Influence Factors
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PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260616
Author(s):  
Man Luo ◽  
Xiaofang Zhang ◽  
Fang Peng ◽  
Jing Zhao ◽  
Haijun Deng

This study investigates international students’ acculturation attitude preference and the influence factors (i.e., gender, duration in China, host and English proficiency, adult attachment style and social ties) on each acculturation attitude (i.e, integration, assimilation, separation and marginalization attitude) in China. A group of 229 international students within China responded online. Results from cluster analysis based on process model of acculturation revealed that, integration was the most prevalent acculturation attitude of international students in China. Additionally, logistic regressions analysis indicated that duration in China was negatively associated with adoption of separation and marginalization attitude also higher level of English proficiency predicted the preference of marginalization attitude. However, Chinese proficiency was positively associated with integration attitude adoption, host ties were positively and significantly associated with adoption of assimilation and integration attitude, but negatively associated with the usage of marginalization attitude. Lastly, avoidance attachment was found negatively associating with the integration attitude. This study provides valuable insights for international student education policymakers to assist international students in order to adapt to a new environment quickly and effectively.


2021 ◽  
Author(s):  
Jasmin Nagl ◽  
Frank Patrick Schwarm ◽  
Michael Bender ◽  
Aylin Gencer ◽  
Harald Ehrhardt ◽  
...  

Abstract Paediatric hydrocephalus is a result of cerebrospinal fluid circulatory dysfunction and has diverse pathogeneses. This study investigates the epidemiology of paediatric hydrocephalus and influences of primary aetiology, type of implants, and of complications to develope new therapeutic approaches and strategies. Between 2013-2018 a retrospective analysis of 131 children, suffering from hydrocephalus, was conducted. Medical charts, operative reports and clinical follow-up visits were reviewed. Statistical analysis was performed using t-test/ANOVA and Kruksal-Wallis-test/ Mann-Whitney-U test. Most common pathogeneses of hydrocephalus among our patients were meningomyelocele associated and posthaemorrhagic. The majority received a programmable differential pressure valve (PP valve, 77.8%) or a fixed differential pressure valve with gravitational unit (FPG valve, 14.8%). Among 333 shunt associated surgeries 66% were performed because of mechanical shunt dysfunction (61%), infection (12%), or due to other reasons (27%). The median rate of revisions for each patient within one year was 0.15 (IQR25-75:0.00-0.68) and was influenced by aetiology (p=0.045) and used valves (p=0.029). The highest rates were seen in patients with posthaemorrhagic hydrocephalus and in those with FPG valve, the lowest in meningomyelocele associated hydrocephalus and PP valve. The occurrence of mechanical dysfunctions showed a relation to FPG valve (p=0.014). Furthermore, the median time interval between initial shunt surgery and infections was shorter than in mechanical dysfunctions (p=0.033). Conclusion: We could state several influence factors on revision surgeries in paediatric shunt patients. With the assessment of patients’ risk profiles, we can classify paediatric shunt patients and could avoid unnecessary examinations or invasive procedures. Furthermore, we could prevent revisions surgeries, if we choose shunt material in accordance with the patients’ associated shunt complications.


This paper attempts to explore the topic of the unemployment crisis among fresh graduates. The two main objectives of the study are to examine the influence factors of the unemployment crisis among fresh graduates in Malaysia, and the primary determinant of the unemployment has culminated in many policy implications for higher education. The unemployment rate among fresh graduates increased to 25% in 2020 than the year before, jumping from 13.8%. The null hypothesis is that employer preference, candidate attributes, and economic instability have no significant effect on the unemployment crisis. The information for the paper typically originates from a questionnaire survey method, with one hundred and thirty fresh graduates' participation in this study. The statistical approach is required to analyze numerical data using SPSS applications. Descriptive analyses such as frequency and simple percentages on demographic characteristics were used to analyze data. Inferential statistics such as linear bivariate correlation was used to test the formulated hypothesis. The finding demonstrated a significant association between employer preference, candidate attributes, and economic instability with the unemployment crisis. This finding would shed light on more preparation for fresh graduates' employability who preserve searching for a job by the education ministry. Hopefully, a revision in the academic higher education curriculum is considered to meet the job market's and stakeholders' needs for better graduate employability.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Claudette El Hajj ◽  
Germán Martínez Montes ◽  
Dima Jawad

PurposeThis paper researches the diffusion patterns of various BIM functionalities across the Middle East and North Africa (MENA) construction industry.Design/methodology/approachThe study grounds on the innovation diffusion theory proposition that both the internal and external factors drive the widespread adoption of innovative trends. The study empirically analyzes the diffusion patterns of BIM by employing and comparing three mathematical influence models: internal, external and mixed models.FindingsThe results of the questionnaires point out that the mixed model as having the highest explanatory power and shows that the internal influence factors outperform the external factors in affecting the diffusion of BIM functionalities in the MENA Architectural, Engineering, and Construction (AEC) industry.Research limitations/implicationsThis paper can be of significant value for academic researchers as well as BIM business developers who are interested in emerging markets via providing an enhanced understanding of the adoption process of different BIM functionalities as well as a theoretical basis for explaining the diffusion patterns of information technology innovations in the AEC industry.Originality/valueThis study is among the first applications of the influence models to examine the adoption of BIM functionalities in the AEC industry and the very first across the MENA region.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Danyang Dong ◽  
Yi Yu ◽  
Huahua Zhao ◽  
Pengzi Chu ◽  
Hui Lin

Auxiliary stopping area (ASA) is the key guarantee for high-speed maglev train operation safety. Aiming at the layout of the ASA along the track, this article constructs an optimized model of ASA layout and proposes a solving algorithm based on the single target genetic algorithm by analyzing the influence factors of ASA layout. The result of the numerical experiment shows that the proposed method could fulfill the requirements of the maglev train operation safety and efficiency and optimize the cost of the ASA layout while taking the complex line situation, train tracking operation, and bidirectional operation on a single line into account.


2022 ◽  
Vol 314 ◽  
pp. 125651
Author(s):  
Rosnita Mohamed ◽  
Rafiza Abd Razak ◽  
Mohd Mustafa Al Bakri Abdullah ◽  
Shayfull Zamree Abd Abd Rahim ◽  
Long Yuan-Li ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yueru Xu ◽  
Zhirui Ye ◽  
Chao Wang

Purpose Advanced driving assistance system (ADAS) has been applied in commercial vehicles. This paper aims to evaluate the influence factors of commercial vehicle drivers’ acceptance on ADAS and explore the characteristics of each key factors. Two most widely used functions, forward collision warning (FCW) and lane departure warning (LDW), were considered in this paper. Design/methodology/approach A random forests algorithm was applied to evaluate the influence factors of commercial drivers’ acceptance. ADAS data of 24 commercial vehicles were recorded from 1 November to 21 December 2018, in Jiangsu province. Respond or not was set as dependent variables, while six influence factors were considered. Findings The acceptance rate for FCW and LDW systems was 69.52% and 38.76%, respectively. The accuracy of random forests model for FCW and LDW systems is 0.816 and 0.820, respectively. For FCW system, vehicle speed, duration time and warning hour are three key factors. Drivers prefer to respond in a short duration during daytime and low vehicle speed. While for LDW system, duration time, vehicle speed and driver age are three key factors. Older drivers have higher respond probability under higher vehicle speed, and the respond time is longer than FCW system. Originality/value Few research studies have focused on the attitudes of commercial vehicle drivers, though commercial vehicle accidents were proved to be more severe than passenger vehicles. The results of this study can help researchers to better understand the behavior of commercial vehicle drivers and make corresponding recommendations for ADAS of commercial vehicles.


2021 ◽  
Vol 14 (12) ◽  
pp. 113
Author(s):  
Zariyawati M. A. ◽  
Hirnissa, M. T. ◽  
Nurul-Farhanim, M. S. ◽  
Soh, W. N.

Health is a necessity for human well-being and productive. Hence, access to healthcare when needed is considered by many to be a basic human right. Therefore, it is important to invest in health financing to ensure access to healthcare for future needs, such as medical expenses. The current study aims to investigate the factors that influence employee spending on health financing in the public and private sectors in Malaysia. Further, we also examine whether the intention to spend on health financing differs between public and private sector employees. Multiple regression analysis and an independent-samples T-test were applied using SPSS to achieve this objective. Findings of this study reveal that employer and social influence factors influence the intention to spend on health financing in both sectors. Meanwhile, job factors only influence employees in the public sector to spend on health financing. We also found that the intention to spend on health financing differs between public and private sector employees.


2021 ◽  
Vol 14 (12) ◽  
pp. 99
Author(s):  
Zariyawati M. A. ◽  
Hirnissa, M. T. ◽  
Nurul-Farhanim, M. S. ◽  
Soh, W. N.

Health is a necessity for human well-being and productive. Hence, access to healthcare when needed is considered by many to be a basic human right. Therefore, it is important to invest in health financing to ensure access to healthcare for future needs, such as medical expenses. The current study aims to investigate the factors that influence employee spending on health financing in the public and private sectors in Malaysia. Further, we also examine whether the intention to spend on health financing differs between public and private sector employees. Multiple regression analysis and an independent-samples T-test were applied using SPSS to achieve this objective. Findings of this study reveal that employer and social influence factors influence the intention to spend on health financing in both sectors. Meanwhile, job factors only influence employees in the public sector to spend on health financing. We also found that the intention to spend on health financing differs between public and private sector employees.


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