In present study, thermo-elastic buckling analysis of multi-layer orthotropic annular/circular graphene sheets is investigated based on Eringen’s theory. The moderately thick and also thick nano-plates are considered. Using the non-local first and third order shear deformation theories, the governing equations are derived. The van der Waals interaction between the layers is simulated for multi-...

There is a significant need for principled uncertainty reasoning in machine learning systems as they are increasingly deployed safety-critical domains. A new approach with uncertainty-aware regression-based neural networks (NNs), based on evidential distributions aleatoric and epistemic uncertainties, shows promise over traditional deterministic methods typical Bayesian NNs, notably the capabil...

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science and culture separate and then to show ways in which the two were "integrated", "linked", "fused", "blended", "synthesized", "amalgamated". A consequence is that naturalistic explanations are treated less as gendered products than as tappable sources serving medieval constructions of gender. For some readers, the primary material Cadden presents will have considerably greater interest th...

Current trends in electrification of the final energy consumption and towards a massive electricity production from renewables are leading revolution electric distribution system. Indeed, traditional “fit & forget” planning approach used by Distributors would entail huge amount network investment. Therefore, for making these economically sustainable, concept Smart Distribution Network has b...

Mastering both demand and supply uncertainty is a key challenge for many companies. Markets are increasingly turbulent and also the vulnerability of production and logistics processes is growing. The management of uncertainty has been addressed as an essential task of supply chain management (among others by Davis 1993 and van der Vorst & Beulens 2002). For coping with the addressed uncertainti...