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In several independent studies, elevated serum levels of IP-10 were found to predict the failure of IFN-α based HCV treatment [ 32, 33].
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More recently, in patients with severe traumatic injury, plasma levels of sRAGE were found to predict the development of acute renal failure [ 30].
A linear damage accumulation model was also applied and found to adequately predict the failure of specimens subjected to more arbitrary strain histories.
The ease with which processing bias can be modified has been found to predict success in the treatment of anxiety (Clarke, Chen, & Guastella, 2012) suggesting that some treatment failures may be attributable to lack of changes in these underlying processing biases.
N-terminal brain natriuretic peptide (NT-proBNP) is an established biomarker of heart failure and has been found to predict mortality and morbidity after cardiac surgery.
Dyspnoea, orthostatic hypotension, precipitating cause of syncope, age over 58 years, congestive heart failure, and electrocardiogram abnormality (termed DO-PACE) were found to predict short-term serious outcomes by logistic regression analysis and these were used to compose the ASR.
The study finds that finite element models with an appropriate material property degradation scheme using the micromechanics of failure criterion are able to predict the failure load of undamaged and damaged specimen.
Failure criteria for the first four failure modes were proposed and applied to predict the failure load of specific ISC.
Experiments were performed to find the failure load and to predict the failure mode.
The failure methodology employs finite element analysis (FEA) in order to predict the failure load, at 50% probability of failure.
The concrete damaged plasticity model was found to accurately predict the concrete failure characteristics.
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