Helminthic infection is the major cause of the sheep’s reduced productivity. In this study, a total number of 240 fecal samples of sheep from stationary flocks of four different zones of Mazandaran province (Amol, Babol, Sari, and Nowshahr cities) were examined each season, out of which 53.33% of animals were affected by the helminthic infections. The most prevalent infecting parasites were the Trichostrongylidae (46.61%), followed by the Fasciola (9.96%). In addition, the Strongyloides had the lowest proportion with only 2.39%. The other detected parasites included Chabertia (5.98%), Cooperia (3.19%), Nematodirus (3.19%), Trichuris (5.58%), Toxocaridae (4.78%), Haemonchus (4.78%), Ostertagia (5.58%), Oesophagostomum (4.78%), and Dicrocoelium (3.19%). The nematodes had the highest percentage with 86.85%, whereas the trematodes followed them with 13.15%. No significant difference was observed between the infection level in females and males, with 56.9% and 43.94% rates of infection, respectively. Significantly lower infection was observed in winter compared with the other seasons. Trichostrongylidae was the dominant genus across all seasons. It was also noted that winter had the lowest percentage of helminthic infection significantly. The eggs per gram of feces was also estimated, and it showed that a significant number of sheep are infected with a moderate number of parasites. In a conclusion, even though livestock farmers have been using antiparasitic drugs in their livestock in recent years, parasitic infection still exists in livestock. Thus, a proper implementation of helminthic infection control programs in this area should be employed as the key element for reducing the high prevalence of livestock helminthic infection.
Abstract. Enterprise Architecture (EA) as a discipline with numerous and enterprise-wide models, can support decision making on enterprise-wide issues. In order to provide such support, EA models should be amenable to analysis of various utilities and quality attributes. This paper provides a method towards EA interoperability analysis. This approach is based on Analytical Hierarchy Process (AHP) and considers the situation of the enterprise in giving weight to the different criteria and sub criteria of each utility. It proposes a quantitative method of assessing Interoperability achievement of different scenarios using AHP based on the knowledge and experience of EA experts and domain experts, and helps in deciding between them. The applicability of the proposed approach is demonstrated using a practical case study.
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