14 research outputs found

    Change Monitoring aus psychologischer Perspektive

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    In diesem Beitrag sollen aus einer psychologischen Perspektive Implikationen für das Change Monitoring formuliert werden. Hierzu werden im ersten Teil zunächst individuelle Reaktionen auf Veränderungen anhand unterschiedlicher einstellungs- und verhaltensbezogener Konzeptualisierungen modelliert. Hierbei werden Konstrukte wie Commitment to change, Zynismus gegenüber Wandel oder Widerstand bei Veränderungen thematisiert. Der zweite Teil zeigt auf, wie die individuellen Reaktionen auf Veränderungen durch verschiedene Faktoren wie personale Merkmale, Change Kontext, Change Prozess oder Change Charakteristika beeinflusst werden. Im dritten Teil steht die Frage im Vordergrund, welche Ansatzpunkte es gibt, um eine Verhaltensänderung im Sinne der Ziele eines Change Projekts zu unterstützen. Hierzu wird zunächst aufgezeigt, wann Bereitschaft für eine Veränderung entsteht. Außerdem wird die zentrale Rolle der Selbstwirksamkeitserwartung für die Änderung und Aufrechterhaltung von Verhalten dargestellt. Schließlich wird ein Überblick zu verschiedenen konkreten Interventionen gegeben, die Verhaltensänderungen unterstützen können. Im abschließenden Teil des Beitrags werden aufbauend auf den Vorüberlegungen konkrete Implikationen für ein psychologisch-fokussiertes Change Monitoring herausgearbeitet

    Silicon and chromium stable isotopic systematics during basalt weathering and lateritisation: A comparison of variably weathered basalt profiles in the Deccan Traps, India

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    Global biomass production is fundamentally affected by the hydrological cycling of elements at the Earth's surface. Continental weathering processes are the major source for most bio-essential elements in marine environments and therefore affect primary productivity. In addition, critical zone biomass depends on energy and chemical exchange reactions in weathering profiles. The latter reservoirs are in turn influenced by different climatic conditions that control weathering and pore water parameters like pH and Eh, which regulate mineral break down rates and dictate the mobility and mass flux of elements. Two Deccan Traps basalt weathering profiles of contrasting age and alteration intensity provide a natural laboratory for investigating the effects of rock alteration on Si and Cr and their isotopic. systematics. The Quaternary Chhindwara profile has progressed to a moderate degree of alteration (saprolite), while the Paleogene Bidar example displays an extremely altered laterite. The Chhindwara saprolite profile shows a near uniform Cr and Si concentration and isotopic composition, whereas the Bidar laterite profile is characterised by an intense loss of Si, a large enrichment of Cr within the most altered uppermost levels, and a wide range of Cr stable isotope ratios (-0.85 to 0.36 parts per thousand delta Cr-53/52). A co-variation between Si and Cr isotopes, as well as their co-variation with iron content, provides empirical evidence that iron redistribution within the profile has a large effect on Cr mobility and Si isotopic fractionation. Therefore, it is concluded that iron oxides exert a primary control over the isotopic composition of both Cr and Si in pore waters of laterites. Since laterite formation is promoted by tropical climates, the results of this study provide new evidence to suggest that the hydrological Cr and Si fluxes originating from continental weathering have changed in accordance with large-scale, deep time climate variation and continental plate configuration. An increased flux of Si and greater magnitude of Cr mobility and isotopic fractionation are possibly amplified under CO2-rich, greenhouse episodes and/or when large landmasses were tectonically arranged at near equatorial latitudes

    Predicting DNA-Binding Specificities of Eukaryotic Transcription Factors

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    Today, annotated amino acid sequences of more and more transcription factors (TFs) are readily available. Quantitative information about their DNA-binding specificities, however, are hard to obtain. Position frequency matrices (PFMs), the most widely used models to represent binding specificities, are experimentally characterized only for a small fraction of all TFs. Even for some of the most intensively studied eukaryotic organisms (i.e., human, rat and mouse), roughly one-sixth of all proteins with annotated DNA-binding domain have been characterized experimentally. Here, we present a new method based on support vector regression for predicting quantitative DNA-binding specificities of TFs in different eukaryotic species. This approach estimates a quantitative measure for the PFM similarity of two proteins, based on various features derived from their protein sequences. The method is trained and tested on a dataset containing 1 239 TFs with known DNA-binding specificity, and used to predict specific DNA target motifs for 645 TFs with high accuracy