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Challenges in the treatment of malignant glioma with oncolytic adenovirus

Malignant glioma is a tumor that spreads rapidly throughout brain and is almost impossible to remove completely by surgery. It is resistant to chemo- and radiotherapy and the prognosis is very poor. As a result, there is a desperate need for development of novel therapies against this devastating disease. Because of the heterogeneity in this cancer success has been limited, but a recent concept in

Signal Estimation over Channels with SNR Constraints and Feedback

We consider the problem of designing optimal linear encoders and decoders for estimation and transmission of a signal over an analog communication channel with additive noise and a signal-to-noise ratio (SNR) constraint. The objective is to minimize the variance of the estimation error at the receiving end, subject to a real-time constraint. It has been previously shown that, for channels without

A Case Study in Model Reduction of Linear Time-Varying Systems

In this paper, the balanced truncation procedure is applied to time-varying linear systems, both in continuous and in discrete time. The methods are applied to a linear approximation of a diesel exhaust catalyst model. The reduced-order systems are obtained by using certain projections instead of direct balancing. An approximate zero-order-hold discretization of continuous-time systems is describe