Shareholder Welfare in Minority Freeze-Out Bids: Are Legal Protections Sufficient? Evidence from the U.S. Market

Anlegerschutz, Kleinaktionär, Diskriminierung, Vereinigte Staaten, Investor protection, Small shareholders, Discrimination, United States

Security Issues in Mobile Payment from the Customer Viewpoint

The perception of mobile payment procedures’ security by the customer is one major factor for the market breakthrough of the according systems. In this paper we examine security issues in mobile payment from the viewpoint of customers. Based on theoretical research we analyze empirical data from the MP2 mobile payment study with 8295 respondents in order to develop a set of dimensions, categories and aspects. The results do have a scientific as well as a practical impact: They provide a basis for the selection of appropriate indicators for further empirical studies. Furthermore they can serve as a guideline for mobile payment service providers in order to prevent security concerns through appropriate design and communication of payment procedures and to convince customers of the security of their mobile procedures by meeting concerns in informative advertising.

Über das Verschwinden der ästhetischen Texterfahrung in konjunktiven Erfahrungsräumen

Dem konjunktiven Erfahrungsraum, dessen Konjunktivität und Räumlichkeit zur Voraussetzung haben, dass Erfahrung im Bezug auf ein „Du“ gemacht wird, ist hier der disjunktive Erfahrungsraum gegenübergestellt. Konkretisiert man den Erfahrungsraum als Raum ästhetischer Erfahrung, so wäre der disjunktive Erfahrungsraum prototypisch für diese Erfahrungsform – zumindest für die Betrachtung des ästhetischen Erfahrens der Literatur: Der Leser ist allein mit einem Buch / einem Text. Bezogen auf das Analyseobjekt wird der konjunktive Erfahrungsraum bei Dirck Linck im Zusammenhang mit einem „Verschwinden“ ästhetischer Erfahrung von Literatur betrachtet – dies im Falle der Beat- und Pop-Literatur der 1960er Jahre

Major depression : diagnosis and intervention

This paper will be an analysis of the psychological disorder of major depression. First, the classification of this disorder using the DSM-IV-TR will be reviewed. The areas of etiology, differential diagnosis, and treatment will then be considered. Following, a theory-specific approach to the disease including theoretical framework, diagnosis and treatment, and outcomes of using this approach, will be examined. Finally a personal reflection on the subject of major depression, and lessons learned from this project, will be discussed

Foucault\u27s Pendulum, a Classical Analog for the Electron Spin State

Spin has long been regarded as a fundamentally quantum phenomena that is incapable of being described classically. To bridge the gap and show that aspects of spin\u27s quantum nature can be described classically, this work uses a classical Lagrangian based on the coupled oscillations of Foucault\u27s pendulum as an analog for the electron spin state in an external magnetic field. With this analog it is possible to demonstrate that Foucault\u27s pendulum not only serves as a basis for explaining geometric phase, but is also a basis for reproducing a broad range of behavior from Zeeman-like frequency splitting to precession of the spin state. By demonstrating that unmeasured electron spin states can be fully described in classical terms, this research opens the door to using the tools of classical physics to examine an inherently quantum phenomenon

Toward Global Localization of Unmanned Aircraft Systems using Overhead Image Registration with Deep Learning Convolutional Neural Networks

Global localization, in which an unmanned aircraft system (UAS) estimates its unknown current location without access to its take-off location or other locational data from its flight path, is a challenging problem. This research brings together aspects from the remote sensing, geoinformatics, and machine learning disciplines by framing the global localization problem as a geospatial image registration problem in which overhead aerial and satellite imagery serve as a proxy for UAS imagery. A literature review is conducted covering the use of deep learning convolutional neural networks (DLCNN) with global localization and other related geospatial imagery applications. Differences between geospatial imagery taken from the overhead perspective and terrestrial imagery are discussed, as well as difficulties in using geospatial overhead imagery for image registration due to a lack of suitable machine learning datasets. Geospatial analysis is conducted to identify suitable areas for future UAS imagery collection. One of these areas, Jerusalem northeast (JNE) is selected as the area of interest (AOI) for this research. Multi-modal, multi-temporal, and multi-resolution geospatial overhead imagery is aggregated from a variety of publicly available sources and processed to create a controlled image dataset called Jerusalem northeast rural controlled imagery (JNE RCI). JNE RCI is tested with handcrafted feature-based methods SURF and SIFT and a non-handcrafted feature-based pre-trained fine-tuned VGG-16 DLCNN on coarse-grained image registration. Both handcrafted and non-handcrafted feature based methods had difficulty with the coarse-grained registration process. The format of JNE RCI is determined to be unsuitable for the coarse-grained registration process with DLCNNs and the process to create a new supervised machine learning dataset, Jerusalem northeast machine learning (JNE ML) is covered in detail. A multi-resolution grid based approach is used, where each grid cell ID is treated as the supervised training label for that respective resolution. Pre-trained fine-tuned VGG-16 DLCNNs, two custom architecture two-channel DLCNNs, and a custom chain DLCNN are trained on JNE ML for each spatial resolution of subimages in the dataset. All DLCNNs used could more accurately coarsely register the JNE ML subimages compared to the pre-trained fine-tuned VGG-16 DLCNN on JNE RCI. This shows the process for creating JNE ML is valid and is suitable for using machine learning with the coarse-grained registration problem. All custom architecture two-channel DLCNNs and the custom chain DLCNN were able to more accurately coarsely register the JNE ML subimages compared to the fine-tuned pre-trained VGG-16 approach. Both the two-channel custom DLCNNs and the chain DLCNN were able to generalize well to new imagery that these networks had not previously trained on. Through the contributions of this research, a foundation is laid for future work to be conducted on the UAS global localization problem within the rural forested JNE AOI

Pioneers of aerial archaeology: the Bayerische Fliegerstaffel in Palestine (1917-1918)

Bavarian military pilots were among the pioneers of aerial archaeology. The “Fliegerstaffel” documented a huge amount of archaeological sites especially in Palestine. Many of these sites nowadays are destroyed or not visible in its original shape anymore

“Eine Kneipe ist wie ein Film” : aproximações entre o cinema de Fatih Akin e o Neuer Deutscher Film de três décadas atrás

Fatih Akin has been the subject of much research in the academic world, especially regarding his portrayal of young Turkish Germans, Turkey and the borders between Europe and the Middle East. This article presents a critical evaluation of these approaches and then looks into Akin’s relation with music, literature and the New German Cinema from the 1970’s and 80’s