Showing 1,101 - 1,120 results of 1,432 for search 'Snapline~', query time: 2.45s Refine Results
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    SFMHANet: Surface Fitting Constrained Multidimensional Hybrid Attention Network for Aero-Optics Thermal Radiation Effect Correction by Yu Shi, ShanLin Niu, Lei Wang, Liang Ye, YaoZong Zhang, HanYu Hong

    Published 2025-01-01
    “…First, according to the characteristics of the aero-optics thermal radiation bias field belonging to low frequency, we initially estimate the aero-optics thermal radiation bias field using biharmonic spline interpolation surface fitting based on wavelet decomposition. …”
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    Association of high-sensitivity C-reactive protein with hepatic fibrosis in patients with metabolic dysfunction-associated steatotic liver disease by Yunfei Wu, Yunfei Wu, Guojun Zheng, Guojun Zheng, Fan Zhang, Fan Zhang, Fan Zhang, Wenjian Li, Wenjian Li

    Published 2025-02-01
    “…The relationship between hsCRP levels and hepatic fibrosis in MASLD patients was examined using multivariable-adjusted and restricted cubic spline (RCS) models. Additionally, subgroup analyses were conducted to investigate the potential heterogeneity among different characteristic subgroups.ResultsThe results demonstrated a significant correlation between elevated hsCRP levels and an increased risk of significant fibrosis, advanced fibrosis, and cirrhosis in the US cohort of MASLD patients (OR 2.22, 1.69, and 2.85, respectively; all P <0.05). …”
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    Inverse relationship of oxidative balance score with hyperuricemia among Chinese adults: a population-based cross-sectional study by Hewei Peng, Ying Han, Jingru Huang, Wenxin Qiu, Huajing Chang, Jiangwang Fang, Xian-E Peng

    Published 2025-01-01
    “…Subgroup analyses identified sensitive populations. Restricted cubic spline (RCS) was performed to examine the potential dose-response relationship. …”
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  12. 1112

    Relative Fat Mass and Physical Indices as Predictors of Gallstone Formation: Insights From Machine Learning and Logistic Regression by Deng L, Wang S, Wan D, Zhang Q, Shen W, Liu X, Zhang Y

    Published 2025-01-01
    “…Furthermore, we substantiated the link between relative fat mass (RFM) and gallstone formation by employing four logistic regression models, conducting subgroup analyses, and applying restricted cubic spline (RCS) curves.Results: The logistic regression algorithm demonstrated superior predictive capability for all risk factors associated with gallstone occurrence compared to other machine learning models. …”
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  13. 1113

    Association between red cell distribution width—albumin ratio and all-cause mortality in intensive care unit patients with heart failure by Ni Li, Junling Li, Kai Wang

    Published 2025-01-01
    “…Subgroup analysis was used to evaluate the prognostic impact of RAR across diverse populations. Restricted cubic spline curves and threshold effect analysis were utilized to quantify the dose-response relationship between RAR levels and mortality. …”
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    Association of TyG index with mortality at 28 days in sepsis patients in intensive care from MIMIC IV database by Heping Xu, Jinyuan Xie, Yan Xia, Huan Niu, Hong Wang, Feng Zhan

    Published 2025-01-01
    “…Multivariate logistic regression analysis and restricted cubic spline regression analysis were used to assess the relationship between the TyG index and 28-day all-cause mortality in septic patients. …”
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  17. 1117

    The association between eight complete blood count-derived inflammatory markers and muscle health by Jingyuan Zhang, Yuqi Wang, Heng Liu, Zhuolin Lei, Shouquan Cheng, Hong Cao

    Published 2025-02-01
    “…Multivariate logistic regression, smooth curve fitting, restricted cubic spline (RCS) analysis, subgroup analysis, and Spearman's correlation were used to comprehensively assess the associations between the eight inflammatory indicators and muscle mass and strength. …”
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    L-shaped association of body mass index with prognosis in individuals with sepsis: a multicenter cohort study by Kunping Cui, Xiangnan Teng, Wei liu, Xiaoxiao Zhao, Shanling Xu, Lang Bai

    Published 2025-02-01
    “…The cut-off value of BMI was identified by the restricted cubic spline (RCS) curve and included patients were categorized into two groups: the low BMI group (< 28 kg/m2) and the high BMI group (≥ 28 kg/m2). …”
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