Predicting sleep quality with digital biomarkers and artificial neural networks by Hyolim Lee, Minsung Cho, Sang Won Lee, Sang Won Lee, Sungkyu Park

“…Biometric data including HRV signals, daily step counts, and physiological indicators were collected alongside subjective questionnaire responses (PHQ-9, GAD-7, ISI, KNHANES, WHOQOL-BREF) and daily sleep logs. …”
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Soft actor-critic algorithm and improved GNN model in secure access control of disaggregated optical networks by Zhenqian Zhao, Yuhe Wang

“…By integrating entropy-guided multi-objective reinforcement learning, GESAC maps encoded network states to access control strategies, jointly optimizing for security, service quality, and system resilience. …”
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Unsupervised Classification for Circulating Tumor Cells by Ling An, Haibo Hu, Mengke Song, Lin Cheng, Shuo Ba, Zhaocong Liu, Zhuohang Yu, Zhenyu Zhang, Yi Liu, Chichun Zhou

“…It also enhances the efficiency of deep learning in medical diagnostics, particularly in CTC detection.…”
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Visual tracking of a moving target in 360-degree virtual reality: Analysis of the effects on attention and mood by T. Sellner, P. Ehmann, J. Spielmann, F. Gogolla, A. Rösgen, J. Mayer, M. A. Schoenfeld, M. A. Schoenfeld, H. Flor

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Making, not breaking the young, aspiring athlete: the development of Prep to be PRO (Nærmere Best) – a Norwegian school-based educational programme by Roald Bahr, Grethe Myklebust, Christine Holm Moseid, Hege Heiestad

“…Specific competence goals and learning objectives from the curriculum are addressed and linked to each individual module.Conclusions This educational programme appears to be a notable step forward in the Norwegian sports school’s approach. …”
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D2: An LLM agent driving end-to-end visual AI modeling in energy platforms by Yu Li, Qiaoqiao Zhao, Min Hou, Quansheng Bai, Xiyan Zou, Changle Xie, Chang Shu, Boyang Ma, Zhijin Li

“…X-AI integrates advanced Machine Learning (ML) and Deep Learning (DL) capabilities into a workflow-driven environment that enables energy engineers to construct and deploy predictive models without prior AI expertise. …”
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Novel insights from comprehensive analysis: The role of cuproptosis and peripheral immune infiltration in Alzheimer's disease. by Jing Wang, Zi-Wen Yu, Qi Liu, Jing-Xun Wu, Yi-Dan Zhang, Hui-Juan Wan, Min Bi, Nai-An Xiao, Kun-Mu Zheng, Bin Jiang

“…<h4>Methods</h4>Our first step was to obtain gene expression data from the GEO database and identify differentially expressed cuproptosis-associated genes (DECAGs) in AD. …”
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Vocal biomarkers correlate with FEV1 variations during methacholine challenge by Giovanni Paoletti, Giovanni Costanzo, Morena Merigo, Francesca Puggioni, Sebastian Ferri, Maria Rita Messina, Fulvio Cordella, Giuseppe Ranieri, Arianna Arienzo, Victor Savevski, Giorgio Walter Canonica, Ayana deBrito Martins, Enrico Heffler

“…Our study aimed to investigate the feasibility of applying signal‐processing and machine‐learning technologies to detect alterations in the lower airway caliber and develop a machine‐learning algorithm to identify changes in vocal biomarkers and detect bronchoconstriction in patients with airway hyperreactivity. …”
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Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification by Chia Yan Tan, Huey Fang Ong, Chern Hong Lim, Mei Sze Tan, Ean Hin Ooi, KokSheik Wong

“…The findings of this study represent a crucial step forward in advancing the effective integration of multi-omics data and prior knowledge to improve cancer subtype classification.…”
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Automatic 3D Reconstruction: Mesh Extraction Based on Gaussian Splatting from Romanesque–Mudéjar Churches by Nelson Montas-Laracuente, Emilio Delgado Martos, Carlos Pesqueira-Calvo, Giovanni Intra Sidola, Ana Maitín, Alberto Nogales, Álvaro José García-Tejedor

“…It reviews recent advancements in machine learning and deep learning—particularly neural radiance fields (NeRFs) and its successor, Gaussian splatting (GS)—as state-of-the-art techniques in the domain. …”
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Evaluation of Neural Networks for Improved Computational Cost in Carbon Nanotubes Geometric Optimization by Luis Josimar Vences-Reynoso, Daniel Villanueva-Vasquez, Roberto Alejo-Eleuterio, Federico Del Razo-López, Sonia Mireya Martínez-Gallegos, Everardo Efrén Granda-Gutiérrez

“…Geometric optimization of carbon nanotubes (CNTs) is a fundamental step in computational simulations, enabling precise studies of their properties for various applications. …”
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The Eyes: A Source of Information for Detecting Deepfakes by Elisabeth Tchaptchet, Elie Fute Tagne, Jaime Acosta, Danda B. Rawat, Charles Kamhoua

“…Currently, the phenomenon of deepfakes is becoming increasingly significant, as they enable the creation of extremely realistic images capable of deceiving anyone thanks to deep learning tools based on generative adversarial networks (GANs). …”
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TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables) by QI Junyan, CHE Yuhao, WANG Lei, YUAN Ruifu

“…In the problem of anchor bolt (cable) stress prediction in coal mine roadways, model training often involves complex optimization tasks such as hyperparameter tuning and learning rate selection. To improve the training efficiency and prediction accuracy of the model, ISMA was proposed, which enhanced local search capability by introducing neighborhood search and a dynamic step-size factor. …”
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Blink Detection Using 3D Convolutional Neural Architectures and Analysis of Accumulated Frame Predictions by George Nousias, Konstantinos K. Delibasis, Georgios Labiris

“…The first step is the training and application of an eye detector that extracts the eye regions from each video frame. …”
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Visualizing climate targets: mapping the 93 funded E.U. Erasmus+ projects versus SDGs and horizon missions targets<subtitle>The case of the Knowledge Alliances program versus SDG13... by Mennatullah Hendawy

“…After indexing the projects, a three-step system for analysis was adopted. First, a content analysis of the description written about each project in the advertised booklet. …”
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Representation Enhancement-Based Proximal Policy Optimization for UAV Path Planning and Obstacle Avoidance by Xiangxiang Huang, Wei Wang, Zhaokang Ji, Bin Cheng

“…Currently, reinforcement learning (RL) has become increasingly popular in UAV decision-making. …”
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Storm‐Time Characteristics of Ionospheric Model (MSAP) Based on Multi‐Algorithm Fusion by Zhou Chen, Kang Wang, Haimeng Li, Wenti Liao, Rongxin Tang, Jing‐song Wang, Xiaohua Deng

“…Accurate ionospheric total electron content (TEC) prediction is vital for accurately describing the short‐wave radio environment of the ionosphere. We use the Multi‐Step Auxiliary Prediction (MSAP) model, a deep learning algorithm, to forecast TEC during geomagnetic storms. …”
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Risk management strategy for generative AI in computing education: how to handle the strengths, weaknesses, opportunities, and threats? by Niklas Humble

“…The study applied a scoping literature review approach with a three-step process for identifying and including a total of 129 relevant research papers, published in 2023 and 2024, through the Web of Science and Scopus databases. …”
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What are the influential factors for emotional regulation? A latent profile analysis based on PISA 2022 Taiwan data by Edward Hung Cheng Su, Chia Hsin Chen

“…Second, it aimed to investigate the influence of students’ background variables on these latent classes of the emotional regulation through three-step ML method. The key finding of the study are as follows: (1) There was a significant decline in emotional regulation when transitioning between learning stages. (2) Gender was the most significant factor influencing the latent classes of emotional regulation among the students’ backgrounds. (3) Limited effects of ESCS on emotional regulation were found in adolescents. …”
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The Role Of Pre-teacher Training Sessions In Enhancing Novice Teachers’ Qualifications (from Theory To Practice) by Anfal Khadidja Dekhil, Hanane Sarnou

“… Pre-teacher training is a preparation for teaching that paves the way for novice teachers and opens the door to learn and know the vital skills and ideas to teach successfully. …”
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