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jcois-1591
The Juristic Rulings Concerning Those in Debts
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Abstract:

This research aimed to shed light on the juristic rulings concerning those in debts. It adopted the inductive approach, the analytical approach and the comparative approach. It tackled the following issues: definition of Zakat, the channels of paying Zakat, definition of those in debts, types of those in debts, those in debts who are not entitled to take Zakat, their cases, spending money by those in debts if taken by those in debts and the poor, and when those in debts become rich before paying their debts, and the ruling on paying the debt of the dead indebted from the Zakat money.

The most important results of the research are as follows:

Muslim jurists divided those in debts into two types: first: the one who is indebted for the benefit of anyone else. Second: those who are indebted for reclaiming oneself. The right opinion is that if those in debts become rich before paying their debts, they must return money to the ruler or to the one from he took. If not, he should pay it in the channels of Zakat. Those who have not enough income should not borrow to establish a factory, a farm, and so on because the Zakat is given to the poor to meet their dire needs rather than increase wealth and become richer. Those who are indebted for the benefit of themselves and who can earn their living should not take from Zakat money if they can pay their debts from what the money they earn or if the debtor grants them time till it is easy for him to repay. Additionally, those who have money either cash or real estate can repay from it. When some of those who are entitled to take Zakat take it in a particular case, but now they are not as such, they should not return the Zakat. However, if a particular group became not entitled to take Zakat, they should return the Zakat.

Keywords: juristic rulings – the channel of those in debts.

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Publication Date
Thu May 18 2023
Journal Name
Journal Of Engineering
Optimal Dimensions of Small Hydraulic Structure Cutoffs Using Coupled Genetic Algorithm and ANN Model
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A genetic algorithm model coupled with artificial neural network model was developed to find the optimal values of upstream, downstream cutoff lengths, length of floor and length of downstream protection required for a hydraulic structure. These were obtained for a given maximum difference head, depth of impervious layer and degree of anisotropy. The objective function to be minimized was the cost function with relative cost coefficients for the different dimensions obtained. Constraints used were those that satisfy a factor of safety of 2 against uplift pressure failure and 3 against piping failure.
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Publication Date
Sat Oct 01 2022
Journal Name
Baghdad Science Journal
Design of a Simple Dust Removal System for a Solar Street Light System
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Journal Name
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Nearly Maximal Submodules
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Publication Date
Sun Feb 25 2024
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Publication Date
Fri Jan 01 2016
Journal Name
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Synthesis, characterization and anticonvulsant evaluation of new derivatives derived from 5-methoxy-2-mercapto benzimidazole
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AI-Driven Prediction of Average Per Capita GDP: Exploring Linear and Nonlinear Statistical Techniques
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Average per capita GDP income is an important economic indicator. Economists use this term to determine the amount of progress or decline in the country's economy. It is also used to determine the order of countries and compare them with each other. Average per capita GDP income was first studied using the Time Series (Box Jenkins method), and the second is linear and non-linear regression; these methods are the most important and most commonly used statistical methods for forecasting because they are flexible and accurate in practice. The comparison is made to determine the best method between the two methods mentioned above using specific statistical criteria. The research found that the best approach is to build a model for predi

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Nearly Primary-2-Absorbing Submodules and other Related Concepts
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Publication Date
Wed May 10 2023
Journal Name
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Free Head Shear Test on Decomposed Granite Soil
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Publication Date
Thu Mar 01 2018
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Publication Date
Wed Sep 12 2018
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Recognition of Off-line Printed Arabic Text Using Hidden Markov Models
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