American Studies Commons^™

The Effect Of Mental Practice Type On Dart-Throwing Performance, Todd Allen Joseph

USF Tampa Graduate Theses and Dissertations

The present study used a sample of 171 college students from the University of South Florida to examine the effects of different types of mental practice on dart-throwing performance. This study examined the effects of imagery and video modeling on an immediately following physical task As suspected, the video modeling condition under these circumstances was associated with poorer performance than the imagery and control conditions. The imagery condition, however, resulted in no difference in performance from the control condition. Discussions of the results and future avenues of research (including gender effects) are also mentioned.

On Effective And Efficient Experimental Designs For Neurobehavioral Screening Tests: The Choice Of A Testing Time For Estimating The Time Of Peak Effects, Peter A. Toyinbo

USF Tampa Graduate Theses and Dissertations

In its latest neurotoxicity guidelines released by the US EPA Office of Prevention, Pesticides and Toxic Substances (OPPTS) in 1998, it is recommended that in a neurobehavioral testing, at a minimum, for acute studies, observations and activity testing should be made before the initiation of exposure, at the estimated TOPE (time of peak effects) within 8 hrs of dosing, and at 7 and 14 days after dosing. It is recommended that estimation of TOPE be made by dosing pairs of rats across a range of doses and making regular observations of gait and arousal. However it is well known that …

Symbolic Regression Of Thermo-Physical Model Using Genetic Programming, Ying Zhang

USF Tampa Graduate Theses and Dissertations

The symbolic regression problem is to find a function, in symbolic form, that fits a given data set. Symbolic regression provides a means for function identification. This research describes an adaptive hybrid system for symbolic function identification of thermo-physical model that combines the genetic programming and a modified Marquardt nonlinear regression algorithm.

Genetic Programming (GP) system can extract knowledge from the data in the form of symbolic expressions, i.e. a tree structure, that are used to model and derive equation of state, mixing rules and phase behavior from the experimental data (properties estimation).

During the automatic evolution process of GP, …

Ammonia Flux At The Air/Water Interface Of Tampa Bay, Constance Anne Mizak

USF Tampa Graduate Theses and Dissertations

An ammonia emissions inventory discovered that 90% of the ammonia emitted from Pinellas, Hillsborough, and Polk counties, originated from the latter two counties. This finding is significant and suggests that a substantial portion of the ammonia deposited to Tampa Bay is transported with easterly air masses.

Ammonia and ammonium concentrations at the coastal Gandy Bridge site were seasonally and diurnally consistent, but the rural Sydney site showed greater variability. It was determined that wind direction was the most influential parameter affecting the Gandy Bridge site, which supports the hypothesis that an advection of ammonia from the east is a major …

Improved Current-Voltage Methods For Rf Transistor Characterization, Charles Passant Baylis Ii

USF Tampa Graduate Theses and Dissertations

In the development of a nonlinear transistor model, several measurements are used to extract equivalent circuit parameters. The current-voltage (IV) characteristic of a transistor is one of the measurement data sets that allows the nonlinear model parameters to be extracted. The accuracy of the IV measurement greatly influences the accuracy of the large-signal model.

Numerous works have reported the inadequacy of traditional static DC IV measurements to accurately predict radio-frequency (RF) behavior for many devices. This inaccuracy results from slow processes in the device that do not have time to completely respond to the quick changes in terminal conditions when …