This study aims to determine the effect of exposure to cigarette smoke with a biofilter of bidara leaf powder on the histology of the liver, lungs and blood viscosity of mice. This test was carried out for 28 days by giving cigarette smoke with a biofilter of bidara leaf powder and observing the histology of the liver, lungs and blood viscosity. The results showed that exposure to cigarette smoke with a biofilter of bidara leaf powder was very effective in reducing damage to the liver and lungs of mice, and also very effective in reducing blood viscosity as in normal mice blood viscosity. The use of Bidara leaf powder biofilter can affect the histology of the liver, lungs and blood viscosity in mice. Bidara leaf powder biofilter can minimize the negative impact of cigarette smoke.
The study aims to develop the awareness of the criteria for judging electronic educational materials among students of educational qualification at Dhofar University over spreading the Corona pandemic through a program based on mini-educational units. The study was applied to (18) students studying Teaching diploma at Dhofar University for the academic year 2020-2021, and their number. They were chosen intentionally. The study resulted in reaching a list of criteria for judging electronic educational materials, roughly (18) criteria in the selection themes and (15) criteria in the use theme. The level of awareness of the sample members with the criteria for selecting and using electronic educational materials and the effectiveness of the
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research summary
Praise be to Allah، and prayers and peace be upon His Messenger and His chosen one، his family، companions and his family and his family.
After that، this is a study on the question of the claim، as one of the controversial questions that are the mainstay of debates، and I looked at it: the limit of the question of the claim، its importance، its impact، its aspects of corruption، its sections، and the representation of its sections of the fundamentalist controversy;
The research was according to the following plan:
Introduction، in which she mentioned: the importance of the research topic and the reason for its selection، its questions، its l
... Show MoreThe research seeks to identify the proposed scenarios to predict and ward off monetary credit risks that the bank is exposed to in the future, using the banking stress tests model, and showing their impact on capital adequacy and profitability ratio,To achieve this purpose, Sumer Commercial Bank was taken as a case study, and mathematical equations were used to extract the results. Low percentage of profits and returns, strictness in the process of granting credit and financing operations in order to reduce credit risks.
98 samples were collected from various clinical sources included (Burns, wounds, urines, sputums, blood) From the city of Baghdad, After performing the biochemical and microscopic examination, 52 isolates were obtained for Pseudomonas aeruginosa, 17 (32.7%) isolates from burn infection, 12 (23%) isolates from Wound infection 11 (21.2%) isolates from urine infection, 7 (13.5%) isolates of sputum and 5 (9.6%) isolates from blood. Bacteria susceptibility to form biofilm has been detectedby microtiter plate method, The results showed that 80% of the bacterial isolates were produced the biofilm with different proportions, alg D gene (alginate production) has been detected by polymerase chain reaction (PCR) Which plays an essential role in the fo
... Show MoreTwo Pseudomonas putida isolated from soils of plants roots. The bacterial isolates were identified by morphological tests. Biochemical reactions the result confirmed that they belong to p.putida. The bacterial isolates were produced hydrolases enzymes such as pectinase, protease and phosphates (Phosphate solubilization) by these isolates were screened. All P. putida isolates were able to produce these types of enzymes.
Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an ob
... Show MoreCodes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an object under de
... Show MoreThe 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 t
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