Impact of station number and duration time per station on the reliability of Objective Structured Clinical Examination (OSCE) scores: a systematic review and meta-analysis by Qiyun Peng, Jiani Luo, Chunyan Wang, Lei Chen, Shenglan Tan

“…Abstract Background The Objective Structured Clinical Examination (OSCE) is a systematic and structured assessment tool that evaluates candidates’ professional medical skills in a simulated environment through a series of time-limited stations. …”
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Data on behavioural intention to use AI copilot through TAM and AI ecological education policy lensMendeley Data by Emelie C. Villaceran, Celbert M. Himang

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Design and Numerical Simulation of an Air Handling Unit Heat Exchanger for Data Center Cooling by Liu Bing, Geng Shijiang, Wang Zixing, Tao Wenquan

Subjects: “…data center…”
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Exploration of 3D Coal Seam Geological Modeling Visualization and Gas Content Prediction Technology Based on Borehole Data by Xiangfeng Zhao, Tianxuan Hao, Huiyan Feng, Fan Li, Xu Li

“…ABSTRACT The geological structure of coal mines and the precise prediction of coal seam gas content are key factors in creating the transparent working face, and they also represent an important aspect of intelligent coal mining. …”
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Custom WordPress Plugin for Native-Like Digital Health Literacy Questionnaires: Supporting the ALSATION Study by Ștefan SECRIERU

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Impact of 3D Digitising Technologies and Their Implementation by Paula Triviño-Tarradas, Diego Francisco García-Molina, José Ignacio Rojas-Sola

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Evaluation of Pavement Structural Number and Resilient Modulus in a Schistose Quartzite/Quartzite Environment using Dynamic Cone Penetration Test Data: Consequence for flexible pavement construction by Olumuyiwa Falowo, A.S. Daramola, W.K. Olabisi

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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crystals by Ilona A. Isupova, Denis A. Rychkov

“…<i>CrystalShift</i> is an open-source computational tool tailored for the analysis, transformation, and conversion of crystallographic data, with a particular emphasis on organic crystal structures. …”
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Problem Situations in Management by S. G. Zbrishchak

“…Rittel &amp; M.M. Webber, well-structured and ill-structured problems of H. Simon, and other researchers. …”
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Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation by Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed, Alzheimer’s Disease Neuroimaging Initiative

“…To better understand the landscape, we surveyed the major preprocessing, data management, traditional machine-learning (ML), and deep learning (DL) techniques used for diagnosing AD using neuroimaging data such as structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), and positron emission tomography (PET). …”
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LSAP: A Learned Structure-Aware Pruning Point Cloud Classification Approach for Cyber Physical Social Intelligence by Xinhong Liu, Yangfan Li, Fengxiao Tang, Ming Zhao

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Experimental and Computational Insights into the Structural Dynamics of the Fc Fragment of IgG1 Subtype from Biosimilar VEGF‐Trap by Ebru Destan, Engin Turkut, Alper Aldeniz, Jungmin Kang, Takehiko Tosha, Makina Yabashi, Baris Yilmaz, Ahmet Can Timucin, Hiroaki Matsuura, Yoshiaki Kawano, Irfan Cinkaya, Hasan DeMirci

“…Comparative analysis with cryogenic structures, including existing data, reveals alternate conformations within the glycan‐binding pocket. …”
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Faktor-Faktor Yang Mempengaruhi Struktur Modal Pada Perusahaan Pertambangan Yang Terdaftar Di Bursa Efek Indonesia Periode 2013-2017 by Zul Hendri, Deni Agusrianti

“…The tool for analyzing research data is using SMART PLS. The results of the study stated that company size (X1) had no effect on capital structure (Y), profitability (X2) had no effect on capital structure (Y), company growth (X3) had no effect on capital structure (Y), and asset structure (X4 ) affect the capital structure (Y).…”
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Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies by Ali Mardanshahi, Abhilash Sreekumar, Xin Yang, Swarup Kumar Barman, Dimitrios Chronopoulos

“…Recognizing these challenges, we explore next-generation advancements such as self-sensing structures, unmanned aerial vehicle deployment, IoT-enabled data fusion, and enhanced Digital Twin simulations. …”
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Integrating AlphaFold pLDDT Scores into CABS-flex for enhanced protein flexibility simulations by Karol Wróblewski, Sebastian Kmiecik

“…The results showed improved alignment of flexibility predictions with the MD data compared to previous restraint schemes. The integration of pLDDT scores also offers a new perspective on protein flexibility by incorporating structural confidence into the analysis. …”
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Structural and Rural Transformations and Poverty Reduction in Developing Asian Economies: An International Comparison Among China, the Philippines, and Vietnam by Qiu Chen, Jikun Huang, Mercedita A. Sombilla, Trang Truong

“…Based on a comparison with the provincial data from those three countries, both the graphic and regression analysis suggest that structural and rural transformations matter in rural poverty reduction in these three countries. …”
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The Discovery of Buried Archaeological Structures at Saepinum and the Villa of Neratii (Valley of Tammaro River, Italy) Through Data-Adaptive Probability-Based Electrical Resistivity Tomography Using the Tensorial Acquisition Mode by Andrea Capozzi, Marilena Cozzolino, Federica Fasano, Vincenzo Gentile, Paolo Mauriello

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Integration of airborne gamma-ray spectrometry and remote sensing data for mapping of gold-bearing structures in the Doropo region, Northeastern Côte d’Ivoire (Southern part of West African Craton) by Ziandjêdé Hervé Siagné, Alain Nicaise Kouamelan, Wilfried Digbeu, Tahar Aïfa, N’Guessan Nestor Houssou, Koffi Alexis N’dri, Ouattara Gbele

“…Furthermore, the Landsat 8 OLI data processing highlighted mainly structural trends oriented NW-SE, NE-SW and E-W, which were recognised in the field as fractures, shear zones and faults. …”
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Relações empíricas entre a estrutura da vegetação e dados do sensor TM/LANDSAT Empirical relationship between vegetation structure and TM/LANDSAT data by Luciano J. de O. Accioly, Admilson Pachêco, Thomaz C. e C. da Costa, Osvaldo F. Lopes, Maria A. J. de Oliveira

“…<br>The use of spectral data to estimate the structural parameters of vegetation has been considered as one of the most important applications of the remote sensing of ecosystems. …”
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LOW AND MEAN RADIATION DOSES IMPACT ON THE CEREBRAL TRACTS STRUCTURE OF THE CHERNOBYL ACCIDENT LIQUIDATORS IN THE REMOTE PERIOD (BASED ON ROUTINE AND DIFFUSION-TENSOR MAGNETIC RESONANCE IMAGING DATA) by I. M. Levashkina, S. S. Aleksanin, S. V. Serebryakova, T. G. Gribanova

“…To evaluate correlation between brain structural damages and radiation exposure level for the Chernobyl nuclear power plant accident liquidators, routine and diffusion tensor magnetic resonance imaging methods are efficient to visualize and evaluate those damages; it is also important to compare magnetic resonance imaging data of liquidators with results, received for people of the same age and the same stage of cerebral vascular disease (the discirculatory encephalopathy of I and II stage), but who did not participate in the Chernobyl accident liquidation and did not suffer from other liquidation factors and radiation catastrophe aftermaths. …”
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