From Wovoka to Wounded Knee: deprivation of Sioux traditional life and the massacre of Wounded Knee in 1890

The purpose of this thesis is to explore deprivation experienced by the nineteenth century Sioux who suffered the loss of traditional lands, economic independence, buffalo, tribal customs, and religion. After years of reservation life, starvation, and deprivation at the hands of the U.S. government, white settlers, and reservation agents, the Sioux anxiously sought out a Paiute Indian Messiah named Wovoka whose message of a new Indian world spread rapidly throughout the Dakotas. The use of extensive historical and religious documents, as well as primary sources, will argue that the extent of desperation experienced by the Sioux drove them to accept the Ghost Dance as a substitute for the Sun Dance, the center of their traditional religious complex. With its hope of the resurrection of dead Indians, return of the buffalo, and renewal of the earth, it was immediately adopted leading ultimately to the massacre at Wounded Knee in 1890 and the passing of Wovoka's religion into history.

Quality of student involvement and college contribution toward development of traditional and nontraditional undergraduate students

Nontraditional students differ from traditional students on characteristics such as age, employment status, marital status, and parental status. The quality of a student's experience is important as it relates to his or her transformation and is a reflection of the quality of the college. Using theory of involvement as a framework, the purpose of this study was to test if there were differences between traditional and nontraditional undergraduate students in their ratings of quality of college involvement (academic, co-curricular, student interactions, and faculty interactions) and perceptions of college contribution toward development (intellectual, personal, social, and career). A two part survey was distributed to a random cluster sample of sophomore and higher level undergraduate classes equaling 400 undergraduate students. Results of a 2 X 4 repeated measures ANOVA indicated that traditional students rated quality for co-curricular involvement and student involvement significantly higher than nontraditional students. Both traditional and nontraditional students had similar ratings of college contribution toward development. There were different patterns of correlations between involvement and development. Traditional students' ratings of academic and student involvement were more highly correlated with development than were the ratings of nontraditional students. However, nontraditional students' ratings of academic and faculty involvement were more highly correlated with development. When testing for differences in correlations between quality of involvement and college contribution toward development, the largest observed differences were quality of student involvement and college contribution toward personal and social development. Although not significantly different, traditional students had stronger correlations between those factors than did the nontraditional students. This research demonstrates the importance of using social role when defining student type. It contributes to involvement theory by explaining how traditional and nontraditional students differ in their ratings of quality of involvement. Further, it identifies different patterns of correlations between ratings of quality of involvement and college contribution toward development for the two types of students. While traditional students may need a more rounded college experience that includes more social and co-curricular experiences, nontraditional students use the classroom as their stage for learning.

The Use of Hyphenated Spectrometric Techniques for the Environmental Forensic Assessment of Non-Traditional Pollutants and Degradates in the Greater Florida Everglades

A comprehensive investigation of sensitive ecosystems in South Florida with the main goal of determining the identity, spatial distribution, and sources of both organic biocides and trace elements in different environmental compartments is reported. This study presents the development and validation of a fractionation and isolation method of twelve polar acidic herbicides commonly applied in the vicinity of the study areas, including e.g. 2,4-D, MCPA, dichlorprop, mecroprop, picloram in surface water. Solid phase extraction (SPE) was used to isolate the analytes from abiotic matrices containing large amounts of dissolved organic material. Atmospheric-pressure ionization (API) with electrospray ionization in negative mode (ESP-) in a Quadrupole Ion Trap mass spectrometer was used to perform the characterization of the herbicides of interest. The application of Laser Ablation-ICP-MS methodology in the analysis of soils and sediments is reported in this study. The analytical performance of the method was evaluated on certified standards and real soil and sediment samples. Residential soils were analyzed to evaluate feasibility of using the powerful technique as a routine and rapid method to monitor potential contaminated sites. Forty eight sediments were also collected from semi pristine areas in South Florida to conduct screening of baseline levels of bioavailable elements in support of risk evaluation. The LA-ICP-MS data were used to perform a statistical evaluation of the elemental composition as a tool for environmental forensics. A LA-ICP-MS protocol was also developed and optimized for the elemental analysis of a wide range of elements in polymeric filters containing atmospheric dust. A quantitative strategy based on internal and external standards allowed for a rapid determination of airborne trace elements in filters containing both contemporary African dust and local dust emissions. These distributions were used to qualitative and quantitative assess differences of composition and to establish provenance and fluxes to protected regional ecosystems such as coral reefs and national parks.

Utilizing Traditional Cognitive Measures of Academic Preparation to Predict First-Year Science, Technology, Engineering, and Mathematics (STEM) Majors' Success in Math and Science Courses

For the past several years, U.S. colleges and universities have faced increased pressure to improve retention and graduation rates. At the same time, educational institutions have placed a greater emphasis on the importance of enrolling more students in STEM (science, technology, engineering and mathematics) programs and producing more STEM graduates. The resulting problem faced by educators involves finding new ways to support the success of STEM majors, regardless of their pre-college academic preparation. The purpose of my research study involved utilizing first-year STEM majors’ math SAT scores, unweighted high school GPA, math placement test scores, and the highest level of math taken in high school to develop models for predicting those who were likely to pass their first math and science courses. In doing so, the study aimed to provide a strategy to address the challenge of improving the passing rates of those first-year students attempting STEM-related courses. The study sample included 1018 first-year STEM majors who had entered the same large, public, urban, Hispanic-serving, research university in the Southeastern U.S. between 2010 and 2012. The research design involved the use of hierarchical logistic regression to determine the significance of utilizing the four independent variables to develop models for predicting success in math and science. The resulting data indicated that the overall model of predictors (which included all four predictor variables) was statistically significant for predicting those students who passed their first math course and for predicting those students who passed their first science course. Individually, all four predictor variables were found to be statistically significant for predicting those who had passed math, with the unweighted high school GPA and the highest math taken in high school accounting for the largest amount of unique variance. Those two variables also improved the regression model’s percentage of correctly predicting that dependent variable. The only variable that was found to be statistically significant for predicting those who had passed science was the students’ unweighted high school GPA. Overall, the results of my study have been offered as my contribution to the literature on predicting first-year student success, especially within the STEM disciplines.

Novel Analytical Methodologies for the Monitoring of Traditional and Non-traditional Pollutants in different Environmental Compartments of South Florida

Routine monitoring of environmental pollution demands simplicity and speed without sacrificing sensitivity or accuracy. The development and application of sensitive, fast and easy to implement analytical methodologies for detecting emerging and traditional water and airborne contaminants in South Florida is presented. A novel method was developed for quantification of the herbicide glyphosate based on lyophilization followed by derivatization and simultaneous detection by fluorescence and mass spectrometry. Samples were analyzed from water canals that will hydrate estuarine wetlands of Biscayne National Park, detecting inputs of glyphosate from both aquatic usage and agricultural runoff from farms. A second study describes a set of fast, automated LC-MS/MS protocols for the analysis of dioctyl sulfosuccinate (DOSS) and 2-butoxyethanol, two components of Corexit®. Around 1.8 million gallons of those dispersant formulations were used in the response efforts for the Gulf of Mexico oil spill in 2010. The methods presented here allow the trace-level detection of these compounds in seawater, crude oil and commercial dispersants formulations. In addition, two methodologies were developed for the analysis of well-known pollutants, namely Polycyclic Aromatic Hydrocarbons (PAHs) and airborne particulate matter (APM). PAHs are ubiquitous environmental contaminants and some are potent carcinogens. Traditional GC-MS analysis is labor-intensive and consumes large amounts of toxic solvents. My study provides an alternative automated SPE-LC-APPI-MS/MS analysis with minimal sample preparation and a lower solvent consumption. The system can inject, extract, clean, separate and detect 28 PAHs and 15 families of alkylated PAHs in 28 minutes. The methodology was tested with environmental samples from Miami. Airborne Particulate Matter is a mixture of particles of chemical and biological origin. Assessment of its elemental composition is critical for the protection of sensitive ecosystems and public health. The APM collected from Port Everglades between 2005 and 2010 was analyzed by ICP-MS after acid digestion of filters. The most abundant elements were Fe and Al, followed by Cu, V and Zn. Enrichment factors show that hazardous elements (Cd, Pb, As, Co, Ni and Cr) are introduced by anthropogenic activities. Data suggest that the major sources of APM were an electricity plant, road dust, industrial emissions and marine vessels.