Why do SGLT2 inhibitors reduce heart failure hospitalization? A differential volume regulation hypothesis

The effect of a sodium glucose cotransporter 2 inhibitor (SGLT2i) in reducing heart failure hospitalization in the EMPA-REG OUTCOMES trial has raised the possibility of using these agents to treat established heart failure. We hypothesize that osmotic diuresis induced by SGLT2 inhibition, a distinctly different diuretic mechanism than other diuretic classes, results in greater electrolyte-free water clearance, and ultimately in greater fluid clearance from the interstitial fluid (IF) space than from the circulation, potentially resulting in congestion relief with minimal impact on blood volume, arterial filling, and organ perfusion. We utilize a mathematical model to illustrate that electrolyte-free water clearance results in a greater reduction in IF volume compared to blood volume, and that this difference may be mediated by peripheral sequestration of osmotically inactive sodium. By coupling the model with data on plasma and urinary sodium and water in healthy subjects administered either the SGLT2i dapagliflozin or loop diuretic bumetanide, we predict that dapagliflozin produces a 2-fold greater reduction in IF volume compared to blood volume, while the reduction in IF volume with bumetanide is only 78% of the reduction in blood volume. Heart failure is characterized by excess fluid accumulation, in both the vascular compartment and interstitial space, yet many heart failure patients have arterial underfilling due to low cardiac output, which may be aggravated by conventional diuretic treatment. Thus, we hypothesize that by reducing IF volume to a greater extent than blood volume, SGLT2 inhibitors might provide better control of congestion without reducing arterial filling and perfusion

Precision of a Small Brew House by Determining the Repeatability of Different Brews to Guarantee the Product Stability of the Beer

The most important success factors of a brewery are to brew a high-standard beer and to sell this product successfully on the market. Especially, guaranteeing an objective product quality is a difficult task, in terms of beer quality, for craft brewers. Following these product stability parameters is not only necessary to secure the expiry date but also with regard to the repeatability of the brews (from batch to batch). To evaluate the precision of a small brew house (1 hL), three different beer types, lager beer (Pilsener), pale ale (Kölsch), and wheat beer (Weißbier) were repeatedly produced and analyzed. It was found that small fluctuations in the wort preparation, in terms of time or analysis, have no noticeable difference on the sensory characteristics of the final product. Nevertheless, strict adherence to the brew recipe and raw material monitoring are necessary in order to keep these deviations as minimal as possible. Finally, this study verified that microbrews can be repeated so that the consumers will not detect any differences with their five senses in the end

The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification

We use a combination of measures of spatial concentration, qualitative input-output analysis and innovation interaction matrices to identify the horizontal and vertical dimension of industrial clusters in Saxony in 2005. We describe the spatial allocation of the industrial clusters and show possibilities of vertical interaction of clusters based on intermediate goods flows. With the help of region and sector-specific knowledge interaction matrices we are able to show that a sole focus on intermediate goods flows limits the identification of innovative actors in industrial clusters, as knowledge flows and intermediate goods flows do not show any major overlaps.industrial clusters, qualitative input-output-analysis, innovation interaction matrix

Spillover Effects of Spatial Growth Poles - a Reconciliation of Conflicting Policy Targets?

Regional economic policy faces the challenge of two competing policy goals - reducing regional economic disparities vs. promoting economic growth. The allocation of public funds has to weigh these goals particularly under the restriction of scarce financial re- sources. If, however, some region turns out to be a regional growth pole with positive spillovers to its disadvantaged periphery, regional policies could be designed to recon- cile the conflicting targets. In this case, peripheral regions could indirectly participate in the economic development of their growing cores. We start our investigation by defining and identifying such growth poles among German regions on the NUTS 3 administrative level based on spatial and sectoral effects. Using cluster analysis, we determine significant characteristics for the general identification of growth poles. Patterns in the sectoral change are identified by means of the change in the employment. Finally, we analyze whether and to what extent these growth poles ex- ert spatial spillover effects on neighbouring regions and thus mitigate contradictory in- terests in regional public policy. For this purpose, we apply a Spatial-Cross-Regressive- Model (SCR-Model) including the change in the secondary sector which allows to con- sider functional economic relations on the administrative level chosen (NUTS 3).size and spatial distributions of regional economic activity, cross-sectional models, spatial models, treatment effect models, regional analyses, urban analyses, rural analyses

Related Variety, Unrelated Variety and Regional Functions: Identifying Sources of Regional Employment Growth in Germany from 2003 to 2008

This article analyses how regional employment growth in Germany is affected by related variety, unrelated variety and the functions a region performs in the production process. Following the related variety literature, we argue that regions benefit from the existence of related activities that facilitate economic development. However, we argue that the sole reliance of related variety on standard industrial classifications remains debatable. Hence, we offer estimations for establishing that conceptual progress can indeed be made when a focus for analysis goes beyond solely considering industries. We develop an industry-function based approach of related and unrelated variety. Our findings suggest that related variety only in combination with a high functional specialization of the region facilitates regional growth in Germany. Additionally, also unrelated variety per se fails to wield influences affecting development of regions. It is rather unrelated, but functionally proximate variety in the groups “White Collar” and “Blue Collar Workers” positively affects regional employment growth.related variety, unrelated variety, regional functions, functional specialization

The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis

The ‘cluster theory’ has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most studies focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations within a value-adding chain is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of Minimal Flow Analysis by Schnabl (1994). The regionalization of these national industry templates is carried out with the allocation of branch-specific production values on regional employment. As a result, the paper shows concentrations of vertical clusters in only 27 of 439 German NUTS-3 regions.industrial clusters, qualitative input-output analysis, vertical linkages

Mapping Local and Regional Potentials for Inter-sectoral Technology Flows in Industrial Clusters – Empirical Results for Germany

The paper explores the potential for inter-sectoral technology flows in industrial clusters in Germany. With the help of a product-embodied R&D flow matrix, calculated using data on input–output tables and sectoral R&D employment, we construct industrial cluster based networks of technology provider and user relationships and examine the regional embeddedness of different sectors in the technological diffusion network of industrial clusters. As a result, the paper shows that simple graphical representations of relevant product-embodied R&D flows illustrate substantial differences in potentials for technological relations within industrial clusters.

Marita Baumgarten: Professoren und Universitäten im 19. Jahrhundert. Zur Sozialgeschichte deutscher Geistes- und Naturwissenschaftler. (Kritische Studien zur Geschichtswissenschaft. Bd. 121.) Göttingen Vandenhoeck & Ruprecht 1997. [Rezension]

Rezension von: Marita Baumgarten: Professoren und Universitäten im 19. Jahrhundert. Zur Sozialgeschichte deutscher Geistes- und Naturwissenschaftler. (Kritische Studien zur Geschichtswissenschaft. Bd. 121.) Göttingen Vandenhoeck & Ruprecht 1997. 376 S

Coherent and Incoherent Dynamics of Quasiparticles in Monolayer Molybdenum Diselenide

Monolayer Materials, especially single-layer graphite, called graphene, as the first synthesized and most prominent representative, have attracted significant research interest since its discovery in 2004. The efforts were rewarded with a Nobel prize in 2010 for the discovery of graphene, the same year in which the first monolayer transition metal dichalcogenide (ML-TMD) was found to have a direct bandgap. In contrast to graphene ML-TMDs have a direct bandgap in the visible or near-infrared spectral range, making them ideally suited for optoelectronic device applications. Explicit inversion symmetry breaking of the unit cell in ML-TMDs furthermore leads to a new interesting property, called valley pseudo-spin. Electrons excited within one valley are restricted to this valley due to momentum trapping. Investigating the valley pseudo-spin dynamics is of importance for both understanding of the fundamental physics as well as device applications since the valley pseudo-spin is a potential information carrier and has potential use for information storage or computing application. Additionally, the confinement to two dimensions leads to enhanced Coulomb interaction and increased dielectric screening between electron and hole. Interestingly, the two-dimensional screening effects were already studied before the first two-dimensional materials were synthesized on quasi-two-dimensional systems. The screening of the Coulomb interaction in turn leads to a significantly increased binding energy between electron and hole, such that the bound electron-hole state, so-called exciton, is stable up to room temperature and above. The same reasoning leads to an enhanced stability of charged excitons, so-called trions, which are the main focus of this dissertation. The optical response of ML-TMDs is therefore completely dominated by excitons and trions, requiring an in-depth understanding of these quasiparticles for device performance optimization. Time-resolved techniques can offer rich information compared to steady-state measurements. While steady-state measurements can resolve things such as the bandgap of a semiconductor or the fact that valley spin exists, time-resolved techniques allow the access of transients and reveal the lifetime of unstable or metastable states, which may be invisible in steady-state measurements. Coherent techniques are known for their ability of probing many-body effects and microscopic inhomogeneity. The technique used to investigate the coherent trion dynamics in this dissertation is two-dimensional coherent spectroscopy, a nonlinear coherent technique, that resolves the signal as a function of two time delays. Using two-dimensional spectroscopy, it is possible to measure the homogeneous linewidth, which is related to the coherence time, even in a strongly inhomogeneously broadened system. The measurement of the coherence time marks the first step in evaluating a material for possible quantum computation applications