An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study by Yingfeng Ge, Jianan Yin, Caie Chen, Shuo Yang, Yuduan Han, Chonglong Ding, Jiaming Zheng, Yifan Zheng, Jinxin Zhang

“…Spectral, nonlinear, and functional connectivity features were extracted from the EEG data, subjected to feature selection and dimensionality reduction, and then fed into various machine learning classifiers for discrimination. …”
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Immune-related gene risk model establishment and role of key gene FUCA1 in malignant pleural mesothelioma by Lin Shi, Lin Shi, Lin Shi, Lin Shi, Dongqi Yuan, Dongqi Yuan, Dongqi Yuan, Fuyi Zhu, Yuchao He, Yuchao He, Ran Zuo, Ran Zuo, Liwei Chen, Liwei Chen, Yi Luo, Yi Luo, Yu Wang, Yu Wang, Dingzhi Huang, Dingzhi Huang, Peng Chen, Peng Chen, Hua Guo, Hua Guo

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The therapeutic potential of exercise in post-traumatic stress disorder and its underlying mechanisms: A living systematic review of human and non-human studies [version 3; peer re... by David Gilbert, Thomy Tonia, Edoardo G. Ostinelli, Toshi A. Furukawa, Hossein Dehdarirad, Emily Sena, Fiona Ramage, Spyridon Siafis, Virginia Chiocchia, Claire Stansfield, Simonne Wright, Francesca Tinsdeall, Claire Friedrich, James Thomas, Charlotte Austin, Malcolm Macleod, Georgia Salanti, Jaycee Kennett, Soraya Seedat, Olufisayo Elugbadebo, Andrea Cipriani, Ouma Simple, Jennifer Potts

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The therapeutic potential of exercise in post-traumatic stress disorder and its underlying mechanisms: A living systematic review of human and non-human studies [version 4; peer re... by David Gilbert, Thomy Tonia, Edoardo G. Ostinelli, Toshi A. Furukawa, Hossein Dehdarirad, Emily Sena, Fiona Ramage, Spyridon Siafis, Virginia Chiocchia, Claire Stansfield, Simonne Wright, Francesca Tinsdeall, Claire Friedrich, James Thomas, Charlotte Austin, Malcolm Macleod, Georgia Salanti, Jaycee Kennett, Soraya Seedat, Olufisayo Elugbadebo, Andrea Cipriani, Ouma Simple, Jennifer Potts

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Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair‐Stand Test by Giulia Giordano, Luca Mastrantoni, Francesco Landi, The Lookup 8+ Study Group

“…The predictive outputs of these models may serve as surrogate biomarkers of the aging process, capturing functional decline.…”
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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

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Integrative analysis of seed morphology, geographic origin, and genetic structure in Medicago with implications for breeding and conservation by Seunghyun Lim, Sunchung Park, Insuck Baek, Jacob Botkin, Jae Hee Jang, Seok Min Hong, Brian M. Irish, Moon S. Kim, Lyndel W. Meinhardt, Shaun J. Curtin, Ezekiel Ahn

“…This study presents a comprehensive analysis of these factors in a diverse collection of Medicago accessions, leveraging machine learning to illuminate these complex relationships. …”
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Ultrasound Assessment in Polycystic Ovary Syndrome Diagnosis: From Origins to Future Perspectives—A Comprehensive Review by Stefano Di Michele, Anna Maria Fulghesu, Elena Pittui, Martina Cordella, Gilda Sicilia, Giuseppina Mandurino, Maurizio Nicola D’Alterio, Salvatore Giovanni Vitale, Stefano Angioni

“…Studies on diagnostic criteria, imaging modalities, stromal assessment, and machine-learning algorithms were prioritized. Additional references were identified via citation screening. …”
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Exploring the gut microbiota associated with peripheral nerve invasion in colorectal cancer patients and constructing predictive models by Chuanbin Chen, Qingmin Chen, Shenghai Liu, Guoxi Li, Jiawei Zhao, Jingting Huang, Tianyi Ye, Xinting Yang, Zigui Huang, Zhen Wang, Fuhai He, Mingjian Qin, Chenyan Long, Binzhe Tang, Yongqi Huang, Weizhong Tang, Jungang Liu, Xiaoliang Huang

“…Abstract Objective This study aims to explore the differences in composition, abundance, and biological functions of the gut microbiota between colorectal cancer (CRC) patients with peripheral nerve invasion (PNI) and those without peripheral nerve invasion (NPNI). …”
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Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

“…The molecular characteristics of Hub PCD-DEGs, their role in synovial immune inflammation, and their association with the immune microenvironment were investigated through functional enrichment analysis and ssGSEA immune infiltration analysis. …”
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Radiomics features from the peritumoral region can be associated with the epilepsy status of glioblastoma patients by Yeong Chul Yun, Yeong Chul Yun, Yeong Chul Yun, Johann M. E. Jende, Johann M. E. Jende, Katharina Holz, Katharina Holz, Sabine Wolf, Sabine Wolf, Freya Garhöfer, Freya Garhöfer, Anja Hohmann, Philipp Vollmuth, Martin Bendszus, Heinz-Peter Schlemmer, Felix Sahm, Felix Sahm, Sabine Heiland, Wolfgang Wick, Varun Venkataramani, Varun Venkataramani, Felix T. Kurz, Felix T. Kurz, Felix T. Kurz

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MRI-based intra-tumoral ecological diversity features and temporal characteristics for predicting microvascular invasion in hepatocellular carcinoma by Yuli Zeng, Huiqin Wu, Yanqiu Zhu, Chao Li, Dongyang Du, Yang Song, Sulian Su, Jie Qin, Guihua Jiang, Guihua Jiang, Guihua Jiang

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Virtual Reality Applications in Healthcare Rehabilitation Therapy and Medical Training Innovations by Kumar R Senthil, G V Rambabu, K Manasa, R V Kavya, Rashid Syed Zahidur, G B Santhi

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Enhancing deep learning-based landslide detection from open satellite imagery via multisource data fusion of spectral, textural, and topographical features: a case study of old lan... by Zhiyuan Ren, Junwei Ma, Jiayu Liu, Xin Deng, Guangcheng Zhang, Haixiang Guo

“…Deep learning (DL) techniques are now predominant in landslide detection, aiding in risk assessment and disaster management. …”
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Promoting Family Science Conversations in the LaCuKnoS Project by Cory Buxton, Diana Crespo Camacho, Barbara Ettenauer

“…Discourse analysis using the appraisal dimension of systemic functional linguistics highlights the affective components of families evaluating science in their lives, as well as how each model provided unique affordances for different communicative goals. …”
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SSOD-QCTR: Semi-Supervised Query Consistent Transformer for Optical Remote Sensing Image Object Detection by Xinyu Ma, Pengyuan Lv, Xunqiang Gong

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Application of physics-informed neural networks for two-phase flow model with variable diffusion and experimental validation by Daulet Kalesh, Timur Merembayev, Sagyn Omirbekov, Yerlan Amanbek

“…Recent advancements in deep learning have significantly improved solving complex computational physics problems. …”
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Domain‐Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach by Marlene Tahedl, Ulrich Bogdahn, Bernadette Wimmer, Dennis M. Hedderich, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler

“…On the contrary, for general motor function, the unrestricted, whole‐brain MAP yielded higher power. …”
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An Adversarial Attack on ML-Based IoT Malware Detection Using Binary Diversification Techniques by Maina Bernard Mwangi, Shin-Ming Cheng

“…The integration of machine learning (ML) has revolutionized malware detection, enabling accurate identification of subtle distinctions between malware and benignware. …”
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Auto-Probabilistic Mining Method for Siamese Neural Network Training by Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov

“…Metric learning offers an effective solution to this problem. …”
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