Bücher der Reihe BestMasters

Social Identity research has found prominence in the realm of collective action but lacks an environmental activism focus. This study gathers individuals¿ experiences to explore the influences on decision-making processes to join an environmental activist group ¿ the local Extinction Rebellion (XR) group in Stuttgart, Germany. This case study is used to identify patterns in this process, to test the applicability of existing models and to explore the significance of social identity. Activists and past activists were interviewed. The results make it apparent that the existing models are not sufficient to represent social identity processes in environmental activism. The findings are visualized in a suggested adjusted model of collective action, which suggests norms and morals and (politicized) social identity as a twin core influencing collective action. Social identity retains its significance at the center of the model. Furthermore, it is suggested that collective efficacy beliefs anda sense of agency are interchangeable factors influencing the twin core and collective action directly. Injustice perceptions remain essential. Social connections, group identification, group dynamics, participatory efficacy, self-identity, and image are found to play a role occasionally but require further investigation. The convergence of collective efficacy beliefs and a sense of agency and the valuation of factors present especially relevant future research topics.

These effects are found to be temporary and to work through two channels: First, at the consumer level, intertemporal substitution effects differ even under an identical policy rule of all agents due to individual skill and capital endowments.

Christian Loenneker systematically explores the phenomenon of magical thinking in the context of severe grief reactions focusing on intrusive forms reported by bereaved individuals seeking professional support.

Sabine Helmsen stellt die Untersuchung von Interaktionen der Hitzeschockproteine (Hsp) mit Liganden, wie ATP, und potenziellen Inhibitoren in den Fokus ihrer Studie. Diese dienen im Besonderen zur Aufklärung des Bindungsverhaltens mit Hinweisen zu möglichen strukturellen Eigenschaften, welche hinsichtlich der Wechselwirkungen mit Natur- und Wirkstoffen als Inhibitoren eine Rolle spielen. Unter Verwendung der Microarray-Technologie erfolgen schnelle und präzise Analysen, welche ebenfalls den Einfluss bestimmter isolierter Naturstoffe und Extrakte des Pilzes Hypoxylon rickii auf die Wechselwirkung zwischen Hsp70 und Hsp90 zeigen.¿Die Autorin:Sabine Helmsen absolvierte den Bachelor of Science in Chemie an der Leibniz Universität in Hannover und schloss den Master Analytik dort am BMWZ, Biomolekulares Wirkstoffzentrum, bei Herrn Professor Kirschning und Herrn PD Zeilinger an.

By studying the ability of the Normal Tempered Stable (NTS) model to fit thestatistical features of intraday data at a 5 min sampling frequency, Florian Jacobs extends the research on high frequency data as well as the appliance of tempered stable models. He examines the DAX30 returns using ARMA-GARCH NTS, ARMA-GARCH MNTS (Multivariate Normal Tempered Stable) and ARMA-FIGARCH (Fractionally Integrated GARCH) NTS. The models will be benchmarked through their goodness of fit and their VaR and AVaR, as well as in an historical Backtesting.

The hypotheses that BASIS services and training programs positively impact firm export performance, defined as export propensity and export share, are empirically tested using the propensity score matching method.

In einer quellenbasierten Studie gibt die Wissenschaftshistorikerin und Physikerin An Rettig einen lebendigen Einblick in das Streben von Heisenberg und Pauli nach einer einheitlichen Quantenfeldtheorie ¿ von den Anfängen am Rande der Solvay-Konferenz 1927 bis zur Veröffentlichung eines gemeinsamen Ansatzes und Paulis Tod 1958. Die Studie umfasst die Grundlagen, die Entwicklung und die physiktheoretischen Inhalte von Heisenbergs und Paulis Ansatz von 1958 und untersucht die Gründe für dessen starke Ablehnung. Die Autorin berücksichtigt neben den physikalischen auch die zwischenmenschlichen Aspekte sowie den tiefen Wandel in der Physiker-Gemeinde über die Vorstellung, was eine erfolgreiche Physik ausmacht und wie diese entstehen kann.

It is concluded that the project's outcomes are ambivalent - partly living up to the expectations of THIP proponents but not resulting in shared benefits for all concerned stakeholders due to flaws in managing the development in this peri-urban transport corridor area, thereby fitting into the Kenyan context of politics and planning.

In practice, managers of mergers and acquisitions (M&A) draw their attention more and more to speed of integration within their M&A strategies. Based on the data collected from 101 German speaking companies she proves that task integration speed negatively influences M&A performance while human integration speed promotes M&A success.

Regional developers and network administrators are proud of having the largest number of registered network participants and clicks on their internet platform.

This master's thesis presents a novel approach to finding trajectories with minimal end time for kinematically redundant manipulators. Emphasis is given to a general applicability of the developed method to industrial tasks such as gluing or welding. Minimum-time trajectories may yield economic advantages as a shorter trajectory duration results in a lower task cycle time. Whereas kinematically redundant manipulators possess increased dexterity, compared to conventional non-redundant manipulators, their inverse kinematics is not unique and requires further treatment. In this work a joint space decomposition approach is introduced that takes advantage of the closed form inverse kinematics solution of non-redundant robots. Kinematic redundancy can be fully exploited to achieve minimum-time trajectories for prescribed end-effector paths.

Matthias Wurlpresents two essential steps to implement offline PET monitoring of proton dosedelivery at a clinical facility, namely the setting up of an accurate MonteCarlo model of the clinical beamline and the experimental validation ofpositron emitter production cross-sections. In the first part, the field sizedependence of the dose output is described for scanned proton beams. Both theMonte Carlo and an analytical computational beam model were able to accuratelypredict target dose, while the latter tends to overestimate dose in normaltissue. In the second part, the author presents PET measurements of differentphantom materials, which were activated by the proton beam. The resultsindicate that for an irradiation with a high number of protons for the sake ofgood statistics, dead time losses of the PET scanner may become important andlead to an underestimation of positron-emitter production yields.

Dominik Kemsa develops a comprehensive framework to objectively assess a firm's position with respect to Marketing Excellence (MEXC).

Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in countless scientific fields. Richard Huber discusses a multi-parameter Tikhonov approach for systems of inverse problems in order to take advantage of their specific structure.

Karl Michael Ziems investigates a meso-mesityl-2,6-Iodine substituted Boron Dipyrromethene (BODIPY) dye regarding its functionality as photosensitizer in a two-component light-driven hydrogen evolution.

Michael Lambertus examines the influence of perceived homosexual sexual and gender nonconform behaviors on the elicitation of two moral emotions, disgust and contempt, as well as moral judgment of male participants in his study.

Change management is omnipresent in organisations as companies have to transform constantly. Tim Fritzenschaft explores the issue how SMEs can deal with resistance to change and which critical success factors of change management are most important in a transformation project.

The author manages to prove that both a trained forecasting algorithm achieves a prediction accuracy of 92.49 % and statistical methods in machine learning lead to a significant increase in forecasts compared to naive forecasting models.