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jcois-1863
The jurisprudential aspects of Imam Abu al-Fayyadh al-Basri And its impact on the Shafi’i school of thought, on the rulings of worship
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Summary of the jurisprudence research

  Praise be to God, Lord of the Worlds, and prayers and peace be upon the Master of the Messengers, our master Muhammad, and upon his pure family, and his ignorant and ignorant companions, and those who followed them in goodness until the Day of Judgment.

 Then:

 The many jurisprudential aspects that the Shafi’i imams said are of great importance, because these aspects are nothing but the opinions of venerable jurists who have reached a high degree of knowledge until they have become among the owners of faces. And among them are the Shafi’i jurists, the jurists may differ among themselves, either because there is no text about their imam in a matter, or the issue is originally: there is no text in it, so the owners of the faces strive to find an opinion for it, extracting from the texts of their imam in other similar issues, or in it Similar, or based on its origins, or by analogy with other issues, or other reasons, and the jurists who came after the class of owners of faces may differ in most cases in the preference of some faces over others, and fatwas may be given to some faces, even if they were not preponderant in an era , for the sake of some interest, appropriate for that era, but this depends on those who have reached a high degree of knowledge, and from these many aspects: what Imam Abu Al-Fayyad Al-Basri said.

  The jurisprudential aspects that Imam Abu al-Fayyad al-Basri said, and which were transmitted from him, are few compared to other owners of faces, and the reliable in their transmission, is mainly from: The Great Book of Al-Hawi by Imam Al-Mawardi, Al-Basri.

 The jurisprudential aspects that were transmitted on the authority of Imam Abu al-Fayyadh vary between a purely

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Publication Date
Thu Jul 30 2026
Journal Name
Iraqi Journal Of Science
Assessing Soil Salinity Dynamics in the Middle and South of Iraq Using Remote Sensing Techniques
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Soil salinization is a pervasive global issue, particularly in semi-arid and dry areas. It constitutes the primary cause of soil degradation, significantly impairing soil functionality and agricultural productivity. Consequently, there is a pressing need for precise procedures to measure soil salinity in various areas, which are necessary for managing, correcting, monitoring, and utilizing saline soils effectively. This study employed remote sensing (RS) techniques as a robust approach for constructing predictive models of soil salinity by examining changes in soil salinity using different salinity indices and comparing them with electrical conductivity (EC) measurements for soil samples. Among the five salinity indices evaluated, t

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The paper deals with claims in construction projects in Iraq and studies their types, causes, impacts, resolution methods and then proposes a management system to control the impacts of claims. Two parts have been done to achieve the research objective (theoretical part and practical part). The findings showed that the main types of the claims are extra work claims, different site condition claims, delay claims and the main causes of the claims are variation of the orders, design errors and omission, delay in payments by owner, variation in quantities and scheduling errors. The claims have bad impacts on the cost by increasing (10% to 25%) and also on the duration of the project by increasing from (25% to 50%).The negotiation is the main

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Sat Feb 02 2019
Journal Name
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Language Teaching & Leaning Problems at the Iraqi university level: Image & Reality
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The possibility of Using the Low-Cost External Antenna with Smartphone for Accurate Surveying Applications by RTX Technology
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Publication Date
Fri Jan 25 2019
Journal Name
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Predicate the Ability of Extracorporeal Shock Wave Lithotripsy (ESWL) to treat the Kidney Stones by used Combined Classifier
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Extracorporeal Shock Wave Lithotripsy (ESWL) is the most commonplace remedy for kidney stone. Shock waves from outside the body frame are centered at a kidney stone inflicting the stone to fragment. The success of the (ESWL) treatment is based on some variables such as age, sex, stone quantity stone period and so on. Thus, the prediction the success of remedy by this method is so important for professionals to make a decision to continue using (ESWL) or tousing another remedy technique. In this study, a prediction system for (ESWL) treatment by used three techniques of mixing classifiers, which is Product Rule (PR), Neural Network (NN) and the proposed classifier called Nested Combined Classi

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Sat Mar 01 2025
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Design an Efficient Neural Network to Determine the Rate of Contamination in the Tigris River in Baghdad City
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This article proposes a new technique for determining the rate of contamination. First, a generative adversarial neural network (ANN) parallel processing technique is constructed and trained using real and secret images. Then, after the model is stabilized, the real image is passed to the generator. Finally, the generator creates an image that is visually similar to the secret image, thus achieving the same effect as the secret image transmission. Experimental results show that this technique has a good effect on the security of secret information transmission and increases the capacity of information hiding. The metric signal of noise, a structural similarity index measure, was used to determine the success of colour image-hiding t

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The Effect of Defensive Exercises in the Motor Response to Develop Some Defensive Skills for Young Basketball Players
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This paper provides an identification key to the species of Orthetrum Newman, 1833 (Odonata, Libellulidae), including six species that were collected from different localities in Iraq.

 

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Theoretical insights into the study of the electronic transition reaction process from D35CPDT molecule dye to SnO2 semiconductor
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Calculating the Transport Density Index from Some of the Productivity Indicators for Railway Lines by Using Neural Networks
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The efficiency evaluation of the railway lines performance is done through a set of indicators and criteria, the most important are transport density, the productivity of enrollee, passenger vehicle production, the productivity of freight wagon, and the productivity of locomotives. This study includes an attempt to calculate the most important of these indicators which transport density index from productivity during the four indicators, using artificial neural network technology. Two neural networks software are used in this study, (Simulnet) and (Neuframe), the results of second program has been adopted. Training results and test to the neural network data used in the study, which are obtained from the international in

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