Digital Commons Network^™

The Lawlessness Of Sackett V. Epa, William W. Buzbee

Georgetown Law Faculty Publications and Other Works

When the Supreme Court speaks on a disputed statutory interpretation question, its words and edicts undoubtedly are the final judicial word, binding lower courts and the executive branch. Its majority opinions are the law. But the Court’s opinions can nonetheless be assessed for how well they hew to fundamental elements of respect for the rule of law. In particular, law-respecting versus law-neglecting or lawless judicial work by the Court can be assessed in the statutory interpretation, regulatory, and separation of power realms against the following key criteria, which in turn are based on some basic rule of law tenets: analysis …

Fears, Faith, And Facts In Environmental Law, William W. Buzbee

Georgetown Law Faculty Publications and Other Works

Environmental law has long been shaped by both the particular nature of environmental harms and by the actors and institutions that cause such harms or can address them. This nation’s environmental statutes remain far from perfect, and a comprehensive law tailored to the challenges of climate change is still elusive. Nonetheless, America’s environmental laws provide lofty, express protective purposes and findings about reasons for their enactment. They also clearly state health and environmental goals, provide tailored criteria for action, and utilize procedures and diverse regulatory tools that reflect nuanced choices.

But the news is far from good. Despite the ambitious …

Cultural Property: “Progressive Property In Action”, J. Peter Byrne

Georgetown Law Faculty Publications and Other Works

Cultural property law fulfills many of the normative and jurisprudential goals of progressive property theory. Cultural property limits the normal prerogatives of owners in order to give legal substance to the interests of the public or of specially protected non-owners. It recognizes that preservation of and access to heritage resources advance public values such as cultural enrichment and community identity. The proliferation of cultural property laws and their acceptance by courts has occurred despite a resurgent property fundamentalism embraced by the Supreme Court. Thus, this Article seeks to explicate the category of cultural property, its fulfillment of progressive theory, and …

Large Constellations Of Small Satellites: The Good, The Bad, The Ugly, And The Illegal, David A. Koplow

Georgetown Law Faculty Publications and Other Works

The most exciting and far-reaching contemporary developments regarding human activities in outer space arise from the recent drastic reductions in the costs of building, launching, and operating satellites, and from the concomitant sudden emergence of large constellations of small, inexpensive, privately-owned spacecraft. These satellites--devoted to highly remunerative functions such as communications (bringing high-speed, affordable internet to underserved constituencies), remote sensing (facilitating land use planning, weather forecasting, and emergency search and rescue), and support for military operations (in Ukraine and elsewhere)--already number in the thousands and will soon reach the tens of thousands.

But in addition to generating billions of …

Loper Bright In A Larger Interpretive Perspective: Is This Justice Scalia’S Court Anymore?, Victoria Frances Nourse

Georgetown Law Faculty Publications and Other Works

Loper Bright Enterprises v. Raimondo has left administrative lawyers agog: Could the Supreme Court really reverse the “goliath” known as Chevron deference? For those who study the Court’s interpretive landscape more broadly, however, Chevron reversal may not be as unexpected as administrative lawyers believe. This Article will look at Loper Bright by linking three notable interpretive developments: the major questions doctrine, Chevron skepticism, and strict constructions of statutory text. These developments share the same risk: the Court is imposing a new “clarity tax” on both Congress and administrative agencies. Having said this, others’ grave worries about changes in Chevron are …

Longevity In Afrikaner Cattle: A Survival Analysis, Allison M. Bot Steffl

Electronic Theses and Dissertations

The Afrikaner breed of cattle is indigenous to South Africa and due to their hardiness was once the most popular breed amongst farmers. The objectives for this study were to: (1) estimate environmental effects (age at first calving, season) and (2) genetic variance affecting longevity in Afrikaner cattle using survival analysis and a Weibull model and (3) evaluate the effect of the Infusion Project on longevity utilizing a Cox model. For the first objective, age at first calving impacted longevity as younger age at first calving was associated with decreased longevity. Season of birth and year of birth also impacted …

Assessing The Performance And Cost Effectiveness Of Rainwater Harvesting For High Tunnel Production Across Climates In The Continental United States, Mustafa Aydogdu

Electronic Theses and Dissertations

Several factors such as global climate change, population growth, urban and agricultural expansion, rising water demand, unequal water distribution, hydro-political conditions, declining water quality, rainwater scarcity, and temperature-induced drought contribute to water resource degradation. Rainwater harvesting (RWH) emerges as a sustainable solution, involving the collection and storage of rainwater for agriculture, livestock, and domestic use. RWH reduces reliance on municipal water, mitigates climate change impacts, and decreases runoff. Conventional RWH systems in the US vary in effectiveness. Increasing storage and water use enhances RWH effectiveness, improving stormwater runoff and reducing potable water use. High tunnel production of vegetable crops has …

Lidar Remote Sensing And The Monitoring Of Brazilian Amazon Forest Structure: Tackling Issues And Finding New Possibilities, Pedro Valle De Carvalho E Oliveira

Electronic Theses and Dissertations

The Amazon is the largest tropical forest in the world and around 60% of it is in Brazil. The amount of carbon stored in the region uncertain, the impacts of land use and climate changes are unknown, and what drives the dynamic of the forest structure is still under a heated debate. Optical remote sensing has been used for a long time to assist the monitoring of the Brazilian Amazon. However, optical remote sensing only allows a comprehensive study from the top of the forest canopy. In contrast, lidar remote sensing of forests can produce robust information regarding the canopy …

Computational Fluid Dynamics Simulation Of Battery Thermal Management System At The Pack Level In Electric Vehicles, Yifan Chen

Electronic Theses and Dissertations

Electric vehicles (EVs) rely heavily on lithium batteries due to their high energy density, despite their tendency to generate excess heat during operation. Managing this heat is crucial for safety and performance. Battery Thermal Management Systems (BTMS) are essential for maintaining optimal battery temperature and mitigating risks like short circuits. This article examines various cooling methods for BTMS, including air and liquid cooling, and discusses the selection of cooling media and layout configurations within battery packs (BPs). It also highlights the importance of combining multiple cooling methods for efficient heat dissipation. Emerging technologies like Phase Change Materials (PCMs) show promise …

A Memory Efficient Deep Recurrent Q-Learning Approach For Autonomous Wildfire Surveillance, Jeremy A. Cantor

UNF Graduate Theses and Dissertations

Previous literature demonstrates that autonomous UAVs (unmanned aerial vehicles) have the po- tential to be utilized for wildfire surveillance. This advanced technology empowers firefighters by providing them with critical information, thereby facilitating more informed decision-making processes. This thesis applies deep Q-learning techniques to the problem of control policy design under the objective that the UAVs collectively identify the maximum number of locations that are under fire, assuming the UAVs can share their observations. The prohibitively large state space underlying the control policy motivates a neural network approximation, but prior work used only convolutional layers to extract spatial fire information from …

Investigating The Role Of Tesserae In Energy Absorption In Shark Cartilage, Molly Dobrow

UNF Graduate Theses and Dissertations

Unlike mammals, shark endoskeletons are composed of cartilage, which is less stiff compared to bone. Despite this structural disadvantage, sharks have risen to become apex predators, with reported maximum posterior bite force estimates approximating 5914 N in bull sharks. Shark jaws are estimated to undergo high cycle loading within the organism’s lifecycle without evidence of failure. Fatigue resistance may relate to mineral distribution within a component of the endoskeletal system – tesserae. Tesserae are thin, roughly hexagonal tiles composed of calcium phosphate hydroxyapatite (HA) crystals and grow by accretion to eventually surround the hyaline cartilage core. Though tesserae dimensions are …

Enhancing Comfort And Sustainability: Analyzing The Impact Of Natural Ventilation And Eco-Friendly Materials On Indoor Temperature Reduction, Hyo Won Lee

UNF Graduate Theses and Dissertations

As the world grapples with issues such as increasing energy consumption, climate change, and environmental degradation, the need for sustainable solutions is becoming more and more urgent. In this context, passive cooling has emerged as one of the promising approaches to achieve energy efficiency in various sectors. This research study the basic concept of passive cooling to new buildings to identify synergies in energy savings when reducing temperature inside buildings and applying eco-friendly materials, and to explore potential benefits for promoting sustainable development. By analyzing existing research, case studies, and technological advancements, this study seeks to highlight the feasibility and …

Transformer-Enabled Deep Reinforcement Learning For Coverage Path Planning, Daniel B. Tiu

UNF Graduate Theses and Dissertations

Coverage path planning (CPP) is the problem of covering all points in an environment and is a well-researched topic in robotics due to its sheer practical relevance. This paper investigates such an offline CPP problem where the primary objective is to minimize the path length to achieve complete coverage. Furthermore, the literature suggests that taking turns leads to a higher energy use than going straight. To this end, we design a novel objective function that aims to minimize the number of turns as well. We have proposed a deep reinforcement learning (DRL)-based framework that uses a Transformer model. Unlike state-of-the-art …

The Effects Of Human-Driven Land Use Change On American Alligator (Alligator Mississippiensis) Nesting Patterns, Madison Wallwork

UNF Graduate Theses and Dissertations

American alligators (Alligator mississippiensis) have received little scientific attention in the context of human-driven land use change. The goal of my study is to investigate how land use change may be affecting the spatial ecology of alligator nesting in Florida. Areas directly impacted by humans are growing rapidly in Florida, yet the impacts of this land use change on alligator populations and reproduction are largely unknown. Alligators are ecosystem engineers and apex predators, and their nests often double as nests for other reptilian species. Therefore, it is imperative that we understand how human-driven land use change may be impacting …

A Clustering-Based Approached To Analyze Impacts Of Digital Divide On Undercounting Issues In Census In Florida, Partha Protim Datta

UNF Graduate Theses and Dissertations

According to the US Census Bureau 2020 data, Florida is one of the six states where the population was undercounted. The census in the US is conducted every ten years and plays a pivotal role in shaping government representation, resource allocation, policy making and federal assistance distribution. Consequently, undercounting of population impacts demographic equality, potentially leading to inequitable distribution of resources. The state of Florida will lose billions of dollars by the end of the decade due to this undercounting issue. So, it is an important task to find the proper reason and sources of undercounting in Florida. The US …

Explainable Automated Inconsistency Detection In Biomedical And Health Literature, Prajwol Lamichhane

UNF Graduate Theses and Dissertations

Given the exponential growth of scientific information online, researchers often face the daunting task of detecting contradictory statements on crucial health topics. This work develops a comprehensive pipeline for automated contradiction detection that integrates an Information Retrieval (IR) system, machine learning classifiers, and Explainable AI (XAI). The Information Retrieval system is tailored for biomedical data and comprises a datastore, syntactic, and semantic components. Users can input queries, initiating a pipeline that identifies top documents through syntactic analysis and refines results via semantic examination for relevant research claims. Employing a diverse range of Large Language Models such as pre-trained Distil-BERT, BioBERT, …

Anomaly Detection Approaches Of Energy Storage Systems Using Kalman Filter And Machine Learning Techniques, Phadungsak Tubuntoeng

UNF Graduate Theses and Dissertations

The increasing prevalence of cyber-attacks poses a significant concern, particularly within critical infrastructures like the power system. Such attacks have the potential to cause substantial impacts on essential services, economic stability, and national security. Energy storage systems (ESS) are integral components of the power grid and are particularly vulnerable to cyber threats. These vulnerabilities can be exploited through various means, including two-way communication, web portals, and remote access.

Given the critical nature of ESS, the ability to detect and mitigate malicious cyber-attacks is imperative. Various methods can be employed for cyber-attack detection, including signature-based, anomaly-based, and behavior-based approaches. In this …

Process, Structure, & Property Investigation Of Gallium-Based Metallic Alloys Processed At Room Temperature, Jennifer E. Ruliffson

UNF Graduate Theses and Dissertations

Metallic and intermetallic alloys are important in engineering, necessitating a thorough comprehension of their structure, processing, and properties. Amalgams are a class of alloy which are synthesized by various methods to produce diverse properties. Gallium-based amalgams, particularly gallium eutectic alloys, have low melting points, which allow for applications in dentistry and temperature sensitive electronics. This thesis investigates the process-structure-property relationships of gallium-based amalgams mixed with copper. Phases, microstructure, and diffusion processes are investigated using XRD and SEM. Adhesion strength and thermal properties are then correlated to these as well as process steps. This study contributes to advancing the understanding and …

Processing Of Niti Sma For High Reflectivity Applications, Nicholas Dean Asbury

UNF Graduate Theses and Dissertations

Nickel Titanium (NiTi) is a shape memory alloy (SMA) that is capable of being deformed and subsequently returned to the original shape through heating. This unique property makes NiTi a prime material for potential applications in the aerospace industry. As manufacturing capabilities advance, the ability to produce and implement advanced materials, such as shape memory alloys like NiTi, becomes more feasible. One such application being studied is deployable mirrors for imaging satellites. Reflector and mirror surfaces for imaging in the visible and infra-red range of the light spectrum require low surface roughness across the largest allowable area for the collection …

Laboratory Measurements Of Wave Transmission Through Oyster-Based Low Crested Breakwaters, Michael Andrew Roster

UNF Graduate Theses and Dissertations

Pervious Oyster Shell Habitats (POSH) are novel living shoreline components that were recently developed and deployed along several shorelines in northeast Florida. POSH units are designed to provide a breakwater using only recycled eastern oyster shell and Portland cement. However, the hydrodynamic performance of these unique structures had never been tested, so it was unclear how they affected wave energy. During this study, a series of laboratory experiments were conducted to compare wave attenuation from POSH units to wave attenuation from geometrically similar and commercially available Reef Balls^TM (specifically, the OysterBreak series of units). Experiments included a range of …

Can A Phycosphere Associated Bacterium Be Used As A Biological Control For Floating Algal Mats?, Aubrey C. Patterson Holsworth

UNF Graduate Theses and Dissertations

Abstract

Freshwater harmful algal blooms (HABs) are a global water quality issue. Algae, especially cyanobacteria, are integrally associated with complex microbial assemblages, which cycle nutrients, provide microenvironments, breakdown potentially harmful molecules, etc. However, these same microbial consortia are competitors or even inhibitors to algae in these systems. One potential biological control is Rhodospirillum rubrum, a Gram- proteobacterium. To evaluate its capacity for HAB mitigation, experimental mesocosms were inoculated with a native assortment of algae and R. rubrum and grown for 2-months. Relative Fluorescence Units (RFU), Ash Free Dry Mass, and eukaryotic (23S rDNA) metabarcoding were conducted to estimate algal …

Implementation Of Algorithms For Sorting By Strip Swaps Using Alternating Cycle Graphs, Harsh S. Bhakharia

UNF Graduate Theses and Dissertations

Challenges in computational biology, such as genome rearrangement, and applications in optical character recognition, like zoning techniques, often require solving optimization problems. These involve reordering scrambled sequences of numbers into a sequential arrangement known as the identity permutation.

Rearranging any given permutation into the identity permutation with the minimum number of specific operations related to strips gives rise to various combinatorial optimization scenarios. Operations such as strip moves, transpositions, reversals, and block interchanges have been extensively researched.

This thesis builds on the foundational work of Roy et al., targeting the refinement of their cycle graph algorithm for sorting by strip …

A Method For Investigation Of Small-Scale Morphologic Change Around Low Crested Oyster-Based Structures, Makaya S. Malila

UNF Graduate Theses and Dissertations

In recent years, a novel method for shoreline stabilization, Pervious Oyster Shell Habitat (POSH) units, comprised of recycled eastern oyster shells, has been developed. These mound-shaped structures have been deployed along several shoreline sites in Northeast Florida. This case study sought to develop and implement a method for investigation of small-scale morphologic change in the vicinity of these structures using smartphone LiDAR technology, surveying instruments, and 2D/3D mapping software. Results suggest that the POSH units are helping to mitigate erosion by trapping sediments around them. Moving forward, it may be possible to adapt the methodology used here to assess morphologic …

Spatial Equity In Accessing Critical Facilities During Hurricanes, Pooya Komeilian

UNF Graduate Theses and Dissertations

Florida encounters multiple natural disasters every year, making evacuation a critical mitigation plan when severe impacts are predicted. Evacuation is a complex procedure that involves everything from household decision-making to large-scale traffic network analysis. It also addresses logistical issues, such as transporting impacted people to shelters or medical centers. Access to shelters, gas stations, and lodgings is of utmost importance, as numerous studies and surveys have shown that some people prefer not to evacuate, even if they perceive the disaster risk to be very high.

Based on this, the present study follows two phases to address gaps in evacuation studies. …

Integrating Therapy Into Play: Stand-On Ride-On For A Child With Cerebral Palsy, Kira Flanagan

UNF Graduate Theses and Dissertations

This study focuses on the development of an adaptive ride-on toy specifically designed for a 2.5-year-old child with spastic diplegic cerebral palsy. As a feasibility study, the primary objective of this innovative device is to enhance motor function, foster autonomy, and improve the overall quality of life for the child. The Power Mobility Device (PMD) integrates actuation and steering modifications, and a harness mechanism tailored to meet the child's unique needs. Comprehensive assessments of the child's spatiotemporal gait characteristics were conducted before and after a three-month usage period. The results reveal significant improvements in the child's ability to control dynamic …

Factors Influencing Household Travel Behavior And Trip Distances In Florida: A Rural Vs. Urban Perspective, Kadeem Lafargue

UNF Graduate Theses and Dissertations

This thesis investigates disparities in travel behaviors between rural and urban populations in the United States, with a specific focus on Florida. Leveraging data from the 2017 National Household Travel Survey (NHTS), the study examines demographic factors such as age, income, and household size, and their influence on travel patterns. By employing statistical methods including Poisson and negative binomial regression models, the research explores two key variables: the frequency of trips made per day and the average trip distance in miles. These models are particularly effective in handling overdispersion in count data, ensuring a robust analysis of travel behaviors across …

Large Language Models For Multimodal User Interaction In A Virtual Environment, Ahmed A. Sayed

UNF Graduate Theses and Dissertations

Virtual Reality (VR) is increasingly popular, but many barriers exist for individuals with little experience in coding, 3D modeling, or creating their own virtual experiences. The current tools used for content creation are often viewed as complex or frustrating, and they exhibit a steep learning curve. This problem presents an opportunity to develop tools incorporating Natural User Interfaces that better support end users. One such possible tool to assist users is Large Language Models (LLM), which can, extract a user's intention through speech or text. We posit how using LLMs can better support novice and expert developers alike, and using …

Media Haze Classification In Retinal Images Using Deep Learning, Jonathan O'Berry

UNF Graduate Theses and Dissertations

Media Haze (MH) is a condition that affects an individual’s quality of life by affecting their eyes. Current practice is to detect MH by manually examining retinal fundus (retinal) images. The analysis of images being used as the prevalent technique for identifying the MH condition strongly suggests that automation of this process may be possible. In recent years, machine learning, specifically computer vision, has allowed for the automation of tasks relating to image analysis. This ability to automate has also recently been shown in the medical field for some eye conditions and diseases. This thesis centers around the problem of …

Influence Of Heat Treatment And Shielding Gas Environment On The Very High Cycle Fatigue Behavior Of 17-4 Precipitation Hardened Stainless Steel, Jade Welsh

UNF Graduate Theses and Dissertations

Additive manufacturing (AM) for stainless steel components has proved useful in a variety of industries ranging from aerospace to biomedical engineering. Many of these components are subject to very high cycle fatigue (VHCF) loading and must have tailored mechanical properties to ensure failures do not occur before a service life is reached. Testing the fatigue strength AM materials exposed to VHCF loading is paramount to compare with the expected life cycles of their wrought counterparts. In this thesis, AM 17-4 precipitation hardened (PH) stainless steel (SS) were fabricated using laser powder bed fusion (L-PBF) technique, while the wrought 17-4 PH …

Robotic Gas Source Localization And Distribution Mapping Via Deep Reinforcement Learning, Iliya Kulbaka

UNF Graduate Theses and Dissertations

This research aims to advance the fields of Gas Source Localization (GSL) and Gas Distribution Mapping (GDM) by developing deep reinforcement learning (DRL) methodologies suitable for complex, real-world environments. GSL and GDM are crucial for applications such as environmental monitoring, hazardous material detection, and search-and-rescue missions, where safe and efficient exploration is essential. Traditional methods often fall short in dynamic settings influenced by factors like wind and obstacles. To address these limitations, this study proposes novel neural network architectures and learning frameworks for adaptive exploration and mapping, integrating Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) layers, and Deep Q-Networks …