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Ausências Brasil
(2014)
Von der Militärdiktatur ermordet und spurlos verschwunden – diese Ausstellung greift zurück auf Fotoalben der Familienangehörigen von Brasilianern, die der systematischen Repression, Folter und Verschleppung der brasilianischen Militärdiktatur (1964–1985) zum Opfer gefallen sind: Arbeiter, Stadtguerilleros, Studenten, Akademiker, ganze Familien.
Die vorliegende Veröffentlichung gibt die Ergebnisse einer Befragung von 1247 Studierenden der Universität Potsdam zu deren Mediennutzungsgewohnheiten wieder. Von besonderem Interesse war die Nutzung digitaler Medien im Kontext des Studiums. Die Untersuchung basiert auf einer Reihe gleichartiger Forschungsarbeiten des Karlsruher Instituts für Technologie (KIT), die an mehreren deutschen Hochschulen durchgeführt wurde.
Ausprägungen räumlicher Identität in ehemaligen sudetendeutschen Gebieten der Tschechischen Republik
(2014)
Das tschechische Grenzgebiet ist eine der Regionen in Europa, die in der Folge des Zweiten Weltkrieges am gravierendsten von Umbrüchen in der zuvor bestehenden Bevölkerungsstruktur betroffen waren. Der erzwungenen Aussiedlung eines Großteils der ansässigen Bevölkerung folgten die Neubesiedlung durch verschiedenste Zuwanderergruppen sowie teilweise langanhaltende Fluktuationen der Einwohnerschaft. Die Stabilisierung der Bevölkerung stand sodann unter dem Zeichen der sozialistischen Gesellschafts- und Wirtschaftsordnung, die die Lebensweise und Raumwahrnehmung der neuen Einwohner nachhaltig prägte. Die Grenzöffnung von 1989, die politische Transformation sowie die Integration der Tschechischen Republik in die Europäische Union brachten neue demographische und sozioökonomische Entwicklungen mit sich. Sie schufen aber auch die Bedingungen dafür, sich neu und offen auch mit der spezifischen Geschichte des ehemaligen Sudetenlandes sowie mit dem Zustand der gegenwärtigen Gesellschaft in diesem Gebiet auseinanderzusetzen.
Im Rahmen der vorliegenden Arbeit wird anhand zweier Beispielregionen untersucht, welche Raumvorstellungen und Raumbindungen bei der heute in den ehemaligen sudetendeutschen Gebieten ansässigen Bevölkerung vorhanden sind und welche Einflüsse die unterschiedlichen raumstrukturellen Bedingungen darauf ausüben. Besonderes Augenmerk wird auf die soziale Komponente der Ausprägung räumlicher Identität gelegt, das heißt auf die Rolle von Bedeutungszuweisungen gegenüber Raumelementen im Rahmen sozialer Kommunikation und Interaktion. Dies erscheint von besonderer Relevanz in einem Raum, der sich durch eine gewisse Heterogenität seiner Einwohnerschaft hinsichtlich ihres ethnischen, kulturellen beziehungsweise biographischen Hintergrundes auszeichnet. Schließlich wird ermittelt, welche Impulse unter Umständen von einer ausgeprägten räumlichen Identität für die Entwicklung des Raumes ausgehen.
Vor allem leer. Und doch ist der Negev gespickt mit Siedlungen und Städten. Etwa 800.000 Menschen leben hier von Landwirtschaft, Schwerindustrie, Tourismus und Militär. Wie vor Jahrtausenden siedeln dort Beduinen. Netanjahus Regierung will 40.000 von ihnen umsiedeln. Das führte im Dezember 2013 zum „Tag des Zorns“ von Beduinen, Arabern und Palästinensern.
Arsenic-containing hydrocarbons (AsHC) constitute one group of arsenolipids that have been identified in seafood. In this first in vivo toxicity study for AsHCs, we show that AsHCs exert toxic effects in Drosophila melanogaster in a concentration range similar to that of arsenite. In contrast to arsenite, however, AsHCs cause developmental toxicity in the late developmental stages of Drosophila melanogaster. This work illustrates the need for a full characterisation of the toxicity of AsHCs in experimental animals to finally assess the risk to human health related to the presence of arsenolipids in seafood.
Die jüdische Reformbewegung veränderte nicht nur den liturgischen Ablauf des Gottesdienstes, sondern wirkte sich auch auf das Synagogengebäude aus, in das nun Orgel, Chor und Predigtkanzel als neue Elemente integriert wurden. Nach dem Seesener Jacobstempel (1810) adaptierte man die neuen Ideen in Berlin und anderen Städten, so dass eine eigene Typologie von Reformsynagogen entstand. Ende des 19. Jahrhunderts repräsentierten Synagogen deutlich den Integrationswillen der jüdischen Gemeinden. Die vielbeachteten Wettbewerbsbeiträge für neue großstädtische Synagogenbauten zeigten die unterschiedlichen Möglichkeiten zur Einbeziehung von Orgel und Chor im Innenraum. Die vorgestellten Beispiele führen so die allgemeine Entwicklung der Synagogenarchitektur und die verschiedenartigen Ausprägungen der „Orgelsynagoge“ im Besonderen exemplarisch vor und zeigen, wie die musikalisch durchkomponierte Liturgie mit der neuen „Komposition“ des Synagogenraumes korrespondierte.
Modern microscopic techniques following the stochastic motion of labelled tracer particles have uncovered significant deviations from the laws of Brownian motion in a variety of animate and inanimate systems. Such anomalous diffusion can have different physical origins, which can be identified from careful data analysis. In particular, single particle tracking provides the entire trajectory of the traced particle, which allows one to evaluate different observables to quantify the dynamics of the system under observation. We here provide an extensive overview over different popular anomalous diffusion models and their properties. We pay special attention to their ergodic properties, highlighting the fact that in several of these models the long time averaged mean squared displacement shows a distinct disparity to the regular, ensemble averaged mean squared displacement. In these cases, data obtained from time averages cannot be interpreted by the standard theoretical results for the ensemble averages. Here we therefore provide a comparison of the main properties of the time averaged mean squared displacement and its statistical behaviour in terms of the scatter of the amplitudes between the time averages obtained from different trajectories. We especially demonstrate how anomalous dynamics may be identified for systems, which, on first sight, appear to be Brownian. Moreover, we discuss the ergodicity breaking parameters for the different anomalous stochastic processes and showcase the physical origins for the various behaviours. This Perspective is intended as a guidebook for both experimentalists and theorists working on systems, which exhibit anomalous diffusion.
ANG-2 for quantitative Na+ determination in living cells by time-resolved fluorescence microscopy
(2014)
Sodium ions (Na+) play an important role in a plethora of cellular processes, which are complex and partly still unexplored. For the investigation of these processes and quantification of intracellular Na+ concentrations ([Na+]i), two-photon coupled fluorescence lifetime imaging microscopy (2P-FLIM) was performed in the salivary glands of the cockroach Periplaneta americana. For this, the novel Na+-sensitive fluorescent dye Asante NaTRIUM Green-2 (ANG-2) was evaluated, both in vitro and in situ. In this context, absorption coefficients, fluorescence quantum yields and 2P action cross-sections were determined for the first time. ANG-2 was 2P-excitable over a broad spectral range and displayed fluorescence in the visible spectral range. Although the fluorescence decay behaviour of ANG-2 was triexponential in vitro, its analysis indicates a Na+-sensitivity appropriate for recordings in living cells. The Na+-sensitivity was reduced in situ, but the biexponential fluorescence decay behaviour could be successfully analysed in terms of quantitative [Na+]i recordings. Thus, physiological 2P-FLIM measurements revealed a dopamine-induced [Na+]i rise in cockroach salivary gland cells, which was dependent on a Na+-K+-2Cl− cotransporter (NKCC) activity. It was concluded that ANG-2 is a promising new sodium indicator applicable for diverse biological systems.
Durch die immer stärker werdende Flut an digitalen Informationen basieren immer mehr Anwendungen auf der Nutzung von kostengünstigen Cloud Storage Diensten. Die Anzahl der Anbieter, die diese Dienste zur Verfügung stellen, hat sich in den letzten Jahren deutlich erhöht. Um den passenden Anbieter für eine Anwendung zu finden, müssen verschiedene Kriterien individuell berücksichtigt werden. In der vorliegenden Studie wird eine Auswahl an Anbietern etablierter Basic Storage Diensten vorgestellt und miteinander verglichen. Für die Gegenüberstellung werden Kriterien extrahiert, welche bei jedem der untersuchten Anbieter anwendbar sind und somit eine möglichst objektive Beurteilung erlauben. Hierzu gehören unter anderem Kosten, Recht, Sicherheit, Leistungsfähigkeit sowie bereitgestellte Schnittstellen. Die vorgestellten Kriterien können genutzt werden, um Cloud Storage Anbieter bezüglich eines konkreten Anwendungsfalles zu bewerten.
Metabolic systems tend to exhibit steady states that can be measured in terms of their concentrations and fluxes. These measurements can be regarded as a phenotypic representation of all the complex interactions and regulatory mechanisms taking place in the underlying metabolic network. Such interactions determine the system's response to external perturbations and are responsible, for example, for its asymptotic stability or for oscillatory trajectories around the steady state. However, determining these perturbation responses in the absence of fully specified kinetic models remains an important challenge of computational systems biology. Structural kinetic modeling (SKM) is a framework to analyse whether a metabolic steady state remains stable under perturbation, without requiring detailed knowledge about individual rate equations. It provides a parameterised representation of the system's Jacobian matrix in which the model parameters encode information about the enzyme-metabolite interactions. Stability criteria can be derived by generating a large number of structural kinetic models (SK-models) with randomly sampled parameter sets and evaluating the resulting Jacobian matrices. The parameter space can be analysed statistically in order to detect network positions that contribute significantly to the perturbation response. Because the sampled parameters are equivalent to the elasticities used in metabolic control analysis (MCA), the results are easy to interpret biologically. In this project, the SKM framework was extended by several novel methodological improvements. These improvements were evaluated in a simulation study using a set of small example pathways with simple Michaelis Menten rate laws. Afterwards, a detailed analysis of the dynamic properties of the neuronal TCA cycle was performed in order to demonstrate how the new insights obtained in this work could be used for the study of complex metabolic systems. The first improvement was achieved by examining the biological feasibility of the elasticity combinations created during Monte Carlo sampling. Using a set of small example systems, the findings showed that the majority of sampled SK-models would yield negative kinetic parameters if they were translated back into kinetic models. To overcome this problem, a simple criterion was formulated that mitigates such infeasible models and the application of this criterion changed the conclusions of the SKM experiment. The second improvement of this work was the application of supervised machine-learning approaches in order to analyse SKM experiments. So far, SKM experiments have focused on the detection of individual enzymes to identify single reactions important for maintaining the stability or oscillatory trajectories. In this work, this approach was extended by demonstrating how SKM enables the detection of ensembles of enzymes or metabolites that act together in an orchestrated manner to coordinate the pathways response to perturbations. In doing so, stable and unstable states served as class labels, and classifiers were trained to detect elasticity regions associated with stability and instability. Classification was performed using decision trees and relevance vector machines (RVMs). The decision trees produced good classification accuracy in terms of model bias and generalizability. RVMs outperformed decision trees when applied to small models, but encountered severe problems when applied to larger systems because of their high runtime requirements. The decision tree rulesets were analysed statistically and individually in order to explore the role of individual enzymes or metabolites in controlling the system's trajectories around steady states. The third improvement of this work was the establishment of a relationship between the SKM framework and the related field of MCA. In particular, it was shown how the sampled elasticities could be converted to flux control coefficients, which were then investigated for their predictive information content in classifier training. After evaluation on the small example pathways, the methodology was used to study two steady states of the neuronal TCA cycle with respect to their intrinsic mechanisms responsible for stability or instability. The findings showed that several elasticities were jointly coordinated to control stability and that the main source for potential instabilities were mutations in the enzyme alpha-ketoglutarate dehydrogenase.
Surface displacement at volcanic edifices is related to subsurface processes associated with magma movements, fluid transfers within the volcano edifice and gravity-driven deformation processes. Understanding of associated ground displacements is of importance for assessment of volcanic hazards. For example, volcanic unrest is often preceded by surface uplift, caused by magma intrusion and followed by subsidence, after the withdrawal of magma. Continuous monitoring of the surface displacement at volcanoes therefore might allow the forecasting of upcoming eruptions to some extent. In geophysics, the measured surface displacements allow the parameters of possible deformation sources to be estimated through analytical or numerical modeling. This is one way to improve the understanding of subsurface processes acting at volcanoes. Although the monitoring of volcanoes has significantly improved in the last decades (in terms of technical advancements and number of monitored volcanoes), the forecasting of volcanic eruptions remains puzzling. In this work I contribute towards the understanding of the subsurface processes at volcanoes and thus to the improvement of volcano eruption forecasting. I have investigated the displacement field of Llaima volcano in Chile and of Tendürek volcano in East Turkey by using synthetic aperture radar interferometry (InSAR). Through modeling of the deformation sources with the extracted displacement data, it was possible to gain insights into potential subsurface processes occurring at these two volcanoes that had been barely studied before. The two volcanoes, although of very different origin, composition and geometry, both show a complexity of interacting deformation sources. At Llaima volcano, the InSAR technique was difficult to apply, due to the large decorrelation of the radar signal between the acquisition of images. I developed a model-based unwrapping scheme, which allows the production of reliable displacement maps at the volcano that I used for deformation source modeling. The modeling results show significant differences in pre- and post-eruptive magmatic deformation source parameters. Therefore, I conjecture that two magma chambers exist below Llaima volcano: a post-eruptive deep one and a shallow one possibly due to the pre-eruptive ascent of magma. Similar reservoir depths at Llaima have been confirmed by independent petrologic studies. These reservoirs are interpreted to be temporally coupled. At Tendürek volcano I have found long-term subsidence of the volcanic edifice, which can be described by a large, magmatic, sill-like source that is subject to cooling contraction. The displacement data in conjunction with high-resolution optical images, however, reveal arcuate fractures at the eastern and western flank of the volcano. These are most likely the surface expressions of concentric ring-faults around the volcanic edifice that show low magnitudes of slip over a long time. This might be an alternative mechanism for the development of large caldera structures, which are so far assumed to be generated during large catastrophic collapse events. To investigate the potential subsurface geometry and relation of the two proposed interacting sources at Tendürek, a sill-like magmatic source and ring-faults, I have performed a more sophisticated numerical modeling approach. The optimum source geometries show, that the size of the sill-like source was overestimated in the simple models and that it is difficult to determine the dip angle of the ring-faults with surface displacement data only. However, considering physical and geological criteria a combination of outward-dipping reverse faults in the west and inward-dipping normal faults in the east seem to be the most likely. Consequently, the underground structure at the Tendürek volcano consists of a small, sill-like, contracting, magmatic source below the western summit crater that causes a trapdoor-like faulting along the ring-faults around the volcanic edifice. Therefore, the magmatic source and the ring-faults are also interpreted to be temporally coupled. In addition, a method for data reduction has been improved. The modeling of subsurface deformation sources requires only a relatively small number of well distributed InSAR observations at the earth’s surface. Satellite radar images, however, consist of several millions of these observations. Therefore, the large amount of data needs to be reduced by several orders of magnitude for source modeling, to save computation time and increase model flexibility. I have introduced a model-based subsampling approach in particular for heterogeneously-distributed observations. It allows a fast calculation of the data error variance-covariance matrix, also supports the modeling of time dependent displacement data and is, therefore, an alternative to existing methods.
These lecture notes are intended as a short introduction to diffusion processes on a domain with a reflecting boundary for graduate students, researchers in stochastic analysis and interested readers. Specific results on stochastic differential equations with reflecting boundaries such as existence and uniqueness, continuity and Markov properties, relation to partial differential equations and submartingale problems are given. An extensive list of references to current literature is included. This book has its origins in a mini-course the author gave at the University of Potsdam and at the Technical University of Berlin in Winter 2013.
Amtsenthebung und andere Disziplinarmaßnahmen gegen Richter in den Vereinigten Staaten von Amerika
(2014)
Boolean constraint solving technology has made tremendous progress over the last decade, leading to industrial-strength solvers, for example, in the areas of answer set programming (ASP), the constraint satisfaction problem (CSP), propositional satisfiability (SAT) and satisfiability of quantified Boolean formulas (QBF). However, in all these areas, there exist multiple solving strategies that work well on different applications; no strategy dominates all other strategies. Therefore, no individual solver shows robust state-of-the-art performance in all kinds of applications. Additionally, the question arises how to choose a well-performing solving strategy for a given application; this is a challenging question even for solver and domain experts. One way to address this issue is the use of portfolio solvers, that is, a set of different solvers or solver configurations. We present three new automatic portfolio methods: (i) automatic construction of parallel portfolio solvers (ACPP) via algorithm configuration,(ii) solving the $NP$-hard problem of finding effective algorithm schedules with Answer Set Programming (aspeed), and (iii) a flexible algorithm selection framework (claspfolio2) allowing for fair comparison of different selection approaches. All three methods show improved performance and robustness in comparison to individual solvers on heterogeneous instance sets from many different applications. Since parallel solvers are important to effectively solve hard problems on parallel computation systems (e.g., multi-core processors), we extend all three approaches to be effectively applicable in parallel settings. We conducted extensive experimental studies different instance sets from ASP, CSP, MAXSAT, Operation Research (OR), SAT and QBF that indicate an improvement in the state-of-the-art solving heterogeneous instance sets. Last but not least, from our experimental studies, we deduce practical advice regarding the question when to apply which of our methods.
Pierre-Simon Marquis de Laplace joua un rôle éminent dans la vie scientifique d’Alexandre de Humboldt. Humboldt avait fait la connaissance du savant français qui avait vingt ans de plus que lui-même à Paris en 1798. L’article de Eberhard Knobloch examine la relation entre ces deux géants de la science en s’appuyant entre autre pour la première fois sur des documents inédits: les quatre lettres de Laplace à Humboldt, le journal d’Humboldt et sur le matériel d’archives conservé aux Archives de l’Académie des Sciences de Berlin-Brandebourg.
Auf seiner russisch-sibirischen Reise im Jahre 1829 berührte Alexander von Humboldt zweimal Ust’-Kamenogorsk (heute kasachisch Öskemen), die kleine Stadt am Irtyš, an der Südgrenze des Russischen Reiches. Christian Suckow beschreibt Humboldts kurzen, zweitägigen Aufenthalt an dem Ort, der Ausgangs- und Endpunkt der Exkursion zur Silbergrube Zyrjanovsk im südwestlichen Altai und nach Baty an die chinesische Grenze war.
Auf welche Weise sich unsere Einschätzung des wissenschaftlichen Wirkens Alexander von Humboldts auf Grundlage der beständig voranschreitenden Erschließung seiner Handschriften verändern konnte und welche aktuellen wissenschaftshistorischen Fragestellungen dadurch aufgeworfen wurden, verdeutlicht Oliver Schwarz an Beispielen aus der Astronomie.