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100 results for “community organization”
Burden of cardiometabolic risk factors and preclinical target organ damage among adults in Freetown, Sierra Leone: a community-based health-screening survey
<p>The study aimed to investigate the prevalence of cardiometabolic risk factors (CMRFs), target organ damage and its associated factors among adults in Freetown, Sierra Leone.</p> <p><strong>Design</strong></p> <p>This community-based cross-sectional study used a stratified multistage random sampling method to recruit adult participants. </p> <p><strong>Setting </strong></p> <p>The health screening study was conducted between October 2019 and October 2021 in Western Area Urban, Freetown, Sierra Leone. </p> <p><strong>Participants</strong></p> <p>A total of 2394 adults Sierra Leoneans aged 20 years, or more were enrolled.</p> <p><strong>Outcome measure </strong></p> <p>Anthropometric data, fasting lipid profiles, fasting plasma glucose, target organ damage, clinical profiles and demographic characteristic of participants were described. The cardiometabolic risks were further related to target organ damage.</p> <p><strong>Results</strong></p> <p>The prevalence of known CMRFs was 35.3% for hypertension, 8.3% for diabetes mellitus, 21.1% for dyslipidemia, 10.0% for obesity, 13.4% for smoking and 37.9% for alcohol. Additionally, 16.1% had left ventricular hypertrophy (LVH) by ECG, 14.2% had LVH by 2D-Echo while 11.4% had chronic kidney disease. Diabetes [OR = 1.176, 95% C.I. (0.759 - 1.823)] and dyslipidaemia [OR = 1.844, 95% C.I. (1.006 -3.380)] were independently associated with LVH. LVH by Echo shows an independent association with diabetes mellitus [OR =1.176, 95% C.I (0.759-1.823)] and dyslipidemia [OR = 1.844, 95% C.I (1.006-3.380)]. The odds of having CKD were associated with diabetes mellitus [OR =1.212, 95% CI (0.741-1.983)] and hypertension [OR =1.163, 95% CI (0.887-1.525)]. A low optimal cut-off points for ECG-LVH (male 24.5 vs female 27.5mm) was required to maximize sensitivity and specificity. </p> <p><strong>Conclusions</strong></p> <p>This study provides novel data-driven information on the burden of cardiometabolic risks and its association with preclinical target organ damage in a resource limited setting. It illustrates the need for interventions in improve cardiometabolic health screening and management among adults in Sierra Leoneans. </p>
Soil microbial community, dissolved organic matter and nutrient cycling interactions change along an elevation gradient in subtropical China
<p>This table contains data on soil dissolved organic matter at different elevations in Wuyi Mountain, China, which is attached to the manuscript submitted to Journal of Environmental Management (Manuscript ID:JEMA-D-23-01912). </p>
A Quality Improvement Process to Support Delivery of Cardiovascular Care in Community Mental Health Organizations
ClinicalTrials.gov study NCT04696653. IPD Sharing: NO. Countries: 1. Publications: 2.
Soil microbial diversity and community composition during conversion from conventional to organic agriculture
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Tree mycorrhizal associations regulate relationships between plant and microbial communities and soil organic carbon stocks at local scales in a temperate forest
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comspat: an R package to analyze within-community spatial organization using species combinations
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Burden of cardiometabolic risk factors and preclinical target organ damage among adults in Freetown, Sierra Leone: a community-based health-screening survey
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Data from: Contrasting patterns of functional diversity in coffee root fungal communities associated with organic and conventionally-managed fields
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Datasets for: Primary production and habitat stability organize marine communities
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FIGURE 19 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURE 19. Species abundance distributions of Empidoidea (Empididae, Hybotidae, Dolichopodidae & Brachystomatidae combined) in dry lowland forest (DL), mid elevation evergreen forest (EM) and moist hill evergreen (MHE) communities as delimited by cluster analysis in Figure 17. Main figure. Rank / abundance plots of log10 of abundance as a percentage of the most abundant species plotted against species rank (from highest to lowest). Inset. k-dominance plots of relative cumulative abundance plotted against log10 species rank (from highest to lowest).
FIGURES 17–18 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURES 17–18. Cluster analysis of Empidoidea (Empididae, Hybotidae, Dolichopodidae & Brachystomatidae combined) using unweighted pair-group average and Sorensen similarity. Bootstrapping was performed with 1000 resamples; the percentage of replicates where each of the major clusters is still supported is shown at nodes. 17, Clustering of data for a full year for each individual trap on Doi Inthanon during 2014. Individual traps are identified at termini and clusters designated as A, B, C and D are indicated. Communities defined by the major clusters A, C and D are assigned names broadly consistent with the forest biotopes and elevations they occupy; MHE, moist hill evergreen; EM, evergreen mid-elevation; DL, dry lowland; 18, Clustering of data for each trap during a four month period during the early-monsoon (April–July) and late-monsoon (September–December). Individual traps are identified at the termini with a suffix "early" of "late". E and F indicate major clusters.
FIGURE 16 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURE 16. Variation in taxonomic distinctness (J*) of Empidoidea (Empididae, Hybotidae, Dolichopodidae & Brachystomatidae combined) with elevation on Doi Inthanon (solid line). Values of J* were calculated for Empidoidea sampled throughout 12 months in all traps operated at each 500 m elevation zone (<500, 500–1000, 1000–1500, 1500–2000, 2000–2500, &>2500 m) and were plotted against the mean elevation of all traps in each zone. Data were fitted to a linear regression model in PAST (solid line; r2 = 0.8804, p = 0.0056) and 95% confidence intervals (dashed line) were computed from 1000 random replicates taken from the pooled data set.
FIGURE 15 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURE 15. Spatiotemporal variation in Mean Local Turnover (βwL) of species of Empidoidea through 12 months sampling over six 500m elevation zones at Doi Inthanon in 2014. Values of βwL are plotted on a grid of elevation zone (vertical axis) and months (horizontal axis) using the multiquadric gridding algorithm in PAST. Values of βwL (indicated by colour scale bar) vary between 0 (complete identity) and 1.0 (complete non-identity). Data are not available for January and February at <500 m and 500–1000 m.
FIGURES 9–12 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURES 9–12. Spatiotemporal variation in relative abundance (A* = number of individuals. trap-1. month-1). 9, Empididae; 10, Hybotidae; 11, Dolichopodidae; 12, Empidoidea (Empididae, Hybotidae, Dolichopodidae & Brachystomatidae combined). Values of A* from 12 months sampling over six 500 m elevation zones at Doi Inthanon in 2014 were log2 transformed [as log2(1+A*)] and plotted on a grid of elevation zone (vertical axis) and months (horizontal axis) using the multiquadric gridding algorithm in PAST. Values of A* are indicated by the colour scale bars (note logarithmic scale). Data were not available for January and February at <500 m and 500–1000 m.
FIGURES 5–8 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURES 5–8. Spatiotemporal variation in observed species richness (Sobs). 5, Empididae; 6, Hybotidae; 7, Dolichopodidae; 8, Estimated species richness (Chao1) of Empidoidea (Empididae, Hybotidae, Dolichopodidae & Brachystomatidae combined). Data from 12 months sampling over six 500 m elevation zones at Doi Inthanon in 2014 are plotted on a grid of elevation zone (vertical axis) and months (horizontal axis) using the multiquadric gridding algorithm in PAST. Values of Sobs and Chao1 are indicated by the colour scale bars. Data were not available for January and February at <500 m and 500–1000 m.
FIGURE 4 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURE 4. Monthly variation in relative abundance, A* (number of individuals. trap-1. month-1) of Empididae, Hybotidae and Dolichopodidae at all elevations on Doi Inthanon during 2014.
FIGURES 13–14. Spatiotemporal variation. 13 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURES 13–14. Spatiotemporal variation. 13, Berger-Parker Dominance (DBP); 14, Equitability (J) of Empidoidea (Empididae, Hybotidae, Dolichopodidae & Brachystomatidae combined) through 12 months sampling over six 500 m elevation zones at Doi Inthanon in 2014. Values of DBP and J were calculated in PAST for each month in each elevation zone and smoothed using the adjacent elevation and month algorithm (see Material & methods) before plotting on a grid of elevation zone (vertical axis) and months (horizontal axis) using the multiquadric gridding algorithm in PAST. Values of DBP and J are indicated by the colour scale bars. Data were not available for January and February at <500 m and 500–1000 m.
FIGURE 3 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURE 3. Monthly variation in species richness (Sobs) of Empididae, Hybotidae, Brachystomatidae and Dolichopodidae at all elevations on Doi Inthanon during 2014.
FIGURE 2 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURE 2. Variation in relative abundance, A* (number of individuals. trap-1. month-1) of Empididae, Hybotidae and Dolichopodidae across different elevation zones on Doi Inthanon. Note that A* is log10 scale. Error bars indicate standard error.
FIGURE 1 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand
FIGURE 1. Species richness in each elevation zone as percentage of total richness for each family (%Sobs) at all elevations of Empididae (open squares), Brachystomatidae (closed squares), Dolichopodidae (shaded box) and Hybotidae (plain box) on Doi Inthanon.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.