Showing 721 - 740 results of 53,535 for search '((unstructures OR structured) OR structures) data', query time: 0.40s Refine Results
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    A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

    Published 2025-10-01
    “…The final dataset includes structured metadata such as media elements (images, videos, and URLs), user engagement metrics (likes, retweets, replies), hashtags, language codes, and temporal indicators (hour and weekday of posting). …”
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    Pulsar Scattering as a Probe for Structures in the Interstellar Medium by Qiuyi He, Xun Shi, Guangxing Li

    Published 2025-01-01
    “…However, a connection between large-scale pulsar scattering data and the structure of the Galactic ISM has yet to be established. …”
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    Using Large Language Models for Extracting Structured Information From Scientific Texts by Rettenberger Luca, Münker Marc F., Schutera Mark, Niemeyer Christof M., Rabe Kersten S., Reischl Markus

    Published 2024-12-01
    “…Our open-source method automates extracting information from verbose texts, converting them into structured and easily navigable data. This considerably improves scientific literature research by utilizing the power of LLMs and paves the way for enhanced and faster information extraction from extensive scientific texts.…”
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    Bridging the Post-Excavation Gaps: Structured Guidance and Training for Post-Excavation in Archaeology by May Keith, Taylor James, Aitchison Kenneth

    Published 2025-07-01
    “…This article explores the pressing need for consistent structured guidance and training in post-excavation (PX) skills within the field of archaeology. …”
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    Understanding climate-sensitive tick development and diapause with a structured population model by Kamil Erguler, Anastasios Saratsis, Gerhard Dobler, Lidia Chitimia-Dobler

    Published 2025-04-01
    “…Understanding the environmental factors that sustain tick populations is crucial for enhancing prevention and control measures.MethodsThis study presents a multi-process structured population model that simulates nymph activity, development, and diapause in response to temperature and photoperiod. …”
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    Generative Adversarial Network for Damage Identification in Civil Structures by Zahra Rastin, Gholamreza Ghodrati Amiri, Ehsan Darvishan

    Published 2021-01-01
    “…In recent years, many efforts have been made to develop efficient deep-learning-based structural health monitoring (SHM) methods. Most of the proposed methods employ supervised algorithms that require data from different damaged states of a structure in order to monitor its health conditions. …”
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    Introduction of Objective Structured Viva Examination in Anatomy of First-phase MBBS Students by Bashir Ahmad Shah, Parvez Ahmad Lone, Samia Bashir, S. M. Muhalil

    Published 2024-10-01
    “…Background: The introduction of the objective structured viva examination (OSVE) in anatomy aims to enhance the objectivity, fairness, and efficiency of medical education assessments. …”
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    Traditional Versus Objective Structured Clinical Examination on Pediatric Nursing Students’ Performance by Khadiga M. Said, Safaa F. Draz

    Published 2024-02-01
    “…Four tools were utilized to collect data for the current study. A Structured Questionnaire Sheet, A modified Self-administered Questionnaire, Pediatric Nursing Students' Practice Observational Checklists, and Clinical Scenarios were designed to assess the pediatric nursing student OSCE exam and compare between the traditional method and OSCE method of exams. …”
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    Structured expert judgement approach of the health impact of various chemicals and classes of chemicals. by Deniz Marti, David Hanrahan, Ernesto Sanchez-Triana, Mona Wells, Lilian Corra, Howard Hu, Patrick N Breysse, Amalia Laborde, Jack Caravanos, Roberto Bertollini, Kate Porterfield, Richard Fuller

    Published 2024-01-01
    “…<h4>Structured expert judgment (sej) process</h4>A Structured Expert Judgment (Research Outreach, 2021) process was performed to provide plausible estimates of health impacts for 16 commonly found pollutants: asbestos, arsenic, benzene, chromium, cadmium, dioxins, fluoride, highly hazardous pesticides (HHPs), lead, mercury, polycyclic-aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), Per- and Polyfluorinated Substances (PFAs), phthalates, endocrine disrupting chemicals (EDCs), and brominated flame retardants (BRFs). …”
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