Digital Commons Network^™

Session 1: Guidance From International Regulation Sources, Charlotte Tschider, Marie-Charlotte Roques-Bonnet

SITIE Symposiums

In Session One of the SITIE 2025 Symposium titled “Regulating Artificial Intelligence: From Where and When?”, Professor Mark Chinen moderated a panel featuring Professor Charlotte Tschider and Dr. Marie-Charlotte Roques-Bonnet. The discussion focused on international AI regulation, privacy, data governance, and the EU’s regulatory approach to AI oversight.

8th Annual Innovation And Technology Law Conference: Regulating Artificial Intelligence: From Where And When?, Steven Bender

SITIE Symposiums

Since 2018, the Seattle University School of Law has presented an annual late spring/summer conference on innovation and technology, shifting to a virtual conference in 2020. The virtual format fosters inclusion of national and even international speakers (as this year with Marie-Charlotte Roques-Bonnet, Data Protection/AI Consultant & Research Lead, ID side.eu, joining from France), and participation from a broad base audience, which this year included over 200 registrants who joined live or watched the recording.

Leveraging Usage Of Ai In Education: Knowledge, Attitude And Behavioral Analysis On Students, Bipllab Roy, Purnendu Bikash Acharjee, Rohit Kumar Sharma, Ruptaheen Kramsapi, Shruti P

Northeast Journal of Complex Systems (NEJCS)

The paper explores the possible advantages and drawbacks of artificial intelligence (AI) on sustainability, with an emphasis on using AI to positively achieve SDGs. The study finds a significant vacuum in the literature on the association between knowledge, attitudes, and behaviors towards the use of AI tools and techniques in education and demographic characteristics (sex, age, education level, area of study, and city of origin). The purpose of this research is to close this knowledge gap and advance our understanding of how these demographic factors affect the integration of AI in educational environments. The study specifically aims to comprehend how …

Continuous Monitoring Of Dynamic Levels Of Sepsis-Associated Biomarkers In Blood For Early Diagnosis, Aidan Burke, Jake Chansky, Anders Kouhia, Brian Mostofi

Bioengineering Senior Theses

Sepsis is a general diagnosis related to a dysregulated immune response to a source of infection that, if left untreated, will most likely result in organ failure and eventual death. Sepsis affects 49 million people annually, and is responsible for 11 million annual deaths, according to Jarczak 1. A recent study has shown that over 80% of sepsis deaths may be preventable with earlier diagnosis and treatment, and that the risk of mortality increases by 8% for every hour that sepsis goes untreated 5. Thus, our team identified that the timeliness of sepsis diagnosis is a paramount healthcare need.

We …

Quantum Machine Learning For Battery Health And Thermal Risk Prediction, Alexander Mutiso Mutua, Ruairí De Fréin

SAML-25 Workshop on Statistical and Machine Learning

The rapid growth of connected Electric Vehicles (EV) as part of modern Intelligent Transport Systems (ITS) motivates the need for real-time management of Lithium-ion (Li-ion) battery health and thermal risks. Li-ion batteries, although widely used, are prone to degradation and thermal runaway, posing significant challenges for safe and efficient EV operation. We present a Quantum Machine Learning (QML) and Agent-Based Model (ABM) that simulates and predicts EV behaviour under various battery degradation con- ditions. We use a Variational Quantum Neural Network (VQNN) trained on NASA battery datasets to classify EVs into four cate- gories: healthy, degraded for fixed chargers, degraded …

The Engineering Mindset: Blueprint For Change, Vol. 1: Institutional Guidelines For Implementing Change In Undergraduate Engineering And Engineering Technology Education, Rebecca Bates, Ron Ulseth

Integrated Engineering Department Publications

Volume 1 of the Blueprint Report presents a comprehensive framework for transforming undergraduate engineering and engineering technology education in the United States. It builds on the 2024 Engineering Mindset Report and provides institutional-level strategies to implement its recommendations. The goal is to create a student-centered curriculum, increase access and success for underserved students, and create a future-ready engineering education system that broadens access and aligns with societal and technological needs.

Preliminary Evidence For Lensing-Induced Alignments Of High-Redshift Galaxies In Jwst-Ceers, Viraj Pandya, Abraham Loeb, Elizabeth J. Mcgrath, Guillermo Barro, Steven L. Finkelstein, Henry C. Ferguson, Norman A. Grogin, Jeyhan S. Kartaltepe, Anton M. Koekemoer, Casey Papovich, Nor Pirzkal, L.Y. Aaron Yung

Pacific Faculty Work

The majority of low-mass ( log 10 M * / M ⊙ = 9 - 10 ) galaxies at high redshift (z > 1) appear elongated in projection. We use JWST-CEERS observations to explore the role of gravitational lensing in this puzzle. The typical galaxy-galaxy lensing shear γ ∼ 1% is too low to explain the predominance of elongated early galaxies with an ellipticity e ≈ 0.6. However, nonparametric quantile regression with Bayesian Additive Regression Trees (or BART) reveals hints of an excess of tangentially aligned source-lens pairs with γ > 10%. On larger scales, we also find evidence for weak-lensing shear. …

Simulating And Designing Pyro Fx To Communicate A Hostile And Magical Environment, Rebekah L. Tran

Undergraduate Honors Theses

This thesis aims to document the fire FX work completed on this year’s senior capstone film, Love & Gold, for the BYU Center of Animation. The story of the film is brought to life with many different types of effects including snow, sparks, lava, rock shattering, magic, hair, cloth, and the topic of this thesis, fire. The film has three main fire simulation needs: torches, braziers, and fire traps. The FX team on the film created these with Pyro simulations. Pyro simulations are a common type of simulation supported by Houdini FX, the software program that BYU Animation primarily uses …

2025 Nsu Graduate Commencement Program, Nova Southeastern University

NSU Commencement Programs

• College of Psychology
• H. Wayne Huizenga College of Business and Entrepreneurship
• Abraham S. Fischler College of Education and School of Criminal Justice
• College of Computing and Engineering
• Halmos College of Arts and Sciences and the Guy Harvey Oceanographic Research Center

Tellings Of The Pacific Ocean: A Landscape-Based Approach For Multispecies Design And Hci, Maliheh Ghajargar

Engineering Faculty Articles and Research

Environmental disturbances induced by climate change have caused significant changes in our ecosystems and are threatening the health of our environments. As a response to this issue, a growing body of work has emerged in HCI and design, which seeks to foreground more-than-human stories in support of making more sustainable and just futures. This research contributes to this broad agenda by probing graphic novels as a multispecies storytelling method for design and HCI. Combining ideas from Anna Tsing’s adventures of landscape and from HCI and design’s use of sequential art (e.g., storyboards), we use landscape as the main protagonist of …

Does Schooling Improve Cognitive Abilities At Older Ages? Causal Evidence From Nonparametric Bounds, Vikesh Amin, Jere R. Behrman, Jason M. Fletcher, Carlos A. Flores, Alfonso Flores-Lagunes, Hans-Peter Kohler

Upjohn Institute Working Papers

We revisit much-investigated relationships between schooling and health, focusing on schooling impacts on cognitive abilities at older ages using the Harmonized Cognition Assessment Protocol in the Health & Retirement Study (HRS) and a bounding approach that requires relatively weak assumptions. Our estimated upper bounds on the population average effects indicate potentially large causal effects of increasing schooling from primary to secondary; yet, these upper bounds are smaller than many estimates from the literature on causal schooling impacts on cognition using compulsory-schooling laws. We also cannot rule out small and null effects at this margin. We do, however, find evidence for …

Lighting Up The Cell: Developing A Luminescent Lanthanide Probe For Detecting Rnas, Jonathan Savell

Honors Projects

An anion detecting luminescent probe, Tb:DO2A-Cs124, was repurposed for use in RNA imaging. Potential RNA aptamers were identified for the molecule using Capture-SELEX and MinION sequencing. Fluorimetry data revealed these aptamers did not allow for the probe to luminesce in the presence of target RNAs due to adenosine monophosphate’s ability to quench the emission signal.

Secure Your Hardware With Randomization And Redundancy, Dennis Cao, Joseph Khamisy, Sumeet Upadhya

Computer Science and Engineering Senior Theses

Differential Fault Analysis (DFA) is a potent hardware attack that threatens cryptographic security by injecting faults into a cipher implementation to reveal secret keys. This project aims to mitigate DFA attacks on the Advanced Encryption Standard (AES) by implementing targeted countermeasures in an embedded AES-128 encryption core. Two key techniques are explored: Randomization and Triple Modular Redundancy (TMR). The randomization approach introduces unpredictability into the encryption process, which involves inserting dummy rounds, artificial noise, and random delays, to disrupt an attacker’s timing and analysis, while TMR provides redundancy by replicating critical rounds of computation and using majority voting to correct …

Bloom Pattern Data, Zhongyuan Wang, Robert J. Lang, Larry L. Howell

ScholarsArchive Data

This data is the supplementary material of the paper "Bloom Patterns: Radially Expansive, Developable, and Flat-Foldable Origami" by Zhongyuan (Kelvin) Wang , Robert J. Lang, and Larry L. Howell.

We present bloom patterns as a family of radially expansive, flat-foldable, and developable origami patterns, many of which are rotationally symmetric. Bloom patterns are defined with a generalized definition and a standardized definition. A classification scheme for bloom patterns is identified, and several types of bloom patterns are analysed. The distinct helical nature that characterizes bloom patterns is described, and a set of compatibility conditions is derived to help determine if …

Refinement And Application Of The Absorption Cross-Section Of Molecular Bromine With Relevance To Atmospheric Chemistry, Callum Flowerday, Ryan Thalman, Jaron C. Hansen, Eric T. Sevy, Jason J. Sorensen, Matthew C. Asplund

ScholarsArchive Data

Defined Br2 XS - is the defined absorption cross-section using the UVvis spectrophotometer.

BBCEAS - This is raw absorption data measured using the BBCEAS (see article for details).

UVvis raw - This is the raw absorption data measured using the UVvis spectrophotometer.

Colonization-Persistence Trade-Offs In The Human Microbiome, Liam F. Nokes

Environmental Studies Senior Theses

Understanding how diverse microbial taxa coexist in the human body without competitively excluding one another remains a key challenge in microbiome ecology. One proposed explanation is the colonization-persistence trade-off, where species with high colonization ability are poor persisters, and vice versa. We test for this trade-off across human associated microbial communities among many individuals and in multiple body sites using a large-scale participant-level meta-analysis of longitudinal microbiome datasets curated from the MGnify database. We applied island biogeography-based models to calculate effective colonization and persistence rates for microbial families and genera across 606 individuals over twenty-six studies. Regression of the log-transformed …

Reflections On Co-Ordinating Peer-Assisted Learning In A University Mathematics Department, Subhrajyoti Saha

Irish Journal of Academic Practice

This reflective paper explores the experience of the author while co-ordinating a relaunch of Peer-Assisted Learning (PAL) within the Department of Mathematical Sciences at a UK university. PAL involves senior students supporting first-year students through regular collaborative learning sessions, fostering both academic engagement and peer mentoring. The paper discusses the practical challenges encountered during implementation, such as student participation, scheduling, and training of PAL leaders, alongside the strategies that proved effective. Drawing on these experiences, the author will suggest potential improvements to enhance the impact of PAL in future iterations. The insights shared may be of value to other academics …

Causal Effects Of Schooling On Memory At Older Ages In Six Low-And-Middle-Income Countries: Nonparametric Evidence With Harmonized Datasets, Vikesh Amin, Jere R. Behrman, Jason M. Fletcher, Carlos A. Flores, Alfonso Flores-Lagunes, Iliana Kohler, Hans-Peter Kohler, Shana D. Stites

Upjohn Institute Working Papers

Higher schooling attainment is associated with better cognitive function at older ages, but it remains unclear whether the relationship is causal. We estimate causal effects of schooling on performances on the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) word-recall (memory) test at older ages in China, Ghana, India, Mexico, Russia, and South Africa. We used harmonized data (n=30,896) on older adults (≥50 years) from the World Health Organization Study on Global Ageing and Adult Health. We applied an established nonparametric partialidentification approach that bounds causal effects of increasing schooling attainment at different parts of the schooling distributions under …

Characterizing Power Profiles Of A Concentric Ring Multifocal Contact Lens For Myopia Management: A Novel Approach, Annabelle Mawhinney, Phillip Buckhurst, Craig Mcneile, Stephen Hall, Hetal Buckhurst

School of Health Professions

This study presents a systematic method for characterizing power profiles of concentric ring multifocal contact lenses (MFCL), specifically the MiSight® lens used in myopia management, and evaluates the potential of Multivariate Adaptive Regression Spline (MARS) modelling to extrapolate profiles across a full dioptric range.Power profiles of eleven MiSight® lenses (−0.25D, then −1.00D to −10.00D in 1.00D steps) were measured using the NIMOevo® system. MiSight® lenses comprise four concentric zones, with zones 2 and 4 providing additional plus power. Centre thickness (CT) was measured using an immersive spectral-domain Optical Coherence Tomographer. Zonal boundaries were determined as asymptotes of a four-parameter sigmoidal …

Untying The Knot: All Of Us Strangers And The Transgressive Encounter, Luka Romney

Undergraduate Honors Theses

Trauma is a perennial human problem that has only recently received sustained attention from the academic community. Within the interdisciplinary field of memory studies, there has been a significant push to not only identify and theorize trauma but also map out and propose ways to move through and beyond the constraints of trauma. This article will use Andrew Haigh’s 2023 film All of Us Strangers to theorize an experience that forms a redemptive foil to trauma that I term encounter. These redemptive encounters are sticky and unwieldy, and they require a variety of critical frames to draw out their ultimate …

Peer-Assisted Learning Strategies: An Agentic Instructional Approach To Mathematical Self-Efficacy And Achievement In Special Education Settings At High-Poverty Schools, Erin Lm Roman

Education Dissertations

In many high-poverty schools, students with disabilities continue to face significant barriers and challenges when compared to their typically developing peers. A lack of tangible or positive experiences often leads to low self-efficacy and hindered achievement. This study explored Peer-Assisted Learning Strategies (PALS) as an instructional approach rooted in student agency. A convergent mixed-methods quasi-experimental design investigated how agentic PALS impacted mathematical self-efficacy and achievement. PALS leveraged neuroscience principles to support agency through skill-aligned peer pairings as dyads that eliminated power differentials. Four structured activities reinforced the model-and-memory sequence, enhancing both conceptual understanding at the neurobiological level and visible …

Final 2025 Residential Metals Abatement Program (Rmap) Rock Creek Cattle Company Borrow Submittal #1, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Beyond The Meadow: Exploring The Violence And Dynamics Of Power In Watership Down Through Critical Animal Studies And Cinematographic Lens, Marwa Hussein Abdelfattah

Arts and Design

This paper aims to analyze the 2018 Netflix miniseries adaptation of Richard Adams's classic novel, Watership Down, using Critical Animal Studies and a Cinematographic lens. The analysis focuses on its visual storytelling through the camera angles, lighting, and character representation. Adams’ novel was adapted three times. The first two animated versions were horrifying to the extent that one of them was banned. The most recent version used Computer-Generated Imagery (CGI) technology to be more friendly. The CGI version toned down explicit brutality while maintaining the novel's darker themes. Unlike the two previous versions, the CGI focused on inferred violence and …

From Lockdown To Learning: Understanding Motivation Shifts In High School Students Due To The Covid-19 Pandemic, Kelly Lindberg

University Honors Theses

The COVID-19 pandemic induced profound disruptions to the educational landscape, significantly impacting high school students' motivation to learn. This thesis explores how these disruptions affected students' intrinsic and extrinsic motivations through the lenses of three motivational theories: Self-Determination Theory, Maslow’s Hierarchy of Needs, and Expectancy-Value Theory. By examining changes in the learning environment, social connections, and mental health before, during, and after the pandemic, this study identifies key factors that shaped changes in students' academic engagement. The shift to online learning during the pandemic, combined with social isolation and increased mental health challenges, diminished students' intrinsic motivation and weakened their …

Forecasting Influenza Rates Using Machine Learning: A Study Of Chatgpt's Predictive Accuracy, Sara Saleh

University Honors Theses

This study evaluates ChatGPT's ability to forecast influenza rates, such as the number of flu cases, hospitalizations, and death during peak season periods using CDC data, and comparing forecasts against actual results to calculate statistical accuracy and consistency. Influenza forecasting is essential for public health planning, but traditional methods may not always provide timely or accurate predictions. In this research study, ChatGPT was utilized to predict the influenza rates for the following week based on the previous week's data obtained from the FluView surveillance system. The predicted rates were compared to the actual influenza rates to assess the model's overall …

Development And Photophysical Characterization Of Bioinspired Materials, Qaisar Maqbool

USF Tampa Graduate Theses and Dissertations

Porphyrins are versatile aromatic macrocycles with unique photophysical properties that make them attractive for applications in light harvesting, photocatalysis, and sustainable energy conversion. Incorporating porphyrins into metal-organic frameworks (MOFs) offers a unique opportunity to modulate their photophysical behavior through spatial confinement and host–guest interactions. This thesis explores how structural modifications influence porphyrin excited-state behavior through a multi-stage investigation. The work begins by comparing the photophysical properties of two cationic porphyrins: tetra(N-methylpyridyl) porphyrin(TMPyP) and tetra(4-N,N,N-trimethylanilinium) porphyrin(4TANP). While TMPyP exhibits significant singlet–charge transfer (S₁–CT) state mixing due to charge delocalization onto peripheral pyridinium groups, 4TANP lacks comparable behavior. The localized nature of …

Teaching Diffuse, Specular, And Total Internal Reflection Via A Halo Effect, Paul R. Destefano, Ralf Widenhorn

Physics Faculty Publications and Presentations

Interesting and pedagogically useful physics can be found in the halo produced by a laser pointer directed into a shallow body of water. We describe a simple model for this phenomenon using geometric optics and support this model with empirical evidence. We also discuss and verify extensions to this model that explain variations in the visual pattern. These variants include a double halo pattern and a disk of dim light that can be produced with minor modifications of the single halo configuration. Although the level of complexity differs, all of these models rely on the same ray optics, specifically refraction …

Mathematical Modeling Contest: Predicting Olympic Game Medals​, Alex S. Oathout, Conner B. Dooley, Lucas R. Pinard

Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement

The Olympic Games constitute an international remembrance of sports excellence and peace in which winning medals constitutes a matter of great personal and national significance to athletes and nations. A forecasting of future medal outcomes has developed into a large application of sports analytics, but one with an elusive challenge inherent in varying performer performance, variable event rosters, and external factors like coach and home-based support. We were tasked with developing a model that could predict the top seven countries medal totals for the 2028 Summer Olympics in Los Angeles. While there are limitations to each model, collectively they represent …

Computationally Modeling Insect Swarms, Lucas Pinard

Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement

Swarms of insects and similar species show signs of collective or emergent behaviors. We can analyze these behaviors thoroughly by looking at how the simulated properties are related to different formations of insect swarms. This work focuses on a newly developed computational model. Through incorporating random, but limited, perturbations in velocity direction, we can achieve a combination of stochastic and deterministic outputs. In addition to this new model, we look at the behaviors shown in older models including, but not limited to polarization, diffusion, rotational inertia, distribution of insects, etc. Furthermore, we examine how the use of random number generators …

Control Strategies In Wind Energy Systems: A Comprehensive Overview, Abeer Awad, Mohamed Al Hasheem

Future Engineering Journal

This paper reviews different control methods used in wind energy systems to improve how they work and connect to the power grid. It covers simple control methods like Proportional-Integral (PI) controllers, as well as more advanced ones like Sliding Mode Control and intelligent controls such as fuzzy logic and neural networks. The strengths and weaknesses of each method are discussed, focusing on how well they handle changes in wind and load, keep power quality high, and stay stable. Challenges like system complexity and unpredictable wind are also explained. The paper ends by suggesting that future work should focus on combining …