Evaluating axillary lymph node metastasis risks in breast cancer patients via Semi-ALNP: a multicenter studyResearch in context by Limeng Qu, Jinfeng Zhu, Xilong Mei, Zixi Yi, Na Luo, Songlin Yuan, Xuan Liu, Mingwen Liu, Haiqing Xie, Xiongqiang Hu, Liangrui Pan, Qingchun Liang, Yanhui Li, Qiongyan Zou, Qin Zhou, Danhua Zhang, Meirong Zhou, Lei Pei, Ke Qian, Qian Long, Qitong Chen, Xi Chen, Jennifer K. Plichta, Qingyao Shang, Meishuo Ouyang, Jiachi Xu, Wenjun Yi

“…This study aimed to construct, evaluate, and validate a semisupervised classifier utilizing radiomic and machine learning (ML) techniques to noninvasively identify axillary nodal disease. …”
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Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context by Chunli Liu, Jie Shi, Fengjuan Wang, Duo Li, Yu Luo, Bofan Yang, Yunlong Zhao, Li Zhang, Dingwei Yang, Heng Jin, Jie Song, Xiaoqin Guo, Haojun Fan, Qi Lv

“…Twenty-two clinical features available within the first 24 h of admission were selected to develop the prediction models. Ten machine learning (ML) algorithms were applied to construct multi-task prediction models. …”
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Distributed Denial of Service Attack Detection in Software-Defined Networks Using Decision Tree Algorithms by Ali Zaman, Salman A. Khan, Nazeeruddin Mohammad, Abdelhamied A. Ateya, Sadique Ahmad, Mohammed A. ElAffendi

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Comparative analysis on few-shot models performance for improving object detection in the military Domain by Junsub Kim, Dongnyeok Choi

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Mapping Quality of Service and Quality of Experience to Public Bike Systems – An Empirical Case of New Taipei YouBike by Chih-Lin CHUNG, Chen-Hao YUE, Chi-Chung TAO

“…This study utilises operational data from a public bike program to develop a quality of service (QoS) model, which involves constructing a dataset of available bikes and docks at each station recorded every five minutes over 55 days across 1,379 rental stations. …”
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A fusion analytic framework for investigating functional brain connectivity differences using resting-state fMRI by Yeseul Jeon, Jeong-Jae Kim, SuMin Yu, Junggu Choi, Sanghoon Han, Sanghoon Han

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Production Dynamic of Coal-bed Methane After Well Pressure Based on Multi-layer Perceptron Model Inversion Study by LI Jingsong, WANG Tao, WANG Jinwei, WEI Zhipeng, XIAO Cong, TANG Jizhou

“…In order to improve the inversion efficiency of traditional numerical simulation methods, with the help of machine learning modeling technology and intelligent algorithm, this paper studies the automatic inversion and programmed design of key parameters such as coal-bed methane reservoir matrix permeability, gas saturation, fracture half length, fracture number and fracture conductivity. …”
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PictureGuard: Enhancing Software-Defined Networking–Internet of Things Security with Novel Image-Based Authentication and Artificial Intelligence-Powered Two-Stage Intrusion Detect... by Hazem (Moh’d Said) Hatamleh, As’ad Mahmoud As’ad Alnaser, Said S. Saloum, Ahmed Sharadqeh, Jawdat S. Alkasassbeh

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Advances in Personalized Cancer Vaccine Development: AI Applications from Neoantigen Discovery to mRNA Formulation by Hyunseung Kong

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SLC3A2 as a key anoikis−related gene for prognosis and tumor microenvironment remodeling in melanoma by Xiaojin Liu, Jiaheng Xie, Yingying Xiao

“…Conclusion This study highlights the pivotal role of anoikis resistance in melanoma heterogeneity and immune microenvironment remodeling. The machine learning–based prognostic model we constructed holds clinical translational potential, and SLC3A2 was validated as a potential therapeutic target, offering new strategies for precision treatment of melanoma.…”
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Second and Foreign Language Pre-Service and In-Service Teacher Development to Make Intercultural Dimensions Explicit. Reflecting Through a Comparative Proposal Between France and C... by Paola Andrea Gamboa Diaz

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Aprender a manejar los conflictos en las clases de educación física a partir del juego deportivo: un modelo de enseñanza para la comprensión (Learning to manage conflicts in physi... by Robert Cebolla-Baldoví, Laura García-Raga

“…This positive perspective to conflict should be assumed by the different educators of any school institution to implement alternative programs to violence and teach how to handle conflicts constructively. …”
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Pedagogical Documentation as a “Bridge” Between Parents and the Early Childhood Curriculum by Domna (Mika) Kakana, Alexandra Gkloumpou

“…Also, the documentation derived from the children, educators and parents constructed a community of relations, participation, shared values and learning among them.…”
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One of the approaches to the organization of the modern educational process by A. G. Savenko, Yu. A. Skudnyakov

“…The program-algorithmic implementation of the rotational-hybrid model in the form of a universal teaching-testing electronic learning tool is shown. …”
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Support of individual educational trajectories based on the concept of explainable artificial intelligence by I. G. Zakharova, M. S. Vorobeva, Yu. V. Boganyuk

“…To predict educational outcomes, the authors used clustering, classification and regression models created through applying machine learning methods.Results. The authors developed and studied predictive models with the subsequent formation of recommendations for the tasks of choosing an educational programme by applicants, choosing an elective discipline, forming a team for a group project and employment in accordance with professional competencies. …”
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Predictive Control for an Ankle Rehabilitation Robot Using Differential Evolution Optimization Algorithm-Based Fuzzy NARX Model by Shenglong Xie, Haiming Zhong, Yuntang Li, Su'an Xu, Wenyuan Liu, Shiyuan Bian, Shiwu Zhang

“…In this paper, based on differential evolution (DE) optimization algorithm and fuzzy nonlinear auto regressive with exogenous inputs (NARX) model, an iterative learning model predictive controller is constructed to achieve accurate and robust trajectory tracking control of an ankle rehabilitation robot driven by pneumatic muscle. …”
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Exploring alternate coupling inputs of a data-driven model for optimum daily streamflow prediction in calibrated SWAT-BiLSTM rainfall-runoff modeling by Khalil Ahmad, Khalil Ahmad, Mudassar Iqbal, Muhammad Atiq Ur Rehman Tariq, Afed Ullah Khan, Abdullah Nadeem, Jinlei Chen, Kseniia Usanova, Kseniia Usanova, Hamad Almujibah, Hashem Alyami, Muhammad Abid

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The Hybrid Modern Network Model: A Multi-Technique Framework for Comprehensive Network Analysis by Theodoros Kyriazos, Mary Poga

“…The methods employed involve constructing initial network structures using SBM, simulating network growth through preferential Attachment, learning node embeddings with GNNs, dynamically optimizing network properties using RL, capturing hierarchical community structures with HRGs, controlling degree distributions using GANs, and uncovering latent patterns with VAEs. …”
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Tools for forecasting regional economic growth using big data and business intelligence technologies by Afanasev Kirill, Kalinin Aleksandr

“…The developed tools were implemented in strategic planning practices of several Russian regions, showing high effectiveness in developing socio-economic development programs. Further research directions include expanding the analyzed indicators through IoT data and digital platforms, improving machine learning algorithms for economic instability conditions, adapting tools for municipal governance level and developing integration mechanisms with existing regional management information systems.…”
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NATIONAL QUALIFICATIONS FRAMEWORKS: CONCEPTUAL AND METHODOLOGICAL PRINCIPLES IN THE CONTEXT OF UNRESOLVED ISSUES by O N. Oleynikova, A. A. Muravyeva, N. M. Aksenova

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