Digital Commons Network^™

On-Demand Receiver-Centric Channel Allocation Via Constrained Vcg Auction For Spatial Spectrum Reuse, Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun

Faculty Publications

Spatial spectrum reuse significantly enhances spectrum utilization but requires delicate design to avoid cochannel interference. Instead of focusing solely on spectrum efficiency, we consider maximizing social welfare via channel allocation. Specifically, we propose an on-demand receiver-centric mechanism with a new factor, the supply and demand relationship. The optimal channel allocation that maximizes social welfare can be achieved by the constrained Vickrey-Clarke-Groves (VCG) auction for secondary users (SUs), but with high complexity. To simplify the constrained VCG auction, we group the SUs into maximal independent groups (MIGs) using a modified Bron-Kerbosch algorithm. We prove that truthful bidding is the optimal strategy …

Welcome To The Third International Workshop On Crowd-Based Requirements Engineering (Crowdre'19), Eduard C. Groen, Meira Levy, Anas Mahmoud, Norbert Seyff

Faculty Publications

Ban'gapsuda1 and welcome to the 3rd International Workshop on Crowd-Based Requirements Engineering (CrowdRE'19), where scientists and representatives of industry with experience or an interest in CrowdRE meet to exchange ideas and contributions regarding the state of the art, and to inspire each other in ways to move forward together. The discipline of CrowdRE seeks to address challenges of traditional requirements engineering (RE) techniques by scaling up to settings with thousands to millions of users of a (software) product. These users can easily interact among themselves and with the development company, forming a large and heterogeneous group that can be denoted …

Mitigating Reflective Cracking Through The Use Of A Ductile Concrete Interlayer, Qian Zhang, Mohammad Khattak, Adway Das

Publications

Reflective cracking is considered one of the most important issues that causes premature deterioration of composite pavements. Many types of mitigation methods have been studied in the past. However, they are either not effective in delaying the reflective cracking, or they only extend the service life by a few years. To address this critical issue and significantly extend the service life of the composite pavement, in this research, a ductile interlayer made of engineered cementitious composites (ECC) was proposed. It was hypothesized that by adding a thin layer of highly ductile ECC material between the existing pavement and overlay, reflective …

Performance Of Drilled Shaft Under Combination Of Complicated Loads Under Hurricane Event, Jie Huang, Sazzad Bin-Shafique

Publications

This project includes experimental and numerical studies to investigate and assess the impact of vertical loads on a laterally loaded drilled shaft under various conditions. The experimental study includes lab testing and lab-scale load test to examine a drilled shaft subjected to vertical and lateral loads at a reduced scale. With the data obtained from the lab-scale testing, a numerical model was calibrated, which was used to perform a parametric study to scrutinize the effect of many possible factors such as soil stiffness, soil friction angle, and drilled shaft geometry. With all the factors considered in this study, the vertical …

Investigation Of Physical And Dynamic Properties Of High Porous Concrete, Ildar Akhmadullin

Publications

This project pursued two main objectives: (1) providing opportunities to Baton Rouge Community College (BRCC) students to develop hands-on laboratory skills and exposure to the transportation field, and (2) investigating porous concrete properties. Several BRCC student groups performed the work presented within this report; students prepared samples with different porosity and permeability according to standard specifications. The testing of the samples was performed at the Louisiana Transportation Research Center (LTRC) facility under the supervision of LTRC specialists. Findings indicate that the porosity of samples is backward proportional to the compression strength. This function is not linear but can be estimated …

Toward Non-Corrosion And Highly Sustainable Structural Members By Using Ultra-High-Performance Materials For Transportation Infrastructure, Shih-Ho Chao, Ashish Karmacharya

Publications

This research focused on investigating a highly sustainable and efficient reinforced concrete structural member for future infrastructure by utilizing emerging high-performance materials. These materials include ultra-high-performance fiber-reinforced concrete (UHP-FRC) and corrosion-resistant high-strength fiber-reinforced polymer (FRP) bars. Four reduced scale UHP-FRC specimens were tested under large displacement reversals to prove the proposed new ductile-concrete strong-reinforcement (DCSR) design concept by fully utilizing these ultra-high-performance materials. Micro steel fibers were incorporated into three specimens and ultra-high molecular weight polyethylene fibers were blended into the fourth specimen. One specimen with ASTM A1035 MMFX high-strength steel rebars, one with high-strength glass fiber reinforced polymer (GFRP) …

Evaluating How The Quality Of Pedestrian Infrastructure Affects The Choice To Walk, Gregory Rowangould, Alexis Corning-Padilla

Publications

While the benefits of walking are well understood, the physical design of sidewalks and their maintenance needs generally receive much less attention in both research and practice than the infrastructure used by other modes of transportation. As a result, we know comparatively little about how the design of sidewalks and quality of the overall pedestrian environment affect the decision to walk. In our study we conducted a household travel survey to collect data on walking frequency and attributes related to sidewalk quality and the quality of the walking environment in Albuquerque, New Mexico. We used summary statistics and statistical modeling …

Combining Virtual Reality And Machine Learning For Enhancing The Resiliency Of Transportation Infrastructure In Extreme Events, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala

Publications

Traffic management models that include route choice form the basis of traffic management systems. High-fidelity models that are based on rapidly evolving contextual conditions can have significant impact on smart and energy efficient transportation. Existing traffic/route choice models are generic and are calibrated on static contextual conditions. These models do not consider dynamic contextual conditions such as the location, failure of certain portions of the road network, the social network structure of population inhabiting the region, route choices made by other drivers, extreme conditions, etc. As a result, the model’s predictions are made at an aggregate level and for a …

Integrated Full-Scale Physical Experiments And Numerical Modeling Of The Performance And Rehabilitation Of Highway Embankments, Navid Jafari, Anand Puppala, Sayantan Chakraborty, Burak Boluk

Publications

The study aimed to fundamentally understand how soil strength and hydraulic properties are impacted by recurring cycles of wetting and drying induced by climate variability, with the practical implication of forecasting the stability of highway embankment slopes. The review of literature on the effects of long-term cyclic wetting-drying phases on hydro-mechanical properties of clayey soils suggests that only a few cycles of wetting and drying can impact the strength and hydraulic conductivity, where the latter can increase several orders of magnitude. Laboratory model-scale experiments of Louisiana and Texas soils are still ongoing and will relate the laboratory test results to …

Development Of Geopolymer-Based Cement And Soil Stabilizers For Transportation Infrastructure, Miladin Radovic, Anand Puppala

Publications

Geopolymer Cement (GPC) has drawn much attention in the recent years as an alternative to Ordinary Portland Cement (OPC) for soil stabilization, pavements, bridges and other transportation structures due to their good mechanical properties in comparison to OPC. In addition, GPC can be processed at room temperatures from aqueous solutions of waste materials (e.g. fly ash) or abundant natural sources (e.g. clay), thereby significantly reducing CO2 production associated with processing of OPC. As such, GPC proves to be a more sustainable and environmentally friendly alternative than OPC. This research explores methods to develop GPC with desired properties and evaluate their …

Drivers And Impacts Of Water Level Fluctuations In The Mississippi River Delta: Implications For Delta Restoration, Matthew Hiatt, John W. Day, Robert V. Rohli, John Andrew Nyman

Faculty Publications

This review synthesizes the knowledge regarding the environmental forces affecting water level variability in the coastal waters of the Mississippi River delta and relates these fluctuations to planned river diversions. Water level fluctuations vary significantly across temporal and spatial scales, and are subject to influences from river flow, tides, vegetation, atmospheric forcing, climate change, and anthropogenic activities. Human impacts have strongly affected water level variability in the Mississippi River delta and other deltas worldwide. Collectively, the research reviewed in this article is important for enhancing environmental, economic, and social resilience and sustainability by assessing, mitigating, and adapting to geophysical changes …

Locally Self-Consistent Embedding Approach For Disordered Electronic Systems, Yi Zhang, Hanna Terletska, Ka Ming Tam, Yang Wang, Markus Eisenbach, Liviu Chioncel, Mark Jarrell

Faculty Publications

We present an embedding scheme for the locally self-consistent method to study disordered electron systems. We test this method in a tight-binding basis and apply it to the single band Anderson model. The local interaction zone is used to efficiently compute the local Green's function of a supercell embedded into a local typical medium. We find a quick convergence as the size of the local interaction zone which reduces the computational costs as expected. This method captures the Anderson localization transition and accurately predicts the critical disorder strength. The present work opens the path towards the development of a typical …

Fate Of Hydrous Fe-Rich Silicate Melt In Earth's Deep Mantle, Zhixue Du, Jie Deng, Yoshinori Miyazaki, Ho Kwang Mao, Bijaya B. Karki, Kanani K.M. Lee

Faculty Publications

Density of silicate melt dictates melt migration and establishes the gross structure of Earth's interior. However, due to technical challenges, the melt density of relevant compositions is poorly known at deep mantle conditions. Particularly, water may be dissolved in such melts in large amounts and can potentially affect their density at extreme pressure and temperature conditions. Here we perform first-principles molecular dynamics simulations to evaluate the density of Fe-rich, eutectic-like silicate melt (E melt) with varying water content up to about 12 wt %. Our results show that water mixes nearly ideally with the nonvolatile component in silicate melt and …

Universal Molecular Processor For Precision Medicine, Steve A. Soper, Francis Barany, Sunggook Park, Michael Murphy, Collin J. Mckinney, John William Efcavitch, Mateusz L. Hupert

College of Science Patents

The present invention is directed to a device that comprises a biomolecular processor and one or more nanotubes. Each biomolecular processor comprises a bioreactor chamber defined by a solid substrate, a plurality of spaced support structures within said bioreactor chamber and attached to the solid substrate, and one or more capture molecules immobilized to some or all of said plurality of spaced support structures, said one or more capture molecules suitable to bind to a portion of a target nucleic acid molecule in a sample. The device also comprises one or more nanotubes defined by the solid substrate and fluidically …

A Productivity Collapse To End Earth’S Great Oxidation, Malcolm S.W. Hodgskiss, Peter W. Crockford, Yongbo Peng, Boswell A. Wing, Tristan J. Horner

Faculty Publications

© 2019 National Academy of Sciences. All rights reserved. It has been hypothesized that the overall size of—or efficiency of carbon export from—the biosphere decreased at the end of the Great Oxidation Event (GOE) (ca. 2,400 to 2,050 Ma). However, the timing, tempo, and trigger for this decrease remain poorly constrained. Here we test this hypothesis by studying the isotope geochemistry of sulfate minerals from the Belcher Group, in subarctic Canada. Using insights from sulfur and barium isotope measurements, combined with radiometric ages from bracketing strata, we infer that the sulfate minerals studied here record ambient sulfate in the immediate …

Multicomponent Model Of Crustal Stress At Cajon Pass, Southern California With Implications For Stress Field Heterogeneity, Elliott Conley Helgans

LSU Master's Theses

Earthquake processes in plate boundary settings are chiefly controlled by the in situ crustal stress field. Knowledge of the relative importance of various active processes acting on a fault system is necessary to understand the mechanics of faulting. This is of extreme importance to the Cajon Pass region of southern California, which may function as an earthquake gate, imposing control on large multifault ruptures. We model the in situ stress field at seismogenic depth in Cajon Pass by balancing the orientation of the modern stress field inferred from earthquake focal mechanisms against the superposition of the far field tectonic driving …

Sub-Tidal Hydrodynamics Of The Multi-Inlet Lake Pontchartrain Estuary Influenced By Mississippi River Diversion And Wind Associated With Atmospheric Fronts, Wei Huang

LSU Doctoral Dissertations

In-situ observations and a Finite Volume Community Ocean Model (FVCOM) are used to investigate the cold front induced sub-tidal hydrodynamics of Lake Pontchartrain, a semi-enclosed low-salinity estuary with multiple inlets connecting to the open ocean. Observations show that the sub-tidal hydrodynamic responses are highly correlated with the meteorological parameters during cold front events. Model results indicate that, under barotropic conditions, the remote wind effect has the greatest contribution to the overall water level variation, while the local wind stress during cold front events determines the slope for the water level inside the estuary. An examination of a quasi-steady state force …

Addressing Racial Disparities In Parent Training Enrollment: An Examination Of Help-Seeking For Child Behavior Problems Among African American Mothers, Kasia Plessy

LSU Doctoral Dissertations

The consideration of African American mothers’ mental health help-seeking attitudes and intentionsis important when developing culturally sensitive parent training programs and potentially help bridge a critical knowledge and service gap for this population. The purpose of this study is to examine the parental help-seeking for child externalizing behavior problems in order to delineate variables that might influence BPT enrollment among African American families. To address the lack of research considering cultural factors, this study examines the influence of racial group identification, cultural childrearing values, and mental health stigmatization on African American mothers’ problem recognition and willingness to engage in behavioral …

Modeling Chemical Reactivity In Aqueous And Organic Systems: From Electronic Structure Methods To Force Field Development, Caitlin Gibson Bresnahan

LSU Doctoral Dissertations

Modeling reactivity in chemical systems has evolved dramatically in line with the capabilities of modern computing. Despite the advances in computational ability, the level in which one can model a system depends on a number of factors including the region of reactivity, size of the system, level of sophistication required in the molecular description, and so on. Electronic structure methods allow for a detailed description of the potential energy surface and inherently include all essential physics required for reactivity to occur, however these methods are limited by their computational expense. On the other hand, force fields allow for an atomistic …

Deciphering Public Transit Ridership In Baton Rouge: Spatial Disaggregation Approaches, Xuan Kuai

LSU Doctoral Dissertations

Background: Surveys across the U.S. reveal that commuters driving personal vehicles spend a significant amount of time in traffic, while public transit, as an efficient commuting mode, has been largely underutilized.

Purpose: What causes a low public transit ridership? How could public transit ridership be explained by demographic, socio-economic and spatial characteristics of neighborhood? This study answers these questions by deciphering the relationships between public transit ridership and various factors in a medium-size city in southern U.S. – Baton Rouge, Louisiana.

Methods: Non-spatial and spatial data in a larger areal unit (e.g., block group) are used to infer demographic, socio-economic …

Histone H4 H75e Mutation Attenuates Global Genomic And Rad26-Independent Transcription-Coupled Nucleotide Excision Repair, Shisheng Li, Kathiresan Selvam, Sheikh Arafatur Rahman

Faculty Publications

Nucleotide excision repair (NER) consists of global genomic NER (GG-NER) and transcription coupled NER (TC-NER) subpathways. In eukaryotic cells, genomic DNA is wrapped around histone octamers (an H3-H4 tetramer and two H2A-H2B dimers) to form nucleosomes, which are well known to profoundly inhibit the access of NER proteins. Through unbiased screening of histone H4 residues in the nucleosomal LRS (loss of ribosomal DNA-silencing) domain, we identified 24 mutations that enhance or decrease UV sensitivity of Saccharomyces cerevisiae cells. The histone H4 H75E mutation, which is largely embedded in the nucleosome and interacts with histone H2B, significantly attenuates GG-NER and Rad26-independent …

A Two-Step Classification Platform To Classify Construction Sounds To Enhance Real-Time Construction Zone Monitoring, Jayati Halder Jui

LSU Master's Theses

In recent years, sounds generated from equipment used at a construction site have been found to be useful in identifying construction activities and associated equipment usage providing insightful information regarding project status and hazard issues. This study proposes a Two-Step Neural Classifier (TSNC) for accurate classification of real world construction sounds. Experimental results from real world construction site audio data showed an average classification accuracy of 98% for TSNC compared to 91% average accuracy for an ordinary (one-step) Artificial Neural Network (ANN). The TSNC model is a hierarchical model that exploits the idea of creating disjoint subgroups of construction sounds …

Generation Of An Oncolytic Adenovirus Targeting The Cxcr4 And Cxcr7 Chemokine Receptors In Breast Cancer, Samia Melissa O'Bryan

LSU Doctoral Dissertations

Breast cancer is the most diagnosed cancer in women under 60 and the second most diagnosed cancer in women over 60. While treatments for localized breast cancer are quite successful with high survival rates at 99%, advanced breast cancer remains hard to treat with a nearly 75% decrease in survival. Current treatments are inefficient at treating advanced stages of breast cancer, and thus, new therapies are sorely needed to address the complexity of advanced stage breast cancer. The ideal therapy would be capable of systemic administration, targets cancer cells and spares normal tissue. Oncolytic adenovirus is an ideal therapeutic vector …

Artificial Intelligence Based Wrist Fracture Classification, Dineep Thomas

LSU Master's Theses

The problem of predicting wrist fractures from X-rays using Artificial Intelligence (AI) methods is addressed. Wrist fractures are the most commonly misdiagnosed fractures because of the complex anatomical structure of the wrist bone which includes several different bones. This research provides a predictive solution to automate the process of wrist fracture classifications and outlines a visualization technique to identify the probable location of the fractured region on the X-rays. This thesis describes a deep learning based approach for wrist fracture classification. Deep convolutional neural network (CNN) based models have been used for wrist fracture classification by combining different optimization techniques. …

First Measurements Of The Spectral And Angular Distribution Of Transition Radiation Using A Silicon Pixel Sensor On A Timepix3 Chip, E. J. Schioppa, F. Dachs, J. Alozy, N. Belyaev, M. Campbell, M. Cherry, S. Doronin, K. Filippov, P. Fusco, F. Gargano, E. H.M. Heijne, S. Konovalov, D. Krasnopevtsev, X. Llopart, F. Loparco, V. Mascagna, M. N. Mazziotta, H. Pernegger, D. Ponomarenko, M. Prest, D. Pyatiizbyantseva, R. Radomskii, C. Rembser, A. Romaniouk, E. Shulga, S. Smirnov, Y. Smirnov, M. Soldani, P. Spinelli, D. Yu Sergeeva, A. A. Savchenko, D. Schaefer, M. Strikhanov

Faculty Publications

X-ray Transition radiation detectors (TRDs) are used for particle identification in both high energy physics and astroparticle physics. Particle identification is often achieved based on a threshold effect of the X-ray transition radiation (TR). In most of the detectors, TR emission starts at γ factors above ∼500 and reaches saturation at γ∼2−3⋅103. However, many experiments require particle identification up to γ∼105, which is difficult to achieve with current detectors, based only on the measurement of the photon energy together with the particle ionization losses. Additional information on the Lorentz factor can be extracted from the angular distribution of TR photons. …

Occurrence Of Aflatoxin And Zearalenone In Concentrate Feeds And Milk Contamination With Aflatoxin M1 And Bacterial Pathogens In Malawi, Chunala Alexico Njombwa

LSU Doctoral Dissertations

Multiple studies were conducted in Malawi to: 1) evaluate knowledge and perception of dairy farmers towards molds, mycotoxins and associated adverse effects; 2) evaluate dairy farmers’ knowledge and perception on milk contamination, proper milk handling practices and adverse health effects associated with raw milk consumption; 3) determine levels of aflatoxins and zearalenone (ZEN) in concentrate feedstuffs; 4) assess prevalence and levels of aflatoxin M₁(AFM₁) in raw milk, dietary exposure and estimate HCC risks to children and adults; 5) assess Salmonella and E. colicontamination in raw and processed milk from selected small scale farms and major …

Thylakoid Localized Bestrophin-Like Proteins Are Essential For The Co2 Concentrating Mechanism Of Chlamydomonas Reinhardtii, Ananya Mukherjee, Chun Sing Lau, Charlotte E. Walker, Ashwani K. Rai, Camille I. Prejean, Gary Yates, Thomas Emrich-Mills, Spencer G. Lemoine, David J. Vinyard, Luke C.M. Mackinder, James V. Moroney

Faculty Publications

© 2019 National Academy of Sciences. All rights reserved. The green alga Chlamydomonas reinhardtii possesses a CO2 concentrating mechanism (CCM) that helps in successful acclimation to low CO2 conditions. Current models of the CCM postulate that a series of ion transporters bring HCO3− from outside the cell to the thylakoid lumen, where the carbonic anhydrase 3 (CAH3) dehydrates accumulated HCO3− to CO2, raising the CO2 concentration for Ribulose bisphosphate carboxylase/oxygenase (Rubisco). Previously, HCO3− transporters have been identified at both the plasma membrane and the chloroplast envelope, but the transporter thought to be on the thylakoid membrane has not been identified. …

Seasonal Variability Of Forces Controlling Sedimentation In The Sundarbans National Forest, Bangladesh, Carol A. Wilson, E. J. Bomer

Faculty Publications

Southwest Bangladesh, located on the Ganges-Brahmaputra-Meghna delta, is experiencing the impacts of sea level rise (SLR) due to processes at both the local and global scale. In particular, regional alterations of the hydrodynamic network, due to embankment construction, have drastically altered effective SLR, placing millions of inhabitants at risk of prolonged inundation, and threatening the world's largest continuous mangrove stand, the Sundarbans National Forest (SNF). In order to effectively employ landscape recovery solutions, an understanding of local sediment transport and deposition is critical. This field-based study investigates the sediment dynamics between the mangrove platform and tidal channels of the SNF …

Visualizing The Fate And Distribution Of Pahs In Spartina And Avicennia Tissues From Barataria Basin, La, Kristina Jeannette Sebastian

LSU Master's Theses

During crude oil spill events, vegetation in marsh environments sequester polycyclic aromatic hydrocarbons (PAHs) from the crude oil by partitioning from the air phase through the waxy cuticle on the leaf surface. Recent studies from Macondo oil-impacted marshes have demonstrated that cycling of low molecular weight petrogenic PAHs occurs through the cuticle and other leaf tissue. At present, our understanding of how PAHs travel through the cuticle is coarse and limited by grab samples across the entire leaf, which preventing a full understanding the dynamics of PAH cycling in this environment. Multiphoton (MP) confocal microscopy visualizes the distribution of PAHs …

Life Satisfaction And Healthcare Utilization Among Immigrants To The United States, Merritt Christian Rachel Harrelson

LSU Master's Theses

Previous research suggests a relationship between life satisfaction and healthcare utilization or HCU (Habibov & Afandi, 2016; Kim, Park, Sun, Smith, & Peterson, 2014). However, no study was found that examined this relationship among elderly American immigrants. The purpose of this study was to determine whether life satisfaction is linked to HCU for this population. The researcher of the current study applied binary logistic regression to data taken from the Health and Retirement Survey to determine whether changes in life satisfaction could be linked to variance in HCU across seven domains, including hospitalization, overnight nursing home stays, doctors visits, dentist …