Machine learning for assessing the pretest probability of obstructive and non-obstructive coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

“…The review presents an analysis of publications on use of machine learning (ML) to assess the pretest probability of obstructive and non-obstructive coronary artery disease (CAD). …”
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SEL Insights: Applying behavioral insights to social and emotional learning programs in global settings by Natasha Raisch, Rebecca Bailey, Stephanie M. Jones

“…Research suggests that strong implementation across various dimensions, such as fidelity and dosage, contributes to the effectiveness of social and emotional learning (SEL) programs. Nevertheless, those who implement SEL programs are often faced with a variety of implementation barriers, especially as they relate to program characteristics or fit. …”
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Comparative Analysis of Distance Learning Systems in the United Arab Emirates and the United States of America by Oleksii Nalyvaiko, Albina Khomenko, Daria Vereshchak, Danilo Poliakov

“…The theoretical framework of the study presents the leading experience of implementing distance learning of students in the context of state and educational policy of the represented countries. …”
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Intact Acquisition and Short-Term Retention of Non-Motor Procedural Learning in Parkinson's Disease. by Muriel T N Panouillères, George K Tofaris, Peter Brown, Ned Jenkinson

“…The aim of the present study was then to investigate acquisition and retention in the immediate short term of cognitive procedural learning using the mirror-reading task in people with PD. …”
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Key Dissemination Learnings from an Innovative, Value-Based Emergency Department Prevention Program by Rohie Marshall

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Collecting and Analyzing IBD Clinical Data for Machine-Learning: Insights from an Italian Cohort by Aldo Marzullo, Victor Savevski, Maddalena Menini, Alessandro Schilirò, Gianluca Franchellucci, Arianna Dal Buono, Cristina Bezzio, Roberto Gabbiadini, Cesare Hassan, Alessandro Repici, Alessandro Armuzzi

“…Research of Inflammatory Bowel Disease (IBD) involves integrating diverse and heterogeneous data sources, from clinical records to imaging and laboratory results, which presents significant challenges in data harmonization and exploration. …”
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Hyperspectral imaging and deep learning for parasite detection in white fish under industrial conditions by Shaheen Syed, Samuel Ortega, Kathryn E. Anderssen, Heidi A. Nilsen, Karsten Heia

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N V.V. THE METHOD OF ESTIMATION OF THE ECOSYSTEMS STABILITY LEVEL BY USE OF AUTOMATIC LEARNING by V. N. Exzaryan, Rukavitsi

“…The article also presents a constructed model of ecosystems stability in Russia. …”
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Using best practices in designing a lifelong learning strategy for human resources in Romania by Dorel Mihai Paraschiv, Radu Stoika

“…In this respect, we think that the present theme is sufficiently anchored in the realities of our contemporary society on the one hand and on the other hand requires to identify the concrete measures that could be put in place in order to improve the issues presented.…”
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Sustainable Parking Space Management Using Machine Learning and Swarm Theory—The SPARK System by Artur Janowski, Mustafa Hüsrevoğlu, Malgorzata Renigier-Bilozor

“…The accuracy of detecting available parking spaces in the presented system, estimated at 87.33%, is satisfactory compared to similar studies worldwide.…”
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Practicing the Concept of Ubiquitous Learning: Constructing an Online Music Course on an International Education Platform by Shan-Ken Chien, Yu-Chi Chou

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Learning the Ageing Behaviour of Lithium-Ion Batteries Using Electric Vehicle Fleet Analysis by Thomas Lehmann, Erik Berendes, Richard Kratzing, Gautam Sethia

“…This article presents the results of the Febal project, where the aim was to parametrize a stress-factor-based ageing model for Lithium-ion batteries using operation data of an electric fleet. …”
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Enhancing Malware Detection via RGB Assembly Visualization and Hybrid Deep Learning Models by Esra Eroğlu Demirkan, Murat Aydos

“…This research introduces a novel image-based malware classification framework that uses hybrid-model Convolutional Neural Networks to process RGB images generated from assembly code. We present MalevisAsm, an enriched dataset that merges MaleVis malware samples with benign files, and propose a hybrid deep learning model that combines EfficientNetB0 and DenseNet121 for robust feature extraction. …”
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Problem-based learning on cell biology and ecophysiology using integrated laboratory and computational activities by C. Sousa

“…We observed that high school students developed adequate laboratory skills and were able to communicate their results as text and using scientific drawings; and the learning environment was adequate. Therefore we presented a successful implementation case of integrated PBL, in a public portuguese school, that may constitute an example to facilitate the implementation of active inquiry strategies by other teachers, as well as the basis for future research.…”
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A Deep Learning Approach to Goal-Based Portfolio Optimization in Non-Stationary Environments by Tessa Bauman, Lovre Mrcela, Sven Goluza, Zvonko Kostanjcar

“…In reality, market dynamics are often non-stationary, posing challenges to traditional methods. In this paper, we present a deep reinforcement learning framework that adapts to evolving market conditions, enabling more robust investment strategies. …”
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Influence of Explanatory Variable Distributions on the Behavior of the Impurity Measures Used in Classification Tree Learning by Krzysztof Gajowniczek, Marcin Dudziński

“…The remaining graphs present distinct impurity measures with different parameters. …”
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Predicting ablation-assisted nanosecond laser fabrication of glass optical diffusers by machine learning by Ryoma Kawaoto, Tomotaro Namba, Yukiyoshi Ohtsuki, Feng Yan, Takashi Nakajima

“…We apply a machine learning (ML) approach to predict the properties of glass optical diffusers fabricated by ablation-assisted nanosecond laser machining. …”
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A Deep‐Learning Based Parameter Inversion Framework for Large‐Scale Groundwater Models by Amanda Triplett, Andrew Bennett, Laura E. Condon, Peter Melchior, Reed M. Maxwell

“…Parametrizing computationally expensive models where extensive calibration is computationally infeasible is a long standing challenge in hydrogeology. Here we present a machine learning framework to address this challenge. …”
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Fostering Independent Learning of English Verb Tense, Aspect and Voice Forms at the Tertiary Level by Vineta Apse, Monta Farneste

“…Although students had studied English as a Foreign Language for almost ten years, they still could not distinguish between the use of the present and past tenses in the given context. One of the reasons for student problems was insufficient practice of independent learning. …”
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Enhancing Foreign Speakers’ Satisfaction in Learning Indonesian Language with a Gamified Multiplatform Approach by Rifqi Imaduddin Irfan, Yulyani Arifin

“…Integrating gamified elements into a Progressive Web App (PWA) presents an engaging alternative to traditional learning resources, which frequently fall short in terms of interactivity and accessibility. …”
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