DETERMINATION OF HEALTH SCIENCE FACULTY STUDENTS’ ATTITUDES TOWARDS ELDERLY INDIVIDUALS AND THE INFLUENTIAL FACTORS

2018 ◽  
Vol 0 (12) ◽  
pp. 0-0
Author(s):  
Sebahat ATEŞ ◽  
Elif ARDIÇ ◽  
İrem YILMAZ ◽  
Kübra SELLER ◽  
Çağla ERDOĞAN ◽  
...  
Keyword(s):  
Influential Factors ◽  
Health Science ◽  
Science Faculty ◽  
Elderly Individuals ◽  
Students Attitudes

scholarly journals On factors affecting surface free energy of carbon black for reinforcing rubber

2020 ◽  
Vol 9 (1) ◽  
pp. 170-181 ◽  
Author(s):  
Shangyong Zhang ◽  
Ruipeng Zhong ◽  
Ruoyu Hong ◽  
David Hui
Keyword(s):  
Free Energy ◽  
Carbon Black ◽  
Surface Free Energy ◽  
Surface Activity ◽  
Gas Flow ◽  
Influential Factors ◽  
Chromatographic Column ◽  
Factors Affecting ◽  
Carrier Gas Flow

AbstractThe surface activity of carbon black (CB) is an important factor affecting the reinforcement of rubber. The quantitative determination of the surface activity (surface free energy) of CB is of great significance. A simplified formula is obtained to determine the free energy of CB surface through theoretical analysis and mathematical derivation. The surface free energy for four kinds of industrial CBs were measured by inverse gas chromatography, and the influential factors were studied. The results showed that the aging time of the chromatographic column plays an important role in accurate measurement of the surface free energy of CB, in comparison with the influences from the inlet pressure and carrier gas flow rate of the chromatographic column filled with CB. Several kinds of industrial CB were treated at high temperature, and the surface free energy of CB had a significant increase. With the increase of surface free energy, the maximum torque was decreased significantly, the elongation at break tended to increase, the heat generation of vulcanizates was increased, and the wear resistance was decreased.

scholarly journals Determination of emergency roads to emergency accommodation using loss analysis results

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sajad Ganjehi ◽  
Khadijeh Norouzi Khatiri
Keyword(s):  
Estimation Method ◽  
Emergency Evacuation ◽  
Influential Factors ◽  
Urban Crisis ◽  
Time Duration ◽  
Loss Analysis ◽  
Expert Choice ◽  
Data Layers ◽  
Temporary Accommodation

AbstractTeh present study aims to identify proper places to build temporary accommodation for people and accessible roads using damage analysis results during a probable earthquake. Teh HAZUS damage estimation method, which is one of teh most common ones currently used in teh world, was used in dis study. Teh influential factors in locating teh temporary accommodation in Shiraz were studied by using damage results, AHP model, and Expert Choice software. Then, map for temporary accommodation was prepared. By integrating layers, teh ultimate map of optimal locating for temporary accommodation was presented. Subsequently, all teh parameters influencing teh safety of emergency evacuation and relief network were identified and teh impact rate of each one was determined based on experts’ opinions through AHP. Based on teh importance of each index, roads were weighed and coded. Then, teh optimal safe road for relief and emergency evacuation was proposed. Teh results suggested dat relief roads are different based on different indices and teh optimal road was obtained through overlapping teh data layers according to teh importance of each parameter. dis optimal road could provide maximum services in teh minimum time duration and subsequently create capacity building in urban crisis management.

scholarly journals How do future publication plans affect theses availability in UiT’s open access research archive?

2016 ◽  
Author(s):  
Tanja Larssen
Keyword(s):  
Open Access ◽  
Health Science ◽  
Document Management ◽  
Electronic Survey ◽  
Master Thesis ◽  
On Line ◽  
Future Publication ◽  
Phd Theses ◽  
Students Attitudes ◽  
The University

Watch the VIDEO of the presentation.Open access to research results is a stated aim for the University of Tromsø – The artic university of Norway. The university’s research archive, Munin, has a well-developed system to make available the university’s own research, as well as master theses written by its students. Both master and PhD theses from UiT are delivered directly through Munin and can be made openly available on-line. Despite of this, many candidates choose not to have their theses made openly available through Munin. In my master thesis in document management, I examined why some candidates opt against, or postpone, making their theses openly available through Munin. What factors influence this decision, and are the given reasons based on actual issues or on misconceptions?From Munin I was given access to metadata from previously delivered, and passed, master and PhD theses where the candidate wanted to withhold their theses from being made openly available in Munin. The metadata contained the reasons provided by the candidates for their decision. I also conducted an electronic survey among, then, current master students where the goal was to examine current students’ attitudes towards making their thesis openly available in Munin, and compare the results from this survey with reasons stated by former master and PhD candidates.The main reason provided for postponing or refusing open access to their theses, given by both former master and PhD candidates, and current master students, where the fear that it would impair their chances for future publication. My study also showed that both master and PhD candidates from the faculty of health science are less likely to make their theses openly available in Munin, than candidates from other faculties. This faculty also had more candidates than other expressing concern over the possibilities for future publication.Why do candidates from different faculties within the same university show different attitudes towards having their work openly available? Are candidates right in their concerns regarding open availability and future publication, or are these concerns based on unfounded fears? Does it matter if master and PhD candidates choses not to make their work openly available, and can candidates be encouraged to make their work available?

Predictors of attitudes to e‐learning of Australian health care students

2010 ◽  
Vol 2 (1) ◽  
pp. 60-76 ◽  
Author(s):  
Ted Brown ◽  
Brett Williams ◽  
Shapour Jaberzadeh ◽  
Louis Roller ◽  
Claire Palermo ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Health Science ◽  
Computer Assisted Instruction ◽  
Computer Assisted ◽  
Science Students ◽  
Health Science Students ◽  
E Learning ◽  
Students Attitudes ◽  
Assisted Instruction

Computers and computer‐assisted instruction are being used with increasing frequency in the area of health science student education, yet students’ attitudes towards the use of e‐learning technology and computer‐assisted instruction have received limited attention to date. The purpose of this study was to investigate the significant predictors of health science students’ attitudes towards e‐learning and computer‐assisted instruction. All students enrolled in health science programmes (n=2885) at a large multi‐campus Australian university in 2006‐2007, were asked to complete a questionnaire. This included the Online Learning Environment Survey (OLES), the Computer Attitude Survey (CAS), and the Attitude Toward Computer‐Assisted Instruction Semantic Differential Scale (ATCAISDS). A multiple linear regression analysis was used to determine the significant predictors of health science students’ attitudes to e‐learning. The Attitude Toward Computers in General (CASg) and the Attitude Toward Computers in Education (CASe) subscales from the CAS were the dependent (criterion) variables for the regression analysis. A total of 822 usable questionnaires were returned, accounting for a 29.5 per cent response rate. Three significant predictors of CASg and five significant predictors of CASe were found. Respondents’ age and OLES Equity were found to be predictors on both CAS scales. Health science educators need to take the age of students and the extent to which students perceive that they are treated equally by a teacher/tutor/instructor (equity) into consideration when looking at determinants of students’ attitudes towards e‐learning and technology.

A survey of interests in teacher training of health science faculty Interests in teacher training

2009 ◽  
Vol 9 (3) ◽  
pp. 182-187 ◽  
Author(s):  
GORDON G. PAGE ◽  
RICHARD P. FOLEY ◽  
DONALD F. POCHYLY
Keyword(s):  
Teacher Training ◽  
Health Science ◽  
Science Faculty
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