IFP35, a novel DAMP, aggravates neuroinflammation following acute ischemic stroke via TLR4/NF-κB/NLRP3 signaling by Mengmeng Zhang, Bingnan Guo, Xiaowei Zhang, Dong Han, Lanxin Lv, Xiaoqing Yan, Chenglei Su, Dafei Chai, Ningjun Zhao, Xianliang Yan, Shuqun Hu

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Evaluating the Impact of Frequency Decomposition Techniques on LSTM-Based Household Energy Consumption Forecasting by Maissa Taktak, Faouzi Derbel

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An Evaluation and Implementation of Rule-Based Home Energy Management System Using the Rete Algorithm by Tomoya Kawakami, Naotaka Fujita, Tomoki Yoshihisa, Masahiko Tsukamoto

“…In the proposed system, rules for managing energy are processed by smart taps in network, and the loads for processing rules and collecting data are distributed to smart taps. …”
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Learning a cross-scale cross-view decoupled denoising network by mining Omni-channel information by Song Qian, Yan Xue, Youbao Chang

“…Traditional denoising methods often fail to address the complex noise patterns in such scenarios, which can adversely affect feature encoding and subsequent processing tasks. …”
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SAGEFusionNet: An Auxiliary Supervised Graph Neural Network for Brain Age Prediction as a Neurodegenerative Biomarker by Suraj Kumar, Suman Hazarika, Cota Navin Gupta

“…<b>Background:</b> The ability of Graph Neural Networks (GNNs) to analyse brain structural patterns in various kinds of neurodegenerative diseases, including Parkinson’s disease (PD), has drawn a lot of interest recently. …”
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Performance Evaluation of Numerical Weather Prediction Models in Forecasting Rainfall Events in Kerala, India by V. Nitha, S. K. Pramada, N. S. Praseed, Venkataramana Sridhar

“…For accurate forecasting of heavy rainfall events in this region, region-specific evaluations of NWP model performance are very important. …”
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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…Several motifs closely match experimentally validated RBP motifs, confirming the model’s capacity to learn biologically meaningful patterns. A downstream case study on YTHDF1 focuses on analyzing interpretable spatial binding patterns, using a large-scale prediction dataset and CLIP-seq peak alignment. …”
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Clustering coefficient reflecting pairwise relationships within hyperedges by Rikuya Miyashita, Shiori Hironaka, Kazuyuki Shudo

“…Clustering coefficients quantify local link density in networks and have been widely studied for both simple graphs and hypergraphs. …”
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Integrating Human Mobility Models with Epidemic Modeling: A Framework for Generating Synthetic Temporal Contact Networks by Diaoulé Diallo, Jurij Schoenfeld, René Schmieding, Sascha Korf, Martin J. Kühn, Tobias Hecking

“…Additionally, sub-graph analyses confirm that different venue types display distinct network characteristics consistent with their real-world contact patterns. …”
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Electroencephalography-Based Pain Detection Using Kernel Spectral Connectivity Network with Preserved Spatio-Frequency Interpretability by Santiago Buitrago-Osorio, Julian Gil-González, Andrés Marino Álvarez-Meza, David Cardenas-Peña, Alvaro Orozco-Gutierrez

“…To address these limitations, we propose a threefold DL-based framework for coding EEG-based pain detection patterns. (i) We employ the Kernel Cross-Spectral Gaussian Functional Connectivity Network (KCS-FCnet) to code pairwise channel dependencies for pain detection. …”
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Evaluating the impact of waste marble on the compressive strength of traditional concrete using machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Rolando Marcel Torres Castillo, Siva Avudaiappan

“…This research has focused on evaluating the impact of waste marble on the compressive strength of traditional concrete using machine learning (ML). …”
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Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

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Neural Network-Based Genetic Algorithm for Complex Circuit Design of High-Power Vacuum Electron Device by Dongyang Wang, Yonggang Che, Hongfei Yu, Yan Teng

“…To reduce the reliance on PIC simulations, this paper investigates the capability of artificial neural networks (ANNs) for modeling HPVED circuits. Given that the advantageous gene patterns are retained and recombined during the iterations of genetic algorithm, a method for HPVED circuit modeling using process data from the genetic algorithm is designed. …”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…We use machine learning (ML) algorithms, including Random Forest, Logistic Regression, and Support Vector Machine, to evaluate the diagnostic power of the brain features and network patterns in differentiating the PD subtypes and distinguishing PD from HC. …”
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BTCP: Binary Temporal Convolutional Network-Based Data Prefetcher for Low Inference Latency and Storage Overhead by Chang Ho Ryu, Tae Hee Han

“…BTCP aids in detecting memory patterns by processing addresses and program counters through bitwise XOR operations and feeding them into a neural network. …”
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A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security by Junjun Li, Yanyan Ma, Jiahui Bai, Congming Chen, Tingting Xu, Chi Ding

“…The rapid integration of complex sensors and electronic control units (ECUs) in autonomous vehicles significantly increases cybersecurity risks in vehicular networks. Although the Controller Area Network (CAN) is efficient, it lacks inherent security mechanisms and is vulnerable to various network attacks. …”
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Empirical evidence for a process-based model of health-related quality of life using network analysis by Nicolette Stogios, Nicolette Stogios, Troy Francis, Troy Francis, Rachel G. Peiris, Aleksandra Stanimirovic, Aleksandra Stanimirovic, Valeria Rac, Valeria Rac, Robert P. Nolan, Robert P. Nolan

“…In support of this approach, we developed a novel HRQL assessment tool called the EUROIA: EvalUation of goal-diRected activities to prOmote wellbeIng and heAlth, which uses self-report data to assess the frequency with which individuals engage in a sample of goal-directed activities in pursuit of living well.MethodsWe conducted a network analysis to evaluate the hypothesis that the EUROIA subscales would demonstrate a meaningful pattern of associations with an established HRQL measure and associated indices of psychosocial functioning and efficacy in self-managing a chronic medical condition.ResultsThe EUROIA is associated with established indices of HRQL in a manner that is theoretically consistent with our process-based model. …”
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Multidimensional bioinformatics analysis of chondrosarcoma subtypes and TGF-β signaling networks using big data approaches by Shengke Li, Junteng Chen, Fuping He, Maosheng Wang, Jun Liu, Hui Xie

“…Pseudotime analysis charted differentiation trajectories, while machine learning models evaluated the classification accuracy of gene expression patterns. …”
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Competing Strategies in Morphological Approximation: Exploring Prefixoids kvazi(-), nadri(-), nazovi(-), and pseudo(-) in Croatian by Ivan Lacić

“…Overall, the prefixoids present a complex network of interrelationships, yet each prefixoid also establishes a specific niche, balancing between shared semantic roles and distinct, context-dependent uses.…”
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NEURAL NETWORKS INTEGRATION INTO LEGAL RESOURCES FOR ANTI-СORRUPTION MEASURES IN INTERNATIONAL ECONOMIC CO-OPERATION by Oleksii Makarenkov

“…The primary anti-corruption knowledge generated by digital neural networks consists of reliable insights into interconnections, patterns, and behavioural trends concerning material assets beyond national borders. …”
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