The purposes of the study were to: 1) identify the underlying dimensions of consumer shopping motivations and attitudes toward online auction behaviors; 2) examine the relationships between shopping motivations and online auction behaviors; and 3) examine the relationships between shopping attitudes and online auction behaviors. Students (N = 341) enrolled at the University of North Texas completed self-administered questionnaires measuring shopping motivations, attitudes, online auction behaviors, and demographic characteristics. Using multiple regression analyses to test the hypothesized relationships, shopping motivations and shopping attitudes were significantly related to online auction behaviors. Understanding the relationships is beneficial for companies that seek to retain customers and increase their sales through online auction.

Susceptibles-infectives-removals (SIR) and its derivatives are the classic mathematical models for the study of infectious diseases in epidemiology. In order to model and simulate epidemics of an infectious disease, a global stochastic field simulation paradigm (GSFS) is proposed, which incorporates geographic and demographic based interactions. The interaction measure between regions is a function of population density and geographical distance, and has been extended to include demographic and migratory constraints. The progression of diseases using GSFS is analyzed, and similar behavior to the SIR model is exhibited by GSFS, using the geographic information systems (GIS) gravity model for interactions. The limitations of the SIR and similar models of homogeneous population with uniform mixing are addressed by the GSFS model. The GSFS model is oriented to heterogeneous population, and can incorporate interactions based on geography, demography, environment and migration patterns. The progression of diseases can be modeled at higher levels of fidelity using the GSFS model, and facilitates optimal deployment of public health resources for prevention, control and surveillance of infectious diseases.

I present strategies and methods for teaching fundamentals of music theory in the context of the private music studio through a variety of techniques and research. Beginning with a background in educational psychology, examples of behaviorist and cognitive teaching models are presented, and how each applies to teaching music is explained. Two detailed examples of actual lessons are presented, coupled with musical examples, to describe both the process and the concepts that can be presented. A qualitative experiment based upon the learning styles of three music students and the effect of different teaching styles when teaching the same concept is presented and discussed in detail.

Pulling Tangled Strings: "The Puppeteer" and Other Stories is a collection of stories with strong thematic and emotional connections that includes an opening preface describing the process used when writing the stories. Each of the stories is united by a main character that desperately wants to gain control of his environment. From a character acting out a classic revenge tale on his friend to a comatose teenager victimized by an ambiguous tragedy, these are characters who have been put into difficult life situations and need to feel like they are pulling the strings in their lives again. In all cases, however, the characters come to find that control does not come easily and that the motivations for their behavior are never clear cut, even to themselves.

In this research, hyperspectral and multispectral images were utilized for vegetation studies in the greenbelt corridor near Denton. EO-1 Hyperion was the hyperspectral image and Landsat Thematic Mapper (TM) was the multispectral image used for this research. In the first part of the research, both the images were classified for land cover mapping (after necessary atmospheric correction and geometric registration) using supervised classification method with maximum likelihood algorithm and accuracy of the classification was also assessed for comparison. Hyperspectral image was preprocessed for classification through principal component analysis (PCA), segmented principal component analysis and minimum noise fraction (MNF) transform. Three different images were achieved after these pre-processing of the hyperspectral image. Therefore, a total of four images were classified and assessed the accuracy. In the second part, a more precise and improved land cover study was done on hyperspectral image using linear spectral unmixing method. Finally, several vegetation constituents like chlorophyll a, chlorophyll b, caroteoids were distinguished from the hyperspectral image using feature-oriented principal component analysis (FOPCA) method and which component dominates which type of land cover particularly vegetation were correlated.

Condemned prisoners in Texas and most other states are given an opportunity to make a final statement in the last moments before death. An anecdotal review by the author of this study over the last 15 years indicates that condemned prisoners use the opportunity for a variety of purposes. They ask forgiveness, explain themselves, lash out at accusers, rail at the system, read poems, say goodbyes to friends and family, praise God, curse fate - and assert their innocence with their last breaths. The final words also are typically heard by a select group of witnesses, which may include a prisoner's family and friends, victim's relatives, and one or more journalists. What the public knows about a particular condemned person's statement largely depends on what the journalists who witness the executions chose to include in their accounts of executions, the accuracy of their notes, and the completeness of the statements that are recorded on departments of correction websites or records. This paper will examine, through rhetorical and content analyses, the final words of the 355 prisoners who were executed in Texas between 1976 and 2005, identify those who made unequivocal claims of innocence in their final statements, and analyze news …