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Verification In Generalizations Of The 2-Handed Assembly Model, David Caballero May 2022

Verification In Generalizations Of The 2-Handed Assembly Model, David Caballero

Theses and Dissertations

Algorithmic Self Assembly is a well studied field in theoretical computer science motivated by the analogous real world phenomenon of DNA self assembly, as well as the emergence of nanoscale technology. Abstract mathematical models of self assembly such as the Two Handed Assembly model (2HAM) allow us to formally study the computational capabilities of self assembly. The 2HAM is one of the most thoroughly studied models of self assembly, and thus in this paper we study generalizations of this model. The Staged Tile Assembly model captures the behavior of being able to separate assembly processes and …


Discourses Surrounding Specific Learning Disability In Reading: An Exploration Across Special Education Policies, Martha M. Briseno May 2022

Discourses Surrounding Specific Learning Disability In Reading: An Exploration Across Special Education Policies, Martha M. Briseno

Theses and Dissertations

Individuals with disabilities have been subjected to deficit models that have led to unfair treatment, exclusion, and an unfitting education for years. Historical factors have informed policies toward the educational treatment and rights of individuals with disabilities in the United States since the 1600s. Before the enactment of The Education for All Handicapped Children Act (EAHCA) in 1975, it was common practice for children with disabilities to be segregated, excluded, and given an unsuitable education in comparison to their nondisabled counterparts. Throughout history, the language used in legislation and educational documents have compartmentalized students with disabilities based on …


A Decomposition Formula For The Multi-Soliton Solutions To The 'Good' Boussinesq Equation, Aldo Gonzalez May 2022

A Decomposition Formula For The Multi-Soliton Solutions To The 'Good' Boussinesq Equation, Aldo Gonzalez

Theses and Dissertations

In this thesis, we relate multi-soliton waves generated by the 'good' Boussinesq equation to the distribution functions in the classical linear Schrödinger equation. The linear Schrödinger equation describes the distribution of a particle or particles in a particular environment. The Schrödinger equation is linear, the superposition principle of the solutions, especially the eigenfunctions is nonlinear and we will show that we may observe similar behavior in the solutions of the Boussinesq equations for soliton waves. The work extends the study of two-soliton solutions to the Boussinesq equation to the case of three-soliton solutions. …


What Are The Testimonios Of Immigrant Students In A South Texas Middle School And How Do Their Narratives Of Schooling Emerge In Their Stories?, Jessica Marie Gonzalez May 2022

What Are The Testimonios Of Immigrant Students In A South Texas Middle School And How Do Their Narratives Of Schooling Emerge In Their Stories?, Jessica Marie Gonzalez

Theses and Dissertations

This research follows the tenets of qualitative-interpretivist research. The study focused on the following question: What are the testimonios of immigrant students in a middle school and how do their narratives of schooling emerge in their stories? The stories of immigrant students’ educational experiences attending U.S. schools, in particular South Texas Middle School, and their parent’s discourses on border crossings were taken via testimonio. The methodology was constructed from the theoretical frames of four emancipatory types of frameworks used, that consisted of Critical Race Theory, Latino/Latina Critical Theory, Subtractive Schooling, and Funds of Knowledge. …


‘Let’S Rock!’: Analyzing Music As A Literary Precursor To The Sublime In The Works Of Lynch, Jesus Ivan Gonzalez May 2022

‘Let’S Rock!’: Analyzing Music As A Literary Precursor To The Sublime In The Works Of Lynch, Jesus Ivan Gonzalez

Theses and Dissertations

David Lynch’s style of cinema is easily recognizable, it is eccentric, bizarre, and surreal. Fans and film scholars alike hail the ‘Lynchian’ aspects within his films, moments that showcase incongruous images that do not line up within our sense of reality. Within the cinema of Lynch there exists a signature space that is a pure manifestation of sublimity. Within this space, anything goes; it is typically a vile and reprehensible place that feeds off the suffering of the film’s characters.

In four of Lynch’s selected films, Eraserhead (1977), Blue Velvet (1986), Twin Peaks Fire Walk with Me (1992), …


Iterated Rascal Triangles, Jena M. Gregory May 2022

Iterated Rascal Triangles, Jena M. Gregory

Theses and Dissertations

We introduce a sequence of number triangles, {Ri} i=0 infty , such that the entries of each share a common generalized recurrence relation. R1 is the Rascal triangle and as i grows large, Ri becomes Pascal's triangle. For all i, we provide a combinatorial interpretation and find closed-term formulas for the entries of Ri . Our proofs rely on generating functions and other combinatorial arguments.


Hardware Isolation Approach To Securely Use Untrusted Gpus In Cloud Environments For Machine Learning, Lucas D. Hall May 2022

Hardware Isolation Approach To Securely Use Untrusted Gpus In Cloud Environments For Machine Learning, Lucas D. Hall

Theses and Dissertations

Machine Learning (ML) is now a primary method for getting useful information out of the immense volumes of data being generated and stored in society today. Useful data is a commodity for training ML models and those that need data for training are often not the owners of the data leading to a desire to use cloud-based services. Deep learning algorithms are best suited to run on a graphical processing unit (GPU) which presents a specific problem since the GPU is not a secure or trusted piece of hardware in the cloud computing environment.

In this paper, we will analyze …


Pentagonal Tilings Of The Plane, Ariana T. Hinojosa May 2022

Pentagonal Tilings Of The Plane, Ariana T. Hinojosa

Theses and Dissertations

Tilings are mathematical objects that allow us to use geometry to visualize interaction between objects as well as to create artistic realization of mathematical objects in the plane and in the space.

We will focus on tilings of the plane that use only one type of convex pentagonal tile each, the pentagonal tilings. There are fifteen types of pentagonal tiles, with each containing their own set of restrictions. The main result of this thesis is an interactive realization of all fifteen types of pentagonal tiles using GeoGebra.


Computational Complexity In Tile Self-Assembly, Timothy Gomez May 2022

Computational Complexity In Tile Self-Assembly, Timothy Gomez

Theses and Dissertations

One of the most fundamental and well-studied problems in Tile Self-Assembly is the Unique Assembly Verification (UAV) problem. This algorithmic problem asks whether a given tile system uniquely assembles a specific assembly. The complexity of this problem in the 2-Handed Assembly Model (2HAM) at a constant temperature is a long-standing open problem since the model was introduced. Previously, only membership in the class coNP was known and that the problem is in P if the temperature is one (τ = 1). The problem is known to be hard for many generalizations of the model, such as allowing one …


Machine Learning Tools In The Predictive Analysis Of Ercot Load Demand Data, Md Riyad Hossain May 2022

Machine Learning Tools In The Predictive Analysis Of Ercot Load Demand Data, Md Riyad Hossain

Theses and Dissertations

The electric load industry has seen a significant transformation over the last few decades, culminating in the establishment and implementation of electricity markets. This transition separates electric generation services into a distinct, more competitive sector of the industry, allowing for the introduction of greater unpredictability into the system. Forecasting power system load has developed into a core research area in power and energy demand engineering in order to maintain a constant balance between electricity supply and demand. The purpose of this thesis dissertation is to reduce power system uncertainty by improving forecasting accuracy through the use of sophisticated machine …


A Narrative Study Of Secondary After-School Robotics Experiences In The Rio Grande Valley: Empowering Students' Academic And Life Skills Through A Constructivist Approach, Lorena Cristina Lopez May 2022

A Narrative Study Of Secondary After-School Robotics Experiences In The Rio Grande Valley: Empowering Students' Academic And Life Skills Through A Constructivist Approach, Lorena Cristina Lopez

Theses and Dissertations

This narrative study investigated the experiences of three Hispanic students in South Texas who participated in after-school robotics programs in secondary school and discover the role these experiences had on their academic and life skills. Data were collected through individual semi-structured interviews with one female participant and two male participants in the Rio Grande Valley. The data were analyzed using the NVivo software to identify patterns and themes amongst the participants followed by a narrative analysis of the participants’ stories, which was guided by the emerging themes.

The findings showed that the secondary after-school robotics programs played a role in …


Total Synthesis Of Mansouramycin A, Abigail M. Zepeda May 2022

Total Synthesis Of Mansouramycin A, Abigail M. Zepeda

Theses and Dissertations

In 2009 bioactive compounds from marine Streptomyces species was isolated which resulted in deriving four isoquinoline-quinone alkaloids known as Mansouramycins A-D. There have been reports that there are 36 non-small cancer cells against cytotoxicity in Mansouramycins A-C in lung cancer, breast cancer, melanoma, and prostate cancer cells. Reports that have conducted total syntheses were all specific to a single compound only Mansouramycin A and D. However, in precedent methods, to obtain the derivatives with different substituents are limited when the substituents are on the fused-pyridine ring. Thus, a develop a systematic synthetic methods of isoquinoline-quinones, which are to be able …


Hydrologic Modeling Study To Determine Hydrologic Impact Of Resacas On The Lower Laguna Madre Watershed, Antonio L. Reyna May 2022

Hydrologic Modeling Study To Determine Hydrologic Impact Of Resacas On The Lower Laguna Madre Watershed, Antonio L. Reyna

Theses and Dissertations

During a high intensity storm events, a series of catastrophic events occur. These catastrophic events include flooding and destruction of infrastructure. Engineers have determined a method to design for high intensity storms based off hydrologic analysis of previous storms. With this data engineers can determine the outflow of major rivers and streams that may impact infrastructure. By determining the watershed engineers can predict the flow of the water and as well as the location of the outfall. In the Rio Grande Valley, water quality is very important because after rain events stormwater from cities is carried out towards the Laguna …


Mathematical And Statistical Modeling With Deep Neural Networks, Albert Romero May 2022

Mathematical And Statistical Modeling With Deep Neural Networks, Albert Romero

Theses and Dissertations

General adversarial networks (GANs) are a form of machine learning that includes two neural networks competing in a zero-sum game. One network produces artificial, while the other tries to distinguish artificial data from real. The Wasserstein general adversarial network with gradient penalty (WGAN-GP) variant of this technique is used to produce solutions for ordinary and partial differential equations.


School Leadership That Impacts Student Achievement In Blue Ribbon Schools In The Rio Grande Valley Of Texas, Sonya Y. Rodriguez May 2022

School Leadership That Impacts Student Achievement In Blue Ribbon Schools In The Rio Grande Valley Of Texas, Sonya Y. Rodriguez

Theses and Dissertations

The purpose of this qualitative multiple case study was to determine the leadership actions, behaviors, and practices of effective school leaders in Blue Ribbon Schools in South Texas who resulted in the schools receiving the distinction by the U. S. Department of Education of being a Blue Ribbon School. Data were collected through a series of interviews with principals and teachers from the selected sample of Blue Ribbon Schools in the Rio Grande Valley in South Texas. The interviews were audio recorded, transcribed, and analyzed using inductive coding to determine themes.


A Gpu Accelerated Genetic Algorithm For The Construction Of Hadamard Matrices, Raven I. Ruiz May 2022

A Gpu Accelerated Genetic Algorithm For The Construction Of Hadamard Matrices, Raven I. Ruiz

Theses and Dissertations

Hadamard matrices are square matrices with +1 and -1 entries and with columns that are mutually orthogonal. The applications include signal processing and quantum computing. There are several methods for constructing Hadamard matrices of order 2k for every positive integer k. The Hadamard conjecture proposes that there are also Hadamard matrices of order 4k for every positive integer k. We use a genetic algorithm to construct (search for) Hadamard Matrices. The initial population of random matrices is generated to have a balanced number of +1 and -1 entries in each column. Several fitness functions are implemented exploiting …


Structural Analysis Of [Ni(Dippe)] Fragment Using Computational Methods, Jennifer L. Sanchez May 2022

Structural Analysis Of [Ni(Dippe)] Fragment Using Computational Methods, Jennifer L. Sanchez

Theses and Dissertations

The structural analysis of the Nickel (Bisdiisopropylphospino)ethane, also known as [Ni(dippe)H]2, has been heavily studied in our group in collaboration with William D. Jones's group. A computational analysis of the [Ni(dippe)] fragment was performed to determine the structural relationship between the nickel center and its phosphine ligand, due to phosphines having both electronic and steric properties. The reactivity of the Nickel will be most dependent on the dippe ligand. A conformational search generated 244 conformers after a thorough minimization using Molecular Mechanic (MM) calculations where a thorough minimization was performed and then re-minimized using a SEED command until unique conformers …


Water Quality Monitoring To Assess Pollutant Loadings In Brownsville Ship Channel Watershed, Ivan Rene Santos Chavez May 2022

Water Quality Monitoring To Assess Pollutant Loadings In Brownsville Ship Channel Watershed, Ivan Rene Santos Chavez

Theses and Dissertations

The Brownsville Ship Channel (BSC) was listed as an impaired waterway from 2010 to 2018 due to screening levels of bacteria concentration. This study aims to address water quality at the three main tributary ditches draining into Brownsville Ship Channel to model present along with future pollutant loads within Brownsville Ship Channel Watershed. Load Duration Curves (LDCs) and Spatial Explicit Load Enrichment Calculation Tool (SELECT) models were developed to determine if current pollutant loads meet water quality standards stablished by the Texas Commission on Environmental Quality (TCEQ), and to estimate average daily potential E. Coli loading contribution from sub-watersheds within …


Boundary Feedback Control Of The 3d Navier-Stokes Equations, Camille Renee Vasquez May 2022

Boundary Feedback Control Of The 3d Navier-Stokes Equations, Camille Renee Vasquez

Theses and Dissertations

We present a boundary feedback stabilization of the parabolic steady state profile of the incompressible Navier-Stokes Equations in a three-dimensional channel flow. The decentralized, static boundary feedback control laws are derived using Lyapunov technique. While the theoretical results are limited to stability enhancement for small Reynolds numbers, extensive numerical simulations and visualizations demonstrate the effectiveness of the proposed feedback law even in cases when the uncontrolled flow is turbulent.


A Socio-Ecological Model To Assess Tuberculosis In Migrant Farmworkers In The Us-Mexico Border Region, Amit U. Raysoni May 2022

A Socio-Ecological Model To Assess Tuberculosis In Migrant Farmworkers In The Us-Mexico Border Region, Amit U. Raysoni

School of Earth, Environmental, & Marine Sciences Faculty Publications

The migrant and seasonal farmworker toiling in the fields and orchards of the United States of America surmounts innumerable problems daily. Some of these problems pertain to the overall health of the farmworker in addition to the various occupational hazards that he or she faces. This research paper focuses on Tuberculosis infection—both latent and active—in the migrant farmworkers in the United States with a special focus on the US-Mexico border. Using the Socio-Ecological Model as a theoretical framework, the TB health issues faced by this group are studied. The various determinants of health at every level of the Socio-Ecological Model …


Fabrication And Characterization Of Superparamagnetic Nickel Ferrite Ferrofluid, D. Karthickraja, S. Karthi, G. Ajith Kumar, D. K. Sardar, Gamage Chamath Dannangoda, Karen S. Martirosyan, Niroj Kumar Sahu, M. Prasath, R. Arunima, E. L. Girija May 2022

Fabrication And Characterization Of Superparamagnetic Nickel Ferrite Ferrofluid, D. Karthickraja, S. Karthi, G. Ajith Kumar, D. K. Sardar, Gamage Chamath Dannangoda, Karen S. Martirosyan, Niroj Kumar Sahu, M. Prasath, R. Arunima, E. L. Girija

Physics & Astronomy Faculty Publications

Because of their unique magnetic characteristics, magnetic nanoparticles are being used in various applications. We used a two-step method to create nickel ferrite ferrofluid in this study. The first step included hydrothermal preparation of oleic acid-capped nickel ferrite nanoparticles, followed by surface functionalization of the particles with citric acid, which made the nanoparticles hydrophilic. The materials' phase purity, functional groups, and magnetic behaviour were investigated. The production of mono-dispersed spherical nanoparticles with an average diameter of 9 ± 3.6 nm was shown by TEM images. With a blocking temperature of 53 K, ZFC-FC measurements verified the sample's …


Machine Learning Based Surrogate Model For Hurricane Storm Surge Forecasting In The Laguna Madre, Cesar E. Davila Hernandez May 2022

Machine Learning Based Surrogate Model For Hurricane Storm Surge Forecasting In The Laguna Madre, Cesar E. Davila Hernandez

Theses and Dissertations

Texas coastal communities are at constant risk of hurricane impacts every storm season. It is especially important to model and predict storm surge variations during hurricane and storm events. Traditionally, hurricane storm surge predictions have been the result of numerical hydrodynamics based simulations. This type of simulations often requires high amounts of computational resources and complex ocean modelling efforts. Recently, machine learning techniques are being explored and are gaining popularity in hydrologic and ocean engineering modelling fields based on their performance to model nonlinear relationships and low computational requirements for prediction. Advances in machine learning and artificial intelligence (A.I.) demand …


Monitoring Of Tool Wear And Surface Roughness Using Anfis Method During Cnc Turning Of Cfrp Composite, Md Mofakkirul Islam May 2022

Monitoring Of Tool Wear And Surface Roughness Using Anfis Method During Cnc Turning Of Cfrp Composite, Md Mofakkirul Islam

Theses and Dissertations

Carbon fiber-reinforced plastic (CFRP) is gaining wide acceptance in areas including sports, aerospace and automobile industry . Because of its superior mechanical qualities and lower weight than metals, it needs effective and efficient machining methods. In this study, the relationship between the cutting parameters (Speed, Feed, Depth of Cut) and response parameters (Vibration, Surface Finish, Cutting Force and Tool Wear) are investigated for CFRP composite. For machining of CFRP, CNC turning operation with coated carbide tool is used. An ANFIS model with two MISO system has been developed to predict the tool wear and surface finish. Speed, feed, depth of …


Laissez-Faire, Social Networks, And Race In A Pandemic, Roland Pongou, Guy Tchuente, Jean-Baptiste Tondji May 2022

Laissez-Faire, Social Networks, And Race In A Pandemic, Roland Pongou, Guy Tchuente, Jean-Baptiste Tondji

School of Economics and Finance Faculty Publications

We study the effects of race, network centrality, and policies that tolerate some level of virus spread (laissez-faire) on COVID-19 deaths in nursing homes in the United States. Our analysis uses unique data on nursing home networks and calibration-based estimates of states' preferences for health relative to short-term economic gains. Our findings suggest that laissez-faire policies increase deaths. Nursing homes with a larger share of Black residents experience more deaths, but they are less vulnerable to laissez-faire policies, especially when not central in social networks. Our findings highlight significant interactions between COVID-19 policies, race, and network structure among US seniors.


How Hard Is Bribery In Elections With Randomly Selected Voters, Liangde Tao, Lin Chen, Lei Xu, Weidong Shi, Ahmed Sunny, Md Mahabub Uz Zaman May 2022

How Hard Is Bribery In Elections With Randomly Selected Voters, Liangde Tao, Lin Chen, Lei Xu, Weidong Shi, Ahmed Sunny, Md Mahabub Uz Zaman

Computer Science Faculty Publications

Many research works in computational social choice assume a fixed set of voters in an election and study the resistance of different voting rules against electoral manipulation. In recent years, however, a new technique known as random sample voting has been adopted in many multi-agent systems. One of the most prominent examples is blockchain. Many proof-of-stake based blockchain systems like Algorand will randomly select a subset of participants of the system to form a committee, and only the committee members will be involved in the decision of some important system parameters. This can be viewed as running an election where …


Removal Of Arsenic (Iii) And Arsenic (V) From Aqueous Solution Via Common Sunflower Helianthus Annuus By Phytoremediation, Irving A. Vazquez Hurtado May 2022

Removal Of Arsenic (Iii) And Arsenic (V) From Aqueous Solution Via Common Sunflower Helianthus Annuus By Phytoremediation, Irving A. Vazquez Hurtado

Theses and Dissertations

Phytoremediation provides a cost-effective, non-invasive technique to remove contaminants from the soil and groundwater. Sunflowers are fast growing and have a showed effective at removing various pollutants from soil, including lead and other heavy metals. Health issues related to arsenic are mainly attributed to exposure of arsenite, whereas arsenate is much less toxic. The common sunflower Helianthus annuus was the species used to remove both arsenic (III) and As(V) ions from hydroponics solutions. In the present study sunflower seeds were germinated for a week, placed under the sun for a day and subsequently placed in a nutrient solution to aid …


Career And Technical Education Teacher Self-Efficacy Of Staff Development As Part Of A Beginning Teacher Induction Program: A Qualitative Research Of Cte Teacher Externs Of A South Texas School District…From The Classroom To The Job Site, And Back Again, Raul Alvarez Jr. May 2022

Career And Technical Education Teacher Self-Efficacy Of Staff Development As Part Of A Beginning Teacher Induction Program: A Qualitative Research Of Cte Teacher Externs Of A South Texas School District…From The Classroom To The Job Site, And Back Again, Raul Alvarez Jr.

Theses and Dissertations

Career and Technical Education (CTE) has proven itself through substantial research, to provide a positive impact on the U.S. economy and the job market in its college and career preparedness of high school students. However, the ability of school districts in retaining competent CTE teachers is not as reassuring. The progressive years for any beginning CTE teacher are during their initial tenure in the profession. Teacher self-knowledge is also developed during these years inclusive of the occupational reflection of either removing oneself from or continuing as a teacher. Therefore, it can be stated that it is during this period when …


Forecasting Salinity In The Laguna Madre Using Deep Learning, Martin J. Flores Jr. May 2022

Forecasting Salinity In The Laguna Madre Using Deep Learning, Martin J. Flores Jr.

Theses and Dissertations

Salinity is an important metric in the Laguna Madre for establishing the long term health of the local ecological population. By utilizing Deep Learning (DL) techniques, the predicted and forecasted salinity in the Laguna Madre is generated from data provided by the Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua satellite.

Currently, only one other DL model has been used to forecast Sea Surface Salinity (SSS), being a Recurrent Neural Network (RNN). However, the RNN model requires the prediction of a full area of salinity to function.

As such, several model architectures were tested, with the best one, being a Multi-input MPNN, utilized …


Engaging Students During Research Through The Use Of Games, Francisco Gonzalez May 2022

Engaging Students During Research Through The Use Of Games, Francisco Gonzalez

Theses and Dissertations

Engaging students during a research seminar/meeting can be a difficult challenge, and as as student myself, I can attest to how difficult actively listening to a presentation can be. As such, upon researching more ways to have an audience engaged, one of the most promising concepts is the use of games. Games, in any form, can be very engaging to a person, and even more so if there is active engagement and participation within an audience group. With this concept in mind, I decided to take it upon myself to create a game based around a theoretical computer …


Investigation Of A Simultaneaous Direct And Indirect Contact Dehumidifier Using Parallel Strings For Hdh Desalination, Josue Perez Perez May 2022

Investigation Of A Simultaneaous Direct And Indirect Contact Dehumidifier Using Parallel Strings For Hdh Desalination, Josue Perez Perez

Theses and Dissertations

Freshwater is a limited and precious resource. Currently, half a billion people in the world face sever water scarcity all year round. Humidification dehumidification (HDH) systems have received special attention among the variety of small-scale desalination technologies due to its potential to create affordable and sustainable seawater desalination, especially when combined with natural power sources such as waves, wind, and solar rays. Improvements in the development of HDH desalination systems have been achieved in recent years. Nonetheless, the improvements that have received most attention focus on solar heaters and humidifiers. Dehumidification systems have often been adapted from air conditioning condensation …