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  1. 181

    Efficient Image Super-Resolution Using Dynamic Quality Control With Recursive Model Structures by Inho Lee, Jaemin Park, Seunghwan Lee, Tae Hyun Kim, Jiwon Seo, Hunjun Lee, Yongjun Park

    Published 2025-01-01
    “…Therefore, we propose an efficient dynamic quality control SR (DQC-SR) system that can dynamically adjust the inference rate according to the number of ROIs by introducing recursive and early-exit architectures into the baseline SR network. …”
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  4. 184

    Integration of Dynamical Network Biomarkers, Control Theory and <i>Drosophila</i> Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome by Kazutaka Akagi, Ying-Jie Jin, Keiichi Koizumi, Makito Oku, Kaisei Ito, Xun Shen, Jun-ichi Imura, Kazuyuki Aihara, Shigeru Saito

    Published 2025-03-01
    “…Metabolic syndrome (MetS) is a subclinical disease, resulting in increased risk of type 2 diabetes (T2D), cardiovascular diseases, cancer, and mortality. Dynamical network biomarkers (DNB) theory has been developed to provide early-warning signals of the disease state during a preclinical stage. …”
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  5. 185

    Integrative network pharmacology and experimental validation reveal emodin derivatives as potential therapeutics for hepatocellular carcinoma by Wirawan Adikusuma, Firdayani Firdayani, Siska Andrina Kusumastuti, Nuralih Nuralih, Shelvi Listiana, Ayu Masyita, Lalu Muhammad Irham, Siti Hodijah, Suci Zulaikha Hildayani, Eko Mugiyanto

    Published 2025-07-01
    “…Method This study used an integrated approach combining in silico network pharmacology, molecular docking, molecular dynamics simulations (MDS), and in vitro cytotoxicity assays to evaluate three emodin derivatives: emodin, 3-acetyl emodin (ACE), and 1,3,8-triacetyl emodin (TAEM). …”
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  6. 186

    Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns by Linnea Hoheisel, Linnea Hoheisel, Hannah Hacker, Gereon R Fink, Gereon R Fink, Silvia Daun, Silvia Daun, Joseph Kambeitz, Joseph Kambeitz

    Published 2025-07-01
    “…By modelling both sFC and dFC, we provide new evidence of the role of neurophysiological characteristics in establishing brain network configurations.…”
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  7. 187

    Dynamic reconfiguration of the distribution systems with Load Duration Curve (LDC) model for reducing the losses and improving the voltage profile by Sana Sadeghi, Alireza Jahangiri, Ahmad Ghaderi Shamim

    Published 2024-05-01
    “…Unlike traditional methods that rely on real-time or hourly load models, this approach utilizes a load model to address the dynamic reconfiguration problem. Simulations were conducted on the well-established IEEE 33-bus test system, employing MATLAB software in conjunction with a genetic algorithm to minimize losses and optimize voltage profiles. …”
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  8. 188

    DGL-STFA: Predicting lithium-ion battery health with dynamic graph learning and spatial–temporal fusion attention by Zheng Chen, Quan Qian

    Published 2025-01-01
    “…The framework employs multi-scale convolutional neural networks to capture diverse temporal patterns, a self-attention mechanism to construct dynamic adjacency matrices that adapt over time, and a temporal attention mechanism to identify and prioritize key moments that influence battery degradation. …”
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  9. 189

    Altered static and dynamic functional connectivity in major depressive disorder accompanied by high anxiety: evidence from the REST-meta-MDD consortium by Lujun Li, Zhijun Zeng, Yaling Zhou, Jinfei Lin, Jiayuan Li

    Published 2025-06-01
    “…Large-scale static and dynamic functional connectivity analyses were conducted to identify specific brain connectivity distinguishing MDD with low and high anxiety symptoms.ResultsWhile MDD patients with high and low anxiety symptoms exhibit overlapping alterations in dynamic functional connectivity between the auditory cortex and nodes of the salience network, their distinct clinical profiles may be associated with differential functional connectivity patterns between the components of the default mode network (DMN) and the visual network (VN), as well as between the components of the basal ganglia network (BGN) and VN.ConclusionThe VN–DMN–BGN functional circuit may help elucidate the underlying pathological mechanisms associated with varying levels of anxiety in depressive disorders. …”
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  10. 190

    SC-Route: A Scalable Cross-Layer Secure Routing Method for Multi-Hop Inter-Domain Wireless Networks by Yanbing Li, Yang Zhu, Shangpeng Wang

    Published 2025-05-01
    “…Experimental evaluations conducted on four datasets with varying network scales demonstrate the superior performance of the proposed method. …”
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  11. 191

    Breakthrough Conductivity Enhancement in Deep Eutectic Solvents via Grotthuss‐Type Proton Transport by Desiree Mae Prado, Alan Robledo, Katherine Hightower, Anthony Jahng, Brian Doherty, Kayla Poling, Mark Tuckerman, Clemens Burda

    Published 2024-12-01
    “…The achieved breakthrough conductivity is analyzed experimentally and simulated with ab initio molecular dynamics (AIMD). …”
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  12. 192

    Microbial community dynamics in shallow-water grass-type lakes: Habitat succession of microbial ecological assembly and coexistence mechanisms by Chen Feng, Junping Lu, Tingxi Liu, Xiaohong Shi, Shengnan Zhao, Chunjian Lv, Yujiao Shi, Zixuan Zhang, Yuqi Jin, Jiaqi Pang, Aojie Sun

    Published 2025-02-01
    “…Second-generation DNA sequencing was applied to reveal the spatial dynamics of the bacterial community structure and distribution across two environmental media in this nutrient-rich shallow grassland lake and to elucidate the characteristics of the co-occurrence network. …”
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  13. 193

    Effects of high-intensity interval training and moderate-intensity continuous training on mitochondrial dynamics in human skeletal muscle by Yuqing Li, Yuqing Li, Yuqing Li, Wanjun Zhao, Qi Yang

    Published 2025-04-01
    “…In conclusion, HIIT and MICT induce distinct mitochondrial adaptation in skeletal muscle, reflected in different network remodeling and molecular pathways. These findings may be due to HIIT’s more pronounced effect on mitochondrial dynamics or respiratory function, but the study has only conducted preliminary observational experiments and further evidence is required for confirmation.…”
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  14. 194

    Study on dynamic resilient modulus prediction model of subgrade fine-grained soil based on physical property parameters by Fang Guo, Wei Gu

    Published 2025-05-01
    “…Abstract This study took a representative subgrade fine-grained soil of a highway as the research object, prepared specimens with different water content and compaction degrees, and investigated the effects of water content, dry density, plasticity index, dynamic bias stress and circumferential pressure on the dynamic resilient modulus M r by dynamic triaxial test. …”
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  15. 195

    Deciphering the dynamic expression network of fiber elongation and the functional role of the GhTUB5 gene for fiber length in cotton based on an introgression population of upland... by Jianjiang Ma, Liupeng Yang, Yuanyue Dang, Kashif Shahzad, Jikun Song, Bing Jia, Li Wang, Juanjuan Feng, Nuohan Wang, Wenfeng Pei, Man Wu, Xuexian Zhang, Jinfa Zhang, Jianyong Wu, Jiwen Yu

    Published 2025-07-01
    “…Introduction: Interspecific introgression between Gossypium hirsutum and G. barbadense allows breeding cotton with outstanding fiber length (FL). However, the dynamic gene regulatory network of FL-related genes has not been characterized, and the functional mechanism through which the hub gene GhTUB5 mediates fiber elongation has yet to be determined. …”
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    Combining Network Pharmacology, Molecular Docking, Molecular Dynamics Simulation, and Experimental Validation to Uncover the Efficacy and Mechanisms of Si-Miao-Yong-An Decoction in... by Zhang S, Shao Y, Jin R, Ma B

    Published 2025-03-01
    “…These findings provide robust evidence for SMYA’s therapeutic potential and lay a foundation for its future clinical application in treating diabetic wounds.Keywords: Si-Miao-Yong-An decoction, diabetic wound, network pharmacology, molecular docking, molecular dynamics simulation, inflammation…”
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  19. 199

    Aspartame increases the risk of liver cancer through CASP1 protein: A comprehensive network analysis insights by Ni-ren Li, Yi-xuan Zeng, Yu-feng Gu, Pai Xie, Bing-ying Deng, Si-fan Lu, Wang-an Li, Yi Liu

    Published 2025-04-01
    “…This study aims to systematically explore the carcinogenic potential and mechanisms of aspartame on the liver through a comprehensive analysis based on network toxicology, mendelian randomization, molecular dynamics and single-cell RNA sequencing. …”
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