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Use of immunohistochemistry and silver in situ hybridization (Sish) in evaluation of human epidermal growth factor receptor2 (HER2/neu) status in Iraqi patients with breast cancer
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Breast cancer is the commonest cause of cancer related death in women worldwide. Amplification or over-expression of the ERBB2 (HER/neu) gene occurs in approximately 15-30% of breast cancer cases and it is strongly associated with an increased disease recurrence and a poor prognosis. Determination of HER2/neu status is crucial in the treatment plan as that positive cases will respond to trastuzumab therapy. It has been used to test for HER2/neu by immunohistochemistry as a first step and then to study only the equivocal positive cases (score 2+) by in situ hybridization technique. The aim of our study is to compare between immunohistochemistry and silver in situ hybridization (SISH) in assessment of human epidermal growth factor (HER2/neu) receptors status among breast cancer patients. A cross-sectional study was conducted at The Medical City in Baghdad, from October 2016 to April 2017, where formalin fixed, paraffin embedded tumor tissue from 52 female patients (aged 33 to 71 years) with the diagnosis of breast cancer have been included in this study for the evaluation of human epidermal growth factor (HER2/neu) protein overexpression and gene amplification by immunohistochemistry and silver in situ hybridization (SISH) method respectively. Base line data about patients were obtained from their hospital records. The distribution of human epidermal growth factor (HER2/neu) protein overexpression by immunohistochemistry showed that the (+2) score/equivocally positive were seen in 24 cases, which comprise the largest number of cases in this study (46.15%). Ten cases (19.23%) for each of scores 0/negative and +1/negative were present, while (+3) score/positive was the smallest group with only 8 cases (15.38% of cases). All results of SISH were negative in the category of (0 score/negative). In the contrary, all the 8 cases in (+3 score/positive) category were showing positive SISH results. Category (+1 score/negative) HER2 showed two cases (20%) with a positive SISH result, while that of (+2 score/equivocal positive) showed 8 positive cases (about 33.33%). For the detection of HER2/neu protein overexpression and gene amplification, immunohistochemistry (IHC) and in-situ hybridization (ISH) are the recommended techniques, with high concordance between the two techniques, however; performance of silver in situ hybridization in assessment of HER2/neu gene status in all cases of invasive breast carcinoma is recommended as significant number of negative cases by immunohistochemistry showed positive amplification by in situ hybridization and can be treated with anti-HER2 targeted treatments.

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Publication Date
Tue May 04 2021
Journal Name
Journal Of Tribology
Hardened Edges Effects on Wear Characteristics of Cultivator Sweeps Using Circular Soil Bin Test
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Abstract<p>Tillage tools are subject to friction and low-stress abrasive wear processes with the potential deterioration of the desired soil quality, loss of mechanical weed efficacy, and downtime for replacing worn tools. Limited experimental methods exist to quantify investigate the effect of wear-resistant coatings on shape parameters of soil-engaging tools. ASTM standard sand/rubber wheel abrasion and pin-on-disk tests are not able to simulate wear characteristics of the complex shape of the tillage tools. Even though the tribology of tillage tools can be realistic from field tests, tillage wear tests under field conditions are expensive and often challenging to generate repeatable engineeri</p> ... Show More
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Publication Date
Sun Jun 20 2021
Journal Name
Baghdad Science Journal
Future Scenario of Global Climate Map change according to the Köppen -Geiger Climate Classification
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Earth’s climate changes rapidly due to the increases in human demands and rapid economic growth. These changes will affect the entire biosphere, mostly in negative ways. Predicting future changes will put us in a better position to minimize their catastrophic effects and to understand how humans can cope with the new changes beforehand. In this research, previous global climate data set observations from 1961-1990 have been used to predict the future climate change scenario for 2010-2039. The data were processed with Idrisi Andes software and the final Köppen-Geiger map was created with ArcGIS software. Based on Köppen climate classification, it was found that areas of Equator, Arid Steppes, and Snow will decrease by 3.9 %, 2.96%, an

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Publication Date
Wed Jan 01 2020
Journal Name
Medico-legal Update
Flexible ureterorenoscopy versus extracorporeal shock wave lithotripsy for treatment of lower pole renal stones
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Publication Date
Sat Apr 25 2020
Journal Name
Asian Journal Of Agriculture And Biology
Biodegradation of plastic wastes by confused flour beetle Tribolium confusum Jacquelin du Val larvae
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Publication Date
Wed Apr 01 2015
Journal Name
Mathematical Methods In The Applied Sciences
An inverse problem of finding the time-dependent diffusion coefficient from an integral condition
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Publication Date
Sun Oct 01 2017
Journal Name
Ieee Transactions On Neural Systems And Rehabilitation Engineering
A Framework of Temporal-Spatial Descriptors-Based Feature Extraction for Improved Myoelectric Pattern Recognition
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Publication Date
Wed Mar 29 2023
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Experimental Study to Investigate the Effect of Polyacrylamide Gel to Reduce the Lost Circulation
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One of the challenging issues encountered during drilling operations is the lost circulation. Numerous issues might arise because of losses, such as wasting of time and higher drilling cost. Several types of lost circulation materials have been developed and are being used to limit mud losses and avoid associated issues. Each solution has benefits and drawbacks.

In this study, a core flooding test was performed to study the effectiveness of polyacrylamide (PAM) granular gel on the reduction of the circulation lost. One common type of fracture characteristic is fractures with tips, commonly known as partially open fracture (POF). However, PAM gel therapy in POFs received little attention in prior research. Models of partly open fra

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Publication Date
Wed Jul 17 2019
Journal Name
Aip Conference Proceedings
Annealing effect on characterization of nano crystalline SnSe thin films prepared by thermal evaporation
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Tin Selenide (SnSe) Nano crystalline thin films of thickness 400±20 nm were deposited on glass substrate by thermal evaporation technique at R.T under a vacuum of ∼ 2 × 10− 5 mbar to study the effect of annealing temperatures (as-deposited, 100, 150 and 200) °C on its structural, surface morphology and optical properties. The films structure was characterized using X-ray diffraction (XRD) which showed that all the films have polycrystalline in nature and orthorhombic structure, with the preferred orientation along the (111) plane. These films was synthesized of very fine crystallites size of (14.8-24.5) nm, the effect of annealing temperatures on the cell parameters, crystallite size and dislocation density were observed.

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Publication Date
Sat Mar 26 2016
Journal Name
Journal Of Materials Science: Materials In Electronics
Hydrothermal deposition of CdS on vertically aligned ZnO nanorods for photoelectrochemical solar cell application
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Publication Date
Mon May 06 2024
Journal Name
Journal Of Ecological Engineering
Using Machine Learning Algorithms to Predict the Sweetness of Bananas at Different Drying Times
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The consumption of dried bananas has increased because they contain essential nutrients. In order to preserve bananas for a longer period, a drying process is carried out, which makes them a light snack that does not spoil quickly. On the other hand, machine learning algorithms can be used to predict the sweetness of dried bananas. The article aimed to study the effect of different drying times (6, 8, and 10 hours) using an air dryer on some physical and chemical characteristics of bananas, including CIE-L*a*b, water content, carbohydrates, and sweetness. Also predicting the sweetness of dried bananas based on the CIE-L*a*b ratios using machine learn- ing algorithms RF, SVM, LDA, KNN, and CART. The results showed that increasing the drying

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