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Evaluation of Nurses’ Knowledge about Substance Abuse at Psychiatric Teaching Hospitals in Baghdad City
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Objectives: To evaluate levels of nurses' knowledge about substance abuse at psychiatric teaching hospitals in Baghdad city. Methodology: A descriptive analytical study conducts to meet study objectives during the period from 1-11-2014 To 10-5-2015 The study conduct at 4 teaching hospitals in three department (Baghdad Al Rusafa ,Al Karkh, Medical city) they includ Baghdad teaching hospital, Al Rashad teaching hospital, Ibn Rshud teaching hospital , and Al Kadhumeeain teaching hospital which select according to the study. A random sample of 100 nurses are working in teaching psychiatric hospitals , Al Rashad (60), Ibn Rshud (20) Baghdad teaching hospital (10) and Al Kadhumeeain (10) , A questionnaire is construct for the purpose of the study. consist of 58 items which are distribute in two part, A – general information which consist from 8 items, B- Nurses Evaluation of Knowledge about substance abuse which consist from 50 items..Data analysis through uses of program SPSS version 20 by application the following :Descriptive statistical data analysis approach: by use the following measurements: Frequencies. Percentages. Statistical table. Inferential: through the application of the Chi –square test This test use for determine the association between the nurse ' demographic characteristics and the Evaluation Nurse knowledge about substance abuse. Results: The study founds 69% of the sample are male . 71% of them that are married ,40% 30-39 years old age ,78% ≤ 9 years career ,49% not enough monthly income. There are 57% have good level knowledge about smoking 41% have good level knowledge about alcohol There are 42% have weak level knowledge about drugs, There are asignificant association between knowledge smoking and marital status and There are significant association between knowledge smoking and level of education . Recommendations: recommend it, Increase implementation educational programs , Support nurses training about substance abuse specially drug abuse due to important of substance and Encourage researches about substance abuse

 
 

 

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Publication Date
Wed Jan 01 2020
Journal Name
Aip Conference Proceedings
Investigation hydraulic performance of splash fills packing in cooling tower
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Heat is one of the most energy forms emitted to atmosphere by industrial processes. Water is considered to be the best material to reduce heat energy since its available in nature in abundance and has the ability to absorb heat efficiently. Cooling towers are ideal alternatives to re-cool hot water instead of throwing it especially in places that lack natural water resources or when there are environmental precautions because water with high temperature would be harmful to the ecosystem when it recycled to natural resources such as rivers and lakes. Also, cooling towers considered economically feasible when using west water. This paper interests with hydraulic characteristics of a counter flow wet cooling tower which was investigated experi

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Publication Date
Sat Aug 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Strength and Compressibility of Screw Piles Constructed in Gypseous Soil
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Abstract<p>The present work deals with the performance of screw piles constructed in gypseous soil of medium relative density; such piles are extensively used in piles foundations supported structures subjected to axial forces. The carrying capacity and settlement of a single screw pile model of several diameters (20, 30, and 40) mm inserted in gypseous soil is investigated in the present study. The gypsum content of soil used in tests was 40%. The bedding soil used in tests was prepared by raining technique with a relative density of 40%. A physical model was manufactured to demonstrate the tests in the laboratory. The model of screw pile has been manufactured of steel with a total length of 50</p> ... Show More
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Publication Date
Mon Jan 01 2018
Journal Name
24th European Meeting Of Environmental And Engineering Geophysics
Electrical Resistivity Tomography of Celtic Burial Mounds in Nonnweiler (Germany)
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Publication Date
Fri Dec 03 2021
Journal Name
International Journal Of Recent Contributions From Engineering, Science & It
The Influence E-Learning Platforms of Undergraduate Education in Iraq
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Publication Date
Sat Sep 30 2023
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
Activating Letter of credits under the Swift system in Iraq
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Abstract

               Documentary credits are considered successful means to reduce imports, especially unnecessary imports that lead to the outflow of foreign currency from the country. However, due to the backwardness of the banking methods, the reintroduction of documentary credits after 2003 did not effectively contribute to reducing import rates. This has had a negative impact on the Iraqi economy and made it vulnerable to external markets. Documentary credits are also considered the best way to ensure payment in international trade, providing independent credit support and sufficient security for exporters and importers against commerci

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Publication Date
Sat Dec 31 2016
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
The Effect of In-situ Stress on Hydraulic Fractures Dimensions
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Understanding of in-situ stress profiles and orientations plays a vital role in designing a successful hydraulic fracturing treatment. This paper is an attempet to examine the effect of lithology and in situ stress on geometery of hydraulic fractures. A hydraulic fracturing design simulator software called FracproPT with various capabilities for designing most of hydraulic fracture was used for  simulate and optimize the hydraulic fracturing. For studying purpose,  three different cases of stress gradient contrast between different formations  are considered in this study (0.4, 0.5 and 0.75 psi/ft). The results obtained from the simulator showed that  lithologies surrounding the pay zone have an effect on the fracture

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Publication Date
Wed Dec 14 2022
Journal Name
Journal Of Optical Communications
Deployment of multiservice code in FSO-based hybrid subcarrier system
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Abstract<p>This research aims to investigate and improve multi-user free space optic systems (FSO) based on a hybrid subcarrier multiplexing spectral amplitude coding-optical code division multiple access (SCM-SAC-OCDMA) technique using MS code with a direct decoding technique. The performance is observed under different weather conditions including clear, rain, and haze conditions. The investigation includes analyzing the proposed system mathematically using MATLAB and OptiSystem software. The simulation is carried out using a laser diode. Furthermore, the performances of the MS code in terms of angles of bit rate, beam divergence and noise are evaluated based on bit error rate (BER), received </p> ... Show More
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Publication Date
Sun Dec 31 2023
Journal Name
Advancements In Life Sciences
Molecular identification of Epstein-Barr virus in human placental tissue
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Background: The Epstein-Barr virus (EBV) relates to the torch virus family and is believed to have a substantial impact on mortality and perinatal events, as shown by epidemiological and viral studies. Moreover, there have been documented cases of EBV transmission occurring via the placenta. Nevertheless, the specific location of the EBV infection inside the placenta remains uncertain. Methods: The genomic sequences connected to the latent EBV gene and the levels of lytic EBV gene expression in placental chorionic villous cells are examined in this work. A total of 86 placentas from patients who had miscarriage and 54 placentas from individuals who had successful births were obtained for analysis. Results: The research employed QPCR to dete

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Publication Date
Sun Nov 01 2020
Journal Name
Chemosphere
Sorption and degradation of ranitidine in soil: Leaching potential assessment
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Publication Date
Fri Mar 01 2024
Journal Name
Iaes International Journal Of Artificial Intelligence (ij-ai)
Analyzing the behavior of different classification algorithms in diabetes prediction
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<span lang="EN-US">Diabetes is one of the deadliest diseases in the world that can lead to stroke, blindness, organ failure, and amputation of lower limbs. Researches state that diabetes can be controlled if it is detected at an early stage. Scientists are becoming more interested in classification algorithms in diagnosing diseases. In this study, we have analyzed the performance of five classification algorithms namely naïve Bayes, support vector machine, multi layer perceptron artificial neural network, decision tree, and random forest using diabetes dataset that contains the information of 2000 female patients. Various metrics were applied in evaluating the performance of the classifiers such as precision, area under the c

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