Teaching and learning clinical reasoning skill in undergraduate medical students: A scoping review. by Somayeh Delavari, Farzaneh Barzkar, Remy M J P Rikers, Mohammadreza Pourahmadi, Seyed Kamran Soltani Arabshahi, Abbasali Keshtkar, Helen Dargahi, Minoo Yaghmaei, Alireza Monajemi

“…<h4>Purpose</h4>This scoping review aimed to identify and summarize the existing literature on learning and teaching strategies for improving clinical reasoning skill in undergraduate medical education.…”
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Nursing and Midwifery Students’ Satisfaction with Their Clinical Rotation Experience: The Role of the Clinical Learning Environment by Alhassan Basour Adam, Andrew Adjei Druye, Akwasi Kumi-Kyereme, Wahab Osman, Afizu Alhassan

“…Background. The clinical learning environment and clinical rotation experience of students are integral to nursing curriculum and are a crucial component of nursing education which helps transform theoretical knowledge to clinical practical skills. …”
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A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things by Chen Dong, Jinghui Chen, Wenzhong Guo, Jian Zou

“…In this study, we propose a machine-learning-based hardware-Trojan detection method at the gate level. …”
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Challenges and insights of transferring animal maze studies principles to human spatial learning research by Piruza Manukyan, Elizaveta Romanova, Alexander Latanov, Pavel Shlepnev, Anastasia Sharapkova, Naida Garabova, Vladimir Kasatkin, Vera Tolchennikova

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A Machine Learning-Based Model for Predicting Atmospheric Corrosion Rate of Carbon Steel by Ngoc-Long Tran, Trong-Ha Nguyen, Van-Tien Phan, Duy-Duan Nguyen

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The attitudes of teachers and students towards ‘one-to-five’ students’ network: Implications for students’ learning by Nigusse Weldemariam Reda, Tsegay Girmany Hagos

Subjects: “…Students' network, attitude, cooperative learning, students' learning…”
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Design of an Early Prediction Model for Parkinson&#x2019;s Disease Using Machine Learning by K. Velu, N. Jaisankar

“…In literature, diverse Machine Learning models are employed for Parkinson&#x2019;s disease diagnosis utilizing voice analysis. …”
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Making Good Decisions: Television and Young Children’s Learning, A Parent Tip Sheet by David C. Diehl, Stephanie C. Toelle

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Organ In Vitro Culture: What Have We Learned about Early Kidney Development? by Aleksandra Rak-Raszewska, Peter V. Hauser, Seppo Vainio

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Gendered Dimensions of AI Integration in Language Learning: A Review in the Context of Art and Digitalization by Alireza Dezfooli

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Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms by Zhichao Wang, Long Cheng, Guanghui Li, Huiyan Cheng

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Participation in international un iversity rankings as a factor of improving the quality of teaching and learning by Sergey V. Ablameyko, Michail A. Gusakovsky

“…The role and practical significance of international university rankings are discussed asmeans of improving the quality of teaching and learning, research and management. Special focus is made on Belarusian State University’ participation in the international rankings QS WUR, Webometrics, SCImago Institutions Rankings (SIR), University Ranking by Academic Performance (URAР).…”
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A deep learning‐based framework to identify and characterise heterogeneous secure network traffic by Faiz Ul Islam, Guangjie Liu, Weiwei Liu, Qazi Mazhar ul Haq

Subjects: “…deep learning…”
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Pedagogical Experiment and Modeling of the Learning Process for Assessing Knowledge about the Criteria Assessment System by Sagyngali Kalkashev, Gaisin Ilgizar, Bakhadurkhan Abdimanapov, Nurbol Ussenov, Aliya Ayapbekova, Kuralai Khamitova

“…The findings highlight the importance of clear evaluation standards and tools for effective teaching and learning. Pedagogical and psychological aspects of competence formation are researched and based. …”
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Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches by Samina Amin, Muhammad Irfan Uddin, Duaa H. alSaeed, Atif Khan, Muhammad Adnan

“…This work proposes a machine-learning-based approach to detect dengue and flu outbreaks in social media platform Twitter, using four machine learning algorithms: Random Forest (RF), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Decision Tree (DT), with the help of Term Frequency and Inverse Document Frequency (TF-IDF). …”
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Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms by Dae-Yeon Kim, Dong-Sik Choi, Ah Reum Kang, Jiyoung Woo, Yechan Han, Sung Wan Chun, Jaeyun Kim

“…To this end, this study proposes an intelligent ensemble deep learning system to predict BG values in 15, 30, and 60 min prediction horizons (PHs) based on historical BG values collected via continuous glucose monitoring devices as an endogenous factor and carbohydrate intake and insulin administration information (times) as exogenous factors. …”
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Fully automated segmentation and classification of renal tumors on CT scans via machine learning by Jang Hee Han, Byung Woo Kim, Taek Min Kim, Ji Yeon Ko, Seung Jae Choi, Minho Kang, Sang Youn Kim, Jeong Yeon Cho, Ja Hyeon Ku, Cheol Kwak, Young-Gon Kim, Chang Wook Jeong

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Optimal Scheduling Model of WDM/OTN Network Transmission Line Based on Machine Learning by Jianhua Zhao, Jingquan Li, Huicong Fan, Wenxiao Li, Jingna Zhang, Xiaoyuan Dai

“…In order to solve the problem that the influencing factors are difficult to parameterize in the design and development of WDM/OTN backbone network routing planning tools, the author proposes an optimal scheduling model for WDM/OTN network transmission lines based on machine learning. Using the machine learning classification algorithm as a tool, the weight coefficients of each constraint factor are extracted from the historical design decisions, and the routing parameter model is constructed, so as to realize the intelligent routing selection, through actual simulation analysis and engineering verification. …”
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Development of mobile augmented reality-based geometry learning games to facilitate spatial reasoning by Arif Sapta Mandala, Lathiful Anwar, Cholis Sa'dijah, Hutkemri Zulnaidi

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HIGH-PROFICIENCY AND LOW-PROFICIENCY LEARNERS’ COMPENSATION STRATEGIES USE IN ENGLISH LANGUAGE LEARNING by Tania Tahmina

Subjects: “…compensation strategies, high-proficiency learners, low-proficiency learners, language learning…”
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