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  1. 981

    Exploring the Association Between Human Blood Metabolites and Autism Spectrum Disorder Risk: A Bidirectional Mendelian Randomization Study by Wenhua Li, Suya Ma, Yunong Tian

    Published 2025-03-01
    “…Additionally, metabolic pathway and network pharmacology analyses were conducted to explore potential mechanisms. …”
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  2. 982

    Decoding the Tissue-Specific Profiles of Bioactive Compounds in <i>Helvella leucopus</i> Using Combined Transcriptomic and Metabolomic Approaches by Qian Zhou, Xusheng Gao, Junxia Ma, Haoran Zhao, Dan Gao, Huixin Zhao

    Published 2025-03-01
    “…Pathway enrichment analysis highlighted tissue-specific metabolic pathways, including riboflavin metabolism, pantothenate and CoA biosynthesis, and terpenoid backbone biosynthesis, as key contributors to the unique functional properties of the cap and stipe. A detailed biosynthetic pathway network further illustrated how these pathways contribute to the production of crucial bioactive and nutritional compounds, such as sterols, alkaloids, linoleic acid derivatives, glycerophospholipids, and amino acids, in each tissue. …”
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  3. 983

    Computational nanobody design through deep generative modeling and epitope landscape profiling by Liyun Huo, Tian Tian, Yanqin Xu, Qin Qin, Xinyi Jiang, Qiang Huang

    Published 2025-01-01
    “…The nanobody-enriched epitopes showed strong overlap with known functional regions, suggesting potential biological activity. …”
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  4. 984

    Computational Neuroscience’s Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate by Victoria Bamicha, Pantelis Pergantis, Charalabos Skianis, Athanasios Drigas

    Published 2025-06-01
    “…Neurotransmitters play a crucial role in the function of brain cells, enhancing synaptic conduction and signal transmission. …”
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    Article
  5. 985

    Implementation of MF block in CNN for advanced REB fault diagnosis by M. Pandiyan, Narendiranath Babu T.

    Published 2025-05-01
    “…Using the Balance Cross-Entropy (BCE) loss function for training has helped the model optimize prediction accuracy by minimizing the difference between the actual class and the predicted class probabilities. …”
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  6. 986

    Expression profiles and bioinformatic analysis of circular RNA in rheumatic heart disease: potential hsa_circ_0001490 and hsa_circ_0001296 as a diagnostic biomarker by Xiaoliang Chen, Lina Chen, Li Bi, Shunying Zhao, Xiaoyan Hu, Ni Li, Linwen Zhu, Guofeng Shao

    Published 2025-08-01
    “…Bioinformatics analysis was used to predict the target miRNA and analyze the co-expressed mRNA to construct a circRNA–miRNA-mRNA regulatory network. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to predict the potential functions of the differentially expressed genes and RHD-related pathways.ResultsFour circRNAs were selected from circRNA microarray data. qRT-PCR confirmed that hsa_circ_0001490 and hsa_circ_0001296 were significantly upregulated in RHD plasma (4.28-fold, P &lt; 0.001; 5.24-fold, P &lt; 0.001, respectively). …”
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  7. 987

    Identification of potential druggable targets for endometriosis through Mendelian randomization analysis by Peng Chen, Xin Wei, Xiao-Ke Li, Yi-Hang Zhou, Yi-Hang Zhou, Qi-Fang Liu, Ling Ou-Yang

    Published 2025-01-01
    “…We applied a range of validation techniques, including reverse causality detection, phenotype scanning, Bayesian co-localization (BC) analysis, and external validations to substantiate our findings. Additionally, we conducted a protein-protein interaction (PPI) network as well as functional enrichment analyses to unveil potential associations among target proteins.ResultsMR analysis revealed that a decrease of one standard deviation (SD) in plasma R-Spondin 3 (RSPO3) level had a protective effect on EM (OR = 1.0029; 95% confidence interval (95% CI): 1.0015–1.0043; P = 3.2567e-05; Bonferroni P &lt; 5.63 × 10−5). …”
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  8. 988

    Exploring the mechanism of Bu Zhong Yi Qi Tang in the treatment of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) based on network pharmacology and molecular docking by Pengfei Zhou, Yang Xuan, Zaisheng Zhu, Han Wu, Yang Hu, Liangyou Chen, Qianya Zhou

    Published 2025-03-01
    “…Overlapping targets between BZYQT and CP/CPPS were analyzed using the STRING database to construct a protein-protein interaction (PPI) network. Key targets were further subjected to Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. …”
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    Article
  9. 989

    Activity and mechanism of naringin in the treatment of post-infectious cough by Yinghan Chen, Dong Wang, Meng Song, Weiqi Pan, Wenda Guan, Zifeng Yang, Shan Zhong

    Published 2025-07-01
    “…PPI (Protein–Protein Interaction) networks for disease-related targets were constructed using STRING and Cytoscape 3.10.1. …”
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  10. 990

    Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation Distric... by Mariana Akemi Ikegawa Bernabé, Miguel Crespo Chacón, Juan Antonio Rodríguez Díaz, Pilar Montesinos, Jorge García Morillo

    Published 2025-06-01
    “…This study assesses the use of PATs in pressurised irrigation networks for recovering wasted hydraulic energy, employing the particle swarm optimisation (PSO) algorithm for PAT sizing based on two single-objective functions. …”
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  11. 991

    NDAWL-PINN: a new non-dimensionalization and multi-task learning approach for efficient training of physics-informed neural networks to solve the shallow water equations by Xin Qi, Dawei Zhang, Fan Wang, Wuxia Bi, Mingda Lu

    Published 2025-12-01
    “…Furthermore, a comparative analysis is conducted between the solutions obtained using NDAWL-PINN and those from the original PINN, which relies on manual fine-tuning of loss functions. …”
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  12. 992

    A Federated Learning-Based Framework for Accurately Identifying Human Activity in the Environment by Nwadher Suliman Al-Blihed, Dina M. Ibrahim

    Published 2025-01-01
    “…The deep learning models used were Convolutional Neural Network (CNN), Residual Network (ResNet), and Long Short-Term Memory (LSTM), and the performance measures used to evaluate these FL models were the Loss function and Accuracy. …”
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  13. 993

    Glutamate-bound NMDARs arising from in vivo-like network activity extend spatio-temporal integration in a L5 cortical pyramidal cell model. by Matteo Farinella, Daniel T Ruedt, Padraig Gleeson, Frederic Lanore, R Angus Silver

    Published 2014-04-01
    “…These effects were also observed in a passive model where all the non-synaptic voltage-gated conductances were removed. Our results show that glutamate-bound NMDA receptors arising from ongoing network activity can provide a powerful spatially distributed nonlinear dendritic conductance. …”
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  14. 994

    Sarcopenia diagnosis using skeleton-based gait sequence and foot-pressure image datasets by Muhammad Tahir Naseem, Na-Hyun Kim, Haneol Seo, JaeMok Lee, Chul-Min Chung, Sunghoon Shin, Chan-Su Lee

    Published 2024-11-01
    “…Second, we performed experiments on the foot-pressure dataset using the ResNet-18 and spatiotemporal graph convolutional network (ST-GCN) models on the skeleton dataset to classify normal and abnormal gaits due to sarcopenia. …”
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  15. 995

    Comparative Analysis of Short-Term and Long-Term Clinical Efficacy of Mesenchymal Stem Cells from Different Sources in Knee Osteoarthritis: A Network Meta-Analysis by Qi Xin Ding, Xu Wang, Tian Shu Li, Yue Fang Li, Wan Yue Li, Jia Huan Gao, Yu Rong Liu, WeiSheng Zhuang

    Published 2024-01-01
    “…The results of the network meta-analysis showed the following: short-term functional improvement (the indexes were evaluated after 6 months of follow-up) (WOMAC total score: bone marrow-derived MSC (BMMSC) vs. adipose-derived MSC (ADMSC) (mean difference (MD) = −20.12, 95% confidence interval (CI) −125.24 to 42.88), umbilical cord-derived MSC (UCMSC) (MD = −7.81, 95% CI −158.13 to 74.99); WOMAC stiffness: BMMSC vs. …”
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    Association patterns of work-family balance, perceived stress and turnover intentions among female medical workers in China (2022–2023): integration network and pathway analysis by Yin Lin, Jia li

    Published 2025-06-01
    “…A network analysis and path analysis of the data were conducted through R software and the PROCESS macro in SPSS. …”
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