Digital Commons Network^™

House Flies (Musca Domestica) In Abu Dhabi Emirate: Assessing Deltamethrin Insecticide Resistance And Associated Microbial Communities, Mohamad Abdelrahim Hamdan

Theses

This study investigates the common house fly (Musca domestica), a globally important insect that serves as both a decomposer and a mechanical vector for pathogens. The emergence of insecticide resistance, particularly knockdown resistance (kdr) mutations, has been reported in house fly populations, raising concerns for pest control. Additionally, house flies exhibit diverse bacterial communities, influencing pathogen transmission and environmental microbial dynamics. The primary objective of this study was to assess the prevalence of kdr mutations associated with insecticide resistance in house flies collected from the Abu Dhabi Emirate and to analyze their microbial composition using metagenomic approaches. House flies were …

Data Without Borders: International Effects Of Data Flow Regulation, Tamar Giladi Shtub, Michal S. Gal

Vanderbilt Journal of Transnational Law

No abstract provided.

The Relationship Between Food Insecurity And Emotional Eating During The Coronavirus Pandemic In Northern California, Andreza S.B. Souza, Marcelle M. Dougan, Giselle A.P. Pignotti

Faculty Research, Scholarly, and Creative Activity

Objectives: This cross-sectional study examined the association between food insecurity and emotional eating and explored correlations between emotional eating and dietary behavior in the U.S during the pandemic. Methods: Participants (N = 515, 77.1 % female, 44.1 ± 14.7 years old) completed a validated online survey between August and November of 2020 including questions about food security and eating behaviors. A multivariable linear regression model was used to evaluate the association between food insecurity and emotional eating. Pearson correlations were calculated to assess the relationship between emotional eating and dietary behavior Results: Overall, 31.3 % of the participants experienced food …

Community Engagement Approaches And Lessons Learned: A Case Study Of The Precise Pregnancy Cohort Study In Kenya, Onesmus Wanje, Angela Koech, Maggie Woo Kinshella, Grace Mwashigadi, Alice Kombo, Grace Maitha, Nathan Barreh, Hiten D. Mistry, Marianne Vidler, Rachel Craik

Centre of Excellence in Women and Child Health

Community engagement (CE) has been recommended as an important ethical consideration for health research to enhance informed consent and exchange knowledge between researchers and community members. The purpose of this paper is to describe how CE was developed and delivered for the PRECISE prospective pregnancy cohort study in Kenya. PRECISE enrolled pregnant women in antenatal care, followed them up to the postpartum period, and collected data and biological samples to enable the study of placental disorders in sub-Saharan Africa. Initially CE was aimed at informing the community about the study, establishing communitywide acceptance of the research and addressing concerns about …

Towards A Global Understanding Of Tree Mortality, Andres Holz, International Tree Mortality Network

Geography Faculty Publications and Presentations

Rates of tree mortality are increasing globally, with implications for forests and climate. Yet, how and why these trends vary globally remain unknown. Developing a comprehensive assessment of global tree mortality will require systematically integrating data from ground-based long-term forest monitoring with large-scale remote sensing. We surveyed the metadata from 466 865 forest monitoring plots across 89 countries and five continents using questionnaires and discuss the potential to use these to estimate tree mortality trends globally. Our survey shows that the area monitored has increased steadily since 1960, but we also identify many regions with limited ground-based information on tree …

Oregon Vegetation Change 1851 – 2023, Ray L. Brunner, Eleanor P. Gaines

Institute for Natural Resources Publications

This effort compares the total area and spatial overlap between vegetation classes in existing vegetation maps of different eras to provide insight into possible changes in vegetation cover between 1851 and 2023 (Table 1). There are significant differences between the classifications and methods used to make each map, so we focus here on research questions that:
a) relate to at least one specific Key Habitat, and
b) where there is existing research suggesting that the specific pattern investigated is true, and
c) where the differences between the vegetation classifications compared are expected to be smaller than the differences over time. …

Personal Decontamination Of Copper Oxide Powder As A Radiological Surrogate On Ambulatory Patients In Arctic Environments: Assessing Residual Airborne Risks After Air Shower Or Vacuum Decontamination Of A Manikin, Quinn G. Pelichoff

Theses and Dissertations

This study assessed air-based decontamination methods for treating patients exposed to dry radiological contamination while minimizing reaerosolization during disrobing, particularly in extreme cold environments. A full-size manikin,  simulating an able-bodied Airman, was dressed in military-issue extreme cold weather gear and coated with 28 grams of Copper Oxide. The manikin underwent one of three treatments: HEPA vacuuming, a mobile personal air shower, or no treatment (control). After treatment, researchers removed the uniform and used optical particle counters to measure airborne dust concentrations that could pose risks during disrobing. Each method was tested ten times (30 trials total). Statistical analyses (ANOVA, Tukey’s …

Early-Phase Cost Estimation For Department Of Defense Construction Projects Via Artificial Neural Networks: Implications And Policy Recommendations For Artificial Intelligence Integration, Kobe T. Thompson

Theses and Dissertations

The Department of Defense lost over 500 million dollars between 2016 and 2024, partially due to poor early cost estimates resulting in cost overruns. practice for cost estimation relied on parametric techniques that incorporate historical data, subject matter experts in cost estimating, and predictive software applications. The main motivation for this study was to assess the viability of artificial neural networks as a means of providing a more accurate cost estimate in the early design phases of a construction project. The dataset initially contained approximately 48,000 data points from a database of various Air Force projects, including maintenance, repair, minor …

Hyperparameter Tuning For Robust Autonomous Vehicle Vision, Nico D. De Ros

Theses and Dissertations

Classification “flickering,” where the classification of an object changes inconsistently between consecutive video frames, remains a persistent issue in modern object classification algorithms. This problem undermines the reliability of autonomous vision systems and poses significant risks in high-stakes applications such as autonomous vehicles. This thesis explores the use of response surface methodology, a statistical design of experiments technique, to optimize hyperparameters across three object classification pipelines. The first pipeline combines YOLOv8 with SORT to establish a benchmark. The second integrates a Bayesian back-end, while the third employs an exponential smoothing back-end. Hyperparameter tuning was conducted using a two-step process: an …

Improving Zero Shot Learning By Linking Multi-Label Cnns With Llms, Michael A. Wegner

Theses and Dissertations

Classifying previously unseen objects poses a significant challenge for traditional computer vision algorithms, which rely on extensive labeled training data. Zero-shot reasoning offers a way to overcome this limitation. This research explores a novel method for image recognition using the Animals with Attributes 2 (AWA2) dataset as a proof of concept. A multi-label ResNet50 model predicts core attributes like color, ear shape, or number of limbs. Those attributes then feed into ChatGPT which leverages its extensive knowledge base to classify the animal based on the provided attributes. This novel approach skips the need to train on every possible class. Instead, …

Class Imbalance: A Landscape Of Classification Models, Joshua L. Edmonds

Theses and Dissertations

Class imbalance poses significant challenges in machine learning classification. This study evaluates the performance of seven models (ANN, k-Means, kNN, LDA, LR, SVM, XGBoost) across multiple imbalance levels (10\%, 5\%, 1 \%, 0.5\%) and investigates the effectiveness of sampling techniques (Undersampling, SMOTE, SMOTE-ENN). ANOVA results confirm that model choice is the most critical factor, with XGBoost and SVM demonstrating superior robustness. SMOTE improves recall but reduces precision, while undersampling generally degrades overall performance. While significant, imbalance levels do not play a critical role in model effectiveness.

Island Nation Duress: Simulating Passive Peer-To-Peer Bluetooth Communication During Disaster Relief, Jason K. Medeiros

Theses and Dissertations

Pacific Islands under U.S. jurisdiction are highly vulnerable to natural disasters, yet many lack the infrastructure to effectively respond and recover. Clear communication during and after such events is critical for evacuation, hazard awareness, and first responders’ coordination. This research explores a simulation-based approach using Bluetooth communication to relay messages across Guam, assessing its efficiency through statistical analysis. By examining regional differences and geographic impacts on Bluetooth messaging, the study aims to identify key factors that enhance peer-to-peer communication for timely and effective disaster response.

Discovering Design Requirements For Next Generation Arctic Tension Fabric Shelters, Mark W. Mcveigh

Theses and Dissertations

Military operations to remote Arctic regions require large-span temporary shelters to house tactical aircraft and provide heated maintained spaces. However, the current System-50 Large Area Maintenance Shelters used by the United States Air Force and Department of Defense are inadequate for Arctic deployments. These shelters lack durability against extreme subzero temperatures, heavy snow accumulation, and high wind speeds. They also fail to address critical Arctic-specific design challenges including permafrost protection, foundation disruption caused by frost heaves, and efficient heating as a result of their inadequate thermal resistance properties. This research analyzed 20 years of climatological data from 8,399 weather observation …

Atmospheric Water Generation: Bacterial And Inorganic Chemical Quality, Garrett E. Stanley

Theses and Dissertations

This study investigated the quality of untreated water collected from a vapor compression-based atmospheric water generator (AWG) operated outdoors in Dayton, Ohio. The concentrations of bacterial and chemical constituents were determined. The concentration of culturable bacteria was between 200 and 2300 CFU/mL, significantly higher than the reference levels described in recreational and drinking water quality guidance. Three discrete bacteria phenotypes were visually identified; two were yellow in color, rod-shaped and gram-negative while the third was milky white, circular, and gram-positive. Chemical analysis on 15 randomly selected samples revealed the presence of Barium (average = 0.16 mg/L), Magnesium (0.08 = mg/L), …

Material Classification With Spectropolarimetric Lidar, Alexander J. Watson

Theses and Dissertations

A method for characterizing unknown targets using a hyperspectral polarimetric light detection and ranging (LiDAR) system is presented. Light reflected from manmade objects tends to be more polarized than light reflected from objects in the natural world. As such, polarization measurements can be used in remote sensing applications to differentiate artificial and natural objects. Previous works have attempted to characterize objects through passive polarimetric imagery. Methods developed by Cain and Lemaster and Cunningham facilitate reconstruction of the Stokes Vector from returning light. Martin used multispectral polarimetry to classify targets when the angle of incidence (AOI) is close to 0º. Here, …

Retrospective Cohort Study Of Pure Tone Audiometry Hearing Changes Associated With Ototoxic Metals And Solvents, Continuous Noise And Impulse Noise Exposures At Robins Air Force Base From 2001-2019, Ronald Diaz Cataldo Ramos

Theses and Dissertations

Utilizing DOEHRS-IH and DOEHRS-HC, a retrospective epidemiological study was performed on Robins AFB personnel to investigate relative risks of hearing loss associated with exposures to continuous noise, impulse noise, and ototoxic metals and solvents. An analysis of variance identified age, frequency octave, era and exposure type as influencers of hearing threshold shifts. Risk ratios showed higher risk of hearing loss for exposures to continuous noise + impulse noise + ototoxic metals as well as continuous noise + impulse noise at low frequencies (500Hz and 1,000Hz), and lesser risk for exposures to continuous noise + impulse noise and continuous noise + …

Air-Based Chemical Patient Decontamination Methodologies For Arctic Regions Using Methly Salicylate As A Chemical Agent Surrogate On A Litter-Bound Manikin, Marcus D. Shadd

Theses and Dissertations

This study evaluated a mobile air shower for patient decontamination without disrobing or rinsing, an alternative for Arctic conditions where water is scarce. A manikin in extreme cold weather gear was exposed to 10 µL of methyl salicylate (MeS), a sulfur mustard surrogate, and placed in a horizontal chamber on a military litter. Airborne MeS was measured using a ppbRAE 3000 detector to assess inhalation risk for the patient and decontamination team. Three methods were tested: an air-knife system, paper towels, and no decontamination, with 10 trials each (30 total). ANOVA analysis showed significant reductions in airborne MeS with air-knife …

Transfer Efficiencies Of Surface-To-Surface Transport Of Micron-Sized Actinide Surrogate Particles, Austin R. Powell

Theses and Dissertations

Particle effluent of varying sizes is released during routine activities within laboratory environments and these particles can come in contact with a wide range of surfaces. Particles of micron size or smaller can be especially pervasive and can transfer between multiple subsequent surfaces, leading to the progressive contamination of a laboratory. Understanding the transport dynamics of micron sized particles will help inform facility personnel of the possibility of contamination by these potentially hazardous materials of interest. In this research, the transfer efficiency of micron sized surrogate actinide particles (Europium-doped Gadolinium Oxysulfide (EGOS)) is measured for multiple materials, between two particle …

Event-Based Camera Simulation And Neural Network Processing For Autonomous Aerial Refueling, Stephanie C. Hanson

Theses and Dissertations

Event-based cameras excel in dynamic environments, and do not face challenges like washout and motion blur, like a frame-based camera. This work describes the process used to collect the first EBS data collect for use in AAR, and develops an event simulator to generate synthetic training data for evaluating CNN architectures on asynchronous data. The three models compared are a traditional CNN, a YOLO-based CNN, and an asynchronous sparse CNN. The YOLO-based model achieved the best accuracy, while the sparse CNN, despite being less optimized, maintained an average IoU of 0.9. These results highlight the potential of asynchronous approaches for …

Approximating Three-Body Trajectories With A Knot Theory Inspired Model For Orbit Generation And Determination, Mason R. Mill

Theses and Dissertations

This thesis explores a novel approach to approximating three-body trajectories using a knot theory-inspired model for orbit generation and determination. Traditional methods for solving the Circular Restricted Three-Body Problem (CR3BP) rely on numerical integration and correction schemes to generate trajectories, often requiring iterative refinements. This research investigates the application of knot theory principles—such as torus knots, Alexander polynomials, and Reidemeister moves—to categorize and model complex orbital trajectories in the CR3BP. By leveraging these mathematical tools, the study aims to enhance trajectory prediction, orbit determination, and mission planning for spacecraft operating in the cislunar environment. The results demonstrate that knot theory …

Environmental Life Cycle Assessment Of Class A Biosolids Production Using Conventional And Low-Cost, Low-Tech Processes At Small Water Resource Recovery Facilities, Janna Brown, Robert Handler, Jennifer G. Becker, Eric Seagren

Michigan Tech Publications

Producing Class A biosolids that can be distributed or land-applied without restriction is a beneficial way to reuse wastewater treatment solids. For small water resource recovery facilities (WRRFs) in particular, low-cost, low-tech (LCLT) processes may be an appealing alternative to conventional technologies for producing Class A biosolids, such as processes to further reduce pathogens (PFRPs). Conventional Class A biosolids treatment processes tend to be energy-intensive and involve complex equipment and operations. However, a systematic comparison of the overall sustainability of conventional processes and LCLT alternatives for producing Class A biosolids to aid decision makers in selecting treatment processes is not …

Exploring The Dynamics Of Lotka-Volterra Systems: Efficiency, Extinction Order, And Predictive Machine Learning, Sepideh Vafaie, Deepak Bal, Michael A.S. Thorne, Eric Forgoston

School of Computing Faculty Scholarship and Creative Works

For years, a main focus of ecological research has been to better understand the complex dynamical interactions between species that comprise food webs. Using the connectance properties of a widely explored synthetic food web called the cascade model, we explore the behavior of dynamics on Lotka-Volterra ecological systems. We show how trophic efficiency, a staple assumption in mathematical ecology, affects species extinction. With clustering analysis, we show how straightforward inequalities of the summed values of birth, death, self-regulation, and interaction strengths provide insight into which food webs are more enduring or stable. Through these simplified summed values, we develop a …

Overview Of Porous Magnesium-Based Scaffolds: Development, Properties And Biomedical Applications, Amir Motaharinia, Jaroslaw Drelich, Safian Sharif, Ahmad Fauzi Ismail, Farid Naeimi, Alexandra G. Glover, Mahshid Ebrahiminejad, Hamid Reza Bakhsheshi-Rad

Michigan Tech Publications

Magnesium (Mg) and its alloys are revolutionizing the field of interventional surgeries in the medical industry. Their high biocompatibility, biodegradability, and a similar elastic modulus to natural bone make porous Mg-based structures potential candidates for orthopedic implants and tissue engineering scaffolding. However, fabricating and machining porous Mg-based structures is challenging due to their complexity and difficulties in achieving uniform or gradient porosity. This review aims to thoroughly explore various fabrication procedures used to create metallic scaffolds, with a specific focus on those made from Mg-based alloys. Both traditional manufacturing techniques, including the directional solidification of metal-gas eutectic technique, pattern casting, …

Leveraging Artificial Intelligence And Machine Learning To Accelerate Discovery Of Disease-Modifying Therapies In Type 1 Diabetes., Melanie R. Shapiro, Erin M. Tallon, Matthew E. Brown, Amanda L. Posgai, Mark A. Clements, Todd M. Brusko

Manuscripts, Articles, Book Chapters and Other Papers

Progress in developing therapies for the maintenance of endogenous insulin secretion in, or the prevention of, type 1 diabetes has been hindered by limited animal models, the length and cost of clinical trials, difficulties in identifying individuals who will progress faster to a clinical diagnosis of type 1 diabetes, and heterogeneous clinical responses in intervention trials. Classic placebo-controlled intervention trials often include monotherapies, broad participant populations and extended follow-up periods focused on clinical endpoints. While this approach remains the 'gold standard' of clinical research, efforts are underway to implement new approaches harnessing the power of artificial intelligence and machine learning …

Reevaluating Anti-Inflammatory Therapy: Targeting Senescence To Balance Anti-Cancer Efficacy And Vascular Disease, Bernardo Casso-Chapa, Norma Alicia Vazquez González, Nhat-Tu Le, Nicolas L Palaskas, Kevin T Nead, Lydia P Eutsey, Venkata S K Samanthapudi, Abigail M Osborn, Jonghae Lee, Gilbert Mejia, Oanh Hoang, Steven H Lin, Anita Deswal, Joerg Herrmann, Guangyu Wang, James L Kirkland, Sunil Krishnan, Xander H T Wehrens, Eduardo N Chini, Syed Wamique Yusuf, Cezar A Iliescu, Abhishek Jain, Jared K Burks, Erin Seeley, Philip L Lorenzi, Khanh M Chau, Keila C Ostos-Mendoza, Isabella M Grumbach, Paul S Brookes, Nordin M J Hanssen, Menno P J De Winther, Laurent Yvan-Charvet, Sivareddy Kotla, Keri Schadler, Jun-Ichi Abe

The Brown Foundation: Institute of Molecular Medicine

Modulating immune function is a critical strategy in cancer and atherosclerosis treatments. For cancer, boosting or maintaining the immune system is crucial to prevent tumor growth. However, in vascular disease, mitigating immune responses can decrease inflammation and slow atherosclerosis progression. Anti-inflammatory therapy, therefore, presents a unique dilemma for cancer survivors: while it may decrease cardiovascular risk, it might also promote cancer growth and metastasis by suppressing the immune response. Senescence presents a potentially targetable solution to this challenge; senescence increases the risk of both cancer therapy resistance and vascular disease. Exercise, notably, shows promise in delaying this premature senescence, potentially …

Family Genetic Risk Communication And Reverse Cascade Testing In The Babyseq Project, Melissa K Uveges, Hadley Stevens Smith, Stacey Pereira, Casie Genetti, Amy L Mcguire, Alan H Beggs, Robert C Green, Ingrid A Holm

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Genomic sequencing of newborns can initiate disease surveillance and therapy for children and may identify at-risk relatives through reverse cascade testing. We explored genetic risk communication and reverse cascade testing among families of newborns who underwent exome sequencing and were identified as having a risk for an autosomal dominant disease.

Methods: We conducted semistructured interviews with parents of newborns enrolled in the BabySeq Project who had a pathogenic or likely pathogenic variant associated with an autosomal dominant childhood- and/or adult-onset disease returned. We used directed content analysis to derive themes.

Results: From 11 families, all first-degree relatives (n = …

Quantitative Profiling Ph Heterogeneity Of Acidic Endolysosomal Compartments Using Fluorescence Lifetime Imaging Microscopy, Dinghuan Deng, Youchen Guan, Ayse Sena Mutlu, Baiping Wang, Shihong Max Gao, Hui Zheng, Meng C Wang

Center on Aging Staff Publications

The endolysosomal system plays a crucial role in maintaining cellular homeostasis and promoting organism fitness. The pH of its acidic compartments is a crucial parameter for proper function, and it is dynamically influenced by both intracellular and environmental factors. Here, we present a method based on fluorescence lifetime imaging microscopy (FLIM) for quantitatively analyzing the pH profiles of acidic endolysosomal compartments in diverse types of primary mammalian cells and in live organism Caenorhabditis elegans. This FLIM-based method exhibits high sensitivity in resolving subtle pH differences, thereby revealing heterogeneity within a cell and across cell types. This method enables rapid …

Multi-Omics Delineate Growth Factor Network Underlying Exercise Effects In An Alzheimer’S Mouse Model, Xin Li, Chaozhong Liu, Wenbo Li, Guantong Qi, Yanwan Dai, Chaohao Gu, Yuxiang Sun, Wenjun Zhou, Veronica C Ciliberto, Jing Liang, Udhaya Kumar S, Dongyin Guan, Zhaoyong Hu, Hui Zheng, Zhandong Liu, Hu Chen, Ying-Wooi Wan, Zheng Sun

Duncan NRI Faculty and Staff Publications

Introduction: Physical exercise is a primary defense against age-related cognitive decline and Alzheimer's disease (AD).

Methods: We conducted single-nucleus transcriptomic and chromatin accessibility analyses (snRNA-seq and snATAC-seq) on the hippocampus of mice carrying mutations in the amyloid precursor protein gene (APPNL-G-F) following prolonged voluntary wheel-running exercise.

Results: Exercise mitigates amyloid-induced changes in transcriptome and chromatin accessibility through cell type-specific regulatory networks converging on growth factor signaling, particularly the epidermal growth factor receptor (EGFR) signaling. The beneficial effects of exercise on neurocognition can be blocked by pharmacological inhibition of EGFR and its downstream PI3K signaling. Exercise leads to elevated levels of …

Patient Consent And The Right To Notice And Explanation Of Ai Systems Used In Health Care, Meghan E Hurley, Benjamin H Lang, Kristin Marie Kostick-Quenet, Jared N Smith, Jennifer Blumenthal-Barby

Center for Medical Ethics and Health Policy Staff Publications

Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public and allow for innovation, the U.S. Government recently issued a Blueprint for an AI Bill of Rights which outlines five principles of safe AI design, use, and implementation. One in particular, the right to notice and explanation, requires accurately informing the public about the use of AI that impacts them in ways that are easy to understand. Yet, in the healthcare setting, it is unclear what goal the right to notice and explanation serves, and the moral importance of patient-level disclosure. We propose three normative functions …

Reimagining Stuttering Therapy And Outcomes Through An Acceptance And Collaborative Lens, Farzan Irani, Michael Azios, Michael Boyle, Geoffrey A. Coalson, Scott Palasik, Jack Rodriguez, Eric Swartz

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

The purpose of this paper is to summarize a panel discussion at the 2024 World Stuttering and Cluttering Organization Congress that aimed to explore and reflect on the shifting landscape of stuttering therapy across the lifespan. The panel comprised of speech-language pathologists who have experience in stuttering therapy as clients, professionals, and researchers. The panel members reflect on the research, their professional experiences, and their own personal journey toward a more acceptance-based therapy and its outcomes. The paper concludes with the panel's reflections on the future of stuttering therapy across the lifespan.