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Assessment of Psychological Adjustment among Preparatory School Students
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Objectives: To assess the psychological adjustment of middle school students and to identify the relationship between differences in demographic characteristics and psychological adjustment.

Methodology: A descriptive correlation design was used. The study utilized a simple random sample to select (381) students using self-report to select students who will be recruited into the study for the period from November 26th, 2021 to April 1st, 2022. A scale approved in the study consisting of 40 items was chosen. It measures four trends which are personal, social, familial, and emotional adjustment. The data were analyzed by applying the descriptive statistical data analysis method and inferential statistical data analysis.

Results: More than half of the participants (52%) had a moderate psychological adjustment, 44% had a good psychological adjustment, and 4% had a poor psychological adjustment. The sociodemographic characteristics (age, parental education level, socioeconomic status) effect on psychological adjustment.

Conclusions: The secondary and preparatory school student have a moderate psychological adjustment in general. Most students suffer from emotional maladjustment and found an effect of the demographic characteristics (age, parental education level, social and economic status) on the psychological adjustment of secondary and preparatory school students.

Recommendations: The current study recommended focusing on activating the role of family counseling to raise public awareness about psychological adjustment and activate the role of psychotherapists in schools.

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Publication Date
Thu Sep 01 2022
Journal Name
Engineering Structures
Mesoscale analysis of Fiber-Reinforced concrete beams
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Publication Date
Thu Sep 16 2021
Journal Name
International Journal Of Clinical Practice
An overview of post‐COVID‐19 complications
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Publication Date
Thu Jun 01 2023
Journal Name
Baghdad Science Journal
Modeling The Power Grid Network Of Iraq
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Recently, the theory of Complex Networks gives a modern insight into a variety of applications in our life. Complex Networks are used to form complex phenomena into graph-based models that include nodes and edges connecting them. This representation can be analyzed by using network metrics such as node degree, clustering coefficient, path length, closeness, betweenness, density, and diameter, to mention a few. The topology of the complex interconnections of power grids is considered one of the challenges that can be faced in terms of understanding and analyzing them. Therefore, some countries use Complex Networks concepts to model their power grid networks. In this work, the Iraqi Power Grid network (IPG) has been modeled, visua

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Publication Date
Fri Jan 19 2024
Journal Name
Turkish Journal Of Pharmaceutical Sciences
Taste Masking of Steroids for Oral Formulations
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Publication Date
Sun Jul 30 2023
Journal Name
Iraqi Journal Of Science
An Overview of Robust Video Watermarking Techniques
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     Copyright hacking and piracy have increased as the Internet has grown in popularity and access to multimedia material has increased. Security, property protection, and authentication have all been achieved via watermarking techniques. This paper presents a summary of some recent efforts on video watermarking techniques, with an emphasis on studies from 2018 to 2022, as well as the various approaches, achievements, and attacks utilized as testing measures against these watermarking systems. According to the findings of this study, frequency-domain watermarking techniques are more popular and reliable than spatial domain watermarking approaches. Hybrid DCT and DWT are the two most used techniques and achieve good results in the fi

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Publication Date
Sun Apr 01 2018
Journal Name
International Journal Of Civil Engineering And Technology
Features of plastics in modern construction use
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The work is devoted to the study of the plastics features in modern construction use. The plastics classification in modern construction is generalized. This classification includes: the field of building products application, the features of the materials properties and products, a backup group that includes those products that are not included in the previous groups. The classification considered is the basis for choosing the basic materials properties that affect the quality and durability of products. To improve the plastics types in the construction, the Venn diagram is used. The main materials types for manufacturing a product of the "window profile" type are analyzed; the result of the studies is a comparative diagram.

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Publication Date
Fri Sep 30 2022
Journal Name
International Journal Of Intelligent Systems And Applications In Engineering
Optimizing Methods of Funding Residential Complexes Projects
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Publication Date
Sat Nov 28 2020
Journal Name
Iraqi Journal Of Science
Extinction Cross-Section Modeling of Metallic Nanoparticles
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Localized surface plasmons (LSPs) are a potentially valuable property for the practical use of small size metallic particles. Exploiting the LSPs in metallic nanoparticle (NP)-based solar cells was shown to increase the efficiency of solar panels. A large extinction cross section of NPs allows for high scattering of light at the surface of the panel, which reduces the panel thickness, allowing for small size and low-cost solar cells. In this paper, the extinction cross-section of spherical nanoparticles is studied and simulated numerically. Surface plasmons were first modeled using the Drude’s model then the scattering and absorption cross-sections were derived. Commercial3D simulation software was used to model the near field dis

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Publication Date
Mon Jan 01 2024
Journal Name
Bio Web Of Conferences
An overview of machine learning classification techniques
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Machine learning (ML) is a key component within the broader field of artificial intelligence (AI) that employs statistical methods to empower computers with the ability to learn and make decisions autonomously, without the need for explicit programming. It is founded on the concept that computers can acquire knowledge from data, identify patterns, and draw conclusions with minimal human intervention. The main categories of ML include supervised learning, unsupervised learning, semisupervised learning, and reinforcement learning. Supervised learning involves training models using labelled datasets and comprises two primary forms: classification and regression. Regression is used for continuous output, while classification is employed

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Publication Date
Tue Mar 30 2021
Journal Name
Iraqi Journal Of Science
Dielectric Study of PVC-LiF Composites Films
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PVC-LiF composites films with different lithium fluoride (LiF) concentrations (0, 30, 50, and 70 weight %) were prepared by using the casting method. This research deals with the investigation of dielectric properties for PVC-LiF composite films as a function of frequency and temperature in the ranges of 100 to 107 Hz and 293 - 370 K, respectively. The A.C activation energy values estimated from Arrhenius equation were 0.03820, 0.3174, 0.2009, and 0.1845 eV for the different PVC-LiF films with different LiF concentrations, respectively.  It was found that the activation energy decreases by increasing LiF concentration and frequency. The exponent (s) showed a progressive increase with LiF for PVC-LiF films, while it showed

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