Physical Sciences and Mathematics Commons^™

Application Of Machine Learning Models With Numerical Simulations Of An Experimental Microwave Induced Plasma Gasification Reactor, Owen D. Sedej

Theses and Dissertations

This thesis aims to contribute to the future development of this technology by providing an in-depth literature review of how this technology physically operates and can be numerically modeled. Additionally, this thesis reviews literature of machine learning models that have been applied to gasification to make accurate predictions regarding the system. Finally, this thesis provides a framework of how to numerically model an experimental plasma gasification reactor in order to inform a variety of machine learning models.

Natural Infrastructure Alternatives Mitigate Hurricane-Driven Flood Vulnerability: Application To Tyndall Air Force Base, Kiara L. Vance

Theses and Dissertations

Hurricane frequency and magnitude intensification are expected over the remainder of the twenty-first century. Uncertainty in future projections requires that coastal communities approach adaptation decisions with caution. Traditional approaches are costly and inflexible. Soft policy adaptations are largely unenforceable. Hard, natural adaptations have emerged as an opportunity to partially mitigate the growing risk of extreme flooding, without the large investments required for traditional approaches, where natural infrastructure already exists. Existing literature for natural adaptations has not leveraged intensification expectations for hurricane events. This research uses multihazard damage evaluation software and spatial analysis to investigate placement of dredged sediment as a …

Telemetry Data Mining For Unmanned Aircraft Systems, Li Yu

Theses and Dissertations

With ever more data becoming available to the US Air Force, it is vital to develop effective methods to leverage this strategic asset. Machine learning (ML) techniques present a means of meeting this challenge, as these tools have demonstrated successful use in commercial applications. For this research, three ML methods were applied to a unmanned aircraft system (UAS) telemetry dataset with the aim of extracting useful insight related to phases of flight. It was shown that ML provides an advantage in exploratory data analysis and as well as classification of phases. Neural network models demonstrated the best performance with over …

Search For Intermediate-Mass Black Hole Binaries In The Third Observing Run Of Advanced Ligo And Advanced Virgo, R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Volker Quetschke, Wenhui Wang

Physics & Astronomy Faculty Publications

Intermediate-mass black holes (IMBHs) span the approximate mass range 100−10⁵ M_⊙, between black holes (BHs) that formed by stellar collapse and the supermassive BHs at the centers of galaxies. Mergers of IMBH binaries are the most energetic gravitational-wave sources accessible by the terrestrial detector network. Searches of the first two observing runs of Advanced LIGO and Advanced Virgo did not yield any significant IMBH binary signals. In the third observing run (O3), the increased network sensitivity enabled the detection of GW190521, a signal consistent with a binary merger of mass ∼150 M_⊙ providing direct evidence of …

The Close Agn Reference Survey (Cars): Ifu Survey Data And The Bh Mass Dependence Of Long-Term Agn Variability, B. Husemann, M. Singha, J. Scharwächter, R. Mcelroy, J. Neumann, I. Smirnova-Pinchukova, T. Urrutia, S. A. Baum, V. N. Bennert, F. Combes, S. M. Croom, T. A. Davis, Y. Fournier, A. Galkin, M. Gaspari, H. Enke, M. Krumpe, C. P. O'Dea, M. Pérez-Torres, T. Rose, G. R. Tremblay, C. J. Walcher

Physics

Context. Active galactic nuclei (AGN) are thought to be intimately connected with their host galaxies through feeding and feedback processes. A strong coupling is predicted and supported by cosmological simulations of galaxy formation, but the details of the physical mechanisms are still observationally unconstrained.

Aims. Galaxies are complex systems of stars and a multiphase interstellar medium (ISM). A spatially resolved multiwavelength survey is required to map the interaction of AGN with their host galaxies on different spatial scales and different phases of the ISM. The goal of the Close AGN Reference Survey (CARS) is to obtain the necessary spatially resolved …

Studying Acetylation Of Aconitase Isozymes By Genetic Code Expansion, Jessica Araujo, Sara Ottinger, Sumana Venkat, Qinglei Gan, Chenguang Fan

Chemistry & Biochemistry Faculty Publications and Presentations

Aconitase catalyzes the second reaction of the tricarboxylic acid cycle, the reversible conversion of citrate and isocitrate. Escherichia coli has two isoforms of aconitase, AcnA and AcnB. Acetylomic studies have identified acetylation at multiple lysine sites of both E. coli aconitase isozymes, but the impacts of acetylation on aconitases are unknown. In this study, we applied the genetic code expansion approach to produce 14 site-specifically acetylated aconitase variants. Enzyme assays and kinetic analyses showed that acetylation of AcnA K684 decreased the enzyme activity, while acetylation of AcnB K567 increased the enzyme activity. Further in vitro acetylation and deacetylation assays were …

The Clock Modulator Nobiletin Mitigates Astrogliosis-Associated Neuroinflammation And Disease Hallmarks In An Alzheimer’S Disease Model, Ruben Gomez-Gutierrez, Kazunari Nohara, Gabriel Escobedo, Jong Min Choi, Chorong Han, Kazuhiro Yagita, Sung Yun Jung, Claudio Soto, Hyun Kyoung Lee, Rodrigo Morales, Seung-Hee Yoo, Zheng Chen

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a devastating neurodegenerative disorder, and there is a pressing need to identify disease-modifying factors and devise interventional strategies. The circadian clock, our intrinsic biological timer, orchestrates various cellular and physiological processes including gene expression, sleep, and neuroinflammation; conversely, circadian dysfunctions are closely associated with and/or contribute to AD hallmarks. We previously reported that the natural compound Nobiletin (NOB) is a clock-enhancing modulator that promotes physiological health and healthy aging. In the current study, we treated the double transgenic AD model mice, APP/PS1, with NOB-containing diets. NOB significantly alleviated β-amyloid burden in both the hippocampus and the …

Use Of The Deep Learning Approach To Measure Alveolar Bone Level, Hsiu-Wan Meng, Thomas E Van Dyke, Muhammad F Walji, Xiaoqian Jiang, Shayan Shams

Faculty, Staff and Student Publications

AIM: The goal was to use a deep convolutional neural network to measure the radiographic alveolar bone level to aid periodontal diagnosis.

MATERIALS AND METHODS: A deep learning (DL) model was developed by integrating three segmentation networks (bone area, tooth, cemento-enamel junction) and image analysis to measure the radiographic bone level and assign radiographic bone loss (RBL) stages. The percentage of RBL was calculated to determine the stage of RBL for each tooth. A provisional periodontal diagnosis was assigned using the 2018 periodontitis classification. RBL percentage, staging, and presumptive diagnosis were compared with the measurements and diagnoses made by the …

Ispray: Reducing Urban Air Pollution With Intelligent Water Spraying, Yun Cheng, Zimu Zhou, Lothar Thiele

Research Collection School Of Computing and Information Systems

Despite regulations and policies to improve city-level air quality in the long run, there lack precise control measures to protect critical urban spots from heavy air pollution. In this work, we propose iSpray, the first-of-its-kind data analytics engine for fine-grained PM2.5 and PM10 control at key urban areas via cost-effective water spraying. iSpray combines domain knowledge with machine learning to profile and model how water spraying affects PM25 and PM10 concentrations in time and space. It also utilizes predictions of pollution propagation paths to schedule a minimal number of sprayers to keep the pollution concentrations at key spots under control. …

Now You See Me: “First” Records Of The Greater Amberjack Seriola Dumerili At Rapa Nui Range Extension Or Increased Scientific Effort?, Naiti Morales, Amy Rose Coghlan, Erin E. Easton, Alan M. Friedlander, James J. Herlan, Carlos F. Gaymer

School of Earth, Environmental, & Marine Sciences Faculty Publications

We report new records of the fisheries-harvested subtropical greater amberjack Seriola dumerili for the south-east Pacific Ocean. Previously, only one species of Seriola (the yellowtail amberjack Seriola lalandi) was scientifically recorded for Rapa Nui (also known as Easter Island) despite local fishers' asserting that three Seriola morphotypes are found in the region. Here we present the first 'scientific record' of what could be a pre-existing (albeit transient) species of the Rapa Nui ecoregion. Establishing the existing range limits of commercially and ecologically valuable species is key for observing climate-driven distribution shifts, and the inclusion of traditional ecological knowledge is likely …

2022 March - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

Long-Range Interactions For Hydrogen Atoms In Excited D States, Chandra M. Adhikari, Ulrich D. Jentschura

Physics Faculty Research & Creative Works

Pressure shifts inside an atomic beam are among the more theoretically challenging effects in high-precision measurements of atomic transitions. A crucial element in their theoretical analysis is the understanding of long-range interatomic interactions inside the beam. For excited reference states, the presence of quasi-degenerate states leads to additional challenges, due to the necessity to diagonalize large matrices in the quasi-degenerate hyperfine manifolds. Here, we focus on the interactions of hydrogen atoms in reference states composed of an excited nD state (atom A), and in the metastable 2S state (atom B). We devote special attention to the cases n = 3 …

Magic Wavelengths For 1s-Ns And 2s-Ns Transitions In Hydrogenlike Systems, Chandra M. Adhikari, Jonathan C. Canales, Thusitha P.W. Arthanayaka, Ulrich D. Jentschura

Physics Faculty Research & Creative Works

We study the magic wavelength for two-photon 1S-nS transitions in a hydrogen and deuterium atom, as well as 2S-nS transitions, where the lower level is the metastable 2S state. At the magic wavelength, the dynamic Stark shifts of the ground and the excited state of the transition coincide, so that the transition frequency is independent of the intensity of the trapping laser field. Experimentally feasible magic wavelengths of transitions with small slopes in the atomic polarizabilities are determined; these are the most stable magic wavelengths against variations of the laser frequency. We provide data for the magic wavelengths for the …

Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank

Psychological Science Faculty Research & Creative Works

Artificial agents such as robots, chatbots, and artificial intelligence systems can be the perpetrators of a range of moral violations traditionally limited to human actors. This paper explores how people perceive the same moral violations differently for artificial agent and human perpetrators by addressing three research questions: How wrong are moral foundation violations by artificial agents compared to human perpetrators? Which moral foundations do artificial agents violate compared to human perpetrators? What leads to increased blame for moral foundation violations by artificial agents compared to human perpetrators? We adapt 18 human-perpetrated moral violation scenarios that differ by the moral foundation …

Intra- And Interband Excitations Induced Residue Decay Of The Bose Polaron In A One-Dimensional Double-Well, Jie Chen, Simeon I. Mistakidis, Peter Schmelcher

Physics Faculty Research & Creative Works

We Investigate The Polaronic Properties Of A Single Impurity Immersed In A Weakly Interacting Bosonic Environment Confined Within A One-Dimensional Double-Well Potential Using An Exact Diagonalization Approach. We Find That An Increase Of The Impurity-Bath Coupling Results In A Vanishing Residue, Signifying The Occurrence Of The Polaron Orthogonality Catastrophe. Asymptotic Configurations Of The Systems' Ground State Wave Function In The Strongly Interacting Regime Are Obtained By Means Of A Schmidt Decomposition, Which In Turn Accounts For The Observed Orthogonality Catastrophe Of The Polaron. We Exemplify That Depending On The Repulsion Of The Bose Gas, Three Distinct Residue Behaviors Appear With …

Pattern Formation In One-Dimensional Polaron Systems And Temporal Orthogonality Catastrophe, Georgios M. Koutentakis, Simeon I. Mistakidis, Peter Schmelcher

Physics Faculty Research & Creative Works

Recent Studies Have Demonstrated That Higher Than Two-Body Bath-Impurity Correlations Are Not Important For Quantitatively Describing The Ground State Of The Bose Polaron. Motivated By The Above, We Employ The So-Called Gross Ansatz (GA) Approach To Unravel The Stationary And Dynamical Properties Of The Homogeneous One-Dimensional Bose-Polaron For Different Impurity Momenta And Bath-Impurity Couplings. We Explicate That The Character Of The Equilibrium State Crossovers From The Quasi-Particle Bose Polaron Regime To The Collective-Excitation Stationary Dark-Bright Soliton For Varying Impurity Momentum And Interactions. Following An Interspecies Interaction Quench The Temporal Orthogonality Catastrophe Is Identified, Provided That Bath-Impurity Interactions Are Sufficiently Stronger …

Depth-Targeted Energy Delivery Deep Inside Scattering Media, Nicholas Bender, Alexey Yamilov, Arthur Goetschy, Hasan Yılmaz, Chia Wei Hsu, Hui Cao

Physics Faculty Research & Creative Works

Diffusion makes it difficult to predict and control wave transport through a medium. Overcoming wave diffusion to deliver energy into a target region deep inside a diffusive system is an important challenge for applications, but also represents an interesting fundamental question. It is known that coherently controlling the incident wavefront allows diffraction-limited focusing inside a diffusive system, but in many applications, the targets are significantly larger than a focus and the maximum deliverable energy remains unknown. Here we introduce the 'deposition matrix', which maps an input wavefront to the internal field distribution, and we theoretically predict the ultimate limit on …

Magic Wavelengths For 1s–Ns And 2s–Ns Transitions In Hydrogenlike Systems, Chandra M. Adhikari, Jonathan C. Canales, Thusitha P.W. Arthanayaka, Ulrich D. Jentschura

Physics Faculty Research & Creative Works

We study the magic wavelength for two-photon 1S–nS transitions in a hydrogen and deuterium atom, as well as 2S–nS transitions, where the lower level is the metastable 2S state. At the magic wavelength, the dynamic Stark shifts of the ground and the excited state of the transition coincide, so that the transition frequency is independent of the intensity of the trapping laser field. Experimentally feasible magic wavelengths of transitions with small slopes in the atomic polarizabilities are determined; these are the most stable magic wavelengths against variations of the laser frequency. We provide data for the magic wavelengths for the …

Long-Range Interactions For Hydrogen Atoms In Excited D States, Chandra M. Adhikari, Ulrich D. Jentschura

Physics Faculty Research & Creative Works

Pressure shifts inside an atomic beam are among the more theoretically challenging effects in high-precision measurements of atomic transitions. A crucial element in their theoretical analysis is the understanding of long-range interatomic interactions inside the beam. For excited reference states, the presence of quasi-degenerate states leads to additional challenges, due to the necessity to diagonalize large matrices in the quasi-degenerate hyperfine manifolds. Here, we focus on the interactions of hydrogen atoms in reference states composed of an excited nD state (atom A), and in the metastable 2S state (atom B). We devote special attention to the cases n = 3 …

Zelda: Fitting Lyman Alpha Line Profiles Using Deep Learning, Siddhartha Gurung-López, Max Gronke, Shun Saito, Silvia Bonoli, Álvaro A. Orsi

Physics Faculty Research & Creative Works

We present zELDA (redshift Estimator for Line profiles of Distant Lyman Alpha emitters), an open-source code to fit Lyman α (Ly α) line profiles. The main motivation is to provide the community with an easy to use and fast tool to analyse Ly α line profiles uniformly to improve the understating of Ly α emitting galaxies. zELDA is based online profiles of the commonly used 'shell-model' pre-computed with the full Monte Carlo radiative transfer code LyaRT. Via interpolation between these spectra and the addition of noise, we assemble a suite of realistic Ly α spectra which we use to train …

Fully Differential Investigation Of Two-Center Interference In Dissociative Capture In P+ H2 Collisions, S. Bastola, M. Dhital, B. Lamichhane, A. Silvus, R. Lomsadze, J. Davis, A.(Ahmad) Hasan, A. Igarashi, Michael Schulz

Physics Faculty Research & Creative Works

We Have Measured and Calculated Fully Differential Cross Sections for Vibrational Dissociation Following Capture in 75-KeV P+H2 Collisions. for a Molecular Orientation Perpendicular to the Projectile Beam Axis and Parallel to the Transverse Momentum Transfer We Observe a Pronounced Interference Structure. the Positions of the Interference Extrema Suggest that the Interference Term is Afflicted with a Phase Shift Which Depends on the Projectile Scattering Angle. However, No Significant Dependence on the Kinetic-Energy Release Was Observed. Considerable Discrepancies between Our Calculations and Experimental Data Were Found.

Riding The Wave: Reactive Vector-Borne Disease Policy Renders The United States Vulnerable To Outbreaks And Insecticide Resistance, Kyndall C. Dye-Braumuller, Jennifer R. Gordon, Kaci Mccoy, Danielle Johnson, Rhoel Dinglasan, Melissa Nolan Ph.D., Mph

Faculty Publications

Funding for vector-borne disease surveillance, management, and research is cyclical and reactive in the United States. The subsequent effects have yielded gross inequities nationally that unintentionally support recurrent outbreaks. This policy forum is comprised of four primary subsections that collectively identify specific areas for improvement and offer innovative solutions to address national inadequacies in vector borne disease policy and infrastructure.

Prolonged Drying Trend Coincident With The Demise Of Norse Settlement In Southern Greenland, Boyang Zhao, Isla S. Castañeda, Jeffrey M. Salacup, Elizabeth K. Thomas, William C. Daniels, Tobias Schneider, Gregory A. De Wet, Raymond S. Bradley

Geosciences: Faculty Publications

Declining temperature has been thought to explain the abandonment of Norse settlements, southern Greenland, in the early 15th century, although limited paleoclimate evidence is available from the inner settlement region itself. Here, we reconstruct the temperature and hydroclimate history from lake sediments at a site adjacent to a former Norse farm. We find no substantial temperature changes during the settlement period but rather that the region experienced a persistent drying trend, which peaked in the 16th century. Drier climate would have notably reduced grass production, which was essential for livestock overwintering, and this drying trend is concurrent with a Norse …

Light Curve Test Of Grb 200716c As A Gravitationally Lensed Echo, Oindabi Mukherjee, Robert J. Nemiroff

Michigan Tech Publications, Part 1

A gravitational lens can imprint distinct features on the light curve of a gamma-ray burst (GRB). Most prominently, when creating multiple images, the light curves for all images should be identical, within a scale factor in amplitude. For GRB images that are bright enough to have significant counts in multiple time bins, the similarity of the light curves can be assessed with a straightforward χ2 test. In response to a recent claim that the two pulses in GRB 200716C are lensed images of the same pulse, such a χ2 test was computed. The test indicated that the likelihood …

Perceived Cultural Impacts Of Climate Change Motivate Climate Action And Support For Climate Policy, Kim-Pong Tam, Angela K. Y. Leung, Brandon Koh

Research Collection School of Social Sciences

The impacts of climate change on human cultures have received increasing attention in recent years. However, the extent to which people are aware of these impacts, whether such awareness motivates climate action, and what kinds of people show stronger awareness are rarely understood. The present investigation provides the very first set of answers to these questions. In two studies (with a student sample with N = 199 from Singapore and a demographically representative sample with N = 625 from the USA), we observed a generally high level of awareness among our participants. Most importantly, perceived cultural impacts of climate change …

Mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations Via Metagraph Embedding, Wentao Zhang, Yuan Fang, Zemin Liu, Min Wu, Xinming Zhang

Research Collection School Of Computing and Information Systems

Given that heterogeneous information networks (HIN) encompass nodes and edges belonging to different semantic types, they can model complex data in real-world scenarios. Thus, HIN embedding has received increasing attention, which aims to learn node representations in a low-dimensional space, in order to preserve the structural and semantic information on the HIN. In this regard, metagraphs, which model common and recurring patterns on HINs, emerge as a powerful tool to capture semantic-rich and often latent relationships on HINs. Although metagraphs have been employed to address several specific data mining tasks, they have not been thoroughly explored for the more general …

Match In My Way: Fine-Grained Bilateral Access Control For Secure Cloud-Fog Computing, Shengmin Xu, Jianting Ning, Yingjiu Li, Yinghui Zhang, Guowen Xu, Xinyi Huang, Robert H. Deng

Research Collection School Of Computing and Information Systems

Cloud-fog computing is a novel paradigm to extend the functionality of cloud computing to provide a variety of on demand data services via the edge network. Many cryptographic tools have been introduced to preserve data confidentiality against the untrustworthy network and cloud servers. However, how to efficiently identify and retrieve useful data from a large number of ciphertexts without a costly decryption mechanism remains a challenging problem. In this paper, we introduce a cloud fog-device data sharing system (CFDS) with data confidentiality and data source identification simultaneously based on a new cryptographic primitive named matchmaking attribute-based encryption (MABE) by extending …

Institute For Global Health And Development : Issue 2 - March 2022, Institute For Global Health And Development

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Human-Algorithm Collaboration Works Best If Humans Lead (Because It Is Fair!), David De Cremer, Jack Mcguire

Research Collection Lee Kong Chian School Of Business

Autonomous algorithms are increasingly being used by organizations to reach ever increasing heights of organizational efficiency. The emerging business model of today therefore appears to be one where autonomous algorithms are gradually expanding their occupation into becoming a leading decision-maker, and humans by default become increasingly more subordinate to such decisions. We address the question of whether this business perspective is consistent with the sort of collaboration employees want to have with algorithms at work. We explored this question by investigating in what way humans preferred to collaborate with algorithms when making decisions. Using two experimental studies (Study 1, n …

Multi-Dimensional Security Integrity Analysis Of Broad Market Internet-Connected Cameras, Mark A. Stanislav

Masters Theses & Doctoral Dissertations

This study used a quantitative approach with a cross-sectional, descriptive analysis survey design to examine the adherence of 40 internet-connected cameras against three IoT security frameworks to determine their overall security posture. Relevant literature was reviewed showing that prior studies in a similar regard had limitations, such as a small sample population, singular market segment focus, and/or a lack of validation against formalized frameworks. This study resulted in a uniform and multi-dimensional set of findings with supporting evidence, leading to a mapping against selected IoT security frameworks that was then quantitatively analyzed for their relative adherence as individual cameras, across …