Prediction of Gross Primary Productivity Change in Central Asia Under Climate Change Using Deep Learning by Wei Shao, Chenchen Wu, Tianxiang Yue, Na Zhao, Yunfeng Hu

“…This study investigates the feasibility of utilizing deep learning (DL) models for forecasting future annual GPP based on historical data. …”
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A deep learning based automatic two-dimensional digital templating model for total knee arthroplasty by Jaeseok Park, Sung Eun Kim, Back Kim, Sanggyu Lee, Jae-Jun Lee, Du Hyun Ro

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Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury by Moa Pontén, Oskar Flygare, Martin Bellander, Moa Karemyr, Jannike Nilbrink, Clara Hellner, Olivia Ojala, Johan Bjureberg

“…Predicting who will benefit from treatment is an urgent and a critical first step towards personalized treatment approaches. Machine-learning algorithms have been proposed as techniques that might outperform clinicians’ judgment. …”
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Real‐Time Self‐Optimization of Quantum Dot Laser Emissions During Machine Learning‐Assisted Epitaxy by Chao Shen, Wenkang Zhan, Shujie Pan, Hongyue Hao, Ning Zhuo, Kaiyao Xin, Hui Cong, Chi Xu, Bo Xu, Tien Khee Ng, Siming Chen, Chunlai Xue, Zhanguo Wang, Chao Zhao

“…These results mark a significant step toward intelligent, low‐cost, and reproductive light emitters production.…”
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Advancing education in interventional psychiatry: scoping review of simulation training and the future of virtual reality-based learning by Peter Giacobbe, Peter Giacobbe, Peter Giacobbe, Alice Tu, Alice Tu, Lilia Kaustov, Lilia Kaustov, Stephen Choi, Stephen Choi, Stephen Choi, Julian Wiegelmann, Julian Wiegelmann, Fahad Alam, Fahad Alam

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Intelligent agriculture: deep learning in UAV-based remote sensing imagery for crop diseases and pests detection by Hongyan Zhu, Hongyan Zhu, Chengzhi Lin, Chengzhi Lin, Gengqi Liu, Gengqi Liu, Dani Wang, Dani Wang, Shuai Qin, Shuai Qin, Anjie Li, Anjie Li, Jun-Li Xu, Yong He

“…Additionally, some widely used traditional machine learning (ML) algorithms were presented and the performance results were tabulated to form a comparison. …”
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Medical students’ perception of assessment and its effects on their learning in Dubai: a convergent mixed methods study by Eman Khalaf, Farah Ennab, Farah Otaki, Farah Otaki, Shaista Salman Guraya, Fatemeh Amir-Rad, Fatemeh Amir-Rad, Erum Khan, Ritu Lakhtakia

“…As for the qualitative data, it was collected through a series of focus group sessions aimed at exploring students’ perception of assessment and its impact on their learning. The corresponding analysis was inductive, following the six-step approach introduced by Braun and Clarke. …”
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Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework by Hengrui Zhao, Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang, Weiguo Lu, Steve Jiang, Dan Nguyen

“…Introduction: Auto-segmentation of tumor volumes and organs at risk (OARs) is a critical step in cancer radiotherapy treatment planning, where rapid, precise adjustments to treatment plans are required to match the patient anatomy. …”
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Analysis of Students Satisfaction with Virtual Education in Medical Science University during the Pandemic Outbreak of COVID-19 by Freshteh Osmani

“…Satisfaction towards virtual educational learning plus total evaluation scores for various dimension of questionnaire was analyzed. …”
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Deteksi Covid-19 pada Citra Sinar-X Dada Menggunakan Deep Learning yang Efisien by Novanto Yudistira, Agus Wahyu Widodo, Bayu Rahayudi

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Ensuring universal access to quality care for persons with presumed tuberculosis reaching the private sector: lessons from Kerala by P. S. Rakesh, Mohd Shannawaz

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Approaches used to prevent and reduce the use of restrictive practices on adults with learning disabilities: a realist review by Joy Duxbury, Alina Haines-Delmont, John Baker, Peter Baker, Gary Bourlet, Elaine Craig, James Ridley, Rachel Whyte, Beth Morrison, Michaela Thomson, Anthony Tsang, Tella Lantta

“…Background There is some evidence to support approaches to reduce restrictive practices in settings for people with a learning disability who may also have a diagnosis of autism or mental health problems. …”
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Digital Literacy Practices in Language Pedagogy: Blended Learning/Flipped Classroom on English Language Teaching in Indonesia by Fauris Zuhri, Slamet Setiawan, Syafi'ul Anam

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Mopidip: a modular real-time pipeline for machinery diagnosis and prognosis based on deep learning algorithms by Mattia Pujatti, Davide Calzà, Andrea Gobbi, Piergiorgio Svaizer, Marco Cristoforetti

“…The tool integrates the data acquisition and processing steps with a configurable feature extraction phase. …”
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Place-based Educational Development: What Center for Teaching and Learning Spaces Look Like (and Why That Matters) by Brian Smentkowski, Karen Huxtable-Jester, Laura Cruz, Martin Springborg

“…We gathered visual, empirical, and qualitative data to take the first steps towards developing a shared vision of not only of our physical spaces, but also as a jumping off point for further analysis of the CTL as a meaningful place.…”
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AMRLearn: Protocol for a machine learning pipeline for characterization of antimicrobial resistance determinants in microbial genomic data by Xi Zhang, Yining Hu, Zhenyu Cheng, John M. Archibald

“…We describe the steps needed for input data preparation, prediction model selection, and result visualization. …”
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A comprehensive methodology for curriculum development, training delivery and certification using learning outcomes and digital badges by Nadia Catenazzi, Lorenzo Sommaruga, Kylene De Angelis, Sara Caboni

“…This paper proposes a comprehensive methodology to implement learning outcomes-based training and assessment, starting with the course planning, followed by the training delivery, and ending with the assessment and recognition of the achieved learning outcomes with the release of digital badges. …”
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Qualitative and Quantitative Analysis of Volatile Molecular Biomarkers in Breath Using THz-IR Spectroscopy and Machine Learning by Akim Tretyakov, Denis Vrazhnov, Alexander Shkurinov, Viacheslav Zasedatel, Yury Kistenev

“…Also, the steps additional to the standard machine learning pipeline and important for medical decision support are discussed.…”
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Effects of applying the BOPPPS-based collaborative online international learning model in a summer online course by Cheng Tung Chong, Haoyu Zhang, Liang Guo, Yihong Qiu, Agustin Valera-Medina, Jo-Han Ng

“…BOPPPS refers to six steps in lesson planning: Bridge, Objective, Pre-assessment, Participatory learning, Post-assessment, and Summary. …”
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MODEL PEMBELAJARAN PROBLEM BASED LEARNING DAPAT MENINGKATKAN HASIL BELAJAR SUBTEMA KEBERAGAMAN BUDAYA BANGSAKU by ObajaDwi Handoko

“… This study has a purpose to describe the steps of using Problem Based Learning model, in improving learning outcomes Subtheme Curtural Diversity in My Country. …”
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