Eldorado - Repositorium der TU Dortmund

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Aktuellste Veröffentlichungen

On the differential equations of frozen Calogero-Moser-Sutherland particle models
(2024-07-23) Voit, Michael
Multivariate Bessel and Jacobi processes describe Calogero-Moser-Sutherland particle models. They depend on a parameter k and are related to time-dependent classical random matrix models like Dysom Brownian motions, where k has the interpretation of an inverse temperature. There are several stochastic limit theorems for k→∞ were the limits depend on the solutions of associated ordinary differential equations (ODEs) where these ODEs admit particular simple solutions which are connected with the zeros of the classical orthogonal polynomials. In this paper we show that these solutions attract all solutions. Moreover we present a connection between the solutions of these multivariate ODEs with associated one-dimensional inverse heat equations. These inverse heat equations are used to compute the expectations of some determinantal formulas for the multivariate Bessel and Jacobi processes.
Online coupling of liquid chromatography and two-dimensional diffusion ordered spectroscopy for the analysis of oligostyrenes
(2024-02-16) Grabe, Bastian; Hiller, Wolf
The aim of this study was to introduce a powerful coupling of Liquid Adsorption Chromatography (LAC) and Diffusion-Ordered Spectroscopy (DOSY) for comprehensive structure analysis. This new hyphenation approach facilitated the simultaneous separation of a polymer mixture and the determination of molar masses within a single 3D experiment. The online coupling of High-Performance Liquid Chromatography (HPLC) and two-dimensional DOSY-NMR will be called 3D-LAC-NMR-DOSY experiment. Our methodology enabled the chromatographic separation of analytes based on their chemical heterogeneity, and provided accurate molar masses of the analytes through 2D-DOSY. This new method was demonstrated on a polystyrene oligomer mixture. In this case, the oligostyrenes could be separated with LAC according to their tacticity and chain length in protonated acetonitrile as eluent and DOSY measurements provided the molar masses of each oligomer. In order to show the power of the 3D-LAC-NMR-DOSY method, the comparison to 2D-DOSY, 3D-DOSY and LAC-NMR was separately evaluated. Furthermore, the recently published solvent-independent molar mass calibration of diffusion coefficients was also successfully applied in our LAC-DOSY studies for molar mass predictions of the oligomers in acetonitrile. The predicted molar masses were in good agreement with the LAC-DOSY measurements and were verified by calibrations of diffusion coefficients and mass spectrometry. Finally, this pioneering 3D technique offers a powerful new tool for advancing structure analysis and enhancing our understanding of complex systems such as oligostyrenes.
Perspective matters in goal-predictive gaze shifts during action observation: results from 6-, 9-, and 12-month-olds and adults
(2024-09-20) Adam, Maurits; Elsner, Birgit; Zmyj, Norbert
Research on goal-predictive gaze shifts in infancy so far has mostly focused on the effect of infants’ experience with observed actions or the effect of agency cues that the observed agent displays. However, the perspective from which an action is presented to the infants (egocentric vs. allocentric) has received only little attention from researchers despite the fact that the natural observation of own actions is always linked to an egocentric perspective, whereas the observation of others’ actions is often linked to an allocentric perspective. The current study investigated the timing of 6-, 9-, and 12-month-olds’ goal-predictive gaze behavior, as well as that of adults, during the observation of simple human grasping actions that were presented from either an egocentric or allocentric perspective (within-participants design). The results showed that at 6 and 9 months of age, the infants predicted the action goal only when observing the action from the egocentric perspective. The 12-month-olds and adults, in contrast, predicted the action in both perspectives. The results therefore are in line with accounts proposing an advantage of egocentric versus allocentric processing of social stimuli, at least early in development. This study is among the first to show this egocentric bias already during the first year of life.
Multi-, inter-, and transdisciplinary approaches to nature-based flood risk management
(2024-02-03) Davids, Peter R.; Hartmann, Thomas; Ferreira, Carla S. S.; Kalantari, Zahra; Pereira, Paulo
Nature-based solutions (NBS) can act as a valuable complement to conventional ‘grey’ infrastructure for stormwater management (e.g. dams and dikes) in reducing flood risks as these ‘green’ solutions are perceived to be more flexible and multifunctional. However, to achieve effective NBS, a multi-actor approach in developing appropriate measures for specific sites is required as NBS occupy more space than ‘grey’ infrastructure and often overlap with private land. NBS also necessitate a multidisciplinary approach, to maximise environmental, social, and economic benefits. Thus, a transdisciplinary approach is needed for the effective implementation of NBS. Viewing NBS as a boundary concept, focusing on the common ground for different disciplines and actors, can facilitate communication and provide a first step towards effective flood risk mitigation.
MoS-TEC: a toxicogenomics database based on model selection for time-expression curves
(2024-05-08) Kappenberg, Franziska; Küthe, Benedikt; Rahnenführer, Jörg
MoS-TEC is a newly developed toxicogenomics database for time-expression curves fitted with a statistical model selection approach. Toxicogenomic data provide information on the response of the genome to compounds, often measured in terms of gene expression values. When such experimental data are available for different exposure times, the functional relationships between the exposure time and the expression values of genes might be of interest. The TG-GATEs (Open Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System) database provides such information for genomewide gene expression data for 170 compounds. We performed extensive model selection using MCP-Mod on these data. Specifically, gene expression data measured for eight time points from in vivo experiments on rat liver for 120 compounds with complete datasets were considered. MCP-Mod is a two-step approach, including a multiple comparison procedure (MCP) and a modelling (Mod) approach. The results are estimated time-expression curves that model the relationship between exposure time and gene expression values for all combinations of genes and compounds. We present an appropriate data normalization approach and report which models were selected per compound and in total. For high-quality model fits with a large value for the explained variance, the sigEmax model was most frequently selected. The new R Shiny application MoS-TEC provides easy access for researchers to the best curve fit for all genes individually for all compounds. It can be used online without installing additional software.