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  1. 1341

    Sociological Analysis of Transformations in the Family Structure in Iran over the Past Five Decades (1966-2016) and Prediction of Its Future Trends by Mohammad Taghi Sabzehei, Milad Bagi, Mohammad Mobaraki, Javad Afsharkohan

    Published 2024-12-01
    “…Materials and MethodsThis study employed a mixed-methods approach, integrating both quantitative and qualitative analyses to investigate transformations in the family structure in Iran over the past five decades (1966-2016). …”
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  2. 1342
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  4. 1344

    Evaluation of Chat Generative Pre-trained Transformer and Microsoft Copilot Performance on the American Society of Surgery of the Hand Self-Assessment Examinations by Taylor R. Rakauskas, BS, Antonio Da Costa, BS, Camberly Moriconi, BS, Gurnoor Gill, BA, Jeffrey W. Kwong, MD MS, Nicolas Lee, MD

    Published 2025-01-01
    “…Purpose: Artificial intelligence advancements have the potential to transform medical education and patient care. The increasing popularity of large language models has raised important questions regarding their accuracy and agreement with human users. …”
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  5. 1345

    Myocardial revascularization effects on vascular endothelial growth factor and transforming growth factor β-1 in coronary heart disease patients by I. V. Sergienko, A. E. Semenova, V. P. Masenko, L. I. Habibullina, S. A. Gabrusenko, V. V. Kukharchuk, Yu. N. Belenkov

    Published 2007-10-01
    “…To assess the dynamics of vascular endothelial growth factor (VEGF), transforming growth factor-beta (TGF- 1) and VEGF receptor Flt-1 (sFlt-1 or sVEGF-R1) levels in coronary heart disease (CHD) patients before and after myocardial revascularization. …”
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  6. 1346
  7. 1347

    Attenuated immune surveillance during squamous cell transformation of pancreatic adenosquamous cancer defines new therapeutic opportunity for cancer interception by Jie Chen, Xianlong Chen, Xinyuan Chen, Shanyue Sun, Shuofeng Li, Shuangni Yu

    Published 2025-06-01
    “…Therefore, this study aims to analyze the immune landscape of PASC by employing multiplex immunohistochemistry (mIHC) and digital image analysis.Methods In this study, we analyzed four independent cohorts comprising 120 patients with PASC and 386 patients with PDAC. …”
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  8. 1348

    Monitoring and Suppression Strategies of the Interharmonic in the Grid-Connected Photovoltaic System: A Review by Mingxuan Mao, Yuhao Tang, Jiahan Chen, Zhao Xu, Haojin Sun, Chengqi Yin

    Published 2025-06-01
    “…Through the analysis of the advantages and disadvantages of various interharmonic monitoring methods and suppression strategies, guidance can be provided for the selection of interharmonic monitoring methods and suppression strategies in different scenarios.…”
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  9. 1349

    Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

    Published 2025-07-01
    “…To ensure that shield tunneling closely aligns with the designed alignment and to improve engineering construction quality, this study proposes a novel shield attitude prediction model, called WM-CTA, based on deep learning technology. [Methods] The WM-CTA model primarily consists of two frameworks: a data preprocessing module (Wavelet Transform and Maximum Information Coefficient) and a prediction module (Convolutional Neural Network and Attention Mechanism). …”
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  10. 1350

    Method of load balancing for computer cluster of data processing center by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

    Published 2023-01-01
    “…The process of identifying significant harmonics of the spectrum is based on the study of its spectral power density using the Fourier transform. The developed method is able to provide a solution to the problem of efficient planning and distribution of tasks in a data center computing cluster in order to optimize the use of resources, speed up task execution time and reduce application processing costs.…”
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    Article
  11. 1351

    METHOD OF LOAD BALANCING FOR COMPUTER CLUSTER OF DATA PROCESSING CENTER by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

    Published 2023-01-01
    “…The process of identifying significant harmonics of the spectrum is based on the study of its spectral power density using the Fourier transform. The developed method is able to provide a solution to the problem of efficient planning and distribution of tasks in a data center computing cluster in order to optimize the use of resources, speed up task execution time and reduce application processing costs.…”
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    Article
  12. 1352

    Gamma Irradiation for Agrifood: Non-Destructive Approaches to Study the Secondary Effects Produced in Italian Wheat Matrices by Rocco Carcione, Leonardo Lanzetta, Beatrice D’Orsi, Ilaria Di Sarcina, Emiliana Mansi, Jessica Scifo, Alessia Cemmi

    Published 2025-05-01
    “…These approaches can be extended in the development of screening methods for a wide range of polysaccharides in a variety of crops.…”
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  13. 1353
  14. 1354

    Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect by Yang Ya, Tao Hongyan, Yu Chengbo

    Published 2018-01-01
    “…The obtained key points are iteratively sorted,and the RANSAC( Random sample consensus) algorithm is used to extract the matching points for two times. The gray difference algorithm is used to extract the defective region after the matrix transformation registration,using the Otsu threshold method to segment the image and the characteristics of defect area domain are analyzed,which uses the Otsu threshold method to segment the image. …”
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  15. 1355

    Research on bearing fault diagnosis based on a multimodal method by Hao Chen, Shengjie Li, Xi Lu, Qiong Zhang, Jixining Zhu, Jiaxin Lu

    Published 2024-12-01
    “…To address this challenge, this paper introduces a novel multi-scale time-frequency and statistical features fusion model (MTSF-FM). Specifically, the method first employs continuous wavelet transform to generate time-frequency images, capturing local and global features of the signal at different scales. …”
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  16. 1356

    A Comprehensive Comparative Analysis of Deep Learning Models for Student Performance Prediction in Virtual Learning Environments: Leveraging the OULA Dataset and Advanced Resamplin... by Bayan A. Alnasyan, Mohammed Basheri, Madini O. Alassafi

    Published 2025-01-01
    “…This study evaluates the performance of several Deep Learning (DL) models for tabular data, including ResNet, NODE, AutoInt, TabNet, TabTransformer (TT), SAINT, and GatedTabTransformer (GTT). …”
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  17. 1357

    Fault detection method for distribution network based on edge computing by YANG Hao, ZHAO Huan, XUE Rong, YU Yubin, WEI Enwei, HUANG Bing

    Published 2025-01-01
    “…Based on the edge side, combined with multi-dimensional S-transform fusion algorithm and phase modulus transformation matrix method, the relevant fault features of distribution network are extracted. …”
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  18. 1358

    Mediated Transformation of Tamarillo (<i>Solanum betaceum</i>) Callus Cell Suspension Cultures: A Novel Platform for Biotechnological Applications by Ricardo Ferraz, Bruno Casimiro, Daniela Cordeiro, Jorge Canhoto, Sandra Correia

    Published 2025-03-01
    “…This study presents a simple method for <i>Agrobacterium</i>-mediated transformation of these cells and demonstrates the successful insertion of the β-glucuronidase gene (<i>gusA</i>) and the yellow fluorescent protein gene (<i>eyfp</i>) in their genome. …”
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  19. 1359

    Assessing the impact of development institutions in the Russian Far East by Georgiy A. Borshchevskiy

    Published 2025-07-01
    “…The data sets were transformed using the principal component analysis; the difference-in-differences method was applied to assess the outcome produced by the development institutions. …”
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  20. 1360

    A multimodal differential privacy framework based on fusion representation learning by Chaoxin Cai, Yingpeng Sang, Hui Tian

    Published 2022-12-01
    “…The former is based on Binary Encoding, and the latter is based on multi-dimensional Fourier Transform. To the best of our knowledge, we are the first to propose LDP-based methods for the representation learning of multimodal fusion. …”
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