This research suggests a robust and systematic way for Arabic Sentiment Analysis using a vast dataset of 66,666 text reviews. One of the main advantages of this study is that the dataset was perfectly balanced (33,333 positive samples and 33,333 negative samples). In machine learning, this 50/50 split is important because it eliminates class bias and enables the predictive model to treat both sentiment classes equally. As shown in the values of the metrics — overall accuracy, weighted precision, weighted recall, and F1 score — there is great similarity among them, indicating a stable and reliable assessment of the model's real potential throughout the Arabic dataset. Based on data profile, the average word count per review is 42.3

This project presents an enhanced Iraqi vehicle plate identification system, incorporating digital processing technologies and the XOR Auto-Associative Memory advanced associative memory algorithm, towards a fast and efficient performance under diverse conditions of imagery. The system consists of three major stages: identification of the panel area, or localization, using edge transformations and morphological operations; symbol segmentation, or segmentation, based on horizontal and vertical projections for the exact extraction of numbers and letters; and finally, recognition use of XOR operations and a binary distance criterion known as Hamming Distance. The model was tested on 420 images of panels in different scenarios of lighting

ونخلص إلى ما ذهب إليه العوتبي في كتابه الإبانة في اللغة، فيما يخص عيوب النطق أو أمراض الكلام، إنه أورد جملة من المصطلحات الدالة على عيوب الكلام الصوتية والنطقية كالحبسة، والعقلة، والعي، والحصر، والرمز، والفدم، واللغوب، وأشار إلى توقف الصوت نتيجة حادثة أو مشكلة أو امتناع العضو الناطق عن إرادة الكلام، مما يشير إلى امتناع الصوت لعيب عضوي. كما ميز العوتبي اضطرابات الصوت الفردية الناجمة عن علة العي والعجز لدى ال

This study provides an empirical and strategic contribution to the revenue management literature by investigating the transition from static cost-plus pricing to a dynamic, elasticity-based framework within state-owned extractive industries (SOEs). While dynamic pricing is extensively studied in flexible, data-rich private markets, its application in structurally rigid SOEs within transitional economies remains a critical research gap. Drawing on primary fiscal and production data from the 2024 fiscal year of the General Company for Mining Industries (SCMI), we developed a mathematical model to determine optimal pricing ( ) based on marginal cost principles and demand elasticity. The findings demonstrate that replacing rigid accounting rout

Arabic language processing with artificial intelligence has evolved significantly in the past decades, from traditional rule- and dictionary-based techniques, through statistical models to modern deep and transformer models. This review intends to present an overview of the most well-known Arabic models as well as datasets used for its training, and the main practical applications such as sentiment analysis, machine translation, speech recognition, and smart assistant. AI-based Arabic NLP has had good progress in the previous decades, from rule and dictionary-based approaches to statistical methods and deep transformative learning models nowadays. In addition to it, the most popular state-of-the-art models that are fine-tuned for the Arabi

Abstract: Password authentication is one of the mechanisms that are widely used to authenticate an authorized user. In this research proposed password authentication for both graphical and textual password by using new technique is Modify Multi-connect architecture (MMCA) algorithm for more efficient in speed and accuracy. Among 100 test the accuracy result is 100% for graphical and textual password to authenticate a user, and the process time to authenticate each user is 0.5 and 1 seconds for textual password and graphical password respectively.

هدف البحث إلى التعرف على علم الأحياء عند الإمام علي (عليه السلام). اشتمل البحث على أربعة محاور رئيسة. المحور الأول دار حول خطبة للإمام علي (عليه السلام) يذكر فيها ابتداء خلق السماء والأرض وخلق آدم. كما جاء في المحور الثانى التعرف على قول الإمام علي في خلق الأرض وأدم (عليه السلام). أما المحور الثالث أشار إلى قوله في صفة خلق الإنسان. كذلك استعرض المحور الرابع قوله الإمام علي في خلق أصناف من الحيوان، حيث يصف الإمام عل

اللغة هبة من هبات الله عز وجل على عباده فهي أداة التواصل بل هي أداة الحياة ومن دونها لا تستقيم حياة ولا تتم. واللثغة هي نوع من الإبدال، وهي اضطراب صوتي قد يكون مرضا من أمراض الكلام.

لطالما كانت وما زالت اللغة العربية الشغل الشاغل لعلمائنا متقدمين ومتأخرين، لما تحمله هذه اللغة من أسرار عجيبة، فمما امتازت به من بقية اللغات أنَّ أصحابها ينطقون بأصواتٍ لا يتمكن غيرهم من النطق بها، إلا بمحاولات حثيثة، ومن هذه الأصوات الظاء والهمزة المتوسطة والمتطرفة والحاء. وذكر مكي بن ابي طالب أنَّ الاصمعي قد ذكر أن صوت الثاء غير موجود لا في الفارسية ولا في الرومية وليس عند السريانية ذال. أمَّا العين و

Aortic valve replacement (AVR) is the gold standard method for management of severe aortic stenosis (AS), with transcatheter balloon valvoplasty (BAV) increasingly used as palliative option for calcified valve in experienced hand. In the AVR era, BAV was not considered a long-term definitive treatment for severe calcific AS due to a high restenosis rate and short durability of gradient improvement. However, it continues to have an important role as a bridge-to-decision or bridge-to-intervention in cases where definitive therapy must be delayed due to clinical instability, imaging uncertainty or failed trial of surgical valve replacement. We report a case of heavily calcified AS in an adolescent female, in which the calcification in