The Impact of Brain-Based Teaching on Iranian EFL Learners' Vocabulary Retention and Recall by Davoud Amini, Mahsa Rahmani Asl, Abolfazl Ghasemzadeh

“…The brain-based learning (BBL) approach refers to a learning method which attends to the structural and functional properties of the brain when involved in learning. …”
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Game-based motor coordination (GBMC): an innovative approach to early childhood development by Rembulan Catra Banyu Biru, Vevi Sunarti, Arischo Mardiansyah

“…Conclusions: The GBMC model effectively enhances motor coordination and is positively received by teachers involved in this study as an innovative method for supporting meaningful and structured physical education for low-grade students in Indonesia (ages 7–9). …”
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A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students by Flórián Gubics, Ádám Nagy, József Dombi, Antónia Pálfi, Zoltán Szabó, Zsolt János Viharos, Anh Tuan Hoang, Vilmos Bilicki, István Szendi

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The effect of embodied learning on students’ learning performance: A meta-analysis by Zhiwei Liu, Haode Zuo, Yan Zhao, Yongjing Lu

“…It also seeks to explore variations based on moderators such as discipline, educational level, experiment period, sample size, region, learning approach, embodied level and type.MethodsA meta-analysis was conducted on 46 studies (66 effect sizes) published between 2010 and 2025. …”
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Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation by Tristan Whitmarsh, Wei Cope, Julia Carmona-Bozo, Roido Manavaki, Stephen-John Sammut, Ramona Woitek, Elena Provenzano, Emma L. Brown, Sarah E. Bohndiek, Ferdia A. Gallagher, Carlos Caldas, Fiona J. Gilbert, Florian Markowetz

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Application of dynamic enhanced scanning with GD-EOB-DTPA MRI based on deep learning algorithm for lesion diagnosis in liver cancer patients by Bo Liu, Jinhua Yang, Yifei Wu, Xi Chen, Xueru Wu

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Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life’s essential 8: a cross-sectional study by Haolin Shi, Yangyi Fang, Xiuhua Ma

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Construction and validation of a machine learning-based nomogram model for predicting pneumonia risk in patients with catatonia: a retrospective observational study by Yi-chao Wang, Qian He, Yue-jing Wu, Li Zhang, Sha Wu, Xiao-jia Fang, Shao-shen Jia, Fu-gang Luo

“…This study aimed to develop a Nomogram Model based on pre-admission characteristics of patients with catatonia to predict the risk of pneumonia after admission.MethodsThis retrospective observational study reviewed catatonia patients hospitalized at Hangzhou Seventh People’s Hospital from September 2019 to November 2024. …”
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THE EFFECT OF TEACHER PROFESSIONAL COMPETENCE AND LEARNING FACILITY ON STUDENTS’ LEARNING MOTIVATION by Iin Sunarti, Teni Rumyani

“…Based on the result of calculation of double regression analysis, it shows that teacher professional competence and learning facility had positive and significant effect on students learning motivation both partially and simultaneously. …”
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Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate ca... by Zhiping Li, Liqin Yang, Ximing Wang, Huijing Xu, Wen Chen, Shuchao Kang, Yasheng Huang, Chang Shu, Feng Cui, Yongsheng Zhang

“…Abstract Objective To develop and evaluate a intralesional and perilesional radiomics strategy based on different machine learning model to differentiate International Society of Urological Pathology (ISUP) grade > 2 group and ISUP ≤ 2 prostate cancers (PCa). …”
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Machine learning for predicting all-cause mortality of metabolic dysfunction-associated fatty liver disease: a longitudinal study based on NHANES by Xueni Wang, Huihui Chen, Luqiao Wang, Wenguang Sun

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Sea Surface Height Inversion Model Based on Multimodal Deep Learning for the Fusion of Heterogeneous FY-3E GNSS-R Data by Yun Zhang, Ganyao Qin, Shuhu Yang, Yanling Han, Zhonghua Hong

“…Traditional physical altimetry methods based on delay–Doppler mapping (DDM) are subject to errors that are difficult to correct computationally. …”
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Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea by Taeyong Sim, Eun Young Cho, Ji-hyun Kim, Kyung Hyun Lee, Kwang Joon Kim, Sangchul Hahn, Eun Yeong Ha, Eunkyeong Yun, In-Cheol Kim, Sun Hyo Park, Chi-Heum Cho, Gyeong Im Yu, Byung Eun Ahn, Yeeun Jeong, Joo-Yun Won, Hochan Cho, Ki-Byung Lee

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An Active-Learning Framework for Educating Medical Students on SARS-CoV-2 Variants and COVID-19 Epidemiology [version 1; peer review: 2 approved] by Samiksha Prasad, Amanda J Chase

“…Methods This team-based learning (TBL) framework was developed in response to the COVID-19 pandemic and the emergence of viral variants. …”
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The anxiety behind the screen: exploring the relationship between knowledge-based videos engagement and learning anxiety among postgraduate entrance exam candidates, mediated by se... by Kunjin Xu, Liangye Bao, Dan Zhang

“…The findings will offer empirical guidance for using knowledge-based videos to alleviate learning anxiety.MethodsFrom September 4 to 30, 2024, a convenience sampling method was used to survey 466 candidates preparing for the 2025 national PEE in China. …”
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Beyond meta-studies: Learnings from a large multi-site primary dataset on non-tangible benefits of nature-based solutions by Martina Viti, Jacob Ladenburg, Roland Löwe, Hjalte J.D. Sørup, Ursula S. McKnight, Karsten Arnbjerg-Nielsen

“…Nature-Based Solutions (NBS) are growing in popularity as approaches for, among others, the reduction of hydro-meteorological risks. …”
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Exploration of potential biomarkers and immune cell infiltration characteristics for peripheral atherosclerosis in sjögren’s syndrome based on comprehensive bioinformatics analysis... by Chunjiang Liu, Yuan Wang, Lina Zhou, Feifei Cai, Xiaoqi Tang, Liying Wang, Xiang Zhang

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Designing a Platform for Additional Subject Training of Schoolchildren Based on Professional Requests of Teachers by P. S. Lomasko, A. L. Simonova, D. A. Barkhatova, L. B. Khegay

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An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer by Lihuan Dai, Jinxue Yin, Xin Xin, Chun Yao, Yongfang Tang, Xiaohong Xia, Yuanlin Chen, Shuying Lai, Guoliang Lu, Jie Huang, Purong Zhang, Jiansheng Li, Xiangguang Chen, Xi Zhong

“…Here, we developed and validated an interpretable machine learning (ML) model based on contrast-enhanced computed tomography (CECT) radiomics for preoperatively predicting PD-L1 expression status in patients with gastric cancer (GC). …”
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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study by Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

“…However, despite encouraging results, MDW has poor sensitivity and positive predictive value when compared to other biomarkers. …”
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