Digital Commons Network^™

Systematic Kmtnet Planetary Anomaly Search: V. Complete Sample Of 2018 Prime-Field, Andrew Gould, Cheongho Han, Weicheng Zang, Hongjing Yang, Kyu Ha Hwang, Andrzej Udalski, Ian A. Bond, Michael D. Albrow, Sun Ju Chung, Youn Kil Jung, Yoon Hyun Ryu, In Gu Shin, Yossi Shvartzvald, Jennifer C. Yee, Sang Mok Cha, Dong Jin Kim, Hyoun Woo Kim, Seung Lee Kim, Chung Uk Lee, Dong Joo Lee, Yongseok Lee, Byeong Gon Park, Richard W. Pogge, Przemek Mróz, Michal K. Szymanski, Jan Skowron, Radek Poleski, Igor Soszynski, Pawel Pietrukowicz, Szymon Kozlowski, Krzysztof Ulaczyk, Krzysztof A. Rybicki, Patryk Iwanek

Faculty Publications

We complete the analysis of all 2018 prime-field microlensing planets identified by the Korea Microlensing Telescope Network (KMTNet) Anomaly Finder. Among the ten previously unpublished events with clear planetary solutions, eight are either unambiguously planetary or are very likely to be planetary in nature: OGLE-2018-BLG-1126, KMT-2018-BLG-2004, OGLE-2018-BLG-1647, OGLE-2018-BLG-1367, OGLE-2018-BLG-1544, OGLE-2018-BLG-0932, OGLE-2018-BLG-1212, and KMT-2018-BLG-2718. Combined with the four previously published new Anomaly Finder events and 12 previously published (or in preparation) planets that were discovered by eye, this makes a total of 24 2018 prime-field planets discovered or recovered by Anomaly Finder. Together with a paper in preparation on 2018 subprime …

Pyrolysis Temperature Affects Dissolved Phosphorus And Carbon Levels In Alkali-Enhanced Biochar And Its Soil Applications, Meng Wang, Jim J. Wang, Jong Hwan Park, Jian Wang, Xudong Wang, Zuoping Zhao, Fengmin Song, Bo Tang

Faculty Publications

Alkali-enhanced biochars, as an environment-friendly material, combine the advantages of biomass nutrients and carbon fixation. In this study, rice-residue-derived biochars were evaluated for P and C solubility and their amendment upon plant P uptake. Biochars from rice straw (RS) and husk (RH), including raw biochar without alkaline pretreatment (0B), alkali-enhanced biochars with KOH (5KB, 5 g KOH per 100 g feedstock;10KB, 10 g KOH per 100 g feedstock), K2CO3 (5K2B, 5 g K2CO3 per 100 g feedstock; 10K2B, 10 g K2CO3 per 100 g feedstock), and CaO (5CB, 5 g CaO per 100 g feedstock; 10CB,10 g CaO per 100 …

Alteration Of Biomolecular Conformation By Aluminum-Implications For Protein Misfolding Disease, Yuhai Zhao, Aileen I. Pogue, Peter N. Alexandrov, Leslie G. Butler, Wenhong Li, Vivian R. Jaber, Walter J. Lukiw

Faculty Publications

The natural element aluminum possesses a number of unique biochemical and biophysical properties that make this highly neurotoxic species deleterious towards the structural integrity, conformation, reactivity and stability of several important biomolecules. These include aluminum’s (i) small ionic size and highly electrophilic nature, having the highest charge density of any metallic cation with a Z²/r of 18 (ionic charge +3, radius 0.5 nm); (ii) inclination to form extremely stable electrostatic bonds with a tendency towards covalency; (iii) ability to interact irreversibly and/or significantly slow down the exchange-rates of complex aluminum–biomolecular interactions; (iv) extremely dense electropositive charge with one …

Using Multidisciplinary Analysis To Develop Adaptation Options Against Extreme Coastal Floods, Xinmeng Shan, Jun Wang, Jiahong Wen, Hengzhi Hu, Lei Wang, Jie Yin, Mengya Li

Faculty Publications

Long-term flood risk adaptation and decision making are complex because the future is full of deep uncertainties. Flexibility and robustness can be used to deal with future uncertainty. This study developed an integrated modeling framework that extends previous studies to the spatial domain to assess the future flood risks and the cost and benefit of three adaptation measures for four types of buildings in Shanghai. Real options analysis (ROA) and dynamic adaptive policy pathways (DAPP) were integrated to develop a dynamic adaptation pathway and identify robust adaptation options. The results show that: (1) Sea level rise and land subsidence will …

The Curve Not Taken: Effects Of Covid-19 International Comparison News, Seon Woo Kim, Martina Santia, Raymond J. Pingree, Ayla Oden, Kirill Bryanov, Jessica Wyers

Faculty Publications

International news can inform people not only about what is happening in other countries, but also about how their own country could benefit from policies that have proved successful elsewhere. Specifically, international policy comparison news, or news that compares the policies of two or more countries on the same issue, is a potentially important but underutilized and understudied form of news content. We use an experiment to test effects of exposure to news comparing the COVID-19 pandemic policies of the U.S. versus South Korea, and find that this increases knowledge of policy differences between the two countries, support for adopting …

Intraclass Correlation Coefficients For Weight Loss Cluster Randomized Trials In Primary Care: The Propel Trial, Peter T. Katzmarzyk, Kara D. Denstel, Corby K. Martin, Robert L. Newton, John W. Apolzan, Emily F. Mire, Ronald Horswell, William D. Johnson, Andrew W. Brown, Dachuan Zhang

Clinical Research Faculty Publications

The aim of this study was to compute intra-class correlations (ICCs) for weight-related and patient-reported outcomes in a cluster randomized clinical trial (cRCT) for weight loss. Baseline and follow-up data from the Promoting Successful Weight Loss in Primary Care in Louisiana (PROPEL) cRCT were used in this analysis. ICCs were computed for baseline and follow-up measures, and changes in body weight, cardiometabolic risk factors and health-related and weight-related quality of life at 6, 12, 18 and 24 months. Baseline ICCs ranged from 0 for PROMIS measures of anxiety and fatigue to 0.055 for total cholesterol (median = 0.019). The ICCs …

A Machine Learning Framework For Detecting Covid-19 Infection Using Surface-Enhanced Raman Scattering, Eloghosa Ikponmwoba, Okezzi Ukorigho, Parikshit Moitra, Dipanjan Pan, Manas Ranjan Gartia, Opeoluwa Owoyele

Faculty Publications

In this study, we explored machine learning approaches for predictive diagnosis using surface-enhanced Raman scattering (SERS), applied to the detection of COVID-19 infection in biological samples. To do this, we utilized SERS data collected from 20 patients at the University of Maryland Baltimore School of Medicine. As a preprocessing step, the positive-negative labels are obtained using Polymerase Chain Reaction (PCR) testing. First, we compared the performance of linear and nonlinear dimensionality techniques for projecting the high-dimensional Raman spectra to a low-dimensional space where a smaller number of variables defines each sample. The appropriate number of reduced features used was obtained …

A Framework For Vibration Attenuation In Traffic Mast Arm Structures Under Wind Loads, A. M. Aly, H. Gol-Zaroudi, M. Rezaee

Faculty Publications

Traffic signals and information signs play a vivid role in maintaining safe travel by guiding drivers on highways and urban roads. Traffic mast arm structures are susceptible to vibrations induced by wind loads. Fatigue-induced failure is common in these structures. However, it is crucial to ascertain the functionality of signal support structures. This paper lays the foundation for a fully computational framework to model and mitigate wind-induced vibrations in traffic lighting support structures by conducting computational fluid dynamics (CFD) simulations, dynamic modeling, and damping enhancement. We validated the CFD simulations by aerodynamic testing. The dependence of flow pattern and aerodynamic …

Bio-Inspired Geotechnical Engineering: Principles, Current Work, Opportunities And Challenges, Alejandro Martinez, Jason Dejong, Idil Akin, Ali Aleali, Chloe Arson, Jared Atkinson, Paola Bandini, Tugce Baser, Rodrigo Borela, Ross Boulanger, Matthew Burrall, Yuyan Chen, Clint Collins, Douglas Cortes, Sheng Dai, Theodore Dejong, Emanuela Del Dottore, Kelly Dorgan, Richard Fragaszy, J. David Frost, Robert Full, Majid Ghayoomi, Daniel I. Goldman, Nicholas Gravish, Ivan L. Guzman, James Hambleton, Elliot Hawkes, Michael Helms, David Hu, Lin Huang, Sichuan Huang, Christopher Hunt, Duncan Irschick

Faculty Publications

A broad diversity of biological organisms and systems interact with soil in ways that facilitate their growth and survival. These interactions are made possible by strategies that enable organisms to accomplish functions that can be analogous to those required in geotechnical engineering systems. Examples include anchorage in soft and weak ground, penetration into hard and stiff subsurface materials and movement in loose sand. Since the biological strategies have been 'vetted' by the process of natural selection, and the functions they accomplish are governed by the same physical laws in both the natural and engineered environments, they represent a unique source …

Exploring The Use Of Machine Learning To Parameterize Vertical Mixing In The Ocean Surface Boundary Layer, Jun Hong Liang, Jianguo Yuan, Xiaoliang Wan, Jinliang Liu, Bingqing Liu, Hakun Jang, Mayank Tyagi

Faculty Publications

In ocean and climate models, the simulation of upper-ocean temperature and salinity depends on mixing parameterizations for ocean surface boundary layer turbulence. Existing mixing parameterizations are based on physical principles with empirical parameters. However, they are still imperfect, leading to biases in the simulation of physical states in the upper ocean. In this study, we explore the use of the data-based machine learning technique, specifically, a deep neural network model, for the effects of vertical mixing in the ocean surface boundary layer. The model is trained using process-oriented simulations of the upper-ocean turbulence driven by realistic forcing conditions at the …

Heat Pulse Testing At Monitoring Wells To Estimate Subsurface Fluid Velocities In Geological Co2 Storage, Refaat G. Hashish, Mehdi Zeidouni

Faculty Publications

Monitoring the injected CO2 during geological CO2 storage (GCS) is essential to assure containment and identify CO2 leakage. In this work, a new approach is introduced to estimate the evolution of the downhole fluid velocity at a monitoring well and identify CO2 arrival time using in-well heat pulse/tracer test. The proposed technique involves using a downhole heater to generate a series of heat pulses and measuring their corresponding temperature response. The surface temperature of the downhole heater is controlled by the supplied electrical power and the heat loss by convection to the surroundings. Convective heat transfer is well described using …

Effectiveness Assessment Of E-Ticketing Technology In Construction Of Transportation Projects, Sharareh Kermanshachi, Karthik Subramanya

Publications

The construction of highway infrastructure has devoted significant resources towards e-Construction to reduce the paperwork and automate the tasks in daily operations. Electronic Ticketing (e-Ticketing) is one such component of e-Construction that aids in the digital transfer of material tickets such as asphalt and concrete which accounts for more than fifty per cent of construction costs. Despite the benefits of e-Ticketing, many state departments and agencies are unwilling to transition into this technology. No studies have identified the cause of the delay in the implementation process, developed a framework to comprehend the platform's full potential, quantified savings, and suggested strategies …

Development Of Distress Index Prediction Models For Rehabilitation Treatments In Louisiana Using Advanced Machine Learning Techniques, Momen R. Mousa, Marwa Hassan

Publications

Performance prediction models are used by state agencies to predict future trends in distress indices, hence, determining the required maintenance and/or rehabilitation treatment as well as the deterioration rate and remaining pavement service life. However, most of these models are based on a limited number of parameters and cannot predict the performance distress indices reliably. Such limitation resulted in having, most of the time, a maximum prediction period of five years. As a solution and coping with the ever-increasing size of pavement data, machine learning techniques have become a promising alternative. The objective of this study was to develop a …

Using Rice Husk Ash (Rha) As Stabilizing Agent For Problematic Subgrade Soils And Embankments, Zahid Hossain, Rifat Bulut, Fares Tarhuni, Hussein Al-Dakheeli

Publications

Arkansas produces the most of the rice in the United States. About 20% of poddy is rice husk (RH), which is burnt under controlled conditions to produce rice rusk ash (RHA). The RHA is considered an environmental hazard and a significant challenge for rice millers. However, RHA is rich in pozzolanic material, which is mainly silica. In this study, RHA is used to stabilize poor soils. Another commonly used stabilizer, hydrated lime (HL), has also been evaluated for comparison purposes. Thus, this study aimed to determine the optimum percentages of RHA, HL, or a combination of these two agents by …

A Deep Learning Tool For The Assessment Of Pavement Smoothness And Aggregate Segregation During Construction, Mostafa Elseifi, Ramchandra Paudel, Md Tanvir Ahmed Sarkar, Hossam Abohamer, Nirmal Dhakal

Publications

Pavement construction monitoring and quality assurance (QA) practices are mostly based on costly, discrete, and destructive methods. Most quality assurance programs are based on pavement construction procedures encompassing in-situ coring for layer thickness determination, density measurements, laboratory testing to measure volumetric properties, and smoothness measurements in case of the availability of a profiler. The main objective of this study was to develop a machine learning-based classifier for predicting pavement roughness and aggregate segregation based on digital image analysis, image recognition, and deep learning machine models. The developed Convolution Neural Networks (CNN) models were trained, tested, and validated using 600-pavement surface …

Detrimental Changes In Health During Menopause: The Role Of Physical Activity, Ryan M. Hulteen, Kara L. Marlatt, Timothy D. Allerton, Dragana Lovre

Clinical Research Faculty Publications

Midlife women experience changes in cardiometabolic, physical, and psychosocial health during menopause that negatively impacts their overall quality of life. Factors that contribute to these increases in cardiometabolic risk include weight gain as well as increases in fat mass (particularly abdominal adiposity), insulin resistance, and vascular dysfunction. Other deleterious changes in physical health (e. g. reduced sleep health, bone density, and balance) as well as changes in psychosocial health (e. g. mood, anxiety, and depression) often coincide and are linked to these increases in cardiometabolic risk. Physical activity and exercise are important lifestyle components that have been demonstrated to improve …

Effects Of Doping, Hydrostatic Pressure, And Thermal Quenching On The Phase Transitions And Magnetocaloric Properties In Mn1- X Cox Nige, Tej Poudel Chhetri, Jing Han Chen, Anthony T. Grant, David P. Young, Igor Dubenko, Saikat Talapatra, Naushad Ali, Shane Stadler

Faculty Publications

The effects of doping, hydrostatic pressure, and thermal quenching on the phase transitions and magnetocaloric properties of the Mn1-xCoxNiGe system have been investigated. Cobalt doping on the Mn site shifted the martensitic structural transition toward lower temperature until it was ultimately absent, leaving only a magnetic transition from a ferromagnetic (FM) to a paramagnetic (PM) state in the high-temperature hexagonal phase. Co-occurrence of the magnetic and structural transitions to form a first-order magnetostructural transition (MST) from the FM orthorhombic to the PM hexagonal phase was observed in samples with 0.05 < x < 0.20. An additional antiferromagnetic-ferromagnetic-like transition was observed in the martensite phase for 0.05 < x < 0.10, which gradually vanished with increasing Co concentration (x > 0.10) or magnetic field (H > 0.5 T). The application of …

The Construction And Estimation Of Hidden Semi-Markov Models, Kurdstan Abdullah, John Van Der Hoek

Journal of Stochastic Analysis

No abstract provided.

The Thermodynamics Of A Stochastic Geometry Model With Applications To Non-Extensive Statistics, O.K. Kazemi, A. Pourdarvish, J. Sadeghi

Journal of Stochastic Analysis

No abstract provided.

Qualifying Factors That Predict Weight Loss Success Within Diet Interventions, Jordan Losavio

LSU Master's Theses

Evidence-based diet strategies lead to weight loss for some, while for others, the same diet approach could result in trivial weight loss or even in weight gain. This prompts the underlying research question: what factors predict that a given diet strategy will be efficacious for some, but not for others? This research was a secondary analysis of clinical weight loss studies to determine which factors influence an individual’s weight loss success for three diet intervention strategies: low-carbohydrate, low-fat, and low-calorie. A combination of physiological, psychological, behavioral, and dietary factors was evaluated for each diet study. Multiple linear regression and logistic …

2-Dimensional String Problems: Data Structures And Quantum Algorithms, Dhrumilkumar Patel

LSU Master's Theses

The field of stringology studies algorithms and data structures used for processing strings efficiently. The goal of this thesis is to investigate 2-dimensional (2D) variants of some fundamental string problems, including \textit{Exact Pattern Matching} and \textit{Longest Common Substring}.

In the 2D pattern matching problem, we are given a matrix $\M[1\dd n,1\dd n]$ that consists of $N = n \times n$ symbols drawn from an alphabet $\Sigma$ of size $\sigma$. The query consists of a $ m \times m$ square matrix $\PP[1\dd m, 1\dd m]$ drawn from the same alphabet, and the task is to find all the locations of $\PP$ …

Creating A Public Space For Georeferencing Sanborn Maps: A Louisiana Case Study, Adam Cox

LSU Master's Theses

As institutional archives digitize their historical map collections and make them publicly available online, new methods for engaging with these materials emerge. Georeferencing the maps transforms their content from static images to dynamic map overlays, and allows for the extraction of geographic data like building footprints or place name coordinates. Many organizations have turned to crowdsourcing to georeference their large holdings, and this thesis approaches crowdsourced georeferencing from the perspective of participatory heritage, taking much inspiration from the idea of the archival commons. To test these ideas, a new extension was created for GeoNode—an open source geospatial content management system—that …

Integration Of Remote Sensing Approaches For In-Season Nitrogen Management, Murilo De Santana Martins

LSU Doctoral Dissertations

Nitrogen (N) management is being conducted at flat rate in Louisiana due to practicality and convenience, but the price of N fertilizer and high breakeven costs are forcing producers to find ways to reduce costs and optimize N application. In this scenario, precision agriculture technologies, specifically the use of optical sensors on board of unmanned aerial systems (UAS) to variable rate N application on farm is showing a promising approach to save inputs and reduce environmental impacts. However, the general goal of this research was to develop and evaluate in-season N management approaches for N recommendation in corn (Zea …

Understanding The Effects Of Socioeconomic Variables, Career Motivation, And Msw Education On Practice Preferences: A Quantitative National Survey Of Msw Students, Tina B. Granger

LSU Doctoral Dissertations

Over the past several decades, there has been much debate over the role of social workers in the mental health field. Factors related to career motivation and practice preferences has had limited research and many have attributed materialistic and self-seeking motives as the reason for a social work career choice. Research has shown that there may be a divergence or ‘mission drift’ from traditional social work values and mission of social justice and social change at the systems level. Identifying factors related to career motivation and practice preferences is important in an ever-evolving field such as social work. This study …

Electric Field Driven Co-Assembly And Transport Of Colloids Using Active-Passive Interaction, Brishty Deb Choudhury

LSU Master's Theses

Over the past few decades, the out-of-equilibrium transport and assembly of colloidal particles have been drawing significant interest due to their myriad applications in biology, engineering, and physics. In the absence of any external force, micro and nanoparticles perform Brownian motion in dispersion and are termed as passive colloids. In contrast, active colloids are a class of particles where a net imbalance of fluid flow around their surface drives their net migration in space when subjected to an external electric field. While several studies have shown the ability to program the dynamics of active colloids using an external electric field, …

Defining Toxicological Endpoints Of Aphis Gossypii Feeding, Flinn O'Hara

LSU Master's Theses

The cotton aphid, Aphis gossypii Glover (Hemiptera: Aphididae), is a destructive agricultural pest, due to photosynthate removal and plant virus transmission. This project consisted of two main goals. First, we employed toxicity bioassays and electrical penetration graph (EPG) methodology to quantify changes to feeding behavior and toxicity of A. gossypii after exposure to commercialized aphicides. Commercialized aphicides containing flupyradifurone, sulfoxaflor, thiamethoxam, thiamethoxam + lambda cyhalothrin, and bifenthrin induced > 90% aphid mortality within 4 hours of exposure. This was supported by our EPG results that showed a significant reduction in the proportion of aphids that continued to probe on cotton 4 …

Exercise Effects On Cognition In Older African Americans: A Pilot Randomized Trial, Kathryn L. Gwizdala, Robert Brouillete, Robbie Beyl, William Johnson, Callie Hebert, Leah Carter, Melissa Harris, Robert L. Newton, Owen T. Carmichael

Clinical Research Faculty Publications

Introduction: Regular physical activity lowers risk for cognitive decline and neurodegenerative disorders. Older African Americans (AAs) have been underrepresented in trials that increased physical activity to improve cognitive outcomes. Methods: 56 sedentary, older, cognitively healthy AAs (avg. 69.2 ± 3.4 yrs. old) were randomized in 1:1 ratio into either a 12-week successful aging group (SAG) or a 12-week physical activity group (PAG). Participants in SAG attended weekly 60-min educational sessions in which healthy aging topics were discussed. Participants in PAG attended supervised physical activity sessions twice per week at local YMCAs (90–120 min/week) and were prescribed 2–3 days per week …

Effect Of Ultraviolet Light Treatment On Microbiological Safety And Quality Of Fresh Produce: An Overview, Veerachandra Yemmireddy, Achyut Adhikari, Juan Moreira

Faculty Publications

Fresh and fresh-cut fruits and vegetables have been associated in several foodborne illness outbreaks. Although investigations from those outbreaks reported that the contamination with pathogenic microorganisms may occur at any point in the farm to fork continuum, effective control strategies are still being widely investigated. In that direction, the concept of hurdle technology involving a sequence of different interventions have been widely explored. Among those interventions, ultraviolet (UV) light alone or in combination with other treatments such as use of organic acids or sanitizer solutions, has found to be a promising approach to maintain the microbiological safety and quality of …

Completing Single-Cell Dna Methylome Profiles Via Transfer Learning Together With Kl-Divergence, Sanjeeva Dodlapati, Zongliang Jiang, Jiangwen Sun

Faculty Publications

The high level of sparsity in methylome profiles obtained using whole-genome bisulfite sequencing in the case of low biological material amount limits its value in the study of systems in which large samples are difficult to assemble, such as mammalian preimplantation embryonic development. The recently developed computational methods for addressing the sparsity by imputing missing have their limits when the required minimum data coverage or profiles of the same tissue in other modalities are not available. In this study, we explored the use of transfer learning together with Kullback-Leibler (KL) divergence to train predictive models for completing methylome profiles with …

“Not Nearly What It Used To Be”: A Mixed Methods Study On Hazing And Organizational Culture In Historically White Fraternities, Kimberly Rogers Davis

LSU Doctoral Dissertations

Hazing is a significant concern on college campuses, especially as students continue to die following hazing incidents in student organizations. Fraternities, particularly historically White fraternities (HWFs), have been the site of many recent hazing deaths. However, fraternity and sorority life leaders and advocates often argue that the chapters where hazing tragedies occur are the minority in a broader system that offers numerous contributions to society. Rather than a fraternity or sorority problem, hazing may result from cultural influences within and around the organization. Thus, the purpose of this study is to understand how organizational culture, such as chapter culture and …