The current study aims to examine the level of problems faced by university students in distance learning, in addition to identify the differences in these problems in terms of the availability of internet services, gender, college, GPA, interactions, academic cohort, and family economic status. The study sample consisted of (3172) students (57.3% females). The researchers developed a questionnaire with (32) items to measure distance learning problems in four areas: Psychological (9 items), academic (10 items), technological (7 items), and study environment (6 items). The responses are scored on a (5) point Likert Scale ranging from 1 (strongly disagree) to 5 (strongly agree). Means, standard deviations, and Multivariate Analysis of Vari

      Strong and ∆-convergence for a two-step iteration process utilizing asymptotically nonexpansive and total asymptotically nonexpansive noneslf mappings in the CAT(0) spaces have been studied. As well, several strong convergence theorems under semi-compact and condition (M) have been proved. Our results improve and extend numerous familiar results from the existing literature.

The subject of population support is one of the most important topics in the geography of the population as it shows the amount of burden on the workforce in society and reflects the balance or

Among the different passive techniques heat pipe heat exchanger (HPHE) seems to be the most effective one for energy saving in heating ventilation and air conditioning system (HVAC). The applications for nanofluids with high conductivity are favorable to increase the thermal performance in HPHE. Even though the nanofluid has the higher heat conduction coefficient that dispels more heat theoretically but the higher concentration will make clustering .Clustering is a problem that must be solved before nanofluids can be considered for long-term practical uses. Results showed that the maximum value of relative power is 0.13 mW at nanofluid compared with other concentrations due to the low density of nanofluid at this concentration. For highe

Address the current research study " Symbol Significances in Fakhir Mohammad Paintings " in an attempt to detect signs of the icon in the artist's fee . The research contains four chapters The first chapter of which the methodological framework for the search starting with the problem of the specific research and asking the following: Maaltold semantic code in fees Luxury Muhammad? As well as displaying the importance of research and the need for it and in order to search through ( you know the implications of the code in the fee Luxury Muhammad) and for the period of ( 1980-2010 ) in his works of art as well as identifying the search terms . In the second chapter , such as the theoretical framework , and contained three sections focus o

The stage of the establishment of the Alawite state in tabaristan was one of the most important stages in the history of the Shiite sect in Iran , from a political , religious and even military point of view ,

معيار القصديَّة في النص هو من الدراسات الحديثة المتطورة من لسانيات الجملة الى لسانيات النص ، وتحليل الخطاب . والذي يعنى بالطرق والأدوات التي يستغلها المؤلف لتحقيق الغايات المقصديَّة 

وهذا البحث ناقش مفهوم(القصديَّة) لغةً ،واصطلاحاً . فاللغة والكلام شكل من أشكال الوجود الإنساني و( الكلام) هو وسيلة التواصل بين الملقي القارئ ، والمتلقي  السامع ؛ وللتوصل الى الدلالة القصديَّة الدقيقة للغة المنطوقة وا

الآخر في الشعر العربي الحديث (من نكسة حزيران إلى أخريات الألفية الثانية)

In this research, the one of the most important model and widely used in many and applications is linear mixed model, which widely used to analysis the longitudinal data that characterized by the repeated measures form .where estimating linear mixed model by using two methods (parametric and nonparametric) and used to estimate the conditional mean and marginal mean in linear mixed model ,A comparison between number of models is made to get the best model that will represent the mean wind speed in Iraq.The application is concerned with 8 meteorological stations in Iraq that we selected randomly and   then we take a monthly data about wind speed over ten years Then average it over each month in corresponding year, so we g