Development of Run-Balance-Swim-Balance (RBS) exercise model in physical education learning to improve physical literacy: a special study on the biak tribe by Ipa Kardi, Daniel Womsiwor, Saharuddin Ita, Alimuddin, Yahya Eko Nopiyanto, Ibrahim, Baharuddin Hasan, Miftah Faris Prima Putra, Ansar CS

Get full text

A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study by Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, Ingrid Tveten, Thomas Langø, Håkon O. Leira, Tore Amundsen, Hanne Sorger

Subjects: Get full text

Development and effectiveness evaluation of an interactive e-learning environment to enhance digital health literacy in cancer patients: study protocol for a randomized controlled trial by Lukas Lange-Drenth, Hellena Willemer, Mirjam Banse, Anke Ernst, Anne Daubmann, Anja Holz, Christiane Bleich, Susanne Weg-Remers, Holger Schulz

Subjects: Get full text

Piloting an external quality assurance program (QAP) for COVID-19 antigen rapid diagnostic tests (Ag-RDTs): findings and lessons learned from Cambodia by Vonthanak Saphonn, John Kaldor, Deborah Williamson, Sothavireak Bory, Philip Cunningham, Jessica Markby, Kennarey Seang, Jacqueline Prestedge, Chan Leakhena Phoeung, Marilyn Ninan, Kanika Heng, Andrew Valley

Get full text

Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review by M. E. Alqaysi, A. S. Albahri, Rula A. Hamid

“…It is challenging to discover autism in the early stages of life, which prompted researchers to intensify efforts to reach the best solutions to treat this challenge by introducing artificial intelligence (AI) techniques and machine learning (ML) algorithms, which played an essential role in greatly assisting the medical and healthcare staff and trying to obtain the highest predictive results for autism spectrum disorder. …”
Get full text

Machine Learning-Devised Immune-Related lncRNA Signature Panel Predicts the Prognosis and Immune Landscape in Breast Cancer Novel IRLP Signature in BRCA by Jun-Yu Zhu, An-Qi Lyu, Zhang-Ting Wang, Wai-Yee Chan, Tao Qin, Kai-Kei Miu, He-Rui Yao

Get full text

Mapping Susceptibility and Risk of Land Subsidence by Integrating InSAR and Hybrid Machine Learning Models: A Case Study in Xi'an, China by Chen Chen, Mimi Peng, Mahdi Motagh, Xinxin Guo, Mengdao Xing, Yinghui Quan

Subjects: Get full text

Impact and perceptions of Active Learning Classrooms on reducing sedentary behaviour and improving physical and mental health and academic indicators in children and adolescents: A scoping review. by Mairena Sánchez-López, Jesús Violero-Mellado, Vicente Martínez-Vizcaíno, Arto Laukkanen, Arja Sääkslahti, María Eugenia Visier-Alfonso

“…Prolonged sitting in school harms children's physical and mental health and reduces the ability to focus on classroom tasks. 'Active Learning Classrooms' (ALCs) aim to decrease sitting time, following current pedagogical trends, though research on the effects of ALCs on these aspects is still an emerging field. …”
Get full text

Corrections to “Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems” by Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri

“…Presents corrections to the paper, Corrections to “Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems”.…”
Get full text

Deep Transfer Learning for Classification of Late Gadolinium Enhancement Cardiac MRI Images into Myocardial Infarction, Myocarditis, and Healthy Classes: Comparison with Subjective Visual Evaluation by Amani Ben Khalifa, Manel Mili, Mezri Maatouk, Asma Ben Abdallah, Mabrouk Abdellali, Sofiene Gaied, Azza Ben Ali, Yassir Lahouel, Mohamed Hedi Bedoui, Ahmed Zrig

Subjects: “…deep learning…”
Get full text

What factors influence the willingness and intensity of regular mobile physical activity?— A machine learning analysis based on a sample of 290 cities in China by Hao Shen, Bo Shu, Jian Zhang, Yaoqian Liu, Ali Li

Subjects: Get full text

Comparison of Learning Curves and Clinical Outcomes in Unilateral Biportal Endoscopic Spinal Surgery Versus Percutaneous Transforaminal Endoscopic Surgery: A Cumulative Sum Analysis by Yuan S, Chen R, Mei Y, Fan N, Wang T, Wang A, Du P, Xi Y, Zang L

Subjects: “…learning curve · clinical outcome · unilateral biportal endoscopic spinal surgery · percutaneous transforaminal endoscopic surgery · cumulative sum analysis…”
Get full text

Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E-stained images for ovarian cancer prognosis by Chun Wai Ng, Kwong-Kwok Wong, Barrett C. Lawson, Sammy Ferri-Borgogno, Samuel C. Mok

Subjects: Get full text

Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

Subjects: Get full text

Evaluation of Problem Based Gamification Learning (PBGL) Model on Critical Thinking Ability with Artificial Intelligence Approach Integrated with ChatGPT API: An Experimental Study by Remerta Noni Naatonis, Rusijono Rusijono, Miftakhul Jannah, Edwin Ariesto Umbu Malahina

“…This research has the potential to be a reference in digital curriculum design with generative A.I approaches such as ChatGPT API, showing that A.I can enrich learning materials, personalized materials and provide flexibility for students and teachers in the digital era. …”
Get full text

Penerapan Model Problem Based Learning dengan Metode Brainstorming untuk Meningkatkan Kemampuan Pemecahan Masalah Siswa di SMAN 3 Kota Bengkulu by Esti Liani, Dedy Hamdani, Eko Risdianto

“… Penelitian bertujuan untuk meningkatkan kemampuan pemecahan masalah siswa dengan menggunakan model Problem Based Learning dengan metode Brainstorming pada siswa SMA. …”
Get full text

THE EFFECT OF USING “EDMODO AND QUIPPER SCHOOL” IN BLENDED LEARNING METHOD TOWARDS STUDENTS’ WRITING SKILL AT THE SECOND YEAR STUDENTS OF SMAN 1 BENGKULU TENGAH by Dian Permatasari

“…This research aims to compare whether there was an effect on students’ writing quality when students were taught with blended learning method, combined with Edmodo or Quipper School. …”
Get full text

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

Subjects: Get full text

Translation, psychometric evaluation, and network analysis of the parental acceptance and action questionnaire (PAAQ) among Arab parents of children with and without specific learning disability (dyslexia) by Norah Alkhateeb

Get full text

Exploring the Impact of the COVID-19 Pandemic on Learning Experience, Mental Health, Adaptability, and Resilience Among Health Informatics Master’s Students: Focus Group Study by Nadia Davoody, Natalia Stathakarou, Cara Swain, Stefano Bonacina

“…ObjectiveThis study aimed to explore the overall learning experience among health informatics master’s students at Karolinska Institutet, Sweden, and the strategies they used to overcome learning challenges posed by the COVID-19 pandemic. …”
Get full text