associated with the high current flows in the Strangford Narrows reflected the opportunistic nature of the benthic species present with individuals being continuously and randomly affected by turbulent forces and physical damage. It is concluded that during operation, the removal of energy by marine tidal energy arrays in the far-field is unlikely to have a significant effect on benthic communities in high flow environments. The results are of major significance to developers and regulators in the tidal energy industry when considering the environmental impacts for site licences.

Do Changes in Current Flow as a Result of Arrays of Tidal Turbines Have an Effect on Benthic Communities?

PubMed Central

Kregting, Louise; Elsaesser, Bjoern; Kennedy, Robert; Smyth, David; O’Carroll, Jack; Savidge, Graham

2016-01-01

Arrays of tidal energy converters have the potential to provide clean renewable energy for future generations. Benthic communities may, however, be affected by changes in current speeds resulting from arrays of tidal converters located in areas characterised by strong currents. Current speed, together with bottom type and depth, strongly influence benthic community distributions; however the interaction of these factors in controlling benthic dynamics in high energy environments is poorly understood. The Strangford Lough Narrows, the location of SeaGen, the world’s first single full-scale, grid-compliant tidal energy extractor, is characterised by spatially heterogenous high current flows. A hydrodynamic model was used to select a range of benthic community study sites that had median flow velocities between 1.5–2.4 m/s in a depth range of 25–30 m. 25 sites were sampled for macrobenthic community structure using drop down video survey to test the sensitivity of the distribution of benthic communities to changes in the flow field. A diverse range of species were recorded which were consistent with those for high current flow environments and corresponding to very tide-swept faunal communities in the EUNIS classification. However, over the velocity range investigated, no changes in benthic communities were observed. This suggested that the high physical disturbance associated with the high current flows in the Strangford Narrows reflected the opportunistic nature of the benthic species present with individuals being continuously and randomly affected by turbulent forces and physical damage. It is concluded that during operation, the removal of energy by marine tidal energy arrays in the far-field is unlikely to have a significant effect on benthic communities in high flow environments. The results are of major significance to developers and regulators in the tidal energy industry when considering the environmental impacts for site licences. PMID:27560657

Character displacement and the evolution of niche complementarity in a model biofilm community.

PubMed

Ellis, Crystal N; Traverse, Charles C; Mayo-Smith, Leslie; Buskirk, Sean W; Cooper, Vaughn S

2015-02-01

Colonization of vacant environments may catalyze adaptive diversification and be followed by competition within the nascent community. How these interactions ultimately stabilize and affect productivity are central problems in evolutionary ecology. Diversity can emerge by character displacement, in which selection favors phenotypes that exploit an alternative resource and reduce competition, or by facilitation, in which organisms change the environment and enable different genotypes or species to become established. We previously developed a model of long-term experimental evolution in which bacteria attach to a plastic bead, form a biofilm, and disperse to a new bead. Here, we focus on the evolution of coexisting mutants within a population of Burkholderia cenocepacia and how their interactions affected productivity. Adaptive mutants initially competed for space, but later competition declined, consistent with character displacement and the predicted effects of the evolved mutations. The community reached a stable equilibrium as each ecotype evolved to inhabit distinct, complementary regions of the biofilm. Interactions among ecotypes ultimately became facilitative and enhanced mixed productivity. Observing the succession of genotypes within niches illuminated changing selective forces within the community, including a fundamental role for genotypes producing small colony variants that underpin chronic infections caused by B. cenocepacia. © 2014 The Author(s). Evolution published by Wiley Periodicals, Inc. on behalf of The Society for the Study of Evolution.

Inclusion of ecologically based trait variation in plant functional types reduces the projected land carbon sink in an earth system model.

PubMed

Verheijen, Lieneke M; Aerts, Rien; Brovkin, Victor; Cavender-Bares, Jeannine; Cornelissen, Johannes H C; Kattge, Jens; van Bodegom, Peter M

2015-08-01

Earth system models demonstrate large uncertainty in projected changes in terrestrial carbon budgets. The lack of inclusion of adaptive responses of vegetation communities to the environment has been suggested to hamper the ability of modeled vegetation to adequately respond to environmental change. In this study, variation in functional responses of vegetation has been added to an earth system model (ESM) based on ecological principles. The restriction of viable mean trait values of vegetation communities by the environment, called 'habitat filtering', is an important ecological assembly rule and allows for determination of global scale trait-environment relationships. These relationships were applied to model trait variation for different plant functional types (PFTs). For three leaf traits (specific leaf area, maximum carboxylation rate at 25 °C, and maximum electron transport rate at 25 °C), relationships with multiple environmental drivers, such as precipitation, temperature, radiation, and CO2 , were determined for the PFTs within the Max Planck Institute ESM. With these relationships, spatiotemporal variation in these formerly fixed traits in PFTs was modeled in global change projections (IPCC RCP8.5 scenario). Inclusion of this environment-driven trait variation resulted in a strong reduction of the global carbon sink by at least 33% (2.1 Pg C yr(-1) ) from the 2nd quarter of the 21st century onward compared to the default model with fixed traits. In addition, the mid- and high latitudes became a stronger carbon sink and the tropics a stronger carbon source, caused by trait-induced differences in productivity and relative respirational costs. These results point toward a reduction of the global carbon sink when including a more realistic representation of functional vegetation responses, implying more carbon will stay airborne, which could fuel further climate change. © 2015 John Wiley & Sons Ltd.

Public (Q)SAR Services, Integrated Modeling Environments, and Model Repositories on the Web: State of the Art and Perspectives for Future Development.

PubMed

Tetko, Igor V; Maran, Uko; Tropsha, Alexander

2017-03-01

Thousands of (Quantitative) Structure-Activity Relationships (Q)SAR models have been described in peer-reviewed publications; however, this way of sharing seldom makes models available for the use by the research community outside of the developer's laboratory. Conversely, on-line models allow broad dissemination and application representing the most effective way of sharing the scientific knowledge. Approaches for sharing and providing on-line access to models range from web services created by individual users and laboratories to integrated modeling environments and model repositories. This emerging transition from the descriptive and informative, but "static", and for the most part, non-executable print format to interactive, transparent and functional delivery of "living" models is expected to have a transformative effect on modern experimental research in areas of scientific and regulatory use of (Q)SAR models. © 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Developing Learning Environments: Challenges for Theory, Research and Practice.

ERIC Educational Resources Information Center

Iles, Paul

1994-01-01

Key challenges in development of learning organizations, promotion of learning culture, enhancement of learning processes, and development of learning communities are appropriateness of current models for interdisciplinary teams; whether valuing diversity enhances effectiveness; how global human resource development affects domestic; and what…

A Multi-dimensional Model for Vehicle Impact on Traffic Safety, Congestion, and Environment

DOT National Transportation Integrated Search

2012-01-01

The Intelligent Transportation System (ITS) has recently received great attention in the research : community. It offers a revolutionary vision of transportation, in which a full-scale : communication scheme between vehicles (V2V) and vehicles and in...

Meeting the computer technology needs of community faculty: building new models for faculty development.

PubMed

Baldwin, Constance D; Niebuhr, Virginia N; Sullivan, Brian

2004-01-01

We aimed to identify the evolving computer technology needs and interests of community faculty in order to design an effective faculty development program focused on computer skills: the Teaching and Learning Through Educational Technology (TeLeTET) program. Repeated surveys were conducted between 1994 and 2002 to assess computer resources and needs in a pool of over 800 primary care physician-educators in community practice in East Texas. Based on the results, we developed and evaluated several models to teach community preceptors about computer technologies that are useful for education. Before 1998, only half of our community faculty identified a strong interest in developing their technology skills. As the revolution in telecommunications advanced, however, preceptors' needs and interests changed, and the use of this technology to support community-based teaching became feasible. In 1998 and 1999, resource surveys showed that many of our community teaching sites had computers and Internet access. By 2001, the desire for teletechnology skills development was strong in a nucleus of community faculty, although lack of infrastructure, time, and skills were identified barriers. The TeLeTET project developed several innovative models for technology workshops and conferences, supplemented by online resources, that were well attended and positively evaluated by 181 community faculty over a 3-year period. We have identified the evolving needs of community faculty through iterative needs assessments, developed a flexible faculty development curriculum, and used open-ended, formative evaluation techniques to keep the TeLeTET program responsive to a rapidly changing environment for community-based education in computer technology.

C3: A Collaborative Web Framework for NASA Earth Exchange

NASA Astrophysics Data System (ADS)

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

2010-12-01

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

Associations between the Quality of the Residential Built Environment and Pregnancy Outcomes among Women in North Carolina

PubMed Central

Messer, Lynne C.; Kroeger, Gretchen L.

2011-01-01

Background: The built environment, a key component of environmental health, may be an important contributor to health disparities, particularly for reproductive health outcomes. Objective: In this study we investigated the relationship between seven indices of residential built environment quality and adverse reproductive outcomes for the City of Durham, North Carolina (USA). Methods: We surveyed approximately 17,000 residential tax parcels in central Durham, assessing > 50 individual variables on each. These data, collected using direct observation, were combined with tax assessor, public safety, and U.S. Census data to construct seven indices representing important domains of the residential built environment: housing damage, property disorder, security measures, tenure (owner or renter occupied), vacancy, crime count, and nuisance count. Fixed-slope random-intercept multilevel models estimated the association between the residential built environment and five adverse birth outcomes. Models were adjusted for maternal characteristics and clustered at the primary adjacency community unit, defined as the index block, plus all adjacent blocks that share any portion of a line segment (block boundary) or vertex. Results: Five built environment indices (housing damage, property disorder, tenure, vacancy, and nuisance count) were associated with each of the five outcomes in the unadjusted context: preterm birth, small for gestational age (SGA), low birth weight (LBW), continuous birth weight, and birth weight percentile for gestational age (BWPGA; sex-specific birth weight distributions for infants delivered at each gestational age using National Center for Health Statistics referent births for 2000–2004). However, some estimates were attenuated after adjustment. In models adjusted for individual-level covariates, housing damage remained statistically significantly associated with SGA, birth weight, and BWPGA. Conclusion: This work suggests a real and meaningful relationship between the quality of the residential built environment and birth outcomes, which we argue are a good measure of general community health. PMID:22138639

Community Concern on Environmental Conservation

NASA Astrophysics Data System (ADS)

Nugraha, Fajar Adie; Maryono

2018-02-01

Research on the relationship between humans and the environment is always very interesting to be studied. This paper is one of the studies of sustainable development in its implementation with the empowerment of society that comes from the community itself. So far, community studies related to development occasionally target the growth of the economic side only. Community study on the environment becomes an alternative choice, compared with human relationships with humans themselves, or humans with human needs themselves. The study of community development by looking at the environment can be a wise choice, where all activities of fulfilling human needs are always inseparable from the element of interaction with the environment. Community development that is based on the environment itself, will give a better impact, just solely. Various methods of learning human relationships. A community-based environmental assessment study can be an alternative choice to support a sustainable development mission, which is development that has a positive impact on the present and the future.

A Social Partnership Model to Promote Educators' Development in Mauritius through Formal and Informal Capacity-Building Initiatives

ERIC Educational Resources Information Center

Santally, Mohammad Issack; Cooshna-Naik, Dorothy; Conruyt, Noel; Wing, Caroline Koa

2015-01-01

This paper describes a social partnership model based on the living lab concept to promote the professional development of educators through formal and informal capacity-building initiatives. The aim is to have a broader impact on society through community outreach educational initiatives. A Living Lab is an environment for user-centered…

Planning Model for School Facilities. A Planning Model for a Secondary School Utilizing a Multi-dimensional Approach for Optimum Flexibility.

ERIC Educational Resources Information Center

Chelmsford Park High School, Chelmsford, MA.

That the construction of a multi-million dollar school plant should be the result of the community's best possible thought, since concrete and steel are not suitable media for necessary future changes in the educational environment, is the basic philosophy of this report. Architects, administrators, teachers, school committeemen, and consultants…

Child overweight and undernutrition in Thailand: is there an urban effect?

PubMed

Firestone, Rebecca; Punpuing, Sureeporn; Peterson, Karen E; Acevedo-Garcia, Dolores; Gortmaker, Steven L

2011-05-01

An urban advantage in terms of lower risk of child undernutrition has been observed in many developing countries, but child obesity is often more prevalent in urban than rural areas. This study aimed to assess whether urban-rural disparities in undernutrition and obesity were attributable to concentrations of socioeconomically advantaged children into urban communities or to specific aspects of the urban environment. A sample of 4610 children ages 2-10 years was derived from the 2004 Round of the Kanchanaburi Demographic Surveillance System, monitoring health and demographic change in the province of Kanchanaburi, Thailand. We used multi-level logistic regression to model the odds of short stature, underweight, and obesity for children in 102 communities. Models tested whether child socioeconomic conditions accounted for urban-rural disparities or if aspects of the social and physical environment accounted for disparities, adjusting for child characteristics. 27.8% of children were underweight, while 19.9% had short stature, and 8.3% were obese. Bivariate associations showed urban residence associated with lower risk of undernutrition and a greater risk of obesity. Urban-rural disparities in odds of short stature and underweight were accounted for by child socioeconomic characteristics. Urban residence persisted as a risk factor for obesity after adjusting for child characteristics. Community wealth concentration, television coverage, and sanitation coverage were independently associated with greater risk of obesity. Undernutrition was strongly associated with household poverty, while household affluence and characteristics of the urban environment were associated with odds of obesity. Further research is needed to characterize how urban environments contribute to children's risks of obesity in developing countries. Copyright © 2011 Elsevier Ltd. All rights reserved.

An interactive environment for the analysis of large Earth observation and model data sets

NASA Technical Reports Server (NTRS)

Bowman, Kenneth P.; Walsh, John E.; Wilhelmson, Robert B.

1993-01-01

We propose to develop an interactive environment for the analysis of large Earth science observation and model data sets. We will use a standard scientific data storage format and a large capacity (greater than 20 GB) optical disk system for data management; develop libraries for coordinate transformation and regridding of data sets; modify the NCSA X Image and X DataSlice software for typical Earth observation data sets by including map transformations and missing data handling; develop analysis tools for common mathematical and statistical operations; integrate the components described above into a system for the analysis and comparison of observations and model results; and distribute software and documentation to the scientific community.

An interactive environment for the analysis of large Earth observation and model data sets

NASA Technical Reports Server (NTRS)

Bowman, Kenneth P.; Walsh, John E.; Wilhelmson, Robert B.

1992-01-01

We propose to develop an interactive environment for the analysis of large Earth science observation and model data sets. We will use a standard scientific data storage format and a large capacity (greater than 20 GB) optical disk system for data management; develop libraries for coordinate transformation and regridding of data sets; modify the NCSA X Image and X Data Slice software for typical Earth observation data sets by including map transformations and missing data handling; develop analysis tools for common mathematical and statistical operations; integrate the components described above into a system for the analysis and comparison of observations and model results; and distribute software and documentation to the scientific community.

Challenges in the management of chronic noncommunicable diseases by Indonesian community pharmacists.

PubMed

Puspitasari, Hanni P; Aslani, Parisa; Krass, Ines

2015-01-01

We explored factors influencing Indonesian primary care pharmacists' practice in chronic noncommunicable disease management and proposed a model illustrating relationships among factors. We conducted in-depth, semistructured interviews with pharmacists working in community health centers (Puskesmas, n=5) and community pharmacies (apotek, n=15) in East Java Province. We interviewed participating pharmacists using Bahasa Indonesia to explore facilitators and barriers to their practice in chronic disease management. We audiorecorded all interviews, transcribed ad verbatim, translated into English and analyzed the data using an approach informed by "grounded-theory". We extracted five emergent themes/factors: pharmacists' attitudes, Puskesmas/apotek environment, pharmacy education, pharmacy professional associations, and the government. Respondents believed that primary care pharmacists have limited roles in chronic disease management. An unfavourable working environment and perceptions of pharmacists' inadequate knowledge and skills were reported by many as barriers to pharmacy practice. Limited professional standards, guidelines, leadership and government regulations coupled with low expectations of pharmacists among patients and doctors also contributed to their lack of involvement in chronic disease management. We present the interplay of these factors in our model. Pharmacists' attitudes, knowledge, skills and their working environment appeared to influence pharmacists' contribution in chronic disease management. To develop pharmacists' involvement in chronic disease management, support from pharmacy educators, pharmacy owners, professional associations, the government and other stakeholders is required. Our findings highlight a need for systematic coordination between pharmacists and stakeholders to improve primary care pharmacists' practice in Indonesia to achieve continuity of care.

New Evaluation Vector through the Stanford Mobile Inquiry-Based Learning Environment (SMILE) for Participatory Action Research

PubMed Central

An, Ji-Young

2016-01-01

Objectives This article reviews an evaluation vector model driven from a participatory action research leveraging a collective inquiry system named SMILE (Stanford Mobile Inquiry-based Learning Environment). Methods SMILE has been implemented in a diverse set of collective inquiry generation and analysis scenarios including community health care-specific professional development sessions and community-based participatory action research projects. In each scenario, participants are given opportunities to construct inquiries around physical and emotional health-related phenomena in their own community. Results Participants formulated inquiries as well as potential clinical treatments and hypothetical scenarios to address health concerns or clarify misunderstandings or misdiagnoses often found in their community practices. From medical universities to rural village health promotion organizations, all participatory inquiries and potential solutions can be collected and analyzed. The inquiry and solution sets represent an evaluation vector which helps educators better understand community health issues at a much deeper level. Conclusions SMILE helps collect problems that are most important and central to their community health concerns. The evaluation vector, consisting participatory and collective inquiries and potential solutions, helps the researchers assess the participants' level of understanding on issues around health concerns and practices while helping the community adequately formulate follow-up action plans. The method used in SMILE requires much further enhancement with machine learning and advanced data visualization. PMID:27525157

A multifactorial obesity model developed from nationwide public health exposome data and modern computational analyses.

PubMed

Gittner, LisaAnn S; Kilbourne, Barbara J; Vadapalli, Ravi; Khan, Hafiz M K; Langston, Michael A

Obesity is both multifactorial and multimodal, making it difficult to identify, unravel and distinguish causative and contributing factors. The lack of a clear model of aetiology hampers the design and evaluation of interventions to prevent and reduce obesity. Using modern graph-theoretical algorithms, we are able to coalesce and analyse thousands of inter-dependent variables and interpret their putative relationships to obesity. Our modelling is different from traditional approaches; we make no a priori assumptions about the population, and model instead based on the actual characteristics of a population. Paracliques, noise-resistant collections of highly-correlated variables, are differentially distilled from data taken over counties associated with low versus high obesity rates. Factor analysis is then applied and a model is developed. Latent variables concentrated around social deprivation, community infrastructure and climate, and especially heat stress were connected to obesity. Infrastructure, environment and community organisation differed in counties with low versus high obesity rates. Clear connections of community infrastructure with obesity in our results lead us to conclude that community level interventions are critical. This effort suggests that it might be useful to study and plan interventions around community organisation and structure, rather than just the individual, to combat the nation's obesity epidemic. Copyright © 2017 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

An integrated model of social environment and social context for pediatric rehabilitation.

PubMed

Batorowicz, Beata; King, Gillian; Mishra, Lipi; Missiuna, Cheryl

2016-01-01

This article considers the conceptualization and operationalization of "social environment" and "social context" with implications for research and practice with children and youth with impairments. We first discuss social environment and social context as constructs important for understanding interaction between external environmental qualities and the individual's experience. The article considers existing conceptualizations within psychological and sociological bodies of literature, research using these concepts, current developmental theories and issues in the understanding of environment and participation within rehabilitation science. We then describe a model that integrates a person-focused perspective with an environment-focused perspective and that outlines the mechanisms through which children/youth and social environment interact and transact. Finally, we consider the implications of the proposed model for research and clinical practice. This conceptual model directs researchers and practitioners toward interventions that will address the mechanisms of child-environment interaction and that will build capacity within both children and their social environments, including families, peers groups and communities. Health is created and lived by people within the settings of their everyday life; where they learn, work, play, and love [p.2]. Understanding how social environment and personal factors interact over time to affect the development of children/youth can influence the design of services for children and youth with impairments. The model described integrates the individual-focused and environment-focused perspectives and outlines the mechanisms of the ongoing reciprocal interaction between children/youth and their social environments: provision of opportunities, resources and supports and contextual processes of choice, active engagement and collaboration. Addressing these mechanisms could contribute to creating healthier environments in which all children, including children with impairments, have experiences that lead to positive developmental benefits.

Establishing a Framework for Community Modeling in Hydrologic Science: Recommendations from the CUAHSI CHyMP Initiative

NASA Astrophysics Data System (ADS)

Arrigo, J. S.; Famiglietti, J. S.; Murdoch, L. C.; Lakshmi, V.; Hooper, R. P.

2012-12-01

The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) continues a major effort towards supporting Community Hydrologic Modeling. From 2009 - 2011, the Community Hydrologic Modeling Platform (CHyMP) initiative held three workshops, the ultimate goal of which was to produce recommendations and an implementation plan to establish a community modeling program that enables comprehensive simulation of water anywhere on the North American continent. Such an effort would include connections to and advances in global climate models, biogeochemistry, and efforts of other disciplines that require an understanding of water patterns and processes in the environment. To achieve such a vision will require substantial investment in human and cyber-infrastructure and significant advances in the science of hydrologic modeling and spatial scaling. CHyMP concluded with a final workshop, held March 2011, and produced several recommendations. CUAHSI and the university community continue to advance community modeling and implement these recommendations through several related and follow on efforts. Key results from the final 2011 workshop included agreement among participants that the community is ready to move forward with implementation. It is recognized that initial implementation of this larger effort can begin with simulation capabilities that currently exist, or that can be easily developed. CHyMP identified four key activities in support of community modeling: benchmarking, dataset evaluation and development, platform evaluation, and developing a national water model framework. Key findings included: 1) The community supported the idea of a National Water Model framework; a community effort is needed to explore what the ultimate implementation of a National Water Model is. A true community modeling effort would support the modeling of "water anywhere" and would include all relevant scales and processes. 2) Implementation of a community modeling program could initially focus on continental scale modeling of water quantity (rather than quality). The goal of this initial model is the comprehensive description of water stores and fluxes in such a way to permit linkage to GCM's, biogeochemical, ecological, and geomorphic models. This continental scale focus allows systematic evaluation of our current state of knowledge and data, leverages existing efforts done by large scale modelers, contributes to scientific discovery that informs globally and societal relevant questions, and provides an initial framework to evaluate hydrologic information relevant to other disciplines and a structure into which to incorporate other classes of hydrologic models. 3) Dataset development will be a key aspect of any successful national water model implementation. Our current knowledge of the subsurface is limiting our ability to truly integrate soil and groundwater into large scale models, and to answering critical science questions with societal relevance (i.e. groundwater's influence on climate). 4) The CHyMP workshops and efforts to date have achieved collaboration between university scientists, government agencies and the private sector that must be maintained. Follow on efforts in community modeling should aim at leveraging and maintaining this collaboration for maximum scientific and societal benefit.

Assessing Participation in Community-Based Physical Activity Programs in Brazil

PubMed Central

REIS, RODRIGO S.; YAN, YAN; PARRA, DIANA C.; BROWNSON, ROSS C.

2015-01-01

Purpose This study aimed to develop and validate a risk prediction model to examine the characteristics that are associated with participation in community-based physical activity programs in Brazil. Methods We used pooled data from three surveys conducted from 2007 to 2009 in state capitals of Brazil with 6166 adults. A risk prediction model was built considering program participation as an outcome. The predictive accuracy of the model was quantified through discrimination (C statistic) and calibration (Brier score) properties. Bootstrapping methods were used to validate the predictive accuracy of the final model. Results The final model showed sex (women: odds ratio [OR] = 3.18, 95% confidence interval [CI] = 2.14–4.71), having less than high school degree (OR = 1.71, 95% CI = 1.16–2.53), reporting a good health (OR = 1.58, 95% CI = 1.02–2.24) or very good/excellent health (OR = 1.62, 95% CI = 1.05–2.51), having any comorbidity (OR = 1.74, 95% CI = 1.26–2.39), and perceiving the environment as safe to walk at night (OR = 1.59, 95% CI = 1.18–2.15) as predictors of participation in physical activity programs. Accuracy indices were adequate (C index = 0.778, Brier score = 0.031) and similar to those obtained from bootstrapping (C index = 0.792, Brier score = 0.030). Conclusions Sociodemographic and health characteristics as well as perceptions of the environment are strong predictors of participation in community-based programs in selected cities of Brazil. PMID:23846162

Optimal Decision Model for Sustainable Hospital Building Renovation—A Case Study of a Vacant School Building Converting into a Community Public Hospital

PubMed Central

Juan, Yi-Kai; Cheng, Yu-Ching; Perng, Yeng-Horng; Castro-Lacouture, Daniel

2016-01-01

Much attention has been paid to hospitals environments since modern pandemics have emerged. The building sector is considered to be the largest world energy consumer, so many global organizations are attempting to create a sustainable environment in building construction by reducing energy consumption. Therefore, maintaining high standards of hygiene while reducing energy consumption has become a major task for hospitals. This study develops a decision model based on genetic algorithms and A* graph search algorithms to evaluate existing hospital environmental conditions and to recommend an optimal scheme of sustainable renovation strategies, considering trade-offs among minimal renovation cost, maximum quality improvement, and low environmental impact. Reusing vacant buildings is a global and sustainable trend. In Taiwan, for example, more and more school space will be unoccupied due to a rapidly declining birth rate. Integrating medical care with local community elder-care efforts becomes important because of the aging population. This research introduces a model that converts a simulated vacant school building into a community public hospital renovation project in order to validate the solutions made by hospital managers and suggested by the system. The result reveals that the system performs well and its solutions are more successful than the actions undertaken by decision-makers. This system can improve traditional hospital building condition assessment while making it more effective and efficient. PMID:27347986

Optimal Decision Model for Sustainable Hospital Building Renovation-A Case Study of a Vacant School Building Converting into a Community Public Hospital.

PubMed

Juan, Yi-Kai; Cheng, Yu-Ching; Perng, Yeng-Horng; Castro-Lacouture, Daniel

2016-06-24

Much attention has been paid to hospitals environments since modern pandemics have emerged. The building sector is considered to be the largest world energy consumer, so many global organizations are attempting to create a sustainable environment in building construction by reducing energy consumption. Therefore, maintaining high standards of hygiene while reducing energy consumption has become a major task for hospitals. This study develops a decision model based on genetic algorithms and A* graph search algorithms to evaluate existing hospital environmental conditions and to recommend an optimal scheme of sustainable renovation strategies, considering trade-offs among minimal renovation cost, maximum quality improvement, and low environmental impact. Reusing vacant buildings is a global and sustainable trend. In Taiwan, for example, more and more school space will be unoccupied due to a rapidly declining birth rate. Integrating medical care with local community elder-care efforts becomes important because of the aging population. This research introduces a model that converts a simulated vacant school building into a community public hospital renovation project in order to validate the solutions made by hospital managers and suggested by the system. The result reveals that the system performs well and its solutions are more successful than the actions undertaken by decision-makers. This system can improve traditional hospital building condition assessment while making it more effective and efficient.

LA SAFE and Isle de Jean Charles: Regional Adaptation and Community Resettlement Planning

NASA Astrophysics Data System (ADS)

Sanders, M.

2017-12-01

LA SAFE, or Louisiana's Strategic Adaptations for Future Environments, is a strategic framework for community development utilizing future projections of coastal land loss and flood risk as a determining factor in regional growth management and local planning initiatives along a 10, 25, and 50 year timeline. LA SAFE utilizes the input of passionate local citizen leaders and organizations committed to enabling community members to take proactive steps towards mitigating risk and increasing resilience against coastal issues. The project aims to acknowledge that adaptation and restoration must go hand-in-hand with addressing community growth and contraction, as well as realizing Louisiana's most vulnerable coastal communities will need to contemplate resettlement over the next 50 years. The project's outlook is to become a global leader for adaptation and cultural design and restoration. Connecting a global interest with the project and offering extensive ways for people to learn about the issues and get involved will provide an immense amount of support necessary for future coastal environments around the world. This presentation will focus on the output of a year-long planning effort across a six-parish target area encompassing several vulnerable coastal Louisiana locales. The Resettlement of Isle de Jean Charles is a federally-funded and first-of-its kind initiative marking Louisiana's first attempt to relocate a vulnerable coastal community at-scale and as a group. Due to a myriad of environmental factors, the Island has experienced 98 percent land loss since 1955, leading to many of the Island's historical inhabitants to retreat to higher, drier landscapes. In moving the community at-scale, the project seeks to inject new life into the community and its residents in relocating the community to higher, safer ground, while also developing the new community in such a way that it maximizes economic development, job training, and educational opportunities and can be a locale that is not only a model for future resettlement projects, but also attracts new and former residents of the Isle de Jean Charles community. This presentation will recap planning work completed to date, as well as provide a highlight of how the project is developing as a scalable, replicable model.

Associations between the local food environment and the severity of food insecurity among new families using community food security interventions in Montreal.

PubMed

Pérez, Elsury; Roncarolo, Federico; Potvin, Louise

2017-04-20

To examine the association between the local food environment and the severity of food insecurity among new families using community food security interventions in Montreal. In this cross-sectional study, we analyzed baseline data from 785 adults aged 18-65 years enrolled in the evaluation of the effects of organizations delivering community food security interventions in Montreal. The dependent variable was household food insecurity, while the independent variable was the local food environment, assessed through: location of the most frequently used grocery store, distance between the participant's residence and the community organization used, mode of transportation, walking time to the most frequently used grocery store, satisfaction with the acceptability and affordability of food available at the most frequently used grocery store, and self-reported difficulties in accessing food. We used polytomous logistic regression to estimate the association between household food insecurity and the local food environment. In all the models, we coded food security status in three categories: food security, moderate food insecurity and severe food insecurity. The last group was used as a reference group. Our data suggest that compared to households with severe food insecurity, those with moderate food insecurity (OR = 0.43, 95% CI: 0.28-0.62) and those with food security (OR = 0.13, 95% CI: 0.06-0.26) were less likely to report difficulties in accessing food due to food affordability. Food-secure households also had lower odds of reporting difficulties in accessing food due to transportation constraints (OR = 0.18, 95% CI: 0.06-0.55) compared with severe food-insecure households. Living a distance of between 1 and 2 km from the organization used was significantly correlated with moderate food insecurity (OR = 1.80, 95% CI: 1.12-2.88). The local food environment is associated with severity of household food insecurity among new families using community food security interventions in Montreal. Future studies should study the relationship between the local food environment and food insecurity across all dimensions of food access.

Macrobenthic succession following the cessation of sewage sludge disposal

NASA Astrophysics Data System (ADS)

Birchenough, Silvana N. R.; Frid, Chris L. J.

2009-11-01

Half a million tonnes of sewage sludge was disposed annually over an 18-yr period at a licensed area off the Northumberland coast, UK. The disposal operation ceased in December 1998, providing the ecological opportunity to study macrobenthic changes in relation to theoretical succession models. A transect from the centre of the disposal site to a control station was monitored three times a year (i.e. March, August and December). This study provides a description of the changes in the macrobenthos and physical environment in the initial '3 years' (i.e. 1999 - 2001). During the period of sewage sludge disposal there were indications of an impact on the macrobenthic community with a high total abundance of individuals ( N) and high total number of species ( S) at the stations located in the centre of the disposal ground. During the immediate post-disposal phase the site continued to show a localised increased of individuals and species in the disposal area. Over time the communities showed signs of successional changes when the reduction of organic matter source was eliminated from the natural system. Multivariate analysis demonstrated a clear gradient of change in the community composition between impacted and control stations. While most benthic studies assess re-colonisation and succession stages of macrobenthos by using manipulative field experiments, this study provides an in situ long-term assessment in the offshore environment. This study contributes with information on: i) initial colonization and succession of macrobenthic communities over a large scale and real world data; ii) macrobenthic data into existing successional models and iii) resilience of benthic communities following the cessation of sewage sludge disposal. This information has the potential to contribute to an effective management of the marine communities in the North Sea.

The cryptoendolithic microbial environment in the Ross Desert of Antarctica: light in the photosynthetically active region

NASA Technical Reports Server (NTRS)

Nienow, J. A.; McKay, C. P.; Friedmann, E. I.

1988-01-01

The vertical zonation of the Antarctic cryptoendolithic community appears to form in response to the light regime in the habitat. However, because of the structure of the habitat, the light regime is difficult to study directly. Therefore, a mathematical model of the light regime was constructed, which was used to estimate the total photon flux in different zones of the community. Maximum fluxes range from about 150 micrometers photons m-2 s-1 at the upper boundary of the community to about 0.1 micrometer photons m-2 s-1. Estimates of the annual productivity in the community indicate that the lowest zone of the community is light limited, with the maximal annual carbon uptake equivalent to less than the carbon content of one algal (Hemichloris) cell.

Household Energy Consumption: Community Context and the Fuelwood Transition*

PubMed Central

Link, Cynthia F.; Axinn, William G.; Ghimire, Dirgha J.

2012-01-01

We examine the influence of community context on change over time in households’ use of non-wood fuels. Our theoretical framework builds on sociological concepts in order to study energy consumption at the micro-level. The framework emphasizes the importance of nonfamily organizations and services in the local community as determinants of the transition from use of fuelwood to use of alternative fuels. We use multilevel longitudinal data on household fuel choice and community context from rural Nepal to provide empirical tests of our theoretical model. Results reveal that increased exposure to nonfamily organizations in the local community increases the use of alternative fuels. The findings illustrate key features of human impacts on the local environment and motivate greater incorporation of social organization into research on environmental change. PMID:23017795

Exploring social structure effect on language evolution based on a computational model

NASA Astrophysics Data System (ADS)

Gong, Tao; Minett, James; Wang, William

2008-06-01

A compositionality-regularity coevolution model is adopted to explore the effect of social structure on language emergence and maintenance. Based on this model, we explore language evolution in three experiments, and discuss the role of a popular agent in language evolution, the relationship between mutual understanding and social hierarchy, and the effect of inter-community communications and that of simple linguistic features on convergence of communal languages in two communities. This work embodies several important interactions during social learning, and introduces a new approach that manipulates individuals' probabilities to participate in social interactions to study the effect of social structure. We hope it will stimulate further theoretical and empirical explorations on language evolution in a social environment.

Using a logic model to evaluate the Kids Together early education inclusion program for children with disabilities and additional needs.

PubMed

Clapham, Kathleen; Manning, Claire; Williams, Kathryn; O'Brien, Ginger; Sutherland, Margaret

2017-04-01

Despite clear evidence that learning and social opportunities for children with disabilities and special needs are more effective in inclusive not segregated settings, there are few known effective inclusion programs available to children with disabilities, their families or teachers in the early years within Australia. The Kids Together program was developed to support children with disabilities/additional needs aged 0-8 years attending mainstream early learning environments. Using a key worker transdisciplinary team model, the program aligns with the individualised package approach of the National Disability Insurance Scheme (NDIS). This paper reports on the use of a logic model to underpin the process, outcomes and impact evaluation of the Kids Together program. The research team worked across 15 Early Childhood Education and Care (ECEC) centres and in home and community settings. A realist evaluation using mixed methods was undertaken to understand what works, for whom and in what contexts. The development of a logic model provided a structured way to explore how the program was implemented and achieved short, medium and long term outcomes within a complex community setting. Kids Together was shown to be a highly effective and innovative model for supporting the inclusion of children with disabilities/additional needs in a range of environments central for early childhood learning and development. The use of a logic model provided a visual representation of the Kids Together model and its component parts and enabled a theory of change to be inferred, showing how a coordinated and collaborative approached can work across multiple environments. Copyright © 2016 Elsevier Ltd. All rights reserved.

School Gardens: Situating Students within a Global Context

ERIC Educational Resources Information Center

Wolsey, Thomas DeVere; Lapp, Diane

2014-01-01

School-based gardens are increasingly common. The benefits to students reflect principles of global education by modeling sustainability through responsible ecological planning and service to the community, the environment, and humanity. The authors propose a pedagogical framework for planning school gardens and related experiences that…

PREFACE: SPECIAL ISSUE OF ATMOSPHERIC ENVIRONMENT ON FINDINGS FROM EPA'S PARTICULATE MATTER SUPERSITES PROGRAM

EPA Science Inventory

The Supersites Program is a methods development and evaluation, measurements, modeling, and data analysis program designed to provide key stakeholders in the science, regulatory, and policy communities with information to support primarily implementation of National Ambient Air Q...

Balancing safety and harm for older adults with dementia in rural emergency departments: healthcare professionals' perspectives.

PubMed

Hunter, Kathleen F; Parke, Belinda; Babb, Maureen; Forbes, Dorothy; Strain, Laurel

2017-01-01

The emergency department (ED) is a potentially harmful environment for older adults with dementia, and rural EDs face unique challenges in providing care to this population. The purpose of this study was to understand safety and harm in rural ED transitional care for community dwelling older adults with dementia from the perspective of healthcare professionals (HCPs). An interpretive, descriptive exploratory design from a social ecological perspective was used. Using purposive and snowball sampling, HCPs were recruited from two rural hospital EDs in two Canadian provinces. Data collection involved participant interviews using a semi-structured interview guide. Audio-recorded interviews were transcribed, transcripts coded, and themes identified using constant comparative analysis with thematic coding. A total of 12 HCPs, seven from one province and five from the other, participated in the study. HCPs worked directly in the ED or consulted in the ED from hospital-based social work, rehabilitation and community liaison services. Three themes were identified: physical environment (space, design and equipment), work environment (pressure to perform) and practice environment (family, knowledge and processes). A conceptual model was developed to illustrate how HCPs worked to balance safety and harm for older patients with dementia within a milieu created by the overlapping and synergistically interacting environments. HCPs in rural EDs working at the interface of hospital and community constantly attempt to balance promoting safety and avoiding harm for older adults with dementia. Participants perceived safety broadly, understanding that the consequences of the milieu were created through an interaction between physical, work and practice environments. These consequences related to the physical, cognitive and emotional wellbeing of older adults with dementia and their caregivers. Within the practice environment, participants identified a 'rural advantage' that was tied to their knowledge of community and the people with dementia and their caregivers who sought care in the participating EDs. However, familiarity can be a double-edged sword and to minimize potential harm healthcare professionals must seek input from caregivers regarding altered functional status, and policies to change triage to include gerontological knowledge and create elder-friendly rural ED environments are needed.

Collaborative Supercomputing for Global Change Science

NASA Astrophysics Data System (ADS)

Nemani, R.; Votava, P.; Michaelis, A.; Melton, F.; Milesi, C.

2011-03-01

There is increasing pressure on the science community not only to understand how recent and projected changes in climate will affect Earth's global environment and the natural resources on which society depends but also to design solutions to mitigate or cope with the likely impacts. Responding to this multidimensional challenge requires new tools and research frameworks that assist scientists in collaborating to rapidly investigate complex interdisciplinary science questions of critical societal importance. One such collaborative research framework, within the NASA Earth sciences program, is the NASA Earth Exchange (NEX). NEX combines state-of-the-art supercomputing, Earth system modeling, remote sensing data from NASA and other agencies, and a scientific social networking platform to deliver a complete work environment. In this platform, users can explore and analyze large Earth science data sets, run modeling codes, collaborate on new or existing projects, and share results within or among communities (see Figure S1 in the online supplement to this Eos issue (http://www.agu.org/eos_elec)).

A socio-ecological model for unintentional injuries in minorities: a case study of Arab Israeli children.

PubMed

Baron-Epel, Orna; Ivancovsky, Michal

2015-01-01

Minority children have often been reported to be at high risk of injury. The higher levels of reported unintentional injuries among Arab children compared to Jewish children in Israel are mainly due to pedestrian traffic crashes, falls and burns. Arab children aged 1-4 years have a higher relative risk of injury compared to Jews. We suggest a socio-ecological model to explain these differences in risk based on individual, interpersonal, community and societal ecological levels of society. Each level is divided into social and physical environments and behaviour. Two main factors may contribute to the high rates of injury among Arab children: the quality of the physical environment in which the children live and play and the levels of child supervision. Socio-economic status may contribute to these differences at all ecological levels of society. This approach could be useful for researchers and practitioners to analyse similar issues in other communities and help develop appropriate interventions.

Predicting ecological roles in the rhizosphere using metabolome and transportome modeling

DOE PAGES

Larsen, Peter E.; Collart, Frank R.; Dai, Yang; ...

2015-09-02

The ability to obtain complete genome sequences from bacteria in environmental samples, such as soil samples from the rhizosphere, has highlighted the microbial diversity and complexity of environmental communities. New algorithms to analyze genome sequence information in the context of community structure are needed to enhance our understanding of the specific ecological roles of these organisms in soil environments. We present a machine learning approach using sequenced Pseudomonad genomes coupled with outputs of metabolic and transportomic computational models for identifying the most predictive molecular mechanisms indicative of a Pseudomonad’s ecological role in the rhizosphere: a biofilm, biocontrol agent, promoter ofmore » plant growth, or plant pathogen. Computational predictions of ecological niche were highly accurate overall with models trained on transportomic model output being the most accurate (Leave One Out Validation F-scores between 0.82 and 0.89). The strongest predictive molecular mechanism features for rhizosphere ecological niche overlap with many previously reported analyses of Pseudomonad interactions in the rhizosphere, suggesting that this approach successfully informs a system-scale level understanding of how Pseudomonads sense and interact with their environments. The observation that an organism’s transportome is highly predictive of its ecological niche is a novel discovery and may have implications in our understanding microbial ecology. The framework developed here can be generalized to the analysis of any bacteria across a wide range of environments and ecological niches making this approach a powerful tool for providing insights into functional predictions from bacterial genomic data.« less

Predicting Ecological Roles in the Rhizosphere Using Metabolome and Transportome Modeling

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

Larsen, Peter E.; Collart, Frank R.; Dai, Yang

2015-09-02

The ability to obtain complete genome sequences from bacteria in environmental samples, such as soil samples from the rhizosphere, has highlighted the microbial diversity and complexity of environmental communities. However, new algorithms to analyze genome sequence information in the context of community structure are needed to enhance our understanding of the specific ecological roles of these organisms in soil environments. We present a machine learning approach using sequenced Pseudomonad genomes coupled with outputs of metabolic and transportomic computational models for identifying the most predictive molecular mechanisms indicative of a Pseudomonad's ecological role in the rhizosphere: a biofilm, biocontrol agent, promotermore » of plant growth, or plant pathogen. Computational predictions of ecological niche were highly accurate overall with models trained on transportomic model output being the most accurate (Leave One Out Validation F-scores between 0.82 and 0.89). The strongest predictive molecular mechanism features for rhizosphere ecological niche overlap with many previously reported analyses of Pseudomonad interactions in the rhizosphere, suggesting that this approach successfully informs a system-scale level understanding of how Pseudomonads sense and interact with their environments. The observation that an organism's transportome is highly predictive of its ecological niche is a novel discovery and may have implications in our understanding microbial ecology. The framework developed here can be generalized to the analysis of any bacteria across a wide range of environments and ecological niches making this approach a powerful tool for providing insights into functional predictions from bacterial genomic data.« less

A spacecraft's own ambient environment: The role of simulation-based research

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

Ketsdever, Andrew D.; Gimelshein, Sergey

2014-12-09

Spacecraft contamination has long been a subject of study in the rarefied gas dynamics community. Professor Mikhail Ivanov coined the term a spacecraft's 'own ambient environment' to describe the effects of natural and satellite driven processes on the conditions encountered by a spacecraft in orbit. Outgassing, thruster firings, and gas and liquid dumps all contribute to the spacecraft's contamination environment. Rarefied gas dynamic modeling techniques, such as Direct Simulation Monte Carlo, are well suited to investigate these spacebased environments. However, many advances were necessary to fully characterize the extent of this problem. A better understanding of modeling flows over largemore » pressure ranges, for example hybrid continuum and rarefied numerical schemes, were required. Two-phase flow modeling under rarefied conditions was necessary. And the ability to model plasma flows for a new era of propulsion systems was also required. Through the work of Professor Ivanov and his team, we now have a better understanding of processes that create a spacecraft's own ambient environment and are able to better characterize these environments. Advances in numerical simulation have also spurred on the development of experimental facilities to study these effects. The relationship between numerical results and experimental advances will be explored in this manuscript.« less

Distinguishing community benefits: tax exemption versus organizational legitimacy.

PubMed

Byrd, James D; Landry, Amy

2012-01-01

US policymakers continue to call into question the tax-exempt status of hospitals. As nonprofit tax-exempt entities, hospitals are required by the Internal Revenue Service (IRS) to report the type and cost of community benefits they provide. Institutional theory indicates that organizations derive organizational legitimacy from conforming to the expectations of their environment. Expectations from the state and federal regulators (the IRS, state and local taxing authorities in particular) and the community require hospitals to provide community benefits to achieve legitimacy. This article examines community benefit through an institutional theory framework, which includes regulative (laws and regulation), normative (certification and accreditation), and cultural-cognitive (relationship with the community including the provision of community benefits) pillars. Considering a review of the results of a 2006 IRS study of tax-exempt hospitals, the authors propose a model of hospital community benefit behaviors that distinguishes community benefits between cost-quantifiable activities appropriate for justifying tax exemption and unquantifiable activities that only contribute to hospitals' legitimacy.

The Decomposition of Shared Environmental Influences on Externalizing Syndromes in the Swedish Population: A Multivariate Study.

PubMed

Ohlsson, Henrik; Kendler, Kenneth S; Lichtenstein, Paul; Sundquist, Jan; Sundquist, Kristina

2017-08-01

Using information from Swedish population registries, we attempt to decompose the shared environment (C) into four subcomponents: close family, family, household, and community. Among pairs differing in their genetic and geographical/household relationships, we examine three externalizing syndromes: drug abuse (DA), criminal behavior (CB), and alcohol use disorders (AUD). The best-fitting common pathway model suggested that total estimates for C were higher for DA (21% for males and 18% for females) than for AUD (16% and 14%) and CB (17% and 10%). Concerning syndrome-specific influences in males, close family effects were stronger for CB and AUD, while community effects were stronger for DA. The two C components in between community experiences and close family experiences (family and household) were estimated to almost entirely derive from the common latent factor. In females, among the four components of C, the community experiences were just slightly above zero, while the C components referred to as the household effect were almost zero. The total close family experiences were similar and most important across syndromes were also divided into common and specific components. For all syndromes, for both males and females, the effects of additive genetic factors were 2-4 times the size of the total effect of the shared environment. Applying standard methods to novel relationships, we expand our understanding of how the shared environment contributes to individual differences in three externalizing syndromes.

Resilience and receptivity worked in tandem to sustain a geothermal mat community amidst erratic environmental conditions

PubMed Central

Ghosh, Wriddhiman; Roy, Chayan; Roy, Rimi; Nilawe, Pravin; Mukherjee, Ambarish; Haldar, Prabir Kumar; Chauhan, Neeraj Kumar; Bhattacharya, Sabyasachi; Agarwal, Atima; George, Ashish; Pyne, Prosenjit; Mandal, Subhrangshu; Rameez, Moidu Jameela; Bala, Goutam

2015-01-01

To elucidate how geothermal irregularities affect the sustainability of high-temperature microbiomes we studied the synecological dynamics of a geothermal microbial mat community (GMMC) vis-à-vis fluctuations in its environment. Spatiotemporally-discrete editions of a photosynthetic GMMC colonizing the travertine mound of a circum-neutral hot spring cluster served as the model-system. In 2010 a strong geyser atop the mound discharged mineral-rich hot water, which nourished a GMMC continuum from the proximal channels (PC) upto the slope environment (SE) along the mound’s western face. In 2011 that geyser extinguished and consequently the erstwhile mats disappeared. Nevertheless, two relatively-weaker vents erupted in the southern slope and their mineral-poor outflow supported a small GMMC patch in the SE. Comparative metagenomics showed that this mat was a relic of the 2010 community, conserved via population dispersal from erstwhile PC as well as SE niches. Subsequently in 2012, as hydrothermal activity augmented in the southern slope, ecological niches widened and the physiologically-heterogeneous components of the 2011 “seed-community” split into PC and SE meta-communities, thereby reclaiming either end of the thermal gradient. Resilience of incumbent populations, and the community’s receptiveness towards immigrants, were the key qualities that ensured the GMMC’s sustenance amidst habitat degradation and dispersal to discrete environments. PMID:26184838

Microbial Diversity in Engineered Haloalkaline Environments Shaped by Shared Geochemical Drivers Observed in Natural Analogues

PubMed Central

Warren, Lesley A.; Kendra, Kathryn E.

2015-01-01

Microbial communities in engineered terrestrial haloalkaline environments have been poorly characterized relative to their natural counterparts and are geologically recent in formation, offering opportunities to explore microbial diversity and assembly in dynamic, geochemically comparable contexts. In this study, the microbial community structure and geochemical characteristics of three geographically dispersed bauxite residue environments along a remediation gradient were assessed and subsequently compared with other engineered and natural haloalkaline systems. In bauxite residues, bacterial communities were similar at the phylum level (dominated by Proteobacteria and Firmicutes) to those found in soda lakes, oil sands tailings, and nuclear wastes; however, they differed at lower taxonomic levels, with only 23% of operational taxonomic units (OTUs) shared with other haloalkaline environments. Although being less diverse than natural analogues, bauxite residue harbored substantial novel bacterial taxa, with 90% of OTUs nonmatchable to cultured representative sequences. Fungal communities were dominated by Ascomycota and Basidiomycota, consistent with previous studies of hypersaline environments, and also harbored substantial novel (73% of OTUs) taxa. In bauxite residues, community structure was clearly linked to geochemical and physical environmental parameters, with 84% of variation in bacterial and 73% of variation in fungal community structures explained by environmental parameters. The major driver of bacterial community structure (salinity) was consistent across natural and engineered environments; however, drivers differed for fungal community structure between natural (pH) and engineered (total alkalinity) environments. This study demonstrates that both engineered and natural terrestrial haloalkaline environments host substantial repositories of microbial diversity, which are strongly shaped by geochemical drivers. PMID:25979895

Leaf Trait-Environment Relationships in a Subtropical Broadleaved Forest in South-East China

PubMed Central

Kröber, Wenzel; Böhnke, Martin; Welk, Erik; Wirth, Christian; Bruelheide, Helge

2012-01-01

Although trait analyses have become more important in community ecology, trait-environment correlations have rarely been studied along successional gradients. We asked which environmental variables had the strongest impact on intraspecific and interspecific trait variation in the community and which traits were most responsive to the environment. We established a series of plots in a secondary forest in the Chinese subtropics, stratified by successional stages that were defined by the time elapsed since the last logging activities. On a total of 27 plots all woody plants were recorded and a set of individuals of every species was analysed for leaf traits, resulting in a trait matrix of 26 leaf traits for 122 species. A Fourth Corner Analysis revealed that the mean values of many leaf traits were tightly related to the successional gradient. Most shifts in traits followed the leaf economics spectrum with decreasing specific leaf area and leaf nutrient contents with successional time. Beside succession, few additional environmental variables resulted in significant trait relationships, such as soil moisture and soil C and N content as well as topographical variables. Not all traits were related to the leaf economics spectrum, and thus, to the successional gradient, such as stomata size and density. By comparing different permutation models in the Fourth Corner Analysis, we found that the trait-environment link was based more on the association of species with the environment than of the communities with species traits. The strong species-environment association was brought about by a clear gradient in species composition along the succession series, while communities were not well differentiated in mean trait composition. In contrast, intraspecific trait variation did not show close environmental relationships. The study confirmed the role of environmental trait filtering in subtropical forests, with traits associated with the leaf economics spectrum being the most responsive ones. PMID:22539999

Leaf trait-environment relationships in a subtropical broadleaved forest in South-East China.

PubMed

Kröber, Wenzel; Böhnke, Martin; Welk, Erik; Wirth, Christian; Bruelheide, Helge

2012-01-01

Although trait analyses have become more important in community ecology, trait-environment correlations have rarely been studied along successional gradients. We asked which environmental variables had the strongest impact on intraspecific and interspecific trait variation in the community and which traits were most responsive to the environment. We established a series of plots in a secondary forest in the Chinese subtropics, stratified by successional stages that were defined by the time elapsed since the last logging activities. On a total of 27 plots all woody plants were recorded and a set of individuals of every species was analysed for leaf traits, resulting in a trait matrix of 26 leaf traits for 122 species. A Fourth Corner Analysis revealed that the mean values of many leaf traits were tightly related to the successional gradient. Most shifts in traits followed the leaf economics spectrum with decreasing specific leaf area and leaf nutrient contents with successional time. Beside succession, few additional environmental variables resulted in significant trait relationships, such as soil moisture and soil C and N content as well as topographical variables. Not all traits were related to the leaf economics spectrum, and thus, to the successional gradient, such as stomata size and density. By comparing different permutation models in the Fourth Corner Analysis, we found that the trait-environment link was based more on the association of species with the environment than of the communities with species traits. The strong species-environment association was brought about by a clear gradient in species composition along the succession series, while communities were not well differentiated in mean trait composition. In contrast, intraspecific trait variation did not show close environmental relationships. The study confirmed the role of environmental trait filtering in subtropical forests, with traits associated with the leaf economics spectrum being the most responsive ones.

Classroom Community Scale in the Blended Learning Environment: A Psychometric Review

ERIC Educational Resources Information Center

Barnard-Brak, Lucy; Shiu, William

2010-01-01

The Classroom Community Scale (CCS) has been utilized in previous research to measure sense of community of learners including those learners in blended learning environments. In the current study, the CCS was examined with respect to its psychometric properties in the blended learning environment. Reliability analyses indicate an acceptable level…

Environmental Microbial Community Proteomics: Status, Challenges and Perspectives.

PubMed

Wang, Da-Zhi; Kong, Ling-Fen; Li, Yuan-Yuan; Xie, Zhang-Xian

2016-08-05

Microbial community proteomics, also termed metaproteomics, is an emerging field within the area of microbiology, which studies the entire protein complement recovered directly from a complex environmental microbial community at a given point in time. Although it is still in its infancy, microbial community proteomics has shown its powerful potential in exploring microbial diversity, metabolic potential, ecological function and microbe-environment interactions. In this paper, we review recent advances achieved in microbial community proteomics conducted in diverse environments, such as marine and freshwater, sediment and soil, activated sludge, acid mine drainage biofilms and symbiotic communities. The challenges facing microbial community proteomics are also discussed, and we believe that microbial community proteomics will greatly enhance our understanding of the microbial world and its interactions with the environment.

A theoretical quantitative genetic study of negative ecological interactions and extinction times in changing environments.

PubMed

Jones, Adam G

2008-04-25

Rapid human-induced changes in the environment at local, regional and global scales appear to be contributing to population declines and extinctions, resulting in an unprecedented biodiversity crisis. Although in the short term populations can respond ecologically to environmental alterations, in the face of persistent change populations must evolve or become extinct. Existing models of evolution and extinction in changing environments focus only on single species, even though the dynamics of extinction almost certainly depend upon the nature of species interactions. Here, I use a model of quantitative trait evolution in a two-species community to show that negative ecological interactions, such as predation and competition, can produce unexpected results regarding time to extinction. Under some circumstances, negative interactions can be expected to hasten the extinction of species declining in numbers. However, under other circumstances, negative interactions can actually increase times to extinction. This effect occurs across a wide range of parameter values and can be substantial, in some cases allowing a population to persist for 40 percent longer than it would in the absence of the species interaction. This theoretical study indicates that negative species interactions can have unexpected positive effects on times to extinction. Consequently, detailed studies of selection and demographics will be necessary to predict the consequences of species interactions in changing environments for any particular ecological community.

Quality of life of older adults in Canada and Norway: examining the Iowa model.

PubMed

Low, Gail; Molzahn, Anita E; Kalfoss, Mary

2008-06-01

In this study, Glick and Tripp-Reimer's (1996) Iowa model for gerontological nursing serves as a guiding framework for a descriptive exploratory study of quality of life (QOL) of older adults. Using secondary data, the authors explored whether the effects of health appraisal, morbidities, social support transitions (SST), and the environment on QOL would be partly mediated by cognitive developmental transitions (CDT). Data sets were available from studies with random samples of community-dwelling older adults from Canada (n = 202) and Norway (n = 490). The partly and fully mediated effects found suggest positive CDT in older age might be significantly enhanced by the presence of intimate ties, positive perceptions of one's health limitations, and residence in a healthy, safe, and resource-rich physical environment. These findings represent a novel attempt at testing complex linkages between aspects of elder, environment, and nursing concepts within the Iowa model warranting further research.

Sarcoptes scabiei infestation does not alter the stability of ectoparasite communities.

PubMed

Carvalho, João; Serrano, Emmanuel; Pettorelli, Nathalie; Granados, José E; Habela, Miguel A; Olmeda, Sonia; Fonseca, Carlos; Pérez, Jesús M

2016-07-01

The host represents a heterogeneous ecosystem where multiple parasite species co-occur and interact with each other for space and resources. Although these interactions may rule the features of an infracommunity and may shape the infracommunity response to external perturbations, the resilience of ectoparasite communities to new infestations remains poorly explored. We analysed the composition of the ectoparasite communities found on 214 individual Iberian ibexes (Capra pyrenaica) inhabiting the Sierra Nevada Natural Space, southern Spain. Using classification and regression trees, we explored how the presence of Sarcoptes scabiei (a highly contagious mite), the off-host environment and the host sex govern the prevalence and abundance of lice and ticks. Null model analysis was applied to assess the impact of S. scabiei on the structure of the ectoparasite communities. Our results suggest that S. scabiei infestation acts in tandem with off-host environment and host sex to define the prevalence and abundance of lice and ticks. We also provided evidence for differences in species co-occurrence only at the early stages of S. scabiei infestation. Regarding species diversity, we recorded that ectoparasite communities in scabietic ibexes reached a high richness faster than those in healthy individuals. Even though we show that ectoparasite burden is correlated with S. scabiei infestation, off-host environment and host sex, the species response to S. scabiei infestation and climate seem to be highly variable and influenced by ectoparasite life-history traits. Ectoparasite communities also appear resilient to perturbations which is in agreement with what was previously reported for endoparasites. Future refinement of sample collection and the incorporation of ecological and epidemiological-related variables may allow us to establish causal effects and deepen the knowledge about the mechanisms and consequences of ectoparasite interactions.

Lifewide Learning for Early Reading Development.

PubMed

Dowd, Amy Jo; Friedlander, Elliott; Jonason, Christine; Leer, Jane; Sorensen, Lisa Zook; Guajardo, Jarrett; D'Sa, Nikhit; Pava, Clara; Pisani, Lauren

2017-03-01

The authors examine the relationships between children's reading abilities and the enabling environment for learning in the context of Save the Children's Literacy Boost program. They conceptualize the enabling environment at a micro level, with two components: the home literacy environment, represented by reading materials/habits at home, and the community learning environment (community reading activities). Using longitudinal reading scores of 6,874 students in 424 schools in 12 sites across Africa and Asia, there was 1) a modest but consistent relationship between students' home literacy environments and reading scores, and 2) a strong relationship between reading gains and participation in community reading activities, suggesting that interventions should consider both home and community learning environments and their differential influences on interventions across different low-resource settings. © 2017 Wiley Periodicals, Inc.

Development of a High Resolution Weather Forecast Model for Mesoamerica Using the NASA Ames Code I Private Cloud Computing Environment

NASA Technical Reports Server (NTRS)

Molthan, Andrew; Case, Jonathan; Venner, Jason; Moreno-Madrinan, Max J.; Delgado, Francisco

2012-01-01

Two projects at NASA Marshall Space Flight Center have collaborated to develop a high resolution weather forecast model for Mesoamerica: The NASA Short-term Prediction Research and Transition (SPoRT) Center, which integrates unique NASA satellite and weather forecast modeling capabilities into the operational weather forecasting community. NASA's SERVIR Program, which integrates satellite observations, ground-based data, and forecast models to improve disaster response in Central America, the Caribbean, Africa, and the Himalayas.

Exploring the Lack of Interoperability of Databases within Department of Homeland Security Interagency Environment Concerning Maritime Port Security

DTIC Science & Technology

2009-03-01

37 Figure 8 New Information Sharing Model from United States Intelligence Community Information Sharing...PRIDE while the Coast Guard has MISSLE and the newly constructed WATCHKEEPER. All these databases contain intelligence on incoming vessels...decisions making. Experts rely heavily on future projections as hallmarks of skilled performance." (Endsley et al. 2006) The SA model above

Predicting homeowners' approval of fuel management at the wild-urban interface using the theory of reasoned action.

Treesearch

Christine A. Vogt; Greg Winter; Jeremy S. Fried

2005-01-01

Social science models are increasingly needed as a framework for explaining and predicting how members of the public respond to the natural environment and their communities. The theory of reasoned action is widely used in human dimensions research on natural resource problems and work is ongoing to increase the predictive power of models based on this theory. This...

The YNP Metagenome Project: Environmental Parameters Responsible for Microbial Distribution in the Yellowstone Geothermal Ecosystem

PubMed Central

Inskeep, William P.; Jay, Zackary J.; Tringe, Susannah G.; Herrgård, Markus J.; Rusch, Douglas B.

2013-01-01

The Yellowstone geothermal complex contains over 10,000 diverse geothermal features that host numerous phylogenetically deeply rooted and poorly understood archaea, bacteria, and viruses. Microbial communities in high-temperature environments are generally less diverse than soil, marine, sediment, or lake habitats and therefore offer a tremendous opportunity for studying the structure and function of different model microbial communities using environmental metagenomics. One of the broader goals of this study was to establish linkages among microbial distribution, metabolic potential, and environmental variables. Twenty geochemically distinct geothermal ecosystems representing a broad spectrum of Yellowstone hot-spring environments were used for metagenomic and geochemical analysis and included approximately equal numbers of: (1) phototrophic mats, (2) “filamentous streamer” communities, and (3) archaeal-dominated sediments. The metagenomes were analyzed using a suite of complementary and integrative bioinformatic tools, including phylogenetic and functional analysis of both individual sequence reads and assemblies of predominant phylotypes. This volume identifies major environmental determinants of a large number of thermophilic microbial lineages, many of which have not been fully described in the literature nor previously cultivated to enable functional and genomic analyses. Moreover, protein family abundance comparisons and in-depth analyses of specific genes and metabolic pathways relevant to these hot-spring environments reveal hallmark signatures of metabolic capabilities that parallel the distribution of phylotypes across specific types of geochemical environments. PMID:23653623

Dynamic modeling of environmental risk associated with drilling discharges to marine sediments.

PubMed

Durgut, İsmail; Rye, Henrik; Reed, Mark; Smit, Mathijs G D; Ditlevsen, May Kristin

2015-10-15

Drilling discharges are complex mixtures of base-fluids, chemicals and particulates, and may, after discharge to the marine environment, result in adverse effects on benthic communities. A numerical model was developed to estimate the fate of drilling discharges in the marine environment, and associated environmental risks. Environmental risk from deposited drilling waste in marine sediments is generally caused by four types of stressors: oxygen depletion, toxicity, burial and change of grain size. In order to properly model these stressors, natural burial, biodegradation and bioturbation processes were also included. Diagenetic equations provide the basis for quantifying environmental risk. These equations are solved numerically by an implicit-central differencing scheme. The sediment model described here is, together with a fate and risk model focusing on the water column, implemented in the DREAM and OSCAR models, both available within the Marine Environmental Modeling Workbench (MEMW) at SINTEF in Trondheim, Norway. Copyright © 2015 Elsevier Ltd. All rights reserved.

Supporting the Whole Child through Coordinated Policies, Processes, and Practices

ERIC Educational Resources Information Center

Murray, Sharon D.; Hurley, James; Ahmed, Shannon R.

2015-01-01

Background: The Whole School, Whole Community, Whole Child (WSCC) model provides a framework for promoting greater alignment, integration, and collaboration between health and education across the school setting and improving students' cognitive, physical, social, and emotional development. By providing a learning environment that ensures each…

A Modeling Framework for Improved Characterization of Near-Road Exposure at Fine Scales

EPA Science Inventory

Traffic-related air pollutants could cause adverse health impact to communities near roadways. To estimate the population risk and locate "hotspots" in the near-road environment, quantifying the exposure at a fine spatial resolution is essential. A new state-of-the-art ...

Rethink, Retool, Renew: A Transitional Model for Institutions.

ERIC Educational Resources Information Center

Berry, Kathryn; And Others

In 1980, the environment of Eastfield College was characterized by declining enrollments, reduced funding, staff unrest, and low morale. In response to a collegewide need, Eastfield's Quality of Life project, originally designed to increase community participation, was transformed to focus on participatory organizational renewal. The renewal…

76 FR 52575 - Health Care for Homeless Veterans Program

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-23

... environment must be conducive to social interaction, supportive of recovery models and the fullest development... that have multiple uses under one roof, providing shelters, social and health services * * *, and... community as healthy, productive citizens. We also note that VA social workers and caseworkers work closely...

Community Shared Solar: Policy and Regulatory Considerations (Brochure)

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

Not Available

2014-09-01

This brochure explores the ways in which the shared solar business model interacts with existing policy and regulations, including net metering, tax credits, and securities regulation. It presents some of the barriers that shared solar projects may face, and provides options for creating a supportive policy environment.

Creating neighbourhood groupings based on built environment features to facilitate health promotion activities.

PubMed

Schopflocher, Donald; VanSpronsen, Eric; Spence, John C; Vallianatos, Helen; Raine, Kim D; Plotnikoff, Ronald C; Nykiforuk, Candace I J

2012-07-26

Detailed assessments of the built environment often resist data reduction and summarization. This project sought to develop a method of reducing built environment data to an extent that they can be effectively communicated to researchers and community stakeholders. We aim to help in an understanding of how these data can be used to create neighbourhood groupings based on built environment characteristics and how the process of discussing these neighbourhoods with community stakeholders can result in the development of community-informed health promotion interventions. We used the Irvine Minnesota Inventory (IMI) to assess 296 segments of a semi-rural community in Alberta. Expert raters "created" neighbourhoods by examining the data. Then, a consensus grouping was developed using cluster analysis, and the number of IMI variables to characterize the neighbourhoods was reduced by multiple discriminant function analysis. The 296 segments were reduced to a consensus set of 10 neighbourhoods, which could be separated from each other by 9 functions constructed from 24 IMI variables. Biplots of these functions were an effective means of summarizing and presenting the results of the community assessment, and stimulated community action. It is possible to use principled quantitative methods to reduce large amounts of information about the built environment into meaningful summaries. These summaries, or built environment neighbourhoods, were useful in catalyzing action with community stakeholders and led to the development of health-promoting built environment interventions.

A Simulated Learning Environment for Teaching Medicine Dispensing Skills

PubMed Central

Styles, Kim; Sewell, Keith; Trinder, Peta; Marriott, Jennifer; Maher, Sheryl; Naidu, Som

2016-01-01

Objective. To develop an authentic simulation of the professional practice dispensary context for students to develop their dispensing skills in a risk-free environment. Design. A development team used an Agile software development method to create MyDispense, a web-based simulation. Modeled on virtual learning environments elements, the software employed widely available standards-based technologies to create a virtual community pharmacy environment. Assessment. First-year pharmacy students who used the software in their tutorials, were, at the end of the second semester, surveyed on their prior dispensing experience and their perceptions of MyDispense as a tool to learn dispensing skills. Conclusion. The dispensary simulation is an effective tool for helping students develop dispensing competency and knowledge in a safe environment. PMID:26941437

Lags in the response of mountain plant communities to climate change

PubMed Central

Alexander, Jake M.; Chalmandrier, Loïc; Lenoir, Jonathan; Burgess, Treena I.; Essl, Franz; Haider, Sylvia; Kueffer, Christoph; McDougall, Keith; Milbau, Ann; Nuñez, Martin A.; Pauchard, Aníbal; Rabitsch, Wolfgang; Rew, Lisa J.; Sanders, Nathan J.; Pellissier, Loïc

2018-01-01

Rapid climatic changes and increasing human influence at high elevations around the world will have profound impacts on mountain biodiversity. However, forecasts from statistical models (e.g. species distribution models) rarely consider that plant community changes could substantially lag behind climatic changes, hindering our ability to make temporally realistic projections for the coming century. Indeed, the magnitudes of lags, and the relative importance of the different factors giving rise to them, remain poorly understood. We review evidence for three types of lag: “dispersal lags” affecting plant species’ spread along elevational gradients, “establishment lags” following their arrival in recipient communities, and “extinction lags” of resident species. Variation in lags is explained by variation among species in physiological and demographic responses, by effects of altered biotic interactions, and by aspects of the physical environment. Of these, altered biotic interactions could contribute substantially to establishment and extinction lags, yet impacts of biotic interactions on range dynamics are poorly understood. We develop a mechanistic community model to illustrate how species turnover in future communities might lag behind simple expectations based on species’ range shifts with unlimited dispersal. The model shows a combined contribution of altered biotic interactions and dispersal lags to plant community turnover along an elevational gradient following climate warming. Our review and simulation support the view that accounting for disequilibrium range dynamics will be essential for realistic forecasts of patterns of biodiversity under climate change, with implications for the conservation of mountain species and the ecosystem functions they provide. PMID:29112781

New model of succession of Middle and Late Pennsylvanian fossil communities in north Texas, Mid-Continent, and Appalachians with implications on black shale controversy

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

Boardman, D.R. II; Yancey, T.E.; Mapes, R.H.

1983-03-01

A new model for the succession of Pennsylvanian fossil communities, preserved in cyclothems, is proposed on the basis of more than 200 fossil localities in the Mid-Continent, Appalachians, and north Texas. Early models for Mid-Continent cyclothems placed the black shales in shallow water, with maximum transgression at the fusulinid-bearing zone in the overlying limestone. The most recent model proposed that the black phosphatic shales, which commonly occur between two subtidal carbonates, are widespread and laterally continuous over great distances and represent maximum transgression. The black phosphatic shales contain: ammonoids; inarticulate brachiopods; radiolarians; conularids; shark material and abundant and diverse conodonts.more » The black shales grade vertically and laterally into dark gray-black shales which contain many of the same pelagic and epipelagic forms found in the phosphatic black shales. This facies contains the deepest water benthic community. Most of these forms are immature, pyritized, and generally are preserved as molds. The dark gray-black facies grades into a medium gray shale facies which contains a mature molluscan fauna. The medium gray shale grades into a lighter gray facies, which is dominated by brachiopods, crinoids, and corals, with occasional bivalves and gastropods. (These facies are interpreted as being a moderate to shallow depth shelf community). The brachiopid-crinoid community is succeeded by shallow water communities which may have occupied shoreline, lagoonal, bay, interdeltaic, or shallow prodeltaic environments.« less

Determining the potential productivity of food crops in controlled environments

NASA Technical Reports Server (NTRS)

Bugbee, Bruce

1992-01-01

The quest to determine the maximum potential productivity of food crops is greatly benefitted by crop growth models. Many models have been developed to analyze and predict crop growth in the field, but it is difficult to predict biological responses to stress conditions. Crop growth models for the optimal environments of a Controlled Environment Life Support System (CELSS) can be highly predictive. This paper discusses the application of a crop growth model to CELSS; the model is used to evaluate factors limiting growth. The model separately evaluates the following four physiological processes: absorption of PPF by photosynthetic tissue, carbon fixation (photosynthesis), carbon use (respiration), and carbon partitioning (harvest index). These constituent processes determine potentially achievable productivity. An analysis of each process suggests that low harvest index is the factor most limiting to yield. PPF absorption by plant canopies and respiration efficiency are also of major importance. Research concerning productivity in a CELSS should emphasize: (1) the development of gas exchange techniques to continuously monitor plant growth rates and (2) environmental techniques to reduce plant height in communities.

Building research capacity and productivity among advanced practice nurses: an evaluation of the Community of Practice model.

PubMed

Gullick, Janice G; West, Sandra H

2016-03-01

The aim of this study was to evaluate Wenger's Community of Practice as a framework for building research capacity and productivity. While research productivity is an expected domain in influential models of advanced nursing practice, internationally it remains largely unmet. Establishment of nursing research capacity precedes productivity and consequently, there is a strong imperative to identify successful capacity-building models for nursing-focussed research in busy clinical environments. Prospective, longitudinal, qualitative descriptive design was used in this study. Bruyn's participant observation framed evaluation of a Community of Practice comprising 25 advanced practice nurses. Data from focus groups, education evaluations, blog/email transcripts and field observations, collected between 2007 and 2014, were analysed using a qualitative descriptive method. The Community of Practice model invited differing levels of participation, allowed for evolution of the research community and created a rhythm of research-related interactions and enduring research relationships. Participants described the value of research for their patients and families and the significance of the developing research culture in providing richness to their practice and visibility of their work to multidisciplinary colleagues. Extensive examples of research dissemination and enrolment in doctoral programmes further confirmed this value. A Community of Practice framework is a powerful model enabling research capacity and productivity evidenced by publication. In developing a solid foundation for a nursing research culture, it should be recognized that research skills, confidence and growth develop over an extended period of time and success depends on skilled coordination and leadership. © 2015 John Wiley & Sons Ltd.

Specification of the Surface Charging Environment with SHIELDS

NASA Astrophysics Data System (ADS)

Jordanova, V.; Delzanno, G. L.; Henderson, M. G.; Godinez, H. C.; Jeffery, C. A.; Lawrence, E. C.; Meierbachtol, C.; Moulton, J. D.; Vernon, L.; Woodroffe, J. R.; Brito, T.; Toth, G.; Welling, D. T.; Yu, Y.; Albert, J.; Birn, J.; Borovsky, J.; Denton, M.; Horne, R. B.; Lemon, C.; Markidis, S.; Thomsen, M. F.; Young, S. L.

2016-12-01

Predicting variations in the near-Earth space environment that can lead to spacecraft damage and failure, i.e. "space weather", remains a big space physics challenge. A recently funded project through the Los Alamos National Laboratory (LANL) Directed Research and Development (LDRD) program aims at developing a new capability to understand, model, and predict Space Hazards Induced near Earth by Large Dynamic Storms, the SHIELDS framework. The project goals are to understand the dynamics of the surface charging environment (SCE), the hot (keV) electrons representing the source and seed populations for the radiation belts, on both macro- and microscale. Important physics questions related to rapid particle injection and acceleration associated with magnetospheric storms and substorms as well as plasma waves are investigated. These challenging problems are addressed using a team of world-class experts in the fields of space science and computational plasma physics, and state-of-the-art models and computational facilities. In addition to physics-based models (like RAM-SCB, BATS-R-US, and iPIC3D), new data assimilation techniques employing data from LANL instruments on the Van Allen Probes and geosynchronous satellites are developed. Simulations with the SHIELDS framework of the near-Earth space environment where operational satellites reside are presented. Further model development and the organization of a "Spacecraft Charging Environment Challenge" by the SHIELDS project at LANL in collaboration with the NSF Geospace Environment Modeling (GEM) Workshop and the multi-agency Community Coordinated Modeling Center (CCMC) to assess the accuracy of SCE predictions are discussed.

Modeling trophic dependencies and exchanges among insects' bacterial symbionts in a host-simulated environment.

PubMed

Opatovsky, Itai; Santos-Garcia, Diego; Ruan, Zhepu; Lahav, Tamar; Ofaim, Shany; Mouton, Laurence; Barbe, Valérie; Jiang, Jiandong; Zchori-Fein, Einat; Freilich, Shiri

2018-05-25

Individual organisms are linked to their communities and ecosystems via metabolic activities. Metabolic exchanges and co-dependencies have long been suggested to have a pivotal role in determining community structure. In phloem-feeding insects such metabolic interactions with bacteria enable complementation of their deprived nutrition. The phloem-feeding whitefly Bemisia tabaci (Hemiptera: Aleyrodidae) harbors an obligatory symbiotic bacterium, as well as varying combinations of facultative symbionts. This well-defined bacterial community in B. tabaci serves here as a case study for a comprehensive and systematic survey of metabolic interactions within the bacterial community and their associations with documented occurrences of bacterial combinations. We first reconstructed the metabolic networks of five common B. tabaci symbionts genera (Portiera, Rickettsia, Hamiltonella, Cardinium and Wolbachia), and then used network analysis approaches to predict: (1) species-specific metabolic capacities in a simulated bacteriocyte-like environment; (2) metabolic capacities of the corresponding species' combinations, and (3) dependencies of each species on different media components. The predictions for metabolic capacities of the symbionts in the host environment were in general agreement with previously reported genome analyses, each focused on the single-species level. The analysis suggests several previously un-reported routes for complementary interactions and estimated the dependency of each symbiont in specific host metabolites. No clear association was detected between metabolic co-dependencies and co-occurrence patterns. The analysis generated predictions for testable hypotheses of metabolic exchanges and co-dependencies in bacterial communities and by crossing them with co-occurrence profiles, contextualized interaction patterns into a wider ecological perspective.

An Integrated Environment for Efficient Formal Design and Verification

NASA Technical Reports Server (NTRS)

1998-01-01

The general goal of this project was to improve the practicality of formal methods by combining techniques from model checking and theorem proving. At the time the project was proposed, the model checking and theorem proving communities were applying different tools to similar problems, but there was not much cross-fertilization. This project involved a group from SRI that had substantial experience in the development and application of theorem-proving technology, and a group at Stanford that specialized in model checking techniques. Now, over five years after the proposal was submitted, there are many research groups working on combining theorem-proving and model checking techniques, and much more communication between the model checking and theorem proving research communities. This project contributed significantly to this research trend. The research work under this project covered a variety of topics: new theory and algorithms; prototype tools; verification methodology; and applications to problems in particular domains.

Housing environment and mental health outcomes: A levels of analysis perspective

PubMed Central

Wright, Patricia Ann; Kloos, Bret

2008-01-01

This study examines the effects of perceived housing environment on selected well-being outcomes of a seriously mentally ill population in supported housing programs. Individuals live independently in their own apartments and use supportive mental health services as needed. The study conceptualizes one’s housing environment as existing at the apartment, neighborhood and the surrounding community levels of analysis that, taken together, form a multi-dimensional construct of housing environment. Self-report data from interviews with a sample of seriously mentally ill adults is paired with (a) observer ratings of housing environments, (b) census profiles of the surrounding community and (c) case manager ratings of clients’ functioning in order to explore the effects of supported housing environments on well-being outcomes. Well-being is operationalized here as levels of psychiatric distress, recovery orientation, residential satisfaction, and adaptive functioning. Hierarchical regression models posit that apartment, neighborhood and census tract level variables are unique predictors of these domains of well-being. Results show that neighborhood level variables, especially those relating to the social environment, are the most influential predictors for understanding variance in well-being, with apartment level variables also contributing to understanding of housing environment effects. The census tract level predictors did not contribute a significant amount of explanation of the variance in well-being outcomes. Implications for supported housing programs and the role of ecological levels of analysis in conceptualizing and measuring housing environment influence are discussed. PMID:19183703

Surveillance of obesity-related policies in multiple environments: the Missouri Obesity, Nutrition, and Activity Policy Database, 2007-2009.

PubMed

Haire-Joshu, Debra; Elliott, Michael; Schermbeck, Rebecca; Taricone, Elsa; Green, Scoie; Brownson, Ross C

2010-07-01

The objective of this study was to develop the Missouri Obesity, Nutrition, and Activity Policy Database, a geographically representative baseline of Missouri's existing obesity-related local policies on healthy eating and physical activity. The database is organized to reflect 7 local environments (government, community, health care, worksite, school, after school, and child care) and to describe the prevalence of obesity-related policies in these environments. We employed a stratified nested cluster design using key informant interviews and review of public records to sample 2,356 sites across the 7 target environments for the presence or absence of obesity-related policies. The school environment had the most policies (88%), followed by after school (47%) and health care (32%). Community, government, and child care environments reported smaller proportions of obesity-related policies but higher rates of funding for these policies. Worksite environments had low numbers of obesity-related policies and low funding levels (17% and 6%, respectively). Sixteen of the sampled counties had high obesity-related policy occurrence; 65 had moderate and 8 had low occurrences. Except in Missouri schools, the presence of obesity-related policies is limited. More obesity-related policies are needed so that people have access to environments that support the model behaviors necessary to halt the obesity epidemic. The Missouri Obesity, Nutrition, and Activity Policy Database provides a benchmark for evaluating progress toward the development of obesity-related policies across multiple environments in Missouri.

The world state of orbital debris measurements and modeling

NASA Astrophysics Data System (ADS)

Johnson, Nicholas L.

2004-02-01

For more than 20 years orbital debris research around the world has been striving to obtain a sharper, more comprehensive picture of the near-Earth artificial satellite environment. Whereas significant progress has been achieved through better organized and funded programs and with the assistance of advancing technologies in both space surveillance sensors and computational capabilities, the potential of measurements and modeling of orbital debris has yet to be realized. Greater emphasis on a systems-level approach to the characterization and projection of the orbital debris environment would prove beneficial. On-going space surveillance activities, primarily from terrestrial-based facilities, are narrowing the uncertainties of the orbital debris population for objects greater than 2 mm in LEO and offer a better understanding of the GEO regime down to 10 cm diameter objects. In situ data collected in LEO is limited to a narrow range of altitudes and should be employed with great care. Orbital debris modeling efforts should place high priority on improving model fidelity, on clearly and completely delineating assumptions and simplifications, and on more thorough sensitivity studies. Most importantly, however, greater communications and cooperation between the measurements and modeling communities are essential for the efficient advancement of the field. The advent of the Inter-Agency Space Debris Coordination Committee (IADC) in 1993 has facilitated this exchange of data and modeling techniques. A joint goal of these communities should be the identification of new sources of orbital debris.

Learning professionalism during the third year of medical school in a 9-month-clinical rotation in rural Minnesota.

PubMed

Zink, Therese; Halaas, Gwen Wagstrom; Brooks, Kathleen D

2009-11-01

Professionalism is now an explicit part of the medical school curricula. To examine the components that are part of developing professionalism during the Rural Physician Associate Program (RPAP) experience, a 9-month rotation in a rural community during the third year of medical school. Two researchers analysed 3 years of essays for themes. IRB approval was obtained. Themes were organized using Van de Camp's model of professionalism. Students described how patients taught them about illnesses, the affects on their lives and the lives of their families. Preceptors role-modelled how to relate to patients with compassion and respect (Professionalism Towards the Patient). As a member of the health care team, clinic and hospital staff taught students how to be a good team member (Towards Other Health Care Professionals). Shadowing preceptors in their roles as physicians and community members, students learned about their responsibilities to the community (Towards the Public). Multiple opportunities for self-evaluation and reflection taught students to know themselves and find balance between work responsibilities and their personal lives (Towards Oneself). The RPAP appears to create a supportive learning environment that incorporates psychological safety, appreciation of differences, openness to new ideas and time for reflection - an ideal environment for developing professionalism.

Upending the social ecological model to guide health promotion efforts toward policy and environmental change.

PubMed

Golden, Shelley D; McLeroy, Kenneth R; Green, Lawrence W; Earp, Jo Anne L; Lieberman, Lisa D

2015-04-01

Efforts to change policies and the environments in which people live, work, and play have gained increasing attention over the past several decades. Yet health promotion frameworks that illustrate the complex processes that produce health-enhancing structural changes are limited. Building on the experiences of health educators, community activists, and community-based researchers described in this supplement and elsewhere, as well as several political, social, and behavioral science theories, we propose a new framework to organize our thinking about producing policy, environmental, and other structural changes. We build on the social ecological model, a framework widely employed in public health research and practice, by turning it inside out, placing health-related and other social policies and environments at the center, and conceptualizing the ways in which individuals, their social networks, and organized groups produce a community context that fosters healthy policy and environmental development. We conclude by describing how health promotion practitioners and researchers can foster structural change by (1) conveying the health and social relevance of policy and environmental change initiatives, (2) building partnerships to support them, and (3) promoting more equitable distributions of the resources necessary for people to meet their daily needs, control their lives, and freely participate in the public sphere. © 2015 Society for Public Health Education.

Modeling of nitrogen oxides (NO(x)) concentrations resulting from ships at berth.

PubMed

Abdul-Wahab, Sabah A; Elkamel, Ali; Al Balushi, Abdullah S; Al-Damkhi, Ali M; Siddiqui, Rafiq A

2008-12-01

Oxides of nitrogen (NO(x)) emissions from ships (marine vessels) contribute to poor air quality that negatively impacts public health and communities in coastal areas and far inland. These emissions often excessively harm human health, environment, wildlife habituates, and quality of life of communities and indigenous of people who live near ports. This study was conducted to assess the impact of NO(x) emissions origination from ships at berth on a nearby community. It was undertaken at Said Bin Sultan Naval base in Wullayat Al-Mussana (Sultanate of Oman) during the year 2005. The Industrial Source Complex Short Term (ISCST) model was adopted to determine the dispersion of NO(x) into port and beyond into surrounding urban areas. The hourly and monthly contours (isopleths) of NO(x) concentrations in and around the port were plotted. The results were analyzed to determine the affected area and the level of NO(x) concentrations. The highest concentration points in the studied area were also identified. The isopleths of NO(x) indicated that most shipping emissions of NO(x) occur at the port can be transported over land. The output results can help to derive advice of recommendations ships operators and environmentalists to take the correct decision to prevent workers and surrounded environment from pollution.

SteadyCom: Predicting microbial abundances while ensuring community stability

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

Chan, Siu Hung Joshua; Simons, Margaret N.; Maranas, Costas D.

Genome-scale metabolic modeling has become widespread for analyzing microbial metabolism. Extending this established paradigm to more complex microbial communities is emerging as a promising way to unravel the interactions and biochemical repertoire of these omnipresent systems. While several modeling techniques have been developed for microbial communities, little emphasis has been placed on the need to impose a time-averaged constant growth rate across all members for a community to ensure co-existence and stability. In the absence of this constraint, the faster growing organism will ultimately displace all other microbes in the community. This is particularly important for predicting steady-state microbiota compositionmore » as it imposes significant restrictions on the allowable community membership, composition and phenotypes. In this study, we introduce the SteadyCom optimization framework for predicting metabolic flux distributions consistent with the steady-state requirement. SteadyCom can be rapidly converged by iteratively solving linear programming (LP) problem and the number of iterations is independent of the number of organisms. A significant advantage of SteadyCom is compatibility with flux variability analysis. SteadyCom is first demonstrated for a community of four E. coli double auxotrophic mutants and is then applied to a gut microbiota model consisting of nine species, with representatives from the phyla Bacteroidetes, Firmicutes, Actinobacteria and Proteobacteria. In contrast to the direct use of FBA, SteadyCom is able to predict the change in species abundance in response to changes in diets with minimal additional imposed constraints on the model. Furthermore, by randomizing the uptake rates of microbes, an abundance profile with a good agreement to experimental gut microbiota is inferred. SteadyCom provides an important step towards the cross-cutting task of predicting the composition of a microbial community in a given environment.« less

SteadyCom: Predicting microbial abundances while ensuring community stability

DOE PAGES

Chan, Siu Hung Joshua; Simons, Margaret N.; Maranas, Costas D.; ...

2017-05-15

Genome-scale metabolic modeling has become widespread for analyzing microbial metabolism. Extending this established paradigm to more complex microbial communities is emerging as a promising way to unravel the interactions and biochemical repertoire of these omnipresent systems. While several modeling techniques have been developed for microbial communities, little emphasis has been placed on the need to impose a time-averaged constant growth rate across all members for a community to ensure co-existence and stability. In the absence of this constraint, the faster growing organism will ultimately displace all other microbes in the community. This is particularly important for predicting steady-state microbiota compositionmore » as it imposes significant restrictions on the allowable community membership, composition and phenotypes. In this study, we introduce the SteadyCom optimization framework for predicting metabolic flux distributions consistent with the steady-state requirement. SteadyCom can be rapidly converged by iteratively solving linear programming (LP) problem and the number of iterations is independent of the number of organisms. A significant advantage of SteadyCom is compatibility with flux variability analysis. SteadyCom is first demonstrated for a community of four E. coli double auxotrophic mutants and is then applied to a gut microbiota model consisting of nine species, with representatives from the phyla Bacteroidetes, Firmicutes, Actinobacteria and Proteobacteria. In contrast to the direct use of FBA, SteadyCom is able to predict the change in species abundance in response to changes in diets with minimal additional imposed constraints on the model. Furthermore, by randomizing the uptake rates of microbes, an abundance profile with a good agreement to experimental gut microbiota is inferred. SteadyCom provides an important step towards the cross-cutting task of predicting the composition of a microbial community in a given environment.« less

The Quality of Urban Environments: Mapping Variation in Access to Community Resources.

ERIC Educational Resources Information Center

Witten, Karen; Exeter, Daniel; Field, Adrian

2003-01-01

Discusses the relationship between community infrastructure and health through the development of the Community Resource Accessibility Index (CRAI) research tool.This area-based index of community services, facilities, and amenities enables comparisons between opportunity structures in the local environment and residents' health and wellbeing. It…

Experimental and theoretical study of microalgal competition in laboratory and natural ecosystems

NASA Astrophysics Data System (ADS)

Pisman, T. I.; Somova, L. A.

An important aspect of studying mixed cultures of microalgae is the artificial ecosystems containing algal culture as a regeneration link and a source of vegetable substances. The peculiarities of studying the stability of microalgae mixed cultures in the laboratory and natural environment have been considered in the work. The role of factors most essentially affecting the species structure of phytoplankton community (temperature factor, light intensity, pH environments, elements of mineral nutrition, algal metabolites, predation and fluctuation of environmental conditions) has been displayed. As a result of experimental and theoretical modelling of the microalgae Chlorella vulgaris and Scenedesmus quadricauda competition under limitation on nitrogen, the impossibility of their co-existence has been revealed. Under these conditions Chl. vulgaris turned out to be less competitive than Sc. quadricauda. The influence of the ratio of biogenic elements concentration in the environment, which should be recognized as an independent regulatory factor limiting growth of populations in the community and, thus affecting its structure, has been analyzed.

Obesity and the community food environment: a systematic review.

PubMed

Holsten, Joanna E

2009-03-01

To examine the relationship between obesity and the community and/or consumer food environment. A comprehensive literature search of multiple databases was conducted and seven studies were identified for review. Studies were selected if they measured BMI and environmental variables related to food outlets. Environmental variables included the geographic arrangement of food stores or restaurants in communities and consumer conditions such as food price and availability within each outlet. The study designs, methods, limitations and results related to obesity and the food environment were reviewed, and implications for future research were synthesized. The reviewed studies used cross-sectional designs to examine the community food environment defined as the number per capita, proximity or density of food outlets. Most studies indirectly identified food outlets through large databases. The studies varied substantially in sample populations, outcome variables, units of measurement and data analysis. Two studies did not find any significant association between obesity rates and community food environment variables. Five studies found significant results. Many of the studies were subject to limitations that may have mitigated the validity of the results. Research examining obesity and the community or consumer food environment is at an early stage. The most pertinent gaps include primary data at the individual level, direct measures of the environment, studies examining the consumer environment and study designs involving a time sequence. Future research should directly measure multiple levels of the food environment and key confounders at the individual level.

Genome Informed Trait-Based Models

NASA Astrophysics Data System (ADS)

Karaoz, U.; Cheng, Y.; Bouskill, N.; Tang, J.; Beller, H. R.; Brodie, E.; Riley, W. J.

2013-12-01

Trait-based approaches are powerful tools for representing microbial communities across both spatial and temporal scales within ecosystem models. Trait-based models (TBMs) represent the diversity of microbial taxa as stochastic assemblages with a distribution of traits constrained by trade-offs between these traits. Such representation with its built-in stochasticity allows the elucidation of the interactions between the microbes and their environment by reducing the complexity of microbial community diversity into a limited number of functional ';guilds' and letting them emerge across spatio-temporal scales. From the biogeochemical/ecosystem modeling perspective, the emergent properties of the microbial community could be directly translated into predictions of biogeochemical reaction rates and microbial biomass. The accuracy of TBMs depends on the identification of key traits of the microbial community members and on the parameterization of these traits. Current approaches to inform TBM parameterization are empirical (i.e., based on literature surveys). Advances in omic technologies (such as genomics, metagenomics, metatranscriptomics, and metaproteomics) pave the way to better-initialize models that can be constrained in a generic or site-specific fashion. Here we describe the coupling of metagenomic data to the development of a TBM representing the dynamics of metabolic guilds from an organic carbon stimulated groundwater microbial community. Illumina paired-end metagenomic data were collected from the community as it transitioned successively through electron-accepting conditions (nitrate-, sulfate-, and Fe(III)-reducing), and used to inform estimates of growth rates and the distribution of metabolic pathways (i.e., aerobic and anaerobic oxidation, fermentation) across a spatially resolved TBM. We use this model to evaluate the emergence of different metabolisms and predict rates of biogeochemical processes over time. We compare our results to observational outputs.

A road map for integrating eco-evolutionary processes into biodiversity models.

PubMed

Thuiller, Wilfried; Münkemüller, Tamara; Lavergne, Sébastien; Mouillot, David; Mouquet, Nicolas; Schiffers, Katja; Gravel, Dominique

2013-05-01

The demand for projections of the future distribution of biodiversity has triggered an upsurge in modelling at the crossroads between ecology and evolution. Despite the enthusiasm around these so-called biodiversity models, most approaches are still criticised for not integrating key processes known to shape species ranges and community structure. Developing an integrative modelling framework for biodiversity distribution promises to improve the reliability of predictions and to give a better understanding of the eco-evolutionary dynamics of species and communities under changing environments. In this article, we briefly review some eco-evolutionary processes and interplays among them, which are essential to provide reliable projections of species distributions and community structure. We identify gaps in theory, quantitative knowledge and data availability hampering the development of an integrated modelling framework. We argue that model development relying on a strong theoretical foundation is essential to inspire new models, manage complexity and maintain tractability. We support our argument with an example of a novel integrated model for species distribution modelling, derived from metapopulation theory, which accounts for abiotic constraints, dispersal, biotic interactions and evolution under changing environmental conditions. We hope such a perspective will motivate exciting and novel research, and challenge others to improve on our proposed approach. © 2013 John Wiley & Sons Ltd/CNRS.

The North Carolina Department of Environment and Natural Resources: clean land, water, and air for healthy people and communities.

PubMed

Riegel, Lisa Diaz; Wakild, Charles; Boothe, Laura; Hildebrandt, Heather J; Nicholson, Bruce

2012-01-01

The North Carolina Department of Environment and Natural Resources works with communities and other agencies to sustain clean air, water, and land. Sustainability efforts include protecting air quality through community design, community enhancement through brownfields revitalization, community development strategies to protect water resources, and the integration of natural resource conservation.

Sample size estimation for alternating logistic regressions analysis of multilevel randomized community trials of under-age drinking.

PubMed

Reboussin, Beth A; Preisser, John S; Song, Eun-Young; Wolfson, Mark

2012-07-01

Under-age drinking is an enormous public health issue in the USA. Evidence that community level structures may impact on under-age drinking has led to a proliferation of efforts to change the environment surrounding the use of alcohol. Although the focus of these efforts is to reduce drinking by individual youths, environmental interventions are typically implemented at the community level with entire communities randomized to the same intervention condition. A distinct feature of these trials is the tendency of the behaviours of individuals residing in the same community to be more alike than that of others residing in different communities, which is herein called 'clustering'. Statistical analyses and sample size calculations must account for this clustering to avoid type I errors and to ensure an appropriately powered trial. Clustering itself may also be of scientific interest. We consider the alternating logistic regressions procedure within the population-averaged modelling framework to estimate the effect of a law enforcement intervention on the prevalence of under-age drinking behaviours while modelling the clustering at multiple levels, e.g. within communities and within neighbourhoods nested within communities, by using pairwise odds ratios. We then derive sample size formulae for estimating intervention effects when planning a post-test-only or repeated cross-sectional community-randomized trial using the alternating logistic regressions procedure.

Training Community Modeling and Simulation Business Plan, 2007 Edition. Volume 2: Data Call Responses and Analysis

DTIC Science & Technology

2009-02-01

services; and • Other reconstruction assistance. D-14 17. Train Forces on Military Assistance to Civil Authorities ( MACA ) Develop environments...for training in the planning and execution of MACA in support of disaster relief (natural and man-made), military assistance for civil disturbances

Simulating Emission and Chemical Evolution of Coarse Sea-Salt Particles in the Community Multiscale Air Quality (CMAQ) Model

EPA Science Inventory

Chemical processing of sea-salt particles in coastal environments significantly impacts concentrations of particle components and gas-phase species and has implications for human exposure to particulate matter and nitrogen deposition to sensitive ecosystems. Emission of sea-sal...

Sustainable Living in Long-Term Care: For People with Dementia/Alzheimer's

ERIC Educational Resources Information Center

Simmons, Daniela

2011-01-01

Nonhome-based long-term care sustainable living arrangements for elderly people with Alzheimer's is presented. Characteristics contributing to sustainability are discussed. The ultimate goal in sustainable design for older adult communities is a people-centered model of care in environments that improve their quality of life. Without sustainable…

DEVELOPMENT OF AN URBAN FOOD LEADERSHIP COOP IN SUPPORT OF A LOCAL FOOD SYSTEM

EPA Science Inventory

A need shared by all communities is a clean environment that supports a sustainable food system and promotes human health. The current food system does not model environmental, social, or economic sustainability. Therefore, the challenge is to develop and support a new food ...

A Review of Meta-Analysis Packages in R

ERIC Educational Resources Information Center

Polanin, Joshua R.; Hennessy, Emily A.; Tanner-Smith, Emily E.

2017-01-01

Meta-analysis is a statistical technique that allows an analyst to synthesize effect sizes from multiple primary studies. To estimate meta-analysis models, the open-source statistical environment R is quickly becoming a popular choice. The meta-analytic community has contributed to this growth by developing numerous packages specific to…

Explaining Helping Behavior in a Cooperative Learning Classroom Setting Using Attribution Theory

ERIC Educational Resources Information Center

Ahles, Paula M.; Contento, Jann M.

2006-01-01

This recently completed study examined whether attribution theory can explain helping behavior in an interdependent classroom environment that utilized a cooperative-learning model. The study focused on student participants enrolled in 6 community college communication classes taught by the same instructor. Three levels of cooperative-learning…

Creating a Community of Learners: Using the Teacher as Facilitator Model.

ERIC Educational Resources Information Center

Elam, Kathleen G., Ed.; Duckenfield, Marty, Ed.

This handbook presents the anecdotes of exemplary facilitative teachers representing a broad range of grade levels and disciplines. Teachers share how their philosophical paradigms evolved; how these emerge in daily teaching practice; what happens intrinsically and extrinsically in their classroom learning environment; and how students benefit…

Topic Models for Link Prediction in Document Networks

ERIC Educational Resources Information Center

Kataria, Saurabh

2012-01-01

Recent explosive growth of interconnected document collections such as citation networks, network of web pages, content generated by crowd-sourcing in collaborative environments, etc., has posed several challenging problems for data mining and machine learning community. One central problem in the domain of document networks is that of "link…

Ant-mediated ecosystem processes are driven by trophic community structure but mainly by the environment.

PubMed

Salas-Lopez, Alex; Mickal, Houadria; Menzel, Florian; Orivel, Jérôme

2017-01-01

The diversity and functional identity of organisms are known to be relevant to the maintenance of ecosystem processes but can be variable in different environments. Particularly, it is uncertain whether ecosystem processes are driven by complementary effects or by dominant groups of species. We investigated how community structure (i.e., the diversity and relative abundance of biological entities) explains the community-level contribution of Neotropical ant communities to different ecosystem processes in different environments. Ants were attracted with food resources representing six ant-mediated ecosystem processes in four environments: ground and vegetation strata in cropland and forest habitats. The exploitation frequencies of the baits were used to calculate the taxonomic and trophic structures of ant communities and their contribution to ecosystem processes considered individually or in combination (i.e., multifunctionality). We then investigated whether community structure variables could predict ecosystem processes and whether such relationships were affected by the environment. We found that forests presented a greater biodiversity and trophic complementarity and lower dominance than croplands, but this did not affect ecosystem processes. In contrast, trophic complementarity was greater on the ground than on vegetation and was followed by greater resource exploitation levels. Although ant participation in ecosystem processes can be predicted by means of trophic-based indices, we found that variations in community structure and performance in ecosystem processes were best explained by environment. We conclude that determining the extent to which the dominance and complementarity of communities affect ecosystem processes in different environments requires a better understanding of resource availability to different species.

Nonlinear Modeling and Initial Condition Estimation for Identifying the Aerothermodynamic Environment of the Space Shuttle Orbiter.

DTIC Science & Technology

1983-12-01

8217°%. .. o..’% - * 2’ . *. -o- . *o.oo o ,o ;j ’:-’ List of Figures Figure Page 1. System Identification of the Aerothermodynamic Environment of... System (STS) has of fered the engineering community a unique opportunity to flight test a reentry, hypersonic vehicle. The key 4 to the Shuttle’s...of the system (Refs. 7,8,9,10). Although the initial test flights have now been completed, data analysis and expansion of the existing data base

A qualitative assessment of a community antiretroviral therapy group model in Tete, Mozambique.

PubMed

Rasschaert, Freya; Telfer, Barbara; Lessitala, Faustino; Decroo, Tom; Remartinez, Daniel; Biot, Marc; Candrinho, Baltazar; Mbofana, Francisco; Van Damme, Wim

2014-01-01

To improve retention on ART, Médecins Sans Frontières, the Ministry of Health and patients piloted a community-based antiretroviral distribution and adherence monitoring model through Community ART Groups (CAG) in Tete, Mozambique. By December 2012, almost 6000 patients on ART had formed groups of whom 95.7% were retained in care. We conducted a qualitative study to evaluate the relevance, dynamic and impact of the CAG model on patients, their communities and the healthcare system. Between October 2011 and May 2012, we conducted 16 focus group discussions and 24 in-depth interviews with the major stakeholders involved in the CAG model. Audio-recorded data were transcribed verbatim and analysed using a grounded theory approach. Six key themes emerged from the data: 1) Barriers to access HIV care, 2) CAG functioning and actors involved, 3) Benefits for CAG members, 4) Impacts of CAG beyond the group members, 5) Setbacks, and 6) Acceptance and future expectations of the CAG model. The model provides cost and time savings, certainty of ART access and mutual peer support resulting in better adherence to treatment. Through the active role of patients, HIV information could be conveyed to the broader community, leading to an increased uptake of services and positive transformation of the identity of people living with HIV. Potential pitfalls included limited access to CAG for those most vulnerable to defaulting, some inequity to patients in individual ART care and a high dependency on counsellors. The CAG model resulted in active patient involvement and empowerment, and the creation of a supportive environment improving the ART retention. It also sparked a reorientation of healthcare services towards the community and strengthened community actions. Successful implementation and scalability requires (a) the acceptance of patients as partners in health, (b) adequate resources, and (c) a well-functioning monitoring and management system.

Developing Scholarly Communities as Learning Environments for Doctoral Students

ERIC Educational Resources Information Center

Pyhalto, Kirsi; Stubb, Jenni; Lonka, Kirsti

2009-01-01

The quality of PhD training can be conceived of as being dependent on the learning environment provided by the scholarly community. Our paper explores PhD students' ideas about themselves as a part of this community, and their perceptions of their learning environment in the context of the University of Helsinki, Finland. The study is a part of a…

Challenges in the management of chronic noncommunicable diseases by Indonesian community pharmacists

PubMed Central

Puspitasari, Hanni P.; Aslani, Parisa; Krass, Ines

2015-01-01

Objectives: We explored factors influencing Indonesian primary care pharmacists’ practice in chronic noncommunicable disease management and proposed a model illustrating relationships among factors. Methods: We conducted in-depth, semistructured interviews with pharmacists working in community health centers (Puskesmas, n=5) and community pharmacies (apotek, n=15) in East Java Province. We interviewed participating pharmacists using Bahasa Indonesia to explore facilitators and barriers to their practice in chronic disease management. We audiorecorded all interviews, transcribed ad verbatim, translated into English and analyzed the data using an approach informed by “grounded-theory”. Results: We extracted five emergent themes/factors: pharmacists’ attitudes, Puskesmas/apotek environment, pharmacy education, pharmacy professional associations, and the government. Respondents believed that primary care pharmacists have limited roles in chronic disease management. An unfavourable working environment and perceptions of pharmacists’ inadequate knowledge and skills were reported by many as barriers to pharmacy practice. Limited professional standards, guidelines, leadership and government regulations coupled with low expectations of pharmacists among patients and doctors also contributed to their lack of involvement in chronic disease management. We present the interplay of these factors in our model. Conclusion: Pharmacists’ attitudes, knowledge, skills and their working environment appeared to influence pharmacists’ contribution in chronic disease management. To develop pharmacists’ involvement in chronic disease management, support from pharmacy educators, pharmacy owners, professional associations, the government and other stakeholders is required. Our findings highlight a need for systematic coordination between pharmacists and stakeholders to improve primary care pharmacists’ practice in Indonesia to achieve continuity of care. PMID:26445618

Medication deserts: survey of neighborhood disparities in availability of prescription medications.

PubMed

Amstislavski, Philippe; Matthews, Ariel; Sheffield, Sarah; Maroko, Andrew R; Weedon, Jeremy

2012-11-09

Only a small amount of research has focused on the relationship between socio-economic status (SES) and geographic access to prescription medications at community pharmacies in North America and Europe. To examine the relationship between a community's socio-economic context and its residents' geographic access to common medications in pharmacies, we hypothesized that differences are present in access to pharmacies across communities with different socio-economic environments, and in availability of commonly prescribed medications within pharmacies located in communities with different socio-economic status. We visited 408 pharmacies located in 168 socio-economically diverse communities to assess the availability of commonly prescribed medications. We collected the following information at each pharmacy visited: hours of operation, pharmacy type, in-store medication availability, and the cash price of the 13 most commonly prescribed medications. We calculated descriptive statistics for the sample and fitted a series of hierarchical linear models to test our hypothesis that the in-stock availability of medications differs by the socio-economic conditions of the community. This was accomplished by modeling medication availability in pharmacies on the socio-economic factors operating at the community level in a socio-economically devise urban area. Pharmacies in poor communities had significantly higher odds of medications being out of stock, OR=1.24, 95% CI [1.02, 1.52]. There was also a significant difference in density of smaller, independent pharmacies with very limited stock and hours of operation, and larger, chain pharmacies in poor communities as compared to the middle and low-poverty communities. The findings suggest that geographic access to a neighborhood pharmacy, the type of pharmacy, and availability of commonly prescribed medications varies significantly across communities. In extreme cases, entire communities could be deemed "medication deserts" because geographic access to pharmacies and the availability of the most prescribed medications within them were very poor. To our knowledge, this study is first to report on the relationship between SES and geographic access to medications using small area econometric analysis techniques. Our findings should be reasonably generalizable to other urban areas in North America and Europe and suggest that more research is required to better understand the relationship of socio-economic environments and access to medications to develop strategies to achieve equitable medication access.

A systems approach for the development of a sustainable community--the application of the sensitivity model (SM).

PubMed

Chan, Shih-Liang; Huang, Shu-Li

2004-09-01

Corresponding to the concept of 'Think globally, act locally and plan regionally' of sustainable development, this paper discusses the approach of planning a sustainable community in terms of systems thinking. We apply a systems tool, the sensitivity model (SM), to build a model of the development of the community of Ping-Ding, located adjacent to the Yang-Ming-Shan National Park, Taiwan. The major issue in the development of Ping-Ding is the conflict between environmental conservation and the development of a local tourism industry. With the involvement of local residents, planners, and interest groups, a system model of 26 variables was defined to identify characteristics of Ping-Ding through pattern recognition. Two scenarios concerning the sustainable development of Ping-Ding are simulated with interlinked feedbacks from variables. The results of the analysis indicate that the development of Ping-Ding would be better served by the planning of agriculture and the tourism industry. The advantages and shortfalls of applying SM in the current planning environment of Taiwan are also discussed to conclude this paper.

Diabetes is a community issue: the critical elements of a successful outreach and education model on the U.S.-Mexico border.

PubMed

Ingram, Maia; Gallegos, Gwen; Elenes, JoJean

2005-01-01

Diabetes is reaching epidemic proportions on the U.S.-Mexico Border, and culturally competent diabetes education is not available in many communities. People with diabetes often do not have access to regular medical care, cannot afford medication, and lack the community infrastructure that supports self-management practices. Self-management education and support have great potential to impact diabetes control in this environment. To address this need, partners of the Border Health Strategic Initiative (Border Health iSI!) collaboratively developed a culturally relevant diabetes outreach and education program. The model included a five-week series of free diabetes education classes that assisted participants in gaining the knowledge and skills necessary to be physically active, control diet, monitor blood sugar, take medications, and be aware of complications. Central to the model was the use of community health workers - or promotores de salud - to conduct outreach, participate in patient education, and provide individual support. Program participants achieved significant improvements in self-management behaviors and HbA1c, random blood glucose, and blood pressure levels. Quantitative and qualitative evaluation helped to identify the essential elements of a successful program, including partnership of providers, community diabetes classes, promotores outreach and support, linkage between diabetes education and clinical care, and program evaluation.

Photophysiological and light absorption properties of phytoplankton communities in the river-dominated margin of the northern Gulf of Mexico

NASA Astrophysics Data System (ADS)

Chakraborty, Sumit; Lohrenz, Steven E.; Gundersen, Kjell

2017-06-01

Spatial and temporal variability in photophysiological properties of phytoplankton were examined in relationship to phytoplankton community composition in the river-dominated continental margin of the northern Gulf of Mexico (NGOM). Observations made during five research cruises in the NGOM included phytoplankton photosynthetic and optical properties and associated environmental conditions and phytoplankton community structure. Distinct patterns of spatial and temporal variability in photophysiological parameters were found for waters dominated by different phytoplankton groups. Photophysiological properties for locations associated with dominance by a particular group of phytoplankton showed evidence of photoacclimation as reflected by differences in light absorption and pigment characteristics in relationship to different light environments. The maximum rate of photosynthesis normalized to chlorophyll (PmaxB) was significantly higher for communities dominated (>60% biomass) by cyanobacteria + prochlorophyte (cyano + prochl). The initial slope of the photosynthesis-irradiance (P-E) curve normalized to chlorophyll (αB) was not clearly related to phytoplankton community structure and no significant differences were found in PmaxB and αB between different geographic regions. In contrast, maximum quantum yield of carbon fixation in photosynthesis (Φcmax) differed significantly between regions and was higher for diatom-dominated communities. Multiple linear regression models, specific for the different phytoplankton communities, using a combination of environmental and bio-optical proxies as predictor variables showed considerable promise for estimation of the photophysiological parameters on a regional scale. Such an approach may be utilized to develop size class-specific or phytoplankton group-specific primary productivity models for the NGOM.