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Impact of investigator personality pattern on job stress at the General inspectors of offices /applied thesis
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This research studied the relationship of patterns of investigator personality with the big five dimensions (Extraversion, stability, interoperability, openness, and personal benevolent), in facing the job stress with its resources(characteristics of the role, quality of work, organizational structure, work environment, organizational policies, social relations, and organizational processes) which the investigators exposed to it at the General Inspectors Offices.

The researcher derived the idea of ​​research from the importance of the work of these offices in a confrontation of various cases of financial and administrative corruption in Iraq at the present time, since itis one of the most important inspection and control organizations in Iraq, through its strategic role in fighting the corruption, and enabling an appropriate environment for the comprehensive development of the anti-corruption system, and its specialized role in control on ministries and public organizations, and raise the level of their performance through the exercise of inspection and control functions that represented by audit, inspection, investigation, and performance appraisal. As well as, the large stress that the workers faced it in these offices, especially the investigators, because of the seriousness and importance of their work, which leads to a feeling of stress at work which may affect their performance and achievement of offices objectives in the fight against the scourge of corruption, since it requires that those employees must have personal attributes correspond to the nature of their work to cope with the stress they experience and reduce its negative effects.

The aim of the research is to deepen the understanding of the nature of the personal patterns of investigators of general Inspectors Offices and the extent of their adaptation to job stress that they are exposed to at work to take advantage of it now and in the future in the proper selection, appointment and investiture of employees according to their personalities and how important and dangerous tasks that fall upon themselves, to reach the desired objectives.

The researcher used a questionnaire as an essential tool for data collection, as well as interviews and the experience of the researcher during his work in one of these offices for several years. The questionnaire was distributed to a random sample of (140) people across (7) offices of General Inspectors in (7) ministries, the sample selected represent (20%) of the original community for each Office. For data processing, the researcher used statistical methods and tests.

Based on the measuring of research variables and diagnosing it, and testing correlations, effect, and differences among them. The research concluded a set of conclusions and the most important was (Personal investigators patterns (Neuroticism, Extraversion, Agreeableness, openness to experience) in the offices of inspectors general affect job stress they are exposed to).

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Publication Date
Sat Aug 31 2024
Journal Name
Folia Medica
Dental plaque caries related microorganism in relation to demographic factors among a group of Iraqi children
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Introduction: Streptococcus mutans and lactobacilli are most important bacteria in the pathogenesis of dental caries. Cariogenic microflora has been associated to the primary caregiver transmission and sugary diets.

Aim: This study aimed to relate S. mutans and lactobacilli in the plaque to demographic factors in Iraqi children.

Materials and methods: The study included 135 children aged 3-10 years. Samples of their dental plaque were taken from the upper second primary molars on the buccal surfaces using a clean toothpick. Each sample was stored in 1 ml of n

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Publication Date
Thu Aug 28 2025
Journal Name
Sciences Journal Of Physical Education
Automated empowerment and its effectiveness to developing skill performance for dribbling and passing accuracy of football
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Among the many modern skill-enhancing work practices, machine learning is among the mostskill-enhancing practices in the workplace, as it helps students remember more of what they havelearned, hone the technical talents and skills of football players, and make better use of theirmotor skills. The use of machine learning and its practical applications in football could havesignificant benefits by improving talent development and making better use of scientifictechniques. The primary objective of this study was to determine the effectiveness of machinelearning in improving soccer dribbling and passing accuracy in children aged 10-12 years. Thestudy authors hypothesized that soccer players in the Al-Zohour Neighborhood Youth Forumwould greatly

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Publication Date
Sat Dec 01 2018
Journal Name
International Journal Of Greenhouse Gas Control
Experimental pore-scale analysis of carbon dioxide hydrate in sandstone via X-Ray micro-computed tomography
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Carbon dioxide geo-sequestration (CGS) into sediments in the form of (gas) hydrates is one proposed method for reducing anthropogenic carbon dioxide emissions to the atmosphere and, thus reducing global warming and climate change. However, there is a serious lack of understanding of how such CO2 hydrate forms and exists in sediments. We thus imaged CO2 hydrate distribution in sandstone, and investigated the hydrate morphology and cluster characteristics via x-ray micro-computed tomography in 3D in-situ. A substantial amount of gas hydrate (∼17% saturation) was observed, and the stochastically distributed hydrate clusters followed power-law relations with respect to their size distributions and surface area-volume relationships. The layer-

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Publication Date
Fri Sep 27 2019
Journal Name
Journal Of Baghdad College Of Dentistry
Clinical Assessment and Cytomorphometric Analysis of Buccal Mucosal Cells in Behçet’s Disease Patients
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Background: Behçet’s disease (BD) is a disorder of systemic inflammatory condition. Its important features are represented by recurrent oral, genital ulcerations and eye lesions. Aims. The purpose of the current study was to evaluate and compare cytological changes using morphometric analysis of the exfoliated buccal mucosal cells in Behçet’s disease patients and healthy controls, and to evaluate the clinical characteristics of Behçet’s disease. Methods. Twenty five Behçet’s disease patients have been compared to 25 healthy volunteers as a control group. Papanicolaou stain was used for staining the smears taken from buccal epithelial cells to be analyzed cytomorphometrically. The image analysis sof

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Publication Date
Sat Dec 24 2022
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Comparison of Phenolic Contents and Antioxidant Activities for Black and White Desert Truffles Spread in Syria
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Desert truffle is considered as a type of Syrian wild fungi that spreads heavily, and it occupies important rank in folk medicine, where its aqueous extract is used for the treatment of some eye and skin illnesses, and people prefer the use of black truffle. This work interested in studying of the most available species; Terfezia claveryi (black) and Tirmania pinoyi (white). The extracts of the two species of truffle were prepared by maceration with water, methanol, and ethanol 70%. Their total phenolic contents (TPC) and total flavonoid contents (TFC) were analyzed using Folin-ciocalteu and Aluminum chloride methods respectively, and their antioxidant activities was tested using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and

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Publication Date
Mon Dec 01 2025
Journal Name
Applied Thermal Engineering
Efficient thermal management of PVT systems via water-PCM hybridization: New design with optimized geometrical configuration
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Publication Date
Wed Jan 01 2025
Journal Name
Lecture Notes In Networks And Systems
Automated Detection of Dubas Bug Infestation in Palm Trees Using Deep Learning with Residual Neural Networks
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Automated detection of Dubas palm infestation by image processing techniques has practical significance as it can improve agricultural efficiency, increase crop yield and quality, protect the environment, and provide data-driven insights. It also reduces the human effort required for pest control and enhances sustainability. In this study, we aimed to automate the detection of Dubas bug infestation in palm trees using deep learning with transfer learning residual neural networks. Based on four models: InceptionResNetV2, ResNet18, ResNet50, and ResNet101, the data used in this study were obtained by drone photography, many images were taken, and then the infected area was extracted. Using two types of data, 185 infected images and 185 health

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Publication Date
Tue Jan 01 2019
Journal Name
Plant Archives
Spatial distribution of some fertility elements in some northern Iraqi soils using geomatic techniques (remote sensing)
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Publication Date
Tue Apr 01 2025
Journal Name
Inorganic Chemistry Communications
Rapid sonochemical synthesis of Fe3O4@AC from waste rubber tires to use for azo dye removal
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Publication Date
Sun Jan 01 2017
Journal Name
International Journal Of Electrochemical Science
Natural dye extracted from Pandannus amaryllifolius leaves as sensitizer in fabrication of dye-sensitized solar cells
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