Effect of self-care education via distance learning and the reversal method on self-care behaviors and quality of life in patients with heart failure: A quasi-experimental study by Zahra Khezerlou, Nader Aghakhani, Rozita Cheraghi, Vahid Alinejad

“…However, after the intervention, the mean scores of self-care education and quality of life, except for the physical dimension, were statistically significant among the three groups (P=0.0001). Based on the positive impact of both the reversal and distance learning methods on self-care and quality of life in heart failure patients, it is recommended to use these two educational methods due to their simplicity and ease of application in educating these patients.…”
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Midwives’ experiences with simulation-based team training in newborn resuscitation: impacts on clinical practice by Liza Olsen-Bremmeng, Linda Wike Ljungblad

“…Specifically, the study seeks to highlight how simulation-based team training can enhance teamwork, strengthen professional competencies, improve team communication, and positively influence patient outcomes in neonatal care. …”
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The efficacy of psychological capital training on positive emotions and academic optimism among students by Masoumeh Besharati Pour, Alireza Hajiyakhchali, Manigah Shehni Yailagh, Gholamhossien Maktabi

“…Background: As students’ progress through their formal education, they experience a range of emotions - both positive and negative-associated with their learning. …”
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Crowdsourced Indoor Positioning: Integrating 5G NR and WiFi Technologies by P. Ye, L. Chen

“…Crowdsourced WiFi and mobile communication signal fingerprinting are critical for achieving large-scale indoor positioning for consumers. However, existing crowdsourced positioning solutions are not suitable for typical environments like shopping malls due to the need for additional equipment, and their learning methods often have low computational efficiency and generalization ability in complex environments. …”
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SVD-Based Feature Reconstruction Metric Network With Active Contrast Loss for Few-Shot SAR Target Recognition by Jia Zheng, Ming Li, Xiang Li, Peng Zhang, Yan Wu

“…Furthermore, an active contrastive loss is proposed to reduce the distance between features of the same class and increase the separability between features of different classes by selecting representative samples to establish positive-negative sample pairs. Experimental results demonstrate that our proposed algorithm can achieve comparable metric performance compared to other metric-based few-shot learning methods.…”
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The Correlation of External Motivation and Agency Position in The Educational Activity of Primary School Students by Tsoy L.V., Kulagina I.Y.

“…Kulagina), the projective method "Attitude to learning" (O.N. Pakhomova) and the projective method of unfinished sentences. …”
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Automatic Compressive Sensing of Shack–Hartmann Sensors Based on the Vision Transformer by Qingyang Zhang, Heng Zuo, Xiangqun Cui, Xiangyan Yuan, Tianzhu Hu

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THE IMPACT OF TMIP-BASED WEB IN TEACHING TOEFL ON STUDENTS' TOEFL SCORES by Ahmad Nusi, M Zaim, Yelliza Yelliza

“…The study conducted at the Practical Language Learning Center (PLLC) aimed to compare the effectiveness of two teaching methods for TOEFL preparation: the TMIP-Based Web in Teaching TOEFL method and a conventional approach or no specific intervention. …”
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Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network by Yuanfang Peng, Chenglin Cai, Zexian Li, Kaihui Lv, Xue Zhang, Yihao Cai

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Early diagnosis of sepsis-associated AKI: based on destruction-replenishment contrast-enhanced ultrasonography by Zexing Yu, Xue Shi, Yang Song, Xin Li, Ling Li, Huiyu Ge

“…ObjectiveEstablish a deep learning ultrasound radiomics model based on destruction-replenishment contrast-enhanced ultrasound (DR-CEUS) for the early prediction of acute kidney injury (SA-AKI).MethodThis paper proposes a deep learning ultrasound radiomics model (DLUR). …”
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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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Validity and Reliably Test: An Analysis of Students’ Comprehension and Skill in Applied Physics by Melly Angglena, Fhandy Pandey

“… The low level of students’nderstanding of basic physics concepts impacts their learning outcomes. To address this issue, several teaching methods were implemented, including project-based learning (PBL), problem-solving, simulation, interactive discussions, and group presentations. …”
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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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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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Aleatoric and Epistemic Uncertainty Reduction for Vision-Based Landing System for Fixed-Wing Aircraft: VLS-FWA by Dheeraj Bharti, K. S. Venkatesh

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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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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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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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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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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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