SCANNING FOR SATISFACTION OR DIGGING FOR DISMAY? COMPARING FINDINGS FROM A POSTAL SURVEY WITH THOSE FROM A FOCUS GROUP-STUDY

Scanning for satisfaction or digging for dismay? Comparing findings from a postal survey with those from a focus group-study

Abstract Background Despite growing support for mixed methods approaches we still have little systematic knowledge about the consequences of combining surveys and focus groups.While the methodological aspects of questionnaire surveys have been researched extensively, the characteristics of focus group methodology are understudied.We suggest and dis

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A Runge-Kutta numerical scheme applied in solving predator-prey fuzzy model with Holling type II functional response

The predator-prey model has been extensively studied, but only studies models in a certain environment, where all parameters and initial values involved in the model are assumed to be certain.In Meal real practice, some parameters and initial values are often uncertain.To overcome this uncertainty problem, a model can be made by using a fuzzy theor

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Further evaluation and validation of the VETSCAN IMAGYST: in-clinic feline and canine fecal parasite detection system integrated with a deep learning algorithm

Abstract Background Fecal examinations in pet cats and dogs are key components of routine veterinary practice; however, their accuracy is influenced by diagnostic methodologies and the experience level of personnel performing the tests.The VETSCAN IMAGYST system was developed to provide simpler and easier fecal examinations which are less influence

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