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Register a new userMathematical modeling of the relationship between number of higher education students and social and economic factors in Syria
النمذجة الرياضية للعلاقة بين أعداد طلبة التعليم العالي و العوامل الاجتماعية و الاقتصادية في سورية
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تهدف هذه الدراسة لإيجاد أفضل العوامل الاجتماعية و الاقتصادية المؤثرة على أعداد طلبة التعليم العالي باستخدام منهج التحليل الوصفي ، و إيجاد النموذج الرياضي المتعدد الذي يربط بين المركبات الأساسية الممثلة للعوامل الاجتماعية و الاقتصادية و أعداد طلبة التعليم العالي في سورية. و كانت أهم النتائج التي تم التوصل إليها هي أن المركبات الأساس الممثلة للعوامل الاجتماعية و الاقتصادية بعد إجراء التدوير المتعامد كانت ممثلة بالمركبين الأول و المتمثل بـ (عدد أفراد قوة العمل الذين يعملون بأجر، عدد السكان لكل طبيب صحة، عدد أفراد قوة العمل الذين يعملون لحسابهم، عدد أفراد قوة العمل غير المتزوجين، عدد السكان لكل طبيب أسنان، موازنة التعليم العالي، عدد الممرضين و الممرضات) و الرابع المتمثل بـ (بعدد أفراد قوة العمل المتزوجين) اللذين يؤثران بشكل إيجابي على أعداد طلبة التعليم العالي، أما المركبين الثاني و المتمثل بـ (معدل النشاط الاقتصادي للقوة البشرية، متوسط عدد السكان لكل صيدلاني، عدد أفراد قوة العمل الذين يعملون بدون أجر) و الثالث و المتمثل بـ (عدد أفراد قوة العمل المطلقين و الأرامل) تؤثر بشكل سلبي على أعداد طلبة التعليم العالي.
This study aims to find the best social and economic factors that affect the number of students in higher education using the descriptive analysis approach, and find the mathematical model that connects the principal components representing the social and economic factors and the number of students in higher education in Syria. The most important results that have reached were the principal components representing the social and economic factors, after doing the orthogonal rotation and was representing the first component (number of members the labor force that are gainfully) employed, the number of population per health doctor, number of members, the labor force that are self-employed, number of members the labor force that are unmarried, number of population per dentist, higher education budget, and number of nurses. And the four thcomponent (number of members the labor force that are married), both components affected positively on the number of students in higher education, the second component (economic activity rate of the human power, average number of people per pharmacist, number of members the labor force that are gainfully unemployed, the third component (number of members the labor force that are divorced and widowed) affected negatively on the number of students in higher education.
References used
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ALBRIGHT; J& PRAK; H; Confirmatory Factor Analysis using Amos, LISREL, Mplus, SAS/STAT CALIS; Working paper. the University Information Technology(UITS) center for Statistical and Mathematical computing; Indiana university; 2009; p2
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This study aims to find the best indicators representing higher education
components using the method of multivariate statistical analysis represented in a manner
factor analysis, and create a mathematical model that connects the principal componen
ts
representing higher education and the rate of economic activity in Syria using multi- linear
regression analysis. A descriptive analytical approach is used in this study. The most
important results obtained state that the principal components that belong to higher studies
and intermediate institutes have a positive impact on the rate of economic activity of
manpower, whereas principal components that belong to students of state universities and
higher institutes have a negative impact on the rate of economic activity.
This study aimed at identifying the concept of human capital migration and identifying the
main internal causes behind the phenomenon of human capital migration in Syria by
studying the impact of a range of economic, social and health factors (unem
ployment rate,
death rate, life expectancy, (15 years and more), the rate of inflation, the graduation rate of
undergraduate students and the graduation rate of students of studies in Syrian universities)
on the rate of human capital migration, based on the data between 1990 and 2010. The
researcher reached the following main results: High inflation leads to l The high rate of
migration of the human capital, while the low unemployment rate leads to the high rate of
migration, but the high rate of employment leads to a slight increase in the rate of
migration and this is because most of the young groups pursue studies outside the country
after graduation, The increase in life expectancy at birth leads to a sharp drop in the rate of
human capital migration. The high percentage of university graduates leads to a high rate
of human capital migration. This is due to the fact that the largest proportion of graduates
prefer immigration to work or to follow them in countries Other,
while a The increase in the proportion of graduates of study students leads to a decline in
the rate of human capital migration. This is due to the fact that they prefer to continue their
education within the country, thus reducing their chances of emigration due to the
continuation of their education or because of their increasing awareness of the importance
of their presence within the country.
Natural language processing (NLP) applications are now more powerful and ubiquitous than ever before. With rapidly developing (neural) models and ever-more available data, current NLP models have access to more information than any human speaker duri
ng their life. Still, it would be hard to argue that NLP models have reached human-level capacity. In this position paper, we argue that the reason for the current limitations is a focus on information content while ignoring language's social factors. We show that current NLP systems systematically break down when faced with interpreting the social factors of language. This limits applications to a subset of information-related tasks and prevents NLP from reaching human-level performance. At the same time, systems that incorporate even a minimum of social factors already show remarkable improvements. We formalize a taxonomy of seven social factors based on linguistic theory and exemplify current failures and emerging successes for each of them. We suggest that the NLP community address social factors to get closer to the goal of human-like language understanding.
Current study entitled: domestic violence and its relationship to self-esteem
among students in higher education, University of Khartoum. As noted researcher through social work as a guide for this category, estimated by a researcher greater than 14
years that some students do not feel worth themselves or they are hesitant in taking decisions, do not trust in themselves and that they violent social behavior.
Therefore, the problem of the study: Is there a relationship between domestic
violence and self-esteem of the students?
The importance of the study to provide information about the relationship
between domestic violence and self-esteem as it considers new addition some of the
studies, which dealt with the relationship with self-esteem violence chip important
social students and higher education. Then came the objectives of the study to
determine the relationship between domestic violence and self-esteem and to identify individual differences domestic violence according to type. Identify the relationship between domestic violence and level of education of care and economic level and its relationship to the existence of violence and the relationship between the size of the family of the existence of domestic violence.
The study sample consisted of 70 male and female students are reluctant to clinics for guidance, using the questionnaire tool for the collection and analysis of data and access to the most important of which results associated Among the most important results:
1. There is a relationship between domestic violence and self-esteem of students in higher education.
2. There are individual differences of domestic violence depending on the gender.
3. There is a relationship between domestic violence and the level of education of the carer.
4. There is no relationship between the economic level of the family and the existence of
domestic violence.
5. There is no relationship between family size and the presence of domestic violence.
The most important recommendations of the study: Parents should be fully aware of the Bzuthma and appreciation because of its crucial role in the growth of self-concept only with their children and they can work on the development of positive attitudes among their children even be unable to tolerate themselves and trust the Ikdraha and out.
This paper deals with the insurance sector in the Syrian Arab
Republic during the period between 1990-2012, we studied the
impact of economic and demographic factors on the demand for life
insurance size.
It was considered the volume of life insu
rance premiums indication
of the size of the demand for life insurance, also we study the
impact of some determinants on the demand / income -
unemployment - interest rate - inflation - life expectations -
education - urbanization /. A statistical analysis by spss to study
variables program was carried out, in order to reach the most
important determinants affecting the insurance demand, income and
the inflation and the interest rate are the most effective determinant
in influencing the insurance demand, While statistically significant
for the rest of determinants effect does not appear.
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