A study of relationship between dimensions of safety climate with safe behaviors in the petrochemical industry by T Rahimi Pordanjani, A Mohamadzade Ebrahimi, H Mehdizade, M Khoshniat

“…Participants in this study were evaluated by using safe behaviors and safety climate scales. In order to analyze the data, the regression analysis and in the validation stage, the confirmatory factor analysis using AMOS-21 and the Pearson’s correlation that using SPSS-19 were applied. …”
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Correlation between neutrophil to lymphocyte ratio and early renal function level in elderly diabetic patients by SUN Ming-yu, GAO Po, ZHANG Shi-yang, HAN Yong-sheng

“…Methods A total of 346 elderly diabetic patients hospitalized in Department of Endocrinology and Department of Gerontology in The First Affiliated Hospital of USTC from June 2018 to January 2019 were enrolled in this study.Generalclinical data such as age,gender, body mass index,NLR, urinary albumin excretion(UAE) in patients with different estimated glomerular filtration rate(eGFR) levels were compared and analyzed. Logistic regression analysis was used to evaluate the effect of each confounding factor on eGFR using eGFR as an objective variable. …”
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A longitudinal study examining how self-injection social norms are associated with contraceptive self-injectable interest and use in rural Uganda by Erica Sedlander, Nitya Turaga, Catherine Birabwa, Ronald Wasswa, Beth Phillips, Dinah Amongin, Sneha Challa, Sylvie Nano, Betty Kyobe, Agnes Kayego, Peter Waiswa, Kelsey Holt

“…First, we used exploratory factor analysis to create a self-injection social norms scale. …”
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Optimization of Surface Quality and Power Consumption in Machining Hardened AISI 4340 Steel by Dennis Ochengo, Li Liang, Zhao Wei, He Ning

“…The linear regression models were validated using confirmation tests. …”
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Complete anterior circle of Willis improves thrombectomy efficacy of balloon guide catheter for internal carotid artery occlusion by Yigang Chen, Xing Jin, Feina Shi, Yun Jiang, Beibei Hu, Xu Zheng, Jinhua Zhang

“…Logistic regression analysis demonstrated that the BGC use in ICA occlusion with a complete anterior CoW was an independent factor associated with a higher likelihood of achieving recanalization within two passes (p = 0.001).ConclusionA complete anterior CoW was an independent factor associated with fewer thrombectomy passes and a shorter procedure time. …”
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Increased GPR35 expression is correlated with poor prognosis in prostate cancer by Tianyi Zhang, Xiang Li, Kainan Zhang, Jian Liu, Abudukeyoumu Maimaitiyiming, Weiming Wang, Mengjun Huang, Jianxin Li, Sujun Hou, Feng Zhang, Mengmeng Yin, Nan Zheng, Jianfeng Fu, Xiangxiang Meng

“…Kaplan-Meier and Cox proportional hazards regression models were used to analyze the data. Hazard Ratios (HR) and 95% confidence intervals (CI) were calculated for each factor. …”
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The research of the relationship between serum uric acid level and all-cause mortality at the beginning of maintenance hemodialysis and one year after diagnosis in hemodialysis pat... by DUAN Rui-qiu, ZHAO Wei, ZHAO Hai-dan

“…Objective To study the relationship between average serum uric acid level and all-cause mortality in maintenance hemodialysis patients at a single center at the beginning of dialysis and 1 year after dialysis.Methods A retrospective cohort study was conducted to observe 122 patients with end-stage kidney disease.The observation period was 5 years.The data of average serum uric acid,albumin,serum calcium,serum phosphorus,hemoglobin and so on were collected at the beginning of dialysis and 3 months,6 months,9 months and 1 year after dialysis.The change trend of serum uric acid was analyzed.According to the levels of uric acid in different periods,the patients were divided into hyperuricemia group(male> 420 μmol/L,female>360 μmol/L)and normal uric acid group(male≤420 μmol/L,female≤360 μmol/L).Kaplan-Meier was used to analyze the difference of all-cause mortality between the high and normal uric acid groups in different periods,and COX regression analysis was used to analyze whether uric acid level is an independent risk factor for all-cause death.Results During the 5-year observation 35 of 122 patients died,with a mortality rate of 28.7%.The average serum uric acid level at the beginning of hemodialysis was(456±121)μmol/L,and the average serum uric acid level one year after dialysis was(409±76)μmol/L,with statistically significant difference(P<0.05).According to the level of uric acid at the beginning of dialysis,there was no difference in all-cause mortality between high uric acid group and normal uric acid group(P=0.125).According to the mean uric acid level one year after hemodialysis,the all-cause mortality of the high uric acid levelgroup was lower than the normal uric acid levelgroup(P=0.004).Multivariate COX regression analysis suggested that after rectifying for age,sex,albumin,creatinine and Kt/V,hyperuricemia was an independent protective factor for all-cause death,and its odd ratio was 0.320 times the normal uric acid.At the same time,the patients in the high uric acid group are younger and the serum creatinine level is higher than that in normal uric acid group,with rectifying differences.Conclusions Patients with end-stage renal disease usually have a high level of uric acid at the beginning of hemodialysis and can reach a stable level one year after hemodialysis.Patients with high and normal uric acid levels have no difference in mortality at the beginning of dialysis.Patients with high uric acid have a higher survival rate when they are grouped by uric acid levels one year after hemodialysis.…”
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Predictive value of trauma related monitoring indicators for first-day red blood cell transfusion volume in trauma patients by YANG Jin, HU Zhihang, JIANG Xianxiao, CHEN Liang, LI Haishan

“…ROC curve analysis was performed on the multi-factor indicators and their combined predictive probability derived from the binary logistic regression model. …”
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Association of platelet to albumin ratio with metabolic dysfunction-associated steatotic liver disease based on the National Health and Nutrition Survey 2017–2018 by Jiao Xie, Qingliu He, David Fisher, Khrystyna Pronyuk, Erkin Musabaev, Lei Zhao

“…Multivariate logistic regression revealed that high PAR level was an independent risk factor for MASLD (OR = 2.58, 95%CI: 1.26–5.27, P = 0.03), which adjusted for sex, age, race, smoking status, hypertension, and diabetes.The same results were observed in multiple subgroups of further subgroup analysis, and it can effectively predict the risk of MASLD (AUC = 0.842, 95% CI: 0.826–0.859). …”
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Correlation between changes of amino acid spectrum and alopecia in patients with obesity undergoing bariatric surgery: a prospective cohort study by Tingwen Wang, Tingwen Wang, Jiaqing Huang, Jiaqing Huang, Xin Sun, Hai Zhao, Jun Bao, Xuehui Chu, Xiaojie Bian, Xiaojie Bian

“…Clinical data and serum amino acid concentrations were analyzed to: (1) compare preoperative and postoperative amino acid profiles; (2) evaluate amino acid differences between groups at various timepoints and correlate with alopecia severity; (3) perform logistic regression to identify alopecia risk factors.ResultsAmong 67 patients analyzed, LSG significantly decreased serum concentrations of arginine, alanine, threonine, glutamic acid, branched-chain amino acids (valine, isoleucine, leucine), and aromatic amino acids (tyrosine, phenylalanine, tryptophan) (p &lt; 0.05), while serine and glycine increased (p &lt; 0.05). …”
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Environmental taxation impact on the development of Ukrainian mining industry by Yaryna Samusevych, Maryna Horodetska

“…As a result of the conducted research by the methods of regression analysis, the impact of resource taxation on certain indicators of the mining activity in Ukraine was established. …”
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Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study by Sehyun Kim, Beomsang Ryu, Mingee Choi, Sangyon Lee, Jaeyong Shin, Sok Chul Hong

“…Models based on logistic regression analysis with penalty terms on the objective function were used, and their predictive performances were compared using multiple evaluation metrics, including the area under the receiver operating characteristic curve. …”
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Informativeness of various predictors of perioperative cardiovascular complications in non-cardiac surgery by D. A. Sokolov, I. A. Kozlov

“…We used logistic regression and ROC analysis.   Results. 21 (16.3 %) perioperative cardiovascular complications were registered in 17 (13.2 %) patients. …”
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Effect of onset of metabolic syndrome on allograft function in living donor’s kidney transplantation by Gu Dong-feng, Ding Ya-nan, Shen Bei-li, Zhao He, Liu Rui-yong, Qu Qing-shan

“…And t-test was utilized for comparing two groups. Logistic regression was applied for risk factor analysis of MS and <italic>P</italic>&lt;0.05 was deemed as significant.ResultsNo significant inter-group difference existed in serum creatine at Month 3 post-transplantation. …”
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ESG Risks and Market Valuations: Evidence from the Energy Sector by Rahul Verma, Arpita A. Shroff

“…This analysis reveals that the environmental factor has a stronger impact (regression coefficient = 0.05) than the governance factor (regression coefficient = 0.003), emphasizing the need to prioritize environmental performance in ESG strategies. …”
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Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum). by Rajermani Thinakaran, Ecenur Korkmaz, Başak Ünver, Seyid Amjad Ali, Zeshan Iqbal, Muhammad Aasim

“…This study aimed to optimize in vitro tuberization by manipulating key variables, including cultivar, sucrose concentration, and cytokinin-auxin interactions. Results were analyzed by response surface regression analysis (RSRA) of Response Surface Methodology (RSM), followed by data validation and prediction with machine learning (ML) models. …”
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Self-efficacy and self-regulation predicted employee\'s occupational accidents in an industrial company by T Rahimi Pordanjani, A Mohamadzade Ebrahimi

“…Participants in this study were measured by using safety self efficacy, regulatory focus at work and incident reporting rata scales. In order to analyze the data, the regression analysis and in the validation stage, the confirmatory factor analysis by use software AMOS-21 and the Pearson’s correlation coefficient by use software SPSS-19 were applied. …”
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Study on the Adsorption Mechanism of Spherical Particles near the Seed Metering Disk Surface by Narrow Elongated Suction Holes by Guocheng Bao, Zhendong Zhang, Lijing Liu, Jiandong Li, Chunshun Tao, Wei Yang

“…To explore the applicability of such suction holes in seeding operations, we conducted single-factor experiments and Box–Behnken experiments. The single-factor experiments, based on computational fluid dynamics (CFD) simulations, analyzed the effects of suction hole width, length, vacuum pressure, and particle diameter on the suction force acting on a single spherical particle as it moved from the suction hole center to the outer region near the seed metering disk wall. …”
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Clinical Characteristics and Prognostic Value of Circulating Plasma Cells in Newly Diagnosed Multiple Myeloma Patients in China by Geng C, Yang G, Zhou H, Zhang Z, Jian Y, Chen W, Li Y

“…Univariate Cox proportional hazards regression analysis showed that CPC was associated with shorter OS (HR=1.740, 95% CI: 1.293– 2.342, p&lt; 0.001) and PFS (HR=1.486, 95% CI: 1.149– 1.921, p=0.003). …”
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Composite dietary antioxidant index and HPV infection from single and mixed associations to SHAP-interpreted machine learning predictions by Pei Zhang

“…Multivariable logistic regression, restricted cubic spline (RCS) regression, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) were used to analyze the associations between CDAI and its sub-components and HPV infection. …”
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