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Dataset results
208 results for “research and development”
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.
A Research Study to Evaluate the Safety of R306465, a Drug in Development for Cancer and to Study the Absorption, Break Down and Elimination in Patients With Advanced Solid Malignancies.
ClinicalTrials.gov study NCT00677001. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Development of a Multidisciplinary Network for Clinical and Laboratory Research for SMA
ClinicalTrials.gov study NCT05866939. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Center Independent Research & Development Program
Center Independent Research & Development Program
Data and Script for: Olive Trees Health and Yield Prediction through EO data and Machine Learning (OLEA-PRED) / EO AFRICA – Research and Development Facility
<p>This database was collected under the "Olive Trees Health and Yield Prediction through EO data and Machine Learning" project, funded by the European Space Agency in the framework of the "EO AFRICA R&D Facility".</p> <p>- Shapefiles.rar contains shp files for Orchads boundaries and tree locations.</p> <p>- Field_data contains data collected in the field (Chllorophyl, Yield and Soil ).</p> <p>- SCRIPTS.rar contains all scripts and extracted data used for prediction for Settat orchad.</p> <p>- FBS images.rar contains UAV and M6 images for Fkih Ben Saleh orchad.</p>
Electrosfi User Experience and User interface Analysis Through the Nielsen Heuristics with Researchers and Developers
<p>A complexidade e a demanda computacional pela modelagem dos parâmetros requeridos em novos projetos de dispositivos fotônicos têm aumentado significativamente nos últimos anos. Isso tem requerido que as organizações que atuam no segmento de telecomunicações tenham à disposição especialistas em modelagem por simuladores numéricos e em infraestrutura computacional para o mantimento do parque necessário para atender essas demandas. Além disso, o custo financeiro necessário para a aquisição e mantimento dos recursos computacionais, muitas vezes de alto desempenho para o processamento quanto armazenamento dos dados. Isso pode inviabilizar que startups e/ou empresas de pequeno porte possam desenvolvê-los. Nesse cenário esse projeto intenta pelo desenvolvimento de um ambiente Web voltado à modelagem de dispositivos fotônicos 2D seguindo conceitos de computação em nuvem para o oferecimento de um serviço de software (Software as a Service - SaaS). Esse projeto se justifica quanto ao desenvolvimento de uma interface prática e simples para a modelagem desses dispositivos e simulações com bibliotecas numéricas disponíveis na Internet como a Meep baseada no método das Diferenças no Domínio do Tempo (FDTD) e outras bibliotecas baseadas em Elementos Finitos desenvolvidas por colaboradoras.</p>
Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835.
<p>Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835.</p> <p> </p> <p>This is the abstract:</p> <p><strong>Purpose: </strong>The purpose of this study was to develop the modified research utilization questionnaire (M-RUQ) and to establish its content and face validity, construct validity, and reliability.</p> <p><strong>Methods: </strong>This study has a multiphase (three phases), methodological, and cross-sectional design. First, research utilization questionnaire (RUQ) was translated into Italian, which is the target language to develop the M-RUQ. Second, the RUQ psychometric proprieties were assessed using exploratory factorial analysis to identify ambiguous or problematic items (e.g., cross-loadings) (cross-sectional sampling A). The RUQ modification (i.e., item deleting, wording modification, and scoring procedure) represented the development of the M-RUQ among Italian nurses. The third phase was aimed to confirm the construct validity of the M-RUQ and to test its stability and internal consistency (cross-sectional sampling B).</p> <p><strong>Results: </strong>This study's findings show that M-RUQ has a three-dimensional structure and a total of 22 items. The M-RUQ shows evidence of validity and reliability. Precisely, the factorial structure coming from an exploratory factorial analysis on the first sample (n = 504) was confirmed by a final model of confirmatory factorial analysis (CFA) on a second sample (n = 362). The final CFA model showed adequate goodness of fit, where all the factor loadings showed values higher than .40. Cronbach's α was satisfactory for each domain and for the overall scale. Furthermore, the M-RUQ showed good stability described by the test-retest.</p> <p><strong>Conclusion: </strong>The M-RUQ should be used to assess research utilization among nurses for educational or research purposes to address the practice. Further research about its validity and reliability is suggested.</p> <p> </p>
Replication Package for the Paper:Empirical Research on Secure Development in Agile Methods: A Systematic Literature Review
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.