Showing 241 - 260 results of 2,620 for search '"Five Ranks', query time: 0.08s Refine Results
  1. 241

    Identification of G-quadruplex-forming Sequences in Nucleocapsid Gene of SARS-CoV-2 Variants of Concern: An In Silico Analysis by Saeedeh Ghazaey Zidanloo

    Published 2024-02-01
    “…The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as an enveloped RNA virus, has resulted in a global health threat. …”
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    Article
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    Comparison of Mortality between Japanese Peritoneal Dialysis and Hemodialysis Patients: A 5-Year Multicenter Follow-Up Study by Kazuko Suzuki, Tsuneo Konta, Kazunobu Ichikawa, Ami Ikeda, Hiroki Niino, Masato Hoshikawa, Toshiyuki Takahashi, Hiroshi Abiko, Minoru Ito, Ikuto Masakane, Tomohito Matsunaga, Kosuke Kudo, Hiroko Sato, Noriyuki Degawa, Isao Kubota

    Published 2012-01-01
    “…Kaplan-Meier analysis revealed that the crude survival rate was not significantly different at the end of 5 years (PD 67.5% versus 67.5%, log-rank P=0.719). …”
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    PAK5 Induces EMT and Promotes Cell Migration and Invasion by Activating the PI3K/AKT Pathway in Ovarian Cancer by Diyou Li, Yinglin Pan, Yating Huang, Ping Zhang, Xuhong Fang

    Published 2018-01-01
    “…P21cdc42/rac1-activated kinase 5 (PAK5) is a newly identified protein that has been indicated to have oncogenic potential. …”
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    Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations by Magdalyn E. Elkin, Xingquan Zhu

    Published 2025-01-01
    “…Because mutations introduce changing context to the underlying sequence, DNMS models three aspects of the protein sequences: semantic changes, grammatical changes, and attention changes, each modeling protein sequence aspects from shifting of semantics, grammar coherence, and amino-acid interactions in latent space. A ranking approach is proposed to combine all three aspects to capture mutations demonstrating evolving traits, in accordance with real-world SARS-CoV-2 spike protein sequence evolution. …”
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    Article
  10. 250

    Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

    Published 2021-03-01
    “…Employing analysis and cross-validation, we found that XGBoost performed the best, followed by random forests and neural networks, and stepwise regression performed the worst. This ranking was apparent in the threshold exceedance values of the binary forecasts obtained via regression. …”
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  11. 251

    Multiepitope Subunit Vaccine Design against COVID-19 Based on the Spike Protein of SARS-CoV-2: An In Silico Analysis by Hamza Arshad Dar, Yasir Waheed, Muzammil Hasan Najmi, Saba Ismail, Helal F. Hetta, Amjad Ali, Khalid Muhammad

    Published 2020-01-01
    “…The global health crisis caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causal agent of COVID-19, has resulted in a negative impact on human health and on social and economic activities worldwide. …”
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    Article
  12. 252

    m6A-modified lncRNA GAS5 promotes M1-polarization of microglia in alcohol use disorder by Shuang Zhu, Peng Wang, Jian Hu

    Published 2025-02-01
    “…We assessed the expression levels of long noncoding RNA GAS5 (lncRNA GAS5) and microRNA-136–5p (miR-136–5p) in AUD tissue samples and cell lines using reverse transcription-quantitative polymerase chain reaction. …”
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  13. 253

    Difference of clinical characteristics in patients with reinfection and primary infection variants of SARS-CoV-2: a retrospective study in China by Chao-Chao Qiu, Xiao-Qing Lin, Qiang Zhang, Ya-Long Chen, Xiao-Qiao Su, Ming-Ying Zhang, Le-Fei Zhu, Zhi-Ruo Lin, Fang Cheng, Shang-Ren Xie, Ji-Chan Shi, Xian-Gao Jiang

    Published 2025-02-01
    “…The observation group exhibited a shorter clinical symptom recovery time than that did the control group (median, 5 days vs. 7 days, Log rank p<0.001, HR = 1.907(95% CI 1.669–2.178). …”
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  14. 254

    University Academic Reputation as a Leadership Factor in the Global Educational Market by N. L. Antonova, A. D. Sushchenko

    Published 2020-07-01
    “…We analyze the factors that improve university academic reputation using sources of empirical data such as QS World University Rankings database for 2017–2019 (open data analysis method), as well as the sociological research results including the opinions of experts (n = 5) (semi-structured interviews were selected as an appropriate method of data collection). …”
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