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Immunohistochemical expression of P16 and HER2/neu in normal oral mucosa, oral epithelial dysplasia, and oral squamous cell carcinoma
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Background: Oncogenesis in the oral cavity is widely believed to result from cumulative genetic alterations that cause a transformation of the mucosa from normal to dysplastic to invasive carcinoma. The p16 gene produces p16 protein, which in turn inhibits phosphorylation of retinoblastoma (Rb), p16 play a significant role in early carcinogenesis. A number of epidermal growth factor receptor (EGFR) family, HER2/neu, has received much attention because of its therapeutic implications. The aims of the study were to evaluate and compare the immunohistochemical expression of the cell cycle protein P16 INK4a and c-erbB2 (HER2/neu) in NOM, OED, and OSCC. Correlate both marker expression with each other as well as with various clinicopathological findings. Materials and methods: Sixty two formalin-fixed, paraffin embedded tissue blocks (20 cases of normal oral mucosa, 17 cases of oral epithelial dysplasia, and 25 cases of oral squamous cell carcinoma) were included in this study, an immunohistochemical staining was performed using anti p16 monoclonal antibody, and anti HER2/neu polyclonal antibody. Results: Positive IHC expression of p16 was found in 18 cases (90%) of NOM, 16 cases (94.1%) of OED and in 20 cases (80%) of OSCC. Positive IHC expression of HER2/neu was almost undetectable in NOM, while it was found in 9 cases (52.9%) of OED, and in 15 cases (60%) of OSCC.The correlation between the expression of both markers were statistically highly significant in NOM, significant in OED, and non significant in OSCC. Conclusions: This study signify the important role of p16 and HER2/neu in oral carcinogenesis and in the evolution of the mucosa from normal to dysplastic to invasive carcinoma

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Publication Date
Sun Nov 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Face Recognition and Emotion Recognition from Facial Expression Using Deep Learning Neural Network
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Abstract<p>Face recognition, emotion recognition represent the important bases for the human machine interaction. To recognize the person’s emotion and face, different algorithms are developed and tested. In this paper, an enhancement face and emotion recognition algorithm is implemented based on deep learning neural networks. Universal database and personal image had been used to test the proposed algorithm. Python language programming had been used to implement the proposed algorithm.</p>
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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Advanced Pharmaceutical Technology &amp; Research
Hesperetin effect on MLH1 and MSH2 expression on breast cancer cells BT-549
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Publication Date
Mon Jan 01 2024
Journal Name
Pakistan Journal Of Life And Social Sciences (pjlss)
Antibacterial and Antibiofilm Activity of Phenolic Compounds Extracted From Camellia Sinensis And Evaluate The Effect On The Gene Expression (Clfa) In Staphylococcus Aureus
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Publication Date
Fri Jul 21 2023
Journal Name
Journal Of Engineering
Implementation of Digital Image processing in Calculating Normal Approach for Spherical Indenter Considering Elastic/Plastic Contact
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In this work a study and calculation of the normal approach between two bodies,
spherical and rough flat surface, had been conducted by the aid of image processing
technique. Four kinds of metals of different work hardening index had been used as a
surface specimens and by capturing images of resolution of 0.006565 mm/pixel a good estimate of the normal approach may be obtained the compression tests had been done in strength of material laboratory in mechanical engineering department, a Monsanto tensometer had been used to conduct the indentation tests. A light section measuring equipment microscope BK 70x50 was used to calculate the surface parameters of the texture profile like standard deviation of asperity peak heights

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Publication Date
Thu Sep 19 2024
Journal Name
Developmental Dynamics
Stage‐by‐stage exploration of normal embryonic development in the Arabian killifish, <i>Aphanius dispar</i>
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Abstract<sec><title>Background

Arabian killifish, Aphanius dispar, lives in marine coastal areas of the Middle East, as well as in streams that experience a wide range of salinities and temperatures. It has been used as a mosquito control agent and for studying the toxicities of environmental pollutants. A. dispar's eggshell (chorion) and embryos are highly transparent and are suitable for high resolution microscopic observations, offering excellent visibility of live tissues.

Results

In this study, the staging of normal embryonic development of A. dispar

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Publication Date
Thu May 18 2023
Journal Name
Journal Of Engineering
Implementation of Digital Image processing in Calculating Normal Approach for Spherical Indenter Considering Elastic/Plastic Contact
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In this work a study and calculation of the normal approach between two bodies, spherical and rough flat surface, had been conducted by the aid of image processing technique. Four kinds of metals of different work hardening index had been used as a surface specimens and by capturing images of resolution of 0.006565 mm/pixel a good estimate of the normal approach may be obtained the compression tests had been done in strength of material laboratory in mechanical engineering department, a Monsanto tensometer had been used to conduct the indentation tests.
A light section measuring equipment microscope BK 70x50 was used to calculate the surface parameters of the texture profile like standard deviation of asperity peak heights, centre lin

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Publication Date
Sat Jun 30 2012
Journal Name
Al-kindy College Medical Journal
VCAM-1 Expression in Endometerium with Human Cytomegalovirus Infection
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Background: To elucidate the possible role of human cytomegalovirus in pregnancy loss through induction of certain pro-inflammatory adhesion molecules.
Methods: Paraffin embedded sections of curate samples were obtained from 34 women had spontaneous abortion, and 5 women had elective termination of pregnancy (as control), and then subjected for immunohistochemistry analysis to detect human cytomegalovirus (HCMV) early protein and VCAM-1 molecule.
Results: Nine out of 34 women with spontaneous abortion were positive for HCMV early protein, with a
significantly higher expression of VCAM-1 in HCMV positive cases as compared with HCMV negative and the control groups (p = 0.05, 0.001 respectively).
Conclusion: HCMV infection may p

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Publication Date
Fri Dec 01 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
Influence of Water Stress on Expression of the X95950 Gene and Several Cellular Callus Components in Violet-Treated Sunflower Varieties
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Abstract<p>The research was conducted between 2017 and 2019 at the College of Agricultural Engineering Sciences and Laboratory of Plant Tissue Culture for Postgraduate Studies at the University of Baghdad. One experiment used a totally random design. The experiment examined the effects of PEG (Polyethylene glycol) at concentrations of 0, 2, 4, 6, and 8% on the development of three sunflower types (Ishaqi<sup>-1</sup>, Aqmar, and AL-Haja) exposed to UV-C rays for 40 minutes as a result of the growing of the juvenile peduncle outside the live body. The aim of the study was to better comprehend the physiological and biochemical changes caused by water stress on the callus of several sunfl</p> ... Show More
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Publication Date
Sun Jul 06 2014
Journal Name
Journal Of Educational And Psychological Researches
Asocaial acceptance to ward slow learnes by their normal peers
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هدفت الدراسة الحالية الى التعرف ما اذا كان هناك تقبل اجتماعي للتلاميذ بطيئي من قبل اقرانهم العاديين؟ وكذلك معرفة ما اذا كان هناك فروق ذات دلالة في التقبل الاجتماعي بين افراد عينة الدراسة على وفق المتغيرات الاتية:

أ- العمر (9-13)

ب- الجنس (ذكور –اناث)

ج- المرحلة الدراسية

د- الحالة الاقتصادية (جيدة –متوسطة –جيدة جدا)

    ولغرض تحقيق اه

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Publication Date
Sun Oct 01 2023
Journal Name
Asian Pacific Journal Of Cancer Prevention
Immunohistochemical study of the expressed cluster differentiation markers proteins type 20 and 56 in breast tissues from a group of Iraqi patients with breast cancers
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