Digital Commons Network^™

Signal-Based Error Handling: Case Study Using The Bathymetric Attributed Grid Library, Anthony R. Papetti

Honors Theses and Capstones

No abstract provided.

Analyzing Seasonal Wind Trends And Climate Change Impacts Along The East Coast Of The United States (1990-2022), Avery L. Wilson

Honors Theses and Capstones

This study investigates long-term trends in ocean wind intensity and variability along the U.S. East Coast between 1990 and 2022 using ECMWF ERA5 reanalysis data. Focusing on monthly maximum, mean, and standard deviation (STD) of wind speed at 10 meters above the surface, linear regressions were performed to analyze long-term trends. Results indicate a significant increase in wind intensity and variability in the northeastern region, particularly during winter months, which may forecast more frequent and intense cyclonic activity such as Nor’easters. Conversely, a weak decreasing trend was observed in the south. These shifts have implications for ocean-atmosphere dynamics, including vertical …

Reasoning Through Change: Exploring Covariational Thinking In Student Exponential Graph Interpretation, Samantha Lynn Pearson

Honors Theses and Capstones

This study explores how life science students reason about exponential functions in the context of an introductory physics course. While exponential functions are essential in both physics and biology—appearing in scenarios like population growth and temperature cooling—students often encounter challenges in interpreting them. Using a resources framework, we examined the cognitive resources these students bring to exponential reasoning, focusing on what ideas and strategies they already possess. Our methodology involved conducting think-aloud interviews with nine students from PHYS 402. Interviews were coded using a framework informed by prior research on covariational reasoning and exponential understanding. Results show that students generally …

Frozen Commons: Food Security And Food Sovereignty In Rural Alaskan Communities And Tribes, Catey Selby, Weiwei Mo

Honors Theses and Capstones

This project explored the challenges, needs, and potential solutions related to food security and food sovereignty in rural Alaskan communities. These communities have long relied on traditional subsistence practices like fishing, hunting, and foraging, but those practices have been increasingly affected by climate change, regulatory restrictions, and commercial overfishing. Key issues identified included shorter hunting seasons, changes in animal migration, unsafe ice conditions, habitat loss, complex land ownership, and permitting barriers. Large-scale commercial fisheries also put additional pressure on subsistence resources, reducing access to traditional food sources.

The project focused on identifying key stakeholders—such as government agencies, tribal organizations, and …

Floating Offshore Structures: A Literature Review Of Current Technologies, Dynamic Behavior, And Energy Applications Post-2021, Stephen Michael Nolin

Honors Theses and Capstones

No abstract provided.

Optimization Of Small-Scale Bioreactors For Increased Pdna Production And Yield, Laura M. Hills

Honors Theses and Capstones

No abstract provided.

Synthesis Of Bio-Orthogonal Hydrogels For 3d Cell Culture Via Penicillamine Β-Thiolactone-Mediated Native Chemical Ligation, Kaelin E. Marshall, Matthew E. Currier, Nathan J. Oldenhuis

Honors Theses and Capstones

Many hydrogel systems designed to mimic the extracellular matrix (ECM) employ thiol-based chemistries with undesirable functional groups, including vinyl sulfones and methacrylates. In downstream applications, any unreacted functional groups are problematic and render hydrogels non-viable for human use. Here, we introduce modifications to the Native Chemical Ligation (NCL) mechanism, exploring the elimination of cytotoxic byproducts and increased reaction rate by using a β-thiolactone. The inclusion of the β-thiolactone results in retention of the thiol within the gel, as well as enhanced kinetics due to the thermodynamic favorability of the ring opening and amide formation. We achieved this by functionalizing 4-arm …

Human-Ai Interaction In Driving Behavior Analysis: Machine Learning And Pattern Mining For The Unobtrusive Cognitive Assessment, Sonia Moshfeghi

Electronic Theses and Dissertations 2020 - Present

Creating unobtrusive, intelligent sensing systems that can be embedded into daily life and assess changes in the physical and cognitive functions of people has garnered significant attention. This dissertation presents a data-driven pattern recognition framework that integrates human-AI interaction and machine learning to analyze and quantify cognitive decline in older drivers based on the data stream of their driving data. This study harnesses real in-vehicle sensing data collected from +65 older drivers. Various AI-enabled data analytics modeling techniques are developed and tested to understand the driving patterns of older drivers, the relations between driving data and their cognitive functions, and …

Exploring The Use Of Commercial Wrist-Worn Wearables For Assessing Cardiovascular And Functional Outcomes, Safia Zoi Gecaj

Electronic Theses and Dissertations 2020 - Present

Introduction: Several new wrist-worn devices estimate VO2 max; however, their validity has not been fully tested. Therefore, the purpose of this study was to determine the validity of three wrist-worn devices (Polar Ignite 3, Garmin VivoActive 5, Garmin VivoSmart 5) for estimating VO2 max. Methods: Twenty-nine participants (21.9±2.1 years) participated.VO2 max was estimated using the three devices’ protocols. COSMED Quark CPET was used to measure VO2 max. Pearson Product-moment Correlations and paired t-tests compared device-estimated values to actual measurements. Agreement between device-estimates and measured values were determined using Bland Altman plots, mean absolute percentage error, and Intraclass Coefficients. Significance …

Evaluation Of The Corrosion Of Metallic Fastener Joints In Composite Materials Immersed In Seawater, Chloe Derrico

Electronic Theses and Dissertations 2020 - Present

The corrosion behavior of metallic fasteners in contact with composite materials in marine environments remains a critical concern for structural integrity and long-term performance. This study evaluates the corrosion of marine fasteners of various materials in contact with glass fiber, carbon fiber, hybrid glass-carbon fiber, and G10/FR-4 Garolite composite plates. The research focuses on localized corrosion mechanisms, include crevice and pitting corrosion, as well as the influence of composite interactions. Samples were exposed to three environmental conditions: full immersion tanks, tidal tanks simulating the high and low tides, and deployment on a barge on Florida’s intracoastal waterway, with antifouling paint …

Proposing A Selective Sub-Tool To Activate The Role Of Parks In Achieving The Resilience Of Egyptian Cities, Mohamed E. Elattar

Architectural Engineering

No abstract provided.

Law-Following Ai: Designing Ai Agents To Obey Human Laws, Cullen O'Keefe, Ketan Ramakrishnan, Janna Tay, Christoph Winter

Fordham Law Review

Artificial intelligence (AI) companies are working to develop a new type of actor: “AI agents,” which we define as AI systems that can perform computer-based tasks as competently as human experts. Expert-level AI agents will likely create enormous economic value but also pose significant risks. Humans use computers to commit crimes, torts, and other violations of the law. As AI agents progress, therefore, they will be increasingly capable of performing actions that would be illegal if performed by humans. Such lawless AI agents could pose a severe risk to human life, liberty, and the rule of law.

Designing public policy …

Penggunaan Unconventional Weapons Dalam Konflik Bersenjata Modern, Fadhillah Wahid Pramudya Aldiansyach

Jurnal Hukum & Pembangunan

The use of unconventional weapons such as cluster munitions, white phosphorus, nuclear weapons, artificial intelligence-based autonomous systems (AI/LAWS), and military neurotechnology is increasingly dominating modern armed conflicts. The characteristics of these weapons, particularly their widespread effects, uncertainty of control, and potential for automatic escalation, can pose serious challenges to the application of the principles of distinction and proportionality in International Humanitarian Law (IHL), especially when used in densely populated areas. The modernization of nuclear systems, the accelerated integration of AI into military command, and the emergence of neurotechnology indicate a regulatory gap that could potentially undermine humanitarian protection. This study …

Shifting Attention: Assessing Antennular ‘Gaze’ In The Hermit Crab Pagurus Bernhardus, Ari Drummond, John Spicer, Lucy Turner, Alexander Wilson, Mark Briffa

School of Biological and Marine Sciences

Attention (focused information gathering) is crucial for many cognitive processes. Traditionally dichotomised as reflexive or voluntary, behavioural research often relies on vision for assessments of attention. However, invertebrate information acquisition often utilises chemosensation or mechanosensation, potentially limiting the efficacy of a vision-based approach. We examined attention in Pagurus bernhardus hermit crabs, using antennules (the crustacean first antennae) as indicators of attentional shifts. Considering a change in flicking direction as analogous to a shift in gaze, we examined if hermit crabs show evidence of reflexive or voluntary attention. We exposed crabs to a chemosensory stimulus while manipulating factors influencing vulnerability (i.e., …

Is Sparse Local Ecological Knowledge Accurate Enough For Policy? A Seagrass Mapping Case Study From Five Greek Islands In The Eastern Aegean Sea, Konstantis Alexopoulos, Tim J. Grandjean, Anastasia Miliou, Theodoros Tsimpidis, Abigail Mcquatters-Gollop

School of Biological and Marine Sciences

The low cost, high applicability and community-based nature of Local Ecological Knowledge (LEK) data for mapping marine benthic habitats has become increasingly popular in recent years. Nonetheless, due to persisting technocratic distrust of LEK often stemming from the unquantifiable nature of bias, the embedding of empirical data at policy levels often lags. Currently, protocols rely on high participation from stakeholders, however, such quotas are often unfeasible, with common limiting factors being the low numbers of knowledgeable individuals in remote parts of the world, and the lack of community trust in the conservation mechanism. In this study, we test whether data …

Climate Adaptation For A Natural Atoll Island In The Maldives - Predicting The Long-Term Morphological Response Of Coral Islands To Sea Level Rise And The Effect Of Hazard Mitigation Strategies, F. E. Roelvink, G. Masselink, C. Stokes, R. T. Mccall

School of Biological and Marine Sciences

Coral atoll islands, common in (sub)tropical oceans, consist of low-lying accumulations of carbonate sediment produced by fringing coral reef systems and are of great socio-economic and ecological importance. Previous studies have predicted that many atoll islands will become uninhabitable before the end of this century due to sea level rise exacerbating wave-driven flooding. However, the assumption that such islands are morphologically static has been challenged by observations and modeling that show the potential for overwashing and sediment deposition to maintain island freeboard. Reliable long-term predictions of island change and future flood risk, essential for adaptation planning, are, however, lacking. Here, …

Numerical Modelling Of Gravel Transportation By A Tsunami With The Extended Xbeach-G, Masashi Watanabe, Gerd Masselink, Daisuke Ishimura, Masaki Yamada, Adam D. Switzer

School of Biological and Marine Sciences

Estimating coastal erosion by a tsunami is essential for land use planning, assessing hazards for current structures (e.g., coastal nuclear power plants), and for paleotsunami reconstruction. Such estimations are currently available only for sandy beaches, using sand sediment transport models, which are not applicable to gravel beaches, which are the most common beach type in high-latitude settings. This study extended the one-dimensional cross-shore XBeach-G model to account for two-dimensional gravel transport by a tsunami. First, this study confirmed that the extended XBeach-G model can simulate a time series of waveforms of solitary waves during laboratory experiments. The proposed model was …

The Use Of An In Chemico Digestibility Assay To Reduce The In Vivo Fish Bioaccumulation Testing Of Nanomaterials, Craig Mchardy, Nathaniel J. Clark, Robert Clough, Richard D. Handy

School of Biological and Marine Sciences

Currently for engineered nanomaterials (ENMs), there are no alternatives to bioaccumulation testing in fish as prescribed by OECD TG 305. New approaches are being sought, in order to reduce the numbers of animals used and address the ethical concerns associated with the use of vertebrates in such testing. This study aimed to demonstrate the value of an alternative method — the in chemico digestibility assay — as a tool to assess the bioaccumulation potential of ENMs. Titanium dioxide ENMs, or their equivalent bulk form, were incorporated onto a commercial fish diet and the fish digestion process was simulated in vitro …

Community, Culture, And Capacity: Transformative Governance In The Gold Coast World Surfing Reserve, Kizzy Beaumont, Andrew Mckinnon, Scott Gillies

School of Art, Design and Architecture

Executive summary This report presents findings from interviews and a focus group held in September 2024 with stakeholders involved in the Gold Coast World Surfing Reserve (WSR). Participants shared perspectives on the evolution of the WSR, its governance structures, and its role in balancing surf culture, community needs, and environmental sustainability on one of Australia’s most urbanised coastlines.Participants praised the WSR Stewardship Committee, Council leadership, and strong data partnerships with universities. However, concerns were raised about increasing surf congestion, tourism pressure, development impacts, and the lack of formal legal protections for surf zones. The region’s surf culture was described as …

The Necessity Of Electric School Bus: A Comparative Study Of Myanmar And Vietnam, Yang Ho Lee, Saeyeon Roh, Jin Woong Yoo

Plymouth Business School

Purpose: This research aims to ascertain key factors which influence the necessity of South Korean electric school buses in Myanmar and Vietnam. The interest in business sustainability and the demand for electric or safe school buses are increasing in Myanmar and Vietnam. Design/methodology/approach: As quantitative research, this study relies on a non-probability sampling method to collect data sets from experts in both countries. As this research covers three steps, including 1) literature reviews, 2) preliminary analysis and 3) Consistent Fuzzy Preference Relations (CFPR) analysis, robust outcomes were found and established in this study. Findings: Among five driving factors, including 1) …

Investigating The Effectiveness Of Best Management Practices In Reducing Fecal Bacteria In Narrow River, Rhode Island, Katherine Thompson

Open Access Master's Theses

Fecal bacterial contamination shapes how communities manage and use estuarine waters, with consequences for ecosystem health and public access. In Rhode Island's Narrow River, elevated concentrations of fecal coliforms and enterococci have restricted shellfishing for decades despite ongoing management efforts. From 2004 to 2018, local organizations implemented Best Management Practices (BMPs) to address water quality challenges, yet their effectiveness remains incompletely understood. This study analyzes three decades of monitoring data using linear regression, generalized additive models, and Before After Control Impact methods to evaluate BMP effectiveness and identify key drivers of contamination. Linear regression revealed spatially variable trends, with bacterial …

Dynamic Beamforming And Array Shape Estimation, Nicholas Ryan Costick

Open Access Master's Theses

The accurate estimation of towed sonar array shapes during complex maneuvers is a critical challenge affecting beamforming and target localization performance. When underwater arrays experience sharp turns or rapid movements, sensor positions become difficult to track precisely, negatively impacting the reliability of beamforming methods. This thesis addresses the issue of dynamic array shape uncertainty, motivated by operational challenges faced by the Navy.

A maximum-likelihood estimation (MLE) method is developed to simultaneously estimate the array shape and field directionality (spatial spectrum) during maneuvers. The proposed solution expands upon previous research, specifically the dynamic spatial spectrum estimation techniques described by Rogers and …

Experimental Validation Of Model Predictive Control For Roll Attenuation Of Scale Model Barge In Beam Sea Conditions, Callum Robbins

Open Access Master's Theses

Floating offshore wind turbines (FOWTs) are the next great frontier in the offshore energy world. However, for these machines to be safe, effective, and reliable, they must be stable. In this thesis, an active control strategy is developed that uses future wave information and model predictive control to attenuate wave induced motions of a floating platform, such as a FOWT. The future wave information is provided by a wave reconstruction and prediction (WRP) algorithm which allows for wave events to be calculated faster than real-time. This wave information is provided to a nonlinear model predictive controller (NMPC) that uses a …

First Destination Survey 2025: For Degrees Awarded December 2024-August 2025, Hart Career Center, Illinois Wesleyan University

First Destination Survey

No abstract provided.

State: The Magazine Of Illinois State University, Winter 2025, Illinois State University, University Marketing And Communications

State: The Magazine of Illinois State University (1999-present)

Illinois State University alumni magazine

Eeg-Based Multi-Scale Perturbed Brain Cognitive Pattern Recognition Network For Gamer Level Classification, Lijun Jiang, Yanping Chen, Kexuan Liu, Xingyuan Chen, Li Dong, Weiya Ma, Diankun Gong, Dezhong Yao

General Human Environmental Sciences Faculty Publications and Presentations

Electroencephalogram (EEG)-based classification of video game experts versus amateurs reveals cognitive brain patterns underlying complex abilities, with applications in attention modulation, medical rehabilitation, and health monitoring. While deep learning has advanced EEG-based cognitive state detection, challenges remain in extracting meaningful patterns from noisy data and preventing reverse inference attacks on user privacy. Here, we propose a novel multi-scale perturbed brain cognitive pattern recognition network (MsPE). Its key contributions are: (1) a multi-scale weak encryption method with attention mechanisms that protects privacy by perturbing EEG signals in temporal and frequency domains; (2) ConvFormer modules with adaptive channel sizes (3, 5, 15) …

Dei And Antisemitism: Bred In The Bone, Suzanna Sherry

FIU Law Review

The article explains why no one should have been surprised by the antisemitism that exploded on college campuses after October 7, 2023. The article demonstrates that the worldview espoused by the DEI (diversity, equity, and inclusion) movement -- and its cousins, antiracism and wokeness -- is inherently and inevitably antisemitic. The antisemitism "bred in the bone" of DEI was bound to come to the surface eventually, and it did.

Using Wearable Technology For Context-Aware Of Pilgrimage Management System During/Post-Pandemic Of Covid-19, Fatina Shukur, Ahmed Al-Fatlawi, Safaa Jasim Mosa, Nasir Ibrahim

Mesopotamian Journal of Computer Science

Hajj is an annual event placed in Saudi Arabia. It is one of the largest religious gatherings, such that it gathers millions of pilgrims from all around the world. The pandemic of Covid-19 is not over yet, and could likely be part of our life for a long time. Also, it is negatively affecting such mass gatherings. The aim of this research is to facilitate the overall hajj event while maintaining peoples’ health, safety, and security. Therefore, we use a technology that helps to reduce direct contact between pilgrims themselves as well as with other entities, such that human interaction …

Models Of Machine Learning To Diagnose Chronic Kidney Disease Using A  Weka-Based Classifier, Shaymaa Adnan Abdulrahman, Sameerah Faris Khlebis

Mesopotamian Journal of Artificial Intelligence in Healthcare

In the present day, humans are confronted with a variety of diseases as a result of their lifestyle and the current environmental conditions. Therefore, it is crucial to identify and predict these diseases in their early phases in order to prevent their severe manifestations. Manually identifying maladies is a challenging task for physicians on a regular basis. Predicting chronic illnesses is the aim of this article. This goal is applicable through a state-of-the-art approach to classification correctly identifies people with chronic illnesses. Predicting maladies is also a difficult endeavor. Therefore, disease prediction is significantly influenced by data mining. To get …

A Critical Review Of Consumer Perception And Environmental Impacts Of Bioplastics In Sustainable Food Packaging, Junjie Lin, Amit K. Jaiswal, Swarna Jaiswal

Articles

As awareness of environmental issues deepens and the demand for sustainability grows among societies, businesses, and consumers, minimizing the environmental impact of food packaging has become increasingly important. Bioplastics offer a promising solution due to their use of renewable resources (such as plants), their biodegradability, and their ability to retain the protective properties of traditional plastics. This review discusses recent advancements and trends in sustainable food packaging, emphasizing the role of bioplastics. Several typical types of bioplastics are introduced, along with an analysis of their advantages and limitations. Furthermore, this study investigates consumers' attitudes toward bioplastic food packaging, emphasizing their …