A Discovered Dissembler Can Achieve Nothing Great”; Or, Four Theses on the Death of Presidential Rhetoric in an Age of Empire

Because of the explosion of mass media, we have entered a new age of white noise; because of the disastrous extension of U.S. imperial ambitions, we have entered a new age of political deception; when these two historical factors are combined with the peculiar communicative habits of President George W. Bush, Americans are left with what we call a post‐rhetorical presidency. This is an anti‐democratic condition wherein presidential discourse is not meant to mobilize, educate, and uplift the masses; rather, by marshaling ubiquitous public chatter, waves of disinformation, and cascades of confusion‐causing misdirection, post‐rhetorical presidential discourse attempts to confuse public opinion, prevent citizen action, and frustrate citizen deliberation. Under these new conditions, the president defines fantasy, not reality; he numbs citizens rather than energizing them; instead of informing and teaching, he chooses to dumb down and stupefy. We pursue this thesis by offering four philosophical theses and three rhetorical case studies of the president's public speaking, thus combining critical theory and rhetorical criticism to help map what may represent the death of democracy

The Application of a High Resolution Nested Hydrodynamic Model to Quantification of Power Output from Tidal Turbine Arrays

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

An Approach to Optmising the Harvesting of Tidal Energy

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Parameterization Of Turbulence Models Using 3DVAR Data Assimilation

In this research the 3DVAR data assimilation scheme is implemented in the numerical model DIVAST in order to optimize the performance of the numerical model by selecting an appropriate turbulence scheme and tuning its parameters. Two turbulence closure schemes: the Prandtl mixing length model and the two-equation k-ε model were incorporated into DIVAST and examined with respect to their universality of application, complexity of solutions, computational efficiency and numerical stability. A square harbour with one symmetrical entrance subject to tide-induced flows was selected to investigate the structure of turbulent flows. The experimental part of the research was conducted in a tidal basin. A significant advantage of such laboratory experiment is a fully controlled environment where domain setup and forcing are user-defined. The research shows that the Prandtl mixing length model and the two-equation k-ε model, with default parameterization predefined according to literature recommendations, overestimate eddy viscosity which in turn results in a significant underestimation of velocity magnitudes in the harbour. The data assimilation of the model-predicted velocity and laboratory observations significantly improves model predictions for both turbulence models by adjusting modelled flows in the harbour to match de-errored observations. 3DVAR allows also to identify and quantify shortcomings of the numerical model. Such comprehensive analysis gives an optimal solution based on which numerical model parameters can be estimated. The process of turbulence model optimization by reparameterization and tuning towards optimal state led to new constants that may be potentially applied to complex turbulent flows, such as rapidly developing flows or recirculating flows

Learning Communities: A Business School Perspective

This paper discusses the organization and operation of a university learning community program at the University of North Carolina at Greensboro (UNCG). After several years, the program administrator and certain of the faculty and staff reflected on the achievements of the program. The learning community concept is discussed as well as the nature of the learning activities both general and those specific to the business school. The program reported higher levels of student retention and students reported higher involvement in leadership skill development and the UNCG community than students who were not in the learning community program

Forecasting of Surface Currents via Correcting Wind Stress with Assimilation of High-Frequency Radar Data in a Three-Dimensional Model

This paper details work in assessing the capability of a hydrodynamic model to forecast surface currents and in applying data assimilation techniques to improve model forecasts. A three-dimensional model Environment Fluid Dynamics Code (EFDC) was forced with tidal boundary data and onshore wind data, and so forth. Surface current data from a high-frequency (HF) radar system in Galway Bay were used for model intercomparisons and as a source for data assimilation. The impact of bottom roughness was also investigated. Having developed a “good” water circulation model the authors sought to improve its forecasting ability through correcting wind shear stress boundary conditions. The differences in surface velocity components between HF radar measurements and model output were calculated and used to correct surface shear stresses. Moreover, data assimilation cycle lengths were examined to extend the improvements of surface current’s patterns during forecasting period, especially for north-south velocity component. The influence of data assimilation in model forecasting was assessed using a Data Assimilation Skill Score (DASS). Positive magnitude of DASS indicated that both velocity components were considerably improved during forecasting period. Additionally, the improvements of RMSE for vector direction over domain were significant compared with the “free run.