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  1. 2721

    Identification of Diagnostically Relevant Biomarkers in Patients with Coronary Artery Disease by Comprehensive Analysis by Wu Z, Mo S, Huang Z, Zheng B

    Published 2024-12-01
    “…Not only are they minimally invasive and early detection, but they can also be used for classification and diagnosis of disease as well as prognostic assessment. …”
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    Article
  2. 2722

    Research on Pork Cut and Freshness Determination Method Based on Computer Vision by Shihao Song, Qiqi Guo, Xiaosa Duan, Xiaojing Shi, Zhenyu Liu

    Published 2024-12-01
    “…To improve the precision and efficiency of pork quality assessment, an automated detection method based on computer vision technology is proposed for evaluating different parts and freshness of pork. …”
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    Article
  3. 2723

    Estimation of econometric indicators on the basis of the regression analysis (on the example of food consumption by the population of the Arkhangelsk region) by S. A. Kochkin

    Published 2016-10-01
    “…The purpose of this research is detection of characteristic features and regularities in food consumption by the population of the Arkhangelsk region on the basis of statistical estimation of such econometric indicators as the growth rate of food expenditures with change of the income of households of this population, and also income elasticity of expenditures and income elasticity of a share of food expenditures. …”
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    Article
  4. 2724
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  7. 2727

    Research on Enhanced Dynamic Pig Counting Based on YOLOv8n and Deep SORT by Peng Shen, Keyu Mei, Haori Xue, Tenglong Li, Guoqing Zhang, Yongxiang Zhao, Wei Luo, Liang Mao

    Published 2025-04-01
    “…Currently, manual counting is inefficient, costly, and unsuitable for systematic analysis. However, research on dynamic pig counting encounters challenges, including inadequate detection accuracy stemming from crowding, occlusion, deformation, and low-light conditions. …”
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    Article
  8. 2728

    Advancement in Graph Neural Networks for EEG Signal Analysis and Application: A Review by S. M. Atoar Rahman, Md Ibrahim Khalil, Hui Zhou, Yu Guo, Ziyun Ding, Xin Gao, Dingguo Zhang

    Published 2025-01-01
    “…In this overview, we review the very new and fundamental models of GNNs and their modifications, such as graph regularized neural networks, graph convolutional neural networks, spatial-temporal graph neural networks, graph attention networks, and their variants in EEG signal analysis fields. The applications of GNNs are summarized in the domains of emotion detection, epilepsy seizure detection, stroke rehabilitation, Alzheimer’s disease diagnosis, motor imagery detection, neurological disease diagnosis, major depressive disorder, and driving fatigue detection. …”
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    Article
  9. 2729

    AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

    Published 2025-01-01
    “…Future research may focus on combining AGW-YOLO with UAV swarm systems to enable fully automated, scheduled, and intelligent crack detection and analysis of levees, thereby offering robust technical support for long-term safety monitoring in hydraulic engineering.…”
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    Article
  10. 2730

    Robust Brain Tumour Classification: Comparative Deep Learning Analysis with Ensemble Modelling by Verma Aditya, Wankhede Disha

    Published 2025-01-01
    “…Traditional approaches, including manual analysis by radiologists and classical machine learning methods relying on handcrafted features, often lack consistency and high accuracy. …”
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    Article
  11. 2731

    Spectral Analysis of Dissolved Organic Carbon in Seawater by Combined Absorption and Fluorescence Technology by Xuan Cao, Feng Xiong, Yang Wang, Haikuan Ma, Yanmin Zhang, Yan Liu, Xiangfeng Kong, Jingru Wang, Qian Shi, Pingping Fan, Yunzhou Li, Ning Wu

    Published 2024-12-01
    “…However, independent spectral methods are susceptible to interference, and insufficient extraction of the data features can occur. Accordingly, this study introduces a multisource spectral fusion method that relies on a combination of principal component analysis and convolutional neural networks to construct the detection model. …”
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    Article
  12. 2732

    Phenotypic plasticity of metastatic melanoma by I. N. Mikhaylova, O. A. Аnurova, A. A. Lushnikova, I. V. Tsyganova, А. S. Senderovich, T. Т. Kondratieva, L. V. Demidov, N. N. Mazurenko

    Published 2019-02-01
    “…Spindle-shaped cells were also revealed by cytological analysis. BRAF gene mutations were identified by genetic analysis in 27 % of tumors, NRAS and KIT gene mutations were not detected. …”
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    Article
  13. 2733
  14. 2734

    The analysis about the metastases to Gastrointestinal tract: a literature review, 2000-2023 by Ting-Ting Sun, Ting-Ting Sun, Fu-Guo Liu

    Published 2025-04-01
    “…Clinical symptoms and endoscopic features were unable to predict the primary sites, which still require immunohistochemical analysis for accurate identification. …”
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    Article
  15. 2735
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    Analysis and prediction of serological indicators associated with colorectal interval polyposis after resection by Yuan Lan, Li Zhang, Ren Jun Li

    Published 2025-07-01
    “…Interval polyposis was defined as the detection of one or more polyps within 18 months after the initial polypectomy, regardless of anatomical location. …”
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  18. 2738
  19. 2739

    Late-onset leukoencephalopathy with predominant damage to the brain stem, spinal cord and increased lactate (clinical observations) by M. I. Karpova, A. F. Vasilenko, D. G. Korotkova, I. V. Kochetkov, M. V. Shestakova, G. V. Buyanova, Z. Z. Zaripova

    Published 2019-11-01
    “…The article presents an analysis of three clinical cases with the manifestation of neurological symptoms in adolescence. …”
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  20. 2740