Arabic language is a highly inflectional language where a single word can have different forms using a single root with different interpretations. Arabic does not have a standard way to find roots, the reasons for having inflectional language: suffix, prefix and infix Vowels, which built in complex processes. That is why, words require good processing for information retrieval solutions, until now, and there has been no standard approach to attaining the fully proper root. The applications on Arabic words show around 99% are derived from a combination of bilateral, Trilateral and quad lateral roots.
Processing word- stemming levels in order to extract a root is the process of removing all additional affixes. In case the process of mat

The study aims to identify the relationship between forgiveness and social intelligence among elementary school students. The study employed a descriptive analytical approach, whereby a total of (500) elementary school student were selected randomly regarding the variable of gender and economical status. Two scales were prepared: one to measure the forgiveness depending on Albort’s theory that consist of (20) item, and the other to measure the social intelligence according to Tony’s theory which composed of (20) item as well. The result revealed that 6^th grade students have interested level of the forgiveness and social intelligence, the girl showed significant differences according to the forgiveness variable, the sample

The study aims to identify the level of modesty and self-assertiveness among Tikrit university’s students in regard with students’ gender and major (scientific, human studies), and to identify the correlation between modesty trait and self-assertiveness of students. To this end, the researcher has designed a scale to measure modesty that consisted of four-domains (decency, avoiding of unattractive, pang of conscience, and apprehension). Moreover, the researcher adopted a scale of self-assertiveness that designed by (shawki, 1998). The sample included (600) student on first-stage at the university of Tikrit. The results revealed that students have a high level of modesty and self-assertiveness; there is a correlation between modesty t

The current research's problem includes the impact of cognitive reappraisal and reformulate on self-experience of emotional response and its negative feelings and the activity of cognitive reappraisal in changing response. The aim of this research is to detect the relation between adaptive response and cognitive reappraisal upon students of secondary school, and to find differences in gender and stage. The sample contained male and female student for the year(2022-2023) and consists of (480) students (240) male and (240) female in the karkh education/ 1 To achieve this aims researcher used descriptive method and to measure the two variables researcher built a scale for adaptive response according to theory of compound emotion (Barrett,20

    The aim of the study was to identify the nutritional awareness of middle school students and its relation to some variables of the sample of the research according to the gender variable (male and female), the variable type of family and the variable achievement of the parents.       

      The descriptive approach was adopted and the sample of the study consisted of (795) male and female students who were selected by the random stratified method. The research tool was prepared based on the literature and previous studies. The food awareness measure in its final form was (25) after the data collection was processed using the appropriate statistical met

     Agriculture improvement is a national economic issue that extremely depends on productivity. The explanation of disease detection in plants plays a significant role in the agriculture field. Accurate prediction of the plant disease can help treat the leaf as early as possible, which controls the economic loss. This paper aims to use the Image processing techniques with Convolutional Neural Network (CNN). It is one of the deep learning techniques to classify and detect plant leaf diseases. A publicly available Plant village dataset was used, which consists of 15 classes, including 12 diseases classes and 3 healthy classes.  The data augmentation techniques have been used. In addition to dropout and weight reg

Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a

This study deals with the shallow alluvial aquifer situated beneath the urban area of kirkuk city. The ancient part of the city (Shorja) is affected by seepage from local agricultural areas causing relatively high heavy metals concentration in groundwater. The selection of polluted site depended on the highest TDS value (3856 mg/L) associated with the highest heavy metal concentrations (Pb, Ni, Co and Zn) in groundwater. This study focuses on the evaluation of natural attenuation effectivity for long-term protection of groundwater quality using realistic three-dimensional reactive-transport groundwater model. The requirements of 3-dimensional reactive transport model were obtained from field observation and laboratory works, in addition

The current research aims to identify the level of compulsive buying behavior and Histrionic Personality among a sample of primary school teachers for the academic year (2021-2022) and in the light of some variables

(sex, marital status). To measure the Histrionic Personality, the researcher applied two scales to a random stratified sample of (200) male and female teachers. The results showed statistically significant differences in the level of compulsive buying behavior according to the gender variable and in favor of female teachers. There are no statistically significant differences in terms of marital status. There are statistically significant differences in the Histrionic Personality based on gender variables in favor of f