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  1. 1081

    Vegetable Fields Mapping in Northeast China Based on Phenological Features by Jialin Hu, Huimin Lu, Kaishan Song, Bingxue Zhu

    Published 2025-01-01
    “…Second, spectral analysis was integrated with three machine learning classifiers, which leveraged phenological and spectral features extracted from satellite images to accurately identify vegetable-growing areas. …”
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    Article
  2. 1082

    Epidemiological and clinical features of measles on the example of an outbreak in the Penza region by J. Yu. Kurmaeva, A. V. Afonin, S. B. Rybalkin, V. L. Melnikov, M. V. Nikolskaya

    Published 2024-08-01
    “…The diagnosis was confirmed by detection of specific marker (IgM) in the blood by ELISA. …”
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  3. 1083
  4. 1084

    HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

    Published 2025-06-01
    “…However, existing networks are constrained by fixed scales and the absence of temporal dynamics, with insufficient consideration of multi-scale features, thereby limiting their semantic representation and dynamic analysis capabilities. …”
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  5. 1085

    Clinical features of autoimmune cerebellar ataxia related to neuronal antibodies by Yun Cai, Zhijuan Hua, Yanan Chen, Xue Chen, Na Liu, Ting Liu, Qianwen Zhou, Jinghua Li, Weiying Di

    Published 2025-02-01
    “…One patient relapsed.ConclusionACA can be induced or aggravated by infection. The detection of neuronal antibodies is crucial for the precise diagnosis of ACA. …”
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  6. 1086

    The features of the composition of the gut microbiota in patients with hypertension and abdominal obesity by S. M. Koval, I. O. Snihurska, K. O. Yushko, O. V. Mysnychenko, V. Yu. Halchynska

    Published 2021-12-01
    “…The aim of this work was to study the features of the composition of the gut microbiota (GM) in patients with arterial hypertension (AH), which occurs against the background of abdominal obesity (AO). …”
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    Article
  7. 1087

    Prevalence and clinical features of interstitial lung disease in patients with psoriasis by Nobuhiro Kanaji, Noriyuki Misaki, Makiko Murota, Masashi Iwata, Ryou Ishikawa, Kentaro Yamamura, Hisamu Tanaka, Naoya Yokota, Shuusuke Fujimoto, Toshiki Yajima, Hiroaki Dobashi, Hiromi Shimada, Risa Wakiya, Naoki Watanabe, Takuya Inoue, Hitoshi Mizoguchi, Yuta Komori, Kazuki Kojima, Norimitsu Kadowaki, Teruki Dainichi

    Published 2024-12-01
    “…This study aimed to investigate the frequency and clinical features of ILD in patients with psoriasis and propose a new conceptual framework of “ILD associated with psoriasis”. …”
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  8. 1088
  9. 1089

    Choosing Bacterial Endotoxin Detection Method by O. V. Shapovalova, N. P. Neugodova, G. A. Sapozhnikova

    Published 2020-05-01
    “…In this article we consider the features of modern methods for detecting bacterial endotoxins, their advantages and disadvantages. …”
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  10. 1090

    On Guaranteed Detectability for Surveillance Sensor Networks by Yanmin Zhu

    Published 2012-07-01
    “…The unique features of GAP are threefold. First, it provides guaranteed detectability for any event occurring in the sensing field. …”
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    Detection and management of Hirschsprung’s disease in neonates by Mahmoud Abdalla Rahmo, Sherif Nabhan Kaddah, Ahmed Ezzat, Osama Abdelazim

    Published 2025-08-01
    “…Conclusion The aim of our study was to observe the various clinical features of Hirschsprung’s disease (HD) in neonates to enable early detection and management. …”
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  18. 1098

    FEATURES OF PAPILLOMAVIRUS INFECTION IN HUMAN IMMUNODEFICIENCY VIRUS-INFECTED WOMEN by KRISTINA V. Marochko, NATALIA V. Artymuk

    Published 2017-09-01
    “…To determine prevalence and features of human papillomavirus (HPV) infection in human immunodeficiency virus (HIV)-infected women.Materials and Methods. …”
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  19. 1099
  20. 1100

    Internet addiction and network identity: features of development in student youth by Ol'ga Besschetnova, Elena Tsyglakova, Alexey Vikulov

    Published 2024-12-01
    “… The purpose of the study is to detect the level of Internet addiction in student youth, identify the features of network identity formation, and substantiate the relationship between personality traits and addictive behavior. …”
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