Investigation of the neural correlates of the self has implicated a network of brain regions including the medial prefrontal cortex (MPFC), posterior cingulate (PCC), precuneus (pC), and inferior parietal lobule (IPL). At the same time, recent neuroimaging work has identified the Default Mode Network (DMN), a network of brain regions that are highly active at ‘rest’ (without an active cognitive...

Fault bars are common stress-induced feather abnormalities that could produce feather damage thus reducing flight performance. For that reason, it has been hypothesized that birds may have evolved adaptive strategies that reduce the costs of fault bars (the ‘fault bar allocation hypothesis’). An untested prediction of this hypothesis is that fault bars in important feathers for flight (wing and...

Permanent alteration of sensation in the lip after the removal of mandibular third molar teeth is an unusual but important complication. Studies have been performed to assess the risk of nerve damage but most of these have been retrospective and poorly controlled. This prospective trial predicted the outcome of altered sensation prior to surgery based on assessment of a panoramic radiograph and...

The modelling of consequences to built infrastructure when subject to blast loading is well developed; however, there is considerable uncertainty and variability with explosive loading and system response; which provides many challenges for collateral damage estimation. In this paper, structural facades are assessed – with a focus on glazing – as this is a structural and load-capacity system th...

In a fibre-reinforced polymer (FRP) structure designed using the emerging damage tolerance and structural health monitoring philosophy, sensors and models that describe crack propagation will enable a structure to operate despite the presence of damage by fully exploiting the material's mechanical properties. When applying this concept to different structures, sensor systems and damage types, a...

This paper presents a Matlab-based tutorial for model-based prognostics, which combines a physical model with observed data to identify model parameters, from which the remaining useful life (RUL) can be predicted. Among many model-based prognostics algorithms, the particle filter is used in this tutorial for parameter estimation of damage or a degradation model. The tutorial is presented using...

In management of severe trauma patients, trauma surgeons need to decide which patients are eligible for damage control. Such decision may be supported by utilizing models that predict the patient's outcome. The study described in this paper investigates the possibility to construct patient outcome prediction models from retrospective patient's data at the end of initial damage control surgery b...