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REVIEW THE ASSESSMENT OF EFFECTS OF LOST TIME INJURIES IN AN INDUSTRIAL SYSTEM BY USING AN EXPLANATORY PROGRAM

Health and safety problem can be described by statistics it can only be understood by knowing and feeling the pain, suffering, and depression. Health and safety has a legal responsibility to protect it for everyone who can affect in the workplace. This includes manufacturers, suppliers, designers and controllers of work places and employees. Work injury is one of the major problems in manufacturing and production systems industries; it is reduced production efficiency and affects the cost. To gain flexibility from a traditional manufacturing system and production efficiency, this paper is about the application of estimating technology to preview and synthesis of Lost Time of Work Injuries in industry systems aims to provide a safe working environment for all employees to achieve safe workplaces, safe systems of work, and safety understanding within our workforce. Our industry often
has a poor record in dealing with modern and development techniques. Thus, as one of the targets, this leads to perform a helpful program plane to provide guidelines of management, employees to eliminate hazards, given the enormous cost of occupational personal damage in industry and to develop safe work methods work site. This work proposed a general methodology for constructing an explanatory software system to review and analysis workers injuries in a work site. The program language used is Axes, which suitable to shows categories of incidences and estimates costs to workers, employers and society of workplace injuries and work-related ill health. Data of the system was collected in the State Company for Woolen Industries in Al-Kadhumiaa in Iraq.
The resulting is to provide a simple obvious outline system to evaluate lost time injury and the net-costs on safety interfering at the company level to reduce occupational morbidity and generating a helpful system to estimate of the total costs to employers and workers of workplace accidents and work-related ill health.

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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Ecological Engineering
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Publication Date
Sat Jun 27 2020
Journal Name
Iraqi Journal Of Science
Fexofenadine Adsorption by Activated Charcoal Impregnated with Hydrogen Peroxide

The adsorption of fexofenadine drug by activated charcoal powder impregnated with hydrogen peroxide (IAC) to improve its surface properties was investigated. The investigation also aimed to assess the effect of the repeated dose in increasing the amount of the drug adsorbed. The powder activated charcoal was impregnated with H2O2 3%. The effects of pH of the solution, concentration of the drug and time of the reaction parameters were investigated by using UV-Vis spectroscopy. The IAC was brought in contact with the drug solution in different pH (2, 4, 7 and 9), drug concentrations (30, 60, 90 and 120 µg ml-1) and time (15, 30, 45 and 60 minutes). After each experiment, a repeated dose of IAC was introd

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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
Conjunctive Adverbials Used by Iraqi Men and Women Authors

This paper highlights the main features of conjunctive adverbials and their occurrence in English academic prose. It accounts for the semantic roles of conjunctive adverbials, forms in which they are used, their positions within a sentence, and their frequency of occurrence in different registers with special reference to academic prose. It also tries to investigate possible differences in men's and women's use of conjunctive adverbials.
Keyword: conjunctive adverbials, linking adverbials, stance adverbials, circumstance adverbials, academic prose

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Publication Date
Wed Apr 12 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Plasma Power Density Produced by D-T Fusion Reaction

         Calculation of the power density of the nuclear fusion reactions plays an important role in the   construction of any power plants. It is clear that the power released by fusion reaction strongly depended on the fusion cross section and fusion reactivity. Our calculation concentrates on the most useful and famous fuels (Deuterium-tritium) since it represents the principle fuels in any large scale system like the so called tokomak.

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Publication Date
Tue Oct 30 2018
Journal Name
Iraqi Journal Of Physics
Synthesized copper nanoparticles by sonoelectrodeposition for gas filter applications

Copper nanoparticles (CuNPs) were prepared with different diameters by sonoelectrodeposition technique using Electrodeposition process coupled with high-power ultrasound horn (Sonoelectrodeposition). The particle diameter of the CuNPs was adjusted by varying CuSO4 solution acidity (pH) and current density. The morphology and structure of the CuNPs were examined by X-ray diffraction (XRD) and Scanning Electron Microscopy (SEM). It was found that the size of the produced copper nanoparticles ranged between 22 to 77 nm, where the diameter of CuNPs increases with reduction the solution acidity from 0.5 to 1.5 pH and increasing the current density of the deposition from 100 to 400 nm. Finally the produced CuNPs were pressed to fabricate disc

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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
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Publication Date
Fri Feb 08 2019
Journal Name
Journal Of The College Of Education For Women
Software Protection by Combining Hash Function with Hardware Identifications

This paper presents a hybrid software copy protection scheme, the scheme is applied to
prevent illegal copying of software by produce a license key which is unique and easy to
generate. This work employs the uniqueness of identification of hard disk in personal
computer which can get by software to create a license key after treated with SHA-1 one way
hash function. Two mean measures are used to evaluate the proposed method, complexity
and processing time, SHA-1 can insure the high complexity to deny the hackers for produce
unauthorized copies, many experiments have been executed using different sizes of software
to calculate the consuming time. The measures show high complexity and short execution
time for propos

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Publication Date
Sun Jul 02 2006
Journal Name
Journal Of The Faculty Of Medicine Baghdad
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Publication Date
Sun Dec 01 2013
Journal Name
Al- Mustansiriyah Journal Science
Publication Date
Mon Sep 30 2024
Journal Name
Iraqi Journal Of Science
Attention-Deficit Hyperactivity Disorder Prediction by Artificial Intelligence Techniques

Attention-Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder affecting millions of people globally, is defined by symptoms of hyperactivity, impulsivity, and inattention that can significantly affect an individual's daily life. The diagnostic process for ADHD is complex, requiring a combination of clinical assessments and subjective evaluations. However, recent advances in artificial intelligence (AI) techniques have shown promise in predicting ADHD and providing an early diagnosis. In this study, we will explore the application of two AI techniques, K-Nearest Neighbors (KNN) and Adaptive Boosting (AdaBoost), in predicting ADHD using the Python programming language. The classification accuracies obtained were 96.5%

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