STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG by Raquel Fernández-Martín, Alfonso Gijón, Odile Feys, Elodie Juvené, Alec Aeby, Charline Urbain, Xavier De Tiège, Vincent Wens

“…Still, the rise of deep learning (DL)—with its ability to reproduce human-like abilities—could revolutionize clinical MEG practice. …”
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Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique by Karim Gasmi, Najib Ben Aoun, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab

“…This model enhances the feature extraction step by capturing both global and local features, thanks to the combination of different deep learning models with the ViT model. …”
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Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment by Sangwook Kim, Min-Ah Kim, Bitgoeul Kim, Jisu Lee, Se-Kyung Jung, Jonghong Kim, Ho-Young Chung, Chung-Young Lee, Sungmoon Jeong

“…Particularly, Influenza A viruses from avian species pose significant zoonotic threats, with PB2 adaptation serving as a critical first step in cross-species transmission. A comprehensive risk assessment framework based on PB2 sequences is necessary, which should encompass detailed analyses of specific residues and mutations while maintaining sufficient generality for application to non-PB2 segments. …”
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Exploring the role of social media in mathematics learning: effects on self-efficacy, interest, and self-regulation by Ling Dai, Wu Jin, Biao Zhu, Rundong Liao, Guoxing Xu, Haozhe Jiang, Jia Guan

“…Data were collected through validated survey instruments that measured mathematics self-efficacy (MathSE), mathematics interest (MathI), and self-regulation in mathematics learning (SR). A two-step structural equation modeling (SEM) approach was used to analyze the relationships between MLSM and the three variables, examining both direct effects and mediation pathways. …”
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TEMPO: Timestep Explanations for Modeling Preferences in Online Preference-Based RL by Jakob Karlaus, Friedhelm Schwenker

“…This work introduces a more expressive preference-based learning framework that allows humans to provide step-level explanations alongside their preferences, indicating which specific timesteps influenced their decisions. …”
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Identification and validation of key biomarkers associated with immune and oxidative stress for preeclampsia by WGCNA and machine learning by Tiantian Yu, Tiantian Yu, Tiantian Yu, Guiying Wang, Guiying Wang, Guiying Wang, Xia Xu, Xia Xu, Xia Xu, Jianying Yan, Jianying Yan, Jianying Yan

“…This involved integrating WGCNA, GO and KEGG pathway analyses, constructing PPI networks, applying machine learning algorithms, performing gene GSEA, and conducting immune infiltration analysis to identify the key hub genes related to oxidative stress. …”
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A fully automated machine-learning-based workflow for radiation treatment planning in prostate cancer by Jan-Hendrik Bolten, David Neugebauer, Christoph Grott, Fabian Weykamp, Jonas Ristau, Stephan Mende, Elisabetta Sandrini, Eva Meixner, Victoria Navarro Aznar, Eric Tonndorf-Martini, Kai Schubert, Christiane Steidel, Lars Wessel, Jürgen Debus, Jakob Liermann

“…This represents a promising step towards efficient and standardized prostate cancer treatment. …”
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Machine learning and multi-omics analysis reveal key regulators of proneural–mesenchymal transition in glioblastoma by Can Xu, Jin Yang, Huan Xiong, Xiaoteng Cui, Yuhao Zhang, Mingjun Gao, Lei He, Qiuyue Fang, Changxi Han, Wei Liu, Yangyang Wang, Jin Zhang, Ying Yuan, Zhaomu Zeng, Ruxiang Xu

“…The TIDE algorithm was used to examine immunotherapy scores. The Lasso, Cox, and Step machine learning algorithms were used to construct and screen the optimal risk assessment prognostic model. …”
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EFEKTIVITAS MODEL PEMBELAJARAN SATUS PADA MATA PELAJARAN AKUNTANSI USAHA DAGANG by Ameliasari Tauresia Kesuma

“…<em><span>Teachers use SATUS learning model which includes observing, asking, trying, practicing and communicating with other people, all materials are made in steps so students can interpret and discuss the material of Trading Business Accounting. …”
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Impact of Terrorism on Students: A Case of Secondary School Students in District Bunirdents in District Bunir by Fazal Hayat, Shahji Ahmad, Samiullah Sarwar

“…The government is also recommended to take steps such as scholarship, abroad tours and financial assistance to increase the encouragement among the affected students. …”
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Penerapan Model Cooperative Script dalam Pembelajaran PKn untuk Meningkatkan Hasil Belajar Siswa Pada Konsep Bangga Sebagai Anak Indonesia by Ulwan Syafrudin, Darmawan Darmawan, Ita Rustiati Ridwan

“…The specific purpose of this study is to identify the steps and improve student learning outcomes through the Cooperative Script model in PKn learning. …”
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Decoupling Implantation Prediction and Embryo Ranking in Machine Learning: The Impact of Clinical Data and Discarded Embryos by Itay Erlich, Sotirios H. Saravelos, Cristina Hickman, Assaf Ben‐Meir, Iris Har‐Vardi, James A. Grifo, Semra Kahraman, Assaf Zaritsky

“…To overcome these limitations, conceptual and practical steps are proposed to enhance machine learning‐driven IVF solutions. …”
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Language Interaction Among EFL Primary Learners and Their Teacher Through Collaborative Task-Based Learning by Ingrid Rocío Suárez Ramírez, Sandra Milena Rodríguez

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Protocol for predicting single- and multiple-dose-dependent gene expression using deep generative learning by Derek E. Bowman, Vishal Panda, Daniel Marri, Omar Kana, Sudin Bhattacharya

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Strategy and Tactics for Introducing Generative Artificial Intelligence into the Instrumental Distance Learning System DL.GSU.BY by M. S. Dolinsky

“…GenAI implementation tactics consistently and in details describe practical steps to implement the strategy.…”
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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

“…To analyze the data, the seven steps of Colaizzi's method were used. After intensive analysis of the data, four themes emerged from this study: emotional and pedagogical challenges, support mechanisms, adaptive teaching, and personal and academic growth. …”
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Implementation of Character-Based Central Learning Program in Kindergarten al-Irsyad al-Islamiyyah Purwokerto by Novan Ardy Wiyani

“…This research is naturalistic qualitative research aimed at describing the implementation of character-based learning center programs in kindergarten al-Irsyad al-Islamiyyah Purwokerto. …”

Design of English Mobile Learning Platform Based on GSM-R Wireless Network Communication System by Xiaowei Liu, Hongjin Liu

“…Based on this module, the platform software is designed according to the three steps of database design, platform encryption technology, and learning recommendation algorithm to create the English mobile learning platform. …”
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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. by Tian Xia, Lanju Zhou, Khalil Ahmad

“…The research methodology consisted of the following steps: formulation of the problem, selection of data and labelling, construction of the model for prediction, installation, and testing. …”
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Indoor mmWave Radar Ghost Suppression: Trajectory-Guided Spatiotemporal Point Cloud Learning by Ruizhi Liu, Zhenhang Qin, Xinghui Song, Lei Yang, Yue Lin, Hongtao Xu

“…To address this, we propose a trajectory-based ghost suppression method that integrates multi-target tracking with point cloud deep learning. Our approach consists of four key steps: (1) point cloud pre-segmentation, (2) inter-frame trajectory tracking, (3) trajectory feature aggregation, and (4) feature broadcasting, effectively combining spatiotemporal information with point-level features. …”
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