A multi-regional input-output framework to evaluate European energy policies

Die Europäische Union startete mit ihren Energiestrategien 2020, 2030 und 2050 einen grundlegenden Transformationsprozess, um in allen Mitgliedsländern langfristig wettbewerbsfähige Volkswirtschaften zu etablieren. Diese ambitionierten Klimaziele gehen mit umfangreichen Ausbauzielen für erneuerbare sowie CO2-arme Technologien einher. Der in dieser Arbeit entwickelte komparativ-statische Modellansatz ermöglicht eine Analyse von länderübergreifenden Effekten eines Technologiewechsels in den Stromsektoren von Österreich, Deutschland und Frankreich. Dafür wird ein multi-regionales multi-sektorales Input-Output Modell mit dem Elektrizitätssektormodell ATLANTIS gekoppelt. Der traditionelle Modell-Ansatz wurde um einen Ersatzinvestitions- und einen Konsumkreislauf erweitert, um alle langfristigen Effekte abzudecken. Der Elektrizitätssektor wird anhand eines umfassenden Ansatzes in verschiedene Einzeltechnologien zerlegt. Darauf aufbauend werden basierend auf den Änderungen in den Marktanteilen die Effekte eines Technologiewechsels innerhalb des Stromsektors simuliert. Die Ergebnisse zeigen in Österreich eine steigende lokale Nachfrage sowie eine sinkende Importnachfrage und einen exakt gegenteilige Effekt in Frankreich. In Deutschland sinken sowohl die lokale Nachfrage als auch die Importnachfrage nach Gütern. Außerdem reduziert sich die Beschäftigung in allen drei Regionen im Stromsektor. Es entstehenden leicht positive Produktionseffekte in Österreich, China und im Sektor der elektrischen und optischen Erzeugnisse. In allen anderen Regionen sowie Sektoren entstehen leicht negative Produktionseffekte. Positive Wertschöpfungseffekte entstehen in Deutschland und im Elektrizitätssektor, wohingegen positive Beschäftigungseffekte in China sowie im Sektor der Erzeugung von elektrischen und optischen Produkte auftreten. In den Primärenergie-liefernden Ländern sowie -produzierenden Sektoren entstehen in allen Bereichen leicht negative Effekte.The European Union began with the implementation of its comprehensive energy strategies 2020, 2030 and 2050, a profound transition process to establish competitive low-carbon economies. The ambitious climate change goals go hand in hand with several expansion policies of low-carbon production technologies including renewable energy sources and low-emission production technologies in the power sectors. However, this thesis provides a comparative-static model approach, which is capable of analysing the potential inter-regional effects caused by a technology switch in the electricity sectors of Austria, Germany and France by coupling a multi-regional multi-sectoral input output model with the electricity sector model ATLANTIS. Besides the traditional Leontief demand cycle, the model approach realizes a replacement-investment cycle and a consumption cycle to fully cover long-term effects. Since the energy sector is of a very heterogeneous nature, a technology definition approach splits the sector into several production technologies. A market share based technology switch approach then simulates the effects of a structural change in the sector. The results show that an energy transition increases domestic demand while decreasing the import demand in Austria. The opposite can be observed in France while Germany faces a decreased domestic as well as import demand. The employment within the electricity sector decreases in all three regions. Only Austria and China face slightly positive output effects as well as the sector which produces electrical and optical equipment. In all other regions and sectors emerge slightly negative effects. In terms of value added Germany and the electricity sector itself face positive impacts whereas China, along with the sector of electrical and optical production face only positive employment effects. Finally yet importantly, the primary energy delivering regions and the primary energy producing sectors face slightly negative effects.Mag. Gerald FeichtingerZusammenfassung in deutscher und in englischer SpracheKarl-Franzens-Universität Graz, Dissertation, 2017OeBB(VLID)224606

Kernel theorems in coorbit theory

We prove general kernel theorems for operators acting between coorbit spaces. These are Banach spaces associated to an integrable representation of a locally compact group and contain most of the usual function spaces (Besov spaces, modulation spaces, etc.). A kernel theorem describes the form of every bounded operator between a coorbit space of test functions and distributions by means of a kernel in a coorbit space associated to the tensor product representation. As special cases we recover Feichtinger's kernel theorem for modulation spaces and the recent generalizations by Cordero and Nicola. We also obtain a kernel theorem for operators between the Besov spaces $\dot{B}^0_{1,1}$ and $\dot{B}^{0}_{\infty, \infty }$

1H, 13C, 15N resonance assignment of human YAP 50–171 fragment

Yes associated protein (YAP) is an intrinsically disordered protein that plays a major role in the Hippo pathway, regulating organ size, cell proliferation, apoptosis, and is associated with cancer development. Therefore, the binding between YAP and TEAD is an interesting target for cancer therapy. The TEAD binding domain of YAP was mapped to protein residues 50–171. To obtain further structural insights into this 12 kDa segment of YAP, we report a backbone and a partial sidechain assignment of recombinant YAP 50–171.© The Author(s) 201

Late metabolic precursors for selective aromatic residue labeling

In recent years, we developed a toolbox of heavy isotope containing compounds, which serve as metabolic amino acid precursors in the E. coli-based overexpression of aromatic residue labeled proteins. Our labeling techniques show excellent results both in terms of selectivity and isotope incorporation levels. They are additionally distinguished by low sample production costs and meet the economic demands to further implement protein NMR spectroscopy as a routinely used method in drug development processes. Different isotopologues allow for the assembly of optimized protein samples, which fulfill the requirements of various NMR experiments to elucidate protein structures, analyze conformational dynamics, or probe interaction surfaces. In the present article, we want to summarize the precursors we developed so far and give examples of their special value in the probing of protein–ligand interaction.© The Author(s) 201