Digital Commons Network^™

Democracy, A Philosophy Of Hope, Joseph P. Hester

The Journal of Values-Based Leadership

No abstract provided.

One Year Of Analysis Of Pfas Contamination In Surface Waters Of The West Plains Region Of Spokane County, Jerusha R. Hampson

2025 Symposium

The West Plains has been significantly impacted by PFAS contamination due to the decades-long use of aqueous film-forming foam (AFFF) for firefighting training at both Fairchild Air Force Base (FAFB) and the Spokane International Airport (SIA). Groundwater contamination is significant, but less work had been done to understand contamination in surface waters. We now have over a year of data with most locations were sampled seasonally. Though FAFB and SIA are likely sources for some of the contamination, other, smaller sources exist. Surface waters are important to study as they form the boundaries of the West Plains and often function …

Technology And The Sustainable Implementation Of The African Continental Free Trade Area (Afcfta) Through Women’S Integration, Philip Ademola Olayoku

Journal of African Policy Studies

The desire for economic prosperity on the African continent led to the African Continental Free Trade Area (AfCFTA), in line with the vision of the Organisation of African Unity (OAU), when it proposed the creation of an African Economic Community (AEC) by 2028. However, sustainable economic development will remain a mirage without inclusivity where no one is left behind, in line with the African Union’s Agenda 2063. This study explores the challenge of restricting women to economic margins in trade agreements under the AfCFTA and how this would undermine its implementation. It subsequently contends that women are integral to Africa’s …

A Narrative Study Of How Secondary School Teachers Experience Generative Ai Writing Tools In The English Language Arts Classroom, Nick Brodell

Doctor of Education (EdD)

With the presence of artificial intelligence (AI) programs such as ChatGPT commonplace in secondary English language arts (ELA) classrooms, scholars and practitioners are both curious and skeptical about the technology’s ability to help students improve their ELA skills. Teachers have been using tutoring software and Web 2.0 technologies for decades, yet AI writing tools offer new functionalities. Teachers and administrators have experiences engaging with the benefits and burdens of the technology, and scholars of composition pedagogy, ITS (intelligent tutoring systems), and ML (machine learning) have theories about students using it for skills acquisition and practice. This study collected and analyzed …

Signal And Noise Analysis In An Undergraduate Instrumental Analysis Laboratory, Ken Overway

Chemistry Faculty Scholarship

Understanding the difference between signal and noise in a measurement is fundamental to analytical chemists. The typical instruments found in an undergraduate chemistry department can be used to teach this concept, as well as signal averaging, by giving students hands-on experience with measurements and data processing. This work presents an undergraduate laboratory module (homework and experiment) that provides specific instructions for using gas chromatographs, fluorometers, a nuclear magnetic resonance spectrometer, an atomic absorption spectrophotometer, and an infrared spectrometer to collect replicate measurements and a framework for calculating the noise level, baseline, signal level, signal-to-noise ratio (SNR), and the signal thresholds …

Cilia In The Brain Display Region-Dependent Oscillations Of Length And Orientation, Roudabeh Vakil Monfared, Sherif Abdelkarim, Pieter Derdeyn, Kiki Chen, Hanting Wu, Kenneth Leong, Tiffany Chang, Justine Lee, Sara Versales, Surya M. Nauli, Kevin Beier, Pierre Baldi, Amal Alachkar

Pharmacy Faculty Articles and Research

In this study, we conducted high-throughput spatiotemporal analysis of primary cilia length and orientation across 22 mouse brain regions. We developed automated image analysis algorithms, which enabled us to examine over 10 million individual cilia, generating the largest spatiotemporal atlas of cilia. We found that cilia length and orientation display substantial variations across different brain regions and exhibit fluctuations over a 24-h period, with region-specific peaks during light-dark phases. Our analysis revealed unique orientation patterns of cilia, suggesting that cilia orientation within the brain is not random but follows specific patterns. Using BioCycle, we identified rhythmic fluctuations in cilia length …

Ti-Ulpcs: Threshold-Issuance - Un-Linkable Policy Compliant Signatures, Kiran Deep Ghosh

Master’s Dissertations

Digital signatures, as a strong cryptographic primitive, ensure the authenticity and integrity of signed messages. On one hand, no one can forge a verifiable signature without knowing the secret key, on the other hand, any correctly formed signature is always verifiable under the public key of the signer. Besides signing digital data, they serve as foundational components in more advanced cryptographic systems, including blind signatures, group signatures, direct anonymous attestation, e-cash, e-voting protocols, adaptive oblivious transfer, anonymous credential schemes, Policy-Compliant Signatures, etc. Policy-Compliant Signatures (PCS) enable the enforcement of joint policies between the signer and the verifier. A signature of …

Zkipv: Zero-Knowledge Proofs For Image Provenance Verification, Bibek Ghosh

Master’s Dissertations

Recent advances in generative AI have significantly improved the ability to create photorealistic synthetic images, including so-called deepfakes, raising concerns about misinformation and the erosion of trust in digital media. Ensuring the integrity and authenticity of images, especially in sensitive domains like journalism, is thus increasingly critical. Existing solutions such as the C2PA (Content Provenance and Authenticity) framework provide origin verification through cameragenerated digital signatures, but fail to account for image modifications that invalidate these signatures. To address this limitation, we propose a zero-knowledge approach to verifiable image editing that preserves both integrity and privacy. This system, ZK-IPV, introduces a …

The Kentucky Microbiome Dataset, Rachel L. Washburn, Douglas C. Curl

Research Data--KGS

The Kentucky Microbiome Dataset is a continuously updated geolocated dataset which describes the distribution and diversity of microorganisms across the Commonwealth of Kentucky. Each geolocated point represents a location reported in the peer-reviewed literature where microorganisms were sampled from soil, water, geologic substrates, or clinical settings. Environmental studies include only non-host-associated, non-clinical microorganisms sampled from natural environments. Clinical studies are mapped separately to highlight locations where investigations into host-associated or human health-related microbes have occurred.

For each location, associated metadata include study information, taxonomic classifications, sample type, sampling method, latitude and longitude, sampling date, publication reference, and a direct link …

The Rise Of Foss In India: Empirical Evidence And Insights From Cross-Sectoral Case Studies, Arul George Scaria, Suryaprakash Mishra, Shubham Shinde, Rashi Singhal

Research Reports

The report analyses the adoption of FOSS in India, primarily through case studies across four sectors (healthcare, education, finance, and software and IT services) and different types of organisations (start-ups, non-profits, medium, large, and public sector organisations). The study highlights both the benefits and challenges experienced by organisations using FOSS. The study illustrates that while organisations benefit from increased innovations, cost/ time savings, flexibility, and enhanced security, they also face challenges such as lack of enough skilled personnel and limited community support. Organisations are also seen taking a cautious approach to licensing, favouring permissive licenses over restrictive ones. Based on …

Ideal Mathematical Pendulum: Examples Of Physics Problem Conditions Expressed Primarily Through Diagrams, Vasiliy Znamenskiy

Open Educational Resources

This article explores an innovative approach to physics education centered on the formulation of problems using visual diagrams with minimal textual description. Departing from traditional word-heavy methods, the proposed technique leverages schematic drawings as the primary mode of problem presentation. This visual-first strategy facilitates intuitive understanding, promotes spatial reasoning, and supports the development of abstract thinking in students. The method is especially effective in diverse classrooms where language barriers may hinder comprehension. By engaging learners through image-based tasks, the approach reduces cognitive load, fosters independent discovery of physical principles, and enhances overall conceptual clarity. Examples from mechanics and oscillations illustrate …

The Search For Magnetar Giant Flares In Archival Gamma-Ray Burst Data To Constrain Their Rates And Energetics, Aaron Trigg

LSU Doctoral Dissertations

Magnetar giant flares are rare, extremely bright bursts of gamma-rays from highly magnetized neutron stars. These events are difficult to identify because, at extragalactic distances, they can appear similar to other astrophysical phenomena. Only a handful have been confidently identified to date, limiting our understanding of their origin and physical properties. This dissertation focuses on expanding the sample of known events and enabling a more detailed characterization of their observational features. We report on two newly identified examples, GRB 180128A and GRB 231115A, that are consistent with a magnetar origin based on their spectral properties and association with nearby star-forming …

Investigation Of Subcellular Damage And Long-Term Non-Cancerous Cardiovascular Effects Following Whole-Body Photon Irradiation, Nousha Afshari

LSU Doctoral Dissertations

Current radiobiological models focus primarily on nuclear DNA damage and fail to fully explain radiation-induced noncancerous health effects. This dissertation investigates whether non-nuclear subcellular structures contribute to radiation-induced biological damage through experimental biomarker analysis and computational microdosimetry. The central hypothesis posits that whole-body photon irradiation results in subcellular non-nuclear damage, specifically increased circulating mitochondrial DNA concentrations, that correlates with radiation dose and long-term noncancerous effects such as cardiovascular disease.

Specific Aim 1 measured mitochondrial and nuclear DNA concentrations in banked blood samples from 72 Chinese rhesus macaques that previously received whole-body photon irradiation ($0-10$ Gy) from Cobalt-60 or LINAC sources. …

Gender Equality Training For Students In Higher Education: Scoping Review, Claire Condron, Mide Power, Midhun Mathew, Siobhan Lucey, Patrick Henn, Tanya Dean, Michelle Kirrane-Scott, Walter Eppich, Siobhan M. Lucey

Research Outputs: 2025-Present

No abstract provided.

Jewish Orthodox Women In Higher Education: A Case Study, Tamar Kimmel

Doctorate in Education

This qualitative case study explores the lived experiences of Orthodox Jewish women navigating higher education within the United States. Drawing on semi-structured interviews with 13 participants enrolled in undergraduate and graduate programs, this study investigates the intersectional challenges these women faced as students, mothers, and members of a visibly religious minority. This research examines barriers related to gender expectations, religious observance, and antisemitism on college campuses. Participants reported a complex interplay of community support, institutional challenges, and personal resilience in their pursuit of academic success. The analysis reveals a pressing need for higher education institutions to implement culturally responsive policies, …

Comparison Of Leveling A Deep Curve Of Spee With Extractions Versus Non-Extraction: A Biomechanical Perspective, Mitchell James Muller

Master's Theses (2009 -)

Introduction: This study evaluated and compared orthodontic forces from different archwire designs and materials used to correct a deep curve of Spee. Methods: A three-dimensional orthodontic force tester (OFT) was used to measure forces and moments exerted by archwires on brackets from central incisors to first molars. Two setups were tested: one with a full dentition from central incisor to first molar, and another simulating bicuspid extractions with the first premolar removed. Dentoform models representing a deep curve of Spee were created using cone-beam computed tomography (CBCT) data. The setup employed 0.022 × 0.028-inch zero-prescription brackets secured with elastomeric ligatures. …

Atom-Chip Compatible Optical Lattice, Robert Leonard, Spencer E. Olson

Space Dynamics Laboratory Publications

A lattice beam configuration which results in an isotropic 3D trap near the surface of an atom chip is described. The lattice is formed near the surface of a reflectively coated atom chip, where three incident beams and three reflected beams intersect. The coherent interference of these six beams form a phase-stable optical lattice which extends to the surface of the atom chip. The lattice is experimentally realized and the trap frequency is measured. Degenerate Raman sideband cooling is performed in the optical lattice, cooling 80 million atoms to 1.1 μK.

Determination Of Uncertainty In Peroxide Value Of Rapeseed Oil By Titration Method, Wang Ru, Chang Lijuan, Chen Yang, Zhang Mingjin

Food and Machinery

［Objective］ To improve the accuracy and reliability of the titration method for determining the peroxide value in rapeseed oil.［Methods］ The peroxide value in rapeseed oil is determined using the titration method,and a mathematical model is established to analyze the sources of uncertainty.The uncertainty components are evaluated,and the combined uncertainty is calculated.［Results］］ When the peroxide value in rapeseed oil is 0.043 g/100 g,the expanded uncertainty is ±0.001 06 g/100 g (k=2).［Conclusion］ The factors that mainly influence the uncertainty of the measurement results are the repeatability of sample measurement and titration volume.Other factors have a relatively smaller effect.Using high -precision Class A …

Detecting Misuse Of Security Apis: A Systematic Review, Zahra Mousavi, Chadni Islam, Muhammad Ali Babar, Alsharif Abuadbba, Kristen Moore

Research outputs 2022 to 2026

Security Application Programming Interfaces (APIs) are crucial for ensuring software security. However, their misuse introduces vulnerabilities, potentially leading to severe data breaches and substantial financial loss. Complex API design, inadequate documentation, and insufficient security training often lead to unintentional misuse by developers. The software security community has devised and evaluated several approaches to detecting security API misuse to help developers and organizations. This study rigorously reviews the literature on detecting misuse of security APIs to gain a comprehensive understanding of this critical domain. Our goal is to identify and analyze security API misuses, the detection approaches developed, and the evaluation …

Re: Approval Letter For The Response To Comment Letter And The Butte Priority Soils Operable Unit (Bpsou) Draft 2024 Butte Reclamation Evaluation System (Bres) Corrective Action Plans For Reclaimed Sites (Both Dated June 6, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Comment Letter For 2024 Annual Operations And Maintenance Report Butte Reclamation Evaluation System (Bres) Annual Summary Report For Work Completed In Quadrant 4 (Dated May 1, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Unreclaimed (Ur) Sites Ur-13 Site Evaluation Summary Report (Sesr) (November 1, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Of The Butte Priority Soils Operable Unit (Bpsou) Butte Reclamation Evaluation System (Bres) Revised Draft 2024 Field Evaluation Summary And Technical Recommendations Report (Dated June 4, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Impact Of Precursor Solvent Chemistry On Electrical Properties Of Indium Oxide Films For Thin-Film Transistors, Joshua Masri

Theses

Indium oxide In_2O_3 combines high carrier mobility with optical transparency, making it a promising candidate for next-generation thin-film electronics. However, its electrical performance is highly sensitive to fabrication parameters, particularly the chemistry of solution-based precursors, which can alter defect landscapes and carrier transport mechanisms. This work systematically examines how solvent choice influences the structural and electronic properties of solution-processed In_2O_3 thin films, isolating processing–property relationships that remain insufficiently understood. Films prepared from water and 2-methoxyethanol (2ME) precursors were characterized using temperature-dependent transmission line method (TLM) measurements from 30~K to 300~K. Water-processed films exhibited consistently lower sheet resistance, a reduced activation …

Occurrence Of Pesticides In Oregon Coastal Waters And Effects On The Intertidal Sea Anemone, Anthopleura Elegantissima, Gabriella Mae Bleil

Dissertations and Theses

Pesticides are used globally for a wide range of applications including agricultural, forestry, roadsides, freshwater systems, and personal use. While pesticides have ensured efficient crop production, they are frequently transported away from application sites and are ubiquitous in terrestrial and aquatic environments. Pesticides are often detected in watersheds and rivers globally, which can have unintentional toxic effects on non-target organisms by interfering with cellular processes, behavior, feeding, reproduction, and disrupting endocrine processes. The aggregating anemone, Anthopleura elegantissima, is an important species along the North American Pacific coast due to its symbiotic relationships that contribute to high productivity, and its …

Modern Procedural Terrain Generation Techniques And Their Background, Hunter A. Barton

2025 Symposium

Procedural terrain generation has become a staple in many digital environments, enabling the automated creation of large-scale and realistic landscapes for applications such as video games and movies. This paper provides an in-depth look at smooth noise functions and their use for terrain generation, as well as an overview of some more modern methods of generation. A method utilizing machine learning stlye transfer was reproduced for this paper with some alterations to improve visualization and realism.

Crossword: Translations And Transactions, Josh Grauer

Tax Adviser

No abstract provided.

Can We Discover Physical Models Using Machine Learning? A Case Study Of Galaxy Sizes, Festa Buçinca-Çupallari, Ariyeh Maller, Viviana Acquaviva, Austen Gabrielpillai, Rachel S. Somerville

Publications and Research

We explore the ability of machine learning methods to discover underlying equations of physics by searching for the equations governing galaxy size in a semianalytic model. This case study allows us to evaluate the process as we know the ground truth. We find that we fail to find an equation to predict galaxy size on the entire data set, but are successful when we separate out disk galaxies where we expect the physics driving galaxy size to be different than in bulge-dominated systems. We are also able to find an equation for bulge size, but not without adding an additional …

Discrete Time Series Forecasting In Non-Invasive Monitoring Of Managed Honey Bee Colonies: Part Ii: Are Hive Weight And In-Hive Temperature Seasonal And Colony-Specific, Vladimir A. Kulyukin, Aleksey V. Kulyukin, William G. Meikle

Computer Science Faculty and Staff Publications

We explored the stationarity, trend, and seasonality of the hive weight and in-hive temperature of ten managed honey bee (Apis mellifera) colonies at a research apiary of the Carl Hayden Bee Research Center in Tucson, Arizona, USA. The hives were monitored with electronic scales and in-hive temperature sensors from June to October 2022. The weight and temperature were recorded every five minutes around the clock. The collected data were curated into 2160 timestamped weight and 2160 timestamped temperature observations. We performed a systematic autoregressive integrated moving average (ARIMA) time series analysis to answer three fundamental questions: (a) Does …

A Participatory Approach To Deploy Responsible Artificial Intelligence For Diabetes Prediction And Prevention, Laura C. Rosella, James Shaw, Shion Guha, Ibukun-Oluwa Omolade Abejirinde, Jennifer L. Gibson, Lorraine Lipscombe, Kathy Kornas, Remziye Zaim, Victoria Chui, Ijeoma Uchenna Itanyi

Health Services and Informatics Research

Artificial intelligence (AI) technologies have the potential to improve healthcare and public health. Although there has been success in AI for research uses, little progress has been made in implementing health-related AI technologies in health systems. Responsible AI for health systems requires engagement and co-design with health system partners, policymakers, and the community. Deploying responsible AI requires engaging stakeholders, particularly those affected by the technology. This commentary presents the importance of participatory approaches for responsible AI implementation. In this commentary, we discuss the planned use of participatory approaches to responsibly deploying validated machine learning models, with a specific case example …