Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease that impairs speech, social interaction, and behavior. Machine learning is a field of artificial intelligence that focuses on creating algorithms that can learn patterns and make ASD classification based on input data. The results of using machine learning algorithms to categorize ASD have been inconsistent. More research is needed to improve the accuracy of the classification of ASD. To address this, deep learning such as 1D CNN has been proposed as an alternative for the classification of ASD detection. The proposed techniques are evaluated on publicly available three different ASD datasets (children, Adults, and adolescents). Results strongly suggest that 1D

This article deals with the approximate algorithm for two dimensional multi-space fractional bioheat equations (M-SFBHE). The application of the collection method will be expanding for presenting a numerical technique for solving M-SFBHE based on “shifted Jacobi-Gauss-Labatto polynomials” (SJ-GL-Ps) in the matrix form. The Caputo formula has been utilized to approximate the fractional derivative and to demonstrate its usefulness and accuracy, the proposed methodology was applied in two examples. The numerical results revealed that the used approach is very effective and gives high accuracy and good convergence.

The researchers of the present study have conducted a genre analysis of two political debates between American presidential nominees in the 2016 and 2020 elections. The current study seeks to analyze the cognitive construction of political debates to evaluate the typical moves and strategies politicians use to express their communicative intentions and to reveal the language manifestations of those moves and strategies. To achieve the study’s aims, the researchers adopt Bhatia’s (1993) framework of cognitive construction supported by van Emeren’s (2010) pragma-dialectic framework. The study demonstrates that both presidents adhere to this genre structuring to further their political agendas. For a positive and promising image

PDBN Rashid, International Journal of Development in Social Sciences and Humanities, 2023

The current research aims to identify the problems and needs for both college of political science and college of engineering’s students. The sample was (100) male and female student. The results showed bunch of problems which could be organized descendingly, the scientific domain ranged between (2 - 2.42), the mean of the psychological domain was (2.85), the moral domain ranged between (2.2 – 2.28)m the problems of study earned (2.30), the material domain got (1.95), the medical and social domain obtained (1.925), and finally, the family domain received (1.887).

تعد مسالة بناء الدولة احدة المواضيع المهمة في حقل الدراسات السياسية والتي تعكس مظهراً متعدد الابعاد لمبدأ الثقة المنشود بين الحاكم والمحكوم، فمنذ أمد طويل تحاول الدول تحقيق تنميتها السياسية والبحث عن مقومات ترشيد سياسي لقدراتها المؤسساتية والوظيفية بهدف تعزيز اسس التكامل والاندماج بين المجتمع السياسي والمجتمع المدني. عليه انطلق جون راولز في مفهومه لبناء الدولة المعاصرة من بناء المجتمع العادل، فالعدالة ه

وظائف الدولة (في الفكر السياسي العربي الاسلامي)

تعد ظاهرة النخبة من اهم الموضوعات التي يعنى بها دارسو العلوم السياسية، اذ تشكل هذه الظاهرة محور نشاطات الجماعة السياسية، وبالرغم من تباين النظريات المتعلقة بتفسير وجود هذه الظاهرة ونشأتها، فان هناك اتفاقا على ارتباط هذه الظاهرة بتوزيع القوة داخل المجتمع الانساني فبعد ان كانت هذه الكلمة )النخبة( تستخدم في القرن السابع عشر لوصف سلع ذات تفوق معين امتد استعمالها فيما بعد ليشمل الاشارة الى فئات اجتماعية متفوقة ك

العوامل المؤثرة في نشأة النظام السياسي الامريكي

السياسة الامريكية وحركة الاصلاح السياسي في السودان