The aims of this study were to prepare Cryptococcus neoformans killed whole cell antigen and evaluate their effects by using DTH- skin test and the differential white blood cells in local rabbits.
Fourteen animals of both sexes were divided randomly into two groups. The first group (7 animals) was immunized with 1 ml of Cryptococcus neoformans killed whole cell antigen (1x 10 cells/ml), subcutaneously. A booster dose was given after 14 days of the first dose. The second group (7 animals) was considered as control group. Based on results of DTH-skin test, no significant differences (P< 0.05) were recorded between the concentrations, 15 mg/ml and 7.5 mg/ml after 24, 48 and 72 hrs., but there was a significant differences (P<0.05) between these concentrations and 7.5 mg/ml and 3.75 mg/ml and control site. There was no significant difference between all types of cells (neutrophils, lymphocytes, monocytes, and eosinophils) of immunized and control groups.
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Magnetic Abrasive Finishing (MAF) is an advanced finishing method, which improves the quality of surfaces and performance of the products. The finishing technology for flat surfaces by MAF method is very economical in manufacturing fields an electromagnetic inductor was designed and manufactured for flat surface finishing formed in vertical milling machine. Magnetic abrasive powder was also produced under controlled condition. There are various parameters, such as the coil current, working gap, the volume of powder portion and feed rate, that are known to have a large impact on surface quality. This paper describes how Taguchi design of experiments is applied to find out important parameters influencing the surface quality generated during
... Show MoreIn this paper, two of the local search algorithms are used (genetic algorithm and particle swarm optimization), in scheduling number of products (n jobs) on a single machine to minimize a multi-objective function which is denoted as (total completion time, total tardiness, total earliness and the total late work). A branch and bound (BAB) method is used for comparing the results for (n) jobs starting from (5-18). The results show that the two algorithms have found the optimal and near optimal solutions in an appropriate times.
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