Digital Commons Network^™

An Integrated Network Representation Of Multiple Cancer-Specific Data For Graph-Based Machine Learning, L M. Pu, M Singha, H C. Wu, C Busch, L M. Pu, M Brylinski

Faculty Publications

Genomic profiles of cancer cells provide valuable information on genetic alterations in cancer. Several recent studies employed these data to predict the response of cancer cell lines to drug treatment. Nonetheless, due to the multifactorial phenotypes and intricate mechanisms of cancer, the accurate prediction of the effect of pharmacotherapy on a specific cell line based on the genetic information alone is problematic. Emphasizing on the system-level complexity of cancer, we devised a procedure to integrate multiple heterogeneous data, including biological networks, genomics, inhibitor profiling, and gene-disease associations, into a unified graph structure. In order to construct compact, yet information-rich cancer-specific …

Improving Kernel Artifact Extraction In Linux Memory Samples Using The Slub Allocator, Daniel A. Donze

LSU Master's Theses

Memory forensics allows an investigator to analyze the volatile memory (RAM) of a computer, providing a view into the system state of the machine as it was running. Examples of items found in memory samples that are of interest to investigators are kernel data structures which can represent processes, files, and sockets. The SLUB allocator is the default small-request memory allocator for modern Linux systems. SLUB allocates “slabs”, which are contiguous sections of pre-allocated memory that are used to efficiently service allocation requests. The predecessor to SLUB, the SLAB allocator, tracked every slab it allocated, allowing extraction of allocated slabs …

Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru

LSU Master's Theses

1600 (12%) of Louisiana's 13,000 bridges that allow the passage of people, goods, and services are load posted, meaning they are deemed incapable of securely carrying all legal loads. A machine learning framework for estimating the number of load-posted bridges within a regional bridge portfolio would be extremely valuable in the future for allocating essential resources during long-term planning. A framework of this type is necessary since a significant proportion of the bridges are load posted. Furthermore, deterioration due to aging and future increases in legal loads can compound this situation. In this setting, there is a lack of data-driven …

Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru

LSU Master's Theses

1600 (12%) of Louisiana's 13,000 bridges that allow the passage of people, goods, and services are load posted, meaning they are deemed incapable of securely carrying all legal loads. A machine learning framework for estimating the number of load-posted bridges within a regional bridge portfolio would be extremely valuable in the future for allocating essential resources during long-term planning. A framework of this type is necessary since a significant proportion of the bridges are load posted. Furthermore, deterioration due to aging and future increases in legal loads can compound this situation. In this setting, there is a lack of data-driven …

Sedimentation Processes In A Dredge Pit And Surrounding Environment In Northern Gulf Of Mexico, Adam M. Gartelman

LSU Master's Theses

Louisiana’s Coastal Protection and Restoration Authority has been using dredged sand from onshore and offshore sites for barrier island restoration and beach nourishment projects. Caminada dredge pit (CDP) located on eastern Ship Shoal in inner Louisiana shelf underwent two increments in 2014 and 2016, with material used to restore Caminada Headland and nearby areas. Multiple pits in East Terrebonne borrow areas (ET) right next to CDP were then used for East Timbalier Island and other barrier islands near Terrebonne Bay. ET1, north of CDP, was dredged in 2020, and ET2, west of CDP, was dredged in 2020 and 2021 used …

Malware And Memory Forensics On M1 Macs, Charles E. Glass

LSU Master's Theses

As malware continues to evolve, infection mechanisms that can only be seen in memory are increasingly commonplace. These techniques evade traditional forensic analysis, requiring the use of memory forensics. Memory forensics allows for the recovery of historical data created by running malware, including information that it tries to hide. Memory analysis capabilities have lagged behind on Apple's new M1 architecture while the number of malicious programs only grows. To make matters worse, Apple has developed Rosetta 2, the translation layer for running x86_64 binaries on an M1 Mac. As a result, all malware compiled for Intel Macs is theoretically functional …

Data Mining And Knowledge Discovery In Chemical Processes: Effect Of Alternative Processing Techniques, Luis A. Briceno-Mena, Miriam Nnadili, Michael G. Benton, Jose A. Romagnoli

Faculty Publications

Data mining and knowledge discovery (DMKD) focuses on extracting useful information from data. In the chemical process industry, tasks such as process monitoring, fault detection, process control, optimization, etc., can be achieved using DMKD. However, the selection of the appropriate method for each step in the DMKD process, namely data cleaning, sampling, scaling, dimensionality reduction (DR), clustering, clustering analysis and data visualization to obtain meaningful insights is far from trivial. In this contribution, a computational environment (FastMan) is introduced and used to illustrate how method selection affects DMKD in chemical process data. Two case studies, using data from a simulated …

A Case Study Of Protecting Bridges Against Overheight Vehicles, Aly Mousaad Aly, Marc Hoffmann

Faculty Publications

Most transportation departments have recognized and developed procedures to address the ever-increasing weights of trucks traveling on bridges in service today. Transportation agencies also recognize the issues with overheight vehicles’ collisions with bridges, but few stakeholders have definitive countermeasures. Bridges are becoming more vulnerable to collisions from overheight vehicles. The exact response under lateral impact force is difficult to predict. In this paper, nonlinear impact analysis shows that the degree of deformation recorded through the modeling of the unprotected vehicle-girder model provides realistic results compared to the observation from the US-61 bridge overheight vehicle impact. The predicted displacements are 0.229 …

Celebrating Wetland Foodways: Joining Ecosystems & Cultures On The Louisiana Gulf Coast, Deborah La Rue

LSU Master's Theses

Coastal Louisiana is bountiful in cultural and ecological diversity. Spotted with thriving estuaries, meandering bayous and swamps, and rippling grasses of coastal marshes, these wetland ecosystems sequester carbon, purify floodwaters, and buffer against storm surge. Historically, southern wetland landscapes have offered refuge to people of many folk and ethnic traditions escaping violence and oppression. Until the mid-twentieth century, the people living in present-day Terrebonne and Lafourche parishes enjoyed relative isolation from the rest of America, constructing cultural practices that emphasized attachment to wetland plants, animals, and ecosystem dynamics.

Today, changing environmental conditions and high rates of relative sea level rise …

Efficient Low Dimensional Representation Of Vector Gaussian Distributions, Md Mahmudul Hasan

LSU Doctoral Dissertations

This dissertation seeks to find optimal graphical tree model for low dimensional representation of vector Gaussian distributions. For a special case we assumed that the population co-variance matrix $\Sigma_x$ has an additional latent graphical constraint, namely, a latent star topology. We have found the Constrained Minimum Determinant Factor Analysis (CMDFA) and Constrained Minimum Trace Factor Analysis (CMTFA) decompositions of this special $\Sigma_x$ in connection with the operational meanings of the respective solutions. Characterizing the CMDFA solution of special $\Sigma_x$, according to the second interpretation of Wyner's common information, is equivalent to solving the source coding problem of finding the minimum …

Rheology And Filtration Properties Of Bentonite-Water Suspensions As Influenced By Lignocellulosic Nanomaterials And Water-Soluble Biopolymer Additives, Meen Sung Koo, Sun Young Lee, Qinglin Wu

Faculty Publications

Stability, structural morphology, and rheological and filtration properties of bentonite (BT)-water suspensions as influenced by the addition of lignocellulosic nanomaterials, including bleached nanofibrillated cellulose (NFC) and lignin-containing NFC (LNFC), and water-soluble polymers (WSPs) were investigated in this work. The performance of the formed fluids varied with the distinct fiber morphology and/or chemical composition of the NFC and LNFC. The NFC helped bridge BT particles for enhanced rheological performance but adversely affected filtration properties by forming thicker filter cakes. Reground NFC led to improved rheological properties owing to more individualized fibers with an enlarged surface area, but its effect on fluid …

A Performance Practice Guide For :Only.Just.Almost.Never For Solo Vibraphone By Jay Alan Yim, Dustin Ray Haigler

LSU Doctoral Dissertations

Abstract

Currently, there exists little scholarship on Dr. Jay Alan Yim’s percussion music, and none exists for :only.just.almost.never for solo vibraphone. Establishing a performance practice guide will allow future percussionists a glimpse into the compositional process of Yim and allow them to expand their repertoire to include this challenging music. The purpose of this project is to create a comprehensive performance practice guide for :only.just.almost.never for solo vibraphone by Jay Alan Yim.

Resources Required

This project relies mainly on the score of :only.just.almost.never for solo vibraphone. I have also conducted multiple interviews with Yim regarding his compositional process, sketches, and …

Hydrological Connectivity Between A Geographically Isolated Wetland And The Upper Floridan Aquifer, Nicholas Priehs

LSU Master's Theses

The Upper Floridan Aquifer is the primary source of freshwater for the majority of the southeastern United States. Increased stress on the Upper Floridan Aquifer due to irrigation has resulted in questions about the sustainability of the aquifer. Baker County, Georgia, has a high density of geographically isolated wetlands and of center pivot irrigation wells that are used to meet the demand for irrigation water. These wetlands respond to changes in precipitation and evapotranspiration, in the water level in surface streams, and in the water level of the Upper Floridan Aquifer. Understanding how the response of the wetlands has changed …

General Feature Extraction For Process Monitoring Using Transfer Learning Approaches, Wenbo Zhu, Jinhong Zhang, Jose Romagnoli

Faculty Publications

Data-driven methods have been widely used in process monitoring and fault detection areas. Despite that, most of these data-driven approaches are extremely specific, where the developed models can only be applied in the given process with the selected variables. The lack of generalization potentially limits its applications. This work mainly focuses on developing a model with better generalization ability and transferability for process data analytics. We proposed a transitional invariant feature extraction method using convolutional neural networks, which can learn features regardless of the size or sequence of the input. Such an approach allows the transfer learning so that the …

Progression Of Marsh Edge Erosion: Quantification And Conceptualization Of Shoreline Mechanisms In Terrebonne Bay, La, Amina Meselhe

Honors Capstones

No abstract provided.

Computer Science At Community Colleges: Attitudes And Trends, Trenton W. Dawson

LSU Doctoral Dissertations

This study aimed to understand the identity and attitude of students enrolled in computer science (CS) or programming-related course at community colleges nationwide. This study quantitatively evaluation data for estimating the relationships between students’ identity and attitudes toward computer science with prior programming experience and other demographic factors. I distributed the survey to community college faculty of computer science programs nationwide. Questions for this study were adapted from the Computing Attitude Survey developed by Weibe, Williams, Yang, & Miller (2003). Using two robust quantitative statistical methodologies, I investigated the correlations and predictability of previous programming experience, gender, race, and age …

Optimizing The Self-Healing Efficiency Of Hydrogel Encapsulated Bacteria In Concrete, Ricardo Hungria

LSU Master's Theses

Calcium carbonate precipitation through microbial means is a promising pathway for concrete self-healing technologies, mainly for its microcrack sealing attributes. The main goal of this project was to study and optimize the crack healing efficiency of hydrogel encapsulated bacteria in concrete. To achieve this purpose, Bacillus pseudiformus was implemented as the bacteria strain at a concentration of 10⁸ cells/ml. This bacterium strain along with yeast extract was combined along with three different mineral precursors corresponding to magnesium acetate, calcium lactate, and sodium lactate. All these three precursors were evaluated at two concentrations (67.76 mM/l and 75 mM/l). For each …

Tuning Properties Of Topological Insulators: An Ab-Initio Approach, Karunya Shailesh Shirali

LSU Doctoral Dissertations

This thesis develops a first-principles based approach to explore the tuning of topological properties of the tetradymite topological insulators. We begin by setting up a framework to systematically obtain the bulk and surface properties of topological insulators, treating the structural and electronic properties on an equal footing. We determine a consistent method for including the van der Waals interactions, which are responsible for the weak coupling between sets of atomic layers in this family of layered materials, which is important in obtaining accurate structural properties. We obtain close agreement with experimental values for both the bulk and surface states.

To …

A Deep Reinforcement Learning Approach With Prioritized Experience Replay And Importance Factor For Makespan Minimization In Manufacturing, Jose Napoleon Martinez

LSU Doctoral Dissertations

In this research, we investigated the application of deep reinforcement learning (DRL) to a common manufacturing scheduling optimization problem, max makespan minimization. In this application, tasks are scheduled to undergo processing in identical processing units (for instance, identical machines, machining centers, or cells). The optimization goal is to assign the jobs to be scheduled to units to minimize the maximum processing time (i.e., makespan) on any unit.

Machine learning methods have the potential to "learn" structures in the distribution of job times that could lead to improved optimization performance and time over traditional optimization methods, as well as to adapt …

Assembly Of Nanostructures At Solid-Liquid And Liquid-Air Interfaces, Yingzhen Ma

LSU Doctoral Dissertations

Molecular and nanoscale colloids such as surfactant, fatty acid and metallic nanoparticles are widely used in numerous applications such as detergents, biomedicine, and catalyst. The assemblies of these colloids show different morphological behavior in aqueous solution due to the wide range of intermolecular interactions such as hydrogen bonding, van der Waals, and electrostatics. The morphology of these assemblies can be changed by environmental factors including temperature, ionic strength, and salinity. However, the guidance to direct assembled state of colloidal assemblies at heterogenous interfaces under various external stimuli remains poorly understand. In this Ph.D. dissertation, we show the adsorption and reconfiguration …

Anticipating Stochastic Integrals And Related Linear Stochastic Differential Equations, Sudip Sinha

LSU Doctoral Dissertations

Itô’s stochastic calculus revolutionized the field of stochastic analysis and has found numerous applications in a wide variety of disciplines. Itô’s theory, even though quite general, cannot handle anticipating stochastic processes as integrands. There have been considerable efforts within the mathematical community to extend Itô’s calculus to account for anticipation. The Ayed–Kuo integral — introduced in 2008 — is one of the most recent developments. It is arguably the most accessible among the theories extending Itô’s calculus — relying solely on probabilistic methods. In this dissertation, we look at the recent advances in this area, highlighting our contributions. First, we …

Improving Memory Forensics Capabilities On Apple M1 Computers, Raphaela Santos Mettig Rocha

LSU Master's Theses

Malware threats are rapidly evolving to use more sophisticated attacks. By abusing rich application APIs such as Objective-C’s, they are able to gather information about user activity, launch background processes without the user’s knowledge as well as perform other malicious activities. In some cases, memory forensics is the only way to recover artifacts related to this malicious activity, as is the case with memory-only execution. The introduction of the Rosetta 2 on the Apple M1 introduces a completely new attack surface by allowing binaries of both Intel x86 64 and ARM64 architecture to run in userland. For this reason it …

Exploring Co-Planning Conversations As A Professional Development Activity For Mentors And Mentees At The Beginning Of A Yearlong Teacher Residency, Channing Parfait

LSU Doctoral Dissertations

In order to prepare pre-service teachers for their roles in the classroom, it is important to examine the rigor and purpose of the mentoring experience. This study explored the aspects of co-planning conversations that helped experienced and novice teachers expand their expertise and develop a mutually beneficial mentoring relationship at the beginning of a yearlong teacher residency model. While research on co-planning during the student teaching/residency experience exists, this research illuminated the importance of mentoring conversations early on in the teacher residency experience. Using a single case study design, observations, one-on-one interviews, and artifacts from four mentor-mentee dyads, data were …

Our Stories Light The Way: A Phenomenological Study Exploring The Experiences Of Black Women Stem Graduates From Predominantly White Institutions, Raeshan Davis

LSU Doctoral Dissertations

Grounded in a conceptual framework informed by Social Cognitive Career Theory, Intersectionality, and Community Cultural Wealth, this study explored the experiences of 17 Black women who graduated from STEM undergraduate programs at predominantly White institutions (PWIs). Utilizing a qualitative study approach provided rich, detailed insights into the internal and external contributors at play in the lives of the Black women who successfully navigated their STEM undergraduate programs at PWIs. Through the exploration of their individual and collective experiences, this study illuminated four major themes: (1) asserting one’s sense of belonging in the pursuit of a STEM career, (2) the value …

Seismic Inversion And Modeling For Improving Earthquake Hazard Assessment, Rasheed Ajala

LSU Doctoral Dissertations

The substantial research and the uncertain timeline to achieve deterministic earthquake prediction make the ground-shaking estimation of realistic earthquake scenarios a helpful approach in seismic hazard assessment. The accuracy of these computations depends on having structural subsurface models with good representations of sedimentary basins, fault zones, and crustal heterogeneity. We develop higher resolution seismic models for the Coachella Valley in Southern California and Indo-Burma. These areas have rising populations, expanding infrastructure, and highly anticipated disruptive earthquakes. We utilize data from recent seismic deployments and newly developed seismic imaging algorithms and the techniques of travel time tomography, wave propagation simulation, and …

Distributed Control And Learning Of Connected And Autonomous Vehicles Approaching And Departing Signalized Intersections, Joshua Onyeka Ogbebor

LSU Master's Theses

This thesis outlines methods for achieving energy-optimal control policies for autonomous vehicles approaching and departing a signalized traffic intersection. Connected and autonomous vehicle technology has gained wide interest from both research institutions and government agencies because it offers immense promise in advancing efficient energy usage and abating hazards that beset the current transportation system. Energy minimization is itself crucial in reducing the greenhouse emissions from fossil-fuel-powered vehicles and extending the battery life of electric vehicles which are presently the major alternative to fossil-fuel-powered vehicles. Two major forms of fuel minimization are studied. First, the eco-driving problem is solved for a …

Rethinking The Design Of Online Professor Reputation Systems, Haley Tatum

LSU Master's Theses

Online Professor Reputation (OPR) systems, such as RateMyProfessors.com (RMP), are frequently used by college students to post and access peer evaluations of their pro- fessors. However, recent evidence has shown that these platforms suffer from major bias problems. Failing to address bias in online professor ratings not only leads to negative expectations and experiences in class, but also poor performance on exams. To address these concerns, in this thesis, we study bias in OPR systems from a software design point of view. At the first phase of our analysis, we conduct a systematic literature review of 23 interdisciplinary studies on …

Gps Observations Of Subsidence In South Louisiana Over Seasonal And Sub-Seasonal Timescales Associated With Hydrologic Loading, Nicholas Schuler

LSU Master's Theses

Louisiana’s primary environmental concern is arguably coastal wetland loss due to high subsidence rates, previously estimated to range from 1-14 mm/yr across much of the coast. Spatially and temporally varying strong short-term and seasonal components of deformation associated with changes in hydrologic loading throughout the year can give information about the elastic properties of the shallow crust, having implications for better understanding long-term subsidence trends across the region. Therefore, we quantify and characterize vertical deformation that occurs on annual to sub-annual timescales across southeast Louisiana. Vertical deformation is evaluated using publicly available daily GPS positions from 2016–2020 at 16 stations …

Interneuronal Network Model Of Theta-Nested Fast Oscillations Predicts Differential Effects Of Heterogeneity, Gap Junctions And Short Term Depression For Hyperpolarizing Versus Shunting Inhibition, Guillem Via, Fernando R. Fernandez, John A. White, Carmen C. Canavier

Faculty Publications

No abstract provided.

Numerical Modeling Of Bulk Sediment Deposition And Scour In The Lower Mississippie River Physical Model, Ronald Joseph Rodi

LSU Doctoral Dissertations

Land loss restoration along the southeast Louisiana coast relies on the replenishment of sand from the sediment of the Mississippi River. To further the understanding of sediment transport and hydraulic characteristics of the lowermost segment of the river, the Louisiana Coastal Protection and Restoration Authority (CPRA) funded construction of the Lower Mississippi River Physical Model (LMRPM). This distorted-scale, movable bed model encompasses the lowermost 193-mile reach of the river, including from Donaldsonville, Louisiana to the Gulf of Mexico the Bonnet Carre Spillway and planned river sediment diversions.

Designed to replicate the prototypical river hydraulics and bulk bedload (sand) transport, scaled …