Neuroendocrine differentiation has been mentioned in many cancers of non-neuroendocrinal organs, involving the gastrointestinal tract. In contrast, the correlation of focally diffused neuroendocrine differentiation in colorectal adenocarcinoma with neuroendocrine cell hyperplasia has not been somewhat reported. The objective of this research is to study the relationship between neuroendocrine cell hyperplasia and neuroendocrine differentiation in colorectal adenocarcinoma and to find the correlation of neuroendocrine differentiation and VEGF expression with clinicopathological parameters of colorectal adenocarcinoma. Methods employed in the current study were including eighty-one patients with colorectal cancer. Formalin fixed paraffin e

The Log-Logistic distribution is one of the important statistical distributions as it can be applied in many fields and biological experiments and other experiments, and its importance comes from the importance of determining the survival function of those experiments. The research will be summarized in making a comparison between the method of maximum likelihood and the method of least squares and the method of weighted least squares to estimate the parameters and survival function of the log-logistic distribution using the comparison criteria MSE, MAPE, IMSE, and this research was applied to real data for breast cancer patients. The results showed that the method of Maximum likelihood best in the case of estimating the paramete

The research aims to recognize the impact of the training program based on integrating future thinking skills and classroom interaction patterns for mathematics teachers and providing their students with creative solution skills. To achieve the goal of the research, the following hypothesis was formulated: There is no statistically significant difference at the level (0.05) between the mean scores of students of mathematics teachers whose teachers trained according to the proposed training program (the experimental group) and whose teachers were not trained according to the proposed training program (the control group) in Pre-post creative solution skills test. Research sample is consisted of (31) teachers and schools were distribut

The current research is a spectroscopic study of Coumarin 334 dissolved in methanol. The range of concentrations of the prepared stock solution was (3.39x10^-9 to 2.03x10^-8) M. Some optical characteristics of this dye were investigated such as absorbance and transmission spectra, absorption coefficient, refractive and extinction coefficients, oscillation and dispersion energies, and energy band gap. The absorbance spectra were recorded at 452 nm using Broad Band Cavity Enhanced Absorption Spectroscopy (BBCEAS) which depends on increasing the path length of the traveling light from the source to the detector. The minimum absorbance amount was 0.07 with a low concentration of 3.39x10^-9 M. As a result, the ot

This study discussed the importance of studying political thought and its stages of development

اهمية البحث والحاجة اليه

      لم تعد التربية في الوقت الحاضر اعتباطا وتخبطا ، أنها علم وفن ، نظر وعمل ، اجتهاد وتطبيق ، اختصاص وابتكار والمربي ، أبا ، إما أو معلما أو زعيما أو مصلحا اجتماعيا ، أصبح بحاجة ماسة للاطلاع على التربية وفكرها التربوي والتعمق في أساليبها ووسائلها ( عاقل ، 1978 ،ص 3 ) .

    إن بناء المجتمع أو التربية ،لايمكن إن يكون لهوا ولعبا ، والحق إن بن

تعد دراسة الفكر السياسي للسيد محمد بحر العلوم، تناولاً لشخصية إسلامية علمية واجتماعية وسياسية معتدلة، ينتمي إلى أسرة علوية حسنية لها من التراث الديني والعلمي والفكري والاجتماعي ما يشهد له التأريخ، فضلاً عن الإسهامات الوطنية والسياسية في تاريخ العراق المعاصر، وبسبب السياسات الخاطئة لتلك الأنظمة الدكتاتورية، وموقف تلك العائلة المناهض لها فقد كانت النتيجة أن قدمت كوكبة من خيرة علمائها وشبابها.

 

    The combination of wavelet theory and neural networks has lead to the development of wavelet networks. Wavelet networks are feed-forward neural networks using wavelets as activation function. Wavelets networks have been used in classification and identification problems with some success.

  In this work we proposed a fuzzy wavenet network (FWN), which learns by common back-propagation algorithm to classify medical images. The library of medical image has been analyzed, first. Second, Two experimental tables’ rules provide an excellent opportunity to test the ability of fuzzy wavenet network due to the high level of information variability often experienced with this type of images.

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