Digital Commons Network^™

Evaluating The Performance Of Bayesian Removal Models For Estimating Population Density And Detecting Trends With Variable Detection Probability, David R. Stewart

Mathematics & Statistics ETDs

Removal models have long been used to estimate population abundance by progressively capturing and removing individuals from a closed population. These models provide a valuable tool for ecological monitoring, but their accuracy depends heavily on assumptions about detection probability, which may decline over successive sampling passes. Traditional removal models assume constant detection probabilities, an assumption that is often violated in real-world applications. This thesis aims to advance hierarchical Bayesian models by accounting for variable detection probabilities, improving the reliability of abundance estimates and trend detection. By integrating simulation-based analyses with empirical data from Lahontan Cutthroat Trout (Oncorhynchus clarkia henshawi …

Navigating Circuit Splits: Analyzing Career Offender Enhancements In The Federal Sentencing Guidelines Through Canons Of Construction, Riley M. Goff

Undergraduate Theses

This paper analyzes the Career Offender Enhancement within the Federal Sentencing Guidelines. This enhancement can provide unequal sentences for similarly situated defendants in different federal circuits. This paper seeks to investigate the current circuit split and utilize the canons of construction to provide a better understanding of how this split could be resolved and the philosophical reasoning. To answer this question, I conducted a case study on four different cases within four different circuits to understand the courts' reasoning behind their application or lack of application of the Career Offender Enhancement. The results show two main issues surrounding the enhancement: …

Discovery Of Suitable Habitat For Freshwater Mussel Species In The Appomattox River Through The Use Of Environmental Dna., Nicholas Duellman

Longwood Senior Thesis Proposal

Freshwater mussels are a keystone species providing crucial ecosystem services and river composition resiliency. Anecdotal evidence suggests the presence of freshwater mussels within the Appomattox river, the specifics of population sizes and suitable habitat remains an open question. Environmental DNA (eDNA) usage in conservation ecology has exploded in use within the past two decades, being far less invasive and cost-demanding than traditional methods. An eDNA metabarcoding pipeline of the 16s mitochondrial ribosomal subunit was built in R v. 4.4.2, using dada2 v. 3.2.1 package to trim MinION single read ASV outputs for freshwater mussel species identification in the interest of …

04.07.2025 Ored Connect, Liz Williamson

ORED Newsletter

New ORED Website Goes Live

Oxford Pitch Competition

Hughes Miller, Strategic Partnerships

Environmental Education Professionals And K-12 School Counselors: Collaboration For Engaging The Conservation And Natural Resources Workforce Of The Next Generation, Brent M. Erb

Education Doctorate Dissertations

Environmental education (EE) professionals often fail to reflect the diverse, intersectional identities of the students and communities they serve. As frontline professionals among the conservation and natural resources (CNR) professions, addressing this requisite and urgent disparity is vital for fostering equitable teaching and learning environments that are safe, welcoming, accessible, and inclusive. EE professionals play a pivotal role in filling knowledge gaps, fostering ecological literacy, and introducing students to CNR careers, just as K-12 school counselors play a meaningful role in helping students expand upon their interests and acquire experience and skills to cultivate self-efficacy to support the belief in …

Renormalized Stress-Energy Tensor For Scalar Fields In The Boulware State With Applications To Extremal Black Holes, Julio Arrechea, Cormac Breen, Adrian Ottewill, Lorenzo Pisani, Peter Taylor

Research Outputs: 2025-Present

No abstract provided.

The Grand Narratives: The Rise And Fall Of Universal Philosophical Systems, Gavin S. Litchford

Senior Honors Theses

This thesis reviews the development of narrative and systematic methods of argumentative legitimation in the Western tradition of philosophy from its conception until the present day. Utilizing both primary sources from central figures in key movements within this development process and supplementary secondary sources, this analysis notes which systems were used as appeals to higher authority and the trends in the adoption and transformation of new models. It is demonstrated that the Enlightenment era punctuated a progression begun in the premodern era from simple, cultural narratives to individualized, subjective, and self-perpetuating Grand Narrative systems, and that it generated the preconditions …

Predicting PkA Of Flexible Polybasic Tetra-Aza Macrocycles, Tatum K. Harvey, Kristof Pota, Magy Mekhail, David M. Freire, Donatus A. Agbaglo, Benjamin G. Janesko, Kayla N. Green

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

We present physics-based pK_a predictions for a library of tetra-aza macrocycles. These flexible, polybasic molecules exhibit highly charged states and substantial prototropic tautomerism, presenting a challenge for pK_a prediction. Our computational protocol combines CREST/xTB conformational sampling, density functional theory (DFT) refinement in continuum solvent, and a linear empirical correction (LEC). This approach predicts known tetra-aza macrocycle pK_a to within a root-mean-square deviation 1.2 log units. This approach also provides reasonable predictions for the most stable protomers at different pH. We use this protocol to predict pK_a values for four novel, synthetically achievable, …

Evaluating Wrist Placement And Signal Processing Techniques For Real-World Hrv Monitoring Using Ppg, Andrew Murphy

College of Computing and Digital Media Dissertations

This thesis investigates trade-offs between signal quality and data coverage in photoplethysmographic (PPG) heart rate variability (HRV) monitoring using wrist-worn devices. The goal was to evaluate whether wrist placement and signal processing techniques can improve measurement reliability in real-world conditions. Data was collected from healthy participants wearing smartwatches on both wrists during rest and a structured math task introducing natural wrist movement. Three distinct processing methodologies were compared, including a proposed Rolling-Standardized Derivative (RSD) approach. Results showed that while HRV signals from both wrists were highly correlated at rest, motion caused a measurable drop in signal quality and inter-wrist agreement, …

Living With Alzheimer’S: A Guide To How To Lower The Risk Of Memory Loss & Care For Those With Alzheimer’S, Mona Muzammil, Washain Muzammil

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

Despite the frequent characterization of Alzheimer's disease as a “loss of self,"" this enlightening book demonstrates unequivocally that a person's unique self persists throughout the course of the disease. The important message in Caring for People with Alzheimer’s is how much can be done in care settings to support a person's sense of identity and thereby enrich the lives of people experiencing the many losses associated with dementia. Drawing from a diverse body of research, this book brings together the recommendations of the best thinkers and practitioners in multiple disciplines to illustrate the meaning of self and the importance of …

Mri-Based Digital Twins To Improve Treatment Response Of Breast Cancer By Optimizing Neoadjuvant Chemotherapy Regimens, Chengyue Wu, Ernesto A B F Lima, Casey E Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M Rauch, Thomas E Yankeelov

Faculty, Staff and Student Publications

We developed a practical framework to construct digital twins for predicting and optimizing triple-negative breast cancer (TNBC) response to neoadjuvant chemotherapy (NAC). This study employed 105 TNBC patients from the ARTEMIS trial (NCT02276443, registered on 10/21/2014) who received Adriamycin/Cytoxan (A/C)-Taxol (T). Digital twins were established by calibrating a biology-based mathematical model to patient-specific MRI data, which accurately predicted pathological complete response (pCR) with an AUC of 0.82. We then used each patient's twin to theoretically optimize outcome by identifying their optimal A/C-T schedule from 128 options. The patient-specifically optimized treatment yielded a significant improvement in pCR rate of 20.95-24.76%. Retrospective …

Seasonal Effects Of Plant Functional Groups On Molecular Biogeochemistry Of Dissolved Organic Matter In Porewater Of A Poor Fen, Zhimin Song, Maryam Khaksari, Erik A. Lilleskov, Evan Kane, Paul V. Doskey

Michigan Tech Publications

Climate change may transform peatlands from net carbon (C) sinks to C sources, which could result in a positive feedback to global warming. Warmer temperatures might lower water tables, increase the abundance of shrubs, slow Sphagnum and sedge growth and further accelerate the decomposition of dissolved organic matter (DOM) with a concomitant release of C from the surface. Studies in which vascular plant functional groups (PFGs) in peatlands have been manipulated to mimic the potential effects of a warming climate on DOM are scarce. In the subject study, seasonal effects of PFGs on the molecular composition of DOM of peat …

Simplifying 3d Printing Using Natural Language Processing, Jared E. Rosenberger

Undergraduate Theses

3D printing is a crucial technology with many applications in different fields. To be able to use this technology to its full extent, expertise in computer aided design (CAD) technology and 3D modeling is required. Many people interested in 3D printing do not have this expertise and thus cannot build custom models, and are consequently forced to buy them instead. Natural language processing (NLP) is one tool that can vastly simplify 3D modeling for those lacking CAD experience. Using NLP, someone can simply dictate what they want to be able to print, and a computer can then build a 3D …

Tiny Creatures, Big Lessons: Using Music Education And Ecoliteracy To Impact Young Learners' Perspectives On Bugs And Nature, Paige Burgess '25

Honor Scholar Theses

This thesis aims to demonstrate that relationships between students and nature can be improved through teaching young learners about music and bugs together, potentially leading to a greater overall love for and willingness to protect nature. The thesis features original teacher action research conducted over multiple weeks in a first grade classroom, with observations and data to support the efficacy of the methods discussed. This thesis analyzes literature that supports how increasing empathy toward bugs at a young age can have tangible benefits for the environment, how ecoliteracy as a framework is an effective means of teaching about nature, and …

How It Will End: Physical And Philosophical Implications Of The Fate Of Our Universe, Alex Bittle '26

Honor Scholar Theses

What does physics have to say about the end of our universe? And what does it mean for us, if anything? Answering these questions requires an understanding of the so-called "lambda-cold dark matter" (ΛCDM) model of cosmology, which models the universe as containing an expanding pressure, Λ or dark energy, in a battle with the gravitational attraction provided by dark and regular matter. First, the physics (including observations and theory) of the ΛCDM, including the Big Bang and CMB, the inflationary period, and equations that govern the way the size of the universe changes with respect to time for different …

Intergenerational Codesign Of Immersive Technology For A Heritage Site And Underwater Vr Experience, Marius Varga, Oksana Hagen, Rory Baxter, Alejandro Veliz Reyes, Ray Jones, Amir Aly, Dena Bazazian, Gaudl Swen

School of Nursing and Midwifery

The development of immersive Extended Reality (XR) applications tailored for older adults remains a significant challenge, even amidst rapid technological advancements. Neglecting to account for the specific needs and requirements of endusers in the design process can result in reduced adoption rates or a total lack of engagement. We present findings and recommendations for building immersive experiences for older adults by exploring the similarities and differences encountered during the development of two immersive XR applications, with a specific focus on cultural heritage and underwater telepresence. The application development followed a monthly, iterative approach, integrating rapid prototyping for a total of …

The Effect Of Weed Control Using Herbicide On Soil Bacteria, Growth, And Yield Of Sweet Corn, Lafi Na'imatul Bayyinah, Purwanto, Risqa Naila Khusna Syarifah, Rama Adi Pratama, Ida Widiyawati, Hendra

Jurnal Kultivasi

Weeds are managed by herbicides, but this can reduce the abundance of soil bacteria. This research aimed to determine the effect of active compounds of herbicides on weeds, the abundance of soil bacteria, growth and yield of sweet corn. The experiment was conducted from June to October 2023 in the fields and Laboratory of Agronomy and Horticulture, Universitas Jenderal Soedirman, Purwokerto. A randomized block design was used, consisting of eight treatments and four replications. The treatments included control (H0); weeding (H1); paraquat (H2); glyphosate (H3); paraquat, atrazine, mesotrione (H4); glyphosate, atrazine, mesotrione (H5); paraquat, atrazine, mesotrione, nicosulfuron (H6); and glyphosate, …

Perceptions About Potential Microplastic Interventions: A Study On Knowledge, Concerns, And Willingness To Pay, Amanda Gannon, Elise F. Granek, Max Nielsen-Pincus, Luke Harkins

Environmental Science and Management Faculty Publications and Presentations

Among emerging contaminants, microplastics (MPs) are of particular concern due to their ubiquity across environments and the unique challenges posed by attempted removal. In-line washing machine filters are one potential tool for preemptively preventing a category of MPs from entering waterways. A sample of registered voters and environmental interest groups in Oregon were asked about their general knowledge and concerns surrounding microplastics, as well as their willingness to pay for high-efficiency washing machine filters. Findings show that less than a quarter of all respondents would be willing to pay full price for a high-efficiency filter, indicating a limited-scale early adopter …

An Effective Genetic Algorithm For Mixed Precision, Wanyu Zhang, Yu Shang, Min Tsao, Yiwei Li, Xiaoyu Song

Electrical and Computer Engineering Faculty Publications and Presentations

The precision of floating-point numbers is a critical task in high-performance computing. Many scientific applications rely on floating-point arithmetic, but excessive precision can lead to unnecessary computational overhead. Reducing precision may introduce unacceptable errors. Addressing this trade-off is essential for optimizing performance while ensuring numerical accuracy. In this paper, we present a genetic algorithm-based approach for tuning the precision of floating-point computations. Our method leverages algorithmic differentiation and first-order Taylor series approximation to assess the impact of precision variations efficiently. We employ stochastic partitioning algorithms with multiple precision combinations that meet the error requirements. Moreover, we present a genetic heuristic …

From Adversarial Attacks To Robust Classifiers - A Study In Social Media Spam Detection - Black Box & White Box, Jonathan Jose Penaloza Rumie

Undergraduate Theses

Adversarial attacks pose a significant threat to the reliability of machine learning-based spam detection systems in social media. This undergraduate thesis, "From Adversarial Attacks to Robust Classifiers: A Study in Social Media Spam Detection – Black Box & White Box," systematically examines the impact of both black-box and white-box adversarial attacks on a range of spam classifiers, including Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Bagging, Gradient Boosting, and Support Vector Machines. Leveraging a novel dataset derived from Twitter spam messages and enhanced with adversarial perturbations such as synonym replacement and character-level modifications, this study evaluates classifier performance under …

University Recognizes 2024-25 Hall Of Fame Inductees, Jordan Karnbach

University of Mississippi News

OXFORD, Miss. – The University of Mississippi has inducted 10 seniors into the 2024-25 Hall of Fame, one of the highest honors given to Ole Miss students.

Mechanical Properties Of Films Based On Blends Of Starch-Coumarin Complex And Other Polymers Reinforced With Microcrystalline Cellulose, Amaliya Sita Permatasari, Rachmawati Rachmawati

Chimica et Natura Acta

This research aimed to develop scented plastic materials based on cassava starch, coumarin, microcrystalline cellulose (MCC), and other polymers such as xanthan gum, karaya gum, gum arabic, poly(vinyl alcohol) (PVA), and poly(lactic acid). The films were made by solvent casting, focusing on using starch-coumarin (SC) complex as the base material. The SC complex was prepared by mixing starch and coumarin using water as a dispersion medium. The amount of coumarin was 5% (w/w), based on total weight of starch and coumarin. Several variations were used, such as types of plasticizers, stirring and sonication times to disperse MCC, types of added …

Maxwell’S Equations Optimizer (Meo): A New Physics Based Metaheuristic Optimization Algorithm For Solving Optimization Problems, Samia Mandour, Abduallah Gamal, Ahmed Sleem, Mohamed Belal, Nebojsa Bacanin

Sustainable Machine Intelligence Journal

In this paper, a new metaheuristic algorithm inspired by the principles of physics called Maxwell's Equations Optimizer (MEO) is presented. Maxwell's are considered one of the most well-known equations in the field of physics. These equations are a set of four equations that describe the behavior of electric and magnetic fields, their interactions and the influence of objects. Simulating how equations behave is the core concept of MEO. These equations behave according to two main behaviors. They are as follows: divergence behavior, and curl behavior. Divergence measures the tendency of the charge to collect or disperse at a point (exploration …

Uso De Una Aplicación De Voz Con Ia Por Teléfono Para Promover La Salud, Oksana Hagen, Rory Baxter, Amir Aly, Ray Jones

School of Nursing and Midwifery

No abstract provided.

Closing Remarks, Jay Yang

Value and Responsibility in AI Technologies

Closing remarks from director of Gonzaga's Institute for Informatics and Applied Technology, Dr. Jay Yang, with a reception to follow.

Keynote Presentation: Navigating A Career In Academic Medical Research, Dr. Jennie Kwon

Student Research Symposium

No abstract provided.

36 - Investigation Of The Digital Footprint Of Scientific Research In Social Media – Preliminary Findings, Lee Logan, Dominik Soos, Sean Baker, Jian Wu

Undergraduate Research Symposium

Title: Investigation of The Digital Footprint of Scientific Research in Social Media – Preliminary Findings

Authors: Lee Logan, Sean Baker, Dominik Soos, Jian Wu

The spread of scientific information and research beyond the confines of academic institutions plays a central role in how the public understands and trusts modern sciences. Social media has become an essential means of dissemination for scholarly news, papers, and other forms of engagement. This research aims to explore how scientific research is disseminated over social media to understand its role as a bridge between peer-reviewed research and the public's overall understanding. To support the research …

Manifesto Of An Arab Female, Diditta Rizk

Amplify: A Journal of Writing-as-Activism

In this manifesto, the author provides a window into her gendered experiences growing up female in the Middle East. In identifying the ways that women encounter obstacles to expressing their full agency in male-dominated societies, the author invites the reader to join her in redefining the narrative of what it is and means to be a woman. The manifesto ends with a call for us to become architects of a new perspective through which equity becomes reality, one where we strive collectively for peace, freedom, and the pursuit of the common good.

32 - Nested Two Level Decomposition For Quantum Computing, Andrew Maciejunes, John Stenger, Dan Gunlycke, Nikos Chrisochoides

Undergraduate Research Symposium

Abstract—We present a two-level decomposition strategy for solving the Vehicle Routing Problem (VRP) using the Quantum Approximate Optimization Algorithm (QAOA). A Problem-Level Decomposition (PLD) partitions a 9-node (72-qubit) VRP into smaller Traveling Salesman Problem (TSP) instances. Each TSP is then further simplified via Circuit-Level Decomposition (CLD), enabling execution on near-term quantum devices. Our approach achieves up to 90% reductions in circuit depth and qubit count. These results demonstrate the feasibility of solving VRPs previously too complex for quantum simulators and provide early evidence of potential quantum utility.

08 - Blue Carbon Sequestration And Sediment Storage In Seagrass Meadows Of South Bay, Luke C. Clements, Adriana Amrhein, Richard P. Hale

Undergraduate Research Symposium

Blue carbon is stored in coastal and marine ecosystems like seagrass meadows and salt marshes, which helps combat climate change by preventing greenhouse gas emissions. This study examines the role of seagrass in carbon storage by comparing sediment cores from a mud channel and a seagrass meadow in South Bay.

We collected a 100 cm core from the mud channel and a 55 cm core from the seagrass area, taking samples every 10 cm to analyze grain size and organic carbon content. Using a wet sieving method, we separated sand from mud and measured organic carbon through loss on ignition. …