Congruent Learning for Self-Regulated Federated Learning in 6G by Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Adam Orucu, Masoumeh Ebrahimi, Andreas Johnsson

“…Future 6G networks are expected to be AI-native with distributed machine learning functionalities responsible for improving and automating a variety of network- and service-management tasks. …”
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Learning management system as a necessary element of blended learning by O. V. Andryushkova, M. A. Gorbunov, A. V. Kozlova

“…The following characteristics of e-learning systems were studied: functionalities of modules and subsystems; terms of authorization, installation and support; interface convenience and other parameters. …”
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AI, machine learning and deep learning in cyber risk management by Ishrag Hamid, M. M. Hafizur Rahman

“…Abstract The integration of Artificial Intelligence (AI) and Machine Learning (ML) in both climate change and cyber risk management has significantly bolstered their effectiveness. …”
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Research on LSTM-PPO Obstacle Avoidance Algorithm and Training Environment for Unmanned Surface Vehicles by Wangbin Luo, Xiang Wang, Fang Han, Zhiguo Zhou, Junyu Cai, Lin Zeng, Hong Chen, Jiawei Chen, Xuehua Zhou

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Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8 by Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI

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Identification of mitochondrial function and programmed cell death associated key biomarkers and the circRNA-miRNA-mRNA regulatory network in systemic lupus erythematosus by Junjie Cao, Aifang Li, Hui Zhou, Yujie Yan, Gaiying Luo

Subjects: “…mitochondrial function…”
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Comparison of Univariate and Multivariate Applications of GBLUP and Artificial Neural Network for Genomic Prediction of Growth and Carcass Traits in the Brangus Heifer Population by Sunday O. Peters, Kadir Kızılkaya, Mahmut Sinecen, Milt G. Thomas

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Time series generation model based on multi-discriminator generative adversarial network by Yanhui LU, Han LIU, Hang LI, Guangxu ZHU

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Applications of resting-state fMRI and machine learning in cognitive impairment in type 2 diabetes mellitus: A scoping review by Zhizhong Sun, Zidong Cao, Limin Ge, Yifan Li, Haoming Huang, Mingrui Li, Shijun Qiu

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Symbiotic Learning Grey Wolf Optimizer for Engineering and Power Flow Optimization Problems by Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana

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Modeling One-Dimensional Nonlinear Consolidation Problems by Physics-Informed Neural Network with Layer-Wise Locally Adaptive Activation Functions by Jie Zhou, De’an Sun, Yang Chen

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A dual-branch deep learning model based on fNIRS for assessing 3D visual fatigue by Yan Wu, Yan Wu, Yan Wu, TianQi Mu, SongNan Qu, XiuJun Li, XiuJun Li, XiuJun Li, Qi Li, Qi Li, Qi Li

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Neural correlates of subjective cognitive decline in Alzheimer’s disease: a systematic review of structural and functional brain changes for early diagnosis and intervention by Giulia Marafioti, Laura Culicetto, Desirèe Latella, Angela Marra, Angelo Quartarone, Viviana Lo Buono

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Functional and Diffusion-Based Microstructural Correlates in Cortical and Subcortical Substrates of Motor Performance of a Complex Visuomotor Task in Middle-Aged Adults by Diana Kyriazis, Makoto Uji, Samira Bouyagoub, Mara Cercignani, Paul R Ford, Natasha Sigala

“…We compared performance and functional imaging on the Early and Late Learning phases of the task. …”
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Short-Term Load Forecasting in Distribution Substation Using Autoencoder and Radial Basis Function Neural Networks: A Case Study in India by Venkataramana Veeramsetty, Prabhu Kiran Konda, Rakesh Chandra Dongari, Surender Reddy Salkuti

Subjects: “…radial basis function neural network…”
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A Multisource Dynamic Fusion Network for Urban Functional Zone Identification on Remote Sensing, POI, and Building Footprint by Hangfeng Qiao, Huiping Jiang, Gang Yang, Faming Jing, Weiwei Sun, Chenyang Lu, Xiangchao Meng

Subjects: “…Deep learning (DL)…”
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Prediction of postoperative visual cognitive impairment using graph theory and machine learning based on resting-state brain networks by Songbin Liu, Zhaoshun Jiang, Pei Ye, Feidong Lv, Fei Tao, Yuxi Cai, Lina Yi, Shihong Li, Guoqing Wu, Jun Zhang, Weidong Gu

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Machine learning modeling and analysis of prognostic hub genes in cervical adenocarcinoma: a multi target therapy for enhancement in immunosurveillance by Madiha Jabeen Abbasi, Rashid Abbasi, ShuPeng Wu, Md Belal Bin Heyat, Ding Xianfeng, Huijie Jia, Aiwen Zheng

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A Randomized Controlled Study on the Application of LEARNS Health Education Combined with Intelligent Follow-up Management in Secondary Prevention of Ischemic Stroke and Its Impact on Patient Compliance and Neurological Function by Chu R, Zhen X, Wang L, Zhang M, Shang M, Wang C, Liu J

“…Rui Chu,1 Xue Zhen,2 Lei Wang,2 Min Zhang,3 Min Shang,4 Chao Wang,5 Jia Liu6 1The Third Ward of Medical Oncology Department, the First Affiliated Hospital of Qiqihar Medical College, Qiqihar, People’s Republic of China; 2Neurointerventional Ward, Department of Rehabilitation Medicine, the First Affiliated Hospital of Qiqihar Medical College, Qiqihar, People’s Republic of China; 3Department of Nursing, the First Affiliated Hospital of Qiqihar Medical College, Qiqihar, People’s Republic of China; 4Second Ward, Department of Neurology, the First Affiliated Hospital of Qiqihar Medical College, Qiqihar, People’s Republic of China; 5Qiqihar Medical College, Qiqihar, People’s Republic of China; 6Academic Affairs Department, The First Affiliated Hospital of Qiqihar Medical College, Qiqihar, People’s Republic of ChinaCorrespondence: Jia Liu, Email liujia6380@126.comObjective: This randomized controlled study aimed to evaluate the effectiveness of LEARNS health education combined with intelligent follow-up management in the secondary prevention of ischemic stroke (IS), focusing on patient compliance and neurological function outcomes. …”
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Review of community-based interventions for people with serious mental illness, focusing on learning instrumental activities of daily living and enhancing wellbeing by Emi Patmisari, Yunong Huang, Carla McLaren, Pankhuri Bhatia, Mark Orr, Sumathi Govindasamy, Emily Hielscher, Helen McLaren

“…Findings demonstrated that community-based interventions significantly improved IADLs, promoting functional independence and overall well-being. Thematic analysis identified five key mechanisms for success: individualised goal-setting, structured programs with practical learning, engagement of support systems, integration into daily life, and use of innovative technologies. …”
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