A study of Filipina migrant workers’ subjective health in Hong Kong and an assessment of eight scoring methods for the 12-Item Short Form Health Survey (SF-12) by Tim F. Liao, Rebecca Yiqing Gan

“…Our empirical study of the survey data provides evidence for the beneficial effects of education, social support, and positive working conditions on migrant domestic workers’ subjective physical health and especially subjective mental health, with these two types of health analyzed jointly on the same measurement scale.ConclusionFor studying non-US populations with the SF-12 version 2 instrument, we recommend using the latent confirmatory factor analysis model that assumes a normal distribution and an identity link function for analyzing the MCS and PCS dimensions simultaneously.…”
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Cross-Receiver Radio Frequency Fingerprint Identification: A Source-Free Adaptation Approach by Jian Yang, Shaoxian Zhu, Zhongyi Wen, Qiang Li

“…We propose a novel approach called contrastive source-free cross-receiver network (CSCNet), which employs contrastive learning to facilitate model adaptation using only unlabeled data from the deployed receiver. By incorporating a three-pronged loss function strategy—minimizing information entropy loss, implementing pseudo-label self-supervised loss, and leveraging contrastive learning loss—CSCNet effectively captures the relationships between signal samples, enhancing recognition accuracy and robustness, thereby directly mitigating the impact of receiver variations and the absence of source data. …”
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Patterns of positive selection in six Mammalian genomes. by Carolin Kosiol, Tomás Vinar, Rute R da Fonseca, Melissa J Hubisz, Carlos D Bustamante, Rasmus Nielsen, Adam Siepel

“…A detailed analysis of Affymetrix exon array data indicated that PSGs are expressed at significantly lower levels, and in a more tissue-specific manner, than non-PSGs. …”
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Promoting the Integration of Public Perspective into Urban Design Decision-Making Based on Crowdsourced Visual Perception Method by Lu HUANG, Takuya (JPN) OKI

“…Thus, understanding and integrating public urban perception not only enhances design responsiveness to user needs but also fosters a harmonious balance of functional efficiency and humanistic care. Crowdsourced visual perception data and analysis methods, with their advantages of efficiency, broad representativeness, and low cost, have become key methodological tools in urban built environment research. …”
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Elements of artificial intelligence in a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction of ischemic or... by O. A. Osipova, A. V. Kontsevaya, V. V. Demko, E. V. Gosteva, A. A. Komisov, А. A. Kuzub, A. V. Serdyukova, A. S. Brizhaneva, R. N. Shepel, O. M. Drapkina

“…The designed NN model is implemented in the Matlab software package for solving machine learning and Data Science problems. The NN model is represented as a connected graph and NN function. …”
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A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancer by Zhixiong Zhang, Jinghua Zhong, Muhammad Sarfaraz Iqbal, Zhiwen Zeng, Xiaolu Duan

“…The model exhibited significant superiority in predicting patient outcomes, effectively distinguishing between high-risk from low-risk individuals. Functional enrichment analysis uncovered their potential involvement in immune-related biological pathways. …”
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Enhancing Financial Literacy: A Progressive Web Application Approach for Malaysian Youth by Jun-Xuan Kok, Sin-Ban Ho, Chuie-Hong Tan

“…For instance, it could introduce a predictive budgeting function that uses historical user spending data to perform predictive analysis.…”
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Complete Chloroplast Genome Sequences of Three <i>Canna</i> Species: Genome Characterization, Comparative Analyses, and Phylogenetic Relationships Within Zingiberales by Linhe Sun, Jixiang Liu, Fangyu Liu, Wei Wang, Yajun Chang, Dongrui Yao

“…Each genome contained 130 genes, including 110 unique genes (78 protein-coding genes, four of unknown function, four rRNAs, and 28 tRNAs), 18 duplicated genes located in the IR regions (six protein-coding genes, two of unknown function, four rRNAs, and eight tRNAs), and two <i>trnM-CAU</i> genes in the LSC region. …”
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Anoikis-Related Long Non-Coding RNA Signatures to Predict Prognosis and Immune Infiltration of Gastric Cancer by Wen-Jun Meng, Jia-Min Guo, Li Huang, Yao-Yu Zhang, Yue-Ting Zhu, Lian-Sha Tang, Jia-Ling Wang, Hong-Shuai Li, Ji-Yan Liu

“…Anoikis is a distinct type of programmed cell death and a unique mechanism for tumor progress. However, its exact function in gastric cancer (GC) remains unknown. This study aims to investigate the function of anoikis-related lncRNA (ar-lncRNA) in the prognosis of GC and its immunological infiltration. …”
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Reduced T and NK Cell Activity in Glioblastoma Patients Correlates with TIM-3 and BAT3 Dysregulation by Farah Ahmady, Peter Curpen, Louis Perriman, Adilson Fonseca Teixeira, Siqi Wu, Hong-Jian Zhu, Arpita Poddar, Aparna Jayachandran, George Kannourakis, Rodney B. Luwor

“…Cell surface TIM-3, but not ENTPD1, was also elevated on activated CD4⁺ and CD8⁺ T cells, as well as on NK cells from glioblastoma patients compared to healthy donor T and NK cells. A subsequent analysis of molecules known to co-ordinate TIM-3 function and regulation was performed, which revealed that BAT3 expression was significantly reduced in CD4⁺ and CD8⁺ T cells, as well as NK cells from glioblastoma patients compared to counterparts from healthy donors. …”
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Effect of 4 weeks vs 8 weeks of acupuncture for knee osteoarthritis in China: protocol for a randomised controlled trial by Cun-Zhi Liu, Jian-Feng Tu, Ying Yu, Bao-Hong Mi, Xue-Zhou Wang, Ya-Wei Xi, Yi-Ming Fu

“…In this trial, we will assess the effect of 4 weeks vs 8 weeks of acupuncture in patients with knee osteoarthritis.Methods and analysis The protocol is a pragmatic, parallel, two-arm randomised controlled trial, with the data analyst and assessor being blinded. 148 eligible patients with knee osteoarthritis will be randomly allocated in a 1:1 ratio to receive 4-week or 8-week acupuncture. …”
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Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters by Madina Suleimenova, Kuat Abzaliyev, Ainur Manapova, Madina Mansurova, Symbat Abzaliyeva, Saule Doskozhayeva, Akbota Bugibayeva, Almagul Kurmanova, Diana Sundetova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…Baseline data include indices of humoral and cellular immunity (CD59, CD16, IL-10, CD14, CD19, CD8, CD4, etc.), cytokines and markers of cardiovascular disease, inflammatory markers (TNF, GM-CSF, CRP), growth and angiogenesis factors (VEGF, PGF), proteins involved in apoptosis and cytotoxicity (perforin, CD95), as well as indices of liver function, kidney function, oxidative stress and heart failure (albumin, cystatin C, N-terminal pro B-type natriuretic peptide (NT-proBNP), superoxide dismutase (SOD), C-reactive protein (CRP), cholinesterase (ChE), cholesterol, and glomerular filtration rate (GFR)). …”
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TreC_Metha: A Digital Application to Enhance Patient Agency, Therapy Compliance and Quality of Life in Metastatic Breast Cancer Patients by Antonella Ferro, Maria Chiara Pavesi, Lucia Pederiva, Claudio Eccher

“…Based on these insights, the platform’s functional and non-functional requirements were defined, leading to the design and implementation of a patient-facing mobile app and a clinical dashboard tailored to mBC-specific needs. …”
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The impact of blood flow restriction training combined with low-load resistance training on the risk of falls in patients with knee osteoarthritis in China: a single-centre, two-ar... by Yuping Zhang, Xiaoting Chen, Qiuxiang Lin, DeBiao Yu, Tianxiang Lu, Jiawei Qin, Fuchun Wu

“…Intention-to-treat principles will be applied in data analysis.Ethics and dissemination This study has been approved by the Ethics Review Committee of the First Hospital of Quanzhou Affiliated Fujian Medical University (2024-K161). …”
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SUV39H1-dependent methyl-degron is a critical regulator of skeletal homeostasis by Qian Li, Hongguang An, Rushui Bai, Qiannan Sun, Ruili Yang, Tianyi Xin, Zimeng Zhuang, Yuntao Lu, Yunyi Tang, Gengyao Chen, Weifang Zhang, Yu Zhang, Bing Han

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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

“…This article presents a reproducible machine learning methodology for the early prediction of Alzheimer’s disease (AD) using clinical and behavioural data. A comparative analysis of multiple classification algorithms was conducted, with the Gradient Boosting classifier yielding the best performance (accuracy: 93.9 %, F1-score: 91.8 %). …”
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Causal Role of Immune Cells in Chronic Obstructive Pulmonary Disease: A Two-Sample Mendelian Randomization Study by Xinru Xiao, Ziqi Ding, Yujia Shi, Qian Zhang

“…To validate the consistency of our findings, we utilized MR analysis results of lung function data to assess directional concordance. …”
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The Algorithm to Automatically Extract Body Sizes and Shapes by Mong Hien Thi Nguyen, Tuong Quan Vo, Mai Huong Bui, Van Anh Pham

“…The methods used in this research include factor analysis, linear regression equation, cluster analysis, and discriminant analysis. …”
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Research investigating patient and carer psychoeducation needs regarding post-stroke cognition: a scoping review by Nele Demeyere, Georgina Hobden, Faye Tabone

“…One reviewer extracted pre-defined study characteristics and findings. These data were verified by a second reviewer. Synthesis involved descriptive statistics and thematic analysis.Results Searches identified 8115 articles, of which 30 were included. …”
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Optimization of Rate of Penetration and Mechanical Specific Energy Using Response Surface Methodology and Multi-Objective Optimization by Diunay Zuliani Mantegazini, Andreas Nascimento, Mauro Hugo Mathias, Oldrich Joel Romero Guzman, Matthias Reich

“…Thus, the goal of this research was to analyze field data from pre-salt layer operations, using a 2D analysis of parameters as a function of depth, response surface methodology (RSM), and multi-objective optimization. …”
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