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2921
Identifying Medication Review Topics to Be Documented in a Structured Form in Electronic Health Record Systems: Delphi Consensus Survey
Published 2025-05-01“…To improve data transfer and interoperability, patient information should be documented in a structured format. …”
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2922
Preclinical Medical Students' Perspectives and Experiences With Structured Web-Based English for Medical Purposes Courses: Cross-Sectional Study
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. …”
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2923
An evaluation of perceptions of MBBS fourth professional year students on objective structured clinical examination (OSCE) in the subject of General Surgery
Published 2024-10-01“…To address the limitations of traditional assessment methods, the Objective Structured Clinical Examination (OSCE) was introduced to reduce the bias. …”
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2924
The evolution of vaccine hesitancy through the COVID-19 pandemic: A semi-structured interview study on booster and bivalent doses
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). …”
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2925
Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network
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. …”
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2926
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2927
Evaluation of the psychometric properties of a Semi- structured Hoarding Rating Scale-Interview (HRS-I) in a Clinical Sample
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. …”
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2928
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2929
Self-Management Dengan Tingkat Stres Pada Mahasiswa Dalam Menghadapi Ujian Objective Structured Clinical Examination (OSCE)
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. …”
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2930
Assessing Communication Skills of Medical Students in Objective Structured Clinical Examinations (OSCE)--A Systematic Review of Rating Scales.
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. …”
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2931
Ground Segmentation for LiDAR Point Clouds in Structured and Unstructured Environments Using a Hybrid Neural–Geometric Approach
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. …”
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2932
Optimizing Automatic Voltage Control Collaborative Responses in Chain-Structured Cascade Hydroelectric Power Plants Using Sensitivity Analysis
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. …”
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2933
Multi-Channel Coupled Variational Bayesian Framework with Structured Sparse Priors for High-Resolution Imaging of Complex Maneuvering Targets
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. …”
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2934
Quality of Family Doctor Contracted Services in Beijing from the Perspective of General Practitioners: A Semi-Structured Interview Study
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. …”
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2935
Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning
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. …”
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2936
Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application
Published 2025-03-01Subjects: Get full text
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2937
Agriculture technology providers' perspectives of data rights and obligations in agriculture reflected by farm data value chain
Published 2025-06-01Subjects: Get full text
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2938
Factors Driving Construction Material Price Volatility in Qatar’s Construction Industry: An Investigation Using Generalized Structured Component Analysis (GSCA)
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. …”
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2939
Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN
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. …”
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2940