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Isolation and Identification of Flavonoid Compounds from Euphorbia Milii Plant Cultivated in Iraq and Evaluation of its Genetic Effects on Two Types of Cancer Cell Line
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يعتبر "تاج الأشواك" أو نبات شوكة المسيح، وهو من نباتات الزينة الطبية ، ينتمي إلى جنس يوفوربيا. E. milii يحتوي كميات وفيرة من المركبات الفينولية ، التربينات، الستيرويدات والقلويدات. كانت الأهداف الرئيسية لهذه الدراسة هي فحص مستخلصات الفلافونويد والنانو فلافونويد ضد نوعين من خطوط الخلايا السرطانية. تم تصنيع مركبات الفلافونويد النانوية عن طريق تفاعل مركب الكيتوسان والماليك اسد. تم تحليل مركبات الفلافونويد النانوية بواسطة مقياس الطيف الضوئي UV-sp -8001 بطول موجي 200-1000 نانومتر ، تم استخدام المجهر الإلكتروني (TEM) والمجهري الإلكتروني الماسح(SEM) لتحديد الخصائص المورفولوجية لمركبات الفلافونويد النانوية. يعتبر الفلافونويد والنانوفلافونويدعقار قوي ومتطور ضد خلايا سرطان الثدي (MCF-7) وخلايا سرطان البروستات(PC3) . تم فحص الفعالية المضادة للسرطان من مركبات الفلافونويد والنانوفلافونويد على خطين مختلفين من الخلايا السرطانية وكذلك خطوط الخلايا السليمة باستخدام اختبار MTT. تم استخدام تجزئة الحمض النووي وتقنية تلوين الخلايا بالصبغة المزدوجة AO / EtBr  لفحص علامات موت الخلايا المبرمج. لتحديد تشتت دورة الخلية ، تم استخدام قياس التدفق الخلوي ، وأظهرت النتائج  أن كميات الفلافونويد والنانوفلافونويد لها نشاطا ساما وفعالا ضد خطوط خلايا سرطان الثدي والبروستات. بالإضافة إلى ذلك ، تم ربط إيقاف دورة الخلية في مرحلة G0 / G1 بموت الخلايا المبرمج لخطوط الخلايا التي يسببها الفلافونويد والنانوفلافونويد. وفقًا لهذه النتائج ، تمنع مركبات الفلافونويد والنانوفلافونويد من تكاثر خطوط الخلايا السرطانية ، مما يؤدي إلى توقف دورة الخلية وتحفيز موت الخلايا المبرمج. تشير النتائج المتاحة إلى أن مركب الفلافونويد والنانوفلافونويد سيمثل نهجًا علاجيًا واعدًا لعلاج الخلايا السرطانية من الأنواع الأخرى.

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Publication Date
Thu Dec 01 2022
Journal Name
Baghdad Science Journal
Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network
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With its rapid spread, the coronavirus infection shocked the world and had a huge effect on billions of peoples' lives. The problem is to find a safe method to diagnose the infections with fewer casualties. It has been shown that X-Ray images are an important method for the identification, quantification, and monitoring of diseases. Deep learning algorithms can be utilized to help analyze potentially huge numbers of X-Ray examinations. This research conducted a retrospective multi-test analysis system to detect suspicious COVID-19 performance, and use of chest X-Ray features to assess the progress of the illness in each patient, resulting in a "corona score." where the results were satisfactory compared to the benchmarked techniques.  T

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Publication Date
Sun Jan 01 2023
Journal Name
Organization, Technology And Management In Construction: An International Journal
Using the ordinal priority approach for selecting the contractor in construction projects
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Abstract<p>Effective decision-making process is the basis for successfully solving any engineering problem. Many decisions taken in the construction projects differ in their nature due to the complex nature of the construction projects. One of the most crucial decisions that might result in numerous issues over the course of a construction project is the selection of the contractor. This study aims to use the ordinal priority approach (OPA) for the contractor selection process in the construction industry. The proposed model involves two computer programs; the first of these will be used to evaluate the decision-makers/experts in the construction projects, while the second will be used to formul</p> ... Show More
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Publication Date
Sat Jan 01 2022
Journal Name
Communications In Mathematical Biology And Neuroscience
Chaos in the three-species Sokol-Howell food chain system with fear
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Publication Date
Sun Jan 01 2023
Journal Name
8th Engineering And 2nd International Conference For College Of Engineering – University Of Baghdad: Coec8-2021 Proceedings
Sentiment analysis in arabic language using machine learning: Iraqi dialect case study
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Publication Date
Wed Dec 01 2021
Journal Name
Baghdad Science Journal
Using Fuzzy Clustering to Detect the Tumor Area in Stomach Medical Images
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Although the number of stomach tumor patients reduced obviously during last decades in western countries, but this illness is still one of the main causes of death in developing countries. The aim of this research is to detect the area of a tumor in a stomach images based on fuzzy clustering. The proposed methodology consists of three stages. The stomach images are divided into four quarters and then features elicited from each quarter in the first stage by utilizing seven moments invariant. Fuzzy C-Mean clustering (FCM) was employed in the second stage for each quarter to collect the features of each quarter into clusters. Manhattan distance was calculated in the third stage among all clusters' centers in all quarters to disclosure of t

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Publication Date
Sun Oct 01 2023
Journal Name
Optical Fiber Technology
A taper-in-etch based hybrid fiber Mach-Zehnder interferometer hydrogen sensor
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Publication Date
Wed Jan 01 2020
Journal Name
Journal Of King Saud University - Science
Three iterative methods for solving second order nonlinear ODEs arising in physics
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Publication Date
Thu Feb 25 2021
Journal Name
Iraqi Journal Of Agricultural Sciences
ROSEMARY VOLATILE OIL AS A PRESERVATIVE AGENT IN SOME CANNED MEAT FOODS
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This research was aimed to evaluate activity of Rosemary volatile oil and Nisin A in vivo and on B. cereus isolated from some canned meat products in vitro. The results showed that the activity of Rosemary volatile oil (2000 µg/ml) and Nisin A (350 µg\ml) attained to 27 and 19 mm inhibitory zone diameter respectively in well diffusion method. The viable plate count from samples of canned meat treated with effective concentration of Rosemary volatile oil and Nisin A were examined. The samples with Rosemary volatile oil was not showed any CFU/g after 9 days of preservation while sample with Nisin A and control observed 49 and 45 CFU/g respectively. In vivo experiment on mice, two weeks after oral dose of Rosemary volatile oil (2000

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Publication Date
Mon May 12 2025
Journal Name
The International Journal Of The History Of Sport
Exploring Sport’s Role in Mitigating Conflicts Gulf Cup as a Case Study
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Conflict, peace, and sports have a long history as practical realities, and their correlation has become an important subject of study in the last decades of the twentieth century. Sport has infiltrated peace and conflict studies as a tool for resolving conflict and building peace, but opinions have differed between those who say it is a positive tool and others who see it as negative. The Gulf Cup is one of the champions that have never been studied, and in-depth research about it has not been done. This tournament has affected the relations between the states involved. The politics cast its shadow on the Gulf Cup. The paper aims to shed light on how political events in the region have consistently affected the Gulf Cup and how politics in

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Publication Date
Tue Apr 29 2025
Journal Name
Emile Dickinson Collection
Dominican Roots in Julia Alvarez’s How the Garcia Girls Lost Their Accents
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The study examines Julia Alvarez's role as a Dominican American author, poet, and essayist. Despite being born in New York City in 1950, she was raised in the Dominican Republic by a family with Dominican heritage. Her residence in her ancestral homeland significantly influenced her subsequent literary works. Upon her father's implication in a conspiracy against Dominican President, he departed from the Dominican Republic. Alvarez encountered the challenge of the English language. They were compelled to acquire proficiency in English due to the prevailing perception that anyone who spoke a language other than English were deemed "un-American" during that period. Alvarez recounted her initial encounters in the United States and the subseque

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