University of Konstanz

About: University of Konstanz is a education organization based out in Konstanz, Baden-Württemberg, Germany. It is known for research contribution in the topics: Population & Visualization. The organization has 12115 authors who have published 27401 publications receiving 951162 citations. The organization is also known as: University of Constance & Universität Konstanz.

CloudLines: Compact Display of Event Episodes in Multiple Time-Series

Abstract: We propose incremental logarithmic time-series technique as a way to deal with time-based representations of large and dynamic event data sets in limited space. Modern data visualization problems in the domains of news analysis, network security and financial applications, require visual analysis of incremental data, which poses specific challenges that are normally not solved by static visualizations. The incremental nature of the data implies that visualizations have to necessarily change their content and still provide comprehensible representations. In particular, in this paper we deal with the need to keep an eye on recent events together with providing a context on the past and to make relevant patterns accessible at any scale. Our technique adapts to the incoming data by taking care of the rate at which data items occur and by using a decay function to let the items fade away according to their relevance. Since access to details is also important, we also provide a novel distortion magnifying lens technique which takes into account the distortions introduced by the logarithmic time scale to augment readability in selected areas of interest. We demonstrate the validity of our techniques by applying them on incremental data coming from online news streams in different time frames.

Growth with hydrogen, and further physiological characteristics of Desulfotomaculum species

Abstract: Growth of Desulfotomaculum orientis, D. ruminis, D. nigrificans and the Desulfotomaculum strains TEP, TWC and TWP, that were newly isolated with sulfate and fatty acids, was studied using defined mineral media. Four of these strains grew with hydrogen plus sulfate as the only energy source. Under these conditions the growth yield of D. orientis in batch culture was 7.5 g cell dry mass per mol sulfate reduced. Growth on methanol with growth yields of about 6 g cell dry mass per mol sulfate was obtained with D. orientis and strain TEP. All strains tested grew slowly with formate as electron donor. Fatty acids from propionate to palmitate were utilized by the strains TEP, TWC and TWP. D. orientis and the strains TEP and TWC were able to utilize the methoxyl groups of trimethoxybenzoate for growth. D. orientis was found to grow chemoautotrophically with hydrogen, carbon dioxide and sulfate; during growth with C1-compounds no additional organic carbon source was required. Furthermore, D. orientis was able to grow slowly in sulfate-free medium with formate, methanol, ethanol lactate, pyruvate or trimethoxybenzoate. Under these conditions acetate was excreted, indicating the function of carbon dioxide as electron acceptor in a homoacetogenic process. A growth-promoting effect of pyrophosphate added to the medium of Desulfotomaculum species was not observed. The results show a high catabolic and anabolic versatility among Desulfotomaculum species, and indicate that electron transport to sulfate can be the sole energy conserving process in this genus.

An ant colony optimization approach to flexible protein–ligand docking

Abstract: The prediction of the complex structure of a small ligand with a protein, the so-called protein–ligand docking problem, is a central part of the rational drug design process. For this purpose, we introduce the docking algorithm PLANTS (Protein–Ligand ANT System), which is based on ant colony optimization, one of the most successful swarm intelligence techniques. We study the effectiveness of PLANTS for several parameter settings and present a direct comparison of PLANTS’s performance to a state-of-the-art program called GOLD, which is based on a genetic algorithm and frequently used in the pharmaceutical industry for this task. Last but not least, we also show that PLANTS can make effective use of protein flexibility giving example results on cross-docking and virtual screening experiments for protein kinase A.

Can asylum-seekers with posttraumatic stress disorder be successfully treated? A randomized controlled pilot study.

Abstract: Rates of posttraumatic stress disorder (PTSD) are exceptionally high among asylum-seekers. Reportedly, stressors caused by the asylum procedure and psychological consequences of torture contribute to the maintenance of symptoms and interfere with treatment. In a pilot randomized controlled trial, the authors examined the efficacy of trauma-focused treatment in 32 asylum-seekers with PTSD resulting from state-sponsored violence and other traumatic events. Narrative exposure therapy (NET) was compared with treatment as usual (TAU), with a focus on stabilization and psychoactive medication. Six months after treatment, a significant reduction of posttraumatic stress symptoms was found in the NET participants but not in the TAU group. Although treatment gains were moderate, these results indicate that NET is a promising approach for the treatment of PTSD in asylum-seekers living in unstable conditions.