CLINICAL PICTURE AND THERAPEUTIC MANAGEMENT OF LEAD TOXICOSIS IN SHEEP

The project was aimed at evaluation of comparative therapeutic efficacy of two treatment regimes for the treatment of lead poisoning in sheep. For this purpose 20, two-months-old, lambs of Buchi breed were used as experimental animals. Five animals were kept as healthy control, whereas the remaining 15 animals were given oral aqueous solution of lead acetate daily. The dose was started from 5 mg/kg bodyweight and was increased gradually till it reached 100 mg/kg body weight by the end of 2nd month when clinical toxicosis was observed. Clinical findings included diarrhea, hindquarter weakness and reduction of feed intake, accompanied by anemia and elevated blood lead levels up to 2.72 ppm. The 15 toxicated animals were divided into three groups A, B and C comprising of 5 animals each. Disodium calcium edetate, which was used to treat animals of group A, resulted in 52.7% fall in blood lead level in 5 days. A combination of disodium calcium edetate and thiamine hydrochloride was used to treat animals of group B, which showed 73.8% fall in blood lead levels. Group C served as untreated control. Thus, combination therapy appears to be more effective for treatment of lead toxicosis

Multiple Criteria Decision Making Based on Probabilistic Interval-Valued Hesitant Fuzzy Sets by Using LP Methodology

Probabilistic interval-valued hesitant fuzzy sets (PIVHFSs) are an extension of interval-valued hesitant fuzzy sets (IVHFSs) in which each hesitant interval value is considered along with its occurrence probability. These assigned probabilities give more details about the level of agreeness or disagreeness. PIVHFSs describe the belonging degrees in the form of interval along with probabilities and thereby provide more information and can help the decision makers (DMs) to obtain precise, rational, and consistent decision consequences than IVHFSs, as the correspondence of unpredictability and inaccuracy broadly presents in real life problems due to which experts are confused to assign the weights to the criteria. In order to cope with this problem, we construct the linear programming (LP) methodology to find the exact values of the weights for the criteria. Furthermore these weights are employed in the aggregation operators of PIVHFSs recently developed. Finally, the LP methodology and the actions are then applied on a certain multiple criteria decision making (MCDM) problem and a comparative analysis is given at the end