Regulatory Mechanisms in Biosystems (E-Journal - Dnipro National University)
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Open Access Publication Fund Annual Report: 2023 - 2024
No full textThe Open Access Publication Fund at Texas A&M University-Corpus Christi underwrites author publication charges for open access scholarly journal articles, book chapters, and monographs. The fund seeks to encourage greater participation in open access publishing so that Texas A&M University-Corpus Christi’s research is free of subscription barriers, and we support the adoption of open science practices that can help sustain Texas A&M University-Corpus Christi’s status as an R2 Doctoral University. Numerous research studies show that OA publishing increases the visibility of publications, thereby increasing visibility, citations, and the use of faculty research all of which enhance the reputation of TAMU-CC and its faculty.
Major outcomes for 2023 - 2024:
• The Open Access Publication Fund distributed funds for 51 faculty, staff, and graduate students from all 6 colleges as well as the Harte Research Institute for the Gulf of Mexico Studies, the Conrad Blucher Institute, and the Center for Water Supply Studies.
• The Open Access Publication Fund supported the publication fees for 25 articles and one book chapter for a total amount of funding distributed of $52,624.69.Mary and Jeff Bell Library, TAMU-CC
Office of the Provost, TAMU-CC
Division of Research and Innovation, TAMU-C
Female empowerment through children's literature: A content analysis of the 2023 rise feminist book project list
No full textA dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Curriculum and Instruction.This dissertation studied the words and illustrations of fictional picture books from the 2023 Rise: A Feminist Book Project for Ages 0-18 (RISE) for children aged four to eight to confirm the presence of female characters with positive character traits such as strong sense of self, self esteem, and determination. This study used a content analysis of a predetermined selection of books to determine whether there are strong positive female characters that could contribute to the positive development of girls’ self-concept. Much of recent children’s literature has been dominated by male characters. Females are underrepresented in children’s literature. They are found in less significant roles in the story, in illustrations, and titles. A qualitative content analysis was conducted in which the researcher used an updated version of an existing research instrument. The words and illustrations of fictional picture books within the data corpus were analyzed, including character traits, relationships between characters, and the effect problems had on the main character in each literature selection. The study found multiple themes: 1. empowerment themes of positive female role models and a strong sense of self; 2. feminist themes of determination to achieve goals, gender equality and gender norms, and collective action. From the findings, several assertions were created about books from the 2023 Rise: A Feminist Book Project for Ages 0-18 (RISE): 1. words and illustrations support positive character traits in the female main characters; 2. educators can confidently choose these books for different perspectives and admirable traits.Educational Leadership, Curriculum & InstructionCollege of Education and Human Developmen
Habitat Provision Differs Across Subtidal Reefs Varying in Location Within the Estuarine Landscape
No full textMathematics education researchers’ practices in interdisciplinary collaborations: Embracing different ways of knowing
No full textMathematics education researchers (MERs) use practices unique to the mathematics education discipline to conduct their work. MERs’ practices, i.e., ways of being, interacting, and operating, define the field of mathematics education, are initially learned in doctoral preparation programs, and are encouraged and sanctioned by conferences and publications. Disciplinary practices facilitate MERs’ interactions within mathematics education. When working in interdisciplinary groups, differences in disciplinary ways of being, interacting, and operating can create challenges with completing research and other work. Since MERs’ engagement in interdisciplinary collaborations is encouraged and can result in products contributing to the evolution of the mathematics education discipline, it is important to explore what practices MERs use in interdisciplinary collaborations. We interviewed four MERs who led international interdisciplinary collaborations and used qualitative content analysis to create descriptions of practices described by MERs in their collaborations. Five practices were common between the MERs in interdisciplinary collaborations. MERs conducted interdisciplinary work by using practices that allowed them to situate themselves and others in the group (i.e., being practices), develop ideas (i.e., interacting practices), work towards common goals, and use structures to get the work done (i.e., operating practices). We argue that MERs developed new practices to position themselves and others, interact with practitioners from other disciplines, and get interdisciplinary work done. This study contributes to the evolution of the mathematics education discipline by offering five practices that can orient MERs to conducting interdisciplinary work and discussing how MERs experience interdisciplinary collaborations beyond providing mathematics education expertise
Advanced Computer Architecture
No full textIntroduction: What is Computer Performance? Execution Time, Instructions Per Second (IPS), Clock Speed (GHz), Clock Cycles Per Instruction (CPI
Ciliary propulsion through non-uniform flows
No full textThe classical paper by Lighthill (Commun. Pure Appl. Maths, vol. 109, 1952, p. 118) on the propulsion of ciliated microorganisms has become the reference against which many modern studies on swimming in low Reynolds number are compared. However, Lighthill’s study was limited to propulsion in a uniform flow, whereas several biologically relevant microorganisms experience non-uniform flows. Here we propose a benchmark for ciliary propulsion in paraboloidal flows. We first consider the axisymmetric problem, with the microorganisms on the centreline of the background flow, and derive exact analytical solutions for the flow field. Our results reveal flow features, swimming characteristics and performance metrics markedly different from those generated in a uniform flow. In particular, the background paraboloidal flow introduces a Stokes quadrupole singularity at the leading-order flow field, generating vortices. Moreover, we determine the necessary conditions on the strength of the background flow for optimal power dissipation and swimming efficiency. We then consider the more general case of a microorganism off the centreline of the background flow. In this case, the squirmer experiences a paraboloidal, linear shear and uniform flows due to its position relative to the flow’s centreline. Our findings show that while the linear shear flow does not affect the translational and rotational velocities of the squirmer, it does influence the velocity field and, therefore, the power dissipation
Fraud detection using optimized machine learning tools under imbalance classes
No full textA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in MathematicsFraud detection is considered to be a challenging task due to the changing nature of fraud patterns over time and the limited availability of fraud examples to learn such sophisticated patterns. Thus, fraud detection with the aid of smart versions of machine learning (ML) tools is essential to assure safety. Fraud detection is a primary ML classification task; however, the optimum performance of the corresponding ML tool relies on the usage of the best hyperparameter values. Moreover, classification under imbalanced classes is quite challenging as it causes poor performance in minority classes, which most ML classification techniques ignore. Thus, we investigate four ML techniques, namely, logistic regression, decision trees, random forest, and extreme gradient boost, that are suitable for handling imbalance classes to maximize recall and simultaneously reduce false negatives. First, these classifiers are trained on two original benchmark unbalanced fraud detection datasets, namely, phishing website URLs and fraudulent credit card transactions. Then, three synthetically balanced datasets are produced for each original data set by implementing the sampling frameworks, namely, random under sampler, synthetic minority oversampling technique (SMOTE), and SMOTE edited nearest neighbor (SMOTEENN). The optimum hyperparameters for all 16 experiments are revealed using the method RandomzedSearchCV. The validity of the 16 approaches in the context of fraud detection is compared using two benchmark performance metrics, namely, area under the curve of receiver operating characteristics (AUC ROC) and area under the curve of precision and recall (AUC PR). For both Malware datasets, phishing website URLs, and credit card fraud transaction datasets, the results indicate that extreme gradient boost trained on the original data shows trustworthy performance in the imbalanced dataset and manages to outperform the other three methods in terms of both AUC ROC and AUC PR.Mathematics & StatisticsCollege of Scienc
Texas teacher retention based on principal use of influence tactics
No full textA dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Education in Educational Leadership.Due to the continuous decrease in teacher retention rates in the state of Texas, it is important to understand principals’ use of influence tactics and its effects on teacher retention. The purpose of this quantitative, nonexperimental, cross-sectional, descriptive design (Creswell & Creswell, 2018; O’Dwyer & Bernauer, 2013) study was to examine principals’ use of influence tactics on teacher retention, as well as identify differences found in gender and the total number of years within teacher retention rates. The theoretical framework used in this research was Yukle and Falbe’s influence tactic theory. The sample consisted of 50 teachers from five school districts in the greater Corpus Christi, TX area with a 784 zip code. Participants completed four demographic questions, along with the Influence Behavior Questionnaire (IBQ-G). An independent samples t test and one-way ANOVA were used to analyze the data. This study included three research questions. The first research question used an independent samples t test and the following two research questions used a one-way ANOVA. Results did not indicate a statistically significant relationship comparing the mean scores of the 11 influence tactics with teacher gender in the first research question, nor was there a statistically significant relationship in the third research question that focused on the difference in a teacher’s total number of years based on a principal’s use of influence. The second research question compared the principal use of each of the 11 influence tactics from the retention rate at a campus and results showed two influence tactics with significant results.Educational Leadership, Curriculum & InstructionCollege of Education and Human Developmen
South Texas Transgender Photovoice Project
No full textCollege of Liberal Arts, TAMUCC Honors Program, Faculty Mentor: Dr. Daniel BartholomayLittle research has been done on transgender/non-binary individuals' experiences with healthcare in conservative, rural, and religious areas such as South Texas. This study investigates these experiences to close the literature gap and enhance the scholarly conversation about the issue. Using a type of community-based participatory research called photovoice, participants could use photographs to explain their experiences with healthcare in South Texas as a transgender/non-binary individual. We found many themes throughout the interviews such as deadnaming, misgendering, and avoiding the doctor’s office