The LIFTMOR-M (Lifting Intervention For Training Muscle and Osteoporosis Rehabilitation for Men) trial: protocol for a semirandomised controlled trial of supervised targeted exerci... by Benjamin K Weeks, Belinda R Beck, Amy T Harding, Steven L Watson

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Contribution of Short-Time Occlusion of the Amblyopic Eye to a Passive Dichoptic Video Treatment for Amblyopia beyond the Critical Period by Lauren Sauvan, Natacha Stolowy, Danièle Denis, Frédéric Matonti, Frédéric Chavane, Robert F. Hess, Alexandre Reynaud

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Transgenerational cues about local mate competition affect offspring sex ratios in the spider mite Tetranychus urticae by Duncan, Alison B., Marinosci, Cassandra, Devaux, Céline, Lefèvre, Sophie, Magalhães, Sara, Griffin, Joanne, Valente, Adeline, Ronce, Ophélie, Olivieri, Isabelle

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A recurrent YOLOv8-based framework for event-based object detection by Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh, Mohammed E. Fouda, Ahmed M. Eltawil

“…The framework was evaluated using two comprehensive event-based datasets Prophesee's Generation 1 (GEN1) and Person Detection for Robotics (PEDRo). …”
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Identification of Potential miRNA-mRNA Regulatory Network Contributing to Parkinson’s Disease by Xi Yin, Miao Wang, Wei Wang, Tong Chen, Ge Song, Yixuan Niu, Ziying Jiang, Zhongbao Gao, Zhenfu Wang

“…The differentially expressed miRNAs (DEmis) and genes (DEGs) between PD patients and healthy donors were screened from the miRNA dataset GSE16658 and mRNA dataset GSE100054 downloaded from the Gene Expression Omnibus (GEO) database. …”
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Determinants of survival of the bovine blastocyst to cryopreservation stress: treatment with colony stimulating factor 2 during the morula-to-blastocyst transition and embryo sex by Froylan Sosa, Jeremy Block, Yao Xiao, Peter J. Hansen

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Comparative Study of Remimazolam and Midazolam During Sedated Upper Gastrointestinal Endoscopy: A Propensity Score Matching Analysis by Ryoji Ichijima, Hisatomo Ikehara, Tomomi Sugita, Daisuke Yamaguchi, Yasuhiko Nagata, Kanako Ogura, Mitsuru Esaki, Yosuke Minoda, Hiroyuki Ono, Yuki Maeda, Shinsuke Kiriyama, Tetsuya Sumiyoshi, Yuichi Kanmura

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Analyse des terres cuites architecturales de l’aqueduc de Nyon/Colonia Iulia Equestris (Suisse) by Benjamin Clément, Christophe Henny, Anne Schmitt

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The Comparison of the Kidney Effects of Dipeptidyl Peptidase 4 Inhibitors and Glucagon-Like Peptide 1 Agonist-Administered Concomitant with Sodium-Glucose Cotransporter 2 Inhibitor... by Kazuo Kobayashi, Masao Toyoda, Nobuo Hatori, Kazuyoshi Sato, Masaaki Miyakawa, Kouichi Tamura, Akira Kanamori

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Identification of EGR1 as a Key Diagnostic Biomarker in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) Through Machine Learning and Immune Analysis by Wu X, Pan T, Fang Z, Hui T, Yu X, Liu C, Guo Z, Liu C

“…Among these, the key gene EGR1 was validated and screened using an external dataset, with an area under the curve (AUC) of 0.882. …”
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Spatially mapping the tumour immune microenvironments of non-small cell lung cancer by Lysanne Desharnais, Mark Sorin, Morteza Rezanejad, Bridget Liu, Elham Karimi, Aline Atallah, Anikka M. Swaby, Miranda W. Yu, Samuel Doré, Saskia Hartner, Benoit Fiset, Yuhong Wei, Baharak Kadang, Roni Rayes, Philippe Joubert, Sophie Camilleri-Broët, Pierre-Olivier Fiset, Daniela F. Quail, Jonathan D. Spicer, Logan A. Walsh

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Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

“…Sebuah matriks risiko dibentuk untuk menghitung nilai risiko privasi aplikasi dan dataset CIC-AndMal2017 digunakan untuk mengevaluasi model ensemble learning dan desain penilaian risiko privasi. …”
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Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy by Yingchun Ren, Xiaoying Shan, Gengchao Ding, Ling Ai, Weiying Zhu, Ying Ding, Fuzhou Yu, Yun Chen, Beijiao Wu

“…We collected clinical data during their pregnancies and selected the top 11 critical risk factors through univariable and lasso regression analysis. The dataset was randomly divided into training and testing cohorts. …”
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Association between Metformin and a Lower Risk of Age-Related Macular Degeneration in Patients with Type 2 Diabetes by Yu-Yen Chen, Ying-Cheng Shen, Yun-Ju Lai, Chun-Yuan Wang, Keng-Hung Lin, Shih-Chao Feng, Chiao-Ying Liang, Li-Chen Wei, Pesus Chou

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Safety and efficacy of total colectomy with D3 lymph node dissection at colorectal cancer, developed at inflammatory bowel diseases (case control study) by P. V. Tsarkov, I. A. Tulina, S. K. Efetov, Yu. E. Kitsenko, D. N. Fedorov

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Sex-specific alterations in creatine metabolism in cellular compartments of peripheral blood leukocytes in type 1 diabetes by Nina Alchujyan, Elena Aghajanova, Nina Movsesyan, Arthur Melkonyan, Artashes Guevorkian, Armen Andreasyan, Margarita Hovhannisyan

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Modeling Burst Error Processes in ITU-T G.hnem-Based PLC Systems: Noisy Indoor Environment Analysis Using a Generative Semi-Hidden Markov Model by Akintunde Oluremi Iyiola, Theo G. Swart, Ayokunle Damilola Familua, Thokozani Shongwe

“…Using this experimental setup, we generated and analyzed a dataset of 200,000 transmitted bits, capturing the characteristics of burst errors under realistic indoor noise conditions. …”
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Biological and psychosocial factors associated with the persistence of pruritus symptoms: protocol for a prospective, exploratory observational study in Germany (individual project... by Sonja Ständer, Stefan W Schneider, Gudrun Schneider, Stefan Kahnert, Manuel Pedro Pereira, Christian Mess, Volker Huck, Konstantin Agelopoulos, Gina Frank

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Micronutrient levels of global tropical reef fish communities differ from fisheries capture by Conor Waldock, Eva Maire, Camille Albouy, Vania Andreoli, Maria Beger, Thomas Claverie, Katie L. Cramer, David A. Feary, Sebastian C. A. Ferse, Andrew Hoey, Nicolas Loiseau, M. Aaron MacNeil, Matthew McLean, Camille Mellin, Simon Ahouansou Montcho, Maria Lourdes Palomares, Santiago de laPuente, Mark Tupper, Shaun Wilson, Laure Velez, Jessica Zamborain‐Mason, Dirk Zeller, David Mouillot, Loïc Pellissier

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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

“…The convolutional neural network (CNN) model, using variants with genome-wide P values less than E-02 (5516 SNPs), demonstrated the best performance with mean squared error (MSE) equals 0.012 (Accuracy = 0.83; Sensitivity = 0.90; Specificity = 0.75) in the validation dataset, 0.081 in an independent test dataset (Acc = 0.61, Sensitivity = 0.81; Specificity = 0.26). …”
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