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2024

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Characterization Of Nasa Cold Atom Laboratory Potentials Using Variational Techniques, Samuel O. Oni Jan 2024

Characterization Of Nasa Cold Atom Laboratory Potentials Using Variational Techniques, Samuel O. Oni

College of Graduate Studies: Theses & Dissertations

In a recent atom-interferometry (AI) experiment, conducted aboard the NASA Cold Atom Laboratory (CAL) deployed to the International Space Station (ISS), a Bose-Einstein condensate (BEC) was formed too near to the atom chip wall for the AI experiment to be carried out. To fix this the experimentalists tuned the CAL external magnetic field and atom-chip currents so as to move the BEC away from the atom-chip wall. They then planned to turn the trap off and allow it to expand in place (since there is no gravity on the ISS) in preparation for the AI experiment. Unfortunately, when the trap …

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Reinforcement Learning: Applying Low Discrepancy Action Selection To Deep Deterministic Policy Gradient, Aleksandr Svishchev Jan 2024

Reinforcement Learning: Applying Low Discrepancy Action Selection To Deep Deterministic Policy Gradient, Aleksandr Svishchev

College of Graduate Studies: Theses & Dissertations

Reinforcement learning (RL) is a subfield of machine learning concerned with agents learning to behave optimally by interacting with an environment. One of the most important topics in RL is how the agent should explore, that is, how to choose actions in order to rate their impact on long-term reward. For example, a simple baseline strategy might be uniformly random action selection. This thesis investigates the heuristic idea that agents will learn faster if they explore by factoring the environment’s state into their decision and intentionally choose actions which are as different as possible from what they have previously observed. …

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Applications Of Predictive And Generative Ai Algorithms: Regression Modeling, Customized Large Language Models, And Text-To-Image Generative Diffusion Models, Suhaima Jamal Jan 2024

Applications Of Predictive And Generative Ai Algorithms: Regression Modeling, Customized Large Language Models, And Text-To-Image Generative Diffusion Models, Suhaima Jamal

College of Graduate Studies: Theses & Dissertations

The integration of Machine Learning (ML) and Artificial Intelligence (AI) algorithms has radically changed predictive modeling and classification tasks, enhancing a multitude of domains with unprecedented analytical capabilities. Predictive modeling leverages ML and AI to forecast future trends or behaviors based on historical data, while classification tasks categorize data into distinct classes, from email filtering to medical diagnosis. Concurrently, text-to-image generation has emerged as a transformative potential, allowing visual content creation directly from textual descriptions. These advancements are pivotal in design, art, entertainment, and visual communication, as well as enhancing creativity and productivity. This work explores three significant studies in …

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The Relation Between Disordered Eating And Perceived Stress, Tori E. Byars Jan 2024

The Relation Between Disordered Eating And Perceived Stress, Tori E. Byars

College of Graduate Studies: Theses & Dissertations

Disordered eating behavior encompasses a spectrum of maladaptive eating patterns, including emotional eating, binging, restricting, and other similar behaviors. Perceived stress is the extent that an individual perceives their demands exceed their ability to cope. Existing research has demonstrated a positive relation between high ratings of perceived stress and disordered eating behaviors (King et al., 2009; Skead et al., 2018). The current study aimed to expand this research by examining the relation between disordered eating and stress in students, workers, and those who partake in both commitments. Utilizing a single survey, participants completed assessments including the Perceived Stress Scale, the …

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Classification In Supervised Statistical Learning With The New Weighted Newton-Raphson Method, Toma Debnath Jan 2024

Classification In Supervised Statistical Learning With The New Weighted Newton-Raphson Method, Toma Debnath

College of Graduate Studies: Theses & Dissertations

In this thesis, the Weighted Newton-Raphson Method (WNRM), an innovative optimization technique, is introduced in statistical supervised learning for categorization and applied to a diabetes predictive model, to find maximum likelihood estimates. The iterative optimization method solves nonlinear systems of equations with singular Jacobian matrices and is a modification of the ordinary Newton-Raphson algorithm. The quadratic convergence of the WNRM, and high efficiency for optimizing nonlinear likelihood functions, whenever singularity in the Jacobians occur allow for an easy inclusion to classical categorization and generalized linear models such as the Logistic Regression model in supervised learning. The WNRM is thoroughly investigated …

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The Distribution Of The Significance Level, Paul O. Monnu Jan 2024

The Distribution Of The Significance Level, Paul O. Monnu

College of Graduate Studies: Theses & Dissertations

Reporting the p-value is customary when conducting a test of hypothesis or significance. The likelihood of getting a fictitious second sample and presuming the null hypothesis is correct is the p-value. The significance level is a statistic that interests us to investigate. Being a statistic, it has a distribution. For the F-test in a one-way ANOVA and the t-tests for population means, we define the significance level, its observed value, and the observed significance level. It is possible to derive the significance level distribution. The t-test and the F-test are not without controversy. Specifically, we demonstrate that as sample size …

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A Novel Magnetorheological Pump Concept For Insulin Delivery, Mohammad Towhidul Islam Rimon Jan 2024

A Novel Magnetorheological Pump Concept For Insulin Delivery, Mohammad Towhidul Islam Rimon

College of Graduate Studies: Theses & Dissertations

Over the past 25 years, awareness of type 1 diabetes has significantly increased, leading to a comprehensive understanding of various aspects, including its genetics, epidemiology, and disease burden. According to the Type 1 Diabetic Index, about 8.7 million people around the world live with this long-term autoimmune disease characterized by insulin deficiency and resultant hyperglycemia. However, the increased availability and utilization of artificial pancreas systems could potentially save 673,000 lives by 2040. Although, the advancement of diabetes technology offers Type 1 diabetic patients more tools to enhance glycemic management and achieve effective outcomes, many patients are still hesitant to adopt …

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Hybridization And Duplex Stability Of Peptide Nucleic Acid Containing An Azobenzene Switch, Carmen J. Velasquez Jan 2024

Hybridization And Duplex Stability Of Peptide Nucleic Acid Containing An Azobenzene Switch, Carmen J. Velasquez

College of Graduate Studies: Theses & Dissertations

Light-driven molecular switches that can be turned on and off on demand have found many biological applications. For DNA, RNA, and synthetic derivatives, the switch can be used to interfere with a hybridization event with a complementary strand. To explore this potential, we have synthesized three light-sensitive PNA which have an azobenzene group (PNA-5azo5 and PNA-4azo4), and two azobenzene groups (PNA-2azo5azo2) as part of the PNA backbone. UV experiments were used to verify the conversion to the cis-isomer from the initial trans state for all of the single-stranded Azo-PNA ( PNA-5azo5, PNA-4azo4, and PNA-2azo5azo2) by irradiating at 365 nm …

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Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman Jan 2024

Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman

College of Graduate Studies: Theses & Dissertations

Proper condition monitoring has been a major issue among railroad administrations since it might cause catastrophic dilemmas that lead to fatalities or damage to the infrastructure. Although various aspects of train safety have been conducted by scholars, in-motion monitoring detection of defect occurrence, cause, and severity is still a big concern. Hence extensive studies are still required to enhance the accuracy of inspection methods for railroad condition monitoring (CM). Distributed acoustic sensing (DAS) has been recognized as a promising method because of its sensing capabilities over long distances and for massive structures. As DAS produces large datasets, algorithms for precise …

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Characterization Of Carbon Nanotube/Polystyrene Composites Prepared Via Microwave-Induced Polymerization, Hubert Agamasu Jan 2024

Characterization Of Carbon Nanotube/Polystyrene Composites Prepared Via Microwave-Induced Polymerization, Hubert Agamasu

College of Graduate Studies: Theses & Dissertations

Carbon nanotubes (CNTs), with their excellent mechanical properties, are well suited to the production of composites with good strength-to-weight ratio. However, the use of nanotubes as reinforcement is hampered by the lack of interaction between their inert surfaces and matrices. This, coupled with the van der Waal’s interactions between individual nanotubes, leads to agglomeration of CNTs in media. Functionalization is an efficient means to disperse nanotubes as well as increase their reactivity. The irradiation of CNTs with microwaves generates instantaneous, localized heating, being used in this work to trigger the rapid, thermal, free radical polymerization of styrene. Under microwaves, olefin-functionalized …

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Exploring Black Queer Doctoral Student Experiences With Utilizing Campus Services, Mitchell Everett Jan 2024

Exploring Black Queer Doctoral Student Experiences With Utilizing Campus Services, Mitchell Everett

College of Graduate Studies: Theses & Dissertations

This study utilized narrative inquiry to examine the experiences of Black Queer Doctoral Students (BQDS) with campus services and their ability to ameliorate minority stress and establish community with other students minoritized by their sexual or gender identity. I used the minority stress model and intersectionality as frameworks to understand how students minoritized by their race and sexual identities experienced campus services. The minority stress model provided an explanation of the stress BQDS may experience due their minority identity (Meyer, 2003, 2013). Connecting to community is also an ameliorating factor in reducing minority stress. In addition, structural intersectionality addressed the …

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Cross-Layer Performance Evaluation Of C-V2x, Dhruba Sunuwar Jan 2024

Cross-Layer Performance Evaluation Of C-V2x, Dhruba Sunuwar

College of Graduate Studies: Theses & Dissertations

The evolution of connected vehicles from a distant futuristic concept to an integral part of daily life is indisputable. Vehicle-to-everything communication (V2X) serves as the cornerstone of this transformation, facilitating seamless interaction among vehicles, infrastructure, pedestrians, and networks. However, evaluating V2X system performance proves intricate due to the dynamic nature of vehicles influenced by mobility factors. To address this complexity, we have developed a specialized system-level simulator expressly for evaluating V2X communication performance. Notably, the simulator encompasses (i) intelligent transportation system (ITS) scenarios integrated into a geographical framework and (ii) the capability to assess cross-layer performance spanning physical (PHY) and …

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Feasibility Of Pile Driving Analyzer For Pile On Rock, Tanvir Ahmed Jan 2024

Feasibility Of Pile Driving Analyzer For Pile On Rock, Tanvir Ahmed

College of Graduate Studies: Theses & Dissertations

The purpose of the field verification of piles is to check whether piles can withstand design load. Two commonly used methods are high strain dynamic piles and static load testing. Static load testing is very time-consuming, requires heavy deadloads and much space, and doesn’t have stress monitoring advantages in piles. High strain dynamic has been employed as an alternative in this regard. Pile dynamic analyzer (PDA) is a device which is used during dynamic testing to analyze the measurements from the test. PDA calculates the geotechnical or structural resistance by using wave mechanics algorithm installed in it. Total driving resistance …

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Investigating Division Quest: A Text-Based Adventure Narrative Game For Overcoming Difficulties Of Mitosis Learning, Amanda G. Conner Jan 2024

Investigating Division Quest: A Text-Based Adventure Narrative Game For Overcoming Difficulties Of Mitosis Learning, Amanda G. Conner

College of Graduate Studies: Theses & Dissertations

Mitosis learning is a source of struggle for many introductory biology students. Much of this difficulty stems from an overwhelming amount of terminology and moving pieces as well as the abstract nature of cellular processes. Game-based learning (GBL) has been used in other contexts to reduce cognitive load and provide relatable experiences upon which students can construct their mental models. However, commercial GBL is often expensive and difficult to align with individual instructor teaching preferences and learning objectives. In this study, we use a mixed methods approach to explore the use of a GBL tool made in Twine to overcome …

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Enumeration Of Lattice Paths With Restrictions, Vince White Jan 2024

Enumeration Of Lattice Paths With Restrictions, Vince White

College of Graduate Studies: Theses & Dissertations

Lattice path enumeration, through the lens of Catalan numbers, plays a crucial role in combinatorics. This thesis delves into enumerations of some of the most common lattice paths – north-east paths, up-down paths, and Dyck paths – with restrictions applied. The first restriction is counting north-east lattice paths that only cross the diagonal line, y=x, once. The second form of lattice paths with restrictions is up-down paths that cross the x-axis exactly once and fall to a fixed depth of k. While working through this module, a novel proof for a known integer sequence was used, then applied to generate …

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Accounting For Variability Due To Resampling Using Bootstrapping, Dipendra Phuyal Jan 2024

Accounting For Variability Due To Resampling Using Bootstrapping, Dipendra Phuyal

College of Graduate Studies: Theses & Dissertations

Bradley Efron (1979) introduced bootrapping. Typically a researcher is interested in studying a process which generates individuals. The collection of individuals the process has(actual) or could have (conceptual) generated is the population. The collection of conceptual members of the population is an uncountable collection. Hence, the population is anuncountable collection of individuals. The collection of individuals the process has generated (actual individuals) is representative of what the process can generate and will bereferred to as the representative sample. The size of this sample is a nonnegative integervalued random variable N which may be a constant random variable such as in …

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Machine Learning Based Three-Limb Core-Type Transformer Core Aspect Ratios Identification, Ananta Bijoy Bhadra Jan 2024

Machine Learning Based Three-Limb Core-Type Transformer Core Aspect Ratios Identification, Ananta Bijoy Bhadra

College of Graduate Studies: Theses & Dissertations

Power transformers are considered one of the key elements of electric grids. Transient studies include transformer transient analysis which is required for the continuous power supply. However, to perform the transient analysis, the details of the internal structure of the transformer are required which are unobtainable and considered as confidential information. Therefore, the application of topological-based transformer models is limited although the models can accurately represent the transformers. To address this concern, a novel approach utilizing Machine Learning (ML) to identify the core aspect ratios of the three-limb core-type transformer is introduced. The proposed approach, using only the voltage and …

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Cultivation Of A Commercially Important Macroalga (Ulva Sp) For Polyculture Research In Coastal Georgia, Kyle Mundy Jan 2024

Cultivation Of A Commercially Important Macroalga (Ulva Sp) For Polyculture Research In Coastal Georgia, Kyle Mundy

College of Graduate Studies: Theses & Dissertations

The Georgia coast has shown great potential for large-scale oyster aquaculture, and the rate at which the sector has grown demands implementation of novel techniques to ensure sustainability and success in the face of climate change. One practice – integrated multi-trophic aquaculture (IMTA) or polyculture – is known to have positive effects on the health and quality of farmed organisms and the surrounding environment through low pH/alkalinity amelioration, while also being a unique and viable way for a farming operation to diversify its products. To date, there has been no such attempt at investigating or demonstrating macroalgae culture in Georgia. …

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Aggressive And Non-Aggressive Behaviors In Mixed And Non-Mixed Dorymyrmex Smithi And Dorymyrmex Bureni Colonies Of Southeastern Georgia, Usa, Renee K. Nowicki Jan 2024

Aggressive And Non-Aggressive Behaviors In Mixed And Non-Mixed Dorymyrmex Smithi And Dorymyrmex Bureni Colonies Of Southeastern Georgia, Usa, Renee K. Nowicki

College of Graduate Studies: Theses & Dissertations

Dorymyrmex species, ‘pyramid’ or ‘cone’ ants, are Dolichoderines distributed across North America. Two relatively well-studied species, Dorymyrmex smithi and Dorymyrmex bureni, are commonly found throughout southeastern Georgia. These species are part of a socially parasitic relationship while simultaneously having starkly different colony structures. Dorymyrmex smithi is a polydomous, polygynous species with colonies that are often expansive, at times having hundreds to thousands of nests per colony. Dorymyrmex smithi is a temporary social parasite of D. bureni, a monodomous, monogynous species. The specific mechanism of this parasitism is currently unknown. Preliminary behavioral assay data from a limited number of …

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The De Rham Cohomology Of A Lie Group Modulo A Dense Subgroup, Brant Clark Jan 2024

The De Rham Cohomology Of A Lie Group Modulo A Dense Subgroup, Brant Clark

College of Graduate Studies: Theses & Dissertations

Let $H$ be a dense subgroup of a Lie group $G$ with Lie algebra $\LG$. We show that the (diffeological) de Rham cohomology of $G/H$ equals the Lie algebra cohomology of $\LG/\LH$, where $\LH$ is the ideal \mbox{$\{Z\in\LG:\e{tZ}\in H \text{ for all } t\in\RR\}$}

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Testing Differential Predation As A Mechanism Of Color Polymorphism In A Cryptic Lizard., Justin A. Sanclemente Jan 2024

Testing Differential Predation As A Mechanism Of Color Polymorphism In A Cryptic Lizard., Justin A. Sanclemente

College of Graduate Studies: Theses & Dissertations

Selection via predation is a strong evolutionary force on small organisms, producing unique phenotypic adaptations. In cryptic species, different populations may exhibit color polymorphisms to better match multiple substrates or backgrounds. Here, I conducted a clay model study in the Ocala National Forest of Florida (USA) to test predation as a selective mechanism for color polymorphism in the Florida scrub lizard (Sceloporus woodi). Clay models were constructed to resemble light and dark morphs of S. woodi and placed on contrasting substrates in longleaf pine and Florida scrub stands. It is hypothesized Florida Scrub Jays (Aphelocoma coerulescens) …

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Stability Analysis Of Vertical Industrial Pressure Vessel Resting On Load Cells Subjected To A Seismic Load., Kameron W. Nez Jan 2024

Stability Analysis Of Vertical Industrial Pressure Vessel Resting On Load Cells Subjected To A Seismic Load., Kameron W. Nez

College of Graduate Studies: Theses & Dissertations

Instability of structures, such as large vertical pressure vessels, is always an issue under the seismic load. In this current work, the acceleration that causes instability for a vertical pressure vessel has been determined experimentally using scaled models. This instability is caused by the tipping of the tall structure that is not completely fixed to the ground. This method is applied for three different sizes of pressure vessels, representing 50 CuFt to 1100 CuFt full scale models. These experimental results are compared with theoretical models. Using dimensional analysis, the accelerations that will cause the instability in the actual full-size models …

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Numerical Modeling Of Thermal Runaway In Lithium-Ion Batteries Using Decomposition Kinetics And Inter-Cell Contact Resistance, Shehzad Khan Jan 2024

Numerical Modeling Of Thermal Runaway In Lithium-Ion Batteries Using Decomposition Kinetics And Inter-Cell Contact Resistance, Shehzad Khan

College of Graduate Studies: Theses & Dissertations

Lithium-ion batteries (LIBs) are central in numerous high-demand applications due to their high energy density and prolonged cycle life. Despite these advantages, their susceptibility to thermal runaway (TR) poses a significant safety risk, with the potential for catastrophic failures. This study focuses on the thermal behavior of prismatic lithium-ion cells, using a finite volume-based partial differential equation (PDE) solver developed in MATLAB and JULIA to model TR behavior. This solver accurately simulates transient behaviors, convection, diffusion, and source terms across various coordinate systems. By engaging in a series of increasing complex case studies, this research aims to identify the critical …

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Inside Out: The Effects Of Water Quality And Stocking Density On Oyster Aquaculture In Georgia, Alexandra B. Raduege Jan 2024

Inside Out: The Effects Of Water Quality And Stocking Density On Oyster Aquaculture In Georgia, Alexandra B. Raduege

College of Graduate Studies: Theses & Dissertations

Oyster growing is one of the oldest known forms of aquaculture, but this ancient practice has only recently entered Georgia’s waters on a commercial scale. With any burgeoning industry, many questions need to be answered to maximize productivity. In the case of oyster aquaculture, growers must maximize both economic and ecological productivity for the long-term success of the industry. Water quality is of particular concern for the health and wellbeing of cultured oysters with the possibility that certain husbandry decisions made by oyster growers could adversely affect the growth and condition of their oysters. This study examines the influence of …

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Concentration Effects Of Ytterbium(Iii) Ions On The Physical, Structural, Thermal, And Optical Properties Of Barium Phosphate Glasses, Richard Amesimenu Jan 2024

Concentration Effects Of Ytterbium(Iii) Ions On The Physical, Structural, Thermal, And Optical Properties Of Barium Phosphate Glasses, Richard Amesimenu

College of Graduate Studies: Theses & Dissertations

Ytterbium(III)-doped glasses are widely known for their application in near-infrared (NIR) lasers and nowadays attract attention for solar spectral conversion in photovoltaic cells. In this study, the effects of ytterbium(III) concentration on the physical, structural, optical, and thermal characteristics of Yb-doped phosphate glasses were investigated. The glasses were synthesized using the melt-quenching technique with nominal compositions of 50P2O5:(50 – xBaO):xYb2O3 (x = 0, 0.5, 1.0, 2.0, 3.0 and 4 mol%). The properties were then examined by density and related parameters, X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Fourier transform-infrared …

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Detecting Bearing Race Defects With Inductive Magnetic Reluctance Sensors And Artificial Neural Networks, Collin Daly Jan 2024

Detecting Bearing Race Defects With Inductive Magnetic Reluctance Sensors And Artificial Neural Networks, Collin Daly

College of Graduate Studies: Theses & Dissertations

This work proposes a method of detecting physical damage to bearing races in a rotational assembly by means of magnetic reluctance sensors generating a signal from a rotating gear-tooth wheel. A nominally sinusoidal signal is generated based on the rotation of a gearwheel with regularly spaced voids and lands. Detection is based on the time variance of the signal periodically in relation to the gearwheel and the bearing damage. The purpose of this work is to propose a process to detect and classify bearing race defects using existing sensors and neural networks for hazardous area equipment applications.

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Investigating Flash Flood Occurrence Using Negative Binomial Models In Maryland, United States Of America, Zainab O. Akinsemoyin Jan 2024

Investigating Flash Flood Occurrence Using Negative Binomial Models In Maryland, United States Of America, Zainab O. Akinsemoyin

College of Graduate Studies: Theses & Dissertations

Globally, as extreme weather patterns intensify, flash floods have emerged as one of the most destructive and immediate environmental threats. In Maryland, flash floods are particularly concerning due to its diverse topography and increasing urban development, which exacerbates runoff and overwhelms drainage systems. The state has experienced significant flash flood events, highlighting the need for effective models to manage risks and inform mitigation strategies. While regression models such as the Negative Binomial (NB) and Zero-Inflated Negative Binomial (ZINB) are commonly used for count data analysis, their application to flash flood modeling in the USA, including regions like Maryland, remains limited …

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To What Extent Does Lighting Affect Students’ Preference For Seating In The Georgia Southern University Henderson Library?, Hailey M. Hawkins Jan 2024

To What Extent Does Lighting Affect Students’ Preference For Seating In The Georgia Southern University Henderson Library?, Hailey M. Hawkins

Honors College Theses

This study highlights the importance of lighting in academic library spaces, specifically in relation to students' seating choices and overall experience. The research is significant as it emphasizes the role that environmental factors can play in creating a conducive learning environment for students. The study utilized a mixed-methods approach, which combines quantitative and qualitative data collection methods to provide a comprehensive understanding of students' lighting preferences. The quantitative data collected through open observations and the use of a light meter provided insights into the relationship between lighting and seating choices. The qualitative data collected through questionnaires helped to understand the …

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Bridging The Gap: An Analysis Of Elementary Literacy Instruction, And Proposed Solutions To Exponentiate Literacy Skills, Avery E. Gray Jan 2024

Bridging The Gap: An Analysis Of Elementary Literacy Instruction, And Proposed Solutions To Exponentiate Literacy Skills, Avery E. Gray

Honors College Theses

The reading achievement gap is generally identified as the increasing disparity between higher-level students and lower-level students within the same grade or school level. Student data presented in the form of secondary reading assessment scores were analyzed for the state of Georgia, as well as nationally, for student achievement regarding reading skills in public schools from grades 3-5. Interviews conducted with educational professionals were conducted to reveal anecdotal manifestations of what the presented data looks like in terms of student ability, and how the teaching practice has reacted to such manifestations. The evaluation of these consistencies and explanations given to …

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Using Pose Estimation Software To Predict Actions In Sabre Fencing, Micah Edwin Peters Ii Jan 2024

Using Pose Estimation Software To Predict Actions In Sabre Fencing, Micah Edwin Peters Ii

Honors College Theses

Fencing is a combat sport that uses three different swords: epee, foil, and sabre. Due to its fast-paced nature and employment of right of way, sabre fencing is often considered the most difficult of the three to learn. Computer vision and pose estimation software can be used to lower the barrier of entry to sabre fencing by identifying the different actions in sabre fencing. This project focuses on using open-source software to design a program that can identify the sabre parries as well as the main sabre movements. This program could be used to help newer fencers and spectators better …

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