Physical Sciences and Mathematics Commons^™

Gas Phase Structure Characterization Of Host-Guest Systems Using Ion Mobility Spectrometry, Jamir Shrestha

Theses and Dissertations

This dissertation focuses on the investigation of gas-phase characteristics of cucurbituril host-guest systems using ion mobility spectrometry (IMS) and related techniques. Collision cross-sections (CCS) of alkylammonium complexes of cucurbit[n]uril (CB[n]) are measured to understand the allosteric interactions that induce conformational changes in the complex in the presence of metal cations on one of the portals of the cucurbit[6]uril (CB[6]) host. Cationic species on one CB[6] rim sterically force longer linear alkylammonium guests out of the cucurbituril cavity during complex formation. Similarly, rigid cucurbituril-metal complexes were studied using IMS to demonstrate the effect of long-range ion-neutral interactions on the gas phase …

Bayesian Solar Wind Modeling With Pulsar Timing Arrays, Jeffrey S. Hazboun, Joseph Simon, Dustin R. Madison, Zaven Arzoumanian, H. Thankful Cromartie, Kathryn Crowter, Megan E. Decesar, Paul B. Demorest, Timothy Dolch, Justin A. Ellis, Robert D. Ferdman, Elizabeth C. Ferrara, Emmanuel Fonseca, Peter A. Gentile, Glenn Jones, Megan L. Jones, Michael T. Lam, Lina Levin, Duncan R. Lorimer, Ryan S. Lynch, Maura A. Mclaughlin, Cherry Ng

Pacific Faculty Work

Using Bayesian analyses we study the solar electron density with the NANOGrav 11 yr pulsar timing array (PTA) data set. Our model of the solar wind is incorporated into a global fit starting from pulse times of arrival. We introduce new tools developed for this global fit, including analytic expressions for solar electron column densities and open source models for the solar wind that port into existing PTA software. We perform an ab initio recovery of various solar wind model parameters. We then demonstrate the richness of information about the solar electron density, n E , that can be gleaned …

Machine Learning Based Medical Image Deepfake Detection: A Comparative Study, Siddharth Solaiyappan, Yuxin Wen

Engineering Faculty Articles and Research

Deep generative networks in recent years have reinforced the need for caution while consuming various modalities of digital information. One avenue of deepfake creation is aligned with injection and removal of tumors from medical scans. Failure to detect medical deepfakes can lead to large setbacks on hospital resources or even loss of life. This paper attempts to address the detection of such attacks with a structured case study. Specifically, we evaluate eight different machine learning algorithms, which include three conventional machine learning methods (Support Vector Machine, Random Forest, Decision Tree) and five deep learning models (DenseNet121, DenseNet201, ResNet50, ResNet101, VGG19) …

A Nematode Community-Based Integrated Productivity Efficiency (Ipe) Model That Identifies Sustainable Soil Health Outcomes: A Case Of Compost Application In Carrot Production, A. Habteweld, A. Kravchencko, Parwinder Grewal, H. Melakeberhan

School of Earth, Environmental, & Marine Sciences Faculty Publications

Percent soil organic matter (SOM), pH and crop yield are among the biophysicochemical process-driven soil health indicators (SHIs). However, identifying sustainable soil health conditions using these SHIs is limited due to the lack of Integrated Productivity Efficiency (IPE) models. We define IPE as a concept that identifies best-to-worst-case soil health outcomes by assessing the effect of agronomic practices on weighted abundance of functional guilds (WAFG) of beneficial soil organisms and SHIs simultaneously. Expressing WAFG of all beneficial nematodes (x-axis) and SHIs (y-axis) as a percent of untreated control and regression of x and y reveals four quadrants describing worst-to-best-case outcomes …

Approval Of Quality Assurance Project Plan [Qapp], 2022, Butte Mine Flooding Operable Unit And Butte Priority Soils Operable Unit, Private Well Monitoring Program, Dated November 2021, Revised Version Received February 10, 2022, Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Beam-Spin Asymmetry Σ For Σ- Hyperon Photoproduction Off The Neutron, N. Zachariou, E. Munevar, B. L. Berman, P. Bydžovský, A. Cieplý, G. Feldman, Y. Ilieva, P. Nadel-Turonski, D. Skoupil, A. V. Sarantsev, D. P. Watts, M. J. Amaryan, G. Angelini, W. R. Armstrong, H. Atac, H. Avakian, L. Barion, M. Bashkanov, M. Battaglieri, Steffen Strauch, Et. Al.

Faculty Publications

We report a new measurement of the beam-spin asymmetry, Σ, for the γn → K ⁺ Σ− reaction using quasi-free neutrons in a liquid-deuterium target. The new dataset includes data at previously unmeasured photon energy and angular ranges, thereby providing new constraints on partial wave analyses used to extract properties of the excited nucleon states. The experimental data were obtained using the CEBAF Large Acceptance Spectrometer (CLAS), housed in Hall B of the Thomas Jefferson National Accelerator Facility (JLab). The CLAS detector measured reaction products from a liquid-deuterium target produced by an energy-tagged, linearly polarised photon beam with energies in …

A New Perspective On A Polynomial Time Knot Polynomial, Robert John Quarles

LSU Doctoral Dissertations

In this work we consider the Z1(K) polynomial time knot polynomial defined and
described by Dror Bar-Natan and Roland van der Veen in their 2018 paper ”A polynomial time knot polynomial”. We first look at some of the basic properties of Z1(K), and develop an invariant of diagrams Ψm(D) related to this polynomial. We use this invariant as a model to prove how Z1(K) acts under the connected sum operation. We then discuss the effect of mirroring the knot on Z1(K), and described a geometric interpretation of some of the building blocks of the invariant. We then use these to …

Performing Memory Forensics For Object Recovery From Android Application Memory, Sneha Sudhakaran

LSU Doctoral Dissertations

The analysis of application-specific behavior has become an increasingly important technique in cyber forensics and incident response. The ability to determine the precise actions taken by a user can be the difference between a successful analysis and one that fails to meet its goals. The precise actions includes URLs visited, files downloaded, messages sent and received, images viewed, and data accessed. Evidence extraction from application memory at runtime is an effective solution to successfully extract valuable objects allocated by each application, and it is evident that there is a need for more Android forensics analysis tools that support recovering evidence …

Improving White Dwarfs As Chronometers With Gaia Parallaxes And Spectroscopic Metallicities, Adam Moss, Ted Von Hippel, Elliot Robinson, Kareem El-Badry, David C. Stenning, David Van Dyk, Morgan Fouesneau, Coryn A.L. Bailer-Jones, Elizabeth Jeffery, Jimmy Sargent, Isabelle Kloc, Natalie Moticska

Publications

White dwarfs (WDs) offer unrealized potential in solving two problems in astrophysics: stellar age accuracy and precision. WD cooling ages can be inferred from surface temperatures and radii, which can be constrained with precision by high-quality photometry and parallaxes. Accurate and precise Gaia parallaxes along with photometric surveys provide information to derive cooling and total ages for vast numbers of WDs. Here we analyze 1372 WDs found in wide binaries with main-sequence (MS) companions and report on the cooling and total age precision attainable in these WD+MS systems. The total age of a WD can be further constrained if its …

Materialsatlas.Org: A Materials Informatics Web App Platform For Materials Discovery And Survey Of State-Of-The-Art, Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves Louis, Edirisuriya M.D. Siriwardane, Yong Zhao, Lai Wei

Faculty Publications

The availability and easy access of large-scale experimental and computational materials data have enabled the emergence of accelerated development of algorithms and models for materials property prediction, structure prediction, and generative design of materials. However, the lack of user-friendly materials informatics web servers has severely constrained the wide adoption of such tools in the daily practice of materials screening, tinkering, and design space exploration by materials scientists. Herein we first survey current materials informatics web apps and then propose and develop MaterialsAtlas.org, a web-based materials informatics toolbox for materials discovery, which includes a variety of routinely needed tools for exploratory …

A Mathematical Model For The Adoption Of Information And Communication Technology In School Libraries In Nigeria, Helen Olubunmi Jaiyeola Akinade, Jeremiah Ademola Balogun, Peter Adebayo Idowu

Library Philosophy and Practice (e-journal)

This study focused on the development of a mathematical model required for estimating the number of adopters of ICT devices among libraries located in Nigeria. Data for this study was collected from 121 respondents selected based on a research survey approach using simple random sampling. 9 ICT devices were identified, namely: PCs, printers/fax machines, search engines, e-library systems, bulk SMS services, library management systems, bar/QR code readers, projectors and video conferencing. The results showed that the earliest ICT devices were adopted for use in 1997, such as: PCs, printers/fax machines and search engines. The remaining ICT devices were adopted in …

Energy Extraction From Black Holes, Alexandra Chanson

Student Research Symposium

I will discuss some background on black hole magnetohydrodynamics and then explore some recent results in higher-dimensional monopole power extraction

Sum Of Mobius Functions Over The Shifted Primes, Nelson Carella

Publications and Research

This article provides an asymptotic result for the summatory Mobius function ∑ p≤x μ(p + a) = O (x log−c x) over the shifted primes, where a ̸ = 0 is a fixed parameter, and c > 1 is a constant.

Predicting Post-Heart Transplant Composite Renal Outcome Risk In Adults: A Machine Learning Decision Tool, Mutlu Mete, Mehmet U.S. Ayvaci, Venkatesh K. Ariyamuthu, Alpesh Amin

Faculty Publications

No abstract provided.

General Stochastic Calculus And Applications, Pujan Shrestha

LSU Doctoral Dissertations

In 1942, K. Itô published his pioneering paper on stochastic integration with respect to Brownian motion. This work led to the framework for Itô calculus. Note that, Itô calculus is limited in working with knowledge from the future. There have been many generalizations of the stochastic integral in being able to do so. In 2008, W. Ayed and H.-H. Kuo introduced a new stochastic integral by splitting the integrand into the adaptive part and the counterpart called instantly independent. In this doctoral work, we conduct deeper research into the Ayed–Kuo stochastic integral and corresponding anticipating stochastic calculus.

We provide a …

Cybersecurity And Threat Modeling, Kumar Setty

Computer Science Research Seminars and Symposia

An introduction to cybersecurity and threat modeling.

Advanced Communication And Sensing Protocols Using Twisted Light And Engineered Quantum Statistics, Michelle L. Lollie

LSU Doctoral Dissertations

Advanced performance of modern technology at a fundamental physical level is driving new innovations in communication, sensing capability, and information processing. Key to this improvement is the ability to harness the power of physical phenomena at the quantum mechanical level, where light and light-matter interactions produce technological advancement not realizable by classical means. Theoretical investigation into quantum computing, sensing capability beyond classical limits, and quantum information has prompted experimental work to bring state-of-the-art quantum systems to the forefront for commercial use. This dissertation contributes to the latter portion of the work. A set of preliminaries is included highlighting pertinent physical …

Sediment Buffering And Recycling On An Annual To Centennial Scale Along The Mississippi River, Nikki E. Neubeck

LSU Master's Theses

Although the Mississippi River and its tributaries have been investigated for many years, the alteration of the river through dams, levees, and diversions has affected how sediment is transported from source to sink (>10³ y). Previous provenance research using detrital zircon U-Pb dating indicates a slow transport time from source-to-sink, but recent anthropogenic alterations of the river may potentially diminish the transportation time of heavy minerals due to an increase in flow efficiency. The objective of this study is to analyze the degree of buffering and recycling of Mississippi River sediment over a range of short time scales, …

Evaluating Gizzard Shad Dorosoma Cepedianum Populations In Two Kentucky Reservoirs Recently Invaded With Silver Carp Hypopthalmichthys Molitrix, Nathan Klein

Scholars Week

Gizzard Shad Dorosoma cepedianum are an ecologically important fish species found in many reservoirs throughout the southeastern United States such as Kentucky Lake and Lake Barkley. One current challenge that Gizzard Shad may face in these two reservoirs is competition with the invasive Silver Carp Hypophthalmichthys molitrix. However, quantifying the impacts of this competition may be difficult because of limited baseline population data for Gizzard Shad in these two reservoirs. The objective of this study is to describe size structure, condition, age, growth, mortality, and spawning potential of these two populations. Gizzard Shad were collected by boat electrofishing and …

Multimodal Multi-Head Convolutional Attention With Various Kernel Sizes For Medical Image Super-Resolution, Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae Verga, Nicolae-Cătălin Ristea, Fahad Shabaz Khan

Computer Vision Faculty Publications

Super-resolving medical images can help physicians in providing more accurate diagnostics. In many situations, computed tomography (CT) or magnetic resonance imaging (MRI) techniques output several scans (modes) during a single investigation, which can jointly be used (in a multimodal fashion) to further boost the quality of super-resolution results. To this end, we propose a novel multimodal multi-head convolutional attention module to super-resolve CT and MRI scans. Our attention module uses the convolution operation to perform joint spatial-channel attention on multiple concatenated input tensors, where the kernel (receptive field) size controls the reduction rate of the spatial attention and the number …

Improving Negation Detection With Negation-Focused Pre-Training, Hung Thinh Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor

Natural Language Processing Faculty Publications

Negation is a common linguistic feature that is crucial in many language understanding tasks, yet it remains a hard problem due to diversity in its expression in different types of text. Recent work has shown that state-of-the-art NLP models underperform on samples containing negation in various tasks, and that negation detection models do not transfer well across domains. We propose a new negation-focused pre-training strategy, involving targeted data augmentation and negation masking, to better incorporate negation information into language models. Extensive experiments on common benchmarks show that our proposed approach improves negation detection performance and generalizability over the strong baseline …

Observation Of B0 →Ψ(2s)K0SΠ+Π− And B0S→Ψ(2s)K0S Decays, A. Tumasyan

Department of Physics and Astronomy: Faculty Publications

Using a data sample of √ s = 13 TeV proton-proton collisions collected by the CMS experiment at the LHC in 2017 and 2018 with an integrated luminosity of 103 fb⁻¹, the B⁰_s → ψ(2S)K⁰_S and B⁰ → ψ(2S)K⁰_Sπ ⁺ π ⁻ decays are observed with significances exceeding 5 standard deviations. The resulting branching fraction ratios, measured for the first time, correspond to B(B⁰_s → ψ(2S)K⁰_S)/B(B⁰ → ψ(2S)K⁰_S) = (3.33 ± 0.69(stat) ± 0.11 (syst) ± 0.34 ( …

Wrapper And Hybrid Feature Selection Methods Using Metaheuristic Algorithms For English Text Classification: A Systematic Review, Osamah Mohammed Alyasiri, Yu N. Cheah, Ammar Kamal Abasi, Omar Mustafa Al-Janabi

Machine Learning Faculty Publications

Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in reducing error rates, computation time, overfitting, and improving classification accuracy. It has demonstrated its efficacy in myriads of domains, ranging from its use for text classification (TC), text mining, and image recognition. While there are many traditional FS methods, recent research efforts have been devoted to applying metaheuristic algorithms as FS techniques for the TC task. However, there are few literature reviews concerning TC. …

Measurement Of Two-Particle Correlations Of Hadrons In E+E-Collisions At Belle, Y. C. Chen, Y. J. Lee, P. Chang, I. Adachi, H. Aihara, S. Al Said, D. M. Asner, T. Aushev, R. Ayad, V. Babu, P. Behera, K. Belous, J. Bennett, M. Bessner, T. Bilka, D. Bodrov, J. Borah, M. Bračko, P. Branchini

Faculty and Student Publications

The measurement of two-particle angular correlation functions in high-multiplicity e+e-collisions at s=10.52 GeV is reported. In this study, the 89.5 fb-1 of hadronic e+e-annihilation data collected by the Belle detector at KEKB are used. Two-particle angular correlation functions are measured in the full relative azimuthal angle (Δφ) and three units of pseudorapidity (Δη), defined by either the electron beam axis or the event-shape thrust axis, and are studied as a function of charged-particle multiplicity. The measurement in the thrust axis analysis, with mostly outgoing quark pairs determining the reference axis, is sensitive to the region of additional soft gluon emissions. …

Can Superoxide-Responsive Co Delivery Molecules Be Developed?, Taylor Dittmar

Student Research Symposium

Although known for its toxicity, carbon monoxide (CO) has now been identified as producing beneficial health effects when present at low concentrations. CO is generated in the human body during the breakdown of heme. It is known for its anti-cancer, cardioprotective, and anti-inflammatory effects. To enhance these therapeutic effects, CO delivery molecules have been developed. Fluorescent flavonol-based CO delivery molecules are gaining broad interest due to their triggerable, trackable, and targetable properties. Flavonols can also be used as dual functioning molecules, with additional capabilities such as the detection of reactive oxygen species (ROS) being possible to incorporate in addition to …

Does Cannabidiol Affect The Physical Properties Of Anhydrous Milk Fat And Palm Kernel Oil?, Joseph Cooney

Student Research Symposium

As cannabidiol (CBD) is added to more and more foods, it becomes increasingly important to study the effects that this CBD has on the physical properties of the lipids in which they are dissolved, which is the objective of this study. The viscosity, hardness, melting profile, crystal size, and solidification over time are studied for anhydrous milk fat (AMF) and palm kernel oil (PKO). Concentrations by mass of 1% and 2.5% CBD are added to each lipid, and these concentrations are tested against a pure lipid control. AMF is crystallized at 26 C, and PKO is crystallized at 22 C …

Hidden Symmetries In Black Holes, Luis Fernando Temoche

Student Research Symposium

Our objective is to show the existence of conformal symmetries in rotating black hole solutions near its event horizon. To do so, we are going to study the cases of both Kerr BH and 5D Myers-Perry BH. In particular, by applying certain coordinate transformations, we will be able exploit this conformal invariance from its geometry as well as the dynamics of scalar fields propagating on this particular background. The invariance allows as to describe strongly coupled systems, conformal field theories to be specific, in lower dimensions.

Finding Higher Order Interactions Using Local Corex, Thomas Kerby

Student Research Symposium

In applications such as financial markets, social networks, and gene expression data, the variables often interact in complex ways. Yet accurately characterizing pairwise variable interactions can be a difficult task, let alone efficiently characterizing complex higher-order interactions, which is an unsolved problem. This difficulty is exacerbated when variable interactions change across the data. For example, gene interactions in single-cell RNA-sequencing (scRNA-seq) data will typically differ from one cell type to another. To solve these problems, we propose a new method called Local Correlation Explanation (CorEx). Local CorEx captures higher-order variable interactions at a local scale by first clustering data points …

The Connections Between Musculoskeletal Injury And Global Reaction, Keaton Reel

Student Research Symposium

The peripheral effects of severe musculoskeletal injury are a well-studied phenomenon, but less well studied are the neural deficits. Past research has demonstrated that such severe injuries, specifically torn and reconstructed anterior cruciate ligament (ACL), may increase cognitive burden due to lack of afferent feedback from damaged nerves. This has previously shown to lead to delayed voluntary reactions in the lower extremities, but global neural changes are currently unknown. The goal of the conducted research was to determine whether neuromuscular deficits due to ACL injury and reconstruction in one limb influences motor behavior on a global level. Simple reaction time, …

Investigating Position 312 In Prmt1 For Future Fluorescent Labeling Studies, Sarah Nielson

Student Research Symposium

Protein arginine methyltransferase 1 (PRMT1) is an enzyme that post-translationally methylates other proteins in the cell. These methylation events play critical roles in maintaining cellular health. Labeling PRMT1 site-specifically will enable further research in PRMT1 oligomeric state in vivo and can be applied in future fluorescent studies. The intention of this research was to identify a position to label PRMT1 that does not affect oligomerization or activity. Position 312 was chosen as the site for specific tagging as it will have less interference in oligomerization, minimizes free rotation of fluorescent tags, and is surface-exposed. To confirm that position 312 was …