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Anxiety of death among pregnant women in the light of some Demographic variables Governorates Bethlehem and Tulkarm as a model
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This study aims to identify the anxiety pregnant women have of dying, in the light of some Demographic variables in Bethlehem (age, residence, and the mother's job). The descriptive method was used in this study. To achieve the study purposes, the researchers developed a questionnaire as a tool of study, which consisted of (19) paragraphs ,after been verified of its validity & stability.

The researchers distributed questionnaires, and then analyzed them. Results illustrated that the levels of anxiety pregnant women in Bethlehem had of dying was average,  with a mean total score of (3.11),  and with a standard deviation that had the total score of (0.476). Results also illustrated statistical differences in the pregnant women's levels of anxiety of dyeing that are attributed to the age variable (31-36), However, there was a statistical value that related pregnant women's anxiety of dying to the residence variable, in favor of those who lived in the city. Moreover and there were also variations in the levels of anxiety of dyeing during pregnancy  relating to the nature of the mother's job which were in favor of the mother who worked.

Thus, and in the light of what the study has reached, the researchers recommends doing further studies and scientific research, that focus on the anxiety of dyeing amongst pregnant women and to apply it to other different social samples. The researcher also recommends the importance of introducing programs that offer psychological and health services for mothers and pregnant women, holding seminars and raising awareness of all the society through the media, concerning the nature of the different psychological status pregnant women go through, and how to handle such situations as well as providing as much emotional balance.

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Publication Date
Thu Mar 30 2017
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
In Vitro Cytotoxic Study for Purified Resveratrol Extracted from Grape Skin Fruit Vitis vinifera
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This study  was  conducted  with the  aim to  extract and  purify  a  polyphenolic  compound  â€œ Resveratrol” from the skin of black grapes Vitis vinifera cultivated in Iraq. The purified resveratrol is obtained after ethanolic extraction with 80% v/v solution for fresh grape skin, followed by acid hydrolysis   with   10%   HCl   solution then   the  aglycon   moiety   was  taken  with   organic   solvent

( chloroform). Using silica gel G60 packed glass column chromatography with mobile phase benzene: methanol: acetic acid  20:4:1 a

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Publication Date
Mon Dec 14 2020
Journal Name
Baghdad Science Journal
Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined Networks
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Publication Date
Thu Dec 30 2021
Journal Name
Al-kindy College Medical Journal
Clients' Satisfaction with Immunization Services at Primary Health Care Centers in Baghdad, Al-Karkh
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Background: Client satisfaction with the immunization service is used to evaluate the quality of the admitted service and at the same time it affects the goodness of the health care outcome.

Objectives: This study assessed the satisfaction with immunization services offered to children and factors affecting this satisfaction.

Methods: Exit interviews for clients were conducted in Baghdad, Al-Karkh in a representative sample of primary health care centers to assess clients’ satisfaction with immunization services. Clients are companions of children encountered at study settings.

Results: Among the 253 respondent clients, 183 (72.3%) reflected satisfaction with the immunization

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Publication Date
Tue Jan 01 2019
Journal Name
International Journal Of Civil Engineering And Technology
Generalized tupled common fixed point theorems for weakly compatible mappings in fuzzy metric space
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Publication Date
Fri May 01 2015
Journal Name
Journal Of The Faculty Of Medicine
Gentamycin injection in disc space during lumbar discectomy (aiming to prevent post - operative discitis)
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AW Ali T, Journal of the Faculty of Medicine, 2015 - Cited by 3

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Publication Date
Sat Jan 01 2022
Journal Name
Proceeding Of The 1st International Conference On Advanced Research In Pure And Applied Science (icarpas2021): Third Annual Conference Of Al-muthanna University/college Of Science
Interleukin 2−330 single nucleotide polymorphism association with type 1 diabetes in Iraqi patients
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Type 1 diabetes (T1D) is an autoimmune disease with chronic nature resulting from a combination of both factors genetic and environmental. The genetic contributors of T1D among Iraqis are unexplored enough. The study aimed to shed a light on the contribution between genetic variation of interleukin2 (IL2) gene to T1D as a risk influencer in a sample of Iraqi patients. The association between IL2−330 polymorphism (rs2069762) was investigated in 322 Iraqis (78 T1D patients and 244 volunteers as controls). Genotyping for the haplotypes using polymerase chain reaction test – specific sequence primer (PCR-SSP) for (GG, GT, and TT) genotypes corresponding to (G and T) alleles were performed. A significant association revealed a decreased freq

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Publication Date
Tue Jan 01 2019
Journal Name
Diabetes & Metabolic Syndrome: Clinical Research & Reviews
Nephrotic range proteinuria; does it predict lung involvement in patients with type 2 diabetes
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Publication Date
Thu Jan 01 2009
Journal Name
Arab Journal Of Gasteroenterology
Serum HCV-RNA levels in patients with chronic hepatitis C: correlation with histological features.
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Publication Date
Mon Jan 01 2018
Journal Name
Communications In Computer And Information Science
Automatically Recognizing Emotions in Text Using Prediction by Partial Matching (PPM) Text Compression Method
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In this paper, we investigate the automatic recognition of emotion in text. We perform experiments with a new method of classification based on the PPM character-based text compression scheme. These experiments involve both coarse-grained classification (whether a text is emotional or not) and also fine-grained classification such as recognising Ekman’s six basic emotions (Anger, Disgust, Fear, Happiness, Sadness, Surprise). Experimental results with three datasets show that the new method significantly outperforms the traditional word-based text classification methods. The results show that the PPM compression based classification method is able to distinguish between emotional and nonemotional text with high accuracy, between texts invo

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Publication Date
Thu Oct 31 2019
Journal Name
Journal Of Theoretical And Applied Information Technology
AN ENHANCED EVOLUTIONARY ALGORITHM WITH LOCAL HEURISTIC APPROACH FOR DETECTING COMMUNITY IN COMPLEX NETWORKS
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