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Vietnamese Women's Participation in the Vietnam War 1964-1975
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The participation of Vietnamese women in the Vietnam War has not received the attention it deserves. This research paper, presented to the conference of the Department of History/College of Arts - University of Baghdad, held on April 25, 2024, provides a comprehensive overview of the participation of North Vietnamese women in providing military and logistical support during the years of the Vietnam-American War (1964-1975). It shows the belief of Ho Chi Minh, the leader of the Vietnamese national movement, and the Hanoi government in democratic Vietnam, in the ability of North Vietnamese women to assume many new roles that were unfamiliar to Vietnamese society, as well as the factors that led to the involvement of women in the war and the reasons why women welcomed that role.

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Publication Date
Mon Jul 22 2019
Journal Name
Arab Science Heritage Journal
الاسطوغرفيا العثمانية التركية حول ثيمة محمية الجزائر في الفترة العثمانية ما بين - الموضوعية العلمية والذاتية المؤدلجة
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تضمّنت الاسطوغرافيا العثمانية التركية حول ثيمة محمية الج ا زئر في -
الفترة العثمانية مؤلفات صُبغت بعضيا بطابع الموالاة والتحيّز

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Publication Date
Sat Jan 05 2019
Journal Name
Journal Of Planner And Development
السلوك الاجتماعي ضمن بعض الاحياز الداخلية والجوارية للاسكان الافقي المخطط لذوي الدخل المحدود في المنطقة العربية
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Publication Date
Wed Jun 22 2022
Journal Name
Arab Science Heritage Journal
رسالة في تفسير قوله تعالى ﴿أَفَمَن شَرَحَ اللَّهُ صَدْرَهُ لِلإِسْلاَمِ﴾ للإمام الغزالي رحمه الله (دراسة وتحقيق)
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The research aims to achieve a manuscript of Imam Al-Ghazali, may God have mercy on him, verify the attribution of this manuscript to the author, copy the text and serve it in a manner that suits the principles of scientific research in the investigation of manuscripts

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Publication Date
Sat Jun 01 2024
Journal Name
Journal Of Engineering
Intelligent Dust Monitoring System Based on IoT
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Dust is a frequent contributor to health risks and changes in the climate, one of the most dangerous issues facing people today. Desertification, drought, agricultural practices, and sand and dust storms from neighboring regions bring on this issue. Deep learning (DL) long short-term memory (LSTM) based regression was a proposed solution to increase the forecasting accuracy of dust and monitoring. The proposed system has two parts to detect and monitor the dust; at the first step, the LSTM and dense layers are used to build a system using to detect the dust, while at the second step, the proposed Wireless Sensor Networks (WSN) and Internet of Things (IoT) model is used as a forecasting and monitoring model. The experiment DL system

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Publication Date
Fri Jul 01 2022
Journal Name
International Journal Of Nonlinear Analysis And Applications
Survey on distributed denial of service attack detection using deep learning: A review
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Distributed Denial of Service (DDoS) attacks on Web-based services have grown in both number and sophistication with the rise of advanced wireless technology and modern computing paradigms. Detecting these attacks in the sea of communication packets is very important. There were a lot of DDoS attacks that were directed at the network and transport layers at first. During the past few years, attackers have changed their strategies to try to get into the application layer. The application layer attacks could be more harmful and stealthier because the attack traffic and the normal traffic flows cannot be told apart. Distributed attacks are hard to fight because they can affect real computing resources as well as network bandwidth. DDoS attacks

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Publication Date
Mon Jun 01 2020
Journal Name
Journal Of Engineering
Arabic Sentiment Analysis (ASA) Using Deep Learning Approach
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Sentiment analysis is one of the major fields in natural language processing whose main task is to extract sentiments, opinions, attitudes, and emotions from a subjective text. And for its importance in decision making and in people's trust with reviews on web sites, there are many academic researches to address sentiment analysis problems. Deep Learning (DL) is a powerful Machine Learning (ML) technique that has emerged with its ability of feature representation and differentiating data, leading to state-of-the-art prediction results. In recent years, DL has been widely used in sentiment analysis, however, there is scarce in its implementation in the Arabic language field. Most of the previous researches address other l

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Publication Date
Sun Jan 16 2011
Journal Name
Bayt Alhekma
formations of abstract nouns from groups of goagols
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Abstract The study aimed at reviewing translation theories proposed to address problems in translation studies. To the end, translation theories and their applications were reviewed in different studies with a focus on issues such as critical discourse analysis, cultural specific items and collocation translation.

Publication Date
Wed Jan 17 2024
Journal Name
مجلة كلية بغداد للعلوم الاقتصادية الجامعة
استعمال التحليل الهرمي لتطبيق بطاقة الأداء المتوازن في تقييم الأداء الاستراتيجي للهيئة العامة للأثار والتراث - دراسة تطبيقية
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هدف هذا البحث الى استعمال الأسلوب الرياضي أسلوب التحليل الهرمي وتطبيقه وفق ابعاد بطاقة الاداء المتوازن في تقييم الأداء الاستراتيجي في الهيئة العامة للأثار والتراث، وتمثلت أدوات البحث باستعمال استمارات التحليل الهرمي وطبقت على معايير بطاقة الأداء المتوازن المتمثلة في (المالي، الزبائن، العمليات الداخلية، والتعلم والنمو)، وتم استهداف عينة قصدية متمثلة في رئيس الهيئة والمدراء العامون بعض من مدراء الأقسام ال

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Publication Date
Sat Nov 10 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
Effect of Long Term Exposure to Sodium Nitrite on Gene Responsible for DNA Repair
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Objective: The aim of this study is to detect the effect of continuous exposure to Sodium Nitrite on 8-oxoguanine
DNA glycosylase (OGG1) gene which responsible on DNA repairs. DNA repair play a major role in maintaining
genomic stability when DNA exposure to damage. Genomic stability is very important for keeping body cells
healthy and to prevent many types of tumor development. Many genes are responsible for this job; one of them is
OGG1 gene.
Methodology: In current study two groups of mice were chronically exposed to sodium nitrite for six months and
eighteen months while third group was used as a control. Then sizes of OGG1 were estimated.
Results: The results exhibited in the unexposed (control) mice had two dif

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Publication Date
Tue Jun 01 2010
Journal Name
Al-khwarizmi Engineering Journal
Land Use/Cover Change Analysis Using Remote Sensing Data: A Case Study, Zhengzhou Area, Henan Province, China
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In the last two decades, arid and semi-arid regions of China suffered rapid changes in the Land Use/Cover Change (LUCC) due to increasing demand on food, resulting from growing population. In the process of this study, we established the land use/cover classification in addition to remote sensing characteristics. This was done by analysis of the dynamics of (LUCC) in Zhengzhou area for the period 1988-2006. Interpretation of a laminar extraction technique was implied in the identification of typical attributes of land use/cover types. A prominent result of the study indicates a gradual development in urbanization giving a gradual reduction in crop field area, due to the progressive economy in Zhengzhou. The results also reflect degradati

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