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A new method is described for the determination of the efficacy of acaricidal drugs against the red imported fire ant, Solenopsis invicta Buren. This is based on the incorporation of a new formulation into the substrate of choice. The method is validated against the average minimum kill time (AMKT) and is found to be in complete agreement with this method. The method has advantages as a guide for early and rapid screening of the efficacy of new acaricides which may be less expensive and quicker to test than the AMKT.Development of a risk assessment model to predict the resting heart rate of Great Danes.
The primary objective was to develop a risk assessment model to predict resting heart rate (RHR) in Great Danes. The 2 objectives were to characterize a normal reference population of RHR for this breed and to develop a multivariate equation to predict RHR from standard medical and genetic risk factors in both sexes. The records from dogs entered in the American Kennel Club’s Personal Health Record program, 1996 to 2005, were used. The data were split randomly into a training (n = 8,977; mean ± SD, 54.3 ± 16.2 years) and testing (n = 8,977; mean ± SD, 55.0 ± 17.0 years) data set. The final model was developed using a multiple linear regression (MLR). The variables in the final model were age, body weight, and coat color. The equation for predicting RHR from this model is: Log(RHR) = 0.94 + 0.22 * log(body weight) – 0.11 * (1 if female, 0 if male) – 0.31 * (1 if coat color is blue, 0 if coat color is other) + 0.001 * (1 if percent body fat is 71 bpm, 0 if coat color is blue, body weight is >40 kg, and RHR ≤ 71 bpm or ≤ 41 bpm and <100% or ≥ 100

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