Analysis of Normal Stopping Behavior of Drivers at Urban Intersections in China by Tian Yuan, Rui Liu, Xuan Zhao, Qiang Yu, Xichan Zhu, Shu Wang

“…The effects of traffic state and traffic density on approach speed and reaction distance were studied using one-way ANOVA, and the relationships between maximum deceleration, average deceleration, braking duration, and influencing factors were analyzed using hierarchical multiple regression. …”
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Correlation Analysis of Serum TYROBP Level and Metabolic Indexes of Obesity by Xiao Z, Han G, Gao Y, Li G, He J, Li H, Liu X, Wang J, Yang C

“…The results of multivariate logistic regression analysis showed that TYROBP (OR:5.455 [1.283– 23.185], p=0.022) was an independent risk factor for obesity (p< 0.05).Conclusion: TYROBP is highly expressed in obese patients, indicating its potential as an independent risk factor for obesity and demonstrating diagnostic value for obesity with metabolic disorders.Keywords: transmembrane immune adaptor, weight-adjusted waist index, WWI, skeletal muscle index, SMI, visceral fat level, VFL, atherogenic index of plasma, AIP…”
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Analysis of Determinants of Anemia Incidence in Third Trimester Pregnant Women by Megawati Sinambela, Alfi Syahri, Rotua Sumihar Sitorus

“…Multivariate analysis identified nutritional status (p=0.00; Exp(B)=16.69) and ANC visit compliance (p=0.00; Exp(B)=14.51) as the most dominant factors influencing anemia. …”
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Econometric Analysis of the Effectiveness of Government Incentive Measures for the Development of the Region by I. V. Tregub, M. Iaco

“…The authors apply the method of correlation-regression analysis. The scientific novelty lies in the development of an econometric model based on statistical data of the constituent entities of the Northwestern Federal District to forecast the levels of regional domestic product and consumer spending per capita. …”
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Analysis and Prediction of CET4 Scores Based on Data Mining Algorithm by Hongyan Wang

“…This paper presents the concept and algorithm of data mining and focuses on the linear regression algorithm. Based on the multiple linear regression algorithm, many factors affecting CET4 are analyzed. …”
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Predictive features analysis and nomogram construction for predicting depression in elderly patients by Wei Lin, Zijun Zhao, Yingshan Yu, Hongbin Chen

“…We collected patients’ basic information and CGA results and analyzed them using univariate and multivariate regression. …”
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Analysis of pseudoscientific beliefs in quantum mechanics of high school students and teachers by Walter Sciarretta, Maria Bondani, Silvia Galano, Massimiliano Malgieri, Pasquale Onorato, Italo Testa

“…The data collected were analyzed using the following methods: confirmatory factor analysis to establish the validity of the instrument; multiple correspondence analysis, to transform categorical variables measuring sociocultural background into continuous variables; repeated measures analysis of variance and linear regression to describe which factors most influence students’ and teachers’ pseudoscientific beliefs. …”
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Barriers to Long-Term Adherence in Botulinum Toxin Therapy for Post-Stroke Spasticity: Insights and Implications from a Single-Center Study in North Italy by Ester Cecchella, Nicola Luigi Bragazzi, Filippo Cotellessa, William Campanella, Luca Puce, Lucio Marinelli, Antonio Currà, Cristina Schenone, Laura Mori, Carlo Trompetto

“…This retrospective observational study analyzed 106 patients undergoing botulinum toxin therapy for post-stroke spasticity to identify the key factors influencing treatment continuation. …”
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Pharmacovigilance analysis of drug-induced hypertrophic rhinitis using FAERS data by Yan He, Xinzhou Yan, Long Chen, Zhiqiang Lin

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Clinical features, treatment and prognosis analysis of distant metastatic esophageal cancer by Shuang Li, Yanwei Lu, Ruiqi Liu, Luanluan Huang, Ding Nan, Xiaoyan Chen, Wenjie Xia, Xiaodong Liang, Haibo Zhang

“…Univariate and Multivariate regression analysis showed that T-stage, M-stage, primary site, surgery, chemotherapy, and radiotherapy were independent prognostic factors affecting the prognosis of distant metastatic EC (P < 0.05). …”
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ANALYSIS OF WOMEN ENTREPRENEURSHIP DEVELOPMENT IN AGRIBUSINESS SECTOR IN BENUE STATE, NIGERIA by Chidinma Rosemary OKEZIE, Anthony JOSHUA

“…Descriptive statistics and probit regression model technique were used to analyze the data collected. …”
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SENTIMENT ANALYSIS OF JAKLINGKO APP REVIEWS USING MACHINE LEARNING AND LSTM by Maghfiroh Maulani, Windu Gata

“…Previous research has analyzed user satisfaction with digital transportation applications, highlighting factors such as ease of use, service reliability, and the effectiveness of fare systems. …”
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Cellular senescence-associated genes in rheumatoid arthritis: Identification and functional analysis. by You Ao, Qing Lan, Tianhua Yu, Zhichao Wang, Jing Zhang

“…We explored the roles of these DEGs in cellular senescence through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. We then pinpointed three key genes (DHX9, CYR61, and ITGB) using random forest and LASSO Cox regression machine learning techniques. …”
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Systematic Review and Meta-Analysis of Inflammatory Biomarkers in Individuals Exposed to Radon by Anel Lesbek, Yasutaka Omori, Meirat Bakhtin, Polat Kazymbet, Shinji Tokonami, Nursulu Altaeva, Danara Ibrayeva, Yerlan Kashkinbayev

“…This systematic review investigates inflammatory biomarkers in individuals exposed to chronic radon exposure and conducts a meta-analysis on serum C-reactive protein (CRP) and tumor necrosis factor-alpha (TNF-α) levels. …”
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Mendelian Randomization Analysis of Correlation Between Interleukin and Risk of Gynecological Tumors by Xinying ZHOU, Hu ZHANG, Haiyan DAI

“…Two-sample MR analysis was applied, different interleukins were used as exposure factors, significant SNP in GWAS data were selected as instrumental variables, and the instrumental variables were independent of each other. …”
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Analysis of Massive Transfusion Protocol Utilization in Trauma Across Sociodemographic Groups by Monique Arnold, Bharti Sharma, Matthew Conn, Kate Twelker, Navin D. Bhatia, George Agriantonis, Jasmine Dave, Juan Mestre, Zahra Shafaee, Jennifer Whittington

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Analysis of serum phosphorus achieved standard state in maintenance hemodialysis patients by YANG Ling, JIANG Xiao-lan, LIU Bin, SUN Yan-ling, XU Meng-bei, MIN Rui, BAI Fan, YANG Yan-ling

“…Objective To know the situation of serum calcium and phosphorus achieved standard state in maintenance hemodialysis(MHD)patients through analyzing the clinical data of MHD patients in Kunming Blood Purification Center of the First Peoples’ Hospital of Kunming City.To investigate nutritional status and short term prognosis in different serum phosphorus level groups of those MHD patients,so as to select appropriate method of serum phosphorus intervention.Methods 173 MHD patients were enrolled in this study.The indexes named serum phosphorus,serum calcium,intact parathyroid hormone(iPTH),serum albumin(Alb),cholesterol(TC),and body mass index(BMI)were tested every three months for and continued six times.The average value for each index was calculated.Four groups were set up according to the average values of serum phosphorus:low phosphorus,standard phosphorus,high phosphorus,and ultra-high phosphorus groups,respectively.T-test,chi-square test and rank sum test were used to analyze the case fatality rate,nutritional status and other indexes.Logistic regression was used to analyze the related factors.Results Various indexes achieved standard rate in total 173 patients was 42.2%in serum phosphorus,67.6%in serum calcium,52.6%in iPTH,67.6% in calcium-phosphorus product,43.4% in ALB,64.7% in TC and60.7%in BMI,respectively.The serum phosphorus,calcium and iPTH together achieved standard rate was only 15.6%(27/173).The case fatality rate of the four groups was the highest in the low phosphorus group(32.6%)and the lowest in the standard phosphorus group(10.9%),but no statistically significant difference existed between them(P>0.05).The ALB level was the highest in the high phosphorus group(55.6%),and the lowest in the low phosphorus group(15.8%).As compared with standard phosphorus group,only the low phosphorus group has statistically difference was found(P<0.05)for Alb in four groups.Univariate analysis showed that age,Ca,P,iPTH and TC were significantly related with the case fatality rate.Logistic regression analysis showed that only the age and TC had statistically significant correlation with case fatality rate.Conclusions In MHD patients,the incidence of serum calcium and phosphorus metabolism disorders and malnutrition is high.In view of the nutrition and serum calcium and phosphorus metabolism status,serum phosphorus control in standard state was not the best.It implies that the control method of serum phosphorus should be emphasized on the phosphorus reduction by drug and adequate dialysis.In the period of low phosphorus diet,the nutritional status should be taken into account.Both serum calcium and phosphorus metabolism and nutritional status achieved standard state is more beneficial to patients.…”
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Analysis of the Current State and Prospects for the Development of the Tourism Services Market in China by E. A. Kuklina, Hefei Wang

“…Methodological basis and research methods: systematic approach, logical analysis, synthesis, cluster and regression analysis, content analysis of open sources.Results. …”
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An analysis of drug resistance among people living with HIV/AIDS in Shanghai, China. by Fengdi Zhang, Li Liu, Meiyan Sun, Jianjun Sun, Hongzhou Lu

“…<h4>Methods</h4>A retrospective cohort study of HIV-infected patients who visited the Department of Infectious Disease from June 2008 to June 2015 was conducted in Shanghai, China. Logistic regression analysis was performed to analyze risk factors for drug resistance among HIV-infected people with virological failure. …”
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An Analysis on Tendency Components on Strategic Approach in the Process of Urban Planning in Iran by Hosseini Mahnaz, Ghadami Mostafa

“…Besides the statistical models are used to analyze the data obtained from single-sample T (One T sample test) and linear regression analysis (Linear. …”
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