Physical Sciences and Mathematics Commons^™

The Effects Of Reprocessing, Post-Processing Conditions, And Environmental Exposure On The Physical Properties Of Post-Industrial And Post-Consumer Polyethylene, Grant M. Howard

Electronic Theses & Dissertations

THE EFFECTS OF REPROCESSING, POST-PROCESSING CONDITIONS, AND ENVIRONMENTAL EXPOSURE ON THE PHYSICAL PROPERTIES OF POST-INDUSTRIAL AND POST-CONSUMER POLYETHYLENE

An Abstract of the Thesis by

Grant Howard

Plastic pollution is a rapidly growing problem. Globally, millions of tons of plastic waste are produced, and that amount is projected to increase each year. To address this, recycling of commodity thermoplastics like polyethylene, polypropylene, and polyethylene terephthalate, have become a point of emphasis in industry. Companies have started to investigate the use of recycled plastics instead of virgin plastics in their products. The advantages of using recycled material are to receive tax breaks, …

Development Of Non-Precious Iron-Cobalt Alloy Catalyst For Electrocatalytic Reaction, Harsh Panchal

Electronic Theses & Dissertations

The development of a FeCo alloy catalyst with tunable Fe/Co ratios is examined to improve electrocatalytic performance in reactions like the oxygen evolution reaction (OER), hydrogen evolution reaction (HER), and oxygen reduction reaction (ORR). Many energy conversion devices, such as fuel cells, metal-air batteries, and water-splitting systems, depend on these interactions to function. These technologies have huge potential to meet the increasing need for hydrogen production and renewable energy sources worldwide, which are critical to attaining a sustainable energy future. When compared with noble metal-based catalysts, the FeCo alloy catalyst shows much higher catalytic activity, according to previous studies. Hydrothermal …

Soybean Oil-Derived Acrylate/Methacrylate Ether For High Resolution Additive Manufacturing (3d Printing) Technology, Tanuj Patel

Electronic Theses & Dissertations

Additive Manufacturing is one of the rapidly developing techniques, as industries continue to explore new ways to create prototypes and end-use parts, one of the significant challenges that remains is the reliance on petroleum-based plastics for 3D printing, especially in the production of photocurable resins. that may be used to prototype complex structures and sophisticated geometries that are typically challenging to produce with conventional methods. Thus, replacing petroleum-based plastics with renewable resources is increasingly important for additive manufacturing (3D printing) of photocurable resins. The use of bio-based renewable resources in AM is a feasible alternative to traditional petroleum-based plastics. Henceforth, …

Epoxidized Castor Oil Based Thermosets With Reprocessable And Non Reprocessable Properties, Vaibhav Patel

Electronic Theses & Dissertations

Castor oil-based polymers have gained significant attention due to their renewable nature, low cost, and ease of processing, making them ideal for various applications, including biofuels and the petrochemical industry. Among these, epoxidized castor oil (ECO)-based thermosets have been extensively studied for their promising mechanical and thermal properties. This study focuses on recent advancements in ECO thermosets synthesized with 4,4-dithiodianiline (DTDA) which has aromatic disulfide bonds and 4,4-ditaminodiphenylmethane (DMPM) which has methylene bridge. FTIR spectroscopy confirmed the successful incorporation of epoxy functionalities into castor oil. The structure-reactivity relationship was examined through differential scanning calorimetry (DSC), which reveals that ECO_DMPM based …

Zn–Assisted Synthesis Of M (Mn/Fe/Co/Ni)-N-C Catalysts For Multifunctional Electrochemical Activity, Kemila A. Chaudhary

Electronic Theses & Dissertations

The design and development of atomically dispersed M-N-C catalysts (metal (M) supported on an nitrogen-carbon (NC) matrix with high multifunctional electrocatalytic performance is desirable but proved to be very challenging. Herein, we synthesized M-N-C catalysts (M = Fe, Co, Mn, and Ni) using Zn-assisted high temperature treatment and characterized using various techniques. The prepared catalysts were tested for their electrocatalytic performance towards oxygen and hydrogen evolution reaction (OER and HER) as well as oxygen reduction reaction (ORR) in alkaline media. The results indicated that Mn-N-C catalyst showed higher performance towards both the ORR (E_1/2 = 0.90 V) and …

Investigating The Microbial Communities In Freshwaters Of Northern Sweden, Maizy Wilcox

Undergraduate University Honors Capstones

Climate change is shifting the stability of sensitive ecosystems in the Arctic region due to global warming, with widespread impacts on permafrost regions, including the Stordalen Mire region of Sweden. Due to climate change, the Stordalen Mire is composed of thawing permafrost shifting into a wetland (V onk et al., 2015). As permafrost thaws, the landscape transforms due to changing water environmental conditions, causing lower pH changes and higher temperatures in the water, impacting the underlying soil chemistry and biology, vegetation, and microbial communities (Webb et al., 2022). The increased temperature can enhance methanogenic microbial growth by expanding the groundwater …

Seismological Applications To Crustal Deformation And Explosion Discrimination, Olumide Adedeji

Earth and Planetary Sciences ETDs

There are many outstanding questions in seismology and plate tectonics that remain unresolved due to the complexity of seismic wave propagation, fault system evolution, and sedimentary-tectonic interactions. In this dissertation, I analyze seismic and acoustic data to improve event discrimination, understand strain partitioning along a transpressive plate boundary, and investigate the influence of tectonic deformation on sedimentary processes. Using seismic arrays, I assess the detectability of Ground Coupled Airwaves (GCA) generated by shallow borehole explosions and earthquakes, demonstrating that GCA detections are highly dependent on source type, environmental conditions and sensor distribution. Along the Queen Charlotte Plate Boundary, I analyze …

From Data To Action: An Adaptable Crosstabs Template For Participatory Survey Data Analysis, Natalia Pinzon, Vikram Koundinya, William O'R Dowling, Ryan Galt

Journal of Extension

We present a practical and accessible template for quantitative survey data analysis designed for non-academic researchers in order to facilitate engagement from community collaborators. The template, created in Google Sheets, is mainly for computing cross-tabulations, but it also displays frequency distributions and p-values for determining statistical significance. The template allows collaborators to record their observations and questions, promoting an efficient yet interactive review process and fostering a democratic analysis environment. Based on our own experience using this template for a data party, we highlight its effectiveness in promoting collaborative data interpretation, decision-making, and the actionable use of survey findings.

Natural Resource Enterprises - Income Diversification And Conservation Practices Implemented On Private Lands In The United States, Daryl Jones

Journal of Extension

Wildlife-related recreation is popular with Americans spending over $150 billion dollars annually. I have conducted educational workshops (>100 events) to train U.S. landowners in natural resource enterprises development offering recreational hunting, angling, and nature tourism excursions along with conservation management practices to enhance wildlife habitats on their lands. To measure impacts, I conducted a comprehensive mail survey study with participants since 2010. Findings revealed that landowners who initiated these enterprises earned annual incomes and implemented conservation practices on properties. More training for landowners is recommended to increase income diversification and conservation of wildlife habitats and stewardship on private lands.

From Tree Rings To Streamflow: Reconstructing The Hydroclimatic History Of The Mississippi River Basin Over The Past Millennia, Brandon Mcdaniel

Theses and Dissertations

The Mississippi River Basin (MRB), the largest watershed in the United States, plays a central role in shaping regional hydroclimate. This study reconstructs streamflow variability in the MRB from the year 1200 to 2005 by applying principal component regression to streamflow data from 51 gauges and the North American Drought Atlas (NADA), a tree-ring-based reconstruction of the summer self-calibrating Palmer Drought Severity Index. Verification statistics indicated strong predictive skill across the domain. These findings provide critical insight into long-term hydroclimatic variability in the MRB and underscore the value of paleoclimate records for improving water resource assessments.

Cyber Security Threat Recognition And Preparedness Of Undergraduate Students, Litany Hope Lineberry

Theses and Dissertations

Cybersecurity awareness and preparedness are critical competencies for individuals across academic disciplines and professional sectors. However, undergraduate students often lack sufficient knowledge and skills to recognize and mitigate cybersecurity threats. This dissertation examines cybersecurity threat recognition and preparedness among undergraduate students through a three-phase research approach. Study 1 explores faculty perspectives on students' cybersecurity awareness, identifying gaps in knowledge and preparedness across various fields of study. Study 2 investigates industry professionals' perceptions of new hires’ cybersecurity readiness, assessing the alignment between academic training and industry expectations. Study 3 evaluates the effectiveness of an online intervention designed to enhance students' cybersecurity …

Enhancing Chemical Synthesis For Sustainability And Process Monitoring Utilizing Group Ten Metal Catalysis, Amanda M. Perkins

Theses and Dissertations

This thesis explores two sustainable methodologies by modifying established catalytic processes using group ten metal complexes from nickel and palladium. Efforts were made to provide alternatives for processes that often do not follow the principles of green chemistry. In the first project, a nickel(II) N-heterocyclic carbene complex was used to perform catalytic hydrogenation of 2-acetylpyridine under mild conditions. The complex was synthesized and characterized with techniques including mass spectrometry and 1H-NMR. Following this, the reactions were carried out to optimize conditions and yield moderate conversions. For the second project, the Suzuki-Miyaura cross coupling of 7-chlorotryptophan occurred utilizing a palladium complex …

Establishing A Baseline For Detecting Lotl Attacks In Windows Operating Systems, Ashlyn Martin Phillips

Theses and Dissertations

There has been an increasing realization of the rise in living off the land (LOTL) attacks where adversaries misuse legitimate system tools, particularly with state-sponsored actors targeting critical infrastructure in the United States. These attacks are difficult to detect because they allow attackers to remain present in a system without the user’s knowledge for an extended period. This thesis establishes an initial baseline specifically for Windows operating systems to measure normal system activity, focusing on CPU usage, memory utilization, and process activity. It particularly examines the use of PowerShell alongside other applications. The findings from this baseline are used to …

Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi

Theses and Dissertations

The exponential rise in internet usage has precipitated a corresponding surge in cyber threats, underscoring the urgent need for advanced cybersecurity solutions. While traditional intrusion detection systems (IDS) can identify these threats, their inability to self-recover leaves systems vulnerable. Intrusion response systems (IRS) have been developed to address this, aiming to auto- matically restore systems to their desired state post-security breach. However, current IRSs often necessitate manual intervention and may not be su!ciently robust against sophisticated threats. To overcome these limitations, we propose an AI-powered Autonomic, Safe, and Interactive Intrusion Response System called ‘Intrusion Response System Digital Assistant (IRSDA)’. IRSDA …

Integrating Case Studies With Meteorologists’ Insight: Assessing Meteorologists’ Perception And Utilization Of Composite Indices, Brianna Marie Salazar

Theses and Dissertations

Meteorologists from sectors, including broadcast, academia, and operations, use derived composite indices such as 0-1km and 0-3km energy helicity index (EHI), effective-layer supercell composite parameter (SCP), fixed-layer and effective layer significant tornado parameter (STP), in addition to other resources, when developing severe local storm forecasts. This study utilizes the Weather Research and Forecasting (WRF) model to create simulations of composite indices for two tornado-producing events: 31 March 2023 and 3 May 1999. With modifications to geographical location, these simulated scenarios are then utilized in the survey to gauge how meteorologists assess where tornado potential is highest. Additionally, a combination of …

Application Of Pu Learning In Detection Of Ddos Attacks, Gagana Sathya Narayana Prasad

Theses and Dissertations

The gcore radar 2024 says, the number of DDoS attacks has been increased by 46% in 12 months. Supervised and unsupervised techniques struggle detecting DDoS attacks due to the scarcity of labeled attack samples and an overwhelming presence of benign traffic. In contrast PU- Learning offers a promising solutions by dividing the data into positive and unlabeled data. This study explores the effectiveness of PU-learning in detecting DDoS attacks by comparing it with unsupervised methods. This method employs PU Bagging, Two Step method and auto-encoder based models to extract meaningful patters from network traffic data, utilizing CICDDoS2017 dataset for evaluation. …

Synthetic Data Augmentation For Retinoblastoma Using Diffusion, Andrew Thompson

Theses and Dissertations

Many AI models rely on large and high quality datasets for optimal training. In certain cases, data can be difficult or expensive to obtain, making training difficult. Rare medical conditions are one of these cases. Datasets for retinoblastoma are severely lacking in quantity. Diffusion has been used to create synthetic data in the industrial, medical, and financial domains. By applying the latest Diffusion methods to retinoblastoma, this work seeks to improve predictive model performance on identifying retinoblastoma.

An Investigation Into The Inclusivity, Methodology, And Education Of Severe Weather In K-12 Schools, Stephen Holden Wooten

Theses and Dissertations

Schools are a focal point in the lives of everyone in the community, especially teachers, parents, and students. Investigating the connection between these individuals and tornadoes by identifying shortcomings in education, training, and emergency procedures can induce more effective and informed decision-making for future encounters. This study evaluated the inclusivity of tornado protocols for students with disabilities, uncovered where parents prefer their child to shelter in early dismissal situations and clarified how extensively natural hazard education and tornado drills are covered in schools. Two surveys and semi-structured interviews were used to obtain responses from earth science teachers, K-12 guardians, and …

Global Attractivity Of Positive Solutions Of Higher Order Nonlinear Difference Equations And Its Applications, Abdulaziz Almaslokh

Theses and Dissertations

Difference equations play an effective role in many mathematical models that represent some phenomena in different fields such as physics, economics, engineering and biology. From this perspective, studying and analyzing such equations are interesting issues for the advancement of scientific research. In particular, studying the asymptotic behavior of positive solutions of some population models that are a system of difference equations has become a necessity. In this dissertation, we examine the global attractivity of positive solutions of certain higher order nonlinear difference equations and apply these results to some population models.

Promoting Collaboration And Multi-Directional Reliance By Sharing Mental Model Information For Effective Multi-Agent Teaming, Audrey L. Aldridge

Theses and Dissertations

Successful human-agent teaming requires teammates to form and maintain a shared or common understanding of several attributes regarding taskwork and teamwork. With enhanced information sharing, mental model development, and team functionality, teammates (human, autonomous) can learn to anticipate each others' behaviors, preferences, and needs as well as understand their capabilities and limitations. In designing a framework to support this type of cooperative teaming, there is a need to determine how sharing knowledge, mental models, and common understandings impacts teaming dynamics and performance. By incorporating each individual's understanding into a human-agent interface, this research enables better team coordination and performance through …

Assessment Of Water Quality And Remediation Of Heavy Metals In A Coastal System, Christiana Fumnanya Eziashi

Theses and Dissertations

This research focuses on a three-part study to assess water quality in a coastal system and evaluate the absorption capacity of modified biochar and algae to remediate cadmium (Cd). The first chapter introduces the hypothesis and objectives, and the second chapter provides a detailed literature review. The third chapter focuses on the first study, where surface water samples and water quality data collected from a manned boat and a novel autonomous surface vessel (ASV) in the Western Mississippi Sound (WMS) in the summer of 2021 and 2022 were analyzed and the interrelationship between the nutrient, trace metals, salinity, and chlorophyll-a …

Optimizing Mars Terrain Segmentation With Weakly Supervised Learning: A Focus On Weighted Loss From Annotation Metadata, Malika Dutta

Theses and Dissertations

The study of planetary surfaces heavily depends upon space rovers that gather detailed images of terrain needed for analysis and navigation. Deep neural networks and other sophisticated machine learning techniques are necessary for autonomous navigation in challenging terrain. However, the inconsistent annotations by citizen scientists frequently hinder the performance of these models. This study seeks to optimize terrain segmentation to improve the autonomous capabilities of future Mars rovers by presenting a novel weakly supervised learning framework to handle noise and unreliability in datasets. Using factors like number of clicks, pixel accuracy, and annotator dependability, the method utilizes annotation metadata in …

Bucket-Based Priority Queues For A* And Related Bounded-Suboptimal And Anytime Search Algorithms: Theoretical And Practical Advancements, Garrett Michael Fereday

Theses and Dissertations

For shortest-path problems with a small number of integer transition costs, it is well-known that the performance of the classic A* algorithm can be improved by using bucketing to reduce priority queue overhead—in particular, by using a bucket queue data structure for the priority queue, instead of a binary heap. This dissertation describes several theoretical and practical extensions of this approach. First, the traditional two-level bucket queue data structure is modified in simple ways to improve the worst-case complexity of its operations, which leads to the first demonstration that the priority queue operations of a two-level bucket queue for A* …

Influence Of Horizontal Grid Spacing On Numerical Weather Prediction Simulations Of Clear Air Turbulence, Kailah Rose Gordon

Theses and Dissertations

The focus of this research was to analyze the influence of horizontal grid spacing on numerical simulations of kinetic and thermal forced clear air turbulence (CAT) by quantifying uncertainty using a resolution ensemble. Previous studies indicated that microscale (< 1km) spatial resolutions are necessary to resolve turbulent kinetic energy (TKE) with low uncertainty. Six case studies of moderate or greater CAT, from pilot reports, were simulated at six horizontal grid spacings including 1, 2, 4, 8, 16, and 32km using the Weather Research and Forecast (WRF) Model. Results showed that grid spacing does influence the magnitude of uncertainty; however, the relationship between the grid spacings varied with the type of CAT being simulated and the addition of the cumulus parameterization scheme for grid spacings greater than 4km. Overall, higher precision was found between convective resolutions (1-4km), indicating that microscale resolutions are not necessary to precisely simulate TKE for CAT forecasts.

Atmospheric Turbulence Education Effects On Flight Anxiety, Megan A. Hanna

Theses and Dissertations

This study examines the effect of turbulence education on flight anxiety. A pre-post methodology measured students’ anxiety levels before and after a study abroad flight, using an educational video during the pre-flight survey to change their feelings. The Flight Anxiety Situations (FAS) questionnaire assessed anxiety at three survey points: pre-video, post-video, and post-flight. Qualitative analysis using Friedman’s test and the Wilcoxon Signed-rank test, indicated that turbulence education effectively decreased generalized and anticipatory flight anxiety, particularly in non-phobic students. Text analysis of open-ended responses suggested increased scientific knowledge post-video helped students apply technical atmospheric processes to their feelings. Turbulence education was …

Climate Change Impacts On Drinking Water Security: A Comparative Study In Australia’S Remote Central Australia And Torres Strait Islands, Nina Lansbury, Julia Bradford, Sandra J. Creamer, Geoffrey Evans

Journal of the Australian Indigenous HealthInfoNet

Aboriginal and Torres Strait Islander communities are well adapted to the many different environments in which they have lived for thousands of years. However, their environments and communities are highly vulnerable to impacts of anthropogenic climate change, including increasing threats to the security of drinking water supplies. Climate change is intensifying the significant social and economic disadvantage Australia’s Aboriginal and Torres Strait Islander communities face from poverty, poor housing, and poor health including high exposure to infectious and other diseases. Lack of sufficient safe, clean, drinking water could force Aboriginal and Torres Strait Islander people to leave their homelands, adding …

The Confluence, Volume 4, Issue 1, Full Issue

The Confluence

No abstract provided.

Adverse Cognitions: The Effects Of Childhood Trauma On Brain Development, Faith Salamone

The Confluence

The effect of adverse experiences in childhood have been known to create lasting difficulties, even in adulthood. While it can be hard to determine the effects of childhood trauma on the brain, many studies have identified areas that appear to be negatively impacted by these adverse childhood experiences. This paper is a meta-analysis of eight articles that have attempted to investigate the effects of childhood trauma on the developing brain. These articles are specifically investigating the effects of childhood physical and/or sexual abuse. The areas that will be discussed in this paper are the prefrontal cortex, corpus callosum, the limbic …

Cybersecurity And Global Threats: A Comparative Analysis Of Estonia And Russia’S Policies, María Paula Morales Palacios

The Confluence

As digital technology continues to reshape the foundations of modern life, the question of how states respond to cyber threats has become increasingly urgent. This paper examines how political systems shape national cybersecurity policies by comparing Estonia and Russia, two countries facing similar external threats but governed by vastly different structures. Estonia’s democratic framework emphasizes transparency, citizen participation, and international cooperation, while Russia’s semi-authoritarian model centers on state sovereignty, centralized control, and strategic offensive capabilities. Drawing on key historical events, including the 2007 cyberattacks on Estonia and the 2016 attacks on Russian banks, the paper explores how each state’s political …

Entanglement Distribution Of Universal Quantum Cloners, James B. Daughtry

Student Scholarship

Szab`o et al. [4] show that universal quantum cloning machines may be used to manipulate entanglement between bipartite states. Entanglement is measured with concurrence, C, and it is shown that as the fidelity of the cloner improves, more entanglement transfers from the reference to the cloned state. This thesis characterizes the nature of this entanglement transfer by analyzing the entanglement distribution of the cloner. In this analysis we will show that entanglement is generally destroyed after cloning except in cases where there is no cloning, two identical qubits are created, or there is complete qubit transfer. Along with …