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73 results for “Human Resources”
Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI
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Human resources for research and innovation in Italy
<p>Human resources play a crucial role in enabling research and innovation. Key players include university students, PhD and master graduates, researchers holding a European grant supporting excellent researchers in carrying out ground-breaking, high-risk, high-gain, frontier research projects, entrepreneurs engaged in spin-offs, startups or innovation project supported by Horizon 2020 <em>SME instrument</em> grants.</p> <p>Data is generally available, but often it is not easy to use due to different formats and vocabularies and the variety of geographical references (city names, province, region or zip codes).</p> <p>This file collection is part of ongoing research work carried out by the sustainability unit at Area Science Park. Data is collected from a variety of open sources, curated and prepared for further analysis. The focus is on Italy; geographical references use EUROSTAT NUTS-2 and NUTS-3 taxonomy.</p> <p>Data available: </p> <ul> <li>Maps of NUTS2 and NUTS2 regions in Italy</li> <li>NUTS2 and NUTS3 names in Italian</li> <li>Universities </li> <li>Phd and Masters graduates since 2010</li> <li>University spin-offs </li> <li>Innovative Startups</li> <li>Horizon 2020 grants for researchers: "<em>Marie Skłodowska Curie</em>" and "<em>European Research Council</em>"</li> <li>Horizon 2020 grants "<em>SME instrument</em>"</li> </ul> <p>Python scripts for data preparation are available in script.zip; development version is available on <a href="https://gitlab.com/area-science-park-sustainability/it_regional_innovation">this GitLab repository</a><br> Some examples of visual representation of the data are available in .pdf format and as <a href="https://app.powerbi.com/view?r=eyJrIjoiMWMyMjA1OWQtMzJmNi00NWJmLTk1OTctMzczZWUxYjYzYzFmIiwidCI6ImQ0YWFmY2E2LWJmMzUtNDUxNS1iMDZhLTQ5NzNjZGZiYmVkMyIsImMiOjh9&pageName=ReportSection3090d63ae7727ef701e8">online interactive visualization report.</a></p>
Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism
<ul> <li>Eight versions of COBRA-compliant SBML files are available for each Recon 2M.1 and Recon 2M.2 depending on the use of: MNXref versus BiGG IDs; Entrez gene IDs (GPR associations) versus Ensembl transcript IDs versus RefSeq transcript IDs versus UCSC transcript IDs (TPR associations for the last three database IDs).</li> <li>892 personal GEMs (only T-GEMs) built with Recon 2.2</li> <li>1,784 personal GEMs (both P-GEMs and T-GEMs) built with Recon 2M.1</li> <li>892 personal GEMs (only T-GEMs) built with Recon 2M.2</li> </ul> <p> </p> <p><strong>Publication</strong></p> <p>Jae Yong Ryu<sup>1</sup>, Hyun Uk Kim<sup>1</sup> & Sang Yup Lee<sup>*</sup>. Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism., <em>Proc. Natl. Acad. Sci. U.S.A.</em>, 2017, http://www.pnas.org/content/early/2017/10/23/1713050114</p> <p> </p>
ATAC-seq processing resources for the GRCh38 (hg38) assembly of the human genome
<p>A collection of publicly available, but preprocessed, reference data for the analysis of ATAC-seq samples using the GRCh38 (hg38) assembly of the human genome using the <a href="https://doi.org/10.5281/zenodo.6323634">Ultimate ATAC-seq Data Processing & Analysis Pipeline</a> (details in the documentation on GitHub).</p>
Extended dataset and Coreq Checklist for 'Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources"
<p>Individual user test interview guides and group interview guides for multiple stakeholders</p> <p>Coreq checklist</p> <p>Design reporting checklist</p>
Dataset for "Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources"
<p>A qualitative dataset for the article: Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources</p> <p>We collected this data in Phase 2 of the work described in the article, to inform development of educational resources (<em>Be Smart About Your Health</em>) to support teaching critical thinking about health claims and making informed health choices for use in secondary schools, based on a set of Informed Health Choices Key Concepts. </p> <p>Data collection methods: individual and group interviews, observation of classroom pilots, in Kenya, Rwanda, and Uganda, and via email from an international advisory group. Timeframe for data collection and analysis: 2020-2022</p> <p>This dataset is a part of the research project: <em>Enabling sustainable public engagement in improving health and health equity, </em>2019-2024. Funded by GLOBVAC programme, Research Council of Norway. </p> <p> </p>
Resource fluctuations inhibit the reproduction and virulence of the human parasite Schistosoma mansoni in its snail intermediate host
Resource availability can powerfully influence host-parasite interactions. However, we currently lack a mechanistic framework to predict how resource fluctuations alter individual infection dynamics. We address this gap with experiments manipulating resource supply and starvation for a human parasite, Schistosoma mansoni, and its snail intermediate host to test a hypothesis derived from mechanistic energy budget theory: resource fluctuations should reduce schistosome reproduction and virulence by inhibiting parasite ingestion of host biomass. Low resource supply caused hosts to remain small, reproduce less, and produce fewer human-infectious cercariae. Periodic starvation also inhibited cercarial production and prevented infection-induced castration. The periodic starvation experiment also revealed substantial differences in fit between two bioenergetic model variants, which differ in their representation of host starvation. Simulations using the best fit parameters of the winning model suggest that schistosome performance substantially declines with resource fluctuations with periods >7 days. These experiments strengthen mechanistic theory that can be readily scaled up to the population level to understand key feedbacks between resources, host population dynamics, parasitism, and control interventions. Integrating resources with other environmental drivers of disease in an explicit bioenergetic framework could ultimately yield mechanistic predictions for many disease systems.
Dataset accompanying paper submission for "Toward data-driven generation and evaluation of model structure for integrated representations of human behavior in water resources systems"
<p>This data set accompanies code archived at DOI: <a href="https://doi.org/10.5281/zenodo.3833186">10.5281/zenodo.3833186</a>, which was used in the experiments for the paper submission "Toward data-driven generation and evaluation of model structure for integrated representations of human behavior in water resources systems"</p>
A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk
<p>This repository contains code and data to reproduce results from the manuscript 'A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk'. </p>
Data and code to reproduce analyses in Heinken et al, "A genome-scale metabolic reconstruction resource of 247,092 diverse human microbes spanning multiple continents, age groups, and body sites"
<p>This datasets archives the GitHub version found at https://github.com/ThieleLab/CodeBase to reproduce simulations for the article Heinken et al, "A genome-scale metabolic reconstruction resource of 247,092 diverse human microbes spanning multiple continents, age groups, and body sites", Cell Systems, in press.</p>
ICRP Recommendations May Be Fit-For-Purpose, But Without Adequate Human Resources, We Just Won't Get There
<p>In many countries in the world radiation protection faces an acute shortage of human resources. In particular, the medical-physics and radiation-protection professions face an acute shortage of entrants owing to the irregular number of physics/engineering graduates and low popularity of two year masters programmes. Under such conditions ICRP recommendations may of themselves be very much fit-for-purpose, however their implementation in practice is fraught with difficulties and sometimes of a dubious level. A formula needs to be found to: (a) ensure that the potential stock of entrants to the professions would be independent of erratic student numbers in physics/engineering (b) address the paradox of having to reduce the masters programme to one year at a time when the knowledge-skills-competences required for modern medical-physics / radiation-protection practice are expanding rapidly owing to the increasing complexity of medical device technology and clinical protocols. It was considered that the best way forward would be to opt for an undergraduate inter-faculty programme that combined physics and medical physics/radiation protection. The resulting four year programme consists of 5 parallel strands namely physics/mathematics/statistics, medical-physics/radiation-protection, basic-medical-sciences, research and hospital placements. The physics/mathematics/statistics component is sufficiently strong to ensure a strong scientific foundation whilst the medical-physics/radiation-protection component is sufficiently comprehensive to permit the reduction of the Masters in Medical Physics from two years to one. We are pleased to report that the innovative curricular experiment has been a great success. The combination of pure and applied physics, the inter-faculty nature of the programme (where students share lectures with both physics and healthcare professions students) together with the element of clinical practice have been found to be the most attractive features of the programme. The programme has provided a welcome boost for both the medical-physics/radiation-protection professions and indeed even physics itself.</p>
Human review for post-training improvement of low-resource language performance in large language models
<p>Large language models (LLMs) have significantly improved natural language processing, holding the potential to support health workers and their clients directly. Unfortunately, there is a substantial and variable drop in performance for low-resource languages. Here we present results from an exploratory case study in Malawi, aiming to enhance the performance of LLMs in Chichewa through innovative prompt engineering techniques. By focusing on practical evaluations over traditional metrics, we assess the subjective utility of LLM outputs, prioritizing end-user satisfaction. Our findings suggest that tailored prompt engineering may improve LLM utility in underserved linguistic contexts, offering a promising avenue to bridge the language inclusivity gap in digital health interventions.</p>
Financial, supplies, and human resource preparedness in management of COVID-19 pandemic among dental facilities in Nairobi County, Kenya
<p>The COVID-19 pandemic put a strain on healthcare facilities across the globe. Dental facilities pose the highest COVID-19 transmission risk categories due to the aerosol-generating procedures involved in dental practice. This study aimed to determine financial, supplies, and human resource preparedness in managing the COVID-19 pandemic among Nairobi County, Kenya dental facilities. A cross-sectional study was conducted using a mixed-methods approach among 183 dental facilities in Nairobi County. Data was collected using a KoboCollect questionnaire and analyzed using MS Excel and SPSS version 26. Dental facilities' readiness was assessed using the ReadyScore Criteria. Qualitative data was collected through one-on-one interviews with key informants and analyzed thematically. Readyscore Criteria analysis showed that 39 (21.3%) of the evaluated dental facilities were considered "ready," while 133 (72.7%) and 11 (6%) were considered to have "work to do" and "not ready" for the pandemic. Bivariate analysis showed that the level of facility (p<0.001), presence of other departments (p<0.001), funds sufficiency for COVID-19 emergency response (p=0.001), and clients attended per month (p=0.017) were statistically significant factors associated with pandemic preparedness scores. Regression analysis revealed that the presence of other departments among the dental facilities was a significant predictor of readiness, with a 4.5 times higher likelihood of being ready for a pandemic (aOR 4.591; 1.471–14.327, p=0.009) compared to other facilities. Support from healthcare authorities and capacity-building initiatives are recommended to enhance preparedness and resilience among dental facilities in the face of the COVID-19 pandemic.</p>
Key Resource Table associated with "Endo-IP and Lyso-IP Toolkit for Endolysosomal Profiling of Human Induced Neurons"
<p>This entry contains a Key Resource table associated with: https://doi.org/10.1101/2024.09.24.614704</p>
BIG DATA ANALYTICS IN DIGITAL HUMAN RESOURCES MANAGEMENT: IMPACT ON THE RECRUITMENT PROCESS
<p>This study investigates how HR employees experience the big data phenomenon in the recruitment function of HRM and how their perceptions of the phenomenon have evolved. This study also examines how BD will affect organizational and HRM and how it can be improved in other functions of HR. In this exploratory study, which comprehensively addresses the BD phenomenon in HRM, the phenomenological design approach, one of the qualitative research methods, was applied to test the research questions and a semi-structured interview form was used for research data. Using the snowball sampling method, in-depth interviews were conducted with 10 HR employees working in large and semi-structured organizations in Turkey and the interviews were analyzed with MAXQDA 20. The findings show that HRM employees are aware of BD. On the other hand, it is understood that BD technologies provide easy accessibility in recruitment, offer a strategic competitive advantage, and enable more effective management of information management, which saves HR employees' work in a facilitating way. They benefit from technology as a decision support assistant. Finally, the research results provide theoretical and practical implications for future researchers and practitioners for the development and effective use of BD technology in the field of HRM.</p>
Resource selection by New York City deer reveals the effective interface between wildlife, zoonotic hazards, and humans
<p class="MsoNormal"><span>Although the role of host movement in shaping infectious disease dynamics is widely acknowledged, methodological separation between animal movement and disease ecology has prevented researchers from leveraging empirical insights from movement data to advance landscape scale understanding of infectious disease risk. To address this knowledge gap, we examine how movement behavior and resource utilization by white-tailed deer (<em>Odocoileus virginianus</em>) determines blacklegged tick (<em>Ixodes scapularis</em>) distribution, which depend on deer for dispersal in a highly fragmented New York City borough. Multi-scale hierarchical resource selection analysis and movement modeling provide insight into how deer's movements contribute to the risk landscape for human exposure to the Lyme disease vector–<em>I. scapularis</em>. We find deer select highly vegetated and accessible residential properties which support blacklegged tick survival. We conclude the distribution of tick-borne disease risk results from individual resource selection by deer across spatial scales in response to habitat fragmentation and anthropogenic disturbances.</span></p>
Resource for teaching human genetics at the college level to combat harmful misconceptions
<p><span>How we teach human genetics matters for social equity. The biology curriculum appears to be a crucial locus of intervention for either reinforcing or undermining students' racial essentialist views. The Mendelian genetic models dominating textbooks, particularly in combination with racially inflected language sometimes used when teaching about monogenic disorders, can increase middle and high school students' racial essentialism and opposition to policies to increase equity. These findings are of particular concern given the increasing spread of racist misinformation online and misappropriation of human genomics research by white supremacists, who take advantage of low levels of genetics literacy in the general public. Encouragingly, however, teaching updated information about the geographic distribution of human genetic variation and the complex, multifactorial basis of most human traits, reduces students' endorsement of racial essentialism. The genetics curriculum is therefore a key tool in combating misinformation and scientific racism. Here, we describe a framework and example teaching materials for teaching students key concepts in genetics, human evolutionary history, and human phenotypic variation at the undergraduate level. This framework can be flexibly applied in biology and anthropology classes and adjusted based on time availability. Our goal is to provide college instructors with varying levels of expertise with a set of evidence-informed tools for teaching human genetics to combat scientific racism, including an evolving set of instructional resources, as well as learning goals and pedagogical approaches instructors can apply when teaching genetics. Additionally, we hope to generate conversation about integrating modern genetics into the undergraduate curriculum, in light of recent findings about the risks and opportunities associated with teaching genetics.</span></p>
Human Versus Analogue Insulin for Youth With Type 1 Diabetes in Low-Resource Settings
ClinicalTrials.gov study NCT05614089. IPD Sharing: YES. Countries: 2. Publications: 1.
Resource for teaching human genetics at the college level to combat harmful misconceptions
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Human review for post-training improvement of low-resource language performance in large language models
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.