Abstract: This invention provides compositions and methods for identification of carriers of Hereditary Equine Regional Dermal Asthenia (HERDA) in equine species. In particular, this invention identifies a single nucleotide polymorphorism (SNP) in cyclophlin B that can be used to identify carriers of HERDA and individuals affected by HERDA.

Abstract: This invention provides compositions and methods for identification of carriers of Hereditary Equine Regional Dermal Asthenia (HERDA) in equine species. In particular, this invention identifies a single nucleotide polymorphorism (SNP) in cyclophlin B that can be used to identify carriers of HERDA and individuals affected by HERDA.

Abstract: The technology includes for methods, a system, and a computer readable medium for modeling the failure of an electronic component, based on a detailed simulation of fatigue mechanisms in the component. The technology further includes methods, system, and a medium programmed to predict failure of a system that includes an electronic component, based on modeling one or more fatigue mechanisms in the component.

Abstract: The invention provides a method and apparatus for predicting the failure of a component using a probabilistic model of a material's microstructural-based response to fatigue. The method predicts the component failure by a computer simulation of multiple incarnations of real material behavior, or virtual prototyping. The virtual prototyping simulates the effects of characteristics that include grain size, grain orientation, micro-applied stress and micro-yield strength that are difficult to simulate with real specimens. The invention provides an apparatus for predicting the response of a component to fatigue using the method.

Abstract: The invention regards a system reliability or failure predicting apparatus and method that incorporates known information about system component failure into a system model and uses the model with or without other acquired system data to predict the probability of system failure. An embodiment of the method includes using probabilistic methods to create a system failure model from the failure models of individual system components, predicting the failure of the system based on the component models and system data, ranking the sensitivity of the system to the system variables, and communicating a failure prediction.