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.

Comparative Ochratoxin Toxicity: A Review of the Available Data.

Abstract: Ochratoxins are a group of mycotoxins produced by a variety of moulds. Ochratoxin A (OTA), the most prominent member of this toxin family, was first described by van der Merwe et al. in Nature in 1965. Dietary exposure to OTA represents a serious health issue and has been associated with several human and animal diseases including poultry ochratoxicosis, porcine nephropathy, human endemic nephropathies and urinary tract tumours in humans. More than 30 years ago, OTA was shown to be carcinogenic in rodents and since then extensive research has been performed in order to investigate its mode of action, however, this is still under debate. OTA is regarded as the most toxic family member, however, other ochratoxins or their metabolites and, in particular, ochratoxin mixtures or combinations with other mycotoxins may represent serious threats to human and animal health. This review summarises and evaluates current knowledge about the differential and comparative toxicity of the ochratoxin group.

Retinoic acid signaling restricts the cardiac progenitor pool.

Abstract: Organogenesis begins with specification of a progenitor cell population, the size of which provides a foundation for the organ's final dimensions. Here, we present a new mechanism for regulating the number of progenitor cells by limiting their density within a competent region. We demonstrate that retinoic acid signaling restricts cardiac specification in the zebrafish embryo. Reduction of retinoic acid signaling causes formation of an excess of cardiomyocytes, via fate transformations that increase cardiac progenitor density within a multipotential zone. Thus, retinoic acid signaling creates a balance between cardiac and noncardiac identities, thereby refining the dimensions of the cardiac progenitor pool.

Long-Term Stability of Improved Language Functions in Chronic Aphasia After Constraint-Induced Aphasia Therapy

Abstract: Background and Purpose— In response to the established notion that improvement of language functions in chronic aphasia only can be achieved through long-term treatment, we examined the efficacy of a short-term, intensive language training, constraint-induced aphasia therapy (CIAT). This program is founded on the learning principles of prevention of compensatory communication (constraint), massed practice, and shaping (induced). Methods— Twenty-seven patients with chronic aphasia received 30 hours of training over 10 days. Twelve patients were trained with the CIAT program. For 15 patients the training included a module of written language and an additional training in everyday communication, which involved the assistance of family members (CIATplus). Outcome measures included standardized neurolinguistic testing and ratings of the quality and the amount of daily communication. Results— Language functions improved significantly after training for both groups and remained stable over a 6-month follow-up period. Single case analyses revealed statistically significant improvements in 85% of the patients. Patients and relatives of both groups rated the quality and amount of communication as improved after therapy. This increase was more pronounced for patients of the group CIATplus in the follow-up. Conclusions— Results confirm that a short-term intense language training, based on learning principles, can lead to substantial and lasting improvements in language functions in chronic aphasia. The use of family and friends in the training provides an additional valuable element. This effective intervention can be successfully used in the rehabilitation of chronic aphasia patients. Additionally, its short-term design makes it economically attractive for service providers.

Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis

Abstract: Dimensionality Reduction (DR) is a core building block in visualizing multidimensional data. For DR techniques to be useful in exploratory data analysis, they need to be adapted to human needs and domain-specific problems, ideally, interactively, and on-the-fly. Many visual analytics systems have already demonstrated the benefits of tightly integrating DR with interactive visualizations. Nevertheless, a general, structured understanding of this integration is missing. To address this, we systematically studied the visual analytics and visualization literature to investigate how analysts interact with automatic DR techniques. The results reveal seven common interaction scenarios that are amenable to interactive control such as specifying algorithmic constraints, selecting relevant features, or choosing among several DR algorithms. We investigate specific implementations of visual analysis systems integrating DR, and analyze ways that other machine learning methods have been combined with DR. Summarizing the results in a “human in the loop” process model provides a general lens for the evaluation of visual interactive DR systems. We apply the proposed model to study and classify several systems previously described in the literature, and to derive future research opportunities.