Digital Commons Network^™

The Digitization Of Money: Stablecoins And Cbdc, Benjamin Geva, Mohammed Muraj

Articles & Book Chapters

Whether tokens are transferable peer to peer or via third party intermediation, through automation, tokenization could deliver gains by greatly speeding up settlement and increase efficiency by ensuring all parts of a transaction occur simultaneously, in what is called atomic settlement. This article addresses only the first model, that of the digital bearer instrument transmitted from a payer to a payee typically in a discharge of a debt. [...]a digital currency transferable under a decentralized protocol - such as (but not only) over a distributed ledger and yet issued centrally - is considered to operate in a "hybrid" scheme. The …

Integrated Actuator, David Hefter, Mathew Smith, Amanda Westmoreland, Akanksha Maddi

Mechanical Engineering

This Final Design Review document outlines the senior project design that we, a team of four mechanical engineering students at California Polytechnic State University, are developing for Charlie Refvem, a lecturer in the mechanical engineering department. The final design has undergone significant modifications since the Critical Design Review, such as a redesigned vertical shaft, material changes, and the incorporation of belt tensioners. These redesigns are thoroughly discussed in the context of testing and assembly error resolution.

The document outlines the detailed steps for the production and testing of the design verification prototype. This includes the procurement and manufacturing of components, …

Chatgpt In Language Education: How To Use It Ethically?, Mark Bedoya Ullaa, William Franco Peralesa, Stephenie Ong Busbus

PASAA

The widespread adoption of Artificial Intelligence (AI) tools, specifically ChatGPT, within pedagogy has engendered a dialogue regarding ethical implications. This article explores the ethical implications associated with using ChatGPT in the context of language teaching and learning. While we acknowledge the potential of ChatGPT in supporting and enhancing language teaching and learning, we also recognize its ethical issues. We argue that the responsible implementation of ChatGPT necessitates ethical considerations to ensure conscientious usage, as this is crucial in mitigating potential harms and ensuring that its development and utilization align with societal and professional values as language teachers. Critical ethical considerations …

Usage Statistics: Project Counter R5 Tr_J1 Report Fy2023 - Journal Requests (Excluding Oa_Gold) By Title, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report TR_J1 for the University of Rhode Island for the period from July 1, 2022 - June 30, 2023. The TR_J1 report is defined as "Journal Requests (Excluding OA_Gold)." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Total Item Requests - 836,365

Unique Item Requests - 625,288

A Deeper Understanding Of The R Process, Mengke Li

All Dissertations

The overarching aim of my PhD research is to deepen our understanding of r-process nu- cleosynthesis. The initial phase of my work involved developing a Machine Learning-based nuclear mass model, specifically tailored to predict nuclear masses crucial for r-process nucleosynthesis. This model was then applied to simulate the r-process, focusing on neutron-rich nuclei significant to nucleosynthesis. The simulations yielded r-process abundance patterns, extending up to thorium and uranium, that align qualitatively with the observed solar system abundance patterns, with the characteristic peaks well positioned. Advancing our study further, we introduced a novel graph-based methodology named GrRproc for calculating r-process abundances. …

Controlled Manipulation And Transport By Microswimmers In Stokes Flows, Jake Buzhardt

All Dissertations

Remotely actuated microscale swimming robots have the potential to revolutionize many aspects of biomedicine. However, for the longterm goals of this field of research to be achievable, it is necessary to develop modelling, simulation, and control strategies which effectively and efficiently account for not only the motion of individual swimmers, but also the complex interactions of such swimmers with their environment including other nearby swimmers, boundaries, other cargo and passive particles, and the fluid medium itself. The aim of this thesis is to study these problems in simulation from the perspective of controls and dynamical systems, with a particular focus …

Femtosecond Laser Shock Peening And The Dynamics Of Femtosecond Laser-Induced Shock Waves, Yuxin Li

All Dissertations

Laser shock peening (LSP) is an important material surface strengthening technique that uses laserinduced shock waves to cause severe plastic deformation near material surfaces. It can significantly improve material properties like hardness, strength, fatigue life, and corrosion resistance and is widely used in industrial sectors such as automotive, aerospace, nuclear, and medical areas. The conventional nanosecond laser shock peening (ns-LSP) has demonstrated effectiveness but faces challenges such as complex setup, low throughput, high energy consumption, and inflexibility for complex geometries. Femtosecond laser shock peening (fs-LSP) offers a promising alternative to overcome these issues, thanks to its ultra-high laser intensity and …

Use Of Ai To Recreate And Repatriate Lost, Destroyed Or Stolen Paintings: The 1785 Parisian Salon Case Study, Charles E. O'Brien, James Hutson, Trent Olsen, Jay Ratican

Faculty Scholarship

This study investigates the efficacy of artificial intelligence (AI) in the field of artwork restoration, focusing on lost, stolen, or destroyed artworks. Employing a dual approach that combines traditional manual restoration techniques with advanced generative AI tools, the research centers on a case study of the 1785 Parisian Salon. It specifically examines the reconstitution of Antoine François Callet's painting, Achilles Dragging the Body of Hector, unveiled alongside Jacques-Louis David's Oath of the Horatii. The study utilizes Easy Diffusion and Stable Diffusion 2.1 technologies for inpainting and colorization processes. These AI tools are employed in concert with manual restoration practices to …

Impacts Of Disturbance And Nutrient Addition On Coastal Dune Arthropod Communities, Kayla Beitzel

Honors Theses

Coastal dune ecosystems are globally distributed ecosystems that occur from the tropics to the poles and serve as the first line of defense during storms. They are critical habitats for a variety of organisms and also play a critical role in stabilizing coastal habitats. These systems face increased pressure via urban development, recreational expansion, and sea-level rise (Newman et al. 2023; Webster et al. 2005). Insects are vital consumers in coastal ecosystems and act as regulators of plant growth. Low-diversity ecosystems, like coastal dune systems, often contain a higher abundance of low-diverse insect consumers (Ripple et al. 2021), which can …

Ensuring Non-Repudiation In Long-Distance Constrained Devices, Ethan Blum

Honors Theses

Satellite communication is essential for the exploration and study of space. Satellites allow communications with many devices and systems residing in space and on the surface of celestial bodies from ground stations on Earth. However, with the rise of Ground Station as a Service (GsaaS), the ability to efficiently send action commands to distant satellites must ensure non-repudiation such that an attacker is unable to send malicious commands to distant satellites. Distant satellites are also constrained devices and rely on limited power, meaning security on these devices is minimal. Therefore, this study attempted to propose a novel algorithm to allow …

Cloud Computing In The World Of Generative Ai, Yassine Chahid, Patrick Slattery

Publications and Research

The purpose of this research is to evaluate the progress of cloud computation and generative artificial intelligence, and how the improvements in these respective technologies could be combined for future uses. Cloud computation and generative AI have rapidly developed in their capabilities. By analyzing the ways in which cloud computing and generative AI have been implemented thus far, a better understanding can be established regarding how they may influence current tech solutions within the information technology sector and beyond. The first portion of research consisted of researching the current capabilities of the two technologies respectively. By reviewing relevant publications and …

The Effect Of Demographic Characteristics On The Mathematics Performance Of Middle School Students On A Standardized Examination, Muteb Alanazi

Dissertations (2016-Present)

The purpose of this study was to investigate the impact of the demographic characteristics of middle school students on their mathematics performance on the STAAR examination. More specifically, this study examined the effect of the variables gender, ethnicity, and at-risk status, separate and collectively, on the four mathematics components (numerical representation and relationships, computations and algebraic, geometry and measurement and data analysis and personal financial literacy) of the STAAR’s examination among middle school students. Additionally, a 2x2x3 factorial design was used in the students. Two hundred forty (240) eighth-grade students enrolled in middle schools in the southern region of the …

Give Me A Break, Oil Companies Don’T Need Them: A Case Study Of Drilling Incentives In Louisiana Oil & Gas, Samuel Camacho

Honors Capstones

No abstract provided.

Deficiency Of Acute-Phase Serum Amyloid A Exacerbates Sepsis-Induced Mortality And Lung Injury In Mice, Ailing Ji, Andrea C. Trumbauer, Victoria P. Noffsinger, Luke W. Meredith, Brittany Dong, Qian Wang, Ling Guo, Xiangan Li, Frederick C. De Beer, Nancy R. Webb, Lisa R. Tannock, Marlene E. Starr, Christopher M. Waters, Preetha Shridas

Saha Cardiovascular Research Center Faculty Publications

Serum amyloid A (SAA) is a family of proteins, the plasma levels of which may increase >1000-fold in acute inflammatory states. We investigated the role of SAA in sepsis using mice deficient in all three acute-phase SAA isoforms (SAA-TKO). SAA deficiency significantly increased mortality rates in the three experimental sepsis mouse models: cecal ligation and puncture (CLP), cecal slurry (CS) injection, and lipopolysaccharide (LPS) treatments. SAA-TKO mice had exacerbated lung pathology compared to wild-type (WT) mice after CLP. A bulk RNA sequencing performed on lung tissues excised 24 h after CLP indicated significant enrichment in the expression of genes associated …

Impactful Interactivity Within Video Games, Luke Robert Maeser

Theses

Despite half a century of existence and dedicated academic programs educating next generations of game developers, conclusive evidence does not exist as to if video games are beneficial to learning or costly. Examining the notion of benefit versus cost, it is important to assess the value of video games when leveraged as tools for learning as traditional educational methodologies are not infallible. This paper explores how video games can generate psychological responses; and therefore, one must conclude learning has occurred. The following is encompassed: meaningful interactivity within video games (regarding narrative and gameplay), video games as educational tools, video game …

Journal Of Food Law & Policy - Fall 2023, Journal Editors

Journal of Food Law & Policy

No abstract provided.

Impacts Of Connected And Automated Vehicles On Energy And Traffic Flow: Optimal Control Design And Verification Through Field Testing, Tyler Ard

All Dissertations

This dissertation assesses eco-driving effectiveness in several key traffic scenarios that include passenger vehicle transportation in highway driving and urban driving that also includes interactions with traffic signals, as well as heavy-duty line-haul truck transportation in highway driving with significant road grade. These studies are accomplished through both traffic microsimulation that propagates individual vehicle interactions to synthesize large-scale traffic patterns that emerge from the eco-driving strategies, and through experimentation in which real prototyped connected and automated vehicles (CAVs) are utilized to directly measure energy benefits from the designed eco-driving control strategies. In particular, vehicle-in-the-loop is leveraged for the CAVs driven …

Deep Reinforcement Learning For The Design Of Structural Topologies, Nathan Brown

All Dissertations

Advances in machine learning algorithms and increased computational efficiencies have given engineers new capabilities and tools for engineering design. The presented work investigates using deep reinforcement learning (DRL), a subset of deep machine learning that teaches an agent to complete a task through accumulating experiences in an interactive environment, to design 2D structural topologies. Three unique structural topology design problems are investigated to validate DRL as a practical design automation tool to produce high-performing designs in structural topology domains.

The first design problem attempts to find a gradient-free alternative to solving the compliance minimization topology optimization problem. In the proposed …

An Investigation Of The Accretion Processes In T Tauri And Herbig Ae/Be Systems Using High Resolution Optical And Near-Infrared Spectroscopy, Joshua Kern

All Dissertations

Star and planet formation is intimately tied to the accretion of material from the environments in which they form. During the formation process, disks of gas and dust develop in young stellar objects through which material is facilitated to the star and forming planets. Theoretical models of these accretion processes invoke viscous spreading via hydrodynamics, as well as more complex interactions with magnetic fields be it from the stellar component or the formation environment in order to catalyze these mass flows. These accretion models predict various scenarios including magnetospheric accretion as well as supersonic accretion flows in the disk atmosphere …

Estimating Financial And Environmental Risk: Some New Developments And Comparison Study., Fnu Kamronnaher

All Dissertations

This dissertation delves into the concept of risk, specifically focusing on two prominent categories: financial risk and environmental risk.

Financial risk is the probability of unfavorable outcomes of an investment while environmental risk refers to the possible harm to the environment resulting from extreme weather events. More specifically, risk is the high (low) quantiles of the distribution of variables of interest. \\ To quantify and assess uncertainties in financial and environmental risk, robust and reliable methodologies are needed. The aim of this dissertation is to develop some risk assessment methods and compare them with the widely used methodologies in both …

Navigating The Stem Landscape: Exploring The Challenges And Opportunities For Latinas In Pursuit Of Representation And Inclusion, Ana B. Mendieta

Education Doctoral

This phenomenological study delves into the underrepresentation that Latinas experience in the science, technology, engineering, and mathematics (STEM) industry, a notable disparity given their increased enrollment in higher education, revealing a significant concern within the STEM educational pipeline. Utilizing the core components of the STEM identity framework (competence, performance, and recognition) in conjunction with the cultural value of familismo, which emphasizes strong familial bonds, the research seeks to illuminate the complexities Latinas navigate as they strive to carve a pathway within the STEM education to workforce pipeline. Using a qualitative approach, the study identifies that the timing of participants' initial …

Marss: Multi-Agent Reinforcement Learning For Satellite Swarms, Nicholas J. Yielding

Theses and Dissertations

Multi-agent systems and swarms in spacecraft formation flying are of ever-increasing importance in a contested space environment—use of multiple spacecraft to contribute to a cooperative mission potentially increases positive outcomes on orbit, while autonomy becomes an ever more important requirement to reduce reaction time in dynamic situations and lower the burden on space operators. This research explores difficult swarm Guidance Navigation and Control (GNC) scenarios using Deep Reinforcement Learning (DRL). DRL polices are trained to provide guidance inputs to agents in multi-agent swarm environments for completing complex, teamwork focused objectives in geosynchronous orbit. An example scenario is explored for a …

The Influence Of Advanced Math Course Enrollment In Potential First-Generation Students, Marian N. Jackson

LSU New Orleans Theses and Dissertations

There is limited research on potential first-generation college students’ K12 experiences. The enrollment in advanced math coursework while in high school is a crucial factor for such prospective college completion and success. Potential first-generation students, however, are more likely to enter college without advanced mathematics coursework. This grounded theory study utilized math literacy (Moses & Cobb, 2001) and notions of additive schooling (Valenzuela, 1999) to explore the reasons behind potential first-generation students’ enrollment decisions in advanced math courses. Data collection included semi structured interviews and demographic survey data of potential first-generation students. Findings indicate that the school counselor functions as …

Wavelet Compression As An Observational Operator In Data Assimilation Systems For Sea Surface Temperature, Bradley J. Sciacca

LSU New Orleans Theses and Dissertations

The ocean remains severely under-observed, in part due to its sheer size. Containing nearly billion of water with most of the subsurface being invisible because water is extremely difficult to penetrate using electromagnetic radiation, as is typically used by satellite measuring instruments. For this reason, most observations of the ocean have very low spatial-temporal coverage to get a broad capture of the ocean’s features. However, recent “dense but patchy” data have increased the availability of high-resolution – low spatial coverage observations. These novel data sets have motivated research into multi-scale data assimilation methods. Here, we demonstrate a new assimilation approach …

Using Explicit Instruction And Frequency Building To A Performance Criterion To Teach Writing To College Students With Disabilities, Alyssa R. Mcelroy

Dissertations

Proficient writing skills are critical for academic, vocational, and social outcomes for individuals with autism spectrum disorder (ASD) and intellectual and developmental disabilities (IDD). However, many individuals struggle to develop proficient writing repertoires. Explicit Instruction (EI) and Frequency Building to a Performance Criterion (FPBC) are two effective teaching strategies. EI is comprised of clear, direct instructions and scaffolding to support a gradual release of responsibility from teacher to student, and follows a model, lead, test format. Once a skill is mastered, it should be built to fluency. FBPC is method that uses timed practice and feedback to build skills to …

A Multi-Objective Stochastic Programming Model For Resilient And Sustainable Supply Chains Under Uncertainty, Mohammad H. Majdfaghihi

Dissertations

Supply chain resilience (SCRES) and sustainable supply chain management (SSCM) have garnered significant attention in the field of Supply Chain Management (SCM) science. This heightened interest is largely attributable to the increasing frequency and severity of uncertainty and disruptions in global supply chains. Resilience is a beneficial approach to managing uncertainties and preparing for and mitigating the adverse consequences of Supply Chain (SC) disruptions. Sustainability is a key concept in SCM, driven by governmental regulations and heightened stakeholder and customer concerns for environmental and societal well-being. Studies on SCRES have traditionally focused on preparing for and reacting to disruptions and …

Instilling Growth Mindset To Promote Students' English Learning Behaviors And Oral Communication Learning Achievement, Ratchadaporn Janudom

PASAA

This study aimed to (1) investigate students’ mindsets before and after the growth mindset is instilled on them, (2) examine effects of growth mindset-based instruction on students’ English learning behaviors, (3) explore effectiveness of growth mindset-based instruction on students’ oral communication learning achievement, and (4) investigate students’ attitudes towards their learning experiences through growth mindsetbased instruction. The study was conducted with a sample group of 42 English majored undergraduate students who were enrolled in the English Discovery Course in the first semester of the academic year 2022 at Prince of Songkla University, Surat Thani Campus. The experiment was carried out …

Teaching Without A Roadmap: A Mixed Methods Study Of New Teachers' Experience With A Missing Curriculum, Christopher Reid Williams

Dissertations

As new teachers enter the field of education, they face many challenges as they work to quickly adapt to the many demands of the job. One of the most pressing factors for new teachers is deciding what to actually teach each day. For educators, the curriculum represents the master plan that both guides their educational efforts and supplies the tools to get the job done. However, new teachers experience varying levels of curriculum support when they begin their careers, and some receive absolutely no support at all. This study describes those cases of beginning a teaching career with little to …

Rhythm And Meter As Text Expression: Jake Runestad's "Come To The Woods", Samantha Brewer

Master's Theses

Core to Western music education curriculum is the teaching and history of “word painting,” or text expression particularly as it pertains to the sixteenth-century madrigal. This approach to text expression is explored primarily through the lens of melodic and harmonic movement through a vocal line and the manner in which the line allows for better portrayal of the text or poem. The purpose of this thesis is to take a new approach to text expression in contemporary choral literature through the viewpoint of rhythm and meter. In this thesis, various analytical techniques from decades past and present are applied to …

The Use Of Stem Gaming To Promote Hearing Health In Youth, Catelyn D. Tweeten

Doctoral Scholarly Projects & Capstones

Hearing loss prevention programs targeting youth have been implemented in many forms to teach younger populations about hearing health to prevent noise-induced hearing loss. Some hearing loss prevention programs, such as Dangerous Decibels®, are based on health communication science and aim to not only increase youth’s knowledge about noise-induced hearing loss, but positively change their attitudes, beliefs, and behaviors towards safe listening practices. The purpose of this project was to investigate how an educational computer game called Song of the Starbird could potentially be used as an effective hearing health promotion tool for students with normal hearing and students with …