The research entitled "The political changes and economic developments in contemporary Turkish Backgrounds, manifestations and future possibilities" consists of the introduction, four sections and conclusions. The background details, its developments, and the transformation in the economic   sector in Turkey were reviewed. The first section concentrated on the brief introduction about the political developments which happened since the independence of Turkey at 1923 with the highlight on the years after the receipt of the Freedom and Justice Party (Ak PARTi) the Turkish Government rule. The second section demonstrated the reality of Turkish economy before 2002, while the

September 11th attacks held the biggest tragedy in American history. It was a day of grief, and it proved that America was not immune to attacks and threat. Afterwards life has changed not only for the American Muslims but also American Christians and Jews and to people from other religions. The cruelty of that day has left its shed particularly on the Muslims’ life in America who in reality had nothing to do with the attacks. Arab American Muslim writer Laila Halaby’s novel, Once in a Promised Land, intensely displays the problems that Arab Muslims went through after September 11th attacks. This paper discusses this issue through analysing Halaby’s novel, where she deals with the issues such as discrimination, stereotype, and prejudi

AW Ali T, Journal of the Faculty of Medicine, 2015 - Cited by 3

Permeability data has major importance work that should be handled in all reservoir simulation studies. The importance of permeability data increases in mature oil and gas fields due to its sensitivity for the requirements of some specific improved recoveries. However, the industry has a huge source of data of air permeability measurements against little number of liquid permeability values. This is due to the relatively high cost of special core analysis.
The current study suggests a correlation to convert air permeability data that are conventionally measured during laboratory core analysis into liquid permeability. This correlation introduces a feasible estimation in cases of data loose and poorly consolidated formations, or in cas

 In this paper, we propose a method using continuous wavelets to study the multivariate fractional Brownian motion through the deviations of the transformed random process to find an efficient estimate of Hurst exponent using eigenvalue regression of the covariance matrix. The results of simulations experiments shown that the performance of the proposed estimator was efficient in bias but the variance get increase as signal change from short to long memory the MASE increase relatively. The estimation process was made by calculating the eigenvalues for the variance-covariance matrix of Meyer’s continuous wavelet details coefficients.

     The reliability of hybrid systems is important in modern technology, specifically in engineering and industrial fields; it is an indicator of the machine's efficiency and ability to operate without interruption for an extended period of time. It also allows for the evaluation of machines and equipment for planning and future development. This study looked at reliability of hybrid (parallel series) systems with asymmetric components using exponential and Pareto distributions. Several simulation experiments were performed to estimate the reliability function of these systems using the Maximum Likelihood method  and the Standard Bayes method  with a quadratic loss (QL) function and two priors: non-informative (Jeffery) and inform

 In this paper, we propose a method using continuous wavelets to study the multivariate fractional Brownian motion through the deviations of the transformed random process to find an efficient estimate of Hurst exponent using eigenvalue regression of the covariance matrix. The results of simulations experiments shown that the performance of the proposed estimator was efficient in bias but the variance get increase as signal change from short to long memory the MASE increase relatively. The estimation process was made by calculating the eigenvalues for the variance-covariance matrix of Meyer’s continuous wavelet details coefficients.

      A new approach presented in this study to determine the optimal edge detection threshold value. This approach is base on extracting small homogenous blocks from unequal mean targets. Then, from these blocks we generate small image with known edges (edges represent the lines between the contacted blocks). So, these simulated edges can be assumed as true edges .The true simulated edges, compared with the detected edges in the small generated image is done by using different thresholding values. The comparison based on computing mean square errors between the simulated edge image and the produced edge image from edge detector methods. The mean square error computed for the total edge image (Er), for edge regio