In this study, experimental methods and a theoretical model are developed with aim of understanding and predicting the onset of steam pressure-induced delamination.
Many national security challenges have at their core the problem of understanding and predicting the behavior of social systems, for instance in order to discover groups of individuals of interest, characterize their current activities and motivations, and anticipate the way they are likely to behave in the future.
The model predictions are shown to be sufficiently accurate to allow a greater understanding of these systems and predict the relative stability of different systems.
The in vivo measurement of periprosthetic cancellous bone density by CT-assisted ostedensitometry as described in our study may give us further insights in our understanding of aseptic loosening, and predict stem failure at the early stages.
The investigation contributes to the goals of understanding and predicting experimental phenomena, directing and optimizing biomaterial design, and manipulating integrin-dependent cell-substrate adhesion in tissue engineering.
In Europe, the ARISTOTEL project (2010 2013) has been launched with the aim of understanding and predicting modern aircraft's susceptibility to A/RPC.
Accounting for intraspecific diversity and local adaptations will only increase the chances of understanding and predicting population responses to fishing pressure, environmental impacts, and global climate change, and thus successful management efforts and sustainable fisheries [5], [6], [37].
According to this model, individuals with ASD display poor Empathizing skills (inability to identify another person's emotions and thoughts, and respond to these with an appropriate emotion) but high Systemizing skills (strong propensity to analyze, explore and construct a system, which provides a way of understanding and predicting non agent behaviours).
To date, a plethora of in silico studies have been published with the aim of better understanding and predicting the potency of COX inhibitors on either COX-1 or COX-2 using molecular docking and QSAR models [26-30] [26-30]
We discuss the remaining theoretical challenges, which include deepening our understanding of solvent effects and, vitally, understanding and predicting non-radiative decay rates.
