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  1. 821

    Comparative efficacy and safety of probiotics for the treatment of irritable bowel syndrome: a systematic review and network meta-analysis protocol by Man Yang, Yuanyuan Yu, Ping-Guang Lei, Jinqiu Yuan

    Published 2019-12-01
    “…Introduction Irritable bowel syndrome (IBS) is a common chronic functional gastrointestinal disorder affecting approximately 10% to 25% of the adult population. …”
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  2. 822

    Investigation of the Anti-Lung Cancer Mechanisms of <i>Taraxacum officinale</i> Based on Network Pharmacology and Multidimensional Experimental Validation by Jianing Liu, Hailing Yang, Ran Liu, Dongjin Sun, Yongbao Liu, Jing Lu, Jinbiao Liu, Junrui Lu

    Published 2025-04-01
    “…By integrating drug-specific targets and disease-related targets, a comprehensive dandelion–lung cancer interaction network was established. Protein–protein interaction (PPI) analyses and functional enrichment studies were further performed to uncover potential molecular mechanisms. …”
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  3. 823

    The impact of phthalates on asthma and chronic obstructive pulmonary disease: a comprehensive analysis based on network toxicology and molecular docking by Ren Li, Ren Li, Ren Li, Bingqing Zheng, Bingqing Zheng, Bingqing Zheng, Yuqiong Zhang, Yuqiong Zhang, Yuqiong Zhang, Lu He, Chaomin Ren, Chaomin Ren, Chaomin Ren, Linlin Guan, Linlin Guan, Linlin Guan, Huan Yang, Huan Yang, Huan Yang, Jiayu Tian, Jiayu Tian, Jiayu Tian, Xingyi Chen, Xingyi Chen, Xingyi Chen, Dongxing Shi, Dongxing Shi, Dongxing Shi, Lifang Zhao, Lifang Zhao, Lifang Zhao, Zhihong Zhang, Zhihong Zhang, Zhihong Zhang

    Published 2025-03-01
    “…By integrating information from multiple databases, we identified key target genes linked to these compounds and conducted functional enrichment analyses to elucidate their roles in pathological processes.ResultsOur results demonstrate that these phthalates affect the pathogenesis of asthma and COPD by modulating various target genes, including PTGS2, MMP9, and CASP3, which are involved in essential biological pathways such as apoptosis and immune response. …”
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  4. 824

    Heuristic Optimization-Assisted Dilated Convolution Neural Network With Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

    Published 2024-01-01
    “…In this paper, we introduce a new approach called Adaptive Dilated Convolutional Neural Networks with Gated Recurrent Unit Layer (ADCNN-GRU). …”
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  5. 825

    Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization by Wahid Rajeh, Majed Aborokbah, Manimurugan S., Umar Albalawi, Ahamed Aljuhani, Osama Shibl Abdalghany Younes, Karthikeyan Periyasami

    Published 2025-03-01
    “…Focused on the Tabuk region in Saudi Arabia, the study introduces an IDS model integrating the deep maxout network with walrus optimization (DMN-WO). The DMN is configured with an architecture that includes multiple layers with maxout activation functions. …”
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  6. 826

    Decoding the therapeutic mechanism of Conocarpus lancifolius in hepatocellular carcinoma: network pharmacology, molecular docking, and LC-MS QTOF insights by Poojaben M. Prajapati, Saumya K. Patel, Rakesh M. Rawal, Komal G. Lakhani, Komal G. Lakhani, Rasmieh Hamid, Bharat B. Maitreya

    Published 2025-06-01
    “…A total of 352 phytoconstituents were identified in the extract of Conocarpus lancifolius, of which 154 compounds were chosen for subsequent in silico analysis. Network construction and Gene Ontology (GO) enrichment analysis were performed using ShinyGo and the KEGG database, while Cytoscape 3.10.2 was employed for network visualization and analysis. …”
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    Article
  7. 827

    Effectiveness of interventions for middle-aged and ageing population with neck pain: a systematic review and network meta-analysis protocol by Alison B Rushton, Nicola R Heneghan, Taweewat Wiangkham, Uchukarn Boonyapo, Piyameth Dilokthornsakul, Nattawan Phungwattanakul

    Published 2022-06-01
    “…However, optimal management specifically for those who are middle-aged or older adults (≥45 years) is not available; and important considering our ageing population.Methods and analysis A systematic review with network meta-analysis (NMA) will be conducted following the Cochrane guidelines. …”
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  8. 828

    Identification of key modules and hub genes for sepsis-induced myopathy using weighted gene co-expression network analysis by Siming Lin, Siming Lin, Siming Lin, Kexin Cai, Kexin Cai, Kexin Cai, Ai Chen, Weibin Wu, Guili Lian, Shaodan Feng, Shaodan Feng, Zhihong Lin, Zhihong Lin, Liangdi Xie, Liangdi Xie, Liangdi Xie, Liangdi Xie, Liangdi Xie

    Published 2025-07-01
    “…Additionally, we performed functional enrichment analyses using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) network approaches.ResultsOur findings revealed that the identified gene clusters predominantly pertained to immune response, inflammation, and apoptosis pathways. …”
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  9. 829
  10. 830

    Genome-wide identification of the regulatory network of mitogen-activated protein kinase signaling cascades gene families in Hevea Brasiliensis by Xiaojuan Huang, Manman Sun, Xiaoyu Du, Lin Quan, Jinquan Chao, Xiaomin Deng, Hongze Liao

    Published 2025-05-01
    “…Integrating the interaction network and gene expression patterns, 12 potential HbMPK cascade signaling modules including HbMPKKK6/41/79-HbMPKK1-HbMPK9/12/15 and HbMPKKK6/14/21/41/79-HbMPKK9-HbMPK9/15 might involve in NR production and stress responses. …”
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  11. 831

    Cross-Project Multiclass Classification of EARS-Based Functional Requirements Utilizing Natural Language Processing, Machine Learning, and Deep Learning by Touseef Tahir, Hamid Jahankhani, Kinza Tasleem, Bilal Hassan

    Published 2025-07-01
    “…A series of Machine learning (ML) and deep learning (DL) experiments were conducted to classify subcategories of functional requirements. …”
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    Article
  12. 832

    Classification of female MDD patients with and without suicidal ideation using resting-state functional magnetic resonance imaging and machine learning by Morteza Fattahi, Milad Esmaeil-Zadeh, Hamid Soltanian-Zadeh, Hamid Soltanian-Zadeh, Hamid Soltanian-Zadeh, Reza Rostami, Jamil Mansouri, Gholam-Ali Hossein-Zadeh, Gholam-Ali Hossein-Zadeh

    Published 2025-01-01
    “…Spontaneous blood oxygen level-dependent signals can be indirectly recorded in different brain regions with functional magnetic resonance imaging. In this study resting-state functional magnetic resonance imaging was used to measure the differences in connectivity and activation seen in major depressive disorder (MDD) patients with and without suicidal ideation and the control group. …”
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  13. 833
  14. 834

    Functional connectivity across multi-frequency bands in patients with tension-type headache: a resting-state fMRI retrospective study by Jili Wang, Hongjie Shen, Qinyan Xu, Shuxian Zhang, Tian Li, Yun Zheng

    Published 2025-05-01
    “…This study aimed to examine abnormal network-level brain functional connectivity (FC) alterations in patients with TTH across multi-frequency bands. …”
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  15. 835

    Spontaneous neural activity alterations in medication-naïve primary blepharospasm: a resting-state functional magnetic resonance imaging study by Hua-Liang Li, Shu Wang, Xin-Xin Yao, Si-Yu Gu, Jian-Bin Hu, Ping-Lei Pan, Ping-Lei Pan

    Published 2025-07-01
    “…BackgroundBrain functional reorganization in primary blepharospasm (BSP) remains incompletely understood. …”
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  16. 836
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  18. 838

    Genome-wide identification of five fern bHLH families and functional analysis of bHLHs in lignin biosynthesis in Alsophila spinulosa by Xiong Huang, Jiangtao Fan, Cai Liu, Peiyun Wang, Hongfei Li, Gang Wang, Xiaohong Chen

    Published 2025-04-01
    “…Investigating the genes potentially regulating lignin biosynthesis in A. spinulosa offers valuable insights into the growth and development mechanisms of its trunk, which is pivotal for the overall architecture and function of the plant. Results In this study, we conducted a systematic study of bHLH gene families in five ferns, including 186 in A. spinulosa, 130 in A. capillus, 107 in A. filiculoides, 71 in S. cucullata, and 67 in C. richardii. …”
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  19. 839

    MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network by Wenjie Guo, Wenbiao Du, Xiuqi Yang, Jingfeng Xue, Yong Wang, Weijie Han, Jingjing Hu

    Published 2025-01-01
    “…Subsequently, this work designs a hierarchical graph neural network that integrates attention mechanisms and pooling operations, complemented by function node sampling and structural learning strategies. …”
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  20. 840