I started writing the research because of the linguistic and rhetorical methods in the Holy Quran.
This Sura included in all its verses the plural form such as the word planets graves and seas except the word sky was singular as the name of a genus, and this Sura showed the horrors of the Day of Judgment at the world level Included another science is the science of the interview and also came in the repetition and deletion and other linguistic and rhetorical things and concluded this Sura that the goal of breaking the sky and scattering planets and scatter graves is the human himself.
The Koran is a miracle immortal and science is still drawn from him each according to his specialty.

The search tried to achieve a major scientific goal represented by (Knowing the perspective that has been treated through press releases of woman articles in Al- Sabah newspaper), via:

1. Specifying the rate of woman topics in Al-Sabah newspaper, compared with the other subjects.
2. Revealing the nature of the topics of the woman that the newspaper dealt with.
3. Identifying the ID of journalistic-product that dealt with the woman topics.
4. Knowing the journalistic arts that the woman topics have been treated by.
5. Standing on the cases which woman topics concentrated on, through Al-Sabah newspaper.

The super good artist, and its leading role experience detailed instrumental in the birth of the modern Iraqi drawing because of the represented technical personal super good in leading production Iraqi drawing since the early forties. If taken Excellence professional to experience the artist compared to the experiences of other pioneers and strengthened, the stylistic diversity through metaphors Different presented by the super good so that covered the period from romantic to Impressionism through schools drawing expressionism and cubism space, and therefore the heritage and the richness of diversity stylistic high to experience the good represents documentation required by contemporary Iraqi formation history, so the researcher found t

Heart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. The work study assesses the efficac

abstract:

Objectives: The study aims to reveal the approach of Imam Al-Salmi in the weighting between the apparently conflicting texts, and to show the extent of his agreement and disagreement with the rest of the fundamentalists, and does he have vocabulary that can be used to elicit legal rulings in modern contemporary issues?

Method: The method of induction and analysis is one of the main tools to reach the research results. The study resorted to following the sayings of Imam Al-Salmi in various sources and fatwas and standing on them, then analyzing and applying them to the various branches of jurisprudence in the various jurisprudential chapters.

Summary of the discussion of the jurisprudential aspects of Imam Abu Al-Fayyad Al-Basri, and their impact on the Shafi’i school, on the provisions of transactions, personal status, janaabah, limits, and others

      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 unti

حروف الجر هي حروف إضافة وروابط تدخل على الأسماء فقط ،فهي من علاماته فتعطيه حكم الجر؛ وبدخولها على الأسماء تجمع معانٍ للكلمات المتفرقة والمتناثرة في جمل متناسقة مفهومة في ذهن القارئ والمتلقي وتوصل معاني الافعال إلى الأسماء التي لا تستطيع الوصول إلى مفاعيلها، وهذا يدل على أن حروف الجر حروف عاملة وإن كان بعضها يأتي زائداً ،ولكل حرف من هذه الحروف معانٍ ودلالات قد تنفرد بها أو تشترك مع الحروف الأُخر فتضفي هذا الم

Churning of employees from organizations is a serious problem. Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, only one study looks into the categorization of employees up to date.  A novel multi-criterion decision-making approach (MCDM) coupled with DE-PARETO principle has been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE model (AHPTOPDE) has been designed that uses 2-stage MCDM s

Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with the large increase in the volume of textual data that is produced daily. Traditional approaches for calculating the degree of similarity between two texts, based on the words they share, do not perform well with short texts because two similar texts may be written in different terms by employing synonyms. As a result, short texts should be semantically compared. In this paper, a semantic similarity measurement method between texts is presented which combines knowledge-based and corpus-based semantic information to build a semantic network that repre