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The present clinical study was to evaluate the relationship between weight, degenerative joint disease (DJD) and age on the outcome in dogs underwent excision arthroplasty operation. 105 dogs have been referred to clinic with lameness on hindlimb. Dogs were younger than 1 year (50 dogs), 1 to 5 years (24) and older than 5 years (31). The rest of them were less than 10kg and the rest were heavier than 10kg. Lameness during walking was scored between zero to 5. Radiographic findings were showed that degenerative joint change, hip dysplasia and luxation. Excision arthroplasty of the hip joint was performed. Walking status was examined postoperatively. Intra-group data showed in dogs younger than 1 year, weight was not an effective factor, and association between DJD and the outcome was statistically significant in both weights. DJD had effective role in dogs more than 10kg in comparison to less than 10kg. The association between DJD and the outcome wasn't statistically significant in dogs 1 to 5 years in both weights. In elder dogs, weight wasn't a main factor, and association between DJD and outcome was statistically significant in both weights. In latter group, DJD had effective role on the outcome in dogs less than 10 kg in comparison with more than 10 kg. The authors suggest the weight is not as much effective as age among groups of study after Excision arthroplasty of the hip joint.

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Expected utility maximization problem is one of the most useful tools in mathematical finance, decision analysis and economics. Motivated by statistical model selection, via the principle of expected utility maximization, Friedman and Sandow (J Mach Learn Res 4:257-291, 2003a) considered the model performance question from the point of view of an investor who evaluates models based on the performance of the optimal strategies that the models suggest. They interpreted their performance measures in information theoretic terms and provided new generalizations of Shannon entropy and Kullback-Leibler relative entropy and called them U -entropy and U -relative entropy. In this article, a utility-based criterion for independence of two random variables is defined. Then, Markov's inequality for probabilities is extended from the U -entropy viewpoint. Moreover, a lower bound for the U -relative entropy is obtained. Finally, a link between conditional U -entropy and conditional Renyi entropy is derived. G. R. Mohtashami Borzadaran is a member