Some factors affecting the self emulsification of hydrocarbon oils

2007 ◽  
pp. 119-126 ◽  
Author(s):  
T. A. Iranloye
Keyword(s):  
The Self ◽  
Factors Affecting

scholarly journals Prevalence and Factors Related to Self-Medication for COVID-19 Prevention in the Elderly

Salmand ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 112-127
Author(s):  
Narjes Heshmatifar ◽  
◽  
Arezoo Davarinia Motlagh Quchan ◽  
Zohreh Mohammadzadeh Tabrizi ◽  
Leila Moayed ◽  
...  
Keyword(s):  
Significant Relationship ◽  
Insurance Coverage ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Emotional Reactions ◽  
The Self ◽  
Self Medication ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Major Factors

Objectives: The Coronavirus Disease 2019 (COVID-19) crisis and health outcomes are among the major human social events of the 21st century. The unknown nature of the disease and the fear of contagion have caused emotional reactions, including the self-consumption of drugs in the elderly. Therefore, this study investigated factors affecting the self-consumption of drugs for COVID-19 prevention in the elderly. Methods & Materials: This descriptive and cross-sectional study was performed on 342 elderly in Sabzevar City, Iran, in 2020. The research units were selected as clusters from 16 health centers. The necessary data were collected by an online self-medication questionnaire. Data analysis was performed in SPSS. Results: The Mean±SD age of the study participants was 66.2±5.67 years. The frequency of self-medication to prevent COVID-19 was 190(55.5%); analgesics, vitamins, anti-cold, and antibiotics were the most common drugs used. The major factors associated with self-medication in the COVID-19 pandemic were disease prevention, home quarantine, financial problems, experiencing previous self-medication, and others’ advice. There was a significant relationship between self-medication and education and insurance coverage. No significant relationship was observed between gender, occupation, and marital status, and self-medication. Conclusion: Self-Medication in the COVID-19 epidemic is notable as a crisis threatening the elderly’s health. Controlling and monitoring how the drug is used is among the requirements for protection and health promotion in the elderly.

Parenting Support and the School System

2017 ◽  
pp. 252-261
Author(s):  
Julie Hodges ◽  
Karyn L. Healy
Keyword(s):  
School Setting ◽  
Well Being ◽  
Shared Responsibility ◽  
The Self ◽  
Triple P ◽  
Management Skills ◽  
Factors Affecting ◽  
Parenting Support ◽  
Self Confidence ◽  
System P

Children’s academic and well-being outcomes are influenced by both the home and the school environments. This means that parents and schools have a shared responsibility for promoting children’s development. Research shows that when parents and schools work together, students, parents, and teachers all benefit. One way in which schools can engage parents in their child’s education is by offering parenting support through parenting programs like the Triple P—Positive Parenting Program. Triple P can assist parents to develop effective morning, afternoon, and bedtime routines and to help students gain the self-management skills and the self-confidence necessary to succeed at school. This chapter discusses strategies and considerations for successfully implementing Triple P in schools, taking into account the school setting, workforce, and factors affecting parent participation.

scholarly journals Analysis on Factors Affecting the Self-Repair Capability of SMA Wire Concrete Beam

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Li Sun ◽  
Dezhi Liang ◽  
Qianqian Gao ◽  
Jianhong Zhou
Keyword(s):  
Concrete Beam ◽  
Cement Mortar ◽  
Resin Cement ◽  
The Self ◽  
Factors Affecting ◽  
Advantages And Disadvantages ◽  
Crack Repair ◽  
Self Repair ◽  
Unbonded Length ◽  
Silicone Polymer

Crack expansion of concrete is the initial damage stage of structures, which may cause greater damage to structures subject to long-term loads or under extreme conditions. In recent years, the application of intelligent materials to crack self-repair has become a hotspot among researchers. In order to study the influence of factors on the self-repair capability of shape memory alloy (SMA) wire concrete beam, both theoretical and experimental methods were employed for analysis. For the convenience of experiment, composite materials (epoxy cement mortar and silicone polymer clay) instead of concrete were used. The SMA wires were externally installed on and internally embedded in epoxy resin cement mortar beams and silicone polymer clay beams. Comparison of crack repair situation between two installation methods turns out that both methods possess their own advantages and disadvantages and should be employed according to the actual situation. The influence of unbonded length on the self-repair capability of embedded type SMA wire beams and the necessary minimum unbonded length to achieve self-repair function were studied. The results state clearly that the longer the unbonded length is, the better the crack repair situation is.

scholarly journals Forecasting production,consumption and the food gap of rice crop in Iraq using Exponential Smoothing method

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Iman K, Mustafa ◽  
Osamah.K. Jbara
Keyword(s):  
Exponential Smoothing ◽  
Smoothing Method ◽  
The Self ◽  
Rice Crop ◽  
Factors Affecting ◽  
Production Ratio ◽  
Self Sufficiency ◽  
Double Exponential Smoothing ◽  
Exponential Smoothing Method ◽  
Single Exponential

"The aim of this research is to predict the production, consumption and food gap of the rice crop in Iraq, as well as the economic factors that affect the self-sufficiency ratio and the quantity of imports with the time series (2015-1980). Based on the statistical program (Minitab & SPSS) Is the Exponential Smoothing method for Forecasting the production, consumption, and nutritional gap of the rice crop. Two types of single and double (2016-2025) was the single Exponential Smoothing method for having the lowest MSE value of (11450.4) . As for the consumption of the rice yield for the period (2025-2016), the double Exponential Smoothing method was the most accurate (MSE), which is 87100.7. As for the food gap, the single Exponential Smoothing is the best predictor for the same period in terms of the lowest value (MSE) 84100.1. The self-sufficiency ratio was affected by five factors (cultivated area, Imports, available for consumption, import / production ratio, the dummy variable representing years of blockade), and Factors affecting the quantity of imports (rice production,available for consumption, border prices, the number of the population Al- Muthanna University All rights reserved"

scholarly journals The current state and tendencies of using rheological models for self-forming wooden structures

2020 ◽  
pp. 112-122
Author(s):  
V. S Ponomarev ◽  
G. G Kashevarova
Keyword(s):  
Rheological Model ◽  
Experimental Studies ◽  
The Self ◽  
Building Structures ◽  
Forming Process ◽  
Rheological Models ◽  
Factors Affecting ◽  
Wooden Structure ◽  
Shrinkage And Swelling ◽  
Wooden Structures

Wood is a natural and ecological material. Exceptional mechanical properties of wood allow it to be used in building structures subject to chemically active substances. However some changes in mechanical characteristics of wood under the influence of water and temperature, as well as its anisotropy, limit the application areas of this material. Based on the results of the research by S.P. Timoshenko, foreign scientists proposed a method that makes it possible to use these shortcomings of wood to create wooden structures of unique shapes. This article considers the self-forming process of glued layered wooden structures, which is based on various rheological processes taking place in wood. In order to predict the shape of a glued layered wooden structure obtained with the self-forming method, an accurate rheological model is required, which takes into account all wood deformation mechanisms. We analyzed the available rheological models of wood proposed or described both by Russian and foreign scientists, as well as the international experimental studies and numerical modeling results of the self-formed glued layered wooden structures. Based on the analysis results, it was found that the present rheological models do not take into account a number of factors that influence the process of self-forming of glued layered wooden structures. The rheological model, which includes a complete list of factors affecting wood deformation (elastic and plastic deformation, wood shrinkage or swelling, viscous-elastic creep deformation and mechanical and sorption deformation), is the most promising for creating unique architectural objects from glued wood. But it also has a number of shortcomings, mainly due to inconsideration of some factors and few experimental studies. Such factors include the geometric parameters of layers of the glued wooden structures, the surface treatment of layers, temperature, as well as wood species. These factors influence the process of wood shrinkage and swelling, thus the final shape of a wooden structure. It is necessary to have additional experimental and theoretical studies of the mechanical behavior of glued wooden structures which will take into account these factors, as well as to study other species of wood including their combinations.

scholarly journals Computing departments' academics' perceptions on the impact of Learning and Management Systems on academic performance

2019 ◽  
Author(s):  
◽  
Mbangata Lubabalo
Keyword(s):  
Academic Performance ◽  
The Self ◽  
Management Systems ◽  
Pedagogical Beliefs ◽  
Factors Affecting ◽  
Software Packages ◽  
E Learning ◽  
Perceived Impact ◽  
Learning Software ◽  
The Impact

There are currently more than 500 commercial e-Learning software packages and 300 educational e-Learning software packages, but the surprising fact is that academic failure remains high in universities, especially for first-year students, despite all these advances made by e-Learning. It is this high failure rate problem in this e-Learning era that is at the core of this study whose aim is to model factors affecting the perceptions of academics on the impact of learning management systems (LMSs) on academic performance. This aim will be achieved by following the research question: what are the factors that are affecting the perceptions of academics on the impact of learning management systems on academic performance? Three types of research objectives are used to achieve this aim, namely: (i) to design a theoretically sound model of the factors affecting the perceptions of academics on the impact of LMSs on academic performance. (ii) to empirically test the designed model. (iii) to suggest recommendations on how to improve the perceptions of academics on the impact of LMSs on academic performance. Objectives (i) was accomplished through a content analysis method of reviewing of existing appropriate literature of factors that are affecting the impact of LMSs on e- Learning context; whilst objective (ii) was met by conducting a survey of seventy-eight (78) academic staffs from four public universities of KwaZulu-Natal province of South Africa. On the other hand, objective (iii) was met through a comparison of the results of the survey conducted against the literature analysed. The outcomes of these three objectives are as follows: (i) the Welberg’s theory of education, the self-determination theory, the self-regulated learning theory, the social constructivism theory, and the task technology fit theory can be used as suitable theories applicable to examine the perceived impact of e-Learning on academic performance. (ii) It makes logic to theorize that, on the one hand, academics’ perceived impact of LMSs on academic performance are indirectly affected by their gender, their type of employment and their ethnicity. On the other hand, academics’ attitude towards e-Learning, their computer self-efficacy, their pedagogical beliefs, and their use of LMSs directly affects their perceived impact of LMSs on academic performance of students. It can be concluded that academics’ perceived impact of LMSs on academic performance can be enhanced by optimising academics’ computer self-efficacy, their pedagogical beliefs, and their attitude towards LMSs.

scholarly journals Prediction of learners’ mathematics performance by their emotional intelligence, self-esteem and self-efficacy

2020 ◽  
Vol 15 (3) ◽  
pp. 492-501
Author(s):  
Christian Sunday Ugwuanyi ◽  
Chinedu I.O. Okeke ◽  
Chinyere G. Asomugha
Keyword(s):  
Academic Achievement ◽  
Emotional Intelligence ◽  
Self Efficacy ◽  
Linear Regression Analysis ◽  
Self Esteem ◽  
The Self ◽  
Factors Affecting ◽  
Anambra State ◽  
Achievement In Mathematics ◽  
The Impact

In spite of the place of mathematics in the Nigerian education system, the performance of students in both external and internal examinations is on the downward trend. Research on factors affecting students’ achievement in mathematics has often neglected the impact of psychological variables, such as emotional intelligence, self-esteem, and self-efficacy. This study, therefore, was designed to study how emotional intelligence, self-esteem and the self-efficacy of students predict their academic achievement in mathematics. The correlational survey research design was employed with a population of 2,937 senior secondary 2 students and a sample of 400 students sampled from 16 secondary schools in the Nnewi Education zone of Anambra State. Emotional intelligence, Self-esteem, Self-efficacy Questionnaires, and Students' Academic Achievement Score Form (SAASF) were used to collect data through the direct delivery method. Data were analyzed using simple linear regression analysis. The results showed that emotional intelligence, self-esteem, and self-efficacy had significant predictive powers on students' academic achievement in mathematics. Thus, emotional intelligence, self-esteem, and the self-efficacy of students are prime determinants of their achievement in mathematics. It was recommended that students should be taught using methods that will enhance their emotional intelligence, self-esteem, and self-efficacy.     Keywords: Emotional intelligence, Mathematics Achievement, Secondary school, Self-efficacy, Self-esteem; 

scholarly journals Better Choice, Better Health? Social Integration and Health Inequality among International Migrants in Hangzhou, China

2020 ◽  
Vol 17 (13) ◽  
pp. 4787
Author(s):  
Xiaoguang Fan ◽  
Fei Yan ◽  
Wei Yan
Keyword(s):  
Socioeconomic Status ◽  
Social Integration ◽  
Health Inequality ◽  
Developed Countries ◽  
The Self ◽  
Factors Affecting ◽  
Self Rated Health ◽  
Starting Point ◽  
International Migrants ◽  
The Impact

The aim of this study is to investigate the impact of social integration and socioeconomic status on immigrant health in China. Taking the framework of social determinants of health (SDH) as the theoretical starting point, this paper uses the Hangzhou sample of the 2018 Survey of Foreigners in China (SFRC2018) to explore two core factors affecting the health inequality of international migrants in China: the level of social integration following settlement, and socioeconomic status before and after coming to China. The results show that having a formal educational experience in China helped improve both the self-rated health status and self-assessed change in health of international migrants; that the socioeconomic status of an emigrant’s home country affected self-rated health; and that the self-assessed change in health of immigrants from developing countries was significantly higher than those from developed countries. This study concludes that the health inequalities of immigrant populations in China must be understood in the context of China’s specific healthcare system and treatment structure.

Factors Affecting Self-management in Iranian Tuberculosis Patients: A Path Analysis Model

2019 ◽  
Author(s):  
Nooshin Ghavidel ◽  
Zohreh Mahmoodi ◽  
Zhila Sharifipour ◽  
Tayebeh Fasihi Harandi
Keyword(s):  
Path Analysis ◽  
The Self ◽  
Path Model ◽  
Self Management ◽  
Multi Drug Resistance ◽  
Analysis Model ◽  
Related Factors ◽  
Factors Affecting ◽  
Tuberculosis Patients ◽  
Knowledge And Attitude

Abstract Background Tuberculosis is a chronic infectious disease that, if not treated and managed properly, increases the Multi Drug Resistance (MDR). Self-management behaviors can reduce the progression of illness. Although various factors affect self-management, no study has not been conducted on the self-management tuberculosis through path analysis. This study evaluated the factors affecting self-management in tuberculosis patients using path analysis. Methods This study was a cross-sectional study and was done on 133 non prisoner tuberculosis (TB) patients that referred to all health centers in Karaj, Iran from March 2016 to February 2017.The structured questionnaire was applied. Data were analyzed with SPSS-17 and Lisrel 8.8, utilizing statistical path analysis to evaluate the relationships between self-management and its related factors. Results 52.3% of the participants in the study were female and 47.7% were male. Respondents of this research were 46.9% smear-positive, 9.4% smear- negative, 43.8% extra-pulmonary TB. Fit indices confirmed the model fitness and logical relationships between the variables according to the conceptual model (X2=49.80, df=25). The final path model showed that the age (B=0.84), attitude (B=0.10), marital status (B=0.04) and house condition (B=0.03) impact self-management just through direct path. Knowledge (B=0.83) and education (0.16) affect the self-management through both direct and indirect paths. The education indirectly affects the self-management through both knowledge and attitude. knowledge indirectly impact self-management through attitude. In other words knowledge and attitude mediate the relationship between some factors and self-management. Conclusions This study provided an empirical model that illustrates the relationships between self-management and related factors in TB Patients. The most important factor that affects self-management through both direct and indirect paths was knowledge. The knowledge can be the target of interventions in support of self-management

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