2,654 research outputs found

    An application of acting methodologies of Lee Strasberg, Stella Adler, and Sanford Meisner to Roles in Anton in show business

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    The purpose of this study is to examine and assess my approach to acting in Anton in Show Business, in pursuit of honest and truthful acting. This thesis will explore major principles of the acting methods of Lee Strasberg, Stella Adler, and Sanford Meisner. This thesis will illustrate the application of these select principles to my roles of Kate, Ben, and Jackey in Jane Martin’s Anton in Show Business. Chapter One will examine an overview of select principles of the acting methods of Lee Strasberg, Stella Adler, and Sanford Meisner. Strasberg’s select principles of relaxation, concentration, and affective memory; Adler’s select principles of given circumstances, imagination, and action; and Meisner’s select principles of doing and listening, communion between actors, and emotional preparation, will be defined. Chapter Two will demonstrate an application of the select principles of each acting method to my work in Anton in Show Business, I will explain my approach to acting through the applications of Strasberg’s select principles of relaxation, concentration, and affective memory; Adler’s select principles of given circumstances, imagination, and action; and Meisner’s select principles of doing and listening, communion between actors, and emotional preparation. Chapter Three will provide a conclusion of this study. All research, applications, and assessment of my work will be observed together to determine my growth as an actor, in my pursuit of honest and truthful acting. The basis of assessment is the degree of honesty and truthfulness in my performance

    DEEP: a provenance-aware executable document system

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    The concept of executable documents is attracting growing interest from both academics and publishers since it is a promising technology for the dissemination of scientific results. Provenance is a kind of metadata that provides a rich description of the derivation history of data products starting from their original sources. It has been used in many different e-Science domains and has shown great potential in enabling reproducibility of scientific results. However, while both executable documents and provenance are aimed at enhancing the dissemination of scientific results, little has been done to explore the integration of both techniques. In this paper, we introduce the design and development of DEEP, an executable document environment that generates scientific results dynamically and interactively, and also records the provenance for these results in the document. In this system, provenance is exposed to users via an interface that provides them with an alternative way of navigating the executable document. In addition, we make use of the provenance to offer a document rollback facility to users and help to manage the system's dynamic resources

    Exchange rate predictability and dynamic Bayesian learning

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    This paper considers how an investor in foreign exchange markets might exploit predictive information in macroeconomic fundamentals by allowing for switching between multivariate time series regression models. These models are chosen to reflect a wide array of established empirical and theoretical stylized facts. In an application involving monthly exchange rates for seven countries, we find that an investor using our methods to dynamically allocate assets achieves significant gains relative to benchmark strategies. In particular, we find strong evidence for fast model switching, with most of the time only a small set of macroeconomic fundamentals being relevant for forecasting

    Core-Core Dynamics in Spin Vortex Pairs

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    We investigate magnetic nano-pillars, in which two thin ferromagnetic nanoparticles are separated by a nanometer thin nonmagnetic spacer and can be set into stable spin vortex-pair configurations. The 16 ground states of the vortex-pair system are characterized by parallel or antiparallel chirality and parallel or antiparallel core-core alignment. We detect and differentiate these individual vortex-pair states experimentally and analyze their dynamics analytically and numerically. Of particular interest is the limit of strong core-core coupling, which we find can dominate the spin dynamics in the system. We observe that the 0.2 GHz gyrational resonance modes of the individual vortices are replaced with 2-6 GHz range collective rotational and vibrational core-core resonances in the configurations where the cores form a bound pair. These results demonstrate new opportunities in producing and manipulating spin states on the nanoscale and may prove useful for new types of ultra-dense storage devices where the information is stored as multiple vortex-core configurations

    Real-time prediction with U.K. monetary aggregates in the presence of model uncertainty

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    A popular account for the demise of the U.K.’s monetary targeting regime in the 1980s blames the fluctuating predictive relationships between broad money and inflation and real output growth. Yet ex post policy analysis based on heavily revised data suggests no fluctuations in the predictive content of money. In this paper, we investigate the predictive relationships for inflation and output growth using both real-time and heavily revised data. We consider a large set of recursively estimated vector autoregressive (VAR) and vector error correction models (VECM). These models differ in terms of lag length and the number of cointegrating relationships. We use Bayesian model averaging (BMA) to demonstrate that real-time monetary policymakers faced considerable model uncertainty. The in-sample predictive content of money fluctuated during the 1980s as a result of data revisions in the presence of model uncertainty. This feature is only apparent with real-time data as heavily revised data obscure these fluctuations. Out-of-sample predictive evaluations rarely suggest that money matters for either inflation or real output. We conclude that both data revisions and model uncertainty contributed to the demise of the U.K.’s monetary targeting regime
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