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Utilizing Home Pregnancy Test Kits for Diagnosis of Leaking Liquor
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Before the start of delivery, any membranes rupture could be named as a premature rupture of membranes (PROM), which may need special obstetrical interactions to minimize perinatal complications, it is important topromptly diagnose PROM, the method used should be accurate, cheap, simple, and widely available. This was exactly the idea behind this study to use an ordinary pregnancy test kit aiming to confirm presence of PROM.Over a 6 months’ period, 60 pregnant women with a history of leaking liquor and a positive speculum examination for amniotic fluid pooling were collected prospectively and compared with other 60 women (control group) with uneventful pregnancy. Majority of patients with positive leaking liquor signs and symptoms had a positive score ofhome pregnancy test kit (88.3% of PROM had positive B-HCG results, and only 11.7% had negative outcomes) while the test was negative in the majority of uncomplicated control group (95% of them had negative B-HCG test kit findings and, 5% had positive results), p-value touched a significant level of< 0.0001. Accordingly; this home pregnancy test kit was considered as a new, good, delicate, frugal, and dependable tool to confirm diagnosis of PROM.

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Publication Date
Wed May 10 2023
Journal Name
Journal Of Engineering
Free Head Shear Test on Decomposed Granite Soil
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The study presents the test results of Completely Decomposed Granite (CDG) soil tested under drained triaxial compression, direct shear and simple shear tests. Special attention was focused on the modification of the upper halve of conventional Direct Shear Test (DST) to behave as free
head in movement along with vertical strain control during shear stage by using Geotechnical Digital System (GDS). The results show that Free Direct Shear Test (FDST) has clear effect on the measured shear stress and vertical strain during the test. It has been found that shear strength
parameters measured from FDST were closer to those measured from simple shear and drained triaxial compression test. This study also provides an independent check on

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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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Publication Date
Sun Jun 01 2025
Journal Name
Iop Conference Series: Earth And Environmental Science
The safe house as a sustainable home -the Baghdadi house as a case study
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Abstract<p>A sense of safety is the first requirement for human stability in a place such as a home. Many local studies investigated Baghdadi houses and their architectural changes, but the relationship between safety and sustainability in Baghdadi houses has not been studied, so the research problem was: What are the architectural elements that relate to the concept of a safe house as a home in Baghdad as a case study? How is it related to the sustainability?</p><p>The research aims to identify the architectural elements of the safe house in Baghdad, to work on these elements by architects to enhance the sustainability of the residential environment, and create homes t</p> ... Show More
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Publication Date
Tue Mar 31 2026
Journal Name
Polymers For Advanced Technologies
Utilizing the Potential of Polyvinylidene Fluoride in Developing Durable Superhydrophobic and Antibacterial Nanocomposite Coatings for Oil/Water Separation
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ABSTRACT<p> The increasing demand for durable and multifunctional separation materials necessitates polymer‐based coatings that combine mechanical robustness with high selectivity. This study aims to develop antibacterial oil/water separation systems that effectively address challenges posed by microorganisms, which can decrease filter effectiveness and impact overall separation efficiency. Metal meshes were coated with titanium dioxide (TiO <sub>2</sub> ), octadecanethiol (ODT), and polyvinylidene fluoride (PVDF) via spray coating using four formulations: TiO <sub>2</sub> </p> ... Show More
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Scopus (1)
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Publication Date
Sun Nov 01 2020
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science
Utilizing the ATM technology in e-distance learning
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<p>There is an Increasing demand for the education in the field of E-learning specially the higher education, and to keep contiuity between the user and the course director in any place and time. This research presents a proposed and simulation multimedia network design for distance learning utilizing ATM technique. The propsed framework determines the principle of ATM technology and shows how multimedia can be integrated within E- learning conteext. The first part of this research presents a theoretical design for the Electricity Department, university of technology. The purpose is to illustrate the usage of the ATM and Multimedia in distance learning process. In addition, this research composes two entities: Software entity

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Scopus (9)
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Publication Date
Sat Dec 31 2022
Journal Name
International Journal On “technical And Physical Problems Of Engineering”
Age Estimation Utilizing Deep Learning Convolutional Neural Network
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Estimating an individual's age from a photograph of their face is critical in many applications, including intelligence and defense, border security and human-machine interaction, as well as soft biometric recognition. There has been recent progress in this discipline that focuses on the idea of deep learning. These solutions need the creation and training of deep neural networks for the sole purpose of resolving this issue. In addition, pre-trained deep neural networks are utilized in the research process for the purpose of facial recognition and fine-tuning for accurate outcomes. The purpose of this study was to offer a method for estimating human ages from the frontal view of the face in a manner that is as accurate as possible and takes

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Scopus (14)
Scopus
Publication Date
Thu Dec 01 2011
Journal Name
Iraqi Journal Of Physics
Technological route and characteristics of home - built Ag, Ag/Cu, and Ag/Ni ohmic conductor pastes
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The current research reports the preparation and fabrication of the silver paste conductor which is employed as a soldering material for electro – optical components ohmic interconnections. The prepared paste possesses electrical characteristics identical to the ohmic connectors as its observable from resistance – temperature variation. Moreover, the I – V characteristics obeys Ohm’s law and this dependency was further confirmed by the nearly constant capacitance measurements with voltage and frequency. A noticeable improvement in electrical conductivity, compared to the pure silver paste sample, was noted for samples prepared by mixing predetermined weight ratios of brass and copper. Furthermore, stability of electrical resistan

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Publication Date
Mon Oct 05 2026
Journal Name
Modern Sport
Determining standard levels to test the strength endurance characteristic of speed for basketball players for juniors aged under (16) years
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Publication Date
Wed Jul 07 2021
Journal Name
Indian Journal Of Forensic Medicine & Toxicology
Impact of Pregnant Women’s Depression State upon their Pregnancy Outcomes at Maternity Hospitals in Baghdad City
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Objective: To assess the impact of pregnant women’s depression state upon their pregnancy outcome Methodology: A descriptive purposive study was used to assess the impact of pregnant women’s depression state on their pregnancy outcomes. The study was conducted from (22nd \ September \ 2020 to 15th \ February \ 2021). A non-probability sample (purposive sample) was selected from 100 women. Data were collected through an interview with the mother in the counseling clinic, during the third trimester of pregnancy, as well as after childbirth in the labour wards to assess the outcome of pregnancy. Data were analyzed through descriptive statistics (frequency and percentages). Results: The most important thing observed in this study was the ne

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Publication Date
Wed Jun 29 2022
Journal Name
Journal Of The College Of Education For Women
The Importance of Utilizing Euphemism in Translation and Simultaneous Interpreting
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Euphemism is an important linguistic phenomenon that tends to soften written or oral expressions. Thus, when translators or interpreters face expressions including euphemism, they need to know how to deal with them. The problem of the current paper lies in the effect of rendering euphemistic expressions inaccurately, as such expressions represent the cultural and terminological sense of the original language. Thus, rendering them improperly will affect the sense of the interpreted speech. For this, it is essential for translators in general and simultaneous interpreters in particular to know the importance of utilizing euphemism in the simultaneous interpreting field, which is the main aim of this paper. To this end, a systematic review

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