Topic modeling and clustering in the trace data-driven analysis of job demands among teachers.

Psychosocial work environment characteristics like job demands have traditionally been studied using survey data. We propose an alternative approach utilizing work related trace data collected from the information systems that employees use to achieve organizational goals. We analyze the job demands of teachers from two universities of applied sciences using trace data collected from the educational online platform Moodle over a period of 90 weeks.

Recursive multimodel partial least squares estimation of mineral flotation slurry contents using optical reflectance spectra.

In mineral flotation the X-ray fluorescence (XRF) grade measurements of the slurries typically give the most important on-line information on the state of the flotation process. It has been shown that the visual and near-infrared (VNIR) reflectance spectrum measurements of certain mineral slurries can be used to complete the sparse XRF slurry content information. This study focuses on the chemometrical analysis of the VNIR spectrum of the slurries and presents a new partial least squares (PLS)-based recursive multimodel approach with local orthogonal signal correction (OSC) for predicting the slurry contents.

State space modeling of yeast gene expression dynamics.

Combined interaction of all the genes forms a central part of the functional system of a cell. Thus, especially the data-based modeling of the gene expression network is currently one of the main challenges in the field of systems biology. However, the problem is an extremely high-dimensional and complex one, so that normal identification methods are usually not applicable specially if aiming at dynamic models.