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Water Quality Assessment for Tigris River Through Salah Al-Din Province, Iraq Using Remote Sensing Techniques
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water quality assessment is still being done at specific locations of major concern. The use of Geographical Information System (GIS) based water quality information system and spatial analysis with Inverse Distance Weighted interpolation enabled the mapping of water quality indicators along Tigris river in Salah Al-Din government, Iraq. Water quality indicators were monitored by taking 13 river samples from different locations along the river during Winter season year 2020. Maps of 10 water quality indicators. This meant that the specific water quality indicator and diffuse pollution characteristics in the basin were better illustrated with the variations displayed along the course of the river than conventional line graphs. Creation of water quality maps would enhance surveillance, implementation of standards and regulations for better management and control of pollution.

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Publication Date
Wed Apr 01 2020
Journal Name
Journal Of Construction Engineering And Management
Development of Assessment Tool for Workforce Sustainability
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Publication Date
Tue Jun 20 2023
Journal Name
Bulletin Of The Iraq Natural History Museum
MORPHOLOGICAL DESCRIPTION OF TWO LEECH SPECIES (ANNELIDA, HIRUDINEA) WHICH USED IN SOME ALTERNATIVE MEDICINE CLINICS IN BAGHDAD PROVINCE, IRAQ
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The aim of this study is to describe the leech species that are used in some of the alternative medicine clinics in Baghdad Province based on morphometric measurements and colouring pattern of the body. A collection of twenty leeches was provided from some clinics. All specimens were identified and described based on standard available keys. The morphometric characteristics and colouring patterns were recorded and the indicated that these leeches were Hirudo orientalis Utevsky & Trontelj, 2005 and H. verbana Carena, 1820.

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Publication Date
Wed Feb 16 2022
Journal Name
Journal Of Economics And Administrative Sciences
Solving Resource Allocation Model by Using Dynamic Optimization Technique for Al-Raji Group Companies for Soft Drinks and Juices
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In this paper, the problem of resource allocation at Al-Raji Company for soft drinks and juices was studied. The company produces several types of tasks to produce juices and soft drinks, which need machines to accomplish these tasks, as it has 6 machines that want to allocate to 4 different tasks to accomplish these tasks. The machines assigned to each task are subject to failure, as these machines are repaired to participate again in the production process. From past records of the company, the probability of failure machines at each task was calculated depending on company data information. Also, the time required for each machine to complete each task was recorded. The aim of this paper is to determine the minimum expected ti

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Publication Date
Fri Nov 09 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
Assessment of Nurses’ Knowledge Regarding Oxytocin Administration during Labor at Maternity Hospitals in Al-Kut City
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Objectives of the study: To assess nurses knowledge regarding oxytocin administration during labor and
delivery in maternity hospitals, and to find out the relationship between nurses knowledge and studied
variables (age, level of education, work times (shift) experience year, training course in nursing field).
Methodology: Descriptive analytic study was conducted on non-probability sample (convenient) of (70) nurses
to assess nurse’s knowledge related to oxytocin administration. The study is conducted at Al- kut Hospital for
Gynecology Obstetrics and Pediatrics and Al- Zahraa Teaching Hospital during periods 5th February to 24th
April 2013, A questionnaire was used as a tool of data collection to fulfill with objecti

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Publication Date
Mon Mar 08 2021
Journal Name
Annals Of R.s.c.b.
Assessment of Women’s Knowledge about Cesarean Section at Maternity and Pediatric Hospital in AL-Samawa City
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Objectives: 1. Assessment women’s knowledge about caesarean section. 2. Determining women’s knowledge in relation to their demographic characteristics (age, level of education, and economic status). Methodology: A descriptive design was conducted on Assessment Women’ Knowledge about Cesarean Section at Maternity and Pediatric Hospital in AL-Samawa City. This study started from 26th of September 2020 up to 16th March 2021. Sample of (100) married women who were at reproductive age, pregnant (prime or multipara ) who were planned to have birth by elective cesarean section or had previous elective caesarian section without medical indication or women who had cesarean section with medical indication or emergency. Results: Results

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Publication Date
Sat Aug 01 2020
Journal Name
Key Engineering Materials
Quality Control of Production Lightweight Ferrocement Plate Using Sustainable Materials
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This research is concerned with a new type of ferrocement characterized by its lower density and enhanced thermal insulation. Lightweight ferrocement plates have many advantages, low weight, low cost, thermal insulation, environmental conservation. This work contain two group experimental : first different of layer ferrocement, second different of ratio aggregate to cement. The experiments were made to determined the optimum proportion of cement and lightweight aggregate (recycle thermestone ). A low W/C ratio of 0.4 was used with super plasticizer conforming to ASTM 494 Type G. The compressive strength of the mortar mixes is 20-25 MPa. The work also involved the determination of thermal properties .Thermal conductivity value of thi

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Publication Date
Wed Jun 01 2022
Journal Name
Baghdad Science Journal
Impact of Hindiya Dam on the Limnological Features of Euphrates River to the North of Babil Governorate, Iraq
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          Five sites were chosen to the north of Babil Governorate in   order to identify the limnological features and the impact of the Hindiya Dam during 2019. Site2 was located near the dam to reflect the ecological features of this site, whereas other sites, S1 was located at the upstream of the dam as a control site. Moreover, the two other sites S3 and S4 were located down the dam. The results of  the  study  showed  a  close  correlation  between air and water temperature at all sites. Also there were significant differences in average of thirteen out of eighteen water parameters.Water temperature, total alkalinity, bicarbonate, DO, POS, TH and Mg+2  ions  decreased from 22.76˚C, 203.33 mg/L,

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Publication Date
Sun Dec 03 2017
Journal Name
Baghdad Science Journal
Construction and Operation of Solar Energy Dish for Water Heating
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Construction and operation of (2 m) parabolic solar dish for hot water application were illustrated. The heater was designed to supply hot water up to 100 oC using the clean solar thermal energy. The system includes the design and construction of solar tracking unit in order to increase system performance. Experimental test results, which obtained from clear and sunny day, refer to highly energy-conversion efficiency and promising a well-performed water heating system.

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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Intelligent Systems
A study on predicting crime rates through machine learning and data mining using text
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Abstract<p>Crime is a threat to any nation’s security administration and jurisdiction. Therefore, crime analysis becomes increasingly important because it assigns the time and place based on the collected spatial and temporal data. However, old techniques, such as paperwork, investigative judges, and statistical analysis, are not efficient enough to predict the accurate time and location where the crime had taken place. But when machine learning and data mining methods were deployed in crime analysis, crime analysis and predication accuracy increased dramatically. In this study, various types of criminal analysis and prediction using several machine learning and data mining techniques, based o</p> ... Show More
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Publication Date
Wed May 03 2023
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
Enhancing smart home energy efficiency through accurate load prediction using deep convolutional neural networks
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The method of predicting the electricity load of a home using deep learning techniques is called intelligent home load prediction based on deep convolutional neural networks. This method uses convolutional neural networks to analyze data from various sources such as weather, time of day, and other factors to accurately predict the electricity load of a home. The purpose of this method is to help optimize energy usage and reduce energy costs. The article proposes a deep learning-based approach for nonpermanent residential electrical ener-gy load forecasting that employs temporal convolutional networks (TCN) to model historic load collection with timeseries traits and to study notably dynamic patterns of variants amongst attribute par

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