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  1. 921
  2. 922

    Transcriptional and post-transcriptional regulation of CARMN and its anti-tumor function in cervical cancer through autophagic flux blockade and MAPK cascade inhibition by Xing Zhang, Wenjing Yan, Hua Jin, Bingjia Yu, Hao Zhang, Bo Ding, Xue Chen, Yan Zhang, Qianqian Xia, Dan Meng, Jing Hu, Haohan Liu, Yamei Nie, Fengying Liu, Yun Zheng, Yiran Lu, Juan Wang, Mulong Du, Meilin Wang, Evan Yi-Wen Yu, Xiuting Li, Shizhi Wang

    Published 2024-11-01
    “…However, research on genome-wide lncRNA alterations and their functions in cervical cancer (CC) is limited. This study aims to explore key lncRNAs in CC progression and uncover the molecular mechanisms involved in the development of CC. …”
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    Article
  3. 923

    Comparison of Therapeutic Effects of Different Rehabilitation Methods on Patients Undergoing Total Knee Arthroplasty: A Network Meta‐Analysis of Randomized Controlled Trials by Zhaokai Jin, Yi Tang, Hua Huang, Lei Chen, Zhongyi Zhang, Tianyou Ma, Zhengming Wang, Hai Su, Haojing Zhou, Shuaijie Lv, Peijian Tong

    Published 2025-02-01
    “…And use the range of motion (ROM), visual analog scale (VAS), Western Ontario and McMaster Universities osteoarthritis index (WOMAC) as the outcome measure to evaluate the effectiveness of various interventions. A Bayesian network meta‐analysis (NMA) was carried out for calculating standardized mean difference (SMD) and the surface under cumulative ranking curve (SUCRA) of improvement of knee joint function after TKA by different rehabilitation methods. …”
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    Article
  4. 924

    The Impact of Rock Morphology on Gas Dispersion in Underground Hydrogen Storage by Tri Pham, Rouhi Farajzadeh, Quoc P. Nguyen

    Published 2025-07-01
    “…To address this gap, this study employs pore network modeling (PNM) to investigate the influence of sandstone and carbonate structures on fluid flow properties at the micro-scale. …”
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  5. 925
  6. 926

    Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

    Published 2022-04-01
    “…In the course of the study, the data that affect the quality of the solution of the problem was analyzed, the general modular structure of the system was proposed, and the main data flows entering the input of an artificial neural network (ANN) were described. To solve the problem of choosing the complexity of a question, it is proposed to use a feed-forward network, a comparison of various ANN architectures and training parameters (weight update algorithms, loss functions, number of training epochs, packet sizes) is carried out. …”
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  7. 927

    Evaluation Method of Mesh Protocol over ESP32 and ESP8266 by Nur Azzurin Afifie, Adam Wong Yoon Khang, Abd Shukur Bin Ja'afar, Ahmad Fairuz Bin Muhammad Amin, Jamil Abedalrahim Jamil Alsayaydehahmad, Win Adiyansyah Indra, Safarudin Gazali Herawan, Arnidza Binti Ramli

    Published 2021-12-01
    “…The research conducted in this paper is to build a mesh network using NodeMCU ESP 8266 and NodeMCU ESP 32 with two types of sensor, DHT 11 and DHT 22. …”
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    Article
  8. 928

    Pomolic acid induces ferroptosis-mediated cell death in non-small cell lung cancer by Wenbin Ji, Wenbin Ji, Yanbin Zhang, Yanbin Zhang, Wenhao Ji, Hui Zhang, Biao Qin, Biao Qin, Xiao-Liang Xing, Xiao-Liang Xing, Zaiqi Zhang, Zaiqi Zhang

    Published 2025-06-01
    “…This study aimed to identify the core targets of PA and explore its function and potential mechanisms in NSCLC.MethodsNetwork pharmacological analysis was utilized to identify the core targets of PA. …”
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  9. 929

    A trade-off between line hardening and dynamic line rating by a new convex optimization model for resilient micro-grid-oriented expansion planning of reconfigurable smart distribut... by Saeed Behzadi, Amir Bagheri

    Published 2025-07-01
    “…Because of budget and right-of-way limitations, smart-grid technologies (SGTs) are widely incorporated in today’s distribution systems in order to satisfy the load demand growth and meet the network’s operational and reinforcement planning requirements. …”
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    Article
  10. 930

    Mitotherapy attenuates sepsis-induced brain injury in rats subjected to cecal ligation and puncture: Role of SIRT-1/PGC-1α network by Behnaz Mokhtari, Alireza Alihemmati, Soleyman Bafadam, Solmaz Boraghi, Reza Badalzadeh, Ata Mahmoodpoor

    Published 2025-08-01
    “…Brain morphological examination was conducted using Hematoxylin and Eosin staining. Mitochondrial function was measured by evaluating membrane potential, reactive oxygen species production, and adenosine triphosphate content. …”
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  11. 931
  12. 932

    Neural Network and Generalized Extended State Observer Sliding Mode Control of Hydraulic Cylinder Position in the Independent Metering Control System with Digital Valves by Xiangfei Tao, Kailei Liu, Jing Yang

    Published 2025-04-01
    “…In addition, a radial basis function (RBF) neural network is constructed to approximate uncertainties arising from the modeling process, the accuracy error indicator uses Mean Absolute Error (MAE), and a finite time generalized extended state observer (GESO) is introduced to conduct online disturbance observation for the external disturbances present within the control system. …”
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  13. 933

    A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment by Jinyin Bai, Wei Zhu, Shuhong Liu, Chenhao Ye, Peng Zheng, Xiangchen Wang

    Published 2025-02-01
    “…To address these issues, this paper proposes a combined prediction model based on an improved temporal convolutional network (TCN) and bidirectional long short-term memory (BiLSTM), referred to as the TCN-BiLSTM model. …”
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  14. 934

    Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data by Zhi He, Chengle Zhou, Liwei Zou, Suhong Zhou, Xueqiang Zhao

    Published 2025-08-01
    “…This paper proposes a siamese text classification network (SiamTCN) for multi-class multi-label information extraction from typhoon disasters based on Sina Weibo data. …”
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  15. 935

    A network analysis of gene co-expression in post-mortem brain tissues identifying novel genes and biological pathways underlying major depression by Miaomiao Yan, Man Chen, Qin Jiang, Huilan Huang, Yigao Wu

    Published 2025-07-01
    “…Module genes are employed for gene function enrichment analysis.Enriched genes in biological pathways are used to construct the gene regulatory network, and the genes with the highest connectivity are classified as hub genes.ResultsDEGs related to MDD, BD, or SZ were screened. …”
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  16. 936
  17. 937

    Developing a ceRNA-based lncRNA-miRNA-mRNA regulatory network to uncover roles in skeletal muscle development by Wang Wenlun, Wang Wenlun, Yu Chaohang, Huang Yan, Li Wenbin, Zhou Nanqing, Hu Qianmin, Wu Shengcai, Yuan Qing, Yu Shirui, Zhang Feng, Zhu Lingyun

    Published 2025-01-01
    “…Based on the ceRNA theory, we constructed and visualized the lncRNA-miRNA-mRNA regulatory network using ggalluvial among other R packages. GO, Reactome, KEGG, and GSEA explored interactions in muscle development and regeneration. …”
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    Article
  18. 938

    LeafDPN: An Improved DPN Model for the Identification of Bacterial Blight in Soybean in Natural Environments by Rui Cong, Ying Xu, Hao Su, Jiaying Zhou, Yuxi Hu, Dawei Xin, Qingshan Chen, Rongsheng Zhu, Shuang Song

    Published 2024-12-01
    “…To overcome these challenges, we propose LeafDPN, an improved Dual-Path Network model enhanced with Vision Transformer blocks in the forward propagation function and SE blocks in the ConvBNLayer. …”
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    Article
  19. 939

    Neuroimaging studies of acupuncture for depressive disorder: a systematic review of published papers from 2014 to 2024 by Dezhi Lin, Qiang Ren, Yangxu Ou, Longlong Li, Dezhong Peng, Sha Yang

    Published 2025-05-01
    “…The neuroimaging results of most DD patients were correlated with the Hamilton Rating Scale for Depression scores.ConclusionsThe results of the current study indicate that acupuncture treatment may have a regulatory effect on the abnormal functioning of neural regions and networks in individuals diagnosed with DD. …”
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  20. 940

    ENHANCEMENT OF SENSOR PANEL TACTILE TOUCH INTERFACE by Oleksandr Karpin, Zinovii Liubun, Vasyl Mandziy, Oleh Tereshchuk, Nestor Hotsiy

    Published 2025-03-01
    “…To address the classification task, an algorithm has been proposed for the identification of signal characteristics upon which recognition will be conducted. The algorithm is based on a neural network architecture, which is trained on a dataset of signals collected from a touch-sensitive button. …”
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