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Melanocortin 4 Receptor-Dependent Mechanism Of Acth In Preventing Anxiety-Like Behaviors And Normalizing Astrocyte Proteins After Early Life Seizures., Mohamed R Khalife, Colin Villarin, Juan Manuel Ruiz, Sam A Mcclelland, Khalil Abed Rabbo, J Matthew Mahoney, Rod C Scott, Amanda E Hernan Mar 2025

Melanocortin 4 Receptor-Dependent Mechanism Of Acth In Preventing Anxiety-Like Behaviors And Normalizing Astrocyte Proteins After Early Life Seizures., Mohamed R Khalife, Colin Villarin, Juan Manuel Ruiz, Sam A Mcclelland, Khalil Abed Rabbo, J Matthew Mahoney, Rod C Scott, Amanda E Hernan

Faculty Research 2025

Epilepsy, affecting millions globally, often leads to significant cognitive and psychiatric comorbidities, particularly in children. Anxiety and depression are particularly prevalent, with roughly a quarter of pediatric epilepsy patients having a comorbid diagnosis. Current treatments inadequately address these issues. Adrenocorticotropic hormone (ACTH), a melanocortin peptide, has shown promise in mitigating deficits after early-life seizures (ELS), potentially through mechanisms beyond its canonical action on the melanocortin 2 receptor. This study explores the hypothesis that recurrent ELS is associated with long-term anxiety and that treatment with ACTH can prevent this anxiety through a mechanism that involves the melanocortin 4 receptor (MC4R) in …

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Real-Time Prediction Of Dynamical Systems Using A Hybrid Analog Computer: Network Traffic Modeling, Majd Zuhair Tahat Mar 2025

Real-Time Prediction Of Dynamical Systems Using A Hybrid Analog Computer: Network Traffic Modeling, Majd Zuhair Tahat

Doctoral Dissertations

As the number of online users grows exponentially, the number and severity of cyber threats escalate, urgently requiring advancements in real-time network modeling and response. Swiftly predicting and analyzing network traffic is crucial for effective network monitoring and control, preventing cyber breaches, and maintaining healthy network functionality. This research presents a novel approach to real-time modeling based on analyzing evolving properties and patterns in a dynamical network system using a hybrid analog-digital computer. An analog computer was utilized as a co-processor to compute differential equations that model the Transmission Control Protocol (TCP) window size. A comparative analysis was conducted between …

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A Human-In-The-Loop Framework For Scalable And Interpretable Event Triaging In Large-Scale Systems, Ibrahim Khaled Al-Agha Mar 2025

A Human-In-The-Loop Framework For Scalable And Interpretable Event Triaging In Large-Scale Systems, Ibrahim Khaled Al-Agha

Doctoral Dissertations

This dissertation presents a comprehensive and scalable framework for real-time fault detection and event triage in industrial systems, addressing critical challenges such as class imbalance, ambiguous feature boundaries, and the prioritization of complex, high-dimensional event data. The proposed framework integrates advanced methodologies, including micro-batch processing, retrospective divergence-based event detection (DB-RED), association rule mining (ARM), clustering, and Dempster-Shafer Theory (DST) for conflict resolution. Together, these components enable the systematic stratification of events into actionable priority levels, ensuring robust and interpretable decision-making in real-time environments. DB-RED forms the cornerstone of the framework, leveraging KL-divergence and PE-divergence metrics to detect subtle and transient …

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A Preliminary Report Of The Carotenoid Assessment In Adults 50 Years Of Age And Older In Louisiana, Mary-Catherine Feazell Mar 2025

A Preliminary Report Of The Carotenoid Assessment In Adults 50 Years Of Age And Older In Louisiana, Mary-Catherine Feazell

Master's Theses

Fruits and vegetables are at the core of a healthy, balanced diet. They assist in preventing the development of chronic diseases such as hypertension, diabetes, cardiovascular disease, and cancer (Fadnes, et al., 2022). Aging is a natural biological process followed by disease, cognitive impairment, and a natural decline of the body’s ability to perform at its best. The older adult population is currently the fastest-growing population globally (El-Shebiney et al., 2022). Vitamin A is crucial for several parts of the body to function correctly. Despite the positive effects of Vitamin A on the body, the recommended dietary intake is not …

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Understanding Brand Perception And Purchase Drivers Among Engaged Stakeholders For Products Developed At The University Of The Philippines Los Baños, Emil John C. Cabrera, Eunice Dianne Y. Algar, Cathrene P. Amante, Rainielle Kyle M. Guison Mar 2025

Understanding Brand Perception And Purchase Drivers Among Engaged Stakeholders For Products Developed At The University Of The Philippines Los Baños, Emil John C. Cabrera, Eunice Dianne Y. Algar, Cathrene P. Amante, Rainielle Kyle M. Guison

Asia-Pacific Intellectual Property Management and Innovation Book Series

Branding for universities is a relatively new concept, particularly as they position themselves to be an “entrepreneurial university.” This model necessitates a proactive approach to intellectual property (IP) management and technology transfer. Recent studies on university branding focus on higher educational institutions (HEIs) and how branding supports the development of their distinct identities and reputation. However, research on the perception of university-developed products, particularly in the context of the Philippines, is still limited. This study, therefore, examined the brand perceptions and purchase drivers of engaged stakeholders towards University of the Philippines Los Baños (UPLB)-developed products to evaluate the effectiveness of …

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Towards A Global Understanding Of Tree Mortality, Andres Holz, International Tree Mortality Network Mar 2025

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 …

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Oregon Vegetation Change 1851 – 2023, Ray L. Brunner, Eleanor P. Gaines Mar 2025

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. …

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House Flies (Musca Domestica) In Abu Dhabi Emirate: Assessing Deltamethrin Insecticide Resistance And Associated Microbial Communities, Mohamad Abdelrahim Hamdan Mar 2025

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 …

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Interactive Mapping Of Allergenic Urban Street Trees In Australia, Diman Krwanji, Anna J. Hopkins, Kristina Lemson, M. Hanson Mar 2025

Interactive Mapping Of Allergenic Urban Street Trees In Australia, Diman Krwanji, Anna J. Hopkins, Kristina Lemson, M. Hanson

Research outputs 2022 to 2026

Tree pollen can be a persistent allergen for sensitised individuals, causing allergic rhinitis and asthmatic symptoms. Increased urbanisation results in larger populations living in cities and relying on urban greenspaces for recreation and associated ecosystem services, where the street landscapes are determined by urban planners. Urban forest strategies broadly divide planting choices based on biological functionality, climate resilience and environmental benefits but increasingly the associated physical and mental health impacts of urban vegetation are being considered. Here, we studied pollen allergenicity in four Australian cities by incorporating measures of allergenicity in existing street tree asset databases and visualising these using …

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Pulmonary Nodule Malignancy Probability: A Meta-Analysis Of The Brock Model, S. Chen, W. L. Lin, W. T. Liu, L. Y. Zou, Y. Chen, F. Lu Mar 2025

Pulmonary Nodule Malignancy Probability: A Meta-Analysis Of The Brock Model, S. Chen, W. L. Lin, W. T. Liu, L. Y. Zou, Y. Chen, F. Lu

Research outputs 2022 to 2026

Aim: This study aims to quantify the performance of the Brock model through a systematic review and meta-analysis and to clarify its overall accuracy in predicting malignant pulmonary nodules. Materials and Methods: A systematic search was conducted in databases including the Cochrane Library, Excerpta Medica database (EMBASE), MEDLINE, Web of Science, Chinese Biological Medicine Database (CBM), China National Knowledge Infrastructure (CNKI), VIP, and Wanfang from their inception until May 1, 2024, to collect observational cohort studies involving the Brock model. The primary outcome was the pooled area under the receiver operating characteristic curve (ROC) the area under curve (AUC) for …

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Thorium Ore Dust Research Applicable To Mineral Sands Industry Workers, Gregory S. Hewson, M. I. Ralph, M. Cattani Mar 2025

Thorium Ore Dust Research Applicable To Mineral Sands Industry Workers, Gregory S. Hewson, M. I. Ralph, M. Cattani

Research outputs 2022 to 2026

Historically, radiation exposure to mineral sands workers arose primarily from intake of thorium associated with monazite dust generated in mineral separation plants. Research investigations in the 1990s provided greater insight into the characteristics of inhaled thorium ore dust and bioassay studies inferred that some workers had accumulated significant lung burdens of thorium. Recent changes to biokinetic models have increased the radiation dose assessed to arise from thorium intake, raising questions on the appropriateness of current assumptions used in exposure assessment and feasibility of further bioassay research. Past radiation research undertaken in the Western Australian mineral sands industry is summarised and …

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Interdisciplinary Research Among Tourism, Public Health, And Global Health: A Promising Stream Focusing On Populations With Suboptimal Health Status, Jun Wen, Fangli Hu, Danni Zheng, Haifeng Hou, Wei Wang Mar 2025

Interdisciplinary Research Among Tourism, Public Health, And Global Health: A Promising Stream Focusing On Populations With Suboptimal Health Status, Jun Wen, Fangli Hu, Danni Zheng, Haifeng Hou, Wei Wang

Research outputs 2022 to 2026

Research suggests that approximately 75% of the world's population suffers from suboptimal health status, meaning these individuals often feel unwell but have no clearly diagnosable conditions. Suboptimal health status, originating from traditional Chinese medicine, signifies an intermediate state between health and disease. Tourism has been deemed beneficial for personal health and general well-being. More recently, it has been proposed as a non-pharmacological intervention for individuals with dementia, given its potential contributions to health promotion and disease prevention/treatment. Yet, the tourism literature has paid scarce attention to populations with suboptimal health status, even as an aging society becomes inevitable. This paper …

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Sex Differences In Grip Strength From Birth To Age 16: A Meta-Analysis, James L. Nuzzo Mar 2025

Sex Differences In Grip Strength From Birth To Age 16: A Meta-Analysis, James L. Nuzzo

Research outputs 2022 to 2026

In 1985, Thomas and French published results of a meta-analysis that examined sex differences in grip strength in children 5 years of age and older. Their analysis included results from only four studies, and no update has been published. The purpose of the current study was to use meta-analysis to examine sex differences in grip strength from birth to age 16. The analysis included 808 effects from 169 studies conducted in 45 countries between 1961 and 2023. The total sample was 353,676 (178,588 boys, 175,088 girls). From birth to 16 years of age, grip strength was consistently greater in boys …

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Biophysical Response Of A Coastal Woodland To Extreme Water Deficit During A Year Of Record-Breaking Heat, Caitlin E. Moore, Sally E. Thompson, Jason Beringer, Wesley Cooper, Simone Gelsinari, Hoang Long Nguyen, Huanhuan Wang, Qiaoyun Xie, Richard P. Silberstein Mar 2025

Biophysical Response Of A Coastal Woodland To Extreme Water Deficit During A Year Of Record-Breaking Heat, Caitlin E. Moore, Sally E. Thompson, Jason Beringer, Wesley Cooper, Simone Gelsinari, Hoang Long Nguyen, Huanhuan Wang, Qiaoyun Xie, Richard P. Silberstein

Research outputs 2022 to 2026

Global terrestrial and ocean surface temperatures continue to reach record levels, resulting in heat waves, drought, and prolonged heat stress experienced by vegetation in many regions. In 2023-2024, coastal terrestrial ecosystems in Western Australia were particularly affected, experiencing their driest and hottest summer since observations began in the early 1900s. Banksia woodlands are a threatened ecological community in this region that are endangered by the cumulative impacts of climate change, clearing and changing groundwater regimes, the last of which is strongly influenced by the dual use of groundwater resources by the ecosystem and by the ∼2 million people in the …

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Exposures Of Western Australian Wildland Firefighters: Insights From Real-Time Monitoring, Kiam Padamsey, Adelle Liebenberg, Ruth Wallace, Jacques Oosthuizen Mar 2025

Exposures Of Western Australian Wildland Firefighters: Insights From Real-Time Monitoring, Kiam Padamsey, Adelle Liebenberg, Ruth Wallace, Jacques Oosthuizen

Research outputs 2022 to 2026

Background: Inhalation of bushfire smoke is a risk to the health of firefighters, particularly across Australia where bushfires are becoming more frequent and intense. This study aimed to use real-time monitoring devices to assess the particle and chemical exposures of Western Australian firefighters during prescribed burns and bushfires. Methods: Participants included volunteer bushfire firefighters and forestry firefighters. Real-time gas and particulate monitors were used across nine unique fire events to evaluate the occupational exposures of firefighters. Findings: Firefighters (n = 40) were exposed to high concentrations of particulate matter (PM), particularly PM10, with concentrations varying widely between individuals and events. …

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Genomic Characterisation Of The Relationship And Causal Links Between Vascular Calcification, Alzheimer’S Disease, And Cognitive Traits, Emmanuel O. Adewuyi, Simon M. Laws Mar 2025

Genomic Characterisation Of The Relationship And Causal Links Between Vascular Calcification, Alzheimer’S Disease, And Cognitive Traits, Emmanuel O. Adewuyi, Simon M. Laws

Research outputs 2022 to 2026

Background/Objectives: Observational studies suggest a link between vascular calcification and dementia or cognitive decline, but the evidence is conflicting, and the underlying mechanisms are unclear. Here, we investigate the shared genetic and causal relationships of vascular calcification—coronary artery calcification (CAC) and abdominal aortic calcification (AAC)—with Alzheimer’s disease (AD), and five cognitive traits. Methods: We analyse large-scale genome-wide association studies (GWAS) summary statistics, using well-regarded methods, including linkage disequilibrium score regression (LDSC), Mendelian randomisation (MR), pairwise GWAS (GWAS-PW), and gene-based association analysis. Results: Our findings reveal a nominally significant positive genome-wide genetic correlation between CAC and AD, which becomes non-significant after …

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Pathways To Chronic Disease Detection And Prediction: Mapping The Potential Of Machine Learning To The Pathophysiological Processes While Navigating Ethical Challenges, Ebenezer Afrifa-Yamoah, Eric Adua, Emmanuel Peprah-Yamoah, Enoch O. Anto, Victor Opoku-Yamoah, Emmanuel Acheampong, Michael J. Macartney, Rashid Hashmi Mar 2025

Pathways To Chronic Disease Detection And Prediction: Mapping The Potential Of Machine Learning To The Pathophysiological Processes While Navigating Ethical Challenges, Ebenezer Afrifa-Yamoah, Eric Adua, Emmanuel Peprah-Yamoah, Enoch O. Anto, Victor Opoku-Yamoah, Emmanuel Acheampong, Michael J. Macartney, Rashid Hashmi

Research outputs 2022 to 2026

Chronic diseases such as heart disease, cancer, and diabetes are leading drivers of mortality worldwide, underscoring the need for improved efforts around early detection and prediction. The pathophysiology and management of chronic diseases have benefitted from emerging fields in molecular biology like genomics, transcriptomics, proteomics, glycomics, and lipidomics. The complex biomarker and mechanistic data from these “omics” studies present analytical and interpretive challenges, especially for traditional statistical methods. Machine learning (ML) techniques offer considerable promise in unlocking new pathways for data-driven chronic disease risk assessment and prognosis. This review provides a comprehensive overview of state-of-the-art applications of ML algorithms for …

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Assessment Of Physiological & Biochemical Changes In Tomato Plants Treated With Plant Growth Promoting Rhizobacteria (Pgpr) Under Salinity Stress Conditions, Mohammed Sharif Alhosani Mar 2025

Assessment Of Physiological & Biochemical Changes In Tomato Plants Treated With Plant Growth Promoting Rhizobacteria (Pgpr) Under Salinity Stress Conditions, Mohammed Sharif Alhosani

Theses

Plant growth-promoting rhizobacteria (PGPRs) can effectively mitigate the negative impacts of salt stress on plants. The present study reports the isolation of PGPRs from a high-saline mangrove ecosystem in Abu Dhabi, with isolates exhibiting ACC deaminase (ACCD) activity to reduce stress-induced ethylene, along with additional plant growth-promoting (PGP) characteristics, including phosphate solubilization (P+). A total of 57 salt-tolerant bacterial isolates from the mangrove rhizosphere were initially screened for ACCD and P+ activities. Of these, 24 isolates tested positive for PGP characteristics and were further evaluated for their ability to enhance salt stress tolerance in tomato seedlings. In addition, seedlings inoculated …

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Liability Considerations For Marine Carbon Dioxide Removal Projects In U.S. Waters, Korey Silverman-Roati, Martin Lockman, Romany M. Webb Mar 2025

Liability Considerations For Marine Carbon Dioxide Removal Projects In U.S. Waters, Korey Silverman-Roati, Martin Lockman, Romany M. Webb

Sabin Center for Climate Change Law

Scientists have identified a number of land- and ocean-based carbon dioxide removal (“CDR”) approaches. Ocean-based approaches, also known as marine CDR, hold great potential for uptake and sequestration of carbon dioxide. However, controlled field trials in the ocean are needed to better understand the efficacy and impacts of several marine CDR approaches. Legal considerations will have a major bearing on whether, when, where, and how such field research goes forward. Previous studies have analyzed the potential international and domestic legal framework applicable to marine CDR research and subsequent deployment (if that is ultimately deemed appropriate). However, relatively little research has …

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Advances In Targeted And Chemotherapeutic Strategies For Colorectal Cancer: Current Insights And Future Directions, Salique Hassan Shaham, Puneet Vij, Manish Tripathi Mar 2025

Advances In Targeted And Chemotherapeutic Strategies For Colorectal Cancer: Current Insights And Future Directions, Salique Hassan Shaham, Puneet Vij, Manish Tripathi

School of Medicine Publications

Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, necessitating the continuous evolution of therapeutic approaches. Despite advancements in early detection and localized treatments, metastatic colorectal cancer (mCRC) poses significant challenges due to low survival rates and resistance to conventional therapies. This review highlights the current landscape of CRC treatment, focusing on chemotherapy and targeted therapies. Chemotherapeutic agents, including 5-fluorouracil, irinotecan, and oxaliplatin, have significantly improved survival but face limitations such as systemic toxicity and resistance. Targeted therapies, leveraging mechanisms like VEGF, EGFR, and Hedgehog pathway inhibition, offer promising alternatives, minimizing damage to healthy tissues while …

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Lshe/Cse And Srh Linkages: The Role Of Health Care Providers, Population Council Mar 2025

Lshe/Cse And Srh Linkages: The Role Of Health Care Providers, Population Council

Sexual and Reproductive Health, Rights, and Choices

No abstract provided.

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Efficacy Of Immersive Virtual Reality Gameplay In Environmental Attitude Change: The Case Of Abandoned Offshore Oil Platforms In Santa Barbara, Arun Prasad Srinivasan Manoharan Mar 2025

Efficacy Of Immersive Virtual Reality Gameplay In Environmental Attitude Change: The Case Of Abandoned Offshore Oil Platforms In Santa Barbara, Arun Prasad Srinivasan Manoharan

Master's Theses

Public perception plays an important role in shaping conservation policies and decisions, especially in contested environmental spaces. Offshore oil platforms, historically viewed as environmental hazards, have been found to serve as marine habitats that support diverse marine life. However, public perception remains largely negative, influenced by concerns over pollution from past oil spill accidents. Traditional environmental education methods, such as lectures and documentaries, often fail to engage audiences effectively or shift entrenched opinions. This study explores the efficacy of immersive Virtual Reality (VR) gameplay in changing environmental attitudes, specifically in the context of abandoned offshore oil platforms in Santa Barbara, …

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Defining Transcriptional Signatures Of Susceptibility For Ceftriaxone And Tetracycline In Neisseria Gonorrhoeae, Sanjana Logu Mar 2025

Defining Transcriptional Signatures Of Susceptibility For Ceftriaxone And Tetracycline In Neisseria Gonorrhoeae, Sanjana Logu

Theses

Resistance to antibiotics is the ability of bacteria to survive in spite of the administration of drugs designated to kill them; and overuse of antibiotics over the past decades has led to a vast increase in resistance. Most infections are treated empirically, such that patients are given a recommended course of antibiotics, however these infections are not frequently tested for their antimicrobial susceptibility profiles (i.e., tested only in the case of treatment failure). This can lead to inappropriate prescription which can increase the selective pressure of antibiotics on other bacterial members of our microbiomes. Susceptibility testing would help determine the …

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Machine Learning For Complex Networks: Generalization, Fairness, And Model Selection In Graph-Based Systems Across Social And Biological Domains, Angelina Brilliantova Mar 2025

Machine Learning For Complex Networks: Generalization, Fairness, And Model Selection In Graph-Based Systems Across Social And Biological Domains, Angelina Brilliantova

Theses

Networks serve as a fundamental framework for modeling complex systems across diverse domains, from biological interactions and social structures to economic markets and information networks. Machine learning has significantly enhanced the ability to extract meaningful patterns from graph-based systems, improving predictive accuracy in applications such as market design, recommendation systems, and biomedical discovery. Despite the successes of machine learning in analyzing complex networks, several fundamental challenges remain. A major issue is the reliance on simplistic models for theoretical analysis, simulation, and benchmarking, which often fail to capture the complexities of real-world networked systems. Many theoretical studies focus on oversimplified generative …

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Event-Based Camera Simulation And Neural Network Processing For Autonomous Aerial Refueling, Stephanie C. Hanson Mar 2025

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 …

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Hyperparameter Tuning For Robust Autonomous Vehicle Vision, Nico D. De Ros Mar 2025

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 …

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Island Nation Duress: Simulating Passive Peer-To-Peer Bluetooth Communication During Disaster Relief, Jason K. Medeiros Mar 2025

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.

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Improving Zero Shot Learning By Linking Multi-Label Cnns With Llms, Michael A. Wegner Mar 2025

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, …

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Class Imbalance: A Landscape Of Classification Models, Joshua L. Edmonds Mar 2025

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.

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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 Mar 2025

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 + …

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