CYLD as a key regulator of myocardial infarction-to-heart failure transition revealed by multi-omics integration by Jingya Xu, Jingya Xu, Zhonghua Dong, Zhaodong Li, Xuan Wang, Xuan Wang

“…Our multistep analytical pipeline included weighted gene coexpression network analysis (WGCNA) to map interacting genes, machine learning algorithms for robust classification, functional annotation via Kyoto Encyclopedia of Genes and Genomes (KEGG) to explore biological pathways, CIBERSORT correlation analysis linking hub genes with immune cell states, transcriptional regulation profiling of key hubs, and single-cell sequencing to assess the functional relevance of these hubs.ResultsOur findings revealed that 413 DEGs were significantly different between MI and HF. …”
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Formation control method for multiple flight vehicles based on adaptive dynamic programming by Jie XIAO, Qingpu TANG, Jiale LI, Guofei LI

“…The theory’s ability to learn and adapt to dynamic environments makes it particularly well-suited for UAV control. …”
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Identification and validation of CKAP2 as a novel biomarker in the development and progression of rheumatoid arthritis by Qiongbing Zheng, Qiongbing Zheng, Youmian Lan, Jiexin Chen, Ling Lin, Ling Lin

“…Differentially expressed gene (DEG) analysis, functional enrichment analysis, and weighted gene co-expression network analysis (WGCNA) identified key gene modules in RA. …”
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A Perspective on Rehabilitation Through Open-Source Low-Cost 3D-Printed Distal to the Wrist Joint Transitional Prosthetics: Towards Autonomous Hybrid Devices by Florin-Felix Răduică, Ionel Simion, Ioana-Cătălina Enache, Elena Narcisa Valter, Alessandro Naddeo

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Aflatoxin contamination level estimation in food using reflectance multispectral imaging based system by H.M.P.S. Madushan, H.L.P. Malshan, K.K. Abewickrama, H.M.V.R. Herath, Roshan Godaliyadda, M.P.B. Ekanayake, A.D.S.N.P. Athukorala, M.D.H.M. Kumari, Darsha Udayanga

“…A functional relationship between the Bhattacharyya distance of noncontaminated samples to contaminated samples and aflatoxin contamination levels was modeled as a first order polynomial with an R2 value of 0.9723.…”
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Transforming Neural Networks into Quantum-Cognitive Models: A Research Tutorial with Novel Applications by Milan Maksimovic, Ivan S. Maksymov

“…This paper demonstrates how traditional neural networks can be transformed into neuromorphic quantum models, enabling anyone with a basic understanding of undergraduate-level machine learning to create quantum-inspired models that mimic the functioning of the human brain—all using a standard laptop. …”
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Application of Artificial Intelligence in Acute Ischemic Stroke: A Scoping Review by JoonNyung Heo

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Enhancing Privacy While Preserving Context in Text Transformations by Large Language Models by Tymon Lesław Żarski, Artur Janicki

“…We developed a conceptual solution that enhances user privacy by identifying and anonymizing named entity classes representing sensitive data while maintaining the original context by swapping source entities for functional data. Our approach utilizes natural language processing methods, combining machine learning tools such as MITIE and spaCy with rule-based text analysis. …”
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A Hybrid and Modular Integration Concept for Anomaly Detection in Industrial Control Systems by Christian Goetz, Bernhard G. Humm

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Unsupervised Contrastive Graph Kolmogorov–Arnold Networks Enhanced Cross-Modal Retrieval Hashing by Hongyu Lin, Shaofeng Shen, Yuchen Zhang, Renwei Xia

“…Existing approaches often struggle with suboptimal feature learning due to fixed activation functions and limited cross-modal interaction. …”
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Physics Informed Neural Networks for Modeling Large-Scale Wind Driven Ocean Circulation by Boohyun An, Mohammad Z. Shanti, Chan Yeob Yeun, Ernesto Damiani, Sungmun Lee, Tae-Yeon Kim

“…The architecture of the neural network was systematically optimized through hyperparameter tuning, including the selection of optimizers, activation functions, network configurations, and learning rate schedulers to ensure stable convergence and minimize fluctuations in training loss. …”
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Association prediction of lncRNAs and diseases using multiview graph convolution neural network by Wei Zhang, Yifu Zeng, Xiaowen Xiang, Bihai Zhao, Sai Hu, Limiao Li, Xiaoyu Zhu, Lei Wang

“…This work advances network-based computational strategies for decoding lncRNA functions in disease biology and provides a scalable tool for prioritizing therapeutic targets.…”
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LPItabformer: Enhancing generalization in predicting lncRNA-protein interactions via a tabular Transformer by Qin Lin, Jie Sheng, Chang Zhou, Tao Xiao, Yilei Meng, Mingxin Lu, Junfang Zhang, Xueyun Yan, Luying Peng, Huaming Cao, Li Li

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Point-SPV: end-to-end enhancement of object recognition in simulated prosthetic vision using synthetic viewing points by Ashkan Nejad, Ashkan Nejad, Ashkan Nejad, Burcu Küçükoǧlu, Jaap de Ruyter van Steveninck, Sandra Bedrossian, Joost Heutink, Joost Heutink, Gera A. de Haan, Gera A. de Haan, Frans W. Cornelissen, Marcel van Gerven

“…In this paper, we introduce Point-SPV, an end-to-end deep learning model designed to enhance object recognition in simulated prosthetic vision. …”
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The Challenge to Educational Reforms during a Global Emergency: The Case of Progressive Science Education by Keith S. Taber

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ACADEMIC AND VOCATIONAL QUALIFICATIONS FOR SECONDARY VOCATIONAL EDUCATION GRADUATES by Svetlana А. Efimova

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A Copula-Driven CNN-LSTM Framework for Estimating Heterogeneous Treatment Effects in Multivariate Outcomes by Jong-Min Kim

“…Our framework accommodates continuous, count, and censored survival outcomes simultaneously through a multitask learning setup with customized loss functions, including Cox partial likelihood for survival data. …”
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High-Reputation Food Formulas: A Heterogeneous Information Network Representation and Semantic Analysis Approach by Hongfei Cui, Rui Yan, Qi Cao, Jingyu Zhang

“…To address this, we propose a semantic analysis framework that combines heterogeneous information network representation learning and lexicon-based sentiment analysis to uncover relationships between ingredients and consumer word-of-mouth. …”
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Atomic‐Scale Dynamics at the Interface of Doped Liquid Gallium: Contrasting Effects of Gallium Oxide and Vacuum by Krista G. Steenbergen, Stephanie Lambie, Charlie Ruffman, Nicola Gaston

“…More broadly, these findings underscore the critical role of interfaces in modulating dopant dynamics, offering new pathways for tuning the properties and functionalities of liquid metal technologies.…”
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Digital Twin-Empowered Robotic Arm Control: An Integrated PPO and Fuzzy PID Approach by Yuhao Cen, Jianjue Deng, Ye Chen, Haoxian Liu, Zetao Zhong, Bo Fan, Le Chang, Li Jiang

“…The construction and functionality of each subsystem within the digital twin-empowered robotic arm control system are detailed. …”
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