Digital Commons Network^™

Guest Editorial: Connecting Mathematical Representations From Algebra To Calculus, Kyunghee Moon

The Mathematics Enthusiast

No abstract provided.

The Destructive Work Of Restoration: Fishing Communities Facing Territorialization In Turag River, Efadul Huq, Mohammad Azaz

Environmental Science and Policy: Faculty Publications

Urban river restoration efforts are growing worldwide. Along with restoring and conserving rivers, riverside land is slated for public recreation, property development, and infrastructure for adaptation to climate change. Riverine landscapes, embedded in larger watershed ecosystems and claimed by multiple communities, are sites of contested planning in contemporary cities. In this paper, we advance the scholarship on contestation over control and access of urban rivers and floodplains by analyzing the role of river restorative legislation and water-centered planning in managing Turag, an urban river in Bangladesh. While river degradation in urbanizing regions is often ascribed to lack of regulatory controls …

Enhanced Rate Capability And Capacity Of Lib Full Cells Achieved Through Aerosol Jet Printing, Rodrigo Rodriguez, L. Jay Deiner, Bang-Hung S. Tsao, Joseph P. Fellner

Publications and Research

Thick lithium-iron phosphate (LFP) cathodes (31 mg cm−2) with rationally engineered pore structure and tortuosity were manufactured with an aerosol jet (AJ) printer. Cathode pore structuring was tuned by controlling the rate at which the printed ink dried. Slow-drying prints yielded smoother cathodes while fast-drying prints resulted in mesoscale structuring with substantial surface roughness. X-ray tomography further revealed that the rapid drying of AJ printed LFP cathodes produced low-tortuosity pore channels which were preserved after calendering. Full cells comprised of AJ print optimized LFP cathodes, with 30 mg cm−2 active material loadings, and capacity-matched, AJ printed lithium titanate anodes were …

Beyond Automation: Ai As A Catalyst For New Job Creation In Software Development, Jill Willard, James Hutson

Faculty Scholarship

As artificial intelligence (AI) continues to evolve, its impact on software development and programming is profound, drawing parallels to the shift from assembler to object-oriented programming. This article explores how AI is reshaping the landscape of software jobs, creating new opportunities rather than diminishing them. By simplifying complex tasks and lowering barriers to coding, AI is expanding the technology "pie," introducing new use cases, and enhancing efficiency. The transition from monolithic services to microservices has reduced risks and accelerated deployment processes, and AI is poised to further this evolution by managing the complexities of service interactions through advanced orchestration layers. …

Rural Electrification Subsidies: Quantification, Structure And Policy Implications, Lefu Maqelepo

Theses

This dissertation explores rural electrification subsidies and the policies around them, with an objective of assessing whether there are opportunities to restructure, and therefore redistribute subsidies to a larger portfolio of technology options to accelerate rural electrification and improve energy justice. Redistribution of subsidy necessitates an understanding of the amount of subsidy and how it is distributed. To do this, a quantitative modeling framework that enables for a direct comparison between grid extension and mini grid based electrification pathways based on implicit subsidy required to make connections over a system lifetime was developed and is presented. Using this framework, our …

A Non-Envelope Theorem With Linearly Homogeneous Constraints, Eduardo Dávila, Andreas Schaab

Cowles Foundation Discussion Papers

This paper shows that it is possible to define an unambiguous notion of the direct effect of a parameter perturbation on the value of an optimization problem’s objective away from an optimum for problems with linearly homogeneous constraints. This notion of the direct effect relies on reformulating the optimization problem using shares as choice variables, and has the interpretation of holding choice variables — when formulated as shares — fixed. This short paper contains one formal “non-envelope” theorem and four applications to i) consumer demand, ii) cost minimization, iii) planning in exchange economies, and iv) planning in production economies.

Value Of Macroalgae As Habitat In A Eutrophic Coastal Bay, Dominika Polchowska

Theses, Dissertations and Culminating Projects

Eutrophication is a phenomenon caused by changes in nutrient loading that results in harmful algal blooms, an overgrowth of macroalgae, altered aquatic benthic invertebrate communities, and loss of ecosystem functions. Barnegat Bay, NJ is a highly eutrophic system that has experienced a substantial loss of seagrass beds with subsequent expansion of drift macroalgae. Although considered poor quality, these algal beds represent valuable habitat for many benthic invertebrates. This research assesses the value of macroalgae as a habitat for macrofauna in regions where macroalgae are the dominant “vegetation.” Benthic drift algal samples were collected during June and August 2023 to reflect …

The Experiences And College Readiness Of Native American Students Who Participated In Dual Credit/Dual Enrollment And Transitioned To Higher Education, Krystal Marie Caldwell

Theses and Dissertations

This qualitative research study employed the Diverse Learning Environment Model to examine how dual credit/dual enrollment course participation by Native American students impacts their college readiness and transition to college. Literature shows that students who take dual credit/dual enrollment in high school are more likely to graduate from high school and transition to college and have less time to degree completion. Furthermore, dual credit/dual enrollment course participation also increases students’ college readiness and improve student’s self-efficacy. The guiding notion of this paper are the overwhelming benefits to students who participate in dual credit/dual enrollment coursework in high school and how …

Uas Teaming For Search And Rescue Applications, Conner Carriere

Theses and Dissertations

Unmanned Aerial Systems (UAS) in Search and Rescue (SAR) operations,combined with teaming configurations and optimized path planning algorithms, enhance efficiency in locating and assisting disaster victims. Flooding accounts for 90% of natural disasters in the USA, necessitating rapid scouting and supply drops in affected areas. Current UAS path planning lacks proper start and end point selection and does not use multiple aircraft collaboratively.

This study introduces a UAS teaming strategy with high-altitude leader drones for area coverage and lower-altitude follower drones for detailed data collection and supply drops. The focus is optimizing follower drone path plan- ning using the Open-Loop …

Analyzing Hubble Space Telescope Images Of Agn Host Galaxies With Keck Integral Field Spectra, Sebastian Contreras

Physics

In the center of most massive galaxies is a supermassive black hole (SMBH) with a mass that can range from millions to billions of solar masses. It has been observed that more massive SMBHs have a more massive host galaxy bulge, as evidenced by the larger bulge luminosity and stellar velocity dispersion, a correlation known as the BH mass - host-galaxy scaling relation. It suggests a close evolutionary connection between the growth of the SMBH and the growth of its host galaxy. If a SMBH develops an accretion disk to fuel an active galactic nucleus (AGN), it will emit radiation …

Exploiting Physical Side-Channel Information For Offensive And Defensive Ends, Sisheng Liang

All Dissertations

Side-channel information consists of side effects of computation that range from microarchitectural to physical phenomena. Empirical studies have demonstrated the practical exploitability of these side effects in real-world systems for malicious attacks and effective defenses. In this dissertation, we discover, analyze, and exploit certain physical side-channel information for end-to-end attacks and defense across three studies.

In the first study, we demonstrate a new DNN model extraction attack named Clairvoyance that exploits certain far-field electromagnetic signals emitted from a GPU to steal DNN models several meters away from the victim machine, even with some physical obstacles in between. Using Clairvoyance, an …

Frameworks For The Techno-Economic Assessment Of Membrane-Based Bioprocessing Platforms, Juan Jose Romero Conde

All Dissertations

This dissertation describes developing and implementing computational frameworks for simulating and optimizing purification processes in the biopharmaceutical industry. The framework performs techno-economic analyses to establish value propositions for new process alternatives, especially membrane technologies. Initially, the focus is developing a framework capable of simulating monoclonal antibody (mAb) capture using membrane and resin media in multi-column chromatography (MCC) platforms for continuous manufacturing. Subsequently, the impact of capture MCC is compared against other intensification strategies in established mAb manufacturing facilities. Finally, the framework application expands to simulate the purification of adeno-associated virus (AAV) vectors for gene therapy.

Chapter 2 details the framework …

Offensive Content Detection In Online Social Platforms, Ebuka Okpala

All Dissertations

Online social platforms enable users to connect with large, diverse audiences and the ability for a message or content to flow from one user to another user, user to followers, followers to user, and followers to followers. Of course, the advantages of this are apparent, and the dangers are also clearly obvious. The user-generated content could be abusive, offensive, or hateful to other users, possibly leading to adverse health effects or offline harm. As more of society's public discourse and interaction move online and these platforms grow and increase their reach, it is inherently important to protect the safety of …

Impact Of Heat Treatment On Microstructure & Friction Performance Of Nasa Al 398 Alloy Rotors, Manjith Srinivas Koganti

Theses

Interaction of friction brakes with external environment can considerably influence their performance which could relate to friction instabilities and friction induced vibration and noise. The goal of this thesis is to optimize the mechanical properties of Al-alloy and address the friction, wear, and noise heat-treated rotors tested in scaled down SAE recommended testing procedure. The adopted T5 heat treatment process of Al-alloys involves a particular order of controlled heating and cooling steps designed to get specific microstructural changes within the alloy leading to optimized strength/hardness. Hardness is measured with Rockwell’s Hardness Tester. Artificial ageing at elevated temperature process is done. …

On The Computable List Chromatic Number And Computable Coloring Number, Seth Campbell Thomason

Theses

In this paper, we introduce two new variations on the computable chromatic number: the computable list chromatic number and the computable coloring number. We show that, just as with the non-computable versions, the computable chromatic number is always less than or equal to the computable list chromatic number, which is less than or equal to the computable coloring number.We investigate the potential differences between the computable and non-computable chromatic, list chromatic, and coloring numbers on computable graphs. One notable example is a computable graph for which the coloring number is 2, but the computable chromatic number is infinite.

Testing Multiple Linear Regression With The One Component Partial Least Squares Estimator, Kasun Halagoda Vidana Pathiranage

Research Papers

We consider testing the multiple linear regression model with the one component partial least squares (OPLS) estimator and the marginal maximum likelihood estimator (MMLE) where the sample covariance vector ηˆOP LS = ΣˆxY, including the case where the predictors have been standardized to have unit variance. Some of the tests can be done in high dimensions.

An Adaptive Nonlinear Least-Squares Finite Element Method For A Pucci Equation In Two Dimensions, Susanne C. Brenner, Li Yeng Sung, Zhiyu Tan

Faculty Publications

We present an adaptive nonlinear least-squares finite element method for a two dimensional Pucci equation. The efficiency of the method is demonstrated by a numerical experiment.

Anderson Localization For The Unitary Almost Mathieu Operator, Fan Yang

Faculty Publications

We prove Anderson localization for all Diophantine frequencies and all non-resonant phases for a model that arises from a 2D quantum walk model subject to an external magnetic field, also known as the unitary almost Mathieu operator. Our work provides the first localization results for all Diophantine frequencies in quasi-periodic quantum walk and CMV matrix setting. We also obtain sharp asymptotics of the localized eigenfunctions.

Analyzing Anuran Diversity In Urban And Rural Wetlands Using Frog Call Citizen Science Data, Jeremiah Rhodes

Masters Theses and Doctoral Dissertations

Amphibians are currently experiencing a crisis of high extinction rates because of habitat destruction, and climate change. Citizen science, the incorporation of citizens in data collection or management of scientific research, has become necessary to monitor populations widely. The Tennessee Amphibian Monitoring Program is a citizen science program, at the state-level that conducts manual calling surveys in Tennessee. The TAMP dataset was analyzed to see if there was a difference in diversity and abundance of anurans in urban wetlands compared to rural wetlands in the Ridge and Valley ecoregion. A Hutchenson’s t-test and a Mann-Whitney U test found that the …

Computation Of Moving Interface Flows In Biophysical Applications, Mohammad Murshed

Masters Theses and Doctoral Dissertations

This dissertation is concerned with the modeling, simulation, and analysis of moving interface problems involving viscous fluids and solid structures. The main computational technique employed in this work is the immersed boundary method, a widely known numerical method for fluid-structure interaction (FSI). In this technique, the fluid equations are solved in an Eulerian grid and the structure is treated as a network of Lagrangian nodes. The communication between the fluid and structure dynamics is established by the use of the Dirac delta function. Utilizing the immersed boundary method, we have studied three biophysical applications. In the first application, we computed …

Exploring Healthcare Chatbot Information Presentation: Applying Hierarchical Bayesian Regression And Inductive Thematic Analysis In A Mixed Methods Study, Samuel Nelson Koscelny

All Theses

High blood pressure, also known as hypertension, significantly increases the risk of heart disease and stroke, which are leading causes of death in the United States. While contributing to over 691,000 deaths in 2021 alone in the United States (U.S.), it also imposes immense economic burden on the healthcare system, costing approximately $131 billion annually. One way to address this issue is for increased self-care behaviors and medication adherence, both of which require sufficient health literacy. Despite the importance of health literacy, 90% of U.S. adults struggle with health-related subjects. Overcoming the issues associated with health literacy requires addressing the …

Jwst-Tst High Contrast: Jwst/Nircam Observations Of The Young Giant Planet Β Pic B, Jens Kammerer, Kellen Lawson, Marshall D. Perrin, Isabel Rebollido, Christopher C. Stark, Tomas Stolker, Julien H. Girard, Laurent Pueyo, William O. Balmer, Kadin Worthen, Christine Chen, Roeland P. Van Der Marel, Nikole K. Lewis, Kimberly Ward-Duong, Jeff A. Valenti, Mark Clampin, C. Matt Mountain

Astronomy: Faculty Publications

We present the first JWST/NIRCam observations of the directly imaged gas giant exoplanet β Pic b. Observations in six filters using NIRCam's round coronagraphic masks provide a high-signal-to-noise-ratio detection of β Pic b and the archetypal debris disk around β Pic over a wavelength range of ∼1.7-5 μm. This paper focuses on the detection of β Pic b and other potential point sources in the NIRCam data, following a paper by Rebollido et al. that presented the NIRCam and MIRI view of the debris disk around β Pic. We develop and validate approaches to obtaining accurate photometry of planets in …

Improving Expressive Capacity Of Deep Neural Networks, Clayton Harper

Computer Science and Engineering Theses and Dissertations

Deep learning has had remarkable success in a variety of fields. However, architectures often rely on hyperparameter searches and heuristics for improved model performance. Performing hyperparameter searches is an arduous task--often time-consuming and potentially expensive to run on accelerated hardware. As a result, practitioners often rely on heuristics which may lead to sub-optimal results. In the context of deep learning, hyperparameters are set by the user prior to the training process and remain fixed. Deep learning uses gradient descent to learn complex feature representations from data, limiting human intervention. While the weights of the architecture can learn directly through data …

Preguntas Más Frecuentes De Perforación, Universidad De Dakota Del Norte. Centro De Investigación De Energía Y Ambiental

EERC Brochures and Fact Sheets

Hoja informativa acerca de la investigación geológica de la perforación. Muestras de roca cilíndricas, llamadas núcleos de roca, y datos geológicos serán adquiridos en un pozo exploratorio perforado en el Condado McKenzie, Dakota del Norte

Introduction To Neuroengineering, Mercedes Terry, Abigail Tubbs, Blair Dupre, Brandon Fugger, Enrique Alvarez Vazquez

Open Educational Resources

"Introduction to Neuroengineering" serves as a comprehensive guide to the fast evolving field at the intersection of neuroscience, engineering, and technology. This book covers foundational concepts like neuron structure, action potentials, and neural modeling, moving through advanced topics like brain-computer interfaces (BCIs), neurostimulation, and imaging technologies (EEG, MEG, fMRI). Each chapter combines theory with practical exercises and lab examples, accessible through a GitHub repository to enhance hands-on learning. Aimed at students, educators, and professionals, this resource offers a foundation and inspiration for innovation in neuroengineering, promoting ongoing exploration in this impactful field.

Georgia Tech Library Reaches Out In Native Languages, Jason D. Wright

Georgia Library Quarterly

The Georgia Tech Library recently launched a series of multi-language welcome videos for students and faculty. The videos, which are available in French, Arabic, Mandarin, Korean, Hindi, Tamil, Spanish and English, are available 24 hours a day on the Library’s YouTube page. They were produced completely in-house using native speakers in the Library and across the Institute.

Verification And Validation Of Software System Class Models, Kruti Shah

Theses and Dissertations

The Unified Modeling Language (UML) is a foundation in software development, providing standardized notation for visualizing, specifying, constructing, and documenting software systems. UML class models, in particular, offer a static view of a system's structure, capturing essential elements such as classes, attributes, operations, and relationships. Despite the widespread adoption of UML and its class modeling capabilities, challenges persist in ensuring the models' correctness, reliability, and effectiveness. This research presents a comprehensive study of UML's role in software development, delving into existing literature to examine the development of UML class models, its significance in various stages of the software development lifecycle, …

2024-2025 Lindenwood University Undergraduate Course Catalog, Lindenwood University

Course Catalogs

Lindenwood University Undergraduate Course Catalog

The Q Is Chaos: Freedom 4 Artists Is Ostranenie, Cristian J. Alba-Dominguez

Theses, Dissertations and Culminating Projects

In this thesis, I suggest that ostranenie is the artistic equivalent of chaos and it can be used by artists to grab and maintain the perception of an audience through the disruption of norms or pre-established conditions. Ostranenie, the device of art introduced by Russian Formalist Victor Shklovsky in his essay, “Art as Device,” is a device that gives absolute freedom to the creative person who isn’t afraid to use it to create original and engaging work. In the novel, 1Q84, Haruki Murakami utilizes ostranenie to tell a simple love story in a manner that prolongs the reunion of his …

Examining The Theory Of Planned Behavior As An Explanation For Why Some Creatives Learn To Use Generative Ai Tools, Navrose Bajwa

Theses, Dissertations and Culminating Projects

Artificial Intelligence (AI) can create art which earlier was restricted to humans. This involvement of AI in creating art poses risks of automation for the arts and design industry. One way with which artists can respond to this threat is to engage in proactive coping behavior and learn to use generative AI (GAI) for their work. Using an expanded version of Theory of Planned Behavior, this study looked at the predictors of graphic designer’s intentions to learn how to use GAI for art and design work. It was hypothesized that attitudes, social norms, perceived behavioral control and automation awareness would …