Integrating a quality improvement experiential platform into medical student education by Amy S. Stanley, René M. Kronlage, Miranda J. Reid, Hannah G. Rains, Colleen J. Kalynych, Michele N. Lossius, Janice A. Taylor, Carolyn K. Holland

“…The project established a peer-taught hands-on learning platform in a student-run clinic allowing participants to learn and apply QI/PS concepts and tools in a real-world clinic environment. …”
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Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach by Mohamed Khalid AlOmar, Mohammed Majeed Hameed, Nadhir Al-Ansari, Mohammed Abdulhakim AlSaadi

“…Herein, two machine learning approaches called support vector regression (SVR) and extreme learning machine (ELM) have been applied to predict the saturated TDG% at USGS 14150000 and USGS 14181500 stations which are located in the USA. …”
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New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret by T. Netzel, A. Miebach, T. Litt, A. Hense

“…This includes consideration of various machine learning (ML) algorithms for solving the classification problem of biome presence and absence, taking into account uncertainties in the proxy–climate relationship. …”
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Integrating social narratives of flood events into a text network analysis-based decision support framework to reduce vulnerability to climate change in Africa by Thomas E. O’Shea, Lena C. Grobusch, Mary Zhang, Jeff Neal, Joseph Daron, Richard G. Jones, Christopher Jack, Alice McClure, Gilbert Siame, Dorothy Ndhlovu, Sukaina Bharwani

“…Local flood inundation maps were created using global rainfall and GIS datasets and then analysed across two interactive “Learning Labs” with local stakeholders. Historical observations and lived experiences were distilled from the learning labs into three community-based social narratives of flood risk. …”
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Utilizing vaginal natural orifice to facilitate bowel manipulation during totally intracorporeal ileal conduit construction: a retrospective cohort study by Kaipeng Jia, Shiwang Huang, Zhun Wang, Yuda Lin, Yiduo Bai, Chong Shen, Zhe Zhang, Zhouliang Wu, Yunkai Qie, Hailong Hu

“…Patients in the MICUD group had shorter total operative time, lower postoperative pain scores, quicker recovery, and shorter hospital stays. The learning curve of the MICUD showed two phases: a learning phase (cases 1-7) and a proficiency phase (cases 8-21). …”
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Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study by Olivia L. Finnegan, R. Glenn Weaver, Hongpeng Yang, James W. White, Srihari Nelakuditi, Zifei Zhong, Rahul Ghosal, Yan Tong, Aliye B. Cepni, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, Bridget Armstrong

“…This study examined the preliminary accuracy of machine learning models trained on iPad sensor data to identify the unique user of the device in a sample of children ages 6 to 11. …”
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Predicting the exposure of mycophenolic acid in children with autoimmune diseases using a limited sampling strategy: A retrospective study by Ping Zheng, Ting Pan, Ya Gao, Juan Chen, Liren Li, Yan Chen, Dandan Fang, Xuechun Li, Fei Gao, Yilei Li

“…This study aims to use machine learning and deep learning algorithms to develop a prediction model of MPA exposure for pediatric autoimmune diseases with optimizing sampling frequency. …”
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A Structurally Flexible Occupancy Network for 3-D Target Reconstruction Using 2-D SAR Images by Lingjuan Yu, Jianlong Liu, Miaomiao Liang, Xiangchun Yu, Xiaochun Xie, Hui Bi, Wen Hong

“…Driven by deep learning, three-dimensional (3-D) target reconstruction from two-dimensional (2-D) synthetic aperture radar (SAR) images has been developed. …”
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Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019 by Gamal AbdElNasser Allam Abouzied, Guoqiang Tang, Simon Michael Papalexiou, Martyn P. Clark, Eleonora Aruffo, Piero Di Carlo

“…However, the machine learning strategy using random forest (ML3) has the most outstanding share in the final estimates among all other strategies. …”
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Environmental exposures related to gut microbiota among children with asthma: a pioneer study in Taiwan by Aji Kusumaning Asri, Tsunglin Liu, Hui-Ju Tsai, Jiu-Yao Wang, Chih-Da Wu

“…Air pollution was estimated using an ensemble learning model that combined regression and machine-learning algorithms, while greenspace was quantified using the normalized difference vegetation index (NDVI) and green land-cover data. …”
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Peningkatan Akurasi Klasifikasi Algoritma C 4.5 Menggunakan Teknik Bagging pada Diagnosis Penyakit Jantung by Erwin Prasetyo, Budi Prasetiyo

“…Data penyakit jantung diambil dari dataset UCI Machine Learning Repository. Tujuan dari penulis melakukan penelitian ini yaitu untuk mengetahui penerapan teknik bagging pada algoritma C4.5, mengetahui hasil akurasi dalam algoritma C4.5, dan membandingkan tingkat akurasi dari penerapan teknik bagging pada algoritma C4.5. …”
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Intelligent physiological signal infosecurity: Case study in photoplethysmography (PPG) signal by Chia‐Hung Lin, Jian‐Xing Wu, Neng‐Sheng Pai, Pi‐Yun Chen, Chien‐Ming Li, Ching Chou Pai

“…In addition, the performance of RBFN‐based method is superior in adaptive learning capability than that of the traditional learning method in real‐time applications. …”
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The role of continuous monitoring in acute-care settings for predicting all-cause 30-day hospital readmission: A pilot study by Michael Joseph Pettinati, Kyriakos Vattis, Henry Mitchell, Nicole Alexis Rosario, David Michael Levine, Nandakumar Selvaraj

“…The influence of different data sources, including remotely monitored continuous vital signs and activity, on machine learning (ML) models’ performances is examined for predicting all-cause unplanned 30-day readmission. …”
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Gestational weight gain patterns as predictors of cesarean deliveries in women diagnosed with gestational diabetes mellitus by Tzu-Ling Chen, Su-Fen Cheng, Chien-Lin Kuo, Chu-Yu Huang, Chia-Hsun Wu

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Supraglacial Lake Depth Retrieval from ICESat-2 and Multispectral Imagery Datasets by Quan Zhou, Qi Liang, Wanxin Xiao, Teng Li, Lei Zheng, Xiao Cheng

“…In this study, we present a machine learning-based method for estimating the depth of supraglacial lakes through the combination of ICESat-2 ATL03 data with multispectral imagery. …”
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Stroke Induces a BDNF-Dependent Improvement in Cognitive Flexibility in Aged Mice by Josh Houlton, Lisa Y. Y. Zhou, Deanna Barwick, Emma K. Gowing, Andrew N. Clarkson

“…In contrast, stroke to aged mice facilitated a significant improvement in reversal learning, which was dampened in the presence of the BDNF decoy, TrkB-Fc. …”
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Revisiting teacher educators' training in Ethiopia: Implications for a new approach to curriculum development by Haftu Hindeya Gebremeskel, Ahmed Yibrie Ahmed, Dawit Asrat Getahun, Meskerem Lechissa Debele, Dawit Tibebu, Dereje Taye Wondem

“…Furthermore, traditional nature of content delivery, use of assessment merely for grading purposes, and deviation of assessment from the Minimum Learning Competencies (MLC) designated for the level are depicted as problems. …”
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IDENTIFIKASI PEMBEKALAN KETERAMPILAN ABAD 21 PADA ASPEK KETERAMPILAN PEMECAHAN MASALAH SISWA SMA KOTA BENGKULU DALAM MATA PELAJARAN FISIKA by Agung Jayadi, Desy Hanisa Putri, Henny Johan

“…The obtained results can be used as a need assessment for RND (Research and Development) research such as the development of learning media and development of learning modules. …”
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Patient safety culture through the lenses of surgical patients: a qualitative study by Magnhild Vikan, Arvid S. Haugen, Berit T. Valeberg, Ann K. Bjørnnes, Vigdis K. S. Husby, Ellen CT. Deilkås, Stein O. Danielsen

“…Abstract Background Patient engagement and learning from patients’ experiences may increase patient safety and reduce the occurrence of adverse events. …”
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Dual-stream disentangled model for microvascular extraction in five datasets from multiple OCTA instruments by Xiaoyang Hu, Xiaoyang Hu, Jinkui Hao, Quanyong Yi, Yitian Zhao, Jiong Zhang

“…Specifically, the D2Net includes a dual-stream encoder that separately learns image artifacts and latent vascular features. …”
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