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Reduced Order Models for On-Line Parameter Identification of the Activated Sludge Process

A reduced order dynamic model for an activated sludge process performing carbonaceous removal, nitrification, and denitrification is proposed. Based on directly measurable real time data - by methods available today - all model parameters are identified on-line. A simplified extended Kalman filter is used for the actual identification. Verification of the results is based on computer simulations o

Civic culture and informal media uses: Poles and Greeks discussing “free culture”

The article begins from critical accounts addressing the crisis of politics and citizenship today, to study the civic potential that several media and social scholars view in informal practices that include the usage of new media and information and communication technologies. On one hand, new media and ICT are noted to empower individual users and groups, to provide spaces of voice and debate and

Numerical evaluation of multinormal expectations

The numerical computation of expectations for (nearly) singular multivariate normal distribution is a difficult problem, which frequently occurs in widely varying statistical contexts. In this article we discuss several strategies to improve the algorithm proposed by Genz and Kwong (2000) when either a moderate accuracy is requested, the correlation structure is strong, and, most importantly, the

Autoimmune markers in lymphoid malignancies.

Chronic immune stimulation such as Helicobacter pylori (hp) infection, Sjögren's syndrome or coeliac disease may initiate non-Hodgkin lymphoma (NHL). The opposite (appearance of autoimmunity) has also been reported. The aim of this study was to describe the pattern of these immune markers in patients with lymphoid malignancies. Sera from 96 patients with NHL (median age 72, range 38-88, F/M 41/55)

A one-dimensional computational model for the interaction of phase-transformations and plasticity

In this work, we model the basic mechanisms of the interaction between phase-transformations and plasticity within a one-dimensional constitutive framework. Efficient algorithms are presented, facilitating to solve the underlying evolution equations with high numerical stability at low numerical costs. Furthermore, a family of functions covering physically reasonable classes for the inheritance of