High resolution models of transcription factor-DNA affinities improve in vitro and in vivo binding predictions. by Phaedra Agius, Aaron Arvey, William Chang, William Stafford Noble, Christina Leslie

“…Accurately modeling the DNA sequence preferences of transcription factors (TFs), and using these models to predict in vivo genomic binding sites for TFs, are key pieces in deciphering the regulatory code. …”
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Timing of sepsis is an important risk factor for white matter abnormality in extremely premature infants with sepsis by Ju Sun Heo, Ee-Kyung Kim, Young Hun Choi, Seung Han Shin, Jin A Sohn, Jung-Eun Cheon, Han-Suk Kim

“…Methods: Extremely premature infants with culture-proven sepsis between 2006 and 2015 in a tertiary neonatal intensive care unit were classified as having none-to-mild or moderate-to-severe WMA based on WM scores of brain magnetic resonance imaging at the term-equivalent age. Various risk factors for WMA were analyzed. Results: Sixty-three infants (87.5%) had none-to-mild WMA, and nine infants (12.5%) had moderate-to-severe WMA. …”
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The Epidemiology of Hypertension in Uganda: Findings from the National Non-Communicable Diseases Risk Factor Survey. by David Guwatudde, Gerald Mutungi, Ronald Wesonga, Richard Kajjura, Hafisa Kasule, James Muwonge, Vincent Ssenono, Silver K Bahendeka

“…Prevalence rate ratios (PRR) using modified Poison regression modelling was used to identify factors associated with hypertension.…”
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Risk factor analysis and nomogram development for advanced-stage hepatic fibrosis in patients with Wilson’s disease by Jiafeng Zhou, Jiafeng Zhou, Zuolong Li, Junwei Wang, Zhenzhen Jiang, Tao Wang, Tianyu Xie, Liangchen Wang, Shuai Kang, Zhuang Tao, Meixia Wang

“…Identification of the independent risk factors for advanced hepatic fibrosis in WD was conducted through univariate and multivariate Cox regression analyses, followed by the construction of the clinical predictive model. …”
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Controlled Blood Pressure Factors in Hypertension Patients at Arifin Achmad Hospital, Riau Province: Cross Sectional Study by Dimas Pramita Nugraha, Eka Bebasari

“…Methods.This research was conduct by using an observational method with a cross-sectional study design to analyze factors for controlled blood pressure. The population of this research was all of the hypertension patients at the internal medicine polyclinic in Arifin Achmad Hospital Riau Province. …”
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A Study of the Risk Factors Associated with the Death of Surabaya Embarkation Hajj Pilgrims in 2023 by Ityan Nuril Sofia Imamah

“…Data were assessed using chi-square tests and Cox regression analysis. The findings indicate that age, hypertension, and diabetes mellitus are the most significant factors associated with mortality. …”
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Carbon factor inventory and weight in rural communities: a case study of Linpan in western Sichuan by Yujie He, Pingjuan Zou, Lei Xu, Rui Peng, Hang Chen, Congshan Tian, Lili Zhang

“…Principal component analysis (PCA) and multiple regression analysis were used to construct regression models for carbon factors and their related indicators in 5 dimensions, and the weights of carbon factors in each dimension were sorted to determine the most significant carbon factor indicators within each research scope. …”
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Sarcopenia as a Risk Factor in Patients Undergoing Transjugular Intrahepatic Portosystemic Shunt (TIPS) Implantation by Laura Büttner, Annette Aigner, Regina Stegherr, Simon Iseke, Martin Jonczyk, Willie Magnus Lüdemann, Timo Alexander Auer, Federico Collettini, Dirk Schnapauff, Maximilian de Bucourt, Bernhard Gebauer, Dominik Geisel, Georg Böning

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Predicting hypertension through big five personality traits: a four-year longitudinal study in Japan by Sixin Deng, Juan Ignacio López, Junyi Xue, Atsushi Oshio

“…Abstract Objective Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide, with hypertension being the most prevalent and modifiable risk factor. This study aims to examine the role of the Big Five personality traits in predicting hypertension risk in a Japanese cohort over a four-year period. …”
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ENGLISH-A PERCEPTION ANALYSIS OF CUSTOMER’S SENSITIVITY TO INTEREST FACTOR IN CONTEMPORARY ISLAMIC BANKING IN PAKISTAN by Muhammad Kaleem, Hafiz ullah

“…In addition to cross tabulation, Analysis of Variance and Regression were used to analyze the data. The result of the study indicates that customer have almost the same perception about interest factor in Islamic banks as in other conventional banks. …”
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Market participation of irrigated smallholder vegetable farming in the Eastern Cape, South Africa by Lelethu Mdoda, Ajuruchukwu Obi, Lungile Gidi, Douglas Kibirige

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Spatiotemporal Evolution and Obstacle Factor Analysis of Land Ecological Security in the Surrounding Areas of Beijing, China by Yutong Wang, Jianyu Yang

“…The obstacle degree model identifies constraining factors, and geographically weighted regression analyzes spatial heterogeneity. …”
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Causes and risk factors of deaths in maintenance hemodialysis patients with end-stage renal disease by ZHOU Kang-kang, ZHANG Jun-yu, ZHOU Hong-wei

“…Objective To analyze the causes of deaths in maintenance hemodialysis patients and to explore the risk factors associated with deaths. …”
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Factor Analysis of Game Addiction, Playtime, and Craniovertebral Angle on Musculoskeletal Disorders among Esports Players by Nanda Maulana Riszki, Farid Rahman

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Spatio-Temporal Variation and the Associated Factor Analysis of Net Primary Productivity in Grasslands in Inner Mongolia by Zilong Qin, Weiyao Guo, Zongyao Sha

“…However, few studies have examined the long-term variations in the NPP in the IMAR and quantified the effects of natural factors and human activities on the NPP. The study modeled the net primary productivity (NPP) of the IMAR’s grasslands using the Carnegie–Ames–Stanford approach (CASA) model and employed linear regression, trend analysis, and spatial statistics to analyze the spatio-temporal patterns in vegetation productivity and explore the impact on the NPP of natural and socio-economic factors over the past two decades. …”
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Internal Migration of Youth in Megacities as a Factor Influencing the Migration of Youth Abroad (on the Example of Almaty) by A. K. Jussibaliyeva, D. M. Iskakova, A. A. Kurmanalina, B. B. Duisenbayeva, D. B. Iskakova

“…The methodology of this study is based on the method of Everett S. Lee. It analyzes factors influencing the internal migration of young people to cities with a population of one million. …”
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Predicting relapse after achieving a functional cure for chronic hepatitis B (CHB) using baseline HBsAg and end-of-treatment HBsAb levels by Lianxiu Han, Zilong Wang, Luyang Kang, Xiaoling Cui, Yi Li, Huafa Yin, Yufeng Gao, Jiabin Li

“…Multivariate logistic regression analysis revealed that a baseline serum HBsAg concentration ≥ 100 IU/mL was a risk factor for recurrence, and an EOT serum HBsAb concentration ≥ 500 mIU/mL was a protective factor for recurrence. …”
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Association of serum chemerin,tumor necrosis factor-α and type 2 diabetic kidney disease by WU Meng-shui, NING Cui-li, LIU Kuan-zhi

“…Objective To examine the level of serum chemerin and TNF-α in different stages of type 2 diabetic kidney disease(DKD) patients and explore the pathogenesis of DKD.Methods Fortyfive normal subjects(NC group) and 133 patients with type 2 diabetes mellitus(T2DM) were enrolled in this study.The T2DM patients were divivded into three subgroups:simple T2DM(SDM) group(n= 47),microalbuminuria(mic-DKD) group(n = 41) and macroalbuminuria(mac-DKD) group(n=45) according to the urinary albumin creatinine ratio.The levels of serum chemerin and TNF-α were determined by ELISA.Logistic regession model was used to analyze the risk factors of DKD.Results Serum chemerin concentration and serum TNF-α concentration in NC group,SDM group,mic-DKD group and mac-DKD group were(34.14 ± 7.54),(38.23 ± 5.48),(42.69 ± 8.05) and(47.32 ±9.11) ng/ml,and(103.99 ± 20.43),(134.42 ± 27.31),(165.48 ± 32.63) and(227.53 ± 58.31)ng/L,respectively.The levels of chemerin and TNF-α were increased gradually from NC group,SDM group,mic-DKD group to mac-DKD group with the difference being statistically significant between each two groups(all P<0.05).The serum chemerin was positively correlative with TNF-α,hs-CRP,HbAlc,SCr and duration,but negatively correlated with HDL-G The serum TNF-α was positively correlated with urinary ACR,HbAlc,hs-CRP,SCr,LDL-C and duration,but negatively correlated with HDL-G Logistic regression analysis revealed that chemerin,TNF-α,WBC,age,HbAlc,lower HDL-C and hypertension were independent risk factors of DKD.Conclusions Chemerin and TNF-α were involved in the pathogenesis of DKD,and their levels may reflect a degree of severity for DKD.…”
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Study on the Influence of Inertial Force on the Performance of Aerostatic Thrust Bearings by Shuo Jia, Chenhui Jia, Yanhui Lu

“…Finally, in the multi-factor analysis, the sample regression equation of relative error of bearing capacity and relative error of restoring torque is established by using the multiple regression analysis method. …”
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How Do Educational Settings Influence College Students’ Reading Behavior? An Empirical Study of China’s Top Universities by Chen Jiang, Yingxue Yang, Xilin Yuan, Liling Sun

“…This study analyzed a logistic regression model based on 1667 samples from 19 top universities in China, followed by cross-analysis using contingency tables. …”
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