Kinetic modelling of myocardial necrosis biomarkers offers an easier, reliable and more acceptable assessment of infarct size

of PFM-1 sharing 90% to 92% amino acid identity were identified in bacterial species belonging to the Pseudomonas fluorescens complex, including Pseudomonas libanen- sis (PFM-2)

The identified deficits were then summarized as the absolute number of deficits according to major somatic, minor somatic, and cognitive deficits, and as the number of patients having

The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise

The bond strength at the interface can be influenced by the properties of the substrate COncrete and its surface (roughness, cleanness, and curing state), by the properties of

The objective of this paper is to study the reliability of assessment by analyzing the effects of several influencing factors: number of test locations used to identify a

after it crashes, (3) when a process takes a step and queries its failure detector module, it gets the current value output by its local failure detector module, (4) every process

The contribution of our study is two-fold: (i) we apply an appropriate comparison of motion and deformation patterns that overcomes the limits of previous

Assessment of myocardial necrosis biomarker release after acute myocardial infarction determined by kinetic modeling and correlation with infarct size determined by magnetic