Digital Commons Network^™

Disparities And Protective Factors In Pandemic-Related Mental Health Outcomes: A Louisiana-Based Study, Ariane L. Rung, Evrim Oral, Tyler Prusisz, Edward S. Peters

School of Public Health Faculty Publications

Introduction: The COVID-19 pandemic has had a wide-ranging impact on mental health. Diverse populations experienced the pandemic differently, highlighting pre-existing inequalities and creating new challenges in recovery. Understanding the effects across diverse populations and identifying protective factors is crucial for guiding future pandemic preparedness. The objectives of this study were to (1) describe the specific COVID-19-related impacts associated with general well-being, (2) identify protective factors associated with better mental health outcomes, and (3) assess racial disparities in pandemic impact and protective factors. Methods: A cross-sectional survey of Louisiana residents was conducted in summer 2020, yielding a sample of 986 Black …

Modular Approach To Soft Mobile Robots, Dimuthu Kodippili Arachchige

College of Computing and Digital Media Dissertations

Soft robot locomotion is a highly promising but under-researched subfield within the field of soft robotics. The compliant limbs and bodies of soft robots offer numerous benefits, including the ability to regulate impacts, tolerate falls, and navigate through tight spaces. These robots have the potential to be used for various applications, such as search and rescue, inspection, surveillance, and more. The state-of-the-art still faces many challenges, including limited degrees of freedom, a lack of diversity in gait trajectories, insufficient limb dexterity, limited payload capabilities, lack of control methods, etc. To address these challenges, this research introduces a modular approach to …

Developing Project Management Success Criteria For Public Health Response Programs, Priyanka Dutta

Harrisburg University Dissertations and Theses

This study addresses an existing gap in the project management literature in regards to the limited research on its application in public health settings. Specifically, this study intends to identify and develop success criteria to help measure the performance of project management methodologies used for public health response programs. Using a qualitative research design in the form of a case study review, the study will consolidate findings and propose a success criteria by which project management methodologies for public health programs can be evaluated. The criteria will contribute to future research and the development of a standardized measure that will …

Knowledge Building Through Interdisciplinary Units, Jessica A. Deboer

Masters Projects

Research demonstrates that developing a strong knowledge base is vitally important for students to demonstrate comprehension in reading. Comprehension strategies are an important skill to learn, but can only be utilized if a student has background knowledge of the subject. Schema theory supports the idea that knowledge is most effectively acquired through networks of prior knowledge built into the brain’s long term memory. The more vocabulary and concept knowledge a person has in their network of schemata the easier it is for them to connect and hold onto new information. An interdisciplinary curriculum can grow students' knowledge and their comprehension …

Bootstrap Methods For Bias-Correcting Probability Distribution Parameters Characterizing Extreme Snow Accumulations, Kenneth Pomeyie, Brennan Bean

Mathematics and Statistics Student Research and Class Projects

Accurately quantifying the threat of collapse due to the weight of settled snow on the roof of a structure is crucial for ensuring structural safety. This quantification relies upon direct measurements of the snow water equivalent (SWE) of settled snow, though most weather stations in the United States only measure snow depth. The absence of direct load measurements necessitates the use of modeled estimates of SWE, which often results in the underestimation of the scale/variance parameter of the distribution of annual maximum SWE. This paper introduces a novel bias correction method that employs a bootstrap technique with regression-based models to …

Investigating Cloth Sculpting For Simulation Control In Virtual Reality, Matthew S. Bishop

Theses and Dissertations

Artists require control and predictability over physically based simulations to create their required animation. This control can lead to reduced iteration time to get the desired simulation results. Controlling cloth simulations can require manual effort to create goal keyframes for control algorithms to match. Current techniques and research utilize a keyboard and mouse to create these goal keyframes. Other research has looked at using a virtual reality (VR) head-mounted display with controllers to improve the experience of completing similar animation tasks. However, we are not aware of any research that attempts to use VR as a tool to assist artists …

Vco Calibration Techniques And Design Of A 0.12-V Ultra-Low Supply Analog-To-Digital Converter, Shea Smith

Theses and Dissertations

Many analog-to-digital converters (ADC) quantize inputs using a voltage-controlled-oscillator (VCO). These VCO-based ADCs leverage time-domain processing to shape quantization noise and mismatch, which further increases their appeal. Despite these advantages, achieving good performance with a VCO-based ADC remains a significant challenge due to the nonlinear transfer characteristics of the voltage-to-frequency (V-F) conversion. VCO-based ADCs widely utilize coarse-fine readout to save power and hardware compared to counter-only converters. However, the timing mismatch due to the clock skew between the coarse and fine quantizers can lead to significant reconstruction errors. Chapter 2 proposes a digital calibration circuit to detect and correct coarse-fine …

De Novo Synthetic Studies On Tetracyclic Triterpenoid Systems: Stereoselective Preparation, Biological Evaluation And Total Syntheses Of Euphol And Tirucallol, Joshua Nicholson

Dartmouth College Ph.D Dissertations

Tetracyclic triterpenoids have a rich history in biology, medicine, and chemistry. In terms of pharmaceutical relevance, compounds with this scaffold are one of the most successful classes with over 100 FDA approved examples. Despite this success, the vast majority of compounds within this class are prepared through semisynthesis. While this approach is undeniably successful, judged by the sheer number of medications generated, it also has limitations. Namely, semisynthesis requires the use of complex starting materials that have fixed absolute stereochemistry and often sparse functionality. One approach to address the inherent limitations with semisynthesis is through de novo synthesis. Recently, our …

The Lived Experiences Of Black Male Students With Non-Black Teachers And Staff In New Orleans, Emmanuel Paul

Walden Dissertations and Doctoral Studies

Academicians, administrators, and policymakers in New Orleans have pointed toward a disproportionate academic and life-cycle outcome where Black American males are particularly disadvantaged as compared to White students. An often-cited cause of these disproportionate outcomes for Black male students is inequality and mistreatment in schools. Therefore, this study explored the educational experiences of 10 Black males aged 18 or over from four alternative public schools in New Orleans via individual interviews. The purpose of this hermeneutic phenomenological qualitative investigation was to explore Black male students’ encounters with non-Black teachers and staff in New Orleans and gain their perspective on their …

A Review Of Stable, Traversable Wormholes In F(R) Gravity Theories, Ramesh Radhakrishnan, Patrick Brown, Jacob Matulevich, Eric Davis, Delaram Mirfendereski, Gerald Cleaver

Physics & Astronomy Faculty Publications

It has been proven that in standard Einstein gravity, exotic matter (i.e., matter violating the pointwise and averaged Weak and Null Energy Conditions) is required to stabilize traversable wormholes. Quantum field theory permits these violations due to the quantum coherent effects found in any quantum field. Even reasonable classical scalar fields violate the energy conditions. In the case of the Casimir effect and squeezed vacuum states, these violations have been experimentally proven. It is advantageous to investigate methods to minimize the use of exotic matter. One such area of interest is extended theories of Einstein gravity. It has been claimed …

Optimization In Gnc Systems, Bryan Rogler, Matt Baumgart, Elvis Silva

Small Satellite Conference

No abstract provided.

A Machine Learning Based Approach For The Identification Of Fake Bills, Tianyang Lu, Hongyang Pang

Rose-Hulman Undergraduate Mathematics Journal

Fake or counterfeiting currency, which has been around as long as money has existed, is a major economic problem. Since the US dollar is the most popular form of currency globally, it is the most popular currency to counterfeit. The United States Department of Treasury estimates that between $70 million and $200 million in fake bills are in circulation. The Federal Reserve Bank uses special banknote processing systems to count each bill deposited by the bank and examine them for the possibility of counterfeits. These machines have sensors designed to detect general quality of the bills, including paper type, quality …

Very Low Swap-C Robotics Using Autodynamic Flexible Circuits, Jerome K. Fuller, Todd F. Sheerin

Small Satellite Conference

Spacecraft robotic appendages typically reflect terrestrial robots in that they are usually based on boom-and-joint designs. Here we present a radical departure from tradition in the form of an Autodynamic Flexible Circuit (AFC). While their more static flexible (flex) circuit progenitors have been used in space for decades, they are usually fixed, or are moved only by external forces. Here, a specific lacing of shape memory alloy actuator wire endows an otherwise-ordinary flex circuit with dexterous motion, to be positioned on command. AFCs have thus far been demonstrated in the laboratory and in space at < 1U and 6U CubeSat scales, stowing flat in a practically two-dimensional configuration. Selected applications envisioned include orbital debris mitigation, in-space servicing, assembly, and manufacturing, extraterrestrial exploration systems, individual payload and spacecraft subsystem pointing, and large area, reconfigurable deployables. As such, AFCs promise a new era in low size, weight, power, and cost space robotics and space systems by enabling circuits to function both as conduits for electricity and a means of articulating large area, low mass structures.

Autonomous Multi-Mission Orchestration For Small Satellite Constellations, Skylar Cox, Thomas Kost, David Fish, Jonathan Maier

Small Satellite Conference

The accelerating proliferation of space vehicles in LEO presents a significant operational and security challenge in coordinating operations between vehicles and across constellations. The growing operational complexity demands a reliable automation approach capable of orchestrating multiple agents, potentially across different domains. No longer is it sufficient to automate a single vehicle in isolation since many of the tasks being conducted by these constellations require cross-schedule coordination. To address the current operational demands and limitations, the Multi-Mission Orchestrator, or MMO, provides a methodology and framework for coordinating space vehicle operations and secure data transfers across heterogeneous constellations and even multi-domain systems …

Science Of Hemp: Production And Pest Management Meeting Proceedings (2023)

Science of Hemp Annual Meeting

The fourth meeting of the Science of Hemp: Production and Pest Management Conference was held on November 13-15, 2023 at Auburn University in Auburn, AL. Agricultural scientists from 13 different universities across the United States attended a series of scientific presentations. Topics included agronomy, entomology, plant pathology, weed science, and controlled environment production. The abstracts for presentations and posters are included within this publication.

Amsat-Oscar-7: 50 Years In A Sun-Synchronous Orbit - And Still Counting - Confirmation Of The Long-Term Solar Gravity-Gradient Perturbation, Jan A. King, Karl Meinzer

Small Satellite Conference

The first Delta launch vehicle to launch multiple secondary payloads was Δ-104. Carried, as the 2^nd piggyback payload on that mission was an amateur radio Smallsat, AMSAT-OSCAR-7 (AO-7). The launch, on 15 November 1974, was to a 1460 km SSO. This spacecraft, as its name suggests, was the 7^th in an on-going series of spacecraft operating in the Amateur Satellite Service. The amazing story associated with the mission of this small satellite is being reported elsewhere in these proceedings. While the particulars of this satellite's lifetime are exciting, we didn't particularly expect this "old bird's set of tricks …

Development Of A Methodology For Optimizing Satellite Durability By Coupling Advanced Orbit Propagation With High Fidelity 3d Thermal-Electrical Simulation, Corey D. Packard, Logan R. Canull, Zachary J. Edel, Timofey Golubev, Michael L. Larsen, Nate Mccoun

Small Satellite Conference

In the rapidly evolving landscape of low Earth orbit (LEO) satellite technology, this study presents a pioneering approach for analyzing satellite durability through advanced orbit propagation and high fidelity 3D thermal-electric simulation. Small satellites, packed with high power components and rapidly transitioning between sunlit and eclipsed orbit segments, often feature limited thermal control systems that make thermal management a challenging (but critical) task. Additionally, the durability of battery cells and photovoltaic (PV) panels over the mission lifetime of small satellites is an important concern. Cycling and calendar fade take their toll on battery lifetime, and PV degradation reduces operational efficiency …

Charlotte: A Modern Tool For Cave Surveying, Luca Tringali Mr., Giacomo Canciani Dr., Alexander Debenjak, Tecla Tripari

International Journal of Speleology

The future of cave surveying is a full 3D scan, as automatic as possible, capturing all morphologically relevant details. However, the vast majority of cavers are still using tools designed more than 15 years ago. The advancements in tools for architects, CAD designers, programmers of VR and robotics could be helpful also for the caving community. That’s why Charlotte, a cheap DIY 2.5D scanner designed for cave surveying, was developed and built. To demonstrate its capabilities, a new survey of Grotta Regina del Carso cave (cad. nr. 2328/4760VG), the biggest cave in the Gorizia Karst, has been realized and published. …

Maximizing Legged Accelerations: A Matter Of Force, Time, And Gravity, Lance Brooks

Applied Physiology and Wellness Theses and Dissertations

Sprint running accelerations require runners to apply surface forces that: support body weight by pushing downward, accelerate the body horizontally by pushing backward, and align the direction of the push with the body’s mass center to maintain balance and posture, which imposes an upper limit on the average forward acceleration force equal to the average gravitational force (1.0 G) acting on the runner. This expectation arises from the mechanical constraints imposed by the need to generate sufficient vertical force to support body weight against gravity while simultaneously producing horizontal force to accelerate forward and aligning the push through the center …

Uncertainty Quantification In Machine Learning Models Via Gaussian Process Regression: A Comparative Study, Ayorinde E. Olatunde, Weiqi Yue, Pawan K. Tripathi, Roger H. French, Anirban Mondal

Faculty Scholarship

As the use of Machine learning models in science and engineering continues to increase, there is an increasing need for quantifying the uncertainties inherent in the predictions of these models. The more complex a model is, the more the uncertainties in its predictions increase. Amongst the plethora of methodologies used in quantifying uncertainties lies Gaussian Process Regression (GPR). GPR surmounts some of the popular shortfalls of other state-of-the-art methodologies. Although GPR has some quick wins in its application for uncertainty quantification, it is plagued with some shortfalls, such as scalability issues when the feature space increases as well as an …

Constraints On Solar Axions Using The Profile Likelihood Ratio Method With The Supercdms Experiments, Shilun Liu

Physics Theses and Dissertations

Dark matter plays an essential role in understanding modern physics and particles beyond the Standard Model. Evidence suggests that dark matter accounts for approximately 85% of the universe’s matter, and 26.8% of its mass-energy composition. Key candidates for dark matter include unidentified subatomic particles like Weakly Interacting Massive Particles (WIMPs) and axions. The Super Cryogenic Dark Matter Search (SuperCDMS) employs direct detection methods to identify these elusive particles using cryogenic technologies. Su- perCDMS Soudan is the latest completed CDMS experiment in Minnesota, in preparation for the next phase experiments of SuperCDMS SNOLAB in Sudbury, Canada. At SNOLAB, the Cryogenic Underground …

Projected Climate Change Impacts On The Number Of Dry And Very Heavy Precipitation Days By Century’S End: A Case Study Of Iran’S Metropolises, Rasoul Asfari, Mohammad Nazari-Sharabian, Ali Hosseini, Moses Karakouzian

Civil and Environmental Engineering and Construction Faculty Research

This study explores the impacts of climate change on the number of dry days and very heavy precipitation days within Iran’s metropolises. Focusing on Tehran, Mashhad, Isfahan, Karaj, Shiraz, and Tabriz, the research utilizes the sixth phase of the Coupled Model Intercomparison Project (CMIP6) Global Circulation Models (GCMs) to predict future precipitation conditions under various Shared Socioeconomic Pathways (SSPs) from 2025 to 2100. The study aims to provide a comprehensive understanding of how climate change will affect precipitation patterns in these major cities. Findings indicate that the SSP126 scenario typically results in the highest number of dry days, suggesting that …

Experiments On Employer-Employee Relationships, Hang Chen

Economics Theses and Dissertations

Employer-employee relationships exist commonly in workplaces and are important for people to understand the interactions between employers and employees and also their own behavior. This dissertation presents studies of different aspects of employer-employee relationships using laboratory experiments. Chapter 1 studies how the problematic nature of many middle management positions drive middle managers to interact with their employees in a negative way in workplaces, as they are under pressure from upper management to extract high effort from their employees, but given few incentives to do so. Chapter 2 focuses on the potential peer effects of employees' performance feedback and performance. My …

Activity Map Generation And Event-Based Sensor Processing With Spiking Autoencoders And Sparse Dictionary Learning, Jack Easton

Computer Science and Engineering Theses and Dissertations

This thesis explores the potential of Spiking Neural Networks (SNNs) in processing event sensor data and generating high-fidelity activity maps. Event sensors capture asynchronous binary events with high dynamic range, but traditional processing methods often fail to leverage their advantages fully. SNNs, with their asynchronous, event-driven nature, offer a promising alternative.

A Spiking Autoencoder (SAE) was employed in this thesis to handle the stochastic and sparse event data, integrating deep dictionary learning to enhance the feature space and improve activity map quality. The encoder, modeled after the VGG network, extracts features from event streams generated by speckle patterns, which are …

Bayesian And Deep Generative Modeling In Immunology, Yuqiu Yang

Statistical Science Theses and Dissertations

Due to the accumulation of a large volume of data of different natures such as sequencing data, proteomics data, and clinical data, statistical methods and deep learning algorithms have become increasingly important in the field of immunology. By leveraging the diverse datasets as well as interdisciplinary knowledge from areas like biology and public health, these quantitative methods have revolutionized this field by providing powerful tools for data analysis, modeling, and prediction. This has led to a deeper understanding of the immune system, accelerated the development of novel therapies, and paved the way for personalized and precision medicine approaches in immunology. …

Success In Secondary Mathematics Courses, Victoria Klaas

Masters Projects

According to research, many students struggle to successfully complete required secondary mathematics courses. Not only are these courses require for students to graduate, the courses prepare students to use mathematics in their everyday lives. The demand for careers in the mathematics field continues to grow. Students will continue to miss out on careers in this field if they do not successfully complete their secondary mathematics courses. This project outlines some of the factors affecting student mathematical success and provides an Algebra II unit plan. The unit plan provides guiding lesson plans and other needed materials for teachers to help improve …

Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Applications For Metabolomics, Darcy Cochran, Robert Powers

Robert Powers Publications

Metabolomics is an interdisciplinary field that aims to study all metabolites < 1500 Da that are ubiquitously found within all organisms. Metabolomics is experiencing exponential growth and commonly relies on high-resolution mass spectrometry (HRMS). Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) is a form of HRMS that is particularly well suited for metabolomics research due to its exceptionally high resolution (10⁵–10⁶) and sensitivity with a mass accuracy in parts per billion (ppb). In this regard, FT-ICR-MS can provide valuable insights into the metabolomics analysis of complex biological systems due to unique capabilities such as the easy separation of isobaric and isomeric species, isotopic fine structure analysis, spatial resolution of metabolites in cells and tissues, and a high confidence (error) in metabolite identification. Alternatively, the large and complex data sets, long acquisition times, high cost, and limited access mainly through national mass spectrometry facilities may impede the …

Bio-Enriched Soil Technologies (Best), Norma Arcelia Alcantar

USF Patents

A bio-enriched soil and method of production is presented. If water supply is scant, bio-enriched soil technologies (BEST) are able to attract, store, and transport water and nutrient molecules to a plant in a controlled way. If the water or nutrient resources are excessive, BEST can release the excess and supply only what is needed. Hence, bio-enriched soil can function in climates in which crops normally are under stress by increasing the bioavailability of nutrients and water.

Corporate Philanthropy: Catalyst For Sustainable Alignment Or Mere Gesture? Unveiling The Impact On People, Planet, And Profits, Cameron L. Cleveland

Masters Projects

Corporate philanthropy and sustainability initiatives have become pivotal components of modern business strategies, underscoring the increasing importance of corporate social responsibility (CSR). As businesses face mounting pressure to address global challenges such as climate change, resource depletion, and social inequality, their commitment to CSR reflects a broader recognition of their role in fostering sustainable development. This research paper conducts an in-depth examination of the philanthropic and sustainability efforts of several major corporations, including Chevron, Steelcase, MillerKnoll, Ikea, Sherwin Williams, Whirlpool Corporation, Ford Motor Company, Stryker Corporation, General Motors Company, and Kellogg Company. These companies were selected for this research study …

Knowledge Management And Semantic Reasoning: Ontology And Information Theory Enable The Construction Of Knowledge Bases And Knowledge Graphs, Quynh D. Tran, Ozan Dernek, Erika I. Barcelos, Laura S. Bruckman, Roger H. French

Researchers, Instructors, & Staff Scholarship

FAIR (Findable, Accessible, Interoperable, Reusable) principles are guidelines Wilkinson, et. al. (2016) proposed for data governance and stewardship. Ontology is a powerful tool that can achieve many aspects of all four FAIR principles. Unfortunately, there is a misconception about ontology that it is only useful for establishing FAIR data. We need to think beyond data to answer the question “So what?” after an ontology is developed. It is critical to apply FAIR principles to results, analysis, and models, which is where the concept of digital thread comes in. FAIRified results, analysis, and models can be stored in a knowledge base …