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400 results for “trust”
Malaysia unit trust funds dataset
<p>Data set availability for F1000research journal.</p>
Trusted World of Corona (TWOC) - WHO COVID-19 Case Report Form (CRF) Synthetic Data - FAIR
<p>The synthetic dataset that models COVID-19 real world observations from WHO COVID-19 RAPID Version CRFs of hospitalized patients for the hypothesis under study, originally created by the TWOC project.</p>
Does the white coat influence satisfaction, trust and empathy in the doctor-patient relationship in the general and family medicine consultation? - interventional study
<p>Objectives: To understand the influence of the white coat on patient satisfaction, opinions about medical clothing, perception about confidence, empathy and medical knowledge and the satisfaction and comfort level of physicians in consultation.</p> <p>Setting: An interventional study was conducted with a representative sample of the population attending primary care in central Portugal.</p> <p>Participants: The sample was composed by 286 patients divided into two groups exposed or not to a doctor wearing a white coat. The first and last patients in consultation every day for 10 consecutive days were included.</p> <p>Interventions: Every other day the volunteer physicians consulted with or without the use of a white coat. At the end of the consultation, a questionnaire was distributed to the patient with simple questions with a Likert scale response, the Portuguese version of the "Trust in physician" scale and the JSPPPE-VP scale. A questionnaire was also distributed to the physician.</p> <p>Outcomes: Planned and measured primary outcomes were patient satisfaction, trust and perception about empathy and secondary outcomes were opinion about medical clothing, satisfaction and comfort level of physicians in consultation.</p> <p>Results: The sample was homogeneous in terms of sociodemographic variables. There were no statistically significant differences between the groups in terms of satisfaction, trust, empathy and knowledge perceived by the patients. There were differences in the opinion of the patients about the white coat, and when the physician was wearing the white coat this group of patients tended to think that this was the only acceptable attire for the physician (p<0.001). But, when the family physician was in consultation without the white coat, this group of patients tended to agree that communication was easier (p=0.001).</p> <p>Conclusions: There was no significant impact of the white coat in patient satisfaction, empathy, and confidence in the family physician.</p> <p>Trial Registration: ClinicalTrials.gov</p> <p>ID Number: NCT03965416</p>
The hybrid future of software engineering trades trust and coordination for flexibility and cost savings
<p>Unzip the "Archive" file to view the data files relating to the semi-automated and manual analysis of the interview data for this study.</p>
BotScreen: Trust Everybody, but Cut the Aimbots Yourself
<p>This data contains pre-processed gameplay data, pre-trained model and pre-evaluated data for paper "BotScreen: Trust Everybody, but Cut the Aimbots Yourself".</p> <p>Please refer to this <a href="https://github.com/SoftSec-KAIST/BotScreen">repository</a> for more information.</p> <p>Version 2 - Removed .DS_Store and __MACOSX</p>
"Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging" - Supporting Data
<p>Extracted data used to create the figures supporting the publication "Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging", submitted to Applied Soft Computing.</p> <p> </p> <p> </p>
Turning to Religion as a Mediator of the Relationship Between Hopelessness and Job Satisfaction During the COVID-19 Pandemic Among Individuals Representing the Uniformed Services or Working in Professions of Public Trust in Poland
<p><strong>Introduction.</strong> During the COVID-19 pandemic individuals performing uniformed service or working in a profession of public trust are particularly exposed to chronic stress. The consequences of stress in turn translate into a decrease in quality of life across various domains, including professional functioning. The perceived mental difficulties can lead to feeling of hopelessness, which in turn can generate a decrease in job satisfaction. Religiosity is a factor which, in stress-inducing conditions, not only stops the spiral of perceived resource losses but also triggers gains in the resources possessed.</p> <p><strong>Aim.</strong> In this study, we tested - in the light of Conservation of resources theory (COR) - whether during the COVID-19 pandemic, the preference for positive religious coping strategies (turning to religion) by people declaring religiosity is a mediator for the relationship between perceived hopelessness and job satisfaction.</p> <p><strong>Methods.</strong> The study covered 238 individuals representing the uniformed services or working in professions of public trust in Poland. The Inventory for Measuring Coping with Stress (MINI-COPE) and The Beck Hopelessness Scale (BHS) and were employed in the research. <strong>Results.</strong> The mediating role of turning to religion in relationship between perceived hopelessness and job satisfaction was confirmed only in the group of women. The relationship found in this group indicates that perceived hopelessness is alleviated by turning to religion, which at the same time leads to an increase in job satisfaction.</p> <p><strong>Conclusion.</strong> The obtained results prove that it should be standard practice to offer specialist help after potentially traumatic events in the workplace not only in the form of emotional and/or instrumental support but also in the form of spiritual help.</p>
Trusting Information Systems in Everyday Work Events – Effects on Cognitive Resources, Performance, and Well-being
<p>This dataset contains raw data collected in an online study at the University of Muenster, Germany. The study is part of a larger research project and examined trust in information systems' associations with users' cognitive resources, performance, and well-being within everyday working events, making use of the event reconstruction method (Grube et al., 2008). It further investigated the moderating influence of contextual conditions of the usage event (i.e., users' accountability and workplace distractions), as well as user-related factors. Data collection was divided into two studies: a pre-study in which user-related factors (disposition to trust technology, technology competence, need for cognition, conscientiousness, need forcontrol) were collected; and a main study within which subjects were asked to put themselves back into their last information system usage event using the event reconstruction method and to indicate their trust in the system, assumed outcomes, as well as perceptions of accountability and workplace distractions.</p>
Trust-Building Mechanisms into Design Science Research Practices: An Examination of Contextual Facets and Perceived Utility
<p>This dataset provides the results and the instruments used for carrying out the research for Trust-Building Mechanisms into Design Science Research Practices: An Examination of Contextual Facets and Perceived Utility</p>
Patient-Provider Trust Among Individuals With End-Stage Kidney Disease
ClinicalTrials.gov study NCT00075036. IPD Sharing: Not stated. Countries: 1. Publications: 3.
TRUST-ACE - Anticancer-treatment Cardiotoxicity Identification by Echocardiography
ClinicalTrials.gov study NCT06310330. IPD Sharing: NO. Countries: 1. Publications: 1.
Mentalizing and Epistemic Trust in Patients With Anxiety and Depression.
ClinicalTrials.gov study NCT06833567. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Dog Presence and Oxytocin on Trust Towards Therapists
ClinicalTrials.gov study NCT06248710. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Feasibility Evaluation of an Artificial Pancreas With Glucose Prediction Trust Index
ClinicalTrials.gov study NCT03092310. IPD Sharing: NO. Countries: 1. Publications: 1.
Bayraktutan Dunhill Medical Trust EPC Study
ClinicalTrials.gov study NCT02980354. IPD Sharing: YES. Countries: 1. Publications: 4.
Clinical Cohort Study - TRUST
ClinicalTrials.gov study NCT05521451. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Building on Trust: Navigating Preventive Lung, Breast, and Prostate Cancer Screenings at Community Resource Spots
ClinicalTrials.gov study NCT07231159. IPD Sharing: NO. Countries: 1. Publications: 6.
Teleconsultation Approach to CTD-ILD Care Delivery in Rural UnderServed CommuniTies (TRUST Initiative)
ClinicalTrials.gov study NCT07217093. IPD Sharing: NO. Countries: 1. Publications: 2.
The TRUST Trial - CardioVascular Imaging ECHO
ClinicalTrials.gov study NCT02832960. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Novelty, Conformity and Trust in COVID-19 Vaccines
ClinicalTrials.gov study NCT04693689. IPD Sharing: YES. Countries: 1. Publications: 6.
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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.