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A review. Many properties of single-walled carbon nanotubes (SWCNTs) make them ideal candidates for sensors, particularly for biol. systems. Both their fluorescence in the near-IR range of 820-1600 nm, where absorption by biol. tissues is often minimal, an ...
This paper proposes a dimension reduction technique for estimation in linear mixed models. Specifically, we show that in a linear mixed model, the maximum-likelihood (ML) problem can be rewritten as a substantially simpler optimization problem which presen ...
Stress has complex effects on memory function that can vary depending on the type of information that is learned and in relation to inter-individual characteristics. Recent work has also shown that stress can switch performance between memory systems, bias ...
This paper considers discrete choice, with choice probabilities coming from maximization of preferences from a random utility field perturbed by additive location shifters (ARUM). Any ARUM can be characterized by a choice-probability generating function (C ...
The fracture behavior of adhesively-bonded pultruded double cantilever beam specimens was experimentally investigated. The pultruded adherends comprised two mat layers on each side with a roving layer in the middle. An epoxy adhesive was used to form the d ...
Only a few studies have examined responses of grassland functional diversity to management and major environmental gradients, in order to address the question of whether grassland use can promote functional divergence. For five grassland sites in Israel, P ...
We present a linear programming based method to design time varying routing strategies for positive conservative compartmental systems to satisfy piecewise constant capacity constraints. Such systems can be used to describe the flow of material through a n ...
We propose in this talk to address the issue and effect of linearization in the quality of the error estimates in quantities of interest for strongly nonlinear problems. It is well known that the error representation in this case can be decomposed into two ...
International Center for Numerical Methods in Engineering (CIMNE)2013
This paper proposes a simple linear Bayesian approach to reinforcement learning. We show that with an appropriate basis, a Bayesian linear Gaussian model is sufficient for accurately estimating the system dynamics, and in particular when we allow for corre ...
The high demand for architectural transparency has drastically increased the use of glass mate-rial also for structural purpose. However, connections between structural glass members repre-sent one of the most critical aspects of glass engineering, due to ...