شكلت التطورات التكنولوجية في وسائل التواصل الاجتماعي الناجمة عن العولمة معلم رئيسي في تحولات التنظيمات الإرهابية، وإنتاج انماط جديدة من الإرهابيين والمتطرفين القادرين على التفاعل مع الثورة المعلوماتية والاتصالية. ان معظم الجرائم الإرهابية الإلكترونية مرتبطة بالإنترنت وهو المسرح المفضل للمتطرفين فالأول يقتل والثاني يسوغ ويحرض ويجند، والذي جعل الإنترنت وسيلة فعالة كونها سهلة الاستخدام وسريعة الوصول إلى الجمهور ورخيصة الثمن وساحة حرة بلا رقيب على ما يكتب ويشاهد. وعلى الرغم من أن الإرهاب الإلكتروني يعد واحداً من التهديدات الكبيرة لأمن المجتمع الدولي إلا ان التشريعات القانونية الدولية لمواجهته تعتمد على الإطار القانوني لمواجهة الإرهاب والجرائم التكنولوجية عموماً. ولا يوجد موقف دولي واضح ولا ضوابط او سوابق قانونية يمكن الاستناد إليها، أو حتى أتفاقية دولية واضحة شاملة حول الأمن الإلكتروني لتجريم المتطرفين والإرهابيين مستخدمي وسائل التواصل الأجتماعي .
Context has a significant impact on the interpretation of Qur'anic and literary texts, especially in ancient Arabic poetry since that language is no longer considered as a contemporary understandable language. Hence this research is entitled: (the impact of context on the morphological semantics in the Diwan of Abi Al-Aswad Al-Dau’ali) and the morphological meanings indicated by the morphological formula which lack the combination of other contextual clues. The researcher depended on the analytical approach to show the impact of pairing occurring between the contextual elements on determining the morphological meaning.
The most important findings reached at:
1- Context has a great impact in dispelling the possibilities arising fr
رقابة القاضي على تنفيذ قرارات التحكيم التجاري الدولي وفًقا لاتفاقية نيويورك
This paper addresses the factors responsible for changes in crude oil prices, in real market and financial sector. In order to prepare the analytical background for further investigation, it highlights the patterns of correlations of the real oil price and the most related prices of assets, exchange rate and government bond yield. The paper reviews the statistical behavior of oil price, quantities and the global macroeconomic environment. Topics discussed include the theory of differential rent and scarcity effect ,the role of future market and speculation, strategies of energy of the major economies to investigate the prospects of oil market and the potential demand for OPEC's oil. The paper explores the
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... Show MoreIn recent years, the attention of researchers has increased of semi-parametric regression models, because it is possible to integrate the parametric and non-parametric regression models in one and then form a regression model has the potential to deal with the cruse of dimensionality in non-parametric models that occurs through the increasing of explanatory variables. Involved in the analysis and then decreasing the accuracy of the estimation. As well as the privilege of this type of model with flexibility in the application field compared to the parametric models which comply with certain conditions such as knowledge of the distribution of errors or the parametric models may
... Show MoreIn Indonesia, cattle feces (CF) and water hyacinth (WH) plants are abundant but have not been widely revealed. The use of microorganisms as decomposers in the fermentation process has not been widely applied, so researchers are interested in studying further. This study was to evaluate the effect of the combination of CF with WH on composting by applying white-rot fungal (WRF) (Ganoderma sp) microorganism as a decomposer. A number of six types of treatment compared to R1(ratio of CF:WH)(25%:75%)+WRF; R2(ratio of CF:WH)(50%:50%)+WRF; R3(ratio of CF:WH)(75%:25%)+WRF; R4(ratio of CF:WH)(25%:75%) without WRF; R5(ratio of CF:WH)(50%:50%) without WRF; R6(ratio of CF:WH)
... Show MoreResearchers have increased interest in recent years in determining the optimum sample size to obtain sufficient accuracy and estimation and to obtain high-precision parameters in order to evaluate a large number of tests in the field of diagnosis at the same time. In this research, two methods were used to determine the optimum sample size to estimate the parameters of high-dimensional data. These methods are the Bennett inequality method and the regression method. The nonlinear logistic regression model is estimated by the size of each sampling method in high-dimensional data using artificial intelligence, which is the method of artificial neural network (ANN) as it gives a high-precision estimate commensurate with the dat
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