the main of this paper is to give a comprehensive presentation of estimating methods namely maximum likelihood bayes and proposed methods for the parameter

In this work, we apply the notion of a filter of a KU-Algebra and investigate several properties. The paper defined some filters such as strong filter, n-fold filter and P-filter and discussed a few theorems and examples.

كان النبي (r) العابد المتحنّث، ورجل السياسة الذي شيّد أمة من الفتات المتناثر، ورجلَ حربٍ يضع الخطط ويقود الجيوش، وأباً حنوناً عطوفاً، وزوجاً تحققت فيه المودة والرحمة والسكن، وصديقاً رحيماً، وقريباً كريماً، وجاراً تشغله هموم جيرانه، وحاكماً تملأ نفسه مشاعر محكوميهِ، يعودُهم ويزورُهم ويُعينُهم، ويمنحهم من مودته وعطفه ما يجعلهم يفتدونه بأنفسهم، ومع هذا كله فهو قائم على أعظم دعوةٍ شهدت

الحمد لله رب العالمين، حمداً يوافي نِعَمَهُ ويُكافئُ مزيدَه، والصلاةُ والسلامُ على سيدِ الأنامِ وإمام المرسَلين، سيدِنا محمدٍ الصادق الأمين. نسأل الله تعالى أن يعلّمَنا ما ينفعُنا وينفعَنا بما علّمَنا، وأن يُعيننا متعلمين ومعلمين على التأدب بأدب القرآن الكريم.

أما بعد، فالعلم هبة الله، وهبة الله لا تُعطى إلا لمن يُعطي من نفسه وقتاً وجهداً وصبراً، لذا قيل: (إنَّ العِلْمَ لا يُعطيكَ بَعضَه

The research aims to show the impact of the new modern malls on urban adjacent land uses; it handled concise study of the old markets, contemporary shopping malls, and the standards and regulations for commercial use. Sample study has been taken from new allocated malls in the city of Baghdad. The results of the sample analysis, and statistical analysis has proven hypothesis; that the locating of new malls impacted physical, social, and economic on urban adjacent, especially the exotic on urban fabric. It also turned out that the shopping demand from these malls is inelastic, which gives an opportunity to the planner and the decision-maker, to locate the modern new malls where spatial appropriate in the city are available. The major reco

Husain as a king of Iraq.
This paper deals with the British communication with faisel . then Winston Churchill's speech in British common house .then fodlowed by arriving faisal to Iraq after that the referend um faisel .
The his claims of British maneuver lastly coronation on faisal & his inauguration as a king of Iraq.

Background: Hyperplastic polyps account for 30–93% of gastric polyps. Recently, there have been studies about the development of dysplasia in this type of polyp. Every cell in the body contains the p53 gene, which has anti-cancer properties. Objective: The sensitivity of immunohistochemical expression of p53 is evaluated among gastric hyperplastic polyps with and without dysplasia and gastric adenomatous polyps to know its usefulness as a diagnostic marker. Methods: A retrospective cross-sectional study was done on fifty formalin-fixed paraffin-embedded blocks of gastric polyps (44 hyperplastic polyps without dysplasia, 3 hyperplastic polyps with dysplasia, and 3 adenomas). Cases were collected from the archives of the pathology d

The manual classification of oranges according to their ripeness or flavor takes a long time; furthermore, the classification of ripeness or sweetness by the intensity of the fruit’s color is not uniform between fruit varieties. Sweetness and color are important factors in evaluating the fruits, the fruit’s color may affect the perception of its sweetness. This article aims to study the possibility of predicting the sweetness of orange fruits based on artificial intelligence technology by studying the relationship between the RGB values of orange fruits and the sweetness of those fruits by using the Orange data mining tool. The experiment has applied machine learning algorithms to an orange fruit image dataset and performed a co

Attention-Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder affecting millions of people globally, is defined by symptoms of hyperactivity, impulsivity, and inattention that can significantly affect an individual's daily life. The diagnostic process for ADHD is complex, requiring a combination of clinical assessments and subjective evaluations. However, recent advances in artificial intelligence (AI) techniques have shown promise in predicting ADHD and providing an early diagnosis. In this study, we will explore the application of two AI techniques, K-Nearest Neighbors (KNN) and Adaptive Boosting (AdaBoost), in predicting ADHD using the Python programming language. The classification accuracies obtained w