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Asymptotic Formula For Scattering Problems Related To Thin Metasurfaces, Zachary Jermain

LSU Doctoral Dissertations

The goal of this work is to develop an asymptotic formula for the behavior of a scattered electromagnetic field in the presence of a thin metamaterial known as a metasurface. By using a carefully chosen Green’s function and the single and double layer potentials we analyze the perturbed scattering problem in the presence of the metamaterial and a background scattering problem. By using Lippman-Schwinger type representation formulas for the two fields we develop the asymptotic formula for the perturbed field. From here we prove the asymptotic formula holds up to a specific error term based on the size of the …

Topics In Photonic Quantum Technology: Polarization Entanglement Dynamics In Optical Fibers And Low-Light Imaging., Pratik J. Barge

LSU Doctoral Dissertations

Recent advances in quantum photonics promise transformative impacts on computing, communication, sensing, and imaging. This thesis explores two areas in photonic quantum technology: polarization entanglement dynamics in optical fibers and low-light imaging. Optical fibers are the most suitable medium for photonic qubits and long-distance entanglement distribution is a critical requirement to realize quantum technologies. We study the decay of polarization-entanglement of the Bell state photons propagating through imperfect optical fibers with spatially fluctuating refractive index. Furthermore, to extend the distribution distance, we propose the use of dynamical decoupling in the optical fiber using half waveplates and show that significant improvement …

Riesz Particle Markov Chain Monte Carlo Methods, Xiongming Dai

LSU Doctoral Dissertations

Markov chain Monte Carlo (MCMC) methods are simulations that explore complex statistical distributions, while bypassing the cumbersome requirement of a specific analytical expression for the target. This stochastic exploration of an uncertain parameter space comes at the expense of a large number of ``burn-in'' samples, and the computational complexity leads to the curse of dimensionality. Although at the exploration level, some methods have been proposed to accelerate the convergence of the algorithm, such as tempering, Hamiltonian Monte Carlo, Rao-redwellization, and scalable methods for better performance, they cannot avoid the stochastic nature of this exploration. We develop algorithms for the energy …

Entanglement From Rotating Black Holes In Thermal Baths, Ivan Agullo, Anthony J. Brady, Adrià Delhom, Dimitrios Kranas

Faculty Publications

We extend previous efforts to quantify the entanglement generated in Hawking's evaporation process by including rotation and thermal environments (e.g. the cosmic microwave background). Both extensions are needed to describe real black holes in our Universe. Leveraging techniques from Gaussian quantum information, we find that the black hole's ergoregion is an active source of quantum entanglement and that thermal environments drastically degrade entanglement generation. Our predictions are suitable to be tested in the lab using analog platforms and also provide tools to assess the fate of quantum information for black holes in more generic settings.

Elementary Science Teachers' Experiences: A Case Study On The Use Of Science+Cyber Curriculum, Laurie Salvail

LSU Doctoral Dissertations

The field of science education in the United States has undergone a major reform since 2015. A little more than twelve years ago, work began on constructing a framework for elementary, middle, and high school science education. This framework emphasized the shift from science being merely a memorization of facts to experiences that include science and engineering practices applied through crosscutting concepts and focused on core ideas in the field of science. With new standards teachers also have to overcome a) not having adequate time available to devote to science instruction b) lack of updated instructional materials aligned to the …

Impacts Of Morphological Changes On Water Residence Times In River Deltas, Md. Muzahidul Islam

LSU Master's Theses

Coastal river deltas possess substantial socioeconomic and ecological importance and are expected to encounter increasing risks because of global climate change. The long-term sustainability of many deltaic systems is at risk due to a mix of natural and human-induced factors. Deltas are characterized by their continuous reconfiguration of channels and floodplains due to allogenic and autogenic processes. Sediment supply and composition, sea level rise, vegetation, river discharge, and human development may affect the morphological evolution of river deltas. The timescales and patterns of hydrological transport within a river delta are important indicators of ecological function. One such metric, the water …

Evaluation Of Dotd’S Aggregate Sources Friction Using Laboratory And Accelerated Testing, Sudhir Bharati

LSU Master's Theses

Roadway safety is of utmost importance to the state transportation agencies. One of the major factors of roadway safety that agencies have control over is pavement friction which is affected by aggregate and mixture type. The Louisiana Department of Transportation and Development (DOTD) currently uses Polished Stone Values (PSV) obtained from the British Pendulum Device to rate its aggregates. These ratings determine the applicability of aggregates for various projects. However, the ratings are inconsistent, posing significant safety and financial risks. The first part of the thesis compares the currently adopted British Wheel Polisher-based Standard Practice for the Accelerated Polishing of …

Investigations And Characterization Of Loud Transient Noise In Advanced Ligo Detectors, Shania Nichols

LSU Doctoral Dissertations

In the era of gravitational wave (GW) astronomy, the detection of cosmic events such as black hole and neutron star mergers has become routine due to the Advanced LIGO (aLIGO) detectors. However, the sensitivity of these detectors also makes them susceptible to loud transient noise, which can obscure GW signals. This thesis investigates loud transient noise with a Signal-to-Noise Ratio (SNR) greater than 100, focusing particularly on the most extreme transients with SNR exceeding 1000.

We begin by analyzing the impact of loud transient noise on the binary neutron star (BNS) range of aLIGO detectors across observation runs O2, O3, …

Higher Order Operator Splitting Schemes With Complex Coefficients And Applications, Arun Banjara

LSU Doctoral Dissertations

The goal of this dissertation is to apply the concept of Lie generators for linear semigroups induced by nonlinear flows, originally developed by J. R. Dorroh and J. W. Neuberger in the 1990’s [15], to approximate solutions of initial value problems like

x′(t) = F(x(t)), x(0) = x₀, (1)

where F = (F₁,··· ,F_N), and F_i : R^N ⊃ Ω -> R^N. The method, sometimes referred to as ``Bernard Koopman’s Global Linearization Method,” traces its origins back to the works of Sophus Lie in the 1890’s [30], Gerhard Kowalewski in …

Development And Operationalizing Of The Learning Experience Design Process To Create Integrated Stem Interventions, Vanessa Begat

LSU Doctoral Dissertations

Globally, the demand for people prepared to enter Science, Technology, Engineering and Math (STEM) careers is increasing. To help fill this demand, many formal and informal STEM educational interventions have been implemented in the K-12 domain. However, due to the lack of a clearly defined framework for documenting the nature and scope of the intervention (National Research Council, 2014), the interventions vary greatly in their success, sustainability, and replicability. This research is grounded in Educational Design Research and uses the principle of Learning Experience Design (LXD) to develop a framework for thoughtfully designing and documenting a STEM intervention. This framework …

Mdf-Dta: A Multi-Dimensional Fusion Approach For Drug-Target Binding Affinity Prediction, Amit Ranjan, Adam Bess, Chris Alvin, Supratik Mukhopadhyay

Faculty Publications

Drug-target affinity (DTA) prediction is an important task in the early stages of drug discovery. Traditional biological approaches are time-consuming, effort-consuming, and resource-consuming due to the large size of genomic and chemical spaces. Computational approaches using machine learning have emerged to narrow down the drug candidate search space. However, most of these prediction models focus on single feature encoding of drugs and targets, ignoring the importance of integrating different dimensions of these features. We propose a deep learning-based approach called Multi-Dimensional Fusion for Drug Target Affinity Prediction (MDF-DTA) incorporating different dimensional features. Our model fuses 1D, 2D, and 3D representations …

Design Of Long-Distance Entanglement Distribution Protocols For Quantum Networks, Stav Haldar

LSU Doctoral Dissertations

Future quantum technologies such as quantum communication, quantum sensing, and distributed quantum computation, will rely on networks of shared entanglement between spatially separated nodes. Distributing entanglement between these nodes, especially over long distances, currently remains a challenge, due to limitations resulting from the fragility of quantum systems, such as photon losses, non-ideal measurements, and quantum memories with short coherence times. In the absence of full-scale fault-tolerant quantum error correction, which can in principle overcome these limitations, we should understand the extent to which we can circumvent these limitations. In this work, we provide improved protocols and policies for entanglement distribution …

Holomorphic Functional Calculus Approach To The Characteristic Function Of Quantum Observables, Andreas Boukas

Journal of Stochastic Analysis

No abstract provided.

Hd-Tdcs Over Left Supplementary Motor Area Differentially Modulated Neural Correlates Of Motor Planning For Speech Vs. Limb Movement, Fatemeh Tabari, Celeste Patron, Hope Cryer, Karim Johari

Faculty Publications

The supplementary motor area (SMA) is implicated in planning, execution, and control of speech production and limb movement. The SMA is among putative generators of pre-movement EEG activity which is thought to be neural markers of motor planning. In neurological conditions such as Parkinson's disease, abnormal pre-movement neural activity within the SMA has been reported during speech production and limb movement. Therefore, this region can be a potential target for non-invasive brain stimulation for both speech and limb movement. The present study took an initial step in examining the application of high-definition transcranial direct current stimulation (HD-tDCS) over the left …

Application Of Near-Infrared Spectroscopy For Hay Evaluation At Different Degrees Of Sample Preparation, Eun Chan Jeong, Kun Jun Han, Farhad Ahmadi, Yan Fen Li, Li Li Wang, Young Sang Yu, Jong Geun Kim

Faculty Publications

Objective: A study was conducted to quantify the performance differences of the near-infrared spectroscopy (NIRS) calibration models developed with different degrees of hay sample preparations. Methods: A total of 227 imported alfalfa (Medicago sativa L.) and another 360 imported timothy (Phleum pratense L.) hay samples were used to develop calibration models for nutrient value parameters such as moisture, neutral detergent fiber, acid detergent fiber, crude protein, and in vitro dry matter digestibility. Spectral data of hay samples prepared by milling into 1-mm particle size or unground were separately regressed against the wet chemistry results of the abovementioned parameters. Results: The …

Secondary Production And Biomass In Mussel Assemblages Relate To Species Richness And Stream Size But Not Life History, Jonathan W. Lopez, Carla L. Atkinson, Angela K. Burrow, Garrett W. Hopper, Wendell R. Haag

Faculty Publications

Increases in species richness with habitat area (species–area relationship, or SAR) and increases in ecosystem function with species richness (biodiversity–ecosystem functioning, or BEF) are widely studied ecological patterns. Incorporating functional trait analysis into assemblage datasets may help clarify interpretations of SAR and BEF relationships in natural ecological systems. For example, life history theory can be used to make predictions about what species are most important in generating ecosystem function given a certain set of environmental conditions. We used quantitative assemblage data for freshwater mussels at nine sites in western Alabama, USA, to test for SAR and BEF relationships. At each …

An Algorithm To Simulate Missing Data For Mixed Meal Tolerance Test Response Curves, Grover Jake Laporte, Skyler Chauff, Josephine Cammack, Britt Burton-Freeman, Jonathan Krakoff, Emma J. Stinson, Barbara Gower, Leanne M. Redman, Diana M. Thomas

Clinical Research Faculty Publications

Background: Response curves formed by analyte concentrations measured at sampled time points after consuming a mixed meal are increasingly being used to characterize responses to differing diets. Unfortunately, owing to a variety of reasons, analyte concentrations for some of the time points may be missing. Objectives: This study aimed to develop an algorithm to estimate the missing values at sampled time points in the analyte response curve to a mixed meal tolerance test (MMTT). Methods: We developed an algorithm to simulate the missing postprandial concentration values for an MMTT. The algorithm was developed to handle any number of missing values …

Toward Concurrent Identification Of Human Activities With A Single Unifying Neural Network Classification: First Step, Andrew Smith, Musa Azeem, Chrisogonas O. Odhiambo, Pamela J. Wright, Hanim E. Diktas, Spencer Upton, Corby K. Martin, Brett Froeliger, Cynthia F. Corbett, Homayoun Valafar

Clinical Research Faculty Publications

The characterization of human behavior in real-world contexts is critical for developing a comprehensive model of human health. Recent technological advancements have enabled wearables and sensors to passively and unobtrusively record and presumably quantify human behavior. Better understanding human activities in unobtrusive and passive ways is an indispensable tool in understanding the relationship between behavioral determinants of health and diseases. Adult individuals (N = 60) emulated the behaviors of smoking, exercising, eating, and medication (pill) taking in a laboratory setting while equipped with smartwatches that captured accelerometer data. The collected data underwent expert annotation and was used to train a …

Individual And School Correlates Of Body Mass Index And Cardiorespiratory Fitness In Primary School Children From The React Project: A Multivariate Multilevel Analysis, Sara Pereira, Peter T. Katzmarzyk, Fernando Garbeloto, Jean Philippe Chaput, Donald Hedeker, Tiago V. Barreira, Renata Borges, Rui Garganta, Carla Santos, Cláudio Farias, David F. Stodden, Go Tani, José Maia

Population and Public Health Science Faculty Publications

Objective: This paper examines the relationship between body mass index (BMI) and cardiorespiratory fitness (CRF) using a multivariate multilevel approach and investigates the links between individual and school-related correlates with children's BMI and CRF. Methods: This cross-sectional sample included 1014 children (6–10 years) from 25 Portuguese primary schools. BMI was calculated, and CRF was assessed with the PACER test. Fundamental movement skills (FMS) included five object control tasks. Moderate-to-vigorous physical activity (MVPA), sleep, and sedentary time were assessed with the ActiGraph wGT3X-BT accelerometer. Socioeconomic status (SES) and school variables were also obtained. A multivariate multilevel model was used, and alpha …

Grb 180128a: A Second Magnetar Giant Flare Candidate From The Sculptor Galaxy, Aaron C. Trigg, Eric Burns, Oliver J. Roberts, Michela Negro, Dmitry S. Svinkin, Matthew G. Baring, Zorawar Wadiasingh, Nelson L. Christensen, Igor Andreoni, Michael S. Briggs, Niccolò Di Lalla, Dmitry D. Frederiks, Vladimir M. Lipunov, Nicola Omodei, Anna V. Ridnaia, Peter Veres, Alexandra L. Lysenko

Faculty Publications

Magnetars are slowly rotating neutron stars that possess the strongest magnetic fields known in the cosmos (10¹⁴-10¹⁵ G). They display a range of transient high-energy electromagnetic activity. The brightest and most energetic of these events are the gamma-ray bursts (GRBs) known as magnetar giant flares (MGFs), with isotropic energies Eiso10⁴⁴10⁴⁶ erg. Only seven MGF detections have been made to date: three unambiguous events occurred in our Galaxy and the Magellanic Clouds, and the other four MGF candidates are associated with nearby star-forming galaxies. As all seven identified MGFs are bright at Earth, additional weaker …

Modeling Interactions Of Planting Date And Phenology In Louisiana Rice Under Current And Future Climate Conditions, Sajad Jamshidi, Teresa Murgia, Ana G. Morales-Ona, Tommaso Cerioli, Adam N. Famoso, Davide Cammarano, Diane R. Wang

Faculty Publications

The performance of novel genetic combinations under untested environmental scenarios and management practices can be virtually examined using process-based crop models. Indeed, there has been a long-standing interest in the crop modeling community to expand the utility of process-based models to broader germplasm panels (e.g., breeding lines or diversity panels). Yet, there is often a misalignment between data needed to parameterize process-based crop models and data routinely collected by breeding programs. To address this gap, we leverage a dataset from a long-term trial on advanced experimental lines and released varieties from the Louisiana rice breeding program to calibrate and evaluate …

Snapshots Of Coastal Ecology Using Multiproxy Analysis Reveals Insights Into The Preservation Of Swamp And Marsh Environments Since The Late Pleistocene, Kendall Fontenot, Kristine L. Delong, Brian A. Schubert, Sophie Warny, Davin J. Wallace, Carrie M. Miller, Erin Culver-Miller, Michael J. Polito, Carl A. Reese, Kathryn Garretson, Kehui Xu, Grant L. Harley, Jeffrey Obelcz, Kelli L. Moran, Julian Traphagan, Douglas Jones, Alicia Caporaso

Faculty Publications

The southeastern United States Coastal Plain ecosystem contains baldcypress (Taxodium distichum) swamps and grass-dominated marshes. These ecosystems also occurred on the exposed continental shelf during lower sea levels but are rarely preserved due to the mechanically erosive nature of transgression and regression. Two presently marine sites on the northeastern Gulf of Mexico's continental shelf contain well-preserved woody terrestrial sediments that were the subject of previous studies. This study continues the investigation using geochemical (δ13C, δ15N, δ34S) and palynological characteristics of these formerly terrestrial sediments to determine if swamps and/or marshes existed at the time of deposition. The first site is …

A Simple Approach To Dealing With Partial Contestation, Ali Kagalwala, Thiago M.Q. Moreira, Guy D. Whitten

Faculty Publications

Objective: We propose a simple approach to dealing with partial contestation in models of multiparty elections. Methods: Our proposed approach is to add a tiny value to the vote share of parties that do not contest a district and then to include dummy variables identifying those districts in which parties do not compete. We can then estimate a single system of equations using a seemingly unrelated regression (SUR) approach and Aitchison's log-ratio transformation. In our SUR system, we interact the dummy variable for a party that partially contested districts with other predictors in the equation that uses the share of …

Evaluating Past Progress And Assessing Prediction Breeding Strategies For Sustained Genetic Gains In The Louisiana Sugarcane Variety Development Program, Brayden A. Blanchard

LSU Doctoral Dissertations

The aim of this dissertation is to outline important considerations for the Louisiana Sugarcane Variety Development Program (LSVDP) as it pertains to historical progress, impact, goal setting, and new strategies for continued genetic gains. Industry progress was evaluated with robust regression models to quantify rates of productivity gains. Over the last 50 years, statistically significant productivity gains were identified in sucrose content (45%), cane yield (32.2%), and sugar yield (93%) while pairwise comparisons of decades showed that progress was incremental rather than rapid and sustained once achieved. The decade from 1990-1999 was identified as the only decade with a significant …

Pressure And Rate Transient Analyses For Plume Characterization And Storage Capacity Estimation Of Co2 Storage Projects, Mohamed Elnoby Mokhtar Abdelaal

LSU Doctoral Dissertations

Reservoir characterization is a key factor for effective management of commercial-scale Geologic CO2 Storage (GCS) projects. Pressure/rate transient analyses (PTA/RTA) have evolved as reliable tools for assessing hydrocarbon and GCS reservoirs. Injection rate and pressure data are routinely measured as a part of GCS projects’ surveillance, or during transient well testing. The data contain valuable information about the subsurface that can be extracted. The extracted information enables the operator to evaluate the effectiveness of injection operations, and to make remedial/corrective interventions. In this current work, different analytical and numerical techniques are presented to characterize, assess, and maximize the economic and …

No Evidence For Metabolic Adaptation During Exercise-Related Energy Compensation, E. W. Flanagan, G. Sanchez-Delgado, C. K. Martin, E. Ravussin, H. Pontzer, L. M. Redman

Clinical Research Faculty Publications

The constrained energy model posits that the increased total daily energy expenditure (TDEE) in response to exercise is often less than the energy cost of the exercise prescribed. The mechanisms behind this phenomenon, coined “exercise-related energy compensation” (ExEC), are poorly understood, and it is unknown if ExEC is coupled with metabolic adaptation. Using a randomized controlled 24-week exercise intervention, individuals who demonstrated ExEC were identified. Changes to all components of TDEE and metabolic adaptation were assessed using doubly labeled water over 14 days and room calorimetry over 24-h 48% of individuals exhibited ExEC (−308 ± 158 kcals/day). There were no …

Analogues Of Jacobi And Weyl Theorems For Infinite-Dimensional Tori, Vsevolod Sakbaev, Igor Volovich

Journal of Stochastic Analysis

No abstract provided.

The Product Of Distributions And Stochastic Differential Equations Arising From Powers Of Infinite Dimensional Brownian Motions, Un Cig Ji, Hui-Hsiung Kuo, Hara-Yuko Mimachi, Kimiaki Saitô

Journal of Stochastic Analysis

No abstract provided.

Examining The Relations Between Number Of Opportunities To Self-Monitor And Self-Monitoring On-Task Or Accuracy In Children, Alison Ruby

LSU Doctoral Dissertations

Difficulties in academic achievement have been linked to adverse outcomes such as increased problem behavior and delays in development (Hinshaw, 1992). Early education should include training to self-monitor, as self-monitoring can improve academic performance and has a wide range of uses (Harris et al., 2005). Previous literature typically uses frequent self-monitoring opportunities ranging from every 30 seconds to 1 minute. The purpose of this study was to identify the effects of the number of self-monitoring opportunities when self-monitoring on-task behavior and self-monitoring accuracy of task completion, on-task behavior, disruptions, and accuracy of self-monitoring (types of errors) and determine the preferences …

Adaptive Phase I–Ii Clinical Trial Designs Identifying Optimal Biological Doses For Targeted Agents And Immunotherapies, Yong Zang, Beibei Guo, Yingjie Qiu, Hao Liu, Mateusz Opyrchal, Xiongbin Lu

Faculty Publications

Targeted agents and immunotherapies have revolutionized cancer treatment, offering promising options for various cancer types. Unlike traditional therapies the principle of “more is better” is not always applicable to these new therapies due to their unique biomedical mechanisms. As a result, various phase I–II clinical trial designs have been proposed to identify the optimal biological dose that maximizes the therapeutic effect of targeted therapies and immunotherapies by jointly monitoring both efficacy and toxicity outcomes. This review article examines several innovative phase I–II clinical trial designs that utilize accumulated efficacy and toxicity outcomes to adaptively determine doses for subsequent patients and …