A cooperative stochastic configuration network based on differential evolutionary sparrow search algorithm for prediction by Wenhao Fang, Bo Shen, Anqi Pan, Lei Zou, Baoye Song

“…Stochastic configuration network (SCN) is a powerful prediction model whose performance is significantly influenced by the configuration of the network parameters. …”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

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Brain-wide mapping of acute hypoxia-induced neuronal activation in mice: A c-Fos immunofluorescence study by Xingyao Yu, Pai Pang, Tao Liu, Xiufang Jiang, Jiayi Zhang, Xiangpei Yue, Jianjun Guo, Xiang Cheng, Tong Zhao, Yongqi Zhao, Zhonghua Dai, Lingling Zhu

“…Our functional analysis focused on key brain regions governing: cardiorespiratory homeostasis, attention, memory, emotional processing, motivation and reward. …”
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Flood risk assessment for road infrastructures using Bayesian networks: case study of Santarem - Portugal by Erica Arango, Monica Santamaria, Maria Nogal, Hélder S. Sousa, José C. Matos

“…Some efforts have been made to conduct a regional flood risk assessment to support the decision-making process of exposed areas. …”
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Rapid Bayesian Imaging of Large‐Scale Transient Electromagnetic Data Using Probabilistic Neural Networks by Jian Chen, Stefano Galli, Alessandro Signora, Nicole Anna Lidia Sullivan, Bo Zhang, Gianluca Fiandaca

“…In this study, we proposed a probabilistic neural network (PNN) structure to estimate the posterior probability density function (PDF) of model parameters. …”
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Investigation into the Prediction of Ship Heave Motion in Complex Sea Conditions Utilizing Hybrid Neural Networks by Yuchen Liu, Xide Cheng, Kunyu Han, Zhechun Liu, Baiwei Feng

“…Sensitivity analysis was conducted to optimize the prediction performance of the CNN-BiLSTM-Attention hybrid neural network method, resulting in a significant improvement in MAPE and enhancing the accuracy of ship motion prediction. …”
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Co-Simulation Model for Determination of Optimal Active Power Filters Settings in Low-Voltage Network by Mario Primorac, Zvonimir Klaić, Heidi Adrić, Matej Žnidarec

“…This paper, along with a detailed analysis of the literature, provides an overview of different views on the problems of optimal allocation of active filters and emphasizes the importance that the problem of optimal allocation of active filters should be based on the variability of the harmonic spectrum as a function of time. Installing devices for reducing harmonics in the network, in terms of improving the quality of electricity, is one of the essential elements from both a technical and an economic point of view and can solve these challenges. …”
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Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization by Shuangqing Chen, Shun Zhou, Zhe Xu, Yongbin Liu, Bing Guan, Xiaoyu Jiang, Wencheng Li

“…The two-way inference function of Bayesian network is used to obtain the failure probability of gas pipeline and the posterior probability of root node. …”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The model also incorporates a dynamic hyperparameter tuning mechanism that optimally adjusts learning rates and exploration parameters based on real-time network feedback. Experimental evaluations conducted in a simulated WSN environment demonstrate the effectiveness of the proposed framework, achieving a 30.5% reduction in energy consumption, a 92.5% packet delivery ratio (PDR), and a 94% mitigation efficiency against multiple cyberattack scenarios, including DDoS, black-hole, and data injection attacks. …”
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Mechanism of <italic>Hedyotis Diffusa</italic> in Treatment of Osteosarcoma based on Network Pharmacology and Molecular Docking by Qin LIU, Xinwei DUAN, Xihai LI

“…Cytoscape 3.8.1 software was used to construct the compound-target gene network of Hedyotis diffusa; the common target genes were introduced into the STRING database to construct protein-protein interaction(PPI)network; DAVID online database and R language were used to conduct GO enrichment analysis and KEGG enrichment analysis for common targets; Cytoscape 3.8.1 software was used to screen out the core targets of Hedyotis diffusa for intervening osteosarcomas. …”
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Enhancing Cyber Resilience Through Traffic Generation Patterns in Complex Networks: A Study on Cascading Failures by B. Aymar Le Pere Tchimwa, Jean-Pierre Lienou, Wilson Ejuh Geh, Frederica Nelson, Sachin Shetty, Charles Kamhoua

“…To address this issue, we model our networks as unweighted, undirected graphs consisting of non-mobile nodes and use the host survival rate&#x2014;the percentage of functional hosts after a failure&#x2014;as the network&#x2019;s critical function. …”
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Open-access ultrasonic diaphragm dataset and an automatic diaphragm measurement using deep learning network by Zhifei Li, Lin Mao, Fan Jia, Shaohui Zhang, Cuiping Han, Shuiqiao Fu, Yueying Zheng, Yonghua Chu, Zuobing Chen, Daming Wang, Huilong Duan, Yinfei Zheng

“…Abstract Background The assessment of diaphragm function is crucial for effective clinical management and the prevention of complications associated with diaphragmatic dysfunction. …”
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MDPNet: a dual-path parallel fusion network for multi-modal MRI glioma genotyping by Huaizhi Wang, Haichao Liu, Fang Du, Fang Du, Fang Du, Di Wang, Xianhao Huo, Jihui Tian, Lijuan Song, Lijuan Song, Lijuan Song

“…Experiments conducted on public datasets demonstrate that our method outperforms existing approaches in accuracy, Area Under the Curve (AUC), sensitivity, and specificity. …”
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Efficacy of aerobic exercises for knee osteoarthritis: a network meta analysis of randomized clinical trials by Yuan Luo, Xiao Chen, Haibo Gong, Li Chen, Liyue Zhang, Shuqiang Li

“…To address this knowledge gap, we performed a systematic network meta-analysis to compare and rank the clinical efficacy of various aerobic exercise regimens for managing KOA. …”
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Acupuncture-moxibustion for chemotherapy-induced peripheral neuropathy: A systematic review and network meta-analysis by Yan LI, Shuang LIU, Hai-fa QIAO

“…The network meta-analysis evaluated the effect of different acupuncture therapies across four outcomes: effective rate, pain scores, QoL, and nerve conduction. …”
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Integrated meta-analysis and network pharmacology analysis: evaluation of Zhigancao decoction as treatment for diabetic cardiomyopathy by Kangshou Ji, Kangshou Ji, Meizi Han, Mingqian Yang, Qian Xu, Yan Zhang, Yan Zhang

“…To select core genes, protein-protein interaction networks were generated using the STRING platform, and enrichment analyses were completed using the Metascape platform.ResultsMeta-analysis results were ultimately derived from 9 studies involving 661 patients in total. …”
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The contributions of resting-state functional-MRI studies to our understanding of male patients with obstructive sleep apnea: a systematic review by Ruoxi Yu, Yan Li, Kangqing Zhao, Fangfang Fan

“…Additionally, these findings could be used in the future to evaluate treatment outcomes.ConclusionThis study highlights significant changes in local brain activities, interested region related functional connectivity, and whole-brain functional connectivity networks in patients with OSA. …”
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Using social-network analysis to map institutional actors’ links with vulnerable municipalities under climate change in Honduras’ dry corridor. Pathways towards improved cooperatio... by Carlos Eduardo Gonzalez-Rodriguez, Irma Ayes-Rivera, Jean-Francois Le Coq, Rafael Renteria-Ramos, Johana Marcela Castillo-Rivera

“…This research analyzes how institutional structures function and interact as a network to investigate the spatial coherence and relevance of public- and private-sector interventions related to agriculture, climate change, and food security in 153 municipalities of Honduras’ dry corridor. …”
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Urban Land Use Classification Model Fusing Multimodal Deep Features by Yougui Ren, Zhiwei Xie, Shuaizhi Zhai

“…Finally, the transformer is used to fuse both topological and raster structure deep features, and land use classification is completed using the softmax function. Experiments were conducted using high-resolution Google images and Open Street Map (OSM) data, with study areas on the third ring road of Shenyang and the fourth ring road of Chengdu. …”
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Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks by Christoph Weilenmann, Alexandros Nikolaos Ziogas, Till Zellweger, Kevin Portner, Marko Mladenović, Manasa Kaniselvan, Timoleon Moraitis, Mathieu Luisier, Alexandros Emboras

“…Abstract Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more complex functions such as short-term memory, short-term plasticity, and meta-plasticity - all collocated within each synapse. …”
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