The development of a C5.0 machine learning model in a limited data set to predict early mortality in patients with ARDS undergoing an initial session of prone positioning by David M. Hannon, Jaffar David Abbas Syed, Bairbre McNicholas, Michael Madden, John G. Laffey

“…The decision to perform prone positioning was based on the criteria in the PROSEVA study. …”
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Improving medical students’ learning strategies, management of workload and wellbeing: a mixed methods case study in undergraduate medical education by Christopher-James Harvey, Kathleen E. Leedham-Green, Cristina Koppel, Arti Maini, Susan F. Smith, Mary J. Morrell, Michael Emerson

“…Passive study methods often fail, while evidence-based strategies like retrieval practice, active learning, and growth mindset foster success. …”
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Students Perceptions, Satisfactions and Challenges on Problem-Based Learning (PBL): A Survey Study Among Final Year Pharmacy Students by Engku Nuraishah Huda E. Zainudin, Fakhira Damia Khaidir, May Khin Soe, Nurul Asyiqin Yusof, Khairool Azizul Mohammad

“… Introduction: Problem-based learning (PBL) is being adopted more frequently in pharmacy education to enhance skills such as problem-solving, and self-directed learning. …”
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Indoor Positioning Systems in Logistics: A Review by Laura Vaccari, Antonio Maria Coruzzolo, Francesco Lolli, Miguel Afonso Sellitto

“…Geometric methods, particularly multilateration, proved to be the most effective for positioning and are supported by advanced filtering techniques like the Extended Kalman Filter and machine learning models such as Convolutional Neural Networks. …”
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Capability level and development priority of learning environment and diversity of learners’ domain by Saturnino Dalagan Jr., Maria Kristina Atugan

“…Creating a conducive learning environment has been a target to build a supportive and peaceful classroom where diverse learners were engaged for them to learn better. …”
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Insights into simulation-based learning: student and faculty experiences in a PharmD program in Saudi Arabia by Reem Binsuwaidan, Najla A. Altwaijry, Alnada A. Ibrahim, Rawan A. Alghamdi, Razan Bin Humaid, Alaa A. AlSharif, Alaa A. AlHubaishi, Elshaymaa I. Elmongy, Lina I. Alnajjar, Ghadah H. Alshehri

“…Abstract Background Simulation-based learning is a highly effective and increasingly popular method of teaching in medical education. …”
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Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization. by Honghua Liu, Mingwei Zhao, Chang She, Han Peng, Mailan Liu, Bo Li

“…This paper proposes a low false positive rate disease detection method based on COVID-19 lung images and establishes a two-stage optimization model. …”
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Problem-based Learning (PBL) Using Resource Mining as a Teaching Approach: An Action Research by Tomas Jr Diquito, Aia Sept Franco, Maria Ericka Caballes

“…Problem-Based Learning (PBL) is a teaching approach wherein learners are immersed in different issues to create real-life solutions. …”
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Remote Sensing of River Discharge From Medium‐Resolution Satellite Imagery Based on Deep Learning by Zhen Hao, Naier Xiang, Xiaobin Cai, Ming Zhong, Jin Jin, Yun Du, Feng Ling

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Improving Pairs Trading Strategies Using Two-Stage Deep Learning Methods and Analyses of Time (In)variant Inputs for Trading Performance by Wei-Lun Kuo, Wei-Che Chang, Tian-Shyr Dai, Ying-Ping Chen, Hao-Han Chang

“…When the portfolio is significantly over- (under-)priced measured by another predetermined stop-loss threshold, we close the position to stop loss. This paper develops a two-stage deep learning method to improve the investment performance of a PTS. …”
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A Spider Wasp Optimizer-Based Deep Learning Framework for Efficient Citrus Disease Detection by Abisola Olayiwola, Ajibola Oyedeji, Dare Olayiwola, Olufemi Awodoye, Olukunle Oyebode

“…Performance evaluations based on sensitivity, specificity, false positive rate, accuracy, and identification time show that the SWO-DCNN outperforms the conventional DCNN in every disease category. …”
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Problem Based Learning Model Integrated Islamic Values with Mind Mapping Assessment to Improve Students' Creative Thinking Skills by Uyumatul Ummah, Evi Roviati, Mujib Ubaidillah

“…The study aims to describe student learning activities, analyze students' creative thinking skills, and describe student responses by applying a the problem-based learning (PBL) model that integrates Islamic values with mind-mapping assessments. …”
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Co-designing and testing the learn together guidance to support patient and family involvement in patient safety investigations: a mixed-methods study by Jane O’Hara, Lauren Ramsey, Siobhan McHugh, Joseph Langley, Justin Waring, Ruth Simms-Ellis, Gemma Louch, Jenni Murray, Carl Macrae, John Baker, Rebecca Lawton, Daisy Halligan, Olivia Rogerson, Penny Phillips, Debra Hazeldine, Sarah Seddon, Joanne Hughes, Rebecca Partridge, Katherine Ludwin, Laura Sheard

“…Our guidance was found to be feasible, with stakeholders being positive about involvement and the impact on organisational learning. …”
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MACHINE LEARNING-BASED CLASSIFICATION OF HBV AND HCV-RELATED HEPATOCELLULAR CARCINOMA USING GENOMIC BIOMARKERS by Sami Akbulut, Zeynep Küçükakçalı, Cemil Çolak

“…Conclusion: As a result of the study, two different etiological factors (HBV and HCV) causing HCC were classified using a machine learning-based prediction approach, and genes that could be biomarkers for HBV-related HCC were identified. …”
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Micro-electrical Discharge Machining of Micro-holes Based on Integrated Orthogonal Experiments and CNN Methods by Yuandong MO, Yazhi WANG, Shuqi HUANG, Jiajun ZHONG

“…Objective To improve the precision of the micro-electrical discharge machining (micro-EDM) of micro-holes, a pioneering approach is undertaken in this study. Deep learning is applied innovatively to micro-hole micro-EDM, weaving together orthogonal experiments and deep learning to present an intricate methodology, i.e., an integrated fusion of orthogonal experiments and convolutional neural networks (CNNs). …”
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Experiences Using Media Health Claims to Teach Evidence-Based Practice to Healthcare Students: A Mixed Methods Study [version 2; peer review: 1 approved, 2 approved with reservatio... by Astrid Dahlgren, Marianne Molin, Jürgen Kasper, Lisa Garnweidner-Holme, Hilde Tinderholt Myrhaug, Ida-Kristin Orjasaeter Elvsaas

“…Synthesizing the results, we found that students viewed the inclusion of health claim assessment as a useful entry point for learning evidence-based practice. In addition, the students identified both the blended learning design and the group exam as contributors to a positive perception of learning outcomes from the course. …”
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A novel paradigm in cleft lip education: integration of 3D-printed simulator and problem-based learning by Xiao-Le Wang, Ying Xie, Ye-Xin Yue, Xue-Wen Yang, Jian Li

“…Consequently, it is also a pivotal and difficult subject in clinical education. Problem-based learning (PBL) is a student-centered teaching methodology that facilitates students in solving complex, practical, or real-world problems collaboratively. …”
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Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks by Ankur Bhatt, Ko Watanabe, Jayasankar Santhosh, Andreas Dengel, Shoya Ishimaru

“…Our results underscore the superior performance of the deep-learning model in estimating self-confidence in video-based learning contexts compared to hand-crafted feature-based methods. …”
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More Accurate Constraints for Self-Supervised Learning in Remote Sensing Images-Based Object Detection by Shangdong Zheng, Zebin Wu, Yang Xu, Qian Liu, Zhihui Wei

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Robust Representation Learning Based on Deep Mutual Information for Scene Classification Against Adversarial Perturbations by Linjuan Li, Gang Xie, Haoxue Zhang, Xinlin Xie, Heng Li

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