Machine learning in predicting immediate and long-term outcomes of myocardial revascularization: a systematic review by B. I. Geltser, V. Yu. Rublev, M. M. Tsivanyuk, K. I. Shakhgeldyan

“…Machine learning (ML) is among the main tools of artificial intelligence and are increasingly used in population and clinical cardiology to stratify cardiovascular risk. …”
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Learnings from the 2024 Utah Cardiac Recovery Symposium: A Roadmap for the Field of Myocardial Recovery by Muthu Kumar Krishnamoorthi, Konstantinos Sideris, Arvind Bhimaraj, Stavros G. Drakos

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RETRACTED: Machine Learning and Artificial Intelligence for Advanced Materials Processing: A review on opportunities and challenges by Srivastava Shashank, Kumar Indradeep, Kumar Manish, Shakier Hussein Ghafel, B Swathi, Chahuan Neeraj

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Machine Learning Identifies a Parsimonious Differential Equation for Myricetin Degradation from Scarce Data by Andrew Fulkerson, Ipek Bayram, Eric A. Decker, Carlos Parra-Escudero, Jiakai Lu, Carlos M. Corvalan

“…Accurately modeling the degradation of food antioxidants in oils is essential for understanding oxidative stability and improving food shelf life. This study presents an innovative machine learning approach integrating neural differential equations and sparse symbolic regression to derive a parsimonious differential equation for myricetin degradation in stripped soybean oil. …”
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Promoting engagement in online learning beyond COVID‐19: Possible strategies and directions for future research by Khe Foon Hew, Weijiao Huang

“…Next, we present three possible strategies to address these challenges: promoting active learning through the online flipped classroom model, promoting self‐regulation skills and reducing the sense of isolation through the use of chatbots. …”
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More-Than-Human-Centered-Design and Self-Narration as Catalysts for fostering Sustainable Learning Ecosystems by Eugenia Rosina, Francesca Mattioli

“… This paper presents an exploratory study on approaches to the designer’s self-narration from a more-than-human-centered perspective. …”
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Sepsis therapies: learning from 30 years of failure of translational research to propose new leads by Jean‐Marc Cavaillon, Mervyn Singer, Tomasz Skirecki

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Project-Based Learning in Initial Teacher Education: The Practice of Three Higher Education Institutions in Portugal by Tiago Tempera, Luís Tinoca

“…Such strategies contrast with the type of methods that they experienced throughout their own schooling, which are essentially teacher centred. The present research aims to understand how Project-Based Learning is being integrated into the curriculum of primary school teachers’ initial teacher education programmes. …”
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From Crisis to Resilience: Pandemic Perspectives on College Student Experiences, Motivation and Self-Regulated Learning by Diana Botnaru, Anna Brady, Dragos Amarie, April Garrity, Erica Hillsnipe, Caroline Hopkinson, Cynthia Lynes, Eryn Maher

“…The short-term effects during the transition to emergency remote teaching at the onset of the COVID-19 pandemic on college students are well-studied. The present study investigated the ongoing impact of the COVID-19 pandemic on students enrolled in undergraduate classes (e.g., pandemic experiences and their impact on basic psychological needs, metacognitive learning strategies, and motivation regulation). …”
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Thymoquinone reverses learning and memory impairments and brain tissue oxidative damage in hypothyroid juvenile rats by Yousef Baghcheghi, Mahmoud Hosseini, Farimah Beheshti, Hossein Salmani, Akbar Anaeigoudari

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Aprender haciendo: paideia y phronesis en Aristóteles = Learning by doing: paideia and phronesis in Aristóteles by Marcos, Alfredo

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A Case Study of Furunculosis following an Ayurvedic Oil Massage, Sudation Therapy, and Lessons to Learn by Satyajit Pandurang Kulkarni, Pallavi Satyajit Kulkarni, S. Kumar

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Data science and automation in the process of theorizing: Machine learning's power of induction in the co-duction cycle. by Daan Kolkman, Gwendolyn K Lee, Arjen van Witteloostuijn

“…We present a systematic five-step theory-building and theory-testing cycle that consists of: 1. …”
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Motivation in foreign language learning: a look at type of school environment as a contextual variable by Višnja Pavičić Takač, Nives Berka

“…The studies have been rooted in different theories and methodologies, (most notably those advanced by Gardner and Dörnyei and their respective associates) that have given precedence to a number of variables assume to play an important role in understanding the phenomenon of FLL motivation. The present study is set between the macroperspective of the social-psychological period–by giving a general view of second language motivation–and the situation-specific period–by taking into consideration the immediate learning context. …”
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From online learning to in-person teaching internship: Lived experiences of pre-service education students by James Liven Amoro, Ma. Kristel Amoro, Gino Sumalinog

“…The teaching internship program presents challenges and opportunities for teaching interns that contribute to their personal and professional growth, thereby facilitating adaptive teaching strategies that promote student engagement and learning. …”
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Application of deep learning methods for online beam optics and coupling feedback in synchrotron light sources by Liyuan Tan, Shouzhi Xuan, Yihao Gong, Xinzhong Liu, Xu Wu, Shunqiang Tian, Wenzhi Zhang

“…This paper presents a beam optics and coupling feedback system for storage rings during operation, integrating deep learning methods with turn-by-turn (TBT) beam position monitor data. …”
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Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights by Kamal Taha

“…We present both empirical and experimental assessments of diverse machine learning methodologies, providing a comprehensive examination of current techniques in big data analytics. …”
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Perceptions of Inquiry-based Learning in Higher Education: A Case Study from North Macedonia by Brikena Xhaferi, Jeta Hamzai, Gezim Xhaferi

“…Inquiry-based learning (IBL) is a learner-centred approach based on using students' questions to facilitate learning. …”
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Examining the Impact of Self-concept on Adolescents’ Self-regulated Learning: A Predictive Modeling Approach by Patricia Ayllón-Salas, José L. Arco-Tirado, Francisco D. Fernández-Martín

“…The aim of the present study was to explore the relationship between self-concept and self-regulated learning in secondary education students. …”
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Analysis of cognition structure of student’s having emotional, behavioral and learning difficulties: aspect of international experience by Liuda Radzevičienė, Lina Miliūnienė, Aistė Batūraitė, Evert-Jan Hoogerwerf, Adam Charvatis, Michael Bader, Thomas Oliv, Petya Grudeva

“… Article present international research on cognition, situation analysis of pupil who has emotional, behavioral and learning difficulties, that leads to early school drops. …”
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