Sheep abomasal phytobezoariasis: the effect of breed, season and age with histopathological observations

The prevalence of the latent form of sheep abomasal phytobezoariasis and the effect of husbandry management on this condition were determined in a survey in and industrial abattoir in Urmia from June 2005 to July 2006. The effect of different age groups and seasons on the prevalence of sheep abomasal phytobezoariasis was also determined. Furthermore, the histological changes in the affected abomasal tissue were also verified. The breeds and ages of the sheep were identified prior to slaughter. In the postmortem, the abomasum was examined for foreign bodies, including bezoars. Tissue specimens were taken from the abomasal body in the affected cases. The annual prevalence of sheep abomasal phytobezoariasis was 1.95%. The prevalence was highest in the Makuei breed and the lowest in Ghezel sheep. The prevalence was higher in winter compared to other seasons. The number of phytobezoars per abomasums ranged from one to four. The histopathological changes in the affected cases included leukocytic infiltration in the mucosal layer, edema, glandular hyperplasia and cystic spaces

Evaluation of the optimal performance of passenger vehicle by integrated energy-environment-economic modeling

Analysis of multi dimensional interactions of flow of energy in passenger vehicle is a complex task that necessitates development and utilization of analytical tools. Development of analytical tools with high complexity is usually based on conclusions of many concepts and theories from different scientific disciplines. In this approach, Passenger vehicle is supposed to be organized in the form of a firm and appears in the market that oriented towards establishing an effective energy supply system which may be identified as delivering the product [person kilometer or tone kilometer] with minimum operation costs. To this end, an optimization model named power software founded on theory of firm of microeconomics has been developed using technique of mathematical programming. Base on this theory, the car owner tries to minimize the total cost of the system subject to the satisfaction of the required transport services and technological, economical, environmental and institutional constraints. The approach and the application of the model shall be demonstrated with the help of a case study. The result of this study shows the extent of optimal energy usage subject to meeting the required certain urban transport service