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How Do Race and Gender Impact Perceptions of the Wrongfully Convicted?
Get PDFOfficial misconduct contributes to many wrongful convictions, disproportionately affecting more black than white individuals. Previous research on perceptions of exonerees has yielded mixed results on race differences and none has investigated gender differences. This study compared perceptions of exonerees, wrongfully convicted due to official misconduct, manipulating race and gender. Participants read a mock news article detailing the double homicide of the exoneree’s children. Participants recognized that official misconduct was more likely to occur for black individuals. They were generally supportive of compensation for exonerees but rated the white female as least deserving. Participants also held more favorable attitudes towards black exonerees yet would be less comfortable in social interactions with black than white exonerees
Explore the Seasonality of COVID19 in Hamilton County, Tennessee, Shelby County, Tennessee, and Davidson County, Tennessee
Get PDFThe following study hypothesizes that COVID19 is a seasonal infectious disease. To test this hypothesis, this study investigated the correlation between weather conditions and transmission of COVID19 in Tennessee. The study contains weather conditions for selected counties in Tennessee, Hamilton county, Davidson county, and Shelby county. This research estimated the daily average weather conditions, and then merged them with the daily COVID19 cases. The following data was visualized and applied cross relation analysis. The initial analysis identified the time lags between weather conditions and COVID19 daily cases
Willie Ricks biographical sketch
Get PDFhttps://scholar.utc.edu/racial-justice-biographies/1010/thumbnail.jp
The Relationship Between Occupational Category and Workplace Aggression: Workaholism as a Potential Moderator
Get PDFWork environments are ever-changing and differ between blue- and white-collar employees. Our goal is to investigate the relationship between occupational category, workplace aggression, and workaholism. The work environment hypothesis emphasizes the role of workplace contextual factors and the work environment on workplace aggression (Salin, 2015). Occupational category, which includes blue- and white-collar positions, is one such work environmental factor. Blue-collar positions are described using manual labor (Finstad et al., 2019), while white-collar positions deal with information rather than things (Anjum & Parvez, 2013). Workplace aggression is the intentional acts by individuals to harm others in an organization or the organization as a whole (Barling et. al., 2009). Work stress leads to higher levels of workplace aggression (Spector & Fox, 2005; Maufi, 2011). In the proposed study, we will investigate the relationship between occupational category and workplace aggression, and examine the potential moderating influence of workaholism. Workaholism, an individual’s compulsive need to work excessively, was chosen as a moderator due to its relation to increased work stress (Glomb, 2002; Clark et. al., 2016). If one occupational category is found to significantly relate to workplace aggression more than the other, this could provide focus for future interventions to target these workers to reduce work stress and workaholism risk. If workaholism is a significant moderator, this will provide incentive for companies to further encourage work-life balance to reduce the risk of workplace aggression and counterproductive work behavior (a form of workplace aggression) incidents. Due to the higher stress associated with the poor working conditions faced by blue-collar workers, we expect blue-collar work to be more strongly related to workplace aggression (H1). White-collar work provides greater access and opportunity to technology that allows for excessive work, along with internal motivation similar to the internal drive of workaholism. Thus, we expect white-collar work to be more strongly associated with workaholism (H2). Due to their similar relationship with work stress, workaholism is predicted to be positively related to workplace aggression (H3). Finally, we expect workaholism to have a moderating influence on the occupational category-workplace aggression relationship, such that with higher levels of workaholism, workplace aggression will increase across occupational categories (H4). Participants will consist of full-time faculty and staff at a large Southeastern university recruited through email distribution. Correlations and multiple regression analysis will be used to test the proposed hypotheses. Hayes’ PROCESS (2014) will be used to determine the potential moderating influence of workaholism
Hidden links: Trait anxiety and the hostile attribution bias
Get PDFThe hostile attribution bias (HAB) is a tendency to interpret malevolent intentions when confronted by ambiguous actions of others. This project examines the relationship between HAB and trait anxiety and whether a metacognitive manipulation reduces HAB. In Study 1, our results showed that trait anxiety and HAB had a positive correlation using both methods of detecting hostility, even when negative affect was accounted for. In Study 2, overall analyses revealed that compared to a true control condition, the metacognition manipulation reduced the link between trait anxiety and HAB. This study needs to be replicated before we can definitively draw conclusions, but still guides us to a potential new method for reducing HAB in anxious individuals
Melamine-derived graphene foam as a thermal additive for water harvesting applications
Get PDFThis project proposes the use of a novel melamine-derived graphene foam formed by high temperature pyrolysis under inert conditions for use as a thermal additive to absorbent crystals. The high thermal conductivity of graphene foam makes it an ideal candidate for use as a cheap, flexible, and light-weight alternative to previously used copper foam and metal organic frameworks. Following surface functionalization, graphene foam may be saturated with hydrophilic absorbent crystals. The primary objectives of this research are to optimize the synthesis process of such a graphene foam to obtain the highest purity product while maintaining foam flexibility and to study the foam’s material properties after saturation with a zeolite solution. Manipulated parameters in the optimization process include annealing temperature, annealing time, and ramping rate. Product purity is assessed using Raman spectroscopy. Scanning Electron Microscopy (SEM) is used to compare the deformation of the carbon foam before and after compression. It was found that high annealing temperatures yield the least flexible foam. A temperature of 800°C produced the most flexible foam. Annealing time was found to have an insignificant effect on flexibility and the effects of ramping rate were inconclusive
An analysis of the evolution of life history traits
Get PDFThe evolution and relationship between life-history traits has been a popular research topic over the past several decades. Previous research has generally focused on a single or small number of species, or a single trait. I utilized multiple trait-based datasets to create a collection of 777 Mammalia species across five taxonomic orders (Artiodactyla, Carnivora, Chiroptera, Primates, Rodentia) to examine the relationships between size, longevity, maturity age, and number of offspring, both within the taxonomic orders and across the Mammalia clade. I found that although the general pattern followed classic “fast-slow continuum”, there were some exceptions to this pattern, specifically body size in Chiroptera and litter size in Artiodactyla and Primates. This suggests that although a correlation between certain life-history traits exist, “slow” traits (large size, long life, few offspring) do evolve in species with “fast” traits when limited by other factors, such as the size requirements for flight
Detection and characterization of nanoparticles in the surface water: challenges and findings
Get PDFNanoscale material release (Nanoparticle of \u3c 100 nm) in surface waters is growing concerned worldwide. Understanding the fate of Engineered Nanoparticle (ENP) in the environment is essential for accurate assessment of their aquatic toxicity. It is estimated that there are more than 1800 consumers products found in the environment, containing Nanoparticles. Due to their ultrafine invisible nature, it is very difficult and highly technical to detect them in the aquatic environment. Due to the complexity of environmental samples and the limitation of available analytical techniques, the study of the fate of the Nanoparticles in real environmental samples is challenging. Often, the detection of ENPs in surface water requires the use of multiple technologies in tandem including ultrafiltration, centrifugation and ionization techniques to identify the nano elements. As part of this thesis research, a systematic review of the procedures and techniques that researchers are currently using for detection as well as characterization of the nano contaminants in surface waters are studied. Besides, synthetic samples with standard ENPs in distilled water are used to understand the dispersion fate behavior of ENPs under the controlled matrix of aquatic chemistry. The analysis of dispersion and aggregation was carried out using DLS (direct light scattering) as well as induced coupled plasma (ICP) -atomic emission spectroscopy (AES) at discrete time of sonication. Results clearly showed that the dispersion of the ENPs is very small but increased with time of sonication. Among the metallic analytes studied, Copper had better dispersion compared to the rest of the ENPs studied. In general, aggregation of the particles increased initially, but later after 3 hours of sonication, it started decreasing
Vehicular accident occurrence analysis and prediction
Get PDFVehicular accidents within Tennessee increased by 25% within 2009-2019 according to Tennessee’s Integrated Traffic Analysis Network. Accidents rank in the top three causes of accidental death across all ages in the U.S, and in 2017 accounted for 11.9% of all deaths by injury, the National Vital Statistics Report and Center for Health Statistics report. Accidents represent a massive cost in economics with 12.5 million in damages within 2018 from statistics from National Safety Council. These statistics indicate need for thorough investigation into reduction of accidents in our society. This thesis focuses on that need, with introduction of a novel predictive model based on historical accident occurrence in Hamilton County, Tennessee. The use of weather forecasts, roadway geometrics, and aggregated variables aids in creation of predictions for future accident occurrence. Additionally, an application is presented for use by local law enforcement and emergency services to assist resource deployment based upon predictions
Association of heart rate variability with perceptual-motor measures among ROTC cadets
Get PDFNeural processes underlying situational awareness share circuits with those that regulate autonomic function. Heart rate variability may provide an important indicator of cognitive-motor performance capabilities in challenging situations