Mapping Wetlands with High-Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand by Md. Saiful Islam Khan, Maria C. Vega-Corredor, Matthew D. Wilson

“…In this research, our motivation was to test whether high-spatial-resolution PlanetScope imagery can be used with pixel-based machine learning to support the mapping and monitoring of wetlands at a national scale. (2) Methods: This study compared four machine learning classification models—Random Forest (RF), XGBoost (XGB), Histogram-Based Gradient Boosting (HGB) and a Multi-Layer Perceptron Classifier (MLPC)—to detect and map wetland areas across New Zealand. …”
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Effect of task based teaching on reading and comprehension skills of midwifery students by Mojgan Mesbah, Masumeh Faghani, M Adib, Fatemeh Salamat

“…Conclusion: In attention to positive effect of task based teaching method comparing traditional method on midwifery students reading and comprehension skills, it is suggested that teachers should use process based methods such as homework based method in teaching English language.…”
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Adaptive Warning Thresholds for Dam Safety: A KDE-Based Approach by Nathalia Silva-Cancino, Fernando Salazar, Joaquín Irazábal, Juan Mata

“…Traditional monitoring systems typically employ predictive models—based on techniques such as the finite element method (FEM) or machine learning (ML)—to compare real-time data against expected performance. …”
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Ebola virus disease contact tracing activities, lessons learned and best practices during the Duport Road outbreak in Monrovia, Liberia, November 2015. by Caitlin M Wolfe, Esther L Hamblion, Jacqueline Schulte, Parker Williams, Augustine Koryon, Jonathan Enders, Varlee Sanor, Yatta Wapoe, Dash Kwayon, David J Blackley, Anthony S Laney, Emily J Weston, Emily K Dokubo, Gloria Davies-Wayne, Annika Wendland, Valerie T S Daw, Mehboob Badini, Peter Clement, Nuha Mahmoud, Desmond Williams, Alex Gasasira, Tolbert G Nyenswah, Mosoka Fallah

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A data-driven evaluation of the grant program for excellence in learning and teaching (PELT): AI-leveraged insights from faculty, students, and academic metrics by Ahmad Abdul-Wahhab Shahba, Ahmad Abdul-Wahhab Shahba, Saud Alkathiri, Saud Alkathiri, Elham Alsadoon, Elham Alsadoon, Walid Soufan, Walid Soufan

“…Textual feedback from faculty and students was subjected to AI-assisted thematic and sentiment analysis to uncover key themes and insights.ResultsThe PELT program showed a positive impact on faculty’s pedagogical skills, teaching methods, and perceptions of student learning. …”
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Factors associated with James Cook University medical students experiencing ‘high quality’ clinical learning on final-year rural placement by Brooke Mackie, Torres Woolley, Aaron Hollins, Leanne Hall

“…Conclusion: The study findings suggest the key to JCU medical students having 'high quality' clinical learning on rural placements is by developing supportive learning relationships with senior, permanently based rural doctors who are willing to teach and know their scope of practice and specific placement learning requirements; and experiencing a diverse roster across hospital, GP and outreach clinics but with significant placement time in the ED. …”
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Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmatio... by Muqing Yan, Qiandong Zeng, Zhenxi Zhang, Patricia Okamoto, Stanley Letovsky, Angela Kenyon, Natalia Leach, Jennifer Reiner

“…Results WES variant calls from Genome in a Bottle (GIAB) cell lines and their associated quality features were used to train five different machine learning models to predict whether a variant was a true positive or false positive based on quality metrics. …”
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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

“…ObjectiveThis study aims to develop and validate a deep learning–based model that integrates multimodal data to identify patients with AAD at high risk of MMP. …”
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Use of a 2-year continuing professional development programme to change Japanese physicians’ attitudes to learning primary care: a qualitative study by Masato Matsushima, Yasuki Fujinuma, Masayasu Seki, Tatsuhiro Joki, Hideo Okonogi, Yasuhiko Miura, Iwao Ohno, Jun Hiramoto

“…Analysis of the focus group content using the Steps for Coding and Theorization method.Setting Japan.Participants Eight primary care physicians who completed a 2-year continuing professional development (CPD) programme using a problem-based learning (PBL) approach, focused on acquiring the skills needed to practise as primary care physicians in the community.Results Participants described positive changes in their attitudes and behaviours as a result of the training programme. …”
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Collaborative Filtering Recommendation-Based Random Negative Sampling and Graph Attention by Weiqiang Li, Xianghui Li, Xiaowen Liu, Xinhuan Chen, Ming Ma

“…These methods learn embedding representations for users and items. …”
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SOME ISSUES OF TEACHING AND LEARNING OF CORPORATE GOVERNANCE IN LAW INSTITUTIONS AND UNIVERSITIES IN THE CONTEXT OF THE INTERNATIONAL MASTER’S DOUBLE DEGREE PROGRAM «EUROPEAN AND I... by Sergey Yu. Marochkin, Marina I. Shunevich

“…The research is based on the dialectic method regulating legislative norms, including the corporate right and activity of managing subjects. …”
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Modern Opportunities Increasing Motivation of Students to Study by Besh L., Dmytryshyn B., Besh О., Yaskevych О., Matsyura О.

“…Motivational component of learning activities covers cognitive needs, motives and sense of education. …”
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Becoming a visual arts teacher with a/r/tography by Tarja Karlsson Häikiö, Annika Hellman

“…Three examination projects were presented exemplifying how the use of art-based methods supports an understanding of subject didactics in the process of becoming a visual arts teacher. …”
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A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort study by Hao Zhang, Genji Yuan, Ziyue Zhang, Xiang Guo, Ruixiang Xu, Tongshuai Xu, Xin Zhong, Meng Kong, Kai Zhu, Xuexiao Ma

“…For the development of the Positioning and Focus Network (PFNet), we used a training dataset consisting of 1071 participants from Hospitals A and B. …”
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Promoting the wellbeing of the whole person: a within-subjects mixed-methods study exploring the effects of the flourishing intervention among individuals with depressive symptoms by Camilla Casaletti Braghetta, Juliane Piasseschi de Bernardin Gonçalves, Willyane de Andrade Alvarenga, Richard G. Cowden, Richard G. Cowden, Clarice Gorenstein, Clarice Gorenstein, Giancarlo Lucchetti, Homero Vallada

“…The study also seeks to understand participants’ experiences, acceptability, and satisfaction with the intervention.MethodsA quasi-experimental pre-post mixed-methods design was used, incorporating an embedded approach in which descriptive qualitative data complemented quantitative data. …”
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Yalbilinya Miya (learn together): community-led program to support Aboriginal and Torres Strait Islander women through their breastfeeding journey—a protocol by Smriti Nepal, Deanna Kalucy, Janice Nixon, Simone Sherriff, Natalie Smith, Michelle Dickson, Chelsea Rowley, Hilary Honeysett, Tarnie Brown, Megan Elliott-rudder, Summer M Finlay, Kristy Williams, Rachael Fikkers, Peta Larsen, Annika Honeysett

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Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study by Chanmin Park, Changho Han, Su Kyeong Jang, Hyungjun Kim, Sora Kim, Byung Hee Kang, Kyoungwon Jung, Dukyong Yoon

“…We evaluated machine learning algorithms (random forest [RF], extra-trees classifier, and light gradient boosting machine) and selected the RF model as the final model based on its performance. …”
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A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

“…Statistical learning theory is a research specialization of machine learning, especially applicable to small samples. …”
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Rational emotive behavior therapy for reducing adolescent anxiety in post-covid-19 pandemic online learning: group approach and single case design by I Dewa Ayu Eka Purba Dharma Tari, I Made Mahaardhika

“…The analysis of pre- and post-test data revealed a significant reduction of 33.5% in anxiety levels, with statistical analysis showing a p-value of 0.025 (<0.05), confirming the positive impact of REBT. The study highlights the importance of addressing anxiety during transitions in education and underscores the potential of REBT in improving students' emotional well-being in post-pandemic learning environments. …”
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Enhancing medical response efficiency in real-time large crowd environments via smart coverage and deep learning for stable ecological health monitoring by Asma A. Alhashmi, Ghada Moh. Samir Elhessewi, Mukhtar Ghaleb, Nazir Ahmad, Nojood O. Aljehane, Tareq M. Alkhaldi, Hamad Almansour, Samah Al Zanin

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