The researcher dealt with the importance of striking proverbs in the Holy Qur’an and their uses and benefits in Islamic education and ethics and between the types of proverbs, so it emerged through the study the following things that the proverbs are of three types: authorized, latent, and transmitted, and it has been shown through the current study that the proverb has conditions that the proverb is not valid except There are five: (realism, clarity, environmental, meaning injury, and good pronunciation). If the example violates these conditions, it is not an example. This study showed that proverbs have a prominent role in persuasion, argument, statement, education, clarity, approximation, education, refinement, correct belief, etc.

God is the source of every grace in which man lives and enjoys, and there is no one in the world told himself that created and destined and ridiculed and found out of nothing God Almighty alone.
The grace is an affliction from God Almighty, when God Almighty blesses his servant with money or children and others, the slave thinks the acceptance of God Almighty, but may be a source of affliction and scrutiny.

Stubbornness is of the nature of the mean, we do not see it in the character of a person whose heart God filled with faith, wisdom and knowledge. And stubbornness does not fall into it except hearts that are arrogant, envious and objectionable, hearts that do not admit mistakes, and are not satisfied with the truth. Rather, you see humiliation,humiliation and shortcomings in returning to Him. He loves corruption * Except in humiliation, humiliation and shortcomings, the stubborn fall, even if they are proud when it is said to him, "Beware of God", pride takes him for sin, so his count is Hell, and his misery.

traces of stubbornness    :key wor

The lexical connotation is one of the types of connotation that linguists have dealt with, and stipulated in their studies, meaning access to the real meanings of the words, that the lexicon can address after tracing the real meaning of the metaphorical meanings, if any, and this is known to the semantics additional significance, and the rhetorical meaning Figuratively.
The miraculous Qur'an in its systems often refers to the metaphorical uses of the words as well as the real use. The significance of the words in the Holy Qur'an came in a variety of contexts, making each word a special significance that belongs to it exclusively. This is the miracle of the Holy Qur'an. The coming of the slow walk, with its eight words (came, came, cam

Context has occupied a distinguished place as far as the understanding of the texts and deducting the rules from them or analyzing them. The context was considered as one of the important presumptions as far arriving at the desired meanings is concerned. The word is worthless and the meaning is not known unless we know the context in which it came. The context in its two types the lingual and non-lingual types. It is the best for knowing the intended meaning of the Quranic verses to know the real meaning.  

لعلنان نق اأ اّاد أَ ثرالشم تَ ام يلثهاتس يل هامني ا يل ب نال س ييننانن ب د اّاد ين ا يلنال ني نا ي
تنن عل ينني مَ ينط يئني، يلقد قنقج ع طمنق ي ق ن ب ييننن ثع يلأحليث على اّأ يلحنلاي يل و هاع مأني يلقاد
نضعُ ن ش ن نّهن عنلثن نُرأ مُ يلأحلي ش ث دّ ذ ن طمنقيٍ نل ني.
حلُ يلعل م ييننننني يلقد قهقبم ل ي مناي يل ب نال س يلش هامت ققالنم يلش نانئد يلأل ي يلقاد ى قُعناى ق ننام
يل ش نال س يل و نال د لاى يين ان د شّ حناب، اد نىمق

Al-Aziz's book was chosen as a subject for research as it is one of the important books in the Islamic world in general and the Shafi'i school in particular and its author Imam Abdul Karim bin Mohammed bin Abdul Karim Al-Rafi's, who in the doctrine of the jurisprudence has made prominent lines and left behind invaluable scientific treasures in the service of religion. Its importance is summarized as follows:
1. Being an explanation of the book (brief) of the argument of Islam Imam Ghazali (God's mercy), one of the five books adopted in Shafi'i jurisprudence.
2. His work is Imam Abu al-Qasim al-Rafii known for the brilliance of the investigation and the power of weighting in the doctrine.
3. It is considered an encyclopedia in Sh

The last few years witnessed great and increasing use in the field of medical image analysis. These tools helped the Radiologists and Doctors to consult while making a particular diagnosis. In this study, we used the relationship between statistical measurements, computer vision, and medical images, along with a logistic regression model to extract breast cancer imaging features. These features were used to tell the difference between the shape of a mass (Fibroid vs. Fatty) by looking at the regions of interest (ROI) of the mass. The final fit of the logistic regression model showed that the most important variables that clearly affect breast cancer shape images are Skewness, Kurtosis, Center of mass, and Angle, with an AUCROC of

Most recognition system of human facial emotions are assessed solely on accuracy, even if other performance criteria are also thought to be important in the evaluation process such as sensitivity, precision, F-measure, and G-mean. Moreover, the most common problem that must be resolved in face emotion recognition systems is the feature extraction methods, which is comparable to traditional manual feature extraction methods. This traditional method is not able to extract features efficiently. In other words, there are redundant amount of features which are considered not significant, which affect the classification performance. In this work, a new system to recognize human facial emotions from images is proposed. The HOG (Histograms of Or

Disease diagnosis with computer-aided methods has been extensively studied and applied in diagnosing and monitoring of several chronic diseases. Early detection and risk assessment of breast diseases based on clinical data is helpful for doctors to make early diagnosis and monitor the disease progression. The purpose of this study is to exploit the Convolutional Neural Network (CNN) in discriminating breast MRI scans into pathological and healthy. In this study, a fully automated and efficient deep features extraction algorithm that exploits the spatial information obtained from both T2W-TSE and STIR MRI sequences to discriminate between pathological and healthy breast MRI scans. The breast MRI scans are preprocessed prior to the feature