Digital Commons Network^™

Disrupting Data Cartels By Editing Wikipedia, Eun Hee Han, Amanda Levendowski, Jonah Perlin

Georgetown Law Faculty Publications and Other Works

Legal discourse in the digital public square is driven by memoranda, motions, briefs, contracts, legislation, testimony, and judicial opinions. And as lawyers are taught from their first day of law school, the strength of these genres of legal communication is built on authority. But finding that authority often depends on a duopoly of for-profit legal research resources: Westlaw and Lexis. Although contemporary legal practice relies on these databases, they are far from ethically neutral. Not only are these “data cartels” expensive-- creating significant access to justice challenges--they also are controlled by parent companies that profit by providing information to Immigration …

When The Digital Services Act Goes Global, Anupam Chander

Georgetown Law Faculty Publications and Other Works

The European Union’s Digital Services Act (“DSA”) establishes a “meta law”—public regulation of the private regulation conducted by internet platforms. The DSA offers an attempt to balance private technological power with democratic oversight. The DSA will likely prove an attractive model for other governments to assert control over massive global internet platforms. What happens when other countries borrow its approach, in an instantiation of the vaunted Brussels Effect? This Article evaluates the DSA using the “Putin Test”—asking what if an authoritarian leader were given the powers granted by the DSA? The Article argues that authoritarians might well exploit various mechanisms …

Race And Entrepreneurship: Reclaiming Narratives, Priya Baskaran, Alicia E. Plerhoples

Georgetown Law Faculty Publications and Other Works

This essay makes the case for engaging in counter-narratives and inclusive storytelling within the transactional clinic curriculum. The authors leverage lessons from Critical Race Theory to amplify the voices and experiences of underrepresented entrepreneurs and marginalized communities in both clinic seminar and selected casework. In doing so, we challenge hegemonic narratives of entrepreneurship and expose our law students to the presence and impact of interlocking systems of subordination that minimize the existence and contributions of entrepreneurs of color. We challenge our law students and ourselves to become more creative and thoughtful lawyers to a more inclusive and diverse set of …

Abila Keynote Address: Beyond International Law? A Dangerous Time, Gregory Shaffer

Georgetown Law Faculty Publications and Other Works

In this keynote address for the 2023 International Law Weekend conference of the American Branch of the International Law Association (ABILA), I first address the dangers of the conference theme “beyond international law” at a time when challenges to international law and institutions increase and aim to constrain international law’s normative force. We have been here before. The world today recalls that of the interwar period, a time of growing economic insecurity and inequality that helped to catalyze the rise of authoritarian movements. During that period, Carl Schmitt was a leading legal theorist who eventually became a member of the …

A Logical Proof That The Common Good, Not Economics, Underlies Copyright, Michelle M. Wu

Georgetown Law Faculty Publications and Other Works

Copyright experts endlessly debate its purpose: economic or common good. Both sides cite to judicial language backing their interpretations, and the frequency and cost of litigation between those representing the two interests have noticeably increased over recent years.

This article aims at a simpler way to resolve the dispute, by taking a step back and starting with the definition of a government. The government of a democratic republic, particularly one described as “of the people, by the people, and for the people,” has a single purpose: to address the common concerns of its people.

The following philosophical argument is a …

Modeling Of Transport In Anatomic Respiratory Airways: Applications In Targeted Drug Delivery And Airborne Pathogenic Transmissions, Mohammad Mehedi Hasan Akash

Electronic Theses and Dissertations

This thesis aims to explore the potential of improving the efficacy of drugs for treatment of viral infections by targeting the nasopharynx, which is commonly the first site of infection for many viral pathogens. Currently, intranasal sprays are used, but the standard protocol (“Current Use” or CU) results in suboptimal drug deposition at the nasopharynx. To address this issue, an “Improved Use” or, IU protocol has been proposed, which involves pointing the spray bottle at a shallower angle and aiming slightly towards the cheeks. The IU delivery is also robust to perturbations in spray direction, which highlights the practical utility …

Method Of Validating Satellite Surface Reflectance Product Using Empirical Line Method, Meghraj Kc

Electronic Theses and Dissertations

Atmospherically corrected surface reflectance (SR) products are used for reliable monitoring of land surfaces and are the standard products of Landsat sensors. Due to increased demand for SR products, a need exists to verify that the L2C2 (Level-2 Collection-2) SR products are precise and accurate. The Level-2 Collection 2 (L2C2) SR Product is processed satellite imagery data that corrects for atmospheric effects such as absorption and scattering, providing a more accurate representation of Earth's surface. The validation of SR products using ground truth measurement is essential. This study aims to develop and evaluate a validation methodology for satellite SR products. …

Validation Of Expanded Trend-To-Trend Cross-Calibration Technique And Its Application To Global Scale, Ramita Shah

Electronic Theses and Dissertations

The expanded Trend-to-Trend (T2T) cross-calibration technique has the potential to calibrate two sensors in much less time and provides trends on daily assessment basis. The trend obtained from the expanded technique aids in evaluating the differences between satellite sensors. Therefore, this technique was validated with several trusted cross-calibration techniques to evaluate its accuracy. Initially, the expanded T2T technique was validated with three independent RadcaTS RRV, DIMITRI-PICS, and APICS models, and results show a 1% average difference with other models over all bands. Further, this technique was validated with other SDSU techniques to calibrate the newly launched satellite Landsat 9 with …

Identification And Quantification Of Novel Antimicrobials, Hazera Khatun Koly

Electronic Theses and Dissertations

No abstract provided.

Development Of Corn Kernel-Based Biocomposite Films For Food Packaging Applications, Swastika Bera

Electronic Theses and Dissertations

Most of the current and active food packaging resources and methods are nonbiodegradable and nonrenewable therefore harmful to the environment. Due to this, alternate sources of food packaging materials are in high demand. In this study, a bio-composite film has been developed, with Corn kernel powder as fiber reinforcement which is mixed with gelatin, and lignin two biopolymers as the matrix. The effect of Corn Kernel (CK) reinforcement on the Gelatin/Lignin (G/L) matrix on mechanical and barrier properties has been studied. CK has shown great potential as reinforcement to natural polymer, gelatin, and lignin (G/L) for food packaging applications as …

Computer Vision/Ai To Better Understand The Performance Of Agricultural Sprayer Nozzles, Praneel Acharya

Electronic Theses and Dissertations

No abstract provided.

Effect Of Lighter (273 Kg) And Heavier (356 Kg) Initial Weight On Growth Performance Of Single-Source, Pre-Conditioned Beef Steers Fed A Single Growing-Finishing Diet, Thomas C. Norman

Electronic Theses and Dissertations

The objective of the study was to determine the influence that initial BW has on growth performance responses, efficiency of dietary net energy (NE) utilization, and carcass traits in feedlot steers. Light- and heavy-weight Charolais×Red Angus steers (n = 70) selected from a larger single-source group were used in a 209-d growing-finishing feedlot experiment at the Ruminant Nutrition Center, in Brookings, SD. On d-0 and d-1 weight and hip height (HH) measurements were collected for allotment purposes; the initial experimental weight was the average between d 0 and d 1 BW. Steers were assigned to two groups based on initial …

Cytotoxicity Profiling And Apoptotic Potential Of Carboxylic Acids-Based Deep Eutectic Solvents On Mammalian Cell Lines, Mavis Korankye

Electronic Theses and Dissertations

In the past few years, there has been a notable surge in demand for high-purity medicines due to the prevalence of chronic diseases such as cancer, hypertension, diabetes, cardiovascular diseases, and neurological disorders. Considerable efforts have been dedicated to discovering new solvents that are environmentally friendly and cost-effective that are well-suited for industrial applications. Deep eutectic solvents have gained recognition as a highly promising alternative to organic solvents and ionic liquids due to their easily sourced raw materials, simple and cheap preparation methods, high tunability, low volatility, low toxicity, and biodegradability. The industrial utilization of deep eutectic solvents (DESs) is …

Nio Nanoparticles-Decorated Carbon Fiber Cloth As Lithiophilic Host Material For Stable Lithium Metal Batteries, Sarwar Ahmed

Electronic Theses and Dissertations

Lithium metal is considered the Holy Grail for the anode for next-generation rechargeable batteries. Lithium metal has the highest theoretical capacity and lowest anode potential with respect to the standard hydrogen electrode (SHE). However, its commercialization is hindered by uncontrolled dendrite growth, weak solid electrolyte interphase (SEI), and low coulombic efficiency. The dendrite formation leads to a short circuit between the anode and cathode, which creates a dangerous safety issue. Several host materials and artificial SEI layers have been developed to suppress these issues. However, the effectiveness of these solutions is limited. More research is needed to develop more efficient …

Indigenous Toxin Affects Cell Viability, While An Artificial Proteolytic Queueing Causes The Upregulation Of Specific Genes, Mohammed Salahuddin

Electronic Theses and Dissertations

Studying bacterial physiology is crucial to understand the fundamental mechanisms that govern bacterial growth, survival, and adaptation. This thesis combines two chapters investigating bacterial physiology by studying important cellular processes like bacterial toxin-antitoxin systems and proteolytic pathways. The first chapter involves studying bacterial toxin-antitoxin systems to understand the regulation and function of hypothetical toxin-antitoxin (TA) systems of bacteria and the effects of these TA systems on bacterial growth and survival. The emergence of these genetic modules in bacterial research and the unrevealing of some of their important roles in cell physiology in recent years has drawn much attention in scientific …

Evaluation Of Welded And Polished Stainless-Steel Surfaces In Supporting Sporeformer Biofilms In Dairy Plants, Taghreed Almalki

Electronic Theses and Dissertations

No abstract provided.

Nitrogen Plasma Treatment On Triple Cation Mixed Halide Perovskite Surface For High Efficiency Perovskite Solar Cells, Buddhi Sagar Lamsal

Electronic Theses and Dissertations

No abstract provided.

Automatic Data-Driven Partitioned Modeling Of Power System Dynamics With Smart Power Electronic Inverters, Sunil Subedi

Electronic Theses and Dissertations

The primary aim of this dissertation is to provide an efficient statistical modeling and simulation technique for extracting the dynamics of converter-dominated power systems (CDPS) with the device level details using the least amount of computation time while maintaining a reasonable level of accuracy. These test cases are intended for use by power system researchers that need to develop test cases that can perform accurate dynamic analysis on a high integration of inverter-based resources (IBRs) for stability analysis while speeding up simulation time and reducing computational complexity. Additionally, utilities/grid operators must properly plan, operate, and dispatch. Case studies that can …

Simulating The Impact Of Emissions Control On Economic Productivity Using Particle Systems And Puff Dispersion Model, Najam Khan

Electronic Theses and Dissertations

A simulation platform is developed for quantifying the change in productivity of an economy under passive and active emission control mechanisms. The program uses object-oriented programming to code a collection of objects resembling typical stakeholders in an economy. These objects include firms, markets, transportation hubs, and boids which are distributed over a 2D surface. Firms are connected using a modified Prim’s Minimum spanning tree algorithm, followed by implementation of an all-pair shortest path Floyd Warshall algorithm for navigation purposes. Firms use a non-linear production function for transformation of land, labor, and capital inputs to finished product. A GA-Vehicle Routing Problem …

Electrochemical Innovations: Advancements In Lithium Metal Batteries & Supercapacitor For Energy Storage, Jyotshna Pokharel

Electronic Theses and Dissertations

Constructing an artificial solid electrolyte interphase (SEI) on lithium metal electrode is a promising approach to address the rampant growth of dangerous lithium morphologies (dendritic and dead Li0) and low Coulombic efficiency that plague development of lithium metal batteries. But it is not known how the Li+ transfer behavior in the SEI is coupled with mechanical properties. We demonstrate here a facile and scalable solution-processed approach to form a Li3N-rich SEI with a phase-pure crystalline structure that minimizes the diffusion energy barrier of Li+ across the SEI. Compared with a polycrystalline Li3N SEI obtained from conventional approaches, our phase-pure/single crystalline …

Response Of Bed Shear Stress In Open-Channel Flow To A Sudden Change In Bed Roughness, Muhammad Farrukh Jamil

Electronic Theses and Dissertations

The estimation of bed shear stress plays a pivotal role in understanding the complexities of flow dynamics in both natural and engineered channels. The commonly employed log law formula offers a mechanism to compute the bed shear stress in open channel flows. However, its applicability in flow transition remains relatively unexplored. In this thesis, an in-depth investigation into the behavior of the velocity profiles and bed shear stress during the transition from Rough to Smooth (RTS) and Smooth to Rough (STR) beds is undertaken. Experiments were conducted on smooth-to-rough (STR) and rough-to-smooth (RTS) transitions in an open channel flume under …

The Role Of Cadherins And Ryk On Metastasis And Invasion In Triple Negative Breast Cancer Cell Model: Hs578t/Hs578ts(I)8, Ibis Iser

Electronic Theses and Dissertations

Breast cancer is a major cause of death among women in European and North American countries, even with improved methods for diagnosis and therapy. The mortality of breast cancer is mainly due to the migration of the primary tumor to distinct sites in the body and is very common in triple negative breast cancer (TNBC). This type of breast cancer affects younger woman and has a high recurrence rate. Unfortunately, TNBC is extremely difficult to control because of the absence of specific targets for treatment. Therefore, our research aim is to discover new therapeutic targets and identify novel approaches for …

Surface Reflectance Product Generated From Mss Using Smacaa And Validation With Respect To Ledaps, Rahul Kumar Shah

Electronic Theses and Dissertations

Landsat MSS 1-5 sensors were the only sensors that provided systematic global multispectral space-based observation of the Earth’s surface from early 1970s, but they lack Level-2 Collection 2 surface reflectance (L2C2 SR) products. This research proposes a method of generating L2C2 SR products for the MSS 1-5 sensors going back to the 1970s. The primary motivation behind this project was to validate the SMACAA model ability to operate on MSS sensors. SMACAA is based on the inversion of MODTRAN and the automated application of SDSU meteorological database, and does not require a SWIR band. First, the performance of SMACAA model …

Effects Of Agricultural Chemicals On Native Plants Of The Northern Great Plains, Gabrielle Bolwerk

Electronic Theses and Dissertations

Agricultural chemicals are ubiquitous on the Northern Great Plains landscape and have negative impacts on non-target plant communities, even at small doses. Northern Great Plains grassland plant communities may experience herbicide drift from agricultural fields or be subject to livestock pharmaceuticals in grazing lands. My research objective was to evaluate if and how native plants are affected by agricultural chemical presence at different concentrations. In Chapter 2, I studied the effect of different concentrations of three common agricultural herbicides (2,4-D, atrazine, and trifluralin) on the germination, emergence, and growth of native plant species of the Northern Great Plains. I performed …

Ecological Impacts Of Anthropogenic Chemicals On Non-Target Species And The Role Of Plant Diversity In Ecosystem Restoration And Resilience, Shiva Torabian

Electronic Theses and Dissertations

Understanding ecosystem processes in rangelands is of paramount importance for ensuring global food security, given their pivotal role in sustaining forage and livestock production. Central to this understanding are fundamental processes such as nutrient cycling, decomposition, and plant biomass dynamics. However, the use of anthropogenic chemicals in agricultural practices has the potential to exert significant influence on these critical ecosystem functions. A pivotal factor in this context is the plant diversity inherent to these rangeland ecosystems. Plant diversity not only provides essential ecosystem functions but also enhances them with the capacity to withstand and recover from perturbations. Ecosystems characterized by …

Biological Control Of Bacterial Leaf Streak Of Wheat Using Antagonistic Rhizobacteria, Ashley Frederickson

Electronic Theses and Dissertations

Wheat (Triticum aestivum L.) is one of the world’s most valuable crops, and the primary food grain produced in the United States. A major disease in wheat production is Bacterial Leaf Streak (BLS) caused by the gram-negative bacterium Xanthomonas translucens pv. undulosa (Xtu). Very few management strategies are available to growers to manage this disease, as common chemicals do not provide adequate control. A number of studies have been conducted on biological control using Rhizospheric bacteria for the control of various plant diseases, but limited data is available on the efficacy of biological control using Rhizospheric bacteria for controlling Bacterial …

Interval Analysis Method For The Uncertainty And Sensitivity Characterization In Transmission Line Systems, Ping Yuan, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Uncertainty in electronic fabrication process could cause serious yield issues and stability concerns. Hence, identifying the resultant range caused by the uncertainty in the system is a critical topic in modern EDA design process. Monte Carlo method is considered as a golden standard but with many drawbacks. In the paper, we propose to use the interval analysis (IA) to analyze the signal integrity and power integrity problems in transmission line (TL) systems. Using the interval representing the uncertainty range of parameters in the system, the uncertainty range of the system can be derived by the derived analytical expression. It is …

That’S Why We Drink: Effects Of Undergraduate Stress During The Covid-19 Pandemic On Alcohol Behaviors, Skylar St Clair

UNF Graduate Theses and Dissertations

Previous literature has shown that undergraduates’ alcohol use is often affected by their perceived stress, especially when there is a significant disruption to their typical college lifestyle. The primary goal of the study was to demonstrate that there is a relationship between perceived undergraduate stress and alcohol behaviors mediated by anxiety during the COVID-19 pandemic. The secondary goal was to determine if there were any significant moderating variables on the aforementioned mediation, specifically characteristics of personality. A self-report Qualtrics survey was conducted to assess perceived stress, anxiety, alcohol use, and personality domains along the Big Five Inventory for 244 students. …

Investigations Into The Electronic And Magnetic Properties Of (Crps4)N Layers, Alexandria R. Alcantara

UNF Graduate Theses and Dissertations

2D magnetic semiconductors have become of interest due to their magneto-optical effects in lower dimensionality. More specifically, CrPS4 has gained renewed attention due to its A-type AFM order and air stability prompting analysis and stability studies in its layered forms for use in scalable technology such as spintronic and optoelectronic devices. In this study, we benchmark our approach using the SCAN meta-GGA functional used without U-parameterization on bulk CrPS4 to demonstrate the accuracy of our methodology to use as tools to go beyond current CrPS4 theoretical studies. We examine the 2D electronic nature and optical spectrum for use in experimental …

Breast Density Classification Using Deep Learning, Conrad Thomas Testagrose

UNF Graduate Theses and Dissertations

Breast density screenings are an accepted means to determine a patient's predisposed risk of breast cancer development. Although the direct correlation is not fully understood, breast cancer risk increases with higher levels of mammographic breast density. Radiologists visually assess a patient's breast density using mammogram images and assign a density score based on four breast density categories outlined by the Breast Imaging and Reporting Data Systems (BI-RADS). There have been efforts to develop automated tools that assist radiologists with increasing workloads and to help reduce the intra- and inter-rater variability between radiologists. In this thesis, I explored two deep-learning-based approaches …