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Dataset results
506 results for “assessment model”
Dieting, obsessive-compulsive thoughts, and orthorexia nervosa: assessing the mediating role of worries about food through a structural equation model approach
<p><strong>Background: </strong>Orthorexia Nervosa (ON) is a condition characterized by an obsessive focus on healthy eating, inflexible dietary rules, and persistent preoccupations with food. Despite it has been recently the subject of increasingly relevant studies, little is known about the mechanisms that might foster ON symptoms.</p> <p><strong>Objective: </strong>This study used a structural equation modeling approach to test the mediating effect of thoughts, worries, and preoccupations about food on the relationship that eating disorders (EDs) attitudes (e.g., dieting) and obsessive-compulsive thoughts and symptoms have with ON in a large community sample. It was hypothesized that the effect of dieting and obsessive-compulsive thoughts and symptoms on would be partially mediated by the presence of thoughts, worries, and preoccupations about food.</p> <p><strong>Methods: </strong>Data from a cross-sectional sample of 1328 participants (females = 976) recruited from the general population were asked to fill in an online survey comprising the Eating Attitude Test-26 (EAT-26), the Obsessive-compulsive subscale of the Symptom Checklist-90Revised (SCL-90R-OC) and the Orthorexia Scale-15 (ORTO-15).</p> <p><strong>Results: </strong>Structural equation models indicated that both obsessive-compulsive thoughts and symptoms and dieting had a direct effect on and that food preoccupation partially mediated these relationships.</p> <p><strong>Conclusion: </strong>These findings provide novel insight into the nature of ON that could aid its conceptualization and treatment.</p>
Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions
<p>Melanoma is the most severe type of skin cancer due to its ability to cause metastasis. It is more common in black people, often affecting acral regions: palms, soles, and nails. Deep neural networks have shown tremendous potential for improving clinical care and skin cancer diagnosis. Nevertheless, prevailing studies predominantly rely on datasets of white skin tones, neglecting to report diagnostic outcomes for diverse patient skin tones. In this work, we evaluate supervised and self-supervised models in skin lesion images extracted from acral regions commonly observed in black individuals. Also, we carefully curate<strong> a dataset containing skin lesions in acral regions and assess the datasets concerning the Fitzpatrick scale to verify performance on black skin.</strong> Our results expose the poor generalizability of these models, revealing their favorable performance for lesions on white skin. Neglecting to create diverse datasets, which necessitates the development of specialized models, is unacceptable. Deep neural networks have great potential to improve diagnosis, particularly for populations with limited access to dermatology. However, including black skin lesions is necessary to ensure these populations can access the benefits of inclusive technology.</p>
Integrated Assessment Modeling of Korea's 2050 Carbon Neutrality Technology Pathways
Open the record for dataset details and reuse information.
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models
<p>This repository contains prompts generated by CodeIPPrompt, a platform used to assess potential intellectual property infringement risks associated with the output of code language models. The source code of the platform can be found at our GitHub repository: <a href="https://github.com/zh1yu4nyu/CodeIPPrompt">https://github.com/zh1yu4nyu/CodeIPPrompt</a>. Detailed information regarding the datasets, as well as usage instructions, can be found in the README.md file.</p> <p>The paper has been accepted by International Conference on Machine Learning (ICML) 2023. If you find this work helpful, please cite us as follows:</p> <pre><code class="language-markdown">@inproceedings{yu2023codeipprompt, title={CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models}, author={Yu, Zhiyuan and Wu, Yuhao and Zhang, Ning and Wang, Chenguang and Vorobeychik, Yevgeniy and Xiao, Chaowei}, booktitle={International Conference on Machine Learning}, year={2023}, organization={PMLR} }</code></pre>
Development of a Controlled Human Infection Model for Assessment of SARS-CoV-2 Omicron Subvariants
ClinicalTrials.gov study NCT07397455. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Assessment of Vivity With French Clinical Data Related to the Toric Model Study
ClinicalTrials.gov study NCT05416177. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Assessment of the Accuracy of Surgical Guide Designed From Digital Impression, Dental Model Scanning Using CBCT and Desktop Scanner in Computer Guided Implantology:
ClinicalTrials.gov study NCT03730506. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Assessment of AI Prediction Models in Prediction of Acute Kidney Injury in Critical Patients
ClinicalTrials.gov study NCT06857188. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Development of a Novel Graded Prognostic Assessment (BC-LGPA) Model for Breast Cancer Leptomeningeal Metastasis
ClinicalTrials.gov study NCT07386886. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Developing and Assessing a Community Based Model of Antiretroviral Care
ClinicalTrials.gov study NCT02337504. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Research on the Development and Application of a Preoperative Assessment Model for Transcatheter Mitral Valve Edge-to-Edge Repair Based on Visual Foundation Models
ClinicalTrials.gov study NCT07247890. IPD Sharing: NO. Countries: 0. Publications: 0.
An Exploratory Study to Assess the Effects of JNJ-39439335 on the Relief of Pain Using a Thermal-Grill Experimental Model
ClinicalTrials.gov study NCT01006304. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Assessment of the Diagnostic Performance of the Detection System and Establishment of an Intelligent and Rapid Triage Model
ClinicalTrials.gov study NCT06864676. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Multimodal Large Model-Driven Risk and Prognosis Assessment for Brain Metastases in Lung Cancer
ClinicalTrials.gov study NCT07107035. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Assessment of Prevident Sodium Fluoride 1.1% Toothpaste Using an Intra-oral Remineralization-demineralization Model
ClinicalTrials.gov study NCT02708160. IPD Sharing: NO. Countries: 0. Publications: 0.
Safety, Virological and Immunological Assessment of the Controlled Dengue Human Infection Model in Dengue-Immune Participants in Thailand (DHIT-Immune)
ClinicalTrials.gov study NCT06908018. IPD Sharing: NO. Countries: 0. Publications: 0.
A 3D Hydrogel Model to Assess Endothelial Cell-macrophage Interactions in Simulated Microgravity (OR-DRPD-SRI2019)
ClinicalTrials.gov study NCT04028752. IPD Sharing: NO. Countries: 0. Publications: 0.
Transcriptome assembly and microarray construction for Enchytraeus crypticus, a model oligochaete to assess stress response mechanisms derived from soil conditions
GEO Series GSE51838. Enchytraeus crypticus. 8 samples. Type: Expression profiling by array.
Assessment of miRNA expression levels in an HCM mouse model containing mutation in Myh6 gene
GEO Series GSE234775. Mus musculus. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Gene network analysis reveals a role for striatal glutamatergic receptors in dysregulated risk-assessment behavior of autism mouse models
GEO Series GSE138539. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
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.