WorldWideScience

Sample records for estimate community level

  1. Model ecosystem approach to estimate community level effects of radiation

    Energy Technology Data Exchange (ETDEWEB)

    Masahiro, Doi; Nobuyuki, Tanaka; Shoichi, Fuma; Nobuyoshi, Ishii; Hiroshi, Takeda; Zenichiro, Kawabata [National Institute of Radiological Sciences, Environmental and Toxicological Sciences Research Group, Chiba (Japan)

    2004-07-01

    Mathematical computer model is developed to simulate the population dynamics and dynamic mass budgets of the microbial community realized as a self sustainable aquatic ecological system in the tube. Autotrophic algae, heterotrophic protozoa and sapro-trophic bacteria live symbiotically with inter-species' interactions as predator-prey relationship, competition for the common resource, autolysis of detritus and detritus-grazing food chain, etc. The simulation model is the individual-based parallel model, built in the demographic stochasticity, environmental stochasticity by dividing the aquatic environment into patches. Validity of the model is checked by the multifaceted data of the microcosm experiments. In the analysis, intrinsic parameters of umbrella endpoints (lethality, morbidity, reproductive growth, mutation) are manipulated at the individual level, and tried to find the population level, community level and ecosystem level disorders of ecologically crucial parameters (e.g. intrinsic growth rate, carrying capacity, variation, etc.) that related to the probability of population extinction. (author)

  2. Model ecosystem approach to estimate community level effects of radiation

    International Nuclear Information System (INIS)

    Masahiro, Doi; Nobuyuki, Tanaka; Shoichi, Fuma; Nobuyoshi, Ishii; Hiroshi, Takeda; Zenichiro, Kawabata

    2004-01-01

    Mathematical computer model is developed to simulate the population dynamics and dynamic mass budgets of the microbial community realized as a self sustainable aquatic ecological system in the tube. Autotrophic algae, heterotrophic protozoa and sapro-trophic bacteria live symbiotically with inter-species' interactions as predator-prey relationship, competition for the common resource, autolysis of detritus and detritus-grazing food chain, etc. The simulation model is the individual-based parallel model, built in the demographic stochasticity, environmental stochasticity by dividing the aquatic environment into patches. Validity of the model is checked by the multifaceted data of the microcosm experiments. In the analysis, intrinsic parameters of umbrella endpoints (lethality, morbidity, reproductive growth, mutation) are manipulated at the individual level, and tried to find the population level, community level and ecosystem level disorders of ecologically crucial parameters (e.g. intrinsic growth rate, carrying capacity, variation, etc.) that related to the probability of population extinction. (author)

  3. SAMPLING ADAPTIVE STRATEGY AND SPATIAL ORGANISATION ESTIMATION OF SOIL ANIMAL COMMUNITIES AT VARIOUS HIERARCHICAL LEVELS OF URBANISED TERRITORIES

    Directory of Open Access Journals (Sweden)

    Baljuk J.A.

    2014-12-01

    Full Text Available In work the algorithm of adaptive strategy of optimum spatial sampling for studying of the spatial organisation of communities of soil animals in the conditions of an urbanization have been presented. As operating variables the principal components obtained as a result of the analysis of the field data on soil penetration resistance, soils electrical conductivity and density of a forest stand, collected on a quasiregular grid have been used. The locations of experimental polygons have been stated by means of program ESAP. The sampling has been made on a regular grid within experimental polygons. The biogeocoenological estimation of experimental polygons have been made on a basis of A.L.Belgard's ecomorphic analysis. The spatial configuration of biogeocoenosis types has been established on the basis of the data of earth remote sensing and the analysis of digital elevation model. The algorithm was suggested which allows to reveal the spatial organisation of soil animal communities at investigated point, biogeocoenosis, and landscape.

  4. Discrepancies between self-reported years of education and estimated reading level among elderly community-dwelling African-Americans: Analysis of the MOAANS data.

    Science.gov (United States)

    O'Bryant, Sid E; Lucas, John A; Willis, Floyd B; Smith, Glenn E; Graff-Radford, Neill R; Ivnik, Robert J

    2007-03-01

    The influence of education on cognition has received a great deal of attention in the literature. Although there is general consensus regarding the importance of education on cognitive functioning, the extent to which self-reported level of education corresponds to true educational attainment remains unclear, especially in ethnic minority populations where equal access to education has not always been available. Several investigators have suggested that reading skill may serve as a quantitative estimate of true education experience. Among African-Americans, however, research has shown that self-reported educational level consistently over predicts estimated reading level. The current study analyzed the discrepancy between self-reported years of education completed and estimated reading level in a sample of community-dwelling, elderly African-Americans participating in Mayo's Older African Americans Normative Studies (MOAANS) (Lucas, J.A., Ivnik, R.J., Willis, F.B., Ferman, T.J., Smith, G.E., Parfitt, F.C., Petersen, R.C., & Graff-Radford, N.R. (2005). Mayo's Older African Americans Normative Studies: Normative data for commonly used clinical neuropsychological measures. The Clinical Neuropsychologist, 19, 162-183). In this sample, 29% of the participants read at a level that was 3 or more years below what would be expected based on self-report of education attained. This study also sought to evaluate the extent to which this discrepancy fluctuated as a function of demographic variables such as location of schooling (urban, suburban, rural; North vs. South), parental education and literacy, and percentage of segregation in schooling. Implications of these results are discussed, as are areas for further inquiry.

  5. Effect of phenylurea herbicides on soil microbial communities estimated by analysis of 16S rRNA gene fingerprints and community-level physiological profiles.

    Science.gov (United States)

    el Fantroussi, S; Verschuere, L; Verstraete, W; Top, E M

    1999-03-01

    The effect of three phenyl urea herbicides (diuron, linuron, and chlorotoluron) on soil microbial communities was studied by using soil samples with a 10-year history of treatment. Denaturing gradient gel electrophoresis (DGGE) was used for the analysis of 16S rRNA genes (16S rDNA). The degree of similarity between the 16S rDNA profiles of the communities was quantified by numerically analysing the DGGE band patterns. Similarity dendrograms showed that the microbial community structures of the herbicide-treated and nontreated soils were significantly different. Moreover, the bacterial diversity seemed to decrease in soils treated with urea herbicides, and sequence determination of several DGGE fragments showed that the most affected species in the soils treated with diuron and linuron belonged to an uncultivated bacterial group. As well as the 16S rDNA fingerprints, the substrate utilization patterns of the microbial communities were compared. Principal-component analysis performed on BIOLOG data showed that the functional abilities of the soil microbial communities were altered by the application of the herbicides. In addition, enrichment cultures of the different soils in medium with the urea herbicides as the sole carbon and nitrogen source showed that there was no difference between treated and nontreated soil in the rate of transformation of diuron and chlorotoluron but that there was a strong difference in the case of linuron. In the enrichment cultures with linuron-treated soil, linuron disappeared completely after 1 week whereas no significant transformation was observed in cultures inoculated with nontreated soil even after 4 weeks. In conclusion, this study showed that both the structure and metabolic potential of soil microbial communities were clearly affected by a long-term application of urea herbicides.

  6. Estimating Water Levels with Google Earth Engine

    Science.gov (United States)

    Lucero, E.; Russo, T. A.; Zentner, M.; May, J.; Nguy-Robertson, A. L.

    2016-12-01

    Reservoirs serve multiple functions and are vital for storage, electricity generation, and flood control. For many areas, traditional ground-based reservoir measurements may not be available or data dissemination may be problematic. Consistent monitoring of reservoir levels in data-poor areas can be achieved through remote sensing, providing information to researchers and the international community. Estimates of trends and relative reservoir volume can be used to identify water supply vulnerability, anticipate low power generation, and predict flood risk. Image processing with automated cloud computing provides opportunities to study multiple geographic areas in near real-time. We demonstrate the prediction capability of a cloud environment for identifying water trends at reservoirs in the US, and then apply the method to data-poor areas in North Korea, Iran, Azerbaijan, Zambia, and India. The Google Earth Engine cloud platform hosts remote sensing data and can be used to automate reservoir level estimation with multispectral imagery. We combine automated cloud-based analysis from Landsat image classification to identify reservoir surface area trends and radar altimetry to identify reservoir level trends. The study estimates water level trends using three years of data from four domestic reservoirs to validate the remote sensing method, and five foreign reservoirs to demonstrate the method application. We report correlations between ground-based reservoir level measurements in the US and our remote sensing methods, and correlations between the cloud analysis and altimetry data for reservoirs in data-poor areas. The availability of regular satellite imagery and an automated, near real-time application method provides the necessary datasets for further temporal analysis, reservoir modeling, and flood forecasting. All statements of fact, analysis, or opinion are those of the author and do not reflect the official policy or position of the Department of Defense or any

  7. Randomised and non-randomised studies to estimate the effect of community-level public health interventions: definitions and methodological considerations.

    Science.gov (United States)

    Schmidt, Wolf-Peter

    2017-01-01

    The preferred method to evaluate public health interventions delivered at the level of whole communities is the cluster randomised trial (CRT). The practical limitations of CRTs and the need for alternative methods continue to be debated. There is no consensus on how to classify study designs to evaluate interventions, and how different design features are related to the strength of evidence. This article proposes that most study designs for the evaluation of cluster-level interventions fall into four broad categories: the CRT, the non-randomised cluster trial (NCT), the controlled before-and-after study (CBA), and the before-and-after study without control (BA). A CRT needs to fulfil two basic criteria: (1) the intervention is allocated at random; (2) there are sufficient clusters to allow a statistical between-arm comparison. In a NCT, statistical comparison is made across trial arms as in a CRT, but treatment allocation is not random. The defining feature of a CBA is that intervention and control arms are not compared directly, usually because there are insufficient clusters in each arm to allow a statistical comparison. Rather, baseline and follow-up measures of the outcome of interest are compared in the intervention arm, and separately in the control arm. A BA is a CBA without a control group. Each design may provide useful or misleading evidence. A precise baseline measurement of the outcome of interest is critical for causal inference in all studies except CRTs. Apart from statistical considerations the exploration of pre/post trends in the outcome allows a more transparent discussion of study weaknesses than is possible in non-randomised studies without a baseline measure.

  8. Estimating and Mapping Ecological Processes Influencing Microbial Community Assembly

    Directory of Open Access Journals (Sweden)

    James C Stegen

    2015-05-01

    Full Text Available Ecological community assembly is governed by a combination of (i selection resulting from among-taxa differences in performance; (ii dispersal resulting from organismal movement; and (iii ecological drift resulting from stochastic changes in population sizes. The relative importance and nature of these processes can vary across environments. Selection can be homogeneous or variable, and while dispersal is a rate, we conceptualize extreme dispersal rates as two categories; dispersal limitation results from limited exchange of organisms among communities, and homogenizing dispersal results from high levels of organism exchange. To estimate the influence and spatial variation of each process we extend a recently developed statistical framework, use a simulation model to evaluate the accuracy of the extended framework, and use the framework to examine subsurface microbial communities over two geologic formations. For each subsurface community we estimate the degree to which it is influenced by homogeneous selection, variable selection, dispersal limitation, and homogenizing dispersal. Our analyses revealed that the relative influences of these ecological processes vary substantially across communities even within a geologic formation. We further identify environmental and spatial features associated with each ecological process, which allowed mapping of spatial variation in ecological-process-influences. The resulting maps provide a new lens through which ecological systems can be understood; in the subsurface system investigated here they revealed that the influence of variable selection was associated with the rate at which redox conditions change with subsurface depth.

  9. Estimating the cost of referral and willingness to pay for referral to higher-level health facilities: a case series study from an integrated community case management programme in Uganda.

    Science.gov (United States)

    Nanyonjo, Agnes; Bagorogoza, Benson; Kasteng, Frida; Ayebale, Godfrey; Makumbi, Fredrick; Tomson, Göran; Källander, Karin

    2015-08-28

    Integrated community case management (iCCM) relies on community health workers (CHWs) managing children with malaria, pneumonia, diarrhoea, and referring children when management is not possible. This study sought to establish the cost per sick child referred to seek care from a higher-level health facility by a CHW and to estimate caregivers' willingness to pay (WTP) for referral. Caregivers of 203 randomly selected children referred to higher-level health facilities by CHWs were interviewed in four Midwestern Uganda districts. Questionnaires and document reviews were used to capture direct, indirect and opportunity costs incurred by caregivers, CHWs and health facilities managing referred children. WTP for referral was assessed through the 'bidding game' approach followed by an open-ended question on maximum WTP. Descriptive analysis was conducted for factors associated with referral completion and WTP using logistic and linear regression methods, respectively. The cost per case referred to higher-level health facilities was computed from a societal perspective. Reasons for referral included having fever with a negative malaria test (46.8%), danger signs (29.6%) and drug shortage (37.4%). Among the referred, less than half completed referral (45.8%). Referral completion was 2.8 times higher among children with danger signs (p = 0.004) relative to those without danger signs, and 0.27 times lower among children who received pre-referral treatment (p average cost per case referred was US$ 4.89 and US$7.35 per case completing referral. For each unit cost per case referred, caregiver out of pocket expenditure contributed 33.7%, caregivers' and CHWs' opportunity costs contributed 29.2% and 5.1% respectively and health facility costs contributed 39.6%. The mean (SD) out of pocket expenditure was US$1.65 (3.25). The mean WTP for referral was US$8.25 (14.70) and was positively associated with having received pre-referral treatment, completing referral and increasing

  10. Occupancy in community-level studies

    Science.gov (United States)

    MacKenzie, Darryl I.; Nichols, James; Royle, Andy; Pollock, Kenneth H.; Bailey, Larissa L.; Hines, James

    2018-01-01

    Another type of multi-species studies, are those focused on community-level metrics such as species richness. In this chapter we detail how some of the single-species occupancy models described in earlier chapters have been applied, or extended, for use in such studies, while accounting for imperfect detection. We highlight how Bayesian methods using MCMC are particularly useful in such settings to easily calculate relevant community-level summaries based on presence/absence data. These modeling approaches can be used to assess richness at a single point in time, or to investigate changes in the species pool over time.

  11. Community mobilization and household level waste management ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    two mosquito carrier species, Aedes aegypti and. Aedes albopictus is especially high.17. The incidence of dengue is positively correlated with education or literacy level. The more educated the community is the less the incidence of the disease, probably due to increased awareness and ability to afford and practice ...

  12. Community-Level Impacts Projection System (CLIPS). Final report

    Energy Technology Data Exchange (ETDEWEB)

    Monts, J.K.; Bareiss, E.R.

    1979-02-01

    The Community-Level Impacts Projection System includes a set of techniques for providing detailed advance information required for rational planning. The computerized system generates reports which enable the user: to describe the energy development activity in terms of its employment demands and spatial location; to estimate how many in-migrating workers will be required; to estimate the demographic characteristics of the in-migrating workers (e.g., how many elementary school children they will bring); to estimate how many additional secondary employment opportunities (e.g., employment in eating and drinking establishments and grocery stores) will be generated; to estimate what the local area's population levels in various age groups would be both with the project and without it; to estimate community population levels for both the impact case and the baseline case; and to estimate the approximate resource requirements and costs for providing additional municipal facilities and services (e.g., water treatment and distribution, wastewater treatment and collection, gas and electric distribution, police and fire protection, etc.)

  13. Trait level estimation for nonfitting response vectors

    NARCIS (Netherlands)

    Meijer, R.R.

    1997-01-01

    Item responses that do not fit an item response theory model may cause the latent trait value, 0, to be inaccurately estimated. Although in many studies the proportion of nonmodel-fitting response vectors (NRvs) identified (i.e., the detection rate) has been investigated, less is known about the

  14. Concussions in Community-Level Rugby: Risk, Knowledge, and Attitudes.

    Science.gov (United States)

    Martin, R Kyle; Hrubeniuk, Travis J; Witiw, Christopher D; MacDonald, Peter; Leiter, Jeff

    Rugby is a popular collision sport where participants are at risk of sustaining concussions. Most research focuses on elite-level or youth divisions. Comparatively, little is known about adult community rugby. The aim of this research was to estimate the risk of sustaining a concussion during participation in community-level rugby and summarize the collective knowledge and attitudes toward concussions. Concussion symptoms will be reported frequently among community-level rugby players and a substantial proportion will report a willingness to continue participation despite the risk. Cross-sectional analysis. Level 3. An anonymous, voluntary survey was administered to all 464 senior rugby players registered in the province of Manitoba in 2015. Two primary domains were assessed: (1) concussion history from the preceding season including occurrence, symptomatology, and impact on daily activities and (2) knowledge and attitudes toward concussion risks and management. In total, 284 (61.2%) rugby players responded. Concussive symptoms were reported by 106 (37.3%). Of those, 87% were formally diagnosed with a concussion and 27% missed school and/or work as a result. The danger of playing while symptomatic was recognized by 93.7% of participants, yet 29% indicated they would continue while symptomatic. Furthermore, 39% felt they were letting others down if they stopped playing due to a concussion. Concussive symptoms were common among the study cohort and had a notable impact on daily activities. A high proportion of players were willing to continue while experiencing symptoms despite recognizing the danger. The observed discord between knowledge and attitudes implicates a culture of "playing injured." Understanding the risk of injury may affect an individual's decision to participate in community-level rugby. Moreover, evidence of discord between the knowledge and attitudes of players may direct future research initiatives and league governance.

  15. Using the Concept of "Population Dose" in Planning and Evaluating Community-Level Obesity Prevention Initiatives

    Science.gov (United States)

    Cheadle, Allen; Schwartz, Pamela M.; Rauzon, Suzanne; Bourcier, Emily; Senter, Sandra; Spring, Rebecca; Beery, William L.

    2013-01-01

    When planning and evaluating community-level initiatives focused on policy and environment change, it is useful to have estimates of the impact on behavioral outcomes of particular strategies (e.g., building a new walking trail to promote physical activity). We have created a measure of estimated strategy-level impact--"population dose"--based on…

  16. Estimating the Threshold Level of Inflation for Thailand

    OpenAIRE

    JIRANYAKUL, Komain

    2017-01-01

    Abstract. This paper analyzes the relationship between inflation and economic growth in Thailand using annual dataset during 1990 and 2015. The threshold model is estimated for different levels of threshold inflation rate. The results suggest that the threshold level of inflation above which inflation significantly slow growth is estimated at 3 percent. The negative relationship between inflation and growth is apparent above this threshold level of inflation. In other words, the inflation rat...

  17. Medium Range Ensembles Flood Forecasts for Community Level Applications

    Science.gov (United States)

    Fakhruddin, S.; Kawasaki, A.; Babel, M. S.; AIT

    2013-05-01

    Early warning is a key element for disaster risk reduction. In recent decades, there has been a major advancement in medium range and seasonal forecasting. These could provide a great opportunity to improve early warning systems and advisories for early action for strategic and long term planning. This could result in increasing emphasis on proactive rather than reactive management of adverse consequences of flood events. This can be also very helpful for the agricultural sector by providing a diversity of options to farmers (e.g. changing cropping pattern, planting timing, etc.). An experimental medium range (1-10 days) flood forecasting model has been developed for Bangladesh which provides 51 set of discharge ensembles forecasts of one to ten days with significant persistence and high certainty. This could help communities (i.e. farmer) for gain/lost estimation as well as crop savings. This paper describe the application of ensembles probabilistic flood forecast at the community level for differential decision making focused on agriculture. The framework allows users to interactively specify the objectives and criteria that are germane to a particular situation, and obtain the management options that are possible, and the exogenous influences that should be taken into account before planning and decision making. risk and vulnerability assessment was conducted through community consultation. The forecast lead time requirement, users' needs, impact and management options for crops, livestock and fisheries sectors were identified through focus group discussions, informal interviews and questionnaire survey.

  18. Estimation of the uncertainties considered in NPP PSA level 2

    International Nuclear Information System (INIS)

    Kalchev, B.; Hristova, R.

    2005-01-01

    The main approaches of the uncertainties analysis are presented. The sources of uncertainties which should be considered in PSA level 2 for WWER reactor such as: uncertainties propagated from level 1 PSA; uncertainties in input parameters; uncertainties related to the modelling of physical phenomena during the accident progression and uncertainties related to the estimation of source terms are defined. The methods for estimation of the uncertainties are also discussed in this paper

  19. Community Characteristics are Associated with Blood Pressure Levels in a Racially Integrated Community

    OpenAIRE

    Samuel, L. J.; Thorpe, R. J.; Bower, K. M.; LaVeist, T. A.

    2015-01-01

    Community problems have been associated with higher, and community resources and social cohesion with lower, blood pressure. However, prior studies have not accounted for potential confounding by residential racial segregation. This study tested associations between community characteristics and blood pressure levels and prevalent hypertension in a racially integrated community. The Exploring Health Disparities in Integrated Communities Study measured blood pressure in residents of two contig...

  20. Estimation of Particulate Mass and Manganese Exposure Levels among Welders

    OpenAIRE

    Hobson, Angela; Seixas, Noah; Sterling, David; Racette, Brad A.

    2010-01-01

    Background: Welders are frequently exposed to Manganese (Mn), which may increase the risk of neurological impairment. Historical exposure estimates for welding-exposed workers are needed for epidemiological studies evaluating the relationship between welding and neurological or other health outcomes. The objective of this study was to develop and validate a multivariate model to estimate quantitative levels of welding fume exposures based on welding particulate mass and Mn concentrations repo...

  1. Uncertainties in Steric Sea Level Change Estimation During the Satellite Altimeter Era: Concepts and Practices

    Science.gov (United States)

    MacIntosh, C. R.; Merchant, C. J.; von Schuckmann, K.

    2017-01-01

    This article presents a review of current practice in estimating steric sea level change, focussed on the treatment of uncertainty. Steric sea level change is the contribution to the change in sea level arising from the dependence of density on temperature and salinity. It is a significant component of sea level rise and a reflection of changing ocean heat content. However, tracking these steric changes still remains a significant challenge for the scientific community. We review the importance of understanding the uncertainty in estimates of steric sea level change. Relevant concepts of uncertainty are discussed and illustrated with the example of observational uncertainty propagation from a single profile of temperature and salinity measurements to steric height. We summarise and discuss the recent literature on methodologies and techniques used to estimate steric sea level in the context of the treatment of uncertainty. Our conclusions are that progress in quantifying steric sea level uncertainty will benefit from: greater clarity and transparency in published discussions of uncertainty, including exploitation of international standards for quantifying and expressing uncertainty in measurement; and the development of community "recipes" for quantifying the error covariances in observations and from sparse sampling and for estimating and propagating uncertainty across spatio-temporal scales.

  2. Advancing Payment Reform at the Community Level.

    Science.gov (United States)

    McHugh, Megan; Shaw, Bethany; Wolf, Laura; Bleser, William; Duckett, Philethea

    2016-01-01

    Multistakeholder alliances-groups of payers, purchasers, providers, and consumers that voluntarily work together to address local health goals-have increasingly been used to improve health care quality within their communities. Under the Robert Wood Johnson Foundation's Aligning Forces for Quality (AF4Q) initiative, 16 multistakeholder alliances were charged with advancing payment reform as part of a larger effort to achieve dramatic and sustainable quality improvement. Drawing upon key informant interviews with alliance leaders and document reviews conducted from 2010 to 2014, we describe the payment reform projects undertaken by the AF4Q alliances and the roles that the alliances played to advance them. The most common types of projects pursued by alliances were those that introduced supplemental payments to fee-for-service reimbursement and built upon alliances' ongoing quality improvement initiatives. Alliances advanced payment reform through 4 roles: (1) educating and advocating, (2) designing payment reform projects, (3) recruiting participants, and (4) supporting the operation of projects. However, less than half of alliances' payment reform projects were operational by 2014. Quality improvement-focused multistakeholder alliances may play meaningful roles to advance payment reform, but they are not a panacea for overcoming well-documented barriers to reform.

  3. SEK: sparsity exploiting k-mer-based estimation of bacterial community composition.

    Science.gov (United States)

    Chatterjee, Saikat; Koslicki, David; Dong, Siyuan; Innocenti, Nicolas; Cheng, Lu; Lan, Yueheng; Vehkaperä, Mikko; Skoglund, Mikael; Rasmussen, Lars K; Aurell, Erik; Corander, Jukka

    2014-09-01

    Estimation of bacterial community composition from a high-throughput sequenced sample is an important task in metagenomics applications. As the sample sequence data typically harbors reads of variable lengths and different levels of biological and technical noise, accurate statistical analysis of such data is challenging. Currently popular estimation methods are typically time-consuming in a desktop computing environment. Using sparsity enforcing methods from the general sparse signal processing field (such as compressed sensing), we derive a solution to the community composition estimation problem by a simultaneous assignment of all sample reads to a pre-processed reference database. A general statistical model based on kernel density estimation techniques is introduced for the assignment task, and the model solution is obtained using convex optimization tools. Further, we design a greedy algorithm solution for a fast solution. Our approach offers a reasonably fast community composition estimation method, which is shown to be more robust to input data variation than a recently introduced related method. A platform-independent Matlab implementation of the method is freely available at http://www.ee.kth.se/ctsoftware; source code that does not require access to Matlab is currently being tested and will be made available later through the above Web site. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  4. Sensor Data Security Level Estimation Scheme for Wireless Sensor Networks

    Science.gov (United States)

    Ramos, Alex; Filho, Raimir Holanda

    2015-01-01

    Due to their increasing dissemination, wireless sensor networks (WSNs) have become the target of more and more sophisticated attacks, even capable of circumventing both attack detection and prevention mechanisms. This may cause WSN users, who totally trust these security mechanisms, to think that a sensor reading is secure, even when an adversary has corrupted it. For that reason, a scheme capable of estimating the security level (SL) that these mechanisms provide to sensor data is needed, so that users can be aware of the actual security state of this data and can make better decisions on its use. However, existing security estimation schemes proposed for WSNs fully ignore detection mechanisms and analyze solely the security provided by prevention mechanisms. In this context, this work presents the sensor data security estimator (SDSE), a new comprehensive security estimation scheme for WSNs. SDSE is designed for estimating the sensor data security level based on security metrics that analyze both attack prevention and detection mechanisms. In order to validate our proposed scheme, we have carried out extensive simulations that show the high accuracy of SDSE estimates. PMID:25608215

  5. Sensor Data Security Level Estimation Scheme for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Alex Ramos

    2015-01-01

    Full Text Available Due to their increasing dissemination, wireless sensor networks (WSNs have become the target of more and more sophisticated attacks, even capable of circumventing both attack detection and prevention mechanisms. This may cause WSN users, who totally trust these security mechanisms, to think that a sensor reading is secure, even when an adversary has corrupted it. For that reason, a scheme capable of estimating the security level (SL that these mechanisms provide to sensor data is needed, so that users can be aware of the actual security state of this data and can make better decisions on its use. However, existing security estimation schemes proposed for WSNs fully ignore detection mechanisms and analyze solely the security provided by prevention mechanisms. In this context, this work presents the sensor data security estimator (SDSE, a new comprehensive security estimation scheme for WSNs. SDSE is designed for estimating the sensor data security level based on security metrics that analyze both attack prevention and detection mechanisms. In order to validate our proposed scheme, we have carried out extensive simulations that show the high accuracy of SDSE estimates.

  6. Sensor data security level estimation scheme for wireless sensor networks.

    Science.gov (United States)

    Ramos, Alex; Filho, Raimir Holanda

    2015-01-19

    Due to their increasing dissemination, wireless sensor networks (WSNs) have become the target of more and more sophisticated attacks, even capable of circumventing both attack detection and prevention mechanisms. This may cause WSN users, who totally trust these security mechanisms, to think that a sensor reading is secure, even when an adversary has corrupted it. For that reason, a scheme capable of estimating the security level (SL) that these mechanisms provide to sensor data is needed, so that users can be aware of the actual security state of this data and can make better decisions on its use. However, existing security estimation schemes proposed for WSNs fully ignore detection mechanisms and analyze solely the security provided by prevention mechanisms. In this context, this work presents the sensor data security estimator (SDSE), a new comprehensive security estimation scheme for WSNs. SDSE is designed for estimating the sensor data security level based on security metrics that analyze both attack prevention and detection mechanisms. In order to validate our proposed scheme, we have carried out extensive simulations that show the high accuracy of SDSE estimates.

  7. Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo

    Directory of Open Access Journals (Sweden)

    Yufei Liu

    2017-01-01

    Full Text Available Social influence analysis is important for many social network applications, including recommendation and cybersecurity analysis. We observe that the influence of community including multiple users outweighs the individual influence. Existing models focus on the individual influence analysis, but few studies estimate the community influence that is ubiquitous in online social network. A major challenge lies in that researchers need to take into account many factors, such as user influence, social trust, and user relationship, to model community-level influence. In this paper, aiming to assess the community-level influence effectively and accurately, we formulate the problem of modeling community influence and construct a community-level influence analysis model. It first eliminates the zombie fans and then calculates the user influence. Next, it calculates the user final influence by combining the user influence and the willingness of diffusing theme information. Finally, it evaluates the community influence by comprehensively studying the user final influence, social trust, and relationship tightness between intrausers of communities. To handle real-world applications, we propose a community-level influence analysis algorithm called CIAA. Empirical studies on a real-world dataset from Sina Weibo demonstrate the superiority of the proposed model.

  8. Community, social group, and individual level correlates of rural ...

    African Journals Online (AJOL)

    Community, social group, and individual level correlates of rural Malawian men's and women's reproductive health intentions and practices. Valerie A Paz-Soldan, Thomas Bisika, Joseph deGraft-Johnson, Amy O Tsui ...

  9. Estimates of the Economic Effects of Sea Level Rise

    International Nuclear Information System (INIS)

    Darwin, R.F.; Tol, R.S.J.

    2001-01-01

    Regional estimates of direct cost (DC) are commonly used to measure the economic damages of sea level rise. Such estimates suffer from three limitations: (1) values of threatened endowments are not well known, (2) loss of endowments does not affect consumer prices, and (3) international trade is disregarded. Results in this paper indicate that these limitations can significantly affect economic assessments of sea level rise. Current uncertainty regarding endowment values (as reflected in two alternative data sets), for example, leads to a 17 percent difference in coastal protection, a 36 percent difference in the amount of land protected, and a 36 percent difference in DC globally. Also, global losses in equivalent variation (EV), a welfare measure that accounts for price changes, are 13 percent higher than DC estimates. Regional EV losses may be up to 10 percent lower than regional DC, however, because international trade tends to redistribute losses from regions with relatively high damages to regions with relatively low damages. 43 refs

  10. Estimation of farm level technical efficiency and its determinants ...

    African Journals Online (AJOL)

    With the difficulties encountered by the farmers in adopting improved technologies, increasing resource use efficiency has become a very significant factor in increasing productivity. Therefore, this study was designed to estimate the farm level technical efficiency and its determinants among male and female sweet potato ...

  11. Reconciling Estimates of Earnings Processes in Growth Rates and Levels

    DEFF Research Database (Denmark)

    Daly, Moira; Hryshko, Dmytro; Manovskii, Iourii

    magnitudes of the permanent and transitory innovations in earnings. When estimation is based on the earnings moments in levels, the variance of transitory shocks is found to be relatively high. When the moments in differences are used, the variance of the permanent component is relatively high instead. We...

  12. estimation of farm level technical efficiency and its determinants ...

    African Journals Online (AJOL)

    Eyerusalem

    Jude Nwaru and Patrick Ndukwu: Estimation of farm level technical efficiency and … 102 females and 56 males) was chosen for a detailed study. The researchers, supported by some trained enumerators, visited the farmers forth nightly (using the cost-route approach) in the 2009 cropping season to collect pieces.

  13. Estimation of zinc levels among children with malnutrition at ...

    African Journals Online (AJOL)

    Estimation of zinc levels among children with malnutrition at Usmanu Danfodiyo University Teaching Hospital, Sokoto, Northwestern Nigeria. Asma'u Adamu, Mohammed N. Jiya, Hamidu Ahmed, Paul K. Ibitoye, Modupe O. Ugege, Usman M. Sani, Tahir Yusuf, Fatima B. Jiya, Khadijat O. Isezuo ...

  14. State-level estimates of cancer-related absenteeism costs.

    Science.gov (United States)

    Tangka, Florence K; Trogdon, Justin G; Nwaise, Isaac; Ekwueme, Donatus U; Guy, Gery P; Orenstein, Diane

    2013-09-01

    Cancer is one of the top five most costly diseases in the United States and leads to substantial work loss. Nevertheless, limited state-level estimates of cancer absenteeism costs have been published. In analyses of data from the 2004-2008 Medical Expenditure Panel Survey, the 2004 National Nursing Home Survey, the U.S. Census Bureau for 2008, and the 2009 Current Population Survey, we used regression modeling to estimate annual state-level absenteeism costs attributable to cancer from 2004 to 2008. We estimated that the state-level median number of days of absenteeism per year among employed cancer patients was 6.1 days and that annual state-level cancer absenteeism costs ranged from $14.9 million to $915.9 million (median = $115.9 million) across states in 2010 dollars. Absenteeism costs are approximately 6.5% of the costs of premature cancer mortality. The results from this study suggest that lost productivity attributable to cancer is a substantial cost to employees and employers and contributes to estimates of the overall impact of cancer in a state population.

  15. Community Vitality: The Role of Community-Level Resilience Adaptation and Innovation in Sustainable Development

    Directory of Open Access Journals (Sweden)

    Lenore Newman

    2010-01-01

    Full Text Available Community level action towards sustainable development has emerged as a key scale of intervention in the effort to address our many serious environmental issues. This is hindered by the large-scale destruction of both urban neighbourhoods and rural villages in the second half of the twentieth century. Communities, whether they are small or large, hubs of experimentation or loci of traditional techniques and methods, can be said to have a level of community vitality that acts as a site of resilience, adaptation and innovation in the face of environmental challenges. This paper outlines how community vitality acts as a cornerstone of sustainable development and suggests some courses for future research. A meta-case analysis of thirty-five Canadian communities reveals the characteristics of community vitality emerging from sustainable development experiments and its relationship to resilience, applied specifically to community development.

  16. System Level Modelling and Performance Estimation of Embedded Systems

    DEFF Research Database (Denmark)

    Tranberg-Hansen, Anders Sejer

    The advances seen in the semiconductor industry within the last decade have brought the possibility of integrating evermore functionality onto a single chip forming functionally highly advanced embedded systems. These integration possibilities also imply that as the design complexity increases, so...... an efficient system level design methodology, a modelling framework for performance estimation and design space exploration at the system level is required. This thesis presents a novel component based modelling framework for system level modelling and performance estimation of embedded systems. The framework...... is performed by having the framework produce detailed quantitative information about the system model under investigation. The project is part of the national Danish research project, Danish Network of Embedded Systems (DaNES), which is funded by the Danish National Advanced Technology Foundation. The project...

  17. Community Characteristics are Associated with Blood Pressure Levels in a Racially Integrated Community.

    Science.gov (United States)

    Samuel, L J; Thorpe, R J; Bower, K M; LaVeist, T A

    2015-06-01

    Community problems have been associated with higher, and community resources and social cohesion with lower, blood pressure. However, prior studies have not accounted for potential confounding by residential racial segregation. This study tested associations between community characteristics and blood pressure levels and prevalent hypertension in a racially integrated community. The Exploring Health Disparities in Integrated Communities Study measured blood pressure in residents of two contiguous racially integrated and low-income US Census Tracts. Community characteristics included a standardized community problem score and binary indicators for community social cohesion, having a community leader available, and having at least one community resource observed on the participant's block. In adjusted models, greater community problems and proximity to resources were associated with lower systolic (β = -2.020, p = 0.028; β = -4.132, p = 0.010) and diastolic (β = -1.261, p = 0.038; β = -2.290, 0.031) blood pressure, respectively, among whites (n = 548). Social cohesion was associated with higher systolic (β = 4.905, p = 0.009) and diastolic blood pressure (β = 3.379, p = 0.008) among African Americans (n = 777). In one racially integrated low-income community, community characteristics were associated with blood pressure levels, and associations differed by race. Directions of associations for two findings differed from prior studies; greater community problem was associated with lower blood pressure in whites and community social cohesion was associated with higher blood pressure in African Americans. These findings may be due to exposure to adverse environmental conditions and hypertensive risk factors in this low-income community.

  18. Estimating literacy levels at a detailed regional level: An application using Dutch data

    NARCIS (Netherlands)

    Bijlsma, Ineke; van den Brakel, Jan; van der Velden, Rolf; Allen, James

    2017-01-01

    Policy measures to combat low literacy are often targeted at the level of municipalities or regions with an above-average population with low literacy levels. However, current surveys on literacy do not contain enough respondents at this level to allow for reliable estimates, at least when using

  19. Estimating Price Elasticity using Market-Level Appliance Data

    Energy Technology Data Exchange (ETDEWEB)

    Fujita, K. Sydny [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2015-08-04

    This report provides and update to and expansion upon our 2008 LBNL report “An Analysis of the Price Elasticity of Demand for Appliances,” in which we estimated an average relative price elasticity of -0.34 for major household appliances (Dale and Fujita 2008). Consumer responsiveness to price change is a key component of energy efficiency policy analysis; these policies influence consumer purchases through price both explicitly and implicitly. However, few studies address appliance demand elasticity in the U.S. market and public data sources are generally insufficient for rigorous estimation. Therefore, analysts have relied on a small set of outdated papers focused on limited appliance types, assuming long-term elasticities estimated for other durables (e.g., vehicles) decades ago are applicable to current and future appliance purchasing behavior. We aim to partially rectify this problem in the context of appliance efficiency standards by revisiting our previous analysis, utilizing data released over the last ten years and identifying additional estimates of durable goods price elasticities in the literature. Reviewing the literature, we find the following ranges of market-level price elasticities: -0.14 to -0.42 for appliances; -0.30 to -1.28 for automobiles; -0.47 to -2.55 for other durable goods. Brand price elasticities are substantially higher for these product groups, with most estimates -2.0 or more elastic. Using market-level shipments, sales value, and efficiency level data for 1989-2009, we run various iterations of a log-log regression model, arriving at a recommended range of short run appliance price elasticity between -0.4 and -0.5, with a default value of -0.45.

  20. Caffeine in teas: levels, transference to infusion and estimated intake

    OpenAIRE

    TFOUNI, Silvia Amelia Verdiani; CAMARA, Maíra Marcuci; KAMIKATA, Kamille; GOMES, Fernanda Moralez Leme; FURLANI, Regina Prado Zanes

    2018-01-01

    Abstract Caffeine is naturally present in several foods, being one of the most consumed dietary ingredients in the world; however, excessive intake may cause health concerns. This study evaluated caffeine levels in teas and their infusions, the transference rate during brewing, and estimated caffeine intake from tea infusion. Brands and batches of 4 types of teas were analyzed for caffeine content by high performance liquid chromatography with a diode array detector. Mate tea was the one that...

  1. Estimation of rod scale errors in geodetic leveling

    Science.gov (United States)

    Craymer, Michael R.; Vaníček, Petr; Castle, Robert O.

    1995-01-01

    Comparisons among repeated geodetic levelings have often been used for detecting and estimating residual rod scale errors in leveled heights. Individual rod-pair scale errors are estimated by a two-step procedure using a model based on either differences in heights, differences in section height differences, or differences in section tilts. It is shown that the estimated rod-pair scale errors derived from each model are identical only when the data are correctly weighted, and the mathematical correlations are accounted for in the model based on heights. Analyses based on simple regressions of changes in height versus height can easily lead to incorrect conclusions. We also show that the statistically estimated scale errors are not a simple function of height, height difference, or tilt. The models are valid only when terrain slope is constant over adjacent pairs of setups (i.e., smoothly varying terrain). In order to discriminate between rod scale errors and vertical displacements due to crustal motion, the individual rod-pairs should be used in more than one leveling, preferably in areas of contrasting tectonic activity. From an analysis of 37 separately calibrated rod-pairs used in 55 levelings in southern California, we found eight statistically significant coefficients that could be reasonably attributed to rod scale errors, only one of which was larger than the expected random error in the applied calibration-based scale correction. However, significant differences with other independent checks indicate that caution should be exercised before accepting these results as evidence of scale error. Further refinements of the technique are clearly needed if the results are to be routinely applied in practice.

  2. Identification of overlapping communities and their hierarchy by locally calculating community-changing resolution levels

    International Nuclear Information System (INIS)

    Havemann, Frank; Heinz, Michael; Struck, Alexander; Gläser, Jochen

    2011-01-01

    We propose a new local, deterministic and parameter-free algorithm that detects fuzzy and crisp overlapping communities in a weighted network and simultaneously reveals their hierarchy. Using a local fitness function, the algorithm greedily expands natural communities of seeds until the whole graph is covered. The hierarchy of communities is obtained analytically by calculating resolution levels at which communities grow rather than numerically by testing different resolution levels. This analytic procedure is not only more exact than its numerical alternatives such as LFM and GCE but also much faster. Critical resolution levels can be identified by searching for intervals in which large changes of the resolution do not lead to growth of communities. We tested our algorithm on benchmark graphs and on a network of 492 papers in information science. Combined with a specific post-processing, the algorithm gives much more precise results on LFR benchmarks with high overlap compared to other algorithms and performs very similarly to GCE

  3. Probabilistic Graphical Framework for Estimating Collaboration Levels in Cloud Manufacturing

    Directory of Open Access Journals (Sweden)

    Gilseung Ahn

    2017-02-01

    Full Text Available Cloud manufacturing (CM is an emerging manufacturing model based on collaboration among manufacturing enterprises in a cloud computing environment. Naturally, collaboration is one of main factors that impacts performance in a variety of ways such as quality, lead time, and cost. Therefore, collaboration levels should be considered when solving operational issues in CM. However, there has been no attempt to estimate these levels between enterprises participating in CM. The collaboration level among enterprises in CM is defined as the ability to produce a manufacturing service that satisfies a customer by means of collaborative production amongst enterprises. We measure it as the conditional probability that collaborative performances are high given collaborative performance factors (e.g., resource sharing, information sharing, etc.. In this paper, we propose a framework for estimating collaboration levels. We adopt a probabilistic graphical model (PGM to develop the framework, since the framework includes a lot of random variables and complex dependencies among them. The framework yields conditional probabilities that two enterprises will reduce the total cost, improve resource utilization or quality through collaboration between them given each enterprise’s features, collaboration possibility, and collaboration activities. The collaboration levels the proposed framework yields will help to handle diverse operational problems in CM.

  4. Quantifying human response capabilities towards tsunami threats at community level

    Science.gov (United States)

    Post, J.; Mück, M.; Zosseder, K.; Wegscheider, S.; Taubenböck, H.; Strunz, G.; Muhari, A.; Anwar, H. Z.; Birkmann, J.; Gebert, N.

    2009-04-01

    Decision makers at the community level need detailed information on tsunami risks in their area. Knowledge on potential hazard impact, exposed elements such as people, critical facilities and lifelines, people's coping capacity and recovery potential are crucial to plan precautionary measures for adaptation and to mitigate potential impacts of tsunamis on society and the environment. A crucial point within a people-centred tsunami risk assessment is to quantify the human response capabilities towards tsunami threats. Based on this quantification and spatial representation in maps tsunami affected and safe areas, difficult-to-evacuate areas, evacuation target points and evacuation routes can be assigned and used as an important contribution to e.g. community level evacuation planning. Major component in the quantification of human response capabilities towards tsunami impacts is the factor time. The human response capabilities depend on the estimated time of arrival (ETA) of a tsunami, the time until technical or natural warning signs (ToNW) can be received, the reaction time (RT) of the population (human understanding of a tsunami warning and the decision to take appropriate action), the evacuation time (ET, time people need to reach a safe area) and the actual available response time (RsT = ETA - ToNW - RT). If RsT is larger than ET, people in the respective areas are able to reach a safe area and rescue themselves. Critical areas possess RsT values equal or even smaller ET and hence people whin these areas will be directly affected by a tsunami. Quantifying the factor time is challenging and an attempt to this is presented here. The ETA can be derived by analyzing pre-computed tsunami scenarios for a respective area. For ToNW we assume that the early warning center is able to fulfil the Indonesian presidential decree to issue a warning within 5 minutes. RT is difficult as here human intrinsic factors as educational level, believe, tsunami knowledge and experience

  5. Caffeine in teas: levels, transference to infusion and estimated intake

    Directory of Open Access Journals (Sweden)

    Silvia Amelia Verdiani TFOUNI

    2018-01-01

    Full Text Available Abstract Caffeine is naturally present in several foods, being one of the most consumed dietary ingredients in the world; however, excessive intake may cause health concerns. This study evaluated caffeine levels in teas and their infusions, the transference rate during brewing, and estimated caffeine intake from tea infusion. Brands and batches of 4 types of teas were analyzed for caffeine content by high performance liquid chromatography with a diode array detector. Mate tea was the one that presented lowest levels (6.1 to 13.2 mg/g while Camellia sinensis teas were from 14.3 to 34.8 mg/g. There were statistical differences between different types, brands and batches. Caffeine levels in infusions followed the same pattern of the leaves, with mate tea presenting lowest levels. Caffeine percentage of transference from leaves to infusion varied from 51.5 to 85.2%. Caffeine intake was estimated to be up to 191.4 mg/day. Tea may be considered an important source of caffeine intake for heavy tea drinkers.

  6. Estimation of plant diversity at landscape level: a methodological approach applied to three Spanish rural areas.

    Science.gov (United States)

    Ortega, M; Elena-Roselló, R; García del Barrio, J M

    2004-07-01

    Approaches linking biodiversity assessment with landscape structure are necessary in the framework of sustainable rural development. The present paper describes a methodology to estimate plant diversity involving landscape structure as a proportional weight associated with different plant communities found in the landscape mosaic. The area occupied by a plant community, its patch number or its spatial distribution of patches are variables that could be expressed in gamma plant diversity of a territory. The methodology applies (1) remote sensing information, to identify land cover and land use types; (2) aspect, to discriminate composition of plant communities in each land cover type; (3) multi-scale field techniques, to asses plant diversity; (4) affinity analysis of plant community composition, to validate the stratified random sampling design and (5) the additive model that partitions gamma diversity into its alpha and beta components. The method was applied to three Spanish rural areas and was able to record 150-260 species per ha. Species richness, Shannon information index and Simpson concentration index were used to measure diversity in each area. The estimation using Shannon diversity index and the product of patch number and patch interspersion as weighting of plant community diversity was found to be the most appropriate method of measuring plant diversity at the landscape level.

  7. Community-level prejudice and mortality among immigrant groups.

    Science.gov (United States)

    Morey, Brittany N; Gee, Gilbert C; Muennig, Peter; Hatzenbuehler, Mark L

    2018-02-01

    This study assesses whether anti-immigrant prejudice at the community level is prospectively associated with mortality. We used 10 waves of data from the General Social Survey (GSS) that were linked to mortality data via the National Death Index (NDI) for the period between 1993 and 2014 (n = 13,242). The 2014 GSS-NDI dataset is a nationally representative sample reporting social characteristics and attitudes in the United States that was prospectively linked to mortality data. Community-level prejudice was measured with 5 questions regarding anti-immigrant sentiments across 123 communities, defined using primary sampling units. Cox proportional hazards models tested the association between anti-immigrant prejudice and mortality hazard, controlling for covariates at the individual and community levels. Findings showed that among "other race" respondents, those born in the US had higher risk of mortality in communities with greater anti-immigrant prejudice, whereas foreign-born "other race" respondents had lower risk of mortality in communities with greater anti-immigrant prejudice. Sensitivity analyses indicated that the "other race" category was comprised largely of Asians and Hispanics, and that these results were similar for both groups. In contrast, anti-immigrant prejudice was not associated with mortality for foreign-born immigrants who self-report as white or black. We provide various hypotheses for why US-born immigrant groups seem to suffer higher mortality risk, while foreign-born immigrant groups do not, when they live in communities with high levels of prejudice. Copyright © 2017 Elsevier Ltd. All rights reserved.

  8. Training Methods for Image Noise Level Estimation on Wavelet Components

    Directory of Open Access Journals (Sweden)

    A. De Stefano

    2004-12-01

    Full Text Available The estimation of the standard deviation of noise contaminating an image is a fundamental step in wavelet-based noise reduction techniques. The method widely used is based on the mean absolute deviation (MAD. This model-based method assumes specific characteristics of the noise-contaminated image component. Three novel and alternative methods for estimating the noise standard deviation are proposed in this work and compared with the MAD method. Two of these methods rely on a preliminary training stage in order to extract parameters which are then used in the application stage. The sets used for training and testing, 13 and 5 images, respectively, are fully disjoint. The third method assumes specific statistical distributions for image and noise components. Results showed the prevalence of the training-based methods for the images and the range of noise levels considered.

  9. Linking the levels: network and relational perspectives for community psychology.

    Science.gov (United States)

    Neal, Jennifer Watling; Christens, Brian D

    2014-06-01

    In this article, we assert that relationships and networks are of paramount importance for understanding and improving settings, neighborhoods, communities, and larger social systems. Despite previous acknowledgements of their relevance, relational and social network perspectives and analyses remain underrepresented in community psychological research and action. Here, we claim that network and relational perspectives can provide conceptual and empirical 'links' between levels of analysis, more fully reflecting a transactional view. We also describe some of the sophisticated methodologies that can be employed in empirical studies drawing on these perspectives. Additionally, we contend that core concepts in community psychology such as health promotion, empowerment, coalition building, and dissemination and implementation can be better understood when employing relational and network perspectives. As an introduction to this special issue of American Journal of Community Psychology, we draw out themes and key points from the articles in the issue, and offer recommendations for future advancement of these perspectives in the field.

  10. ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition.

    Science.gov (United States)

    Koslicki, David; Chatterjee, Saikat; Shahrivar, Damon; Walker, Alan W; Francis, Suzanna C; Fraser, Louise J; Vehkaperä, Mikko; Lan, Yueheng; Corander, Jukka

    2015-01-01

    Estimation of bacterial community composition from high-throughput sequenced 16S rRNA gene amplicons is a key task in microbial ecology. Since the sequence data from each sample typically consist of a large number of reads and are adversely impacted by different levels of biological and technical noise, accurate analysis of such large datasets is challenging. There has been a recent surge of interest in using compressed sensing inspired and convex-optimization based methods to solve the estimation problem for bacterial community composition. These methods typically rely on summarizing the sequence data by frequencies of low-order k-mers and matching this information statistically with a taxonomically structured database. Here we show that the accuracy of the resulting community composition estimates can be substantially improved by aggregating the reads from a sample with an unsupervised machine learning approach prior to the estimation phase. The aggregation of reads is a pre-processing approach where we use a standard K-means clustering algorithm that partitions a large set of reads into subsets with reasonable computational cost to provide several vectors of first order statistics instead of only single statistical summarization in terms of k-mer frequencies. The output of the clustering is then processed further to obtain the final estimate for each sample. The resulting method is called Aggregation of Reads by K-means (ARK), and it is based on a statistical argument via mixture density formulation. ARK is found to improve the fidelity and robustness of several recently introduced methods, with only a modest increase in computational complexity. An open source, platform-independent implementation of the method in the Julia programming language is freely available at https://github.com/dkoslicki/ARK. A Matlab implementation is available at http://www.ee.kth.se/ctsoftware.

  11. ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition.

    Directory of Open Access Journals (Sweden)

    David Koslicki

    Full Text Available Estimation of bacterial community composition from high-throughput sequenced 16S rRNA gene amplicons is a key task in microbial ecology. Since the sequence data from each sample typically consist of a large number of reads and are adversely impacted by different levels of biological and technical noise, accurate analysis of such large datasets is challenging.There has been a recent surge of interest in using compressed sensing inspired and convex-optimization based methods to solve the estimation problem for bacterial community composition. These methods typically rely on summarizing the sequence data by frequencies of low-order k-mers and matching this information statistically with a taxonomically structured database. Here we show that the accuracy of the resulting community composition estimates can be substantially improved by aggregating the reads from a sample with an unsupervised machine learning approach prior to the estimation phase. The aggregation of reads is a pre-processing approach where we use a standard K-means clustering algorithm that partitions a large set of reads into subsets with reasonable computational cost to provide several vectors of first order statistics instead of only single statistical summarization in terms of k-mer frequencies. The output of the clustering is then processed further to obtain the final estimate for each sample. The resulting method is called Aggregation of Reads by K-means (ARK, and it is based on a statistical argument via mixture density formulation. ARK is found to improve the fidelity and robustness of several recently introduced methods, with only a modest increase in computational complexity.An open source, platform-independent implementation of the method in the Julia programming language is freely available at https://github.com/dkoslicki/ARK. A Matlab implementation is available at http://www.ee.kth.se/ctsoftware.

  12. Illicit drugs in Canadian municipal wastewater and estimates of community drug use

    Energy Technology Data Exchange (ETDEWEB)

    Metcalfe, Chris, E-mail: cmetcalfe@trentu.c [Worsfold Water Quality Centre, Trent University, 1600 West Bank Drive Peterborough, ON, K9J 7B8 (Canada); Tindale, Kathryn [Worsfold Water Quality Centre, Trent University, 1600 West Bank Drive Peterborough, ON, K9J 7B8 (Canada); Li, Hongxia, E-mail: lihongxia@trentu.c [Worsfold Water Quality Centre, Trent University, 1600 West Bank Drive Peterborough, ON, K9J 7B8 (Canada); Rodayan, Angela [Department of Chemical Engineering, McGill University, 3610 University St., Montreal, QC, H3A 2B2 (Canada); Yargeau, Viviane, E-mail: viviane.yargeau@mcgill.c [Department of Chemical Engineering, McGill University, 3610 University St., Montreal, QC, H3A 2B2 (Canada)

    2010-10-15

    In this study of wastewater treatment plants in three Canadian cities, selected illicit drugs, including cocaine and its major metabolite, benzoylecgonine (BE), amphetamine, methamphetamine and ecstasy (i.e. MDMA) were detected in untreated wastewater. Cocaine was the most widely used illicit drug at a median level for the 3 cities of 15.7 doses per day per 1000 people. For the other drugs, the median doses per day per 1000 people were 1.8 for amphetamine, 4.5 for methamphetamine and 0.4 for ecstasy. Methamphetamine use was highest in the largest city and cocaine use was lowest in the smallest city. Removal of the illicit drugs by wastewater treatment was generally >50%, except in a WWTP that uses primary treatment. The community consumption estimate for ecstasy in the present study is far below published estimates of the prevalence of ecstasy use among the Canadian population, which may be due to only occasional use of ecstasy. - Cocaine and amphetamines were detected in untreated and treated sewage in the wastewater treatment plants of three Canadian cities, and community consumption patterns estimated from the concentrations of the drugs in untreated wastewater were consistent with estimates of the use of illicit drugs in Canada.

  13. Illicit drugs in Canadian municipal wastewater and estimates of community drug use

    International Nuclear Information System (INIS)

    Metcalfe, Chris; Tindale, Kathryn; Li, Hongxia; Rodayan, Angela; Yargeau, Viviane

    2010-01-01

    In this study of wastewater treatment plants in three Canadian cities, selected illicit drugs, including cocaine and its major metabolite, benzoylecgonine (BE), amphetamine, methamphetamine and ecstasy (i.e. MDMA) were detected in untreated wastewater. Cocaine was the most widely used illicit drug at a median level for the 3 cities of 15.7 doses per day per 1000 people. For the other drugs, the median doses per day per 1000 people were 1.8 for amphetamine, 4.5 for methamphetamine and 0.4 for ecstasy. Methamphetamine use was highest in the largest city and cocaine use was lowest in the smallest city. Removal of the illicit drugs by wastewater treatment was generally >50%, except in a WWTP that uses primary treatment. The community consumption estimate for ecstasy in the present study is far below published estimates of the prevalence of ecstasy use among the Canadian population, which may be due to only occasional use of ecstasy. - Cocaine and amphetamines were detected in untreated and treated sewage in the wastewater treatment plants of three Canadian cities, and community consumption patterns estimated from the concentrations of the drugs in untreated wastewater were consistent with estimates of the use of illicit drugs in Canada.

  14. Community-level and individual-level influences of intimate partner violence on birth spacing in sub-Saharan Africa.

    Science.gov (United States)

    Hung, Kristin J; Scott, Jennifer; Ricciotti, Hope A; Johnson, Timothy R; Tsai, Alexander C

    2012-05-01

    To estimate the extent to which intimate partner violence (IPV), at the levels of the individual and the community, is associated with shortened interbirth intervals among women in sub-Saharan Africa. We analyzed demographic and health survey data from 11 countries in sub-Saharan Africa. Only multiparous women were included in the analysis. Interbirth interval was the primary outcome. Personal history of IPV was measured using a modified Conflict Tactics Scale. Community prevalence of IPV was measured as the proportion of women in each village reporting a personal history of IPV. We used multilevel modeling to account for the hierarchical structure of the data, allowing us to partition the variation in birth intervals to the four different levels (births, individuals, villages, and countries). Among the 46,697 women in the sample, 11,730 (25.1%) reported a personal history of physical violence and 4,935 (10.6%) reported a personal history of sexual violence. In the multivariable regression model, interbirth intervals were inversely associated with personal history of physical violence (regression coefficient b=-0.60, 95% confidence interval -0.91 to -0.28) and the community prevalence of physical violence (b=-1.41, 95% confidence interval -2.41 to -0.40). Estimated associations with sexual violence were of similar statistical significance and magnitude. Both personal history of IPV and the community prevalence of IPV have independent and statistically significant associations with shorter interbirth intervals. II.

  15. The Effectiveness of Distance Education across Virginia's Community Colleges: Evidence from Introductory College-Level Math and English Courses

    Science.gov (United States)

    Xu, Di; Jaggars, Shanna Smith

    2011-01-01

    Although online learning is rapidly expanding in the community college setting, there is little evidence regarding its effectiveness among community college students. In the current study, the authors used a statewide administrative data set to estimate the effects of taking one's first college-level math or English course online rather than face…

  16. A screening-level modeling approach to estimate nitrogen ...

    Science.gov (United States)

    This paper presents a screening-level modeling approach that can be used to rapidly estimate nutrient loading and assess numerical nutrient standard exceedance risk of surface waters leading to potential classification as impaired for designated use. It can also be used to explore best management practice (BMP) implementation to reduce loading. The modeling framework uses a hybrid statistical and process based approach to estimate source of pollutants, their transport and decay in the terrestrial and aquatic parts of watersheds. The framework is developed in the ArcGIS environment and is based on the total maximum daily load (TMDL) balance model. Nitrogen (N) is currently addressed in the framework, referred to as WQM-TMDL-N. Loading for each catchment includes non-point sources (NPS) and point sources (PS). NPS loading is estimated using export coefficient or event mean concentration methods depending on the temporal scales, i.e., annual or daily. Loading from atmospheric deposition is also included. The probability of a nutrient load to exceed a target load is evaluated using probabilistic risk assessment, by including the uncertainty associated with export coefficients of various land uses. The computed risk data can be visualized as spatial maps which show the load exceedance probability for all stream segments. In an application of this modeling approach to the Tippecanoe River watershed in Indiana, USA, total nitrogen (TN) loading and risk of standard exce

  17. Mercury content in Chilean fish and estimated intake levels.

    Science.gov (United States)

    Cortes, Sandra; Fortt, Antonia

    2007-09-01

    The intake of fish products is a major public health concern due to possible methyl mercury exposure, which is especially toxic to the human nervous system. This pilot study (n = 46) was designed to determine mercury concentrations in fish products for national consumption (Chilean jack mackerel, hake, Chilean mussel, tuna) and for export (salmon, Patagonian toothfish, swordfish, southern hake), and to estimate the exposure of the general population. The fish products were collected from markets in Talcahuano, Puerto Montt and Santiago. Samples were analyzed at the National Environmental Center by cold vapor atomic absorption spectrophotometry. Mercury levels in swordfish and one canned tuna sample exceeded levels prescribed by national and international standards. The remaining two export products (Patagonian toothfish, also known as Chilean sea bass, and salmon) complied with international limits, which are more demanding than Chilean regulations. Theoretical estimates of mercury intake varied from 0.08 to 3.8 microg kg(-1) bw day(-1) for high fish consumers, exceeding the provisional tolerable intake for tuna, Chilean seabass, Chilean jack mackerel and swordfish. This group appears to be at the greatest risk from mercury contamination among the Chilean population.

  18. Developing an objective evaluation method to estimate diabetes risk in community-based settings.

    Science.gov (United States)

    Kenya, Sonjia; He, Qing; Fullilove, Robert; Kotler, Donald P

    2011-05-01

    Exercise interventions often aim to affect abdominal obesity and glucose tolerance, two significant risk factors for type 2 diabetes. Because of limited financial and clinical resources in community and university-based environments, intervention effects are often measured with interviews or questionnaires and correlated with weight loss or body fat indicated by body bioimpedence analysis (BIA). However, self-reported assessments are subject to high levels of bias and low levels of reliability. Because obesity and body fat are correlated with diabetes at different levels in various ethnic groups, data reflecting changes in weight or fat do not necessarily indicate changes in diabetes risk. To determine how exercise interventions affect diabetes risk in community and university-based settings, improved evaluation methods are warranted. We compared a noninvasive, objective measurement technique--regional BIA--with whole-body BIA for its ability to assess abdominal obesity and predict glucose tolerance in 39 women. To determine regional BIA's utility in predicting glucose, we tested the association between the regional BIA method and blood glucose levels. Regional BIA estimates of abdominal fat area were significantly correlated (r = 0.554, P < 0.003) with fasting glucose. When waist circumference and family history of diabetes were added to abdominal fat in multiple regression models, the association with glucose increased further (r = 0.701, P < 0.001). Regional BIA estimates of abdominal fat may predict fasting glucose better than whole-body BIA as well as provide an objective assessment of changes in diabetes risk achieved through physical activity interventions in community settings.

  19. Power estimation on functional level for programmable processors

    Directory of Open Access Journals (Sweden)

    M. Schneider

    2004-01-01

    Full Text Available In diesem Beitrag werden verschiedene Ansätze zur Verlustleistungsschätzung von programmierbaren Prozessoren vorgestellt und bezüglich ihrer Übertragbarkeit auf moderne Prozessor-Architekturen wie beispielsweise Very Long Instruction Word (VLIW-Architekturen bewertet. Besonderes Augenmerk liegt hierbei auf dem Konzept der sogenannten Functional-Level Power Analysis (FLPA. Dieser Ansatz basiert auf der Einteilung der Prozessor-Architektur in funktionale Blöcke wie beispielsweise Processing-Unit, Clock-Netzwerk, interner Speicher und andere. Die Verlustleistungsaufnahme dieser Bl¨ocke wird parameterabhängig durch arithmetische Modellfunktionen beschrieben. Durch automatisierte Analyse von Assemblercodes des zu schätzenden Systems mittels eines Parsers können die Eingangsparameter wie beispielsweise der erzielte Parallelitätsgrad oder die Art des Speicherzugriffs gewonnen werden. Dieser Ansatz wird am Beispiel zweier moderner digitaler Signalprozessoren durch eine Vielzahl von Basis-Algorithmen der digitalen Signalverarbeitung evaluiert. Die ermittelten Schätzwerte für die einzelnen Algorithmen werden dabei mit physikalisch gemessenen Werten verglichen. Es ergibt sich ein sehr kleiner maximaler Schätzfehler von 3%. In this contribution different approaches for power estimation for programmable processors are presented and evaluated concerning their capability to be applied to modern digital signal processor architectures like e.g. Very Long InstructionWord (VLIW -architectures. Special emphasis will be laid on the concept of so-called Functional-Level Power Analysis (FLPA. This approach is based on the separation of the processor architecture into functional blocks like e.g. processing unit, clock network, internal memory and others. The power consumption of these blocks is described by parameter dependent arithmetic model functions. By application of a parser based automized analysis of assembler codes of the systems to be estimated

  20. Estimated lead (Pb) exposures for a population of urban community gardeners.

    Science.gov (United States)

    Spliethoff, Henry M; Mitchell, Rebecca G; Shayler, Hannah; Marquez-Bravo, Lydia G; Russell-Anelli, Jonathan; Ferenz, Gretchen; McBride, Murray

    2016-08-01

    Urban community gardens provide affordable, locally grown, healthy foods and many other benefits. However, urban garden soils can contain lead (Pb) that may pose risks to human health. To help evaluate these risks, we measured Pb concentrations in soil, vegetables, and chicken eggs from New York City community gardens, and we asked gardeners about vegetable consumption and time spent in the garden. We then estimated Pb intakes deterministically and probabilistically for adult gardeners, children who spend time in the garden, and adult (non-gardener) household members. Most central tendency Pb intakes were below provisional total tolerable intake (PTTI) levels. High contact intakes generally exceeded PTTIs. Probabilistic estimates showed approximately 40 % of children and 10 % of gardeners exceeding PTTIs. Children's exposure came primarily from dust ingestion and exposure to higher Pb soil between beds. Gardeners' Pb intakes were comparable to children's (in µg/day) but were dominated by vegetable consumption. Adult household members ate less garden-grown produce than gardeners and had the lowest Pb intakes. Our results suggest that healthy gardening practices to reduce Pb exposure in urban community gardens should focus on encouraging cultivation of lower Pb vegetables (i.e., fruits) for adult gardeners and on covering higher Pb non-bed soils accessible to young children. However, the common practice of replacement of root-zone bed soil with clean soil (e.g., in raised beds) has many benefits and should also continue to be encouraged.

  1. American Community Survey (ACS) 5-Year Estimates for Coastal Geographies

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The American Community Survey (ACS) is an ongoing statistical survey that samples a small percentage of the population every year. These data have been apportioned...

  2. Global estimates of high-level brain drain and deficit.

    Science.gov (United States)

    Ioannidis, John P A

    2004-06-01

    Brain drain, the international migration of scientists in search of better opportunities, has been a long-standing concern, but quantitative measurements are uncommon and limited to specific countries or disciplines. We need to understand brain drain at a global level and estimate the extent to which scientists born in countries with low opportunities never realize their potential. Data on 1523 of the most highly cited scientists for 1981-1999 are analyzed. Overall, 31.9% of these scientists did not reside in the country where they were born (range 18.1-54.6% across 21 different scientific fields). There was great variability across developed countries in the proportions of foreign-born resident scientists and emigrating scientists. Countries without a critical mass of native scientists lost most scientists to migration. This loss occurred in both developed and developing countries. Adjusting for population and using the U.S. as reference, the number of highly cited native-born scientists was at least 75% of the expected number in only 8 countries other than the U.S. It is estimated that approximately 94% of the expected top scientists worldwide have not been able to materialize themselves due to various adverse conditions. Scientific deficit is only likely to help perpetuate these adverse conditions.

  3. Estimating population health risk from low-level environmental radon

    International Nuclear Information System (INIS)

    Fisher, D.R.

    1980-01-01

    Although incidence of respiratory cancer is directly related to inhalation of radon and radon daughters, the magnitude of the actual risk is uncertain for members of the general population exposed for long periods to low-level concentrations. Currently, any such estimate of the risk must rely on data obtained through previous studies of underground-miner populations. Several methods of risk analysis have resulted from these studies. Since the breathing atmospheres, smoking patterns, and physiology are different between miners and the general public, overestimates of lung cancer risk to the latter may have resulted. Strong evidence exists to support the theory of synergistic action between alpha radiation and other agents, and therefore a modified relative risk model was developed to predict lung cancer risks to the general public. The model considers latent period, observation period, age dependency, and inherent risks from smoking or geographical location. A test of the model showed excellent agreement with results of the study of Czechoslovakian uranium miners, for which the necessary time factors were available. The risk model was also used to predict lung cancer incidence among residents of homes on reclaimed Florida phosphate lands, and results of this analysis indicate that over the space of many years, the increased incidence of lung cancer due to elevated radon levels may be indisgtinguishable from those due to other causes

  4. Migration and child immunization in Nigeria: individual- and community-level contexts

    Directory of Open Access Journals (Sweden)

    Antai Diddy

    2010-03-01

    Full Text Available Abstract Background Vaccine-preventable diseases are responsible for severe rates of morbidity and mortality in Africa. Despite the availability of appropriate vaccines for routine use on infants, vaccine-preventable diseases are highly endemic throughout sub-Saharan Africa. Widespread disparities in the coverage of immunization programmes persist between and within rural and urban areas, regions and communities in Nigeria. This study assessed the individual- and community-level explanatory factors associated with child immunization differentials between migrant and non-migrant groups. Methods The proportion of children that received each of the eight vaccines in the routine immunization schedule in Nigeria was estimated. Multilevel multivariable regression analysis was performed using a nationally representative sample of 6029 children from 2735 mothers aged 15-49 years and nested within 365 communities. Odds ratios with 95% confidence intervals were used to express measures of association between the characteristics. Variance partition coefficients and Wald statistic i.e. the ratio of the estimate to its standard error were used to express measures of variation. Results Individual- and community contexts are strongly associated with the likelihood of receiving full immunization among migrant groups. The likelihood of full immunization was higher for children of rural non-migrant mothers compared to children of rural-urban migrant mothers. Findings provide support for the traditional migration perspectives, and show that individual-level characteristics, such as, migrant disruption (migration itself, selectivity (demographic and socio-economic characteristics, and adaptation (health care utilization, as well as community-level characteristics (region of residence, and proportion of mothers who had hospital delivery are important in explaining the differentials in full immunization among the children. Conclusion Migration is an important

  5. PisCES: Pis(cine) Community Estimation Software

    Science.gov (United States)

    PisCES predicts a fish community for any NHD-Plus stream reach in the conterminous United States. PisCES utilizes HUC-based distributional information for over 1,000 nature and non-native species obtained from NatureServe, the USGS, and Peterson Field Guide to Freshwater Fishes o...

  6. Exploring multiple intelligences theory at a community college level

    Science.gov (United States)

    Berkemeier, Ginny Y. Hew

    The publication of "Frames of mind: The theory in practice", (Gardner, 1983) has been used by educators in a variety of ways to make teaching and learning more meaningful. However, little attention has been focused on the MI teaching and learning of science at the higher education level. Consequently, the purpose of this study was four fold. The first purpose was to investigate adult learning through Multiple Intelligence Theory (MI) at the community college level. The second purpose was to determine where there were any differences among students in their perceived MI with regard to age and gender. The third purpose was to investigate the relationship between perceived and tested MI strength with regard to science and non-science courses. The fourth purpose was to determine which MI teaching value relates best with science and non-science courses. Study participants were enrolled in science courses from a Midwestern community college, Ozarks Technical Community College (OTC). The research methodology of this research study consisted of a combination of quantitative analysis; using an inventory and qualitative analysis; through group interviews. Many positive outcomes resulted from the study in areas such as the relationships between tested MI and perceived MI, student learning in science and non-science courses, and their relationships to age and gender. This study suggested the need for a variety of education and curriculum reform that should start with students' attitudes instead of classroom instruction or methods of teaching.

  7. Estimating Worker Risk Levels Using Accident/Incident Data

    Energy Technology Data Exchange (ETDEWEB)

    Kenoyer, Judson L.; Stenner, Robert D.; Andrews, William B.; Scherpelz, Robert I.; Aaberg, Rosanne L.

    2000-09-26

    The purpose of the work described in this report was to identify methods that are currently being used in the Department of Energy (DOE) complex to identify and control hazards/risks in the workplace, evaluate them in terms of their effectiveness in reducing risk to the workers, and to develop a preliminary method that could be used to predict the relative risks to workers performing proposed tasks using some of the current methodology. This report describes some of the performance indicators (i.e., safety metrics) that are currently being used to track relative levels of workplace safety in the DOE complex, how these fit into an Integrated Safety Management (ISM) system, some strengths and weaknesses of using a statistically based set of indicators, and methods to evaluate them. Also discussed are methods used to reduce risk to the workers and some of the techniques that appear to be working in the process of establishing a condition of continuous improvement. The results of these methods will be used in future work involved with the determination of modifying factors for a more complex model. The preliminary method to predict the relative risk level to workers during an extended future time period is based on a currently used performance indicator that uses several factors tracked in the CAIRS. The relative risks for workers in a sample (but real) facility on the Hanford site are estimated for a time period of twenty years and are based on workforce predictions. This is the first step in developing a more complex model that will incorporate other modifying factors related to the workers, work environment and status of the ISM system to adjust the preliminary prediction.

  8. Economy-wide estimates of the implications of climate change: Sea level rise

    NARCIS (Netherlands)

    Bosello, F.; Roson, R.; Tol, R.S.J.

    2007-01-01

    The economy-wide implications of sea level rise in 2050 are estimated using a static computable general equilibrium model. This allows for a better estimate of the welfare effects of sea level rise than the common direct cost estimates; and for an estimate of the impact of sea level rise on

  9. Estimating the discharge for ordinary high water levels in Kansas.

    Science.gov (United States)

    2014-09-01

    The water resource design community in Kansas, including the Kansas Department of Transportation : (KDOT), is required to obtain appropriate permits for construction projects. Projects that involve stream : modification, including drainage structures...

  10. Estimating Fluoride Exposure in Rural Communities: A Case Study in Western Washington

    Science.gov (United States)

    Graves, Janessa M.; Daniell, William; James, Frank; Milgrom, Peter

    2010-01-01

    Purpose Efforts to achieve national objectives for fluoridation, such as Healthy People 2010, and water quality monitoring regulations focus on public water systems and generally overlook the 15% of U.S. households with private wells. Mandated testing of public water systems and new building sites on San Juan Island, Washington revealed naturally occurring fluoride levels up to several times the EPA Maximum Contaminant Level. This study evaluated fluoride concentrations in private wells and estimated the prevalence of dental fluorosis among children to inform local stakeholders. Methods Primary school children were examined by a dentist for dental fluorosis, parents were surveyed about fluoride exposures, and household drinking water samples were collected to measure and map fluoride concentrations. De-identified data were analyzed using chi-square and Fisher’s exact tests. Results 18.8% of examined children exhibited mild dental fluorosis, a prevalence similar to national averages. Fluoride concentrations in drinking water were 0.08 to 1.30 mg/L, below levels for health concerns, and generally (94%) below levels recommended for caries prevention. Supplemental sources of fluoride (e.g. tablets) did not account for observed fluorosis. Conclusions Results provided community stakeholders with valuable information to support decision-making regarding fluoride levels in drinking water. Previously available information suggested potential for excessive fluoride exposure, however, these study results indicated low fluoride levels were more common. The approach used in this case study suggests a simple method of assessing the scope of fluoridation needs in communities where private water sources are common, allowing for better informed decision-making with regard to future fluoridation efforts. PMID:20617156

  11. Estimation of peginesatide utilization requires patient-level data

    Directory of Open Access Journals (Sweden)

    Alex Yang

    2012-06-01

    Due to the nonlinear dose relationship between peginesatide and epoetin, facilities with similar epoetin use (<2% relative difference had up to 35% difference in estimate of peginesatide use. For accurate estimation of peginesatide utilization, it is important to base conversions on epoetin dose distribution rather than mean epoetin dose.fx1

  12. Experimental study on source efficiencies for estimating surface contamination level

    International Nuclear Information System (INIS)

    Ichiji, Takeshi; Ogino, Haruyuki

    2008-01-01

    Source efficiency was measured experimentally for various materials, such as metals, nonmetals, flooring materials, sheet materials and other materials, contaminated by alpha and beta emitter radioactive nuclides. Five nuclides, 147 Pm, 60 Co, 137 Cs, 204 Tl and 90 Sr- 90 Y, were used as the beta emitters, and one nuclide 241 Am was used as the alpha emitter. The test samples were prepared by placing drops of the radioactive standardized solutions uniformly on the various materials using an automatic quantitative dispenser system from Musashi Engineering, Inc. After placing drops of the radioactive standardized solutions, the test materials were allowed to dry for more than 12 hours in a draft chamber with a hood. The radioactivity of each test material was about 30 Bq. Beta rays or alpha rays from the test materials were measured with a 2-pi gas flow proportional counter from Aloka Co., Ltd. The source efficiencies of the metals, nonmetals and sheet materials were higher than 0.5 in the case of contamination by the 137 Cs, 204 Tl and 90 Sr- 90 Y radioactive standardized solutions, higher than 0.4 in the case of contamination by the 60 Co radioactive standardized solution, and higher than 0.25 in the case of contamination by the alpha emitter the 241 Am radioactive standardized solution. These values were higher than those given in Japanese Industrial Standards (JIS) documents. In contrast, the source efficiencies of some permeable materials were lower than those given in JIS documents, because source efficiency varies depending on whether the materials or radioactive sources are wet or dry. This study provides basic data on source efficiency, which is useful for estimating the surface contamination level of materials. (author)

  13. Radioactivity levels of basic foodstuffs and dose estimates in Sudan

    International Nuclear Information System (INIS)

    Hemada, H. E. F.

    2009-03-01

    In this work a comprehensive study was carried out for the determination of different radionuclides activities in foodstuff consumed and evaluation of dose levels in different food stuffs were collected from eight States in Sudan (cereals, vegetables, meat, fruits, milk, and fermented milk, baby milk, cans, spices, additives, others). The concentrations of different radionuclides in the food samples were determined by gamma spectrometry using an HPGe detector. Radionuclides observed include: Bi-212, Bi-214, Cs-134, Cs-137, K-40, Pb-212, Pb-214, Ra-224, Ra-226, Th-228, Ac-228, TI-208, Th-232, and U-238. The activity concentration of these radionuclides were found in the following ranges: 0.51 - 19.42 Bq/Kg, 0.47 - 12.13 Bq/kg, 0.5 - 1.29 Bq/kg, 0.001 - 3.41 Bq/kg, 19.25 -2521.82 Bq/kg, 0.08 - 6.84 Bq/kg, 0.02 - 6.87 Bq/kg, 6.08 - 32.02 Bq/kg, 0.03 - 21. 53 Bq/kg, 0.92 - 26.77 Bq/kg, 0.91 - 1200 Bq/kg, 0.14 - 2.58 Bq/Kg, 0.03 - 9.65 Bq/kg, 0.03 - 9.65 Bq/kg and 0.82 - 5.27 Bq/kg respectively. High concentrations were typically found in portulaca, the lowest concentrations were found in barley and bread additives. The annual effective dose due to the different foodstuff estimated was found to be 2.78±0.44 mSv/y and 1.18±mSv/y for age categories 7-12 y and> 17y respectively. (Author)

  14. CONE: Community Oriented Network Estimation Is a Versatile Framework for Inferring Population Structure in Large-Scale Sequencing Data.

    Science.gov (United States)

    Kuismin, Markku O; Ahlinder, Jon; Sillanpӓӓ, Mikko J

    2017-10-05

    Estimation of genetic population structure based on molecular markers is a common task in population genetics and ecology. We apply a generalized linear model with LASSO regularization to infer relationships between individuals and populations from molecular marker data. Specifically, we apply a neighborhood selection algorithm to infer population genetic structure and gene flow between populations. The resulting relationships are used to construct an individual-level population graph. Different network substructures known as communities are then dissociated from each other using a community detection algorithm. Inference of population structure using networks combines the good properties of: (i) network theory (broad collection of tools, including aesthetically pleasing visualization), (ii) principal component analysis (dimension reduction together with simple visual inspection), and (iii) model-based methods ( e.g. , ancestry coefficient estimates). We have named our process CONE (for community oriented network estimation). CONE has fewer restrictions than conventional assignment methods in that properties such as the number of subpopulations need not be fixed before the analysis and the sample may include close relatives or involve uneven sampling. Applying CONE on simulated data sets resulted in more accurate estimates of the true number of subpopulations than model-based methods, and provided comparable ancestry coefficient estimates. Inference of empirical data sets of teosinte single nucleotide polymorphism, bacterial disease outbreak, and the human genome diversity panel illustrate that population structures estimated with CONE are consistent with the earlier findings. Copyright © 2017 Kuismin et al.

  15. Estimating rates of local species extinction, colonization and turnover in animal communities

    Science.gov (United States)

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

    1998-01-01

    Species richness has been identified as a useful state variable for conservation and management purposes. Changes in richness over time provide a basis for predicting and evaluating community responses to management, to natural disturbance, and to changes in factors such as community composition (e.g., the removal of a keystone species). Probabilistic capture-recapture models have been used recently to estimate species richness from species count and presence-absence data. These models do not require the common assumption that all species are detected in sampling efforts. We extend this approach to the development of estimators useful for studying the vital rates responsible for changes in animal communities over time; rates of local species extinction, turnover, and colonization. Our approach to estimation is based on capture-recapture models for closed animal populations that permit heterogeneity in detection probabilities among the different species in the sampled community. We have developed a computer program, COMDYN, to compute many of these estimators and associated bootstrap variances. Analyses using data from the North American Breeding Bird Survey (BBS) suggested that the estimators performed reasonably well. We recommend estimators based on probabilistic modeling for future work on community responses to management efforts as well as on basic questions about community dynamics.

  16. Abundance estimation and differential testing on strain level in metagenomics data.

    Science.gov (United States)

    Fischer, Martina; Strauch, Benjamin; Renard, Bernhard Y

    2017-07-15

    Current metagenomics approaches allow analyzing the composition of microbial communities at high resolution. Important changes to the composition are known to even occur on strain level and to go hand in hand with changes in disease or ecological state. However, specific challenges arise for strain level analysis due to highly similar genome sequences present. Only a limited number of tools approach taxa abundance estimation beyond species level and there is a strong need for dedicated tools for strain resolution and differential abundance testing. We present DiTASiC ( fferential axa bundance including milarity orrection) as a novel approach for quantification and differential assessment of individual taxa in metagenomics samples. We introduce a generalized linear model for the resolution of shared read counts which cause a significant bias on strain level. Further, we capture abundance estimation uncertainties, which play a crucial role in differential abundance analysis. A novel statistical framework is built, which integrates the abundance variance and infers abundance distributions for differential testing sensitive to strain level. As a result, we obtain highly accurate abundance estimates down to sub-strain level and enable fine-grained resolution of strain clusters. We demonstrate the relevance of read ambiguity resolution and integration of abundance uncertainties for differential analysis. Accurate detections of even small changes are achieved and false-positives are significantly reduced. Superior performance is shown on latest benchmark sets of various complexities and in comparison to existing methods. DiTASiC code is freely available from https://rki_bioinformatics.gitlab.io/ditasic . renardB@rki.de. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

  17. Content validity and nursing sensitivity of community-level outcomes from the Nursing Outcomes Classification (NOC).

    Science.gov (United States)

    Head, Barbara J; Aquilino, Mary Lober; Johnson, Marion; Reed, David; Maas, Meridean; Moorhead, Sue

    2004-01-01

    To evaluate the content validity and nursing sensitivity of six community-level outcomes from the Nursing Outcomes Classification (NOC; Johnson, Maas, & Moorhead, 2000). A survey research design was used. Questionnaires were mailed to 300 public health nursing experts; 102 nurses responded. Experts evaluated between 11 and 30 indicators for each of the six outcomes for: (a) importance of the indicators for measuring the outcome, and (b) influence of nursing on the indicators. Content validity and nursing sensitivity of the outcomes were estimated with a modified Fehring technique. All outcomes were deemed important; only Community Competence had an outcome content validity score < .80. The outcome sensitivity score for Community Health: Immunity was .80; other outcome scores ranged from .62-.70. Indicator ratios for all 102 indicators met the study criterion for importance, with 87% designated as critical and 13% as supplemental. Sensitivity ratios reflected judgments that 45% of the indicators were sensitive to nursing intervention. The study provided evidence of outcome content validity and nursing sensitivity of the study outcomes; further validation research is recommended, followed by testing of the study outcomes in clinical practice. Community-level nursing-sensitive outcomes will potentially enable study of the efficacy and effectiveness of public health interventions focused on improving health of populations and communities.

  18. Estimating intraspecific genetic diversity from community DNA metabarcoding data

    Directory of Open Access Journals (Sweden)

    Vasco Elbrecht

    2018-04-01

    Full Text Available Background DNA metabarcoding is used to generate species composition data for entire communities. However, sequencing errors in high-throughput sequencing instruments are fairly common, usually requiring reads to be clustered into operational taxonomic units (OTUs, losing information on intraspecific diversity in the process. While Cytochrome c oxidase subunit I (COI haplotype information is limited in resolving intraspecific diversity it is nevertheless often useful e.g. in a phylogeographic context, helping to formulate hypotheses on taxon distribution and dispersal. Methods This study combines sequence denoising strategies, normally applied in microbial research, with additional abundance-based filtering to extract haplotype information from freshwater macroinvertebrate metabarcoding datasets. This novel approach was added to the R package “JAMP” and can be applied to COI amplicon datasets. We tested our haplotyping method by sequencing (i a single-species mock community composed of 31 individuals with 15 different haplotypes spanning three orders of magnitude in biomass and (ii 18 monitoring samples each amplified with four different primer sets and two PCR replicates. Results We detected all 15 haplotypes of the single specimens in the mock community with relaxed filtering and denoising settings. However, up to 480 additional unexpected haplotypes remained in both replicates. Rigorous filtering removes most unexpected haplotypes, but also can discard expected haplotypes mainly from the small specimens. In the monitoring samples, the different primer sets detected 177–200 OTUs, each containing an average of 2.40–3.30 haplotypes per OTU. The derived intraspecific diversity data showed population structures that were consistent between replicates and similar between primer pairs but resolution depended on the primer length. A closer look at abundant taxa in the dataset revealed various population genetic patterns, e.g. the stonefly

  19. Injury prevention behaviour in community-level soccer players.

    Science.gov (United States)

    McNoe, Bronwen M; Chalmers, David J

    2011-11-01

    To adapt and pilot test a method for undertaking routine surveillance of injury prevention behaviour in community-level soccer. Surveillance system using a cohort design. Simple random samples were drawn from the player registration databases of two soccer federations. All players aged 13 years or over who intended to play in a school or club competition during the 2006 winter season were eligible. The cohort consisted of 687 male and 193 female players. The players were contacted each week and asked about their adherence to nationally recommended injury prevention measures. No more than 20% of players completed any form of pre-season screening. Almost all players warmed-up for player-matches (97%) and player-training sessions (93%). Eighty-one percent of players undertook some form of physical conditioning on at least one occasion in the off-season. Very few players (13%) reported receiving instruction on tackling technique pre-season. Shin-guards were worn in 99% of matches. For 61% of match injury events, the injured player continued to play after the injury occurred and in 65% of these cases, the player reported that in hindsight they should not have returned to play. The results provide a baseline measure of injury prevention behaviour in community-level soccer players. Future research, employing comparable surveillance methods, could be used to monitor progress on adherence to the injury prevention measures canvassed in this study. Copyright © 2011 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

  20. Population Exposure Estimates in Proximity to Nuclear Power Plants, Country-Level Aggregates

    Data.gov (United States)

    National Aeronautics and Space Administration — The Population Exposure Estimates in Proximity to Nuclear Power Plants, Country-Level Aggregates data set consists of country-level estimates of total, urban, and...

  1. Effects of pesticides on community composition and activity of sediment microbes - responses at various levels of microbial community organization

    International Nuclear Information System (INIS)

    Widenfalk, Anneli; Bertilsson, Stefan; Sundh, Ingvar; Goedkoop, Willem

    2008-01-01

    A freshwater sediment was exposed to the pesticides captan, glyphosate, isoproturon, and pirimicarb at environmentally relevant and high concentrations. Effects on sediment microorganisms were studied by measuring bacterial activity, fungal and total microbial biomass as community-level endpoints. At the sub-community level, microbial community structure was analysed (PLFA composition and bacterial 16S rRNA genotyping, T-RFLP). Community-level endpoints were not affected by pesticide exposure. At lower levels of microbial community organization, however, molecular methods revealed treatment-induced changes in community composition. Captan and glyphosate exposure caused significant shifts in bacterial community composition (as T-RFLP) at environmentally relevant concentrations. Furthermore, differences in microbial community composition among pesticide treatments were found, indicating that test compounds and exposure concentrations induced multidirectional shifts. Our study showed that community-level end points failed to detect these changes, underpinning the need for application of molecular techniques in aquatic ecotoxicology. - Molecular techniques revealed pesticide-induced changes at lower levels of microbial community organization that were not detected by community-level end points

  2. Community-level impact of the reproductive health vouchers programme on service utilization in Kenya.

    Science.gov (United States)

    Obare, Francis; Warren, Charlotte; Njuki, Rebecca; Abuya, Timothy; Sunday, Joseph; Askew, Ian; Bellows, Ben

    2013-03-01

    This paper examines community-level association between exposure to the reproductive health vouchers programme in Kenya and utilization of services. The data are from a household survey conducted among 2527 women (15-49 years) from voucher and comparable non-voucher sites. Analysis entails cross-tabulations with Chi-square tests and significant tests of proportions as well as estimation of multi-level logit models to predict service utilization by exposure to the programme. The results show that for births occurring after the voucher programme began, women from communities that had been exposed to the programme since 2006 were significantly more likely to have delivered at a health facility and to have received skilled care during delivery compared with those from communities that had not been exposed to the programme at all. There were, however, no significant differences in the timing of first trimester utilization of antenatal care (ANC) and making four or more ANC visits by exposure to the programme. In addition, poor women were significantly less likely to have used safe motherhood services (health facility delivery, skilled delivery care and postnatal care) compared with their non-poor counterparts regardless of exposure to the programme. Nonetheless, a significantly higher proportion of poor women from communities that had been exposed to the programme since 2006 used the services compared with their poor counterparts from communities that had not been exposed to the programme at all. The findings suggest that the programme is associated with increased health facility deliveries and skilled delivery care especially among poor women. However, it has had limited community-level impact on the first trimester timing of antenatal care use and making four or more visits, which remain a challenge despite the high proportion of women in the country that make at least one antenatal care visit during pregnancy.

  3. Individual-level socioeconomic status and community-level inequality as determinants of stigma towards persons living with HIV who inject drugs in Thai Nguyen, Vietnam.

    Science.gov (United States)

    Lim, Travis; Zelaya, Carla; Latkin, Carl; Quan, Vu Minh; Frangakis, Constantine; Ha, Tran Viet; Minh, Nguyen Le; Go, Vivian

    2013-11-13

    HIV infection may be affected by multiple complex socioeconomic status (SES) factors, especially individual socioeconomic disadvantage and community-level inequality. At the same time, stigma towards HIV and marginalized groups has exacerbated persistent concentrated epidemics among key populations, such as persons who inject drugs (PWID) in Vietnam. Stigma researchers argue that stigma fundamentally depends on the existence of economic power differences in a community. In rapidly growing economies like Vietnam, the increasing gap in income and education levels, as well as an individual's absolute income and education, may create social conditions that facilitate stigma related to injecting drug use and HIV. A cross-sectional baseline survey assessing different types of stigma and key socioeconomic characteristics was administered to 1674 PWID and 1349 community members living in physical proximity throughout the 32 communes in Thai Nguyen province, Vietnam. We created four stigma scales, including HIV-related and drug-related stigma reported by both PWID and community members. We then used ecologic Spearman's correlation, ordinary least-squares regression and multi-level generalized estimating equations to examine community-level inequality associations, individual-level SES associations and multi-level SES associations with different types of stigma, respectively. There was little urban-rural difference in stigma among communes. Higher income inequality was marginally associated with drug-related stigma reported by community members (p=0.087), and higher education inequality was significantly associated with higher HIV-related stigma reported by both PWID and community members (pinequality and HIV-related stigma is superseded by the effect of individual-level education. The results of the study confirm that socioeconomic factors at both the individual level and community level affect different types of stigma in different ways. Attention should be paid to these

  4. Community-level actions that can address ocean acidification

    Directory of Open Access Journals (Sweden)

    Sarah R Cooley

    2016-01-01

    Full Text Available Ocean acidification has led to detectable changes in seawater chemistry around the world, which are associated with reduced growth and survival of many species. Acute ocean acidification events in the Pacific Northwest United States have jeopardized the $270 million, 3,200 jobs/year shellfish aquaculture industry in Washington State, and this has contributed to the state’s broad-based, legislatively driven response to ocean acidification. Even though impacts from ocean acidification have yet to be felt in many locations, states and regions are beginning to take action on the issue. In this paper, we present an array of actions that can be undertaken by communities or regions to address ocean acidification. The actions can be coupled, completed one at a time, or aligned with other environmental initiatives, and they can be tailored to the prevailing political or economic environment. We review which have been used by different U.S. states and identify common themes and popular choices. We close by suggesting combinations of conditions and clusters of activities that seem to promote rapid and sustained action. Cutting atmospheric carbon dioxide levels internationally is still the most comprehensive way to address ocean acidification, but this analysis shows that productive actions can still be taken at smaller scales to help marine resource-dependent communities adapt to existing ocean acidification and prepare for possible future impacts.

  5. Anthropogenic disturbance equalizes diversity levels in arbuscular mycorrhizal fungal communities.

    Science.gov (United States)

    García de León, David; Davison, John; Moora, Mari; Öpik, Maarja; Feng, Huyuan; Hiiesalu, Inga; Jairus, Teele; Koorem, Kadri; Liu, Yongjun; Phosri, Cherdchai; Sepp, Siim-Kaarel; Vasar, Martti; Zobel, Martin

    2018-03-24

    The arbuscular mycorrhizal (AM) symbiosis is a key plant-microbe interaction in sustainable functioning ecosystems. Increasing anthropogenic disturbance poses a threat to AM fungal communities worldwide, but there is little empirical evidence about its potential negative consequences. In this global study we sequenced AM fungal DNA in soil samples collected from pairs of natural (undisturbed) and anthropogenic (disturbed) plots in two ecosystem types (ten naturally wooded and six naturally unwooded ecosystems). We found that ecosystem type had stronger directional effects than anthropogenic disturbance on AM fungal alpha and beta diversity. However, disturbance increased alpha and beta diversity at sites where natural diversity was low, and decreased diversity at sites where natural diversity was high. Cultured AM fungal taxa were more prevalent in anthropogenic than natural plots, probably due to their efficient colonization strategies and ability to recover from disturbance. We conclude that anthropogenic disturbance does not have a consistent directional effect on AM fungal diversity; rather, disturbance equalizes levels of diversity at large scales and causes changes in community functional structure. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

  6. Nutrient and Rainfall Additions Shift Phylogenetically Estimated Traits of Soil Microbial Communities

    Directory of Open Access Journals (Sweden)

    Kelly Gravuer

    2017-07-01

    Full Text Available Microbial traits related to ecological responses and functions could provide a common currency facilitating synthesis and prediction; however, such traits are difficult to measure directly for all taxa in environmental samples. Past efforts to estimate trait values based on phylogenetic relationships have not always distinguished between traits with high and low phylogenetic conservatism, limiting reliability, especially in poorly known environments, such as soil. Using updated reference trees and phylogenetic relationships, we estimated two phylogenetically conserved traits hypothesized to be ecologically important from DNA sequences of the 16S rRNA gene from soil bacterial and archaeal communities. We sampled these communities from an environmental change experiment in California grassland applying factorial addition of late-season precipitation and soil nutrients to multiple soil types for 3 years prior to sampling. Estimated traits were rRNA gene copy number, which contributes to how rapidly a microbe can respond to an increase in resources and may be related to its maximum growth rate, and genome size, which suggests the breadth of environmental and substrate conditions in which a microbe can thrive. Nutrient addition increased community-weighted mean estimated rRNA gene copy number and marginally increased estimated genome size, whereas precipitation addition decreased these community means for both estimated traits. The effects of both treatments on both traits were associated with soil properties, such as ammonium, available phosphorus, and pH. Estimated trait responses within several phyla were opposite to the community mean response, indicating that microbial responses, although largely consistent among soil types, were not uniform across the tree of life. Our results show that phylogenetic estimation of microbial traits can provide insight into how microbial ecological strategies interact with environmental changes. The method could

  7. Aircraft bi-level life cycle cost estimation

    NARCIS (Netherlands)

    Zhao, X.; Verhagen, W.J.C.; Curan, R.

    2015-01-01

    n an integrated aircraft design and analysis practice, Life Cycle Cost (LCC) is essential for decision making. The LCC of an aircraft is ordinarily partially estimated by emphasizing a specific cost type. However, an overview of the LCC including design and development cost, production cost,

  8. THE ESTIMATION OF INVESTMENT EQUATIONS AT THE FARM-LEVEL

    NARCIS (Netherlands)

    ELHORST, JP

    1993-01-01

    On the basis of annual data for individual farms, a model is estimated which explains investment by the Dutch dairy sector in land, buildings and machinery. As a farmer does not invest in all three capital goods every year, a large number of observations are clustered at zero. Because of this, the

  9. Ground hardness and injury in community level Australian football.

    Science.gov (United States)

    Twomey, Dara M; Finch, Caroline F; Lloyd, David G; Elliott, Bruce C; Doyle, Tim L A

    2012-07-01

    To describe the risk and details of injuries associated with ground hardness in community level Australian football (AF). Prospective injury surveillance with periodic objective ground hardness measurement. 112 ground hardness assessments were undertaken using a Clegg hammer at nine locations across 20 grounds, over the 2007 and 2008 AF seasons. Details of 352 injuries sustained by community level players on those grounds were prospectively collected as part of a large randomised controlled trial. The ground location of the injury was matched to the nearest corresponding ground hardness Clegg hammer readings, in gravities (g), which were classified from unacceptably low (hardness (>120 g). Clegg hammer readings ranged from 25 to 301 g. Clegg hammer hardness categories from low/normal to high/normal were associated with the majority of injuries, with only 3.7% (13 injuries) on unacceptably high hardness and 0.3% (1 injury) on the unacceptably low hardness locations. Relative to the preferred range of hardness, the risk of sustaining an injury on low/normal hardness locations was 1.31 (95%CI: 1.06-1.62) times higher and 1.82 (95%CI: 1.17-2.85) times higher on locations with unacceptably high hardness. The more severe injuries occurred with low/normal ground hardness. Despite the low number of injuries, the risk of sustaining an injury on low/normal and unacceptably hard grounds was significantly greater than on the preferred range of hardness. Notably, the severity of the injuries sustained on unacceptably hard grounds was lower than for other categories of hardness. Copyright © 2012 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

  10. Community-level microalgal toxicity assessment by multiwavelength-excitation PAM fluorometry

    International Nuclear Information System (INIS)

    Schmitt-Jansen, Mechthild; Altenburger, Rolf

    2008-01-01

    In ecotoxicological studies involving community-level investigations, rapid and multiparametric fluorescence-based methods may provide substantial advantages over traditional methods used for structural and functional community analysis. Therefore, multiwavelength-excitation pulse-amplitude modulated (PAM) fluorometry was applied in this study to assess long-term changes in periphyton community structure, short-term effects on periphyton functioning (photosynthesis) and pollution induced community tolerance (PICT). For inter-calibration, periphyton structure was evaluated by chemotaxonomic analysis of accessory pigments and a four-wavelength-excitation PAM fluorometer. Short-term effects of herbicides were evaluated by fluorescence quenching analysis and 14 C-incorporation as a proxy of primary production. Subsequently, the method was applied to assess structural and functional changes in periphyton communities after isoproturon exposure for 14 and 26 days, respectively. Results showed good correlation of the PAM fluorescence-based measurements with traditional methods for biofilms in the initial colonisation phase for structural and functional parameters. However, for biofilms older than 9 weeks PAM fluorescence may underestimate biomass. Multiwavelength-excitation PAM fluorometry showed good correlation with marker pigment concentrations indicating that this method provides a reliable estimate of the community structure. PAM fluorometry was able to quantify changes of biomass and follow relative shifts in class composition of biofilms under exposure of isoproturon. Short-term tests based on the quantification of the inhibition of the effective quantum yield revealed a concentration-dependent increase of PICT. The observation of two succession phases of the biofilms after 14 and 26 days of growth, respectively, revealed that sensitivity of biofilms decreased with increasing age and biomass, respectively, but PICT remained a characteristic parameter of exposed

  11. Estimating microcystin levels at recreational sites in western Lake Erie and Ohio

    Science.gov (United States)

    Francy, Donna S.; Brady, Amie M. G.; Ecker, Christopher D.; Graham, Jennifer L.; Stelzer, Erin A.; Struffolino, Pamela; Loftin, Keith A.

    2016-01-01

    Cyanobacterial harmful algal blooms (cyanoHABs) and associated toxins, such as microcystin, are a major global water-quality issue. Water-resource managers need tools to quickly predict when and where toxin-producing cyanoHABs will occur. This could be done by using site-specific models that estimate the potential for elevated toxin concentrations that cause public health concerns. With this study, samples were collected at three Ohio lakes to identify environmental and water-quality factors to develop linear-regression models to estimate microcystin levels. Measures of the algal community (phycocyanin, cyanobacterial biovolume, and cyanobacterial gene concentrations) and pH were most strongly correlated with microcystin concentrations. Cyanobacterial genes were quantified for general cyanobacteria, general Microcystis and Dolichospermum, and for microcystin synthetase (mcyE) for Microcystis, Dolichospermum, and Planktothrix. For phycocyanin, the relations were different between sites and were different between hand-held measurements on-site and nearby continuous monitor measurements for the same site. Continuous measurements of parameters such as phycocyanin, pH, and temperature over multiple days showed the highest correlations to microcystin concentrations. The development of models with high R2values (0.81–0.90), sensitivities (92%), and specificities (100%) for estimating microcystin concentrations above or below the Ohio Recreational Public Health Advisory level of 6 μg L−1 was demonstrated for one site; these statistics may change as more data are collected in subsequent years. This study showed that models could be developed for estimates of exceeding a microcystin threshold concentration at a recreational freshwater lake site, with potential to expand their use to provide relevant public health information to water resource managers and the public for both recreational and drinking waters.

  12. Estimating the Effects of Habitat and Biological Interactions in an Avian Community.

    Directory of Open Access Journals (Sweden)

    Robert M Dorazio

    Full Text Available We used repeated sightings of individual birds encountered in community-level surveys to investigate the relative roles of habitat and biological interactions in determining the distribution and abundance of each species. To analyze these data, we developed a multispecies N-mixture model that allowed estimation of both positive and negative correlations between abundances of different species while also estimating the effects of habitat and the effects of errors in detection of each species. Using a combination of single- and multispecies N-mixture modeling, we examined for each species whether our measures of habitat were sufficient to account for the variation in encounter histories of individual birds or whether other habitat variables or interactions with other species needed to be considered. In the community that we studied, habitat appeared to be more influential than biological interactions in determining the distribution and abundance of most avian species. Our results lend support to the hypothesis that abundances of forest specialists are negatively affected by forest fragmentation. Our results also suggest that many species were associated with particular types of vegetation as measured by structural attributes of the forests. The abundances of 6 of the 73 species observed in our study were strongly correlated. These species included large birds (American Crow (Corvus brachyrhynchos and Red-winged Blackbird (Agelaius phoeniceus that forage on the ground in open habitats and small birds (Red-eyed Vireo (Vireo olivaceus, House Wren (Troglodytes aedon, Hooded Warbler (Setophaga citrina, and Prairie Warbler (Setophaga discolor that are associated with dense shrub cover. Species abundances were positively correlated within each size group and negatively correlated between groups. Except for the American Crow, which preys on eggs and nestlings of small song birds, none of the other 5 species is known to display direct interactions, so we

  13. Estimating the effects of habitat and biological interactions in an avian community

    Science.gov (United States)

    Dorazio, Robert M.; Connor, Edward F.; Askins, Robert A.

    2015-01-01

    We used repeated sightings of individual birds encountered in community-level surveys to investigate the relative roles of habitat and biological interactions in determining the distribution and abundance of each species. To analyze these data, we developed a multispecies N-mixture model that allowed estimation of both positive and negative correlations between abundances of different species while also estimating the effects of habitat and the effects of errors in detection of each species. Using a combination of single- and multispecies N-mixture modeling, we examined for each species whether our measures of habitat were sufficient to account for the variation in encounter histories of individual birds or whether other habitat variables or interactions with other species needed to be considered. In the community that we studied, habitat appeared to be more influential than biological interactions in determining the distribution and abundance of most avian species. Our results lend support to the hypothesis that abundances of forest specialists are negatively affected by forest fragmentation. Our results also suggest that many species were associated with particular types of vegetation as measured by structural attributes of the forests. The abundances of 6 of the 73 species observed in our study were strongly correlated. These species included large birds (American Crow and Red-winged Blackbird) that forage on the ground in open habitats and small birds (Red-eyed Vireo, House Wren, Hooded Warbler, and Prairie Warbler) that are associated with dense shrub cover. Species abundances were positively correlated within each size group and negatively correlated between groups. Except for the American Crow, which preys on eggs and nestlings of small song birds, none of the other 5 species is known to display direct interactions, so we suspect that the correlations may have been associated with species-specific responses to habitat components not adequately measured by

  14. Community level impacts of expanding underground coal mining

    Science.gov (United States)

    Coates, V. T.

    1975-01-01

    The potential secondary consequences of rapid community growth in deep mining localities and the ability of affected communities to absorb and manage such growth are discussed. Areas discussed include Sweetwater County, Wyoming, and Marion and Monongalia Counties, West Virginia.

  15. Paraben Levels in an Urban Community of Western Canada

    Science.gov (United States)

    Genuis, Stephen J.; Birkholz, Detlef; Curtis, Luke; Sandau, Court

    2013-01-01

    With effective antibacterial and antifungal properties, commercially used parabens are synthetic compounds widely utilized as preservatives in cosmetics, personal care products, pharmaceuticals, and as an additive in some foodstuffs. While long regarded as relatively safe and nontoxic, recent research has demonstrated xenoestrogenic properties of anthropogenic parabens with early evidence that paraben exposure may be linked to breast cancer, thyroid dysfunction, allergy, and obesity. In an attempt to determine the prevalence of paraben exposure in a Canadian urban community, a sample of convenience was done by measuring urinary levels of methyl, ethyl, propyl, butyl, and isobutyl parabens (MP, EP, PP, BP, and IP) in 39 consecutive patients in an Alberta primary care clinic. In 28 female patients including 9 pregnant women, the median urinary levels (in μg/L) were 25.45 for MP, 10.17 for EP, 2.80 for PP, 0.30 for BP, and 0.24 for IP. In 11 male patients, the median urinary levels (in μg/L) were 25.95 for MP, 10.37 for EP, 3.09 for PP, 0.35 for BP, and 0.22 for IP. Especially high urinary paraben levels were reported in a few patients, with the highest urinary concentrations (in μg/L) reported as 966.46 for MP, 220.6 as EP, and 612.73 for PP. It is evident that exposure to assorted parabens is a routine event for many if not most individuals, including pregnant women, in urban Alberta, Canada. PMID:24455315

  16. Participation Levels in 25 Community-Based Participatory Research Projects

    Science.gov (United States)

    Spears Johnson, C. R.; Kraemer Diaz, A. E.; Arcury, T. A.

    2016-01-01

    This analysis describes the nature of community participation in National Institutes of Health and Centers for Disease Control and Prevention funded community-based participatory research (CBPR) projects, and explores the scientific and social implications of variation in community participation. We conducted in-depth interviews in 2012 with…

  17. Community-level Distribution of Misoprostol to Prevent Postpartum ...

    African Journals Online (AJOL)

    In Nigeria, most deaths due to postpartum hemorrhage (PPH) occur in the absence of skilled birth attendants. A study using community mobilization and the training of community drug keepers to increase access to misoprostol for PPH prevention was conducted in five communities around Zaria in Kaduna State, Nigeria.

  18. Modelling community dynamics based on species-level abundance models from detection/nondetection data

    Science.gov (United States)

    Yamaura, Yuichi; Royle, J. Andrew; Kuboi, Kouji; Tada, Tsuneo; Ikeno, Susumu; Makino, Shun'ichi

    2011-01-01

    1. In large-scale field surveys, a binary recording of each species' detection or nondetection has been increasingly adopted for its simplicity and low cost. Because of the importance of abundance in many studies, it is desirable to obtain inferences about abundance at species-, functional group-, and community-levels from such binary data. 2. We developed a novel hierarchical multi-species abundance model based on species-level detection/nondetection data. The model accounts for the existence of undetected species, and variability in abundance and detectability among species. Species-level detection/nondetection is linked to species- level abundance via a detection model that accommodates the expectation that probability of detection (at least one individuals is detected) increases with local abundance of the species. We applied this model to a 9-year dataset composed of the detection/nondetection of forest birds, at a single post-fire site (from 7 to 15 years after fire) in a montane area of central Japan. The model allocated undetected species into one of the predefined functional groups by assuming a prior distribution on individual group membership. 3. The results suggest that 15–20 species were missed in each year, and that species richness of communities and functional groups did not change with post-fire forest succession. Overall abundance of birds and abundance of functional groups tended to increase over time, although only in the winter, while decreases in detectabilities were observed in several species. 4. Synthesis and applications. Understanding and prediction of large-scale biodiversity dynamics partly hinge on how we can use data effectively. Our hierarchical model for detection/nondetection data estimates abundance in space/time at species-, functional group-, and community-levels while accounting for undetected individuals and species. It also permits comparison of multiple communities by many types of abundance-based diversity and similarity

  19. Community-Level Sports Group Participation and Older Individuals' Depressive Symptoms.

    Science.gov (United States)

    Tsuji, Taishi; Miyaguni, Yasuhiro; Kanamori, Satoru; Hanazato, Masamichi; Kondo, Katsunori

    2018-01-03

    Community-level group participation is a structural aspect of social capital that may have a contextual influence on an individual's health. Herein, we sought to investigate a contextual relationship between community-level prevalence of sports group participation and depressive symptoms in older individuals. We used data from the 2010 Japan Gerontological Evaluation Study (JAGES), a population-based, cross-sectional study of individuals aged ≥65 years without long-term care needs in Japan. Overall, 74,681 participants in 516 communities were analyzed. Depressive symptoms were diagnosed as the 15-item Geriatric Depression Scale score ≥5. Participation in a sports group 1 day/month or more often was defined as "participation." For this study, we applied two-level multilevel Poisson regression analysis stratified by sex, calculated prevalence ratios (PRs), and 95% confidence intervals (CIs). Overall, 17,420 individuals (23.3%) had depressive symptoms, and 16,915 (22.6%) participated in a sports group. Higher prevalence of community-level sports group participation had a statistically significant relationship with a lower likelihood of depressive symptoms (male, PR: 0.89, 95% CI: 0.85-0.92; female, PR: 0.96, 95% CI: 0.92-0.99, estimated by 10% of participation proportion) after adjusting for individual-level sports group participation, age, diseases, family form, alcohol, smoking, education, equivalent income, and population density. We found statistically significant cross-level interaction terms in males only (PR: 0.86, 95% CI: 0.77-0.95). We found a contextual preventive relationship between community-level sports group participation and depressive symptoms in older individuals. Therefore, promoting sports groups in a community may be effective as a population-based strategy for the prevention of depression in older individuals. Furthermore, the benefit may favor male sports group participants.This is an open-access article distributed under the terms of the

  20. More than 9,000,000 unique genes in human gut bacterial community: estimating gene numbers inside a human body.

    Science.gov (United States)

    Yang, Xing; Xie, Lu; Li, Yixue; Wei, Chaochun

    2009-06-29

    Estimating the number of genes in human genome has been long an important problem in computational biology. With the new conception of considering human as a super-organism, it is also interesting to estimate the number of genes in this human super-organism. We presented our estimation of gene numbers in the human gut bacterial community, the largest microbial community inside the human super-organism. We got 552,700 unique genes from 202 complete human gut bacteria genomes. Then, a novel gene counting model was built to check the total number of genes by combining culture-independent sequence data and those complete genomes. 16S rRNAs were used to construct a three-level tree and different counting methods were introduced for the three levels: strain-to-species, species-to-genus, and genus-and-up. The model estimates that the total number of genes is about 9,000,000 after those with identity percentage of 97% or up were merged. By combining completed genomes currently available and culture-independent sequencing data, we built a model to estimate the number of genes in human gut bacterial community. The total number of genes is estimated to be about 9 million. Although this number is huge, we believe it is underestimated. This is an initial step to tackle this gene counting problem for the human super-organism. It will still be an open problem in the near future. The list of genomes used in this paper can be found in the supplementary table.

  1. Estimation of cerebrospinal fluid cortisol level in tuberculous meningitis

    OpenAIRE

    Rohan R Mahale; Anish Mehta; Sudhir Uchil

    2015-01-01

    Background: Central nervous system (CNS) involvement in tuberculosis is around 5?10%. Of the various manifestations of CNS tuberculosis, meningitis is the most common (70?80%). Delay in diagnosis and treatment results in significant morbidity and mortality. Objective: To study the cerebrospinal fluid (CSF) cortisol levels in tubercular meningitis and compare the levels with controls. Methods: Cross-sectional, prospective, observational, hospital-based study done in 20 patients of tubercular m...

  2. Estimating Survival Rates in Engineering for Community College Transfer Students Using Grades in Calculus and Physics

    Science.gov (United States)

    Laugerman, Marcia; Shelley, Mack; Rover, Diane; Mickelson, Steve

    2015-01-01

    This study uses a unique synthesized set of data for community college students transferring to engineering by combining several cohorts of longitudinal data along with transcript-level data, from both the Community College and the University, to measure success rates in engineering. The success rates are calculated by developing Kaplan-Meier…

  3. False high level in total bilirubin estimation in nonicteric serum

    African Journals Online (AJOL)

    In day to day clinical biochemistry laboratory practices, occasionally abnormal levels of individual parameters are noted. These reports cannot be explained immediately with certainty always. Inquisitiveness with in-depth analysis might reveal the possible cause sometimes. To find out the possible cause of false elevation in ...

  4. False high level in total bilirubin estimation in nonicteric serum ...

    African Journals Online (AJOL)

    In day to day clinical biochemistry laboratory practices, occasionally abnormal levels of individual parameters are noted. These reports cannot be explained immediately with certainty always. Inquisitiveness with in-depth analysis might reveal the possible cause sometimes. To find out the possible cause of false elevation in ...

  5. Microsatellite-based estimation of inbreeding level in sheep ...

    African Journals Online (AJOL)

    In sheep populations with small effective population sizes (Ne), inbreeding is a major concern because genetic variation has to be maintained. A panel of 28 microsatellite markers was used to measure the inbreeding level in three separate Merino flocks bred for superfine wool (CR), low parasite resistance (LR) or high ...

  6. Estimating Solar Energy Potential in Buildings on a Global Level

    DEFF Research Database (Denmark)

    Petrichenko, Ksenia

    2015-01-01

    This chapter contributes to the debate around net-zero energy concept from a global perspective. By means of comprehensive modelling, it analyses how much global building energy consumption could be reduced through utilisation of building-integrated solar energy technologies and energy......-efficiency improvements. Valuable insights on the locations and building types, in which it is feasible to achieve a net-zero level of energy performance through solar energy utilisation, are presented in world maps....

  7. MEASURING INSTRUMENT CONSTRUCTION AND VALIDATION IN ESTIMATING UNICYCLING SKILL LEVEL

    Directory of Open Access Journals (Sweden)

    Ivan Granić

    2012-09-01

    Full Text Available Riding the unicycle presupposes the knowledge of the set of elements which describe motoric skill, or just part of that set with which we could measure the level of that knowledge. Testing and evaluation of the elements is time consuming. In order to design a unique, composite measuring instrument, to facilitate the evaluation of the initial level of unicycling skill, we tested 17 recreative subjects who were learning to ride the unicycle in 15 hours of training, without any previous knowledge or experience what was measured before the beginning of the training. At the beginning and at the end of the training they were tested with the set of the 12 riding elements test that was carried out to record only successful attempts, followed by unique SLALOM test which include previously tested elements. It was found that the unique SLALOM test has good metric features and a high regression coefficient showed that the SLALOM could be used instead of the 12 elements of unicycle riding skill, and it could be used as a uniform test to evaluate learned or existing knowledge. Because of its simplicity in terms of action and simultaneous testing of more subjects, the newly constructed test could be used in evaluating the unicycling recreational level, but also for monitoring and programming transformation processes to develop the motor skills of riding of unicycle. Because of its advantages, it is desirable to include unicycling in the educational processes of learning new motor skills, which can be evaluated by the results of this research. The obtained results indicate that the unicycle should be seriously consider as a training equipment to “refresh” or expand the recreational programs, without any fear that it is just for special people. Namely, it was shown that the previously learned motor skills (skiing, roller-skating, and cycling had no effect on the results of final testing.

  8. Estimation of stand-level leaf area for boreal bryophytes.

    Science.gov (United States)

    Bond-Lamberty, Ben; Gower, Stith T

    2007-04-01

    Bryophytes dominate the carbon and nitrogen cycling of many poorly drained terrestrial ecosystems and are important in the vegetation-atmosphere exchange of carbon and water, yet few studies have estimated their leaf area at the stand scale. This study quantified the bryophyte-specific leaf area (SLA) and leaf area index (LAI) in a group of different-aged boreal forest stands in well and poorly drained soils. Species-specific SLA (for three feather mosses, four Sphagnum spp. and Aulacomnium palustre mixed with Tomentypnum nitens) was assessed by determining the projected area using a flatbed scanner and cross-sectional geometry using a dissecting microscope. The hemisurface leaf area was computed as the product of SLA and live biomass and was scaled by coverage data collected at all stands. Pleurozium schreberi dominated the spatial coverage, biomass and leaf area in the well-drained stands, particularly the oldest, while S. fuscum and A. palustre were important in the poorly drained stands. Live moss biomass ranged from 47 to 230 g m(-2) in the well-drained stands dominated by feather mosses and from 102 to 228 g m(-2) in the poorly drained stands. Bryophyte SLA varied between 135 and 473 cm(2) g(-1), for A. palustre and S. capillifolium, respectively. SLA was strongly and significantly affected by bryophyte species, but did not vary between stands; in general, there was no significant difference between the SLA of non-Sphagnum mosses. Bryophyte LAI increased with stand age, peaking at 3.1 and 3.7 in the well and poorly drained stands, respectively; this represented approximately 40% of the overstory LAI in the well-drained stands and 100-1,000% in the poorly drained stands, underscoring the important role bryophytes play in the water and carbon budgets of these boreal forests.

  9. Integrating family planning and HIV services at the community level ...

    African Journals Online (AJOL)

    Little is known on integrating HIV and family planning (FP) services in community settings. Using a cluster randomized controlled design, we conducted a formative assessment in two districts in Uganda where community health workers, called VHTs, already offered FP. Thirty-six trained VHTs also provided HIV testing and ...

  10. Place, health, and community attachment: Is community capacity associated with self-rated health at the individual level?

    Directory of Open Access Journals (Sweden)

    Sarah A. Lovell

    2017-12-01

    Full Text Available Community-level interventions dominate contemporary public health responses to health inequalities as a lack of political will has discouraged action at a structural level. Health promoters commonly leverage community capacity to achieve programme goals, yet the health implications of low community capacity are unknown. In this study, we analyse perceptions of community capacity at the individual-level to explore how place-based understandings of identity and connectedness are associated with self-rated health. We examine associations between individual community capacity, self-rated health and income using a cross-sectional survey that was disseminated to 303 residents of four small (populations 1500–2000 New Zealand towns. Evidence indicating a relationship between individual community capacity and self-reported health was unconvincing once the effects of income were incorporated. That is, people who rated their community's capacity higher did not have better self-rated health. Much stronger evidence supported the relationship between income and both higher individual community capacity and higher self-rated health. We conclude that individual community capacity may mediate the positive association between income and health, however, overall we find no evidence suggesting that intervening to enhance individual community capacity is likely to improve health outcomes.

  11. Place, health, and community attachment: Is community capacity associated with self-rated health at the individual level?

    Science.gov (United States)

    Lovell, Sarah A; Gray, Andrew R; Boucher, Sara E

    2017-12-01

    Community-level interventions dominate contemporary public health responses to health inequalities as a lack of political will has discouraged action at a structural level. Health promoters commonly leverage community capacity to achieve programme goals, yet the health implications of low community capacity are unknown. In this study, we analyse perceptions of community capacity at the individual-level to explore how place-based understandings of identity and connectedness are associated with self-rated health. We examine associations between individual community capacity, self-rated health and income using a cross-sectional survey that was disseminated to 303 residents of four small (populations 1500-2000) New Zealand towns. Evidence indicating a relationship between individual community capacity and self-reported health was unconvincing once the effects of income were incorporated. That is, people who rated their community's capacity higher did not have better self-rated health. Much stronger evidence supported the relationship between income and both higher individual community capacity and higher self-rated health. We conclude that individual community capacity may mediate the positive association between income and health, however, overall we find no evidence suggesting that intervening to enhance individual community capacity is likely to improve health outcomes.

  12. Global Sea Surface Temperature and Sea Level Rise Estimation with Optimal Historical Time Lag Data

    Directory of Open Access Journals (Sweden)

    Mustafa M. Aral

    2016-11-01

    Full Text Available Prediction of global temperatures and sea level rise (SLR is important for sustainable development planning of coastal regions of the world and the health and safety of communities living in these regions. In this study, climate change effects on sea level rise is investigated using a dynamic system model (DSM with time lag on historical input data. A time-invariant (TI-DSM and time-variant dynamic system model (TV-DSM with time lag is developed to predict global temperatures and SLR in the 21st century. The proposed model is an extension of the DSM developed by the authors. The proposed model includes the effect of temperature and sea level states of several previous years on the current temperature and sea level over stationary and also moving scale time periods. The optimal time lag period used in the model is determined by minimizing a synthetic performance index comprised of the root mean square error and coefficient of determination which is a measure for the reliability of the predictions. Historical records of global temperature and sea level from 1880 to 2001 are used to calibrate the model. The optimal time lag is determined to be eight years, based on the performance measures. The calibrated model was then used to predict the global temperature and sea levels in the 21st century using a fixed time lag period and moving scale time lag periods. To evaluate the adverse effect of greenhouse gas emissions on SLR, the proposed model was also uncoupled to project the SLR based on global temperatures that are obtained from the Intergovernmental Panel on Climate Change (IPCC emission scenarios. The projected SLR estimates for the 21st century are presented comparatively with the predictions made in previous studies.

  13. Controlled comparison of species- and community-level models across novel climates and communities.

    Science.gov (United States)

    Maguire, Kaitlin C; Nieto-Lugilde, Diego; Blois, Jessica L; Fitzpatrick, Matthew C; Williams, John W; Ferrier, Simon; Lorenz, David J

    2016-03-16

    Species distribution models (SDMs) assume species exist in isolation and do not influence one another's distributions, thus potentially limiting their ability to predict biodiversity patterns. Community-level models (CLMs) capitalize on species co-occurrences to fit shared environmental responses of species and communities, and therefore may result in more robust and transferable models. Here, we conduct a controlled comparison of five paired SDMs and CLMs across changing climates, using palaeoclimatic simulations and fossil-pollen records of eastern North America for the past 21 000 years. Both SDMs and CLMs performed poorly when projected to time periods that are temporally distant and climatically dissimilar from those in which they were fit; however, CLMs generally outperformed SDMs in these instances, especially when models were fit with sparse calibration datasets. Additionally, CLMs did not over-fit training data, unlike SDMs. The expected emergence of novel climates presents a major forecasting challenge for all models, but CLMs may better rise to this challenge by borrowing information from co-occurring taxa. © 2016 The Author(s).

  14. Seasonal and Spatial Changes of Microorganism Communities in Constructed Wetlands: A Community Level Physiological Profiling Analysis

    Directory of Open Access Journals (Sweden)

    Florent Chazarenc

    2010-01-01

    Full Text Available In constructed wetlands, microorganisms associated with plants are assumed to play a major role. A one-year survey was conducted in five vertical flow constructed wetland systems that had been operating from 2 months to 8 years in small French villages (100–500 People Equivalent to provide a better understanding of microbiological activity. The objective of our study was to highlight the most important factor generating variability between microorganisms communities compared to treatment performances. Results of community level physiological profiling using Biolog Ecoplates were analyzed using principal component analysis. The greatest microbial activity was observed in the oldest wetland during summer. Profiles of fed and rest bed were differentiated by the nature of the main carbon source metabolized. Whereas carbohydrates and carboxylic acids appeared to be better assimilated with fed beds, it seemed that phosphate compounds as well as amines allowed better growth in the plates inoculated with samples of rest beds. In all fed beds, the most important parameters affecting the diversity were the season and the age of the wetlands. There were only slight profile differences between surface and subsurface samples and between the first and second stage samples.

  15. Estimation of the Pollution Level in El Timsah Lake, Egypt

    International Nuclear Information System (INIS)

    Abd El Samie, S.G.; Hassan, H.B.; Hamza, M.S.

    2008-01-01

    The wide range of activities surrounding El Timsah Lake and the discharge effluent at the north and eastern parts of the lake led to high level of anthropogenic pollution in lake water more than the navigation activities. Heavy metals concentration increases in low salinity water toward the land from the discharging effluent. Whereas, oil hydrocarbon and water salinity increase toward Suez Canal current water. This indicates some dispersion of oil ballast water of shipping tankers or from petroleum companies during transportation in the Suez Canal. Chemical and isotopic results indicate lake water stratification, low mixing rate due to slow current of lake water. This led to long residence time of the pollution load enhancing accumulation and precipitation of the heavy metals to the bottom sediment near the boundaries of the lake

  16. ESTIMATION OF DIAGNOSTIC REFERENCE LEVELS FOR CT CORONAROGRAPHY IN SLOVAKIA.

    Science.gov (United States)

    Bárdyová, Zuzana; Horváthová, Martina; Nikodemová, Denisa

    2018-02-16

    The coronary CT angiography (CCTA) is a frequent diagnostic method connected with large variability of effective dose. Therefore, it is the type of examination where optimization is very important and the use of a national diagnostic reference level (DRL) recommended. In Slovakia the DRL for interventional radiology examinations until now fails. The objective of our study was to propose the national DRL for CCTA examinations in Slovak Republic, on the basis of a cross-sectional multicenter study, performed in four departments of radiology. The study was realized in 2014-16 in a sample of 1725 patients undergoing CCTA examination. The proposed DRL expressed by CTDIVOL is 45 mGy and of DLP is 510 mGy cm.

  17. Community level physiological profiles of bacterial communities inhabiting uranium mining impacted sites.

    Science.gov (United States)

    Kenarova, Anelia; Radeva, Galina; Traykov, Ivan; Boteva, Silvena

    2014-02-01

    Bacterial activity and physiological diversity were characterized in mining and milling impacted soils collected from three abandoned uranium mine sites, Senokos, Buhovo and Sliven, using bacterial dehydrogenase activity and Biolog (EcoPlate) tests. The elemental composition of soils revealed high levels of uranium and heavy metals (sum of technogenic coefficients of contamination; TCC(sum) pollution as follows: Sliven (uranium - 374 mg/kg; TCC(sum) - 23.40) >Buhovo (uranium - 139.20mg/kg; TCC(sum) - 3.93) >Senokos (uranium - 23.01 mg/kg; TCC(sum) - 0.86). The physiological profiles of the bacterial community level were site specific, and indicated intensive utilization of polyols, carbohydrates and carboxylic acids in low and medium polluted environments, and i-erithrytol and 2-hydroxy-benzoic acid in the highly polluted environment of Sliven waste pile. Enzymes which take part in the biodegradation of recalcitrant substances were more resistant to pollution than these from the pathways of the easily degradable carbon sources. The Shannon index indicated that the physiological diversity of bacteria was site specific but not in line with the levels of pollution. A general tendency of increasing the importance of the number of utilizable substrates to bacterial physiological diversity was observed at less polluted sites, whereas in highly polluted sites the evenness of substrate utilization rate was more significant. Dehydrogenase activity was highest in Senokos upper soil layer and positively correlated (puranium and heavy metals toxicity. © 2013 Published by Elsevier Inc.

  18. Enzymatic method for estimation of trace levels of beryllium

    International Nuclear Information System (INIS)

    Krishna Mohan, R.; Samuel, Grace; Sivaprasad, N.; Thorat, D.D.; Thyagaraju, P.H.

    2011-01-01

    Notwithstanding its usefulness in high-tech areas, Beryllium (Be) is one of the most toxic substances. Exposure to beryllium fumes and fine particles over a length of time pose severe health hazards in some individuals, known as chronic beryllium disease (CBD). These exposures are mostly occurred during extraction and processing of beryllium. With the health risks associated with low-level exposure to beryllium being better understood, there is need to have an economical, reliable and sensitive technique for measurement of low amounts of Be in biological and environmental samples both in the laboratory and in the field. The presence of extremely low levels of beryllium in various environmental and biological matrices also poses, challenging problems in its quantification. A number of instrumental methods viz. Graphite Furnace Atom Absorption Spectrometry (GFAAS), Inductively Coupled Plasma (ICP) and Fluorometry for analysis of environmental and biological samples have been reported in the literature. But most of these techniques require expensive instruments and skilled manpower. Bio-sensing methods offer high sensitivity, specificity low cost instrumentation and high throughput of measurements thereby providing a very good and effective alternative to the conventional methods. This paper describes the optimisation of a method to measure beryllium based on enzymatic reaction. Here the inhibition property of beryllium for this enzyme was used to detect the beryllium in the given samples. In brief, 50 μl of enzyme alkaline phosphatase, 50 μl of substrate p-nitrophenyl phosphate and 50 μl of sample standard containing beryllium were incubated for 45 minutes. At the end of incubation the reaction is stopped by addition of 50 μl of sodium hydroxide and then measured for the absorbance. From the results obtained for suitable standards a calibration curve of relative activities of the enzyme vs beryllium concentrations were plotted. Thus the value of any sample

  19. Individual v. community-level measures of women's decision-making ...

    African Journals Online (AJOL)

    ... significantly associated with under-five mortality. Conclusion. Besides socioeconomic and biodemographic characteristics, community- and not individual-level DMI was associated with under-5 mortality. Women's empowerment programmes targeting maternal and child health outcomes should also focus on communities.

  20. Adolescent alcohol use reflects community-level alcohol consumption irrespective of parental drinking

    DEFF Research Database (Denmark)

    Bendtsen, Pernille; Damsgaard, Mogens Trab; Tolstrup, Janne Schurmann

    2013-01-01

    Risk factors for adolescent alcohol use are typically conceptualized at the individual level, and school- and community-level risk factors have received little attention. Based on the theoretical understanding of youth alcohol consumption as a reflection of community social practice, we analyzed...... whether adolescent drunkenness was related to community-level adult alcohol use (AAC), when taking individual and school-level risk factors for drunkenness into account. Furthermore, we investigated whether the association between community-level AAC and adolescent drunkenness was attenuated after...

  1. Simultaneous estimation of lithospheric uplift rates and absolute sea level change in southwest Scandinavia from inversion of sea level data

    DEFF Research Database (Denmark)

    Nielsen, Lars; Hansen, Jens Morten; Hede, Mikkel Ulfeldt

    2014-01-01

    of the obtained results. The two tested inversion schemes result in estimated absolute sea level rise of ∼1.2/1.3 mm yr–1 and vertical uplift rates ranging from approximately −1.4/−1.2 mm yr–1 (subsidence) to about 5.0/5.2 mm yr–1 if an a priori value of 1 mm yr–1 is used for the vertical lithospheric movement...... sea level data exists and well-constrained average lithospheric movement values are known from, for example glacial isostatic adjustment (GIA) models. The inversion approaches are tested and used for simultaneous estimation of lithospheric uplift rates and absolute sea level change rates in southwest...... that realistic values of absolute sea level rise and lithospheric uplift may be simultaneously estimated provided that reliable prior knowledge regarding the overall lithospheric uplift in the study area is available beforehand. In the presented parametrizations, only one absolute sea level change rate value...

  2. Benchmarking viromics: anin silicoevaluation of metagenome-enabled estimates of viral community composition and diversity.

    Science.gov (United States)

    Roux, Simon; Emerson, Joanne B; Eloe-Fadrosh, Emiley A; Sullivan, Matthew B

    2017-01-01

    Viral metagenomics (viromics) is increasingly used to obtain uncultivated viral genomes, evaluate community diversity, and assess ecological hypotheses. While viromic experimental methods are relatively mature and widely accepted by the research community, robust bioinformatics standards remain to be established. Here we used in silico mock viral communities to evaluate the viromic sequence-to-ecological-inference pipeline, including (i) read pre-processing and metagenome assembly, (ii) thresholds applied to estimate viral relative abundances based on read mapping to assembled contigs, and (iii) normalization methods applied to the matrix of viral relative abundances for alpha and beta diversity estimates. Tools specifically designed for metagenomes, specifically metaSPAdes, MEGAHIT, and IDBA-UD, were the most effective at assembling viromes. Read pre-processing, such as partitioning, had virtually no impact on assembly output, but may be useful when hardware is limited. Viral populations with 2-5 × coverage typically assembled well, whereas lesser coverage led to fragmented assembly. Strain heterogeneity within populations hampered assembly, especially when strains were closely related (average nucleotide identity, or ANI ≥97%) and when the most abundant strain represented identity, and (iii) ≥75% of contig length with ≥1 × coverage. Finally, although data are limited to the most abundant viruses in a community, alpha and beta diversity patterns were robustly estimated (±10%) when comparing samples of similar sequencing depth, but more divergent (up to 80%) when sequencing depth was uneven across the dataset. In the latter cases, the use of normalization methods specifically developed for metagenomes provided the best estimates. These simulations provide benchmarks for selecting analysis cut-offs and establish that an optimized sample-to-ecological-inference viromics pipeline is robust for making ecological inferences from natural viral communities

  3. Estimating the level of dynamical noise in time series by using fractal dimensions

    Energy Technology Data Exchange (ETDEWEB)

    Sase, Takumi, E-mail: sase@sat.t.u-tokyo.ac.jp [Graduate School of Information Science and Technology, The University of Tokyo, Tokyo 153-8505 (Japan); Ramírez, Jonatán Peña [CONACYT Research Fellow, Center for Scientific Research and Higher Education at Ensenada (CICESE), Carretera Ensenada-Tijuana No. 3918, Zona Playitas, C.P. 22860, Ensenada, Baja California (Mexico); Kitajo, Keiichi [BSI-Toyota Collaboration Center, RIKEN Brain Science Institute, Wako, Saitama 351-0198 (Japan); Aihara, Kazuyuki; Hirata, Yoshito [Graduate School of Information Science and Technology, The University of Tokyo, Tokyo 153-8505 (Japan); Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505 (Japan)

    2016-03-11

    We present a method for estimating the dynamical noise level of a ‘short’ time series even if the dynamical system is unknown. The proposed method estimates the level of dynamical noise by calculating the fractal dimensions of the time series. Additionally, the method is applied to EEG data to demonstrate its possible effectiveness as an indicator of temporal changes in the level of dynamical noise. - Highlights: • A dynamical noise level estimator for time series is proposed. • The estimator does not need any information about the dynamics generating the time series. • The estimator is based on a novel definition of time series dimension (TSD). • It is demonstrated that there exists a monotonic relationship between the • TSD and the level of dynamical noise. • We apply the proposed method to human electroencephalographic data.

  4. Using multi-level data to estimate the effect of social capital on hazardous alcohol consumption in the former Soviet Union.

    Science.gov (United States)

    Murphy, Adrianna; Roberts, Bayard; Kenward, Michael G; De Stavola, Bianca L; Stickley, Andrew; McKee, Martin

    2014-08-01

    Hazardous alcohol consumption is a leading cause of mortality in the former Soviet Union (fSU), but little is known about the social factors associated with this behaviour. We set out to estimate the association between individual- and community-level social capital and hazardous alcohol consumption in the fSU. Data were obtained from Health in Times of Transition 2010, a household survey of nine fSU countries (n = 18 000 within 2027 communities). Individual-level indicators of social isolation, civic participation, help in a crisis and interpersonal trust were aggregated to the community level. Adjusting for demographic factors, the association of individual- and community-level indicators with problem drinking (CAGE) and episodic heavy drinking was estimated using a population average model for the analysis of multi-level data. Among men, individual social isolation [odds ratio (OR) = 1.20], community social isolation (OR = 1.18) and community civic participation (OR = 4.08) were associated with increased odds of CAGE. Community civic participation (OR = 2.91) increased the odds of episodic heavy drinking, while community interpersonal trust (OR = 0.89) decreased these odds. Among women, individual social isolation (OR = 1.30) and community civic participation (OR = 2.94) increased odds of CAGE. Our results provide evidence of the role of some elements of social capital in problem drinking in the fSU, and highlight the importance of community effects. The nature of civic organizations in the fSU, and the communities in which civic participation is high, should be further investigated to inform alcohol policy in the region. © The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  5. Analysis of the effects of individual and community level factors on childhood immunization in Malawi.

    Science.gov (United States)

    Ntenda, Peter Austin Morton; Chuang, Kun-Yang; Tiruneh, Fentanesh Nibret; Chuang, Ying-Chih

    2017-04-04

    Empirical evidence regarding the relationship between childhood immunization and individual- and community-level factors in low-income countries has received little attention. We compared the trends and the effects of a wide range of individual- and community-level socioeconomic factors on the likelihood of a child being immunized between 2004 and 2010 in Malawi. We used data from the 2004 and 2010 Malawi Demographic and Health Survey and applied generalized estimating logistic regression equation to analyze data respectively on 2042 and 3496 children aged 12-23months. We compared the relationship between individual- and community-level socioeconomic factors and a child's vaccination status for four basic vaccines recommended by the World Health Organization: bacillus Calmette-Guérin (BCG) vaccine, diphtheria-tetanus-pertussis (DPT3) vaccine, oral polio vaccine (OPV3), and measles-containing vaccine 1 (MCV1). The trends of vaccination had a similar pattern in 2004 and 2010. The coverage of the four vaccinations was highest for BCG and lowest for OPV3 and complete immunization was higher in 2010. The multivariate analyses show that mother's low education, having one or none antenatal visits, having no immunization card, having immunization card but not seen, residing in poor households, and living in central region were the most significant factors associated with decreased odds of achieving vaccination coverage and complete vaccination in both 2004 and 2010. However, maternal education was more likely to be associated with children's immunization in 2010, while the geographical region was more likely to be associated with children's immunization in 2004. There were marked improvements in the national immunization coverage from 2004 to 2010. In order to achieve complete immunization, to further enhance the national immunization coverage as well as to lessen the gaps and disparities in childhood vaccination in Malawi, policy makers should design interventions based

  6. Patterns of birth weight at a community level

    African Journals Online (AJOL)

    user

    fill this gap and issues related to representativeness a community based study that identified a one-year live ... and type of latrine facility showed variation in low birth weight rates. These factors also showed independent and significant effect on birth weight patterns. ... were based on health facility records. According the ...

  7. Community level nutrition information system for action in rural ...

    African Journals Online (AJOL)

    Conclusion: This study shows that the COLNISA strategy has a positive impact on basic social, health and nutritional indices and engenders community participation. A controlled trial is however advocated before its wholesale application. Key Words: COLNISA, underweight, stunted, wasted, nutrition, information. Annals of ...

  8. Sense of community in Hong Kong: relations with community-level characteristics and residents' well-being.

    Science.gov (United States)

    Mak, Winnie W S; Cheung, Rebecca Y M; Law, Lawrence S C

    2009-09-01

    Sense of community (SOC) has been one of the most studied topics in community psychology. However, no empirical study to date has investigated SOC in Hong Kong and its relations with community characteristics and residents' psychological well-being. A representative sample of 941 Hong Kong Chinese based on a randomized household survey was conducted in all 18 districts in Hong Kong. Results of hierarchical linear modeling indicated that SOC was not associated with sociodemographic indicators on both the individual-level (i.e., gender, age, family income, education level, type of residence, and area-to-capita ratio of residence) and the community-level (i.e., proportion of individuals with tertiary education, median family income, ownership of residence, population density, and resident stability). SOC was negatively related to daily hassles and positively with social support and quality of life. Conceptualization of SOC in Hong Kong was discussed.

  9. Inferring uncertainty from interval estimates: Effects of alpha level and numeracy

    Directory of Open Access Journals (Sweden)

    Luke F. Rinne

    2013-05-01

    Full Text Available Interval estimates are commonly used to descriptively communicate the degree of uncertainty in numerical values. Conventionally, low alpha levels (e.g., .05 ensure a high probability of capturing the target value between interval endpoints. Here, we test whether alpha levels and individual differences in numeracy influence distributional inferences. In the reported experiment, participants received prediction intervals for fictitious towns' annual rainfall totals (assuming approximately normal distributions. Then, participants estimated probabilities that future totals would be captured within varying margins about the mean, indicating the approximate shapes of their inferred probability distributions. Results showed that low alpha levels (vs. moderate levels; e.g., .25 more frequently led to inferences of over-dispersed approximately normal distributions or approximately uniform distributions, reducing estimate accuracy. Highly numerate participants made more accurate estimates overall, but were more prone to inferring approximately uniform distributions. These findings have important implications for presenting interval estimates to various audiences.

  10. Single-Camera Trap Survey Designs Miss Detections: Impacts on Estimates of Occupancy and Community Metrics

    OpenAIRE

    Pease, Brent S.; Nielsen, Clayton K.; Holzmueller, Eric J.

    2016-01-01

    The use of camera traps as a tool for studying wildlife populations is commonplace. However, few have considered how the number of detections of wildlife differ depending upon the number of camera traps placed at cameras-sites, and how this impacts estimates of occupancy and community composition. During December 2015-February 2016, we deployed four camera traps per camera-site, separated into treatment groups of one, two, and four camera traps, in southern Illinois to compare whether estimat...

  11. The Los Angeles County Community Disaster Resilience Project — A Community-Level, Public Health Initiative to Build Community Disaster Resilience

    Directory of Open Access Journals (Sweden)

    David Eisenman

    2014-08-01

    Full Text Available Public health officials need evidence-based methods for improving community disaster resilience and strategies for measuring results. This methods paper describes how one public health department is addressing this problem. This paper provides a detailed description of the theoretical rationale, intervention design and novel evaluation of the Los Angeles County Community Disaster Resilience Project (LACCDR, a public health program for increasing community disaster resilience. The LACCDR Project utilizes a pretest–posttest method with control group design. Sixteen communities in Los Angeles County were selected and randomly assigned to the experimental community resilience group or the comparison group. Community coalitions in the experimental group receive training from a public health nurse trained in community resilience in a toolkit developed for the project. The toolkit is grounded in theory and uses multiple components to address education, community engagement, community and individual self-sufficiency, and partnerships among community organizations and governmental agencies. The comparison communities receive training in traditional disaster preparedness topics of disaster supplies and emergency communication plans. Outcome indicators include longitudinal changes in inter-organizational linkages among community organizations, community member responses in table-top exercises, and changes in household level community resilience behaviors and attitudes. The LACCDR Project is a significant opportunity and effort to operationalize and meaningfully measure factors and strategies to increase community resilience. This paper is intended to provide public health and academic researchers with new tools to conduct their community resilience programs and evaluation research. Results are not yet available and will be presented in future reports.

  12. Observations of the Hawaiian Mesopelagic Boundary Community in Daytime and Nighttime Habitats Using Estimated Backscatter

    Directory of Open Access Journals (Sweden)

    Comfort CM

    2017-07-01

    Full Text Available The Hawaiian mesopelagic boundary community is a slope-associated assemblage of micronekton that undergoes diel migrations along the slopes of the islands, residing at greater depths during the day and moving upslope to forage in shallower water at night. The timing of these migrations may be influenced by environmental factors such as moon phase or ambient light. To investigate the movements of this community, we examined echo intensity data from acoustic Doppler current profilers (ADCPs deployed at shallow and deep sites on the southern slope of Oahu, Hawaii. Diel changes in echo intensity (and therefore in estimated backscatter were observed and determined to be caused, at least in part, by the horizontal migration of the mesopelagic boundary community. Generalized additive modeling (GAM was used to assess the impact of environmental factors on the migration timing. Sunset time and lunar illumination were found to be significant factors. Movement speeds of the mesopelagic boundary community were estimated at 1.25–1.99 km h-1 (35–55 cm s-1. The location at which the migrations were observed is the future site of a seawater air conditioning system, which will cause artificial upwelling at our shallow observation site and may cause animal entrainment at the seawater intake near our deep water observation site. This study is the first to observe the diel migration of the mesopelagic boundary community on southern Oahu in both deep and shallow parts of the habitat, and it is also the first to examine migration trends over long time scales, which allows a better assessment of the effects of seasons and lunar illumination on micronekton migrations. Understanding the driving mechanisms of mesopelagic boundary community behavior will increase our ability to assess and manage coastal ecosystems in the face of increasing anthropogenic impacts.

  13. Averting disaster at the community level | IDRC - International ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2012-06-05

    Jun 5, 2012 ... The tool quickly became the basis for disaster planning in more cities in that region, as well as in the Southern Cone. Today, Ubal estimates that 1,200 local governments use SIGA. Since the manual outlining the approach is freely available on the Internet, SIGA has also been adopted by local authorities as ...

  14. Evaluating uncertainty estimates in hydrologic models: borrowing measures from the forecast verification community

    Science.gov (United States)

    Franz, K. J.; Hogue, T. S.

    2011-11-01

    The hydrologic community is generally moving towards the use of probabilistic estimates of streamflow, primarily through the implementation of Ensemble Streamflow Prediction (ESP) systems, ensemble data assimilation methods, or multi-modeling platforms. However, evaluation of probabilistic outputs has not necessarily kept pace with ensemble generation. Much of the modeling community is still performing model evaluation using standard deterministic measures, such as error, correlation, or bias, typically applied to the ensemble mean or median. Probabilistic forecast verification methods have been well developed, particularly in the atmospheric sciences, yet few have been adopted for evaluating uncertainty estimates in hydrologic model simulations. In the current paper, we overview existing probabilistic forecast verification methods and apply the methods to evaluate and compare model ensembles produced from two different parameter uncertainty estimation methods: the Generalized Uncertainty Likelihood Estimator (GLUE), and the Shuffle Complex Evolution Metropolis (SCEM). Model ensembles are generated for the National Weather Service SACramento Soil Moisture Accounting (SAC-SMA) model for 12 forecast basins located in the Southeastern United States. We evaluate the model ensembles using relevant metrics in the following categories: distribution, correlation, accuracy, conditional statistics, and categorical statistics. We show that the presented probabilistic metrics are easily adapted to model simulation ensembles and provide a robust analysis of model performance associated with parameter uncertainty. Application of these methods requires no information in addition to what is already available as part of traditional model validation methodology and considers the entire ensemble or uncertainty range in the approach.

  15. Evaluating uncertainty estimates in hydrologic models: borrowing measures from the forecast verification community

    Directory of Open Access Journals (Sweden)

    K. J. Franz

    2011-11-01

    Full Text Available The hydrologic community is generally moving towards the use of probabilistic estimates of streamflow, primarily through the implementation of Ensemble Streamflow Prediction (ESP systems, ensemble data assimilation methods, or multi-modeling platforms. However, evaluation of probabilistic outputs has not necessarily kept pace with ensemble generation. Much of the modeling community is still performing model evaluation using standard deterministic measures, such as error, correlation, or bias, typically applied to the ensemble mean or median. Probabilistic forecast verification methods have been well developed, particularly in the atmospheric sciences, yet few have been adopted for evaluating uncertainty estimates in hydrologic model simulations. In the current paper, we overview existing probabilistic forecast verification methods and apply the methods to evaluate and compare model ensembles produced from two different parameter uncertainty estimation methods: the Generalized Uncertainty Likelihood Estimator (GLUE, and the Shuffle Complex Evolution Metropolis (SCEM. Model ensembles are generated for the National Weather Service SACramento Soil Moisture Accounting (SAC-SMA model for 12 forecast basins located in the Southeastern United States. We evaluate the model ensembles using relevant metrics in the following categories: distribution, correlation, accuracy, conditional statistics, and categorical statistics. We show that the presented probabilistic metrics are easily adapted to model simulation ensembles and provide a robust analysis of model performance associated with parameter uncertainty. Application of these methods requires no information in addition to what is already available as part of traditional model validation methodology and considers the entire ensemble or uncertainty range in the approach.

  16. Incorporating GIS building data and census housing statistics for sub-block-level population estimation

    Science.gov (United States)

    Wu, S.-S.; Wang, L.; Qiu, X.

    2008-01-01

    This article presents a deterministic model for sub-block-level population estimation based on the total building volumes derived from geographic information system (GIS) building data and three census block-level housing statistics. To assess the model, we generated artificial blocks by aggregating census block areas and calculating the respective housing statistics. We then applied the model to estimate populations for sub-artificial-block areas and assessed the estimates with census populations of the areas. Our analyses indicate that the average percent error of population estimation for sub-artificial-block areas is comparable to those for sub-census-block areas of the same size relative to associated blocks. The smaller the sub-block-level areas, the higher the population estimation errors. For example, the average percent error for residential areas is approximately 0.11 percent for 100 percent block areas and 35 percent for 5 percent block areas.

  17. Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences [version 2; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Charlotte Soneson

    2016-02-01

    Full Text Available High-throughput sequencing of cDNA (RNA-seq is used extensively to characterize the transcriptome of cells. Many transcriptomic studies aim at comparing either abundance levels or the transcriptome composition between given conditions, and as a first step, the sequencing reads must be used as the basis for abundance quantification of transcriptomic features of interest, such as genes or transcripts. Various quantification approaches have been proposed, ranging from simple counting of reads that overlap given genomic regions to more complex estimation of underlying transcript abundances. In this paper, we show that gene-level abundance estimates and statistical inference offer advantages over transcript-level analyses, in terms of performance and interpretability. We also illustrate that the presence of differential isoform usage can lead to inflated false discovery rates in differential gene expression analyses on simple count matrices but that this can be addressed by incorporating offsets derived from transcript-level abundance estimates. We also show that the problem is relatively minor in several real data sets. Finally, we provide an R package (tximport to help users integrate transcript-level abundance estimates from common quantification pipelines into count-based statistical inference engines.

  18. Estimating sea-level allowances for Atlantic Canada under conditions of uncertain sea-level rise

    Directory of Open Access Journals (Sweden)

    B. Greenan

    2015-03-01

    Full Text Available This paper documents the methodology of computing sea-level rise allowances for Atlantic Canada in the 21st century under conditions of uncertain sea-level rise. The sea-level rise allowances are defined as the amount by which an asset needs to be raised in order to maintain the same likelihood of future flooding events as that site has experienced in the recent past. The allowances are determined by combination of the statistics of present tides and storm surges (storm tides and the regional projections of sea-level rise and associated uncertainty. Tide-gauge data for nine sites from the Canadian Atlantic coast are used to derive the scale parameters of present sea-level extremes using the Gumbel distribution function. The allowances in the 21st century, with respect to the year 1990, were computed for the Intergovernmental Panel on Climate Change (IPCC A1FI emission scenario. For Atlantic Canada, the allowances are regionally variable and, for the period 1990–2050, range between –13 and 38 cm while, for the period 1990–2100, they range between 7 and 108 cm. The negative allowances in the northern Gulf of St. Lawrence region are caused by land uplift due to glacial isostatic adjustment (GIA.

  19. Estimating sea-level allowances for Atlantic Canada under conditions of uncertain sea-level rise

    Science.gov (United States)

    Greenan, B.; Zhai, L.; Hunter, J.; James, T. S.; Han, G.

    2015-03-01

    This paper documents the methodology of computing sea-level rise allowances for Atlantic Canada in the 21st century under conditions of uncertain sea-level rise. The sea-level rise allowances are defined as the amount by which an asset needs to be raised in order to maintain the same likelihood of future flooding events as that site has experienced in the recent past. The allowances are determined by combination of the statistics of present tides and storm surges (storm tides) and the regional projections of sea-level rise and associated uncertainty. Tide-gauge data for nine sites from the Canadian Atlantic coast are used to derive the scale parameters of present sea-level extremes using the Gumbel distribution function. The allowances in the 21st century, with respect to the year 1990, were computed for the Intergovernmental Panel on Climate Change (IPCC) A1FI emission scenario. For Atlantic Canada, the allowances are regionally variable and, for the period 1990-2050, range between -13 and 38 cm while, for the period 1990-2100, they range between 7 and 108 cm. The negative allowances in the northern Gulf of St. Lawrence region are caused by land uplift due to glacial isostatic adjustment (GIA).

  20. Harmonizing estimates of forest land area from national-level forest inventory and satellite imagery

    Science.gov (United States)

    Bonnie Ruefenacht; Mark D. Nelson; Mark Finco

    2009-01-01

    Estimates of forest land area are derived both from national-level forest inventories and satellite image-based map products. These estimates can differ substantially within subregional extents (e.g., states or provinces) primarily due to differences in definitions of forest land between inventory- and image-based approaches. We present a geospatial modeling approach...

  1. Sanitary and hygienic state estimation of population determined by cancer morbidity level

    International Nuclear Information System (INIS)

    Coretchi, L.; Cucereanu, A.

    2009-01-01

    The European recommendations of Cancer Register elaboration are presented in this paper. A short literature review about sanitary and hygienic estimation status of population thru determination of cancer morbidity level also has been performed. (authors)

  2. Population-level assessments should be emphasized over community/ecosystem-level assessments. Environmental Sciences Division Publication No. 1535

    International Nuclear Information System (INIS)

    Van Winkle, W.

    1980-01-01

    Arguments are presented in favor of emphasizing population-level assessments over community/ecosystem-level assessments. The two approaches are compared on each of four issues: (1) the nature of entrainment/impingement impacts; (2) the ability to forecast reliably for a single fish population as contrasted to the ability to forecast for an aquatic community or ecosystem; (3) practical considerations involving money, manpower, time, and the need to make decisions; and (4) the nature of societal and economic concerns. The conclusion on each of these four issues is that population-level assessments provide the optimal approach for evaluating the effects of entrainment and impingement mortality

  3. Tidally adjusted estimates of topographic vulnerability to sea level rise and flooding for the contiguous United States

    International Nuclear Information System (INIS)

    Strauss, Benjamin H; Ziemlinski, Remik; Weiss, Jeremy L; Overpeck, Jonathan T

    2012-01-01

    Because sea level could rise 1 m or more during the next century, it is important to understand what land, communities and assets may be most at risk from increased flooding and eventual submersion. Employing a recent high-resolution edition of the National Elevation Dataset and using VDatum, a newly available tidal model covering the contiguous US, together with data from the 2010 Census, we quantify low-lying coastal land, housing and population relative to local mean high tide levels, which range from ∼0 to 3 m in elevation (North American Vertical Datum of 1988). Previous work at regional to national scales has sometimes equated elevation with the amount of sea level rise, leading to underestimated risk anywhere where the mean high tide elevation exceeds 0 m, and compromising comparisons across regions with different tidal levels. Using our tidally adjusted approach, we estimate the contiguous US population living on land within 1 m of high tide to be 3.7 million. In 544 municipalities and 38 counties, we find that over 10% of the population lives below this line; all told, some 2150 towns and cities have some degree of exposure. At the state level, Florida, Louisiana, California, New York and New Jersey have the largest sub-meter populations. We assess topographic susceptibility of land, housing and population to sea level rise for all coastal states, counties and municipalities, from 0 to 6 m above mean high tide, and find important threat levels for widely distributed communities of every size. We estimate that over 22.9 million Americans live on land within 6 m of local mean high tide. (letter)

  4. Single-Camera Trap Survey Designs Miss Detections: Impacts on Estimates of Occupancy and Community Metrics.

    Science.gov (United States)

    Pease, Brent S; Nielsen, Clayton K; Holzmueller, Eric J

    2016-01-01

    The use of camera traps as a tool for studying wildlife populations is commonplace. However, few have considered how the number of detections of wildlife differ depending upon the number of camera traps placed at cameras-sites, and how this impacts estimates of occupancy and community composition. During December 2015-February 2016, we deployed four camera traps per camera-site, separated into treatment groups of one, two, and four camera traps, in southern Illinois to compare whether estimates of wildlife community metrics and occupancy probabilities differed among survey methods. The overall number of species detected per camera-site was greatest with the four-camera survey method (Pcamera survey method detected 1.25 additional species per camera-site than the one-camera survey method, and was the only survey method to completely detect the ground-dwelling silvicolous community. The four-camera survey method recorded individual species at 3.57 additional camera-sites (P = 0.003) and nearly doubled the number of camera-sites where white-tailed deer (Odocoileus virginianus) were detected compared to one- and two-camera survey methods. We also compared occupancy rates estimated by survey methods; as the number of cameras deployed per camera-site increased, occupancy estimates were closer to naïve estimates, detection probabilities increased, and standard errors of detection probabilities decreased. Additionally, each survey method resulted in differing top-ranked, species-specific occupancy models when habitat covariates were included. Underestimates of occurrence and misrepresented community metrics can have significant impacts on species of conservation concern, particularly in areas where habitat manipulation is likely. Having multiple camera traps per site revealed significant shortcomings with the common one-camera trap survey method. While we realize survey design is often constrained logistically, we suggest increasing effort to at least two camera traps

  5. Using the European Community Radon Software to estimate the individual health benefits of a domestic radon remediation programme

    International Nuclear Information System (INIS)

    Denman, A R; Groves-Kirkby, C J; Phillips, P S; Tornberg, R

    2004-01-01

    Radon can be present in domestic properties at high enough levels to pose a health risk. Such levels can usually be reduced by simple means. Studies on a group of radon-remediated homes in Northamptonshire, a radon affected area, have estimated the health benefits and cost effectiveness from remediation and have shown that remediation can be justified. These assessments have been based on collective population-average risk coefficients. The advent of the European Community Radon Software (ECRS) permits the consideration of individual risk. In particular, it can take into account individual smoking habits, which significantly affect risk, as current scientific opinion is that risks from radon and smoking are multiplicative. This note indicates how the software can be used, and the usefulness of this approach. (note)

  6. Reactor vessel water level estimation during severe accidents using cascaded fuzzy neural networks

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Dong Yeong; Yoo, Kwae Hwan; Choi, Geon Pil; Back, Ju Hyun; Na, Man Gyun [Dept. of Nuclear Engineering, Chosun University, Gwangju (Korea, Republic of)

    2016-06-15

    Global concern and interest in the safety of nuclear power plants have increased considerably since the Fukushima accident. In the event of a severe accident, the reactor vessel water level cannot be measured. The reactor vessel water level has a direct impact on confirming the safety of reactor core cooling. However, in the event of a severe accident, it may be possible to estimate the reactor vessel water level by employing other information. The cascaded fuzzy neural network (CFNN) model can be used to estimate the reactor vessel water level through the process of repeatedly adding fuzzy neural networks. The developed CFNN model was found to be sufficiently accurate for estimating the reactor vessel water level when the sensor performance had deteriorated. Therefore, the developed CFNN model can help provide effective information to operators in the event of a severe accident.

  7. Relations of serum phosphorus and calcium levels to the incidence of cardiovascular disease in the community.

    Science.gov (United States)

    Dhingra, Ravi; Sullivan, Lisa M; Fox, Caroline S; Wang, Thomas J; D'Agostino, Ralph B; Gaziano, J Michael; Vasan, Ramachandran S

    2007-05-14

    Higher levels of serum phosphorus and the calcium-phosphorus product are associated with increased mortality from cardiovascular disease (CVD) in patients with chronic kidney disease (CKD) or prior CVD. However, it is unknown if serum phosphorus levels influence vascular risk in individuals without CKD or CVD. We prospectively evaluated 3368 Framingham Offspring study participants (mean age, 44 years; 51% were women) free of CVD and CKD. We used multivariable Cox models to relate serum phosphorus and calcium levels to CVD incidence. On follow-up (mean duration, 16.1 years), there were 524 incident CVD events (159 in women). In multivariable analyses and adjusting for established risk factors and additionally for glomerular filtration rate and for hemoglobin, serum albumin, proteinuria, and C-reactive protein levels, a higher level of serum phosphorus was associated with an increased CVD risk in a continuous fashion (adjusted hazard ratio per increment of milligrams per deciliter, 1.31; 95% confidence interval, 1.05-1.63; P=.02; P value for trend across quartiles = .004). Individuals in the highest serum phosphorus quartile experienced a multivariable-adjusted 1.55-fold CVD risk (95% confidence interval, 1.16%-2.07%; P=.004) compared with those in the lowest quartile. These findings remained robust in time-dependent models that updated CVD risk factors every 4 years and in analyses restricted to individuals without proteinuria and an estimated glomerular filtration rate greater than 90 mL/min per 1.73 m(2). Serum calcium was not related to CVD risk. Higher serum phosphorus levels are associated with an increased CVD risk in individuals free of CKD and CVD in the community. These observations emphasize the need for additional research to elucidate the potential link between phosphorus homeostasis and vascular risk.

  8. Data correlation based noise level estimation for cone beam projection data.

    Science.gov (United States)

    Bai, Ti; Yan, Hao; Ouyang, Luo; Staub, David; Wang, Jing; Jia, Xun; Jiang, Steve B; Mou, Xuanqin

    2017-01-01

    In regularized iterative reconstruction algorithms, the selection of regularization parameter depends on the noise level of cone beam projection data. Our aim is to propose an algorithm to estimate the noise level of cone beam projection data. We first derived the data correlation of cone beam projection data in the Fourier domain, based on which, the signal and the noise were decoupled. Then the noise was extracted and averaged for estimation. An adaptive regularization parameter selection strategy was introduced based on the estimated noise level. Simulation and real data studies were conducted for performance validation. There exists an approximately zero-energy double-wedge area in the 3D Fourier domain of cone beam projection data. As for the noise level estimation results, the averaged relative errors of the proposed algorithm in the analytical/MC/spotlight-mode simulation experiments were 0.8%, 0.14% and 0.24%, respectively, and outperformed the homogeneous area based as well as the transformation based algorithms. Real studies indicated that the estimated noise levels were inversely proportional to the exposure levels, i.e., the slopes in the log-log plot were -1.0197 and -1.049 with respect to the short-scan and half-fan modes. The introduced regularization parameter selection strategy could deliver promising reconstructed image qualities. Based on the data correlation of cone beam projection data in Fourier domain, the proposed algorithm could estimate the noise level of cone beam projection data accurately and robustly. The estimated noise level could be used to adaptively select the regularization parameter.

  9. Observations and estimates of wave-driven water level extremes at the Marshall Islands

    Science.gov (United States)

    Merrifield, M. A.; Becker, J. M.; Ford, M.; Yao, Y.

    2014-10-01

    Wave-driven extreme water levels are examined for coastlines protected by fringing reefs using field observations obtained in the Republic of the Marshall Islands. The 2% exceedence water level near the shoreline due to waves is estimated empirically for the study sites from breaking wave height at the outer reef and by combining separate contributions from setup, sea and swell, and infragravity waves, which are estimated based on breaking wave height and water level over the reef flat. Although each component exhibits a tidal dependence, they sum to yield a 2% exceedence level that does not. A hindcast based on the breaking wave height parameterization is used to assess factors leading to flooding at Roi-Namur caused by an energetic swell event during December 2008. Extreme water levels similar to December 2008 are projected to increase significantly with rising sea level as more wave and tide events combine to exceed inundation threshold levels.

  10. Macro-level implicit HIV prejudice and the health of community residents with HIV.

    Science.gov (United States)

    Miller, Carol T; Varni, Susan E; Solomon, Sondra E; DeSarno, Michael J; Bunn, Janice Y

    2016-08-01

    This study examined how community levels of implicit HIV prejudice are associated with the psychological and physical well-being of people with HIV living in those same communities. It also examined whether community motivation to control prejudice and/or explicit HIV prejudice moderates the relationship of implicit prejudice and well-being. Participants were 206 people with HIV living in 42 different communities in New England who completed measures that assessed psychological distress, thriving, and physical well-being. Telephone surveys of 347 residents of these same communities (selected via random digit dialing) were used to assess community explicit HIV prejudice and motivation to control HIV prejudice. These community residents then completed an online measure of implicit prejudice toward people with HIV, the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998). Multilevel analyses showed that higher community implicit HIV prejudice was associated with greater psychological distress among residents with HIV living in that community. The physical well-being of participants with HIV was negatively related to community implicit HIV prejudice in communities in which residents were unmotivated to control HIV prejudice or had high levels of explicit HIV prejudice. These findings indicate that implicit prejudice of residents of real-world communities may create an environment that may impair the well-being of stigmatized people. Implicit prejudice can therefore be considered an element of macro-level or structural stigma. The discussion considered the possible role of implicit HIV prejudice on a community's social capital as a pathway by which it compromises the well-being of residents with HIV. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  11. Design of a two-level power system linear state estimator

    Science.gov (United States)

    Yang, Tao

    The availability of synchro-phasor data has raised the possibility of a linear state estimator if the inputs are only complex currents and voltages and if there are enough such measurements to meet observability and redundancy requirements. Moreover, the new digital substations can perform some of the computation at the substation itself resulting in a more accurate two-level state estimator. The objective of this research is to develop a two-level linear state estimator processing synchro-phasor data and estimating the states at both the substation level and the control center level. Both the mathematical algorithms that are different from those in the present state estimation procedure and the layered architecture of databases, communications and application programs that are required to support this two-level linear state estimator are described in this dissertation. Besides, as the availability of phasor measurements at substations will increase gradually, this research also describes how the state estimator can be enhanced to handle both the traditional state estimator and the proposed linear state estimator simultaneously. This provides a way to immediately utilize the benefits in those parts of the system where such phasor measurements become available and provides a pathway to transition to the smart grid of the future. The design procedure of the two-level state estimator is applied to two study systems. The first study system is the IEEE-14 bus system. The second one is the 179 bus Western Electricity Coordinating Council (WECC) system. The static database for the substations is constructed from the power flow data of these systems and the real-time measurement database is produced by a power system dynamic simulating tool (TSAT). Time-skew problems that may be caused by communication delays are also considered and simulated. We used the Network Simulator (NS) tool to simulate a simple communication system and analyse its time delay performance. These

  12. The transition from managed care to consumerism: a community-level status report.

    Science.gov (United States)

    Christianson, Jon B; Ginsburg, Paul B; Draper, Debra A

    2008-01-01

    This paper assesses the evolving "facilitated consumerism" model of health care at the community level using data from the Community Tracking Study (CTS). We find that in a relatively short time, large employers and health plans have made notable progress in putting the building blocks in place to support their vision of consumerism. However, developments in the CTS communities suggest that the consumerism strategy evolving in local markets is more nuanced than implied by some descriptions of health care consumerism.

  13. The Domestic Violence Fatality Review: Can It Mobilize Community-Level Change?

    Science.gov (United States)

    Storer, Heather L.; Lindhorst, Taryn; Starr, Kelly

    2015-01-01

    Domestic Violence Fatality Review (DVFR) teams are a means of identifying systems’ gaps in the coordinated response to domestic violence. While the number of homicide reviews has grown, little is known about whether DVFRs facilitate change in the community-level response to domestic violence. This research evaluated whether the recommendations made by one state-level DVFR had an effect on community and organizational priorities and practices. The results indicate that the recommendations influence countywide priorities, but less was done to implement the recommendations. DVFRs have the capacity to influence community-level change agendas; however, organizations need support moving from issue prioritization to implementation. PMID:25741174

  14. Community-level risk factors for notifiable gastrointestinal illness in the Northwest Territories, Canada, 1991-2008

    Directory of Open Access Journals (Sweden)

    Pardhan-Ali Aliya

    2013-01-01

    Full Text Available Abstract Background Enteric pathogens are an important cause of illness, however, little is known about their community-level risk factors (e.g., socioeconomic, cultural and physical environmental conditions in the Northwest Territories (NWT of Canada. The objective of this study was to undertake ecological (group-level analyses by combining two existing data sources to examine potential community-level risk factors for campylobacteriosis, giardiasis and salmonellosis, which are three notifiable (mandatory reporting to public health authorities at the time of diagnosis enteric infections. Methods The rate of campylobacteriosis was modeled using a Poisson distribution while rates of giardiasis and salmonellosis were modeled using a Negative Binomial distribution. Rate ratios (the ratio of the incidence of disease in the exposed group to the incidence of disease in the non-exposed group were estimated for infections by the three major pathogens with potential community-level risk factors. Results Significant (p≤0.05 associations varied by etiology. There was increased risk of infection with Salmonella for communities with higher proportions of ‘households in core need’ (unsuitable, inadequate, and/or unaffordable housing up to 42% after which the rate started to decrease with increasing core need. The risk of giardiasis was significantly higher both with increased ‘internal mobility’ (population moving between communities, and also where the community’s primary health facility was a health center rather than a full-service hospital. Communities with higher health expenditures had a significantly decreased risk of giardiasis. Results of modeling that focused on each of Giardia and Salmonella infections separately supported and expanded upon previous research outcomes that suggested health disparities are often associated with socioeconomic status, geographical and social mobility, as well as access to health care (e.g. facilities

  15. Small area estimation of proportions with different levels of auxiliary data.

    Science.gov (United States)

    Chandra, Hukum; Kumar, Sushil; Aditya, Kaustav

    2018-03-01

    Binary data are often of interest in many small areas of applications. The use of standard small area estimation methods based on linear mixed models becomes problematic for such data. An empirical plug-in predictor (EPP) under a unit-level generalized linear mixed model with logit link function is often used for the estimation of a small area proportion. However, this EPP requires the availability of unit-level population information for auxiliary data that may not be always accessible. As a consequence, in many practical situations, this EPP approach cannot be applied. Based on the level of auxiliary information available, different small area predictors for estimation of proportions are proposed. Analytic and bootstrap approaches to estimating the mean squared error of the proposed small area predictors are also developed. Monte Carlo simulations based on both simulated and real data show that the proposed small area predictors work well for generating the small area estimates of proportions and represent a practical alternative to the above approach. The developed predictor is applied to generate estimates of the proportions of indebted farm households at district-level using debt investment survey data from India. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  16. A Coupled Community-Level Assessment of Social and Physical Vulnerability to Hurricane Disasters

    Science.gov (United States)

    Kim, J. H.; Sutley, E. J.; Chowdhury, A. G.; Hamideh, S.

    2017-12-01

    A significant portion of the U.S. building inventory exists in hurricane- and flood-prone regions. The accompanying storm surge and rising water levels often result in the inundation of residential homes, particularly those occupied by low income households and forcing displacement. In order to mitigate potential damages, a popular design technique is to elevate the structure using piers or piles to above the base flood elevation. This is observed for single-family and multi-family homes, including manufactured homes and post-disaster temporary housing, albeit at lower elevations. Although this design alleviates potential flood damage, it affects the wind-structure interaction by subjecting the structure to higher wind speeds due to its increased height and also having a path for the wind to pass underneath the structure potentially creating new vulnerabilities to wind loading. The current ASCE 7 Standard (2016) does not include a methodology for addressing the modified aerodynamics and estimating wind loads for elevated structures, and thus the potential vulnerability during high wind events is unaccounted for in design. Using experimentally measured wind pressures on elevated and non-elevated residential building models, tax data, and census data, a coupled vulnerability assessment is performed at the community-level. Galveston, Texas is selected as the case study community. Using the coupled assessment model, a hindcast of 2008 Hurricane Ike is used for predicting physical damage and household dislocation. The predicted results are compared with the actual outcomes of the 2008 hurricane disaster. Recommendations are made (1) for code adoption based on the experimentally measured wind loads, and (2) for mitigation actions and policies that would could decrease population dislocation and promote recovery.

  17. Low Power Design with High-Level Power Estimation and Power-Aware Synthesis

    CERN Document Server

    Ahuja, Sumit; Shukla, Sandeep Kumar

    2012-01-01

    Low-power ASIC/FPGA based designs are important due to the need for extended battery life, reduced form factor, and lower packaging and cooling costs for electronic devices. These products require fast turnaround time because of the increasing demand for handheld electronic devices such as cell-phones, PDAs and high performance machines for data centers. To achieve short time to market, design flows must facilitate a much shortened time-to-product requirement. High-level modeling, architectural exploration and direct synthesis of design from high level description enable this design process. This book presents novel research techniques, algorithms,methodologies and experimental results for high level power estimation and power aware high-level synthesis. Readers will learn to apply such techniques to enable design flows resulting in shorter time to market and successful low power ASIC/FPGA design. Integrates power estimation and reduction for high level synthesis, with low-power, high-level design; Shows spec...

  18. Association between individual-level and community-level socio-economic status and blood pressure among Inuit in Greenland

    DEFF Research Database (Denmark)

    Riva, Mylène; Larsen, C. V. L.; Bjerregaard, Peter

    2016-01-01

    and older participated. Blood pressure is measured using an automatic device, according to standardized protocol. Individual SES is measured by education. Community socio-economic conditions are measured using combined information on average disposable household income and settlement type. Results....... Education was not significantly associated with blood pressure. There was an inverse U-shape association between community socio-economic conditions and blood pressure with significantly lower SBP and DBP among participants living in remote traditional villages characterized by lower average disposable...... household income and in affluent more urbanized towns. Sex-stratified analyses demonstrate the salience of community conditions for men. Conclusions. The association observed between blood pressure and community-level socio-economic conditions suggests that public health and social policies, programmes...

  19. Landscape and patch-level factors influence bird communities in an urbanized tropical island

    Science.gov (United States)

    Marcela Suarez-Rubio; John R. Thomlinson

    2009-01-01

    As human population continues to increase and intensification of human land use escalates, it is important to address the role of urban forest patches in supporting bird communities. We related bird species richness and community assemblage to landscape- and patch- level factors in 40 forest patches in the densely populated metropolitan area of San Juan, Puerto Rico....

  20. Individual v. community-level measures of women's decision-making ...

    African Journals Online (AJOL)

    Modelling procedure. Models were fitted in four stages in order to explore the influence of individual- and community-level DMI on childhood mortality. First, the effect of each covariate was assessed using univariate models with one independent variable at a time. The covariates in model I were individual- and community-.

  1. Individual and community risk factors and sexually transmitted diseases among arrested youths: a two level analysis.

    Science.gov (United States)

    Dembo, Richard; Belenko, Steven; Childs, Kristina; Wareham, Jennifer; Schmeidler, James

    2009-08-01

    High rates of infection for chlamydia and gonorrhea have been noted among youths involved in the juvenile justice system. Although both individual and community-level factors have been found to be associated with sexually transmitted disease (STD) risk, their relative importance has not been tested in this population. A two-level logistic regression analysis was completed to assess the influence of individual-level and community-level predictors on STD test results among arrested youths processed at a centralized intake facility. Results from weighted two level logistic regression analyses (n = 1,368) indicated individual-level factors of gender (being female), age, race (being African American), and criminal history predicted the youths' positive STD status. For the community-level predictors, concentrated disadvantage significantly and positively predicted the youths' STD status. Implications of these findings for future research and public health policy are discussed.

  2. A reconciled estimate of glacier contributions to sea level rise: 2003 to 2009.

    Science.gov (United States)

    Gardner, Alex S; Moholdt, Geir; Cogley, J Graham; Wouters, Bert; Arendt, Anthony A; Wahr, John; Berthier, Etienne; Hock, Regine; Pfeffer, W Tad; Kaser, Georg; Ligtenberg, Stefan R M; Bolch, Tobias; Sharp, Martin J; Hagen, Jon Ove; van den Broeke, Michiel R; Paul, Frank

    2013-05-17

    Glaciers distinct from the Greenland and Antarctic Ice Sheets are losing large amounts of water to the world's oceans. However, estimates of their contribution to sea level rise disagree. We provide a consensus estimate by standardizing existing, and creating new, mass-budget estimates from satellite gravimetry and altimetry and from local glaciological records. In many regions, local measurements are more negative than satellite-based estimates. All regions lost mass during 2003-2009, with the largest losses from Arctic Canada, Alaska, coastal Greenland, the southern Andes, and high-mountain Asia, but there was little loss from glaciers in Antarctica. Over this period, the global mass budget was -259 ± 28 gigatons per year, equivalent to the combined loss from both ice sheets and accounting for 29 ± 13% of the observed sea level rise.

  3. Inhalation and ingestion intakes with associated dose estimates for level II and level III personnel using Capstone study data.

    Science.gov (United States)

    Szrom, Frances; Falo, Gerald A; Lodde, Gordon M; Parkhurst, Mary Ann; Daxon, Eric G

    2009-03-01

    Depleted uranium (DU) intake rates and subsequent dose rates were estimated for personnel entering armored combat vehicles perforated with DU penetrators (level II and level III personnel) using data generated during the Capstone DU Aerosol Study. Inhalation intake rates and associated dose rates were estimated from cascade impactors worn by sample recovery personnel and from cascade impactors that served as area monitors. Ingestion intake rates and associated dose rates were estimated from cotton gloves worn by sample recovery personnel and from wipe-tests samples from the interior of vehicles perforated with large-caliber DU munitions. The mean DU inhalation intake rate for level II personnel ranged from 0.447 mg h(-1) based on breathing zone monitor data (in and around a perforated vehicle) to 14.5 mg h(-1) based on area monitor data (in a perforated vehicle). The mean DU ingestion intake rate for level II ranged from 4.8 mg h(-1) to 38.9 mg h(-1) based on the wipe-tests data including surface-to-glove transfer factors derived from the Capstone data. Based on glove contamination data, the mean DU ingestion intake rates for level II and level III personnel were 10.6 mg h(-1) and 1.78 mg h(-1), respectively. Effective dose rates and peak kidney uranium concentration rates were calculated based on the intake rates. The peak kidney uranium concentration rate cannot be multiplied by the total exposure duration when multiple intakes occur because uranium will clear from the kidney between the exposures.

  4. Comparing facility-level methane emission rate estimates at natural gas gathering and boosting stations

    Directory of Open Access Journals (Sweden)

    Timothy L. Vaughn

    2017-11-01

    Full Text Available Coordinated dual-tracer, aircraft-based, and direct component-level measurements were made at midstream natural gas gathering and boosting stations in the Fayetteville shale (Arkansas, USA. On-site component-level measurements were combined with engineering estimates to generate comprehensive facility-level methane emission rate estimates (“study on-site estimates (SOE” comparable to tracer and aircraft measurements. Combustion slip (unburned fuel entrained in compressor engine exhaust, which was calculated based on 111 recent measurements of representative compressor engines, accounts for an estimated 75% of cumulative SOEs at gathering stations included in comparisons. Measured methane emissions from regenerator vents on glycol dehydrator units were substantially larger than predicted by modelling software; the contribution of dehydrator regenerator vents to the cumulative SOE would increase from 1% to 10% if based on direct measurements. Concurrent measurements at 14 normally-operating facilities show relative agreement between tracer and SOE, but indicate that tracer measurements estimate lower emissions (regression of tracer to SOE = 0.91 (95% CI = 0.83–0.99, R2 = 0.89. Tracer and SOE 95% confidence intervals overlap at 11/14 facilities. Contemporaneous measurements at six facilities suggest that aircraft measurements estimate higher emissions than SOE. Aircraft and study on-site estimate 95% confidence intervals overlap at 3/6 facilities. The average facility level emission rate (FLER estimated by tracer measurements in this study is 17–73% higher than a prior national study by Marchese et al.

  5. Community level composting in a developing country: case study of KIWODET, Tanzania

    NARCIS (Netherlands)

    Oberlin, A.S.; Szanto, G.L.

    2011-01-01

    Environmentally sustainable waste management practices have a limited relevance and viability in developing countries. Despite a technological potential, composting initiatives often share this fate. Little is known about the functioning of community level composting, which is reportedly the optimal

  6. A Coordinated Approach to Communicating Pediatric-Related Information on Pandemic Influenza at the Community Level

    Energy Technology Data Exchange (ETDEWEB)

    HCTT CHE

    2009-12-16

    The purpose of this document is to provide a suggested approach, based on input from pediatric stakeholders, to communicating pediatric-related information on pandemic influenza at the community level in a step-by-step manner.

  7. Individual and community level socioeconomic inequalities in contraceptive use in 10 Newly Independent States: a multilevel cross-sectional analysis

    Directory of Open Access Journals (Sweden)

    Janevic Teresa

    2012-11-01

    Full Text Available Abstract Introduction Little is known regarding the association between socioeconomic factors and contraceptive use in the Newly Independent States (NIS, countries that have experienced profound changes in reproductive health services during the transition from socialism to a market economy. Methods Using 2005–2006 data from Demographic Health Surveys (Armenia, Azerbaijan, and Moldova and Multiple Indicator Cluster Surveys (Belarus, Georgia, Kazakhstan, Kyrgyzstan, Tajikistan, Ukraine, and Uzbekistan, we examined associations between individual and community socioeconomic status with current modern contraceptive use (MCU among N = 55,204 women aged 15–49 married or in a union. Individual socioeconomic status was measured using quintiles of wealth index and education level (higher than secondary school, secondary school or less. Community socioeconomic status was measured as the percentage of households in the poorest quintile of the nationals household wealth index (0%, 0–25%, or greater than 25%. We used multilevel logistic regression to estimate associations adjusted for age, number of children, urban/rural, and socioeconomic variables. Results MCU varied by country from 14% (in Azerbaijan to 62% (in Belarus. Overall, women living in the poorest communities were less likely than those in the richest to use modern contraceptives (adjusted odds ratio (aOR = 0.82, 95% Confidence Interval = 0.76, 0.89. Similarly, there was an increasing odds of MCU with increasing individual-level wealth. Women with a lower level of education also had lower odds of MCU than those with a higher level of education (aOR = .75, 95%CI = 0.71, 0.79. In country-specific analyses, community-level socioeconomic inequalities were apparent in 4 of 10 countries; in contrast, inequalities by individual-level wealth were apparent in 7 countries and by education in 8 countries. All countries in which community-level socioeconomic status was associated with

  8. Individual and community level socioeconomic inequalities in contraceptive use in 10 Newly Independent States: a multilevel cross-sectional analysis.

    Science.gov (United States)

    Janevic, Teresa; Sarah, Pallas W; Leyla, Ismayilova; Elizabeth, Bradley H

    2012-11-16

    Little is known regarding the association between socioeconomic factors and contraceptive use in the Newly Independent States (NIS), countries that have experienced profound changes in reproductive health services during the transition from socialism to a market economy. Using 2005-2006 data from Demographic Health Surveys (Armenia, Azerbaijan, and Moldova) and Multiple Indicator Cluster Surveys (Belarus, Georgia, Kazakhstan, Kyrgyzstan, Tajikistan, Ukraine, and Uzbekistan), we examined associations between individual and community socioeconomic status with current modern contraceptive use (MCU) among N = 55,204 women aged 15-49 married or in a union. Individual socioeconomic status was measured using quintiles of wealth index and education level (higher than secondary school, secondary school or less). Community socioeconomic status was measured as the percentage of households in the poorest quintile of the nationals household wealth index (0%, 0-25%, or greater than 25%). We used multilevel logistic regression to estimate associations adjusted for age, number of children, urban/rural, and socioeconomic variables. MCU varied by country from 14% (in Azerbaijan) to 62% (in Belarus). Overall, women living in the poorest communities were less likely than those in the richest to use modern contraceptives (adjusted odds ratio (aOR) = 0.82, 95% Confidence Interval = 0.76, 0.89). Similarly, there was an increasing odds of MCU with increasing individual-level wealth. Women with a lower level of education also had lower odds of MCU than those with a higher level of education (aOR = .75, 95%CI = 0.71, 0.79). In country-specific analyses, community-level socioeconomic inequalities were apparent in 4 of 10 countries; in contrast, inequalities by individual-level wealth were apparent in 7 countries and by education in 8 countries. All countries in which community-level socioeconomic status was associated with MCU were in Central Asia, whereas at the individual-level

  9. Physical activity level and fall risk among community-dwelling older adults

    OpenAIRE

    Low, Sok Teng; Balaraman, Thirumalaya

    2017-01-01

    [Purpose] To find the physical activity level and fall risk among the community-dwelling Malaysian older adults and determine the correlation between them. [Subjects and Methods] A cross-sectional study was conducted in which, the physical activity level was evaluated using the Rapid Assessment of Physical Activity questionnaire and fall risk with Fall Risk Assessment Tool. Subjects recruited were 132 community-dwelling Malaysian older adults using the convenience sampling method. [Results] T...

  10. Community-based population-level interventions for promoting child oral health.

    OpenAIRE

    de Silva, AM; Hegde, S; Akudo Nwagbara, B; Calache, H; Gussy, MG; Nasser, M; Morrice, HR; Riggs, E; Leong, PM; Meyenn, LK; Yousefi-Nooraie, R

    2016-01-01

    BACKGROUND: Dental caries and gingival and periodontal disease are commonly occurring, preventable chronic conditions. Even though much is known about how to treat oral disease, currently we do not know which community-based population-level interventions are most effective and equitable in preventing poor oral health. OBJECTIVES: Primary • To determine the effectiveness of community-based population-level oral health promotion interventions in preventing dental caries and gingival and period...

  11. Estimation of fluoride levels in various commercially available carbonated soft drinks in Chandigarh city, India

    Directory of Open Access Journals (Sweden)

    Mohit Bansal

    2015-01-01

    Full Text Available Introduction: Fluoride has a preventive action on dental caries. However, Excessive ingestion of fluoride from different sources can lead to the development of dental fluorosis. Aim: To estimate fluoride levels in various commercially available carbonated soft drinks available in Chandigarh city. Materials and Methods: Twelve different brands of commercially available soft drinks were purchased from three different places and divided into three groups. Fluoride levels were estimated using fluoride test strips Quantofix 37211 Fluka; Sigma-Aldrich. Results: Fluoride levels ranged from 0.12 to 0.42 mg/dl F with the maximum level in Thumbs up and least in Diet Pepsi. Conclusion: The levels of fluoride varied in various carbonated soft drinks analyzed. This could contribute significantly to the total fluoride intake from all sources and thus be an important risk factor for the development of dental fluorosis.

  12. Open-Source Python Modules to Estimate Level Ice Thickness from Ice Charts

    Science.gov (United States)

    Geiger, C. A.; Deliberty, T. L.; Bernstein, E. R.; Helfrich, S.

    2012-12-01

    A collaborative research effort between the University of Delaware (UD) and National Ice Center (NIC) addresses the task of providing open-source translations of sea ice stage-of-development into level ice thickness estimates on a 4km grid for the Interactive Multisensor Snow and Ice Mapping System (IMS). The characteristics for stage-of-development are quantified from remote sensing imagery with estimates of level ice thickness categories originating from World Meteorological Organization (WMO) egg coded ice charts codified since the 1970s. Conversions utilize Python scripting modules which transform electronic ice charts with WMO egg code characteristics into five level ice thickness categories, in centimeters, (0-10, 10-30, 30-70, 70-120, >120cm) and five ice types (open water, first year pack ice, fast ice, multiyear ice, and glacial ice with a reserve slot for deformed ice fractions). Both level ice thickness categories and ice concentration fractions are reported with uncertainties propagated based on WMO ice stage ranges which serve as proxy estimates for standard deviation. These products are in preparation for use by NCEP, CMC, and NAVO by 2014 based on their modeling requirements for daily products in near-real time. In addition to development, continuing research tests the value of these estimated products against in situ observations to improve both value and uncertainty estimates.

  13. Community organizing practices in a globalizing era: building power for health equity at the community level.

    Science.gov (United States)

    Speer, Paul W; Tesdahl, Eric A; Ayers, Jeanne F

    2014-01-01

    In the postindustrial era, global economic processes have constrained the ability of local agencies, service providers, and civic groups to respond to systemic challenges in public health. Community health psychology can benefit by focusing on interventions through mediating structures that develop innovative methods of leveraging power in the context of globalizing economic forces. Promising methods include careful analysis of power within targeted policy domains and developing strategic alliances with others, so as to exercise social power to affect policy change. The case of ISAIAH, an organizing group based in Minnesota, illustrates innovative avenues for intervention in the context of globalization.

  14. Estimating the impact of Medicare part D on the profitability of independent community pharmacies.

    Science.gov (United States)

    Carroll, Norman V

    2008-10-01

    Medicare Part D provides insurance coverage for prescription drugs to elderly and disabled consumers. Part D accounted for 24% of prescriptions dispensed by independent pharmacies in the first year of the program (2006). To date, the impact of Part D on independent pharmacies has been explored only in small, qualitative, or non-peer-reviewed studies. To develop preliminary estimates of the impact of Part D on independent pharmacies' profitability. A financial model was built to examine the impact of Part D on pharmacy profitability. A key input value was the gross margin percentage for Part D; the midpoint of estimates reported in the literature was used as the base-case input value. The remaining model inputs were derived from 2 non-peer-reviewed published sources: (a) the National Community Pharmacist Association (NCPA)'s survey of independent pharmacies, which provided financial data for the year prior to Part D implementation (2005); and (b) IMS Health national market research data, which provided information about changes in prescription drug utilization from 2005 to 2006. Model estimates represented a "typical" independent pharmacy, defined using mean values for financial measures in 2005 as reported by NCPA. The model examined the impact of Part D on the proportion of prescriptions reimbursed by other sources (private third-party insurance, Medicaid, and cash payments by patients); pharmacies' overall prescription gross margin; the number of Part D-induced prescriptions; the number of prescriptions lost to mail-order pharmacies; and net income before taxes. Key values and assumptions were subjected to one-way and probabilistic sensitivity analyses. The model indicated that implementation of Part D resulted in a mean (SD) 22% (4%) decrease in net income before taxes. This change was primarily the result of an absolute 0.7% decline in the gross margin for all prescriptions. The lower overall gross margin resulted from lower reimbursement on Part D

  15. Effective inundation of continental United States communities with 21st century sea level rise

    Directory of Open Access Journals (Sweden)

    Kristina A. Dahl

    2017-07-01

    Full Text Available Recurrent, tidally driven coastal flooding is one of the most visible signs of sea level rise. Recent studies have shown that such flooding will become more frequent and extensive as sea level continues to rise, potentially altering the landscape and livability of coastal communities decades before sea level rise causes coastal land to be permanently inundated. In this study, we identify US communities that will face effective inundation—defined as having 10% or more of livable land area flooded at least 26 times per year—with three localized sea level rise scenarios based on projections for the 3rd US National Climate Assessment. We present these results in a new, online interactive tool that allows users to explore when and how effective inundation will impact their communities. In addition, we identify communities facing effective inundation within the next 30 years that contain areas of high socioeconomic vulnerability today using a previously published vulnerability index. With the Intermediate-High and Highest sea level rise scenarios, 489 and 668 communities, respectively, would face effective inundation by the year 2100. With these two scenarios, more than half of communities facing effective inundation by 2045 contain areas of current high socioeconomic vulnerability. These results highlight the timeframes that US coastal communities have to respond to disruptive future inundation. The results also underscore the importance of limiting future warming and sea level rise: under the Intermediate-Low scenario, used as a proxy for sea level rise under the Paris Climate Agreement, 199 fewer communities would be effectively inundated by 2100.

  16. Estimating Plasmodium falciparum transmission rates in low-endemic settings using a combination of community prevalence and health facility data.

    Directory of Open Access Journals (Sweden)

    Joshua Yukich

    Full Text Available As some malaria control programs shift focus from disease control to transmission reduction, there is a need for transmission data to monitor progress. At lower levels of transmission, it becomes increasingly more difficult to measure precisely, for example through entomological studies. Many programs conduct regular cross sectional parasite prevalence surveys, and have access to malaria treatment data routinely collected by ministries of health, often in health management information systems. However, by themselves, these data are poor measures of transmission. In this paper, we propose an approach for combining annual parasite incidence and treatment data with cross-sectional parasite prevalence and treatment seeking survey data to estimate the incidence of new infections in the human population, also known as the force of infection. The approach is based on extension of a reversible catalytic model. The accuracy of the estimates from this model appears to be highly dependent on levels of detectability and treatment in the community, indicating the importance of information on private sector treatment seeking and access to effective and appropriate treatment.

  17. Estimating Air Pollution Removal Through an Analysis of Vegetation Communities in Government Canyon State Natural Area

    Science.gov (United States)

    Medrano, Nicolas W.

    Ambient air pollution is a major issue in urban environments, causing negative health impacts and increasing costs for metropolitan economies. Vegetation has been shown to remove these pollutants at a substantial rate. This study utilizes the i-Tree Eco (UFORE) and i-Tree Canopy models to estimate air pollution removal services provided by trees in Government Canyon State Natural Area (GCSNA), an approximately 4,700 hectare area in San Antonio, Texas. For i-Tree Eco, a stratified project of the five prominent vegetation types was completed. A comparison of removal services provided by vegetation communities indicated there was no significant difference in removal rates. Total pollution removal of GCSNA was estimated to be 239.52 metric tons/year at a rate of 64.42 kg/ha of tree cover/year. By applying this value to the area within Bexar County, Texas belonging to the Balcones Canyonlands ecoregion, it was determined that for 2013 an estimated 2,598.45 metric tons/year of air pollution was removed at a health value to society of 19.4 million. This is a reduction in pollution removal services since 2003, in which 3,050.35 metric tons/year were removed at a health value of 22.8 million. These results suggest urban sprawl taking place in San Antonio is reducing air pollution removal services provided by trees.

  18. Multimedia approach to estimating target cleanup levels for soils at hazardous waste sites

    International Nuclear Information System (INIS)

    Hwang, S.T.

    1990-04-01

    Contaminated soils at hazardous and nuclear waste sites pose a potential threat to human health via transport through environmental media and subsequent human intake. To minimize health risks, it is necessary to identify those risks and ensure that appropriate actions are taken to protect public health. The regulatory process may typically include identification of target cleanup levels and evaluation of the effectiveness of remedial alternatives and the corresponding reduction in risks at a site. The US Environmental Protection Agency (EPA) recommends that exposure assessments be combined with toxicity information to quantify the health risk posed by a specific site. This recommendation then forms the basis for establishing target cleanup levels. An exposure assessment must first identify the chemical concentration in a specific medium (soil, water, air, or food), estimate the exposure potential based on human intake from that media, and then combined with health criteria to estimate the upperbound health risks for noncarcinogens and carcinogens. Estimation of target cleanup levels involves the use of these same principles but can occur in reverse order. The procedure starts from establishing a permissible health effect level and ends with an estimated target cleanup level through an exposure assessment process. 17 refs

  19. More Precise Estimation of Lower-Level Interaction Effects in Multilevel Models.

    Science.gov (United States)

    Loeys, Tom; Josephy, Haeike; Dewitte, Marieke

    2018-03-20

    In hierarchical data, the effect of a lower-level predictor on a lower-level outcome may often be confounded by an (un)measured upper-level factor. When such confounding is left unaddressed, the effect of the lower-level predictor is estimated with bias. Separating this effect into a within- and between-component removes such bias in a linear random intercept model under a specific set of assumptions for the confounder. When the effect of the lower-level predictor is additionally moderated by another lower-level predictor, an interaction between both lower-level predictors is included into the model. To address unmeasured upper-level confounding, this interaction term ought to be decomposed into a within- and between-component as well. This can be achieved by first multiplying both predictors and centering that product term next, or vice versa. We show that while both approaches, on average, yield the same estimates of the interaction effect in linear models, the former decomposition is much more precise and robust against misspecification of the effects of cross-level and upper-level terms, compared to the latter.

  20. Using community-level metrics to monitor the effects of marine protected areas on biodiversity.

    Science.gov (United States)

    Soykan, Candan U; Lewison, Rebecca L

    2015-06-01

    Marine protected areas (MPAs) are used to protect species, communities, and their associated habitats, among other goals. Measuring MPA efficacy can be challenging, however, particularly when considering responses at the community level. We gathered 36 abundance and 14 biomass data sets on fish assemblages and used meta-analysis to evaluate the ability of 22 distinct community diversity metrics to detect differences in community structure between MPAs and nearby control sites. We also considered the effects of 6 covariates-MPA size and age, MPA size and age interaction, latitude, total species richness, and level of protection-on each metric. Some common metrics, such as species richness and Shannon diversity, did not differ consistently between MPA and control sites, whereas other metrics, such as total abundance and biomass, were consistently different across studies. Metric responses derived from the biomass data sets were more consistent than those based on the abundance data sets, suggesting that community-level biomass differs more predictably than abundance between MPA and control sites. Covariate analyses indicated that level of protection, latitude, MPA size, and the interaction between MPA size and age affect metric performance. These results highlight a handful of metrics, several of which are little known, that could be used to meet the increasing demand for community-level indicators of MPA effectiveness. © 2015 Society for Conservation Biology.

  1. DDE in birds' eggs: Comparisons of two methods for estimating critical levels

    Science.gov (United States)

    Blus, L.J.

    1984-01-01

    The sample egg technique and eggshell thickness-residue regression analysis were comparatively evaluated as tools in estimating critical levels of DDE in birds? eggs that seriously affect reproductive successa nd population starts....In comparing critical values of DDE that were derived from the two methods, the estimates were lower using the sample egg technique for both the Brown Pelican (3 ?g/g vs 8 ?g/g) and the Black-crowned Night-Heron (12?g/g/ vs 54 ?g/g) assuming a critical value of eggshell thinning at 20%....Extension of the regression line beyond the eggshell thickness-DDE residue data base is likely to result in spurious critical values of DDE. When sufficient thickness and residue data are available for estimating critical values of DDE from the regression equation, the estimates are meaningful but are likely to be inflated because adverse effects unrelated to eggshell thinning such as parental behavior and embryotoxicity unrelated to eggshell deficiencies are not taken into account.....Establishing critical levels of pollutants in eggs and tissues is a necessary procedure in assessing effects of these chemicals on individuals and populations of sensitive species. There are inherent difficulties in quantifying the effects of any pollutant on population trends and declines in productivity. The sample egg technique is apparently a more sensitive method for estimating critical levels of DDE, but some subjective interpretation is required for results obtained by both methods.

  2. Estimates of diagnostic reference levels for common radiographic x-ray examinations in some sudanese hospitals

    International Nuclear Information System (INIS)

    Awad, Ezdehar Mohammed Satti.

    2016-03-01

    The objective of this study were to estimate patient dose in some common diagnostic x-ray examinations in Sudan with the aim to propose national diagnostic reference levels (DRLs). Radiation doses were estimated for the patients in 23 public hospitals in different town in Sudan (Wad-Madani, Kasala, Atbara Al obaid, Al nhod, Khartoum). Entrance surface air kerma (ESAK) was estimated in a three steps protocol: First, x-ray unit output Y (d) was measured at a distance at a distance (d) for different peak tube voltages and tube loading (mAs). Next, incident air kerma (k) was calculated from Y (d) using inverse square law combined with patient exposure factors. ESAK was calculated from k using backscatter factor, B. Mean ESAK values were comparable to those reported in other countries and are below reference dose levels. The estimated mean ESAK values were: 0.4, 1.9, 1.8, 3.2, 2.4, 3.5, and 8.4 mGy for chests . The estimated mean ESAK values were 0.4, 1.9, 1.8, 3.2, 2.4, 3,5, and 8.4 mGy for chest PA, Skull AP/PA, Skull LAT, Abdomen Pelvis AP, Lumber Spine AP and Lumber Spine LAT examination respectively. The results are used for dose optimization and to propose national diagnostic reference levels. (Author)

  3. Uncertainty of mass discharge estimation from contaminated sites at screening level

    DEFF Research Database (Denmark)

    Thomsen, Nanna Isbak; Troldborg, M.; McKnight, Ursula S.

    that only the sites that present an actual risk are further investigated and perhaps later remediated. We propose a method for quantifying the uncertainty of dynamic mass discharge estimates from poorly characterised contaminant point sources on the local scale. Techniques for estimating dynamic uncertainty......Contaminated sites threaten groundwater resources worldwide. The number of contaminated sites is large and there are too few economic resources available to ensure a thorough investigation and remediation of them all. Risk assessment must already be done at a screening level in order to ensure...... are not currently available for such sites. Mass discharge estimates (mass/time) have been proposed as a useful metric in risk assessment, because they provide an estimate of the impact of a contaminated site on a given water resource and allow for the comparison of impact between different sites. But mass...

  4. Crack Level Estimation Approach for Planetary Gear Sets Based on Simulation Signal and GRA

    Science.gov (United States)

    Cheng, Zhe; Hu, Niaoqing; Zuo, Mingjian; Fan, Bin

    2012-05-01

    The planetary gearbox is a critical mechanism in helicopter transmission systems. Tooth failures in planetary gear sets will cause great risk to helicopter operations. A crack level estimation methodology has been devised in this paper by integrating a physical model for simulation signal generation and a grey relational analysis (GRA) algorithm for damage level estimation. The proposed method was calibrated firstly with fault seeded test data and then validated with the data of other tests from a helicopter transmission test rig. The estimation results of test data coincide with the actual test records, showing the effectiveness and accuracy of the method in providing a novel way to hybrid model based methods and signal analysis methods for more accurate health monitoring and condition prediction.

  5. Estimation of genetic variability level in inbred CF1 mouse lines ...

    Indian Academy of Sciences (India)

    3Cátedra de Producción de Bovinos para carne, Facultad de Ciencias Veterinarias, CIC, Universidad Nacional de Rosario,. Argentina, Ov. Lagos y Ruta 33 (2170) Casilda, Argentina. [Renny M., Julio N. B., Bernardi S. F., Gardenal C. N. and Oyarzabal M. I. 2014 Estimation of genetic variability level in inbred CF1 mouse.

  6. Estimating decadal variability in sea level from tide gauge records : An application to the North Sea

    NARCIS (Netherlands)

    Frederikse, T.; Riva, R.E.M.; Slobbe, D.C.; Broerse, D.B.T.; Verlaan, M.

    2016-01-01

    One of the primary observational data sets of sea level is represented by the tide gauge record. We propose a new method to estimate variability on decadal time scales from tide gauge data by using a state space formulation, which couples the direct observations to a predefined state space model

  7. Estimating decadal variability in sea level from tide gauge records: An application to the North Sea

    NARCIS (Netherlands)

    Frederikse, Thomas; Riva, R.E.M.; Slobbe, Cornelis; Broerse, D.B.T.; Verlaan, Martin

    2016-01-01

    One of the primary observational data sets of sea level is represented by the tide gauge record. We propose a new method to estimate variability on decadal time scales from tide gauge data by using a state space formulation, which couples the direct observations to a predefined state space model by

  8. Dimensionality estimation for group fMRI data reduction at multiple levels

    Science.gov (United States)

    Chen, Sharon; Ross, Thomas J.; Chuang, Keh-Shih; Stein, Elliot A.; Yang, Yihong; Zhan, Wang

    2007-03-01

    Current techniques substantially overestimate the dimensionality of group fMRI data, and this problem worsens when principle component analysis (PCA) based data reductions are applied at multiple levels. In this paper, the mechanism of the overestimation is investigated, and a new method is developed for more reliable dimensionality estimation for group fMRI data at multiple levels. Simulation suggests that small variation of the signal components within a group is a major cause of dimensionality overestimation. To obtain an improved estimation, appropriate colored noise is added into the group fMRI data in order to blur the signal component variations. The noise parameters are estimated from the original fMRI data, and the improved dimensionality is determined by applying a first-order autoregressive (AR(1)) noise fitting technique to the PCA spectrum. The proposed method was tested on group resting-state fMRI datasets acquired from 14 normal human subjects in 5 different sessions. The PCA-based data reductions were performed at 3 levels in either "individual-session-subject" or "individual-subject-session" order. Results indicate that the proposed method significantly reduces the dimensionality overestimation for multiple level data reductions. Consistency of the estimated dimensionalities is observed with different group orders of the data reduction.

  9. Estimating the population-level effectiveness of vaccination program in the Netherlands

    NARCIS (Netherlands)

    van Wijhe, Maarten; McDonald, Scott A; de Melker, Hester E; Postma, Maarten J; Wallinga, Jacco

    BACKGROUND: There are few estimates of the effectiveness of long-standing vaccination programs in developed countries. To fill this gap, we investigate the direct and indirect effectiveness of childhood vaccination programs on mortality at the population level in the Netherlands. METHODS: We focused

  10. Estimation Of Height Of Oil -Water Contact Above Free Water Level ...

    African Journals Online (AJOL)

    An estimate of oil-water contact (OWC) and the understanding of the capillary behaviour of hydrocarbon reservoirs are vital for optimum reservoir characterization, hydrocarbon exploration and production. Hence, the height of oil-water contact above free water level for different rock types from some Niger Delta reservoirs ...

  11. Importance of species interactions to community heritability: a genetic basis to trophic-level interactions.

    Science.gov (United States)

    Bailey, Joseph K; Wooley, Stuart C; Lindroth, Richard L; Whitham, Thomas G

    2006-01-01

    Recent community genetics studies have shown that specific genotypes of a host plant support distinct arthropod communities. Building upon these findings, we examined the hypothesis that a trophic community consisting of cottonwood trees, a galling herbivore and avian predators could also be related to the genetics of the host tree. We found genetic correlations among phytochemistry of individual tree genotypes, the density of a galling herbivore, and the intensity of avian predation on these herbivores. We detected significant broad-sense heritability of these interactions that range from H(B)2 = 0.70 to 0.83. The genetic basis of these interactions tended to increase across trophic levels suggesting that small genetic changes in the cottonwood phenotype could have major consequences at higher trophic levels affecting species interactions and energy flow. These findings show a heritable basis to trophic-level interactions indicating that there is a significant genetic basis to community composition and energy flow that is predictable by plant genotype. Our data clearly link plant genetics to patterns of avian foraging and show that species interactions are important components of community heritability and ecosystem processes. Overall, these data support the hypothesis that evolution of plant traits can alter trophic-level interactions and community composition.

  12. Health Impacts of Increased Physical Activity from Changes in Transportation Infrastructure: Quantitative Estimates for Three Communities.

    Science.gov (United States)

    Mansfield, Theodore J; MacDonald Gibson, Jacqueline

    2015-01-01

    Recently, two quantitative tools have emerged for predicting the health impacts of projects that change population physical activity: the Health Economic Assessment Tool (HEAT) and Dynamic Modeling for Health Impact Assessment (DYNAMO-HIA). HEAT has been used to support health impact assessments of transportation infrastructure projects, but DYNAMO-HIA has not been previously employed for this purpose nor have the two tools been compared. To demonstrate the use of DYNAMO-HIA for supporting health impact assessments of transportation infrastructure projects, we employed the model in three communities (urban, suburban, and rural) in North Carolina. We also compared DYNAMO-HIA and HEAT predictions in the urban community. Using DYNAMO-HIA, we estimated benefit-cost ratios of 20.2 (95% C.I.: 8.7-30.6), 0.6 (0.3-0.9), and 4.7 (2.1-7.1) for the urban, suburban, and rural projects, respectively. For a 40-year time period, the HEAT predictions of deaths avoided by the urban infrastructure project were three times as high as DYNAMO-HIA's predictions due to HEAT's inability to account for changing population health characteristics over time. Quantitative health impact assessment coupled with economic valuation is a powerful tool for integrating health considerations into transportation decision-making. However, to avoid overestimating benefits, such quantitative HIAs should use dynamic, rather than static, approaches.

  13. Community-level patterns of population recruitment in a generalist avian brood parasite, the brown-headed cowbird.

    Science.gov (United States)

    Curson, David R; Goguen, Christopher B; Mathews, Nancy E

    2010-07-01

    The brown-headed cowbird (Molothrus ater) is a generalist brood parasite that typically parasitizes many host species in a single bird community. Population recruitment in a generalist parasite should be diverse with respect to host species; however, host-specific rates of cowbird recruitment have not been reported in any host community, and the determinants of host quality are poorly known. We studied the combined influence of parasitism level, nest abundance, and host quality on community-level patterns of cowbird recruitment in New Mexico, USA. Our objectives were to: (1) evaluate patterns of host use and quality; (2) compare cowbird egg investment and recruitment among host species; (3) identify host species of most importance to cowbird recruitment. Cowbirds parasitized 11 host species, with five "major" hosts experiencing high parasitism levels (>or=1 cowbird egg/nest) and six minor hosts experiencing low parasitism levels (Parasitism level was not correlated with host species abundance, host mass, host nestling period length, or host success at fledging cowbirds. However, tree-nesting hosts were parasitized more than ground-nesters, and foliage-gleaners more than sally-foragers and ground-foragers. Average estimated survival to fledging of cowbird eggs laid in active host nests was 0.19. Cowbird recruitment was diverse with respect to hosts but was less evenly distributed across the host community than was cowbird egg investment because western tanagers (Piranga ludovicianus) fledged cowbirds more successfully than other hosts. This success in western tanagers was due to high cowbird survivorship in tanager nests and may be associated with the larger body size of tanagers relative to other hosts.

  14. Estimating community health needs against a Triple Aim background: What can we learn from current predictive risk models?

    Science.gov (United States)

    Elissen, Arianne M J; Struijs, Jeroen N; Baan, Caroline A; Ruwaard, Dirk

    2015-05-01

    To support providers and commissioners in accurately assessing their local populations' health needs, this study produces an overview of Dutch predictive risk models for health care, focusing specifically on the type, combination and relevance of included determinants for achieving the Triple Aim (improved health, better care experience, and lower costs). We conducted a mixed-methods study combining document analyses, interviews and a Delphi study. Predictive risk models were identified based on a web search and expert input. Participating in the study were Dutch experts in predictive risk modelling (interviews; n=11) and experts in healthcare delivery, insurance and/or funding methodology (Delphi panel; n=15). Ten predictive risk models were analysed, comprising 17 unique determinants. Twelve were considered relevant by experts for estimating community health needs. Although some compositional similarities were identified between models, the combination and operationalisation of determinants varied considerably. Existing predictive risk models provide a good starting point, but optimally balancing resources and targeting interventions on the community level will likely require a more holistic approach to health needs assessment. Development of additional determinants, such as measures of people's lifestyle and social network, may require policies pushing the integration of routine data from different (healthcare) sources. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  15. Community Energy: Analysis of Hydrogen Distributed Energy Systems with Photovoltaics for Load Leveling and Vehicle Refueling

    Energy Technology Data Exchange (ETDEWEB)

    Steward, D.; Zuboy, J.

    2014-10-01

    Energy storage could complement PV electricity generation at the community level. Because PV generation is intermittent, strategies must be implemented to integrate it into the electricity system. Hydrogen and fuel cell technologies offer possible PV integration strategies, including the community-level approaches analyzed in this report: (1) using hydrogen production, storage, and reconversion to electricity to level PV generation and grid loads (reconversion scenario); (2) using hydrogen production and storage to capture peak PV generation and refuel hydrogen fuel cell electric vehicles (FCEVs) (hydrogen fueling scenario); and (3) a comparison scenario using a battery system to store electricity for EV nighttime charging (electric charging scenario).

  16. The Levels of Decision Making in Multi-Unit Community College Systems.

    Science.gov (United States)

    Henry, Thomas C.; Creswell, John W.

    1983-01-01

    Describes a survey of 33 multi-unit community colleges designed to determine the relationship between (1) the levels at which decisions were made in nine selected areas; (2) institutional size and history; and (3) the number of system-level personnel. Discusses the implications of the findings for practice. (AYC)

  17. Cost estimate of high-level radioactive waste containers for the Yucca Mountain Site Characterization Project

    Energy Technology Data Exchange (ETDEWEB)

    Russell, E.W.; Clarke, W. [Lawrence Livermore National Lab., CA (United States); Domian, H.A. [Babcock and Wilcox Co., Lynchburg, VA (United States); Madson, A.A. [Kaiser Engineers California Corp., Oakland, CA (United States)

    1991-08-01

    This report summarizes the bottoms-up cost estimates for fabrication of high-level radioactive waste disposal containers based on the Site Characterization Plan Conceptual Design (SCP-CD). These estimates were acquired by Babcock and Wilcox (B&S) under sub-contract to Lawrence Livermore National Laboratory (LLNL) for the Yucca Mountain Site Characterization Project (YMP). The estimates were obtained for two leading container candidate materials (Alloy 825 and CDA 715), and from other three vendors who were selected from a list of twenty solicited. Three types of container designs were analyzed that represent containers for spent fuel, and for vitrified high-level waste (HLW). The container internal structures were assumed to be AISI-304 stainless steel in all cases, with an annual production rate of 750 containers. Subjective techniques were used for estimating QA/QC costs based on vendor experience and the specifications derived for the LLNL-YMP Quality Assurance program. In addition, an independent QA/QC analysis is reported which was prepared by Kasier Engineering. Based on the cost estimates developed, LLNL recommends that values of $825K and $62K be used for the 1991 TSLCC for the spent fuel and HLW containers, respectively. These numbers represent the most conservative among the three vendors, and are for the high-nickel anstenitic steel (Alloy 825). 6 refs., 7 figs.

  18. Cost estimate of high-level radioactive waste containers for the Yucca Mountain Site Characterization Project

    International Nuclear Information System (INIS)

    Russell, E.W.; Clarke, W.; Domian, H.A.; Madson, A.A.

    1991-08-01

    This report summarizes the bottoms-up cost estimates for fabrication of high-level radioactive waste disposal containers based on the Site Characterization Plan Conceptual Design (SCP-CD). These estimates were acquired by Babcock and Wilcox (B ampersand S) under sub-contract to Lawrence Livermore National Laboratory (LLNL) for the Yucca Mountain Site Characterization Project (YMP). The estimates were obtained for two leading container candidate materials (Alloy 825 and CDA 715), and from other three vendors who were selected from a list of twenty solicited. Three types of container designs were analyzed that represent containers for spent fuel, and for vitrified high-level waste (HLW). The container internal structures were assumed to be AISI-304 stainless steel in all cases, with an annual production rate of 750 containers. Subjective techniques were used for estimating QA/QC costs based on vendor experience and the specifications derived for the LLNL-YMP Quality Assurance program. In addition, an independent QA/QC analysis is reported which was prepared by Kasier Engineering. Based on the cost estimates developed, LLNL recommends that values of $825K and $62K be used for the 1991 TSLCC for the spent fuel and HLW containers, respectively. These numbers represent the most conservative among the three vendors, and are for the high-nickel anstenitic steel (Alloy 825). 6 refs., 7 figs

  19. Marginal cost estimation for level crossing accidents: Evidence from the Swedish railways 2000-2008

    OpenAIRE

    Jonsson, Lina

    2011-01-01

    This study examines the relationship between train traffic and the accident risk for road users at level crossings. The marginal effect of train traffic on the accident risk can be used to derive the marginal cost per train passage that is due to level crossing accidents. Based on Swedish data from 2000 to 2008 on level crossing accidents, train volume and crossing characteristics, the marginal cost per train passage is estimated at SEK 1.13 (EUR 0.11) on average in 2008. The cost per train p...

  20. Marginal cost estimation for level crossing accidents: evidence from the Swedish railways 2000-2012

    OpenAIRE

    Jonsson, Lina; Björklund, Gunilla

    2015-01-01

    This study examines the relationship between train traffic and the accident risk for road users at level crossings. The marginal effect of train traffic on the accident risk can be used to derive the marginal cost per train passage that is due to level crossing accidents. Based on Swedish data from 2000 to 2012 on level crossing accidents, train volume and crossing characteristics, the marginal cost per train passage is estimated at SEK 1.28 (EUR 0.13) on average in 2012. The cost per train p...

  1. Preliminary estimates of cost savings for defense high level waste vitrification options

    International Nuclear Information System (INIS)

    Merrill, R.A.; Chapman, C.C.

    1993-09-01

    The potential for realizing cost savings in the disposal of defense high-level waste through process and design modificatins has been considered. Proposed modifications range from simple changes in the canister design to development of an advanced melter capable of processing glass with a higher waste loading. Preliminary calculations estimate the total disposal cost (not including capital or operating costs) for defense high-level waste to be about $7.9 billion dollars for the reference conditions described in this paper, while projected savings resulting from the proposed process and design changes could reduce the disposal cost of defense high-level waste by up to $5.2 billion

  2. Community response to noise in Vietnam: exposure-response relationships based on the community tolerance level.

    Science.gov (United States)

    Gjestland, Truls; Nguyen, Thu Lan; Yano, Takashi

    2015-05-01

    Social surveys on noise annoyance have been conducted in five different cities in Vietnam. The surveys included both aircraft noise (three airports) and road traffic noise (five cities). The main objective for these studies was to establish dose-response functions that were representative for Vietnam. The results have been compared with results from similar surveys from other regions. Dose-response functions for aircraft noise in Vietnam showing the percentage of highly annoyed people versus the noise level are nearly identical to those presented in the European Noise Directive [European Commission (2002). http://ec.europa.eu/environment/noise/directive.htm]. For road traffic noise, however, the results indicate that people in Vietnam are more tolerant. The noise levels can be increased by 5-10 dB in order to have a response similar to the curve recommended by the European Commission.

  3. The role of the neonatal nurse practitioner in the community hospital level I nursery.

    Science.gov (United States)

    Hatch, Julie

    2012-01-01

    Neonatal nurse practitioners (NNPs) have played a significant role in providing medical coverage to many of the country's Level III neonatal intensive care units (NICUs). Extensive education and experience are required for a nurse practitioner (NP) to become competent in caring for these critically ill newborns. The NNP can take this competence and experience and expand her role out into the community Level I nurseries. Clinical care of the infants and close communication with parents, pediatricians, and the area tertiary center provide a community service with the goal of keeping parents and babies together in the community hospital without compromising the health of the baby. The NNP service, with 24-hour nursery and delivery coverage, supports an ongoing obstetric service to the community hospital. The NNP's experience enables her to provide a neonatal service that encompasses a multitude of advanced practice nursing roles.

  4. Do Amplitudes of Water Level Fluctuations Affect the Growth and Community Structure of Submerged Macrophytes?

    Science.gov (United States)

    Wang, Mo-Zhu; Liu, Zheng-Yuan; Luo, Fang-Li; Lei, Guang-Chun; Li, Hong-Li

    2016-01-01

    Submerged macrophytes are subjected to potential mechanical stresses associated with fluctuating water levels in natural conditions. However, few experimental studies have been conducted to further understand the effects of water level fluctuating amplitude on submerged macrophyte species and their assemblages or communities. We designed a controlled experiment to investigate the responses of three submerged macrophyte species (Hydrilla verticillata, Ceratophyllum demersum and Elodea nuttallii) and their combinations in communities to three amplitudes (static, ± 30 cm, ± 60 cm) of water level fluctuations. Results showed that water level fluctuating amplitude had little effects on the community performance and the three tested species responded differently. H. verticillata exhibited more growth in static water and it was negatively affected by either of the water level fluctuations amplitude, however, growth parameters of H. verticillata in two fluctuating water level treatments (i.e., ± 30 cm, ± 60 cm) were not significantly different. On the other hand, the growth of C. demersum was not significantly correlated with different amplitude treatments. However, it became more abundant when water levels fluctuated. E. nuttallii was inhibited by the two fluctuating water level treatments, and was less in growth parameters compared to the other species especially in water level fluctuating conditions. The inherent differences in the adaptive capabilities of the tested species indicate that C. demersum or other species with similar responses may be dominant species to restore submerged macrophyte communities with great fluctuating water levels. Otherwise, H. verticillata, E. nuttallii or other species with similar responses could be considered for constructing the community in static water conditions.

  5. Do Amplitudes of Water Level Fluctuations Affect the Growth and Community Structure of Submerged Macrophytes?

    Directory of Open Access Journals (Sweden)

    Mo-Zhu Wang

    Full Text Available Submerged macrophytes are subjected to potential mechanical stresses associated with fluctuating water levels in natural conditions. However, few experimental studies have been conducted to further understand the effects of water level fluctuating amplitude on submerged macrophyte species and their assemblages or communities. We designed a controlled experiment to investigate the responses of three submerged macrophyte species (Hydrilla verticillata, Ceratophyllum demersum and Elodea nuttallii and their combinations in communities to three amplitudes (static, ± 30 cm, ± 60 cm of water level fluctuations. Results showed that water level fluctuating amplitude had little effects on the community performance and the three tested species responded differently. H. verticillata exhibited more growth in static water and it was negatively affected by either of the water level fluctuations amplitude, however, growth parameters of H. verticillata in two fluctuating water level treatments (i.e., ± 30 cm, ± 60 cm were not significantly different. On the other hand, the growth of C. demersum was not significantly correlated with different amplitude treatments. However, it became more abundant when water levels fluctuated. E. nuttallii was inhibited by the two fluctuating water level treatments, and was less in growth parameters compared to the other species especially in water level fluctuating conditions. The inherent differences in the adaptive capabilities of the tested species indicate that C. demersum or other species with similar responses may be dominant species to restore submerged macrophyte communities with great fluctuating water levels. Otherwise, H. verticillata, E. nuttallii or other species with similar responses could be considered for constructing the community in static water conditions.

  6. Estimating costs of low-level radioactive waste disposal alternatives for the Commonwealth of Massachusetts

    Energy Technology Data Exchange (ETDEWEB)

    1994-02-01

    This report was prepared for the Commonwealth of Massachusetts by the Idaho National Engineering Laboratory, National Low-Level Waste Management Program. It presents planning life-cycle cost (PLCC) estimates for four sizes of in-state low-level radioactive waste (LLRW) disposal facilities. These PLCC estimates include preoperational and operational expenditures, all support facilities, materials, labor, closure costs, and long-term institutional care and monitoring costs. It is intended that this report bc used as a broad decision making tool for evaluating one of the several complex factors that must be examined when deciding between various LLRW management options -- relative costs. Because the underlying assumptions of these analyses will change as the Board decides how it will manage Massachusett`s waste and the specific characteristics any disposal facility will have, the results of this study are not absolute and should only be used to compare the relative costs of the options presented. The disposal technology selected for this analysis is aboveground earth-mounded vaults. These vaults are reinforced concrete structures where low-level waste is emplaced and later covered with a multi-layered earthen cap. The ``base case`` PLCC estimate was derived from a preliminary feasibility design developed for the Illinois Low-Level Radioactive Waste Disposal Facility. This PLCC report describes facility operations and details the procedure used to develop the base case PLCC estimate for each facility component and size. Sensitivity analyses were performed on the base case PLCC estimate by varying several factors to determine their influences upon the unit disposal costs. The report presents the results of the sensitivity analyses for the five most significant cost factors.

  7. Increasing Resilience Through Engagement In Sea Level Rise Community Science Initiatives.

    Science.gov (United States)

    Chilton, L. A.; Rindge, H.

    2017-12-01

    Science literate and engaged members of the public, including students, are critical to building climate resilient communities. USC Sea Grant facilitates programs that work to build and strengthen these connections. The Urban Tides Community Science Initiative (Urban Tides) and the Youth Exploring Sea Level Rise Science Program (YESS) engage communities across the boundaries of public engagement, K-12 education, and informal education. YESS is an experiential sea level rise education program that combines classroom learning, field investigations and public presentations. Students explore sea level rise using a new curricula, collect their own data on sea level rise, develop communication products, and present their findings to city governments, researchers, and others. Urban Tides engages community members, informal education centers, K-12 students, and local government leaders in a citizen science program photo- documenting extreme high tides, erosion and coastal flooding in Southern California. Images provide critical information to help calibrate scientific models used to identify locations vulnerable to damage from future sea level rise. These tools and information enable community leaders and local governments to set priorities, guidelines, and update policies as they plan strategies that will help the region adapt. The program includes a mobile app for data collection, an open database to view photos, a lesson plan, and community beach walks. Urban Tides has led to an increase in data and data-gathering capacity for regional scientists, an increase in public participation in science, and an increase in ocean and climate literacy among initiative participants. Both of these programs bring informed and diverse voices into the discussion of how to adapt and build climate resilient communities. USC Sea Grant will share impacts and lessons learned from these two unique programs.

  8. Estimation of the terrestrial gamma-ray levels from car-borne measurements

    International Nuclear Information System (INIS)

    Badran, H.M.

    1998-01-01

    A place to place variation of the gamma-radiation has been measured. The terrestrial gamma-ray levels were obtained with a portable Nal(Tl) detector. Gamma-ray levels were measured inside a car for a distance of about 220 km, from Norman up to Tulsa, Oklahoma, USA. Simultaneous measurements have also been carried out outside the vehicle and at distances 1 m and 5 m from the car. A series of data was collected every 1 mile (∼ 1.6 km). The measurements were also repeated different time under different conditions. The measured car-borne levels were correlated with the outdoor equivalent levels at 1 m above flat ground. The result permits a good estimation of the outdoor gamma-ray levels from the car measurements after the correction due to the vehicle shielding

  9. Does global progress on sanitation really lag behind water? An analysis of global progress on community- and household-level access to safe water and sanitation.

    Science.gov (United States)

    Cumming, Oliver; Elliott, Mark; Overbo, Alycia; Bartram, Jamie

    2014-01-01

    Safe drinking water and sanitation are important determinants of human health and wellbeing and have recently been declared human rights by the international community. Increased access to both were included in the Millennium Development Goals under a single dedicated target for 2015. This target was reached in 2010 for water but sanitation will fall short; however, there is an important difference in the benchmarks used for assessing global access. For drinking water the benchmark is community-level access whilst for sanitation it is household-level access, so a pit latrine shared between households does not count toward the Millennium Development Goal (MDG) target. We estimated global progress for water and sanitation under two scenarios: with equivalent household- and community-level benchmarks. Our results demonstrate that the "sanitation deficit" is apparent only when household-level sanitation access is contrasted with community-level water access. When equivalent benchmarks are used for water and sanitation, the global deficit is as great for water as it is for sanitation, and sanitation progress in the MDG-period (1990-2015) outstrips that in water. As both drinking water and sanitation access yield greater benefits at the household-level than at the community-level, we conclude that any post-2015 goals should consider a household-level benchmark for both.

  10. Does global progress on sanitation really lag behind water? An analysis of global progress on community- and household-level access to safe water and sanitation.

    Directory of Open Access Journals (Sweden)

    Oliver Cumming

    Full Text Available Safe drinking water and sanitation are important determinants of human health and wellbeing and have recently been declared human rights by the international community. Increased access to both were included in the Millennium Development Goals under a single dedicated target for 2015. This target was reached in 2010 for water but sanitation will fall short; however, there is an important difference in the benchmarks used for assessing global access. For drinking water the benchmark is community-level access whilst for sanitation it is household-level access, so a pit latrine shared between households does not count toward the Millennium Development Goal (MDG target. We estimated global progress for water and sanitation under two scenarios: with equivalent household- and community-level benchmarks. Our results demonstrate that the "sanitation deficit" is apparent only when household-level sanitation access is contrasted with community-level water access. When equivalent benchmarks are used for water and sanitation, the global deficit is as great for water as it is for sanitation, and sanitation progress in the MDG-period (1990-2015 outstrips that in water. As both drinking water and sanitation access yield greater benefits at the household-level than at the community-level, we conclude that any post-2015 goals should consider a household-level benchmark for both.

  11. Does Social Capital Explain Community-Level Differences in Organ Donor Designation?

    Science.gov (United States)

    Ladin, Keren; Wang, Rui; Fleishman, Aaron; Boger, Matthew; Rodrigue, James R

    2015-01-01

    Context The growing shortage of organs has reached unprecedented levels. Despite national attempts to increase donation and federal laws mandating the equitable allocation of organs, their availability and waiting times vary significantly nationwide. Organ donor designation is a collective action problem in public health, in which the regional organ supply and average waiting times are determined by the willingness of individuals to be listed as organ donors. Social capital increases the probability of collective action by fostering norms of reciprocity and cooperation while increasing costs to defectors. We examine whether social capital and other community-level factors explain geographic variation in organ donor designation rates in Massachusetts. Methods We obtained a sample of 3,281,532 registered drivers in 2010 from the Massachusetts Department of Transportation Registry of Motor Vehicles (MassDOT RMV). We then geocoded the registry data, matched them to 4,466 census blocks, and linked them to the 2010 US Census, the American Community Survey (ACS), and other sources to obtain community-level sociodemographic, social capital (residential segregation, voter registration and participation, residential mobility, violent-death rate), and religious characteristics. We used spatial modeling, including lagged variables to account for the effect of adjacent block groups, and multivariate regression analysis to examine the relationship of social capital and community-level characteristics with organ donor designation rates. Findings Block groups with higher levels of social capital, racial homogeneity, income, workforce participation, owner-occupied housing, native-born residents, and white residents had higher rates of organ donor designation (p organ donor designation (R2 = 0.52). Conclusions The findings suggest that community-level factors, including social capital, predict more than half the variation in donor designation. Future interventions should target the

  12. Estimating return levels from maxima of non-stationary random sequences using the Generalized PWM method

    Directory of Open Access Journals (Sweden)

    P. Ribereau

    2008-12-01

    Full Text Available Since the pioneering work of Landwehr et al. (1979, Hosking et al. (1985 and their collaborators, the Probability Weighted Moments (PWM method has been very popular, simple and efficient to estimate the parameters of the Generalized Extreme Value (GEV distribution when modeling the distribution of maxima (e.g., annual maxima of precipitations in the Identically and Independently Distributed (IID context. When the IID assumption is not satisfied, a flexible alternative, the Maximum Likelihood Estimation (MLE approach offers an elegant way to handle non-stationarities by letting the GEV parameters to be time dependent. Despite its qualities, the MLE applied to the GEV distribution does not always provide accurate return level estimates, especially for small sample sizes or heavy tails. These drawbacks are particularly true in some non-stationary situations. To reduce these negative effects, we propose to extend the PWM method to a more general framework that enables us to model temporal covariates and provide accurate GEV-based return levels. Theoretical properties of our estimators are discussed. Small and moderate sample sizes simulations in a non-stationary context are analyzed and two brief applications to annual maxima of CO2 and seasonal maxima of cumulated daily precipitations are presented.

  13. Water level and volume estimations of the Albano and Nemi lakes (central Italy

    Directory of Open Access Journals (Sweden)

    A. Mazzoni

    2008-06-01

    Full Text Available In April 2006 an airborne laser scanning (LIDAR survey of the Albano and Nemi craters was carried out to obtain a high resolution digital terrain model (DTM of the area. We have integrated the LIDAR survey of the craters and the recent bathymetry of the Albano lake to achieve a complete DTM, useful for morphological studies. In addition, with a GPS RTK survey (July 2007 we estimated the Albano and Nemi mean lake levels respectively at 288.16 m and 319.02 m (asl. Based on the integrated DTM and the newly estimated water level values, we evaluated about 21.7·106 m3 the water volume loss of the Albano lake from 1993 to 2007, with an average rate of about 1.6·106 m3/yr.

  14. Potential of neuro-fuzzy methodology to estimate noise level of wind turbines

    Science.gov (United States)

    Nikolić, Vlastimir; Petković, Dalibor; Por, Lip Yee; Shamshirband, Shahaboddin; Zamani, Mazdak; Ćojbašić, Žarko; Motamedi, Shervin

    2016-01-01

    Wind turbines noise effect became large problem because of increasing of wind farms numbers since renewable energy becomes the most influential energy sources. However, wind turbine noise generation and propagation is not understandable in all aspects. Mechanical noise of wind turbines can be ignored since aerodynamic noise of wind turbine blades is the main source of the noise generation. Numerical simulations of the noise effects of the wind turbine can be very challenging task. Therefore in this article soft computing method is used to evaluate noise level of wind turbines. The main goal of the study is to estimate wind turbine noise in regard of wind speed at different heights and for different sound frequency. Adaptive neuro-fuzzy inference system (ANFIS) is used to estimate the wind turbine noise levels.

  15. Estimates of twenty-first century sea-level changes for Norway

    Science.gov (United States)

    Simpson, Matthew J. R.; Breili, Kristian; Kierulf, Halfdan P.

    2014-03-01

    In this work we establish a framework for estimating future regional sea-level changes for Norway. Following recently published works, we consider how different physical processes drive non-uniform sea-level changes by accounting for spatial variations in (1) ocean density and circulation (2) ice and ocean mass changes and associated gravitational effects on sea level and (3) vertical land motion arising from past surface loading change and associated gravitational effects on sea level. An important component of past and present sea-level change in Norway is glacial isostatic adjustment. Central to our study, therefore, is a reassessment of vertical land motion using a far larger set of new observations from a permanent GNSS network. Our twenty-first century sea-level estimates are split into two parts. Firstly, we show regional projections largely based on findings from the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4) and dependent on the emission scenarios A2, A1B and B1. These indicate that twenty-first century relative sea-level changes in Norway will vary between -0.2 to 0.3 m (1-sigma ± 0.13 m). Secondly, we explore a high-end scenario, in which a global atmospheric temperature rise of up to 6 °C and emerging collapse for some areas of the Antarctic ice sheets are assumed. Using this approach twenty-first century relative sea-level changes in Norway are found to vary between 0.25 and 0.85 m (min/max ± 0.45 m). We attach no likelihood to any of our projections owing to the lack of understanding of some of the processes that cause sea-level change.

  16. Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards

    Energy Technology Data Exchange (ETDEWEB)

    Heeter, J.; Barbose, G.; Bird, L.; Weaver, S.; Flores-Espino, F.; Kuskova-Burns, K.; Wiser, R.

    2014-05-01

    Most renewable portfolio standards (RPS) have five or more years of implementation experience, enabling an assessment of their costs and benefits. Understanding RPS costs and benefits is essential for policymakers evaluating existing RPS policies, assessing the need for modifications, and considering new policies. This study provides an overview of methods used to estimate RPS compliance costs and benefits, based on available data and estimates issued by utilities and regulators. Over the 2010-2012 period, average incremental RPS compliance costs in the United States were equivalent to 0.8% of retail electricity rates, although substantial variation exists around this average, both from year-to-year and across states. The methods used by utilities and regulators to estimate incremental compliance costs vary considerably from state to state and a number of states are currently engaged in processes to refine and standardize their approaches to RPS cost calculation. The report finds that state assessments of RPS benefits have most commonly attempted to quantitatively assess avoided emissions and human health benefits, economic development impacts, and wholesale electricity price savings. Compared to the summary of RPS costs, the summary of RPS benefits is more limited, as relatively few states have undertaken detailed benefits estimates, and then only for a few types of potential policy impacts. In some cases, the same impacts may be captured in the assessment of incremental costs. For these reasons, and because methodologies and level of rigor vary widely, direct comparisons between the estimates of benefits and costs are challenging.

  17. Comparison of specific-yield estimates for calculating evapotranspiration from diurnal groundwater-level fluctuations

    Science.gov (United States)

    Gribovszki, Zoltán

    2017-11-01

    Methods that use diurnal groundwater-level fluctuations are commonly used for shallow water-table environments to estimate evapotranspiration (ET) and recharge. The key element needed to obtain reliable estimates is the specific yield (Sy), a soil-water storage parameter that depends on unsaturated soil-moisture and water-table fluxes, among others. Soil-moisture profile measurement down to the water table, along with water-table-depth measurements, can provide a good opportunity to calculate Sy values even on a sub-daily scale. These values were compared with Sy estimates derived by traditional techniques, and it was found that slug-test-based Sy values gave the most similar results in a sandy soil environment. Therefore, slug-test methods, which are relatively cheap and require little time, were most suited to estimate Sy using diurnal fluctuations. The reason for this is that the timeframe of the slug-test measurement is very similar to the dynamic of the diurnal signal. The dynamic characteristic of Sy was also analyzed on a sub-daily scale (depending mostly on the speed of drainage from the soil profile) and a remarkable difference was found in Sy with respect to the rate of change of the water table. When comparing constant and sub-daily (dynamic) Sy values for ET estimation, the sub-daily Sy application yielded higher correlation, but only a slightly smaller deviation from the control ET method, compared with the usage of constant Sy.

  18. Injuries in community-level Australian football: Results from a club-based injury surveillance system.

    Science.gov (United States)

    Ekegren, Christina L; Gabbe, Belinda J; Donaldson, Alex; Cook, Jill; Lloyd, David; Finch, Caroline F

    2015-11-01

    Far fewer injury surveillance systems exist within community sport than elite sport. As a result, most epidemiological data on sports injuries have limited relevance to community-level sporting populations. There is potential for data from community club-based injury surveillance systems to provide a better understanding of community sports injuries. This study aimed to describe the incidence and profile of community-level Australian football injuries reported using a club-based injury surveillance system. Prospective, epidemiological study. Sports trainers from five community-level Australian football leagues recorded injury data during two football seasons using the club-based system. An online surveillance tool developed by Sports Medicine Australia ('Sports Injury Tracker') was used for data collection. The injury incidence, profile and match injury rate were reported. Injury data for 1205 players were recorded in season one and for 823 players in season two. There was significant variability in injury incidence across clubs. However, aggregated data were consistent across football seasons, with an average of 0.7 injuries per player per season and 38-39 match injuries per 1000 h match exposure. A large proportion of injuries occurred during matches, involved the lower limb and resulted from contact. Data from the club-based system provided a profile of injuries consistent with previous studies in community-level Australian football. Moreover, injury incidence was consistent with other studies using similar personnel to record data. However, injury incidence was lower than that reported in studies using player self-report or healthcare professionals and may be an underestimate of true values. Copyright © 2014 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

  19. Contextual influences on physical activity and eating habits -options for action on the community level

    Directory of Open Access Journals (Sweden)

    Sven Schneider

    2017-09-01

    Full Text Available Abstract Background This conceptual paper aims to illustrate the ways in which communities are able to advance health improvements on a population level. Outcome measures may include increased physical activity and healthier eating habits in particular, as well as an improved health-related quality of life and social cohesion as more generic outcomes. Main body The paper begins by asking initial questions: Why did previous health-specific interventions only show moderate effects on an individual level and mixed effects on a population level? What is the added value of a community-based public health perspective compared to the traditional biomedical perspective when it comes to prevention? Why are we living the way we are living? Why do we eat what we eat? Why do we move the way we move? Subsequently, we illustrate the broad spectrum of contextual interventions available to communities. These can have geographical and technological as well as economic, political, normative and attitude-specific dimensions. It is shown that communities have a strong influence on health-related contexts and decision-making of adults, adolescents and children. In addition contextual characteristics, effects, mediators, moderators and consequences relevant for health can differ greatly between age groups. Both small-scale settings and overarching sectors possess physical, economic, political and sociocultural characteristics that can be proactively influenced by community decision-makers in the sense of a “health in all policies”-strategy. Short conclusion After presenting various interdisciplinary approaches to community-based health interventions, the manuscript closes with the following core message: Successful community-based health promotion strategies consist of multilevel – multicomponent interventions on the micro, meso and macro-level-environments.

  20. Does Social Capital Explain Community-Level Differences in Organ Donor Designation?

    Science.gov (United States)

    Ladin, Keren; Wang, Rui; Fleishman, Aaron; Boger, Matthew; Rodrigue, James R

    2015-09-01

    The growing shortage of life-saving organs has reached unprecedented levels, with more than 120,000 Americans waiting for them. Despite national attempts to increase organ donation and federal laws mandating the equitable allocation of organs, geographic disparities remain. A better understanding of the contextual determinants of organ donor designation, including social capital, may enhance efforts to increase organ donation by raising the probability of collective action and fostering norms of reciprocity and cooperation while increasing costs to defectors. Because community-level factors, including social capital, predict more than half the variation in donor designation, future interventions should tailor strategies to specific communities as the unit of intervention. The growing shortage of organs has reached unprecedented levels. Despite national attempts to increase donation and federal laws mandating the equitable allocation of organs, their availability and waiting times vary significantly nationwide. Organ donor designation is a collective action problem in public health, in which the regional organ supply and average waiting times are determined by the willingness of individuals to be listed as organ donors. Social capital increases the probability of collective action by fostering norms of reciprocity and cooperation while increasing costs to defectors. We examine whether social capital and other community-level factors explain geographic variation in organ donor designation rates in Massachusetts. We obtained a sample of 3,281,532 registered drivers in 2010 from the Massachusetts Department of Transportation Registry of Motor Vehicles (MassDOT RMV). We then geocoded the registry data, matched them to 4,466 census blocks, and linked them to the 2010 US Census, the American Community Survey (ACS), and other sources to obtain community-level sociodemographic, social capital (residential segregation, voter registration and participation, residential

  1. Estimation of genetic variability level in inbred CF1 mouse lines ...

    Indian Academy of Sciences (India)

    Estimation of genetic variability level in inbred CF1 mouse lines selected for body weight. MAURICIO RENNY1, NORMA B. JULIO1, SANDRA F. BERNARDI2, CRISTINA N. GARDENAL1 and MARÍA INÉS OYARZABAL3∗. 1Cátedra de Genética de Poblaciones y Evolución, Facultad de Ciencias Exactas, Físicas y Naturales ...

  2. Estimation of natural radiation background level and population dose in China

    International Nuclear Information System (INIS)

    Pan Ziqiang

    1992-01-01

    The authors describe in general the natural radiation background level in China, and based on available data present an estimated annual effective dose equivalent of the population to natural radiation that is some 2.3 mSv, of which about 0.54 mSv is from original γ radiation and about 0.8 mSv from radon and its short-lived daughters

  3. Automation of front-end loaders : electronic self leveling and payload estimation

    OpenAIRE

    Yung, I

    2017-01-01

    A growing population is driving automatization in agricultural industry to strive for more productive arable land. Being part of this process, this work is aimed to investigate the possibility to implement sensor-based automation in a particular system called Front End Loader, which is a lifting arms that is commonly mounted on the front of a tractor. Two main tasks are considered here, namely Electronic Self Leveling (ESL) and payload estimation. To propose commercially implementable solutio...

  4. Model estimation of energy flow in North American grassland bird communities.

    Science.gov (United States)

    Wiens, John A

    1977-01-01

    The energy demands and general food consumption rates of bird populations breeding in North American grasslands are estimated using a simulation model which employs information on population natural history and individual metabolism gathered from several study locations. The total breeding season energy demand of the grassland/shrub-steppe avifaunas ranged from 0.89 kcal m -2 season -1 in arid shrub-steppe to 2.92 kcal m -2 season -1 in a mesic tallgrass prairie. There was substantial variation between years and between census plots, however, and in general the average avian community energy demands did not differ significantly over the range of locations. Production accounted for 0.9 to 1.5% of the total seasonal energy demand. Roughly 11 to 18% of the seasonal energy flow was required in the production of eggs and maintenance and growth of nestlings and fledglings.On the average, between 209 and 386 kg dry wt km -2 of prey were consumed by the bird communities breeding in the grassland locations. Seeds contributed more to the total biomass consumed at the drier plots, but in general, animal prey types comprised roughly 80% of the total biomass eaten. Phytophagous insects were the major component of the animal prey.These low magnitudes of energy flow and biomass consumption attest to the relatively minor role of birds in the processing of energy and biomass in grassland ecosystems. If these populations do play an 'importnat' role in the functioning of grassland ecosystems, it must be quite subtle and indirect.

  5. Estimating the role of casual contact from the community in transmission of Bordetella pertussis to young infants

    Directory of Open Access Journals (Sweden)

    Poole Charles

    2007-10-01

    Full Text Available Abstract The proportion of infant pertussis cases due to transmission from casual contact in the community has not been estimated since before the introduction of pertussis vaccines in the 1950s. This study aimed to estimate the proportion of pertussis transmission due to casual contact using demographic and clinical data from a study of 95 infant pertussis cases and their close contacts enrolled at 14 hospitals in France, Germany, Canada, and the U.S. between February 2003 and September 2004. A complete case analysis was conducted as well as multiple imputation (MI to account for missing data for participants and close contacts who did not participate. By considering all possible close contacts, the MI analysis estimated 66% of source cases were close contacts, implying the minimum attributable proportion of infant cases due to transmission from casual contact with community members was 34% (95% CI = 24%, 44%. Estimates from the complete case analysis were comparable but less precise. Results were sensitive to changes in the operational definition of a source case, which broadened the range of MI point estimates of transmission from casual community contact to 20%–47%. We conclude that casual contact appears to be responsible for a substantial proportion of pertussis transmission to young infants. Medical subject headings (MeSH: multiple imputation, pertussis, transmission, casual contact, sensitivity analysis, missing data, community.

  6. Critical level of radionuclides pollution estimation for different soil type of Ukrainian Polessye

    International Nuclear Information System (INIS)

    Kravets, A.; Pavlenko, Y.

    1996-01-01

    The successive development and adaptation of general algorithm of calculation of doses from intake 137 Cs and 90 Sr as a function of pollution level and a type of soil as a source of the human trophycal chains and its use in solution of reverse problem, namely- estimation of the critical level of radionuclides pollution for the main type of soil of Ukrainian Polessye has been proposed. Calculation was realized as a combination of dynamic model of migration of radionuclides in soil and spreadsheet form with Quattro Pro, version 4.0. (author)

  7. Lifetime Estimation of Electrolytic Capacitors in Fuel Cell Power Converter at Various Confidence Levels

    DEFF Research Database (Denmark)

    Zhou, Dao; Wang, Huai; Blaabjerg, Frede

    2016-01-01

    based lifetime expectancy of the individual capacitor and the capacitor bank is estimated in a fuel cell backup power converter operating in both standby mode and operation mode. The lifetime prediction of the capacitor banks at different confidence levels is also obtained.......DC capacitors in power electronic converters are a major constraint on improvement of the power density and the reliability. In this paper, according to the degradation data of tested capacitors, the lifetime model of the component is analyzed at various confidence levels. Then, the mission profile...

  8. A new method to estimate global mass transport and its implication for sea level rise

    Science.gov (United States)

    Yi, S.; Heki, K.

    2017-12-01

    Estimates of changes in global land mass by using GRACE observations can be achieved by two methods, a mascon method and a forward modeling method. However, results from these two methods show inconsistent secular trend. Sea level budget can be adopted to validate the consistency among observations of sea level rise by altimetry, steric change by the Argo project, and mass change by GRACE. Mascon products from JPL, GSFC and CSR are compared here, we find that all these three products cannot achieve a reconciled sea level budget, while this problem can be solved by a new forward modeling method. We further investigate the origin of this difference, and speculate that it is caused by the signal leakage from the ocean mass. Generally, it is well recognized that land signals leak into oceans, but it also happens the other way around. We stress the importance of correction of leakage from the ocean in the estimation of global land masses. Based on a reconciled sea level budget, we confirmed that global sea level rise has been accelerating significantly over 2005-2015, as a result of the ongoing global temperature increase.

  9. ESTIMATION OF MALONDIALDEHYDE AND VITAMIN-E LEVELS IN NEONATAL HYPERBILIRUBINEMIA BEFORE AND AFTER PHOTOTHERAPY

    Directory of Open Access Journals (Sweden)

    Sidrah, Tandrapad Priyanka, Asiya Naaz, Lakshmi Chaitanya G, Sridevi D

    2015-07-01

    Full Text Available Background: Hyperbilirubinemia is a common and benign problem in neonates worldwide. It is observed during the 1st week of life in approximately 60% of term neonates and 80% of preterm neonates. Phototherapy is most widely used as therapy for unconjugated hyperbilirubinemia. Phototherapy is related to oxidative stress and lipid peroxidation. The present study is undertaken to establish the relation between anti-oxidant status and the marker of lipid peroxidation in neonatal hyperbilirubinemia before and after phototherapy. Objectives: To estimate the levels of MDA (malondialdehyde and vit-E levels in neonatal hyperbilirubinemia before and after phototherapy. Material and Methods: A total of 30 patients were eligible for the study who met the inclusion and exclusion criteria. Blood sample was collected from neonates of preterm/full term age 1 to 10 days with hyperbilirubinemia undergoing phototherapy. Total Bilirubin, Direct Bilirubin, MDA and vit-E levels were estimated in serum by thiobarbituric acid (TBA method and Backer and Frank’s Method respectively. Results: The present study showed increase in Total bilirubin, Direct bilirubin, MDA and decrease in vit-E levels before phototherapy when compared to control group and same subjects after phototherapy showed decrease in Total bilirubin and Direct bilirubin, MDA and a further decrease in vit-E levels. Conclusion: From these results it is concluded though phototherapy had a beneficial effect in treatment of neonatal hyperbilirubinemia, supplementation of vit-E is necessary in addition to phototherapy.

  10. A local-community-level, physically-based model of end-use energy consumption by Australian housing stock

    International Nuclear Information System (INIS)

    Ren Zhengen; Paevere, Phillip; McNamara, Cheryl

    2012-01-01

    We developed a physics based bottom-up model to estimate annual housing stock energy consumption at a local community level (Census Collection District—CCD) with an hourly resolution. Total energy consumption, including space heating and cooling, water heating, lighting and other household appliances, was simulated by considering building construction and materials, equipment and appliances, local climates and occupancy patterns. The model was used to analyse energy use by private dwellings in more than five thousand CCDs in the state of New South Wales (NSW), Australia. The predicted results focus on electricity consumption (natural gas and other fuel sources were excluded as the data are not available) and track the actual electricity consumption at CCD level with an error of 9.2% when summed to state level. For NSW and Victoria 2006, the predicted state electricity consumption is close to the published model (within 6%) and statistical data (within 10%). A key feature of the model is that it can be used to predict hourly electricity consumption and peak demand at fine geographic scales, which is important for grid planning and designing local energy efficiency or demand response strategies. - Highlights: ► We developed a physics-based model to estimate housing stock energy consumption. ► House type and vintage, family type and occupancy time were considered. ► The model results are close to actual energy consumption at local community level. ► Its’ results agree well with the published model and statistical data at state level. ► It shows the model could provide from hourly to annual residential energy consumption.

  11. Estimation of Potential Population Level Effects of Contaminants on Wildlife; FINAL

    International Nuclear Information System (INIS)

    Loar, J.M.

    2001-01-01

    The objective of this project is to provide DOE with improved methods to assess risks from contaminants to wildlife populations. The current approach for wildlife risk assessment consists of comparison of contaminant exposure estimates for individual animals to literature-derived toxicity test endpoints. These test endpoints are assumed to estimate thresholds for population-level effects. Moreover, species sensitivities to contaminants is one of several criteria to be considered when selecting assessment endpoints (EPA 1997 and 1998), yet data on the sensitivities of many birds and mammals are lacking. The uncertainties associated with this approach are considerable. First, because toxicity data are not available for most potential wildlife endpoint species, extrapolation of toxicity data from test species to the species of interest is required. There is no consensus on the most appropriate extrapolation method. Second, toxicity data are represented as statistical measures (e.g., NOAEL s or LOAELs) that provide no information on the nature or magnitude of effects. The level of effect is an artifact of the replication and dosing regime employed, and does not indicate how effects might increase with increasing exposure. Consequently, slight exceedance of a LOAEL is not distinguished from greatly exceeding it. Third, the relationship of toxic effects on individuals to effects on populations is poorly estimated by existing methods. It is assumed that if the exposure of individuals exceeds levels associated with impaired reproduction, then population level effects are likely. Uncertainty associated with this assumption is large because depending on the reproductive strategy of a given species, comparable levels of reproductive impairment may result in dramatically different population-level responses. This project included several tasks to address these problems: (1) investigation of the validity of the current allometric scaling approach for interspecies extrapolation

  12. Estimating Water Supply Arsenic Levels in the New England Bladder Cancer Study

    Science.gov (United States)

    Freeman, Laura E. Beane; Lubin, Jay H.; Airola, Matthew S.; Baris, Dalsu; Ayotte, Joseph D.; Taylor, Anne; Paulu, Chris; Karagas, Margaret R.; Colt, Joanne; Ward, Mary H.; Huang, An-Tsun; Bress, William; Cherala, Sai; Silverman, Debra T.; Cantor, Kenneth P.

    2011-01-01

    Background: Ingestion of inorganic arsenic in drinking water is recognized as a cause of bladder cancer when levels are relatively high (≥ 150 µg/L). The epidemiologic evidence is less clear at the low-to-moderate concentrations typically observed in the United States. Accurate retrospective exposure assessment over a long time period is a major challenge in conducting epidemiologic studies of environmental factors and diseases with long latency, such as cancer. Objective: We estimated arsenic concentrations in the water supplies of 2,611 participants in a population-based case–control study in northern New England. Methods: Estimates covered the lifetimes of most study participants and were based on a combination of arsenic measurements at the homes of the participants and statistical modeling of arsenic concentrations in the water supply of both past and current homes. We assigned a residential water supply arsenic concentration for 165,138 (95%) of the total 173,361 lifetime exposure years (EYs) and a workplace water supply arsenic level for 85,195 EYs (86% of reported occupational years). Results: Three methods accounted for 93% of the residential estimates of arsenic concentration: direct measurement of water samples (27%; median, 0.3 µg/L; range, 0.1–11.5), statistical models of water utility measurement data (49%; median, 0.4 µg/L; range, 0.3–3.3), and statistical models of arsenic concentrations in wells using aquifers in New England (17%; median, 1.6 µg/L; range, 0.6–22.4). Conclusions: We used a different validation procedure for each of the three methods, and found our estimated levels to be comparable with available measured concentrations. This methodology allowed us to calculate potential drinking water exposure over long periods. PMID:21421449

  13. Preterm birth–associated neurodevelopmental impairment estimates at regional and global levels for 2010

    Science.gov (United States)

    Blencowe, Hannah; Lee, Anne CC; Cousens, Simon; Bahalim, Adil; Narwal, Rajesh; Zhong, Nanbert; Chou, Doris; Say, Lale; Modi, Neena; Katz, Joanne; Vos, Theo; Marlow, Neil; Lawn, Joy E.

    2013-01-01

    Background: In 2010, there were an estimated 15 million preterm births worldwide (preterm babies according to the level of care. A compartmental model was used to estimate the number of impaired postneonatal survivors following preterm birth in 2010. A separate model (DisMod-MR) was used to estimate years lived with disability (YLDs) for the global burden of disease 2010 study. Disability adjusted life years (DALYs) were calculated as the sum of YLDs and years of life lost (YLLs). Results: In 2010, there were an estimated 13 million preterm births who survived beyond the first month. Of these, 345,000 (2.7%, uncertainty range: 269,000–420,000) were estimated to have moderate or severe neurodevelopmental impairment, and a further 567,000 (4.4%, (445,000–732,000)) were estimated to have mild neurodevelopmental impairment. Many more have specific learning or behavioral impairments or reduced physical or mental health. Fewest data are available where the burden is heaviest. Preterm birth was responsible for 77 million DALYs, 3.1% of the global total, of which only 3 million were YLDs. Conclusion: Most preterm births (>90%) survive without neurodevelopmental impairment. Developing effective means of prevention of preterm birth should be a longer term priority, but major burden reduction could be made immediately with improved coverage and quality of care. Improved newborn care would reduce mortality, especially in low-income countries and is likely to reduce impairment in survivors, particularly in middle-income settings. PMID:24366461

  14. Prenatal care utilization in Zimbabwe: Examining the role of community-level factors.

    Science.gov (United States)

    Makate, Marshall; Makate, Clifton

    2017-12-01

    This paper assesses the importance of community-level factors on prenatal care utilization in Zimbabwe. The analysis is performed using data from the two most recent rounds of the nationally representative Demographic and Health Survey for Zimbabwe conducted in 2005/06 and 2010/11 linked with other community-level data. We use logistic, generalized linear regressions as well as multilevel mixed models to examine the factors associated with the frequency, timing and quality of prenatal care. Our results suggest that contraceptive prevalence, religious composition, density of nurses, health expenditures per capita and availability of government hospitals in communities are important predictors of prenatal care use in Zimbabwe. These findings have important implications for public health policy in Zimbabwe - a country with unfavorable maternal and child health outcomes. Copyright © 2017 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. All rights reserved.

  15. Predictors of elevational biodiversity gradients change from single taxa to the multi-taxa community level.

    Science.gov (United States)

    Peters, Marcell K; Hemp, Andreas; Appelhans, Tim; Behler, Christina; Classen, Alice; Detsch, Florian; Ensslin, Andreas; Ferger, Stefan W; Frederiksen, Sara B; Gebert, Friederike; Haas, Michael; Helbig-Bonitz, Maria; Hemp, Claudia; Kindeketa, William J; Mwangomo, Ephraim; Ngereza, Christine; Otte, Insa; Röder, Juliane; Rutten, Gemma; Schellenberger Costa, David; Tardanico, Joseph; Zancolli, Giulia; Deckert, Jürgen; Eardley, Connal D; Peters, Ralph S; Rödel, Mark-Oliver; Schleuning, Matthias; Ssymank, Axel; Kakengi, Victor; Zhang, Jie; Böhning-Gaese, Katrin; Brandl, Roland; Kalko, Elisabeth K V; Kleyer, Michael; Nauss, Thomas; Tschapka, Marco; Fischer, Markus; Steffan-Dewenter, Ingolf

    2016-12-22

    The factors determining gradients of biodiversity are a fundamental yet unresolved topic in ecology. While diversity gradients have been analysed for numerous single taxa, progress towards general explanatory models has been hampered by limitations in the phylogenetic coverage of past studies. By parallel sampling of 25 major plant and animal taxa along a 3.7 km elevational gradient on Mt. Kilimanjaro, we quantify cross-taxon consensus in diversity gradients and evaluate predictors of diversity from single taxa to a multi-taxa community level. While single taxa show complex distribution patterns and respond to different environmental factors, scaling up diversity to the community level leads to an unambiguous support for temperature as the main predictor of species richness in both plants and animals. Our findings illuminate the influence of taxonomic coverage for models of diversity gradients and point to the importance of temperature for diversification and species coexistence in plant and animal communities.

  16. Efficacy of serum nitric oxide level estimation in assessing the severity of necrotizing pancreatitis.

    Science.gov (United States)

    Mettu, Srinivas Reddy; Wig, Jai Dev; Khullar, Madhu; Singh, Gurpreet; Gupta, Rajesh

    2003-01-01

    The role of nitric oxide in the pathophysiology of necrotizing pancreatitis is unclear. In a prospective study, the clinical course of 40 patients diagnosed as having acute necrotizing pancreatitis was followed using computed tomography severity score (CTSS) and serial APACHE II scoring. The serum nitric oxide levels in the form of reactive nitrogen intermediates (RNI) were estimated on admission and on day 3. Occurrence of complications, need for intervention, incidence of organ failure, and outcome were noted. The efficacy of CTSS, APACHE II scores, and RNI levels in predicting morbidity and mortality was assessed. The correlation between CTSS, APACHE II scores, and RNI levels was studied. The study group showed significantly higher levels of RNI as compared with the control group (159.1 vs. 106.0 nmol/ml, p RNI levels were not affected by the occurrence of local complications or distant-organ failure. The RNI levels on admission were significantly higher in the subset of patients who developed bacterial sepsis (195.5 vs. 134.7 nmol/ml, p RNI levels on admission in the non-survivors were higher as compared with those of the survivors (216.0 vs. 140.1 nmol/ml, p RNI levels and the CTSS in these patients (p RNI levels and APACHE II scores. Acute necrotizing pancreatitis is associated with raised serum nitric oxide levels at its early stage. Patients with higher serum nitric oxide levels are at a significantly higher risk of sepsis and mortality. Copyright 2003 S. Karger AG, Basel and IAP

  17. Injury in community-level soccer: development of an injury surveillance system.

    Science.gov (United States)

    McNoe, Bronwen M; Chalmers, David J

    2010-12-01

    Few descriptive epidemiologic studies of injury in soccer are of community-level players. Although many sports injury surveillance systems have been described in the scientific literature, only 1 has been implemented in community-level soccer and that was restricted to adolescent players in a single club. The objective of this study was to develop a method for undertaking routine surveillance of injury in community-level soccer. Cohort study; Level of evidence, 2. A cohort of 880 community-level players aged 13 years and over was followed over 1 winter competitive season. Each week, each player was contacted by telephone and an interview conducted to collect data on participation in matches and training sessions, injuries, and adherence to injury prevention measures. Seventy-five percent (n = 510) of the cohort was male and the median age was 16 years. Data were collected on 11 268 player-matches totaling 13 483 player-match hours and 11 540 player-training sessions totaling 16 031 player-training hours. A total of 677 match injury events were reported, giving overall incidence rates of 50.2 injury events per 1000 player-match hours and 6.0 injury events per 100 player-matches. The incidence rate for match injury events was significantly higher for females than for males (63.9 vs 46.9). A total of 145 training injury events were reported, giving overall incidence rates of 9.0 injury events per 1000 player-training hours and 1.3 injury events per 100 player-training sessions. The most common injuries were sprains and strains of the lower limb, and tackling was the most common cause of injury. This study has shown that routine injury surveillance, using a cohort design with exposure measurement, can be successfully implemented in community-level soccer.

  18. Knowledge-Based Estimation of Edible Fern Harvesting Sites in Mountainous Communities of Northeastern Japan

    Directory of Open Access Journals (Sweden)

    Toshiya Matsuura

    2013-12-01

    Full Text Available Once local expert knowledge regarding the harvesting of various non-timber forest products (NTFPs is lost, it is difficult to recover. We investigated whether the knowledge of expert forest harvesters can be used to determine the habitat distribution and harvesting sites of three popular edible wild ferns, i.e., ostrich fern (Matteuccia struthiopteris, bracken (Pteridium aquilinum, and royal fern (Osmunda japonica, in mountainous communities of western Fukushima, Japan. Using multi-criteria evaluation (MCE based on the analytic hierarchy process (AHP and geographic information system (GIS, we found that harvesters were easily able to recognize differences in the spatial characteristics of the habitat distribution of fern species due to both natural and anthropogenic factors. These factors were described by various GIS layers, such as vegetation and terrain features (e.g., gradient, aspect, and slope position derived from a 20-m digital elevation model (DEM. Harvesting sites were limited by their distance from a roadway, which differed among species. By comparison with the GPS records of actual harvesting sites, we estimated the potential harvesting sites of each fern species with reasonable accuracy, particularly for bracken. Our results show that the knowledge of expert forest harvesters can be quantified using MCE and GIS, which is useful for determining the spatial characteristics of NTFP harvesting and ensuring sustainable management practices.

  19. Estimation of surface UV levels based on Meteor-3/TOMS ozone data

    Energy Technology Data Exchange (ETDEWEB)

    Borisov, Y.A. [Central Aerological Observatory, Moscow (Russian Federation); Geogdzhaev, I.V. [Moscow Inst. of Physics and Technology, Moscow (Russian Federation); Khattatov, V.U. [Central Aerological Observatory, Moscow (Russian Federation)

    1995-12-31

    The major consequence of ozone layer depletion for the environment is an increase of harmful ultraviolet (UV) radiation on the Earth surface and in the upper ocean. This implies the importance of environmental UV monitoring. Since the direct global monitoring is not currently possible, indirect estimations of surface UV levels may be used based on satellite ozone data (Madronich, S. 1992). Total Ozone Mapping Spectrometer (TOMS) on board the METEOR-3 satellite provided regular set of data for such estimates. During the time of its operation (August, 1991 - December, 1994) the instrument registered several ozone hole events over Antarctica, when ozone levels dropped by as much as 60 % from their unperturbed values. Probably even more alarming ozone depletions were observed over highly populated regions of middle latitudes of northern hemisphere. Radiative transfer modeling was used to convert METEOR-3/TOMS daily ozone values into regional and global maps of biologically active UV. Calculations demonstrate the effect on surface UV levels produced by ozone hole over Antarctica and ozone depletions over the territory of Russia (March, 1994). UV contour lines deviate from the normal appearance which is determined by growing southward solar elevation. UV contour lines are almost perpendicular to the ozone ones in the ozone depletions areas. The 30 % ozone depletion, over Siberia caused more than 30 % increase in noontime erythemal UV levels, which is equivalent to 10-15 degrees southward latitude displacement. Higher UV radiation increases were found in ozone hole over South America (October 1992) equivalent to about 20 degrees southward displacement

  20. Development of a package program for estimating ground level concentrations of radioactive gases

    International Nuclear Information System (INIS)

    Nilkamhang, W.

    1986-01-01

    A package program for estimating ground level concentration of radioactive gas from elevate release was develop for use on IBM P C microcomputer. The main program, GAMMA PLUME NT10, is based on the well known VALLEY MODEL which is a Fortran computer code intended for mainframe computers. Other two options were added, namely, calculation of radioactive gas ground level concentration in Ci/m 3 and dose equivalent rate in mren/hr. In addition, a menu program and editor program were developed to render the program easier to use since the option could be readily selected and the input data could be easily modified as required through the keyboard. The accuracy and reliability of the program is almost identical to the mainframe. Ground level concentration of radioactive radon gas due to ore program processing in the nuclear chemistry laboratory of the Department of Nuclear Technology was estimated. In processing radioactive ore at a rate of 2 kg/day, about 35 p Ci/s of radioactive gas was released from a 14 m stack. When meteorological data of Don Muang (average for 5 years 1978-1982) were used maximum ground level concentration and the dose equivalent rate were found to be 0.00094 p Ci/m 3 and 5.0 x 10 -10 mrem/hr respectively. The processing time required for the above problem was about 7 minutes for any case of source on IBM P C which was acceptable for a computer of this class

  1. Community-Level Characteristics Associated With Variation in Rates of Homelessness Among Families and Single Adults

    Science.gov (United States)

    Fargo, Jamison D.; Munley, Ellen A.; Byrne, Thomas H.; Montgomery, Ann Elizabeth; Culhane, Dennis P.

    2013-01-01

    Objectives. We modeled rates of family and single-adult homelessness in the United States in metropolitan and nonmetropolitan regions and as a function of community-level demographic, behavioral, health, economic, and safety net characteristics. Methods. We entered community-level characteristics and US Department of Housing and Urban Development point-in-time counts for a single night in January 2009 into separate mixed-effects statistical analyses that modeled homelessness rates for 4 subpopulations: families and single adults in metropolitan and nonmetropolitan regions. Results. Community-level factors accounted for 25% to 50% of the variance in homelessness rates across models. In metropolitan regions, alcohol consumption, social support, and several economic indicators were uniquely associated with family homelessness, and drug use and homicide were uniquely associated with single-adult homelessness. In nonmetropolitan regions, life expectancy, religious adherence, unemployment, and rent burden were uniquely associated with family homelessness, and health care access, crime, several economic indicators, and receipt of Supplemental Security Income were uniquely associated with single-adult homelessness. Conclusions. Considering homeless families and single adults separately enabled more precise modeling of associations between homelessness rates and community-level characteristics, indicating targets for interventions to reduce homelessness among these subpopulations. PMID:24148057

  2. Students' Mathematics Self-Efficacy, Anxiety, and Course Level at a Community College

    Science.gov (United States)

    Spaniol, Scott R.

    2017-01-01

    Research suggests that student success in mathematics is positively correlated to math self-efficacy and negatively correlated to math anxiety. At a Hispanic serving community college in the Midwest, developmental math students had a lower pass rate than did college-level math students, but the role of math self-efficacy and math anxiety on these…

  3. Community-level characteristics associated with variation in rates of homelessness among families and single adults.

    Science.gov (United States)

    Fargo, Jamison D; Munley, Ellen A; Byrne, Thomas H; Montgomery, Ann Elizabeth; Culhane, Dennis P

    2013-12-01

    We modeled rates of family and single-adult homelessness in the United States in metropolitan and nonmetropolitan regions and as a function of community-level demographic, behavioral, health, economic, and safety net characteristics. We entered community-level characteristics and US Department of Housing and Urban Development point-in-time counts for a single night in January 2009 into separate mixed-effects statistical analyses that modeled homelessness rates for 4 subpopulations: families and single adults in metropolitan and nonmetropolitan regions. Community-level factors accounted for 25% to 50% of the variance in homelessness rates across models. In metropolitan regions, alcohol consumption, social support, and several economic indicators were uniquely associated with family homelessness, and drug use and homicide were uniquely associated with single-adult homelessness. In nonmetropolitan regions, life expectancy, religious adherence, unemployment, and rent burden were uniquely associated with family homelessness, and health care access, crime, several economic indicators, and receipt of Supplemental Security Income were uniquely associated with single-adult homelessness. Considering homeless families and single adults separately enabled more precise modeling of associations between homelessness rates and community-level characteristics, indicating targets for interventions to reduce homelessness among these subpopulations.

  4. Physical activity level and fall risk among community-dwelling older adults.

    Science.gov (United States)

    Low, Sok Teng; Balaraman, Thirumalaya

    2017-07-01

    [Purpose] To find the physical activity level and fall risk among the community-dwelling Malaysian older adults and determine the correlation between them. [Subjects and Methods] A cross-sectional study was conducted in which, the physical activity level was evaluated using the Rapid Assessment of Physical Activity questionnaire and fall risk with Fall Risk Assessment Tool. Subjects recruited were 132 community-dwelling Malaysian older adults using the convenience sampling method. [Results] The majority of the participants were under the category of under-active regular light-activities and most of them reported low fall risk. The statistical analysis using Fisher's exact test did not show a significant correlation between physical activity level and fall risk. [Conclusion] The majority of community-dwelling Malaysian older adults are performing some form of physical activity and in low fall risk category. But this study did not find any significant correlation between physical activity level and fall risk among community-dwelling older adults in Malaysia.

  5. Examining the Relationships between the Level of Schools for Being Professional Learning Communities and Teacher Professionalism

    Science.gov (United States)

    Cansoy, Ramazan; Parlar, Hanifi

    2017-01-01

    The objective of this study is to examine the relationships between the levels of schools for being professional learning communities and teacher professionalism based on teachers' perceptions. The participants were a total of 543 teachers working at elementary, middle and high schools in the Eyüp District of Istanbul. The data were gathered…

  6. Estimation of evapotranspiration using diurnal groundwater level fluctuations: Comparison of different approaches with groundwater lysimeter data

    Science.gov (United States)

    Fahle, Marcus; Dietrich, Ottfried

    2014-01-01

    In wetlands or riparian areas, water withdrawal by plants with access to groundwater or the capillary fringe often causes diurnal groundwater fluctuations. Various approaches use the characteristics of these fluctuations for estimation of daily groundwater evapotranspiration rates. The objective of this paper was to review the available methods, compare them with measured evapotranspiration and assess their recharge assumptions. For this purpose, we employed data of 85 rain-free days of a weighable groundwater lysimeter situated at a grassland site in the Spreewald wetland in north-east Germany. Measurements of hourly recharge and daily evapotranspiration rates were used to assess the different approaches. Our results showed that a maximum of 50% of the day to day variance of the daily evapotranspiration rates could be explained by the approaches based on groundwater fluctuations. Simple and more complex methods performed similarly. For some of the approaches, there were indications that erroneous assumptions compensated each other (e.g., when overestimated recharge counteracted underestimated storage change). We found that the usage of longer time spans resulted in improved estimates of the daily recharge rates and that the estimates were further enhanced by including two night averages. When derived from fitting estimates of recharge or evapotranspiration with according measurements the specific yield, needed to convert changes in water level to water volumes, differed considerably among the methods (from 0.022 to 0.064). Thus, the specific yield can be seen as "correction factor" that compensates for inadequate process descriptions.

  7. Estimating safe maximum levels of vitamins and minerals in fortified foods and food supplements.

    Science.gov (United States)

    Flynn, Albert; Kehoe, Laura; Hennessy, Áine; Walton, Janette

    2017-12-01

    To show how safe maximum levels (SML) of vitamins and minerals in fortified foods and supplements may be estimated in population subgroups. SML were estimated for adults and 7- to 10-year-old children for six nutrients (retinol, vitamins B6, D and E, folic acid, iron and calcium) using data on usual daily nutrient intakes from Irish national nutrition surveys. SML of nutrients in supplements were lower for children than for adults, except for calcium and iron. Daily energy intake from fortified foods in high consumers (95th percentile) varied by nutrient from 138 to 342 kcal in adults and 40-309 kcal in children. SML (/100 kcal) of nutrients in fortified food were lower for children than adults for vitamins B6 and D, higher for vitamin E, with little difference for other nutrients. Including 25 % 'overage' for nutrients in fortified foods and supplements had little effect on SML. Nutritionally significant amounts of these nutrients can be added safely to supplements and fortified foods for these population subgroups. The estimated SML of nutrients in fortified foods and supplements may be considered safe for these population subgroups over the long term given the food composition and dietary patterns prevailing in the respective dietary surveys. This risk assessment approach shows how nutrient intake data may be used to estimate, for population subgroups, the SML for vitamins and minerals in both fortified foods and supplements, separately, each taking into account the intake from other dietary sources.

  8. Child abuse, disruptive behavior disorders, depression, and salivary cortisol levels among institutionalized and community-residing boys in Mongolia.

    Science.gov (United States)

    Kohrt, Brandon A; Hruschka, Daniel J; Kohrt, Holbrook E; Carrion, Victor G; Waldman, Irwin D; Worthman, Carol M

    2015-03-01

    Hypothalamic-pituitary-adrenal (HPA) axis activity is related to childhood disruptive behavior disorders and to exposure to abuse and neglect. This study explores the relationship of diurnal salivary cortisol levels with oppositional defiant disorder (ODD) and caregiver attitudes toward physical punishment among boys in Mongolia. Salivary cortisol was collected in the home or institution 4 times daily for 4 days from 46 boys, aged 4-10 years, in Ulaanbaatar, Mongolia. Caregivers rated child disruptive behavior symptoms, attitudes toward physical punishment, and community violence exposures. Mixed effects models were used to estimate the association of psychopathology and caregiver attitudes with salivary cortisol levels. Boys meeting criteria for ODD displayed consistently lower diurnal salivary cortisol levels compared to boys without ODD diagnoses. Controlling for ODD diagnosis, boys with depression showed higher cortisol levels throughout the day. No other diagnosis was associated with cortisol levels. Psychiatric diagnosis accounted for 17% of between individual variations in cortisol levels unexplained by the covariates. In a separate model, caregivers' beliefs regarding physical punishment accounted for 11% of between individual differences: boys with caregivers who stated physical punishment was necessary for discipline displayed hypocortisolism. Institutionalization did not associate with cortisol levels. Salivary cortisol data from a non-Western naturalistic setting support an association of reduced basal HPA activity with disruptive behavior disorders and caregiver attitudes toward discipline. These findings suggest HPA functioning may be a reflection of or mediate disruptive behavior disorders in children across ethnic and cultural settings. © 2014 Wiley Publishing Asia Pty Ltd.

  9. Uncertainties in Tidally Adjusted Estimates of Sea Level Rise Flooding (Bathtub Model for the Greater London

    Directory of Open Access Journals (Sweden)

    Ali P. Yunus

    2016-04-01

    Full Text Available Sea-level rise (SLR from global warming may have severe consequences for coastal cities, particularly when combined with predicted increases in the strength of tidal surges. Predicting the regional impact of SLR flooding is strongly dependent on the modelling approach and accuracy of topographic data. Here, the areas under risk of sea water flooding for London boroughs were quantified based on the projected SLR scenarios reported in Intergovernmental Panel on Climate Change (IPCC fifth assessment report (AR5 and UK climatic projections 2009 (UKCP09 using a tidally-adjusted bathtub modelling approach. Medium- to very high-resolution digital elevation models (DEMs are used to evaluate inundation extents as well as uncertainties. Depending on the SLR scenario and DEMs used, it is estimated that 3%–8% of the area of Greater London could be inundated by 2100. The boroughs with the largest areas at risk of flooding are Newham, Southwark, and Greenwich. The differences in inundation areas estimated from a digital terrain model and a digital surface model are much greater than the root mean square error differences observed between the two data types, which may be attributed to processing levels. Flood models from SRTM data underestimate the inundation extent, so their results may not be reliable for constructing flood risk maps. This analysis provides a broad-scale estimate of the potential consequences of SLR and uncertainties in the DEM-based bathtub type flood inundation modelling for London boroughs.

  10. Do Estimates of Water Productivity Enhance Understanding of Farm-Level Water Management?

    Directory of Open Access Journals (Sweden)

    Dennis Wichelns

    2014-03-01

    Full Text Available Estimates of water productivity are appearing with increasing frequency in the literature pertaining to agronomy, water management, and water policy. Some authors report such estimates as one of the outcome variables of experiment station studies, while others calculate water productivities when comparing regional crop production information. Many authors suggest or imply that higher values of water productivity are needed to ensure that future food production goals are achieved. Yet maximizing water productivity might not be consistent with farm-level goals or with societal objectives regarding water allocation and management. Farmers in both rainfed and irrigated settings must address a complex set of issues pertaining to risk, uncertainty, prices, and opportunity costs, when selecting activities and determining optimal strategies. It is not clear that farmers in either setting will or should choose to maximize water productivity. Upon examining water productivity, both conceptually and empirically, using published versions of crop production functions, I conclude that estimates of water productivity contain too little information to enhance understanding of farm-level water management.

  11. Hierarchical Bayes Small Area Estimation under a Unit Level Model with Applications in Agriculture

    Directory of Open Access Journals (Sweden)

    Nageena Nazir

    2016-09-01

    Full Text Available To studied Bayesian aspect of small area estimation using Unit level model. In this paper we proposed and evaluated new prior distribution for the ratio of variance components in unit level model rather than uniform prior. To approximate the posterior moments of small area means, Laplace approximation method is applied. This choice of prior avoids the extreme skewness, usually present in the posterior distribution of variance components. This property leads to more accurate Laplace approximation. We apply the proposed model to the analysis of horticultural data and results from the model are compared with frequestist approach and with Bayesian model of uniform prior in terms of average relative bias, average squared relative bias and average absolute bias. The numerical results obtained highlighted the superiority of using the proposed prior over the uniform prior. Thus Bayes estimators (with new prior of small area means have good frequentist properties such as MSE and ARB as compared to other traditional methods viz., Direct, Synthetic and Composite estimators.

  12. Low level estimation of 1,4-dioxane in ambient air

    International Nuclear Information System (INIS)

    Pandit, G.G.; Sahu, S.K.; Puranik, V.D.

    2007-05-01

    The chemical, 1,4-dioxane does have much relevance with respect to Indian Nuclear Power Programme for counting of Tritium, which is mainly generated during the operation of nuclear research reactors and power reactors which use heavy water. Tritium analysis is routinely carried out at BARC. The scintillation solutions which are used for tritium counting, consist of mainly 1,4 dioxane and naphthalene along with minor concentration of PPO/POPOP. Each sample analysis generates about 10 ml of tritium contaminated spent scintillation liquid waste. Total generation rate of the waste in a typical PHWR reactor is about 2-3 m 3 /year. Controlled incineration of scintillation liquids has been opted at BARC for the treatment of radioactive organic waste. Now that 1,4-dioxane has shown threat to human health and environment, it is important and necessary to know its levels (concentrations) in different environmental compartments to evaluate the risks associated with it. Standard methods are available for the measurement of 1,4-dioxane in air. Higher concentration can be estimated by direct analysis but estimation at lower levels (parts per billion-ppb) requires pre concentration prior to its analysis. Here an improved method that offers increased sensitivity has been used for determining lower levels of 1,4-dioxane. This report presents (1) the development of the methodology for the estimation of 1,4-dioxane at ppb levels using cryogenic pre-concentration and subsequent analysis by Gas Chromatograph with Electron Capture detector (GC-ECD) (2) techniques to check the incineration efficiency and release of 1,4-dioxane to the environment. The data generated by this study could be further used in the evaluation of risk. (author)

  13. Utilization of PSO algorithm in estimation of water level change of Lake Beysehir

    Science.gov (United States)

    Buyukyildiz, Meral; Tezel, Gulay

    2017-04-01

    In this study, unlike backpropagation algorithm which gets local best solutions, the usefulness of particle swarm optimization (PSO) algorithm, a population-based optimization technique with a global search feature, inspired by the behavior of bird flocks, in determination of parameters of support vector machines (SVM) and adaptive network-based fuzzy inference system (ANFIS) methods was investigated. For this purpose, the performances of hybrid PSO-ɛ support vector regression (PSO-ɛSVR) and PSO-ANFIS models were studied to estimate water level change of Lake Beysehir in Turkey. The change in water level was also estimated using generalized regression neural network (GRNN) method, an iterative training procedure. Root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination ( R 2) were used to compare the obtained results. Efforts were made to estimate water level change (L) using different input combinations of monthly inflow-lost flow (I), precipitation (P), evaporation (E), and outflow (O). According to the obtained results, the other methods except PSO-ANN generally showed significantly similar performances to each other. PSO-ɛSVR method with the values of minMAE = 0.0052 m, maxMAE = 0.04 m, and medianMAE = 0.0198 m; minRMSE = 0.0070 m, maxRMSE = 0.0518 m, and medianRMSE = 0.0241 m; min R 2 = 0.9169, max R 2 = 0.9995, median R 2 = 0.9909 for the I-P-E-O combination in testing period became superior in forecasting water level change of Lake Beysehir than the other methods. PSO-ANN models were the least successful models in all combinations.

  14. Estimated Levels of Gluten Incidentally Present in a Canadian Gluten-Free Diet

    Science.gov (United States)

    Vieille, Sébastien La; Dubois, Sheila; Hayward, Stephen; Koerner, Terence B.

    2014-01-01

    Avoiding exposure to gluten is currently the only effective treatment for celiac disease. However, the evidence suggests that for most affected individuals, exposure to less than 10 mg/day is unlikely to cause histological changes to the intestinal mucosa. The daily diet of people with celiac disease does not rely solely on gluten-free pre-packaged foods, but also on naturally gluten-free grains (e.g., rice, buckwheat, ...) and foods with grain-derived ingredients (i.e., flour and starches) used for cooking and baking at home. The objective of this study was to estimate the level of incidental gluten potentially present in gluten-free diets from a Canadian perspective. We have conducted gluten exposure estimations from grain-containing foods and foods with grain-derived ingredients, taking into consideration the various rates of food consumption by different sex and age groups. These estimates have concluded that if gluten was present at levels not exceeding 20 ppm, exposure to gluten would remain below 10 mg per day for all age groups studied. However, in reality the level of gluten found in naturally gluten-free ingredients is not static and there may be some concerns related to the flours made from naturally gluten-free cereal grains. It was found that those containing a higher level of fiber and that are frequently used to prepare daily foods by individuals with celiac disease could be a concern. For this category of products, only the flours and starches labelled “gluten-free” should be used for home-made preparations. PMID:24566442

  15. Estimated Levels of Gluten Incidentally Present in a Canadian Gluten-Free Diet

    Directory of Open Access Journals (Sweden)

    Sébastien La Vieille

    2014-02-01

    Full Text Available Avoiding exposure to gluten is currently the only effective treatment for celiac disease. However, the evidence suggests that for most affected individuals, exposure to less than 10 mg/day is unlikely to cause histological changes to the intestinal mucosa. The daily diet of people with celiac disease does not rely solely on gluten-free pre-packaged foods, but also on naturally gluten-free grains (e.g., rice, buckwheat, ... and foods with grain-derived ingredients (i.e., flour and starches used for cooking and baking at home. The objective of this study was to estimate the level of incidental gluten potentially present in gluten-free diets from a Canadian perspective. We have conducted gluten exposure estimations from grain-containing foods and foods with grain-derived ingredients, taking into consideration the various rates of food consumption by different sex and age groups. These estimates have concluded that if gluten was present at levels not exceeding 20 ppm, exposure to gluten would remain below 10 mg per day for all age groups studied. However, in reality the level of gluten found in naturally gluten-free ingredients is not static and there may be some concerns related to the flours made from naturally gluten-free cereal grains. It was found that those containing a higher level of fiber and that are frequently used to prepare daily foods by individuals with celiac disease could be a concern. For this category of products, only the flours and starches labelled “gluten-free” should be used for home-made preparations.

  16. Estimated levels of gluten incidentally present in a Canadian gluten-free diet.

    Science.gov (United States)

    La Vieille, Sébastien; Dubois, Sheila; Hayward, Stephen; Koerner, Terence B

    2014-02-21

    Avoiding exposure to gluten is currently the only effective treatment for celiac disease. However, the evidence suggests that for most affected individuals, exposure to less than 10 mg/day is unlikely to cause histological changes to the intestinal mucosa. The daily diet of people with celiac disease does not rely solely on gluten-free pre-packaged foods, but also on naturally gluten-free grains (e.g., rice, buckwheat, ...) and foods with grain-derived ingredients (i.e., flour and starches) used for cooking and baking at home. The objective of this study was to estimate the level of incidental gluten potentially present in gluten-free diets from a Canadian perspective. We have conducted gluten exposure estimations from grain-containing foods and foods with grain-derived ingredients, taking into consideration the various rates of food consumption by different sex and age groups. These estimates have concluded that if gluten was present at levels not exceeding 20 ppm, exposure to gluten would remain below 10 mg per day for all age groups studied. However, in reality the level of gluten found in naturally gluten-free ingredients is not static and there may be some concerns related to the flours made from naturally gluten-free cereal grains. It was found that those containing a higher level of fiber and that are frequently used to prepare daily foods by individuals with celiac disease could be a concern. For this category of products, only the flours and starches labelled "gluten-free" should be used for home-made preparations.

  17. Estimation of sea level variations with GPS/GLONASS-reflectometry technique

    Science.gov (United States)

    Padokhin, A. M.; Kurbatov, G. A.; Andreeva, E. S.; Nesterov, I. A.; Nazarenko, M. O.; Berbeneva, N. A.; Karlysheva, A. V.

    2017-11-01

    In the present paper we study GNSS - reflectometry methods for estimation of sea level variations using a single GNSSreceiver, which are based on the multipath propagation effects caused by the reflection of navigational signals from the sea surface. Such multipath propagation results in the appearance of the interference pattern in the Signal-to-Noise Ratio (SNR) of GNSS signals at small satellite elevation angles, which parameters are determined by the wavelength of the navigational signal and height of the antenna phase center above the reflecting sea surface. In current work we used GPS and GLONASS signals and measurements at two working frequencies of both systems to study sea level variations which almost doubles the amount of observations compared to GPS-only tide gauge. For UNAVCO sc02 station and collocated Friday Harbor NOAA tide gauge we show good agreement between GNSS-reflectometry and traditional mareograph sea level data.

  18. [A basic study for estimating the level of exposure to a nasal inhalant containing a stimulant].

    Science.gov (United States)

    Ando, H; Shimizu, H; Takahashi, Y; Fukumoto, M; Okonogi, H; Kadokura, M

    1993-08-01

    Criminal cases involving stimulant abuse have increased since 1970 but have now leveled off. Some of the offenders claimed to have used the Vicks Inhaler containing a stimulant (1-methamphetamine) which is used for the treatment of nasal obstruction. The aim of this experiment was to measure the amount of 1-methamphetamine contained in the Vicks Inhaler by stimulating the human respiratory system. The results are as follows: 1) The data from the stimulation experiment showed that the inhalation level of 1-methamphetamine was estimated to be 320.4ng. From this value, the level of 1-methamphetamine absorbed per one respiration was calculated to be 21ng. 2) The data from quantitative and qualitative analysis by gas-chromatography showed that menthol interfered with the methamphetamine. 3) A qualitative test for the stimulant in urine was negative when the subject inhaled the Vicks Inhaler only once. However, this test turned positive when the subject inhaled it more than 17 times.

  19. Climate Change Adaptation Tools at the Community Level: An Integrated Literature Review

    Directory of Open Access Journals (Sweden)

    Elvis Modikela Nkoana

    2018-03-01

    Full Text Available The negative impacts of climate change are experienced at the global, regional and local levels. However, rural communities in sub-Saharan Africa face additional socio-political, cultural and economic challenges in addition to climate change. Decision support tools have been developed and applied to assist rural communities to cope with and adapt to climate change. However, poorly planned participatory processes and the lack of context-specific approaches in these tools are obstacles when aiming at strengthening the resilience of these rural communities. This paper uses an integrated literature review to identify best practices for involving rural communities in climate change adaptation efforts through the application of context-specific and culturally-sensitive climate change adaptation tools. These best practices include the use of a livelihoods approach to engage communities; the explicit acknowledgement of the local cultural do’s and don’ts; the recognition of local champions appointed from within the local community; the identification and prioritisation of vulnerable stakeholders; and the implementation of a two-way climate change risk communication instead of a one-sided information sharing approach.

  20. State-Level Estimates of Obesity-Attributable Costs of Absenteeism

    Science.gov (United States)

    Andreyeva, Tatiana; Luedicke, Joerg; Wang, Y. Claire

    2014-01-01

    Objective To provide state-level estimates of obesity-attributable costs of absenteeism among working adults in the U.S. Methods Nationally-representative data from the National Health and Nutrition Examination Survey (NHANES) for 1998–2008 and from the Behavioral Risk Factor Surveillance System (BRFSS) for 2012 are examined. The outcome is obesity-attributable workdays missed in the previous year due to health, and their costs to states. Results Obesity, but not overweight, is associated with a significant increase in workdays absent, from 1.1 to 1.7 extra days missed annually compared to normal weight employees. Obesity-attributable absenteeism among American workers costs the nation an estimated $8.65 billion per year. Conclusion Obesity imposes a considerable financial burden on states, accounting for 6.5%–12.6% of total absenteeism costs in the workplace. State legislature and employers should seek effective ways to reduce these costs. PMID:25376405

  1. Estimating aquifer properties from the water level response to Earth tides.

    Science.gov (United States)

    Cutillo, Paula A; Bredehoeft, John D

    2011-01-01

    Water level fluctuations induced by tidal strains can be analyzed to estimate the elastic properties, porosity, and transmissivity of the surrounding aquifer material. We review underutilized methods for estimating aquifer properties from the confined response to earth tides. The earth tide analyses are applied to an open well penetrating a confined carbonate aquifer. The resulting range of elastic and hydraulic aquifer properties are in general agreement with that determined by other investigators for the area of the well. The analyses indicate that passive monitoring data from wells completed in sufficiently stiff, low porosity formations can provide useful information on the properties of the surrounding formation. Journal compilation © 2010 National Ground Water Association. No claim to original US government works.

  2. Estimating the Prevalence of Potential Enteropathogenic Escherichia coli and Intimin Gene Diversity in a Human Community by Monitoring Sanitary Sewage

    Science.gov (United States)

    Yang, Kun; Pagaling, Eulyn

    2014-01-01

    Presently, the understanding of bacterial enteric diseases in the community and their virulence factors relies almost exclusively on clinical disease reporting and examination of clinical pathogen isolates. This study aimed to investigate the feasibility of an alternative approach that monitors potential enteropathogenic Escherichia coli (EPEC) and enterohemorrhagic E. coli (EHEC) prevalence and intimin gene (eae) diversity in a community by directly quantifying and characterizing target virulence genes in the sanitary sewage. The quantitative PCR (qPCR) quantification of the eae, stx1, and stx2 genes in sanitary sewage samples collected over a 13-month period detected eae in all 13 monthly sewage samples at significantly higher abundance (93 to 7,240 calibrator cell equivalents [CCE]/100 ml) than stx1 and stx2, which were detected sporadically. The prevalence level of potential EPEC in the sanitary sewage was estimated by calculating the ratio of eae to uidA, which averaged 1.0% (σ = 0.4%) over the 13-month period. Cloning and sequencing of the eae gene directly from the sewage samples covered the majority of the eae diversity in the sewage and detected 17 unique eae alleles belonging to 14 subtypes. Among them, eae-β2 was identified to be the most prevalent subtype in the sewage, with the highest detection frequency in the clone libraries (41.2%) and within the different sampling months (85.7%). Additionally, sewage and environmental E. coli isolates were also obtained and used to determine the detection frequencies of the virulence genes as well as eae genetic diversity for comparison. PMID:24141131

  3. Estimating Coextinction Risks from Epidemic Tree Death: Affiliate Lichen Communities among Diseased Host Tree Populations of Fraxinus excelsior

    Science.gov (United States)

    Jönsson, Mari T.; Thor, Göran

    2012-01-01

    At least 10% of the world’s tree species are threatened with extinction and pathogens are increasingly implicated in tree threats. Coextinction and threats to affiliates as a consequence of the loss or decline of their host trees is a poorly understood phenomenon. Ash dieback is an emerging infectious disease causing severe dieback of common ash Fraxinus excelsior throughout Europe. We utilized available empirical data on affiliate epiphytic lichen diversity (174 species and 17,800 observations) among 20 ash dieback infected host tree populations of F. excelsior on the island Gotland in the Baltic Sea, Sweden. From this, we used structured scenario projections scaled with empirical data of ash dieback disease to generate probabilistic models for estimating local and regional lichen coextinction risks. Average coextinction probabilities (Ā) were 0.38 (95% CI ±0.09) for lichens occurring on F. excelsior and 0.14 (95% CI ±0.03) when considering lichen persistence on all tree species. Ā was strongly linked to local disease incidence levels and generally increasing with lichen host specificity to F. excelsior and decreasing population size. Coextinctions reduced affiliate community viability, with significant local reductions in species richness and shifts in lichen species composition. Affiliates were projected to become locally extirpated before their hosts, illuminating the need to also consider host tree declines. Traditionally managed open wooded meadows had the highest incidence of ash dieback disease and significantly higher proportions of affiliate species projected to go extinct, compared with unmanaged closed forests and semi-open grazed sites. Most cothreatened species were not previously red-listed, which suggest that tree epidemics cause many unforeseen threats to species. Our analysis shows that epidemic tree deaths represent an insidious, mostly overlooked, threat to sessile affiliate communities in forested environments. Current conservation and

  4. Estimating synchronous demographic changes across populations using hABC and its application for a herpetological community from northeastern Brazil.

    Science.gov (United States)

    Gehara, Marcelo; Garda, Adrian A; Werneck, Fernanda P; Oliveira, Eliana F; da Fonseca, Emanuel M; Camurugi, Felipe; Magalhães, Felipe de M; Lanna, Flávia M; Sites, Jack W; Marques, Ricardo; Silveira-Filho, Ricardo; São Pedro, Vinícius A; Colli, Guarino R; Costa, Gabriel C; Burbrink, Frank T

    2017-09-01

    Many studies propose that Quaternary climatic cycles contracted and/or expanded the ranges of species and biomes. Strong expansion-contraction dynamics of biomes presume concerted demographic changes of associated fauna. The analysis of temporal concordance of demographic changes can be used to test the influence of Quaternary climate on diversification processes. Hierarchical approximate Bayesian computation (hABC) is a powerful and flexible approach that models genetic data from multiple species, and can be used to estimate the temporal concordance of demographic processes. Using available single-locus data, we can now perform large-scale analyses, both in terms of number of species and geographic scope. Here, we first compared the power of four alternative hABC models for a collection of single-locus data. We found that the model incorporating an a priori hypothesis about the timing of simultaneous demographic change had the best performance. Second, we applied the hABC models to a data set of seven squamate and four amphibian species occurring in the Seasonally Dry Tropical Forests (Caatinga) in northeastern Brazil, which, according to paleoclimatic evidence, experienced an increase in aridity during the Pleistocene. If this increase was important for the diversification of associated xeric-adapted species, simultaneous population expansions should be evident at the community level. We found a strong signal of synchronous population expansion in the Late Pleistocene, supporting the increase of the Caatinga during this time. This expansion likely enhanced the formation of communities adapted to high aridity and seasonality and caused regional extirpation of taxa adapted to wet forest. © 2017 John Wiley & Sons Ltd.

  5. Estimate of safe human exposure levels for lunar dust based on comparative benchmark dose modeling.

    Science.gov (United States)

    James, John T; Lam, Chiu-Wing; Santana, Patricia A; Scully, Robert R

    2013-04-01

    Brief exposures of Apollo astronauts to lunar dust occasionally elicited upper respiratory irritation; however, no limits were ever set for prolonged exposure to lunar dust. The United States and other space faring nations intend to return to the moon for extensive exploration within a few decades. In the meantime, habitats for that exploration, whether mobile or fixed, must be designed to limit human exposure to lunar dust to safe levels. Herein we estimate safe exposure limits for lunar dust collected during the Apollo 14 mission. We instilled three respirable-sized (∼2 μ mass median diameter) lunar dusts (two ground and one unground) and two standard dusts of widely different toxicities (quartz and TiO₂) into the respiratory system of rats. Rats in groups of six were given 0, 1, 2.5 or 7.5 mg of the test dust in a saline-Survanta® vehicle, and biochemical and cellular biomarkers of toxicity in lung lavage fluid were assayed 1 week and one month after instillation. By comparing the dose--response curves of sensitive biomarkers, we estimated safe exposure levels for astronauts and concluded that unground lunar dust and dust ground by two different methods were not toxicologically distinguishable. The safe exposure estimates were 1.3 ± 0.4 mg/m³ (jet-milled dust), 1.0 ± 0.5 mg/m³ (ball-milled dust) and 0.9 ± 0.3 mg/m³ (unground, natural dust). We estimate that 0.5-1 mg/m³ of lunar dust is safe for periodic human exposures during long stays in habitats on the lunar surface.

  6. Projected contributions of future wind farm development to community noise and annoyance levels in Ontario, Canada

    International Nuclear Information System (INIS)

    Whitfield Aslund, Melissa L.; Ollson, Christopher A.; Knopper, Loren D.

    2013-01-01

    Wind turbines produce sound during their operation; therefore, jurisdictions around the world have developed regulations regarding the placement of electricity generating wind farms with the intent of preventing unacceptable levels of ‘community noise’ in their vicinity. However, as survey results indicate that the relationship between wind turbine noise and annoyance may differ from noise-annoyance relationships for other common noise sources (e.g., rail, traffic), there are concerns that the application of general noise guidelines for wind turbines may lead to unacceptably high levels of annoyance in communities. In this study, previously published survey results that quantified wind turbine noise and self-reported annoyance were applied to the predicted noise levels (from turbines and transformers) for over 8000 receptors in the vicinity of 13 planned wind power developments in the province of Ontario, Canada. The results of this analysis indicate that the current wind turbine noise restrictions in Ontario will limit community exposure to wind turbine related noise such that levels of annoyance are unlikely to exceed previously established background levels of noise-related annoyance from other common noise sources. This provides valuable context that should be considered by policy-makers when evaluating the potential impacts of wind turbine noise on the community. -- highlights: •Wind turbine noise-annoyance relationship used to predict annoyance in Ontario. •Noise annoyance predicted to be <8% for non-participants <1 km from turbines. •Predicted levels of wind turbine noise annoyance similar to that from traffic noise. •Wind turbine noise annoyance not expected to exceed existing background levels

  7. Adaptation of copper community tolerance levels after biofilm transplantation in an urban river.

    Science.gov (United States)

    Fechner, Lise C; Versace, François; Gourlay-Francé, Catherine; Tusseau-Vuillemin, Marie-Hélène

    2012-01-15

    The Water Framework Directive requires the development of biological tools which can act as early-warning indicators of a sudden increase (accidental pollution) or decrease (recovery due to prevention) of the chemical status of aquatic systems. River biofilms, which respond quickly to modifications of environmental parameters and also play a key part in the functioning of aquatic ecosystems, are therefore good candidates to monitor an increase or a decrease of water pollution. In the present study, we investigated the biological response of biofilms transplanted either upstream (recovery) or downstream (deterioration of exposure levels) the urban area of Paris (France). Both modifications of Cu community tolerance levels and of global bacterial and eukaryotic community structure using automated ribosomal intergenic spacer analysis (ARISA) fingerprints were examined 15 and 30 days after the transplantation. Cu tolerance levels of the heterotrophic component of biofilms were assessed using a short-term toxicity test based on β-glucosidase (heterotrophic) activity. Cu tolerance increased for biofilms transplanted upstream to downstream Paris (5-fold increase on day 30) and conversely decreased for biofilms transplanted downstream to upstream (8-fold decrease on day 30). ARISA fingerprints revealed that bacterial and eukaryotic community structures of transplanted biofilms were closer to the structures of biofilms from the transplantation sites (or sites with similar contamination levels) than to biofilms from their sites of origin. Statistical analysis of the data confirmed that the key factor explaining biofilm Cu tolerance levels is the sampling site and not the site of origin. It also showed that Cu tolerance levels are related to the global urban contamination (both metals and nutrients). The study shows that biofilms adapt fast to modifications of their surroundings. In particular, community tolerance varies quickly and reflects the new exposure levels only 15

  8. Low-level radiation: a review of current estimates of hazards to human populations

    International Nuclear Information System (INIS)

    Myers, D.K.

    1977-12-01

    Mankind has always lived with low levels of ionizing radiation from natural sources. This ionizing radiation may induce cancers in irradiated persons and genetic defects in the descendents of irradiated persons. The internationally accepted estimates of risks suggest that the numbers of cancers and genetic defects induced in the general population by natural background radiation are not more than about 1% of the numbers of cancers and genetic defects normally present in the general population. The added risks to the general public due to any prospective nuclear power program are minute compared to those from background radiation. At the maximum permissible levels of radiation exposures for occupational workers, the predicted number of fatal cancers induced would lead to a reduction in average life-span from 73.0 years to about 72.7 years. Since occupational exposures are usually much less than maximum permissible levels, the risks are correspondingly reduced. These occupational risks are comparable to those in most other industries and occupations. Some areas of uncertainty in the accepted risk estimates are discussed in detail in this review. (author)

  9. Community-Level Interventions for Reconciling Conflicting Religious and Sexual Domains in Identity Incongruity.

    Science.gov (United States)

    Liboro, Renato M

    2015-08-01

    Two of the most unstable domains involved in identity formation, the religious and sexual domains, come into conflict when vulnerable populations of the lesbian, gay, bisexual and transgender community experience oppression from the indoctrination of religious beliefs that persecute their sexual orientation. This conflict, aptly termed identity incongruity in this article's discourse, results in a schism that adversely affects these vulnerable populations. This paper investigates the roles of religion, spirituality and available institutional solutions to propose customized, culturally adapted, contextually based and collaborative community-level interventions that would facilitate the reconciliation of the conflicting identity domains.

  10. Bacterial communities in Malagasy soils with differing levels of disturbance affecting botanical diversity.

    Directory of Open Access Journals (Sweden)

    Leah C Blasiak

    Full Text Available Madagascar is well-known for the exceptional biodiversity of its macro-flora and fauna, but the biodiversity of Malagasy microbial communities remains relatively unexplored. Understanding patterns of bacterial diversity in soil and their correlations with above-ground botanical diversity could influence conservation planning as well as sampling strategies to maximize access to bacterially derived natural products. We present the first detailed description of Malagasy soil bacterial communities from a targeted 16S rRNA gene survey of greater than 290,000 sequences generated using 454 pyrosequencing. Two sampling plots in each of three forest conservation areas were established to represent different levels of disturbance resulting from human impact through agriculture and selective exploitation of trees, as well as from natural impacts of cyclones. In parallel, we performed an in-depth characterization of the total vascular plant morphospecies richness within each plot. The plots representing different levels of disturbance within each forest did not differ significantly in bacterial diversity or richness. Changes in bacterial community composition were largest between forests rather than between different levels of impact within a forest. The largest difference in bacterial community composition with disturbance was observed at the Vohibe forest conservation area, and this difference was correlated with changes in both vascular plant richness and soil pH. These results provide the first survey of Malagasy soil bacterial diversity and establish a baseline of botanical diversity within important conservation areas.

  11. Bacterial Communities in Malagasy Soils with Differing Levels of Disturbance Affecting Botanical Diversity

    Science.gov (United States)

    Blasiak, Leah C.; Schmidt, Alex W.; Andriamiarinoro, Honoré; Mulaw, Temesgen; Rasolomampianina, Rado; Applequist, Wendy L.; Birkinshaw, Chris; Rejo-Fienena, Félicitée; Lowry, Porter P.; Schmidt, Thomas M.; Hill, Russell T.

    2014-01-01

    Madagascar is well-known for the exceptional biodiversity of its macro-flora and fauna, but the biodiversity of Malagasy microbial communities remains relatively unexplored. Understanding patterns of bacterial diversity in soil and their correlations with above-ground botanical diversity could influence conservation planning as well as sampling strategies to maximize access to bacterially derived natural products. We present the first detailed description of Malagasy soil bacterial communities from a targeted 16S rRNA gene survey of greater than 290,000 sequences generated using 454 pyrosequencing. Two sampling plots in each of three forest conservation areas were established to represent different levels of disturbance resulting from human impact through agriculture and selective exploitation of trees, as well as from natural impacts of cyclones. In parallel, we performed an in-depth characterization of the total vascular plant morphospecies richness within each plot. The plots representing different levels of disturbance within each forest did not differ significantly in bacterial diversity or richness. Changes in bacterial community composition were largest between forests rather than between different levels of impact within a forest. The largest difference in bacterial community composition with disturbance was observed at the Vohibe forest conservation area, and this difference was correlated with changes in both vascular plant richness and soil pH. These results provide the first survey of Malagasy soil bacterial diversity and establish a baseline of botanical diversity within important conservation areas. PMID:24465484

  12. Estimation of ultratrace level of uranium in sea water by laser fluorimeter

    International Nuclear Information System (INIS)

    Sahoo, S.K.; Tripathi, R.M.; Mohapatra, S.; Patra, A.C.; Lenka, P.; Puranik, V.D.

    2010-01-01

    Full text: Uranium, a naturally occurring primordial radionuclide, is imperative in the present Indian Nuclear Power Programme. Seawater may be an alternate source of uranium to meet the future demand. The total estimated quantity of uranium in seawater is around four and a half billion tonnes. Estimation of uranium in sea water is cumbersome and tedious because of ultra-trace concentration of uranium with high salt content and other interfering elements of sea water. Mainly chloride interferes in sea water analysis for estimation of nanogram level uranium because the ion at high concentration in sea water depresses uranyl complex fluorescence. At 500 ppm of chloride, the fluorescence response from a given uranium level is reduced by nearly 50%. Dilution method may be used in order to minimize the interference effect but it can't be implemented in this case as sea water contains 19000 ppm chloride but only 2-3 ppb of uranium. Thus, the separation of the interfering elements is necessary to analyze nanogram level of uranium in sea water. In the present study, an attempt has been made to analyze uranium in sea water by laser fluorimeter. Sample was treated with potassium persulphate to remove chloride ion and subsequent measurement was carried out after pH adjustment. The method was used for analysis of uranium content in 23 seawater samples ranged from 0.2 ± 0.1 μg/l to 2.2 ± 0.4 μg/l with a mean value of 1.01 ± 0.11 μg/l

  13. Estimates of state-level health-care expenditures associated with disability.

    Science.gov (United States)

    Anderson, Wayne L; Armour, Brian S; Finkelstein, Eric A; Wiener, Joshua M

    2010-01-01

    We estimated state-level disability-associated health-care expenditures (DAHE) for the U.S. adult population. We used a two-part model to estimate DAHE for the noninstitutionalized U.S. civilian adult population using data from the 2002-2003 Medical Expenditure Panel Survey and state-level data from the Behavioral Risk Factor Surveillance System. Administrative data for people in institutions were added to generate estimates for the total adult noninstitutionalized population. Individual-level data on total health-care expenditures along with demographic, socioeconomic, geographic, and payer characteristics were used in the models. The DAHE for all U.S. adults totaled $397.8 billion in 2006, with state expenditures ranging from $598 million in Wyoming to $40.1 billion in New York. Of the national total, the DAHE were $118.9 billion for the Medicare population, $161.1 billion for Medicaid recipients, and $117.8 billion for the privately insured and uninsured populations. For the total U.S. adult population, 26.7% of health-care expenditures were associated with disability, with proportions by state ranging from 16.9% in Hawaii to 32.8% in New York. This proportion varied greatly by payer, with 38.1% for Medicare expenditures, 68.7% for Medicaid expenditures, and 12.5% for nonpublic health-care expenditures associated with disability. DAHE vary greatly by state and are borne largely by the public sector, and particularly by Medicaid. Policy makers need to consider initiatives that will help reduce the prevalence of disabilities and disability-related health disparities, as well as improve the lives of people with disabilities.

  14. Estimating Radiological Doses to Predators Foraging in a Low-Level Radioactive Waste Management Area

    Energy Technology Data Exchange (ETDEWEB)

    L.Soholt; G.Gonzales; P.Fresquez; K.Bennett; E.Lopez

    2003-03-01

    Since 1957, Los Alamos National Laboratory has operated Area G as its low-level, solid radioactive waste management and disposal area. Although the waste management area is developed, plants, small mammals, and avian and mammalian predators still occupy the less disturbed and revegetated portions of the land. For almost a decade, we have monitored the concentrations of selected radionuclides in soils, plants, and small mammals at Area G. The radionuclides tritium, plutonium-238, and plutonium-239 are regularly found at levels above regional background in all three media. Based on radionuclide concentrations in mice collected from 1994 to 1999, we calculated doses to higher trophic levels (owl, hawk, kestrel, and coyote) that forage on the waste management area. These predators play important functions in the regional ecosystems and are an important part of local Native American traditional tales that identify the uniqueness of their culture. The estimated doses are compared to Department of Energy's interim limit of 0.1 rad/day for the protection of terrestrial wildlife. We used exposure parameters that were derived from the literature for each receptor, including Environmental Protection Agency's exposure factors handbook. Estimated doses to predators ranged from 9E-06 to 2E-04 rad/day, assuming that they forage entirely on the waste management area. These doses are greater than those calculated for predators foraging exclusively in reference areas, but are still well below the interim dose limit. We believe that these calculated doses represent upper-bound estimates of exposure for local predators because the larger predators forage over areas that are much greater than the 63-acre waste management area. Based on these results, we concluded that predators foraging on this area do not face a hazard from radiological exposure under current site conditions.

  15. Vitamin D Level and Risk of Community-Acquired Pneumonia and Sepsis

    Directory of Open Access Journals (Sweden)

    Anna J. Jovanovich

    2014-06-01

    Full Text Available Previous research has reported reduced serum 25-hydroxyvitamin D (25(OHD levels is associated with acute infectious illness. The relationship between vitamin D status, measured prior to acute infectious illness, with risk of community-acquired pneumonia (CAP and sepsis has not been examined. Community-living individuals hospitalized with CAP or sepsis were age-, sex-, race-, and season-matched with controls. ICD-9 codes identified CAP and sepsis; chest radiograph confirmed CAP. Serum 25(OHD levels were measured up to 15 months prior to hospitalization. Regression models adjusted for diabetes, renal disease, and peripheral vascular disease evaluated the association of 25(OHD levels with CAP or sepsis risk. A total of 132 CAP patients and controls were 60 ± 17 years, 71% female, and 86% Caucasian. The 25(OHD levels <37 nmol/L (adjusted odds ratio (OR 2.57, 95% CI 1.08–6.08 were strongly associated with increased odds of CAP hospitalization. A total of 422 sepsis patients and controls were 65 ± 14 years, 59% female, and 91% Caucasian. The 25(OHD levels <37 nmol/L (adjusted OR 1.75, 95% CI 1.11–2.77 were associated with increased odds of sepsis hospitalization. Vitamin D status was inversely associated with risk of CAP and sepsis hospitalization in a community-living adult population. Further clinical trials are needed to evaluate whether vitamin D supplementation can reduce risk of infections, including CAP and sepsis.

  16. Estimation and comparison of salivary calcium levels in healthy controls and patients with generalized gingivitis and chronic periodontitis

    Directory of Open Access Journals (Sweden)

    Madhura Vijay Rane

    2017-01-01

    Conclusion: Salivary calcium levels can be used as a biomarker to assess the periodontal disease progression. Early diagnosis of periodontal disease by estimation of calcium levels in saliva can help in prevention of gingivitis or periodontitis by various therapeutic measures.

  17. Models for estimation of service life of concrete barriers in low-level radioactive waste disposal

    International Nuclear Information System (INIS)

    Walton, J.C.; Plansky, L.E.; Smith, R.W.

    1990-09-01

    Concrete barriers will be used as intimate parts of systems for isolation of low level radioactive wastes subsequent to disposal. This work reviews mathematical models for estimating the degradation rate of concrete in typical service environments. The models considered cover sulfate attack, reinforcement corrosion, calcium hydroxide leaching, carbonation, freeze/thaw, and cracking. Additionally, fluid flow, mass transport, and geochemical properties of concrete are briefly reviewed. Example calculations included illustrate the types of predictions expected of the models. 79 refs., 24 figs., 6 tabs

  18. Estimating the Price Elasticity of Demand for Different Levels of Alcohol Consumption among Young Adults

    OpenAIRE

    Vinish Shrestha

    2015-01-01

    Understanding the effect of higher alcohol prices on alcohol demand according to one’s level of alcohol consumption is crucial while evaluating the effectiveness of using alcohol taxes as an alcohol-control medium. In this study, I estimate the differential responses to alcohol prices on alcohol demand for young adults by asking whether heavy drinkers are more responsive to higher alcohol prices than light and moderate drinkers. To conduct the analysis, I use the data from the National Long...

  19. Models for estimation of service life of concrete barriers in low-level radioactive waste disposal

    Energy Technology Data Exchange (ETDEWEB)

    Walton, J.C.; Plansky, L.E.; Smith, R.W. (EG and G Idaho, Inc., Idaho Falls, ID (USA))

    1990-09-01

    Concrete barriers will be used as intimate parts of systems for isolation of low level radioactive wastes subsequent to disposal. This work reviews mathematical models for estimating the degradation rate of concrete in typical service environments. The models considered cover sulfate attack, reinforcement corrosion, calcium hydroxide leaching, carbonation, freeze/thaw, and cracking. Additionally, fluid flow, mass transport, and geochemical properties of concrete are briefly reviewed. Example calculations included illustrate the types of predictions expected of the models. 79 refs., 24 figs., 6 tabs.

  20. Community-wide intervention and population-level physical activity: a 5-year cluster randomized trial.

    Science.gov (United States)

    Kamada, Masamitsu; Kitayuguchi, Jun; Abe, Takafumi; Taguri, Masataka; Inoue, Shigeru; Ishikawa, Yoshiki; Bauman, Adrian; Lee, I-Min; Miyachi, Motohiko; Kawachi, Ichiro

    2017-12-07

    Evidence from a limited number of short-term trials indicates the difficulty in achieving population-level improvements in physical activity (PA) through community-wide interventions (CWIs). We sought to evaluate the effectiveness of a 5-year CWI for promoting PA in middle-aged and older adults using a cluster randomized design. We randomized 12 communities in Unnan, Japan, to either intervention (9) or control (3). Additionally, intervention communities were randomly allocated to three subgroups by different PA types promoted. Randomly sampled residents aged 40-79 years responded to the baseline survey (n = 4414; 74%) and were followed at 1, 3 and 5 years (78-83% response rate). The intervention was a 5-year CWI using social marketing to promote PA. The primary outcome was a change in recommended levels of PA. Compared with control communities, adults achieving recommended levels of PA increased in intervention communities [adjusted change difference = 4.6 percentage points (95% confidence interval: 0.4, 8.8)]. The intervention was effective for promoting all types of recommended PAs, i.e. aerobic (walking, 6.4%), flexibility (6.1%) and muscle-strengthening activities (5.7%). However, a bundled approach, which attempted to promote all forms of PAs above simultaneously, was not effective (1.3-3.4%, P ≥ 0.138). Linear dose-response relationships between the CWI awareness and changes in PA were observed (P ≤ 0.02). Pain intensity decreased in shoulder (intervention and control) and lower back (intervention only) but there was little change difference in all musculoskeletal pain outcomes between the groups. The 5-year CWI using the focused social marketing strategy increased the population-level of PA. © The Author 2017. Published by Oxford University Press on behalf of the International Epidemiological Association

  1. Incorporating remote sensing-based ET estimates into the Community Land Model version 4.5

    Science.gov (United States)

    Wang, Dagang; Wang, Guiling; Parr, Dana T.; Liao, Weilin; Xia, Youlong; Fu, Congsheng

    2017-07-01

    Land surface models bear substantial biases in simulating surface water and energy budgets despite the continuous development and improvement of model parameterizations. To reduce model biases, Parr et al. (2015) proposed a method incorporating satellite-based evapotranspiration (ET) products into land surface models. Here we apply this bias correction method to the Community Land Model version 4.5 (CLM4.5) and test its performance over the conterminous US (CONUS). We first calibrate a relationship between the observational ET from the Global Land Evaporation Amsterdam Model (GLEAM) product and the model ET from CLM4.5, and assume that this relationship holds beyond the calibration period. During the validation or application period, a simulation using the default CLM4.5 (CLM) is conducted first, and its output is combined with the calibrated observational-vs.-model ET relationship to derive a corrected ET; an experiment (CLMET) is then conducted in which the model-generated ET is overwritten with the corrected ET. Using the observations of ET, runoff, and soil moisture content as benchmarks, we demonstrate that CLMET greatly improves the hydrological simulations over most of the CONUS, and the improvement is stronger in the eastern CONUS than the western CONUS and is strongest over the Southeast CONUS. For any specific region, the degree of the improvement depends on whether the relationship between observational and model ET remains time-invariant (a fundamental hypothesis of the Parr et al. (2015) method) and whether water is the limiting factor in places where ET is underestimated. While the bias correction method improves hydrological estimates without improving the physical parameterization of land surface models, results from this study do provide guidance for physically based model development effort.

  2. Incorporating remote sensing-based ET estimates into the Community Land Model version 4.5

    Directory of Open Access Journals (Sweden)

    D. Wang

    2017-07-01

    Full Text Available Land surface models bear substantial biases in simulating surface water and energy budgets despite the continuous development and improvement of model parameterizations. To reduce model biases, Parr et al. (2015 proposed a method incorporating satellite-based evapotranspiration (ET products into land surface models. Here we apply this bias correction method to the Community Land Model version 4.5 (CLM4.5 and test its performance over the conterminous US (CONUS. We first calibrate a relationship between the observational ET from the Global Land Evaporation Amsterdam Model (GLEAM product and the model ET from CLM4.5, and assume that this relationship holds beyond the calibration period. During the validation or application period, a simulation using the default CLM4.5 (CLM is conducted first, and its output is combined with the calibrated observational-vs.-model ET relationship to derive a corrected ET; an experiment (CLMET is then conducted in which the model-generated ET is overwritten with the corrected ET. Using the observations of ET, runoff, and soil moisture content as benchmarks, we demonstrate that CLMET greatly improves the hydrological simulations over most of the CONUS, and the improvement is stronger in the eastern CONUS than the western CONUS and is strongest over the Southeast CONUS. For any specific region, the degree of the improvement depends on whether the relationship between observational and model ET remains time-invariant (a fundamental hypothesis of the Parr et al. (2015 method and whether water is the limiting factor in places where ET is underestimated. While the bias correction method improves hydrological estimates without improving the physical parameterization of land surface models, results from this study do provide guidance for physically based model development effort.

  3. Estimating average glucose levels from glycated albumin in patients with end-stage renal disease.

    Science.gov (United States)

    Kim, Jwa-Kyung; Park, Jung Tak; Oh, Hyung Jung; Yoo, Dong Eun; Kim, Seung Jun; Han, Seung Hyeok; Kang, Shin-Wook; Choi, Kyu Hun; Yoo, Tae-Hyun

    2012-05-01

    In patients with diabetic end stage renal disease (ESRD), glycated albumin (GA) reflects recent glycemic control more accurately than glycated hemoglobin (HbA1c). We evaluated the relationship between GA and average blood glucose (AG) level and developed an estimating equation for translating GA values into easier-to-understand AG levels. A total of 185 ESRD patients, including 154 diabetic and 31 non-diabetic participants, were enrolled (108 hemodialysis, 77 peritoneal dialysis). Patients were asked to perform four-point daily self-monitoring of capillary blood glucose (SMBG) at least three consecutive days each week for four weeks. Serum levels of GA, HbA1c and other biochemical parameters were checked at baseline, as well as at 4 and 8 weeks. Approximately 74.3±7.0 SMBG readings were obtained from each participant and mean AG was 169.1±48.2 mg/dL. The correlation coefficient between serum GA and AG levels (r=0.70, paverage blood glucose level of 155-160 mg/dL could be matched to a GA value of 18-19% in patients with ESRD.

  4. Illness Mapping: a time and cost effective method to estimate healthcare data needed to establish community-based health insurance.

    Science.gov (United States)

    Binnendijk, Erika; Gautham, Meenakshi; Koren, Ruth; Dror, David M

    2012-10-09

    Most healthcare spending in developing countries is private out-of-pocket. One explanation for low penetration of health insurance is that poorer individuals doubt their ability to enforce insurance contracts. Community-based health insurance schemes (CBHI) are a solution, but launching CBHI requires obtaining accurate local data on morbidity, healthcare utilization and other details to inform package design and pricing. We developed the "Illness Mapping" method (IM) for data collection (faster and cheaper than household surveys). IM is a modification of two non-interactive consensus group methods (Delphi and Nominal Group Technique) to operate as interactive methods. We elicited estimates from "Experts" in the target community on morbidity and healthcare utilization. Interaction between facilitator and experts became essential to bridge literacy constraints and to reach consensus.The study was conducted in Gaya District, Bihar (India) during April-June 2010. The intervention included the IM and a household survey (HHS). IM included 18 women's and 17 men's groups. The HHS was conducted in 50 villages with1,000 randomly selected households (6,656 individuals). We found good agreement between the two methods on overall prevalence of illness (IM: 25.9% ±3.6; HHS: 31.4%) and on prevalence of acute (IM: 76.9%; HHS: 69.2%) and chronic illnesses (IM: 20.1%; HHS: 16.6%). We also found good agreement on incidence of deliveries (IM: 3.9% ±0.4; HHS: 3.9%), and on hospital deliveries (IM: 61.0%. ± 5.4; HHS: 51.4%). For hospitalizations, we obtained a lower estimate from the IM (1.1%) than from the HHS (2.6%). The IM required less time and less person-power than a household survey, which translate into reduced costs. We have shown that our Illness Mapping method can be carried out at lower financial and human cost for sourcing essential local data, at acceptably accurate levels. In view of the good fit of results obtained, we assume that the method could work elsewhere

  5. Illness Mapping: a time and cost effective method to estimate healthcare data needed to establish community-based health insurance

    Directory of Open Access Journals (Sweden)

    Binnendijk Erika

    2012-10-01

    Full Text Available Abstract Background Most healthcare spending in developing countries is private out-of-pocket. One explanation for low penetration of health insurance is that poorer individuals doubt their ability to enforce insurance contracts. Community-based health insurance schemes (CBHI are a solution, but launching CBHI requires obtaining accurate local data on morbidity, healthcare utilization and other details to inform package design and pricing. We developed the “Illness Mapping” method (IM for data collection (faster and cheaper than household surveys. Methods IM is a modification of two non-interactive consensus group methods (Delphi and Nominal Group Technique to operate as interactive methods. We elicited estimates from “Experts” in the target community on morbidity and healthcare utilization. Interaction between facilitator and experts became essential to bridge literacy constraints and to reach consensus. The study was conducted in Gaya District, Bihar (India during April-June 2010. The intervention included the IM and a household survey (HHS. IM included 18 women’s and 17 men’s groups. The HHS was conducted in 50 villages with1,000 randomly selected households (6,656 individuals. Results We found good agreement between the two methods on overall prevalence of illness (IM: 25.9% ±3.6; HHS: 31.4% and on prevalence of acute (IM: 76.9%; HHS: 69.2% and chronic illnesses (IM: 20.1%; HHS: 16.6%. We also found good agreement on incidence of deliveries (IM: 3.9% ±0.4; HHS: 3.9%, and on hospital deliveries (IM: 61.0%. ± 5.4; HHS: 51.4%. For hospitalizations, we obtained a lower estimate from the IM (1.1% than from the HHS (2.6%. The IM required less time and less person-power than a household survey, which translate into reduced costs. Conclusions We have shown that our Illness Mapping method can be carried out at lower financial and human cost for sourcing essential local data, at acceptably accurate levels. In view of the good fit of

  6. Wavelet denoising method; application to the flow rate estimation for water level control

    International Nuclear Information System (INIS)

    Park, Gee Young; Park, Jin Ho; Lee, Jung Han; Kim, Bong Soo; Seong, Poong Hyun

    2003-01-01

    The wavelet transform decomposes a signal into time- and frequency-domain signals and it is well known that a noise-corrupted signal could be reconstructed or estimated when a proper denoising method is involved in the wavelet transform. Among the wavelet denoising methods proposed up to now, the wavelets by Mallat and Zhong can reconstruct best the pure transient signal from a highly corrupted signal. But there has been no systematic way of discriminating the original signal from the noise in a dyadic wavelet transform. In this paper, a systematic method is proposed for noise discrimination, which could be implemented easily into a digital system. For demonstrating the potential role of the wavelet denoising method in the nuclear field, this method is applied to the steam or feedwater flow rate estimation of the secondary loop. And the configuration of the S/G water level control system is proposed for incorporating the wavelet denoising method in estimating the flow rate value at low operating powers

  7. Natural Length Scales of Ecological Systems: Applications at Community and Ecosystem Levels

    Directory of Open Access Journals (Sweden)

    Craig R. Johnson

    2009-06-01

    Full Text Available The characteristic, or natural, length scales of a spatially dynamic ecological landscape are the spatial scales at which the deterministic trends in the dynamic are most sharply in focus. Given recent development of techniques to determine the characteristic length scales (CLSs of real ecological systems, I explore the potential for using CLSs to address three important and vexing issues in applied ecology, viz. (i determining the optimum scales to monitor ecological systems, (ii interpreting change in ecological communities, and (iii ascertaining connectivity between species in complex ecologies. In summarizing the concept of characteristic length scales as system-level scaling thresholds, I emphasize that the primary CLS is, by definition, the optimum scale at which to monitor a system if the objective is to observe its deterministic dynamics at a system level. Using several different spatially explicit individual-based models, I then explore predictions of the underlying theory of CLSs in the context of interpreting change and ascertaining connectivity among species in ecological systems. Analysis of these models support predictions that systems with strongly fluctuating community structure, but an otherwise stable long-term dynamic defined by a stationary attractor, indicate an invariant length scale irrespective of community structure at the time of analysis, and irrespective of the species analyzed. In contrast, if changes in the underlying dynamic are forcibly induced, the shift in dynamics is reflected by a change in the primary length scale. Thus, consideration of the magnitude of the CLS through time enables distinguishing between circumstances where there are temporal changes in community structure but not in the long-term dynamic, from that where changes in community structure reflect some kind of fundamental shift in dynamics. In this context, CLSs emerge as a diagnostic tool to identify phase shifts to alternative stable states

  8. Extreme water level and wave estimation for nearshore of Ningde City

    Science.gov (United States)

    Jin, Y. D.; Wang, E. K.; Xu, G. Q.

    2017-08-01

    The high and low design water levels are calculated by observation tidal data in sea areas of Ningde offshore wind power project from September 2010 to August 2011, with the value 318 cm and -246 cm, respectively. The extreme high and low levels are also calculated using synchronous difference ratio method based on station data from 1973 to 2005 at Sansha station. The value is 431 cm and -378 cm respectively. The design wave elements are estimated using the wave data from Beishuang Station and Pingtan station. On this basis, the SWAN wave model is applied to calculating the design wave elements in the engineering sea areas. The results show that the southern sea area is mainly affected by the wave effect on ESE, and the northern is mainly affected by the E waves. This paper is helpful and useful for design and construction of offshore and coastal engineering.

  9. Estimation of neutron spectrum in the low-level gamma spectroscopy system using unfolding procedure

    Energy Technology Data Exchange (ETDEWEB)

    Knežević, D., E-mail: david.knezevic@df.uns.ac.rs; Jovančević, N.; Krmar, M. [University of Novi Sad, Faculty of Science, Department of Physics, Trg Dositeja Obradovića 3, 21000, Novi Sad (Serbia)

    2016-03-25

    The radiation resulting from neutron interactions with Ge nuclei in active volume of HPGe detectors is one of the main concerns in low-level gamma spectroscopy measurements [1,2]. It is usually not possible to measure directly spectrum of neutrons which strike detector. This paper explore the possibility of estimation of neutron spectrum using measured activities of certain Ge(n,γ) and Ge(n,n’) reactions (obtained from low-level gamma measurements), available ENDF cross section data and unfolding procedures. In this work HPGe detector with passive shield made from commercial low background lead was used for the measurement. The most important objective of this study was to reconstruct muon induced neutron spectrum created in the shield of the HPGe detector. MAXED [3] and GRAVEL [4] algorithms for neutron spectra unfolding were used. The results of those two algorithms were compared and we analyzed the sensitivity of the unfolding procedure to the various input parameters.

  10. The mixed effects of migration: community-level migration and birthweight in Mexico.

    Science.gov (United States)

    Hamilton, Erin R; Choi, Kate H

    2015-05-01

    Research on the relationship between migration and infant health in Mexico finds that migration has mixed impacts on the risk of low birthweight (LBW). Whereas the departure and absence of household and community members are harmful, remittances are beneficial. We extend this work by considering a different measure of infant health in addition to LBW: macrosomia (i.e., heavy birthweight), which is associated with infant, child, and maternal morbidities but has a different social risk profile from LBW. We link the 2008 and 2009 Mexican birth certificates with community data from the 2000 Mexican census to analyze the association between various dimensions of community-level migration (i.e., rates of out-migration, receipt of remittances, and return migration) and the risk of LBW and macrosomia. We examine this association using two sets of models which differ in the extent to which they account for endogeneity. We find that the health impacts of migration differ depending not only on the dimension of migration, but also on the measure of health, and that they are robust to potential sources of endogeneity. Whereas community remittances and return migration are associated with lower risk of LBW, they are associated with increased risk of macrosomia. By contrast, out-migration is associated with increased risk of LBW and lower risk of macrosomia. Our analysis of endogeneity suggests that bias resulting from unmeasured differences between communities with different levels of migration may result in an underestimate of the impacts of community migration on birthweight. Copyright © 2014 Elsevier Ltd. All rights reserved.

  11. Albumin levels and cause-specific mortality in community-dwelling older adults.

    Science.gov (United States)

    Wu, Chen-Yi; Hu, Hsiao-Yun; Huang, Nicole; Chou, Yi-Chang; Li, Chung-Pin; Chou, Yiing-Jenq

    2018-04-09

    To investigate the association between serum albumin levels and cause-specific mortality among community-dwelling older adults. This cohort study was based on data obtained from the government-sponsored Annual Geriatric Health Examination Program for the older adults in Taipei City between 2006 and 2010. The study sample consisted of 77,531 community-dwelling Taipei citizens (≥65 years old). Mortality was determined by matching the participants' medical records with national death files. Serum albumin levels were categorized into dwelling older adults had a mean albumin level of 4.3 g/dL, which significantly reduced by age. Compared to albumin levels ≥4.4 g/dL, mildly low albumin levels (4.2-4.3 g/dL) were associated with an increased mortality risk (hazard ratio [HR]: 1.16, 95% confidence interval [CI]: 1.05-1.28 for all-cause mortality), and albumin levels dwelling older adults, and mortality risk increased as the albumin level decreased. Copyright © 2017. Published by Elsevier Inc.

  12. Community pharmacists' burnout levels and related factors: an example from Turkey.

    Science.gov (United States)

    Calgan, Zeynep; Aslan, Dilek; Yegenoglu, Selen

    2011-02-01

    To determine community pharmacists' burnout levels and prevalences as well as factors associated with burnout. Study was conducted in Ankara, the capital of Turkey. In this cross-sectional study, 251 pharmacists were randomly selected from 1,504 community pharmacists registered in Ankara Chamber of Pharmacists. A questionnaire including questions related to pharmacists' individual and professional characteristics and Maslach Burnout Inventory was administered. The data was collected between February 27 and May 25, 2007. Three Maslach Burnout Inventory subscales (emotional exhaustion-EE, depersonalization-D, and personal accomplishment-PA) scores. Pharmacists' mean emotional exhaustion score was found to be 16.84 (SD: 6.25), depersonalization score was 4 (Range: 0-14), and personal accomplishment score was 22 (Range: 9-32). Of the pharmacists, 1.2% had high level of EE, .8% had high level of D, and 71.3% had high level of inefficacy. Age, marital status, work experience, work contentment, workload, time pressure, stress, and satisfaction with customers were found to be related with pharmacists' burnout levels. It can be useful to monitor pharmacists' burnout levels and prevalences periodically. Interventions on individual and organizational basis were needed to cope with burnout, respond to job demands, minimize the level of chronic stress, and increase work contentment and satisfaction.

  13. Reservoir characterisation by a binary level set method and adaptive multiscale estimation

    Energy Technology Data Exchange (ETDEWEB)

    Nielsen, Lars Kristian

    2006-01-15

    The main focus of this work is on estimation of the absolute permeability as a solution of an inverse problem. We have both considered a single-phase and a two-phase flow model. Two novel approaches have been introduced and tested numerical for solving the inverse problems. The first approach is a multi scale zonation technique which is treated in Paper A. The purpose of the work in this paper is to find a coarse scale solution based on production data from wells. In the suggested approach, the robustness of an already developed method, the adaptive multi scale estimation (AME), has been improved by utilising information from several candidate solutions generated by a stochastic optimizer. The new approach also suggests a way of combining a stochastic and a gradient search method, which in general is a problematic issue. The second approach is a piecewise constant level set approach and is applied in Paper B, C, D and E. Paper B considers the stationary single-phase problem, while Paper C, D and E use a two-phase flow model. In the two-phase flow problem we have utilised information from both production data in wells and spatially distributed data gathered from seismic surveys. Due to the higher content of information provided by the spatially distributed data, we search solutions on a slightly finer scale than one typically does with only production data included. The applied level set method is suitable for reconstruction of fields with a supposed known facies-type of solution. That is, the solution should be close to piecewise constant. This information is utilised through a strong restriction of the number of constant levels in the estimate. On the other hand, the flexibility in the geometries of the zones is much larger for this method than in a typical zonation approach, for example the multi scale approach applied in Paper A. In all these papers, the numerical studies are done on synthetic data sets. An advantage of synthetic data studies is that the true

  14. Elevated ground-level O3 negatively influences paddy methanogenic archaeal community

    Science.gov (United States)

    Feng, Youzhi; Lin, Xiangui; Yu, Yongchang; Zhang, Huayong; Chu, Haiyan; Zhu, Jianguo

    2013-01-01

    The current knowledge regarding the effect of global climate change on rice-paddy methane (CH4) emissions is incomplete, partly because information is limited concerning the mechanism of the microbial response to elevated ground-level ozone (O3). A field experiment was conducted in the China Ozone Free-Air Concentration Enrichment facility in a rice–wheat rotation system to investigate the responses of methanogenic archaeal communities to elevated ground-level O3 by culture-independent and -reliant approaches. We found that elevated ground-level O3 inhibited methanogenic activity and influenced the composition of paddy methanogenic communities, reducing the abundance and diversity of paddy methanogens by adversely affecting dominant groups, such as aceticlastic Methanosaeta, especially at the rice tillering stage. Our results indicated that continuously elevated ground-level O3 would negatively influence paddy methanogenic archaeal communities and its critical ecological function. These findings will contribute to a comprehensive understanding of the responses and feedbacks of paddy ecosystems to global climate change. PMID:24217205

  15. Assessing the impact of sea-level rise on a vulnerable coastal community in Accra, Ghana

    Directory of Open Access Journals (Sweden)

    Kwasi Appeaning Addo

    2013-08-01

    Full Text Available Climate change and its associated sea-level rise are expected to significantly affect vulnerable coastal communities. Although the extent of the impact will be localised, its assessment will adopt a monitoring approach that applies globally. The topography of the beach, the type of geological material and the level of human intervention will determine the extent of the area to be flooded and the rate at which the shoreline will move inland. Gleefe, a coastal community in Ghana, has experienced frequent flooding in recent times due to the increasing occurrence of storm surge and sea-level rise. This study used available geospatial data and field measurements to determine how the beach topography has contributed to the incidence of flooding at Gleefe. The topography is generally low-lying. Sections of the beach have elevations of around 1 m, which allows seawater to move inland during very high tide. Accelerated sea-level rise as predicted by the Intergovernmental Panel on Climate Change (IPCC will destroy homes of the inhabitants and inundate the Densu wetlands behind the beach. Destruction of infrastructure will render the inhabitants homeless, whilst flooding of the wetlands will destroy the habitats of migratory birds and some endangered wildlife species such as marine turtle. Effective adaptation measures should be adopted to protect this very important coastal environment, the ecology of the wetlands and the livelihoods of the community dwellers.

  16. Oxytocin Levels in Community-Collected Saliva Samples Transported by Dry Versus Wet Ice.

    Science.gov (United States)

    Howland, Lois C; Pickler, Rita H; Sullenbarger, Brent A; Connelly, Cynthia D

    2018-01-01

    Oxytocin (OT), a neuropeptide produced primarily in the hypothalamus, is associated with both critical physiological and psychological processes, particularly stress and feelings of affiliation. Increasingly, researchers are seeking ways to reliably incorporate OT as an outcome biomarker in clinical research. Previously, OT levels were measured in plasma or urine. Recently, researchers have measured this biomarker in saliva, particularly when conducting research in clinical and community settings. In spite of increased interest in the use of salivary OT in clinical research, procedures for handling, transport, and analysis of specimens vary. It is not known if significant OT protein degradation occurs if samples are initially transported on wet ice before being frozen. The aim of this study is to evaluate the effect of transport media (wet vs. dry ice) on OT levels derived from saliva collected from 12 postpartum women residing in the community. Saliva collected from each participant was divided between two microcentrifuge tubes (MIDSCI, Valley Park, MO), one placed on wet ice and one on dry ice for transport from the participant's home to the laboratory freezer. Time from collection to storage freezer was recorded. Laboratory personnel, blinded to method of transport, batch processed the samples. No significant differences in OT levels were found by transport method. Despite large interperson variations in OT levels, there were negligible intraperson variations. Although further research is required to identify factors (including transport time) related to interperson variation, this study supports the use of wet ice as a means of transporting salivary OT specimens in community-based research.

  17. Interactions between accumulated copper, bacterial community structure and histamine levels in crayfish meat during storage.

    Science.gov (United States)

    Soedarini, Bernadeta; van Gestel, Cornelis A M; van Straalen, Nico M; Widianarko, Budi; Röling, Wilfred F M

    2014-08-01

    Pollution in aquaculture areas may negatively impact edible species and threaten seafood quality and safety. The aim of this study was to determine the interaction between copper and bacteria in the aquatic habitat and their impact upon crustaceans. Marbled crayfish was chosen as a model of aquatic crustaceans and the influence of metal contamination on bacterial community structure in water used to culture crayfish and in crayfish themselves was investigated. Histamine, an allergen commonly formed by certain groups of bacteria in crustacean edible tissue during storage, was also determined. Copper exposure increased its concentration in crayfish meat by 17.4%, but the copper concentration remained within acceptable food safety limits. Elevated copper levels affected the bacterial community both in the water used to cultivate crayfish and in the marbled crayfish themselves. Cluster analysis of 16S rRNA-gene based microbial community fingerprints revealed that copper impacted the bacterial community in the water and in the crayfish meat. However, copper exposure reduced the formation of histamine in crayfish meat during storage by 66.3%. Copper from the habitat appears to reduce histamine accumulation in crayfish meat during storage by affecting the bacterial community structure of the cultivation water and most likely also in the intestine of the crayfish. From a food safety point of view, copper treatment during the aqua culturing of crustaceans has a positive impact on the postharvest stage. © 2013 Society of Chemical Industry.

  18. Assessment of health community at the level of Health center Rakovica: Goals and opportunities

    Directory of Open Access Journals (Sweden)

    Šćepanović Aleksandar

    2017-01-01

    Full Text Available Assessment of the health status of the population is the foundation for troubleshooting health of the community. For this first step in solving the problems of health need to have adequate data. The basis for the registration of medical information is medical documentation. The aim is to assess the role and place of assessment of the health status of the community according to the literature in this field. We analyzed the available literature in the field of social medicine and health statistics, enlightened assessment of health in the community. The data necessary for determining the state of health can be related to many characteristics. The data can be accessed: review of available medical records and life statistics. Data analysis is performed with respect to the individual, family, group or the entire community. Based on the analysis and evaluation of health status can begin activities in the planning of preventive measures that should be implemented. To evaluate prevention plan is necessary to select and collect the appropriate data for the evaluation. The analysis and evaluation of individuals involved in cooperation with a team of health care health center for the level of Rakovica. Based on the good judgment of health condition can make appropriate plans of action to protect the health of the community.

  19. Constructing a validated scale to measure community-level abortion stigma in Mexico.

    Science.gov (United States)

    Sorhaindo, Annik M; Karver, Tahilin S; Karver, Jonathan G; Garcia, Sandra G

    2016-05-01

    In Mexico, abortion stigma in the general population is largely unexplored. We developed a scale to measure abortion stigma at the community level, examine its prevalence and explore factors associated with abortion stigma in a nationally representative sample. Following intensive qualitative work to identify dimensions of the stigma construct, we developed a comprehensive list of statements that were cognitively tested and reduced to 33 to form a scale. We piloted the scale in a nationally and subregionally representative household public opinion survey administered to 5600 Mexican residents. Factor analysis tested the internal consistency and reliability of five previously hypothesized dimensions of abortion stigma: secrecy, religion, autonomy, discrimination and guilt/shame. Under the assumption that these dimensions were independent, confirmatory factor analysis indicated that each of these dimensions functioned as independent subscales. However, to test this assumption, we conducted exploratory factor analysis that revealed a strong codependence between discrimination, guilt/shame and religion statements, resulting in a 23-item four-factor model of abortion stigma and the elimination of the guilt/shame dimension. Both methods revealed a full scale and subscales with Cronbach's alphas between 0.80 and 0.90. Regression analyses suggested that older, less educated individuals living in the north of Mexico report higher levels of stigma, especially related to discrimination and religion. This community-level abortion stigma scale is the first to be developed and tested in Mexico. This tool may be used in Mexico and other similar country settings to document the prevalence of community-level abortion stigma, identify associated factors and test interventions aimed at reducing abortion stigma. Abortion stigma prevents women from accessing safe abortion services. Measuring community-level abortion stigma is key to documenting its pervasiveness, testing interventions

  20. Estimation of radioactivity levels associated with a 90Sr dirty bomb event

    Science.gov (United States)

    Reshetin, Vladimir P.

    This paper reports the results of using a Gaussian model to estimate the maximum inhalation doses (mSv), the spatial extent (km 2) and radioactivity (Bq) of contamination within an urban area after the initial dispersion of 90Sr radiological dispersion device (dirty bomb) in a terrorist event. For modeling purposes, aerosol dispersion of approximately 7 g of 90Sr equaling 3.7×10 13 Bq (1000 Ci) with effective release heights of 50 and 100 m above street level is estimated under varying local-scale atmospheric conditions. Maximum inhalation doses at the level of ⩾1, ⩾5, ⩾10, ⩾50 mSv are used as evaluative criteria to assess probable consequences. The intentional release of a relatively small amount of 90Sr using a conventional explosive has the potential to cause internal exposure to beta-radiation with relatively high maximum inhalation doses achieving hundreds of mSv, but the spatial extent of the area within which high exposures might occur is very small with most of the population receiving maximum inhalation doses between 1 and 10 mSv. The extent of radiation contamination (area and activity) is dependent on 90Sr particle size, the height of release, and local weather conditions.

  1. Consequences of alternative tree-level biomass estimation procedures on U.S. forest carbon stock estimates

    Science.gov (United States)

    Grant M. Domke; Christopher W. Woodall; James E. Smith; James A. Westfall; Ronald E. McRoberts

    2012-01-01

    Forest ecosystems are the largest terrestrial carbon sink on earth and their management has been recognized as a relatively cost-effective strategy for offsetting greenhouse gas emissions. Forest carbon stocks in the U.S. are estimated using data from the USDA Forest Service, Forest Inventory and Analysis (FIA) program. In an attempt to balance accuracy with...

  2. Promoting social responsibility for health: health impact assessment and healthy public policy at the community level.

    Science.gov (United States)

    Mittelmark, M B

    2001-09-01

    The 1997 Jakarta Declaration on Health Promotion into the 21st Century called for new responses to address the emerging threats to health. The declaration placed a high priority on promoting social responsibility for health, and it identified equity-focused health impact assessment as a high priority for action. This theme was among the foci at the 2000 Fifth Global Conference on Health Promotion held in Mexico. This paper, which is an abbreviation of a technical report prepared for the Mexico conference, advances arguments for focusing on health impact assessment at the local level. Health impact assessment identifies negative health impacts that call for policy responses, and identifies and encourages practices and policies that promote health. Health impact assessment may be highly technical and require sophisticated technology and expertise. But it can also be a simple, highly practical process, accessible to ordinary people, and one that helps a community come to grips with local circumstances that need changing for better health. To illustrate the possibilities, this paper presents a case study, the People Assessing Their Health (PATH) project from Eastern Nova Scotia, Canada. It places ordinary citizens, rather than community elites, at the very heart of local decision-making. Evidence from PATH demonstrates that low technology health impact assessment, done by and for local people, can shift thinking beyond the illness problems of individuals. It can bring into consideration, instead, how programmes and policies support or weaken community health, and illuminate a community's capacity to improve local circumstances for better health. This stands in contrast to evidence that highly technological approaches to community-level health impact assessment can be self-defeating. Further development of simple, people-centred, low technology approaches to health impact assessment at the local level is called for.

  3. Using communities of practice towards the next level of knowledge-management maturity

    Directory of Open Access Journals (Sweden)

    Lameshnee Chetty

    2012-07-01

    Full Text Available Background: Effective communities of practice undoubtedly impact organisations’ knowledgemanagement and contribute towards building a learning-organisation culture. Communitiesof practice represent an environment conducive to learning and for exchanging ideas, andthey are a formal learning forum. However, the level of organisational learning to whichcommunities of practice contribute is difficult to measure.Objectives: The research was conducted to analyse the impact of communities of practiceon building a learning organisation. The organisational system, culture and people offerthe key towards leveraging knowledge as a strategic resource in a learning organisation.The awareness of the organisation concerning knowledge management was measured on areplicated knowledge-management maturity model.Method: The organisational knowledge base was analysed prior to the implementation of thecommunities of practice and was compared to the situation three years later. The research wasbased on experiential learning cycles that consisted of five consequential but perpetual stages,namely reflect, plan, act, observe and reflect again.Results: The results indicated that communities of practice were instrumental in leveraging theorganisation to the next level in the knowledge-management maturity model. A collaborationframework was developed for each business unit to work towards a common goal byharnessing the knowledge that was shared.Conclusion: Although a positive impact by communities of practice is visible, an instrumentfor the measurement of intellectual capital is necessary. It is recommended that the monetaryvalue of knowledge as an asset is determined so that the value of the potential intellectualcapital can be measured.

  4. Elevated atmospheric CO2 levels affect community structure of rice root-associated bacteria

    Directory of Open Access Journals (Sweden)

    Kiwamu eMinamisawa

    2015-02-01

    Full Text Available A number of studies have shown that elevated atmospheric CO2 ([CO2] affects rice yields and grain quality. However, the responses of root-associated bacteria to [CO2] elevation have not been characterized in a large-scale field study. We conducted a free-air CO2 enrichment (FACE experiment (ambient + 200 μmol⋅mol−1 using three rice cultivars (Akita 63, Takanari, and Koshihikari and two experimental lines of Koshihikari (chromosome segment substitution and near-isogenic lines to determine the effects of [CO2] elevation on the community structure of rice root-associated bacteria. Microbial DNA was extracted from rice roots at the panicle formation stage and analyzed by pyrosequencing the bacterial 16S rRNA gene to characterize the members of the bacterial community. Principal coordinate analysis of a weighted UniFrac distance matrix revealed that the community structure was clearly affected by elevated [CO2]. The predominant community members at class level were Alpha-, Beta-, and Gamma-proteobacteria in the control (ambient and FACE plots. The relative abundance of Methylocystaceae, the major methane-oxidizing bacteria in rice roots, tended to decrease with increasing [CO2] levels. Quantitative PCR revealed a decreased copy number of the methane monooxygenase (pmoA gene and increased methyl coenzyme M reductase (mcrA in elevated [CO2]. These results suggest elevated [CO2] suppresses methane oxidation and promotes methanogenesis in rice roots; this process affects the carbon cycle in rice paddy fields.

  5. Desire for, and uptake of HIV tests by Ghanaian women: the relevance of community level stigma.

    Science.gov (United States)

    Koku, Emmanuel F

    2011-04-01

    Voluntary counseling and testing (VCT) has been recognized as the crux of HIV surveillance, prevention and treatment programs. Since 2000, Ghana government has launched a number of HIV prevention and treatment programs intended to increase VCT services. Despite these efforts, uptake of testing is still low, though many women reported interest in getting tested. The disconnect between intention and action is attributable to several factors, including HIV-related stigma. The study used data from the 2003 Ghana Demographic and Health Survey and fitted complementary log-log models to regress women's desire for and uptake of an HIV test on levels of personal and community stigma. Consistent with findings from previous research, the study revealed significant associations between a number of socio-demographic and socio-cognitive variables and the desire for and uptake of an HIV test by Ghanaian women. Most significantly, the study showed that widespread stigma in the community exert greater negative effects on individuals who endorse stigmatizing beliefs and predispositions, compared to their peers with more favorable attitudes. Since community level educational and risk reduction programs have demonstrable influences on reducing HIV stigma, it is imperative that the Ghana government's ongoing anti-stigma campaigns and other HIV prevention programs take cognizance of the role of community stigma in influencing HIV testing.

  6. Community-Level Inequalities in Concussion Education of Youth Football Coaches.

    Science.gov (United States)

    Kroshus, Emily; Kerr, Zachary Y; Lee, Joseph G L

    2017-04-01

    USA Football has made the Heads Up Football (HUF) concussion education program available for coaches of youth football players. Existing evidence about the effectiveness of the HUF coach education program is equivocal. For HUF and other programs, there is growing concern that even effective interventions can increase inequalities if there is different uptake or impact by SES or other demographic factors. Understanding how adoption is patterned along these lines is important for understanding equity issues in youth football. This study tested the hypothesis that there will be lower adoption of HUF among coaches of youth football players in lower-SES communities. The authors conducted a cross-sectional study of the association between community-level characteristics and number of USA Football youth league coaches who have completed HUF. Data were collected in 2014 and analyzed in 2015-2016. Implementation of the HUF program was patterned by community-level socioeconomic characteristics. Leagues located in communities with a higher percentage of families with children aged football, it is important to consider not just the effectiveness of these interventions, but also whether they reduce or exacerbate health inequities. These results suggest that relying on voluntary adoption of coach education may result in inequitable implementation. Further study is required to identify and remedy organizational and contextual barriers to implementation of coach education in youth sport. Copyright © 2017 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  7. Assessing bias in community-based prevalence estimates: towards an unduplicated count of problem drinkers and drug users.

    Science.gov (United States)

    Weisner, C; Schmidt, L; Tam, T

    1995-03-01

    General population survey estimates of the overall prevalence of problem drinking and drug use in a community are biased by the exclusion of non-household populations. Estimates based on compiling prevalences in community institutions may also be biased due to over-counting of users of more than one institution. This paper examines prevalence estimates derived from probability samples of problem drinkers in the general population and within alcohol treatment, drug treatment, mental health, criminal justice and welfare agencies in a single US county. Data sets are merged and weighted to reflect a community sample of institutions, and a 17% subset of cases is identified within the institutional samples that are not living in housing units typically included in general population sampling frames. The difference in prevalences of problem drinking in the household and non-household populations is found to be large: 11% and 48%, respectively. Even greater differences are found between estimates of unprescribed weekly drug use (6% and 47%, respectively) and combined problem drinking and weekly drug use (2% and 27%, respectively). This suggests that confining samples to the household population can systematically under-represent the prevalence of problem drinking and drug use. A second source of bias in prevalence is characteristic of studies using records from multiple institutions. When duplication of service use in the five agency samples is considered, it becomes apparent that prevalence may be biased upward due to over-counting of multiple service users.

  8. Flood Finder: Mobile-based automated water level estimation and mapping during floods

    International Nuclear Information System (INIS)

    Pongsiriyaporn, B; Jariyavajee, C; Laoharawee, N; Narkthong, N; Pitichat, T; Goldin, S E

    2014-01-01

    Every year, Southeast Asia faces numerous flooding disasters, resulting in very high human and economic loss. Responding to a sudden flood is difficult due to the lack of accurate and up-to- date information about the incoming water status. We have developed a mobile application called Flood Finder to solve this problem. Flood Finder allows smartphone users to measure, share and search for water level information at specified locations. The application uses image processing to compute the water level from a photo taken by users. The photo must be of a known reference object with a standard size. These water levels are more reliable and consistent than human estimates since they are derived from an algorithmic measuring function. Flood Finder uploads water level readings to the server, where they can be searched and mapped by other users via the mobile phone app or standard browsers. Given the widespread availability of smartphones in Asia, Flood Finder can provide more accurate and up-to-date information for better preparation for a flood disaster as well as life safety and property protection

  9. Estimating Optimum Compaction Level for Dense-Graded Hot-Mix Asphalt Mixtures

    Directory of Open Access Journals (Sweden)

    Khalid Al Shamsi

    2010-06-01

    Full Text Available A critical step in the design of asphalt mixtures is laboratory compaction. Laboratory compaction should reflect field compaction and should produce mixtures that are economical and possess high structural stability. During the compaction process, asphalt mixtures are subjected to certain amount of compaction energy in order to achieve the required density. The Superpave volumetric mix design is based on compacting HMA mixtures to a specified compaction level described by the number of gyrations from the Superpave gyratory compactor (SGC. This level is termed Ndes and represents the required energy (based on the traffic level expected to densify the mixture to a 4% air voids level. This paper re-examines the Superpave compaction requirements through extensive laboratory investigation of the response of a number of asphalt mixtures to the applied compaction energy. It also presents an alternative method to estimate the number of gyrations at which a mixture first reaches an optimum aggregate interlock and hence prevents overcompaction problems that might result in unstable aggregate structures or dry asphalt mixtures. A total of 12 HMA mixtures were studied. During compaction, force measurement was made using the pressure distribution analyzer (PDA. The compaction characteristics of the mixtures were analyzed using data from the PDA and the traditional Superpave Gyratory Compactor (SGC results.

  10. The effect of salinity levels on the structure of zooplankton communities

    Directory of Open Access Journals (Sweden)

    Paturej Ewa

    2015-01-01

    Full Text Available The objective of this study was to determine the qualitative and quantitative structure of zooplankton communities in the Vistula Lagoon and to establish whether zooplankton abundance and biodiversity are affected by salinity levels. Samples for biological analyses were collected in the summer (June-September of 2007-2011 at eleven sampling sites. Statistical analysis revealed a significant correlation between salinity levels and the number of species (r= -0.2020, abundance (r= 0.1967 and biomass (r= 0.3139 of zooplankton. No significant correlations were found between salinity and the biodiversity of zooplankton. The results of the study suggest that salinity affects the abundance and structure, but not the diversity of zooplankton communities in the Vistula Lagoon.

  11. Estimated community costs of an outbreak of campylobacteriosis resulting from contamination of a public water supply in Darfield, New Zealand.

    Science.gov (United States)

    Sheerin, Ian; Bartholomew, Nadia; Brunton, Cheryl

    2014-03-28

    To estimate the economic costs to the community of an outbreak of campylobacteriosis in August 2012 resulting from contamination of a public water supply in Darfield, New Zealand. Probable incidence of waterborne disease was estimated. Reported cases were scrutinised to identify symptoms, duration, hospital admissions and those in the paid workforce. Extra public health and local authority costs were calculated. Estimated time off work was multiplied by the average wage to obtain a conservative estimate of lost production. Sensitivity analysis was used to estimate unreported cases and their associated costs. There were 138 cases of confirmed or probable campylobacter, of whom 46 sought a medical consultation. Taking into account the usual pyramid of non-notified cases, estimates of the population infected range between approximately 828 and 1987. The dominant societal cost is lost production from time off paid work. Forty-six per cent were in the paid workforce, indicating a total estimated economic cost of at least $714,527 but it could have been as high as $1.26 million, depending on estimates of unreported cases. The likely cause of the Darfield outbreak was faecal contamination of the water supply, which with a multi-barrier approach would have been entirely preventable. The results provide economic evidence to support upgrading of water supplies to provide safe water and prevent waterborne disease.

  12. GPS Vertical Land Motion Corrections to Sea-Level Rise Estimates in the Pacific Northwest

    Science.gov (United States)

    Montillet, J.-P.; Melbourne, T. I.; Szeliga, W. M.

    2018-02-01

    We construct coastal Pacific Northwest profiles of vertical land motion (VLM) known to bias long-term tide-gauge measurements of sea-level rise (SLR) and use them to estimate absolute sea-level rise with respect to Earth's center of mass. Multidecade GPS measurements at 47 coastal stations along the Cascadia subduction zone show VLM varies regionally but smoothly along the Pacific coast and inland Puget Sound with rates ranging from + 4.9 to -1.2 mm/yr. Puget Sound VLM is characterized by uniform subsidence at relatively slow rates of -0.1 to -0.3 mm/yr. Uplift rates of 4.5 mm/yr persist along the western Olympic Peninsula of northwestern Washington State and decrease southward becoming nearly 0 mm/yr south of central coastal Washington through Cape Blanco, Oregon. South of Cape Blanco, uplift increases to 1-2 mm/yr, peaks at 4 mm/yr near Crescent City, California, and returns to zero at Cape Mendocino, California. Using various stochastic noise models, we estimate long-term (˜50 -100 yr) relative sea-level rise rates at 18 coastal Cascadia tide gauges and correct them for VLM. Uncorrected SLR rates are scattered, ranging between -2 mm/yr and + 5 mm/yr with mean 0.52 ± 1.59 mm/yr, whereas correcting for VLM increases the mean value to 1.99 mm/yr and reduces the uncertainty to ± 1.18 mm/yr, commensurate with, but approximately 17% higher than, twentieth century global mean.

  13. Level of Educational Objectives Achievement in Health and Community Medicine Internship Course; Interns Viewpoint

    Directory of Open Access Journals (Sweden)

    Sajjadi F.

    2016-02-01

    Full Text Available Aims: Nowadays, the community oriented medicine education model has been mainly noticed. The aim of this study was to survey the interns about achievement to the educational goals confirmed by Health Ministry in health internship and community medicine courses.    Instrument & Methods: In the descriptive cross-sectional study, 56 health internship and community medicine students of one of the military universities of medical sciences in Tehran were studied in 2014 and 2015. The subjects were selected via available sampling method. Data was collected by a questionnaire based on the educational goals confirmed by Health Ministry. Data was analyzed by SPSS 19 software using descriptive indices and step-by-step regression test. Findings: 70, 68, and 60% of the students agreed to knowledge earning, achieving an attitude, and new skill earning, respectively. The highest knowledge earning levels were in health care factors (72% and the method to monitor and assess the state health program (72% and the lowest was in overall support (56%. The highest level of achieving an attitude was in family physician functioning (76% and the lowest levels were in overall support (44% and social factors effective on health (44%. There were significant correlations between knowledge earning (p=0.016 and achieving an attitude (p=0.032 and the scored given to the theoretical issues. In addition, there was a significant correlation between skill earning and the score given to the personal exercises (p=0.015.   Conclusion: The levels of knowledge earning, achieving an attitude, and skill earning in health internship and community medicine courses were unfavorable, especially in some goals. 

  14. Utilization of Kitchen Waste inside Green House Chamber: A Community Level Biogas Programme

    OpenAIRE

    Ravi P. Agrahari

    2013-01-01

    The present study was undertaken with the objective of evaluating kitchen waste as an alternative organic material for biogas production in community level biogas plant. The field study was carried out for one month (January 19, 2012– February 17, 2012) at Centre for Energy Studies, IIT Delhi, New Delhi, India. This study involves the uses of greenhouse canopy to increase the temperature for the production of biogas in winter period. In continuation, a semi-continuous study was conducted ...

  15. Livestock Development Based on Local Resources to Decreasing of Dependency Level and Improve of Community Economics

    OpenAIRE

    Hartoko, Hartoko

    2001-01-01

    To decrease the level of dependency on import goods, it is necessary to develop local based animal husbandry. This action has an important meaning in order to improve community economics in Indonesia.  Some ideas to motivate the development of the local based animal husbandry, are: first, mapping of the local resources, including specific superior local animals. Second, to support the continuity of feedstuffs production. Third, germ plasm / genuine animal conservation. Fourth, publication  of...

  16. A three-year national follow-up study on the development of community-level cancer rehabilitation in Denmark

    DEFF Research Database (Denmark)

    Kristiansen, Maria; Adamsen, Lis; Piil, Karin

    2017-01-01

    statistics and content analysis. RESULTS: A total of 93 municipalities responded (95% response rate) and the services offered primarily comprised group physical activity, dietary advice, smoking cessation and individual counselling on physical activity. The number of patients enrolled was below the estimated......AIMS: Scandinavian cancer care policies emphasise community-level rehabilitation services, but little is known about changes in service provision over time. This follow-up study explores development in these services in Danish municipalities, focusing on availability, utilisation and organisation...... of services, including existing opportunities and challenges. METHODS: A national survey among all 98 Danish municipalities was conducted in 2013 (baseline) and repeated in 2016 (follow-up). The electronic questionnaire comprised closed- and open-ended questions. Data were analysed using descriptive...

  17. Mapping heatwave health risk at the community level for public health action.

    Science.gov (United States)

    Buscail, Camille; Upegui, Erika; Viel, Jean-François

    2012-09-13

    Climate change poses unprecedented challenges, ranging from global and local policy challenges to personal and social action. Heat-related deaths are largely preventable, but interventions for the most vulnerable populations need improvement. Therefore, the prior identification of high risk areas at the community level is required to better inform planning and prevention. We aimed to demonstrate a simple and flexible conceptual framework relying upon satellite thermal data and other digital data with the goal of easily reproducing this framework in a variety of urban configurations. The study area encompasses Rennes, a medium-sized French city. A Landsat ETM + image (60 m resolution) acquired during a localized heatwave (June 2001) was used to estimate land surface temperature (LST) and derive a hazard index. A land-use regression model was performed to predict the LST. Vulnerability was assessed through census data describing four dimensions (socio-economic status, extreme age, population density and building obsolescence). Then, hazard and vulnerability indices were combined to deliver a heatwave health risk index. The LST patterns were quite heterogeneous, reflecting the land cover mosaic inside the city boundary, with hotspots of elevated temperature mainly observed in the city center. A spatial error regression model was highly predictive of the spatial variation in the LST (R² = 0.87) and was parsimonious. Three land cover descriptors (NDVI, vegetation and water fractions) were negatively linked with the LST. A sensitivity analysis (based on an image acquired on July 2000) yielded similar results. Southern areas exhibited the most vulnerability, although some pockets of higher vulnerability were observed northeast and west of the city. The heatwave health risk map showed evidence of infra-city spatial clustering, with the highest risks observed in a north-south central band. Another sensitivity analysis gave a very high correlation between 2000 and

  18. Mapping heatwave health risk at the community level for public health action

    Directory of Open Access Journals (Sweden)

    Buscail Camille

    2012-09-01

    Full Text Available Abstract Background Climate change poses unprecedented challenges, ranging from global and local policy challenges to personal and social action. Heat-related deaths are largely preventable, but interventions for the most vulnerable populations need improvement. Therefore, the prior identification of high risk areas at the community level is required to better inform planning and prevention. We aimed to demonstrate a simple and flexible conceptual framework relying upon satellite thermal data and other digital data with the goal of easily reproducing this framework in a variety of urban configurations. Results The study area encompasses Rennes, a medium-sized French city. A Landsat ETM + image (60 m resolution acquired during a localized heatwave (June 2001 was used to estimate land surface temperature (LST and derive a hazard index. A land-use regression model was performed to predict the LST. Vulnerability was assessed through census data describing four dimensions (socio-economic status, extreme age, population density and building obsolescence. Then, hazard and vulnerability indices were combined to deliver a heatwave health risk index. The LST patterns were quite heterogeneous, reflecting the land cover mosaic inside the city boundary, with hotspots of elevated temperature mainly observed in the city center. A spatial error regression model was highly predictive of the spatial variation in the LST (R2 = 0.87 and was parsimonious. Three land cover descriptors (NDVI, vegetation and water fractions were negatively linked with the LST. A sensitivity analysis (based on an image acquired on July 2000 yielded similar results. Southern areas exhibited the most vulnerability, although some pockets of higher vulnerability were observed northeast and west of the city. The heatwave health risk map showed evidence of infra-city spatial clustering, with the highest risks observed in a north–south central band. Another sensitivity analysis gave

  19. Heated communities: : large inter- and intraspecific variation in heat tolerance across trophic levels of a soil arthropod community

    NARCIS (Netherlands)

    Franken, Oscar; Huizinga, Milou; Ellers, Jacintha; Berg, Matty P

    Temperature extremes are predicted to increase in frequency, intensity and duration under global warming and are believed to significantly affect community composition and functioning. However, the effect of extreme climatic events on communities remains difficult to predict, especially because

  20. Community-level sensitivity of a calcifying ecosystem to acute in situ CO2 enrichment

    KAUST Repository

    Burdett, HL

    2017-11-23

    The rate of change in ocean carbonate chemistry is a vital determinant in the magnitude of effects observed. Benthic marine ecosystems are facing an increasing risk of acute CO2 exposure that may be natural or anthropogenically derived (e.g. engineering and industrial activities). However, our understanding of how acute CO2 events impact marine life is restricted to individual organisms, with little understanding for how this manifests at the community level. Here, we investigated in situ the effect of acute CO2 enrichment on the coralline algal ecosystem—a globally ubiquitous, ecologically and economically important habitat, but one which is likely to be sensitive to CO2 enrichment due to its highly calcified reef-like structures engineered by coralline algae. Most notably, we observed a rapid community-level shift to favour net dissolution rather than net calcification. Smaller changes from net respiration to net photosynthesis were also observed. There was no effect on the net flux of DMS/DMSP (algal secondary metabolites), nor on the nutrients nitrate and phosphate. Following return to ambient CO2 levels, only a partial recovery was seen within the monitoring timeframe. This study highlights the sensitivity of biogenic carbonate marine communities to acute CO2 enrichment and raises concerns over the capacity for the system to ‘bounce back’ if subjected to repeated acute high-CO2 events.

  1. Mechanisms of migration development at the community level: Migrant networks and types of links

    Directory of Open Access Journals (Sweden)

    Mónica Serban

    2014-11-01

    Full Text Available The paper approaches the problem of the development mechanism of international migration at community level.Some empirical observations cumulated during several researches,at origin and destination area, regarding Romanian migration to Spain constitute the starting points. Appealing to the distinction introduced by Mark Granovetter in 1976 between weak and strongties, we find that, if initially migration develops almost exclusively based on social relations that could be assimilated to strong ties,there is a moment in the process of development when the departures on the base of weak ties, with important consequences on the migrant’s situation at destination, increase.The paper tries to clarify, preponderantly invoking theoretical arguments,in what measure the departures based on weak ties between migrant and non migrant are normal in the process of international migration development at community level. The study concludes that, because of cumulative effects, migration evolution to a phase when the departure is possible based on weak ties is explainable.Two mechanisms mainly contribute to this result: enhancement of incentives to migrate (because of quantitative and qualitative information increase; visibility of migration effects in the origin area;changes of relative deprivation at community level and migration costs and risk lowering, with the consequence of reduction of effective support that a non-migrant needs from one migrant in order to migrate.

  2. Sunlight-exposed biofilm microbial communities are naturally resistant to chernobyl ionizing-radiation levels.

    Science.gov (United States)

    Ragon, Marie; Restoux, Gwendal; Moreira, David; Møller, Anders Pape; López-García, Purificación

    2011-01-01

    The Chernobyl accident represents a long-term experiment on the effects of exposure to ionizing radiation at the ecosystem level. Though studies of these effects on plants and animals are abundant, the study of how Chernobyl radiation levels affect prokaryotic and eukaryotic microbial communities is practically non-existent, except for a few reports on human pathogens or soil microorganisms. Environments enduring extreme desiccation and UV radiation, such as sunlight exposed biofilms could in principle select for organisms highly resistant to ionizing radiation as well. To test this hypothesis, we explored the diversity of microorganisms belonging to the three domains of life by cultivation-independent approaches in biofilms developing on concrete walls or pillars in the Chernobyl area exposed to different levels of radiation, and we compared them with a similar biofilm from a non-irradiated site in Northern Ireland. Actinobacteria, Alphaproteobacteria, Bacteroidetes, Acidobacteria and Deinococcales were the most consistently detected bacterial groups, whereas green algae (Chlorophyta) and ascomycete fungi (Ascomycota) dominated within the eukaryotes. Close relatives to the most radio-resistant organisms known, including Rubrobacter species, Deinococcales and melanized ascomycete fungi were always detected. The diversity of bacteria and eukaryotes found in the most highly irradiated samples was comparable to that of less irradiated Chernobyl sites and Northern Ireland. However, the study of mutation frequencies in non-coding ITS regions versus SSU rRNA genes in members of a same actinobacterial operational taxonomic unit (OTU) present in Chernobyl samples and Northern Ireland showed a positive correlation between increased radiation and mutation rates. Our results show that biofilm microbial communities in the most irradiated samples are comparable to non-irradiated samples in terms of general diversity patterns, despite increased mutation levels at the single

  3. Evaluation of the Community Health Nursing Course of First Year Proficiency Certificate Level Nursing in Nepal

    Directory of Open Access Journals (Sweden)

    Mandira Shahi

    2014-03-01

    Full Text Available INTRODUCTION: Community health is very much important in nursing education. It is essential because it maximizes the health status of individuals, families, groups and the community through direct approach with them. The main purpose of the study was to identify the gap in Community Health Nursing I course in Proficiency Certificate Level first year nursing program in Nepal. METHODS: Mix methods of research having qualitative and quantitative method were used in the study. Data were collected from 12 subject teachers, 35 nursing graduates and 61 Proficiency Certificate Level first year nursing students. The study used structured, five-point rating scale and open ended questions according to Strengths, Weaknesses, Opportunities and Threats analysis for the self-administered questionnaire. FINDINGS: Common view points of the three sector's respondents (student, nursing graduate and teachers regarding the strengths of curriculum are: curriculum is based on Primary Health Care approach and covers preventive and promotive aspects of health. Regarding weaknesses, they said that there is inadequate time for practice, there is lack of innovative methods and materials, the course didn't cover new trends of environmental pollution and changes, global warming, greenhouse effect, climate change and deforestation etc. Similarly, they added that curriculum is not revised regularly and there is insufficient supervision in field. Likewise, regarding opportunities, they said that there is job opportunity in social organization as Community Health Nursing/Public Health Nurse. Moreover, they said that there is lack of employment scope as threats point. CONCLUSION: The paper concludes that new issues and trends of community health nursing should be added, and curriculum should be revised regularly.

  4. Deviant early pregnancy maternal triglyceride levels and increased risk of congenital anomalies: a prospective community-based cohort study.

    Science.gov (United States)

    Nederlof, M; de Walle, H E K; van Poppel, M N M; Vrijkotte, T G M; Gademan, M G J

    2015-08-01

    The maternal lipid profile could be of importance in congenital anomaly development. This study therefore investigates whether the maternal lipid profile during early pregnancy is associated with major nonsyndromic congenital anomalies (MNCA). Prospective community-based cohort study. Amsterdam Born Children and their Development (ABCD) study. A cohort of 3074 pregnant women recruited in 2003-2004 and their offspring. Non-fasting blood samples from pregnant women participating in the ABCD-study (median 12.9 weeks of gestation) were analysed for triglycerides (TG), cholesterol (TC), free fatty acids (FFA), apolipoprotein B (ApoB), and apolipoprotein A1 (ApoA) (n = 3074). The perinatal outcome (MNCA) was obtained from the Youth Health Care Registration and two questionnaires. Adjustment was made for ethnicity. MNCA prevalence. The prevalence of MNCA was 2.2% (n = 68: 20 cardiovascular, 25 bone and muscle, and 23 other single anomalies). A nonlinear association was found between maternal TG levels and MNCA prevalence. With a lower or higher level of maternal TG, the estimated probability increased: a TG level of 0.73 mmol/l (5th percentile), of 1.28 mmol/l (50th percentile), and of 2.35 mmol/l (95th percentile) corresponded with an estimated probability of 3.6, 2.1, and 2.9%, respectively. Unadjusted subgroup analyses showed that the U-shaped association was most prominent for cardiovascular congenital anomalies. Other lipids were not associated with MNCA. Both low and high maternal TG levels during early pregnancy were associated with an increased risk of MNCA in offspring. This suggests that an attempt should be made to normalise TG levels before or during early pregnancy; however, replication of our results is necessary before clinical practice recommendations can be made. © 2015 Royal College of Obstetricians and Gynaecologists.

  5. Estimating Initial Viral Levels during Simian Immunodeficiency Virus/Human Immunodeficiency Virus Reactivation from Latency.

    Science.gov (United States)

    Pinkevych, Mykola; Fennessey, Christine M; Cromer, Deborah; Tolstrup, Martin; Søgaard, Ole S; Rasmussen, Thomas A; Keele, Brandon F; Davenport, Miles P

    2018-01-15

    Human immunodeficiency virus (HIV) viremia rebounds rapidly after treatment interruption, and a variety of strategies are being explored to reduce or control viral reactivation posttreatment. This viral rebound arises from reactivation of individual latently infected cells, which spread during ongoing rounds of productive infection. The level of virus produced by the initial individual reactivating cells is not known, although it may have major implications for the ability of different immune interventions to control viral rebound. Here we use data from both HIV and simian immunodeficiency virus (SIV) treatment interruption studies to estimate the initial viral load postinterruption and thereby the initial individual reactivation event. Using a barcoded virus (SIVmac239M) to track reactivation from individual latent cells, we use the observed viral growth rates and frequency of reactivation to model the dynamics of reactivation to estimate that a single reactivated latent cell can produce an average viral load equivalent to ∼0.1 to 0.5 viral RNA (vRNA) copies/ml. Modeling of treatment interruption in HIV suggests an initial viral load equivalent of ∼0.6 to 1 vRNA copies/ml. These low viral loads immediately following latent cell reactivation provide a window of opportunity for viral control by host immunity, before further replication allows viral spread. This work shows the initial levels of viral production that must be controlled in order to successfully suppress HIV reactivation following treatment interruption. IMPORTANCE Current treatment for HIV is able to suppress viral replication and prevent disease progression. However, treatment cannot eradicate infection, because the virus lies silent within latently infected cells. If treatment is stopped, the virus usually rebounds above the level of detection within a few weeks. There are a number of approaches being tested aimed at either eradicating latently infected cells or controlling the virus if it

  6. Using level data to estimate inflow hydrographs in ungauged sites of multiple reach systems

    Science.gov (United States)

    D'Oria, M.; Mignosa, P.; Tanda, M.

    2013-12-01

    Considering a natural river system, usually only few sites are monitored and equipped to measure discharge over time. However, the knowledge of the discharge hydrograph in a specific station is important for many purposes: calibration of rainfall-runoff model, building of new structures, flood frequency analysis, water resource management, etc.. In addition, continuous direct measurement of discharges in open channels can be impossible and in any way difficult to assess. Therefore, most frequently, only level gauges are used for monitoring the system. In this work we propose a methodology to estimate a flow hydrograph in completely ungauged upstream sites of multiple reach systems by means of level data available at monitored stations downstream. In particular, a Bayesian approach is proposed to solve this kind of inverse problem. Prior information, in terms of geostatistical models and tools, is used to represent the structure of the unknowns and to regularize the solution. The methodology requires a forward hydraulic model of the considered river system able to reproduce the routing process and to account for all the reach characteristics: roughness, bed slope, cross sections, confluences, structures, etc.. In this work, the forward model is the widely known HEC-RAS river analysis system. The methodology has been tested through synthetic examples of river confluences, that differ in the available water level data, in the boundary conditions and in the number of the estimated inflow time series. Known inflow time-series were routed downstream by means of HEC-RAS to obtain the downstream stage hydrographs used as observations to test the reverse procedure. In almost all cases, the observed water levels were corrupted with random errors to highlight the reliability of the methodology in preventing instabilities and overfitting. The procedure has been also tested on a real case study of a river confluence located at the city of Parma (Italy) to assess the tributary

  7. ESTIMATION OF HEAVY METAL LEVELS IN GREEN LEAFY VEGETABLES PURCHASED FROM SUCEAVA

    Directory of Open Access Journals (Sweden)

    Ancuța Elena PRISACARU

    2017-12-01

    Full Text Available In the present study the levels of five important heavy metals were identified in vegetable samples purchased from Suceava local markets. The concentrations of Cadmium (Cd, Lead (Pb, Iron (Fe, Zinc (Zn and Copper (Cu were analysed using a mass spectrometer with inductively coupled plasma (ICP-MS from the Instrumental Analysis Laboratory within the Faculty of Food Engineering Suceava. The mean levels of heavy metals examined in spinach (Spinacia oleracea, ramsons (Allium ursinum, lettuce (Lactuca sativa, orache (Atriplex hortensis and nettle (Urtica dioica were found to be in the order: Fe (13.52 µg/g > Cu (4.83 µg/g > Zn (3.623 µg/g > Cd (1.890 µg/g> Pb (0.290 µg/g. The highest concentration of heavy metal was identified in the case of Fe (51.333 µg/g in ramsons, whereas the lowest amount was identified for Pb (0.227 µg/g orache. The estimated daily intake for Cd is above 60 µg/kg b.w./day. The levels of the other metals are lower than the safe limits predicted by the FAO/WHO.

  8. Trend Estimation of Blood Glucose Level Fluctuations Based on Data Mining

    Directory of Open Access Journals (Sweden)

    Masaki Yamaguchi

    2003-06-01

    Full Text Available We have fabricated calorie-calculating software that calculates and records the total calorific food intake by choosing a meal menu selected using a computer mouse. The purpose of this software was to simplify data collection throughout a person's normal life, even if they were inexperienced computer operators. Three portable commercial devices have also been prepared a blood glucose monitor, a metabolic rate monitor and a mobile-computer, and linked into the calorie-calculating software. Time-course changes of the blood glucose level, metabolic rate and food intake were measured using these devices during a 3 month period. Based on the data collected in this study we could predict blood glucose levels of the next morning (FBG by modeling using data mining. Although a large error rate was found for predicting the absolute value, conditions could be found that improved the accuracy of the predicting trends in blood glucose level fluctuations by up to 90 %. However, in order to further improve the accuracy of estimation it was necessary to obtain further details about the patients' life style or to optimise the input variables that were dependent on each patient rather than collecting data over longer periods.

  9. A Mathematical Images Group Model to Estimate the Sound Level in a Close-Fitting Enclosure

    Directory of Open Access Journals (Sweden)

    Michael J. Panza

    2014-01-01

    Full Text Available This paper describes a special mathematical images model to determine the sound level inside a close-fitting sound enclosure. Such an enclosure is defined as the internal air volume defined by a machine vibration noise source at one wall and a parallel reflecting wall located very close to it and acts as the outside radiating wall of the enclosure. Four smaller surfaces define a parallelepiped for the volume. The main reverberation group is between the two large parallel planes. Viewed as a discrete line-type source, the main group is extended as additional discrete line-type source image groups due to reflections from the four smaller surfaces. The images group approach provides a convergent solution for the case where hard reflective surfaces are modeled with absorption coefficients equal to zero. Numerical examples are used to calculate the sound pressure level incident on the outside wall and the effect of adding high absorption to the front wall. This is compared to the result from the general large room diffuse reverberant field enclosure formula for several hard wall absorption coefficients and distances between machine and front wall. The images group method is shown to have low sensitivity to hard wall absorption coefficient value and presents a method where zero sound absorption for hard surfaces can be used rather than an initial hard surface sound absorption estimate or measurement to predict the internal sound levels the effect of adding absorption.

  10. Community-Based Interventions to Decrease Obesity and Tobacco Exposure and Reduce Health Care Costs: Outcome Estimates From Communities Putting Prevention to Work for 2010-2020.

    Science.gov (United States)

    Soler, Robin; Orenstein, Diane; Honeycutt, Amanda; Bradley, Christina; Trogdon, Justin; Kent, Charlotte K; Wile, Kristina; Haddix, Anne; O'Neil, Dara; Bunnell, Rebecca

    2016-04-07

    In 2010, the Centers for Disease Control and Prevention (CDC) launched Communities Putting Prevention to Work (CPPW), a $485 million program to reduce obesity, tobacco use, and exposure to secondhand smoke. CPPW awardees implemented evidence-based policy, systems, and environmental changes to sustain reductions in chronic disease risk factors. This article describes short-term and potential long-term benefits of the CPPW investment. We used a mixed-methods approach to estimate population reach and to simulate the effects of completed CPPW interventions through 2020. Each awardee developed a community action plan. We linked plan objectives to a common set of interventions across awardees and estimated population reach as an early indicator of impact. We used the Prevention Impacts Simulation Model (PRISM), a systems dynamics model of cardiovascular disease prevention, to simulate premature deaths, health care costs, and productivity losses averted from 2010 through 2020 attributable to CPPW. Awardees completed 73% of their planned objectives. Sustained CPPW improvements may avert 14,000 premature deaths, $2.4 billion (in 2010 dollars) in discounted direct medical costs, and $9.5 billion (in 2010 dollars) in discounted lifetime and annual productivity losses through 2020. PRISM results suggest that large investments in community preventive interventions, if sustained, could yield cost savings many times greater than the original investment over 10 to 20 years and avert 14,000 premature deaths.

  11. Community based rehabilitation: Does it really improve the level of productivity among persons with physical disabilities?

    Science.gov (United States)

    Moniruzzaman; Saha, Palash Chandra; Habib, Md Monjurul

    2015-01-01

    The Community Based Rehabilitation (CBR) is a common approach to work with disable people to improve their quality of life by improving the level of productivity and integrating them into society. But the effectiveness of CBR varies by country to country. The aim of the study was to find out whether CBR programs really improved the level of productivity among persons with physical disabilities. A cross-sectional study was conducted among equal number of respondents (n=51) from each CBR coverage and non-coverage areas from two different upazilla (sub-districts) located 40 km away from the capital city of Bangladesh. Respondents were selected purposively and data were collected by face to face interviews. Willer's (1994) version of the Community Integration Questionnaire (CIQ) was used to measure the level of productivity among adult with physical disabilities. The mean score of total productivity integration in CBR coverage and non-coverage areas were 4.3 ± 2.4 and 4.5 ± 2.2 respectively. This difference was statistically non-significant (p=0.602).The levels of productivity integration between CBR coverage and non-coverage areas varied only 2-4% (p=0.793). The mean score of productivity integration and levels of productivity were not different significantly in CBR coverage and non-coverage areas.

  12. ESTIMATING HIGH LEVEL WASTE MIXING PERFORMANCE IN HANFORD DOUBLE SHELL TANKS

    International Nuclear Information System (INIS)

    Thien, M.G.; Greer, D.A.; Townson, P.

    2011-01-01

    The ability to effectively mix, sample, certify, and deliver consistent batches of high level waste (HLW) feed from the Hanford double shell tanks (DSTs) to the Waste Treatment and Immobilization Plant (WTP) presents a significant mission risk with potential to impact mission length and the quantity of HLW glass produced. The Department of Energy's (DOE's) Tank Operations Contractor (TOC), Washington River Protection Solutions (WRPS) is currently demonstrating mixing, sampling, and batch transfer performance in two different sizes of small-scale DSTs. The results of these demonstrations will be used to estimate full-scale DST mixing performance and provide the key input to a programmatic decision on the need to build a dedicated feed certification facility. This paper discusses the results from initial mixing demonstration activities and presents data evaluation techniques that allow insight into the performance relationships of the two small tanks. The next steps, sampling and batch transfers, of the small scale demonstration activities are introduced. A discussion of the integration of results from the mixing, sampling, and batch transfer tests to allow estimating full-scale DST performance is presented.

  13. Towards a unified estimate of arctic glaciers contribution to sea level rise since 1972.

    Science.gov (United States)

    Dehecq, A.; Gardner, A. S.; Alexandrov, O.; McMichael, S.

    2017-12-01

    Glaciers retreat contributed to about 1/3 of the observed sea level rise since 1971 (IPCC). However, long term estimates of glaciers volume changes rely on sparse field observations and region-wide satellite observations are available mostly after 2000. The recently declassified images from the reconnaissance satellite series Hexagon (KH9), that acquired 6 m resolution stereoscopic images from 1971 to 1986, open new possibilities for glaciers observation. But the film-printed images represent a processing challenge. Here we present an automatic workflow developed to generate Digital Elevation Models (DEMs) at 24 m resolution from the raw scanned KH9 images. It includes a preprocessing step to detect fiducial marks and to correct distortions of the film caused by the 40-year storage. An estimate of the unknown satellite position is obtained from a crude geolocation of the images. Each stereo image pair/triplet is then processed using the NASA Ames Stereo Pipeline to derive an unscaled DEM using standard photogrammetric techniques. This DEM is finally aligned to a reference topography, to account for errors in translation, rotation and scaling. In a second part, we present DEMs generated over glaciers in the Canadian Arctic and analyze glaciers volume changes from 1970 to the more recent WorldView ArcticDEM.

  14. Muscle thickness measurements to estimate gluteus medius and minimus activity levels.

    Science.gov (United States)

    Dieterich, Angela V; Pickard, Christine M; Strauss, Geoffrey R; Deshon, Louise E; Gibson, William; McKay, Janice

    2014-10-01

    The clinical assessment of gluteus medius and minimus force sharing requires non-invasive measurements of individual activity levels. Do ultrasound measurements of change of muscle thickness substitute invasive electromyography (EMG)? Isometric hip abduction in 20-80% maximal voluntary isometric contraction (MVIC) was measured using dynamometry, M-mode ultrasound for gluteus medius and minimus thickness and EMG using (1) surface electrodes on gluteus medius, n = 15, (2) fine-wire electrodes in deep gluteus medius and minimus, n = 6. Gluteus medius thickened by 5.0 (SD 2.5) mm at 80% MVIC while gluteus minimus thickness was constant in the surface EMG study and decreased by 1.6 (SD 1.6) mm at the more ventral location in the fine-wire EMG study. Thickness change of gluteus medius enabled prediction of torque (r(2) 0.66) and of surface EMG amplitude (r(2) 0.57). Surface EMG enabled higher torque prediction (r(2) 0.84) than thickness change. Thickness change of gluteus minimus did not enable a practically relevant estimation of torque production. Ultrasound examination revealed a differential thickening behaviour of gluteus medius and minimus which enabled estimation of isometric torque production only for gluteus medius but with lower precision than surface EMG. Copyright © 2014 Elsevier Ltd. All rights reserved.

  15. Glass Property Data and Models for Estimating High-Level Waste Glass Volume

    International Nuclear Information System (INIS)

    Vienna, John D.; Fluegel, Alexander; Kim, Dong-Sang; Hrma, Pavel R.

    2009-01-01

    This report describes recent efforts to develop glass property models that can be used to help estimate the volume of high-level waste (HLW) glass that will result from vitrification of Hanford tank waste. The compositions of acceptable and processable HLW glasses need to be optimized to minimize the waste-form volume and, hence, to save cost. A database of properties and associated compositions for simulated waste glasses was collected for developing property-composition models. This database, although not comprehensive, represents a large fraction of data on waste-glass compositions and properties that were available at the time of this report. Glass property-composition models were fit to subsets of the database for several key glass properties. These models apply to a significantly broader composition space than those previously publised. These models should be considered for interim use in calculating properties of Hanford waste glasses.

  16. Combustion process in a spark ignition engine: dynamics and noise level estimation.

    Science.gov (United States)

    Kaminski, T; Wendeker, M; Urbanowicz, K; Litak, G

    2004-06-01

    We analyze the experimental time series of internal pressure in a four cylinder spark ignition engine. In our experiment, performed for different spark advance angles, apart from the usual cyclic changes of engine pressure we observed additional oscillations. These oscillations are with longer time scales ranging from one to several hundred engine cycles depending on engine working conditions. Based on the pressure time dependence we have calculated the heat released per combustion cycle. Using the time series of heat release to calculate the correlation coarse-grained entropy we estimated the noise level for internal combustion process. Our results show that for a larger spark advance angle the system is more deterministic. (c) 2004 American Institute of Physics

  17. Glass Property Data and Models for Estimating High-Level Waste Glass Volume

    Energy Technology Data Exchange (ETDEWEB)

    Vienna, John D.; Fluegel, Alexander; Kim, Dong-Sang; Hrma, Pavel R.

    2009-10-05

    This report describes recent efforts to develop glass property models that can be used to help estimate the volume of high-level waste (HLW) glass that will result from vitrification of Hanford tank waste. The compositions of acceptable and processable HLW glasses need to be optimized to minimize the waste-form volume and, hence, to save cost. A database of properties and associated compositions for simulated waste glasses was collected for developing property-composition models. This database, although not comprehensive, represents a large fraction of data on waste-glass compositions and properties that were available at the time of this report. Glass property-composition models were fit to subsets of the database for several key glass properties. These models apply to a significantly broader composition space than those previously publised. These models should be considered for interim use in calculating properties of Hanford waste glasses.

  18. Using communities of practice towards the next level of knowledge-management maturity

    Directory of Open Access Journals (Sweden)

    Lameshnee Chetty

    2012-07-01

    Objectives: The research was conducted to analyse the impact of communities of practice on building a learning organisation. The organisational system, culture and people offer the key towards leveraging knowledge as a strategic resource in a learning organisation. The awareness of the organisation concerning knowledge management was measured on a replicated knowledge management maturity model. Method: The organisational knowledge base was analysed prior to the implementation of the communities of practice and was compared to the situation three years later. The research was based on experiential learning cycles that consisted of five consequential but perpetual stages,namely reflect, plan, act, observe and reflect again. Results: The results indicated that communities of practice were instrumental in leveraging the organisation to the next level in the knowledge-management maturity model. A collaboration framework was developed for each business unit to work towards a common goal by harnessing the knowledge that was shared. Conclusion: Although a positive impact by communities of practice is visible, an instrument for the measurement of intellectual capital is necessary. It is recommended that the monetary value of knowledge as an asset is determined so that the value of the potential intellectual capital can be measured.

  19. Putting on the moves: Individual, household, and community-level determinants of residential mobility in Canada

    Directory of Open Access Journals (Sweden)

    Ravi Pendakur

    2013-10-01

    Full Text Available Background: Internal residential mobility is an important contributor to economic vitality, helping to address gaps in the labour market, assisting regions to develop comparative advantages, and encouraging the circulation of skills, capital, and networks within a country. Mobility is, however, a complex sociological phenomenon influenced by individual, household, and community-level variables. Objective: This article examines the combined impact of individual, household, and community characteristics on both short- and long-distance residential mobility in Canada. The study is motivated by a broader concern with economic development and community vitality, particularly in smaller towns and cities that have recently struggled to attract newcomers. Methods: A series of multilevel random intercept regression models are run on Canadian census data from 2006. Canada-wide findings are compared to those for five sizes of community - from small towns with fewer than 10,000 people to major metropolitan cities. Results: Despite the continued growth of major metropolitan areas, city size is not an attractor in and of itself. Rather, one of the most powerful draws for both small towns and large cities is the diversity of the existing population, as measured by the proportion of residents who are immigrants and/or visible minorities. Conclusions: These findings challenge some long-held stereotypes about rural living, and suggest that rural development strategies ought to include measures for enhancing diversity as a means of attracting all types of internal migrants to small towns and cities.

  20. Review and Current Status of Opisthorchis viverrini Infection at the Community Level in Thailand.

    Science.gov (United States)

    Kaewpitoon, Natthawut; Kootanavanichpong, Nusorn; Kompor, Ponthip; Chavenkun, Wasugree; Kujapun, Jirawoot; Norkaew, Jun; Ponphimai, Sukanya; Matrakool, Likit; Tongtawee, Taweesak; Panpimanmas, Sukij; Rujirakul, Ratana; Padchasuwan, Natnapa; Pholsripradit, Poowadol; Eksanti, Thawatchai; Phatisena, Tanida; Loyd, Ryan A; Kaewpitoon, Soraya J

    2015-01-01

    Opisthorchis viverrini is remains a public health problem in Thailand, particularly in the northeast and north regions which have the highest incidences of chonalgiocarcinoma (CCA). O. viverrini causes the disease opithorchiasis, and its has been classified as a group 1 biological carcinogen. Humans, dogs, and cats become infected with O. viverrini by ingesting raw or undercooked fish containing infective metacercariae. The first human cases of O. viverrini infection were reported in Thailand 100 years ago, and it's still a problem at the community level. Based on data for the year 2009, more than 6 million people were infected with O. viverrini. Associated medical care and loss of wages in Thailand costs about $120 million annually. This review highlights the current status of O. viverrini infection in communities of Thailand through active surveillance for the five years period from 2010 and 2015. A total of 17 community-based surveys were conducted, most in the northeast region. Some 7 surveys demonstrated a high prevalence over 20%, and the highest was 45.7%. Most commonly infection was found in age group of 35 years and older, males, and agricultural workers. Although, the national prevalence may be decreasing but the results show that the O. viverrini infection is still high in communities of the northeast region. Therefore, the focus in populations living in northeast Thailand should be screening of infection and changing their eating behavior.

  1. Assessment of groundwater level estimation uncertainty using sequential Gaussian simulation and Bayesian bootstrapping

    Science.gov (United States)

    Varouchakis, Emmanouil; Hristopulos, Dionissios

    2015-04-01

    Space-time geostatistical approaches can improve the reliability of dynamic groundwater level models in areas with limited spatial and temporal data. Space-time residual Kriging (STRK) is a reliable method for spatiotemporal interpolation that can incorporate auxiliary information. The method usually leads to an underestimation of the prediction uncertainty. The uncertainty of spatiotemporal models is usually estimated by determining the space-time Kriging variance or by means of cross validation analysis. For de-trended data the former is not usually applied when complex spatiotemporal trend functions are assigned. A Bayesian approach based on the bootstrap idea and sequential Gaussian simulation are employed to determine the uncertainty of the spatiotemporal model (trend and covariance) parameters. These stochastic modelling approaches produce multiple realizations, rank the prediction results on the basis of specified criteria and capture the range of the uncertainty. The correlation of the spatiotemporal residuals is modeled using a non-separable space-time variogram based on the Spartan covariance family (Hristopulos and Elogne 2007, Varouchakis and Hristopulos 2013). We apply these simulation methods to investigate the uncertainty of groundwater level variations. The available dataset consists of bi-annual (dry and wet hydrological period) groundwater level measurements in 15 monitoring locations for the time period 1981 to 2010. The space-time trend function is approximated using a physical law that governs the groundwater flow in the aquifer in the presence of pumping. The main objective of this research is to compare the performance of two simulation methods for prediction uncertainty estimation. In addition, we investigate the performance of the Spartan spatiotemporal covariance function for spatiotemporal geostatistical analysis. Hristopulos, D.T. and Elogne, S.N. 2007. Analytic properties and covariance functions for a new class of generalized Gibbs

  2. Estimating Causal Effects of Local Air Pollution on Daily Deaths: Effect of Low Levels.

    Science.gov (United States)

    Schwartz, Joel; Bind, Marie-Abele; Koutrakis, Petros

    2017-01-01

    , Koutrakis P. 2017. Estimating causal effects of local air pollution on daily deaths: effect of low levels. Environ Health Perspect 125:23-29; http://dx.doi.org/10.1289/EHP232.

  3. Estimating parameters of neutral communities : From one single large to several small samples

    NARCIS (Netherlands)

    Munoz, Francois; Couteron, Pierre; Ramesh, B. R.; Etienne, Rampal S.

    2007-01-01

    The neutral theory of S. P. Hubbell postulates a two-scale hierarchical framework consisting of a metacommunity following the speciation - drift equilibrium characterized by the "biodiversity number'' theta, and local communities following the migration - drift equilibrium characterized by the

  4. MIS 5e relative sea level indicators : new methodologies to sustain the quantitative estimate of past sea level changes

    OpenAIRE

    Lorscheid, Thomas

    2017-01-01

    During the Marine Isotopic Stage (MIS) 5e global sea level was 6-9 m higher than today. The only direct observations of this sea level are paleo relative sea-level (RSL) indicators. Their relationship to sea level is called the indicative meaning and is quantified by the reference water level and the indicative range. In this thesis, some of the problems around the determination of the indicative meaning, precise elevation measurements and structured reporting of databases are addressed. In t...

  5. Submerged macrophyte communities in the Forsmark area. Building of a GIS application as a tool for biomass estimations

    Energy Technology Data Exchange (ETDEWEB)

    Fredriksson, Ronny [Univ. of Kalmar (Sweden)

    2005-12-15

    The aim of this study was to compile the information from previous studies to produce a GIS application that both illustrates the distribution of different vegetation communities and also makes it possible to estimate the total biomass of the different vegetation communities and its associated fauna. The GIS application was created by means of the software Arc View 3.3 by Environmental Systems Research Institute, Inc. Distribution readings and quantitative data of submerged macrophyte communities and its associated fauna was obtained from studies by Kautsky et al. and by Borgiel. Information about the macrophyte distribution in Laangoersviken, located in the northern parts of Kallrigafjaerden, was obtained from a report by Upplandsstiftelsen. Information about water depth and bottom substrate was available as USGS DEM file, produced by Geological Survey of Sweden. Complementary data of the covering degree of submerged vegetation was obtained from a study using an under water video camera by Tobiasson. Quantitative data on macrophyte and faunal biomass were either obtained from the primary SKB data base SICADA or directly from reports. Samples were compiled and analysed according to dominating vegetation. The work was carried out as follows: Where information about the bottom substrate was available polygons were created by means of the substrate shape file and depth grid from Geological Survey of Sweden. The vegetation community and the covering degree on a certain depth and substrate combination were determined by compiled information from studies by Kautsky and by Borgiel. All observations from a certain bottom substrate were analysed to find the dominating vegetation within different depth ranges. After determining the dominating vegetation, the covering degrees of different macrophyte classes within each depth range were calculated as a mean of all readings. Areas without information about the bottom substrate, but still adjacent to areas included in the

  6. Submerged macrophyte communities in the Forsmark area. Building of a GIS application as a tool for biomass estimations

    International Nuclear Information System (INIS)

    Fredriksson, Ronny

    2005-12-01

    The aim of this study was to compile the information from previous studies to produce a GIS application that both illustrates the distribution of different vegetation communities and also makes it possible to estimate the total biomass of the different vegetation communities and its associated fauna. The GIS application was created by means of the software Arc View 3.3 by Environmental Systems Research Institute, Inc. Distribution readings and quantitative data of submerged macrophyte communities and its associated fauna was obtained from studies by Kautsky et al. and by Borgiel. Information about the macrophyte distribution in Laangoersviken, located in the northern parts of Kallrigafjaerden, was obtained from a report by Upplandsstiftelsen. Information about water depth and bottom substrate was available as USGS DEM file, produced by Geological Survey of Sweden. Complementary data of the covering degree of submerged vegetation was obtained from a study using an under water video camera by Tobiasson. Quantitative data on macrophyte and faunal biomass were either obtained from the primary SKB data base SICADA or directly from reports. Samples were compiled and analysed according to dominating vegetation. The work was carried out as follows: Where information about the bottom substrate was available polygons were created by means of the substrate shape file and depth grid from Geological Survey of Sweden. The vegetation community and the covering degree on a certain depth and substrate combination were determined by compiled information from studies by Kautsky and by Borgiel. All observations from a certain bottom substrate were analysed to find the dominating vegetation within different depth ranges. After determining the dominating vegetation, the covering degrees of different macrophyte classes within each depth range were calculated as a mean of all readings. Areas without information about the bottom substrate, but still adjacent to areas included in the

  7. Targeting associated mechanisms of anterior cruciate ligament injury in female community-level athletes.

    Science.gov (United States)

    Staynor, Jonathan M D; Nicholas, Joanna C; Weir, Gillian; Alderson, Jacqueline A; Donnelly, Cyril J

    2017-11-01

    This study aims to determine if biomechanically informed injury prevention training can reduce associated factors of anterior cruciate ligament injury risk among a general female athletic population. Female community-level team sport athletes, split into intervention (n = 8) and comparison groups (n = 10), completed a sidestepping movement assessment prior to and following a 9-week training period, in which kinetic, kinematic and neuromuscular data were collected. The intervention group completed a biomechanically informed training protocol, consisting of plyometric, resistance and balance exercises, adjunct to normal training, for 15-20 min twice a week. Following the 9-week intervention, total activation of the muscles crossing the knee (n = 7) decreased for both the training (∆ -15.02%, d = 0.45) and comparison (∆ -9.68%, d = 0.47) groups. This decrease was accompanied by elevated peak knee valgus (∆ +27.78%, d = -0.36) and internal rotation moments (∆ +37.50%, d = -0.56) in the comparison group, suggesting that female community athletes are at an increased risk of injury after a season of play. Peak knee valgus and internal rotation knee moments among athletes who participated in training intervention did not change over the intervention period. Results suggest participation in a biomechanically informed training intervention may mitigate the apparent deleterious effects of community-level sport participation.

  8. Linking electronic health records with community-level data to understand childhood obesity risk.

    Science.gov (United States)

    Tomayko, E J; Flood, T L; Tandias, A; Hanrahan, L P

    2015-12-01

    Environmental and socioeconomic factors should be considered along with individual characteristics when determining risk for childhood obesity. To assess relationships and interactions among the economic hardship index (EHI) and race/ethnicity, age and sex in regard to childhood obesity rates in Wisconsin children using an electronic health record dataset. Data were collected using the University of Wisconsin (UW) Public Health Information Exchange database, which links electronic health records with census-derived community-level data. Records from 53,775 children seen at UW clinics from 2007 to 2012 were included. Mixed-effects modelling was used to determine obesity rates and the interaction of EHI with covariates (race/ethnicity, age, sex). When significant interactions were determined, linear regression analyses were performed for each subgroup (e.g. by age groups). The overall obesity rate was 11.7% and significant racial/ethnic disparities were detected. Childhood obesity was significantly associated with EHI at the community level (r = 0.62, P childhood obesity risk in some, but not all, races and ethnicities. Furthermore, the impact of EHI on obesity may be compounded over time. Our findings demonstrate the utility of linking electronic health information with census data to rapidly identify community-specific risk factors in a cost-effective manner. © 2014 World Obesity.

  9. Health system and community level interventions for improving antenatal care coverage and health outcomes

    Science.gov (United States)

    Mbuagbaw, Lawrence; Medley, Nancy; Darzi, Andrea J; Richardson, Marty; Habiba Garga, Kesso; Ongolo-Zogo, Pierre

    2015-01-01

    to adjust for cluster effects. Outcomes should be reported uniformly so that they are comparable to commonly-used population indicators. We recommend further cluster-RCTs of pregnant women and women in their reproductive years, using combinations of interventions and looking at outcomes that are important to pregnant women, such as maternal and perinatal morbidity and mortality, alongside the explanatory outcomes along the pathway of care: ANC coverage, the services provided during ANC and deliveries in health facilities. PLAIN LANGUAGE SUMMARY Health system and community level interventions for improving antenatal care coverage and health outcomes What is the issue? The World Health Organization recommends at least four antenatal visits for all pregnant women. Almost half of pregnant women worldwide miss out on this level of care, and this is more problematic in low- and middle-income countries. Why is this important? Healthcare during pregnancy is a priority because poor antenatal attendance is associated with delivery of low birthweight babies and more newborn deaths. Antenatal care also provides opportunity for nutritional and health checks, such as whether a woman has a disease like malaria or has been exposed to infectious diseases such as HIV (human immunodeficiency virus) or syphilis. What evidence did we find? We reviewed randomised controlled trials that tested ways to improve the uptake of antenatal care during pregnancy. Some trials tested community-based interventions (media campaigns, education on self and infant care or financial incentives for pregnant women to attend antenatal care), while other trials looked at health systems interventions (home visits for pregnant women or provision of equipment for clinics). We included 34 trials with approximately 400,000 women. Most trials took place in low- and middle-income countries, and most trials were conducted in a way that made us feel confident about trusting the published reports. We assessed 30 of the

  10. Economic implications of mercury exposure in the context of the global mercury treaty: Hair mercury levels and estimated lost economic productivity in selected developing countries.

    Science.gov (United States)

    Trasande, Leonardo; DiGangi, Joseph; Evers, David C; Petrlik, Jindrich; Buck, David G; Šamánek, Jan; Beeler, Bjorn; Turnquist, Madeline A; Regan, Kevin

    2016-12-01

    Several developing countries have limited or no information about exposures near anthropogenic mercury sources and no studies have quantified costs of mercury pollution or economic benefits to mercury pollution prevention in these countries. In this study, we present data on mercury concentrations in human hair from subpopulations in developing countries most likely to benefit from the implementation of the Minamata Convention on Mercury. These data are then used to estimate economic costs of mercury exposure in these communities. Hair samples were collected from sites located in 15 countries. We used a linear dose-response relationship that previously identified a 0.18 IQ point decrement per part per million (ppm) increase in hair mercury, and modeled a base case scenario assuming a reference level of 1 ppm, and a second scenario assuming no reference level. We then estimated the corresponding increases in intellectual disability and lost Disability-Adjusted Life Years (DALY). A total of 236 participants provided hair samples for analysis, with an estimated population at risk of mercury exposure near the 15 sites of 11,302,582. Average mercury levels were in the range of 0.48 ppm-4.60 ppm, and 61% of all participants had hair mercury concentrations greater than 1 ppm, the level that approximately corresponds to the USA EPA reference dose. An additional 1310 cases of intellectual disability attributable to mercury exposure were identified annually (4110 assuming no reference level), resulting in 16,501 lost DALYs (51,809 assuming no reference level). A total of $77.4 million in lost economic productivity was estimated assuming a 1 ppm reference level and $130 million if no reference level was used. We conclude that significant mercury exposures occur in developing and transition country communities near sources named in the Minamata Convention, and our estimates suggest that a large economic burden could be avoided by timely implementation of measures to

  11. Louisiana's Coastal Crisis: Characterizing Household and Community-Level Impacts and Responses

    Science.gov (United States)

    Austin, D. E.

    2017-12-01

    Rich in natural resources and critical ecosystems, the Mississippi delta also is the site of numerous human communities, from sparsely populated towns to dense urban neighborhoods. People who live and work within the delta face major challenges as they confront land loss, subsidence, and storms. This presentation outlines key household and community-level impacts of these environmental changes and both individual and collective responses to them. Based on two decades of applied ethnographic research in the region, as well as the author's participation as an advisor to federal, state, and local organizations, the presentation considers historical and contemporary processes and practices, social organization, and cultural dynamics to analyze proposed policies for addressing the impacts.

  12. Impact of Anthropogenic Noise on Aquatic Animals: From Single Species to Community-Level Effects.

    Science.gov (United States)

    Sabet, Saeed Shafiei; Neo, Yik Yaw; Slabbekoorn, Hans

    2016-01-01

    Anthropogenic noise underwater is on the rise and may affect aquatic animals of marine and freshwater ecosystems. Many recent studies concern some sort of impact assessment of a single species. Few studies addressed the noise impact on species interactions underwater, whereas there are some studies that address community-level impact but only on land in air. Key processes such as predator-prey or competitor interactions may be affected by the masking of auditory cues, noise-related disturbance, or attentional interference. Noise-associated changes in these interactions can cause shifts in species abundance and modify communities, leading to fundamental ecosystem changes. To gain further insight into the mechanism and generality of earlier findings, we investigated the impact on both a predator and a prey species in captivity, zebrafish (Danio rerio) preying on waterfleas (Daphnia magna).

  13. Community-level policy responses to state marijuana legalization in Washington State.

    Science.gov (United States)

    Dilley, Julia A; Hitchcock, Laura; McGroder, Nancy; Greto, Lindsey A; Richardson, Susan M

    2017-04-01

    Washington State (WA) legalized a recreational marijuana market - including growing, processing and retail sales - through voter initiative 502 in November 2012. Legalized recreational marijuana retail sales began in July 2014. In response to state legalization of recreational marijuana, some cities and counties within the state have passed local ordinances that either further regulated marijuana markets, or banned them completely. The purpose of this study is to describe local-level marijuana regulations on recreational retail sales within the context of a state that had legalized a recreational marijuana market. Marijuana-related ordinances were collected from all 142 cities in the state with more than 3000 residents and from all 39 counties. Policies that were in place as of June 30, 2016 - two years after the state's recreational market opening - to regulate recreational marijuana retail sales within communities were systematically coded. A total of 125 cities and 30 counties had passed local ordinances to address recreational marijuana retail sales. Multiple communities implemented retail market bans, including some temporary bans (moratoria) while studying whether to pursue other policy options. As of June 30, 2016, 30% of the state population lived in places that had temporarily or permanently banned retail sales. Communities most frequently enacted zoning policies explicitly regulating where marijuana businesses could be established. Other policies included in ordinances placed limits on business hours and distance requirements (buffers) between marijuana businesses and youth-related land use types or other sensitive areas. State legalization does not necessarily result in uniform community environments that regulate recreational marijuana markets. Local ordinances vary among communities within Washington following statewide legalization. Further study is needed to describe how such local policies affect variation in public health and social outcomes

  14. Benchmarking viromics: an in silico evaluation of metagenome-enabled estimates of viral community composition and diversity

    Directory of Open Access Journals (Sweden)

    Simon Roux

    2017-09-01

    Full Text Available Background Viral metagenomics (viromics is increasingly used to obtain uncultivated viral genomes, evaluate community diversity, and assess ecological hypotheses. While viromic experimental methods are relatively mature and widely accepted by the research community, robust bioinformatics standards remain to be established. Here we used in silico mock viral communities to evaluate the viromic sequence-to-ecological-inference pipeline, including (i read pre-processing and metagenome assembly, (ii thresholds applied to estimate viral relative abundances based on read mapping to assembled contigs, and (iii normalization methods applied to the matrix of viral relative abundances for alpha and beta diversity estimates. Results Tools specifically designed for metagenomes, specifically metaSPAdes, MEGAHIT, and IDBA-UD, were the most effective at assembling viromes. Read pre-processing, such as partitioning, had virtually no impact on assembly output, but may be useful when hardware is limited. Viral populations with 2–5 × coverage typically assembled well, whereas lesser coverage led to fragmented assembly. Strain heterogeneity within populations hampered assembly, especially when strains were closely related (average nucleotide identity, or ANI ≥97% and when the most abundant strain represented <50% of the population. Viral community composition assessments based on read recruitment were generally accurate when the following thresholds for detection were applied: (i ≥10 kb contig lengths to define populations, (ii coverage defined from reads mapping at ≥90% identity, and (iii ≥75% of contig length with ≥1 × coverage. Finally, although data are limited to the most abundant viruses in a community, alpha and beta diversity patterns were robustly estimated (±10% when comparing samples of similar sequencing depth, but more divergent (up to 80% when sequencing depth was uneven across the dataset. In the latter cases, the use of normalization

  15. Estimating Risks of Heat Strain by Age and Sex: A Population-Level Simulation Model

    Directory of Open Access Journals (Sweden)

    Kathryn Glass

    2015-05-01

    Full Text Available Individuals living in hot climates face health risks from hyperthermia due to excessive heat. Heat strain is influenced by weather exposure and by individual characteristics such as age, sex, body size, and occupation. To explore the population-level drivers of heat strain, we developed a simulation model that scales up individual risks of heat storage (estimated using Myrup and Morgan’s man model “MANMO” to a large population. Using Australian weather data, we identify high-risk weather conditions together with individual characteristics that increase the risk of heat stress under these conditions. The model identifies elevated risks in children and the elderly, with females aged 75 and older those most likely to experience heat strain. Risk of heat strain in males does not increase as rapidly with age, but is greatest on hot days with high solar radiation. Although cloudy days are less dangerous for the wider population, older women still have an elevated risk of heat strain on hot cloudy days or when indoors during high temperatures. Simulation models provide a valuable method for exploring population level risks of heat strain, and a tool for evaluating public health and other government policy interventions.

  16. Estimating the financial savings from maintaining the level of acute services with fewer hospital beds.

    Science.gov (United States)

    Beech, R; Larkinson, J

    1990-01-01

    All district health authorities are obliged to use resources most efficiently. One approach to increasing efficiency is to identify measures which allow service levels, in terms of patients treated and standards of care, to be maintained at a lower cost. This could be achieved by maintaining service levels with fewer hospital beds. Reducing lengths of stay by removing organizational delays and expansions of day-case care, are policies which can increase patient caseload per bed. This paper puts forward an approach for estimating the resources released by such policies and assesses the savings achieved by realizing efficiency gains identified in a previous study by Beech et al. (1987). That study identified significant potential for maintaining services with fewer beds, with the expansion of day-case care being a key mechanism. However this paper concludes that when services are maintained with fewer beds, the vast majority of hospital costs remain fixed. It also reaches the alarming conclusion that as a vehicle for reducing costs, day-case care is much less effective than previous studies have implied. However, increasing hospital throughput per bed does release capacity to treat more patients. The proposed reforms of the NHS (Secretaries of State, 1989) envisage an internal market for health care, allowing hospitals to enter into contracts with purchasers of health care. The approach to costing described in this paper is applicable to assessing the increased costs associated with such developments. These extra costs can then be compared with expected income.

  17. Estimation of the Level of Competition in the Banking Sector of Georgia

    Directory of Open Access Journals (Sweden)

    Gechbaia Badri N.

    2016-08-01

    Full Text Available On the basis of the latest literary sources and rich factual material the article consistently analyzes and estimates the level of competition in the banking sector of Georgia. In the course of relevant studies it was found (with further confirmation in the economic life, that the competition in the banking market has certain specific features, which make it different from the competition that is present in other markets. One of important differences is that the banking market operates with money — a commodity with absolute liquidity, which can not be replaced by other commodities. Another important feature is associated with the mobility of financial capital in the banking market. There made a conclusion that, despite the fairly low level of crediting the Georgian economy, the burden of debt service on each of the borrowers is hard enough, which is caused by the high interest rates and short-term nature. Accordingly, the lowering of interest rates is not only desirable for the overall economic development but also is a prerequisite for achieving the further growth of the banks themselves.

  18. [Arsenic levels in drinking water supplies from underground sources in the community of Madrid].

    Science.gov (United States)

    Aragonés Sanz, N; Palacios Diez, M; Avello de Miguel, A; Gómez Rodríguez, P; Martínez Cortés, M; Rodríguez Bernabeu, M J

    2001-01-01

    In 1998, arsenic concentrations of more than 50 micrograms/l were detected in some drinking water supplies from underground sources in the Autonomous Community of Madrid, which is the maximum permissible concentration for drinking water in Spain. These two facts have meant the getting under way of a specific plan for monitoring arsenic in the drinking water in the Autonomous Community of Madrid. The results of the first two sampling processes conducted in the arsenic level monitoring plan set out are presented. In the initial phase, water samples from 353 water supplies comprised within the census of the Public Health Administration of the Autonomous Community of Madrid were analyzed. A water supply risk classification was made based on these initial results. In a second phase, six months later, the analyses were repeated on those 35 water supplies which were considered to possibly pose a risk to public health. Seventy-four percent (74%) of the water supplies studied in the initial phase were revealed to have an arsenic concentration of less than 10 micrograms/l, 22.6% containing levels of 10 micrograms/l-50 micrograms/l, and 3.7% over 50 micrograms/l. Most of the water supplies showing arsenic levels of more than 10 micrograms/l are located in the same geographical area. In the second sampling process (six months later), the 35 water supplies classified as posing a risk were included. Twenty-six (26) of these supplies were revealed to have the same arsenic level ((10-50 micrograms/l), and nine changed category, six of which had less than 10 micrograms/l and three more than 50 micrograms/l. In the Autonomous Community of Madrid, less than 2% of the population drinks water coming from supplies which are from underground sources. The regular water quality monitoring conducted by the Public Health Administration has led to detecting the presence of more than 50 micrograms/l of arsenic in sixteen drinking water supplies from underground sources, which is the maximum

  19. Functional trait diversity across trophic levels determines herbivore impact on plant community biomass.

    Science.gov (United States)

    Deraison, Hélène; Badenhausser, Isabelle; Loeuille, Nicolas; Scherber, Christoph; Gross, Nicolas

    2015-12-01

    Understanding the consequences of trophic interactions for ecosystem functioning is challenging, as contrasting effects of species and functional diversity can be expected across trophic levels. We experimentally manipulated functional identity and diversity of grassland insect herbivores and tested their impact on plant community biomass. Herbivore resource acquisition traits, i.e. mandible strength and the diversity of mandibular traits, had more important effects on plant biomass than body size. Higher herbivore functional diversity increased overall impact on plant biomass due to feeding niche complementarity. Higher plant functional diversity limited biomass pre-emption by herbivores. The functional diversity within and across trophic levels therefore regulates the impact of functionally contrasting consumers on primary producers. By experimentally manipulating the functional diversity across trophic levels, our study illustrates how trait-based approaches constitute a promising way to tackle existing links between trophic interactions and ecosystem functioning. © 2015 John Wiley & Sons Ltd/CNRS.

  20. EEG-based learning system for online motion sickness level estimation in a dynamic vehicle environment.

    Science.gov (United States)

    Lin, Chin-Teng; Tsai, Shu-Fang; Ko, Li-Wei

    2013-10-01

    Motion sickness is a common experience for many people. Several previous researches indicated that motion sickness has a negative effect on driving performance and sometimes leads to serious traffic accidents because of a decline in a person's ability to maintain self-control. This safety issue has motivated us to find a way to prevent vehicle accidents. Our target was to determine a set of valid motion sickness indicators that would predict the occurrence of a person's motion sickness as soon as possible. A successful method for the early detection of motion sickness will help us to construct a cognitive monitoring system. Such a monitoring system can alert people before they become sick and prevent them from being distracted by various motion sickness symptoms while driving or riding in a car. In our past researches, we investigated the physiological changes that occur during the transition of a passenger's cognitive state using electroencephalography (EEG) power spectrum analysis, and we found that the EEG power responses in the left and right motors, parietal, lateral occipital, and occipital midline brain areas were more highly correlated to subjective sickness levels than other brain areas. In this paper, we propose the use of a self-organizing neural fuzzy inference network (SONFIN) to estimate a driver's/passenger's sickness level based on EEG features that have been extracted online from five motion sickness-related brain areas, while either in real or virtual vehicle environments. The results show that our proposed learning system is capable of extracting a set of valid motion sickness indicators that originated from EEG dynamics, and through SONFIN, a neuro-fuzzy prediction model, we successfully translated the set of motion sickness indicators into motion sickness levels. The overall performance of this proposed EEG-based learning system can achieve an average prediction accuracy of ~82%.

  1. Automatic Conflict Monitoring by Event-Related Potentials Could be used to Estimate Visual Acuity Levels.

    Science.gov (United States)

    Huang, Wenwen; Liu, Sinan; Luo, Bin; Meng, Huanhuan; Ji, Mengmeng; Li, Maojuan; Chen, Xiping; Tao, Luyang

    2018-03-15

    Numerous studies have explored the physical attribute features or face perceptions in conflict processing, while complicate gradient conflicts were rarely discussed. The aim of the study was to discuss the relationship between the event-related potential (ERP) component features and different visual acuity levels by using the modified S1-S2 task under non-attention status. Three visual acuity levels were applied, each with four orientations of "E" optotype stimuli randomly presented in the center of the visual field while participants were required to concentrate on listening to stories. The results showed that the amplitudes of P1 and P3 as well as difference P3 were larger in supra-threshold condition. In threshold condition, larger amplitudes for both N2 and difference N2 exhibited in frontal and central areas. In sub-threshold condition, there was no endogenous component elicited by mismatch stimuli except smaller anterior N1. Meanwhile, the specific distributions of N1 and N2 were presented and compared with previous face processing. The findings showed that visual conflict processing took place not only at an early stage but also at the late period, which might be as the consequences of interaction between conflict strength and involuntary attention. We concluded that automatic conflict detecting of visual icons by the serial ERP components could distinguish different visual acuity levels. The involvement of endogenous components could reveal the specific mechanism of more precise and fine conflict identification of complex physical attributes under non-attention status, furthermore could be used as valid markers to estimate the magnitude of visual acuity objectively. Copyright © 2018 IBRO. Published by Elsevier Ltd. All rights reserved.

  2. Positioning and number of nutritional levels in dose-response trials to estimate the optimal-level and the adjustment of the models

    Directory of Open Access Journals (Sweden)

    Fernando Augusto de Souza

    2014-07-01

    Full Text Available The aim of this research was to evaluate the influence of the number and position of nutrient levels used in dose-response trials in the estimation of the optimal-level (OL and the goodness of fit on the models: quadratic polynomial (QP, exponential (EXP, linear response plateau (LRP and quadratic response plateau (QRP. It was used data from dose-response trials realized in FCAV-Unesp Jaboticabal considering the homogeneity of variances and normal distribution. The fit of the models were evaluated considered the following statistics: adjusted coefficient of determination (R²adj, coefficient of variation (CV and the sum of the squares of deviations (SSD.It was verified in QP and EXP models that small changes on the placement and distribution of the levels caused great changes in the estimation of the OL. The LRP model was deeply influenced by the absence or presence of the level between the response and stabilization phases (change in the straight to plateau. The QRP needed more levels on the response phase and the last level on stabilization phase to estimate correctly the plateau. It was concluded that the OL and the adjust of the models are dependent on the positioning and the number of the levels and the specific characteristics of each model, but levels defined near to the true requirement and not so spaced are better to estimate the OL.

  3. Bias in estimating the cross-sectional smoking, alcohol, obesity and diabetes associations with moderate-severe periodontitis in the Atherosclerosis Risk in Communities study: comparison of full versus partial-mouth estimates.

    Science.gov (United States)

    Akinkugbe, Aderonke A; Saraiya, Veeral M; Preisser, John S; Offenbacher, Steven; Beck, James D

    2015-07-01

    To assess whether partial-mouth protocols (PRPs) result in biased estimates of the associations between smoking, alcohol, obesity and diabetes with periodontitis. Using a sample (n = 6129) of the 1996-1998 Atherosclerosis Risk in Communities study, we used measures of probing pocket depth and clinical attachment level to identify moderate-severe periodontitis. Adjusting for confounders, unconditional binary logistic regression estimated prevalence odds ratios (POR) and 95% confidence limits. Specifically, we compared POR for smoking, alcohol, obesity and diabetes with periodontitis derived from full-mouth to those derived from 4-PRPs (Ramfjörd, National Health and Nutrition Examination survey-III, modified-NHANES-IV and 42-site-Random-site selection-method). Finally, we conducted a simple sensitivity analysis of periodontitis misclassification by changing the case definition threshold for each PRP. In comparison to full-mouth PORs, PRP PORs were biased in terms of magnitude and direction. Holding the full-mouth case definition at moderate-severe periodontitis and setting it at mild-moderate-severe for the PRPs did not consistently produce POR estimates that were either biased towards or away from the null in comparison to full-mouth estimates. Partial-mouth protocols result in misclassification of periodontitis and may bias epidemiologic measures of association. The magnitude and direction of this bias depends on choice of PRP and case definition threshold used. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  4. An Artificial Neural Network for Movement Pattern Analysis to Estimate Blood Alcohol Content Level.

    Science.gov (United States)

    Gharani, Pedram; Suffoletto, Brian; Chung, Tammy; Karimi, Hassan A

    2017-12-13

    Impairments in gait occur after alcohol consumption, and, if detected in real-time, could guide the delivery of "just-in-time" injury prevention interventions. We aimed to identify the salient features of gait that could be used for estimating blood alcohol content (BAC) level in a typical drinking environment. We recruited 10 young adults with a history of heavy drinking to test our research app. During four consecutive Fridays and Saturdays, every hour from 8 p.m. to 12 a.m., they were prompted to use the app to report alcohol consumption and complete a 5-step straight-line walking task, during which 3-axis acceleration and angular velocity data was sampled at a frequency of 100 Hz. BAC for each subject was calculated. From sensor signals, 24 features were calculated using a sliding window technique, including energy, mean, and standard deviation. Using an artificial neural network (ANN), we performed regression analysis to define a model determining association between gait features and BACs. Part (70%) of the data was then used as a training dataset, and the results tested and validated using the rest of the samples. We evaluated different training algorithms for the neural network and the result showed that a Bayesian regularization neural network (BRNN) was the most efficient and accurate. Analyses support the use of the tandem gait task paired with our approach to reliably estimate BAC based on gait features. Results from this work could be useful in designing effective prevention interventions to reduce risky behaviors during periods of alcohol consumption.

  5. An Artificial Neural Network for Movement Pattern Analysis to Estimate Blood Alcohol Content Level

    Directory of Open Access Journals (Sweden)

    Pedram Gharani

    2017-12-01

    Full Text Available Impairments in gait occur after alcohol consumption, and, if detected in real-time, could guide the delivery of “just-in-time” injury prevention interventions. We aimed to identify the salient features of gait that could be used for estimating blood alcohol content (BAC level in a typical drinking environment. We recruited 10 young adults with a history of heavy drinking to test our research app. During four consecutive Fridays and Saturdays, every hour from 8 p.m. to 12 a.m., they were prompted to use the app to report alcohol consumption and complete a 5-step straight-line walking task, during which 3-axis acceleration and angular velocity data was sampled at a frequency of 100 Hz. BAC for each subject was calculated. From sensor signals, 24 features were calculated using a sliding window technique, including energy, mean, and standard deviation. Using an artificial neural network (ANN, we performed regression analysis to define a model determining association between gait features and BACs. Part (70% of the data was then used as a training dataset, and the results tested and validated using the rest of the samples. We evaluated different training algorithms for the neural network and the result showed that a Bayesian regularization neural network (BRNN was the most efficient and accurate. Analyses support the use of the tandem gait task paired with our approach to reliably estimate BAC based on gait features. Results from this work could be useful in designing effective prevention interventions to reduce risky behaviors during periods of alcohol consumption.

  6. A new method for estimating UV fluxes at ground level in cloud-free conditions

    Science.gov (United States)

    Wandji Nyamsi, William; Pitkänen, Mikko R. A.; Aoun, Youva; Blanc, Philippe; Heikkilä, Anu; Lakkala, Kaisa; Bernhard, Germar; Koskela, Tapani; Lindfors, Anders V.; Arola, Antti; Wald, Lucien

    2017-12-01

    A new method has been developed to estimate the global and direct solar irradiance in the UV-A and UV-B at ground level in cloud-free conditions. It is based on a resampling technique applied to the results of the k-distribution method and the correlated-k approximation of Kato et al. (1999) over the UV band. Its inputs are the aerosol properties and total column ozone that are produced by the Copernicus Atmosphere Monitoring Service (CAMS). The estimates from this new method have been compared to instantaneous measurements of global UV irradiances made in cloud-free conditions at five stations at high latitudes in various climates. For the UV-A irradiance, the bias ranges between -0.8 W m-2 (-3 % of the mean of all data) and -0.2 W m-2 (-1 %). The root mean square error (RMSE) ranges from 1.1 W m-2 (6 %) to 1.9 W m-2 (9 %). The coefficient of determination R2 is greater than 0.98. The bias for UV-B is between -0.04 W m-2 (-4 %) and 0.08 W m-2 (+13 %) and the RMSE is 0.1 W m-2 (between 12 and 18 %). R2 ranges between 0.97 and 0.99. This work demonstrates the quality of the proposed method combined with the CAMS products. Improvements, especially in the modeling of the reflectivity of the Earth's surface in the UV region, are necessary prior to its inclusion into an operational tool.

  7. 3D ultrasound estimation of the effective volume for popliteal block at the level of division.

    Science.gov (United States)

    Sala-Blanch, X; Franco, J; Bergé, R; Marín, R; López, A M; Agustí, M

    2017-03-01

    Local anaesthetic injection between the tibial and commmon peroneal nerves within connective tissue sheath results in a predictable diffusion and allows for a reduction in the volume needed to achieve a consistent sciatic popliteal block. Using 3D ultrasound volumetric acquisition, we quantified the visible volume in contact with the nerve along a 5cm segment. We included 20 consecutive patients scheduled for bunion surgery. Ultrasound guided popliteal block was performed using a posterior, out of plane approach at the level of división of the sciatic nerve. Thirty ml of mepivacaine 1.5% and levobupivacaine 0.5% were slowly injected while assessing the injection pressure and the diffusion of the local anaesthetic. Volumetric acquisition was performed before and after the block to quantify the the volume of the sciatic nerve and the volume of the surrounding hypoechoic halo contained inside the connective tissue in a 5cm segment. All blocks were successful within 20min after the injection. The total estimated volume contained inside the common connective tissue sheath was 6.8±2.6cm 3 . Of this, the volume of the halo sorrounding the nerve was 4.4±1.7cm 3 and the volume inside the sciatic nerve was 2.4±1.7cm 3 . The volume of local anaesthetic in close contact with the sciatic nerve can be estimated by volumetric acquisition. Our results suggest that the effective volume of local anaesthetic needed for a successful sciatic popliteal block could be reduced to less than 7ml. Copyright © 2016 Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor. Publicado por Elsevier España, S.L.U. All rights reserved.

  8. Environmental clustering of drug abuse in households and communities: multi-level modeling of a national Swedish sample.

    Science.gov (United States)

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

    2015-08-01

    Both epidemiological and genetically informative studies indicate that shared environmental influences contribute to resemblance in siblings for drug abuse (DA). To what degree do these influences arise from living in the same household versus residing in the same community? We performed a cross-classified multi-level logistic regression on all individuals born in Sweden 1975-1990 (N = 1558,654). We assessed the proportion of the total population variation in DA that was due to household versus community effects controlling for genetic resemblance. DA was assessed from medical, criminal and pharmacy records. Expressed as an intraclass correlation (ICC), the combined household/community effects accounted for ~8 % of the total population variation in DA. The variance attributed to the community was greater than that seen for household (4.5 versus 3.4 %). In males, the variance components were slightly larger and nearly equal at the community (5.3 %) and household level (5.1 %). In females, household effects (4.8 %) were stronger than those arising from the community (3.2 %). In the total population and among males, community effects on DA were somewhat more potent than household effects. However, in females, household effects on DA were stronger than community effects. In Sweden, shared environmental effects for DA arise both at the household and at the community level. Community effects on DA are more potent in males than in females.

  9. Tree-level imputation techniques to estimate current plot-level attributes in the Pacific Northwest using paneled inventory data

    Science.gov (United States)

    Bianca Eskelson; Temesgen Hailemariam; Tara Barrett

    2009-01-01

    The Forest Inventory and Analysis program (FIA) of the US Forest Service conducts a nationwide annual inventory. One panel (20% or 10% of all plots in the eastern and western United States, respectively) is measured each year. The precision of the estimates for any given year from one panel is low, and the moving average (MA), which is considered to be the default...

  10. Evidence from community level inputs to improve quality of care for maternal and newborn health: interventions and findings.

    Science.gov (United States)

    Lassi, Zohra S; Das, Jai K; Salam, Rehana A; Bhutta, Zulfiqar A

    2014-09-04

    Annually around 40 million mothers give birth at home without any trained health worker. Consequently, most of the maternal and neonatal mortalities occur at the community level due to lack of good quality care during labour and birth. Interventions delivered at the community level have not only been advocated to improve access and coverage of essential interventions but also to reduce the existing disparities and reaching the hard to reach. In this paper, we have reviewed the effectiveness of care delivered through community level inputs for improving maternal and newborn health outcomes. We considered all available systematic reviews published before May 2013 on the pre-defined community level interventions and report findings from 43 systematic reviews. Findings suggest that home visitation significantly improved antenatal care, tetanus immunization coverage, referral and early initiation of breast feeding with reductions in antenatal hospital admission, cesarean-section rates birth, maternal morbidity, neonatal mortality and perinatal mortality. Task shifting to midwives and community health workers has shown to significantly improve immunization uptake and breast feeding initiation with reductions in antenatal hospitalization, episiotomy, instrumental delivery and hospital stay. Training of traditional birth attendants as a part of community based intervention package has significant impact on referrals, early breast feeding, maternal morbidity, neonatal mortality, and perinatal mortality. Formation of community based support groups decreased maternal morbidity, neonatal mortality, perinatal mortality with improved referrals and early breast feeding rates. At community level, home visitation, community mobilization and training of community health workers and traditional birth attendants have the maximum potential to improve a range of maternal and newborn health outcomes. There is lack of data to establish effectiveness of outreach services, mass media

  11. Impact of sampling resolution on estimation of community-wide daily illicit drug use

    DEFF Research Database (Denmark)

    Ramin, Pedram; Baz Lomba, J. A.; Reid, M.

    It is a common approach to report daily community-wide drug consumption, based on single daily measurements of the influent from a treatment plant. This article suggests that neglecting diurnal variations of loads and flow can result in misestimating daily drug consumption.......It is a common approach to report daily community-wide drug consumption, based on single daily measurements of the influent from a treatment plant. This article suggests that neglecting diurnal variations of loads and flow can result in misestimating daily drug consumption....

  12. Community-Level Measures of Stroke Knowledge among Children: Findings from Hip Hop Stroke.

    Science.gov (United States)

    Simmons, Cailey; Noble, James M; Leighton-Herrmann, Ellyn; Hecht, Mindy F; Williams, Olajide

    2017-01-01

    Community-level determinants of stroke knowledge among children are unknown but could meaningfully impact public stroke education campaigns. We explored for associations between community- and school-level quality measures relative to baseline stroke knowledge among children participating in the Hip Hop Stroke program. Baseline stroke knowledge assessments were performed in 2839 fourth-, fifth-, and sixth-grade students (ages 9-11 years) from November 2005 to April 2014. Knowledge was assessed relative to school performance grade (SPG, graded A-F; a school-level measure determined by the New York City [NYC] Department of Education) and economic need index (ENI, range: 0-2; a community-level, within-school measure of subsidized housing and meals with higher scores indicating more socioeconomic distress). Schools studied included those with SPG = B (n = 196), SPG = C (n = 1590), and SPG = D (n = 1053) and mean ENI = .85 (standard deviation: .23). A composite assessment of knowledge, including 4 stroke symptoms (blurred vision, facial droop, sudden headache, and slurred speech), was conducted consistently since 2006. Overall, students correctly identified a mean of 1.74 stroke symptoms (95% confidence interval: 1.70-1.79; possible range: 0-4, expected value of chance response alone or no knowledge = 2). For quartiles of ENI, mean knowledge scores are as follows: ENI Q1  = 2.00, ENI Q2  = 2.09, ENI Q3  = 1.46, and ENI Q4  = 1.56 (ENI Q3 and ENI Q4 versus ENI Q1 , P < .001). For SPG, SPG = B schools: 2.09, SPG = C: 1.83, and SPG = D: 1.56 (SPG = C and SPG = D versus SPG = B schools, P ≤ .05). Children's stroke knowledge was lowest in NYC communities with greater economic need and lower school performance. These findings could guide stroke education campaign implementation strategies. Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.

  13. Community-level assessment of dental plaque bacteria susceptibility to triclosan over 19 years

    OpenAIRE

    Haraszthy, Violet I; Sreenivasan, Prem K; Zambon, Joseph J

    2014-01-01

    Background Triclosan is a broad-spectrum antimicrobial agent used in toothpaste to reduce dental plaque, gingivitis and oral malodor. This community-level assessment evaluated the susceptibility of dental plaque bacteria to triclosan in samples collected over 19 years. Methods A total of 155 dental plaque samples were collected at eleven different times over 19 years from 58 adults using 0.3% triclosan, 2% copolymer, 0.243% sodium fluoride toothpaste and from 97 adults using toothpaste withou...

  14. Tracking How Science Resources Result in Educator- and Community-Level Outcomes

    Science.gov (United States)

    Dusenbery, P.; Harold, J. B.; Fitzhugh, G.; LaConte, K.; Holland, A.

    2017-12-01

    Learners frequently need to access increasingly complex information to help them understand our changing world. More and more libraries are transforming themselves into places where learners not only access STEM information, but interact with professionals and undertake hands-on learning. Libraries are beginning to position themselves as part of learning ecosystems that contribute to a collective impact on the community. Traveling STEM exhibits are catalyzing these partnerships and engaging students, families, and adults in repeat visits through an accessible venue: their public library. This talk will explore impacts from two STAR Library Network's (STAR_Net) exhibitions (Discover Earth and Discover Tech) on partnerships, the circulation of STEM resources, and the engagement of learners. The STAR_Net project's summative evaluation utilized mixed methods to investigate project implementation and its outcomes. Methods included pre- and post-exhibit surveys administered to staff from each library that hosted the exhibits; interviews with staff from host libraries; patron surveys; exhibit-related circulation records; web metrics regarding the online STAR_Net community of practice; and site visits. The latter provides a more complete view of impacts on the community, including underserved audiences. NASA@ My Library is a new STAR_Net initiative, which provides STEM facilitation kits, training, and other resources to 75 libraries nationwide. Initial results will be presented that show high levels of engagement by librarians and strong response rate from patrons on surveys.

  15. Community-level physiological profiles of microorganisms inhabiting soil contaminated with heavy metals

    Science.gov (United States)

    Kuźniar, Agnieszka; Banach, Artur; Stępniewska, Zofia; Frąc, Magdalena; Oszust, Karolina; Gryta, Agata; Kłos, Marta; Wolińska, Agnieszka

    2018-01-01

    The aim of the study was to assess the differences in the bacterial community physiological profiles in soils contaminated with heavy metals versus soils without metal contaminations. The study's contaminated soil originated from the surrounding area of the Szopienice non-ferrous metal smelter (Silesia Region, Poland). The control was soil unexposed to heavy metals. Metal concentration was appraised by flame atomic absorption spectrometry, whereas the the community-level physiological profile was determined with the Biolog EcoPlatesTM system. The soil microbiological activity in both sites was also assessed via dehydrogenase activity. The mean concentrations of metals (Cd and Zn) in contaminated soil samples were in a range from 147.27 to 12265.42 mg kg-1, and the heavy metal contamination brought about a situation where dehydrogenase activity inhibition was observed mostly in the soil surface layers. Our results demonstrated that there is diversity in the physiological profiles of microorganisms inhabiting contaminated and colntrol soils; therefore, for assessment purposes, these were treated as two clusters. Cluster I included colntrol soil samples in which microbial communities utilised most of the available substrates. Cluster II incorporated contaminated soil samples in which a smaller number of the tested substrates was utilised by the contained microorganisms. The physiological profiles of micro-organisms inhabiting the contaminated and the colntrol soils are distinctly different.

  16. An assessment of ozone levels, UV radiation and their occupational health hazard estimation during photocopying operation

    Energy Technology Data Exchange (ETDEWEB)

    Singh, Bhupendra Pratap, E-mail: bpsingh0783@gmail.com; Kumar, Amit; Singh, Deepak; Punia, Monika; Kumar, Krishan; Jain, Vinod Kumar

    2014-06-30

    Highlights: • First quantitative report of ozone level and UV radiation emission from photocopier. • Ozone production is directly proportional with intensity of photocopy operation. • Ozone level from ground floor is significantly higher than basement photocopier. • Ozone production and UV radiation studied has less correlation during photocopy. • Health hazard issue has been evaluated for effect of UV radiation in terms of SED. - Abstract: This study investigates the levels of ozone concentration along with an ultraviolet (UV) and visible spectral radiation at eight photocopy centers in an academic institute, Delhi. Sampling was done in two types of locations, i.e., basement photocopy centers (BPC) and ground floor photocopy centers (GPC) for 8 h. Measurements of levels of ozone, UV and visible radiation were done by ozone analyzer, UV radiometer and Field spectra instrument, respectively. Results show that the hourly mean concentration of ozone was observed to be in the range of 1.8–10.0 ppb and 5.3–45.8 ppb for BPC and GPC, respectively. In terms UV radiations, energy lies between 5.0 × 10{sup −3} and 7.0 × 10{sup −3} mW/cm{sup 2} for ultraviolet A (UVA), 1.0 × 10{sup −3} and 2.0 × 10{sup −3} mW/cm{sup 2} for ultraviolet B (UVB) and 6.0 × 10{sup −3} and 8.0 × 10{sup −3} mW/cm{sup 2} for ultraviolet C (UVC). Correlation between the UV radiations and ozone production observed was statistically insignificant. To know the health hazard occurred to the workers, the standard erythema dose (SED) value was calculated for emitting UV radiation. The SED was estimated to be in the range of 0.02–0.04 and 0.02–0.32 for direct and indirect methods which is less than the guideline prescribed by Commission Internationale del’ Eclairage (CIE). In nutshell, person involved in photocopy operation for their livelihood must be trained and should have knowledge for the long term gradual build up health problems due to ozone and UV production from

  17. Sunlight-exposed biofilm microbial communities are naturally resistant to chernobyl ionizing-radiation levels.

    Directory of Open Access Journals (Sweden)

    Marie Ragon

    Full Text Available BACKGROUND: The Chernobyl accident represents a long-term experiment on the effects of exposure to ionizing radiation at the ecosystem level. Though studies of these effects on plants and animals are abundant, the study of how Chernobyl radiation levels affect prokaryotic and eukaryotic microbial communities is practically non-existent, except for a few reports on human pathogens or soil microorganisms. Environments enduring extreme desiccation and UV radiation, such as sunlight exposed biofilms could in principle select for organisms highly resistant to ionizing radiation as well. METHODOLOGY/PRINCIPAL FINDINGS: To test this hypothesis, we explored the diversity of microorganisms belonging to the three domains of life by cultivation-independent approaches in biofilms developing on concrete walls or pillars in the Chernobyl area exposed to different levels of radiation, and we compared them with a similar biofilm from a non-irradiated site in Northern Ireland. Actinobacteria, Alphaproteobacteria, Bacteroidetes, Acidobacteria and Deinococcales were the most consistently detected bacterial groups, whereas green algae (Chlorophyta and ascomycete fungi (Ascomycota dominated within the eukaryotes. Close relatives to the most radio-resistant organisms known, including Rubrobacter species, Deinococcales and melanized ascomycete fungi were always detected. The diversity of bacteria and eukaryotes found in the most highly irradiated samples was comparable to that of less irradiated Chernobyl sites and Northern Ireland. However, the study of mutation frequencies in non-coding ITS regions versus SSU rRNA genes in members of a same actinobacterial operational taxonomic unit (OTU present in Chernobyl samples and Northern Ireland showed a positive correlation between increased radiation and mutation rates. CONCLUSIONS/SIGNIFICANCE: Our results show that biofilm microbial communities in the most irradiated samples are comparable to non-irradiated samples in

  18. Improved rapid magnitude estimation for a community-based, low-cost MEMS accelerometer network

    Science.gov (United States)

    Chung, Angela I.; Cochran, Elizabeth S.; Kaiser, Anna E.; Christensen, Carl M.; Yildirim, Battalgazi; Lawrence, Jesse F.

    2015-01-01

    Immediately following the Mw 7.2 Darfield, New Zealand, earthquake, over 180 Quake‐Catcher Network (QCN) low‐cost micro‐electro‐mechanical systems accelerometers were deployed in the Canterbury region. Using data recorded by this dense network from 2010 to 2013, we significantly improved the QCN rapid magnitude estimation relationship. The previous scaling relationship (Lawrence et al., 2014) did not accurately estimate the magnitudes of nearby (<35  km) events. The new scaling relationship estimates earthquake magnitudes within 1 magnitude unit of the GNS Science GeoNet earthquake catalog magnitudes for 99% of the events tested, within 0.5 magnitude units for 90% of the events, and within 0.25 magnitude units for 57% of the events. These magnitudes are reliably estimated within 3 s of the initial trigger recorded on at least seven stations. In this report, we present the methods used to calculate a new scaling relationship and demonstrate the accuracy of the revised magnitude estimates using a program that is able to retrospectively estimate event magnitudes using archived data.

  19. Risk estimation and decision making: the health effects on populations of exposure to low levels of ionizing radiation

    International Nuclear Information System (INIS)

    Fabrikant, J.I.

    1982-01-01

    Presented is a background for an understanding of the potential health effects in populations exposed to low-level radiation. Discussed is the knowledge about the health effects of low-level radiation. Comments on how the risks of radiation-induced cancer and genetically-related ill-health in man may be estimated, the sources of the scientific and epidemiological data, the dose-response models used, and the uncertainties which limit precise estimates of excess risks from radiation. Also discussed are the implications of numerical risk estimation for radiation protection and decision-making for public health policy

  20. A new modeling approach estimates the relative importance of different community assembly processes

    NARCIS (Netherlands)

    van der Plas, Fons; Janzen, Thijs; Ordonez, Alejandro; Fokkema, Wimke; Reinders, Josephine; Etienne, Rampal S.; Olff, Han

    The relative importance of niche-based (e.g., competitive or stress-based) and stochastic (e.g., random dispersal) processes in structuring ecological communities is frequently analyzed by studying trait distributions of co-occurring species. While filtering processes, such as the exclusion of

  1. Comparative responses of river biofilms at the community level to common organic solvent and herbicide exposure.

    Science.gov (United States)

    Paule, A; Roubeix, V; Swerhone, G D W; Roy, J; Lauga, B; Duran, R; Delmas, F; Paul, E; Rols, J L; Lawrence, J R

    2016-03-01

    Residual pesticides applied to crops migrate from agricultural lands to surface and ground waters. River biofilms are the first aquatic non-target organisms which interact with pesticides. Therefore, ecotoxicological experiments were performed at laboratory scale under controlled conditions to investigate the community-level responses of river biofilms to a chloroacetanilide herbicide (alachlor) and organic solvent (methanol) exposure through the development referenced to control. Triplicate rotating annular bioreactors, inoculated with river water, were used to cultivate river biofilms under the influence of 1 and 10 μg L(-1) of alachlor and 25 mg L(-1) of methanol. For this purpose, functional (thymidine incorporation and carbon utilization spectra) and structural responses of microbial communities were assessed after 5 weeks of development. Structural aspects included biomass (chlorophyll a, confocal laser scanning microscopy) and composition (fluor-conjugated lectin binding, molecular fingerprinting, and diatom species composition). The addition of alachlor resulted in a significant reduction of bacterial biomass at 1 μg L(-1), whereas at 10 μg L(-1), it induced a significant reduction of exopolymer lectin binding, algal, bacterial, and cyanobacterial biomass. However, there were no changes in biofilm thickness or thymidine incorporation. No significant difference between the bacterial community structures of control and alachlor-treated biofilms was revealed by terminal restriction fragment length polymorphism (T-RFLP) analyses. However, the methanol-treated bacterial communities appeared different from control and alachlor-treated communities. Moreover, methanol treatment resulted in an increase of bacterial biomass and thymidine incorporation as well. Changes in dominant lectin binding suggested changes in the exopolymeric substances and community composition. Chlorophyll a and cyanobacterial biomass were also altered by methanol. This study suggested

  2. Global, regional and national levels and trends of preterm birth rates for 1990 to 2014: protocol for development of World Health Organization estimates.

    Science.gov (United States)

    Vogel, Joshua P; Chawanpaiboon, Saifon; Watananirun, Kanokwaroon; Lumbiganon, Pisake; Petzold, Max; Moller, Ann-Beth; Thinkhamrop, Jadsada; Laopaiboon, Malinee; Seuc, Armando H; Hogan, Daniel; Tunçalp, Ozge; Allanson, Emma; Betrán, Ana Pilar; Bonet, Mercedes; Oladapo, Olufemi T; Gülmezoglu, A Metin

    2016-06-17

    The official WHO estimates of preterm birth are an essential global resource for assessing the burden of preterm birth and developing public health programmes and policies. This protocol describes the methods that will be used to identify, critically appraise and analyse all eligible preterm birth data, in order to develop global, regional and national level estimates of levels and trends in preterm birth rates for the period 1990 - 2014. We will conduct a systematic review of civil registration and vital statistics (CRVS) data on preterm birth for all WHO Member States, via national Ministries of Health and Statistics Offices. For Member States with absent, limited or lower-quality CRVS data, a systematic review of surveys and/or research studies will be conducted. Modelling will be used to develop country, regional and global rates for 2014, with time trends for Member States where sufficient data are available. Member States will be invited to review the methodology and provide additional eligible data via a country consultation before final estimates are developed and disseminated. This research will be used to generate estimates on the burden of preterm birth globally for 1990 to 2014. We invite feedback on the methodology described, and call on the public health community to submit pertinent data for consideration. Registered at PROSPERO CRD42015027439 CONTACT: pretermbirth@who.int.

  3. Sensitivity of GRACE-derived estimates of groundwater-level changes in southern Ontario, Canada

    Science.gov (United States)

    Hachborn, Ellen; Berg, Aaron; Levison, Jana; Ambadan, Jaison Thomas

    2017-12-01

    Amidst changing climates, understanding the world's water resources is of increasing importance. In Ontario, Canada, low water conditions are currently assessed using only precipitation and watershed-based stream gauges by the Conservation Authorities in Ontario and the Ministry of Natural Resources and Forestry. Regional groundwater-storage changes in Ontario are not currently measured using satellite data by research institutes. In this study, contributions from the Gravity Recovery and Climate Experiment (GRACE) data are compared to a hydrogeological database covering southern Ontario from 2003 to 2013, to determine the suitability of GRACE total water storage estimates for monitoring groundwater storage in this location. Terrestrial water storage data from GRACE were used to determine monthly groundwater storage (GWS) anomaly values. GWS values were also determined by multiplying groundwater-level elevations (from the Provincial Groundwater Monitoring Network wells) by specific yield. Comparisons of GRACE-derived GWS to well-based GWS data determined that GRACE is sufficiently sensitive to obtain a meaningful signal in southern Ontario. Results show that GWS values produced by GRACE are useful for identifying regional changes in groundwater storage in areas with limited available hydrogeological characterization data. Results also indicate that GRACE may have an ability to forecast changes in groundwater storage, which will become useful when monitoring climate shifts in the near future.

  4. Estimating the population dose from nuclear medicine examinations towards establishing diagnostic reference levels

    International Nuclear Information System (INIS)

    Niksirat, Fatemeh; Monfared, Ali Shabestani; Deevband, Mohammad Reza; Amiri, Mehrangiz; Gholami, Amir

    2016-01-01

    This study conducted a review on nuclear medicine (NM) services in Mazandaran Province with a view to establish adult diagnostic reference levels (DRLs) and provide updated data on population radiation exposure resulting from diagnostic NM procedures. The data were collected from all centers in all cities of Mazandaran Province in the North of Iran from March 2014 to February 2015. The 75 th percentile of the distribution and the average administered activity (AAA) were calculated and the average effective dose per examination, collective effective dose to the population and annual effective dose per capita were estimated using dose conversion factors. The gathered data were analyzed via SPSS (version 18) software using descriptive statistics. Based on the data of this study, the collective effective dose was 95.628 manSv, leading to a mean effective dose of 0.03 mSv per capita. It was also observed that the myocardial perfusion was the most common procedure (50%). The 75 th percentile of the distribution of administered activity (AA) represents the DRL. The AAA and the 75 th percentile of the distribution of AA are slightly higher than DRL of most European countries. Myocardial perfusion is responsible for most of the collective effective dose and it is better to establish national DRLs for myocardial perfusion and review some DRL values through the participation of NM specialists in the future

  5. Ecological nanotoxicology: integrating nanomaterial hazard considerations across the subcellular, population, community, and ecosystems levels.

    Science.gov (United States)

    Holden, Patricia A; Nisbet, Roger M; Lenihan, Hunter S; Miller, Robert J; Cherr, Gary N; Schimel, Joshua P; Gardea-Torresdey, Jorge L

    2013-03-19

    Research into the health and environmental safety of nanotechnology has seriously lagged behind its emergence in industry. While humans have often adopted synthetic chemicals without considering ancillary consequences, the lessons learned from worldwide pollution should motivate making nanotechnology compatible with environmental concerns. Researchers and policymakers need to understand exposure and harm of engineered nanomaterials (ENMs), currently nanotechnology's main products, to influence the ENM industry toward sustainable growth. Yet, how should research proceed? Standard toxicity testing anchored in single-organism, dose-response characterizations does not adequately represent real-world exposure and receptor scenarios and their complexities. Our approach is different: it derives from ecology, the study of organisms' interactions with each other and their environments. Our approach involves the characterization of ENMs and the mechanistic assessment of their property-based effects. Using high throughput/content screening (HTS/HCS) with cells or environmentally-relevant organisms, we measure the effects of ENMs on a subcellular or population level. We then relate those effects to mechanisms within dynamic energy budget (DEB) models of growth and reproduction. We reconcile DEB model predictions with experimental data on organism and population responses. Finally, we use microcosm studies to measure the potential for community- or ecosystem-level effects by ENMs that are likely to be produced in large quantities and for which either HTS/HCS or DEB modeling suggest their potential to harm populations and ecosystems. Our approach accounts for ecological interactions across scales, from within organisms to whole ecosystems. Organismal ENM effects, if propagated through populations, can alter communities comprising multiple populations (e.g., plant, fish, bacteria) within food webs. Altered communities can change ecosystem services: processes that cycle carbon

  6. Estimation of prevalence of sarcopenia by using a new bioelectrical impedance analysis in Chinese community-dwelling elderly people.

    Science.gov (United States)

    Wang, Hui; Hai, Shan; Cao, Li; Zhou, Jianghua; Liu, Ping; Dong, Bi-Rong

    2016-12-28

    The aim of the present study was to validate the usefulness of the new octapolar multifrequency bioelectrical impedance analysis (BIA) for assessment of appendicular skeletal muscle mass (ASM) by comparing it with that of dual-energy X-ray absorptiometry (DXA) and to investigate the prevalence of sarcopenia in Chinese community-dwelling elderly according to Asian Working Group for Sarcopenia (AWGS) definition. A cross-sectional study was conducted in communities of Chengdu, China. A total of 944 community-dwelling elderly adults aged ≥60 years were included. ASM was measured by using DXA as a criterion method to validate a standing eight-electrode multifrequency BIA (InBody 720), followed by a further estimation of the prevalence of sarcopenia according the AWGS definition. In the Bland-Altman analysis, no significant difference was found between DXA and BIA based on the ASM measurements. The prevalence of AWGS-defined sarcopenia was 12.5% in the elderly women and 8.2% in the elderly men. BIA is suitable for body composition monitoring (ASM) in elderly Chinese as a fast, noninvasive, and convenient method; therefore, it may be a better choice in large epidemiological studies in the Chinese population. The prevalence of AWGS-defined sarcopenia was approximately 10.4% and increased with age in the Chinese community-dwelling elderly in this study.

  7. Ethical Research Practice or Undue Influence? Symbolic Power in Community- and Individual-Level Informed Consent Processes in Community-Based Participatory Research in Swaziland.

    Science.gov (United States)

    Brear, Michelle

    2018-03-01

    In community-based participatory research (CBPR), community-level consent is assumed to enhance ethical rigor, when obtained prior to individual informed consent. However, community leaders' permission to conduct research may influence individuals' agency to decline participation. This article presents findings of a Bourdieusian analysis of ethnographic data documenting CBPR in rural Swaziland. The findings reveal that the "symbolic power" of leaders who provide community-level consent constrains individual agency and reproduces existing relations of power, if individual informed consent is simply a procedure. However, when informed consent is a process that introduces notions of autonomy and rights, it can disrupt power relations. Implications for ethical CBPR practice, and ethnography's value for developing theory from real-world research ethics practice, are discussed.

  8. The correlation between albumin levels with 30 days mortality in community acquired pneumonia patients

    Science.gov (United States)

    Damayanti, N.; Abidin, A.; Keliat, E. N.

    2018-03-01

    The assessment of level severity ofCommunity-Acquired Pneumonia (CAP) patient at the early admission to the hospital is critical because it will determine the severity of the disease and the subsequent management of the plan. Albumin can be used as a biomarker to assess the severity of CAP. To identify the correlation between albumin level at early admission in hospital with 30-day mortality in patients with CAP. It was a cohort study. We had examined of 50 CAP subject with theCURB-65 score (Confusion, Urea, Respiratory rate, Blood pressure, Age >65years), albumin, sputum culture at the early admission at Emergency Room (ER). Then, albumin levels associated with 30-day mortality was assessed using Chi-Square test. Analysis with chi-square test found a significant correlation between albumin level with 30-day mortality (p=0.001) and Relative Risk was 2.376 (95% CI 1.515-3.723). It means that patients with CAP who has severe hypoalbuminemia have a higher risk ofdying in 30 days with 2,376 times more significant than patients with mild to moderate hypoalbuminemia. In conclusion, albumin levels at early admission in the hospital correlate with 30-day mortality in CAP patients.

  9. [The Community Care as a model of social and health integration at the local level].

    Science.gov (United States)

    Ridolfi, Luciana

    2013-01-01

    The article develops a hypothesis for improving primary care services through health care solutions that can exceed the models in use (essentially hierarchical and based on tasks) in favor of new relational, multi-sectoral and network approaches that could privilege the integration of social and health services at the regional and district level (Community care). A qualitative methodological approach which analyzes the role of social networks in Community care, some national and international experiences of primary care models and the evaluation of the different role given to primary care both in the hierarchical-pyramidal approach and in the horizontal one (network approach). Some Italian regions are experimenting effective organizational models of care such as Primary Care Teams, Primary Care Units, Regional teams, Departments of Primary Care, Houses of Health ... At international level, it should be mentioned the Chronic Care Model (CCM), recently identified by WHO as a reference model, and adopted by the Tuscany Region (Italy). People-centered health care projects need shared interventions by competent and functional multiprofessional teams: the best outcome for the patient depends on the good interaction between individuals. It's necessary that relationships between members of the group are based on interdependence, integration and consistency to avoid risks of group illusion.

  10. Community Level Physiological Profiles (CLPP), Characterization and Microbial Activity of Soil Amended with Dairy Sewage Sludge

    Science.gov (United States)

    Frąc, Magdalena; Oszust, Karolina; Lipiec, Jerzy

    2012-01-01

    The aim of the present work was to assess the influence of organic amendment applications compared to mineral fertilization on soil microbial activity and functional diversity. The field experiment was set up on a soil classified as an Eutric Cambisol developed from loess (South-East Poland). Two doses of both dairy sewage sludge (20 Mg·ha−1 and 26 Mg·ha−1) and of mineral fertilizers containing the same amount of nutrients were applied. The same soil without any amendment was used as a control. The soil under undisturbed native vegetation was also included in the study as a representative background sample. The functional diversity (catabolic potential) was assessed using such indices as Average Well Color Development (AWCD), Richness (R) and Shannon–Weaver index (H). These indices were calculated, following the community level physiological profiling (CLPP) using Biolog Eco Plates. Soil dehydrogenase and respiratory activity were also evaluated. The indices were sensitive enough to reveal changes in community level physiological profiles due to treatment effects. It was shown that dairy sewage amended soil was characterized by greater AWCD, R, H and dehydrogenase and respiratory activity as compared to control or mineral fertilized soil. Analysis of variance (ANOVA) and principal component analysis (PCA) were used to depict the differences of the soil bacterial functional diversity between the treatments. PMID:22737006

  11. Intention to use sport concussion guidelines among community-level coaches and sports trainers.

    Science.gov (United States)

    Newton, Joshua D; White, Peta E; Ewing, Michael T; Makdissi, Michael; Davis, Gavin A; Donaldson, Alex; Sullivan, S John; Seward, Hugh; Finch, Caroline F

    2014-09-01

    Sporting bodies have developed guidelines for managing community-level players with suspected concussion in response to international consensus statements on concussion in sport. The purpose of this study was to examine the factors that influence the intended use of concussion guidelines among community-level coaches and sports trainers from two popular football codes in Australia: Australian football and rugby league. Cross-sectional survey. The survey, based on an extended theory of planned behaviour model, was completed by 183 Australian football coaches, 121 Australian football sports trainers, 171 rugby league coaches, and 142 rugby league sports trainers. Personal norms and self-efficacy were significant predictors of intention to use concussion guidelines, although the relationship between self-efficacy and intention was stronger among Australian football coaches than rugby league coaches. Analysis of the salient beliefs that underpin self-efficacy found that coaches, irrespective of football code, felt less familiar (χ(2)=25.70, psports trainers in using the concussion guidelines. At the same time, Australian football personnel, irrespective of their team role, felt that they had insufficient time (χ(2)=8.04, psport concussion guidelines should focus on enhancing self-efficacy and leveraging personal norms. Increasing coaches' familiarity and experience in using the concussion guidelines would also be warranted, as would finding ways to overcome the perceived time and resource constraints identified among Australian football personnel. Copyright © 2013 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

  12. Decreasing Stoichiometric Resource Quality Drives Compensatory Feeding across Trophic Levels in Tropical Litter Invertebrate Communities.

    Science.gov (United States)

    Jochum, Malte; Barnes, Andrew D; Ott, David; Lang, Birgit; Klarner, Bernhard; Farajallah, Achmad; Scheu, Stefan; Brose, Ulrich

    2017-07-01

    Living organisms are constrained by both resource quantity and quality. Ecological stoichiometry offers important insights into how the elemental composition of resources affects their consumers. If resource quality decreases, consumers can respond by shifting their body stoichiometry, avoiding low-quality resources, or up-regulating feeding rates to maintain the supply of required elements while excreting excess carbon (i.e., compensatory feeding). We analyzed multitrophic consumer body stoichiometry, biomass, and feeding rates along a resource-quality gradient in the litter of tropical forest and rubber and oil-palm plantations. Specifically, we calculated macroinvertebrate feeding rates based on consumer metabolic demand and assimilation efficiency. Using linear mixed effects models, we assessed resource-quality effects on macroinvertebrate detritivore and predator communities. We did not detect shifts in consumer body stoichiometry or decreases in consumer biomass in response to declining resource quality, as indicated by increasing carbon-to-nitrogen ratios. However, across trophic levels, we found a strong indication of decreasing resource quality leading to increased consumer feeding rates through altered assimilation efficiency and community body size structure. Our study reveals the influence of resource quality on multitrophic consumer feeding rates and suggests compensatory feeding to be more common across consumer trophic levels than was formerly known.

  13. The Clinical Utility of Serum YKL-40 Levels in Community Acquired Pneumonia

    Directory of Open Access Journals (Sweden)

    Halit Cınarka

    2015-01-01

    Full Text Available Introduction: We aimed to investigate the changes in blood levels of YKL-40 in patients hospitalized with a diagnosis of community acquired pneumonia (CAP before treatment and on the 7th day of treatment and to determine whether this can be used as a diagnostic and prognostic marker in the disease.   Methodology: Sixty-two subjects including 40 with CAP and 22 healthy as a control group were enrolled to the study. Serum YKL-40 levels were measured in patients with CAP before treatment and on the seventh day of the treatment. Degrees of severity of pneumonia were evaluated according to CURB-65 and the Pneumonia Severity Index (PSI.   Results: Mean serum YKL-40 levels of 89.24±98.67 ng/ml and 74.37±56.28 ng/ml were measured on the 1st and 7th days, respectively. The difference between two measurements was significant (p=0.003. A significant difference was also determined in serum YKL-40 level between control group and patient with CAP group on 1st and 7th days (p=0.001 and p<0.001, respectively. PSI and CURB-65 scores were not correlated with serum YKL-40 levels in patients with CAP.   Conclusion: The results show higher blood YKL-40 levels in patients in the CAP group compared to the controls. Elevated YKL-40 levels in blood specimens at the start of treatment in our pneumonia group, followed by a decrease one week later, may be regarded as evidence that blood YKL-40 levels can be used as an inflammation marker in clinical practice.   Keywords: Pneumonia; YKL-40; C-reactive protein

  14. Benthic O-2 uptake of two cold-water coral communities estimated with the non-invasive eddy correlation technique

    DEFF Research Database (Denmark)

    Rovelli, Lorenzo; Attard, Karl M.; Bryant, Lee D.

    2015-01-01

    times higher than the global mean for soft sediment communities at comparable depths. The measurements document the importance of CWC communities for local and regional carbon cycling and demonstrate that the EC technique is a valuable tool for assessing rates of benthic O2 uptake in such complex...... between 5 and 46 mmol m(-2) d(-1), mainly depending on the ambient flow characteristics. The average uptake rate estimated from the similar to 24 h long deployments amounted to 27.8 +/- 2.3 mmol m(-2) d(-1) at Mingulay and 24.8 +/- 2.6 mmol m(-2) d(-1) at Stjernsund (mean +/- SE). These rates are 4 to 5...

  15. Estimated Infant Exposure to Enantiomer-Specific Methadone Levels in Breastmilk

    Science.gov (United States)

    Perel, James M.; Helsel, Joseph C.; Hanusa, Barbara H.; Thompson, Matthew; Wisner, Katherine L.

    2011-01-01

    Abstract Background and Objectives Breastfeeding, a public health priority, improves outcomes for infants. Methadone is dispensed as a racemic mixture; R-methadone is the active enantiomer. Pharmacologic data for R-methadone in breastmilk could improve risk–benefit decision-making for treatment of lactating women. This study estimated infant exposure to R- and S-methadone via breastmilk by theoretic infant dose (TID) and relative infant dose (RID) and reported the milk-to-maternal plasma (M/P) ratio. Methods Women treated with methadone doses of 40–200 mg/day (mean, 102 mg/day) provided concomitantly collected plasma and breastmilk samples 1–6 days after delivery. Most (16 of 20) samples were taken at the time of peak maternal plasma levels; thus infant exposure estimates are for maximum possible exposure. Concentrations of R- and S-methadone were measured in maternal plasma and breastmilk; M/P ratio, TID, and RID were calculated for each enantiomer and total methadone. Results The 20 participants were 18–38 years old and publicly insured; a quarter did not complete high school, and only one was not white. R-Methadone concentration was 1.3–3.0 times that of S-methadone in all breastmilk samples. The mean (SD) R-, S-, and total methadone M/P ratios were 0.52 (0.28), 0.28 (0.15), and 0.40 (0.21), respectively. Mean (range) R-, S-, and total methadone TID were 0.02 mg/kg/day (0.004–0.099), 0.013 mg/kg/day (0.002–0.071), and 0.033 mg/kg/day (0.006–0.170), respectively. Mean (range) RID of R-, S-, and total methadone were 2.7% (0.7–10.1%), 1.6% (0.3–7.2%), and 2.1% (0.52–8.8%), respectively. Conclusions R-Methadone is found in higher concentrations than S-methadone in breastmilk. Even at high methadone doses, breastmilk methadone concentrations were relatively low and support American Academy of Pediatrics recommendations that dose should not be a factor in determining whether women on methadone breastfeed. PMID:21348770

  16. Discovering Perceptions of the Essence of College-Level Writing: Transcendental Phenomenological Inquiry in a Midwestern Community College

    Science.gov (United States)

    Jones, Nathan B.

    2016-01-01

    The perceptions of six community college faculty members about the qualities of college-level writing were explored in a series of guided interviews conducted at Prairie Community College (a pseudonym) located in the central time zone of the United States. The study examined the perceptions of the six faculty members with regard to important…

  17. Estimation of Missing Observations in Two-Level Split-Plot Designs

    DEFF Research Database (Denmark)

    Almimi, Ashraf A.; Kulahci, Murat; Montgomery, Douglas C.

    2008-01-01

    Inserting estimates for the missing observations from split-plot designs restores their balanced or orthogonal structure and alleviates the difficulties in the statistical analysis. In this article, we extend a method due to Draper and Stoneman to estimate the missing observations from unreplicated...... to the number of the missing observations. These estimates are inserted into the design table and the estimates for the remaining effects (or alias chains of effects as the case with FFSP designs) are plotted on two half-normal plots: one for the whole-plot effects and the other for the subplot effects...

  18. Accuracy of microbial community diversity estimated by closed- and open-reference OTUs

    Directory of Open Access Journals (Sweden)

    Robert C. Edgar

    2017-10-01

    Full Text Available Next-generation sequencing of 16S ribosomal RNA is widely used to survey microbial communities. Sequences are typically assigned to Operational Taxonomic Units (OTUs. Closed- and open-reference OTU assignment matches reads to a reference database at 97% identity (closed, then clusters unmatched reads using a de novo method (open. Implementations of these methods in the QIIME package were tested on several mock community datasets with 20 strains using different sequencing technologies and primers. Richness (number of reported OTUs was often greatly exaggerated, with hundreds or thousands of OTUs generated on Illumina datasets. Between-sample diversity was also found to be highly exaggerated in many cases, with weighted Jaccard distances between identical mock samples often close to one, indicating very low similarity. Non-overlapping hyper-variable regions in 70% of species were assigned to different OTUs. On mock communities with Illumina V4 reads, 56% to 88% of predicted genus names were false positives. Biological inferences obtained using these methods are therefore not reliable.

  19. Estimating problem drinking among community pharmacy customers: what did pharmacists think of the method?

    Science.gov (United States)

    Sheridan, Janie; Smart, Ros; McCormick, Ross

    2010-10-01

    Community pharmacists have successfully been involved in brief interventions in many areas of health, and also provide services to substance misusers. There has been recent interest in community pharmacists providing screening and brief interventions (SBI) to problem drinkers. The aim of this study was to develop a method for measuring prevalence of risky drinking among community pharmacy customers and to explore acceptability of this method to participating pharmacists. Forty-three pharmacies (from 80 randomly selected) in New Zealand agreed to participate in data collection. On a set, single, randomly allocated day during one week, pharmacies handed out questionnaires about alcohol consumption, and views on pharmacists providing SBI, to their customers. At the end of the data collection period semi-structured telephone interviews were carried out with participating pharmacists. Pharmacists were generally positive about the way the study was carried out, the support and materials they were provided with, and the ease of the data collection process. They reported few problems with customers and the majority of pharmacists would participate again. The method developed successfully collected data from customers and was acceptable to participating pharmacists. This method can be adapted to collecting data on prevalence of other behaviours or medical conditions and assessing customer views on services. © 2010 The Authors. IJPP © 2010 Royal Pharmaceutical Society of Great Britain.

  20. Individual and school level effects of perceived harm, perceived availability, and community size on marijuana use among 12th-grade students: a random effects model.

    Science.gov (United States)

    Swaim, Randall C

    2003-06-01

    A hierarchical linear model was used to estimate the individual and school level effects for marijuana use among a national sample of 12th-grade students. School effects were small in comparison to individual level effects, accounting for 2.9% of the variance in marijuana use. At the individual level, perceived harm, perceived availability, and their interaction were significant predictors, each of which varied randomly across schools. Among two school-level predictors, the normative environment for perceived harm was not significant, but normative perceived availability predicted level of marijuana use. The effect of perceived availability on marijuana use was stronger in larger, compared to smaller communities. Results are discussed in light of the use of random regression methods for identifying school-specific patterns of risk and protection for prevention planning.

  1. Metazooplankton community structure, feeding rate estimates, and hydrography in a meltwater-influenced Greenlandic fjord

    DEFF Research Database (Denmark)

    Tang, K.W.; Nielsen, Torkel Gissel; Munk, Peter

    2011-01-01

    2008, and estimated feeding rates for some of the larger species groups. Within the 4 regional domains that were covered in the study (continental slope, continental shelf, outer sill region, and main fjord basin), salty coastal water and glacial runoff mixed to various extents, and 7 water masses...

  2. Comparison of different statistical methods for estimation of extreme sea levels with wave set-up contribution

    Science.gov (United States)

    Kergadallan, Xavier; Bernardara, Pietro; Benoit, Michel; Andreewsky, Marc; Weiss, Jérôme

    2013-04-01

    Estimating the probability of occurrence of extreme sea levels is a central issue for the protection of the coast. Return periods of sea level with wave set-up contribution are estimated here in one site : Cherbourg in France in the English Channel. The methodology follows two steps : the first one is computation of joint probability of simultaneous wave height and still sea level, the second one is interpretation of that joint probabilities to assess a sea level for a given return period. Two different approaches were evaluated to compute joint probability of simultaneous wave height and still sea level : the first one is multivariate extreme values distributions of logistic type in which all components of the variables become large simultaneously, the second one is conditional approach for multivariate extreme values in which only one component of the variables have to be large. Two different methods were applied to estimate sea level with wave set-up contribution for a given return period : Monte-Carlo simulation in which estimation is more accurate but needs higher calculation time and classical ocean engineering design contours of type inverse-FORM in which the method is simpler and allows more complex estimation of wave setup part (wave propagation to the coast for example). We compare results from the two different approaches with the two different methods. To be able to use both Monte-Carlo simulation and design contours methods, wave setup is estimated with an simple empirical formula. We show advantages of the conditional approach compared to the multivariate extreme values approach when extreme sea-level occurs when either surge or wave height is large. We discuss the validity of the ocean engineering design contours method which is an alternative when computation of sea levels is too complex to use Monte-Carlo simulation method.

  3. Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in Madagascar.

    Science.gov (United States)

    Weber, Ann M; van der Laan, Mark J; Petersen, Maya L

    2015-03-01

    Failure (or success) in finding a statistically significant effect of a large-scale intervention may be due to choices made in the evaluation. To highlight the potential limitations and pitfalls of some common identification strategies used for estimating causal effects of community-level interventions, we apply a roadmap for causal inference to a pre-post evaluation of a national nutrition program in Madagascar. Selection into the program was non-random and strongly associated with the pre-treatment (lagged) outcome. Using structural causal models (SCM), directed acyclic graphs (DAGs) and simulated data, we illustrate that an estimand with the outcome defined as the post-treatment outcome controls for confounding by the lagged outcome but not by possible unmeasured confounders. Two separate differencing estimands (of the pre- and post-treatment outcome) have the potential to adjust for a certain type of unmeasured confounding, but introduce bias if the additional identification assumptions they rely on are not met. In order to illustrate the practical impact of choice between three common identification strategies and their corresponding estimands, we used observational data from the community nutrition program in Madagascar to estimate each of these three estimands. Specifically, we estimated the average treatment effect of the program on the community mean nutritional status of children 5 years and under and found that the estimate based on the post-treatment estimand was about a quarter of the magnitude of either of the differencing estimands (0.066 SD vs. 0.26-0.27 SD increase in mean weight-for-age z-score). Choice of estimand clearly has important implications for the interpretation of the success of the program to improve nutritional status of young children. A careful appraisal of the assumptions underlying the causal model is imperative before committing to a statistical model and progressing to estimation. However, knowledge about the data

  4. Reliability and precision of pellet-group counts for estimating landscape-level deer density

    Science.gov (United States)

    David S. deCalesta

    2013-01-01

    This study provides hitherto unavailable methodology for reliably and precisely estimating deer density within forested landscapes, enabling quantitative rather than qualitative deer management. Reliability and precision of the deer pellet-group technique were evaluated in 1 small and 2 large forested landscapes. Density estimates, adjusted to reflect deer harvest and...

  5. Determining Best Method for Estimating Observed Level of Maximum Convective Detrainment based on Radar Reflectivity

    Science.gov (United States)

    Carletta, N.; Mullendore, G. L.; Xi, B.; Feng, Z.; Dong, X.

    2013-12-01

    Convective mass transport is the transport of mass from near the surface up to the upper troposphere and lower stratosphere (UTLS) by a deep convective updraft. This transport can alter the chemical makeup and water vapor balance of the UTLS, which can affect cloud formation and the radiative properties of the atmosphere. It is therefore important to understand the exact altitudes at which mass is detrained from convection. The purpose of this study is to improve upon previously published methodologies for estimating the level of maximum detrainment (LMD) within convection using data from individual radars. Three methods were used to identify the LMD and validated against dual-Doppler derived vertical mass divergence fields. The best method for locating the LMD was determined to be the method that uses a horizontal reflectivity texture-based technique to determine convective cores and a multi-layer echo identification to determine anvil locations. The methodology was found to work in many but not all cases. The methodology works best when applied to convective systems with mature updrafts, and is most accurate with convective lines and single cells. A time lag is present in the reflectivity based LMD compared to the vertical mass divergence based LMD because the reflectivity method is dependent on anvil growth. This methodology was then applied to archived NEXRAD 3D mosaic radar data. The regions of analysis were chosen to coincide with the observation regions for the Deep Convective Clouds and Chemistry Experiment (DC3): the Colorado Foothills, Southern Plains (OK/TX), and Southeast US (AL). These three regions provide a wide variety of convection. The dates analyzed were from May and June of 2012 so the results can be compared to future DC3 studies. The variability of detrainment heights for the early convective season for these different geographical regions will be presented.

  6. Individual, population and community level effects of subtle anthropogenic contamination in estuarine meiobenthos

    Energy Technology Data Exchange (ETDEWEB)

    Rubal, Marcos [CIIMAR/CIMAR-LA - Centro Interdisciplinar de Investigacao Marinha e Ambiental, Universidade do Porto, Laboratorio de Ecotoxicologia, Rua dos Bragas 289, 4050-123 Porto (Portugal); Guilhermino, Lucia M. [CIIMAR/CIMAR-LA - Centro Interdisciplinar de Investigacao Marinha e Ambiental, Universidade do Porto, Laboratorio de Ecotoxicologia, Rua dos Bragas 289, 4050-123 Porto (Portugal); ICBAS - Instituto de Ciencias Biomedicas de Abel Salazar, Departamento de Estudos de Populacoes, Laboratorio de Ecotoxicologia, Universidade do Porto, Lg. Prof. Abel Salazar 2, 4099-003 Porto (Portugal); Medina, Matias H., E-mail: matias.medina@avs-chile.c [AVS Chile SA, Imperial 0655, Off. 3A, Puerto Varas (Chile); Centro i-mar, Universidad de Los Lagos, Camino Chinquihue km 6, Puerto Montt (Chile)

    2009-10-15

    The study presented here searched for the level of taxonomic resolution required to detect the effects of low-level chronic pollution on estuarine meiobenthic communities. Meiofauna from two sites, with special attention to harpacticoid copepods, was analysed at different taxonomic levels of aggregation using uni- and multivariate methods. Adaptation processes that could buffer biodiversity disruptions were also considered through the analysis of fitness-related and tolerance traits in the harpacticoid copepod Paronychocamptus nanus. Results showed that uni- and multivariate analyses could be inadequate when assessing subtle anthropogenic contamination. Instead, the assessment of inter-population differences in tolerance to the main source of stress rises as a required procedure if potential effects of this type of contamination are being investigated. Specifically, a 96 h acute toxicity test performed with populations from the affected site appears as a faster and reliable general tool to assess impacts of low-level chronic pollution in estuaries. - Tolerance of local populations as a reliable tool to assess impacts of subtle anthropogenic contamination in estuaries.

  7. Individual, population and community level effects of subtle anthropogenic contamination in estuarine meiobenthos

    International Nuclear Information System (INIS)

    Rubal, Marcos; Guilhermino, Lucia M.; Medina, Matias H.

    2009-01-01

    The study presented here searched for the level of taxonomic resolution required to detect the effects of low-level chronic pollution on estuarine meiobenthic communities. Meiofauna from two sites, with special attention to harpacticoid copepods, was analysed at different taxonomic levels of aggregation using uni- and multivariate methods. Adaptation processes that could buffer biodiversity disruptions were also considered through the analysis of fitness-related and tolerance traits in the harpacticoid copepod Paronychocamptus nanus. Results showed that uni- and multivariate analyses could be inadequate when assessing subtle anthropogenic contamination. Instead, the assessment of inter-population differences in tolerance to the main source of stress rises as a required procedure if potential effects of this type of contamination are being investigated. Specifically, a 96 h acute toxicity test performed with populations from the affected site appears as a faster and reliable general tool to assess impacts of low-level chronic pollution in estuaries. - Tolerance of local populations as a reliable tool to assess impacts of subtle anthropogenic contamination in estuaries.

  8. Stress, depression, quality of life and salivary cortisol levels in community health agents.

    Science.gov (United States)

    Knuth, Berenice Scaletzky; Cocco, Rafaela Abreu; Radtke, Vinicius Augusto; Medeiros, João Ricardo Carvalho; Oses, Jean Pierre; Wiener, Carolina David; Jansen, Karen

    2016-06-01

    To determine the prevalence of and factors associated with depression and stress with perceived quality of life and the salivary cortisol levels in Community Health Agent (CHA). Materials and Methods Cross-sectional descriptive study of CHAs in Pelotas-RS, Brazil. Data collection, including sociodemographic information and factors related to work and health. Beck Depression Inventory (BDI) II was used to assess depressive symptoms, Inventory of Stress Symptoms Lipp (ISSL) was used for the analysis of stress and the WHOQOL-BREF was used to investigate quality of life. Salivary cortisol was quantified via ELISA test. The assessments showed that 71.0% are in a state of stress resistance, 30.5% were in the alert state of stress and 32.8% were in the stress state of exhaustion. Depressive episodes (BDI≥12) were observed in 28.2%. The environmental domain had the lowest score for quality of life. We observed significantly higher salivary cortisol levels in CHAs with less than 1 year of service and with the lowest quality of life scores in the environmental subsection. A high prevalence of stress and depression was observed in this sample of CHAs. In addition, the worst levels of quality of life were identified in the environmental subsection. Cortisol levels corroborate these findings regarding quality of life within the environmental domain and began working less than a year previously.

  9. Taxonomic level sufficient for assessing a moderate impact on macrobenthic communities in Puget Sound, Washington, USA

    International Nuclear Information System (INIS)

    Ferraro, S.P.; Cole, F.A.

    1992-01-01

    Macrobenthic data obtained using three sampling schemes (0.06-sq m x 8-cm-deep sampling unit and 1.0- or 0.5-mm-mesh sieves, and 0.1-sq m x 8-cm-deep sampling unit and 1.0-mm-mesh sieve) previously identified as optimal or near-optimal for detecting differences between a reference and a moderately impacted station when animals were identified to species were reanalyzed at the genus, family, order, and phylum level to determine the taxonomic level sufficient to detect differences between the stations with t-tests on five measures of community structure. Taxonomically sufficient levels for number of taxa were family in 1.0-mm-mesh samples and species in 0.5-mm-mesh samples. Specific identification was usually required for a Dominance, Shannon's, 1 - Simpson's, and McIntosh's Index in 1.0- and 0.5-mm-mesh samples, suggesting limits to the utility of the taxonomic sufficiency concept when using those indices to detect moderate impacts. This and a previous study indicate that one could reliably (alpha = 0.05, 1 - beta about 0.80) detect moderate benthic impacts at the study site on number of taxa and five other measures of community structure with five to seven replicate 0.06-sq m x 8-cm-deep, 1.0-mm-mesh samples per station and identification to family only. Taxonomic sufficiency can vary depending upon the animal size fraction sampled and the measure used

  10. Community-level income inequality and HIV prevalence among persons who inject drugs in Thai Nguyen, Vietnam.

    Science.gov (United States)

    Lim, Travis W; Frangakis, Constantine; Latkin, Carl; Ha, Tran Viet; Minh, Nguyen Le; Zelaya, Carla; Quan, Vu Minh; Go, Vivian F

    2014-01-01

    Socioeconomic status has a robust positive relationship with several health outcomes at the individual and population levels, but in the case of HIV prevalence, income inequality may be a better predictor than absolute level of income. Most studies showing a relationship between income inequality and HIV have used entire countries as the unit of analysis. In this study, we examine the association between income inequality at the community level and HIV prevalence in a sample of persons who inject drugs (PWID) in a concentrated epidemic setting. We recruited PWID and non-PWID community participants in Thai Nguyen, Vietnam, and administered a cross-sectional questionnaire; PWID were tested for HIV. We used ecologic regression to model HIV burden in our PWID study population on GINI indices of inequality calculated from total reported incomes of non-PWID community members in each commune. We also modeled HIV burden on interaction terms between GINI index and median commune income, and finally used a multi-level model to control for community level inequality and individual level income. HIV burden among PWID was significantly correlated with the commune GINI coefficient (r = 0.53, p = 0.002). HIV burden was also associated with GINI coefficient (β = 0.082, p = 0.008) and with median commune income (β = -0.018, p = 0.023) in ecological regression. In the multi-level model, higher GINI coefficient at the community level was associated with higher odds of individual HIV infection in PWID (OR = 1.46 per 0.01, p = 0.003) while higher personal income was associated with reduced odds of infection (OR = 0.98 per $10, p = 0.022). This study demonstrates a context where income inequality is associated with HIV prevalence at the community level in a concentrated epidemic. It further suggests that community level socioeconomic factors, both contextual and compositional, could be indirect determinants of HIV infection in PWID.

  11. Estimating the Transfer Range of Plasmids Encoding Antimicrobial Resistance in a Wastewater Treatment Plant Microbial Community

    DEFF Research Database (Denmark)

    Li, Liguan; Dechesne, Arnaud; He, Zhiming

    2018-01-01

    Wastewater treatment plants (WWTPs) have been suggested as reservoirs and sources of antibiotic resistance genes (ARGs) in the environment. In a WWTP ecosystem, human enteric and environmental bacteria are mixed and exposed to pharmaceutical residues, potentially favoring genetic exchange and thus...... sludge microbial community was challenged in standardized filter matings with one of three multidrug resistance plasmids (pKJK5, pB10, and RP4) harbored by Escherichia coli or Pseudomonas putida. Different donor–plasmid combinations had distinct transfer frequencies, ranging from 3 to 50 conjugation...

  12. Estimation of Community Land Model parameters for an improved assessment of net carbon fluxes at European sites

    Science.gov (United States)

    Post, Hanna; Vrugt, Jasper A.; Fox, Andrew; Vereecken, Harry; Hendricks Franssen, Harrie-Jan

    2017-03-01

    The Community Land Model (CLM) contains many parameters whose values are uncertain and thus require careful estimation for model application at individual sites. Here we used Bayesian inference with the DiffeRential Evolution Adaptive Metropolis (DREAM(zs)) algorithm to estimate eight CLM v.4.5 ecosystem parameters using 1 year records of half-hourly net ecosystem CO2 exchange (NEE) observations of four central European sites with different plant functional types (PFTs). The posterior CLM parameter distributions of each site were estimated per individual season and on a yearly basis. These estimates were then evaluated using NEE data from an independent evaluation period and data from "nearby" FLUXNET sites at 600 km distance to the original sites. Latent variables (multipliers) were used to treat explicitly uncertainty in the initial carbon-nitrogen pools. The posterior parameter estimates were superior to their default values in their ability to track and explain the measured NEE data of each site. The seasonal parameter values reduced with more than 50% (averaged over all sites) the bias in the simulated NEE values. The most consistent performance of CLM during the evaluation period was found for the posterior parameter values of the forest PFTs, and contrary to the C3-grass and C3-crop sites, the latent variables of the initial pools further enhanced the quality-of-fit. The carbon sink function of the forest PFTs significantly increased with the posterior parameter estimates. We thus conclude that land surface model predictions of carbon stocks and fluxes require careful consideration of uncertain ecological parameters and initial states.

  13. Stochastic estimation of nuclear level density in the nuclear shell model: An application to parity-dependent level density in 58Ni

    Directory of Open Access Journals (Sweden)

    Noritaka Shimizu

    2016-02-01

    Full Text Available We introduce a novel method to obtain level densities in large-scale shell-model calculations. Our method is a stochastic estimation of eigenvalue count based on a shifted Krylov-subspace method, which enables us to obtain level densities of huge Hamiltonian matrices. This framework leads to a successful description of both low-lying spectroscopy and the experimentally observed equilibration of Jπ=2+ and 2− states in 58Ni in a unified manner.

  14. Types and Levels of Bioaerosols in Healthcare and Community Indoor Settings in Iran

    Directory of Open Access Journals (Sweden)

    Ghasemian

    2016-09-01

    Full Text Available Context Bioaerosols are associated with a wide spectrum of health effects, including infections and contagious diseases, acute toxicities, allergies, and even cancer. Evidence Acquisition Previous publications describing research conducted in healthcare and community settings during the years 2001 - 2016 were included in this analysis. The words bioaerosol, contamination, bacteria, fungi, viruses, and Iran were explored via the use of search engines such as PubMed, Google, Google Scholar, and Science Direct. A total of 28 studies were found. Results The levels of bacterial contamination were higher than those found in the fungal species. The most isolated of the bacterial species were S. aureus (38.24% and Micrococci (31.6%, and the most isolated of the fungal species were Penicillium (32.28% and Aspergillus spp (22.78%. The highest levels of contamination were detected in infectious disease (ID settings (mean = 91 ± 86 cfu/m3 for bacteria and 27 ± 24 for fungi. Moreover, levels of indoor air contamination were lower than the world health organization (WHO standards, with the exception of S. aureus at 201 cfu/m3 and 189 cfu/m3 in infectious disease (ID and intensive care unit (ICU settings, respectively. In terms of geographic area and cultural differences, the numbers of bacterial and fungal agents were not significantly different (i.e., North versus South and East versus West. Moisture levels were significantly related to air contamination (pv = 0.02. Conclusions The levels of air contamination inside hospital and healthcare settings were lower than the WHO mean standard. Active air sampling methods are necessary for measuring bioaerosol contamination. There were no significant differences in the levels of contamination found in various indoor settings in Iran. Efficient ventilation systems and contamination prevention or minimization are necessary for these settings.

  15. Association of day length and weather conditions with physical activity levels in older community dwelling people.

    Directory of Open Access Journals (Sweden)

    Miles D Witham

    Full Text Available Weather is a potentially important determinant of physical activity. Little work has been done examining the relationship between weather and physical activity, and potential modifiers of any relationship in older people. We therefore examined the relationship between weather and physical activity in a cohort of older community-dwelling people.We analysed prospectively collected cross-sectional activity data from community-dwelling people aged 65 and over in the Physical Activity Cohort Scotland. We correlated seven day triaxial accelerometry data with daily weather data (temperature, day length, sunshine, snow, rain, and a series of potential effect modifiers were tested in mixed models: environmental variables (urban vs rural dwelling, percentage of green space, psychological variables (anxiety, depression, perceived behavioural control, social variables (number of close contacts and health status measured using the SF-36 questionnaire.547 participants, mean age 78.5 years, were included in this analysis. Higher minimum daily temperature and longer day length were associated with higher activity levels; these associations remained robust to adjustment for other significant associates of activity: age, perceived behavioural control, number of social contacts and physical function. Of the potential effect modifier variables, only urban vs rural dwelling and the SF-36 measure of social functioning enhanced the association between day length and activity; no variable modified the association between minimum temperature and activity.In older community dwelling people, minimum temperature and day length were associated with objectively measured activity. There was little evidence for moderation of these associations through potentially modifiable health, environmental, social or psychological variables.

  16. Uptake of HIV testing in Burkina Faso: an assessment of individual and community-level determinants.

    Science.gov (United States)

    Kirakoya-Samadoulougou, Fati; Jean, Kévin; Maheu-Giroux, Mathieu

    2017-05-22

    Previous studies have highlighted a range of individual determinants associated with HIV testing but few have assessed the role of contextual factors. The objective of this paper is to examine the influence of both individual and community-level determinants of HIV testing uptake in Burkina Faso. Using nationally representative cross-sectional data from the 2010 Demographic and Health Survey, the determinants of lifetime HIV testing were examined for sexually active women (n = 14,656) and men (n = 5680) using modified Poisson regression models. One third of women (36%; 95% Confidence Interval (CI): 33-37%) reported having ever been tested for HIV compared to a quarter of men (26%; 95% CI: 24-27%). For both genders, age, education, religious affiliation, household wealth, employment, media exposure, sexual behaviors, and HIV knowledge were associated with HIV testing. After adjustment, women living in communities where the following characteristics were higher than the median were more likely to report uptake of HIV testing: knowledge of where to access testing (Prevalence Ratio [PR] = 1.41; 95% CI: 1.34-1.48), willing to buy food from an infected vendor (PR = 2.06; 95% CI: 1.31-3.24), highest wealth quintiles (PR = 1.18; 95% CI: 1.10-1.27), not working year-round (PR = 0.90; 95% CI: 0.84-0.96), and high media exposure (PR = 1.11; 95% CI: 1.03-1.19). Men living in communities where the proportion of respondents were more educated (PR = 1.23; 95% CI: 1.07-1.41) than the median were more likely to be tested. This study shed light on potential mechanisms through which HIV testing could be increased in Burkina Faso. Both individual and contextual factors should be considered to design effective strategies for scaling-up HIV testing.

  17. Outcomes of a randomized, controlled community-level HIV prevention intervention for adolescents in low-income housing developments.

    Science.gov (United States)

    Sikkema, Kathleen J; Anderson, Eileen S; Kelly, Jeffrey A; Winett, Richard A; Gore-Felton, Cheryl; Roffman, Roger A; Heckman, Timothy G; Graves, Kristi; Hoffmann, Raymond G; Brondino, Michael J

    2005-09-23

    Youth are increasingly at risk for contracting HIV infection, and community-level interventions are needed to reduce behavioral risk. A randomized, controlled, multi-site community-level intervention trial was undertaken with adolescents living in 15 low-income housing developments in five US cities. Baseline (n = 1172), short-term follow-up (n = 865), and long-term follow-up (n = 763) risk assessments were conducted among adolescents, ages 12-17, in all 15 housing developments. The developments were randomly assigned in equal numbers to each of three conditions: experimental community-level intervention (five developments); "state-of-the-science" skills training workshops (five developments); and, education-only delayed control intervention (five developments). At long-term follow-up, adolescents living in the housing developments receiving the community-level intervention were more likely to delay onset of first intercourse (85%) than those in the control developments (76%), while those in the workshop developments (78%) did not differ from control condition adolescents. Adolescents in both the community-level intervention (77%) and workshop (76%) developments were more likely to use a condom at last intercourse than those in control (62%) developments. Community-level interventions that include skills training and engage adolescents in neighborhood-based HIV prevention activities can produce and maintain reductions in sexual risk behavior, including delaying sexual debut and increasing condom use.

  18. Estimation of geomechanical subsidence at Hanford low-level solid waste disposal sites: Empirical analysis based on geological engineering

    International Nuclear Information System (INIS)

    Phillips, S.J.; Gilbert, T.W.

    1985-03-01

    Geotechnical/geomechanical subsidence is of concern at several Hanford Site low-level waste disposal locations. Subsidence may result in long-term maintenance, or perhaps, loss of confinement of contaminants within the boundaries of specific disposal sites. A preliminary method to estimate the magnitude of subsidence is reported. Additionally, graphic relationships are reported that permit estimation of depth and volume of subsidence ground surface features

  19. Toxicological evaluation of food additives. Toxicological evaluation over estimation of potential high intake to permitted levels of use of food additives and vice versa.

    Science.gov (United States)

    Hansen, S C

    1990-02-01

    Permitted levels of use for food additives should agree with the acceptable daily intakes (ADIs) established by toxicologists. To ensure accordance, nutritional and physiological factors can be used to estimate high intakes of food and beverages. Appetite and thirst (energy and liquid requirements) are such quantitative factors. They are universal and, if placed on the same level as the ADI, i.e., expressed on a kilogram of body weight basis, can be used to estimate high intakes of an additive. This tool can be easily used to judge whether a suggested level of use may cause consumption of the additive to exceed the ADI. It also tells us to what level (ADI) toxicological clearance should be sought, when the technological need is known. The method is independent of food consumption surveys, but these may be carried out to confirm its forecasts. This paper uses caramel in soft drinks as an example. The approach, also called "the budget method," has been tried out in Denmark and Sweden. It is now being offered as a solution to the problem facing the European Communities: to establish before 1993 a common list of food additives containing quantitative limitations for use.

  20. How community-level social and economic developments have changed the patterns of substance use in a transition economy?

    Science.gov (United States)

    Yang, Xiaozhao Y

    2017-07-01

    Most social changes take place at the community level before indirectly affecting individuals. Although the contextual effect is far-reaching, few studies have investigated the important questions of: how do community-level developments affect drinking and smoking, and how do they change the existing gender and income patterns of drinking and smoking, particularly in transition economies? In this study, I used a Chinese panel dataset between 1991 and 2011 to reveal the moderating effects of community developments. Through multilevel growth curve modeling that controls for age, period, and cohort effects, as well as individual- and community-level covariates, I found that community-level economic development and social development are negatively associated with drinking and smoking. Moreover, economic and social developments also moderate the important influences of income and gender: women start to drink more in communities with higher economic development; the traditionally positive association between income and smoking/drinking is also reversed, i.e. the rich start to smoke and drink less in communities with higher social development. This study concludes that the rapid changes in communal social and economic structures have created new health disparities based on the gender and socioeconomic hierarchy. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. New Zealand rugby health study: motor cortex excitability in retired elite and community level rugby players.

    Science.gov (United States)

    Lewis, Gwyn N; Hume, Patria A; Stavric, Verna; Brown, Scott R; Taylor, Denise

    2017-01-13

    Rugby union is a high contact sport in which players frequently experience brain injuries. Acute brain injury is associated with altered corticomotor function. However, it is uncertain if long-term exposure to rugby is associated with any alterations in corticomotor function. The aim of the study was to assess measures of corticomotor excitability and inhibition in retired rugby players in comparison to retired non-contact sport players. The design was a cross-sectional study with three groups of retired athletes: elite rugby (n=23), community level rugby (n=28) and non-contact sport control (n=22). Assessments of corticomotor excitability were made using transcranial magnetic stimulation. Resting motor threshold was significantly higher and long-interval intracortical inhibition was greater in the elite rugby group compared to the control group. Participants in the two rugby groups had sustained significantly more concussions than the control group. We provide some evidence of altered corticomotor excitation and inhibition in retired elite rugby players in comparison to retired non-contact sport players. Given the absence of findings in the community rugby group, who had experienced a similar number of concussions, the association with previous brain injury is unclear.

  2. Store turnover as a predictor of food and beverage provider turnover and associated dietary intake estimates in very remote Indigenous communities.

    Science.gov (United States)

    Wycherley, Thomas; Ferguson, Megan; O'Dea, Kerin; McMahon, Emma; Liberato, Selma; Brimblecombe, Julie

    2016-12-01

    Determine how very-remote Indigenous community (RIC) food and beverage (F&B) turnover quantities and associated dietary intake estimates derived from only stores, compare with values derived from all community F&B providers. F&B turnover quantity and associated dietary intake estimates (energy, micro/macronutrients and major contributing food types) were derived from 12-months transaction data of all F&B providers in three RICs (NT, Australia). F&B turnover quantities and dietary intake estimates from only stores (plus only the primary store in multiple-store communities) were expressed as a proportion of complete F&B provider turnover values. Food types and macronutrient distribution (%E) estimates were quantitatively compared. Combined stores F&B turnover accounted for the majority of F&B quantity (98.1%) and absolute dietary intake estimates (energy [97.8%], macronutrients [≥96.7%] and micronutrients [≥83.8%]). Macronutrient distribution estimates from combined stores and only the primary store closely aligned complete provider estimates (≤0.9% absolute). Food types were similar using combined stores, primary store or complete provider turnover. Evaluating combined stores F&B turnover represents an efficient method to estimate total F&B turnover quantity and associated dietary intake in RICs. In multiple-store communities, evaluating only primary store F&B turnover provides an efficient estimate of macronutrient distribution and major food types. © 2016 Public Health Association of Australia.

  3. Poster abstract: Water level estimation in urban ultrasonic/passive infrared flash flood sensor networks using supervised learning

    KAUST Repository

    Mousa, Mustafa

    2014-04-01

    This article describes a machine learning approach to water level estimation in a dual ultrasonic/passive infrared urban flood sensor system. We first show that an ultrasonic rangefinder alone is unable to accurately measure the level of water on a road due to thermal effects. Using additional passive infrared sensors, we show that ground temperature and local sensor temperature measurements are sufficient to correct the rangefinder readings and improve the flood detection performance. Since floods occur very rarely, we use a supervised learning approach to estimate the correction to the ultrasonic rangefinder caused by temperature fluctuations. Preliminary data shows that water level can be estimated with an absolute error of less than 2 cm. © 2014 IEEE.

  4. A level playing field: Obtaining consistent cost estimates for advanced reactor designs

    International Nuclear Information System (INIS)

    Hudson, C.R. II; Rohm, H.H.; Humphreys, J.R. Jr.

    1987-01-01

    Rules and guidelines for developing cost estimates are given which provide a means for presenting cost estimates for advanced concepts on a consistent and equitable basis. For advanced reactor designs, the scope of a cost estimate includes the plant capital cost, the operating and maintenance cost, the fuel cycle cost, and the cost of decommissioning. Each element is subdivided as is necessary to provide a common reporting format for all power plant concepts. The total generation cost is taken to be a suitable choice for a summary figure of merit. To test the application of the rules and guidelines as well as developing reference costs for current technologies, several different sized coal and pressurized water reactor plant cost estimates have been prepared

  5. A level playing field: Obtaining consistent cost estimates for advanced reactor designs

    Energy Technology Data Exchange (ETDEWEB)

    Hudson, C.R. II; Rohm, H.H.; Humphreys, J.R. Jr.

    1987-01-01

    Rules and guidelines for developing cost estimates are given which provide a means for presenting cost estimates for advanced concepts on a consistent and equitable basis. For advanced reactor designs, the scope of a cost estimate includes the plant capital cost, the operating and maintenance cost, the fuel cycle cost, and the cost of decommissioning. Each element is subdivided as is necessary to provide a common reporting format for all power plant concepts. The total generation cost is taken to be a suitable choice for a summary figure of merit. To test the application of the rules and guidelines as well as developing reference costs for current technologies, several different sized coal and pressurized water reactor plant cost estimates have been prepared. (LEW)

  6. A Model for Teaching a Climate Change Elective Science Course at the Community College Level

    Science.gov (United States)

    Mandia, S. A.

    2012-12-01

    The impact of global climate change is far-reaching, both for humanity and for the environment. It is essential that our students be provided a strong scientific background for the role of natural and human caused climate change so that they are better prepared to become involved in the discussion. Here the author reveals a successful model designed for use with a diverse student body at the community college level. Teaching strategies beyond the traditional lecture and exam style include: web-based resources such as static websites along with dynamic blogging tools, post-lecture cooperative learning review sessions, weekly current event research projects, use of rubrics to assist students in their own project evaluation before submission, and a research paper utilizing the Skeptical Science website to examine the validity of the most common climate change myths.

  7. Border screening vs. community level disease control for infectious diseases: Timing and effectiveness

    Science.gov (United States)

    Kim, Sehjeong; Chang, Dong Eui

    2017-06-01

    There have been many studies of the border screening using a simple math model or a statistical analysis to investigate the ineffectiveness of border screening during 2003 and 2009 pandemics. However, the use of border screening is still a controversial issue. It is due to focusing only on the functionality of border screening without considering the timing to use. In this paper, we attempt to qualitatively answer whether the use of border screening is a desirable action during a disease pandemic. Thus, a novel mathematical model with a transition probability of status change during flight and border screening is developed. A condition to check a timing of the border screening is established in terms of a lower bound of the basic reproduction number. If the lower bound is greater than one, which indicates a pandemic, then the border screening may not be effective and the disease persists. In this case, a community level control strategy should be conducted.

  8. Are community-level financial data adequate to assess population health investments?

    Science.gov (United States)

    Casper, Tim; Kindig, David A

    2012-01-01

    The variation in health outcomes among communities results largely from different levels of financial and nonfinancial policy investments over time; these natural experiments should offer investment and policy guidance for a business model on population health. However, little such guidance exists. We examined the availability of data in a sample of Wisconsin counties for expenditures in selected categories of health care, public health, human services, income support, job development, and education. We found, as predicted by the National Committee on Vital and Health Statistics in 2002, that availability is often limited by the challenges of difficulty in locating useable data, a lack of resources among public agencies to upgrade information technology systems for making data more usable and accessible to the public, and a lack of enterprise-wide coordination and geographic detail in data collection efforts. These challenges must be overcome to provide policy-relevant information for optimal population health resource allocation.

  9. Multi-level restricted maximum likelihood covariance estimation and kriging for large non-gridded spatial datasets

    KAUST Repository

    Castrillon, Julio

    2015-11-10

    We develop a multi-level restricted Gaussian maximum likelihood method for estimating the covariance function parameters and computing the best unbiased predictor. Our approach produces a new set of multi-level contrasts where the deterministic parameters of the model are filtered out thus enabling the estimation of the covariance parameters to be decoupled from the deterministic component. Moreover, the multi-level covariance matrix of the contrasts exhibit fast decay that is dependent on the smoothness of the covariance function. Due to the fast decay of the multi-level covariance matrix coefficients only a small set is computed with a level dependent criterion. We demonstrate our approach on problems of up to 512,000 observations with a Matérn covariance function and highly irregular placements of the observations. In addition, these problems are numerically unstable and hard to solve with traditional methods.

  10. A chemical method for low level estimation of U (Nat.) in urine

    International Nuclear Information System (INIS)

    Kalaiselvan, S.; Jose, M.T.

    2001-01-01

    A chemical method using fluorescence of uranyl phosphate for the estimation of natural uranium is described. The method involves co-precipitation, anion exchange separation and estimation. For selective separation of U, 5M HCl-3M HClO 4 was used as eluent. Reproducibility and minimum detectable concentration by this method are described in this paper. Feasibility of applying this method for F, M and S class of compounds of U was studied. (author)

  11. Factors Affecting Parent's Perception on Air Quality-From the Individual to the Community Level.

    Science.gov (United States)

    Guo, Yulin; Liu, Fengfeng; Lu, Yuanan; Mao, Zongfu; Lu, Hanson; Wu, Yanyan; Chu, Yuanyuan; Yu, Lichen; Liu, Yisi; Ren, Meng; Li, Na; Chen, Xi; Xiang, Hao

    2016-05-12

    The perception of air quality significantly affects the acceptance of the public of the government's environmental policies. The aim of this research is to explore the relationship between the perception of the air quality of parents and scientific monitoring data and to analyze the factors that affect parents' perceptions. Scientific data of air quality were obtained from Wuhan's environmental condition reports. One thousand parents were investigated for their knowledge and perception of air quality. Scientific data show that the air quality of Wuhan follows an improving trend in general, while most participants believed that the air quality of Wuhan has deteriorated, which indicates a significant difference between public perception and reality. On the individual level, respondents with an age of 40 or above (40 or above: OR = 3.252; 95% CI: 1.170-9.040), a higher educational level (college and above: OR = 7.598; 95% CI: 2.244-25.732) or children with poor healthy conditions (poor: OR = 6.864; 95% CI: 2.212-21.302) have much more negative perception of air quality. On the community level, industrial facilities, vehicles and city construction have major effects on parents' perception of air quality. Our investigation provides baseline information for environmental policy researchers and makers regarding the public's perception and expectation of air quality and the benefits to the environmental policy completing and enforcing.

  12. Changes in bacterial diversity and community structure following pesticides addition to soil estimated by cultivation technique.

    Science.gov (United States)

    Cycoń, Mariusz; Piotrowska-Seget, Zofia

    2009-07-01

    An experiment was conducted under laboratory conditions to investigate the effect of increasing concentrations of fenitrothion (2, 10 and 200 mg a.i./kg soil), diuron (1.5, 7.5 and 150 mg a.i./kg soil) and thiram (3.5, 17.5 and 350 mg a.i./kg soil) on soil respiration, bacterial counts and changes in culturable fraction of soil bacteria. To ascertain these changes, the community structure, bacterial biodiversity and process of colony formation, based on the r/K strategy concept, EP- and CD-indices and the FOR model, respectively, were determined. The results showed that the measured parameters were generally unaffected by the lowest dosages of pesticides, corresponding to the recommended field rates. The highest dosages of fenitrothion and thiram suppressed the peak SIR by 15-70% and 20-80%, respectively, while diuron increased respiration rate by 17-25% during the 28-day experiment. Also, the total numbers of bacteria increased in pesticide-treated soils. However, the reverse effect on day 1 and, in addition, in case of the highest dosages of insecticide on days 14 and 28, was observed. Analysis of the community structure revealed that in all soil treatments bacterial communities were generally dominated by K-strategists. Moreover, differences in the distribution of individual bacteria classes and the gradual domination of bacteria populations belonging to r-strategists during the experiment, as compared to control, was observed. However, on day 1, at the highest pesticide dosages, fast growing bacteria constituted only 1-10% of the total colonies number during 48 h of plate incubation, whereas in remaining samples they reached from 20 to 40% of total cfu. This effect, in case of fenitrothion, lasted till the end of the experiment. At the highest dosages of fenitrothion, diuron and at all dosages of thiram the decrease of biodiversity, as indicated by EP- and CD-indices on day 1, was found. At the next sampling time, no significant retarding or stimulating effect

  13. Determinants of serum cadmium levels in a Northern Italy community: A cross-sectional study

    International Nuclear Information System (INIS)

    Filippini, Tommaso; Michalke, Bernhard; Malagoli, Carlotta; Grill, Peter; Bottecchi, Ilaria; Malavolti, Marcella; Vescovi, Luciano; Sieri, Sabina; Krogh, Vittorio; Cherubini, Andrea; Maffeis, Giuseppe; Modenesi, Marina; Castiglia, Paolo; Vinceti, Marco

    2016-01-01

    Introduction: Cadmium (Cd) is a heavy metal and a serious environmental hazard to humans. Some uncertainties still exist about major sources of Cd exposure in non-occupationally exposed subjects in addition to cigarette smoking, such as diet and outdoor air pollution. We sought to determine the influence of these sources on a biomarker of exposure, serum Cd concentration. Methods: We recruited 51 randomly selected residents from an Italian urban community, from whom we obtained detailed information about dietary habits and smoking habits, and a blood sample for serum Cd determination. We also assessed outdoor air Cd exposure, by modeling outdoor air levels of particulate matter ≤10 µm (PM 10 ) from motorized traffic at geocoded subjects’ residence. Results: In crude analysis, regression beta coefficients for dietary Cd, smoking and PM10 on serum Cd levels were 0.03 (95% CI -0.83 to 0.88), 6.96 (95% CI -0.02 to 13.95) and 0.62 (95% CI -0.19 to 1.43), respectively. In the adjusted analysis, regression beta coefficients were -0.34 (95% CI -1-40 to 0.71), 5.81 (95% CI -1.43 to 13.04) and 0.47 (95% CI -0.35 to 1.29), respectively. Conclusion: Cigarette smoking was the most important factor influencing serum Cd in our non-occupationally exposed population, as expected, while dietary Cd was not associated with this biomarker. Outdoor air pollution, as assessed through exposure to particulate matter generated by motorized traffic, was an additional source of Cd exposure. - Highlights: • Smoking markedly increases serum Cd levels in non-occupationally exposed individuals. • Overall dietary Cd intake shows little association with serum Cd levels. • Air pollution from motorized traffic increases serum Cd levels.

  14. Community-level assessment of dental plaque bacteria susceptibility to triclosan over 19 years

    Science.gov (United States)

    2014-01-01

    Background Triclosan is a broad-spectrum antimicrobial agent used in toothpaste to reduce dental plaque, gingivitis and oral malodor. This community-level assessment evaluated the susceptibility of dental plaque bacteria to triclosan in samples collected over 19 years. Methods A total of 155 dental plaque samples were collected at eleven different times over 19 years from 58 adults using 0.3% triclosan, 2% copolymer, 0.243% sodium fluoride toothpaste and from 97 adults using toothpaste without triclosan. These included samples from 21 subjects who used triclosan toothpaste for at least five years and samples from 20 control subjects. The samples were cultured on media containing 0, 7.5 or 25 μg/ml triclosan. Descriptive statistics and p values were computed and a linear regression model and the runs test were used to examine susceptibility over time. Results Growth inhibition averaged 99.451% (91.209 - 99.830%) on media containing 7.5 μg/ml triclosan and 99.989% (99.670 - 100%) on media containing 25 μg/ml triclosan. There was no change in microbial susceptibility to triclosan over time discernible by regression analysis or the runs test in plaque samples taken over 19 years including samples from subjects using a triclosan-containing dentifrice for at least five years. Conclusions This community-level assessment of microbial susceptibility to triclosan among supragingival plaque bacteria is consistent with the long-term safety of a 0.3% triclosan, 2% copolymer, 0.243% sodium fluoride dentifrice. PMID:24889743

  15. Community-level intimate partner violence and the circumstances of first sex among young women from five African countries

    Directory of Open Access Journals (Sweden)

    Speizer Ilene S

    2010-06-01

    Full Text Available Abstract Background Gender-based violence is an important risk factor for adverse reproductive health (RH. Community-level violence may inhibit young women's ability to engage in safer sexual behaviors due to a lack of control over sexual encounters. Few studies examine violence as a contextual risk factor. Methods Using nationally representative data from five African countries, the association between community-level physical or sexual intimate partner violence (IPV and the circumstances of first sex (premarital or marital among young women (ages 20-29 was examined. Results In Mali, and Kenya bivariate analyses showed that young women who had premarital first sex were from communities where a significantly higher percentage of women reported IPV experience compared to young women who had marital first sex. Multivariate analyses confirmed the findings for these two countries; young women from communities with higher IPV were significantly more likely to have had premarital first sex compared to first sex in union. In Liberia, community-level IPV was associated with a lower risk of premarital sex as compared to first sex in union at a marginal significance level. There was no significant relationship between community-level IPV and the circumstances of first sex in the Democratic Republic of Congo or Zimbabwe. Conclusion These findings indicate that context matters for RH. Individualized efforts to improve RH may be limited in their effectiveness if they do not acknowledge the context of young women's lives. Programs should target prevention of violence to improve RH outcomes of youth.

  16. Multifunctionality assessment in forest planning at landscape level. The study case of Matese Mountain Community (Italy.

    Directory of Open Access Journals (Sweden)

    Umberto Di Salvatore

    2013-12-01

    Full Text Available Normal 0 14 false false false MicrosoftInternetExplorer4 The main objective is to improve a method that aims at evaluating forest multifunctionality from a technical and practical point of view. A methodological approach - based on the index of forest multifunctionality level - is proposed to assess the “fulfilment capability” of a function providing an estimate of performance level of each function in a given forest. This method is aimed at supporting technicians requested to define most suitable management guidelines and silvicultural practices in the framework of a Forest Landscape Management Plan (FLMP. The study area is the Matese district in southern Apennines (Italy, where a landscape planning experimentation was implemented. The approach includes the qualitative and quantitative characterization of selected populations, stratified by forest category by a sampling set of forest inventory plots. A 0.5 ha area around the sample plot was described by filling a form including the following information: site condition, tree species composition, stand origin and structure, silvicultural system, health condition, microhabitats presence. In each sample plot, both the multifunctionality assessment and the estimate of the effect of alternative management options on ecosystem goods and services, were carried out. The introduction of the term “fulfilment capability” and the modification of the concept of priority level - by which the ranking of functions within a plot is evaluated - is an improvement of current analysis method. This enhanced approach allows to detect the current status of forest plot and its potential framed within the whole forest. Assessing functional features of forests with this approach reduces the inherent subjectivity and allows to get useful information on forest multifunctionality to support forest planners in defining management guidelines consistent with current status and potential evolutive pattern.

  17. Community.

    Science.gov (United States)

    Grauer, Kit, Ed.

    1995-01-01

    Art in context of community is the theme of this newsletter. The theme is introduced in an editorial "Community-Enlarging the Definition" (Kit Grauer). Related articles include: (1) "The Children's Bridge is not Destroyed: Heart in the Middle of the World" (Emil Robert Tanay); (2) "Making Bridges: The Sock Doll…

  18. Testing the stress gradient hypothesis in herbivore communities: facilitation peaks at intermediate nutrient levels

    NARCIS (Netherlands)

    Bakker, E.S.; Dobrescu, I.; Straile, D.; Holmgren, M.

    2013-01-01

    The role of positive interactions in structuring plant and animal communities is increasingly recognized, but the generality of current theoretical models has remained practically unexplored in animal communities. The stress gradient hypothesis predicts a linear increase in the intensity of

  19. Fasting time and vitamin B12 levels in a community-based population.

    Science.gov (United States)

    Orton, Dennis J; Naugler, Christopher; Sadrzadeh, S M Hossein

    2016-07-01

    Vitamin B12, also known as cobalamin (Cbl), is an essential vitamin that manifests with numerous severe but non-specific symptoms in cases of deficiency. Assessing Cbl status often requires fasting, although this requirement is not standard between institutions. This study evaluated the impact of fasting on Cbl levels in a large community-based cohort in an effort to promote standardization of Cbl testing between sites. Laboratory data for Cbl, fasting time, patient age and sex were obtained from laboratory information service from Calgary Laboratory Services (CLS) for the period of April 2011 to June 2015. CLS is the sole supplier of laboratory services in the Southern Alberta region in Canada (population, approximately 1.4 million). To investigate potential sex-specific effects of fasting on Cbl levels, males and females were analyzed separately using linear regression models. A total of 346,957 individual patient results (196,849 females, 146,085 males) were obtained. The mean plasma Cbl level was 386.5 (±195.6) pmol/L and 412.0 (±220.8) pmol/L for males and females, respectively. Linear regression analysis showed fasting had no significant association with Cbl levels in females; however a statistically significant decrease of 0.9pmol/L/hour fasting (pfasting has the potential to contribute to higher rates of Cbl deficiency in men. Together, these data suggest fasting should be excluded as a requirement for evaluating plasma Cbl. Copyright © 2016 Elsevier B.V. All rights reserved.

  20. Prediction for the high-level alpha-active waste to be generated by nuclear power stations in the Member States of the European Communities

    International Nuclear Information System (INIS)

    Schmidt, E.

    1977-04-01

    Starting with a forecast for the nuclear power generating capacity to be installed in the Member States of the European Communities before the end of this century, a prediction is made of the annual production of high-level alpha-active waste from reprocessing plants and the corresponding accumulation up to the year 2000. The isotopic composition of the alpha-active waste from individual reactor types was calculated and an estimation of the influence of recycling plutonium through light water reactors on the produced quantity of higher actinides is made

  1. Rice fortified with iron given weekly increases hemoglobin levels and reduces anemia in infants: a community intervention trial.

    Science.gov (United States)

    Nogueira Arcanjo, Francisco Plácido; Roberto Santos, Paulo; Madeiro Leite, Alvaro Jorge; Bastos Mota, Francisco Sulivan; Duarte Segall, Sérgio

    2013-01-01

    More than two billion people suffer from anemia worldwide, and it is estimated that more than 50 % of cases are caused by iron deficiency. In this community intervention trial, we evaluated infants aged 10 to 23 months of age (n = 171) from two public child day-care centers. Intervention lasted 18 weeks. The 50-g individual portion (uncooked) of fortified rice provided 56.4 mg of elemental iron as ferric pyrophosphate. Capillary blood samples to test for anemia were taken at baseline and at endpoint. The objective of this study was to evaluate the impact of rice fortified with iron (Ultrarice®) on hemoglobin and anemia prevalence compared with standard household rice. For the fortified rice center, baseline mean hemoglobin was 113.7 ± 9.2 g/L, and at endpoint 119.5 ± 7.7 g/L, p Anemia prevalence for the fortified rice center was 27.8 % (20/72) at baseline, and 11.1 % (8/72) at endpoint, p = 0.012; for the control center, 47.1 % (33/70) were anemic at baseline, and 37.1 % (26/70) at the end of the study, p = 0.23. The Number Needed to Treat (NNT) was 4. In this intervention, rice fortified with iron given weekly was effective in increasing hemoglobin levels and reducing anemia in infants.

  2. Open Source Web-Based Solutions for Disseminating and Analyzing Flood Hazard Information at the Community Level

    Science.gov (United States)

    Santillan, M. M.-M.; Santillan, J. R.; Morales, E. M. O.

    2017-09-01

    We discuss in this paper the development, including the features and functionalities, of an open source web-based flood hazard information dissemination and analytical system called "Flood EViDEns". Flood EViDEns is short for "Flood Event Visualization and Damage Estimations", an application that was developed by the Caraga State University to address the needs of local disaster managers in the Caraga Region in Mindanao, Philippines in accessing timely and relevant flood hazard information before, during and after the occurrence of flood disasters at the community (i.e., barangay and household) level. The web application made use of various free/open source web mapping and visualization technologies (GeoServer, GeoDjango, OpenLayers, Bootstrap), various geospatial datasets including LiDAR-derived elevation and information products, hydro-meteorological data, and flood simulation models to visualize various scenarios of flooding and its associated damages to infrastructures. The Flood EViDEns application facilitates the release and utilization of this flood-related information through a user-friendly front end interface consisting of web map and tables. A public version of the application can be accessed at http://121.97.192.11:8082/. The application is currently expanded to cover additional sites in Mindanao, Philippines through the "Geo-informatics for the Systematic Assessment of Flood Effects and Risks for a Resilient Mindanao" or the "Geo-SAFER Mindanao" Program.

  3. A variational data assimilation system for soil–atmosphere flux estimates for the Community Land Model (CLM3.5

    Directory of Open Access Journals (Sweden)

    C. M. Hoppe

    2014-05-01

    Full Text Available This paper presents the development and implementation of a spatio-temporal variational data assimilation system (4D-var for the soil–vegetation–atmosphere transfer model "Community Land Model" (CLM3.5, along with the development of the adjoint code for the core soil–atmosphere transfer scheme of energy and soil moisture. The purpose of this work is to obtain an improved estimation technique for the energy fluxes (sensible and latent heat fluxes between the soil and the atmosphere. Optimal assessments of these fluxes are neither available from model simulations nor measurements alone, while a 4D-var data assimilation has the potential to combine both information sources by a Best Linear Unbiased Estimate (BLUE. The 4D-var method requires the development of the adjoint model of the CLM which is established in this work. The new data assimilation algorithm is able to assimilate soil temperature and soil moisture measurements for one-dimensional columns of the model grid. Numerical experiments were first used to test the algorithm under idealised conditions. It was found that the analysis delivers improved results whenever there is a dependence between the initial values and the assimilated quantity. Furthermore, soil temperature and soil moisture from in situ field measurements were assimilated. These calculations demonstrate the improved performance of flux estimates, whenever soil property parameters are available of sufficient quality. Misspecifications could also be identified by the performance of the variational scheme.

  4. Estimating the population-level impact of vaccines using synthetic controls

    DEFF Research Database (Denmark)

    Bruhn, Christian A. W.; Hetterich, Stephen; Schuck-Paim, Cynthia

    2017-01-01

    When a new vaccine is introduced, it is critical to monitor trends in disease rates to ensure that the vaccine is effective and to quantify its impact. However, estimates from observational studies can be confounded by unrelated changes in healthcare utilization, changes in the underlying health......, provides an appealing solution. With this approach, potential comparison time series are combined into a composite and are used to generate a counterfactual estimate, which can be compared with the time series of interest after the intervention. We sought to estimate changes in hospitalizations for all...... of the population, or changes in reporting. Other diseases are often used to detect and adjust for these changes, but choosing an appropriate control disease a priori is a major challenge. The “synthetic controls” (causal impact) method, which was originally developed for website analytics and social sciences...

  5. A Community-Level Initiative to Prevent Obesity: Results From Kaiser Permanente's Healthy Eating Active Living Zones Initiative in California.

    Science.gov (United States)

    Cheadle, Allen; Atiedu, Akpene; Rauzon, Suzanne; Schwartz, Pamela M; Keene, Laura; Davoudi, Mehrnaz; Spring, Rebecca; Molina, Michelle; Lee, Lynda; Boyle, Kathryn; Williamson, Dana; Steimberg, Clara; Tinajero, Roberta; Ravel, Jodi; Nudelman, Jean; Azuma, Andrea Misako; Kuo, Elena S; Solomon, Loel

    2018-05-01

    A growing number of health systems are leading health promotion efforts in their wider communities. What impact are these efforts having on health behaviors and ultimately health status? This paper presents evaluation results from the place-based Kaiser Permanente Healthy Eating Active Living Zones obesity prevention initiative, implemented in 2011-2015 in 12 low-income communities in Kaiser Permanente's Northern and Southern California Regions. The Healthy Eating Active Living Zones design targeted places and people through policy, environmental, and programmatic strategies. Each Healthy Eating Active Living Zone is a small, low-income community of 10,000 to 20,000 residents with high obesity rates and other health disparities. Community coalitions planned and implemented strategies in each community. A population-dose approach and pre and post surveys were used to assess impact of policy, program, and environmental change strategies; the analysis was conducted in 2016. Population dose is the product of reach (number of people affected by a strategy divided by target population size) and strength (the effect size or relative change in behavior for each person exposed to the strategy). More than 230 community change strategies were implemented over 3 years, encompassing policy, environmental, and programmatic changes as well as efforts to build community capacity to sustain strategies and make changes in the future. Positive population-level results were seen for higher-dose strategies, particularly those targeting youth physical activity. Higher-dose strategies were more likely to be found in communities with the longest duration of investment. These results demonstrate that strong (high-dose), community-based obesity prevention strategies can lead to improved health behaviors, particularly among youth in school settings. This article is part of a supplement entitled Building Thriving Communities Through Comprehensive Community Health Initiatives, which is

  6. The Role of the Executive-Level Student Services Officer within a Community College Organizational Structure

    Science.gov (United States)

    Hernandez, John; Hernández, Ignacio

    2014-01-01

    The unique nature and mission of community colleges directly shapes the role and function of a senior student affairs officer (SSAO). Broadly, the community college mission is shaped by a vision of fulfilling several commitments to local communities. This includes admitting all applicants through an open access admissions policy and providing…

  7. Identifying ozone-sensitive communities of (semi-)natural vegetation suitable for mapping exceedance of critical levels

    International Nuclear Information System (INIS)

    Mills, G.; Hayes, F.; Jones, M.L.M.; Cinderby, S.

    2007-01-01

    Using published data on the responses of individual species to ozone, 54 EUNIS (European Nature Information System) level 4 communities with six or more ozone-sensitive species (%OS) and c. 20% or more species tested for ozone sensitivity, were identified as potentially ozone-sensitive. The largest number of these communities (23) was associated with Grasslands, with Heathland, scrub and tundra, and Mires, bogs and fens having the next highest representation at 11 and 8 level 4 communities each respectively. Within the grasslands classification, E4 (Alpine and sub-alpine grasslands), E5 (Woodland fringes and clearings) and E1 (Dry grasslands) were the most sensitive with 68.1, 51.6 and 48.6%OS respectively. It is feasible to map the land-cover for these and other communities at level 2, but it may not be currently possible to map the land-cover for all communities identified to be ozone-sensitive at levels 3 and 4. - Grassland communities such as alpine and sub-alpine grasslands have the highest potential sensitivity ozone, based on the responses of their component species

  8. Community-acquired pneumonia in older patients: does age influence systemic cytokine levels in community-acquired pneumonia?

    LENUS (Irish Health Repository)

    Kelly, Emer

    2009-03-01

    Community-acquired pneumonia (CAP) is a major cause of death in the elderly. The age-related increase in comorbid illnesses plays a part but the effect of aging on the immune response may be equally important. We aimed to evaluate patients with CAP for evidence of a muted response to infection in elderly patients admitted to hospital compared with a younger patient group.

  9. Community-level demographic consequences of urbanization: an ecological network approach.

    Science.gov (United States)

    Rodewald, Amanda D; Rohr, Rudolf P; Fortuna, Miguel A; Bascompte, Jordi

    2014-11-01

    Ecological networks are known to influence ecosystem attributes, but we poorly understand how interspecific network structure affect population demography of multiple species, particularly for vertebrates. Establishing the link between network structure and demography is at the crux of being able to use networks to understand population dynamics and to inform conservation. We addressed the critical but unanswered question, does network structure explain demographic consequences of urbanization? We studied 141 ecological networks representing interactions between plants and nesting birds in forests across an urbanization gradient in Ohio, USA, from 2001 to 2011. Nest predators were identified by video-recording nests and surveyed from 2004 to 2011. As landscapes urbanized, bird-plant networks were more nested, less compartmentalized and dominated by strong interactions between a few species (i.e. low evenness). Evenness of interaction strengths promoted avian nest survival, and evenness explained demography better than urbanization, level of invasion, numbers of predators or other qualitative network metrics. Highly uneven networks had approximately half the nesting success as the most even networks. Thus, nest survival reflected how urbanization altered species interactions, particularly with respect to how nest placement affected search efficiency of predators. The demographic effects of urbanization were not direct, but were filtered through bird-plant networks. This study illustrates how network structure can influence demography at the community level and further, that knowledge of species interactions and a network approach may be requisite to understanding demographic responses to environmental change. © 2014 The Authors. Journal of Animal Ecology © 2014 British Ecological Society.

  10. Food-web dynamics and trophic-level interactions in a multispecies community of freshwater unionids

    Science.gov (United States)

    Nichols, S.J.; Garling, D.

    2000-01-01

    We compared feeding habits and trophic-level relationships of unionid species in a detritus-dominated river and an alga-dominated lake using biochemical analyses, gut contents, and stable-isotope ratios. The δ13C ratios for algae and other food-web components show that all unionids from both the river and the lake used bacterial carbons, not algal carbons, as their main dietary source, in spite of positive selection and concentration of diatoms and green algae from the water column in the gut and mantle cavity. Algae did provide key nutrients such as vitamins A and D and phytosterols that were bioaccumulated in the tissues of all species. The δ15N ratios for the multispecies unionid community in the Huron River indicated some differences in nitrogen enrichment between species, the greatest enrichment being found in Pyganadon grandis. These δ15N ratios indicate that unionids may not always feed as primary consumers or omnivores. Stable-isotope data were critical for delineating diets and trophic-level interactions of this group of filter-feeders. Further refinements in identifying bacterial and picoplankton components of the fine particulate organic matter are needed to complete our understanding of resource partitioning between multispecies unionid populations.

  11. Levels and Patterns of Participation and Social Interaction in an Online Learning Community for Learning to Teach

    Science.gov (United States)

    Tsai, I-Chun

    2011-01-01

    This study investigates how pre-service and in-service teachers participate in an online community for learning to teach. Members' levels and patterns of participation and social interaction were examined via social network analysis of activity logs and content analysis of interviews. The results of the analyses show that (a) members' levels and…

  12. Teaching/learning strategies for the essentials of baccalaureate nursing education for entry-level community/public health nursing.

    Science.gov (United States)

    Callen, Bonnie; Smith, Claudia M; Joyce, Barbara; Lutz, Jayne; Brown-Schott, Nancy; Block, Derryl

    2013-01-01

    The purpose of this article is to describe teaching/learning strategies for each of the 15 Essentials of Baccalaureate Nursing Education for Entry-Level Community/Public Health Nursing (ACHNE, 2009). Carper's ways of knowing serve as foundations for creating classroom and clinical experiences that focus on clinical action with community as client. Each community/public health essential is defined with relevance to community/public health nursing practice. Five teaching/learning strategies have been delineated for each essential with suggestions of teaching resources and/or target population application. Teaching/learning strategies that focus on community as client, population health, and the essential knowledge and competencies of C/PH nursing will help ensure preparation of baccalaureate prepared nurses with knowledge and skills to improve the health of populations. © 2013 Wiley Periodicals, Inc.

  13. The Suitability of Different Nighttime Light Data for GDP Estimation at Different Spatial Scales and Regional Levels

    Directory of Open Access Journals (Sweden)

    Zhaoxin Dai

    2017-02-01

    Full Text Available Nighttime light data offer a unique view of the Earth’s surface and can be used to estimate the spatial distribution of gross domestic product (GDP. Historically, using a simple regression function, the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS has been used to correlate regional and global GDP values. In early 2013, the first global Suomi National Polar-orbiting Partnership (NPP visible infrared imaging radiometer suite (VIIRS nighttime light data were released. Compared with DMSP/OLS, they have a higher spatial resolution and a wider radiometric detection range. This paper aims to study the suitability of the two nighttime light data sources for estimating the GDP relationship between the provincial and city levels in Mainland China, as well as of different regression functions. First, NPP/VIIRS nighttime light data for 2014 are corrected with DMSP/OLS data for 2013 to reduce the background noise in the original data. Subsequently, three regression functions are used to estimate the relationship between nighttime light data and GDP statistical data at the provincial and city levels in Mainland China. Then, through the comparison of the relative residual error (RE and the relative root mean square error (RRMSE parameters, a systematical assessment of the suitability of the GDP estimation is provided. The results show that the NPP/VIIRS nighttime light data are better than the DMSP/OLS data for GDP estimation, whether at the provincial or city level, and that the power function and polynomial models are better for GDP estimation than the linear regression model. This study reveals that the accuracy of GDP estimation based on nighttime light data is affected by the resolution of the data and the spatial scale of the study area, as well as by the land cover types and industrial structures of the study area.

  14. Estimating profit shifting in South Africa using firm-level tax returns

    DEFF Research Database (Denmark)

    Wier, Ludvig

    2016-01-01

    Using the universe of South African corporate tax returns for 2009–14, we estimate profit- and debt-shifting responses in South Africa. We find evidence that South African subsidiaries engage in profit shifting and that profit-shifting responses to tax incentives across all channels...

  15. Does the Level of Occupational Aggregation Affect Estimates of the Gender Wage Gap?

    Science.gov (United States)

    Kidd, Michael P.; Shannon, Michael

    1996-01-01

    Using data from the 1989 Canadian Labour-Market Activity Survey, when occupation is treated as a productivity-related characteristic, gender wage gap estimates are distorted. Using a larger number of occupations, the occupational aggregation by gender reflects barriers women face in attempting to enter male-dominated occupations. (SK)

  16. Sulphur levels in saliva as an estimation of sulphur status in cattle: a validation study

    NARCIS (Netherlands)

    Dermauw, V.; Froidmont, E.; Dijkstra, J.; Boever, de J.L.; Vyverman, W.; Debeer, A.E.; Janssens, G.P.J.

    2012-01-01

    Effective assessment of sulphur (S) status in cattle is important for optimal health, yet remains difficult. Rumen fluid S concentrations are preferred, but difficult to sample under practical conditions. This study aimed to evaluate salivary S concentration as estimator of S status in cattle.

  17. Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR

    NARCIS (Netherlands)

    Nevalainen, O.; Hakala, T.; Suomalainen, J.M.; Mäkipää, R.; Peltoniemi, M.; Krooks, A.; Kaasalainen, S.

    2014-01-01

    We propose an empirical method for nondestructive estimation of chlorophyll in tree canopies. The first prototype of a full waveform hyperspectral LiDAR instrument has been developed by the Finnish Geodetic Institute (FGI). The instrument efficiently combines the benefits of passive and active

  18. Estimating absolute sea level variations by combining GNSS and Tide gauge data

    Digital Repository Service at National Institute of Oceanography (India)

    Bos, M.S.; Fernandes, R.M.S; Vethamony, P.; Mehra, P.

    . Using the GNSS properties of two inland stations, Hyderabad and Bangalore, as a proxy of the noise observed at the coastal stations, we conclude that around 5 years of observations are required to estimate the vertical land motion with an accuracy...

  19. Development of a Model, Metal-reducing Microbial Community for a System Biology Level Assessment of Desulfovibrio vulgaris as part of a Community

    Energy Technology Data Exchange (ETDEWEB)

    Elias, Dwayne; Schadt, Christopher; Miller, Lance; Phelps, Tommy; Brown, S. D.; Arkin, Adam; Hazen, Terry; Drake, Megin; Yang, Z.K.; Podar, Mircea

    2010-05-17

    One of the largest experimental gaps is between the simplicity of pure cultures and the complexity of open environmental systems, particularly in metal-contaminated areas. These microbial communities form ecosystem foundations, drive biogeochemical processes, and are relevant for biotechnology and bioremediation. A model, metal-reducing microbial community was constructed as either syntrophic or competitive to study microbial cell to cell interactions, cell signaling and competition for resources. The microbial community was comprised of the metal-reducing Desulfovibrio vulgaris Hildenborough and Geobacter sulfurreducens PCA. Additionally, Methanococcus maripaludis S2 was added to study complete carbon reduction and maintain a low hydrogen partial pressure for syntrophism to occur. Further, considerable work has been published on D. vulgaris and the D. vulgaris/ Mc. maripaludis co-culture both with and without stress. We are extending this work by conducting the same stress conditions on the model community. Additionally, this comprehensive investigation includes physiological and metabolic analyses as well as specially designed mRNA microarrays with the genes for all three organisms on one slide so as to follow gene expression changes in the various cultivation conditions as well as being comparable to the co- and individual cultures. Further, state-of -the-art comprehensive AMT tag proteomics allows for these comparisons at the protein level for a systems biology assessment of a model, metal-reducing microbial community. Preliminary data revealed that lactate oxidation by D. vulgaris was sufficient to support both G. sulfurreducens and M. maripaludis via the excretion of H2 and acetate. Fumarate was utilized by G. sulfurreducens and reduced to succinate since neither of the other two organisms can reduce fumarate. Methane was quantified, suggesting acetate and H2 concentrations were sufficient for M. maripaludis. Steady state community cultivation will allow for

  20. Decoding size distribution patterns in marine and transitional water phytoplankton: from community to species level.

    Directory of Open Access Journals (Sweden)

    Leonilde Roselli

    Full Text Available Understanding the mechanisms of phytoplankton community assembly is a fundamental issue of aquatic ecology. Here, we use field data from transitional (e.g. coastal lagoons and coastal water environments to decode patterns of phytoplankton size distribution into organization and adaptive mechanisms. Transitional waters are characterized by higher resource availability and shallower well-mixed water column than coastal marine environments. Differences in physico-chemical regime between the two environments have been hypothesized to exert contrasting selective pressures on phytoplankton cell morphology (size and shape. We tested the hypothesis focusing on resource availability (nutrients and light and mixed layer depth as ecological axes that define ecological niches of phytoplankton. We report fundamental differences in size distributions of marine and freshwater diatoms, with transitional water phytoplankton significantly smaller and with higher surface to volume ratio than marine species. Here, we hypothesize that mixing condition affecting size-dependent sinking may drive phytoplankton size and shape distributions. The interplay between shallow mixed layer depth and frequent and complete mixing of transitional waters may likely increase the competitive advantage of small phytoplankton limiting large cell fitness. The nutrient regime appears to explain the size distribution within both marine and transitional water environments, while it seem does not explain the pattern observed across the two environments. In addition, difference in light availability across the two environments appear do not explain the occurrence of asymmetric size distribution at each hierarchical level. We hypothesize that such competitive equilibria and adaptive strategies in resource exploitation may drive by organism's behavior which exploring patch resources in transitional and marine phytoplankton communities.

  1. Community-level successes and challenges to implementing adolescent sex education programs.

    Science.gov (United States)

    Ott, Mary A; Rouse, Maura; Resseguie, Jamie; Smith, Hannah; Woodcox, Stephanie

    2011-02-01

    Best practices for adolescent sex education recommend science-based approaches. However, little is known about the capacity and needs of organizations who implement sex education programs on the local level. The purpose of this research was to describe successes and challenges of community organizations in implementing science-based sex education. Using qualitative methods, we interviewed program directors and educators in 17 state-funded adolescent pregnancy prevention/sex education programs as part of a larger mixed methods evaluation. Semi-structured interviews focused on success and challenges faced in implementing science-based approaches to program design, implementation and evaluation. Interviews were audio-recorded, transcribed and analyzed using a thematic approach. Grantees included a range of programs, from short programs on puberty and HIV for late elementary students, to skills-based curricular sex education programs for high schools, to year-long youth development programs. Key aspects of curricular choice included meeting the needs of the population, and working within time constraints of schools and other community partners. Populations presenting specific challenges included rural youth, youth in juvenile justice facilities, and working with Indiana's growing Latino population. Programs self-developing curricula described challenges related to assessment and evaluation of impact. Programs using commercial curricula described challenges related to curricular selection and adaptation, in particularly shortening curricula, and adapting to different cultural or social groups. A remarkable degree of innovation was observed. The use of qualitative methods permitted the identification of key challenges and successes in a state-sponsored small grants program. Information can be used to enhance program capacity and quality.

  2. Uptake of HIV testing in Burkina Faso: an assessment of individual and community-level determinants

    Directory of Open Access Journals (Sweden)

    Fati Kirakoya-Samadoulougou

    2017-05-01

    Full Text Available Abstract Background Previous studies have highlighted a range of individual determinants associated with HIV testing but few have assessed the role of contextual factors. The objective of this paper is to examine the influence of both individual and community-level determinants of HIV testing uptake in Burkina Faso. Methods Using nationally representative cross-sectional data from the 2010 Demographic and Health Survey, the determinants of lifetime HIV testing were examined for sexually active women (n = 14,656 and men (n = 5680 using modified Poisson regression models. Results One third of women (36%; 95% Confidence Interval (CI: 33–37% reported having ever been tested for HIV compared to a quarter of men (26%; 95% CI: 24–27%. For both genders, age, education, religious affiliation, household wealth, employment, media exposure, sexual behaviors, and HIV knowledge were associated with HIV testing. After adjustment, women living in communities where the following characteristics were higher than the median were more likely to report uptake of HIV testing: knowledge of where to access testing (Prevalence Ratio [PR] = 1.41; 95% CI: 1.34–1.48, willing to buy food from an infected vendor (PR = 2.06; 95% CI: 1.31–3.24, highest wealth quintiles (PR = 1.18; 95% CI: 1.10–1.27, not working year-round (PR = 0.90; 95% CI: 0.84–0.96, and high media exposure (PR = 1.11; 95% CI: 1.03–1.19. Men living in communities where the proportion of respondents were more educated (PR = 1.23; 95% CI: 1.07–1.41 than the median were more likely to be tested. Conclusions This study shed light on potential mechanisms through which HIV testing could be increased in Burkina Faso. Both individual and contextual factors should be considered to design effective strategies for scaling-up HIV testing.

  3. Estimation of the Level of Cognitive Development of a Preschool Child Using the System of Situations with Mathematical Contents

    Science.gov (United States)

    Gorev, Pavel M.; Bichurina, Svetlana Y.; Yakupova, Rufiya M.; Khairova, Irina V.

    2016-01-01

    Cognitive development of personality can be considered as one of the key directions of preschool education presented in the world practice, where preschool programs are educational ones, and preschool education is the first level of the general education. Thereby the purpose of the research is to create a model of reliable estimation of cognitive…

  4. Estimating contribution of wildland fires to ambient ozone levels in National Parks in the Sierra Nevada, California

    Science.gov (United States)

    Haiganoush K. Preisler; Shiyuan (Sharon) Zhong; Annie Esperanza; Timothy J. Brown; Andrzej Bytnerowicz; Leland Tarnay

    2010-01-01

    Data from four continuous ozone and weather monitoring sites operated by the National Park Service in Sierra Nevada, California, are used to develop an ozone forecasting model and to estimate the contribution of wildland fires on ambient ozone levels. The analyses of weather and ozone data pointed to the transport of ozone precursors from the Central Valley as an...

  5. Estimating Genetic and Environmental Influences on Depressive Symptoms in Adolescence: Differing Effects on Higher and Lower Levels of Symptoms

    Science.gov (United States)

    Rende, Richard; Slomkowski, Cheryl; Lloyd-Richardson, Elizabeth; Stroud, Laura; Niaura, Raymond

    2006-01-01

    We estimate the relative effect sizes of genetic and environmental influences on both higher and lower levels of depressive symptoms with attention to persistence over a 1-year period in the genetically informative subsample of adolescents participating in the National Longitudinal Study of Adolescent Health (Add Health). Shared environmental…

  6. Heritability estimates for the constitutional levels of the collectins mannan binding lectin and lung surfactant protein D

    DEFF Research Database (Denmark)

    Husby, Steffen; Herskind, Anne Maria; Jensenius, Jens Christian

    2002-01-01

    . Structural variants are also known for SP-D but these have not been linked to disease states. The aim of the present study was to provide heritability estimates for the constitutional levels of MBL and SP-D in children. A population of 26 monozygotic (MZ) and 36 dizygotic (DZ) like-sexed twin pairs aged 6...

  7. Using Conjoint Analysis to Estimate Employers Preferences for Key Competencies of Master Level Dutch Graduates Entering the Public Health Field

    Science.gov (United States)

    Biesma, R. G.; Pavlova, M.; van Merode, G. G.; Groot, W.

    2007-01-01

    This paper uses an experimental design to estimate preferences of employers for key competencies during the transition from initial education to the labor market. The study is restricted to employers of entry-level academic graduates entering public health organizations in the Netherlands. Given the changing and complex demands in public health,…

  8. A Comparison of Individual-Level and Community-Level Predictors of Marijuana and Cocaine Use among a Sample of Newly Arrested Juvenile Offenders

    Science.gov (United States)

    Childs, Kristina; Dembo, Richard; Belenko, Steven; Wareham, Jennifer; Schmeidler, James

    2011-01-01

    Variations in drug use have been found across individual-level factors and community characteristics, and by type of drug used. Relatively little research, however, has examined this variation among juvenile offenders. Based on a sample of 924 newly arrested juvenile offenders, two multilevel logistic regression models predicting marijuana test…

  9. Change in lameness risk estimates in piglets due to the modelling of herd-level variation

    DEFF Research Database (Denmark)

    Josiassen, M.K.; Christensen, J.

    1999-01-01

    (HEPS) system database. To further investigate the change in the effect parameter, we performed a simple test to demonstrate the presence of herd-level variation. Finding substantial herd-level variation, we have re-analysed the data with special attention to the herd-level variation, and how to account...... for it. When herd-level variation was not accounted for in the model, a detrimental effect of prior treatment of the sow was seen but this turned into a beneficial effect when we accounted for the herd-level variation. The treatment of sow refers to any therapeutic treatment given to the sow after...... farrowing but before lameness or weaning occurred. This is, therefore, an example where not only the variances but also the effect parameters changed when we accounted for herd-level variation....

  10. Making sense of climate change risks and responses at the community level: A cultural-political lens

    Directory of Open Access Journals (Sweden)

    Ainka A. Granderson

    2014-01-01

    Full Text Available How to better assess, communicate and respond to risks from climate change at the community level have emerged as key questions within climate risk management. Recent research to address these questions centres largely on psychological factors, exploring how cognition and emotion lead to biases in risk assessment. Yet, making sense of climate change and its responses at the community level demands attention to the cultural and political processes that shape how risk is conceived, prioritized and managed. I review the emergent literature on risk perceptions and responses to climate change using a cultural-political lens. This lens highlights how knowledge, meaning and power are produced and negotiated across multiple stakeholders at the community level. It draws attention to the different ways of constructing climate change risks and suggests an array of responses at the community level. It further illustrates how different constructions of risk intersect with agency and power to shape the capacity for response and collective action. What matters are whose constructions of risk, and whose responses, count in decision-making. I argue for greater engagement with the interpretive social sciences in research, practice and policy. The interpretive social sciences offer theories and tools for capturing and problematising the ways of knowing, sense-making and mobilising around risks from climate change. I also highlight the importance of participatory approaches in incorporating the multiplicity of interests at the community level into climate risk management in fair, transparent and culturally appropriate ways.

  11. Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-in

    Science.gov (United States)

    Halford, Keith; Garcia, C. Amanda; Fenelon, Joe; Mirus, Benjamin B.

    2012-12-21

    Water-level modeling is used for multiple-well aquifer tests to reliably differentiate pumping responses from natural water-level changes in wells, or “environmental fluctuations.” Synthetic water levels are created during water-level modeling and represent the summation of multiple component fluctuations, including those caused by environmental forcing and pumping. Pumping signals are modeled by transforming step-wise pumping records into water-level changes by using superimposed Theis functions. Water-levels can be modeled robustly with this Theis-transform approach because environmental fluctuations and pumping signals are simulated simultaneously. Water-level modeling with Theis transforms has been implemented in the program SeriesSEE, which is a Microsoft® Excel add-in. Moving average, Theis, pneumatic-lag, and gamma functions transform time series of measured values into water-level model components in SeriesSEE. Earth tides and step transforms are additional computed water-level model components. Water-level models are calibrated by minimizing a sum-of-squares objective function where singular value decomposition and Tikhonov regularization stabilize results. Drawdown estimates from a water-level model are the summation of all Theis transforms minus residual differences between synthetic and measured water levels. The accuracy of drawdown estimates is limited primarily by noise in the data sets, not the Theis-transform approach. Drawdowns much smaller than environmental fluctuations have been detected across major fault structures, at distances of more than 1 mile from the pumping well, and with limited pre-pumping and recovery data at sites across the United States. In addition to water-level modeling, utilities exist in SeriesSEE for viewing, cleaning, manipulating, and analyzing time-series data.

  12. A review of systematic and quantifiable methods of estimating the needs of a community for alcohol treatment services.

    Science.gov (United States)

    Crook, G M; Oei, T P

    1998-01-01

    The purpose of this paper was to review a variety of systematic and quantifiable methodologies for planning and evaluating the provision of alcohol treatment services for communities. These methods include: (a) developing and evaluating indicators of alcohol-related harm in and across defined geographic areas, to assess the relative need for services; (b) demand-oriented techniques that involve the prediction of future demand for services based on the previous utilisation of treatment facilities; (c) comprehensive systems approaches to planning services; and (d) the estimation of the prevalence of individuals who need or would benefit from an intervention for their alcohol problem. In practice, service planners may incorporate a combination of approaches that could be compared and contrasted to assess the convergent validity of results. These methodologies can also be used to provide information for planning and evaluating prevention/health promotion and early intervention initiatives.

  13. Monitoring of Level of Radiation Hazards to the Community in the Settlement Around the Incandescent Gas Mantle Factory

    International Nuclear Information System (INIS)

    Suryawati

    2000-01-01

    The analyze of radiation internal hazards level of thoron (Rn-220) and its daughter to the community settlement around the incandescent gas mantle factory. The radiation hazard level can be indicated in the form of working level (WL) and sffsctive dose lungs received by the community. The working level and effective dose lungs is got from the measurement of radioactivity level of thoron (Rn-220) and its daugther and by using the mathematical formula calculation. The measurement of thoron radioactive concentration and its daughter. The value of woking level obtained, performance level for community range from 0,001-0,013 WL, equivalent with dose range from 0,014- 0,467 mSv. From the research result, it can be identified that the radiation hazard, because exceed the mean value of threshold thorium radioactive nuclide and its daughter product of natural radiation in back ground per year for word mean i.e. 0,336 mSv, but the value of this research result is far below the allowed value limit for the community is 0,12 WL and 1 mSv/year

  14. Using multi-level data to estimate the effect of an 'alcogenic' environment on hazardous alcohol consumption in the former Soviet Union.

    Science.gov (United States)

    Murphy, Adrianna; Roberts, Bayard; Ploubidis, George B; Stickley, Andrew; McKee, Martin

    2014-05-01

    The purpose of this study was to assess whether alcohol-related community characteristics act collectively to influence individual-level alcohol consumption in the former Soviet Union (fSU). Using multi-level data from nine countries in the fSU we conducted a factor analysis of seven alcohol-related community characteristics. The association between any latent factors underlying these characteristics and two measures of hazardous alcohol consumption was then analysed using a population average regression modelling approach. Our factor analysis produced one factor with an eigenvalue >1 (EV=1.28), which explained 94% of the variance. This factor was statistically significantly associated with increased odds of CAGE problem drinking (OR=1.40 (1.08-1.82)). The estimated association with EHD was not statistically significant (OR=1.10 (0.85-1.44)). Our findings suggest that a high number of beer, wine and spirit advertisements and high alcohol outlet density may work together to create an 'alcogenic' environment that encourages hazardous alcohol consumption in the fSU. Copyright © 2014 Elsevier Ltd. All rights reserved.

  15. Non-HIV Pneumocystis pneumonia: do conventional community-acquired pneumonia guidelines under estimate its severity?

    Directory of Open Access Journals (Sweden)

    Asai Nobuhiro

    2012-06-01

    Full Text Available Abstract Background Non-HIV Pneumocystis pneumonia (PCP can occur in immunosuppressed patients having malignancy or on immunosuppressive agents. To classify severity, the A-DROP scale proposed by the Japanese Respiratory Society (JRS, the CURB-65 score of the British Respiratory Society (BTS and the Pneumonia Severity Index (PSI of the Infectious Diseases Society of America (IDSA are widely used in patients with community-acquired pneumonia (CAP in Japan. To evaluate how correctly these conventional prognostic guidelines for CAP reflect the severity of non-HIV PCP, we retrospectively analyzed 21 patients with non-HIV PCP. Methods A total of 21 patients were diagnosed by conventional staining and polymerase chain reaction (PCR for respiratory samples with chest x-ray and computed tomography (CT findings. We compared the severity of 21 patients with PCP classified by A-DROP, CURB-65, and PSI. Also, patients’ characteristics, clinical pictures, laboratory results at first visit or admission and intervals from diagnosis to start of specific-PCP therapy were evaluated in both survivor and non-survivor groups. Results Based on A-DROP, 18 patients were classified as mild or moderate; respiratory failure developed in 15 of these 18 (83.3%, and 7/15 (46.7% died. Based on CURB-65, 19 patients were classified as mild or moderate; respiratory failure developed in 16/19 (84.2%, and 8 of the 16 (50% died. In contrast, PSI classified 14 as severe or extremely severe; all of the 14 (100% developed respiratory failure and 8/14 (57.1% died. There were no significant differences in laboratory results in these groups. The time between the initial visit and diagnosis, and the time between the initial visit and starting of specific-PCP therapy were statistically shorter in the survivor group than in the non-survivor group. Conclusions Conventional prognostic guidelines for CAP could underestimate the severity of non-HIV PCP, resulting in a therapeutic delay

  16. Disparities in Children’s Blood Lead and Mercury Levels According to Community and Individual Socioeconomic Positions

    Science.gov (United States)

    Lim, Sinye; Ha, Mina; Hwang, Seung-Sik; Son, Mia; Kwon, Ho-Jang

    2015-01-01

    We aimed to examine the associations between blood lead and mercury levels and individual and community level socioeconomic positions (SEPs) in school-aged children. A longitudinal cohort study was performed in 33 elementary schools in 10 cities in Korea. Among a total of 6094 children included at baseline, the final study population, 2281 children followed-up biennially, were analyzed. The geometric mean (GM) levels of blood lead were 1.73 μg/dL (range 0.02–9.26) and 1.56 μg/dL (range 0.02–6.83) for male and female children, respectively. The blood lead levels were significantly higher in males, children living in rural areas, and those with lower individual SEP. The GM levels of blood mercury were 2.07 μg/L (range 0.09–12.67) and 2.06 μg/L (range 0.03–11.74) for males and females, respectively. Increased blood mercury levels were significantly associated with urban areas, higher individual SEP, and more deprived communities. The risk of high blood lead level was significantly higher for the lower individual SEP (odds ratio (OR) 2.18, 95% confidence interval (CI) 1.36–3.50 in the lowest educational attainment of the father), with a significant dose-response relationship observed after adjusting for the community SEP. The association between high blood lead levels and lower individual SEP was much stronger in the more deprived communities (OR 2.88, 95% CI 1.27–6.53) than in the less deprived communities (OR 1.40, 95% CI 0.76–2.59), and showed a significant decreasing trend during the follow-up only in the less deprived communities. The risk of high blood mercury levels was higher in higher individual SEP (OR 0.64, 95% CI 0.40–1.03 in the lowest educational attainment of the father), with a significant dose-response relationship noted. Significant decreasing trends were observed during the follow-up both in the less and more deprived communities. From a public health point-of-view, community level intervention with different approaches for

  17. An automated alpha scanner for estimating plutonium contamination levels on FBTR fuel pin

    International Nuclear Information System (INIS)

    Bagul, D.G.; Sharma, V.P.; Benadikar, S.V.; Karnani, N.K.; Kamath, K.V.

    1995-01-01

    An automated alpha scanner has been developed for estimating plutonium contamination on SS clad fuel pins fabricated in Radiometallurgy Division for Fast Breeder Test Reactor (FBTR). The unit can detect as low as 1% of the allowed contamination limit for the fuel pin. Because of automation, large number of pins can be systematically scanned for Pu contamination with minimum radiation exposure to the operator. (author). 3 refs., 1 fig., 1 tab

  18. The Use of Personal Value Estimations to Select Images for Preservation in Public Library Digital Community Collections

    Directory of Open Access Journals (Sweden)

    Andrea Copeland

    2014-05-01

    Full Text Available A considerable amount of information, particularly in image form, is shared on the web through social networking sites. If any of this content is worthy of preservation, who decides what is to be preserved and based on what criteria. This paper explores the potential for public libraries to assume this role of community digital repositories through the creation of digital collections. Thirty public library users and thirty librarians were solicited from the Indianapolis metropolitan area to evaluate five images selected from Flickr in terms of their value to public library digital collections and their worthiness of long-term preservation. Using a seven-point Likert scale, participants assigned a value to each image in terms of its importance to self, family and society. Participants were then asked to explain the reasoning behind their valuations. Public library users and librarians had similar value estimations of the images in the study. This is perhaps the most significant finding of the study, given the importance of collaboration and forming partnerships for building and sustaining community collections and archives.

  19. An individual-level meta-analysis assessing the impact of community-level sanitation access on child stunting, anemia, and diarrhea: Evidence from DHS and MICS surveys.

    Science.gov (United States)

    Larsen, David A; Grisham, Thomas; Slawsky, Erik; Narine, Lutchmie

    2017-06-01

    A lack of access to sanitation is an important risk factor child health, facilitating fecal-oral transmission of pathogens including soil-transmitted helminthes and various causes of diarrheal disease. We conducted a meta-analysis of cross-sectional surveys to determine the impact that community-level sanitation access has on child health for children with and without household sanitation access. Using 301 two-stage demographic health surveys and multiple indicator cluster surveys conducted between 1990 and 2015 we calculated the sanitation access in the community as the proportion of households in the sampled cluster that had household access to any type of sanitation facility. We then conducted exact matching of children based on various predictors of living in a community with high access to sanitation. Using logistic regression with the matched group as a random intercept we examined the association between the child health outcomes of stunted growth, any anemia, moderate or severe anemia, and diarrhea in the previous two weeks and the exposure of living in a commun