Skeletal muscle is a dynamic tissue that responds adaptively to both the nature and intensity of muscle use. This phenotypic plasticity ensures that muscle structure is linked to patterns of muscle use throughout the lifetime of an animal. The cascade of events that result in muscle restructuring - for example, in response to resistance exercise training - is often thought to be initiated by mu...

Unlike adult damage, neonatal damage to the inferior prefrontal convexity (IC) in monkeys spares learning and performance on the delayed nonmatching-to-sample (DNMS) task ( Málková et al. 2000). We investigated whether this sparing was due to compensation by undamaged orbital frontal cortex (O), an area also critical for DNMS, by comparing combined IC and O damage (Neo-ICO) with damage to O alo...

Europe is one of the world’s seven continents consisting of approximately 50 states. Precisely where the division betweenEurope andAsia lies is still a matter of some debate. Sometimes the word “Europe” is used in a geopolitical way to refer only to the European Union. TheEuropeanUnion is composed of 27Member States. The enlargement of the European Union is the process of expanding through the ...

In previous work [27, 26] the author defined a notion of CSP-like operational semantics whose main restrictions were the automatic promotion of most τ actions, no cloning of running processes, and no negative premises in operational semantic rules. He showed that every operator with such an operational semantics can be translated into CSP and therefore has a semantics in every model of CSP. In ...

A general methodology for stochastic fatigue life prediction under variable amplitude loading is proposed in this paper. The methodology combines a nonlinear fatigue damage accumulation rule and a stochastic S–N curve representation technique to achieve this objective. The nonlinear damage accumulation rule proposed in this paper improves the deficiencies inherent in the linear damage accumulat...

The purpose of association mining is to find the valuable relationships between data sets. The prerequisite of it is to find the frequent itemset first. In view of the existing problems in the present frequent itemset mining, this paper puts forward that data sets should be clustered first, and then the algorithm of frequent itemset mining be applied to every cluster. In this way, algorithm of ...