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Mindfulness and Its Relation to Self Regulated Learning Among University Students
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Mindfulness is considered a process to draw an image of the active event and to creat new social varieties which leaves the individuals open to modernity and to be sensitive towards the context. in contrast, when individuals act with less attention, they need to be more determined concerning the varieties and events of the past . and as a result , they become unaware of the characteristics that creat the individual condition .The problem of the current study is represented in asking about the nature of the possible relationship between mindfulness and self-regulated learning within specific demographic frame of an importantsocial category represented in university students where no previous researches nor theories have agreed on the nature of the relationship between those 2 variables. and no local study-as far as the researcher concerned-has tackled this vital topic within this wide and important class of the society which is the youth .
The objectives of the study is as the following:
1- Measuring mindfulness in the study in a sample and to enhance its statistical significance.
2- Measuring mindfulness according to the variables of gender (male-female) and academical disciplines (humanities-sciences) and to enhance their statistical significance.
3 - to identify the nature of the relationship between mindfulness and self-regulated learning in the study sample and to enhance its statistical significance.
The study sample is consisted of 400 male and female student selected randomly from 8 colleges in University of Baghdad,4 humanities colleges and 4 sciences colleges.and in order to achieve the objectives of the study,a measurement tool for mindfulness has been prepared in light of the measurements,literary references and previous studies that addressed this variable.and after analyzing the paragraphs using the 2 extreme groups method and the relation of the paragraph degree with the total degree of the measurement tool,all of its 25 paragraphs have been approved which scored stability factor average of (0,71) according to the split-half method and (0,82) according to Cronbach alfa method.and for the second variable,self-regulated learning,the researcher used the self-regulated learning measurement tool which was prepared by Al-Suraifi in 2008.which contains 39 paragraphs in its final form.and its stability was extracted by split-half method with average of (0,85) and Cronbach alfa method (0,93).
And heres the summary of the study outcomes :
1-the current study sample have mindfulness
2-there are no differences in mindfulness among university students in terms of the variable of gender (male-female) and academical disciplines (humanities-sciences) and the reaction between them .
3- there is a positive relationship between mindfulness and self-regulated learning in which as self-regulated learning increases,mindfulness increases within university students .
And the study concluded with a number of conclusions and recommendations and proposals.

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Publication Date
Thu Aug 20 2020
Journal Name
Talent Development & Excellence
Turn-Taking in Conversation between a Chef and Boss and among Chefs
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DBN Rashid, Talent Development & Excellence, 2020

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Publication Date
Wed Mar 20 2030
Journal Name
College Of Islamic Sciences
equality between man and woman                           Among Islamic law               International conventions and agreements
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equality between man and woman
                          Among Islamic law
              International conventions and agreements

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Publication Date
Sun Oct 11 2026
Journal Name
Al–bahith Al–a'alami
The role of Iraqi newspapers in instilling political culture among the public after 2003, a field study on the audience of the city of Baghdad
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The role of Iraqi newspapers in instilling political culture among the public after 2003, a field study on the audience of the city of Baghdad, University of Baghdad, College of Information, Department of Journalism, 2019,
The problem of research is to investigate the role of Iraqi newspapers in instilling the political culture of individuals after 2003, and monitor this role Through the contents and messages provided by the Iraqi newspapers to the public. the research is classified within descriptive research, it adopts the survey methodology and used the questionnaire tool. In fact, the questionnaire was distributed to a sample of 400 individuals that was selected according to the method of multi-stage cluster sample of those who re

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Publication Date
Sat Mar 01 2025
Journal Name
Al-khwarizmi Engineering Journal
Deep-Learning-Based Mobile Application for Detecting COVID-19
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Patients infected with the COVID-19 virus develop severe pneumonia, which typically results in death. Radiological data show that the disease involves interstitial lung involvement, lung opacities, bilateral ground-glass opacities, and patchy opacities. This study aimed to improve COVID-19 diagnosis via radiological chest X-ray (CXR) image analysis, making a substantial contribution to the development of a mobile application that efficiently identifies COVID-19, saving medical professionals time and resources. It also allows for timely preventative interventions by using more than 18000 CXR lung images and the MobileNetV2 convolutional neural network (CNN) architecture. The MobileNetV2 deep-learning model performances were evaluated

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Publication Date
Mon Jun 30 2025
Journal Name
Ingénierie Des Systèmes D Information
Comparative Analysis of Four Programming Languages for Machine Learning
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Publication Date
Thu Sep 01 2022
Journal Name
Iraqi Journal Of Computers, Communications, Control And Systems Engineering
A Framework for Predicting Airfare Prices Using Machine Learning
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Many academics have concentrated on applying machine learning to retrieve information from databases to enable researchers to perform better. A difficult issue in prediction models is the selection of practical strategies that yield satisfactory forecast accuracy. Traditional software testing techniques have been extended to testing machine learning systems; however, they are insufficient for the latter because of the diversity of problems that machine learning systems create. Hence, the proposed methodologies were used to predict flight prices. A variety of artificial intelligence algorithms are used to attain the required, such as Bayesian modeling techniques such as Stochastic Gradient Descent (SGD), Adaptive boosting (ADA), Decision Tre

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Publication Date
Wed Jan 01 2014
Journal Name
Journal Of The College Of Languages (jcl)
Learning English through Scaffolded Assistance in Iraqi EFL Classroom
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Learning a foreign language is a highly interactive process, and a belief that communicative activities foster a great amount of linguistic production provides language practice and opportunities for negotiation of meaning during communicative exchanges. Thus, this study examines what benefits learner-centered classroom setting offers compared with that of teacher–centered classroom, and how less proficient learners accomplish their tasks and activities with scaffolded help during interaction with the help of proficient classmates and under the guidance of a skilful person, i.e., the teacher. The subjects participating in this study are 30 Iraqi 4th year college students in the Department of English, College of Arts , Univer

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Publication Date
Thu Jul 13 2023
Journal Name
International Journal Of Research In Social Sciences & Humanities
Subject Review: Blogs as Learning Tools in EFL Classrooms
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Blogs have emerged as a powerful technology tool for English as a Foreign Language (EFL) classrooms. This literature review aims to provide an overview of the use of blogs as learning tools in EFL classrooms. The study examines the benefits and challenges of using blogs for language learning and the different types of blogs that can be used for language learning. It provides suggestions for teachers interested in using blogs as learning tools in their EFL classrooms. The findings suggest that blogs are a valuable and effective tool for language learning, particularly in promoting collaboration, communication, and motivation.

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Publication Date
Mon Jan 01 2024
Journal Name
Computers, Materials & Continua
Credit Card Fraud Detection Using Improved Deep Learning Models
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Scopus (40)
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Publication Date
Mon Mar 09 2026
Journal Name
International Journal Of Inventions In Engineering & Science Technology
Sentiment Analysis of Twitter Users Using Deep Learning Models
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This research suggests a robust and systematic way for Arabic Sentiment Analysis using a vast dataset of 66,666 text reviews. One of the main advantages of this study is that the dataset was perfectly balanced (33,333 positive samples and 33,333 negative samples). In machine learning, this 50/50 split is important because it eliminates class bias and enables the predictive model to treat both sentiment classes equally. As shown in the values of the metrics — overall accuracy, weighted precision, weighted recall, and F1 score — there is great similarity among them, indicating a stable and reliable assessment of the model's real potential throughout the Arabic dataset. Based on data profile, the average word count per review is 42.3

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