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  1. 401
  2. 402

    A flexible framework for local-level estimation of the effective reproductive number in geographic regions with sparse data by Md Sakhawat Hossain, Ravi Goyal, Natasha K. Martin, Victor DeGruttola, Mohammad Mihrab Chowdhury, Christopher McMahan, Lior Rennert

    Published 2025-03-01
    “…Conclusion These findings demonstrate that the proposed methodology is a useful tool for small-area estimation of $$\:{R}_{t}$$ , as our flexible framework yields high prediction accuracy for regions with coarse or missing data.…”
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    Article
  3. 403

    The phenomenon of RNA interference in oncology: advances, problems and perspectives by O. E. Andreeva, M. A. Krasil’nikov

    Published 2016-09-01
    “…The mechanism is based on the block of the translation and/or degradation of messenger RNA under short non-coding RNA, among them: microRNA and small interfering RNA. …”
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  4. 404

    Functions, mechanisms, and therapeutic implications of noncoding RNA in acute myeloid leukemia by Xiaokang Wang, Yong Tong, Tianrong Xun, Haixing Feng, Yuhe Lei, Yuanqing Li, Kit Hang Wu, Fang Qiu

    Published 2025-07-01
    “…Over the past decade, significant efforts have been made to develop RNA-based therapies, mainly antisense oligonucleotides and small interfering RNA, some of which have been approved for clinical use. …”
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  5. 405

    Emerging frontiers in epigenetic-targeted therapeutics for pediatric neuroblastoma by Xiaokang Wang, Gengrui Xu, Hongyan Ma, Xiaoyan Deng, Guiping Ma

    Published 2025-07-01
    “…., GD2 monoclonal antibodies) into international clinical guidelines, the 5-year survival rate of patients with NB persistently remains lower than 50%. Small-molecule targeted agents, distinguished by their low molecular weight and superior chemical stability, offer advantages over macromolecular antibody therapies by effectively penetrating cell membranes to engage intracellular targets. …”
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  6. 406
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  9. 409

    Roman law in doctoral theses of Nikola Krstić from 1854 by Bujuklić Žika

    Published 2018-01-01
    “…However, on the basis of this partial analysis, which includes only a small piece of a total of seventy theses, the author concludes that this candidate had an enviable legal education and a boldness to engage in an under-investigated area of legal science. …”
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  10. 410

    RUSSIAN FAMILY LAW LEGISLATION: REVOLUTION, COUNTER-REVOLUTION, EVOLUTION by NADEZHDA TARUSINA, ELENA ISAEVA

    Published 2017-12-01
    “…This article analyzes the political and legal aspects of the first decrees of the Soviet government  from 1917 and the codified acts on marriage and family from 1918 and 1926 as large and small  “revolutions” in Russian and Soviet family law. …”
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  11. 411

    Prognostic Role of Circulating miR-141 in Early Diagnosis of Colorectal Cancer by Merve Simsek Dilli, Ertugrul Bayram, Ismail Oguz Kara

    Published 2025-05-01
    “…MicroRNA-141 (miR-141) is a small non-coding RNA molecule that plays a regulatory role in cell proliferation and differentiation and has been linked to various types of cancer. …”
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  12. 412

    Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

    Published 2025-05-01
    “…The experimental results show that the proposed method can complete the corn point cloud more effectively, using a small model to help estimate the pose and dimensions of corn accurately. …”
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  13. 413

    LncRNA CHRF: molecular mechanisms and therapeutic potentials in cardiovascular diseases, cancers and fibrosis by Jie Mou, Jie Mou, Chuntao Luo, Wen Zhang, Yin Shao, Juan Pei, Juan Pei, Yaqin Chen, Yaqin Chen, Xin Guo, Yonghong Fan, Hongyu Sun, Hongyu Sun

    Published 2025-06-01
    “…Long non-coding RNAs (LncRNA), exceeding 200 nucleotides in size, have emerged as important regulators of genes involved in multiple biological functions including cell growth, migration, invasion, drug resistance and apoptosis. …”
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  14. 414

    Polyploidization-driven transcriptomic dynamics in Medicago sativa neotetraploids: mRNA, smRNA and allele-specific gene expression by D. F. Santoro, G. Marconi, S. Capomaccio, M. Bocchini, A. W. Anderson, A. Finotti, M. Confalonieri, E. Albertini, D. Rosellini

    Published 2025-01-01
    “…A large majority of the genes whose expression level changed due to WGD presented increased expression, indicating that the 4x state requires the upregulation of approximately 2.66% of the protein-coding genes. Overall, we estimated that 3.63% of the protein-coding genes were transcriptionally affected by WGD and may contribute to the phenotypic novelty of the neotetraploid plants. …”
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  15. 415

    Detection of early relapse in multiple myeloma patients by Tereza Růžičková, Monika Vlachová, Lukáš Pečinka, Monika Brychtová, Marek Večeřa, Lenka Radová, Simona Ševčíková, Marie Jarošová, Josef Havel, Luděk Pour, Sabina Ševčíková

    Published 2025-01-01
    “…Results Using small RNA sequencing, we profiled microRNA expression in peripheral blood in three groups of MM patients who relapsed at different intervals. …”
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    JSCC-Aided INR for High-Frequency Detail Preservation in LiDAR by Akihiro Kuwabara, Sorachi Kato, Toshiaki Koike-Akino, Takuya Fujihashi

    Published 2025-01-01
    “…Implicit neural representation (INR) has gained attention for its compact data representation, but its capacity to accurately represent high-frequency details is insufficient when using small models. In this paper, we propose a novel joint source-channel coding (JSCC) scheme that integrates INR with analog residual transmission for high-quality and efficient point cloud transmission. …”
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  19. 419

    MicroRNAs in Liver Fibrosis: Unraveling Intercellular Crosstalk and the Regulatory Functions of MicroRNA-223 by Chinnatam Phetkong, Chaiyaboot Ariyachet

    Published 2025-06-01
    “…MicroRNAs (miRNAs), a class of small non-coding RNAs, are increasingly recognized as crucial regulators of gene expression in liver pathology, including fibrosis, by influencing intercellular crosstalk. …”
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  20. 420

    Machine learning approaches for EGFR mutation status prediction in NSCLC: an updated systematic review by Liu Haixian, Liu Haixian, Pang Shu, Pang Shu, Li Zhao, Li Zhao, Lu Chunfeng, Lu Chunfeng, Li Lun

    Published 2025-07-01
    “…BackgroundWith the rapid advances in artificial intelligence—particularly convolutional neural networks—researchers now exploit CT, PET/CT and other imaging modalities to predict epidermal growth factor receptor (EGFR) mutation status in non-small-cell lung cancer (NSCLC) non-invasively, rapidly and repeatably. …”
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