Masonry is a heterogeneous structural material which exhibits a complex behaviour with potential cracking in each of its phases. Its structure (geometrical arrangement of mortar joints, quasi-brittle constituents) causes the appearance of complex composite failure modes with loading path dependence and strong damage-induced anisotropy effects. Large scale computations for masonry structures req...

Correctly classifying a skin lesion is one of the first steps towards treatment. We propose a novel convolutional neural network (CNN) architecture for skin lesion classification designed to learn based on information from multiple image resolutions while leveraging pretrained CNNs. While traditional CNNs are generally trained on a single resolution image, our CNN is composed of multiple tracts...

In data mining, classification is a form of data analysis that can be used to extract models describing important data classes. Two of the well known algorithms used in data mining classification are Backpropagation Neural Network (BNN) and Naïve Bayesian (NB). Bayesian approaches are a fundamentally important DM technique. Given the probability distribution, Bayes classifier can provably achie...

The multi scale approach was pioneered by Tadmor, Ortiz and Phillips [1] for atomistic-based quasi-continuum analysis of dislocations and hardening plasticity of polycrystalline metals. In that case, the structural failure is due to necking, which is caused by nonlinear geometric effects of finite strain, or to sharp fracture, which is modelled separately (see also [2]). There can be no dispute...

Our subjective experience of the world is ‘unitary coherent’ (UC). ‘Unitary’ means we only perceive one interpretation at a time rather than a blur of multiple possible worlds. ‘Coherent’ means that we almost always perceive scenes that do not contain contradictory parts. While this form of first-person perceptual experience may seem obvious, it is in opposition to the requirements of optimal d...

BACKGROUND The signal transduction pathways of epidermal growth factor receptor and Ras are both important in the growth of glioblastoma multiforme (GBM). We hypothesized that inhibition of both pathways would improve the survival time of patients with recurrent GBM. METHODS Patients with recurrent/progressive GBM with 0-2 prior chemotherapy regimens received erlotinib 150 mg once daily and s...