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The devastating impacts of climate change on our societies are currently more evident than ever. As a result, a change towards renewable energy economy is urgent and it can only be achieved through carbon sequestration and recycling. Syngas is a byproduct of biomass gasification and several industrial activities. Its high energy and carbon content due to its constituents (CO, H2 and CO2) render it an important substrate for the production of biofuels. The conversion of syngas to methane is an attractive option because of the high storage capacity of the natural gas grid. The main advantages of the biological conversion of syngas to methane over the Sabatier process are the low infrastructure cost, the mild temperature and pressure, the negligible cost of the catalyst (microbes) and the fact that there is no demand for a fixed H2/CO ratio. On the other hand, the major bottleneck is the low mass transfer rate of CO and H2 to the water based media. It has been reported, that trickle bed reactors (TBRs) provide higher gas to liquid mass transfer rates compared to the conventional stirred tanks and bubble columns and, thus, they constitute an interesting solution to the main challenge of syngas fermentation [1]. The aim of this study was to assess the efficiency of syngas biomethanation by mixed microbial consortia under mesophilic and thermophilic conditions in TBRs, maximize the concentration of methane in the gas outlet with additional H2 supply and examine the scaling up potential of the process.

vorgelegt von Mag. Martin Kaufmann, Universität Innsbruck, Diplomarbeit, 2018, (VLID)2515904

NeuroLF is a dedicated brain PET system with an octagonal prism shape housed in a scanner head that can be positioned around a patient's head. Because it does not have MR or CT capabilities, attenuation correction based on an estimation of the attenuation map is a crucial feature. In this article, we demonstrate this method on [18F]FDG PET brain scans performed with a low-resolution proof of concept prototype of NeuroLF called BPET. We perform an affine registration of a template PET scan to the uncorrected emission image, and then apply the resulting transform to the corresponding template attenuation map. Using a whole-body PET/CT system as reference, we quantitively show that this method yields comparable image quality (0.893 average correlation to reference scan) to using the reference µ-map as obtained from the CT scan of the imaged patient (0.908 average correlation). We conclude from this initial study that attenuation correction using template registration instead of a patient CT delivers similar results and is an option for patients undergoing brain PET. Keywords: Nifty-Reg; PET; STIR; attenuation correction; brain; image reconstruction; registration; tomography.

Mit den von HAP Grieshaber geliebten Carmina Burana und einer Multimediapräsentation, gestaltet von Martin Kaufmann, begann am 19. Juli die Eröffnung der Ausstellung von Andrucken HAP Grieshabers zu seiner Dresdner Ausgabe des Basler Totentanzes (20. Juli bis 29. September 2007).

Mit den von HAP Grieshaber geliebten Carmina Burana und einer Multimediapräsentation, gestaltet von Martin Kaufmann, begann am 19. Juli die Eröffnung der Ausstellung von Andrucken HAP Grieshabers zu seiner Dresdner Ausgabe des Basler Totentanzes (20. Juli bis 29. September 2007).

This paper presents'Lab@Future', an advanced e-learning platform that uses novel Information and Communication Technologies to support and expand laboratory teaching practices. For this purpose, Lab@Future uses real and computer-generated objects that are interfaced using mechatronic systems,augmented reality, mobile technologies and 3D multi user environments. The main aim is to develop and demonstrate technological support for practical experiments in the following focused subjects namely: Fluid Dynamics -Science subject in Germany, Geometry - Mathematics subject in Austria,History and Environmental Awareness - Arts and Humanities subjects in Greece and Slovenia. In order to pedagogically enhance the design and functional aspects of this e-learning technology, we are investigating the dialogical operationalisation of learning theories so as to leverage our understanding of teaching and learning practices in the targeted context of deployment.

This paper presents Lab@Future, an advanced e-learning platform that uses novel Information and Communication Technologies to support and expand laboratory teaching practices. For this purpose, Lab@Future uses real and computer-generated objects that are interfaced using mechatronic systems, augmented reality, mobile technologies and 3D multi user environments. The main aim is to develop and demonstrate technological support for practical experiments in the following focused subjects namely: Fluid Dynamics - Science subject in Germany, Geometry - Mathematics subject in Austria, History and Environmental Awareness – Arts and Humanities subjects in Greece and Slovenia. In order to pedagogically enhance the design and functional aspects of this e-learning technology, we are investigating the dialogical operationalisation of learning theories so as to leverage our understanding of teaching and learning practices in the targeted context of deployment.

This paper presents Lab@Future, an advanced e-learning platform that uses novel Information and Communication Technologies to support and expand laboratory teaching practices. For this purpose, Lab@Future uses real and computer-generated objects that are interfaced using mechatronic systems, augmented reality, mobile technologies and 3D multi user environments. The main aim is to develop and demonstrate technological support for practical experiments in the following focused subjects namely: Fluid Dynamics - Science subject in Germany, Geometry - Mathematics subject in Austria, History and Environmental Awareness – Arts and Humanities subjects in Greece and Slovenia. In order to pedagogically enhance the design and functional aspects of this e-learning technology, we are investigating the dialogical operationalisation of learning theories so as to leverage our understanding of teaching and learning practices in the targeted context of deployment.