Physical Sciences and Mathematics Commons^™

Repeated Low-Level Blast Exposure Alters Urinary And Serum Metabolites, Austin Sigler, Jiandong Wu, Annalise Pfaff, Olajide Adetunji, Paul Ki-Souk Nam, Donald James, Casey Burton, Honglan Shi

Chemistry Faculty Research & Creative Works

Repeated exposure to low-level blast overpressures can produce biological changes and clinical sequelae that resemble mild traumatic brain injury (TBI). While recent efforts have revealed several protein biomarkers for axonal injury during repetitive blast exposure, this study aims to explore potential small molecule biomarkers of brain injury during repeated blast exposure. This study evaluated a panel of ten small molecule metabolites involved in neurotransmission, oxidative stress, and energy metabolism in the urine and serum of military personnel (n = 27) conducting breacher training with repeated exposure to low-level blasts. The metabolites were analyzed using HPLC—tandem mass spectrometry, and the Wilcoxon …

Hawk Mountain Raptor Migration Phenology’S Relation To Weather, Eric Burgos

Computer Science and Information Technology Faculty

We have been studying year-round raptor migration phenology across the United States and North America for multiple decades now. Hawk Mountain Sanctuary’s Autumn migration hawk count began in 1934 and is the longest running raptor migration count in the world. A decline in total raptor counts passing through Hawk Mountain’s North Lookout is well documented and much research has already been done in what could be the main causes for this decrease in counts year-over-year. We know that cold front passages have long been associated with autumnal migration in northeastern North America. Using updated analysis techniques, we examined 60 years’ …

Design Of A Hyperstable Endocrine Acting Fibroblast Growth Factot, Sara Armstrong

Chemistry & Biochemistry Undergraduate Honors Theses

A novel chimera protein, consisting of the C-terminus of Fibroblast Growth Factor (FGF) 21 and super FGF1, a mutant of the wild-type FGF1, was studied. The protein retained the stability of sFGF1 and the endocrine acting behaviors and binding efficiency of FGF21, so that it could be more practical for therapeutic uses as a wound healing and angiogenic agent. sFGF1- FGF21 was expressed and purified before utilizing various biophysical techniques to measure its stability, secondary and tertiary characteristics, and metabolic activity.

Detection Of Nitrogen Dioxide Via Graphene-Enhanced Raman Scattering, Spencer Hazeslip

Chemistry & Biochemistry Undergraduate Honors Theses

This paper presents the development of a nitrogen dioxide (NO₂) sensor that utilizes the phenomenon of graphene-enhanced Raman scattering (GERS). The sensor consists of monolayer graphene on a silicon wafer, functionalized noncovalently with Copper(II) 2,9,16,23-tetra-tert-butyl-29H,31H-phthalocyanine (CuTTPc) via the solution soaking method. A custom sensing chamber was constructed to enable Raman spectra to be collected during NO₂ exposure. The response of the sensor was found to be linear between 10 and 100 ppm NO₂, indicating that it could be used for both detection and quantification. Furthermore, the sensor was shown to be reusable after …

Framing How We Think About Curves, Megan Sattler

Mathematical Sciences Undergraduate Honors Theses

A frame defines a basis at a point in R^n, and we can frame a curve by placing one at every point along it. This thesis investigates adapted framed curves in R^2 and R^3 in which they are used to provide information about how a curve twists and turns. We derive differential information from the frames that describe how they change and consequently how the curve changes. We also deduce special properties of each framing and discuss how the differential information suffices to describe the shape of curves.

Impact Of The Pre-A Motif On Truncated Hemoglobin N Activity, Alexander Shayne Drena

Theses and Dissertations

Tuberculosis (TB) remains the leading cause of death by an infectious agent and therefore a global health crisis, according to the most recent report by the World Health Organization. This is due, in part, to Mycobacterium tuberculosis’ impressive defensive mechanisms against immune response, as well as the rise of Multi-Drug Resistant strains that have recently developed. Towards the turn of the century, a small heme protein called truncated hemoglobin N (trHbN) was discovered to protect the bacteria against reactive nitrogen species by converting nitric oxide (NO) to nitrate at rates far exceeding those of myoglobin and closer to those of …

Emotion Classification And Intensity Prediction On Tweets, Sharath Chander Pugazhenthi

Theses and Dissertations

The task of finding an emotion associated with the text from individuals on a social media platform has become very crucial as it influences the current state of mind of a particular individual in real life. It also helps one to understand social behavior at a given point in time. Microblogging platforms like Twitter serves as a powerful tool for expressing one’s thoughts. Several work have been done in classifying the emotion associated with it. The thesis comprises of a system that first classifies the tweet into one of the four emotions - anger, joy, sadness, and fear with good …

Future Of Functional Reactive Programming In Real-Time Systems, Anisha Tasnim

Theses and Dissertations

The evolution of programming paradigms and the development of new programming languages are driven by the needs of problem domains. Functional reactive programming (FRP) combines functional programming (FP) and reactive programming (RP) concepts that leverage asynchronous dataflow from reactive programming and higher-level abstractions building blocks from functional programming to enable developers to define data flows and transformations declaratively. Declarative programming allows developers to concentrate more on the problem to be solved rather than the implementation details, resulting in efficient and concise code. Over the years, various FRP designs have been proposed in real-time application areas. Still, it remains unclear how …

Modeling Wlan Received Signal Strengths Using Gaussian Process Regression On The Sodindoorloc Dataset, Fabian Hermann Josef Fuchs

Theses and Dissertations

While any wireless technology can be used for indoor localization purposes, WLANhas the advantage of having a huge existing infrastructure. A radio map that matches specific locations to received signal strength is needed, to enable most of these indoor localization methods. To create these radio maps, with enough detail to achieve sufficient localization accuracy, is expensive and time consuming. Therefore, methods to interpolate and extrapolate more detailed maps from sparse radio maps are being developed. One recent approach is to use Gaussian process regression. Even though some papers already studied Gaussian process regression, most studied only the basic model with …

Modeling Brain Tumor Dynamics With The Help Of Cellular Automata, Paula Kathrin Viktoria Jaki

Theses and Dissertations

Primary brain tumors pose a serious threat to a person’s health. Gaining a deeper understanding of the dynamics of tumor growth is crucial for developing a proper treatment plan. Many computational models have been suggested to investigate the interaction between tumor cells and their surroundings. Using cellular automata is particularly promising since it integrates the features of self-organizing complex systems which allows them to properly depict local interactions between cells. The foundation of the thesis lies in the model proposed by Kansal et al. It uses four microscopic parameters, the maximum tumor extent, the base proliferative and necrotic thickness as …

Numerical Study Of A One-Dimensional Poisson-Nernst–Planck Ion Channel Model By Finite Element Backward And Forward Euler Methods, Michel Stanislas Korfhage

Theses and Dissertations

This thesis presents a numerical study of a one-dimensional Poisson-Nernst-Planck (PNP) ion channel model,which describes the transport of charged species in an electrolyte under the influence of an electric field. We develop a new numerical scheme for solving the PNP model by combining the method of lines with the finite element and Euler's forward and backward methods. We then implement the scheme based on the finite element library from the FEniCS project. To validate the accuracy of our numerical scheme, we construct an analytical solution of the PNP model with source terms. We find in numerical tests that the backward …

Entangled Conquest: A Study Of Cultural Hybridization And Change In Norman Ireland, Sean Mcconnel

Theses and Dissertations

This thesis employs entanglement theory and new geophysical macro-analytical methods to

examine the spread of Norman culture in late medieval Ireland. The traditional theories of

Anglo-Norman conquest by mass migration, by military conquest, and by political conquest are

reviewed and compared to a more nuanced theory of Normanization, which suggests that

genetically Irish people, who spoke Irish, practiced Irish law, and pursued Irish interests were

primarily responsible for what is considered "Norman" material culture on the Island. This

dissertation presents the idea that adherence to the English king was a necessary and expedient

action on the part of Irish lords …

Improper Ferroelectricity In Ultrathin Hexagonal Ferrites Films, Xin Li, Yu Yun, X. S. Xu

Department of Physics and Astronomy: Faculty Publications

Suppression of ferroelectricity in ultrathin films of improper ferroelectric hexagonal ferrites or manganites has been attributed to the effect of interfacial clamping; however, the quantitative understanding and related phenomenological model are still lacking. In this work, we report on the paraelectric-to-ferroelectric phase transition of epitaxial h-ScFeO₃ films with different thicknesses through in situ reflection highenergy electron diffraction. Based on the interfacial clamping model and the Landau theory, we show that the thickness-dependence of the ferroelectric Curie temperature can be understood in terms of the characteristic length of an interfacial clamping layer and the bulk Curie temperature. Furthermore, we found …

The Last Drought Frontier: Building A Drought Index For The State Of Alaska, Olivia Campbell

School of Natural Resources: Dissertations, Theses, and Student Research

Drought is characterized by periods of below average precipitation. There are five major types of drought recognized in the literature: meteorological, hydrological, agricultural, socioeconomic, and ecological. A relatively new concept in the drought literature is “snow drought.” A key part of the definition of drought is that it is not always accompanied by extreme heat. This means drought can occur even in cold climates, cold seasons, and higher latitudes and altitudes, like Alaska. Drought is a natural part of climate variability, but Alaska’s climate is changing faster than any other state in the United States. Alaska is no stranger to …

Quantum Phases Of Lattice Dipolar Bosons Coupled To A High-Finesse Cavity, Yaghmorassene Hebib, Chao Zhang, Jin Yang, Barbara Capogrosso-Sansone

Physics

Two types of long-range interactions, dipolar interaction and cavity-mediated interaction, lead to exotic quantum phases. Both interactions were realized and observed in optical lattice setups. Here, we study quantum phases of dipolar bosons trapped in optical lattices and coupled to a high-finesse cavity where both dipolar interaction and cavity-mediated interaction coexist. We perform quantum Monte Carlo simulations and find that the checkerboard solid is enhanced and the checkerboard supersolid phase can exist in a wide range of densities (e.g., 0.27≲n≲0.73). Our unbiased numerical results suggest that both solid and supersolid phases can be achieved experimentally with magnetic atoms coupled to …

An Intercomparison Of Large-Eddy Simulations Of A Convection Cloud Chamber Using Haze-Capable Bin And Lagrangian Cloud Microphysics Schemes, Fan Yang, Fabian Hoffmann, Raymond Shaw, Mikhail Ovchinnikov, Andrew M. Vogelmann

Michigan Tech Publications

Recent in situ observations show that haze particles exist in a convection cloud chamber. The microphysics schemes previously used for large-eddy simulations of the cloud chamber could not fully resolve haze particles and the associated processes, including their activation and deactivation. Specifically, cloud droplet activation was modeled based on Twomey-type parameterizations, wherein cloud droplets were formed when a critical supersaturation for the available cloud condensation nuclei (CCN) was exceeded and haze particles were not explicitly resolved. Here, we develop and adapt haze-capable bin and Lagrangian microphysics schemes to properly resolve the activation and deactivation processes. Results are compared with the …

Quantitative Analysis Of The Proteomic Selectivity Of Acidic Reductive Alkylation Of Peptides, Connor Jewell

Honors Scholar Theses

Proteome quantification is a complicated process which takes on many methods, usually involving peptide derivatization and complex mass spectral analysis. Scores of techniques have been utilized to address issues of incomplete quantification. The implementation of IPTL labeling, or isobaric peptide terminal labeling, is a recent addition to the literature, which exploits the supposedly selective labeling of N-termini of tryptic peptides from the C-termini of lysine residues due to differences in basicity. This method has been shown to improve quantitation by reducing spectral complexity and provide more accurate and reproducible results on peptide abundance. Investigations into the selectivity of terminal derivatization …

Search For Photons Above 1019ev With The Surface Detector Of The Pierre Auger Observatory, P. Abreu, M. Aglietta, I. Allekotte, K. Almeida Cheminant, A. Almela, J. Alvarez-Muñiz, B. Fick, D. Nitz, I. Norwood, A. Puyleart, Et Al.

Michigan Tech Publications

We use the surface detector of the Pierre Auger Observatory to search for air showers initiated by photons with an energy above 1019 eV. Photons in the zenith angle range from 30° to 60° can be identified in the overwhelming background of showers initiated by charged cosmic rays through the broader time structure of the signals induced in the water-Cherenkov detectors of the array and the steeper lateral distribution of shower particles reaching ground. Applying the search method to data collected between January 2004 and June 2020, upper limits at 95% CL are set to an E-2 diffuse flux of …

Deformation At Uturuncu Volcano, Bolivia: Modeling The Effect Of Volatile Movement In The Hydrothermal System, Karissa Rosenberger

Earth and Planetary Sciences ETDs

Deformation at volcanos is often a precursor to an eruption, but sometimes volcanos experience uplift without actually erupting. Determining the mechanisms behind this deformation and whether it will lead to an eruption is an important part of understanding volcanic systems. Uturuncu volcano in Bolivia has been experiencing deformation for decades, but the last time it erupted was 250,000 years ago. The reason behind this deformation is unknown, but one possible cause is volatiles moving into the hydrothermal system and getting trapped, causing the volume to increase and the surface to uplift. To test this hypothesis, the current volume change of …

Effects Of Nonnative Plants On Space-Use In Eastern Box Turtles, Emily Ilene Crago

Graduate Theses

Introduction of nonnative plants outside their natural range has caused widespread reduction in the abundance and diversity of native plant species. Nonnative plants typically form dense, often monotypic, thickets that affect the ability of animals to find food, reproduce, avoid predation risk, and thermoregulate. By doing so, nonnative plants have the potential to displace resident animals from areas otherwise suitable as animal habitat. However, limited studies have investigated whether resident animals avoid areas dominated by nonnative plants. This study investigated impacts of nonnative plants on eastern box turtles (Terrapene carolina carolina), a species that has been declining throughout their range. …

Investigation Of Microplastics In River Bottom Sediment Along The Musconetcong River, Nicole Perkins

Theses, Dissertations and Culminating Projects

The knowledge of microplastics remains limited since there are scientific challenges in understanding long-term effects and health risks associated with microplastics in all environments. Challenges associated with microplastics investigations include limited approaches to microplastics sampling and analyses, understanding long‐term behavior of microplastics, the organismal and ecosystem health risks, and finding alternatives to using plastic. The research on microplastics has focused mainly on microplastics abundance and distribution in the environment, while their transport and pathways have remained rather understudied. The goal of this study was to expand our knowledge of microplastics in river sediment.

This microplastics investigation consisted of sampling the …

Parameter Optimization For Excitable Cell Models, Amrit Parmar

Theses, Dissertations and Culminating Projects

The electrophysiology of nodose ganglia neurons is of great interest in the analysis of cell membrane currents and action potential behavior. This behavior was initially outlined in the Hodgkin-Huxley conductance model [1] using a system of nonlinear differential equations. Later, Schild et al. [2] developed an extension of the Hodgkin-Huxley model to provide a more exhaustive description of ion channels involved in nodose neuronal action potential activity. We consider a variety of methods to fit the parameters of both the Hodgkin-Huxley and Schild et al. models to an empirical stimulus response dataset. Our methods were validated using synthetic datasets, as …

Climate Change And Labor Reallocation: Evidence From Six Decades Of The Indian Census, Maggie Liu, Yogita Shamdasani, Vis Taraz

Environmental Science and Policy: Faculty Publications

No abstract provided.

Neural Network Architecture Optimization Using Reinforcement Learning, Raghav Vadhera

Computer Science and Engineering Dissertations

Deep learning has emerged as an increasingly valuable tool, employed across a myriad of applications. However, the intricacies of deep learning systems, stemming from their sensitivity to specific network architectures, have rendered them challenging for non-experts to harness, thus highlighting the need for automatic network architecture optimization. Prior research predominantly optimizes a network for a single problem through architecture search, necessitating extensive training of various architectures during optimization.\\ To tackle this issue and unlock the potential for transferability across tasks, this dissertation presents a groundbreaking approach that employs Reinforcement Learning to develop a network optimization policy based on an abstract …

Practical Indirect Control Flow Analysis For Binary Executables, Haotian Zhang

Computer Science and Engineering Dissertations

Resolving indirect control flow is one of the fundamental challenges in binary analysis. Improving the accuracy of the indirect control flow analysis is vital to the binary analysis domain. Many analysis algorithms and security techniques rely on a precise indirect control flow result, such as recursive disassembling, control flow integrity, data-flow analysis, etc. Incorrect or even inaccuracy indirect control flow analysis results can compromise or even break the assumptions of these analyses. This thesis explores this topic from two directions, altering the indirect control flow analysis to make it more suitable for different scenarios and improving the accuracy of indirect …

The Fierce Urgency Of Now: Integrating The Youth Voice At Cop, Gillian Bowser, Pamela H. Templer, Susie S. Ho, Sarah A. Green, Sarah Hautzinger, Isabelle Zhu-Maguire, Alyssa Connaughton, Leah Dundon, Diane Husic, Mark Urban

Michigan Tech Publications

No abstract provided.

Closing The Loop Of Food Systems: Analyzing Compost Within Community Bounds, Ellen A. Getter

Honors Theses

The aim of this thesis is to construct a philosophical and ecological argument that places great value on localized food systems in terms of waste. This composition develops the claim that building composting infrastructure on a community scale will curb the global climate crisis and enhance the interconnectedness humans have within themselves, each other, and the natural world. The first prong of this thesis entails a theoretical framework we must function under in order to implement such radical food revolutions in our communities informed by Buddhist principles. This proceeds an international case study of the composting infrastructure of Fort Albany …

The Hilbert Sequence And Its Associated Jacobi Matrix, Caleb Beckler

Honors Theses

In this project, we investigate positive definite sequences and their associated Jacobi matrices in Hilbert space. We set out to determine the Jacobi matrix associated to the Hilbert sequence by methods described in Akhiezer’s book The Classical Moment Problem. Using methods in Teschl’s book Jacobi Operators and Completely Integrable Nonlinear Lattice, we determine the essential spectrum of the corresponding Jacobi matrix.

Petrographic Observations Of Stromatolites In The Late Cambrian To Early Ordovician Knox Group, Northwest Georgia And Their Relationship To Stromatolitic Fabrics Over Geologic Time, Evan Ritchey

Honors Theses

Silica deposits are common in Proterozoic carbonate platforms and are interpreted to form early in the diagenetic history of the carbonate strata. Black early diagenetic chert deposits are often associated with evidence of ancient microbial mats, or stromatolites. Proterozoic chert nodules can contain well-preserved microfossils, because silicification occurs rapidly; however, silica deposition has changed over time and it is unclear if similar deposits exist in the Cambrian period after silica-utilizing organisms evolved. The Copper Ridge Dolomite in the Knox Group, northwest Georgia, which was deposited in the late Cambrian to early Ordovician, contains black chert nodules that follow the structure …

Modeling Surface Structures For The Capture Of Carbon Dioxide, Paige Freyre

Honors Theses

Our research utilized a modified graphene surface model to simulate capture of carbon dioxide and nitrogen gas based on van der Waals forces and hydrogen bonding. We completed an extensive review of the literature for model and experimental surfaces used to trap carbon dioxide and nitrogen gas into structures and pores with varying functional groups, pore sizes, and pore structures. We replicated the design of selected published models and compared their and our calculated binding energies. We used Scigress (Fujitsu) software with the Molecular Mechanics MM3 parameter set to perform calculations to analyze a proposed graphene surface pore lined with …