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The attitude of Imam Ibn Jarir al-Tabari to the occurrence of unanimous and its convening by statement of the majority in light of his interpretation - Jami` al-Bayan on the interpretation of the verse of the Qur’an -‘‘Applied Models’’
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The research deals with the statement of the importance of unanimous in Islamic Sharia in terms of being the third source of Islamic legislation after the Holy Qur’an and the Sunnah of the Prophet, and the extent of interest of the scholars of interpretation in it, and those who took great interest in mentioning what was agreed upon in every site that necessitated mentioning its issues within, or mentioning an event that has encountered an unanimous, and in various sciences, to extract and extrapolate Sharia rules when these rules are lost in the texts, because it is based on them and derived from them. Among these distinguished scholars is Muhammad bin Jarir al-Tabari. Besides, the research discusses interpretational applications for some meanings of Quran’ vocabulary, as well as the opinion of al-Tabari in some Fiqh rules that he was singled out for based on his disagreement with the majority of fundamentalists on a fundamental issue of unanimous issues, namely: Does unanimous convenes when the most diligent of the scholars state about a matter that needs their unanimous? Or is it not convened without the agreement of all of them without violating any of them? So, he went on to say: The unanimous is convened with the disagreement of one and two of scholars in face of the agreement of most of the agreed ones, because the majorities are scholars and interpreters. Thus, he adopts the unanimous of the majority, and, for him, those who have not reached the limit of the frequency have been considered neither as a disagreement issue nor breaking the unanimous, nor disagreeing with it. In this issue, the majority of the scholars said: The condition for convening the unanimous along with its occurrence is the agreement of all diligents without fear of any one of them, otherwise there will be no unanimous

 

 

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Publication Date
Fri Oct 02 2015
Journal Name
American Journal Of Applied Sciences
Advances in Document Clustering with Evolutionary-Based Algorithms
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Document clustering is the process of organizing a particular electronic corpus of documents into subgroups of similar text features. Formerly, a number of conventional algorithms had been applied to perform document clustering. There are current endeavors to enhance clustering performance by employing evolutionary algorithms. Thus, such endeavors became an emerging topic gaining more attention in recent years. The aim of this paper is to present an up-to-date and self-contained review fully devoted to document clustering via evolutionary algorithms. It firstly provides a comprehensive inspection to the document clustering model revealing its various components with its related concepts. Then it shows and analyzes the principle research wor

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Publication Date
Tue Jan 01 2019
Journal Name
Indian Journal Of Public Health Research & Development
Certain Hematological Denotations in Chronic Renal Failure Patients
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Publication Date
Wed Nov 23 2022
Journal Name
Journal Of Oral And Dental Research
iaor.net - Common Errors in Panoramic Radiographs: A review
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Zainab M. Al-Bahrani Department of Oral Diagnosis, College of Dentistry, University of Baghdad, Baghdad, Iraq.Corresponding author: Zainab M. Al-Bahra...

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Publication Date
Sat Jun 28 2025
Journal Name
Al-kitab Journal For Human Sciences (kjhs)
University Education Administration in Achieving Sustainable Environmental Development
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The aim of the research is to identify the role of university education management in achieving sustainable environmental development.

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Publication Date
Sun Sep 07 2014
Journal Name
Baghdad Science Journal
Heat Shock Protein70 as Biomarker in Bladder Cancer
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The present study aimed to shed light on the urine HSP70 concentration of patients with urinary bladder carcinoma UBC and control subjects as new urinary biomarker. The second aim was to associate this protein concentration with UBC stage and grade in patients with UBC. A direct ELISA was used to quantify urine HSP concentrations in 58 patients with urinary bladder carcinoma UBC with different grades (G) and stages (T) all malignant of them was transitional cell carcinoma (TCC) type , 15 from patients with urinary Bladder disorders other than cancer UBD and 15 healthy subjects(control) . Urine concentrations of HSP70 were elevated in patients with UBC compared to those without UBC (healthy and UBD, P< 0.5). There was a high signifi

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Publication Date
Fri Oct 26 2018
Journal Name
Journal Of Planner And Development
Alternative Methods for Decreasing Infrastructure Deficiencies in Iraq
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Publication Date
Fri Jan 01 2021
Journal Name
دار الكتب والوثائق العراقيه
Fundamentals Concept in Metorology an Introductory Survey - ISBNiraq.org
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Fundamentals Concept in Metorology an Introductory Survey - ISBNiraq.org

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Publication Date
Sat Oct 05 2019
Journal Name
Pediatric Cardiology
Personalised Warfarin Dosing in Children Post-cardiac Surgery
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Abstract<p>Warfarin dosing is challenging due to a multitude of factors affecting its pharmacokinetics (PK) and pharmacodynamics (PD). A novel personalised dosing algorithm predicated on a warfarin PK/PD model and incorporating CYP2C9 and VKORC1 genotype information has been developed for children. The present prospective, observational study aimed to compare the model with conventional weight-based dosing. The study involved two groups of children post-cardiac surgery: Group 1 were warfarin naïve, in whom loading and maintenance doses were estimated using the model over a 6-month duration and compared to historical case-matched controls. Group 2 were already established on maintenance therapy a</p> ... Show More
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Publication Date
Fri Jun 01 2018
Journal Name
Journal Of Physics: Conference Series
Hiding text in gray image using mapping technique
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Publication Date
Tue Dec 30 2025
Journal Name
Journal Of Al-qadisiyah For Computer Science And Mathematics
Deep Spoof Face Detection Techniques in React Native
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The rapid rise in the use of artificially generated faces has significantly increased the risk of identity theft in biometric authentication systems. Modern facial recognition technologies are now vulnerable to sophisticated attacks using printed images, replayed videos, and highly realistic 3D masks. This creates an urgent need for advanced, reliable, and mobile-compatible fake face detection systems. Research indicates that while deep learning models have demonstrated strong performance in detecting artificially generated faces, deploying these models on consumer mobile devices remains challenging due to limitations in computing power, memory, privacy, and processing speed. This paper highlights several key challenges: (1) optimiz

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