Entrepreneurial Orientation Impact on Entrepreneurial Behavior in the Service Industry by Fayeq Ali Ali

“…A sample size of 138 restaurateurs was analyzed for variable reliability, demographic, and descriptive statistics with testing items for inclusion by using the statistical tool of one sample t-test and validating the concept based on the factor analysis factor loading. …”
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The relationship between fibular head height and lower limb alignment deviation and severity after TKA for varus deformity knee osteoarthritis. by Xun Qin, Hengzhi Liu, Yinghao Liu, Aixin Hu

“…In the multiple linear regression with postoperative HKA angle as the dependent variable, fibular head height and preoperative HKA angle were identified as significant factors influencing the postoperative HKA angle (p < 0.05).…”
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Clinical value of mean platelet volume/lymphocyte ratio and degree of coronary artery disease in patients with chronic kidney disease by Li Ying-bin, Li Sheng-kai

“…ObjectiveTo investigate the relationship between mean platelet volume to lymphocyte ratio （MPVLR） and the degree of coronary artery disease in patients with chronic kidney disease （CKD） and its clinical significance.MethodsThe clinical data of 111 patients with chronic kidney disease diagnosed by coronary angiography in our affiliated hospital in recent 6 years were analyzed retrospectively.The Gensini scoring was used to assess the severity of coronary artery disease.The data were divided into three groups： group A （mild，29 cases） had 0-30 points；Group B （moderate，23 cases） had 31-60 points，and group C （severe，59 cases） had &gt;60 points.First，the related factors affecting coronary artery disease were analyzed by univariate analysis.On this basis，the risk factors and protective factors were determined by Logistic regression analysis.Finally，the predictive value was determined by ROC curve.ResultsUnivariate analysis showed that there was no significant difference in general data among the 3 groups （<italic>P</italic>&gt;0.05），but there were significant differences in laboratory indicators such as albumin，uric acid，high density lipoprotein cholesterol （HDL-C） and MPVLR （<italic>P</italic>&lt;0.05）.High MPVLR level was an independent risk factor for high Gensini integration （<italic>OR</italic>=1.115，95%<italic>CI</italic> 1.009-1.239，<italic>P</italic>=0.047），and HDL-C was a protective factor.ConclusionsIn patients with chronic kidney disease，high MPVLR is an independent risk factor for the severity of coronary artery disease，and has the application value in predicting the severity of coronary artery disease.…”
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Correlation between iron accumulation and sarcopenia in middle-aged and elderly populations by Mahamane Rahoufou Tounaoua, Honggu Chen, Zakari Shaibu, Zhao Guo-yang

“…Results There were 110 participants, including 44 males and 66 females. Binary logistic regression analysis indicated that serum ferritin level was a risk factor for sarcopenia (OR = 1.005, 95% CI], 1.001, 1.009; P = 0.042. …”
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MODELING THE EFFECTIVENESS OF THE COCONUT DEVELOPMENT OFFICER (CDO) IN THE PARTICIPATORY COCONUT PLANTING PROJECT(PCPP) by Leomarich F. CASINILLO

“…This article aimed to pave an explanation of the effectiveness of CDO in coconut farmers' view and determine its influencing factors. Secondary data were utilized from the existing paper in the literature and analyzed using standard descriptive statistics and ordered logistic regression analysis. …”
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A Probabilistic Model of the Unidirectional Tensile Strength of Fiber-Reinforced Polymers for Structural Design by Jianqing Zhang, Ruikun Zhang, Yihua Zeng

“…It is believed that the statistical uncertainty can be modeled as a reduction factor, and the recommended value of such factor for engineering design practices is provided based on regression analysis.…”
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Enterprises’ activity results of the production sphere: analytical aspect by I.I. Svitlyshyn

“…Using the method of stochastic factor analysis, it is established that the main factors of formation of the enterprises’ activity results of the production sphere are the following: the level of personnel remuneration, the degree of capital and the degree of materiel. …”
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EGFR polymorphisms drive lung cancer risk and survival disparities: a genotype-expression-outcome cohort study by Chao Zuo, Ziqiang Wang, Yi Liu, Jing Cheng, Dongli Yang, Yu Wang, Yongchao Qiao

“…Chi-square test and logistic regression analysis were used to assess the susceptibility of LC. …”
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Association of baseline neutrophil-to-lymphocyte ratio with primary peritonitis in peritoneal dialysis patients by Hou Wen-juan, Tao Shu-man, Fang Wei-wei, Zhao Wen-man, Li Dan-dan, Liu Gui-ling

“…Objective To retrospectively analyze whether a high neutrophil-to-lymphocyte ratio（NLR）was associated with the risk of initial peritonitis in peritoneal dialysis（PD）patients.Methods A total of 119 patients with end-stage renal disease underwent PD catheterization from August 2013 to July 2018 and regular follow–ups were conducted.They were divided into the groups of high NLR（NLR≥2.65）and low NLR（NLR<2.65）according to the median baseline level of NLR.The clinical data of two groups were compared.Logistic and linear regression models were employed for analyzing the correlation between baseline serum NLR and the occurrence of initial peritonitis.The diagnostic value of NLR to PD-associated peritonitis（PDAD）was evaluated by ROC curve.Results A total of 119 patients were recruited.The incidence of peritonitis was higher in high NLR group.Univariate logistic regression revealed a higher risk of peritonitis at baseline with a high level of NLR（OR=2.555,95%CI 1.684～3.878,P<0.01）had a higher risk of peritonitis.Multivariate analysis indicated that a high baseline level of NLR（OR=2.467,95%CI 1.439～4.232,P<0.01）was an independent risk factor for peritonitis.Univariate linear regression analysis showed that a high baseline level of NLR（standardized β=-0.352,P<0.01）was negatively correlated with dialytic age;multivariate linear regression analysis indicated that a high baseline level of NLR（standardized β=-0.340,P<0.01）was an independent risk factor for dialytic age.The area under the ROC curve was 0.813 when peritonitis predicted by baseline NLR peritonitis（P<0.01）and the maximal index was 0.595（sensitivity and specificity 71.4% and 88.1% respectively）.The corresponding optimal cut-off point was 3.64.Conclusions Higher serum baseline level of NLR is associated with an elevated risk of PDAP.…”
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Correlation between triglyceride glucose-waist-to-height ratio and advanced cardiovascular-kidney-metabolic syndrome by Xingxing REN

“…Multivariate logistic regression was used to analyze the correlation between TyG-WHtR and advanced CKM syndrome, adjusting for variables such as age, sex, race, education level, poverty-income ratio (PIR), smoking status, and alcohol consumption. …”
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Clinical significance of androgen receptor in unilateral invasive breast cancer in women by Menghan Cao, Di Pan, Yuqi Li, Zicheng Pei, Runbang Wang, Bo Zhang, Chaorong Bian, Qinghao Gu, Pengfei Qu, Chenchen Yu, Haonan Liu, Zhengxiang Han

“…The correlation between AR expression and clinicopathological features as well as prognosis was examined. Multifactorial analysis using Cox proportional risk regression identified independent prognostic factors for disease-free survival (DFS), and a nomogram model was developed based on these factors. …”
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Lower birth rate, greater female dementia risk: global and regional patterns and public health implications by Wenpeng You

“…Aims This study investigates the relationship between national birth rate and female dementia incidence globally, considering demographic and socioeconomic confounders.Materials & methods Data from 204 countries were analyzed using bivariate correlation, partial correlation, principal component analysis, and multiple linear regression. …”
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EMPLOYING DECENTRING TO ASSESS QUALITY OF SERVICES AND ITS CONTRIBUTION TOWARDS SATISFACTION by Usman YOUSAF, Mohsin ALTAF, Majid Mehmood BAGRAM, Haroon HUSSAIN

“…Factor analysis was also carried out so as to classify the most important dimensions for the students with respect to higher education in Pakistan. …”
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Association of secondary hyperparathyroidism with mild cognitive impairment in end-stage renal disease patients by Zhang Qian, Li Lu, Wen Shi-wei, Zhou Jian-wei, Du Yong

“…Objective To explore the relationship between secondary hyperparathyroidism（SHPT） and mild cognitive impairment（MCI）in end-stage renal disease（ESRD）patients.Methods A total of 287 renal replacement therapy patients were enrolled.Based upon the diagnostic criteria of SHPT,MCI patients were divided into SHPT and NSHPT groups.The relationship between intact parathyroid hormone（iPTH）level and MCI incidence in SHPT patients was analyzed by Spearman’s correlation analysis.Multivariate logistic regression was employed for examining the influencing factors of MCI.Occurrence of MCI or not and iPTH level were used as variables for plotting the receiver operating characteristic curve（ROC）and assessing the value of iPTH level for predicting MCI in ESRD patients.Results Among 189 MCI patients,the incidence rate was 65.9%（SHPT 82%）.Spearman’s correlation analysis revealed that the incidence of MCI rose with a higher level of iPTH（r=0.598,P<0.01）.Multivariate Logistic regression analysis showed SHPT,iPTH,25-hydroxyvitamin D\[25（OH）D\],alkaline phosphatase（ALP）,dialytic mode and urea clearance index（Kt/V）were influencing factors of MCI（P<0.05）.The results of ROC curve showed that the area under the curve of iPTH level predicting MCI in ESRD was 0.838 and the cutoff value was 492.25 ng/L with a sensitivity of 75.7% and a specificity of 95.9%.Conclusions SHPT is an influencing factor for MCI in ESRD patients.The higher the level of iPTH,the greater the incidence of MCI.Patients with iPTH levels>492.25 ng/L have an elevated risk of MCI.…”
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Relationship between hemoglobin variability with hospitalizations/mortality among maintenance hemodialysis patients by XU Feng-bo, SUN Yi, WANG Ying, GUO Zhen-ni

“…Objective To investigate the correlation between hemoglobin variability with hospitalizations/mortality of maintenance hemodialysis(MHD) patients.Methods In a retrospective study,we analyzed the hemoglobin variability and hospitalization and mortality of MHD patients from June,2012 to June,2014.Data of normal distribution were performed by analysis of variance.The X~2test with Yates correction and Fisher’s exact test were used for no-numerical date.Correlations between hemoglobin variability and age,dialysis age and mean hemoglobin were analyzed with Spearman’s correlation test.To predict the hospitalizations/mortality,logistic regression analysis was performed.Results In a total of 105 MHD patients,mean hemoglobin was(108.39±8.81)g/L,mean hemoglobin SD was(11.43±4.62)g/L.95.24%of patients had a high fluctation of hemoglobin.All the patients were divided into outpatients group(42 patients),in the hospital group(45 patients)and dead group(18 patients).The age of three groups were(64.02±13.02)years,(69.44± 13.47)years and(81.44±10.15)years respectively.The dialysis age of three groups were(9.23±6.42)years,(6.80±4.47)years and(4.98±3.00)years.The mean hemoglobin were(110.46±7.12)g/L,(108.51±8.12)g/L and(103.29±12.00)g/L respectively.Hemoglobin SD were(9.96±3.74)g/L,(11.98 ± 5.29)and(13.47 ± 3.73)g/L.The differences between three groups had statistically significance.Hemoglobin variability was significantly correlatied with the erythropoietin adjustments(r= 0.209,P = 0.032).Logistic regression analysis revealed that the dialysis age and hemoglobin SD were the influencing factors of hospitalizations/mortality.Conclusions Hemoglobin variability is common in MHD patients.High hemoglobin fluctuation is the risk factor predicting hospitalizations and mortality.…”
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The Structure of Challenging Parenting Behavior in Norwegian Parents to Children in Middle Childhood (7–10 years) by Rasmus Kleppe, Ole Johan Sando, Mirjana Majdandžić, Ellen Beate Hansen Sandseter

“…To evaluate the internal consistency and factor structure of the previously proposed theoretical model, Cronbach’s alpha and confirmatory factor analysis (CFA) were applied. …”
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Constitutive relationship between pore-permeability and molecular structure of bituminous coal based on the Kozeny-Carman equation. by Mingkun Pang, Tianyu Zhang, Lin Li, Tianjun Zhang, Hongyu Pan

“…The relationship between porosity and permeability was obtained by regression analysis as follows: K = 161 [Formula: see text] 2.1/(1 + 12 [Formula: see text] 2.1). …”
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The role of personality traits in predicting educational use of generative AI in higher education by Ibrahim Arpaci, Ismail Kuşci, Omer Gibreel

“…The data obtained using the Five Factor Personality and educational use scales were analyzed using linear regression. …”
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Modified frailty index predicts postoperative outcomes of Chinese elderly patients undergoing transforaminal lumbar interbody fusion by Yuhang Ma, Qiqi Wei, Xinglei Ben, Xiaozhong Zhou, Kelv Shen, Jiaming Qian, Yanming Hao, Zhengfeng Lu

“…Multivariate logistic regression analysis showed that mFI ≥ 0.27 was an important risk factor for postoperative complications (OR = 6.81, 95%CI: 1.90-24.47, P < 0.05), pulmonary complications (OR = 8.07, 95%CI: 1.02–63.70, P < 0.05) and wound complication (OR = 9.33, 95%CI: 1.19–73.31, P < 0.05).The AREA under the ROC curve of perioperative risk predicted by the mFI model was 0.685, which had a significant advantage than the evaluation indexes such as age, ASA and BMI (P < 0.05). …”
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Clinical applicability survey of the Clinical Pathway for Short Stature (2019 Edition) by XIAO Linqi, FENG Jiajia, PAN Hui, LUO Xiaoping, GONG Chunxiu, ZHANG Pan, ZHANG Yu, HAN Yong, LIN Likai

“…Kruskal-Wallis rank-sum test and Nemenyi test were used for multiple and pairwise comparisons. Multiple linear regression analysis combined with stepwise regression was used to analyze factors influencing the scores. …”
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