Meta-analysis on the chronic effects of exercise on depression in older adults by Melanie Mack, Claudia Voelcker-Rehage, Pinelopi S. Stavrinou, Iuliia Pavlova, Yaël Netz, Burcu Kömürcü Akik, Antonia Kaltsatou, Sandra Haider, Christoforos D. Giannaki, Arzu Erden, Andreea Badache, Michel Audiffren

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Ear reconstruction after traumatic injuries Reconstruções auriculares após lesões traumáticas by José Carlos da Silva, Waldivino Guimarães Filho, Bruno Granieri de Oliveira Araújo

“…Patient satisfaction with respect to esthetic and functional aspects was recorded during postoperative visits. …”
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Relación entre dimensiones de autoeficacia y metas académicas en estudiantes universitarios con movilidad reducida (Relationship between dimensions of self-efficacy and academic go... by Raquel Suria Martínez

“…These results reveal how important it is to deepen students' self-efficacy in order to enhance motivational learning goals among students with functional diversity. …”
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Peak analysis of cell-free RNA finds recurrently protected narrow regions with clinical potential by Pengfei Bao, Taiwei Wang, Xiaofan Liu, Shaozhen Xing, Hanjin Ruan, Hongli Ma, Yuhuan Tao, Qing Zhan, Efres Belmonte-Reche, Lizheng Qin, Zhengxue Han, Minghui Mao, Mengtao Li, Zhi John Lu

“…Results We present cfPeak, a novel method combining statistics and machine learning models to detect the fragmented cfRNA signals effectively. …”
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Time-Lapse Super-Resolution Imaging and Optical Manipulation of Growth Cones in Elongating Axons and Migrating Neurons by Masato Sawada, Chikako Nakajima, Erika Umeda, Yuma Takagi, Norihiko Nakashima, Nynke Vepřek, Florian Küllmer, Veselin Nasufović, Hans-Dieter Arndt, Dirk Trauner, Michihiro Igarashi, Kazunobu Sawamoto

“…Furthermore, machine learning–based methods enabled us to automatically segment growth cone morphology from elongating axons and the leading process. …”
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An Affordable AI-Driven and 3D-Printed Personalized Myoelectric Prosthesis: Design, Development, and Assessment by Enzo Romero, Jose G. Garcia, Magno Parra, Sebastian Caballa, Alejandro M. Saldarriaga, Edson F. Luque, Dante J. Rodriguez, Victoria E. Abarca, Dante A. Elias

“…Conventional myoelectric prostheses, while offering functional restoration, have limited adaptability and high cost. …”
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Early-life nutritional supplementation protects against home environmental risks in Ghanaian children's social-emotional development by Lindsey C. Partington, Lindsey C. Partington, Haiying Yuan, Haiying Yuan, Maku E. Demuyakor, Seth Adu-Afarwuah, Amanda E. Guyer, Amanda E. Guyer, Kathryn G. Dewey, Sika M. Kumordzie, Brietta M. Oaks, Charles D. Arnold, Elizabeth L. Prado, Paul D. Hastings, Paul D. Hastings, Paul D. Hastings

“…IntroductionThis study examines how an early-life small-quantity lipid-based nutrient supplement (LNS) interacts with the home environment to influence Ghanaian children's social-emotional functioning at preschool age.MethodIn a randomized controlled trial, 1,320 Ghanaian women received either daily LNS, multiple micronutrients (MMN) or iron and folic acid (IFA) during pregnancy through 6 months postpartum. …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…Next, an innovative classification system was implemented, classifying 10,905 compounds into a 3-tier hierarchy across 141 classes, based on functional group weighting. Then, data augmentation was performed within each category using simplified molecular input line entry system (SMILES) enumeration combined with structural similarity expansion. …”
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High performance older adults in a population-based sample with low education: Pietà study by Karoline Carvalho Carmona, Elisa de Paula França Resende, Henrique Cerqueira Guimarães, Thais Helena Machado, Viviane Amaral-Carvalho, Etelvina Lucas dos Santos, Maira Tonidandel Barbosa, Paulo Caramelli

“…Background Healthy brain aging can be defined as aging without neurological or psychiatric disorders, sustaining functional independence. In addition to the absence of disease and preserved functionality, there are individuals who stand out for their superior performance to that considered normal for their age in cognitive tests. …”
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Using individualised bowel care plans to improve clinical outcomes in specialist intellectual disability mental health units in England and Wales: quality improvement project by Alexandra Gabrielsson, Richard Laugharne, Jon Painter, Harriet Slater, Catherine Bright, Andrew Dossett, Romanie Dekker, Alex Bordessa-Kelly, Kloe Edwards, Jarod Newbury, Salman Azfar, Paul Bassett, Samuel Tromans, Indermeet Sawhney, Phil Elliot, Mahesh Odiyoor, Kiran Purandare, Rohit Shankar

“…Baseline, 3- and 6-monthly Health of the Nation Scales – Learning Disability (HoNOS-LD) were completed after the intervention. …”
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Relieving acute pain (RAP) study: a proof-of-concept protocol for a randomised, double-blind, placebo-controlled trial by Thomas Scalea, Luana Colloca, Se Eun Lee, Meghan Nichole Luhowy, Nathaniel Haycock, Chika Okusogu, Soojin Yim, Nandini Raghuraman, Robert Goodfellow, Robert Scott Murray, Patricia Casper, Myounghee Lee, Yvette Fouche, Sarah Murthi

“…Primary and secondary outcomes include feasibility and acceptability of the study. Pain intensity, functional pain, emotional distress, rates of rescue therapy requests and patient-initiated medication denials will be collected.Ethics and dissemination All activities associated with this protocol are conducted in full compliance with the Institutional Review Board policies and federal regulations. …”
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Paddy soil fertility shifts microbial metabolic quotient by regulating the selective enrichment of specific bacterial groups by Yali Kong, Jie Wang, Chunquan Zhu, Wenhao Tian, Lianfeng Zhu, Xiaochuang Cao, Yupei Chen, Xiaoxia Liu, Haimin Kong, Yijun Yu, Gengmiao Zhang, Junhua Zhang

“…The heterogeneous distribution of specific microbial taxa with diverse physiological traits, caused by changes of soil fertility level, controls community-level functions. However, how specific microbial taxa mediate community-level carbon (C) metabolic efficiency across various fertility conditions in paddy soils is limited. …”
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Non-feature-specific elevated responses and feature-specific backward replay in human brain induced by visual sequence exposure by Tao He, Xizi Gong, Qian Wang, Xinyi Zhu, Yunzhe Liu, Fang Fang

“…Together, these findings demonstrate that visual sequence exposure induces twofold brain plasticity that may simultaneously serve for different functional purposes. The non-feature-specific elevated responses may facilitate general processing of upcoming stimuli, whereas the feature-specific backward replay may underpin passive learning of visual sequences.…”
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Novel cuproptosis metabolism-related molecular clusters and diagnostic signature for Alzheimer’s disease by Fang Jia, Wanhong Han, Shuangqi Gao, Jianwei Huang, Wujie Zhao, Zhenwei Lu, Wenpeng Zhao, Zhangyu Li, Zhanxiang Wang, Ying Guo

“…The GSEA, PPI network, GO, KEGG, and correlation analysis were conducted to explore the biological functions of DECRGs. Molecular clusters were performed using unsupervised cluster analysis. …”
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Construction of mitochondrial signature (MS) for the prognosis of ovarian cancer by Miao Ao, You Wu, Kunyu Wang, Haixia Luo, Wei Mao, Anqi Zhao, Xiaomeng Su, Yan Song, Bin Li

“…After univariate Cox analysis, prognostic genes were carried out for modeling mitochondria signature (MS) based on 101 combinations of 10 machine learning algorithms. Functional enrichment analysis was performed on this prognostic gene set. …”
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Smartwatch ECG and artificial intelligence in detecting acute coronary syndrome compared to traditional 12-lead ECG by Jina Choi, Joonghee Kim, Carmen Spaccarotella, Giovanni Esposito, Il-Young Oh, Youngjin Cho, Ciro Indolfi

“…Meanwhile, smartwatches offering ECG functionality have become widespread. This study evaluates the feasibility of an image-based ECG analysis artificial intelligence (AI) system with smartwatch-based multichannel, asynchronous ECG for diagnosing ACS. …”
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Integration of single-cell RNA and bulk RNA sequencing revealed malignant ductal cell heterogeneity and prognosis signatures in pancreatic cancer by Haiyang Du, Haiyang Du, Gao Si, Jiqing Si, Xuejie Song, Xuejie Song, Fuchun Si, Fuchun Si

“…Non-negative matrix factorization (NMF) identified stage-associated gene modules, which were integrated with TCGA bulk-RNA data and machine-learning feature selection to pinpoint candidate prognostic genes. …”
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Gut microbiota alterations are linked to COVID-19 severity in North African and European populations by Marius Bredon, Pierre Hausfater, Loubna Khalki, Youssef Tijani, Amine Cheikh, Loic Brot, Laura Creusot, Nathalie Rolhion, Francois Trottein, Gérard Lambeau, Sophie Georgin-Lavialle, Alexandre Bleibtreu, Jean-Luc Baudel, Antoine Lefèvre, Patrick Emond, Florence Tubach, Noémie Simon-Tillaux, Tabassome Simon, Guy Gorochov, Younes Zaid, Harry Sokol

“…Machine learning models accurately predicted disease severity based on gut microbial profiles in the Moroccan cohort, though not in the French cohort. …”
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A case-control study of reaction time deficits in a 3D virtual reality in patients with Post-COVID syndrome by Moritz Güttes, Marianna Lucio, Adam Skornia, Eva Rühl, Fritz Steußloff, Julia Zott, Christian Mardin, Wolfgang Mehringer, Marion Ganslmayer, Georg Michelson, Bettina Hohberger

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Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange by Mohammad Osoolian, Ali Nikmaram, Mahdi Karimi

“…A wide array of predictive modeling techniques have been meticulously investigated, spanning from conventional statistical methodologies to more sophisticated machine learning algorithms. The primary focus of this research endeavor revolves around the predictive analysis of the Tehran Stock Exchange (TSE) Composite Index, wherein a novel hybrid neural network framework is employed. …”
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