Affecting analysis of business risk factors to profitability of construction companies in Vietnam by Tran Thi Hoai Thuong, Huynh Thi Minh Truc

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Analysis of the clinical features and risk factors of death in patients with mushroom poisoning by Yan Yang, Ruifei Shao, Jinfang Xue, Xiran Lou, Deyuan Ning, Guobing Chen

“…Patients who died were more likely to have demonstrated a long latency, high alanine aminotransferase, aspartate aminotransferase, direct bilirubin, total bilirubin (TB), activated partial thromboplastin time, prothrombin time, international normalized ratio, creatinine, and blood urea nitrogen. Multiple logistic regression analysis indicated that TB level greater than or equal to 34.2 μmol/L had the greatest lethal risk and could increase the risk of death by 14.588 times (odds ratio: 15.588; 95% confidence interval: 2.088–116.351), which indicated that TB was an independent risk factor of death in patients with acute mushroom poisoning. …”
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Effects of nitrogen levels on soil respiration of sympodial bamboo plantation and factor analysis by LI Weicheng, WANG Shuguang, SHENG Haiyan, ZHENG Youmiao, WANG Shudong, ZHONG Zheke

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Efficiency optimization of a hybrid Savonius-Darrieus hydrokinetic turbine via regression modeling and CFD-based design of experiments by Mateo Arrieta-Gomez, Sebastián Vélez-García, Diego Hincapié Zuluaga, Juan C. Tejada, Daniel Sanin-Villa

“…Computational fluid dynamics (CFD) analyses were conducted in ANSYS 2024 R2 to calculate the torque generated in each case. An analysis of variance (ANOVA) was performed for the results of each experiment, identifying the radius ratio as the factor exerting the greatest effect on torque generation. …”
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Building a risk prediction model for anastomotic leakage postoperative low rectal cancer based on Lasso-Logistic regression by Zhenhao Quan, Lin Lin, Renwei Huang, Kaiyu Sun, Feipeng Xu

“…The data of each group were collected, and the influencing factors of AL in patients postoperative with rectal cancer in the training set were analyzed by Lasso-Logistic regression model. …”
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Identifying small thymomas from other asymptomatic anterior mediastinal nodules based on CT images using logistic regression by Wenfeng Feng, Runlong Lin, Wenzhe Zhao, Haifeng Cai, Jingwu Li, Yongliang Liu, Lixiu Cao, Lixiu Cao

“…Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) were used to compare the performance of the model and individual risk factors in the internal testing set. …”
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Rainfall and temperature trends in northeastern states of India: Implications for agricultural productivity by JYOTSNALI CHETIA, MONISHA CHETIA

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MATHEMATICAL MODELING IN THE CONTENT OF STUDENTS-ECOLOGISTS’ TRAINING OF MATHEMATICS by S. I. Toropova

“…Mathematical modeling of the links between the health indicators of the population of the Kirov region and habitat factors was carried out using multiple correlation-regression analysis. …”
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Association analysis of the triglyceride-glucose index with carotid atherosclerotic plaques by Shuping CHEN, Weiting TANG, Tian LAN, Jinlong LI, Qi XU, Lingqiao QIN, Qiuan ZHONG

“…The correlation between the TyG index and the occurrence of CAP in the population with varying characteristics was analyzed using LASSO regression, multifactorial logistic regression, and linear trend tests. …”
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Analysis of related factors influencing prognosis of patients with peritoneal dialysis-associated peritonitis by ZHANG Ming-zhu, LIU Ya, JIN Bin-bin, DAI Chun

“…According to the prognosis of PDAP patients, they were divided into three groups: cure group, withdrawal(extubation, death) group, and relapse(repeat, recurrence or reappearance of peritonitis after treatment) group. Multiple logistic regression analysis was used to analyze the independent risk factors affecting prognosis.Results A total of 133 peritonitis cases in 78 selected peritoneal dialysis patients included 81 cases in the cured group, 26 cases in the withdrawal group, and 26 cases in the relapse group. …”
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Psychological Network Analysis for Risk and Protective Factors of Problematic Social Media Use by Suzan M. Doornwaard, Vladimir Hazeleger, Ina M. Koning, Albert Ali Salah, Sven Vos, Regina J. J. M. van den Eijnden

“…To address these gaps, this study combines logistic regression and psychological network analysis to examine which personal, parent, and peer factors are most relevant in identifying at-risk/problematic social media use among adolescents. …”
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Analysis of Risk Factors Affecting Skin Mastocytosis in Children: Cross-Sectional Study by Elena I. Kasikhina, Larisa S. Kruglova, Mariya O. Vashchenko, Roman Y. Mayorov

“…The aim of the study was to analyze risk factors associated with clinical manifestations and regression time of skin mastocytosis in children.Methods. …”
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Analysis of influencing factors of increased intracranial pressure in patients with cerebral venous thrombosis by DING Hong-yan, XIE Ya-nan, DONG Qiang

“…The clinical data of the patients were analyzed, and univariate and multivariate stepwise Logistic regression analyses were used to screen the influencing factors for increased ICP. …”
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Related Factor Analysis and Nursing Strategies of Diarrhea in Critically Ill Patients with Enteral Nutrition by Donglian Liu, Qinghong Liu, Xiansong Wen

“…By collecting clinical data, univariate and multivariate logistic regression analysis was used to screen the risk factors for diarrhea. …”
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Spatial and multilevel analysis of determinant factors for safely managed sanitation services in Ethiopia by Belay Desye, Abebe Kassa Geto, Chala Daba, Anmut Endalkachew Bezie, Semere Reda, Tadesse Sisay, Melaku Getachew, Leykun Berhanu

“…SaTScan version 10.2.5 software was used for detecting and analyzing clusters. To identify determinant factors of unimproved sanitation services, a multilevel logistic regression model was employed. …”
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Comparing importance-performance analysis and three-factor theory in assessing rider satisfaction with transit by Jason Cao, Xiaoshu Cao

“…For the three-factor theory, the importance grid yields more plausible results than regression with dummy variables. …”
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Risk factor analysis of chronic kidney diseases using based on case control study by CHEN Zhi-hong, LU Chun-jian, YUAN Chang-jian, CAI Yu-chun, YI Wu-yong

“…Through the retrospective analysis of the clinical data and the questionnaire(the main content is the life state of the last year), the relevant risk factors that affect onset of CKD were analyzed, such as basic conditions, infection in the last year, hyperlipidemia, hypertension, diabetes, hyperuricemia,hyperuricemia, cardiovascular diseases. eating habits, sports habits,etc. …”
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Analysis of the incidence of post-cholecystectomy diarrhea and its influencing factors in Hainan Province by Fengjiao Mao, Daya Zhang, Xianfeng Huang, Da Li, Wenrui Chen, Fan Zeng, Chen Chen, Shimei Huang, Yanting Lv, Yuliang Huang, Runyu Chen, Ying Mo, Qiuli Nie, Shuo Zhou, Xiaodong Zhang, Qicen Yao, Yiping Du, Bo Ran, Yan Tan, Na Liu, Yunqian Xie, Feihu Bai

“…Binary logistic regression analysis showed that age (OR = 0.532, P = 0.010), BMI (OR = 40.615, P < 0.001), dietary patterns (OR = 0.635, P = 0.013), and history of diabetes (OR = 0.263, P < 0.001) were independent risk factors. …”
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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

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Analysis of sleep quality and influencing factors in migraine patients with patent foramen ovale by Hu Yijun, Zhang Diwen, Wang Libo, Liu Bo, Ye Hongmei, Zhao Xiongfei

“…PFO patients was diagnosed through c-TCD combined with c-TTE. Binary logistic regression analysis was employed to examine the influencing factors of sleep quality in PFO-positive migraine patients.ResultsA total of 673 （100.00%） migraine patients were enrolled， including 223 PFO-positive cases （33.14%） and 450 PFO-negative cases（66.86%）. …”
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