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The Correlation of P53 and MSI Immune Markers in Gastric Adenocarcinoma
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العلاقة بين تعبير المعلمات المناعية ل (P53) وعدم استقرار الساتل الميكروي  (MSI) مع العوامل السريرية المرضية لسرطان المعدة الغدي باستخدام الكيمياء النسيجية المناعية. الخلاصة الخلفية: يحدث سرطان المعدة الغدي بسبب عدم استقرار الكروموسومات، وطفرات TP53، واختلال الصيغة الصبغية، والانتقالات، والجينات الورمية الأولية، والتغيرات الجينية المثبطة للورم.عدم استقرار الساتل الميكروي(MSI)  يسبب فشل إصلاح عدم تطابق الحمض النووي، مما يؤثر على دقة تكرار الحمض النووي. يم الكشف عن أخطاء النسخ المتماثل المبكرة بواسطة مجمع البروتين المتغاير  (hMSH2/hMSH6) ، الذي يقوم بتفعيل hMLH1) و(hPMS2  لإعادة تكوين الحمض النووي. يحدث عدم استقرار الساتل الميكروي في حالات سرطان المعدة المتفرق ومتلازمة لينش. الهدف من الدراسة: دراسة العلاقة بين تعبيرالمعلم P53 وتعبير المعلمات المناعية لـعدم استقرار الساتل الميكروي (MSI) مع العوامل السريرية المرضية لسرطان المعدة الغدي باستخدام الكيمياء النسيجية المناعية. المواد والطرق: تم فحص 40 كتلة من نسيج سرطان المعدة الغدي المثبت بالفورمالين والمطمور بالشمع في بغداد، العراق. تناولت الدراسة حالات سرطان المعدة الأولية، مع البيانات السريرية المرضية المتاحة، والأنسجة الجراحية. التعبير المناعي الكيميائي الذي تم تقييمه بواسطة نظام تسجيل النقاط. تم استخدام برنامج SPSS لتحليل البيانات، كما تم استخدام اختبارات Chi-square واختبارات Fisher الدقيقة لتقييم الارتباطات. تم اعتبار مستوى الثقة 95٪ والقيمة الاحتمالية P 0.05 أو أقل مهمًا. النتائج : كان التصبيغ المناعي النسيجي الكيميائي لـ P53 إيجابيًا في 65٪ من الحالات، بينما كانت نتائج MSI إيجابية في 97.5٪ من الحالات. حصل الزوجان المتغايران MLH1/PMS2 على نتائج إيجابية بنسبة 32.5% ونتائج سلبية 67.5%، في حين حصل الزوجان المتغايران MSH2/MSH6 على نتائج إيجابية بنسبة 87.5% ونتائج سلبية 12.5%. ارتبطت صبغة P53 بشكل كبير بانتشار العقدة الليمفاوية  ودرجة الورم ، ولكن لم يكن هنالك ارتباط مع العوامل الأخرى. لم يتم العثور على ارتباط كبير بين معلمات MSI والعوامل المدروسة,لم يكن هناك ارتباط كبير بين معلمات MSI غير المتجانسة (MLH1 / PMS2) والمعلمات المرضية السريرية، ولكن كان هناك ارتباط كبير بين علامات MSI الزوجين غير المتجانسة (MSH2 / MSH6) والنقائل فقط . الاستنتاج: : يعد P53 معلما حيويا مهما لتقييم انتشار العقدة الليمفاوية  وعدوانيتها في التصنيف النسيجي، مما يشير إلى التشخيص، وتحديد مرضى السرطان الأكثر عرضة لخطر الإصابة بالورم النقيلي. على الرغم من أن MSH2/MSH6  اظهر ارتباطا مهمًا مع النقائل الورمية ، إلا أن معلمات MSI كان لها أقل قيمة إنذارية في دراستنا. هناك حاجة إلى مزيد من البحث لإثبات فعاليتها في علاج سرطان المعدة.

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Publication Date
Mon Jan 01 2018
Journal Name
Portugaliae Electrochimica Acta
A Kinetic Study of Oxalic Acid Electrochemical Oxidation on a Manganese Dioxide Rotating Cylinder Anode
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Publication Date
Sat Sep 30 2017
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Spatial Data Analysis for Geostatistical Modeling of Petrophysical Properties for Mishrif Formaiton, Nasiriya Oil Field
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Spatial data analysis is performed in order to remove the skewness, a measure of the asymmetry of the probablitiy distribution. It also improve the normality, a key concept of statistics from the concept of normal distribution “bell shape”, of the properties like improving the normality porosity, permeability and saturation which can be are visualized by using histograms. Three steps of spatial analysis are involved here; exploratory data analysis, variogram analysis and finally distributing the properties by using geostatistical algorithms for the properties. Mishrif Formation (unit MB1) in Nasiriya Oil Field was chosen to analyze and model the data for the first eight wells. The field is an anticline structure with northwest- south

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Publication Date
Tue Nov 09 2021
Journal Name
Abu Dhabi International Petroleum Exhibition & Conference
Numerical Simulation of Gas Lift Optimization Using Artificial Intelligence for a Middle Eastern Oil Field
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Abstract<p>Artificial lift techniques are a highly effective solution to aid the deterioration of the production especially for mature oil fields, gas lift is one of the oldest and most applied artificial lift methods especially for large oil fields, the gas that is required for injection is quite scarce and expensive resource, optimally allocating the injection rate in each well is a high importance task and not easily applicable. Conventional methods faced some major problems in solving this problem in a network with large number of wells, multi-constrains, multi-objectives, and limited amount of gas. This paper focuses on utilizing the Genetic Algorithm (GA) as a gas lift optimization algorit</p> ... Show More
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Publication Date
Sun Mar 17 2019
Journal Name
Baghdad Science Journal
Faber Polynomial Coefficient Estimates for Subclass of Analytic Bi-Bazilevic Functions Defined by Differential Operator
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In this work,  an explicit formula for a class of Bi-Bazilevic univalent functions involving differential operator is given, as well as the determination of upper bounds for the general Taylor-Maclaurin coefficient of a functions belong to this class, are established Faber polynomials are used as a coordinated system to study the geometry of the manifold of coefficients for these functions. Also determining bounds for the first two coefficients of such functions.

         In certain cases, our initial estimates improve some of the coefficient bounds and link them to earlier thoughtful results that are published earlier.

 

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Publication Date
Tue Dec 05 2017
Journal Name
International Journal Of Science And Research (ijsr)
Multi Response Optimization of Submerged Arc Welding Using Taguchi Fuzzy Logic Based on Utility Theory
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Publication Date
Sat Jan 01 2022
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science (ijeecs)
Increasing validation accuracy of a face mask detection by new deep learning model-based classification
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During COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve

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Publication Date
Sat Feb 09 2019
Journal Name
Journal Of The College Of Education For Women
Optical Design of Laser Zoom Beam Expander at near & far Ranges for Tracked Atmospheric Target
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In this research, beam expander, BEX, is explained and designed for illuminating the
remote flying target. The BEX is optically designed to be suited for Nd:YAG laser of given
specifications. The BEX is modified to be zoom one to meet the conditions of preventing the
receiving unit; i.e the photodetector, from getting saturated at near and far laser tracking.
Decollimation could be achieved by automatic motor, which controls zoom lens of the BEX
according to the required expansion ratio of beam expander

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Publication Date
Mon Aug 16 2021
Journal Name
Indian Journal Of Forensic Medicine &amp; Toxicology
Evaluation of Implant Stability Following Sinus Augmentation Utilizing Bovine Bone Mixed with Platelet-Rich Fibrin
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Background: Lateral sinus augmentation and simultaneous insertion of dental implants is a highlypredictable procedure and associated with high rate of implants success.Aims: To evaluate implant stability changes following maxillary sinus augmentation utilizing deproteinizedbovine bone alone or mixed with platelet-rich fibrin.Materials and Methods: A total of 34 lateral sinus augmentation procedures were performed and 50 dentalimplants simultaneously installed. The lateral sinus augmentation cases were allocated randomly into 3groups: Group A comprised 13 procedures and 21 dental implants utilizing solely deproteinized bovine bone.Group B involved 10 cases and 16 dental implants using deproteinized bovine bone mixed with leukocyteand

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Publication Date
Sun Mar 07 2010
Journal Name
Baghdad Science Journal
Molecular diagnosis of E.coliO157:H7 Which Isolated from Children with Diarrhea by using Multiplex PCR
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A total of 96 stool samples were collected from children with bloody diarrhea from two hospitals in Baghdad. All samples were surveyed and examined for the presence of the Escherichia coli O157:H7 and differentiate it from other Non -Sorbitol Fermenting Escherichia coli (NSF E. coli). The Bacterial isolates were identifed by using morphological diagnostic methods, Samples were cultured on liquid enrichment medium, incubated at 37C? for 24 hrs, and then cultured on Cefixime Tellurite -Sorbitol MacConkey Agar (CT- SMAC). 32 non-sorbitol fermenting bacterial isolates were obtained of which 11 were identified as Escherichia coli by using traditional biochemical tests and API20E diagnostic system without differentiation between

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Publication Date
Fri Sep 30 2011
Journal Name
Al-khwarizmi Engineering Journal
Steady State Performance Investigation of a Three Phase Induction Motor Running Off Unbalanced Supply Voltages
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The objective of this work is to investigate the performance of a conventional three phase induction motor supplied by unbalanced voltages. An effort to study the motor steady state performance under this disturbance is introduced. Using per phase equivalent circuit analysis with the concept of symmetrical components approach, the steady state performance is theoretically calculated. Also, a model for the induction motor with the MATLAB/Simulink SPS tools has been implemented and steady state results were obtained. Both results are compared and show good correlation as well. The simulation model is introduced to support and enhance electrical engineers with a complete understanding for the steady state performance of a fully loaded induc

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