Digital Commons Network^™

Twitter Policing, Hemanth Kumar Medisetty

Electronic Theses, Projects, and Dissertations

Police departments are frequently utilizing social media platforms to actively interact with the public. Social media offers an opportunity to share information, facilitate communication, and foster stronger connections between police departments and the communities they serve. In this context sentiment analysis of social media data has become a tool, for identifying sentiments and tracking emerging trends.

This project utilizes sentiment analysis to examine the social media interactions with particular data obtained from the Twitter (X). Initially, the project gathers social media data, from twitter mentioned accounts on Twitter utilizing web scraping techniques. Afterwards, we perform a thorough sentiment analysis using …

Building Efficacy In Special Educators: An Examination Of Basic Readiness Factors, Clarice Wright Edwards

Electronic Theses and Dissertations

This phenomenological study examined the perceptions of self-efficacy of elementary special education teachers (SETs) providing services for students with disabilities (SWD) in the general education classroom setting. Additionally, this study explored the effect of job-embedded supports and the skill sets deemed essential to meet the needs of SWDs. Understanding methods that can enhance the skill sets and pedagogical knowledge of SETs beyond teacher preparation can provide schools and school districts with opportunities to build highly efficacious teachers and improve student outcomes. Participants were asked about the perceived impact of teacher preparation programs on the self-efficacy of practicing SETs and about …

A Mathematical App For The Conceptual Understanding Of Area And Perimeter, Jumela F. Sarmiento, Debbie Marie B. Verzosa, Maria Alva Q. Aberin, Ma. Louise Antonette De Las Penas, Agnes D. Garciano, Juan Carlo F. Mallari, Mark Anthony C. Tolentino

Mathematics Faculty Publications

This paper discusses an app that was developed to build a strong understanding of the concepts of area and perimeter in students. An important feature of the app is the three-component feature which highlights progressive learning: Explore, designed for the learning of the conceptual understanding of area and perimeter; Apply, where area and perimeter concepts are applied; and Create intended for constructing representations to develop higher order thinking skills. The pedagogical basis for the creation of the app, the game design elements employed in the app as well as the integration of the app in the classroom will be presented.

Technological Tools For The Teaching And Learning Of Statistics, Mark Anthony C. Tolentino, Juan Carlo F. Mallari, Maria Alva Q. Aberin, Ma. Louise Antonette De Las Penas, Agnes D. Garciano, Jumela F. Sarmiento, Debbie Marie B. Verzosa

Mathematics Faculty Publications

Statistics and its applications form an integral part of STEM education. In the literature, it is shown that technology is valuable in supporting the teaching and learning of statistics. This paper discusses some technological tools that have been developed to support statistics education in the grade school, junior high school, and senior high school levels. It describes the design and pedagogical basis of these tools, and how these may be integrated in the classroom.

A Visualization App On Proving Geometric Concepts, Ma. Louise Antonette N. De Las Peñas, Debbie Marie B. Verzosa, Maria Alva Q. Aberin, Agnes D. Garciano, Jumela F. Sarmiento, Mark Anthony C. Tolentino, Juan Carlo F. Mallari

Mathematics Faculty Publications

This paper discusses the description, design and pedagogical basis of a mathematical app called Two Column Proof which provides students a framework for writing proofs of geometric statements. The app focuses on proving concepts on: properties of parallelograms, conditions that determine when a quadrilateral is a parallelogram, properties on trapezoids and kites for high school mathematics. It employs visual representations for students to understand the statement or reason of each given line in the proof, strengthening their logical and mathematical knowledge needed in the proof construction.

Design Of A Mobile App To Promote Understanding And Fluency In Finding The Equation Of A Line, Agnes D. Garciano, Maria Alva Q. Aberin, Ma Louise Antonette N. Delaspeñas, Juan Carlo F. Mallari, Jumela F. Sarmiento, Mark Anthony C. Tolentino, Debbie Marie B. Verzosa

Mathematics Faculty Publications

This paper focuses on the design of a mobile app called Pick or Fish that fosters comprehension and mastery of the concepts of slopes, y-intercepts and equations of lines. The app's pedagogical value lies in its potential to help students understand and become proficient in these concepts. The app is suitable for use on low-cost mobile devices. It functions within an engaging game-like setting featuring visual elements that enable students to see the effect of parameter changes on the direction of a line. The beginner and advanced levels of the app have scaffolding features that gradually introduce the students to …

A Multi-Channel Search For Signatures Of Ev2-Scale Sterile Neutrinos In Icecube, Benjamin Randolph Smithers

Physics Dissertations - Archive

The IceCube Neutrino Observatory is a cubic-kilometer-scale neutrino observatory built using a gigaton of instrumented ice near the Amundsen-Scott South Pole Station in Antarctica; it measures the Cherenkov light emitted by the daughter particles of deep inelastic scattering interactions occurring inside and around the detector from neutrinos of both astrophysical and atmospheric origin. For eV2-scale sterile neutrino models, matter-effects can yield resonant muon antineutrino to sterile oscillations for TeV-scale up-going neutrinos. For certain combinations of mixing angles, this is expected to yield resonant muon antineutrino to tau antineutrino oscillations at the same energies and angles as the muon neutrino disappearance. …

Measurement, Modeling, And Analysis Of The Energy Spectra Of Electrons And Annihilation Gammas Resulting From Low Energy Positron Irradiation Of Clean And Adsorbate Covered Surfaces, Sima Lotfimarangloo

Physics Dissertations - Archive

This dissertation presents measurements and theoretical modeling demonstrating the capability of Doppler Broadened annihilation gamma Spectroscopy (DBS) to provide element-specific information from the topmost atomic layer of surfaces that are either clean or covered with adsorbates or thin films. Our measurements show that the energy spectra of Doppler-shifted annihilation gamma photons emitted following the annihilation of positrons from the topmost atomic layers of clean gold (Au) and copper (Cu) differ significantly. With the aid of the positron annihilation-induced Auger electron spectroscopy (PAES) performed simultaneously with DBS, we show that measurable differences between the Doppler broadened gamma spectra from Au and …

Growth Rates, Morphology, And Potential For Mariculture Of The Southern Population Of Crassostrea Virginica In The Lower Laguna Madre, Texas, Jerad Lee Fuelling

Theses and Dissertations

The Eastern Oyster also known as Crassostrea virginica, is an important resource here in the United States. Historically, this species has been overfished, poorly managed, and plagued by disease. Oyster mariculture is a growing industry here in the United States and is a sustainable solution to producing oysters. Texas has become the last coastal state to legalize oyster mariculture which means there is now a vast coastline with many unique bay systems that are open to this industry. One bay system that is particularly unique is the Lower Laguna Madre which is a hypersaline lagoon. Little is known about …

Thin Film Piezoelectric Energy Harvesting Nanostructured Materials: Tailoring Size, Porosity, Morphology Of Zinc Stannate Perovskites (Abx3), Christopher Munoz

Theses and Dissertations

Three dimensional (3D) piezoelectric zinc stannate (ZnSnO3) nanoweb arrays are synthesized using a combination of treatment methods deposited in PDMS thin films for electrochemical analysis of its piezoelectric response. Advantages of hydrothermal, molten salt, and solvothermal synthesis methods were leveraged to facilitate several chemical and surface engineering techniques. The combination of these treatments reduce the size of zinc stannate to approximately ~40nm-80nm weblike networks, much smaller than previously reported ZnSnO3 sub-micro cubes. Scanning electron microscopy (SEM) and X-Ray Diffraction (XRD) analysis reveal a mesoporous protonated tristannate (H2Sn3O7) nanoweb template with connecting wirelike strands having diameters ranging from 12-27nm across and …

Electrolysis Degradation Of Cyanuric Acid In Wastewater At Cu/Go Cathodes, Chioma Chinwe Nwakanobi

Theses and Dissertations

This work evaluates the development of electrochemical processes for the oxidative degradation of persistent organic chemicals in waste waters, specifically the oxidation of cyanuric acid in the presence of NaCl at Cu/GO cathodes and Ti anodes. The experiment used a graphene oxide doped copper mesh cathode to examine different concentrations of cyanuric acid (30 mg/L, 40 mg/L, and 50 mg/L) and various concentrations of NaCl electrolyte (0.007mol/L, 0.03mol/L, 0.07mol/L, 0.1mol/L, and 0.2mol/L). In addition, the effect of pH (2, 4, 6, and 8), and applied current (0.200A, 0.150A and 0.100A) were studied. The Cu/GO electrode played a central role in …

Enhancing Time Series Hashing Performance Via Deep Orthogonal Hashing, Mahmudul Hasan Robin

Theses and Dissertations

Deep hashing has been widely used for efficient retrieval and classification of high-dimensional data like images and text. However, its application to time series data is still challenging due to the data’s temporal nature. To tackle this issue, a new deep hashing method has been proposed that generates efficient hash codes and enhances the time series hashing performance using a ResNet model with Orthohash (Cosine Similarity Loss). The proposed method uses one loss architecture while using ResNet model for efficient hashing. It uses the Character Trajectories dataset to extract discriminative features from the time series data. These features are then …

Robust Uncertainty Estimation Framework In Deep Reinforcement Learning For Active Slam, Bryan Joseph Pedraza

Theses and Dissertations

Autonomous mobile robots are essential in various domains such as industry, manufacturing and healthcare. Navigating autonomously and avoiding obstacles are crucial tasks that involve localizing the robot to explore and map unknown environments without prior knowledge. Simultaneous localization and mapping (SLAM) present significant challenges. In this study, we introduce a new approach to address robust navigation and mapping of robot actions using Bayesian Actor-Critic (A2C) reinforcement learning. The A2C framework combines policy-based and value-based learning by dividing the model into two components: (1) the policy model (Actor) determines the actions based on the state, and (2) the value model (Critic) …

Relationship Between Socioeconomic Status And Incidence Of Specific Learning Disability: A Quantitative Study, Nora Nevarez

Theses and Dissertations

This quantitative study used a linear regression model to determine if a relationship exists between one independent variable (i.e., Socioeconomic Status) and one dependent variable (i.e., Specific Learning Disabilities). State level data was collected from publicly available databases in the State of Texas that delineate the percentage of students diagnosed with and placed in special education under the umbrella of Specific Learning Disabilities. These percentages were aggregated into the 20 Texas Educational Regional Service Centers. Additionally, national data was collected from publicly available databases listing the percentage of students at or under the age of 18 years old …

Intellibeehive, Christian Ivan Narcia-Macias

Theses and Dissertations

Utilizing computer vision and the latest technological advancements, in this study, we developed a honey bee monitoring system that aims to enhance our understanding of Colony Collapse Disorder, honey bee behavior, population decline, and overall hive health. The system is positioned at the hive entrance providing real-time data, enabling beekeepers to closely monitor the hive's activity and health through an account-based website. Using machine learning, our monitoring system can accurately track honey bees, monitor pollen-gathering activity, and detect Varroa mites, all without causing any disruption to the honey bees. Moreover, we have ensured that the development of this monitoring system …

Robust And Uncertainty-Aware Image Classification Using Bayesian Vision Transformer Model, Fazlur Rahman Bin Karim

Theses and Dissertations

Transformer Neural Networks have emerged as the predominant architecture for addressing a wide range of Natural Language Processing (NLP) applications such as machine translation, speech recognition, sentiment analysis, text anomaly detection, etc. This noteworthy achievement of Transformer Neural Networks in the NLP field has sparked a growing interest in integrating and utilizing Transformer models in computer vision tasks. The Vision Transformer (ViT) model efficiently captures long-range dependencies by employing a self-attention mechanism to transform different image data into meaningful, significant representations. Recently, the Vision Transformer (ViT) has exhibited incredible performance in solving image classification problems by utilizing ViT models, thereby …

Electromagnetic Field Analysis, Materials Characterization, And Advanced Modeling Of Modern Guitar Pickups, Luis Alonso Villarreal

Theses and Dissertations

This Thesis establishes the foundations of modern guitar pickup theory, enhancing current pickup design by an increase in voltage output, reduction of DC resistance, and a reduction of production costs. This research investigates factors that have received insufficient attention, such as the performance of different magnetic materials, magnet geometry, bobbin geometry, metal effects, etc. An equation to calculate the output of guitar pickups is developed. Additionally, this work constructs a modern pickup using the techniques developed in this thesis incorporating theory and advanced modeling techniques to simulate changes in performance and interactions with different magnetic materials and geometries. The new …

Using Statistical Clustering Of Trajectory Data To Support Analysis Of Subject Movement In A Virtual Environment, Martín Alejandro Galicia Avila

Theses and Dissertations

The rising use of virtual reality software requires new methods of spatiotemporal analysis to enhance the user experience. This investigation is focused on forming clusters from spatiotemporal trajectories within a virtual environment and analyzing them in search of human immersion and behavior insights. The cluster centroids are plotted and analyzed to identify associations with the trajectories and user demographics.

Effects Of The Build Orientation And Support Patterns On The Geometric Accuracy In Printing Parts With Overhang Structure: An Experimental Study, Bala Murali Krishna Mohan

Theses and Dissertations

Additive manufacturing is becoming increasingly popular in industries such as manufacturing due to its ability to use raw materials more efficiently and require less machining than traditional methods(Calignano et al., 2017). However, constructing overhanging structures in additive manufacturing can be challenging, potentially affecting the overall geometric quality of the printed components. The objective of this study was to identify the most effective printing orientation for overhanging designs in Fused Deposition Modeling (FDM) using two different support structures. To achieve this, the researchers used a laser scanner to collect point cloud data and conducted a comparative study to determine the …

Meeting Students’ Needs To Improve Motivation And Higher Academic Achievement In Rio Grande Valley Schools, Tanya Jessica Reyes

Theses and Dissertations

Educational systems are to prepare students for future success in our ever-changing world. Administrators must realize that before a student is willing to learn, crucial needs must be met, especially in low-socioeconomic areas such as the Rio Grande Valley. Some basic needs consist of food and shelter, which are vital for survival. Other needs deal with one’s social and emotional needs that support a child's safety, sense of belonging, and their self-esteem. In this study, focus groups were conducted with sixth, seventh, and eighth grade student participants that gathered the phenomenon of their experiences and their fulfillment of needs …

The Importance Of Emotional Intelligence And Leadership Development In Principal Efficacy, Lorine Olivarez Bazan

Theses and Dissertations

Recently, public schools have seen an increase in obstacles and challenges in the wake of the COVID-19 pandemic, and school leaders have had to pivot and adjust to meet these ever-changing demands (McLeod & Dulsky, 2021). Principals in today’s schools have had to discover new and innovative ways to successfully lead, motivate and support their school communities. This emerging leadership includes the leader’s ability to utilize emotional intelligence and leadership skills effectively and intentionally.

The purpose of this qualitative study was to take a deeper look at investigating the school principal’s utilization of emotional intelligence and effective leadership skills. This …

Level Of Opportunity For Translanguaging In A One-Way Dual Language Program, Cristina Flores

Theses and Dissertations

In the context of language diversity in schools, this research underscores the persistence of monolingual academic standards despite linguistic variety. Bilingual education, historically intertwined with sociopolitical agendas aligning with dominant societal power structures, necessitates a paradigm shift. Bilingual educators must empower students to utilize their complete linguistic repertoire, fostering creative language expression through translanguaging (Sánchez et al., 2018, p.13). This approach challenges superficial language norms, potentially deviating from the standard language codified by a powerful central group.

The study delves into the types of language practices teachers permit, promote, or prohibit and examines teachers' perceptions regarding the constraints of a …

Strategies Community College Mexican American Adult College Algebra Students Use When Graphing Function Transformations, Roxana Pamela Jimenez

Theses and Dissertations

This qualitative case study pursued to describe the different strategies Mexican American adult students in a local community college used to graph function transformations. Participants in the study were purposefully selected using a criterion sampling to ensure participants were atypical, above average students between the ages 18-22, and had a final course average of 89.5-100 in College Algebra. Three research questions were examined 1) In what ways do Mexican American adult college students graph a function transformation? 2) Which strategies do students implement when graphing a function transformation? Qualitative research methods using think aloud semi-structured interviews were used in this …

A Combinatorial Proof Of Supercranks For Partitions With A Fixed Number Of Parts, Jacob J. Gutierrez

Theses and Dissertations

In a previous paper by Eichhorn and Kronholm, a selection of supercranks for p(n,m) was established by generating functions. In this paper we will reprove this result with combinatorial witnesses for the selection of supercranks via integer lattice points.

Attitudes Towards Mathematics Of Developmental Mathematics Students In A Community College, Benjamin Ortiz

Theses and Dissertations

Reformations to developmental mathematics aim to remove barriers for students entering higher education. Challenges like costly multi-course sequences and high failure rates prohibit students’ access to college-level math courses and prevent degree or certification completion. Understanding factors that foster student success is critical to increase student success. This study focuses on students’ attitudes towards mathematics, utilizing the novice-expert continuum through Code et al.’s Mathematical Attitude and Perceptions Survey (MAPS) instrument. Student expertise scores, including all MAPS dimensions and specific dimension scores, were assigned. Kruskal-Wallis Rank-Sum tests identified differences in student populations by course and attitude dimension. …

Case Studies Of Algebra 1 Teachers Selection And Implementation Of Mathematics Tasks Toward Situated Learning, Luis Román Sauceda

Theses and Dissertations

Mathematical tasks are vital in active learning, especially in situated learning. Adequate selection and appropriate implementation of tasks are steps toward success in engaging students for active learning. This study explored how a professional development (PD) workshop influences teacher participants’ capabilities in selecting, redesigning, implementing, and reflecting on mathematical tasks to promote situated and active learning. The teacher participants were Algebra 1 teachers from a South Texas secondary school. During the workshop, participants developed and implemented activities after being shown situated learning strategies to promote student-centered learning. They were required to design hypothetical dialogues to simulate their class practice before …

Quasipolynomials And The Unimodality Of Gaussian Polynomials, Paul Marsh

Theses and Dissertations

We illustrate a method to prove the unimodality of Gaussian polynomials ${N+m \brack m}$ for $m = 5$ and $6$, building upon Dr. Brandt Kronholm's work, which proved unimodality for $m = 2,3,$ and $4$. Our approach involves viewing coefficients $p(n,m,N)$ of Gaussian polynomials $N+m \brack m$ based on how far away $n$ is from the central coefficient $p(\lfloor\frac{mN}{2}\rfloor,m,N)$ and then creating generating functions for those coefficients. We then take the difference of neighboring generating functions and change those generating functions into quasipolynomials to verify that their coefficients are non-negative. While the generalization of these generating functions for the coefficients …

An Automatic Solver For Optimal Control Problems, Marcel Efren Benitez

Theses and Dissertations

Optimal control theory is a study that is used to find a control for a dynamical system over a period of time such that a objection function is optimized. In this study we will be looking at optimal control problems for ordinary differential equations or ODEs and see that we can use an automatic solver using the forward-backward sweep using Matlab to solve for them from an 1 dimension to bounded cases and to nth dimension cases.

Mathematical Evaluation Of Ulnar Nerve Somatosensory Evoked Potentials (Sseps), Maribel Carmen Gomez

Theses and Dissertations

As the number of individuals suffering with low back and neck pain rises, we find people undergoing spinal procedures more often. In means, of safeguarding the patient and their neurological structures during the procedure intraoperative neuro-physiological monitoring (I.O.M) has been more widely used amongst surgeons orthopedic and neuro alike. During these procedures, a modality widely used for both low back and neck surgery is somatosensory evoked potentials (SSEPs). The aim of neuro-technicians is to obtain a baseline waveform that can be considered present and reliable. When obtaining SSEPs the technician can encounter obstacles with ’noisy’ wave-forms due to …

A Case Study Of Student And Faculty Experiences In A High-Achieving Early College High School Along The Texas-Mexico Border, Kelly Louis Stuart

Theses and Dissertations

This study explores the high academic achievement of Excelencia Early College High School (EECHS), located along the Texas-Mexico border. An open-enrollment public school, EECHS serves students who are characteristic of the lower Rio Grande Valley. These include students of low socioeconomic backgrounds, minorities, first-generation, and those typically underserved by higher education. Over two years, seven student focus-group interviews and fifteen faculty personal interviews were conducted. These interviews addressed key research questions such as: What are the lived experiences of students and faculty at this high-achieving school? What motivates students to overcome challenges and …