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5 results for “community kitchen”
Inferring the evolutionary model of community-structuring traits with convolutional kitchen sinks: Code and data
<p>When communities are assembled through processes such as filtering or limiting similarity acting on phylogenetically conserved traits, the evolutionary signature of those traits may be reflected in patterns of community membership. We show how the model of trait evolution underlying community-structuring traits can be inferred from community membership data using both a variation of a traditional eco-phylogenetic metric--the mean pairwise distance (MPD) between taxa--and a recent machine learning tool, Convolutional Kitchen Sinks (CKS). Both methods perform well across a range of phylogenetically informative evolutionary models, but CKS outperforms MPD as tree size increases. We demonstrate CKS by inferring the evolutionary history of freeze tolerance in angiosperms. Our analysis is consistent with a late burst model of freeze tolerance, suggesting it evolved recently. We suggest that data ordered on phylogenies such as trait values, species interactions, or community presence/absence are good candidates for CKS modeling because the generative models produce structured differences between neighboring points that CKS is well-suited for. We introduce the R package <em>kitchen</em> to perform CKS for generic application of the technique.</p>
Inferring the evolutionary model of community-structuring traits with convolutional kitchen sinks: Code and data
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Data from: Perceived impact of community kitchens on the food security of Syrian refugees and kitchen workers in Lebanon: Qualitative evidence in a displacement context
Community kitchens (CKs) have been recommended as public health strategies with social and nutritional health benefits for low-income participants and their families in different settings. The benefit of CKs in improving the food security status of participants in the context of conflict and displacement is less conclusive. This study aimed to qualitatively explore the impact of CKs on the food security status of community kitchen workers (CWs) and Syrian refugee (SR) families in Lebanon. An exploratory qualitative descriptive approach was adopted. Focus group discussions were conducted with 15 CWs and 49 SRs, and transcripts were analyzed thematically. Emerging themes included: motivation to join the CKs (CWs only), perception towards CKs, impact of these CKs, and their sustainability (both groups). Motivating factors for CWs included financial, internal and societal drivers, and the favorable type of work in kitchens. The perception towards CKs was overall positive among CWs and SR beneficiaries. Both groups reported the positive impact of CKs on their food security and financial status, which in turn affected positively their psychological health. At the social level, CWs indicated that the kitchen's friendly atmosphere increased social cohesion and companionship between Syrians and Lebanese within the kitchen. In addition, CWs reported increased sense of empathy towards SRs benefiting from the CK services. According to study participants, the positive impact of the CKs was almost completely reversed when their operation and services were interrupted for two months. Both CWs and SRs identified facilitators and barriers that can affect the sustainability of the kitchens, including financial and entrepreneurial skills. In conclusion, findings from this study highlight that CKs can be promising programs to improve the food security and livelihoods of participants, while also increasing social cohesion and integration of refugees within host communities in protracted crisis contexts.
Data from: Perceived impact of community kitchens on the food security of Syrian refugees and kitchen workers in Lebanon: Qualitative evidence in a displacement context
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Sandhills Community Kitchen Evaluation: Using the Veggie Meter
ClinicalTrials.gov study NCT05494814. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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.
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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.