Digital Commons Network^™

Structural Analysis Of Multi-Domain Dynamic Systems Modeled Via Bond Graphs, Arnold A. Fernandes, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

Structural Observability (SO) and Structural Monitorability (SM) are structural properties utilized to determine the state and fault-free operation of components, respectively, in a bond graph (BG) model. BGs enable qualitative system analysis, evaluating whether existing sets of sensors and actuators ensure Structural Observability (SO) and Structural Controllability (SC) without knowledge of parametric values. Furthermore, the analysis determines whether there are sufficient sensors available to identify component faults accurately. This work provides a framework for automated sensor placement in a multi-domain physical system while analyzing the SO and SM properties. The MATLAB Structural Analysis Toolbox (MATSAT) conducts sensor placement in a …

Centralized And Federated Heart Disease Classification Using Uci Dataset: A Benchmark With Interpretability Analysis, Mario Padilla Rodriguez, Eyiara Oladipo, Mohamed Nafea

Electrical and Computer Engineering Faculty Research & Creative Works

Cardiovascular disease (CVD) is a leading cause of global mortality, highlighting the need for accurate diagnostic methods. This study benchmarks centralized and federated learning (FL) algorithms for heart disease binary classification using the UCI dataset, which includes 920 patient records from four hospitals in the USA, Hungary, and Switzerland. Our benchmark is supported by Shapley-value as well as Local Interpretable Model-agnostic Explanations (LIME) interpretability analyses to quantify feature importance for classification. In the centralized setup, various classification algorithms are trained on pooled data, with the Naive Bayes classifier achieving the highest test accuracy of 81.1%. Further, FL algorithms with four …

Honey-Reram Enabled Sustainable Edge Ai System For Iot Applications, Jinhui Wang, Feng Zhao, Mohammad Rafeeq Khan, Md Mehedi Hasan Tanim, Zoe Templin, Harshvardhan Uppaluru

Electrical and Computer Engineering Faculty Research & Creative Works

This paper is toward a promising solution to address the environmental sustainability challenge in computing by building brain-inspired and green non-Von Neumann systems with Resistive Random-Access Memory (ReRAM) made from natural organic materials, honey, for energy-efficient operation, renewable material resources, sustainable device manufacturing, and environmentally-friendly disposal. In this paper, honey-ReRAM and its arrays are firstly manufactured and tested. The resistance modulation mechanism of honey-ReRAM is analyzed and investigated. Then a Computing-in-Memory (CIM) architecture based on honey-ReRAM for edge AI and IoT applications is proposed and evaluated. The experimental results indicate that the proposed edge AI systems with the VGG8 and …

Corona Discharge To Touchscreen Modeling Using Nonlinear Time-Dependent Corona Streamer Propagation Model In Spice, Zhekun Peng, Daniel Szanto, Jianchi Zhou, Darryl Kostka, David Pommerenke, Daryl G. Beetner

Electrical and Computer Engineering Faculty Research & Creative Works

SPICE-based methods for predicting coupling from an ESD-induced corona streamer to printed-circuit board (PCB) structures beneath a touchscreen display are evaluated in this paper. Results demonstrate that the non-linear time-dependent propagation model can capture the coupling much better than other models and accurately predict the overall current waveform.

Clues To Transcription/Replication Collision-Induced Dna Damage: It Was Rnap, In The Chromosome, With The Fork, Matthew B Cooke, Christophe Herman, Priya Sivaramakrishnan

Faculty, Staff and Students Publications

DNA replication and RNA transcription processes compete for the same DNA template and, thus, frequently collide. These transcription-replication collisions are thought to lead to genomic instability, which places a selective pressure on organisms to avoid them. Here, we review the predisposing causes, molecular mechanisms, and downstream consequences of transcription-replication collisions (TRCs) with a strong emphasis on prokaryotic model systems, before contrasting prokaryotic findings with cases in eukaryotic systems. Current research points to genomic structure as the primary determinant of steady-state TRC levels and RNA polymerase regulation as the primary inducer of excess TRCs. We review the proposed mechanisms of TRC-induced …

Refinement Of A Published Gene-Physical Activity Interaction Impacting Hdl-Cholesterol: Role Of Sex And Lipoprotein Subfractions, Kenneth E Westerman, Tuomas O Kilpeläinen, Magdalena Sevilla-Gonzalez, Margery A Connelly, Alexis C Wood, Michael Y Tsai, Kent D Taylor, Stephen S Rich, Jerome I Rotter, James D Otvos, Amy R Bentley, Samia Mora, Hugues Aschard, D C Rao, Charles Gu, Daniel I Chasman, Alisa K Manning

Faculty, Staff and Students Publications

Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C). We explored this GxE in the Women’s Genome Health Study (WGHS; N=23,294; the strongest cohort-specific signal in the original meta-analysis), the UK …

Great Lakes Water Level Trends Using The Moving Statistics Method, With Implications For Climate Change And Cities, Brian Barkdoll, Opeyemi Alamutu

Michigan Tech Publications

Increasing magnitudes of precipitation and evaporation are predicted for future climate change. Knowing whether these trends are occurring can help water managers plan with respect to future erosion, flooding, and design changes for shoreline infrastructure. Data from all the Laurentian Great Lakes (Erie, Michigan-Huron, Ontario, St. Clair, and Superior) were analyzed here to determine whether these trends are being realized. The MovingStatistics Method is used here using the moving average and moving standard deviation. It was found that Lakes Erie and St. Clair had the highest moving average trend of 0.5 mm/month, while Lake Ontario had the highest moving standard …

A Review Of Social, Behavioral, And Ethical Considerations For Smart Life Engineering, John Murray

Faculty Research, Scholarly, and Creative Activity

Smart Life (SL) systems do not exist in a technological vacuum; they are embedded in a social ecosystem and have rich and complex interactions with their surroundings. It is important to recognize that their design and implementation will have an impact on the individuals and communities around them. This chapter examines the social, behavioral, and ethical issues to be considered in a holistic systems approach to SL engineering, to help practitioners and stakeholders to design the strategies needed for successful SL deployments. It addresses these topics from several disciplinary viewpoints and provides a comprehensive set of references for those requiring …

Japanese Incarceration Memorial As Trauma Portfolio Play, A. J. Faas, Alyssa Singh, Cibella Gamma

Faculty Research, Scholarly, and Creative Activity

In collaboration with the Japanese American Museum of San José, California, we examined their exhibit of WWII-era incarceration of Japanese Americans to understand how the presentation of different positionalities (e.g., Japanese/American, loyal/disloyal) engage with and contest the terms of incarceration and internal politics within the Japanese American community. In our analysis, we focus on the reproduction and contestation of particular narratives of power and identity and treat the memorial exhibit as a variety of community-based “trauma portfolio” that unsettles state bureaucratic constructions of suffering and (in)justice. We conclude by identifying transformative possibilities for engaging with the different positionalities of incarcerated …

Study Finds Pelvic Floor Dysfunction In Women With Multiple Sclerosis Is An Unmet Need Requiring Nursing Action, Nicole Zhang

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

A Unifying Double-Reference Approach To Semantic Paradoxes: From The White-Horse-Not-Horse Paradox And The Ultimate-Unspeakable Paradox To The Liar Paradox In View Of The Principle Of Noncontradiction, Bo Mou

Faculty Research, Scholarly, and Creative Activity

The purpose of this study is to suggest and explain an engaging approach to three distinct types of (alleged or genuine) semantic paradoxes, the White-Horse-Not-Horse Paradox, the Ultimate-Unspeakable Paradox, and the Liar Paradox, in a unifying way that is sensitive to distinct features of them. Although the three types of semantic paradoxes address distinct types of objects, and although their seemingly paradoxical features are different (alleged or genuine), their distinct structures and contents can be understood and treated on the same common ground, which is jointly conceived in people's pretheoretic understandings of truth and of the double-reference feature of people's …

Resilience Practices In Health Science And Medical Libraries During The Early Stages Of The Covid-19 Pandemic, Justin F. Gaynor

Faculty Research, Scholarly, and Creative Activity

This paper uses the concept of resilience engineering as an organizing principle to discuss best practices that evolved within health science/medical libraries in the United States during COVID-19 crisis, focusing on the period March–August 2020. Protection of library staff, assistance to medical staff, reducing the circulation of misinformation and public health consumerism all required substantial changes to standard processes. These process changes had to arise in the context of both physical isolation and information overload. Some practices became widespread due to their utility, and these are the focus of this report.

Still Making It Up As He Goes: Revisiting The Hyper-Rhetorical Presidency In Trump’S Second Term, Richard Holtzman

Politics, Law, and Society Faculty Journal Articles

In Fast Capitalism’s 2020 issue, “This is Not Normal,” I explored Trump’s propensity for improvised rhetoric during his first term; that is, his reliance on “making it up as he goes” in his public statements, whether communicated verbally or through social media. The primary goal of my original essay was not simply to identify the president’s ad-hoc communication style—which is clear for all to see—but to argue that the president’s tendency toward improvisational speech matters because it represents more than just his approach to communication. This tendency toward improvisation also constitutes much of his approach to governing.

In “Making It …

Avatars And Digital Identity: Branding In The Metaverse, Gema Bonales-Daimiel, Belén Moreno-Albarracín

Faculty Research, Scholarly, and Creative Activity

Considering avatars as virtual identities in digital universes, and according to the scarcity of previous research on the impact generated by them, this study delves into avatars’ emergence as personal brands within metaverses, assessing the mediation of AI in the design process and evaluating the impact of avatars on user experience and advertising. After carrying out a mixed methodology based on a survey to users, interviews to active companies in metaverses and avatars design specialists; and a content analysis of metaverse platforms, it’s been proved that avatars are revolutionizing digital communications, allowing immersive interactions and the implementation of virtual experiences …

Exploration Of The Effects Of Tai Chi Practice On Lower Limb Corticomuscular Coherence During Balance-Demanding Virtual Reality Conditions In Older Adults, Yang Hu, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez

Faculty Research, Scholarly, and Creative Activity

Tai Chi practice has been widely adopted to improve balance and prevent falls in older adults. However, the neural mechanisms underlying the benefits of Tai Chi are difficult to evaluate during traditional balance assessments. The goal of this study was to evaluate the effects of Tai Chi and healthy aging on corticomuscular coherence (CMC) while standing in virtual balance-demanding environments. We recorded neural, muscular, and behavioral data in an immersive virtual reality environment while implementing sensory and mechanical perturbations to introduce high postural threats. Through the acquisition of electroencephalography and electromyography signals, we examined β and γ CMC changes in …

Self-Disclosure And Social Support In A Web-Based Opioid Recovery Community: Machine Learning Analysis, Yu Chi, Huai Yu Chen, Khushboo Thaker

Faculty Research, Scholarly, and Creative Activity

Background: The opioid crisis remains a critical public health challenge, with opioid use disorder (OUD) imposing significant societal and health care burdens. Web-based communities, such as the Reddit community r/OpiatesRecovery, provide an anonymous and accessible platform for individuals in recovery. Despite the increasing use of Reddit for substance use research, limited studies have explored the content and interactions of self-disclosure and social support within these communities. Objective: This study aims to address the following research questions: (1) What content do users disclose in the community?; (2) What types of social support do users receive?; and (3) How does the content …

Unmasking Public Sentiment: A Sample Efficient Approach To Analyzing Twitter Opinion On U.S. Aid To Ukraine, Satanu Ghosh, Nikhil Dewitt, Souvick Ghosh, Denise Mccoy

Faculty Research, Scholarly, and Creative Activity

The U.S. aid to Ukraine is a bipartisan topic of extreme socio-political importance. While several organizations have conducted surveys to understand the public stance on this topic, there is no research to date that analyses public opinion on social media, possibly due to the lack of annotated data. Therefore, this research compares several sample-efficient methods (including in-context learning) to analyze tweet sentiments with minimal training data. First, we collect 11,289 tweets about the U.S. aid to Ukraine and mapped them to U.S. states. Next, we explore three different approaches to sentiment analysis: tool-based, embedding-based, and prompt-based. Our results indicate that …

Impact Of Sensory Organization Tasks On Prefrontal Cortex Activity In Older Women: A Comparative Fnirs Study Of Osteoarthritis And Healthy Aging, Alka Bishnoi, Yang Hu, Manuel E. Hernandez

Faculty Research, Scholarly, and Creative Activity

Introduction: Osteoarthritis (OA), a prevalent musculoskeletal condition, is associated with an increased risk of falls. Maintaining posture relies on visual, vestibular, and proprioceptive inputs, but these systems can be compromised due to aging or disease, heightening fall risk. Such impairments may result from neuromuscular decline and reduced cognitive or visuospatial processing abilities. This study aimed to investigate prefrontal cortical (PFC) activation patterns during clinical sensory organization tasks (SOT) using functional near-infrared spectroscopy (fNIRS) in older women with OA and healthy controls (HOA). We hypothesized that PFC activation would increase as SOT conditions became more challenging, but that increases would be …

Association Between Risk Factors And Major Cancers: Explainable Machine Learning Approach, Xiayuan Huang, Shushun Ren, Xinyue Mao, Sirui Chen, Elle Chen, Yuqi He, Yun Jiang

Faculty Research, Scholarly, and Creative Activity

Background: Cancer is a life-threatening disease and a leading cause of death worldwide, with an estimated 611,000 deaths and over 2 million new cases in the United States in 2024. The rising incidence of major cancers, including among younger individuals, highlights the need for early screening and monitoring of risk factors to manage and decrease cancer risk. Objective: This study aimed to leverage explainable machine learning models to identify and analyze the key risk factors associated with breast, colorectal, lung, and prostate cancers. By uncovering significant associations between risk factors and these major cancer types, we sought to enhance the …

Learning About The Transit Passenger Experience From Microblogging Posts, Egbe Etu Etu, Asha Weinstein Agrawal, Jordan Larot, Chaitanya Tatipigari, Imokhai Theophilus Tenebe

Faculty Research, Scholarly, and Creative Activity

Transit agencies often track delays and malfunctions but may overlook riders’ real-time social experiences. To fill this gap, we analyzed 559 tweets from 2020 to 2023 that captured personal accounts of public transport use. Using thematic analysis, we found that 74% of posts criticized other passengers’ behavior, far outweighing comments on transit ride quality, such as complaints about delays (25%). Notably, 86% of tweets expressed negative sentiment, though some highlighted exceptional service. These findings demonstrate that interpersonal dynamics are a key contributor to riders’ experiences and illustrate the nature of the interactions that riders like and dislike.

Lgbtq+ Advocacy And Inclusive School Policies Are Associated With Self-Worth Among Youth In Gender-Sexuality Alliances Over The School Year, V. Paul Poteat, Abigail Richburg, Jack Day, Emily K. Finch, Jerel P. Calzo, Robert A. Marx, Arthur Lipkin, Hirokazu Yoshikawa

Faculty Research, Scholarly, and Creative Activity

Inclusive school policies and youth advocacy could promote well-being and positive development among youth of diverse sexual orientations and gender identities. Utilizing three waves of data over a 6-month period, we tested a three-level multilevel model on the extent to which youth’s advocacy in gender-sexuality alliances (GSAs; school clubs affirming youth identifying as lesbian, gay, bisexual, transgender, questioning or with other expansive sexual orientations or gender identities [LGBTQ+]) and attending schools that more thoroughly implemented LGBTQ+ inclusive policies and practices were associated with youth’s self-worth. Participants were 627 youth (87% LGBQ+ youth, 45% transgender or nonbinary youth, 48% youth of …

Finding Floral And Faunal Species Richness Optima Among Active Fire Regimes, Zachary L. Steel, Alissa M. Fogg, Raphaela Floreani Buzbee, Kate Wilkin, Brandon M. Collins, Ryan Burnett, Marc D. Meyer, Amarina Wuenschel, Scott L. Stephens

Faculty Research, Scholarly, and Creative Activity

Changing fire regimes have important implications for biodiversity and challenge traditional conservation approaches that rely on historical conditions as proxies for ecological integrity. This historical-centric approach becomes increasingly tenuous under climate change, necessitating direct tests of environmental impacts on biodiversity. At the same time, widespread departures from historical fire regimes have limited the ability to sample diverse fire histories. We examined 2 areas in California's Sierra Nevada (USA) with active fire regimes to study the responses of bird, plant, and bat communities to a broad spectrum of temporal, spatial, and severity patterns of fire. Bird and plant species richness peaked …

Utilization Of A Single Preferred Aac System In Us Schools, Jill E. Senner, Wendy Quach, Yoosun Chung, Brian Patterson, Amy Goldman, Sarah Blackstone, Kathleen A. Post

Faculty Research, Scholarly, and Creative Activity

The use of a single preferred communication book, board, app, or device across a school or district is a frequent topic on social media. The purposes of this study were to determine: (1) When a single system is adopted by a school or district, how does frequency of input from stakeholders compare to when a single system is not used; (2) When a single system is used, are data collected; and (3) When a single system is adopted, are criteria specified and what criteria are used to determine which students receive which levels of support? A link to an online …

Evaluating Seasonal Vs. Spatial Extrapolation For Cetacean Distribution Models In The California Current, Elizabeth A. Becker, Karin A. Forney, Bruce J. Thayre, Katherine Whitaker, Ryan Hoopes, Joshua M. Jones, John A. Hildebrand, Jeff Moore

Faculty Research, Scholarly, and Creative Activity

Species distribution models (SDMs) have been developed for multiple cetacean species within the California Current Ecosystem (CCE) from shipboard survey data collected by the Southwest Fisheries Science Center (SWFSC) in summer and fall, thus limiting the ability to inform management decisions in cool seasons when abundance and distribution patterns are substantially different. Winter and spring SDMs have been developed for a few species using California Cooperative Oceanic Fisheries Investigations (CalCOFI) shipboard survey data, but model predictions are limited to the waters off southern and central California. In this study, winter and spring density estimates for the entire CCE study area …

Grand Challenges For Human Factors And Ergonomics, Waldemar Karwowski, Gavriel Salvendy, Mica Endsley, William Rouse, Paul Salmon, Kay Stanney, Andrew Thatcher, Tony Andre, Jessie Yang, Hasan Ayaz, Ahmet Cakir, Vince Duffy, Colin Drury, Qin Gao, Yinni Guo, Peter Hancock, William S. Marras, Patrick Rau

Faculty Research, Scholarly, and Creative Activity

Contemporary society faces a growing set of complex global issues representing significant human health, well-being, and sustainability threats. Human Factors and Ergonomics (HFE) has a critical role to play in responding to these issues; however, there remain a set of grand challenges that require resolution. This paper presents and discusses six grand challenges for HFE and related key research thrust areas for each of the challenges. The grand challenges are (1) Evolution in Societal Thinking; (2) Future of Human Work in Industry 5.0; (3) Climate Change and Sustainability; (4) Future of Education and Training; (5) Future of Personalized Health, and …

Comparing E-Mosaics Predictions Of High-Redshift Proto-Globular Clusters With Jwst Observations In Lensed Galaxies, Joel Pfeffer, Duncan A. Forbes, Aaron J. Romanowsky, Nate Bastian, Robert A. Crain, J. M.Diederik Kruijssen, Kenji Bekki, Jean P. Brodie, Mélanie Chevance, Warrick J. Couch, Jonah S. Gannon

Faculty Research, Scholarly, and Creative Activity

High-resolution imaging and strong gravitational lensing of high-redshift galaxies have enabled the detection of compact sources with properties similar to nearby massive star clusters. Often found to be very young, these sources may be globular clusters detected in their earliest stages. In this work, we compare predictions of high-redshift (-10) star cluster properties from the E-MOSAICS simulation of galaxy and star cluster formation with those of the star cluster candidates in strongly lensed galaxies from JWST and Hubble Space Telescope (HST) imaging. We select galaxies in the simulation that match the luminosities of the majority of lensed galaxies with star …

A Transferable Approach For Quantifying Benthic Fish Sizes And Densities In Annotated Underwater Images, Peter C. Esselman, Shadi Moradi, Joseph K. Geisz, Christopher Roussi

Michigan Tech Publications

Benthic fishes are a common target of scientific monitoring but are difficult to quantify because of their close association to bottom habitats that are hard to access. Advances in image-acquisition technologies, machine vision and deep learning have made capturing and quantifying fishes with cameras increasingly feasible. We present a method and open-source software called ‘FishScale’ to estimate benthic fish lengths, numeric abundance and biomass density in underwater environments assessed with down-looking monocular images. ‘FishScale’ estimates fish abundances and size frequencies from near-nadir monocular images where fish have already been semantically segmented. The software accounts for lens distortion, underwater magnification effects …

Tap, Swipe, And Connect: Exploring Perceptions Of Inclusivity Through Smartphone Design And Accessibility, Carmen Van Ommen

Doctoral Dissertations and Master's Theses

There has been an increasing importance placed on customization of products and desire for the product to allow the consumer to express themselves or fit into desired social groups with their product choices. Designing products to be inclusive can encompass these desires, as well as ensure that a wide range of user groups can use the products well. In general, there is little research in the field of perceptions of inclusivity with consumer technology products. Previous research has validated a scale to measure Perceptions of Technology Product Inclusivity (PTPI) with different user groups and technology product groups, however no research …

Mini-Maps, Crucial Or Controversial: Assessing The Influence Of Perceived Spatial Orientation And Cognitive Mapping Performance On Video Game User Experience, Angela Le

Doctoral Dissertations and Master's Theses

Decades of game studies, also known as video games research, have revealed frequent video gameplay is positively correlated with enhanced cognition. An area of study that is limited, however, is the relationship between spatial cognition, specifically the domains of spatial orientation and cognitive mapping and their effects on video game user experience for games employing visual navigational aids. Video game user experience is influenced by many factors such as graphics and audio, gameplay mechanics, user interface design, etc. The present study aims to explore whether spatial abilities influence and are significantly correlated with user experience for games using heads-up displays …

The Effect Of Need For Cognition & Need For Affect On Human Reliance And Artificial Intelligence Interactions, Aliyah Mcgowan

Doctoral Dissertations and Master's Theses

Abstract

With the increased use of Artificial Intelligence (AI) automations in fields like medical diagnoses and mental health queries, there are concerns regarding an individual’s trust and reliance on the technology. Reliance on AI output may lead an individual to accept inaccurate or incorrect information without further analysis. Trust may influence reliance and trust formation may be a product of affective processing. This study investigated the relationship between Need for Affect (NFA), Need for Cognition (NFC), and trust and reliance on AI interactions. Participants were assessed on the NFA scale for willingness to approach or avoid emotional stimuli, the NFC …