Structure-guided deep learning for back acupoint localization via bone-measuring constraints by Yulong Wang, Tian Lan, Wenjian Dou, Zhi Chen, Song Zhang, Gong Chen, Gong Chen

“…The method employs an HRFormer backbone network combined with a Structure-Guided Keypoint Estimation Module (SG-KEM) and a structure-constrained loss function, ensuring anatomically consistent predictions within a standardized spatial coordinate system to improve accuracy across diverse body types. …”
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Development of a social learning theory-based pressure injury training program for nursing assistants in Chinese nursing homes by Yanxia Guo, Yanxia Guo, Shengnan Yang, Plernpit Boonyamalik, Arpaporn Powwattana, Wen Zhu, Lingxia Xu

“…Data analysis included expert’s positive coefficient, expert’s authority coefficient (Cr), expert’s coordination coefficient (Kendall’s W), and coefficient of variation (CV) were used to reflect reliability and consensus.ResultsConsensus was reached on 79 key indicators for the training program, which included 4 first-level indicators (training objectives, content, methods, and evaluation), 13 second-level indicators, and 62 third-level indicators. …”
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Consolidation and Heavy Metal Adsorption-Desorption Characteristics of Soils with Different Clay Contents by WU Ya-jun, YUE Hao-fan, ZANG Xue-ke, ZHANG Xu-dong, ZHANG Chang-song, WU Jin-hong

“…In doing so, the single-factor influencing pattern of clay content can be obtained. [Methods] Based on the principle that soil particles of different sizes had different settling speeds in solution, soil samples with clay contents of 20%, 30%, 40%, and 50% were prepared via sedimentation method. …”
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Bulk System Reliability Assessment Incorporating Nodal Correlations in Supply–Demand Variabilities and Uncertainties Created with Net-Zero Emission Targets by Deeksha Sharma, Rajesh Karki

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Space alternating variational estimation based sparse Bayesian learning for complex‐value sparse signal recovery using adaptive Laplace priors by Zonglong Bai, Liming Shi, Jinwei Sun, Mads Græsbøll Christensen

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INTEGRATION OF SVM AND SMOTE-NC FOR CLASSIFICATION OF HEART FAILURE PATIENTS by Dina Tri Utari

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Exploring implementation of interventions to facilitate integration in fragmented healthcare systems by Cassandra Bragdon, Rachel Siden, Marcy Winget, Sonia Rose Harris, Rebecca Carey, Justin Ko, Alpa Vyas, Cati Brown‐Johnson

“…Methods We conducted qualitative semi‐structured interviews via Zoom with faculty and community physicians. …”
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Micrometric and Nanometric Characterization of Rock Aggregates Using AIMS, AFM, and SEM to Further Discussions on Geotechnical Roughness Classification Systems by Haline Dugolin Ceccato, Augusto Gonçalves Nobre, Andréa Valli Nummer, Rinaldo José Barbosa Pinheiro, Ricardo Barreto da Silva, Josué Neroti Rigue

“…Data obtained from AFM and SEM demonstrated greater sensitivity, revealing features not identified by AIMS, especially in fine-grained materials like the SUL rock. Therefore, integrating micro- and nanoscale analyses is proposed as a complementary approach to overcome the limitations of conventional methods.…”
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Regional Variation in Pregnancy Outcomes amongst Women in Inflammatory Bowel Disease: A Population-Based Cohort Study by Parul Tandon, Christina Diong, Rachel Y. Chong, Geoffrey C. Nguyen

“…Geographical variation in preterm delivery, infants SGA, and Cesarean delivery was assessed using age-adjusted odds ratios (aOR) with 95% confidence intervals (CI) comparing women with and without IBD, stratified by Ontario’s 14 health-service regions, known as Local Health Integration Networks (LHINs). …”
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Statistical Structural Damage Detection of Functionally Graded Euler–Bernoulli Beams Based on Element Modal Strain Energy Sensitivity by Delei Yang, Chunyan Kang, Sihan Cheng, Zhongming Hu, Adesola Ademiloye

“…This evaluation is based on integrating the sensitivity of modal strain energy for each element with the perturbation method. …”
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Climate change and suicide epidemiology: a systematic review and meta-analysis of gender variations in global suicide rates by Dan-Dan Chen, Jin-Heng Tu, Ke-Nan Ling, Xiao-Hong Jin, Hai-Yan Huang

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Exploration of the health needs of patients with poorly controlled type 2 diabetes using a user-centred co-production approach in the area of mHealth: an exploratory sequential mix... by Li Cheng, Qinqin Xie, Xiling Hu, Yarui Wang, Junsheng Peng

“…With the principles of co-production, this study aims to address this research gap by exploring the health needs of Chinese patients with poorly controlled T2DM.Methods and analysis This study uses a three-phase, exploratory sequential mixed-method design. …”
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Bearing Fault Diagnosis under Transient Conditions: Using Variational Mode Decomposition and the Symmetrized Dot Pattern-Based Convolutional Neural Network Model by Jide Jia, Jianmin Mei, Chuang Sun, Fengjuan Yang

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Pedestrian dynamics modeling and social force analysis based on object detection by Fangyan Yang, Rong Liu, Daoyu Zhu

“…Despite its widespread utility, pedestrian-oriented object detection faces significant challenges, including dynamic crowd behaviors, occlusions, multi-scale variability, and complex urban environments, which hinder the accuracy and robustness of existing models.MethodsTo address these challenges, we propose a novel framework that integrates the Information-Geometric Variational Inference Framework (IGVIF) with the Adaptive Exploration-Exploitation Trade-off Strategy (AEETS), specifically tailored for pedestrian dynamics. …”
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Automated Parkinson’s Disease Diagnosis Using Decomposition Techniques and Deep Learning for Accurate Gait Analysis by S. Jeba Priya, C. Anand Deva Durai, M. S. P. Subathra, S. Thomas George, Andrew Jeyabose

“…The successful application of these methods highlights the importance of advanced signal processing techniques in improving the detection and management of neurological disorders.…”
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VMGP: A unified variational auto-encoder based multi-task model for multi-phenotype, multi-environment, and cross-population genomic selection in plants by Xiangyu Zhao, Fuzhen Sun, Jinlong Li, Dongfeng Zhang, Qiusi Zhang, Zhongqiang Liu, Changwei Tan, Hongxiang Ma, Kaiyi Wang

“…To surmount this challenge, we introduce a unified Variational auto-encoder based Multi-task Genomic Prediction model (VMGP) that integrates self-supervised genomic compression and reconstruction with multiple prediction tasks. …”
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Application of perforated PEEK framework for improving strength of a bases of removable complete denture for maxilla by Kamalutdin Akhmedov, Dmitry Arutyunov, Mikhail Lomakin, Svetlana Bochkareva, Iliya Panov, Sergey Panin, Magomet Mustafaev, Sofiat Mustafaeva

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A synthetic data-driven machine learning approach for athlete performance attenuation prediction by Mauricio C. Cordeiro, Ciaran O. Cathain, Ciaran O. Cathain, Lorcan Daly, Lorcan Daly, David T. Kelly, David T. Kelly, Thiago B. Rodrigues

“…This study extends previous research by evaluating Tabular Variational Autoencoders (TVAE) for generating synthetic data to predict performance attenuation in Gaelic football athletes.MethodsThis study assesses synthetic data quality through a comprehensive evaluation framework combining column shape similarity metrics and Hellinger distance analysis, quantifying distributional fidelity across individual variables. …”
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Soft X-ray tomography reveals variations in B. subtilis biofilm structure upon tasA deletion by Anthoula Chatzimpinou, Anne Diehl, A. Tobias Harhoff, Kristina Driller, Bieke Vanslembrouck, Jian-Hua Chen, Kristaps Kairišs, Valentina Loconte, Mark A. Le Gros, Carolyn Larabell, Kürşad Turgay, Hartmut Oschkinat, Venera Weinhardt

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Color Variation in 3D-Printed Orthodontic Aligners as a Compliance Indicator: A Prospective Pilot Study by Francesca Cremonini, Giuseppe Chiusolo, Filippo Pepe, Luca Lombardo

“…This study investigated the potential of colorimetric analysis as a method to assess compliance with NOXI 3D-printed night-time aligners. …”
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