Interventions to improve mental health and well-being in care-experienced children and young people aged less than 25: the CHIMES systematic review by Rhiannon Evans, Sarah MacDonald, Robert Trubey, Jane Noyes, Michael Robling, Simone Willis, Soo Vinnicombe, Maria Boffey, Charlotte Wooders, Asmaa El-Banna, GJ Melendez-Torres

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Comparative Analysis of Deep Learning Models for Stock Price Prediction in the Indian Market by Moumita Barua, Teerath Kumar, Kislay Raj, Arunabha M. Roy

“…This research presents a comparative analysis of various deep learning models—including Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), and Attention LSTM—in predicting stock prices of major companies in the Indian stock market, specifically HDFC, TCS, ICICI, Reliance, and Nifty. …”
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YOLO-AFR: An Improved YOLOv12-Based Model for Accurate and Real-Time Dangerous Driving Behavior Detection by Tianchen Ge, Bo Ning, Yiwu Xie

“…These three modules combine to form a Calibration-Refinement Loop, which progressively reduces redundancy and enhances discriminative features layer by layer. We evaluate YOLO-AFR on two public driver behavior datasets, YawDD-E and SfdDD. …”
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VPN Traffic Analysis: A Survey on Detection and Application Identification by Yasameen Sajid Razooqi, Adrian Pekar

“…We synthesize reported performance results, analyze trends in feature and methodology evolution, and highlight the prevalent use and limitations of benchmark datasets. …”
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DGSS-YOLOv8s: A Real-Time Model for Small and Complex Object Detection in Autonomous Vehicles by Siqiang Cheng, Lingshan Chen, Kun Yang

“…The key innovation lies in the synergistic integration of several architectural enhancements: the DCNv3_LKA_C2f module, leveraging Deformable Convolution v3 (DCNv3) and Large Kernel Attention (LKA) for better the capture of complex object shapes; an Optimized Feature Pyramid Network structure (Optimized-GFPN) for improved multi-scale feature fusion; the Detect_SA module, incorporating spatial Self-Attention (SA) at the detection head for broader context awareness; and an Inner-Shape Intersection over Union (IoU) loss function to improve bounding box regression accuracy. …”
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Long-term outcome in Wiskott-Aldrich syndrome and X-linked thrombocytopenia patients: an observational -prospective multi-center study of the Italian Primary Immune Deficiency Netw... by Annarosa Soresina, Roberto Rondelli, Lucia Dora Notarangelo, Franco Locatelli, Alessandro Aiuti, Alessandra Biffi, Marco Rabusin, Claudio Pignata, Giuseppe Menna, Arcangelo Prete, Maura Faraci, Attilio Rovelli, Francesca Conti, Patrizia Bertolini, Chiara Azzari, Caterina Cancrini, Marco Zecca, Francesca Ferrua, Maria Pia Cicalese, Francesco Cecere, Laura Dotta, Baldassarre Martire, Silvia Giliani, Daniele Moratto, Cinzia Mazza, Alessandro Plebani, Luigi D. Notarangelo, Andrea Pession, Raffaele Badolato, Fulvio Fulvio

“…A.S., A.A., P.C., F.F., C.M.P., C.F., D.L., G.S., M.D., M.C., P.A., B.A., P.F. are part of the European Reference Network on Rare Primary Immunodeficiency, Autoinflammatory and Autoimmune Diseases (ERN-RITA, project 739543).…”
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Information coevolution spreading model and simulation based on self-organizing multi-agents by Guoxin Ma, Kang Tian, Hongbo Sun, Hong Zhao, Yongyan Wang

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STGATN: a wind speed forecasting method based on geospatial dependency by Xingtong Ge, Ling Peng, Yi Yang, Cang Qin, Jiahui Chen, Hongze Liu, Zhaobo Li

“…Finally, a spatiotemporal graph attention neural network is designed to effectively extract and fuse spatiotemporal features, balancing time series trends and cycles with spatial dependency. …”
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Social and geographical postulates of the formation of a new administrative-territorial structure of Ukraine by Viktoria Yavorska, Kateryna Kolomiyets

“…Because society does not develop in isolation, but in the natural environment, in order to maintain its harmonious development is necessary to form natural ecological safety carcass of regions – regional ecological network. This is the fifth socio-geographic postulate. …”
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A scalable deep attention mechanism of instance segmentation for the investigation of chromosome by Neelam Umbreen, Sara Ali, Hasan Sajid, Yasar Ayaz, Shrooq Alsenan, Yunyoung Nam, So Yeon Kim, Muhammad Baber Sial

“…The proposed framework includes a custom Mask R-CNN model enhanced with an Attention-based Feature Pyramid Network (AttFPN), spatial attention mechanisms, and a LastLevelMaxPool block for superior multi-scale feature extraction and focused attention on critical regions of the image. …”
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CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…Subsequently, a diffusion model is employed to balance the states of nodes within the graph, enabling the co-evolution of adjacency relationships and feature information, thereby aggregating higher-order feature information to obtain superior feature embeddings. …”
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Epileptic seizure detection in EEG signals via an enhanced hybrid CNN with an integrated attention mechanism by Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul

“…Evaluation of a public EEG dataset revealed superior performance compared to existing methods. …”
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Construction of GAN‐RES and Its Application to Small Sample Fusulinid Fossil Recognition by Jiahui Xu, Yang Lu, Xu Xu

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The analysis of interactive furniture design system based on artificial intelligence by Xiaohong Jiang

“…The Kano model is used to evaluate the interactive features of the furniture. …”
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Temperature Prediction Model for Power Data Centers Based on GRU by WANG Xu, TUO Ya, LI Xin, WANG Fang, LI Chenxia, DING Bo

“…Experimental evaluations are conducted using a temperature dataset provided by the Inner Mongolia data center, and comparisons with other neural network models are made. …”
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RDCU-Net: A Multi-Scale Residual Dilated Convolution U-Net with Spatial Pyramid Pooling for Brain Tumor Segmentation by Mohammad Soltani-Gol, Akbar Asgharzadeh-Bonab, Hamid Soltanian-Zadeh, Jalil Mazlum

“…The proposed model improves training, network depth, and feature extraction by incorporating a residual block. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…This adjustment ensures that important features are emphasized while redundant features are suppressed, streamlining the recognition process. …”
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Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load by Toan Pham-Bao, Vien Le-Ngoc

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Development and validation of a deep learning algorithm for discriminating glioma recurrence from radiation necrosis on MRI by Yu-Zhe Ying, Xiao-Hong Cai, Xiao-Hong Cai, Han Yang, Han Yang, Hua-Wei Huang, Dao Zheng, Hao-Yi Li, Ge-Hong Dong, Yong-Gang Wang, Zhong-Li Jiang, Zhu-Lin An, Zhu-Lin An, Guo-Bin Zhang

“…Various Convolutional Neural Network (CNN) models were employed to learn radiological features indicative of glioma recurrence and radiation necrosis from the MRI scans. …”
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Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study by Prasanta Kumar Samal, R. Srinidhi, Pramod Kumar Malik, H. J. Manjunatha, Imran M. Jamadar

“…Fine Tree models also demonstrated competitive performance while maintaining low computational demand, while Wide Neural Networks exhibited high predictive performance with longer training times. …”
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