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Cambio de código, confianza y conexión: Cambio de código en la comedia de Gabriel Iglesias
No full textThe author of this study presents a qualitative content analysis of Gabriel Iglesias’ use of code-switching within his comedy performances, specifically in two of his Netflix stand-up specials, “Gabriel Iglesias: I’m Sorry for What I Said When I Was Hungry” (2016) and “Gabriel ‘Fluffy’ Iglesias: One Show Fits All” (2019). This study examines how Gabriel Iglesias asserts his authority as a Latinx performer to his primarily Spanish-speaking audience. In this analysis, I argue that the code-switching in Gabriel Iglesias’ comedy is an intentional act to build trust with the end goal of communicating humor with both his English-speaking and Spanish-speaking audiences. This study found that Gabriel Iglesias intentionally code-switches to Spanish in three distinct instances: when using personal idioms, to maintain authenticity in narratives, and when speaking directly to or about his audience
Tornadoes in Rural Areas vs Urban Areas
No full textThe proposed research question asked, “do tornadoes touch down in rural areas more excessively than urban areas?” The goal of the research is to find out if tornadoes do, in fact, touch down in rural areas more than urban areas. Many families have lost their homes due to tornado damage, so it is important to see where tornadoes most commonly strike, so residents can steer clear of those areas, plus it is important to see which states hardly, if any, see tornadoes at all. The research was done by pulling data from the website for NOAA that showed the exact location that every tornado touched down during the last week of May 2019 as well as the last week of June 2019. This data was pulled into ArcGIS Pro along with a county shapefile and a city shapefile. These shapefiles showed the rural areas and the urban areas throughout the United States. Once the data and shapefiles were pulled into ArcGIS Pro, the findings showed that there were significantly more tornadoes that touched down in rural areas than in urban areas. In just those two weeks, the difference was 142 more tornadoes in rural areas
Digital Divide In Artifact Preservation Technology
No full textThis study\u27s main goal is to determine a digital divide in professions that preserve artefacts and records. This study will examine if professionals in the field of archeology, curation, preservation, etc struggle with the use of new technologies for digitizing artefacts and records. There are not many research studies on this topic. It would be good to understand if there is a digital divide as it would provide the evidence needed to improve the professionals abilities and access to technology in order to save and preserve more important materials digitally. I will conduct a survey and voluntary interview analysis of this issue in order to collect the most accurate information. It will include professionals in fields that use digital preservation technologies
A mixed-method triangular approach to best practices in combating plagiarism and impersonation in online bachelor’s degree programs
Get PDFThis study examines the phenomenon of plagiarism and impersonation in online course assignments. Technological advancements, coupled with lower costs and accessibility, have made online courses and programs a practical option for higher education students. Unfortunately, the increasing online enrollment and advancing technology have allowed an increase in the opportunity for students to commit the act of plagiarism and impersonation in online course assignments, thus potentially compromising the academic integrity of online degree programs. This study examines the various practices and approaches of plagiarism and impersonation made available to students. Utilizing the systemic review of literature, the researcher compiles a list of 20 best practices in combating plagiarism and impersonation in online course assignments. A Delphi method approach is employed, utilizing the expertise of professors who teach in fully online bachelor’s degree programs. The 20 best practices established through the literature review will be narrowed down to ten best practices via an ordinal ranking questionnaire using a two-round format. The questionnaire distribution occurs via e-mails. Researching professors that teach in fully online bachelor’s degree programs is how the researcher will obtain the e-mails. The first-round e-mail consists of the consent form and the original set of 20 best practices. In addition, a link to the Qualtrics ranking survey will be included in the e-mail. The second-round e-mail consists of the updated 15 best practices ranked from the initial e-mail and a link to the ranking survey. After completing the second round, the establishment of the ten best practices for reducing plagiarism and impersonation in online assignments will emerge. To further validate the 10 best practices, the researcher interviews 10 professors that participated in the original Delphi study. The original consent form includes a link for the participants to access if they select to participate in the interview. After verifying the professors’ intent to participate, a consent form will be obtained. The interviews will be conducted and recorded virtually through zoom. The recordings will be deleted once they are transcribed. This study potentially benefits all online degree programs by establishing the ten best practices for reducing plagiarism and impersonation in online assignments
A path planning framework for multi-agent robotic systems based on multivariate skew-normal distributions
Get PDFThis thesis presents a path planning framework for a very-large-scale robotic (VLSR) system in an known obstacle environment, where the time-varying distributions of agents are applied to represent the multi-agent robotic system (MARS). A novel family of the multivariate skew-normal (MVSN) distributions is proposed based on the Bernoulli random field (BRF) referred to as the Bernoulli-random-field based skew-normal (BRF-SN) distribution. The proposed distributions are applied to model the agents’ distributions in an obstacle-deployed environment, where the obstacle effect is represented by a skew function and separated from the no-obstacle agents’ distributions. First, the obstacle layout is represented by a Hilbert occupancy classification, which can be modeled by a Bernoulli random field and approximated from observation data. Then, we construct the BRF-SN distributions from the approximated BRF and the agents’ no-obstacle distributions, which can be modeled by a parametric distribution, e.g., the multivariate normal distributions or Gaussian mixture distributions. To learn unknown parameters from given samples, an Expectation-Maximization (EM) approach was used to minimize the upper bound of the negative log likelihood (NLL) function. Finally, to implement a time-varying path planning framework, two path-planning method are applied, an artificial potential field (APF) method for the macroscopic distribution trajectory was proposed based on l2 norm function and Cauchy-Schwarz Divergence, also a displacement interpolation (DI) method is applied for the BRF-SN distribution.
This thesis involves no human subjects, surveys, or interviews, proposed framework performance is demonstrated in a simulated virtual environment.
Index Terms – Skew normal mixture model, Bernoulli-random-field based skew-normal, path-planning, multi-agent robotic system, expectation-maximization, artificial potential field
