Digital Commons Network^™

Augmented Drug Combination Dataset To Improve The Performance Of Machine Learning Models Predicting Synergistic Anticancer Effects, Mengmeng Liu, Gopal Srivastava, J. Ramanujam, Michal Brylinski

Faculty Publications

Combination therapy has gained popularity in cancer treatment as it enhances the treatment efficacy and overcomes drug resistance. Although machine learning (ML) techniques have become an indispensable tool for discovering new drug combinations, the data on drug combination therapy currently available may be insufficient to build high-precision models. We developed a data augmentation protocol to unbiasedly scale up the existing anti-cancer drug synergy dataset. Using a new drug similarity metric, we augmented the synergy data by substituting a compound in a drug combination instance with another molecule that exhibits highly similar pharmacological effects. Using this protocol, we were able to …

Weathering Influences The Ice Nucleation Activity Of Microplastics, Philip Brahana, Mingyi Zhang, Elias Nakouzi, Bhuvnesh Bharti

Faculty Publications

Microplastics are being increasingly detected in the atmosphere at altitudes relevant to mixed-phase cloud formation. However, the extent to which microplastics, along with their dynamic surface properties resulting from environmental weathering, could influence atmospheric microphysical processes remains largely unexplored. Here, through a series of ice nucleation experiments and droplet freezing assays, we highlight the capability of model polyethylene microplastics to induce heterogeneous ice nucleation via immersion freezing under atmospherically relevant conditions. We find that sunlight-induced weathering of the microplastic surface influences the structure of surface-bound water molecules and dictates the ice nucleation activity of the microplastics. Using polyethylene, polypropylene, polystyrene, …

Theoretical And Experimental Analysis Of The Modulated Phase Grating X-Ray Interferometer, Hunter Meyer, Joyoni Dey, Sydney Carr, Kyungmin Ham, Leslie G. Butler, Kerry M. Dooley, Ivan Hidrovo, Markus Bleuel, Tamas Varga, Joachim Schulz, Thomas Beckenbach, Konradin Kaiser

Faculty Publications

X-ray grating interferometry allows for the simultaneous acquisition of attenuation, differential-phase contrast, and dark-field images, resulting from X-ray attenuation, refraction, and small-angle scattering, respectively. The modulated phase grating (MPG) interferometer is a recently developed grating interferometry system capable of generating a directly resolvable interference pattern using a relatively large period grating envelope function that is sampled at a pitch that is small enough that X-ray spatial coherence can be achieved by using a microfocus X-ray source or G0 grating. We present the theory of the MPG interferometry system for a 2-dimensional staggered grating, derived using Fourier optics, and we compare …

Assessment Of Nucleic Acid Extraction Protocols For Antibiotic Resistance Genes (Args) Quantification In Aircraft Wastewater, Wendy J.M. Smith, Yawen Liu, Stuart L. Simpson, Aaron Bivins, Warish Ahmed

Faculty Publications

This study evaluated ten nucleic acid extraction protocols (EP1 to EP10) for measuring five endogenous antibiotic resistance genes (ARGs) in four aircraft wastewater samples (AWW1 to AWW4). The targeted ARGs, including blaCTX-M, blaNDM-1, ermB, qnrS, and tetA, encompassed highly and minimally abundant ARGs. TetA and ermB were consistently detected across four aircraft wastewater samples using the DNeasy Blood and Tissue Kit and the AllPrep PowerViral DNA/RNA kit. QnrS displayed high detection rates with specific extraction protocols and aliquot volumes. Concentrations of ARGs varied across aircraft wastewater samples, with differing extraction protocols influencing quantitative results. The concentrations of tetA, ermB, and …

On The Damping And Fatigue Characterization Of Additively Manufactured Ti-6al-4v, Peyton J. Wilson, Elaheh Azizian-Farsani, Mikyle Paul, Michael M. Khonsari, Shuai Shao, Nima Shamsaei

Faculty Publications

With the recent implementation of additively manufactured parts into industrial applications, there is a dire need for nondestructive evaluation methods to qualify if these components are fit for service due to their sensitivity to processing conditions. The Impulse Excitation Technique (IET) is applied to additively manufactured Ti-6Al-4V bending specimens to determine natural frequencies and damping properties in order to predict fatigue performance relative to specimens fabricated with different processing parameters. From the damping and natural frequency results, it was found that the specimens, fabricated with intentional underheating to induce lack of fusion defects, had the lowest damping value in the …

Detecting N-Phenyl-2-Naphthylamine, L-Arabinose, D-Mannose, L-Phenylalanine, L-Methionine, And D-Trehalose Via Photocurrent Measurement, Feng Li, Ruoxi Yang, Jian Xu, Guohai Xu, Ye Wu

Faculty Publications

The concentration of small molecules reflects the normality of physiological processes in the human body, making the development of simple and efficient detection equipment essential. In this work, inspired by a facile strategy in point-of-care detection, two devices were fabricated to detect small molecules via photocurrent measurement. A linear response of the photocurrent against the concentration of the small molecules was found. In the first device, metal ions were introduced into gel substrates made by xanthan gum to enhance photocurrent response. N-phenyl-2-naphthylamine was measured when iron or manganese ions were used. L-Phenylalanine was measured when the gel was modified by …

Employing Raman Spectroscopy And Machine Learning For The Identification Of Breast Cancer, Ya Zhang, Zheng Li, Zhongqiang Li, Huaizhi Wang, Dinkar Regmi, Jian Zhang, Jiming Feng, Shaomian Yao, Jian Xu

Faculty Publications

Background: Breast cancer poses a significant health risk to women worldwide, with approximately 30% being diagnosed annually in the United States. The identification of cancerous mammary tissues from non-cancerous ones during surgery is crucial for the complete removal of tumors. Results: Our study innovatively utilized machine learning techniques (Random Forest (RF), Support Vector Machine (SVM), and Convolutional Neural Network (CNN)) alongside Raman spectroscopy to streamline and hasten the differentiation of normal and late-stage cancerous mammary tissues in mice. The classification accuracy rates achieved by these models were 94.47% for RF, 96.76% for SVM, and 97.58% for CNN, respectively. To our …

Hydrodynamic Simulations Of White Dwarf-White Dwarf Mergers And The Origin Of R Coronae Borealis Stars, Sagiv Shiber, Orsola De Marco, Patrick M. Motl, Bradley Munson, Dominic C. Marcello, Juhan Frank, Patrick Diehl, Geoffrey C. Clayton, Bennett N. Skinner, Hartmut Kaiser, Gregor Daiß, Dirk Pflüger, Jan E. Staff

Faculty Publications

We study the properties of double white dwarf (DWD) mergers by performing hydrodynamic simulations using the new and improved adaptive mesh refinement code octo-tiger. We follow the orbital evolution of DWD systems of mass ratio for tens of orbits until and after the merger to investigate them as a possible origin for R Coronae Borealis (RCB) type stars. We reproduce previous results, finding that during the merger, the helium WD donor star is tidally disrupted within 20-80 min since the beginning of the simulation onto the accretor carbon-oxygen WD, creating a high temperature shell around the accretor. We investigate the …

Insights Into Core-Mantle Differentiation From Bulk Earth Melt Simulations, Abin Shakya, Dipta B. Ghosh, Colin Jackson, Gabriele Morra, Bijaya B. Karki

Faculty Publications

The earth is thought to have gone through complex physicochemical changes during the accretion and magma ocean stages. To better understand this evolution process at the fundamental level, we investigate the behavior of a bulk earth melt system by simulating the composition Fe35.7Mg19.0Si15.2O30.2 (in wt%) at high pressure. A deep neural network potential trained by first-principles data can enable accurate molecular dynamics simulation of large supercells that greatly enhances sampling for reliable evaluation of elemental partitioning. Our simulated system undergoes a phase separation in which the four elements clump together to different extents into two major domains. Based on the …

Avocado Seed Extract Encapsulated In Zein Nanoparticles As A Functional Ingredient, Thanida Chuacharoen, Chantana Polprasert, Cristina M. Sabliov

Faculty Publications

Nano-delivery of natural compounds has gained increasing attention in the food and pharmaceutical ingredients industry. Avocado seed was extracted by a total lipid extraction and the presence of two acetogenin compounds was confirmed by the high-performance liquid chromatography (LC-MS) technique. Then, the avocado seed extract (Avo) was encapsulated into zein nanoparticles by liquid-liquid dispersion and the formation of zein nanoparticles loaded with avocado seed extract (Avo-ZNPs) was confirmed by FTIR analysis. The Avo-ZNPs with various Avo contents showed an average size ranging from 166.9 ± 14.1 to 305.2 ± 16.2 nm with 0.19–0.26 of polydispersity index (PDI), and a surface …

Cryo-Em Structure Of A Photosystem I Variant Containing An Unusual Plastoquinone Derivative In Its Electron Transfer Chain, Christopher J. Gisriel, Vasily Kurashov, David F. Iwig, Brandon P. Russell, David J. Vinyard, Gary W. Brudvig, John H. Golbeck, K. V. Lakshmi

Faculty Publications

Photosystem I (PS I) is a light-driven oxidoreductase responsible for converting photons into chemical bond energy. Its application for renewable energy was revolutionized by the creation of the MenB deletion (ΔmenB) variant in the cyanobacterium Synechocystis sp. PCC 6803, in which phylloquinone is replaced by plastoquinone-9 with a low binding affinity. This permits its exchange with exogenous quinones covalently coupled to dihydrogen catalysts that bind with high affinity, thereby converting PS I into a stable solar fuel catalyst. Here, we reveal the 2.03-Å-resolution cryo-EM structure of a recent MenB variant of PS I. The quinones and their binding environment are …

Beyond Surrealism: The Developing Keyboard Style Of André Souris, Melanie T. Mallard

LSU Doctoral Dissertations

André Souris (1899-1970) is perhaps best known as a musical contributor to the Belgian surrealist group founded by Paul Nougé, but he assumed many roles throughout his life, including composer, writer, director, and promoter of modern music. His various interests influenced the style of his compositions, which remain largely unpublished and have received little scholarly attention beyond researchers of surrealism. Through this survey of many of Souris’ works for keyboard, I attempt to lay the groundwork for further discussion about Souris’ musical contributions not only through the lens of surrealism but also throughout his compositional career. This descriptive analysis of …

Metabolic Scaling, Energy Allocation Tradeoffs, And The Evolution Of Humans’ Unique Metabolism, Andrew K. Yegian, Steven B. Heymsfield, Eric R. Castillo, Manfred J. Müller, Leanne M. Redman, Daniel E. Lieberman

Clinical Research Faculty Publications

All organisms use limited energy to grow, survive, and reproduce, necessitating energy allocation tradeoffs, but there is debate over how selection impacted metabolic budgets and tradeoffs in primates, including humans. Here, we develop a method to compare metabolic rates as quotients of observed relative to expected values for mammals corrected for size, body composition, environmental temperature, and phylogenetic relatedness. Contrary to previous analyses, these quotients reveal that nonhuman primates have total metabolic rates expected for similar-sized mammals in similar environments. In addition, data from several small-scale societies show that humans evolved exceptionally high resting, activity, and total metabolic rates apparently …

Understanding Mechanisms For Coastal Marsh Sustainability In A Changing Climate, Ashley R. Booth

LSU Doctoral Dissertations

In the Chenier Plain of Louisiana and Texas, coastal marshes are subject to high rates of relative sea level rise (RSLR), restricted sedimentation, and declining elevation attributed to subsidence and decades of intensive management. These marshes were created via mineral sedimentation but now largely accrete via organic matter accumulation. This organic matter accumulation (OMA) – or the balance between plant productivity and decomposition – is essential for maintaining elevation and thus long-term sustainability. However, management for elevation is complicated by a poor understanding of how abiotic factors like flooding and salinity impact processes driving OMA and elevation. To better understand …

Safeguarding Ecological Knowledge From The Effects Of Climate Change: An Archival Approach, Daena Jean Carrillo

LSU Doctoral Dissertations

Creating resources that facilitate the preservation of community-based archives and ecological knowledge in the Louisiana coastal region is integral to its survival amongst the effects of climate change. Research and records created and stored within the Louisiana coastal region have a higher predisposition to the drastic and pervasive effects of climate change and natural disasters. Modern archivists can insert themselves into the work of climate change action through their advocacy of safeguarding collections that have been created by communities and individuals through raw scientific and observational data and unpublished research. Just as archivists continue to frame their professional work around …

Integrated Sustainability Analysis Of A Shared Micro-Mobility System In University Campus: Life-Cycle Assessment And User Impact Study Of Electric Scooters, Md Afif Rahman Chowdhury

LSU Master's Theses

The objective of this study is to evaluate the environmental, economic, and social impacts of implementing e-scooter technology on the LSU campus. The study is structured into three main parts: (1) an environmental life-cycle assessment of e-scooters, (2) a comparative environmental and economic impact assessment of e-scooters, cars, and campus shuttle buses, and (3) a comprehensive survey of e-scooter users to assess their characteristics, satisfaction levels, and comfort while using e-scooters on the LSU campus.

To achieve the objectives of the study, a life-cycle assessment (LCA) was conducted to assess the environmental sustainability of e-scooters, encompassing all stages from raw …

Next Generation Permeable Pavement For Enhanced Durability And Functionality, S M Tanvir

LSU Master's Theses

Porous Asphalt Concrete (PAC), also known as Open-Graded Friction Course (OGFC), is known for its high permeability, which provides benefits such as enhanced rainwater drainage, improved skid resistance, and reduced hydroplaning risks. These characteristics are due to its high air void content, allowing water to flow through the pavement and reducing splash, spray, and noise compared to conventional asphalt mixes. However, this high air void content also contributes to durability concerns, such as raveling, stripping, and clogging, which can reduce service life and increase costs, making OGFC more expensive than conventional asphalt mixtures.

This research focuses on identifying the failure …

Vision-Language Integration For Enhanced Locomotion Mode Prediction, Ehsan Ahmadi

LSU Master's Theses

Wearable exoskeletons offer significant potential in enhancing human mobility in industrial environments. However, their adaptability to dynamic, task-intensive settings presents challenges, especially in accurately predicting locomotion modes such as ladder climbing, stair navigation, low-space movement, and obstacle navigation. This research proposes a multimodal framework that integrates visual data and speech commands to improve locomotion mode prediction in unpredictable environments. Multimodal data was collected using smart glasses, capturing both the user’s perspective (field-of-view, FOV) and voice during locomotion tasks. State-of-the-art models—CLIP, ImageBind, and GPT-4o—process these visual and linguistic inputs to predict locomotion activities. The models were evaluated in zero-shot and fine-tuned …

Development And Comparative Assessment Of Rt-Qpcr And Duplex Rt-Lamp Assays For The Monitoring Of Aichi Virus A (Aiv-A) In Untreated Wastewater Samples, Mariah C.A. Do Nascimento, Wendy J.M. Smith, Yawen Liu, Stuart L. Simpson, Aaron Bivins, Paula Rahal, Warish Ahmed

Faculty Publications

Diverse enteric pathogens, transmitted through human and animal feces, can cause gastroenteritis. Enteric viruses, such as human Aichi virus, specifically genotype A (AiV-A), are emerging pathogens that cause illnesses even at low doses and are spreading globally. This research developed a reverse transcription quantitative polymerase chain reaction (RT-qPCR) assay targeting the 3CD junction and a reverse transcription colorimetric loop-mediated isothermal amplification (RT-cLAMP) duplex assay targeting junctions 2BC and 3CD of the AiV-A genome for rapid and sensitive detection of this virus in metropolitan and regional wastewater samples in Queensland, Australia. The performance of these assays was evaluated using control materials …

Measuring And Modeling Grease Degradation, Alan Gurt

LSU Doctoral Dissertations

Lubricating grease is an ideal lubricant for many devices such as roller bearings, journal bearings, slide bearings, gears, and many types of joints due to its simplicity. Once grease is put in place, it can often provide adequate lubrication for extended periods of time without the need for a complex supply system that would generally be needed for oil lubrication. However, during prolonged use, various degradation mechanisms change the physical and chemical properties of grease, possibly leading to inadequate performance and machinery failure.

In order to succinctly quantify the degradation of grease, it is essential to have robust, meaningful test …

Forensicllm: A Local Large Language Model For Digital Forensics, Binaya Sharma

LSU Master's Theses

Large Language Models (LLMs) excel in diverse natural language tasks but often lack specialization in fields like digital forensics. Their reliance on cloud-based APIs or high-performance computers restricts their use in resource-limited environments, and response hallucinations could compromise their applicability in forensic contexts. We introduce ForensicLLM, a 4-bit quantized LLaMA-3.1-8B model fine-tuned using Retrieval Augmented Fine-tuning (RAFT) on 6,739 Q&A samples extracted from 1,082 digital forensic research articles and curated digital artifacts. Evaluation on 2,244 Q&A samples showed that ForensicLLM outperformed the base LLaMA-3.1-8B model by 4.06%, 5.43%, and 15.79% on BERTScore F1, BGE-M3 cosine similarity, and G-Eval, respectively. Compared …

Development Of Machine Learning-Based Tool For Prediction Of Long-Term Field Performance Of Asphalt Concrete Overlays In A Hot And Humid Climate, Elise Mansour

LSU Doctoral Dissertations

The performance of pavement plays a critical role in Maintenance, Rehabilitation and Reconstruction (MR&R) for highway agencies. Reliable and accurate estimation of pavement performance can be instrumental in prioritization of the limited resources and funding for highway agencies. The latter requires robust prediction models that can handle large-scale, real-world data and can forecast pavement performance in the long run. Unfortunately, the traditional performance prediction models have raised concerns regarding their efficiency and accuracy. It is because these models were based on a limited number of explanatory variables, were not up-to-date and were designed for forecasting short-term (up to five years) …

Effect Of Workload And Trust On Automation Levels In Human-Robot Collaboration, Abhiram Maddula

LSU Master's Theses

Automation is becoming increasingly common in manufacturing and assembly plants. The future lies in hybrid workspaces where the strengths of humans and robots complement each other, with robots excelling in precision, speed, and strength, and humans excelling in creativity, emotional intelligence, and complex decision-making. Collaborative robots can foster a more efficient and productive work environment by bridging the gap between human and machine capabilities. This study examines how semi-automated and automated modes impact human-robot collaboration, focusing on mental workload, trust, and task performance.

In this experiment, 58 participants performed a primary task alongside a collaborative robot assembling a miniature lamppost …

Gastrointestinal Ischemia In The Horse: Preoperative Detection And Surgical Intervention, Michael P. St. Blanc

LSU Master's Theses

The objective of this study was to evaluate the utility of calprotectin, a protein released by activated leukocytes during inflammation, in the detection of gastrointestinal ischemia in horses with signs of abdominal pain (colic). Additionally, one-layer end-to-end anastomoses of the descending colon were critically evaluated in comparison to two-layer closures. For the calprotectin portion of the study, samples were obtained from ten control horses and nineteen clinical cases assigned to three treatment groups (non-strangulating, strangulating small intestinal, or strangulating large intestinal lesions). Objective data was collected from each patient, and calprotectin concentration in serum and peritoneal fluid was determined using …

Evaluating Growth Of Coastal Grass In Recycled Glass Sand: Evidence For Safe Application In Coastal Restoration, Allison B. Huddleston

Honors Capstones

Louisiana’s coastal land loss results from complex interactions of anthropogenic and naturally occurring processes that impact sediment supply in the Mississippi river delta. Given the coastline's vital role in the state’s economy, Louisiana has made significant investments in coastal restoration projects, including planting native vegetation and adding borrowed sediments. The amount of sediment needed to maintain Louisiana’s existing coastline exceeds the available amount that could be extracted, and state officials have since identified this lack of sustainable sediment resources as a critical limitation for future restoration projects. One proposed solution to address this shortage is using recycled crushed glass cullet …

Mobilizing The Masks Of Carnaval For A Re-Reading Of Zobel's Rue Cases-Nègres, Benjamin E. Tilson

Tête à Tête: Journal of Francophone Studies

The identity of Caribbean literature, subject to the forces of domination and exclusion, has long been contested from both within and outside of its field. Alternately described as imitating, reappropriating, indigenizing and reductionist, Caribbean writers have sought to carve out a space for works that are received as authentic without recourse to fetishes. Drawing upon the works of Maryse Condé, the Creolists and anthropologic studies of Carnaval, the present work attempts to analyze what might be termed alternative narratives, characters and symbols in Joseph Zobel’s novel La Rue Cases-Nègres and its filmic adaptation by Euzhan Palcy through the lens of …

Les Structures Identitaires Et Mémorielles Dans Nom De Constance Debré, Aditi Khasa

Tête à Tête: Journal of Francophone Studies

Cet article propose une lecture parallèle du roman Nom de Constance Debré, à travers le prisme théorique de la mémoire collective et de ses multiples mécanismes. En mobilisant les concepts développés par Maurice Halbwachs et Jan Assmann, l’analyse met en lumière les différentes sphères de mémoire, leur influence dominante, ainsi que leur rôle dans la construction de l'identité de l'auteure. Cette étude interroge la fonction de l'écriture pour Debré et son importance dans son processus d'émancipation. L’essai explore également la manière dont les structures de mémoire et d'identité sont articulées et évoluent au sein du récit.

Belonging And Heroic Non-Conformity In Marie-Célie Agnant's Femmes Aux Temps Des Carnassiers, Danica L E Guerrero

Tête à Tête: Journal of Francophone Studies

In an effort to maintain power in an authoritarian state, dictators target, silence, and eliminate those unwilling to conform. In Marie-Célie Agnant's 2015 novel Femmes aux temps des carnassiers, Mika Pelrin and her daughter Soledad are kidnapped, raped, and tortured by the Tonton Macoutes because of Mika's refusal to be silenced by the Duvalier regime in 1958. Through this fictional account based on appalling historical events and the tragic fate of journalist Yvonne Hakim Rimpel, Agnant insists on the vital societal role played by courageous women like her defiant character Mika who, through nonconformity and at the risk of their …

Les Expressions Erronées Dans La Traduction De Certains Francisants À Tai Solarin University Of Education, Malik Garba, Tajudeen Salaudeen

Tête à Tête: Journal of Francophone Studies

La traduction est tout simplement la transposition du message d’une langue de départ vers une langue d’arrivée pour exprimer la même réalité. Cette recherche vise à nous élucider sur ce que c’est la traduction et la performance linguistique des apprenants Anglophones : le cas des apprenants du français en troisième année à Tai Solarin University of Education (TASUED) dans l’état d’Ogun au Nigéria. Nous avons décidé de travailler sur une dizaine d’étudiants faisant le français pédagogique. Il s’avère nécessaire de mentionner que certaines phrases anglaises étaient tirées de l’ouvrage de Femi Ojo-Ade (2017) d’où les apprenants sont persuadés de fournir …

Des Rois Anglais Qui Parlent Français : Une Etude Sur La Situation Linguistique En Angleterre Après La Conquête Normande, Trent Dunkin

Tête à Tête: Journal of Francophone Studies

Prior to 1066, England was ruled by the Germanic speaking Anglo-Saxons. However, after the defeat of Harold II at the Battle of Hastings, William the Conqueror became King of England, ushering in a lengthy era in which English monarchs were primarily francophone. This article explores the linguistic situation in England before, during, and after the Norman Conquest of 1066. Specifically, this article looks at the Anglo-Norman dialect as a distinct Langue d’Oïl, focusing primarily on its phonetics, syntax, and orthography, using examples found in Laüstic and Chèvrefeuille, two lais written by Marie de France in the late 12 …