Digital Commons Network^™

Surprises In The Skies: Resolving The Circuit Split On How Courts Should Determine Whether An "Accident" Is "Unexpected Or Unusual" Under The Montreal Convention, Ashley Tang

Washington Law Review

Article 17 of both the Montreal Convention and its predecessor, the Warsaw Convention, imposes liability onto air carriers for certain injuries and damages from “accidents” incurred by passengers during international air carriage. However, neither Convention defines the term “accident.” While the United States Supreme Court opined that, for the purposes of Article 17, an air carrier’s liability “arises only if a passenger’s injury is caused by an unexpected or unusual event or happening that is external to the passenger,” it did not explain what standards lower courts should employ to discern whether an event is “unexpected or unusual.” In 2004, …

Infrastructure Damage Detection Leveraging Advanced Ai Techniques, Yin Chao Wu

Civil Engineering Dissertations - Archive

The dissertation explores into structural damage identification and prediction through the application of machine learning. Firstly, it enhances impact echo delamination mapping by incorporating two signal image parameters—signal duration and starting time after zero-crossing. The research also explores the efficiency of machine learning concerning image resolution and the number of images. This approach refines the evaluation of bridge damage in field tests. Two crucial signal parameters are investigated: signal duration and signal starting time after the zero-crossing point. These parameters exert a direct impact on the frequency domain, a crucial metric in impact echo analysis. This metric discerns signals reflected …

Condition Assessment Of Reinforced Concrete Sanitary Sewer Pipelines Using Probabilistic Methods And Advanced Inspection Tools, Moein Ebrahimi

Civil Engineering Dissertations - Archive

Large sanitary sewer pipelines (SSPs) are the backbone of modern infrastructure. They carry wastewater from smaller lines to treatment plans; therefore, they are critical for public health and safety. According to the ASCE report card published in 2021, the condition rate of sanitary sewage networks in the United States is D+ (i.e., poor) (ASCE 2021). Therefore, frequent inspections of SSPs are crucial for performing a proper life cycle management strategy. New inspection technologies such as LiDAR have recently been employed for rapid condition assessment of SSPs. Because of the precision of LiDAR inspection data, it can not only measure hydraulic …

Probabilistic Multivariate Time Series Forecasting And Robust Uncertainty Quantification With Applications In Electricity Price Prediction, Jie Han

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Electricity price forecasting (EPF) is a crucial task for market participants seeking informed decisions in day-ahead electricity markets. The increasing penetration of stochastic renewable energy and the deregulation of electricity markets pose challenges to electricity price forecasting. Given the dependence of electricity prices on stochastic factors such as weather conditions, market dynamics, and customer behaviors, deterministic forecasting methods offer limited insight into the potential future states of energy prices in highly stochastic markets. In this study, a transformer-based electricity price forecasting (TDEPF) model was developed, utilizing a two-step training process and demonstrating superior performance compared to typical RNN models. Subsequently, …

A Qualitative Study Of Redemptive Intelligence And The Leader’S Opportunity To Grow Performance Through Failure, Jonathan Eastman

Dissertations

This is a qualitative study about the redemptive intelligence of successful leaders and their opportunity to grow their personal and team performance through failure. Leaders who have a strong ability to leverage failures for improved performance for self and team, exhibit high levels of redemptive intelligence. Leaders who have a weak ability to leverage failures for improved performance for self and team, exhibit low levels of redemptive intelligence. After failure happens there are one of three paths that everyone will follow. They are first, a path to improved performance than what was experienced before the failure. Second, a return to …

A Previously Unknown Late Fifteenth-Century Latin Translation Of A Portion Of John Chrysostom’S Homilies On John Interpolated Into An Incomplete Incunable, Chris L. Nighman

History Faculty Publications

No abstract provided.

Morphological And Metabolic Criteria Of Covid-19 Vaccine Associated Axillary Nodes On 18-Fluorodeouxyglucose Pet/Ct Imaging In Breast Cancer Patients, Nosheen Fatima, Unaiza Zaman, Areeba Zaman, Sidra Zaman, Rabia Tehseen, Maseeh Uz Zaman

Department of Radiology

Background: In the current era vaccine-associated lymphadenopathy (VAL) is not an uncommon presentation on 18F-FDG PET/CT examinations in patients inoculated with Coronavirus disease 2019 (COVID-19) vaccination. In this study, we are presenting data of VAL on 18F-FDG PET/CT regarding its prevalence, temporal response to vaccination and imaging characteristics of VAL.
Methods: Seventy-eight (78) consecutive vaccinated breast cancer (BC) patients who had 18FDG PET/CT were retrospectively analyzed. All patients had COVID-19 vaccine shots in contralateral arms and none in breast cancer site axilla (BSA). In 35 patients 18FDG avid nodes were found in vaccine site axilla (VSA). In 25 patients 18FDG …

Decentralized Machine Learning On Blockchain: Developing A Federated Learning Based System, Nikhil Sridhar

Master's Theses

Traditional Machine Learning (ML) methods usually rely on a central server to per-
form ML tasks. However, these methods have problems like security risks, data
storage issues, and high computational demands. Federated Learning (FL), on the
other hand, spreads out the ML process. It trains models on local devices and then
combines them centrally. While FL improves computing and customization, it still
faces the same challenges as centralized ML in security and data storage.

This thesis introduces a new approach combining Federated Learning and Decen-
tralized Machine Learning (DML), which operates on an Ethereum Virtual Machine
(EVM) compatible blockchain. The …

Discourse Analysis In Engineering: Investigating Patterns In Brainstorming Conversations, Aimee Chiem

Master's Theses

Brainstorming is a critical part of the engineering design process and can have a significant impact on the outcomes of the overall project. While research has studied the outcomes of brainstorming and the ideas that teams generate, the role that language and conversation play in these activities is still relatively underexplored. Observing the different ways people use specific types of discourse can reveal how conversations can affect brainstorming itself. To that end, this research aims to answer the following questions:

1) What are the different kinds of discursive moves that students make during engineering brainstorming activities?

2) What patterns or …

A Numerical Modeling Analysis Of The San Francisco Bay And Sacramento-San Joaquin Delta: Riverine, Tidal, And Wind Processes, Drake A. Abrahamsson

Master's Theses

The primary motivation of this study is to analyze the 1D-2DH hydrodynamic model of the San Francisco Bay and Sacramento-San Joaquin Delta (SFBD) outlined in Nederhoff et al. (2021). I compared model water level data to 70 tidal records from the National Oceanic and Atmospheric Association (NOAA), the United States Geological Survey (USGS), the California Data Exchange Center (CDEC), and from local municipalities throughout the Bay Area to investigate how the model captures water levels and tidal constituent amplitudes. While the Nederhoff et al (2017) model analyzed an extended time period from 1950-2019, I analyzed M2 amplitude and tidal water …

Advancing Winter Weather Adas: Tire Track Identification And Road Snow Coverage Estimation Using Deep Learning And Sensor Integration, Parth Kadav

Masters Theses

No abstract provided.

Strong Shapes: The Case For Black Vorticism, Cooper Casale

The Journal of Wyndham Lewis Studies

No abstract provided.

Timothy Wientzen, Automatic: Literary Modernism And The Politics Of Reflex, Matthew Purvis

The Journal of Wyndham Lewis Studies

No abstract provided.

Advanced Jet Impingement Cooling For Power Electronics, Reece Whitt

Graduate Theses and Dissertations

Convective heat transfer by jet impingement cooling offers a suitable solution for high heat flux applications. Compared to techniques that rely on bulk conduction in series with convection, direct liquid impingement reduces the thermal resistance between power device hot spots and the coolant. Using additive manufacturing processes, location specific jets can be integrated into high voltage power electronics systems. Custom manifolds can be designed to reduce pressure drop, while simultaneously fine-tuning the thermal management efficiency. Although capable of highly efficient cooling, static impingement devices must be designed for the worst-case cooling requirements for a transient power profile, possibly resulting in …

A Multidisciplinary Approach To Resolving The End-Guadalupian Extinction, Christopher R. Fielding, Scott E. Bryan, James L. Crowley, Tracy D. Frank, Michael T. Hren, Chris Mays, Stephen Mcloughlin, Jun Shen, Peter J. Wagner, Arne Winguth, Cornelia Winguth

Geosciences Faculty Publications and Presentations

The transition from the middle to late Permian (Guadalupian–Lopingian) is claimed to record one or more extinction events that rival the ‘Big Five’ in terms of depletion of biological diversity and reorganization of ecosystem structure. Yet many questions remain as to whether the events recorded in separate regions were synchronous, causally related, or were of a magnitude rivaling other major crises in Earth's history. In this paper, we survey some major unresolved issues related to the Guadalupian–Lopingian transition and offer a multidisciplinary approach to advance understanding of this under-appreciated biotic crisis by utilizing records in Southern Hemisphere high-palaeolatitude settings. We …

Aclp - Comments To The Fcc Re Net Neutrality - December 2023, New York Law School

Reports and Resources

No abstract provided.

Class Action Settlements As Contracts?, Howard M. Erichson, Ethan J. Leib

North Carolina Law Review

No abstract provided.

Skirting State Action: Section 1983 Challenges To Education And Charter Management Organizations After Peltier V. Charter Day School, Inc., Jack Salt

North Carolina Law Review

No abstract provided.

Green Bonds, Empty Promises, Quinn Curtis, W. Mark C. Weidemaier, Mitu Gulati

North Carolina Law Review

No abstract provided.

Naturally Bicarbonated Water Supplementation Does Not Improve Anaerobic Cycling Performance Or Blood Gas Parameters In Active Men And Women, Anthony M. Hagele, Johnathan L. Boring, Jessica M. Moon, Kyle L. Sunderland, Petey W. Mumford, Chad M. Kerksick

Faculty Scholarship

The completion of high-intensity exercise results in robust perturbations to physiologic homeostasis, challenging the body’s natural buffering systems to mitigate the accumulation of metabolic by-products. Supplementation with bicarbonate has previously been used to offset metabolic acidosis, leading to improvements in anaerobic exercise performance. Purpose: The purpose of this study was to investigate the presence of ergogenic properties in naturally occurring low-dose bicarbonated water and their effects on anaerobic cycling performance and blood gas kinetics in recreationally active men and women. Methods: Thirty-nine healthy, recreationally active men and women (28.1 ± 8.0 years, 169.8 ± 11.7 cm, 68.9 ± 10.8 kg, …

The Psychology Of Censorship, Honorable Jennifer M. Kinsley

Case Western Reserve Law Review

No abstract provided.

When Tobacco-Free Products Are Tobacco Products: Major Questions Behind Fda Regulation Of Synthetic Nicotine E-Cigarettes, Daniel Moysaenko

Case Western Reserve Law Review

No abstract provided.

Partisanship In Loan Pricing, Ramona Dagostino, Janet Gao, Pengfei Ma

Research Collection Lee Kong Chian School Of Business

Does partisanship influence the way investors price financial assets? Using voter registration data of bankers originating large corporate loans, we show that bankers whose party differs from that of the U.S. President charge 7% higher loan spreads than other bankers. This effect holds regardless of borrowers’ partisanship, and becomes stronger for politically active bankers and when partisan media exhibit greater disagreement. Bankers do not match disproportionately with co-partisan borrowers but they lead syndicates more frequently with co-partisan bankers. Our results are not driven by bank or borrower fundamentals, but suggest that investor optimism, driven by political alignment, shapes asset prices.

How Commonality Persists? (Through Investors' Sentiment And Attention), Chyng Wen Tee, Raja Velu, Zhaoque Zhou

Research Collection Lee Kong Chian School Of Business

Studies on commonality generally attribute the variation in asset returns to the variation in order flows. In this research study, we show that order flows do not predict asset returns, rather their relationship have been static over time. Thus we model both returns and the order flows as endogenous variables, and use investors' sentiment and attention as exogenous factors via a reduced-rank regression. We provide empirical evidence to demonstrate that cross-sectional commonality in attention (sentiment) is linearly (nonlinearly) associated with both returns and order flows at the intraday level, while the sentiment and attention measures themselvesexhibit a nonlinear mutual relationship, …

Are Bond Returns Predictable With Real-Time Macro Data?, Dashan Huang, Fuwei Jiang, Kunpeng Li, Guoshi Tong, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

We investigate the predictability of bond returns using real-time macro variables and consider the possibility of a nonlinear predictive relationship and the presence of weak factors. To address these issues, we propose a scaled sufficient forecasting (sSUFF) method and analyze its asymptotic properties. Using both the existing and the new method, we find empirically that real-time macro variables have significant forecasting power both in-sample and out-of-sample. Moreover, they generate sizable economic values, and their predictability is not spanned by the yield curve. We also observe that the forecasted bond returns are countercyclical, and the magnitude of predictability is stronger during …

Dropped Objects Recognition In Offshore Operations Based On Computer Vision And Artificial Intelligence, Xiaochuan Yu

LSU New Orleans Theses and Dissertations

We are more interested in recovering and salvaging containers which may be loaded with either valuable or harmful substances. Therefore, we designed various container models to account for different loading conditions and then exported them to a 3D printer. Six small container models were dropped into the trailer pool at the University of New Orleans (UNO) as planned at angles of 0°, 45°, and 90°.

After collecting all the videos using a high-definition camera set outside the tank, we perform pre-processing tasks on the videos in preparation for model training. The two-phase angle classification method uses a pretrained ResNet50 model …

Goostly Coumforte In God: The Rhetoric Of Mysticism In The Cloud Of Unknowing, Clinton M. Sensat

LSU New Orleans Theses and Dissertations

In this paper I analyze the rhetoric of the Cloud of Unknowing by an anonymous fourteenth-century English Catholic mystic. First, I situate the Cloud in its tradition, both spiritual and rhetorical. Then, after analyzing the linguistic arts employed, I engage in a sustained examination of the Cloud’s rhetorical technique. Ultimately, I conclude that the author of the Cloud succeeds in his rhetorical goals, even if some of his strategies are less successful than he perhaps believes, and that he does so through the use of concrete language and an appeal to the ethos of Christian monastic friendship.

Wavelet Compression As An Observational Operator In Data Assimilation Systems For Sea Surface Temperature, Bradley J. Sciacca

LSU New Orleans Theses and Dissertations

The ocean remains severely under-observed, in part due to its sheer size. Containing nearly billion of water with most of the subsurface being invisible because water is extremely difficult to penetrate using electromagnetic radiation, as is typically used by satellite measuring instruments. For this reason, most observations of the ocean have very low spatial-temporal coverage to get a broad capture of the ocean’s features. However, recent “dense but patchy” data have increased the availability of high-resolution – low spatial coverage observations. These novel data sets have motivated research into multi-scale data assimilation methods. Here, we demonstrate a new assimilation approach …

Termites, Bully Boys, And The Architect Of Search & Destroy: An Assessment Of General William E. Depuy As Macv J-3 And Commander Of The 1st Infantry Division, Republic Of Vietnam, 1964-67, Adam D. Coste

LSU New Orleans Theses and Dissertations

As Assistant Chief of Staff for Operations (J-3) at MACV from 1964-1966, General William DePuy served as the main architect of the campaign strategy implemented by General William Westmoreland in fighting both VC and NVA units during the earliest and most critical years of the Vietnam War. Following his role at MACV, DePuy assumed command of the 1^st Infantry Division in March 1966 where he exhibited a distinct command philosophy and transformed the organizational culture of the “Big Red One” through a series of directives and tactical innovations. Most historians are critical of Westmoreland’s chosen strategy as well as …

Motion Simulation And Risk Assessment Of Dropped Objects In Offshore Operations, Hanqi Yu

LSU New Orleans Theses and Dissertations

Subsea pipelines are a cost-effective and reliable way to transport hydrocarbons in offshore oil and gas development. However, dropped objects can pose hazards and cause damage to pipelines. This dissertation briefly introduces the hazards and hidden dangers caused by dropped containers, discusses motion simulation methods for different object shapes, and reviews risk assessment procedures for handling dropped objects in offshore operations. Ongoing research at the University of New Orleans' towing tank on dropped container models is also discussed. Using ANSYS Fluent, we simulate trajectories of container models and calculate relevant hydrodynamic coefficients for different dropped angles. We then apply risk …