Showing 561 - 580 results of 1,135 for search 'T13 (classification)', query time: 0.06s Refine Results
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    Anxiety and depression in primary knee osteoarthritis patients: are they related to clinical features and radiographic changes? by Yasmin A. Abd Elhamid, Ghada S. Elazkalany, Marwa H. Niazy, Angie Y. Afifi

    Published 2024-12-01
    “…Material and methods Fifty patients fulfilling primary knee OA classification criteria were recruited for the study, and 50 age- and sex-matched healthy individuals served as a control group. …”
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    Leukopenia and thrombocytopenia in dengue patients presenting in the emergency department of a tertiary center in Nepal: a cross-sectional study by Bibechan Thapa, Prakriti Lamichhane, Trishna Shrestha, Saral Lamichhane, Shreyasi Karki, Sneha Pradhananga, Kabita Hada Batajoo, Prajwal Pudasaini

    Published 2025-01-01
    “…World Health Organization classification in 2009 classified dengue into dengue without warning signs, dengue with warning signs, and severe dengue. …”
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    New insights into the phylogeny and infrageneric taxonomy of Saussurea based on hybrid capture phylogenomics (Hyb-Seq) by Liansheng Xu, Zhuqiu Song, Tian Li, Zichao Jin, Buyun Zhang, Siyi Du, Shuyuan Liao, Xingjie Zhong, Yousheng Chen

    Published 2025-01-01
    “…Our analyses show that ancient hybridization is the most likely source of deep cytoplasmic-nuclear conflict in Saussurea, and a phylogeny based on nuclear data is more suitable than one based on chloroplast data for exploring the infrageneric classification of Saussurea. Based on the nuclear phylogeny obtained and morphological characters, we proposed a revised infrageneric taxonomy of Saussurea, which includes four subgenera and 13 sections. …”
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    Deciphering Design of Aggregation‐Induced Emission Materials by Data Interpretation by Junyi Gong, Ziwei Deng, Huilin Xie, Zijie Qiu, Zheng Zhao, Ben Zhong Tang

    Published 2025-01-01
    “…The fingerprints are readily interpretable and have demonstrated promising efficacy in addressing influences related to the photophysics of organic light‐emitting materials, achieving high accuracy and precision in the regression of emission transition energy (mean absolute error (MAE) ∼ 0.13eV) and the classification of optical features and excited state dynamics mechanisms (F1score ∼ 0.94). …”
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