Prevalence And Correlates Of Adherence To The Global Total Physical Activity Guideline Based On Step Counting Among 3- To 4-Year-Olds: Evidence From Sunrise Pilot Studies From 17 Countries, Tawonga W. Mwase-Vuma, Xanne Janssen, Kar Hau Chong, Anthony D. Okely, Mark S. Tremblay, Catherine E. Draper, E. Kipling Webster, Alex Antonio Florindo, Amanda E. Staiano, Bang Nguyen Pham, Chiaki Tanaka, Denise Koh, Hongyan Guan, Hong K. Tang, Marie Löf, Mohammad Sorowar Hossain, Nyaradzai E. Munambah, Penny Cross, P. W.Prasad Chathurangana, John J. Reilly

Population and Public Health Science Faculty Publications

Background: There is limited evidence from globally diverse samples on the prevalence and correlates of meeting the global guideline of 180 minutes per day of total physical activity (TPA) among 3- to 4-year-olds. Methods: Cross-sectional study involving 797 (49.2% girls) 3- to 4-year-olds from 17 middle- and high-income countries who participated in the pilot phases 1 and 2 of the SUNRISE International Study of Movement Behaviours in the Early Years. Daily step count was measured using thigh-worn activPAL accelerometers. Children wore the accelerometers for at least one 24-hour period. Children were categorized as meeting the TPA guideline based on achieving …

An Adaptive Nonlinear Least-Squares Finite Element Method For A Pucci Equation In Two Dimensions, Susanne C. Brenner, Li Yeng Sung, Zhiyu Tan

Faculty Publications

We present an adaptive nonlinear least-squares finite element method for a two dimensional Pucci equation. The efficiency of the method is demonstrated by a numerical experiment.

Boron Neutron Capture Therapy Of Cancer: Where Do We Stand Now?, Rolf F. Barth, Gong Wu, Maria Da Graca H. Vicente, John C. Grecula, Nilendu Gupta

Faculty Publications

No abstract provided.

Anderson Localization For The Unitary Almost Mathieu Operator, Fan Yang

Faculty Publications

We prove Anderson localization for all Diophantine frequencies and all non-resonant phases for a model that arises from a 2D quantum walk model subject to an external magnetic field, also known as the unitary almost Mathieu operator. Our work provides the first localization results for all Diophantine frequencies in quasi-periodic quantum walk and CMV matrix setting. We also obtain sharp asymptotics of the localized eigenfunctions.

Acute Pancreatitis In Individuals With Sickle Cell Disease: A Systematic Review, Chinenye R. Dike, Adefunke Dadematthews, Oluwagbemiga Dadematthews, Maisam Abu-El-Haija, Jeffrey Lebensburger, Abigail Smith, Aamer Imdad

Faculty Publications

Background/Objectives: Sickle cell disease (SCD) impacts about 100,000 people in the US. SCD increases the risk of cholelithiasis and microvascular ischemia, which could increase the risk of acute pancreatitis (AP). Abdominal pain is a common presenting symptom of AP and sickle cell vaso-occlusive crisis. The purpose of our systematic review is to estimate the prevalence and determine the severity of AP in individuals with SCD compared to the general population. Methods: Multiple electronic databases were searched. We included studies that included children and adults (population) and addressed the association of SCD (exposure) with AP (outcome) compared to the same population …

Effects Of Non-Face-To-Face Chronic Care Management On Service Utilization And Outcomes Among Us Medicare Beneficiaries With Diabetes, Dongzhe Hong, Charles Stoecker, Yixue Shao, Elizabeth Nauman, Vivian Fonseca, Gang Hu, Alessandra N. Bazzano, Edmond K. Kabagambe, Lizheng Shi

Population and Public Health Science Faculty Publications

Background: Type 2 diabetes mellitus (T2DM) results in heavy economic and disease burdens in Louisiana. The Centers for Medicare and Medicaid Services has reimbursed non-face-to-face chronic care management (NFFCCM) for patients with two or more chronic conditions since 2015. Objective: To assess the impacts of NFFCCM on healthcare utilization and health outcomes. Design, Setting, and Participants: This retrospective cohort study included Medicare fee-for-service beneficiaries with T2DM and at least one additional chronic disease between 2014 and 2018. Exposures: At least one record of NFFCCM Current Procedural Terminology codes. Main Measures: The health outcomes in the study included major adverse cardiovascular …

The Risk Management Of Covid-19: Lessons From Financial Economics And Financial Risk Management, Don M. Chance

Faculty Publications

The United States had one of the worst outcomes in the management of COVID-19 risk, with a death rate in the 94th percentile of all countries. Setting aside the obvious politicized nature of COVID-19 public health recommendations and mandates, we argue that best practices in financial risk management provide parallels that could have served as valuable guidance. We demonstrate here that considerable signals were missed that would have required very little effort and would have been consistent with sound risk management. We also identify examples of misleading information such as that COVID-19 was particularly hard on the elderly. The data …

Editorial Introduction: Unveiling New Dimensions In Policy Process Theory Research, Geoboo Song, Saba Siddiki, Melissa K. Merry, Davor Mondom, Ben Galloway, Gwen Arnold, Aaron Smith-Walter, Holly L. Peterson, Creed Tumlison, Briana Huett, Heasun Choi, Nataliia Borozdina

Faculty Publications

No abstract provided.

Promoting Evidence-Based Academic And Behavioral Interventions, Joseph B. Ryan, Paul Mooney

Faculty Publications

No abstract provided.

Learning Nonlinear Dynamics In Synchronization Of Knowledge-Based Leader-Following Networks, Shimin Wang, Xiangyu Meng, Hongwei Zhang, Frank L. Lewis

Faculty Publications

Knowledge-based leader-following synchronization of heterogeneous nonlinear multi-agent systems is a challenging problem since the leader's dynamic information is unknown to any follower node. This paper proposes a learning-based fully distributed observer for a class of nonlinear leader systems, which can simultaneously learn the leader's dynamics and states. This class of leader dynamics is rather general and does not require a bounded Jacobian matrix. Based on this learning-based distributed observer, we further synthesize an adaptive distributed control law for solving the leader-following synchronization problem of multiple Euler–Lagrange systems subject to an uncertain nonlinear leader system. The results are illustrated by a …

Lipids To The Rescue In Pulmonary Fibrosis: Biosynthesis, Bioenergetics, Or Epigenetics?, Manas Ranjan Gartia, Victor J. Thannickal

Faculty Publications

No abstract provided.

Storm Surge Modeling In The Ai Era: Using Lstm-Based Machine Learning For Enhancing Forecasting Accuracy, Stefanos Giaremis, Noujoud Nader, Clint Dawson, Carola Kaiser, Efstratios Nikidis, Hartmut Kaiser

Faculty Publications

Physics simulation results of natural processes usually do not fully capture the real world. This is caused for instance by limits in what physical processes are simulated and to what accuracy. In this work we propose and analyze the use of an LSTM-based deep learning network machine learning (ML) architecture for capturing and predicting the behavior of the systemic error for storm tide forecast models with respect to real-world water elevation observations from gauge stations during hurricane events. The overall goal of this work is to predict the systemic error of the physics model and use it to improve the …

Hyperpolarized Magnetic Resonance Imaging, Nuclear Magnetic Resonance Metabolomics, And Artificial Intelligence To Interrogate The Metabolic Evolution Of Glioblastoma, Kang Lin Hsieh, Qing Chen, Travis C. Salzillo, Jian Zhang, Xiaoqian Jiang, Pratip K. Bhattacharya, Shyan Shams

Faculty Publications

Glioblastoma (GBM) is a malignant Grade VI cancer type with a median survival duration of only 8–16 months. Earlier detection of GBM could enable more effective treatment. Hyperpolarized magnetic resonance spectroscopy (HPMRS) could detect GBM earlier than conventional anatomical MRI in glioblastoma murine models. We further investigated whether artificial intelligence (A.I.) could detect GBM earlier than HPMRS. We developed a deep learning model that combines multiple modalities of cancer data to predict tumor progression, assess treatment effects, and to reconstruct in vivo metabolomic information from ex vivo data. Our model can detect GBM progression two weeks earlier than conventional MRIs …

The Impact Of Lutein-Loaded Poly(Lactic-Coglycolic Acid) Nanoparticles Following Topical Application: An In Vitro And In Vivo Study, Renee T. Carter, Sean Swetledge, Sara Navarro, Chin C. Liu, Nikole Ineck, Andrew C. Lewin, Fabrizio Donnarumma, Ede Bodoki, Rhett W. Stout, Carlos Astete, Jangwook P. Jung, Cristina M. Sabliov

Faculty Publications

Antioxidant therapies are of interest in the prevention and management of ocular disorders such as cataracts. Although an active area of interest, topical therapy with antioxidants for the treatment of cataracts is complicated by multiple ocular anatomical barriers, product stability, and solubility. Entrapment and delivery of antioxidants with poly(lactic-co-glycolic acid) nanoparticles is a possible solution to these challenges, however, little is known regarding their effects in vitro or in vivo. Our first aim was to investigate the impact of blank and lutein loaded PLGA nanoparticles on viability and development of reactive oxygen species in lens epithelial cells in vitro. Photo-oxidative …

Prediction Of Compost Organic Matter Via Color Sensor, Geila Santos Carvalho, David C. Weindorf, Mona Liza C. Sirbescu, Bruno Teixeira Ribeiro, Somsubhra Chakraborty, Bin Li, Walker C. Weindorf, Autumn Acree, Luiz Roberto G. Guilherme

Faculty Publications

Composted materials serve as an effective soil nutrient amendment. Organic matter in compost plays an important role in quantifying composted materials overall quality and nutrient content. Measuring organic matter content traditionally takes considerable time, resources, and various laboratory equipment (e.g., oven, muffle furnace, crucibles, precision balance). Much like the quantitative color indices (e.g., sRGB R, sRGB G, sRGB B, CIEL*a* b*) derived from the low-cost NixPro2 color sensor have proven adept at predicting soil organic matter in-situ, the NixPro2 color sensor has the potential to be effective for predicting organic matter in composted materials without the need for traditional laboratory …

Development Of Cyclic Scb Test For Evaluating Fatigue Cracking Resistance Of Asphalt Mixture At Intermediate Temperature, Ye Ma

LSU Doctoral Dissertations

Asphalt pavements are subjected to premature cracking due to traffic loading and environmental effects. The Semi-Circular Bending (SCB) test has been traditionally conducted in a monotonic, displacement-controlled mode at intermediate temperature to assess the fatigue crack resistance of asphalt mixtures. However, fatigue damage is essentially deterioration in material integrity as a result of repeated loading. This study aims to develop a cyclic SCB test to characterize the fatigue cracking properties of asphalt mixture utilizing Paris’ Law model. A secondary goal is to apply the Paris’ Law coefficients measured from the developed cyclic SCB test in predicting the fatigue life of …

Empirical Distribution Functions For Farmland Derivative Stocks, Shaharia Jaman Bhuiyan

LSU Master's Theses

Abstract

This thesis investigates the statistical distribution functions fit for modeling the returns of farmland derivative stocks and financial market indexes. Farmland derivative stocks have garnered increased interest due to their potential use in portfolio diversification and risk management. Financial asset returns can be characterized by higher moment behavior in the underlying statistical distribution. This implies that in assessing the statistical distribution properties of risks, proper consideration must be given to the choice of functional form. The Generalized Lambda Distribution (GLD) is used due to its flexibility in model various distribution functions.

The dataset comprises daily and monthly log returns …

Constraining Giant Planet Occurrence Rates With The Multi-Band Imaging Survey For High-Alpha Planets (Mishaps) Observations Of 47 Tucanae, Alison Crisp

LSU Doctoral Dissertations

Though the confirmed exoplanet population has now reached over 5,500 planets, we still have a plethora of unanswered questions, e.g., regarding their formation mechanisms, true demographics, occurrence rates, and habitability. One remaining question is whether hot Jupiters formed in situ or migrated to their current orbits, so close to their host stars that their periods are 10 days or less. This question can potentially be answered by probing the effects of elemental abundances on hot Jupiter occurrence rates. These rates have been found to correlate with metallicity, but the specific elements responsible for the correlation have largely been unresolved. The …

Stochastic Solutions For Hyperbolic Pde, Abdol-Reza Mansouri, Zachary Selk

Journal of Stochastic Analysis

No abstract provided.

Development Of Satellite-Assisted Forecasting System For Vibrio Vulnificus Prevalence In Coastal Waters, Saber Aradpour

LSU Doctoral Dissertations

Vibrio vulnificus is a halophilic gamma proteobacterium that is autochthonous to coastal waters and is responsible for 50% of seafood-related deaths in the United States. This study presents a series of nowcasting and forecasting models for predicting vibrio vulnificus abundance in oysters by identifying the long-range dependence of vibrio vulnificus abundance on antecedent environmental conditions and detecting the environmental conditions using satellite remote sensing technology. It was discovered that vibrio vulnificus abundance exhibits a long-range dependence on antecedent environmental conditions which can be characterized by seven independent environmental predictors (stressors) including sea surface temperature (SST), water level (WL), sea surface …

Chinese Calligraphic Dance (Ccd) And Generative Arts: Phantom Of Utopia, Ka Hei Cheng

LSU Doctoral Dissertations

The intricate elements embedded in the pictorial, ideological, and semantic facets of Chinese characters find their origin in simple calligraphic gestures. This generative arts research and creative work elevates traditional two-dimensional Chinese calligraphy into a multidimensional realm in extended reality (XR) by translating it into a three-dimensional dance movement, integrating music and visual media. This transformation is achieved by decomposing the words into gestures and somaesthetic
movement/interaction, encoding the collective bodily expressions into a manifestation termed Chinese Calligraphic Dance (CCD). Within this dance form, the fusion of categorized and uncategorized gestures/movements is sonified through a motion tracking system, giving rise …

A Friendship Of Two Prima Donnas: The Letters Of Adelina Patti To Giulia Valda, Jacquelyn Ancelet

LSU Master's Theses

Of the many prima donnas of the nineteenth century, Adelina Patti (1843–1919) stands out as one of the most successful, with a fifty-year international concertizing career. Biographers across multiple languages have covered her career in great depth, but devote little attention to her close friendships. Herman Klein (in The Reign of Patti [1920]) and John Cone (in Adelina Patti: Queen of Hearts [1993]), for instance, claim that Patti was known by many, but understood by few. One who does seem to have understood her and developed a close relationship with her was Giulia Valda (1850–1925), herself a professional singer, if …

Synthesis Of Portions Of An Acinetobacter Baumannii Lipooligosaccharide (Los), Brandon Conrad

LSU Doctoral Dissertations

Glycoconjugate vaccines have become an effective strategy for protection against an array of globally persistent diseases resulting from pathogenic bacteria such as Haemophilus influenzae type b (Hib), Neisseria meningitidis, and Salmonella enterica serotype Typhi. Comprised of a carbohydrate (referred to as glycan) covalently inked to a carrier protein, these vaccines can initiate adaptive immunity by inducing B and T cell responses once in the lymphatic system. This is particularly relevant for infants two years of age and younger whose immune systems are not fully developed. A continuously emerging threat in clinical settings, Acinetobacter baumannii is a Gram-negative bacterium …

Precision Nutrition For Management Of Cardiovascular Disease Risk During Menopause, Hannah E. Cabre, Emily K. Woolf, Leanne M. Redman

Clinical Research Faculty Publications

Background:Women can spend up to 40%of their lives in the postmenopausal state. As women begin to transition into menopause, known as perimenopause, changes in hormonal concentrations and body composition dramatically increase overall cardiometabolic risk. Dietary patterns and interventions can be utilized to prevent and treat cardiovascular disease (CVD) and some dietary patterns over others may be more beneficial due to their specific effects on the health aspects of menopause. In this narrative review, we summarize key cardiovascular alterations that occur during the menopause transition and explore current dietary recommendations to address CVD risk aswell as explore the newfrontier of precision …

Central Lean Mass Distribution And The Risks Of All-Cause And Cause-Specific Mortality In 40,283 Uk Biobank Participants, Li Ding, Yuxin Fan, Jiaxing Wang, Xiaohui Ma, Lina Chang, Qing He, Gang Hu, Ming Liu

Population and Public Health Science Faculty Publications

Introduction: The purpose of this study was to investigate the association of central lean mass distribution with the risk of mortality. Methods: This cohort study included 40,283 UK Biobank participants. Cox proportional hazards regression models were used to estimate the association of central lean mass distribution, i.e., trunk-to-leg lean mass ratio, assessed by dual-energy X-ray absorptiometry, with the risk of mortality. Results: The median age of the participants was 65 years, and 52% were women. During a median follow-up of 4.18 years, 674 participants died, of whom 366 were due to cancer and 126 were due to cardiovascular causes. Compared …

Quantum Classical Algorithm For Solving The Hubbard Model Via Dynamical Mean-Field Theory, Anshumitra Baul

LSU Doctoral Dissertations

Modeling many-body quantum systems is widely regarded as one of the most promising applications for near-term noisy quantum computers. However, in the near term, system size limitation will remain a severe barrier for applications in materials science or strongly correlated systems. A promising avenue of research is to combine many-body physics with machine learning for the classification of distinct phases. I present a workflow that synergizes quantum computing, many-body theory, and quantum machine learning (QML) for studying strongly correlated systems. In particular, it can capture a putative quantum phase transition of the stereotypical strongly correlated system, the Hubbard model. Following …

The Anatomy Of Inequality: Medicine, Mourning, And Socioeconomic Status In Victorian England, Molly G. Decker

LSU Master's Theses

"The Anatomy of Inequality: Medicine, Mourning, and Socioeconomic Status in Victorian England," examines the historic relationships between socioeconomic inequality, death, and medical practice during the Victorian period, with specific ttention on London and surrounding areas. I argue that the extreme socioeconomic disparities of the time were deeply intertwined with the practices surrounding death, mourning, and medical care. The first chapter, "The Price of Sorrow," explores the elaborate mourning rituals and displays of status among the wealthy and upper to middle-class Victorians, detailing how these practices were not only expressions of grief but also conspicuous displays of social status and wealth. …

Effect Of Micellar Morphology On The Temperature-Induced Structural Evolution Of Abc Polypeptoid Triblock Terpolymers Into Two-Compartment Hydrogel Network, Naisheng Jiang, Tianyi Yu, Meng Zhang, Bailee N. Barrett, Haofeng Sun, Jun Wang, Ying Luo, Garrett L. Sternhagen, Sunting Xuan, Guangcui Yuan, Elizabeth G. Kelley, Shuo Qian, Peter V. Bonnesen, Kunlun Hong, Dongcui Li, Donghui Zhang

Faculty Publications

We investigated the temperature-dependent structural evolution of thermoreversible triblock terpolypeptoid hydrogels, namely poly(N-allyl glycine)-b-poly(N-methyl glycine)-b-poly(N-decyl glycine) (AMD), using small-angle neutron scattering (SANS) with contrast matching in conjunction with X-ray scattering and cryogenic transmission electron microscopy (cryo-TEM) techniques. At room temperature, A100M101D10 triblock terpolypeptoids self-assemble into core-corona-type spherical micelles in aqueous solution. Upon heating above the critical gelation temperature (Tgel), SANS analysis revealed the formation of a two-compartment hydrogel network comprising distinct micellar cores composed of dehydrated A blocks and hydrophobic D blocks. At T ≳ Tgel, the temperature-dependent dehydration of A block further leads to the gradual rearrangement of both …

Ion-Mediated Structural Discontinuities In Phospholipid Vesicles, Judith U. De Mel, Stefanie Klisch, Sudipta Gupta, Gerald J. Schneider

Faculty Publications

Despite intense research, methods for controlling soft matter’s spontaneous self-assembly into well-defined layers remain a significant challenge. We observed ion-induced structural discontinuities of phospholipid vesicles that can be exploited for controlled self-assembly of soft materials, using DOPC and NaCl as a model system. The observations were made for the 0.25 wt % lipid concentration. We used dynamic light scattering, zeta-potential measurement, cryo-electron microscopy, small-angle X-ray, and small-angle neutron scattering to understand the reason for the discontinuities. For salt concentrations below 8 mM, we observed a decrease in the liposome diameter with increased NaCl concentration. Above 8 mM, we measured a …

Novel Approaches To The Activation Of Chalcogenoglycosides For O-Glycosylation, Tiffany Duong

LSU Doctoral Dissertations

Carbohydrates are integral to various biological processes such as cell signaling, function and regulation. Carbohydrates also play critical roles in various disease and metastatic pathways. This has garnered considerable attention to the field of glycoscience, however, the study of carbohydrate-containing compounds remains a challenge due to the difficulty in obtaining pure samples from natural sources. As a result, the biological evaluation of carbohydrates relies on synthetic chemistry to produce pure compounds in significant quantities. However, the synthesis of carbohydrates present their own challenges owing to the complexity in controlling stereochemistry and regiochemistry. The most significant of these challenges is controlling …