Steinau an der Strasse, Germany

Albstadt-Sigmaringen University of Applied Sciences
Steinau an der Strasse, Germany
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Sicilia A.,Ramon Llull University | Nemirovski G.,Albstadt-Sigmaringen University of Applied Sciences | Nolle A.,Albstadt-Sigmaringen University of Applied Sciences
Semantic Web | Year: 2017

This paper presents Map-On, a web-based editor for visual ontology mapping developed by the Architecture, Representation and Computation research group of La Salle, Ramon Llull University. The Map-On editor provides a graphical environment for the ontology mapping creation using an interactive graph layout. A point-and-click interface simplifies the mapping creation process. The editor automatically generates a R2RML document based on user inputs, particularly producing IRI patterns and SQL queries. It has been used in real scenarios alleviating the effort of coding R2RML statements which is one of the main barriers for adopting R2RML in research and in the industry. © 2017 - IOS Press and the authors. All rights reserved.

Hartmann H.,University of Tübingen | Hossfeld S.,University of Tübingen | Schlosshauer B.,University of Tübingen | Mittnacht U.,University of Tübingen | And 6 more authors.
Journal of Controlled Release | Year: 2013

Binding, stabilizing and promoting cellular uptake of siRNA are all critical efforts in creating matrices for the localized delivery of siRNA molecules to target cells. In this study, we describe the generation of chitosan imidazole/siRNA nanoplexes (NPs) embedded in nano scope polyelectrolyte multilayers (PEMs) composed of hyaluronic acid and chitosan for sustained and localized drug delivery. Regular PEM build-up, successful integration of NPs and controlled release under physiological conditions were shown. Biological efficacy was evaluated in neuronal cell culture concerning cell adhesion, viability, NPs uptake and gene silencing. The additionally shown biological functionalization of neuronal implants possesses potential for future applications in the field of regenerative medicine and treatment of spinal cord injuries. © 2013 Elsevier B.V.

Wesierska M.J.,Nencki Institute of Experimental Biology | Duda W.,Nencki Institute of Experimental Biology | Dockery C.A.,Nencki Institute of Experimental Biology | Dockery C.A.,Albstadt-Sigmaringen University of Applied Sciences
Frontiers in Behavioral Neuroscience | Year: 2013

N-methyl-D-aspartate receptors (NMDAR) are involved in neuronal plasticity. To assess their role simultaneously in spatial working memory and non-cognitive learning, we used NMDAR antagonists and the Allothetic Place Avoidance Alternation Task (APAAT). In this test rats should avoid entering a place where shocks were presented on a rotating arena which requires cognitive coordination for the segregation of stimuli. The experiment took place 30 min after intraperitoneal injection of memantine (5, 10, 20 mg/kg b.w.: MemL, MemM, MemH, respectively) and (+)MK-801 (0.1, 0.2, 0.3 mg/kg b.w.: MK-801L, MK-801M, MK-801H, respectively). Rats from the control group were intact or injected with saline (0.2 ml/kg). Over three consecutive days the rats underwent habituation, two avoidance training intervals with shocks, and a retrieval test. The shock sector was alternated daily. The after-effects of the agents were tested on Day 21. Rats treated with low dose memantine presented a longer maximum time avoided and fewer entrances than the MemH, MK-801M, MK-801H and Control rats. The shocks per entrances ratio, used as an index of cognitive skill learning, showed skill improvement after D1, except for rats treated by high doses of the agents. The activity levels, indicated by the distance walked, were higher for the groups treated with high doses of the agents. On D21 the MK801H rats performed the memory task better than the MemH rats, whereas the rats' activity depended on condition, not on the group factor. These results suggest that in naïve rats mild NMDAR blockade by low-dose memantine improves working memory related to a highly challenging task. © 2013 Wesierska, Duda and Dockery.

Knoblauch A.,Albstadt-Sigmaringen University of Applied Sciences
Neural Computation | Year: 2016

Neural associative networks are a promising computational paradigm for both modeling neural circuits of the brain and implementing associative memory and Hebbian cell assemblies in parallel VLSI or nanoscale hardware. Previous work has extensively investigated synaptic learning in linear models of the Hopfield type and simple nonlinear models of the Steinbuch/Willshaw type. Optimized Hopfield networks of size n can store a large number of about n2/k memories of size k (or associations between them) but require real-valued synapses, which are expensive to implement and can store at most C = 0.72 bits per synapse. Willshaw networks can store a much smaller number of about n2/k2 memories but get along with much cheaper binary synapses. Here I present a learning model employing synapses with discrete synaptic weights. For optimal discretization parameters, this model can store, up to a factor ζ close to one, the same number of memories as for optimized Hopfield-type learning-for example, ζ = 0.64 for binary synapses, ζ = 0.88 for 2 bit (four-state) synapses, ζ = 0.96 for 3 bit (8-state) synapses, and ζ > 0.99 for 4 bit (16-state) synapses. The model also provides the theoretical framework to determine optimal discretization parameters for computer implementations or brainlike parallel hardware including structural plasticity. In particular, as recently shown for the Willshaw network, it is possible to store C1 = 1 bit per computer bit and up to CS = log n bits per nonsilent synapse, whereas the absolute number of stored memories can be much larger than for the Willshaw model. © 2015 Massachusetts Institute of Technology.

Danker T.,NMI TT GmbH | Moller C.,Albstadt-Sigmaringen University of Applied Sciences
Frontiers in Pharmacology | Year: 2014

Blockade of the cardiac ion channel coded by hERG can lead to cardiac arrhythmia, which has become a major concern in drug discovery and development. Automated electrophysiological patch clamp allows assessment of hERG channel effects early in drug development to aid medicinal chemistry programs and has become routine in pharmaceutical companies. However, a number of potential sources of errors in setting up hERG channel assays by automated patch clamp can lead to misinterpretation of data or false effects being reported. This article describes protocols for automated electrophysiology screening of compound effects on the hERG channel current. Protocol details and the translation of criteria known from manual patch clamp experiments to automated patch clamp experiments to achieve good quality data are emphasized. Typical pitfalls and artifacts that may lead to misinterpretation of data are discussed. While this article focuses on hERG channel recordings using the QPatch (Sophion A/S, Copenhagen, Denmark) technology, many of the assay and protocol details given in this article can be transferred for setting up different ion channel assays by automated patch clamp and are similar on other planar patch clamp platforms. © 2014 Danker and Möller.

Milligan C.J.,Brain Parade | Moller C.,Albstadt-Sigmaringen University of Applied Sciences
Methods in Molecular Biology | Year: 2013

Ion channels are integral membrane proteins that regulate the flow of ions across the plasma membrane and the membranes of intracellular organelles of both excitable and non-excitable cells. Ion channels are vital to a wide variety of biological processes and are prominent components of the nervous system and cardiovascular system, as well as controlling many metabolic functions. Furthermore, ion channels are known to be involved in many disease states and as such have become popular therapeutic targets. For many years now manual patch-clamping has been regarded as one of the best approaches for assaying ion channel function, through direct measurement of ion flow across these membrane proteins. Over the last decade there have been many remarkable breakthroughs in the development of technologies enabling the study of ion channels. One of these breakthroughs is the development of automated planar patch-clamp technology. Automated platforms have demonstrated the ability to generate high-quality data with high throughput capabilities, at great efficiency and reliability. Additional features such as simultaneous intracellular and extracellular perfusion of the cell membrane, current clamp operation, fast compound application, an increasing rate of parallelization, and more recently temperature control have been introduced. Furthermore, in addition to the well-established studies of over-expressed ion channel proteins in cell lines, new generations of planar patch-clamp systems have enabled successful studies of native and primary mammalian cells. This technology is becoming increasingly popular and extensively used both within areas of drug discovery as well as academic research. Many platforms have been developed including NPC-16 Patchliner® and SyncroPatch® 96 (Nanion Technologies GmbH, Munich), CytoPatch™ (Cytocentrics AG, Rostock), PatchXpress® 7000A, IonWorks® Quattro and IonWorks Barracuda™, (Molecular Devices, LLC); Dynaflow® HT (Cellectricon AB, Mölndal), QPatch HT (Sophion A/S, Copenhagen), IonFlux HT (Fluxion Bioscience Inc, USA), which have demonstrated the capability to generate recordings similar in quality to that of conventional patch clamping. Here we describe features of Nanion's NPC-16 Patchliner® and processes and protocols suited for this particularly flexible and successful high-throughput automated platform, which is based on planar patch-clamp technology. However, many of the protocols and notes given in this chapter can be applied to other automated patch-clamp platforms, similarly. © 2013 Springer Science+Business Media, LLC.

Mayer T.,Daimler AG | Kreyenberg D.,Daimler AG | Wind J.,Daimler AG | Braun F.,Albstadt-Sigmaringen University of Applied Sciences
International Journal of Hydrogen Energy | Year: 2012

Vehicles with electric drive trains are currently the subject of intense discussion by society. The cost trends of the individual components in the electric drive train are a central aspect of the future market success of the different vehicle drive systems. An innovative two-factor experience curve approach was developed to facilitate the generation of the most meaningful cost forecasts for these components. This enables the creation of a flexible cost forecast model that supplements the two-factor experience curve approach by an analogous technology component. The performance of the model was demonstrated using alternative drive components, namely the proton exchange membrane (PEM) fuel cell stack, a high energy lithium-ion battery and a high power lithium-ion battery. A comparison of the forecast values calculated using this model with the industry targets determined by McKinsey in the study "A portfolio of power-trains for Europe" [1] shows that the realization of these targets for the fuel cell stack is possible if the product volume increases rapidly enough. For the high energy and high power lithium-ion battery targets, the product volume and research and development activity, measured here in terms of patent growth, need to grow compared to the trend of the last years. © 2012, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.

Beisheim N.,Albstadt-Sigmaringen University of Applied Sciences | Stotz F.,Albstadt-Sigmaringen University of Applied Sciences
Advanced Concurrent Engineering | Year: 2013

The paper describes a methodology to build key performance indicators (KPI) from existing product data and the advantage gained in the design and engineering process by using KPIs. With the guidance of the KPIs, developers are able to work more efficiently. Currently, KPIs only used as a controlling instrument for projects and processes. An example of a new type of KPI is the 'Standardization Degree'. The 'Standardization Degree' is calculated from a number of product data. Making use of this calculated KPI, parts or assemblies could be indicated with a special attribute. These indications would be stored in the product data management (PDM) and enterprise resource planning (ERP) system of an enterprise. Then, during future engineering processes, the developer can be guided by these indicators in the development of cost-effective carry-over part strategies for the enterprise in a meaningful and low-cost way. Hence, with the use of KPIs in the design and engineering process at the beginning of the life cycle of a product, the enterprises are able to save considerable expense. © Springer-Verlag London 2013.

Knoblauch A.,Albstadt-Sigmaringen University of Applied Sciences | Sommer F.T.,University of California at Berkeley
Frontiers in Neuroanatomy | Year: 2016

Learning and memory is commonly attributed to the modification of synaptic strengths in neuronal networks. More recent experiments have also revealed a major role of structural plasticity including elimination and regeneration of synapses, growth and retraction of dendritic spines, and remodeling of axons and dendrites. Here we work out the idea that one likely function of structural plasticity is to increase “effectual connectivity” in order to improve the capacity of sparsely connected networks to store Hebbian cell assemblies that are supposed to represent memories. For this we define effectual connectivity as the fraction of synaptically linked neuron pairs within a cell assembly representing a memory. We show by theory and numerical simulation the close links between effectual connectivity and both information storage capacity of neural networks and effective connectivity as commonly employed in functional brain imaging and connectome analysis. Then, by applying our model to a recently proposed memory model, we can give improved estimates on the number of cell assemblies that can be stored in a cortical macrocolumn assuming realistic connectivity. Finally, we derive a simplified model of structural plasticity to enable large scale simulation of memory phenomena, and apply our model to link ongoing adult structural plasticity to recent behavioral data on the spacing effect of learning. © 2016 Knoblauch and Sommer.

Lubben J.F.,Albstadt-Sigmaringen University of Applied Sciences
Fiber Society 2012 Spring Conference: Fiber Research for Tomorrow's Applications | Year: 2012

The objective of this presentation is to demonstrate the possibilities, advantages and limitations of AFM for the characterization of recently developed fibers [1, 2] and functional(ized) surfaces [3-5].

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