Showing 14,601 - 14,620 results of 14,936 for search '"NO99"', query time: 0.19s Refine Results
  1. 14601

    Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics by Wu W, Hu X, Yan L, Li Z, Li B, Chen X, Lin Z, Zeng H, Li C, Mo Y, Wu Y, Wang Q

    Published 2025-02-01
    “…In an external test on two primary healthcare datasets with these features, RF demonstrated an accuracy of 88.435% (95% CI 85.55% to 91.32%), sensitivity of 98.55% (95% CI 97.47% to 99.63%), specificity of 85.56% (95% CI 82.39% to 88.73%), and an AUC of 92.055% (95% CI 89.62% to 94.49%).Conclusion: The screening model excels in automating prompt identification of RA in primary healthcare, improving the early detection of RA, and reducing delays and associated costs. …”
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  2. 14602
  3. 14603

    Recent methane surges reveal heightened emissions from tropical inundated areas by Xin Lin, Shushi Peng, Philippe Ciais, Didier Hauglustaine, Xin Lan, Gang Liu, Michel Ramonet, Yi Xi, Yi Yin, Zhen Zhang, Hartmut Bösch, Philippe Bousquet, Frédéric Chevallier, Bogang Dong, Cynthia Gerlein-Safdi, Santanu Halder, Robert J. Parker, Benjamin Poulter, Tianjiao Pu, Marine Remaud, Alexandra Runge, Marielle Saunois, Rona L. Thompson, Yukio Yoshida, Bo Zheng

    Published 2024-12-01
    “…Results show global methane emissions increased by 20.3±9.9 and 24.8±3.1 teragrams per year in 2020 and 2021, dominated by heightened emissions from tropical and boreal inundated areas, aligning with rising groundwater storage and regional warming. …”
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  4. 14604
  5. 14605

    Maternal exposure to ambient temperature and risk of preterm birth in Chengdu, China, from 2017 to 2020: a cohort study by Qiqi Huang, Xiong-Fei Pan, Shijiao Yan, Zhonghan Sun, Yuwei Lai, Yixiang Ye, Jiaying Yuan, Chuanzhu Lv, Rixing Wang, Xingyue Song

    Published 2025-01-01
    “…A temperature of 27° C (90th percentile) was protective for PTB from the 22nd day of lag(RR = 0.86, 95% CI:0.75,0.99). Conclusions This study indicates that high temperature may be a protective factor for PTB, while low temperature may be a risk factor, with an obvious lag effect.…”
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  6. 14606
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  9. 14609

    ABCA6基因的变异p.Asn1322Ser与ABCA7基因的变异 p.Cys1988Phe与抵抗慢性乙型肝炎病毒感染相关 by 蒋丹华, 黎福成, 廖启军, 刘劲松

    Published 2016-01-01
    “…【目的】本课题组前期通过筛选99例理论上为“乙肝易感个体”及90例理论上为“乙肝抵抗个体” 的全外显子组测序数据,报道了乙肝病毒受体基因SLC10A1的变异p.Ser267Phe与携带者对乙肝有更高的抵抗性相关。…”
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  10. 14610

    Long-Term Impact of Using Mobile Phones and Playing Computer Games on the Brain Structure and the Risk of Neurodegenerative Diseases: Large Population-Based Study by Yi Xiao, Sirui Zhang, Yuanzheng Ma, Shichan Wang, Chunyu Li, Yan Liang, Huifang Shang

    Published 2025-01-01
    “…The average follow-up duration was approximately 13.9 (SD 1.99) years. Lengthy mobile phone use was associated with a reduced risk of ACD (2-4 years: hazard ratio [HR] 0.815, 95% CI 0.729-0.912, P<.001; 5-8 years: HR 0.749, 95% CI 0.677-0.829, P<.001; >8 years: HR 0.830, 95% CI 0.751-0.918, P<.001), AD (5-8 years: HR 0.787, 95% CI 0.672-0.922, P=.003), and VD (2-4 years: HR 0.616, 95% CI 0.477-0.794, P<.001; 5-8 years: HR 0.729, 95% CI 0.589-0.902, P=.004; >8 years: HR 0.750, 95% CI 0.605-0.930, P=.009) compared to rarely using mobile phones. …”
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  11. 14611
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  13. 14613

    Correlation between serum homocysteine level and clinicopathological factors of IgA nephropathy by Cai Xiao-fan, Huang Jie-bo, Xing Yue, Cai Xiu-feng, Li Xue-ling, Zhong Yi-fei

    Published 2025-01-01
    “…The clinicopathological factors associated with HHcy were analyzed by logistic regression, and area under the receiver operator characteristic curve (AUC) was used to assess the ability of Hcy in predicting pathologic injuries associated with IgAN.ResultsPatients in the HHcy group had significantly higher male ratio (63.1% vs 32.7%), age [(40.44 ± 12.85)years vs (36.83 ± 11.56)years], albumin [Alb,(38.14 ± 4.71)g/L vs (36.28 ± 6.65)g/L], serum creatinine [Scr,(125.90 ± 75.89)μmol/L vs (75.39 ± 29.16)μmol/L], blood uric urea [BUN,(7.61 ± 4.01)mmol/L vs (5.29 ± 1.78)mmol/L], uric acid [UA,(427.04 ± 101.99)μmol/L vs (351.56 ± 93.45)μmol/L], and cystatin C [Cys C,(1.61 ± 0.66)mg/L vs (1.05 ± 0.36)mg/L], but lower eGFR [(70.50 ± 30.90)mL·min-1·(1.73 m2)-1 vs (100.35 ± 27.08)mL·min-1·(1.73 m2)-1] than the Hcy normal group (all P<0.05). …”
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  14. 14614
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  17. 14617

    A Model for Implementing New FinTechs in the Banking Industry (Peer-to-Peer Lending) by Hosein Mohammadi, Narges Mohammadalipour, Noroz Norollahzadeh, Ghanbar Abbaspour asfadan, Mahnaz Rabie

    Published 2024-06-01
    “…The results of the quantitative part showed that the fit indices of the model indicate the confirmation of the model at the confidence level of 99%. Conclusion The present study was conducted with the aim of providing a model for the implementation of new fintechs in the banking industry (peer-to-peer lending). …”
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  18. 14618
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  20. 14620

    Influencing factors of IgA nephropathy combined with hyperuricemia and a nomogram to predict the risk of hyperuricemia in IgA nephropathy patients by Zhou Jie, Xian Wei-ying, Li Ji-tian, Zeng Jin-cheng

    Published 2025-01-01
    “…They were randomly grouped into a modeling group (233 cases) and a validation group (99 cases) at a ratio of 7∶3 using a random number table method. …”
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