Search alternatives:
structured » structure (Expand Search)
structures » structure (Expand Search)
structural » structure (Expand Search)
Showing 2,921 - 2,940 results of 53,088 for search '(structured OR (structures OR structural)) data', query time: 0.47s Refine Results
  1. 2921
  2. 2922

    Preclinical Medical Students' Perspectives and Experiences With Structured Web-Based English for Medical Purposes Courses: Cross-Sectional Study by Radhakrishnan Muthukumar, Isaraporn Thepwongsa, Poompong Sripa, Bangonsri Jindawong, Kamonwan Jenwitheesuk, Surapol Virasiri

    Published 2025-03-01
    “…MethodsStructured web-based EMP courses were developed based on evidence-based guidelines, addressing barriers to web-based learning during development and implementation. …”
    Get full text
    Article
  3. 2923

    An evaluation of perceptions of MBBS fourth professional year students on objective structured clinical examination (OSCE) in the subject of General Surgery by Nishikant N. Gujar, Vishal Jadhav, Jilani S. Awati, Sajid Ahmad Mudhol, Md Azmathulla H, Pradeep Gajakosh, Abu Talha, Tausif Alam

    Published 2024-10-01
    “…To address the limitations of traditional assessment methods, the Objective Structured Clinical Examination (OSCE) was introduced to reduce the bias. …”
    Get full text
    Article
  4. 2924

    The evolution of vaccine hesitancy through the COVID-19 pandemic: A semi-structured interview study on booster and bivalent doses by Jeanna Parsons Leigh, Emily A. FitzGerald, Stephana Julia Moss, Michal S. Cherak, Rebecca Brundin-Mather, Alexandra Dodds, Henry T. Stelfox, Ève Dubé, Kirsten M. Fiest, Donna M. Halperin, Sofia B. Ahmed, Shannon E. MacDonald, Sharon E. Straus, Terra Manca, Josh Ng Kamstra, Andrea Soo, Shelly Longmore, Shelly Kupsch, Bonnie Sept, Scott A. Halperin

    Published 2024-12-01
    “…We sought in-depth understanding on the evolution of factors influencing COVID-19 booster dose and bivalent vaccine hesitancy in a longitudinal semi-structured interview-based qualitative study. Serial interviews were conducted between July 25th and September 1st, 2022 (Phase I: univalent booster dose availability), and between November 21st, 2022 and January 11th, 2023 (Phase II: bivalent vaccine availability). …”
    Get full text
    Article
  5. 2925

    Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network by Huayou Si, Yajie Qi, Meilian Zheng, Yongjian Ren, Lifeng Yu

    Published 2018-10-01
    “…In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. …”
    Get full text
    Article
  6. 2926
  7. 2927

    Evaluation of the psychometric properties of a Semi- structured Hoarding Rating Scale-Interview (HRS-I) in a Clinical Sample by K khorramdel, S Rashid, U Barahmand, A Abolghasemi

    Published 2017-07-01
    “…The purpose of this paper was to assess the psychometric properties of a semi-structured diagnostic interview of HD in a clinical sample. …”
    Get full text
    Article
  8. 2928
  9. 2929

    Self-Management Dengan Tingkat Stres Pada Mahasiswa Dalam Menghadapi Ujian Objective Structured Clinical Examination (OSCE) by Emma Aprilia Hastuti, Efri Widianti, Indah Mentari Siagian, Diah Septriyani

    Published 2024-07-01
    “…Salah satu stresornya adalah ujian Objective Structured Clinical Examination (OSCE). Stres pada mahasiswa keperawatan mengakibatkan dampak yang negatif, maka diperlukan self-management atau pengelolaan diri yang baik. …”
    Get full text
    Article
  10. 2930

    Assessing Communication Skills of Medical Students in Objective Structured Clinical Examinations (OSCE)--A Systematic Review of Rating Scales. by Musa Cömert, Jördis Maria Zill, Eva Christalle, Jörg Dirmaier, Martin Härter, Isabelle Scholl

    Published 2016-01-01
    “…<h4>Background</h4>Teaching and assessment of communication skills have become essential in medical education. The Objective Structured Clinical Examination (OSCE) has been found as an appropriate means to assess communication skills within medical education. …”
    Get full text
    Article
  11. 2931

    Ground Segmentation for LiDAR Point Clouds in Structured and Unstructured Environments Using a Hybrid Neural–Geometric Approach by Antonio Santo, Enrique Heredia, Carlos Viegas, David Valiente, Arturo Gil

    Published 2025-04-01
    “…The method hierarchically partitions point clouds into adaptive sectors, leveraging PCA-derived geometric features and dynamic variance thresholds for robust terrain modeling, while a SCNN resolves ambiguities in data-sparse regions. Evaluated in structured (SemanticKITTI) and unstructured (Rellis-3D) environments, two different versions of the proposed method are studied, including a purely geometric method and a hybrid approach that exploits deep learning techniques. …”
    Get full text
    Article
  12. 2932

    Optimizing Automatic Voltage Control Collaborative Responses in Chain-Structured Cascade Hydroelectric Power Plants Using Sensitivity Analysis by Li Zhang, Jie Yang, Jun Wang, Lening Wang, Haiming Niu, Xiaobing Liu, Simon X. Yang, Kun Yang

    Published 2025-05-01
    “…Southwestern China has abundant hydropower networks, wherein neighboring cascade hydropower stations within the same river basin are typically connected to the power system in a chain-structured configuration. However, when such chain-structured cascade hydroelectric power plants (CC-HPPs) participate in automatic voltage control (AVC), problems such as reactive power interactions among stations and unreasonable voltage gradients frequently arise. …”
    Get full text
    Article
  13. 2933

    Multi-Channel Coupled Variational Bayesian Framework with Structured Sparse Priors for High-Resolution Imaging of Complex Maneuvering Targets by Xin Wang, Jing Yang, Yong Luo

    Published 2025-07-01
    “…The method jointly models temporal correlations and inter-channel structure, introducing a coupled processing strategy to reduce dimensionality and computational complexity. …”
    Get full text
    Article
  14. 2934

    Quality of Family Doctor Contracted Services in Beijing from the Perspective of General Practitioners: A Semi-Structured Interview Study by Cui Yajia, Jin Guanghui

    Published 2024-09-01
    “…Methods: A total of 18 general practitioner GPs from 18 community health service institutions centers in 9 districts of Beijing were selected through purposive sampling from August 2023 to June 2024, and semi-structured interviews were conducted with general practitioner GPs based on the structure process outcome framework interview outline. …”
    Get full text
    Article
  15. 2935

    Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

    Published 2025-12-01
    “…Strengthening of damaged reinforced concrete (RC) structures with ultra high performance concrete (UHPC) can increase their load carrying capacity and durability. …”
    Get full text
    Article
  16. 2936
  17. 2937
  18. 2938

    Factors Driving Construction Material Price Volatility in Qatar’s Construction Industry: An Investigation Using Generalized Structured Component Analysis (GSCA) by Murat Gunduz, Khalid K. Naji, Hadi Al-Marri

    Published 2025-04-01
    “…Second, it examined the influence of these factors and categories on material prices using Generalized Structured Component Analysis (GSCA). Third, it proposed strategies for mitigating price volatility within the Qatari construction sector. …”
    Get full text
    Article
  19. 2939

    Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

    Published 2024-12-01
    “…Different levels of damage states were introduced at the midspans of these models, and Gaussian-based load time histories were applied at mid-span for dynamic time-history analysis to calculate acceleration data. Then, this acceleration time-history series was transformed into grayscale images, serving as inputs for a Convolutional Neural Network developed to detect and classify structural damage states. …”
    Get full text
    Article
  20. 2940