Objective(s): The present study aims at assessing the prevalence of smoking among health workers in Baghdad Teaching Hospital and to find out the effectiveness of instructional booklet concerning risk of smoking on health workers′ knowledge in hospital.
Methodology: A pre-experimental design study was conducted from 1st of October 2019 to 17th of March 2020. A non-probability sample consists of (500) participant (343 non-smokers and 157 smokers) from (1500) health workers in Baghdad Teaching Hospital, they included the physicians, nurses, pharmacists, physiotherapists, Laboratory Technicians, Medical Assistants. A questionnaire is constructed to evaluate the effectiveness of instructional booklet on health workers’ knowledge about risks of smoking which consists of (33) items. Reliability of the questionnaire is determined through the use of internal consistency reliability and the computation of Cronbach Alpha Correlation Coefficient which is equal to (0.905) and the content validity of the questionnaire is determined through a panel of experts.
Results: The results of the study show that there is improvement of smokers’ knowledge concerning the effect of smoking on personal health status which is (50.9%), high percent of them not have enough knowledge at pretest while the improved their knowledge at posttest to (81.6%), and their knowledge about risk of smoking on hospital environment is improved from (51.6%) at pretest to (86.38%) at posttest, and there is a highly significant between the effectiveness of the instructional booklet and health workers’ knowledge about the risk of smoking on personal health at P ≤ 0.05 level.
Recommendations: The study recommends that extensive and comprehensive studies, at the national level, could be conducted to improve the knowledge of health workers regarding the risks of smoking to human health and environment, and work to apply the penal code to the smokers inside hospitals and health institutions.
Particulate matter (PM) emitted from diesel engine exhaust have been measured in terms of mass, using
99.98 % pure ethanol blended directly, without additives, with conventional diesel fuel (gas – oil),to
get 10 % , 15 %, 20 % ethanol emulsions . The resulting PM collected has been compared with those
from straight diesel. The engine used is a stationary single cylinder, variable compression ratio Ricardo
E6/US. This engine is fully instrumented and could run as a compression or spark ignition.
Observations showed that particulate matter (PM) emissions decrease with increasing oxygenate
content in the fuel, with some increase of fuel consumption, which is due to the lower heating value of
ethanol. The reduction in
Alzheimer's disease (AD) increasingly affects the elderly and is a major killer of those 65 and over. Different deep-learning methods are used for automatic diagnosis, yet they have some limitations. Deep Learning is one of the modern methods that were used to detect and classify a medical image because of the ability of deep Learning to extract the features of images automatically. However, there are still limitations to using deep learning to accurately classify medical images because extracting the fine edges of medical images is sometimes considered difficult, and some distortion in the images. Therefore, this research aims to develop A Computer-Aided Brain Diagnosis (CABD) system that can tell if a brain scan exhibits indications of
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Water has been acknowledged as one of the key issues of humanity in modern society and worldwide economic advancements, especially with the continuing reductions in fresh-water supply. Solar energy, which is abundant as well as widely available in various fields, has the potential to solve the global challenges of long-term freshwater and energy reduction. Researchers are attempting to address the problem in a variety of methods. Due to the fact that solar energy is the foundation for freshwater, several researches have applied it for improving the effectiveness of solar desalination, evaporation, and wastewater treatment. One of the novel methods used for achieving this is known as “hydrogel,” which comes in a variety of forms. As a un
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In this paper, the bowtie method was utilized by a multidisciplinary team in the Federal Board of Supreme Audit (FBSA)for the purpose of managing corruption risks threatening the Iraqi construction sector. Corruption in Iraq is a widespread phenomenon that threatens to degrade society and halt the wheel of economic development, so it must be reduced through appropriate strategies. A total of eleven corruption risks have been identified by the involved parties in corruption and were analyzed by using probability and impact matrix and their priority has been ranked. Bowtie analysis was conducted on four factors with high score risk in causing corruption in the planning stage. The number and effectiveness of the existing proactive meas
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The results show that the compound affects the rest of the living cells after treatment for 15 minutes The influence Almtafr has had the effect BU less than the effect of NTG in the case of the registration of every of Struptomaysan resistance and rifampicin, although the first attribute more responsive
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يحاول البحث دراسة رواية الكاتب الاميركي جوزيف هيلر التي تحمل عنوان "كاتش 22" (1961). وفي تفحص دقيق لمحتويات الرواية نجد ان تركيزها الرئيس هو المشاعر المناهضة للروح العسكرية. ويقدم البحث شخصيات مختلفة في الرواية ويحاول ان يعكس من خلالها المشاعر المناهضة للروح العسكرية. وان البحث ناقش ايضاً تأثيرات التصرفات الخاصة والاحداث الرئيسة التي حدثت في القوة الجوية الاميركية. وتدور القصة بشكل رئيس حول بعض رجال القوة ال
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ABSTRACT Background: Cortical bone thickness is important for the stability of mini implants. Placing mini implants in sites of favorable cortical bone thickness would guarantee better initial stability and long-term success. The aim of this study was to investigate gender, side and jaw differences of the buccal cortical bone thickness as a guide for orthodontic mini screw placement. Materials and Methods: The sample was selected from the patients attending the Specialized Health Center in Al-Sadr City / 3D department. Thirty patients (15 males and 15 females) were selected and cone beam computerized tomographic images were done. Then the buccal cortical bone thickness was measured at thirteen inter radicular sites in the maxilla and mandib
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Existing leachate models over–or underestimates leachate generation by up to three orders of magnitude. Practical experiments show that channeled flow in waste leads to rapid discharge of large leachate volumes and heterogeneous moisture distribution. In order to more accurately predict leachate generation, leachate models must be improved. To predict moisture movement through waste, the two–domain PREFLO, are tested. Experimental waste and leachate flow values are compared with model predictions. When calibrated with experimental parameters, the PREFLO provides estimates of breakthrough time. In the short term, field capacity has to be reduced to 0.12 and effective storage and hydraulic conductivity of the waste must be increased to
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