The aim of this study was toward the possibility of producing antigen that has the ability to stimulate the immune response against the infection with the hydatid cyst. To do so antigens were extracted from sheep hydatid cyst fluid of Echinococcus granulosus .These were: 1- The hydatid cyst fluid called antigen B. 2- Excretion-secretion called ES antigen. 3-B/ES antigen is a mixture (1:1) of the above two antigens. Three concentrations (15, 30 and 60 µg/ml) from antigen B/ES were prepared to immunize the white mice (males) with 20 µg/gr body weight and one booster dose (10 µg/gr) to stimulate immunity. The efficiency of these antigen concentrations against secondary infections was investigated by the calculation of the reduction in percentage of cysts numbers The results revealed that the reduction percentages of cyst in immunized group were 91.5% , 92.3% and 100% for concentration antigen 15, 30 and 60µg/g for Thr Immunized groups respectively.. There was a significant difference (p≤0.05) between and the positive control group infection. After 45 days of infection, the sensitivity test showed that the highest cellular immune response occurred after three hours of the injection of the B/ES antigen in the left footpad of the animals. This response was measured through the increase in the thickness of the footpad. The reaction was clear in the positive control and in the infected immunized animals. When the test was repeated after 90 days of the infection, the results were similar to the above, but the reaction was more acute than in the first time especially in the positive control groups of mice.
in this paper we adopted ways for detecting edges locally classical prewitt operators and modification it are adopted to perform the edge detection and comparing then with sobel opreators the study shows that using a prewitt opreators
In this paper we investigate the automatic recognition of emotion in text. We propose a new method for emotion recognition based on the PPM (PPM is short for Prediction by Partial Matching) character-based text compression scheme in order to recognize Ekman’s six basic emotions (Anger, Disgust, Fear, Happiness, Sadness, Surprise). Experimental results with three datasets show that the new method is very effective when compared with traditional word-based text classification methods. We have also found that our method works best if the sizes of text in all classes used for training are similar, and that performance significantly improves with increased data.
Due to the difficulties that Iraqi students face when writing in the English language, this preliminary study aimed to improve students' writing skills by using online platforms remotely. Sixty first-year students from Al-Furat Al–Awsat Technical University participated in this study. Through these platforms, the researchers relied on stimuli, such as images, icons, and short titles to allow for deeper and more accurate participations. Data were collected through corrections, observations, and feedback from the researchers and peers. In addition, two pre and post-tests were conducted. The quantitative data were analysed by SPSS statistical Editor, whereas the qualitative data were analyzed using the Piot table, an Excel sheet. The resu
... Show MoreDigital image is widely used in computer applications. This paper introduces a proposed method of image zooming based upon inverse slantlet transform and image scaling. Slantlet transform (SLT) is based on the principle of designing different filters for different scales.
First we apply SLT on color image, the idea of transform color image into slant, where large coefficients are mainly the signal and smaller one represent the noise. By suitably modifying these coefficients , using scaling up image by box and Bartlett filters so that the image scales up to 2X2 and then inverse slantlet transform from modifying coefficients using to the reconstructed image .
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... Show MoreA loS.sless (reversible) data hiding (embedding) method inside an image (translating medium) - presented in the present work using L_SB (least significant bit). technique which enables us to translate data using an image (host image), using a secret key, to be undetectable without losing any data or without changing the size and the external scene (visible properties) of the image, the hid-ing data is then can be extracted (without losing) by reversing &n
... Show More This paper introduces a relation between resultant and the Jacobian determinant
by generalizing Sakkalis theorem from two polynomials in two variables to the case of (n) polynomials in (n) variables. This leads us to study the results of the type: , and use this relation to attack the Jacobian problem. The last section shows our contribution to proving the conjecture.