32 research outputs found

    Simplified approach to the application of the geometric collective model

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    The predictions of the geometric collective model (GCM) for different sets of Hamiltonian parameter values are related by analytic scaling relations. For the quartic truncated form of the GCM -- which describes harmonic oscillator, rotor, deformed gamma-soft, and intermediate transitional structures -- these relations are applied to reduce the effective number of model parameters from four to two. Analytic estimates of the dependence of the model predictions upon these parameters are derived. Numerical predictions over the entire parameter space are compactly summarized in two-dimensional contour plots. The results considerably simplify the application of the GCM, allowing the parameters relevant to a given nucleus to be deduced essentially by inspection. A precomputed mesh of calculations covering this parameter space and an associated computer code for extracting observable values are made available through the Electronic Physics Auxiliary Publication Service. For illustration, the nucleus 102Pd is considered.Comment: RevTeX 4, 15 pages, to be published in Phys. Rev.

    Problems and consequences of aging societies. Theoretical considerations, methodological issues and empirical analyses

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    Dieser Band versammelt BeitrĂ€ge zu verschiedenen grundlegenden Problemen, welche nachhaltig alternde Gesellschaften mit sich bringen. Die einzelnen Artikel entstanden im Rahmen des Forschungspraktikums im Fach Bevölkerungswissenschaft an der UniversitĂ€t Bamberg. Die ersten beiden BeitrĂ€ge beschĂ€ftigen sich mit der selbstberichteten Gesundheit. Der erste Beitrag thematisiert die subjektive Gesundheit in AbhĂ€ngigkeit vom Übergang in den Ruhestand. Im zweiten Beitrag stehen mit der internationalen Vergleichbarkeit subjektiver Gesundheitsmessung methodische Aspekte im Vordergrund. Der dritte Beitrag beschĂ€ftigt sich mit geschlechtsspezifischen Aspekten intergenerationaler Hilfeleistungen. Diese aktuellen sozialwissenschaftlichen Fragestellungen werden anhand der Daten der ersten beiden Wellen des Survey of Health, Ageing and Retirement in Europe (SHARE) empirisch untersucht.This volume brings together selected contributions on fundamental challenges of population ageing. All of the articles evolved from an empirical research training course in population studies at the University of Bamberg. The first two contributions deal with self-perceived health measures. The first article analyses the effect of transition into retirement on self-perceived health. The second contribution focuses on methodological issues concerning the comparability of self-perceived health and discusses different strategies to account for cross-national variation in scaling subjective health. The last contribution deals with gender-related aspects of intergenerational transfers. These up-to-date research questions are empirically investigated using the first two waves of the Survey of Health, Ageing and Retirement in Europe (SHARE)

    Glucocorticoids—All-Rounders Tackling the Versatile Players of the Immune System

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    Glucocorticoids regulate fundamental processes of the human body and control cellular functions such as cell metabolism, growth, differentiation, and apoptosis. Moreover, endogenous glucocorticoids link the endocrine and immune system and ensure the correct function of inflammatory events during tissue repair, regeneration, and pathogen elimination via genomic and rapid non-genomic pathways. Due to their strong immunosuppressive, anti-inflammatory and anti-allergic effects on immune cells, tissues and organs, glucocorticoids significantly improve the quality of life of many patients suffering from diseases caused by a dysregulated immune system. Despite the multitude and seriousness of glucocorticoid-related adverse events including diabetes mellitus, osteoporosis and infections, these agents remain indispensable, representing the most powerful, and cost-effective drugs in the treatment of a wide range of rheumatic diseases. These include rheumatoid arthritis, vasculitis, and connective tissue diseases, as well as many other pathological conditions of the immune system. Depending on the therapeutically affected cell type, glucocorticoid actions strongly vary among different diseases. While immune responses always represent complex reactions involving different cells and cellular processes, specific immune cell populations with key responsibilities driving the pathological mechanisms can be identified for certain autoimmune diseases. In this review, we will focus on the mechanisms of action of glucocorticoids on various leukocyte populations, exemplarily portraying different autoimmune diseases as heterogeneous targets of glucocorticoid actions: (i) Abnormalities in the innate immune response play a crucial role in the initiation and perpetuation of giant cell arteritis (GCA). (ii) Specific types of CD4+ T helper (Th) lymphocytes, namely Th1 and Th17 cells, represent important players in the establishment and course of rheumatoid arthritis (RA), whereas (iii) B cells have emerged as central players in systemic lupus erythematosus (SLE). (iv) Allergic reactions are mainly triggered by several different cytokines released by activated Th2 lymphocytes. Using these examples, we aim to illustrate the versatile modulating effects of glucocorticoids on the immune system. In contrast, in the treatment of lymphoproliferative disorders the pro-apoptotic action of glucocorticoids prevails, but their mechanisms differ depending on the type of cancer. Therefore, we will also give a brief insight into the current knowledge of the mode of glucocorticoid action in oncological treatment focusing on leukemia

    The impact of signal-to-noise ratio, diffusion-weighted directions and image resolution in cardiac diffusion tensor imaging - insights from the ex-vivo rat heart

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    Background: Cardiac diffusion tensor imaging (DTI) is limited by scan time and signal-to-noise (SNR) restrictions. This invariably leads to a trade-off between the number of averages, diffusion-weighted directions (ND), and image resolution. Systematic evaluation of these parameters is therefore important for adoption of cardiac DTI in clinical routine where time is a key constraint. Methods: High quality reference DTI data were acquired in five ex-vivo rat hearts. We then retrospectively set 2 ≀ SNR ≀ 97, 7 ≀ ND ≀ 61, varied the voxel volume by up to 192-fold and investigated the impact on the accuracy and precision of commonly derived parameters. Results: For maximal scan efficiency, the accuracy and precision of the mean diffusivity is optimised when SNR is maximised at the expense of ND. With typical parameter settings used clinically, we estimate that fractional anisotropy may be overestimated by up to 13% with an uncertainty of ±30%, while the precision of the sheetlet angles may be as poor as ±31°. Although the helix angle has better precision of ±14°, the transmural range of helix angles may be under-estimated by up to 30° in apical and basal slices, due to partial volume and tapering myocardial geometry. Conclusions: These findings inform a baseline of understanding upon which further issues inherent to in-vivo cardiac DTI, such as motion, strain and perfusion, can be considered. Furthermore, the reported bias and reproducibility provides a context in which to assess cardiac DTI biomarkers

    CO-EVOLUTION PATH MODEL (CePM): SUSTAINING ENTERPRISES AS COMPLEX SYSTEMS ON THE EDGE OF CHAOS

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    The purpose of this study is primarily theoretical—to propose and detail a model for system evolution and show its derivation from the fields of enterprise architecture (EA), cybernetics, and systems theory. Cybernetic thinking is used to develop the coevolution path model (CePM) to explain how enterprises coevolve with their envir-onments. The model reinterprets Ashby’s law of requisite variety, Stafford Beer’s viable system model, and Conant and Ashby’s theorem of the ‘‘good regulator’ ’ to exemplify how various complexity management theories could be synthesized into a cybernetic theory of EA—informingmanagement of mechanisms to maintain harmony Address correspondence to Madjid Tavana, Business Systems and Analytics Department, Lindback Distinguished Chair of Information Systems and Decision Sciences, La Sall
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