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Articles 10501 - 10530 of 291657

Full-Text Articles in Physical Sciences and Mathematics

Wavelet Representation Of Singular Integral Operators, Jeremy Cummings Aug 2025

Wavelet Representation Of Singular Integral Operators, Jeremy Cummings

Arts & Sciences Graduate Student Theses and Dissertations

The idea of representing singular integral operators as averages dyadic shifts has proven fruitful since Petermichl's representation of the Hilbert transform, and its generalization by Hyt\"onen to prove the $A_2$ conjecture. These results employ a random dyadic decomposition of the operator in terms of Haar shifts of all complexities. An alternate approach to wavelet representation was provided by Di Plinio, Wick, and Williams (2022) in which the random dyadic grids are replaced by zero-complexity wavelet projections, providing finer control of smooth operators and a more efficiently computable representation. The goal of this thesis is to provide two main generalizations of …

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Topological Homotopy Groups, Tyler Evans Aug 2025

Topological Homotopy Groups, Tyler Evans

Theses and Dissertations

In general, the homotopy groups of topological spaces fail to be topological groups when endowed with the quotient topology. In this thesis, we show that for Peano continua with Abelian fundamental group, the fundamental group endowed with the quotient topology is indeed a topological group. However, this result does not extend to higher homotopy groups; that is, there exists a Peano continuum whose nth homotopy group, endowed with the quotient topology, is not a topological group. Additionally, a new characterization of the quotient topology in terms of a limit operator is introduced.

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South Atlantic Bank Internship Report, Trevor J. Naun Aug 2025

South Atlantic Bank Internship Report, Trevor J. Naun

Goal 8: Decent Work and Economic Growth

No abstract provided.

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Efficacy Of Lactobacillus Rhamnosus And Its Metabolites To Mitigate The Risk Of Foodborne Pathogens In Hydroponic Nutrient Solution, Esther Oginni, Robin A. Choudhury, Veerachandra Yemmireddy Aug 2025

Efficacy Of Lactobacillus Rhamnosus And Its Metabolites To Mitigate The Risk Of Foodborne Pathogens In Hydroponic Nutrient Solution, Esther Oginni, Robin A. Choudhury, Veerachandra Yemmireddy

School of Earth, Environmental, & Marine Sciences Faculty Publications

Hydroponic nutrient solution (HNS) has been established as an ideal conduit for pathogen contamination and proliferation. This study evaluated the efficacy of lactic acid bacteria and their metabolites in mitigating the risk of foodborne pathogens in HNS when compared to conventional chemical treatments. Hoagland’s HNS were prepared according to the manufacturer’s instructions and inoculated with Salmonella Typhimurium, Escherichia coli 0157:H7, and Listeria innocua at 105 CFU/mL cell concentration. These nutrient solutions were subjected to treatment with various concentrations of Lactobacillus rhamnosus live cells, a cell-free extract (CFE) of L. rhamnosus metabolites, sodium hypochlorite and peroxyacetic acid at 22 ± 1 …

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Assessing Greenhouse Gas Emissions From Michigan’S Drowned River Mouths Using In Situ And Remote Sensing Methods, Jillian A. Greene Aug 2025

Assessing Greenhouse Gas Emissions From Michigan’S Drowned River Mouths Using In Situ And Remote Sensing Methods, Jillian A. Greene

Masters Theses

Freshwater estuaries are natural contributors to the carbon cycle including production and emission of methane (CH4) and carbon dioxide (CO2), potent greenhouse gases (GHGs); however, estimates of their contribution to regional and global GHG emissions is largely unconstrained. Few studies have examined the quantification and drivers of lake CH4 and CO2 production in the Great Lakes region and how it may differ in response to anthropogenic development. In this study, CH4 and CO2 emissions were measured from three drowned river mouth estuaries (DRMs) along the eastern shore of Lake Michigan in 2024. The DRMs exist along a latitudinal gradient ranging …

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Orbital Evolution Of The Datura Asteroid Family, Skylar G. Butler Aug 2025

Orbital Evolution Of The Datura Asteroid Family, Skylar G. Butler

Beyond: Undergraduate Research Journal

To research the Datura Family of asteroids, we used an orbital evolution code to track the orbital decay of asteroid fragments released in an asteroid disruption. Different particle sizes of 10, 100, 500, 750, and 100 micrometers were tracked including the semi-major axis, eccentricity, and inclination in order to observe how certain particle sizes’ orbital elements evolve. Using a young asteroid family like the Datura family gives more insight into the parent asteroid structure and formation because the time is closer to before the asteroid’s breakup. We use these models to constrain the parameters of the dust by comparing the …

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Non-Linear Atom-Laser Interactions Using Rubidium Pump-Probe Spectroscopy, Grace Neil Aug 2025

Non-Linear Atom-Laser Interactions Using Rubidium Pump-Probe Spectroscopy, Grace Neil

Beyond: Undergraduate Research Journal

An experiment was performed to demonstrate the pump-probe spectroscopy of Rubidium (Rb) vapor, revealing the nonlinear atom-laser interactions in the 5S1/2 ↔ 5D5/2 transition in Rb that can be used to generate quantum entanglement between two laser beams. The setup included a tunable infrared diode laser, optical mirrors, photodiode-detectors, a beam-splitter, and a temperature- regulated rubidium gas chamber, all of which are controlled by the TeachSpin laser controller and monitor. The output from the laser-diode was split into a pump (90%) and a signal probe (10%), which intersected in counter-propagating directions inside the Rubidium chamber. The analysis shows that in …

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The Legal System For Influencers On Social Media Platforms: A Comparative Study, Ahmad Ibrahim Ballal Dr, Najem Riyad Al-Rabadi Dr, Ma’Moun Rashed Al-Huneiti Dr Aug 2025

The Legal System For Influencers On Social Media Platforms: A Comparative Study, Ahmad Ibrahim Ballal Dr, Najem Riyad Al-Rabadi Dr, Ma’Moun Rashed Al-Huneiti Dr

Middle East Journal of Communication Studies

This study explores the legal regulation of social media influencers through a comparative analysis between French and Jordanian legislation. The research problem lies in the absence of a clear and comprehensive legal framework regulating influencers' growing role in shaping public opinion. Using the comparative analytical method, the study examines relevant legal texts and regulatory approaches in both jurisdictions. The findings highlight significant differences, with France enacting a specific law to govern influencer activities, while Jordan still relies on general legal provisions. The study recommends drafting a dedicated Jordanian law that outlines influencers' legal responsibilities and balances freedom of expression with …

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Representations Of The Other In Hamas's Media Discourse During The "Al-Aqsa Flood" Operation: A Rhetorical Analytical Study, Enad Mamdouh Al-Zaben, Sabah Al Harahsheh Dr Aug 2025

Representations Of The Other In Hamas's Media Discourse During The "Al-Aqsa Flood" Operation: A Rhetorical Analytical Study, Enad Mamdouh Al-Zaben, Sabah Al Harahsheh Dr

Middle East Journal of Communication Studies

This study aimed to determine how the Hamas movement represented the "other" in its media discourse during the "Al-Aqsa Flood" operation. To achieve this goal, the study relied on the qualitative analytical approach, specifically rhetorical discourse analysis. The study sample included all Hamas's media spokesman speeches, between October 7, 2023, and January 1, 2024, numbering 11 speeches. The study results showed that Hamas's media discourse focused on portraying two main groups: "us" and "them." The "us" group included the Palestinian people in all their spectra. They were referred to using terms with positive connotations such as: "the steadfast," "the one …

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64th Annual Rocky Mountain Conference On Magnetic Resonance Aug 2025

64th Annual Rocky Mountain Conference On Magnetic Resonance

Rocky Mountain Conference on Magnetic Resonance

Final program, abstracts, and information about the 64th annual meeting of the Rocky Mountain Conference on Magnetic Resonance. Held in the Snowbird Resort and Conference Center, Snowbird, Utah, August 3-7, 2025.

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Estimating Reliability Of Electric Vehicle Charging Ecosystem Using Principle Of Maximum Entropy, Himanshu Tripathi Aug 2025

Estimating Reliability Of Electric Vehicle Charging Ecosystem Using Principle Of Maximum Entropy, Himanshu Tripathi

Theses and Dissertations

This thesis addresses the challenge of estimating electric vehicle (EV) charging system reliability against unpredictable threats like cyberattacks and extreme weather, where traditional methods fail. We utilize the Principle of Maximum Entropy (PME), a statistical tool that provides unbiased risk estimates using limited information. Applied to the EV charging ecosystem, our case study shows how PME models stress factors to predict failures and optimize maintenance. This approach extends beyond EVs to other complex systems with scarce data, such as smart grids or healthcare devices. By linking uncertainty directly to reliability, PME offers a universal method to improve decision-making under unpredictable …

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Unboxing The Black Box: Graph-Based Interpretability In Transformer Models, Ramak Nassiri Aug 2025

Unboxing The Black Box: Graph-Based Interpretability In Transformer Models, Ramak Nassiri

Theses and Dissertations

This thesis introduces a novel interpretability framework for transformer encoder models by hypothesizing that their internal embedding updates define a state transition system. We propose that transformers implicitly learn token-to-token influence dynamics, which can be analyzed using graph-theoretic methods. To validate this, we construct transition graphs from embedding changes and rank token importance using the PageRank algorithm. We develop two transformer models from scratch: a self-supervised model that incorporates serotype tokens to learn contextualized embeddings, and a supervised model initialized with these embeddings. Cosine similarity analysis of their token influence patterns reveals strong structural alignment, with values exceeding 93%. This …

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Development Of A Health Knowledge And Skill-Based Framework For The Digital Age, Evelyn Hovenga, Osama El-Hassan, Manal Almalki, Jawad Ahmed, Paul Barach, Mowafa Househ, Amr Jamal Aug 2025

Development Of A Health Knowledge And Skill-Based Framework For The Digital Age, Evelyn Hovenga, Osama El-Hassan, Manal Almalki, Jawad Ahmed, Paul Barach, Mowafa Househ, Amr Jamal

College of Population Health Faculty Papers

The Gulf Cooperation Council (GCC) region is tackling a significant digital healthcare workforce skills gap by creating a computable unified digital health competency framework and repository. Digital technologies and global competency standards are leveraged to professionalize the digital health knowledge domain and facilitate the development of clear career pathways in digital health. A mixed-methods approach was employed to develop the framework. A standardized categorial structure and information model has been developed to support the creation of this computable framework for workforce evaluation and competency-based career development.

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Spatio-Temporal Variability Of San Francisco Bay Plume From Space, Piero L. F. Mazzini, Cassia Pianca, L. Fernando Pareja-Roman, Kelly L. Cole, Ryan K. Walter, Renato M. Castelao, Elias J. Hunter, Robert J. Chant Aug 2025

Spatio-Temporal Variability Of San Francisco Bay Plume From Space, Piero L. F. Mazzini, Cassia Pianca, L. Fernando Pareja-Roman, Kelly L. Cole, Ryan K. Walter, Renato M. Castelao, Elias J. Hunter, Robert J. Chant

Physics

As brackish turbid waters exit San Francisco Bay, one of the largest estuaries in the U.S. West Coast, they form the San Francisco Bay Plume (SFBP), which spreads offshore and influences the Gulf of the Farallones (GoF), an ecologically significant region in the California Current System that is also home to three National Marine Sanctuaries. This paper provides the first observationally based investigation of the spatio-temporal variability of the SFBP, using a plume tracking algorithm applied to more than two decades (2002-2023) of ocean color data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard satellites Aqua and Terra. The …

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Determining The Toxic Threshold And Other Use Characteristics For Industrial Hemp Seed Oil Used For Wood Product Protection, Daylan M. Barnes Aug 2025

Determining The Toxic Threshold And Other Use Characteristics For Industrial Hemp Seed Oil Used For Wood Product Protection, Daylan M. Barnes

Theses and Dissertations

Plant-based wood treatments have been utilized for many years, with varying success. Oils such as those extracted from linseed (flax), tung, and hemp plants have been used for thousands of years as finishes on wood. These are all drying oils, which dry to a film when exposed to air. Hemp seed oil has a high fatty acid content and can take a long time to dry on wood products but is valued in woodworking for being easy to use, food-safe, and having little to no odor. In this study, cold-pressed hemp seed oil, blended with a soybean carrier oil, is …

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Extreme Artifacts Removal With Curriculum Learning, Sushant Gautam Aug 2025

Extreme Artifacts Removal With Curriculum Learning, Sushant Gautam

Theses and Dissertations

Restoring severely blurred images remains a significant challenge in computer vision, impacting applications in autonomous driving, medical imaging, and photography. This thesis introduces a novel training strategy based on curriculum learning to improve the robustness of deep learning models for extreme image deblurring. Unlike conventional approaches that train on only low to moderate blur levels, this method progressively increases the difficulty by introducing images with higher blur severity over time, allowing the model to adapt incrementally. Additionally, perceptual loss and hinge loss were integrated during training to enhance fine detail restoration and improve training stability. Various curriculum learning strategies were …

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Exploring The Use Of A Random Forest In Correcting Gfs Tropical Cyclone Landfall Errors, Victoria Grace Maxwell Aug 2025

Exploring The Use Of A Random Forest In Correcting Gfs Tropical Cyclone Landfall Errors, Victoria Grace Maxwell

Theses and Dissertations

While Tropical Cyclone (TC) track forecasting has improved over the years it has been slow. These improvements can be attributed to increased computer capability and better model inputs. Machine learning has been used for forecasting different TC track and intensity. The study here looks to use a Random Forest to predict the TC latitude/longitude “landfall” at 72-hr and quantify improvements to the GFS forecast. Principal Component Analysis was used to reduce the dimensionality of the meteorological variables. Stepwise regression was used to determine the principal components that were important for forecasting landfall. These variables were then tested with a multivariate …

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Augmenting Healthcare Communication: Context-Aware Ai Frameworks For Clinical Decision Support And Automated Summarization, Subash Neupane Aug 2025

Augmenting Healthcare Communication: Context-Aware Ai Frameworks For Clinical Decision Support And Automated Summarization, Subash Neupane

Theses and Dissertations

Healthcare communication is plagued by fragmented medical knowledge, patient misunderstanding of care plans, and clinician burnout from documentation burdens. These inefficiencies cost the U.S. healthcare system over $300 billion annually due to preventable nonadherence and administrative waste [47, 19]. While Artificial Intelligence (AI) technology like Large Language Models (LLMs) offer potential solutions, existing systems fail to deliver personalized, context-aware guidance or automate documentation without sacrificing accuracy. This dissertation addresses these gaps through three novel context-aware AI frameworks such as MedInsight, ClinicSum, and ClinicDuo. MedInsight leverages a multi-source context augmentation approach to synthesize patient centric medical responses by integrating Electronic Health …

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A Mathematical Theory Of Epitaxial Growth, Brock C. Price Aug 2025

A Mathematical Theory Of Epitaxial Growth, Brock C. Price

Theses and Dissertations

In this dissertation we investigate several PDE models of Epitaxial growth. These models are fourth-order PDE’s featuring exponential nonlinearities as well the p-Laplacian and 1-Laplacian. The presence of the exponential nonlinearity is what provides the main mathematical difficulty. Theexponent in particular does not have enough estimates to guarantee any compactness. Because of this, one has to allow the inclusion of a singular portion to the exponent in the sense of the Lebesgue decomposition theorem. In thefirst chapter weinvestigate a related epitaxial growth, with transition rates of the Metropo lis variety and a linear exponent. The metropolis rates induce an extra …

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Unraveling Quantum Properties Of Novel Two-Dimensional Systems Using A First-Principles Approach, Binod Regmi Aug 2025

Unraveling Quantum Properties Of Novel Two-Dimensional Systems Using A First-Principles Approach, Binod Regmi

Theses and Dissertations

We used first-principles density functional theory (DFT) to investigate the structural, electronic, and magnetic properties of an oxygen crystal in a copper slab, a ferrimagnetic electride with highly tunable magnetic anisotropy energy (MAE), and the Fermi surface analysis of different kagome metal phases. The Perdew-Burke-Ernzerhof (PBE) exchange-correlation functional was used in the Vienna ab initio simulation package (VASP) for all these calculations. Because of dimensionality reduction, the electronic properties of copper change significantly at the two-dimensional (2D) scale due to whichwe observe more reconstruction in the geometry of the Fermi surface. Dimensionality reduction also influences charge transport. Moreover, we present …

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2025 August 7 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Aug 2025

2025 August 7 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

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Activation Or Deactivation? Rethinking Ferrate(Vi) Reactivity Within A Broader Modulation Framework, Zepei Tang, Yang Deng Aug 2025

Activation Or Deactivation? Rethinking Ferrate(Vi) Reactivity Within A Broader Modulation Framework, Zepei Tang, Yang Deng

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

No abstract provided.

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A 12,800-Year-Old Layer With Cometary Dust, Microspherules, And Platinum Anomaly Recorded In Multiple Cores From Baffin Bay, Christopher R. Moore, Vladimir A. Tselmovich, Malcolm A. Lecompte, Allen West, Stephen J. Culver, David J. Mallinson, Mohammed Baalousha M.Sc, Ph.D., James P. Kennett, William M. Napier, Michael Bizimis, Victor Adedeji, Seth R. Sutton, Gunther Kleteschka, Kurt A. Langworthy, Jesus P. Perez, Timothy Witwer, Marc D. Young, Jordan Jeffreys, Richard C. Greenwood, James A. Malley Aug 2025

A 12,800-Year-Old Layer With Cometary Dust, Microspherules, And Platinum Anomaly Recorded In Multiple Cores From Baffin Bay, Christopher R. Moore, Vladimir A. Tselmovich, Malcolm A. Lecompte, Allen West, Stephen J. Culver, David J. Mallinson, Mohammed Baalousha M.Sc, Ph.D., James P. Kennett, William M. Napier, Michael Bizimis, Victor Adedeji, Seth R. Sutton, Gunther Kleteschka, Kurt A. Langworthy, Jesus P. Perez, Timothy Witwer, Marc D. Young, Jordan Jeffreys, Richard C. Greenwood, James A. Malley

Faculty Publications

The Younger Dryas Impact Hypothesis (YDIH) posits that ~12,800 years ago Earth encountered the debris stream of a disintegrating comet, triggering hemisphere-wide airbursts, atmospheric dust loading, and the deposition of a distinctive suite of extraterrestrial (ET) impact proxies at the Younger Dryas Boundary (YDB). Until now, evidence supporting this hypothesis has come only from terrestrial sediment and ice-core records. Here we report the first discovery of similar impact-related proxies in ocean sediments from four marine cores in Baffin Bay that span the YDB layer at water depths of 0.5–2.4 km, minimizing the potential for modern contamination. Using scanning electron microscopy …

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Dynamic Mutational Profiling Of Binding Interactions And Allosteric Networks In Conformational Ensembles Of The Sars-Cov-2 Spike Protein Complexes With Classes Of Antibodies Targeting Cryptic Binding Sites: Confluence Of Binding And Allostery Determines Molecular Mechanisms And Hotspots Of Immune Escape, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker Aug 2025

Dynamic Mutational Profiling Of Binding Interactions And Allosteric Networks In Conformational Ensembles Of The Sars-Cov-2 Spike Protein Complexes With Classes Of Antibodies Targeting Cryptic Binding Sites: Confluence Of Binding And Allostery Determines Molecular Mechanisms And Hotspots Of Immune Escape, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The ongoing evolution of SARS-CoV-2 variants has underscored the need to understand not only the structural basis of antibody recognition but also the dynamic and allosteric mechanisms that could underlie complexity of broad and escape-resistant neutralization. In this study, we employed a multi-scale approach integrating structural analysis, hierarchical molecular simulations, mutational scanning and network-based allosteric modeling to dissect how Class 4 antibodies (represented by S2X35, 25F9, and SA55) and Class 5 antibodies (represented by S2H97, WRAIR-2063 and WRAIR-2134) can modulate conformational behavior, binding energetics, allosteric interactions and immune escape patterns of the SARS-CoV-2 spike protein. Using hierarchical simulations of the …

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Monte Carlo Stellar Evolution Models And Their Application On Globular Clusters, Jiaqi Ying Aug 2025

Monte Carlo Stellar Evolution Models And Their Application On Globular Clusters, Jiaqi Ying

Dartmouth College Ph.D Dissertations

Stellar evolution models serve as fundamental tools in astronomy, essential for interpreting the interiors and evolutionary stages of stars, and have wide applications in astronomy, from searching for exoplanets to estimating the age of the universe. This thesis explores the inherent uncertainties arising from the complex physics used in stellar evolution models. By adopting a Monte Carlo approach to vary over 20 key stellar evolution parameters, we quantify their impact on model predictions, highlighting substantial influences on age, luminosity, and temperature. Through a detailed analysis of Milky Way globular clusters (GCs), this work rigorously investigates the uncertainties inherent in stellar …

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Extracting Magnetic Exchange Interactions From Magnetic Pair Distribution Function Data Via Monte Carlo Simulations, Emma Zappala Aug 2025

Extracting Magnetic Exchange Interactions From Magnetic Pair Distribution Function Data Via Monte Carlo Simulations, Emma Zappala

Theses and Dissertations

The magnetic pair distribution function (mPDF) is a powerful tool used to analyze diffuse magnetic scattering data in real-space. Presently, mPDF is usually used to model real-space spin configurations of materials, offering important insights into the local magnetic structure, but not to directly probe the magnetic interactions giving rise to the magnetic structure in the first place. Using Monte Carlo simulations, a robust algorithm to simulate the magnetic structure of materials, we can connect the underlying magnetic exchange parameters to the spin configurations from experimental mPDF data. We prove this concept using a simple two-dimensional Ising model and then demonstrate …

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Developing Microelectrode Arrays As Multiplex Point-Of-Care Diagnostics, Yu-Chia Chang Aug 2025

Developing Microelectrode Arrays As Multiplex Point-Of-Care Diagnostics, Yu-Chia Chang

Arts & Sciences Graduate Student Theses and Dissertations

Antibiotic resistance poses a significant global health challenge, particularly in urinary tract infections (UTIs), where 92% of cases exhibit resistance to at least one antibiotic, causing over 260,000 deaths annually. The emergence of antibiotic-resistant bacteria and growing awareness of the adverse effects of unnecessary antibiotic use highlight the urgent need for better UTI diagnostics. Current state-of-the-art methods are either expensive and time-consuming, or they lack specific details about the nature of the antibiotic and only determine inflammation. This hinders timely and effective treatment decisions regarding whether an antibiotic is actually necessary. Given this backdrop, there is a demand for a …

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An Enzyme-Coupled Isotope Dilution Mass Spectrometry Assay For Non-Adjacent Dna Photoproducts As Intrinsic Probes For G-Quadruplexes In Vitro, Savannah Sharee Scruggs Aug 2025

An Enzyme-Coupled Isotope Dilution Mass Spectrometry Assay For Non-Adjacent Dna Photoproducts As Intrinsic Probes For G-Quadruplexes In Vitro, Savannah Sharee Scruggs

Arts & Sciences Graduate Student Theses and Dissertations

G-quadruplexes are noncanonical secondary structures that form in guanine-rich nucleic acid sequences and are thought to be involved in the control of gene expression.1 Unfortunately, it has been difficult to prove that these structures exist in vivo because of their dynamic nature. Rather than try to develop G-quadruplex specific binders as others have done,2 our idea is to photochemically trap certain types of G-quadruplexes by irreversible photoproduct formation3–5 and then detect the stable G-quadruplex-specific photoproducts by Isotopic Dilution Mass Spectrometry (IDMS).6 This IDMS method could then be used to unambiguously confirm the presence of specific types of G-quadruplexes in vivo …

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Capers-Lrd-Z9: A Gas-Enshrouded Little Red Dot Hosting A Broad-Line Active Galactic Nucleus At Z = 9.288, Anthony J. Taylor, Vasily Kokorev, Dale D. Kocevski, Hollis B. Akins, Fergus Cullen, Mark Dickinson, Steven L. Finkelstein, Pablo Arrabal Haro, Volker Bromm, Mauro Giavalisco, Kohei Inayoshi, Stéphanie Juneau, Gene C.K. Leung, Pablo G. Pérez-González, Rachel S. Somerville, Jonathan R. Trump, Ricardo O. Amorín, Guillermo Barro, Denis Burgarella, Madisyn Brooks, Adam C. Carnall Aug 2025

Capers-Lrd-Z9: A Gas-Enshrouded Little Red Dot Hosting A Broad-Line Active Galactic Nucleus At Z = 9.288, Anthony J. Taylor, Vasily Kokorev, Dale D. Kocevski, Hollis B. Akins, Fergus Cullen, Mark Dickinson, Steven L. Finkelstein, Pablo Arrabal Haro, Volker Bromm, Mauro Giavalisco, Kohei Inayoshi, Stéphanie Juneau, Gene C.K. Leung, Pablo G. Pérez-González, Rachel S. Somerville, Jonathan R. Trump, Ricardo O. Amorín, Guillermo Barro, Denis Burgarella, Madisyn Brooks, Adam C. Carnall

Pacific Faculty Work

We present CAPERS-LRD-z9, a little red dot (LRD) that we confirm to be a z = 9.288 broad-line active galactic nucleus (BLAGN). First identified as a high-redshift LRD candidate from PRIMER NIRCam photometry, follow-up NIRSpec/PRISM spectroscopy of CAPERS-LRD-z9 from the CANDELS-Area Prism Epoch of Reionization Survey (CAPERS) has revealed a broad 3500 km s−1 full width at half-maximum Hβ emission line and narrow [O iii] λλ4959, 5007 lines, indicative of a BLAGN. Based on the broad Hβ line, we compute a canonical black hole mass of log ( M BH / M ⊙ ) = 7.58 ± 0.15 , …

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Harnessing Emergent Multiple Scattering Resonances In A Photonic Glass Structure For Photoelectrochemical Energy Conversion, Ashlyn G. Descarpentrie, Robert H. Coridan Aug 2025

Harnessing Emergent Multiple Scattering Resonances In A Photonic Glass Structure For Photoelectrochemical Energy Conversion, Ashlyn G. Descarpentrie, Robert H. Coridan

Chemistry & Biochemistry Faculty Publications and Presentations

Light trapping nanostructures are often necessary to improve carrier collection yields in semiconductor photoelectrodes with intrinsically poor electron transport. Photonic crystal templates can generate tailorable light trapping via periodic and precise nanostructure, though this is not a scalable strategy for photoelectrochemical (PEC) applications. It is therefore critical to identify alternative mechanisms for light trapping that tolerate disorder. Light trapping in disordered media is generated by the diffusive transport caused by multiple scattering. In some cases, multiple scattering can generate resonances that resemble those observed in photonic crystals. While resonant multiple scattering is a disorder tolerant light trapping mechanism, it is …

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