Physical Sciences and Mathematics Commons^™

Finding Patterns In The Inertia Of The Distance Squared Matrix Of Unicyclic Graphs, Kellon Sandall, Mark Kempton, Christian Howell

Undergraduate Honors Theses

We analyze the spectrum of the distance squared matrix of a tree and give a relation between the inertia of the distance squared matrix and the structure of the tree. We take the result one step further and consider the addition of exactly one cycle in the tree. We obtain an expression for the inertia of the distance squared matrix of a cycle graph. We obtain a bound on the inertia of the distance squared matrix of an arbitrary unicyclic graph.

Symmetry Progression And Possible Polar Metallicity In Nips3 Under Pressure, Nathan Harms, Takahiro Matsuoka, Subhasis Sanmanta, Amanda J. Clune, Kevin A. Smith, Amanda V. Haglund, Erxi Feng, Huibo Cao, Jesse S. Smith, David Mandrus, Heung-Sik Kim, Zhenxian Liu, Janice L. Musfeldt

Chemistry Publications and Other Works

van der Waals solids are ideal platforms for the discovery of new states of matter and emergent properties under external stimuli. Under pressure, complex chalcogenides like MPS₃ (M = Mn, Ni, Co, V) host sliding and structural transitions, insulator-to-metal transitions, the possibility of an orbitally-selective Mott state, piezochromism, and superconductivity. In this work, we bring together diamond anvil cell techniques, infrared and Raman scattering spectroscopies, and X-ray diffraction with a detailed symmetry analysis and first-principles calculations to uncover a series of high-pressure phases in NiPS₃. Remarkably, we find five different states of matter between ambient …

Maternal Lineage And Habitat Use Patterns Explain Variation In The Fecundity Of A Critically Endangered Baleen Whale, Ana L. Bishop, Leah M. Crowe, Philip K. Hamilton, Erin L. Meyer-Gutbrod

Faculty Publications

The critically endangered North Atlantic right whale population (Eubalaena glacialis) has experienced multiple periods of decreased reproduction within its observable history, which have played a role in the overall decline of the species. In addition to this synchronized variation in reproduction across the population, there exists considerable individual variation in fecundity. To determine the impacts of family history and habitat use behavior on these individual variations in fecundity, photo identification data collected during four decades of visual monitoring were used to create a calving index for sexually mature females that could be used to evaluate matrilineal influence on …

Gas Phase Techniques For The Study Of Biomolecular And Supramolecular Structures And Chemistry, Andrew J. Arslanian

Theses and Dissertations

This dissertation expounds on the investigations of the structure and chemistry of peptides and supramolecular host-guest systems in the gas phase. These investigations used two different kinds of analytical instrument: Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) and ion mobility mass spectrometry (IM-MS, IMS). These investigations were complemented by chemical modeling. The FTICR was used to radially trap ions with its 4.7 T magnet, which allowed the ions to undergo sustained off-resonance irradiation collision-induced dissociation (SORI-CID). A subsequent event then measured the collision cross sections (σ) of the targeted precursor ion and one of the selected product ions. These …

Determining American Sign Language Joint Trajectory Similarity Using Dynamic Time Warping (Dtw), Rohith Mandavilli

Computer Science Senior Theses

As American Sign Language (ASL), the language used by Deaf/Hard of Hearing (D/HH) Americans has grown in popularity in recent years, an unprecedented number of schools and organizations now offer ASL classes. Many hold misconceptions about ASL, assuming it is easily learned; however due to its rich, complex grammatical construction, it’s not mastered easily beyond a basic level. Therefore, it becomes ever more important to improve upon existing techniques to teach ASL. The Dartmouth Applied Learning Initiative (DALI) at Dartmouth college in coordination with the Robotics and Reality Lab developed an application on the Oculus Quest that helps D/HH individuals …

What-Is And How-To For Fairness In Machine Learning: A Survey, Reflection, And Perspective, Zeyu Tang, Jiji Zhang, Kun Zhang

Machine Learning Faculty Publications

Algorithmic fairness has attracted increasing attention in the machine learning community. Various definitions are proposed in the literature, but the differences and connections among them are not clearly addressed. In this paper, we review and reflect on various fairness notions previously proposed in machine learning literature, and make an attempt to draw connections to arguments in moral and political philosophy, especially theories of justice. We also consider fairness inquiries from a dynamic perspective, and further consider the long-term impact that is induced by current prediction and decision. In light of the differences in the characterized fairness, we present a flowchart …

Using Smart Foodscapes To Enhance The Sustainability Of Western Rangelands, Juan J. Villalba

Funded Research Records

No abstract provided.

Improving On Atmospheric Turbulence Profiles Derived From Dual Beacon Hartmann Turbulence Sensor Measurements, Alexander S. Boeckenstedt, Jack E. Mccrae, Santasri Bose-Pillai, Benjamin Wilson

Faculty Publications

Atmospheric turbulence is an inevitable source of wavefront distortion in all fields of long range laser propagation and sensing. However, the distorting effects of turbulence can be corrected using wavefront sensors contained in adaptive optics systems. Such systems also provide deeper insight into surface layer turbulence, which is not well understood. A unique method of profile generation by a dual source Hartmann Turbulence Sensor (HTS) technique is introduced here. Measurements of optical turbulence along a horizontal path were taken to create C2n profiles. Two helium-neon laser beams were directed over an inhomogeneous horizontal path and captured by the HTS. The …

Metabolomic Analysis, Identification And Antimicrobial Assay Of Two Mangrove Endophytes, Stephen Thompson

USF Tampa Graduate Theses and Dissertations

Natural products have played major roles in drug discovery and provided sources for many new drugs. Secondary metabolites, also called natural products, are organic compounds that are produced from fungi, bacteria, and other living organisms. Secondary metabolites produced by endophytic fungi include alkaloids, phenols, peptides, enzymes, polyketides, and terpenes. Endophytic fungi are rich sources of secondary metabolites and demonstrate bioactivity against many human pathogens including the ESKAPE pathogens. This thesis explores the diverse roles of endophytic fungi and their production of unique secondary metabolites for potential drug discovery and development. Secondary metabolites from two endophytic fungi (EG10-21E-2-HDAC & TAP14-34A-2-HDAC), collected …

Draft Final 2021 Unreclaimed Sites Sampling Ur-38 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2022 Revised Draft Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Video Anomaly Detection: Practical Challenges For Learning Algorithms, Keval Doshi

USF Tampa Graduate Theses and Dissertations

Anomaly detection in surveillance videos is attracting an increasing amount of attention. Despite the competitive performance of several existing methods, they lack theoretical performance analysis, particularly due to the complex deep neural network architectures used in decision making. Additionally, real-time decision making is an important but mostly neglected factor in this domain. Much of the existing methods that claim to be online, depend on batch or offline processing in practice. Furthermore, several critical tasks such as continual learning, model interpretability and cross-domain adaptability are completely neglected in existing works. Motivated by these research gaps, in this dissertation we discuss our …

A Digital Application For Assessment Of Neurocognitive Disabilities, Thomas H. Auriemma

Theses and Dissertations

Background: Neuropsychological assessment is designed to identify neurocognitive impairment and has traditionally relied on pen-and-paper tests. The behavior collected from these tests is usually expressed as a total summary score or a score that reflects a restricted number of features that assess errors. There is now interest in coupling traditional paper and pencil tests with digital assessment technology. In this context traditional metrics such as summary scores are still available. However, using digital technology, a host of time-based parameters can now be obtained. These time-based parameters include the total time to complete the task or total time to completion, as …

Using Graph Theoretical Methods And Traceroute To Visually Represent Hidden Networks, Jordan M. Sahs

UNO Student Research and Creative Activity Fair

Within the scope of a Wide Area Network (WAN), a large geographical communication network in which a collection of networking devices communicate data to each other, an example being the spanning communication network, known as the Internet, around continents. Within WANs exists a collection of Routers that transfer network packets to other devices. An issue pertinent to WANs is their immeasurable size and density, as we are not sure of the amount, or the scope, of all the devices that exists within the network. By tracing the routes and transits of data that traverses within the WAN, we can identify …

The Dynamic Floor Of Yellowstone Lake, Wyoming, Usa: The Last 14 K.Y. Of Hydrothermal Explosions, Venting, Doming, And Faulting, L. A. Morgan, W. C.P. Shanks, K. L. Pierce, N. Iverson, C. M. Schiller, S. R. Brown, P. Zahajska, R. Cartier, R. W. Cash, J. L. Best, C. Whitlock, Sherilyn C. Fritz, U.S. Geological Survey, H. Lowers, D. A. Lovalvo, J. M. Licciardi

Department of Earth and Atmospheric Sciences: Faculty Publications

Hydrothermal explosions are significant potential hazards in Yellowstone National Park, Wyoming, USA. The northern Yellowstone Lake area hosts the three largest hydrothermal explosion craters known on Earth empowered by the highest heat flow values in Yellowstone and active seismicity and deformation. Geological and geochemical studies of eighteen sublacustrine cores provide the first detailed synthesis of the age, sedimentary facies, and origin of multiple hydrothermal explosion deposits.New tephrochronology and radiocarbon results provide a four-dimensional view of recent geologic activity since recession at ca. 15–14.5 ka of the >1-km-thick Pinedale ice sheet.

The sedimentary record in Yellowstone Lake contains multiple hydrothermal explosion …

Bbt Side Mold Assy, Bill Hemphill

STEM Guitar Project’s BBT Acoustic Kit

This electronic document file set covers the design and fabrication information of the ETSU Guitar Building Project’s BBT (OM-sized) Side Mold Assy for use with the STEM Guitar Project’s standard acoustic guitar kit. The extended 'as built' data set contains an overview file and companion video, the 'parent' CADD drawing, CADD data for laser etching and cutting a drill &/or layout template, CADD drawings in AutoCAD .DWG and .DXF R12 formats of the centerline tool paths for creating the mold assembly pieces on an AXYZ CNC router, and support documentation for CAM applications including router bit specifications, feeds, speed, multi-pass …

Using Nuradiomc To Study The Performance Of Uhe Radio Neutrino Detectors, S. Bouma, B. Clark, P. Giri, C. Glaser, S. Hallmann, N. Heyer, Ilya Kravchenko, A. Nelles, B. Oeyen, I. Plaisier, L. Pyras, F. Schlüter, C. Welling

Department of Physics and Astronomy: Faculty Publications

NuRadioMC is an open-source, Python-based simulation and reconstruction framework for radio detectors of ultra-high energy neutrinos and cosmic rays. Its modular design makes NuRadioMC suitable for use with a range of past, current and future detectors. In addition, the recent deployment of a complete documentation as well as a pip release make NuRadioMC relatively easy to learn and use. Here, we outline the features currently available and under development in NuRadioMC, with a focus on its usage to simulate and study in-ice radio neutrino detectors.

The Radio Neutrino Observatory Greenland (Rno-G): Status Update, Steffen Hallmann

Department of Physics and Astronomy: Faculty Publications

The Radio Neutrino Observatory in Greenland (RNO-G) is an in-ice radio detector for ultrahigh energy neutrinos with the potential to make the first detection of a neutrino shower beyond ∼10 PeV via the Askaryan emission. With a projected 90% CL upper limit below 𝐸²Φ ≈ 10⁻⁸ GeV/cm²/s/sr within 10 years of operation, RNO-G will reach realistic models of GZK and astrophysical neutrino fluxes. In 2021, the first three stations of RNO-G were installed and started data-taking. Four additional stations were added in 2022 with some upgrades to the station hardware. Here, we present the current …

Searching For Air Showers With Rno-G, Jakob Henrichs

Department of Physics and Astronomy: Faculty Publications

The Radio Neutrino Observatory – Greenland (RNO-G) is an in-ice neutrino detector, using radio emission to target the first measurement of neutrinos beyond PeV energies. In total 35 stations are planned for the detector, resulting in a detection volume of around 100 km³. Each of these stations is equipped with deep antennas embedded ∼ 100 m into the ice and downward-pointing log-periodic dipole antennas (LPDA) buried ∼ 3 m into the snow. At each station, three additional buried LPDA are pointing towards the sky and thus can be used to look for cosmic-ray induced air-showers. These air showers are a …

Angular Resolution For The Radio Neutrino Observatory Greenland (Rno-G), Ilse Plaisier

Department of Physics and Astronomy: Faculty Publications

In the ultra-high energy regime, the low predicted neutrino fluxes are out of reach for currently running neutrino detectors. Larger instrumented volumes are needed to probe these lowfluxes. The Radio Neutrino Observatory Greenland (RNO-G) detects in-ice radio waves emitted by neutrino induced particle showers in the Greenlandic ice sheet. Radio waves have a large attenuation length in ice O(1 km) and therefore RNO-G implements a sparse instrumentation to cover an unprecedented volume. The first seven RNO-G stations have been deployed in the summer of 2021 and 2022 and deployment will be ongoing in the next years. This contribution discusses …

Investigating Student Engagement In General Chemistry Active Learning Activities Using The Activity Engagement Survey (Aces), Nicole Naibert, Jack Barbera

Chemistry Faculty Publications and Presentations

Investigating student engagement in active learning activities could provide valuable insight into variations of student learning outcomes when active learning is included in a course. This study sought to explore students’ engagement in relation to active learning activities incorporated in a general chemistry lecture course using the Activity Engagement Survey (AcES). The AcES can be used to simultaneously assess students’ overall engagement, as well as dimensions above and beyond overall engagement including their combined behavioral/cognitive engagement, emotional engagement, and social engagement. As students’ engagement may be influenced by aspects related to the learning environment and context, differences in engagement were …

Synthesis And Antibacterial Testing Of Novel Thiosulfonate Compounds, Lindsay I. Blume

USF Tampa Graduate Theses and Dissertations

Methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Staphylococcus aureus (VRSA) are increasing concerns in the medical community. In addition to the threat of Staphylococcus aureus, the increase in number and severity of infections caused by other antibiotic-resistant bacteria is problematic to human health, particularly among the ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter). The antibiotics like the penicillins and cephalosporins used commonly to treat MRSA, VRSA, and ESKAPE pathogens have continued to decline in the effectiveness. Our laboratory has developed a number of new families of anti-MRSA and anti-VRSA antibacterial compounds. In this thesis, …

Development Of Cooperative Catalytic Systems And Bimetallic Catalysts For Organic Synthesis, Kelton Guy Forson

Theses and Dissertations

The development of new catalysts for organic synthesis is an important pursuit that enables the discovery of new and more efficient reactions and the identification of new reaction mechanisms. Cooperative catalytic systems and bimetallic catalysts represent unique approaches to catalyst development that achieve reactivity that cannot be obtained with a single catalyst or metal. These types of catalysts can activate substrates in unique ways, facilitate reactions under mild conditions, increase substrate scope, and provide access to completely new transformations. The first part of this work describes the development of a cooperative nickel-titanium-catalyzed amination of allylic alcohols. The cooperative effects of …

Modeling Inter-Particle Magnetic Correlations In Magnetite Nanoparticle Assemblies Using X-Ray Magnetic Scattering Data, Johnathon Michael Rackham

Theses and Dissertations

Magnetic nanoparticles are used in nanotechnologies and biomedical applications, such as drug targeting, hyperthermia, MRI contrasting agents, and bio-separation of compound solutions. Magnetite (Fe3O4) nanoparticles stand to be effective in these roles due to the non-toxic nature of magnetite and its ease of manufacture. To this end, a greater understanding of the magnetic behavior of the individual magnetite nanoparticles is needed when a collection of them is used. This research seeks to discover the local magnetic ordering of ensembles of magnetite nanoparticles at various stages of the magnetization process, temperatures above and below their blocking temperature, and for various particle …

Unomaha Problem Of The Week (2021-2022 Edition), Brad Horner, Jordan M. Sahs

UNO Student Research and Creative Activity Fair

The University of Omaha math department's Problem of the Week was taken over in Fall 2019 from faculty by the authors. The structure: each semester (Fall and Spring), three problems are given per week for twelve weeks, with each problem worth ten points - mimicking the structure of arguably the most well-regarded university math competition around, the Putnam Competition, with prizes awarded to top-scorers at semester's end. The weekly competition was halted midway through Spring 2020 due to COVID-19, but relaunched again in Fall 2021, with massive changes.

Now there are three difficulty tiers to POW problems, roughly corresponding to …

Probing The Link Between Pancratistatin And Mitochondrial Apoptosis Through Changes In The Membrane Dynamics On The Nanoscale, Stuart R. Castillo, Brett W. Rickeard, Mitchell Dipasquale, Michael H.L. Nguyen, Aislyn Lewis-Laurent, Milka Doktorova, Batuhan Kav, Markus S. Miettinen, Michihiro Nagao, Elizabeth G. Kelley, Drew Marquardt

Chemistry and Biochemistry Publications

Pancratistatin (PST) is a natural antiviral alkaloid that has demonstrated specificity toward cancerous cells and explicitly targets the mitochondria. PST initiates apoptosis while leaving healthy, noncancerous cells unscathed. However, the manner by which PST induces apoptosis remains elusive and impedes the advancement of PST as a natural anticancer therapeutic agent. Herein, we use neutron spin-echo (NSE) spectroscopy, molecular dynamics (MD) simulations, and supporting small angle scattering techniques to study PST's effect on membrane dynamics using biologically representative model membranes. Our data suggests that PST stiffens the inner mitochondrial membrane (IMM) by being preferentially associated with cardiolipin, which would lead to …

Learning To Control Under Time-Varying Environment, Yuzhen Han, Ruben Solozabal, Jing Dong, Xingyu Zhou, Martin Takac, Bin Gu

Machine Learning Faculty Publications

This paper investigates the problem of regret minimization in linear time-varying (LTV) dynamical systems. Due to the simultaneous presence of uncertainty and non-stationarity, designing online control algorithms for unknown LTV systems remains a challenging task. At a cost of NP-hard offline planning, prior works have introduced online convex optimization algorithms, although they suffer from nonparametric rate of regret. In this paper, we propose the first computationally tractable online algorithm with regret guarantees that avoids offline planning over the state linear feedback policies. Our algorithm is based on the optimism in the face of uncertainty (OFU) principle in which we optimistically …

Mapping Narrations, Narrating Maps: Concepts Of The World In The Middle Ages And The Early Modern Period, Ingrid Baumgartner, Daniel Gneckow, Anna Hollenbach, Phillip Landgrebe

Research in Medieval and Early Modern Culture

This volume offers the author's central articles on the medieval and early modern history of cartography for the first time in English translation. A first group of essays gives an overview of medieval cartography and illustrates the methods of cartographers. Another analyzes world maps and travel accounts in relation to mapped spaces. A third examines land surveying, cartographical practices of exploration and the production of Portolan atlases.

Introduction To Classical Field Theory, Charles G. Torre

All Complete Monographs

This is an introduction to classical field theory. Topics treated include: Klein-Gordon field, electromagnetic field, scalar electrodynamics, Dirac field, Yang-Mills field, gravitational field, Noether theorems relating symmetries and conservation laws, spontaneous symmetry breaking, Lagrangian and Hamiltonian formalisms.

Tunable Physical Properties In Bi-Based Layered Supercell Multiferroics Embedded With Au Nanoparticles, Jianan Shen, Zihao He, Di Zhang, Ping Lu, Julia Deitz, Zhongxia Shang, Matias Kalaswad, Haohan Wang, Xiaoshan S. Xu, Haiyan Wang

Department of Physics and Astronomy: Faculty Publications

Multiferroic materials are an interesting functional material family combining two ferroic orderings, e.g., ferroelectric and ferromagnetic orderings, or ferroelectric and antiferromagnetic orderings, and find various device applications, such as spintronics, multiferroic tunnel junctions, etc. Coupling multiferroic materials with plasmonic nanostructures offers great potential for optical-based switching in these devices. Here, we report a novel nanocomposite system consisting of layered Bi_1.25AlMnO_3.25 (BAMO) as a multiferroic matrix and well dispersed plasmonic Au nanoparticles (NPs) and demonstrate that the Au nanoparticle morphology and the nanocomposite properties can be effectively tuned. Specifically, the Au particle size can be tuned from …