Showing 2,581 - 2,600 results of 2,607 for search 'S6 (classification)', query time: 0.06s Refine Results
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    Injury and Illness Incidence in 2017 Super Rugby Tournament: A Surveillance Study on a Single South African Team by Kim Buchholtz, Curt Barnes, Theresa L. Burgess

    Published 2022-06-01
    “…Acute respiratory tract infection (28.6%) was the most common diagnosis, and the majority of illnesses (64.3%) did not result in time-loss…”
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  4. 2584

    Clinical, genomic, and histopathologic diversity in cerebral cavernous malformations by Jian Ren, Daochao Wang, Leiming Wang, Chendan Jiang, An Tian, Ziwei Cui, Yeqing Ren, Lisong Bian, Gao Zeng, Guolu Meng, Yongzhi Shan, Jiantao Liang, Xinru Xiao, Jie Tang, Yukui Wei, Chuan He, Liyong Sun, Yongjie Ma, Jiaxing Yu, Guilin Li, Ming Ye, Peng Hu, Jingwei Li, Ye Li, Lijian Niu, Qianwen Li, Feng Ling, Jan-Karl Burkhardt, Hongqi Zhang, Tao Hong

    Published 2025-02-01
    “…Histopathologically, lesions with PIK3CA mutations displayed cyst walls, pS6-positive dilated capillaries, and fresh blood cells, while MAP3K3 and double mutation lesions exhibited classic CCM pathology with SMA-positive and KLF4-positive vessels, collagen, and calcification. …”
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    Analisis Perbandingan Metode Regresi Linier Dan Importance Performance Analysis (IPA) Terhadap Kepuasan Pengguna Pada Layanan E-Government Menggunakan Metode WebQual Modifikasi by Frandika Septa, Anton Yudhana, Abdul Fadlil

    Published 2020-10-01
    “…Hasil analisis data menggunakan regresi linier berganda diketahui bahwa variabel bebas mampu mempengaruhi kepuasan pengguna sebesar  67,6% dan 32,4% dipengaruhi oleh variabel lainnya, sedangkan hasil dari IPA tingkat kesesuaian sebesar 96,22% dan tingkat kesenjangan antara kinerja dan harapan dari layanan E-Government sebesar –0,12. …”
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    Heterogeneous clinical phenotypes of sporadic early-onset Alzheimer’s disease: a neuropsychological data-driven approach by Deepti Putcha, Yuta Katsumi, Alexandra Touroutoglou, Ani Eloyan, Alexander Taurone, Maryanne Thangarajah, Paul Aisen, Jeffrey L. Dage, Tatiana Foroud, Clifford R. Jack, Joel H. Kramer, Kelly N. H. Nudelman, Rema Raman, Prashanthi Vemuri, Alireza Atri, Gregory S. Day, Ranjan Duara, Neill R. Graff-Radford, Ian M. Grant, Lawrence S. Honig, Erik C. B. Johnson, David T. Jones, Joseph C. Masdeu, Mario F. Mendez, Erik Musiek, Chiadi U. Onyike, Meghan Riddle, Emily Rogalski, Stephen Salloway, Sharon Sha, R. Scott Turner, Thomas S. Wingo, David A. Wolk, Kyle Womack, Maria C. Carrillo, Gil D. Rabinovici, Bradford C. Dickerson, Liana G. Apostolova, Dustin B. Hammers, the LEADS Consortium

    Published 2025-02-01
    “…Whole-cortex general linear modeling of cortical atrophy was applied as an MRI-based validation of these distinct clinical phenotypes. Results We identified 6 phenotypic subtypes of EOAD: Dysexecutive Predominant (22% of sample), Amnestic Predominant (11%), Language Predominant (11%), Visuospatial Predominant (15%), Mixed Amnestic/Dysexecutive Predominant (11%), and Multidomain (30%). …”
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