Economic Resilience of German Lignite Regions in Transition

This paper recalls the development of the German lignite regions Rhineland and Lusatia since 1945 to allow for a better understanding of their situation in 2019. We analyze their economic resilience, defined as adaptive capacity, using Holling’s adaptive cycle model. We find that the Rhineland is currently in the conservation phase, while Lusatia experiences a reorganization phase following the economic shock of the German reunification. Key policy recommendations for the upcoming coal phase-out are to foster innovation within the Rhineland’s infrastructures to avoid overconnection, and to expand digital and transportation infrastructure in Lusatia so that the structurally weak region can enter the exploitation phase. Future policymaking should take into consideration the differences between the two regions in order to enable a just and timely transition during which lasting adaptive capacity can be built.BMBF, 01LN1704A, Nachwuchsgruppe Globaler Wandel: CoalExit - Die Ökonomie des Kohleausstiegs - Identifikation von Bausteinen für Rahmenpläne zukünftiger regionaler StrukturwandelDFG, 414044773, Open Access Publizieren 2019 - 2020 / Technische Universität Berli

A novel alveolar Krebs cycle-triggered CO2 sensing mechanism regulates regional pulmonary ventilation.

Pulmonary perfusion disorders provoke atelectasis in order to minimize ventilation/perfusion mismatch. However, the underlying mechanisms remain unknown. Because intraalveolar CO2 concentration ([CO2]iA) declines as a consequence of poor pulmonary perfusion we postulated the existence a novel alveolar CO2-sensing mechanism which adapts the ventilation to perfusion. Real-time fluorescence imaging of rat lungs revealed that low [CO2]iA decreased cytosolic and increased mitochondrial Ca2+ in alveolar epithelial cells (AEC), leading to reduction of surfactant secretion and alveolar ventilation. Mitochondrial inhibition by ruthenium red or rotenone blocked the hypocapnia-induced responses. In cultured Type 2 AEC hypocapnia decreased cytosolic Ca2+ independently from pH and increased the NADH production, the mitochondrial transmembrane potential, and subsequently the mitochondrial Ca2+ uptake. All responses were completely blocked by the gene knockdown of the NADH producing Krebs cycle enzyme isocitrate dehydrogenase. Furthermore, ligature of the pulmonary artery of rabbits decreased alveolar ventilation, surfactant secretion, and lung compliance. Addition of 5% CO2 to the inspiratory gas inhibited all responses. Accordingly, we provide evidence for a novel CO2-sensing mechanism of AEC regulated by the Krebs cycle activity in terms of a negative feedback loop adapting surfactant secretion and thus regional ventilation to pulmonary perfusion

The Influence of Signaling Conspecific and Heterospecific Neighbors on Eavesdropper Pressure

The study of tradeoffs between the attraction of mates and the attraction of eavesdropping predators and parasites has generally focused on a single species of prey, signaling in isolation. In nature, however, animals often signal from mixed-species aggregations, where interactions with heterospecific group members may be an important mechanism modulating tradeoffs between sexual and natural selection, and thus driving signal evolution. Although studies have shown that conspecific signalers can influence eavesdropper pressure on mating signals, the effects of signaling heterospecifics on eavesdropper pressure, and on the balance between natural and sexual selection, are likely to be different. Here, we review the role of neighboring signalers in mediating changes in eavesdropper pressure, and present a simple model that explores how selection imposed by eavesdropping enemies varies as a function of a signaling aggregation\u27s species composition, the attractiveness of aggregation members to eavesdroppers, and the eavesdroppers\u27 preferences for different member types. This approach can be used to model mixed-species signaling aggregations, as well as same-species aggregations, including those with non-signaling individuals, such as satellites or females. We discuss the implications of our model for the evolution of signal structure, signaling behavior, mixed-species aggregations, and community dynamics

Brexit, the 2019 General Election and the Realignment of British Politics

The outcome of the 2019 general election—a resounding Conservative majority and an unprecedented defeat for Labour—delivered a decisive electoral verdict for the first time in recent years following a period where British politics has been characterised by instability and indecision. In this article, we draw on aggregate-level data to conduct an initial exploration of the vote. What was the impact of Brexit on the 2019 general election result? How far has Brexit reshaped electoral politics? Was 2019 a ‘realignment election’? And, if so, what are the implications? With a focus on England and Wales we show that, although the Conservatives made gains deep into Labour’s working class heartlands, these gains have been a long time coming, reflected in Labour’s weakening relationship with working class Britain. As such, 2019 is not a critical election but a continuation of longer-term trends of dealignment and realignment in British politics

Genomic distribution of a novel Pyrenophora tritici-repentis ToxA insertion element

© 2018 Moolhuijzen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The ToxA effector is a major virulence gene of Pyrenophora tritici-repentis (Ptr), a necrotrophic fungus and the causal agent of tan spot disease of wheat. ToxA and co-located genes are believed to be the result of a recent horizontally transferred highly conserved 14kb region a major pathogenic event for Ptr. Since this event, monitoring isolates for pathogenic changes has become important to help understand the underlying mechanisms in play. Here we examined ToxA in 100 Ptr isolates from Australia, Europe, North and South America and the Middle East, and uncovered in isolates from Denmark, Germany and New Zealand a new variation, a novel 166 bp insertion element (PtrHp1) which can form a perfectly matched 59 bp inverted repeat hairpin structure located downstream of the ToxA coding sequence in the 3' UTR exon. A wider examination revealed PtrHp1 elements to be distributed throughout the genome. Analysis of genomes from Australia and North America had 50-112 perfect copies that often overlap other genes. The hairpin element appears to be unique to Ptr and the lack of ancient origins in other species suggests that PtrHp1 emerged after Ptr speciation. Furthermore, the ToxA UTR insertion site is identical for different isolates, which suggests a single insertion event occurred after the ToxA horizontal transfer. In vitro and in planta-detached leaf assays found that the PtrHp1 element insertion had no effect on ToxA expression. However, variation in the expression of ToxA was detected between the Ptr isolates from different demographic locations, which appears to be unrelated to the presence of the element. We envision that this discovery may contribute towards future understanding of the possible role of hairpin elements in Ptr

Projecte per a la millora i la recuperació de l'hàbitat de la Muntanyeta Vella per a l'ús ecoturístic i sociocultural al municipi d'Alberic

Oliver Lázaro, P. (2010). Projecte per a la millora i la recuperació de l'hàbitat de la Muntanyeta Vella per a l'ús ecoturístic i sociocultural al municipi d'Alberic. Universitat Politècnica de València. http://hdl.handle.net/10251/9853Archivo delegad

Why use component-based methods in sensory science?

This paper discusses the advantages of using so-called component-based methods in sensory science. For instance, principal component analysis (PCA) and partial least squares (PLS) regression are used widely in the field; we will here discuss these and other methods for handling one block of data, as well as several blocks of data. Component-based methods all share a common feature: they define linear combinations of the variables to achieve data compression, interpretation, and prediction. The common properties of the component-based methods are listed and their advantages illustrated by examples. The paper equips practitioners with a list of solid and concrete arguments for using this methodology.publishedVersio