Praise be to God, who said: {And establish prayer and pay zakat and lend to God a good loan, and whatever good you put forward for yourselves you will find with God. It is better and greater in reward. Ask forgiveness of God. Indeed, God is Forgiving, Most Merciful. May blessings and peace be upon Muhammad, the servant of God, and His Messenger, may God bless him and grant him peace, who said: “Islam is built on five Testifying that there is no god but God and that Muhammad is the Messenger of God, establishing prayer, paying zakat, Hajj, and fasting Ramadan” ().
Now that follows: Islamic law aims to make man happy in this world and the afterlife, starting with faith in God Almighty until the end of the legal obligations. This is attested to by the words of God Almighty: {Whoever does righteousness, whether male or female, and is a believer - We will surely give him a good life and We will reward him. Their reward is for the best of what they used to do} and the Almighty says : {And it will be said to those who fear, “What has your Lord sent down?” They say, “Good.” For those who do good in this world is good, and the abode of the Hereafter is better. And most excellent is the abode of the righteous.) {Jinn They will enter Eden. Underneath rivers flow. They have therein whatever they wish. Thus Allah rewards the righteous.}
There is no doubt that societies governed by God’s law have less crime, more virtue, security and love prevail, and social solidarity and a coming together of hearts based on God’s law, as was clear in the best centuries. Zakat is the third of the five pillars of Islam, and it has benefits for the rich. And the poor. Its benefit to the rich is that it brings blessing, growth, and purification to their wealth. It also brings good deeds to them for responding to the command of God Almighty. It also brings them happiness in both worlds if it is given sincerely, and indicates generosity and piety. Its benefit is for those who deserve it, as it relieves the severity of need from the pain of hunger, cold, illness, and envy, and encourages the call to God, such as jihad, strengthens the faith of the weak in faith, and alleviates distress for those in debt, and it is one of the means of preserving religion, life, money, and honor. The subject of this research is one of the types on which zakat is required, which is real estate prepared for sale and it is a commercial offering, and this is one of the most important types on which zakat is required. Because trade is one of the greatest sources of income for nations and individuals in all times, and its importance increases as societies become more civilized and financial dealings diversify. In this era, there has been a lot of dealing in commercial real estate projects prepared for sale, or for sale and lease. Questions have increased, and referendums have varied about the ruling on zakat on real estate prepared for sale. For sale. For this reason, we decided to research this topic in order to benefit and benefit our Muslim brothers. We ask God to help us in this, and to benefit from it. Indeed, He is capable of all things.
Construction of photographed bullying scale of kindergarteners was the aim of this study. The study conducted to answer the raised question, could the bullying among kindergarteners be measured?. A total of (200) boy and girl were selected from city of Baghdad to be the sample of the study. The scale composed of (27) item with colored pictures. It takes about (15) minuets to answer the whole scale items. SPSS tools were used to process the collected data. The result showed that the bullying among kindergarteners could be measured.
Different ANN architectures of MLP have been trained by BP and used to analyze Landsat TM images. Two different approaches have been applied for training: an ordinary approach (for one hidden layer M-H1-L & two hidden layers M-H1-H2-L) and one-against-all strategy (for one hidden layer (M-H1-1)xL, & two hidden layers (M-H1-H2-1)xL). Classification accuracy up to 90% has been achieved using one-against-all strategy with two hidden layers architecture. The performance of one-against-all approach is slightly better than the ordinary approach
The aim of this work is to develop an axi-symmetric two dimensional model based on a coupled simplified computational fluid dynamics (CFD) and Lagrangian method to predict the air flow patterns and drying of particles. Then using this predictive tool to design more efficient spray dryers. The approach to this is to model what particles experience in the drying chamber with respect to air temperature and humidity. These histories can be obtained by combining the particles trajectories with the air temperature/humidity pattern in the spray dryer. Results are presented and discussed in terms of the air velocity, temperature, and humidity profiles within the chambers and compared for drying of a 42.5% solids solution in a spray chamber
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Autonomous motion planning is important area of robotics research. This type of planning relieves human operator from tedious job of motion planning. This reduces the possibility of human error and increase efficiency of whole process.
This research presents a new algorithm to plan path for autonomous mobile robot based on image processing techniques by using wireless camera that provides the desired image for the unknown environment . The proposed algorithm is applied on this image to obtain a optimal path for the robot. It is based on the observation and analysis of the obstacles that lying in the straight path between the start and the goal point by detecting these obstacles, analyzing and studying their shapes, positions and
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In this research we study the wavelet characteristics for the important time series known as Sunspot, on the aim of verifying the periodogram that other researchers had reached by the spectral transform, and noticing the variation in the period length on one side and the shifting on another.
A continuous wavelet analysis is done for this series and the periodogram in it is marked primarily. for more accuracy, the series is partitioned to its the approximate and the details components to five levels, filtering these components by using fixed threshold on one time and independent threshold on another, finding the noise series which represents the difference between
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Gumbel distribution was dealt with great care by researchers and statisticians. There are traditional methods to estimate two parameters of Gumbel distribution known as Maximum Likelihood, the Method of Moments and recently the method of re-sampling called (Jackknife). However, these methods suffer from some mathematical difficulties in solving them analytically. Accordingly, there are other non-traditional methods, like the principle of the nearest neighbors, used in computer science especially, artificial intelligence algorithms, including the genetic algorithm, the artificial neural network algorithm, and others that may to be classified as meta-heuristic methods. Moreover, this principle of nearest neighbors has useful statistical featu
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In the current study, a novel approach for separating ethanol-water mixture by microbubble distillation technology was investigated. Traditional distillation processes require large amounts of energy to raise the liquid to its boiling point to effect removal of volatile components. The concept of microbubble distillation by comparison is to heat the gas phase rather than the liquid phase to achieve separation. The removal of ethanol from the thermally sensitive fermentation broths was taken as a case of study. Consequently the results were then compared with those which could be obtained under equilibrium conditions expected in an “ideal” distillation unit. Microbubble distillation has achieved vapour compositions higher than th
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