This paper surveys and discusses the application of data-derived soft-sensing techniques in
biological wastewater treatment plants. Emphasis is given to an extensive overview of the …

The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …

Background Historically social connection has been an important way through which
humans have coped with large-scale threatening events. In the context of the COVID-19 …

The author identifies four conceptualizations of the relation between symptoms and
disorders as utilized in diagnostic systems such as the Diagnostic and Statistical Manual of …

This paper is a written version of the talk Julie Josse delivered at the 44 Journées de
Statistique (Bruxelles, 2012), when being awarded the Marie-Jeanne Laurent-Duhamel …

Aquaphotomics is a novel scientific discipline involving the study of water and aqueous
systems. Using light-water interaction, it aims to extract information about the structure of …

It has been acknowledged that both trait and state contribute to psychological
measurements. However, existing structural equation models for disentangling these …

Recently analysis of variance (ANOVA)-simultaneous component analysis (ASCA) has been
introduced as an explorative tool for the analysis of multivariate data with an underlying …

A new method is introduced for the analysis of 'omics' data derived from crossover designed
drug or nutritional intervention studies. The method aims at finding systematic variations in …

The purpose of the present study is to find the common kernel of different trait taxonomic
studies and find out how the individual structures relate to this common kernel. Trait terms …