Determinant Factors Of Electric Bicycle Purchase Decisions: Evidence From Indonesia by Sulismawati Sulismawati, Ida Nuryana

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The Factors Influence the Biosecurity Management of Swine Farm in Mekong Delta, Vietnam by Nguyen Thi Anh Thu, Budi Guntoro

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Cognitive Disorders Awareness and Associated Risk Factors in Xizang Autonomous Region by HAO Yu, WANG Junshan, ZHUO Ma, SUOLANG Quzhen, JI Shiyong, HU Yaxiong, DING Zhijie, CIDAN Zhuoga, YUAN Jing, ZHAO Yuhua

“…Demographic information and data on awareness of cognitive disorders were collected, and an ordered Logistic regression model was used to analyze influencing factors in the overall population and stratified by occupation.ResultsA total of 327 questionnaires were collected, with 14 excluded (13 for not meeting residency requirements and 1 for self-reported diagnosis of cognitive impairment), leaving 313 valid questionnaires. …”
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The Impact of Resource Efficiency (5M) on Bore Pile Work Productivity by Jojok Widodo Soetjipto, Diah Ayu Restuti Wulandari, Alvira Yong Wenda Damayanti

“…Factor coefficient model calculations were carried out to measure the influence of each constraint factor on productivity. …”
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MAIN FACTORS AFFECTING CLASS MANAGEMENT ABILITY IN ISLAMIC PRIMARY SCHOOL by Nazilatul MIFROH, Siti FATONAH

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Factors Contributing to the Married Men’s Attitudes Towards Wife-beating in Indonesia by Dyah Hapsari Ekonugraheni, Eva Lydia, Yusnaini Yusnaini, Mery Yanti

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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

“…Therefore, this study aimed to analyze the clinical features and death risk factors of patients with mushroom poisoning. …”
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A machine learning framework for predicting healthcare utilization and risk factors by Yead Rahman, Prerna Dua

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Investigation on influencing factors and prognosis of complicated infection in patients with maintenance hemodialysis by YU Qian, LI Xiao-ying, WU Xin, MIN Ya-li, CHEN Song, ZHANG Chun, PAN Zhi-yu, HUANG Yun, QU Ling-ling, LUO An-dian

“…Objective To know about influencing factors of complicated infection in patients with maintenance hemodialysis(MHD),and to understand characteristics,prognosis and influencing factors of complicated infection in patients with MHD.Methods Clinical data of MHD patients hospitalized in Guiyang First People’s Hospital from January 2012 to December 2017 were collected,and divided into the infection group and the non-infection group based on presence of complicated infection.General information and laboratory test results of these patients were collected,so as to analyze infectious factors in them and summarize types of pathogens and infections in them.Based on prognosis of these patients with MHD,they were divided into the good prognosis group and the poor prognosis group,so as to analyze influencing factors of their prognosis.Results Through comparison of the data between the infection group and the non-infection group,it was found that the risk for complicated infection increased significantly for those patients with a primary disease of diabetic nephropathy.Kt/V<1.2,and use of a ferric preparation,hemoglobin<110 g/L and albumin<40 g/L in recent 3 months(P<0.05).In the MHD patients hospitalized due to infection,the most common infectious bacteria included Klebsiella pneumoniae,Acinetobacter baumannii,Pseudomonas aeruginosa and,staphylococcus aureus,and infection of the respiratory system is the most common.Multi-factor regression analysis revealed that the factors influencing prognosis of complicated infection in the patients with MHD included age>65,bed time>10 days,requirement for blood transfusion,multiple drug-resistant bacterial infection,and malnutrition,with statistically significant difference(P<0.05).Conclusions Primary diabetic nephropathy,Kt/V<1.2,and use of a ferric preparation,hemoglobin<110 g/L and albumin<40 g/L in recent 3 months are the risk factors of complicated infection in MHD patients;infection of the respiratory tract is the most common;and,age>65,bed time>10 days,requirement for blood transfusion,multiple drug-resistant bacterial infection and malnutrition are the hazardous factors of prognosis of complicated infection in patients with MHD.…”
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The effects of job satisfaction and organizational commitment on organizational citizenship behavior by Arif Partono Prasetio, Syahrizal Siregar, Bachruddin Saleh Luturlean

“… The service quality is always the main factor for organization which focuses on the customer satisfaction to enhance their business and their performance. …”
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The effects of job satisfaction and organizational commitment on organizational citizenship behavior by Arif Partono Prasetio, Syahrizal Siregar, Bachruddin Saleh Luturlean

“… The service quality is always the main factor for organization which focuses on the customer satisfaction to enhance their business and their performance. …”
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Influencing factors of cross screening rate and its intelligent prediction model by Lala ZHAO, Feng XU, Chenlong DUAN, Chenhao GUO, Wei WANG, Haishen JIANG, Jinpeng QIAO

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Factors affecting hematological parameters in Creole goats on the Southern Coast of Peru by Jhony Soca, Emmanuel Alexander Sessarego, Pamela Sarmiento, María José Cevallos-Cardenas, Juan Canchino-Gutierrez, Jose Teran, Jose Antonio Ruiz, Juancarlos Cruz-Luis, Danny Julio Cruz

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Village saving loan association membership and commercialization among smallholder maize farmers in northern Uganda by Sarah F. Achieng, Caleb I. Adewale, D. M. Okello, B. Mugonola

“…Data were collected from 420 randomly selected smallholder maize farmers and were analyzed using binary logistic and Tobit regression models. …”
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Comprehensive Analysis of the Driving Forces Behind NDVI Variability in China Under Climate Change Conditions and Future Scenario Projections by Ao Li, Shuai Yin, Nan Li, Chong Shi

“…In response to these issues, this study analyzed China’s normalized difference vegetation index (NDVI) data from 2001 to 2023, exploring vegetation cover trends, driving factors, and predicting the impact of future climate change. …”
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The predictive value of the CONUT score combined with the A2DS2 scale for post-ischemic stroke infection by Zhang Yongqing, Zhang Wei, Zhou Yiwu

“…Multivariate logistic regression analysis was used to identify independent risk factors for PISI. …”
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The use of electric scooters during COVID-19 lockdown in Kuwait: safety considerations by Sharaf Alkheder

“…Design/methodology/approach – To select the best solution, a survey of 20 questions was created and analyzed. Besides, logistic regression has been used to identify the factors that have an impact on the probability of an accident. …”
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STUDY ON THE INTERNAL CRACK STRESS STRENGTH FACTOR OF WELDED JOINTS OF HIGHSPEED RAIL BOGIES

“…By changing the geometric parameters such as the size,shape ratio and depth of semi-elliptical surface cracks and elliptical buried cracks in cross-welded joints and oblique welded joints commonly used in high-speed rail bogies,the influence of the geometric parameters on the type I stress intensity factor KI at the crack front was analyzed by a contour integral method.A mathematical expression for solving KI was fitted by a multivariate nonlinear regression method,and the sensitivity of KI to the change of crack size and shape ratio was analyzed by a countour integral method.The results show that KI increases with the increase of crack and gradually diverges or converges according to the difference of joint and crack form.KI decreases and converges gradually with the increase of the crack shape ratio.The location of the maximum point of KI was determined by crack size,crack shape ratio and crack location.The error of the fitted mathematical expression for solving KI was within 5%,and the accuracy is high.Among the four crack forms,the sensitivity of the surface crack KI of the cross joint to the crack shape ratio is obviously lower than that of the other three crack forms,and the sensitivity of the buried crack of the oblique joint to the crack size is obviously higher than that of the other three crack forms.…”
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Correlation and Prediction Analysis of Cyanobacteria with Water Environment Data by Sang-Leen Yun

“…The primary objective was to establish correlations between various environmental factors and validate the utility of predicting algae(cyanobacteria) occurrences. …”
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Intracranial aneurysm location: potential influencing factor in ruptures with internal carotid artery occlusion by Pengran Liu, Limei Mao, Bangyue Wang, Jing Guo, Hui Dai, Yan Zhao, Hao Yin, Xihai Zhu, Wentao Dong, Shujie Liu, Xinyu Yang, Xiaojun Zhang

“…We collected population demographic characteristics and clinical data using a standardized case questionnaire from CMAD. Binary logistic regression analysis was used to identify risk factors for rupture of UIA associated with combined ICAO. …”
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