Language Learning Shifts and Attitudes Towards Language Learning in an Online Tandem Program for Beginner Writers by Constanza Tolosa, Claudia Lucía Ordóñez, Diana Carolina Guevara

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Assessing the reliability and educational value of YouTube videos on computer-controlled local anesthesia in dentistry. by Hulya Cerci Akcay, Erdal Cem Kargu, Nefise Seker

“…<h4>Objective</h4>This study aimed to assess the scientific accuracy, content quality, and educational value of YouTube™ videos related to computer-controlled local anesthesia (CCLA) techniques in dentistry.…”
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Assessing last month's stress levels with an automated facial behavior scan by Marnix Naber, Sterre I.M. Houben, Anne-Marie Brouwer

“…To assess stress objectively and conveniently, we developed an automated model that detects biomarkers in webcam-recorded facial behavior indicative of heightened stress levels, using computer vision, artificial intelligence, and machine learning techniques. …”
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Analyzing Fairness of Computer Vision and Natural Language Processing Models by Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb

“…The study focuses on assessing and mitigating biases for unstructured datasets using Computer Vision (CV) and Natural Language Processing (NLP) models. …”
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Graph Learning-Based Power System Health Assessment Model by Koji Yamashita, Nanpeng Yu, Evangelos Farantatos, Lin Zhu

“…Achieving higher accuracy in grid health level prediction often requires time-consuming simulation and analysis. To improve computational efficiency, this paper develops machine learning models with phasor measurement unit (PMU) data to monitor the power system health index, focusing on rotor angle stability and frequency stability. …”
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Study of machine learning techniques for outcome assessment of leptospirosis patients by Andreia Ferreira da Silva, Karla Figueiredo, Igor W. S. Falcão, Fernando A. R. Costa, Marcos César da Rocha Seruffo, Carla Cristina Guimarães de Moraes

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Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach by Przemysław Sekuła, Narjes Shayesteh, Qinglian He, Sara Zahedian, Rodrigo Moscoso, Michał Cholewa

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Physics-informed deep generative learning for quantitative assessment of the retina by Emmeline E. Brown, Andrew A. Guy, Natalie A. Holroyd, Paul W. Sweeney, Lucie Gourmet, Hannah Coleman, Claire Walsh, Athina E. Markaki, Rebecca Shipley, Ranjan Rajendram, Simon Walker-Samuel

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Application of machine learning to stress corrosion cracking risk assessment by Aeshah H. Alamri

“…With the advancement of digital technology and the fourth industrial revolution called Industrial Internet of Things (IIOT), coupled with the availability of computing power and data, advanced analytical tools like artificial intelligence and machine learning bring powerful algorithms for performing advanced corrosion risk assessment. …”
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Machine learning enabled assessment of the vacuum freeze-drying of the kiwifruit by Uzair Sajjad, Farzana Bibi, Imtiyaz Hussain, Naseem Abbas, Muhammad Sultan, Hafiz Muhammad Asfahan, Muhammad Aleem, Wei-Mon Yan

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High throughput computational screening and interpretable machine learning for iodine capture of metal-organic frameworks by Haoyi Tan, Yukun Teng, Guangcun Shan

“…In this study, high-throughput computational screening and machine learning were combined to reveal the iodine capture performance of 1816 metal-organic framework (MOF) materials under humid air conditions. …”
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Impact of Deep Learning-Based Image Reconstruction on Tumor Visibility and Diagnostic Confidence in Computed Tomography by Marie Bertl, Friedrich-Georg Hahne, Stephanie Gräger, Andreas Heinrich

“…Deep learning image reconstruction (DLIR) has shown potential to enhance computed tomography (CT) image quality, but its impact on tumor visibility and adoption among radiologists with varying experience levels remains unclear. …”
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Machine Learning Applications for Physical Activity and Behaviour in Early Childhood: A Systematic Review by Markel Rico-González, Carlos D. Gómez-Carmona

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Enhancing Radiomics Reproducibility: Deep Learning-Based Harmonization of Abdominal Computed Tomography (CT) Images by Seul Bi Lee, Youngtaek Hong, Yeon Jin Cho, Dawun Jeong, Jina Lee, Jae Won Choi, Jae Yeon Hwang, Seunghyun Lee, Young Hun Choi, Jung-Eun Cheon

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Machine learning Techniques for Spondylolisthesis Diagnosis: a review by Rahma Rabee Aziz, Mohammed S. Jarjees, Mohammad R. Aziz, Ali Asim Hameed

“…Machine learning techniques and deep learning models, including convolutional neural networks (CNNs), are utilized to accurately detect and assess spondylolisthesis. …”
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Assessing Sleep Quality Using Mobile EMAs: Opportunities, Practical Consideration, and Challenges by Jiyoun Lim, Chi Yoon Jeong, Jeong Muk Lim, Seungeun Chung, Gague Kim, Kyoung Ju Noh, Hyuntae Jeong

Subjects: “…ecological momentary assessments…”
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Assessing reading fluency in elementary grades: A machine learning approach by Gabriel Candido da Silva, Rodrigo Lins Rodrigues, Américo N. Amorim, Lieny Jeon, Emilia X.S. Albuquerque, Vanessa C. Silva, Vinícius F. da Silva, André L.A. Pinheiro, João P.J.R. Nunes, Suzana X.M.G. de Souza, Maxsuel S. Silva, Igor Mauro, Alexandre Magno Andrade Maciel

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Comunicazione Digitale XR: Assessing the impact of extended reality technologies on learning by Daniele Zolezzi, Saverio Iacono, Luca Martini, Gianni Viardo Vercelli

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Visualising and evaluating learning/achievement consistency in introductory statistics by Taryn Axelsen, Rachel King, Elizabeth Curtis

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A Case Study of Computational Thinking Analysis Using SOLO Taxonomy in Scientific–Mathematical Learning by Alejandro De la Hoz Serrano, Andrés Álvarez-Murillo, Eladio José Fernández Torrado, Miguel Ángel González Maestre, Lina Viviana Melo Niño

“…The SOLO taxonomy is presented as a proper tool for learning assessment since it allows for a more detailed understanding of the quality of students’ learning. …”
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