Günther A. Hoffmann

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Fifty-three bovine and 7 ovine carcasses condemned for having eosinophilic myositis were evaluated. Four (7.3%) of the bovine carcasses had a few, large local lesions in skeletal muscles (category A), and 49 (92.7%) of the bovine carcasses and 7 (100%) of the ovine carcasses had multiple, small, disseminated lesions in tongue, esophagus, heart, diaphragm,(More)
The ability to target genes to the various layers, cell types, and appendages of the skin could be used to correct disorders, including those of aging such as wrinkling, as well as utilize specific cell types for production molecules useful elsewhere in the body. However, the stratum corneum acts as a significant physical barrier to gene transfer into the(More)
The availability of software systems can be increased by preventive measures which are triggered by failure prediction mechanisms. In this paper we present and evaluate two non-parametric techniques which model and predict the occurrence of failures as a function of discrete and continuous measurements of system variables. We employ two modelling(More)
Availability prediction in a telecommunication system plays a crucial role in its management, either by alerting the operator to potential failures or by proactively initiating preventive measures. In this paper, we apply linear (ARMA, multivariate, random walk) and nonlinear (Radial and Universal Basis Functions) regression techniques to recognize system(More)
Recently, measurement based studies of software systems proliferated, reflecting an increasingly empirical focus on system availability, reliability, aging and fault tolerance. However, it is a non-trivial, error-prone, arduous, and time-consuming task even for experienced system administrators and statistical analysis to know what a reasonable set of steps(More)
We propose a new paradigm for software availability enhancement. We offer a two-step strategy: Failure prediction followed by maintenance actions with the objective of avoiding impending failures or minimizing the effort of their repair. For the first step we present two failure prediction methods: universal basis functions (UBF) and similar events(More)