Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

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Prediction of the cutting tool wear during dry hard turning of AISI D2 steel by using models based on Learning process and GA polyfit by Khaled Djellouli, Kamel Haddouche, Mostefa Belarbi, Zoubir Aich

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Pengaruh Model Project Based Learning terhadap Minat Belajar Fisika dan Kemampuan Berpikir Kritis Siswa SMA Negeri 1 Kota Bengkulu by Mika Dwi Permata, Irwan Koto, Indra Sakti

“…Kata kunci : Model project based learning, minat belajar fisika, kemampuan berpikir kritis siswa …”
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COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings by Mohd Zulfaezal Che Azemin, Radhiana Hassan, Mohd Izzuddin Mohd Tamrin, Mohd Adli Md Ali

“…The key component in deep learning research is the availability of training data sets. …”
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RETRACTED ARTICLE: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients by Xiliang Zhang, Hanjie Guo, Xiaolong Li, Wei Tao, Xiaoqing Ma, Yuxing Zhang, Weidong Xiao

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Fostering collaborative practice: a pilot study on interprofessional education through simulation-based team-oriented learning sessions among pharmacy and medical students by Shaimaa Khamis Mostafa, Rania H. Abdel-Rahman, Ahmed K. Mansour, Magda A. El-Sherbeny

“…This article presents a successful implementation of simulation-based team-oriented learning sessions among pharmacy and medical students at Delta University for Science and Technology in Egypt. …”
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Machine Learning and Multi-Omics Integration to Reveal Biomarkers and Microbial Community Assembly Differences in Abnormal Stacking Fermentation of Sauce-Flavor <i>Baijiu</i> by Shuai Li, Yueran Han, Ming Yan, Shuyi Qiu, Jun Lu

Subjects: “…machine learning…”
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Disease Stage-Associated Alterations in Learning and Memory through the Electroacupuncture Modulation of the Cortical Microglial M1/M2 Polarization in Mice with Alzheimer’s Disease by Long Li, Le Li, Jiayong Zhang, Sheng Huang, Weilin Liu, Zhifu Wang, Shengxiang Liang, Jing Tao, Lidian Chen

“…We propose that electroacupuncture at the Shenting and Baihui acupoints could regulate microglial polarization and decrease Aβ plaques to improve learning and memory in mild AD mice.…”
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Structural analysis of the impact of learning from errors and organizational failures on innovative performance with the mediation role of knowledge absorptive capacity (case study: cooperative companies) by Sara Mohammadi, Farajallah Rahimi, Eslam Fakher, Ilnaz Irani Behbahani

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EKSPLORASI JENIS BURUNG DI WANA WISATA GRAPE SEBAGAI BAHAN AJAR TAKSONOMI VERTEBRATA BERBASIS GREEN LEARNING METHOD (GeLeM) by Wachidatul Linda Yuhanna, Muh. Waskito Ardhi, Sigit Ari Prabowo

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Forecasting the Applied Deep Learning Tools in Enhancing Food Quality for Heart Related Diseases Effectively: A Study Using Structural Equation Model Analysis by Sunil L. Bangare, Deepali Virmani, Girija Rani Karetla, Pankaj Chaudhary, Harveen Kaur, Syed Nisar Hussain Bukhari, Shahajan Miah

“…The application of new technologies like machine learning, deep learning, and other models support doctors, nurses, and radiologists to predict heart disease effectively. …”
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Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for the coming decades by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…The present pioneering review provides a longitudinal perspective on the current state of academic research in the emerging machine learning field linked to sustainable animal production in times of climate change. …”
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Enhancing wellbeing among pre-service teachers through a mindfulness-based social and emotional learning curriculum: a quasi-experimental study in China by Yunpeng Wu, Liping Qin

Subjects: “…social and emotional learning…”
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Desain Media Pembelajaran dengan Model Problem-based Learning dan Gamitifikasi untuk Materi Bangun Ruang Tingkat SMK Berbasis Virtual Rality by Admi Rut Sinana, Herman Tolle, Fitra Abdurrachman Bachtiar

“…Problem-Based Learning is a problem solving learning model, this learning makes the problem the main issue. …”
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A Step Forward in Identifying Socially Desirable Respondents: An Integrated Machine Learning Model Considering T-Scores, Response Time, Kinematic Indicators, and Eye Movements by Cristina Mazza, Irene Ceccato, Loreta Cannito, Merylin Monaro, Eleonora Ricci, Emanuela Bartolini, Alessandra Cardinale, Adolfo Di Crosta, Matteo Cardaioli, Pasquale La Malva, Marco Colasanti, Renata Tambelli, Luciano Giromini, Rocco Palumbo, Riccardo Palumbo, Alberto Di Domenico, Paolo Roma

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Development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data: a protocol by Jiawen Deng, Hemang Yadav, Kiyan Heybati

“…Early identification of patients at risk for propofol-associated hypertriglyceridemia is crucial for optimising sedation strategies and preventing adverse outcomes. Machine-learning (ML) models offer a promising approach for predicting individualised patient risks of propofol-associated hypertriglyceridemia.Methods and analysis We propose the development of an ML model aimed at predicting the risk of propofol-associated hypertriglyceridemia in ICU patients receiving IMV. …”
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Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs by Shenghan Zhang, Yufeng Gu, Yinshan Gao, Xinxing Wang, Daoyong Zhang, Liming Zhou

“…Based on this knowledge, ensemble learning technique, partially developed for fitting problems, can be regarded as a solution. …”
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A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data by M. Atzeni, G. Cappon, J. K. Quint, F. Kelly, B. Barratt, M. Vettoretti

“…To address this, we designed a machine learning (ML) framework that leverages data from personal air quality monitors, health records, lifestyle, and living condition information to build models that perform short-term prediction of COPD exacerbations. …”
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Examining equity and graduation rates at two institutions using a course deficit model and the collaborative learning through active sense-making in physics curriculum by Cassandra A. Paul, David J. Webb

“…We have previously described the reformed introductory physics course, collaborative learning through active sense-making in physics (CLASP), for bioscience students at a large public research one university (Original University) and presented evidence that the course was more successful and more equitable than the course it replaced by several measures. …”
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Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning [version 1; peer review: awaiting peer review] by David Garrett Brown, Darwin J. Operario, Lan Wang, Shanrui Wu, Daniel T. Leung, Eric R. Houpt, James A. Platts-Mills, Jie Liu, Ben J. Brintz

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