Reinforcement Learning-Based Resource Allocation Scheme of NR-V2X Sidelink for Joint Communication and Sensing by Zihan Li, Ping Wang, Yamin Shen, Song Li

“…Utilizing echoes of the same signal can achieve the object location sensing function, in addition to the V2X communication function. …”
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Extreme Value Statistics of Community Detection in Complex Networks with Reduced Network Extremal Ensemble Learning (RenEEL) by Tania Ghosh, Royce K. P. Zia, Kevin E. Bassler

“…Recently, a machine learning algorithmic scheme was introduced that uses information within a set of partitions to find a new partition that better maximizes an objective function. …”
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The management of challenging behaviour in high schools: A scoping review of neuro-informed classroom strategies by Krista Tomas, Judith Foggett, Angela Page, Sharon Savage

“…All articles addressed the pedagogy of cognitive development in the context of learning, executive function, and emotional regulation. …”
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A Convolutional Neural Network for Coastal Classification Based on ALOS and NOAA Satellite Data by Kinh Bac Dang, Van Bao Dang, Quang Thanh Bui, Van Vuong Nguyen, Thi Phuong Nga Pham, Van Liem Ngo

“…As a result, three ConvNet models using three different optimizer functions were developed with the accuracies of about 98% and low values of the loss function. …”
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SCREENING OF HEARING DISORDER IN CHILDREN AGED 13-14 YEARS IN TEGAL by Ilma Mufidatul Aufa, Yanuar Iman Santosa, Dwi Marliyawati, Zulfikar Naftali

“…Keywords : Hearing loss, hearing function examination, risk factors for hearing loss…”
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СИСТЕМА HLCCAD ДЛЯ СМЕШАННОГО ОБУЧЕНИЯ ОСНОВАМ ЦИФРОВОЙ ЭЛЕКТРОНИКИ by Долинский М.С.

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Goal-oriented autonomous decision-making for social robots via collaborative interactive inverse reinforcement learning approach by Mingyue Luo, Hui Li, Wanbo Luo, Hewei Li, Jianan Li

“…Additionally, GO-ADM incorporates a penalty function for social safety distance to further ensure the safety of human-robot interaction. …”
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Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis by XinPei Liu, SanXi Ai, RuiMing Yu, ChaoJi Zhang, Qi Miao

“…These features informed the development of machine learning models, including logistic regression, linear and radial basis function support vector machines, XGBoost, decision trees, and random forests. …”
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YO-AFD: an improved YOLOv8-based deep learning approach for rapid and accurate apple flower detection by Dandan Wang, Dandan Wang, Huaibo Song, Huaibo Song, Huaibo Song, Bo Wang

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Human and environmental feature-driven neural network for path-constrained robot navigation using deep reinforcement learning by Nabih Pico, Estrella Montero, Alisher Amirbek, Eugene Auh, Jeongmin Jeon, Manuel S. Alvarez-Alvarado, Babar Jamil, Redhwan Algabri, Hyungpil Moon

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Acute Supplementation of Soluble Mango Leaf Extract (Zynamite^® S) Improves Mental Performance and Mood: A Randomized, Double-Blind, Placebo-Controlled Crossover Study by Yolanda Castellote-Caballero, Ana Beltrán-Arranz, Agustín Aibar-Almazán, María del Carmen Carcelén-Fraile, Yulieth Rivas-Campo, Laura López-Ríos, Tanausú Vega-Morales, Ana María González-Martín

“…Short- and long-term memory were evaluated using the Rey Auditory Verbal Learning Test (RAVLT), executive functions with the Trail Making Test (TMT), processing speed with the Digit Symbol Substitution Test (DSST), and selective attention with the Stroop Color and Word Test. …”
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New design paradigm for federated edge learning towards 6G:task-oriented resource management strategies by Zhiqin WANG, Jiamo JIANG, Peixi LIU, Xiaowen CAO, Yang LI, Kaifeng HAN, Ying DU, Guangxu ZHU

“…Objectives: To make full use of the abundant data distributed at the edge of the network to serve the training of artificial intelligence models, edge intelligence technology represented by federated edge learning emerges as the times require. The rich data at the edge enables it to serve artificial intelligence model training, and design wireless resource management strategies with the goal of optimizing learning performance (such as optimizing model training time, learning convergence, etc.). …”
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Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives by Xiaoling Huang, Xiangyin Kong, Yan Yan, Zhiyuan Gao, Zihan Li, Chun Zhang, Kai Jin, Juan Ye

“…The visual field (VF) examination is important but time-consuming for visual function evaluation with high requirement of cooperation and reliability of patients. …”
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3D Printing‐Based Hydrogel Dressings for Wound Healing by Xuan Zhou, Xunzhou Yu, Tingting You, Baohua Zhao, Lanlan Dong, Can Huang, Xiaoqing Zhou, Malcolm Xing, Wei Qian, Gaoxing Luo

“…Thereafter, the application of multi‐functional 3D printing‐based hydrogel dressings in a variety of wound environments is discussed in depth, including hemostasis, anti‐inflammation, antibacterial, skin appendage regeneration, intelligent monitoring, and machine learning‐assisted therapy. …”
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Teaching Legal Problem Solving: A Problem-based Learning Approach Combined with a Computerised Generic Problem by Fiona Martin

“…Providers of pre-admission practical legal training (PLT) aim to equip their graduates with a range of attitudes, skills, and strategies to enable them to function as ethical and competent newly admitted practitioners. …”
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Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…Meanwhile, the general spatial interpolation algorithms based on deep learning usually have low model complexity and lack the specific designed loss function, which usually leads to significant interpolation errors. …”
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Construction and Comparison of Machine Learning-Based Risk Prediction Models for Major Adverse Cardiovascular Events in Perimenopausal Women by Chen A, Chang X, Bian X, Zhang F, Ma S, Chen X

“…Anjing Chen,1,* Xinyue Chang,2,* Xueling Bian,1 Fangxia Zhang,3 Shasha Ma,4 Xiaolin Chen5 1College of Nursing, Binzhou Medical University, Shandong, 256600, People’s Republic of China; 2Vascular Surgery Department, Shandong Provincial Hospital, Binzhou, Shandong, 250001, People’s Republic of China; 3CCU, Binzhou Medical University Hospital, Binzhou, Shandong, 256600, People’s Republic of China; 4Neurology Department, Binzhou Medical University Hospital, Binzhou, Shandong, 256600, People’s Republic of China; 5Office of Health Care, Binzhou Medical University Hospital, Binzhou, Shandong, 256600, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaolin Chen, Office of Health Care, Binzhou Medical University Hospital, No. 661, Huanghe 2nd Road, Bincheng District, Binzhou, Shandong, 256600, People’s Republic of China, Tel +86 13854380372, Email xiaolin750210@sina.comBackground: Perimenopausal period is a period of physiological changes in women with signs of ovarian failure, including menopausal transition period and 1 year after menopause. Ovarian function declines in perimenopausal women and lower estrogen levels lead to changes in the function of various organs, which may lead to cardiovascular disease. …”
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Ubigo-X: Protein ubiquitination site prediction using ensemble learning with image-based feature representation and weighted voting by Disline Manli Tantoh, Jen-Chieh Yu, Ching-Hsuan Chien, Wei-Yi Yeh, Yen-Wei Chu

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Mahalanobis distance–based kernel supervised machine learning in spectral dimensionality reduction for hyperspectral imaging remote sensing by Jing Liu, Yulong Qiao

“…The Mahalanobis distance–based multiples kernel learning achieves higher classification accuracy than the Euclidean distance kernel function. …”
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Interplay of lung microbiome and epigenetics in former smokers: A machine learning and fuzzy logic approach on COPD progression by Hamidreza Taherkhani, Azadeh Kavianfar, Hossein Lanjanian, Nazanin Hosseinkhan, Mahdieh Salimi, Sajjad Nematzadeh, Mohammad Mehdi Naghizadeh, Sadegh Azimzadeh, Ali Masoudi-Nejad

“…Notably, the epigenetic changes induced by smoking suggested a long-lasting consequence for cellular function and disease susceptibility even after quitting smoking. …”
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