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Articles 13141 - 13170 of 291660
Full-Text Articles in Physical Sciences and Mathematics
Estimating The Future Frequency Of Bonnet Carré Spillway Openings, Kayla Thomas
Estimating The Future Frequency Of Bonnet Carré Spillway Openings, Kayla Thomas
LSU Master's Theses
In the 2010s, the Bonnet Carré Spillway (BCS) in southeastern Louisiana, U.S.A., experienced an unprecedented uptick in openings to mitigate the possibility of flooding, including a record double-opening in 2019. Both the environmental consequences of BCS openings associated with nutrients that run from the Mississippi River into Lake Pontchartrain and the synoptic-scale meteorological conditions that necessitate these openings are poorly understood. With the unexpectedly frequent openings in recent years and the ever-present threat of climate change, it is vital to consider the future shift of synoptic-scale climate patterns and how it can relate to BCS openings. Understanding the potential for …
Sequence Conservation Of Suppressor Of Ikk Epsilon Phosphorylation Sites, Kaydence M. Isaacs
Sequence Conservation Of Suppressor Of Ikk Epsilon Phosphorylation Sites, Kaydence M. Isaacs
Undergraduate Honors Theses
Suppressor of IKK epsilon (SIKE) is a protein that is implicated in immune response signaling pathways. SIKE interaction networks suggest roles in cell motility and macromolecular complexes mediating kinase/phosphatase activity. In this project, we aim to better understand the function of SIKE by analyzing amino acid sequences across different species. In human SIKE, viral infection leads to phosphorylation of SIKE at defined serine residues. Comparing SIKE sequences, and specifically these phosphorylation sites, allows us to discover its ancestral connections to innate immune function. This has particular applications in bridging the evolutionary gap between fungi and metazoa SIKE sequences. Multiple sequence …
Programming A More Efficient Onboarding Process For New Employees, Long H. Pham
Programming A More Efficient Onboarding Process For New Employees, Long H. Pham
Undergraduate Honors Theses
The current onboarding process for new hires in the University of San Diego’s Shiley-Marcos School of Engineering is inefficient. There is no central location where new hires and administrators can track onboarding progress. Both parties have to manage multiple email chains and write their own reminders to keep track of everything. This leads to delays, missing deadlines, and confusion for both parties. A web-based onboarding application has been developed recently to address these issues and streamline the onboarding process for new hires. However, this application contains several accessibility issues and does not follow all of the standards for effective employee …
Setting Up Students For Success: Analysis Of Effectiveness Of Mathematics Placement, Jeff Carvell, Jason Ho, David Klanderman, Sarah Klanderman
Setting Up Students For Success: Analysis Of Effectiveness Of Mathematics Placement, Jeff Carvell, Jason Ho, David Klanderman, Sarah Klanderman
University Faculty Publications and Creative Works
How do we e!ectively and equitably place students into math classes in a way that provides them the best chance of success? As many higher education institutions veer away from placement based on standardized testing, many departments are seeking placement alternatives that will properly support students. Additionally, math placement determines not only a student’s mathematics courses but also influences their progress in related fields, including physics, chemistry, engineering, and more. This paper will describe three di!erent existing placement systems at each of our liberal arts institutions as well as the a!ordances and constraints of each approach. Further, we analyze data …
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Insufficiently Reclaimed Sites Bres No. 158 Site Evaluation Summary Report (Dated February 24, 2025), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites Bres No. 158 – Waste Rock Dump Remedial Action Work Plan (Rawp) (Dated March 28, 2025), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Challenging $\Lambda$Cdm: Unraveling Cosmic Distances, Dark Sector Phenomenology, And Alternative Primordial B-Mode Sources, Kylar L. Greene
Challenging $\Lambda$Cdm: Unraveling Cosmic Distances, Dark Sector Phenomenology, And Alternative Primordial B-Mode Sources, Kylar L. Greene
Physics & Astronomy ETDs
The dominant Lambda Cold Dark Matter (LCDM) cosmological model, while remarkably successful, increasingly shows signs that it may not fully describe our Universe, as persistent tensions in expansion rates and structure formation remain unresolved. In this thesis, I challenge the LCDM paradigm using novel theoretical frameworks combined with rigorous numerical analyses. I demonstrate that the expansion-rate tension fundamentally reflects underlying distance disagreements, and that the Thomson scattering rate strongly restricts higher pre-recombination expansion rates without additional physics. Further, I present a novel cosmological model using a mirror dark sector and varying fundamental constants, revealing an observational degeneracy allowing significantly higher …
A Novel Approach To Model The Pion Structure Using Advanced Polynomial Functions, Lucas Kotz
A Novel Approach To Model The Pion Structure Using Advanced Polynomial Functions, Lucas Kotz
Physics Theses and Dissertations
In the coming years, new experiments at the Electron-Ion Collider (EIC) and the Large Hadron Collider (LHC) will provide unprecedented insight into the building blocks of matter. To make the most of these opportunities, scientists must reduce uncertainties in the theoretical models that connect what we observe in experiments to what is happening inside particles like protons and pions. A critical part of these models involves describing how a particles momentum is shared among its internal components – quarks and gluons.
This work focuses on improving how we model the internal structure of the pion. We propose a new approach …
Simulating 3d Humanoid Ragdoll Physics Using Velocity Verlet Integration, Pin Constraints, And Rigid Body Collision Systems, Son D. Nguyen
Simulating 3d Humanoid Ragdoll Physics Using Velocity Verlet Integration, Pin Constraints, And Rigid Body Collision Systems, Son D. Nguyen
Programming Theses and Dissertations
Ragdoll physics simulates realistic character collapse with physical realism by responding to environmental forces rather than using predefined animations.
Complementary Design Of Optical And Photochemical Systems, Joshua Plank
Complementary Design Of Optical And Photochemical Systems, Joshua Plank
Chemistry Theses and Dissertations
The ability to manipulate chemical systems has been prized through history as the bridge between the macroscopic and microscopic worlds. As an example, the camera obscura has arguably existed since the earliest days of humanity; however, it was the discovery of early silver halide chemistry that lead to the ability to fix these images into the earliest photographs. In modern photolithography employed in electronics manufacturing, the primary resolution limits arise not from the chemistry of the molecules involved, but from the limits of the systems used to project light. Thus, as much as photochemistry advances, optical imaging and projection techniques …
Quantum Chemical Methods And Multiscale Modeling In Computer-Aided Drug Design, Hunter W. La Force
Quantum Chemical Methods And Multiscale Modeling In Computer-Aided Drug Design, Hunter W. La Force
Chemistry Theses and Dissertations
Computer-Aided Drug Design (CADD) leverages a diverse toolkit of computational methods to accelerate the discovery and development of novel therapeutics. Among these, quantum chemical calculations provide unparalleled accuracy in understanding molecular interactions, albeit at a higher computational cost. This accuracy is crucial for identifying and quantifying fundamental interactions that dictate drug efficacy and selectivity, as exemplified by our investigation of ruthenium polypyridyl complexes. These metal-based compounds are model systems for studying covalent coordination bonds between ruthenium and its ligands and noncovalent interactions with DNA and protein targets. Local Mode Vibrational Theory emerges as a powerful lens within this framework, enabling …
The State Of Municipal Scale Highest Use Urban Wood Reclamation Projects, Bradley C. Almond
The State Of Municipal Scale Highest Use Urban Wood Reclamation Projects, Bradley C. Almond
Graduate Liberal Studies Theses and Dissertations
Millions of urban trees are downed annually for various reasons, such as storms, disease, or development. We are all witnesses to the loss of trees as we see the piles of woody waste assembled on the curbside, ready for public works pickup. Today, most urban wood waste ends up in landfills, mulching/chipping facilities, or firewood production. Each of these alternatives results in the release of sequestered carbon back into the atmosphere.
The initial research led to successful diversion from landfills to mulch and firewood operations. Then, the research shifted to converting urban wood waste for its best use, which outlined …
Nonlinear Phenomena Of Discrete Wave Systems With Nonlocal Coupling, Austin E. Marstaller
Nonlinear Phenomena Of Discrete Wave Systems With Nonlocal Coupling, Austin E. Marstaller
Mathematics Theses and Dissertations
There is a long and rich story of nonlinear dynamics in discrete lattices. A particular well studied model is the discrete Nonlinear Schr\"odinger Equation, with many applications, most notably in nonlinear optics.
Recent studies have explored dynamics in scenarios where coupling amongst the array elements is nonlocal. The interest in particular is that in the longwave approximation, it leads to fractional diffraction. In this contribution, we consider two long range interaction lattice wave models, the fractional discrete nonlinear Schr\"odinger equation and the Long Range Ablowitz-Ladik system. By use of perturbation methods, asymptotics and numerical simulations, we present results on modulational …
Data Encoding, Compilation, And Algorithms For Quantum Machine Learning, Aviraj Sinha
Data Encoding, Compilation, And Algorithms For Quantum Machine Learning, Aviraj Sinha
Computer Science and Engineering Theses and Dissertations
Quantum computing enables new approaches to data processing, especially in quantum machine learning. Unlike classical systems, quantum data must be synthesized through operations and can exist in superposition. Encoding choices affect efficiency, noise resilience, and trainability—key factors in quantum machine learning models. This dissertation enhances quantum data encodings by extending quantum read-only memory (QROM) beyond binary representations, improving efficiency and parallelism. It introduces new compilation methods for quantum random number generators (QRNGs), supporting non-parametric distributions for post-quantum cryptography. Additionally, it explores Cayley graph-based encodings to extract spectral features for quantum machine learning.
Hybrid Graph-Recurrent Architecture For Citation Recommendation Via Future Embedding Forecasting, Mohammad Ausaf Ali Haqqani
Hybrid Graph-Recurrent Architecture For Citation Recommendation Via Future Embedding Forecasting, Mohammad Ausaf Ali Haqqani
Computer Science and Engineering Theses and Dissertations
The rapid expansion of scientific literature has intensified the challenge of identifying relevant citations, particularly for newly published or under-cited papers. Traditional citation recommendation systems typically model static relationships or respond to past citation activity, offering limited predictive power for emerging works. In response, this thesis presents a temporal modeling framework for citation recommendation that anticipates future scholarly relevance by forecasting the latent representations of academic papers.
Building on prior work that utilized Temporal Graph Networks (TGNs) to model dynamic citation flows, we propose Graph-Time, a hybrid architecture that integrates a Graph Transformer with a GRU-based time series predictor. The …
Noise-Embedded Image Processing Based On Quantum Data Encodings, Yayu Mo
Noise-Embedded Image Processing Based On Quantum Data Encodings, Yayu Mo
Multidisciplinary Studies Theses and Dissertations
Advancements in quantum information have significantly impacted the field of image processing, although challenges remain. Especially in the edge detection and image encoding area, distorted feature and noises would affect the further classification or super resolution tasks. In our work, we conduct researches on two stages to both evaluate the potential of Quantum-based Convolutional Structure in extracting distorted feature and further explore the effects of quantum noise channels on quantum image encodings.
In the first stage, we propose a method to extract distorted edge features by applying shallow layers in quantum convolutional neural networks (QCNN). By combining the advantages of …
Asymmetric, Carboxy And Ester Functionalized Fluorophthalocyanines: Synthesis, Adsorption, And Reactivity, Sean J. Scally
Asymmetric, Carboxy And Ester Functionalized Fluorophthalocyanines: Synthesis, Adsorption, And Reactivity, Sean J. Scally
Seton Hall University Dissertations and Theses (ETDs)
Strong electron-deficient compounds, fluorinated metal phthalocyanines (FxPcM), exhibit enhanced photosensitizing properties, making them optimal candidates for photocatalytic studies. Perfluoroalkyl-substituted phthalocyanines are notably thermally robust materials that are chemically inert and resistant to electrophilic, nucleophilic, and radical, including reactive oxygen species (ROS) attacks. These properties can be attributed to their ‘Teflon-like’ inert organic shield that surrounds a reactive metal center, as well as their complete (x = 16, 40, 64), or almost complete (x = 48) lack of C-H bonds. Third-generation, functionalized, asymmetric phthalocyanines are of interest due to their ability to bind to oxidic supports via a carboxyl …
A Computational Method For Detecting Compound Promiscuity In Early-Stage Pharmaceutical Discovery, John Allen Ringer
A Computational Method For Detecting Compound Promiscuity In Early-Stage Pharmaceutical Discovery, John Allen Ringer
Computer Science ETDs
Modern drug discovery and chemical biology research relies heavily on analyzing bioassay data. One of the many challenges in bioassay data analysis is identifying false trails, i.e., chemical compounds which initially appear to have desirable activity but are found to be problematic upon further investigation. Badapple (the BioAssay-Data Associative Promiscuity Pattern Learning Engine) was created over ten years ago to help researchers identify promiscuous compounds and thus avoid a common source of these false trails. Through an effort involving software engineering, cheminformatics, and biomedical data science we have developed Badapple 2.0, which incorporates updated assay records and expanded data semantics. …
Investigating The Microbial Communities In Freshwaters Of Northern Sweden, Maizy Wilcox
Investigating The Microbial Communities In Freshwaters Of Northern Sweden, Maizy Wilcox
Undergraduate University Honors Capstones
Climate change is shifting the stability of sensitive ecosystems in the Arctic region due to global warming, with widespread impacts on permafrost regions, including the Stordalen Mire region of Sweden. Due to climate change, the Stordalen Mire is composed of thawing permafrost shifting into a wetland (V onk et al., 2015). As permafrost thaws, the landscape transforms due to changing water environmental conditions, causing lower pH changes and higher temperatures in the water, impacting the underlying soil chemistry and biology, vegetation, and microbial communities (Webb et al., 2022). The increased temperature can enhance methanogenic microbial growth by expanding the groundwater …
Seismological Applications To Crustal Deformation And Explosion Discrimination, Olumide Adedeji
Seismological Applications To Crustal Deformation And Explosion Discrimination, Olumide Adedeji
Earth and Planetary Sciences ETDs
There are many outstanding questions in seismology and plate tectonics that remain unresolved due to the complexity of seismic wave propagation, fault system evolution, and sedimentary-tectonic interactions. In this dissertation, I analyze seismic and acoustic data to improve event discrimination, understand strain partitioning along a transpressive plate boundary, and investigate the influence of tectonic deformation on sedimentary processes. Using seismic arrays, I assess the detectability of Ground Coupled Airwaves (GCA) generated by shallow borehole explosions and earthquakes, demonstrating that GCA detections are highly dependent on source type, environmental conditions and sensor distribution. Along the Queen Charlotte Plate Boundary, I analyze …
Integrating Case Studies With Meteorologists’ Insight: Assessing Meteorologists’ Perception And Utilization Of Composite Indices, Brianna Marie Salazar
Integrating Case Studies With Meteorologists’ Insight: Assessing Meteorologists’ Perception And Utilization Of Composite Indices, Brianna Marie Salazar
Theses and Dissertations
Meteorologists from sectors, including broadcast, academia, and operations, use derived composite indices such as 0-1km and 0-3km energy helicity index (EHI), effective-layer supercell composite parameter (SCP), fixed-layer and effective layer significant tornado parameter (STP), in addition to other resources, when developing severe local storm forecasts. This study utilizes the Weather Research and Forecasting (WRF) model to create simulations of composite indices for two tornado-producing events: 31 March 2023 and 3 May 1999. With modifications to geographical location, these simulated scenarios are then utilized in the survey to gauge how meteorologists assess where tornado potential is highest. Additionally, a combination of …
From Data To Action: An Adaptable Crosstabs Template For Participatory Survey Data Analysis, Natalia Pinzon, Vikram Koundinya, William O'R Dowling, Ryan Galt
From Data To Action: An Adaptable Crosstabs Template For Participatory Survey Data Analysis, Natalia Pinzon, Vikram Koundinya, William O'R Dowling, Ryan Galt
Journal of Extension
We present a practical and accessible template for quantitative survey data analysis designed for non-academic researchers in order to facilitate engagement from community collaborators. The template, created in Google Sheets, is mainly for computing cross-tabulations, but it also displays frequency distributions and p-values for determining statistical significance. The template allows collaborators to record their observations and questions, promoting an efficient yet interactive review process and fostering a democratic analysis environment. Based on our own experience using this template for a data party, we highlight its effectiveness in promoting collaborative data interpretation, decision-making, and the actionable use of survey findings.
06.16.2025 Ored Connect, Liz Williamson
06.16.2025 Ored Connect, Liz Williamson
ORED Newsletter
Email address Matters with SPAN and ARC Forms
Participant Support Costs training for PIs available in Blackboard
Assessment Of Water Quality And Remediation Of Heavy Metals In A Coastal System, Christiana Fumnanya Eziashi
Assessment Of Water Quality And Remediation Of Heavy Metals In A Coastal System, Christiana Fumnanya Eziashi
Theses and Dissertations
This research focuses on a three-part study to assess water quality in a coastal system and evaluate the absorption capacity of modified biochar and algae to remediate cadmium (Cd). The first chapter introduces the hypothesis and objectives, and the second chapter provides a detailed literature review. The third chapter focuses on the first study, where surface water samples and water quality data collected from a manned boat and a novel autonomous surface vessel (ASV) in the Western Mississippi Sound (WMS) in the summer of 2021 and 2022 were analyzed and the interrelationship between the nutrient, trace metals, salinity, and chlorophyll-a …
The Role Of Enso Diversity In Modulating Tornadic Activity In The United States, Davis Boyd Newton
The Role Of Enso Diversity In Modulating Tornadic Activity In The United States, Davis Boyd Newton
Theses and Dissertations
Tornado activity in the United States is influenced by large-scale climate patterns, especially by the El Niño-Southern Oscillation (ENSO). While prior research has explored ENSO’s impact on severe weather, the influence of ENSO flavors, Central Pacific (CP) and Eastern Pacific (EP), on tornadic activity remains understudied. Using tornado records, reanalysis data, and sea surface temperature anomalies, we assess how convective available potential energy (CAPE), wind shear, and jet stream dynamics influence tornado frequency and distribution. Results indicate that CP La Niña years had significant increases in tornado frequency, particularly across the Midwest, Central Plains, and Southeast. EP ENSO years had …
An Investigation Into The Inclusivity, Methodology, And Education Of Severe Weather In K-12 Schools, Stephen Holden Wooten
An Investigation Into The Inclusivity, Methodology, And Education Of Severe Weather In K-12 Schools, Stephen Holden Wooten
Theses and Dissertations
Schools are a focal point in the lives of everyone in the community, especially teachers, parents, and students. Investigating the connection between these individuals and tornadoes by identifying shortcomings in education, training, and emergency procedures can induce more effective and informed decision-making for future encounters. This study evaluated the inclusivity of tornado protocols for students with disabilities, uncovered where parents prefer their child to shelter in early dismissal situations and clarified how extensively natural hazard education and tornado drills are covered in schools. Two surveys and semi-structured interviews were used to obtain responses from earth science teachers, K-12 guardians, and …
Aerial Robotic Studies Of Volcanic Co2 Emissions, John Ericksen
Aerial Robotic Studies Of Volcanic Co2 Emissions, John Ericksen
Computer Science ETDs
Volcanic systems are inherently complex, involving dynamic interactions among magma flow, gas emissions, and atmospheric dispersion. This dissertation focuses on developing and analyzing autonomous UAS algorithms for efficiently surveying volcanic CO2 plumes, introducing several novel methods: the LoCUS algorithm, a swarm coordination and self-healing algorithm that supports gradient-based plume tracking, a transect-based technique that employs a 2D Gaussian fit to calculate CO2 plume flux, and the Sketch algorithm for rapid plume boundary tracing. By treating multiple UAS as a single scientific instrument, these methods leverage swarm algorithms to use in-situ data in ways impossible with individual drones. Validated through simulations …
Enhancing Water Supply Resilience & Sustainability: Potential Solutions To Address Water Scarcity In Bogotá, Colombia, Sophia Alvarez Wong
Enhancing Water Supply Resilience & Sustainability: Potential Solutions To Address Water Scarcity In Bogotá, Colombia, Sophia Alvarez Wong
Master's Projects and Capstones
Municipal water utilities are in urgent need of adapting to the intensifying impacts of climate change and population growth—key drivers of urban water scarcity worldwide. In rapidly expanding cities like Bogota, Colombia, these pressures have contributed to a severe water crisis driven by prolonged droughts, ecosystem degradation, increasing water demands, and overdependence on limited water sources. This study explores potential adaptation and management strategies that utilities can implement to sustainably strengthen supply system resilience and enhance water security, in the context of low- to middle-income regions. A series of comparative and case study analyses were conducted to assess the feasibility …
First Annual Advances In Business Education Conference 2025 Proceedings, Kelsey Metz, Joshua Ray
First Annual Advances In Business Education Conference 2025 Proceedings, Kelsey Metz, Joshua Ray
Advances in Business Education (ABE) Conference Proceedings
Conference Overview: The First Annual Advances in Business Education (ABE) Conference was held on May 16, 2025, at Lincoln Memorial University in Harrogate, Tennessee. Hosted by the LMU School of Business, the ABE Conference was established to promote teaching excellence through innovation and collaboration in business education. With a focus on fostering meaningful dialogue among educators, researchers, and students, the conference welcomed participants from across disciplines and institutions. The event was structured around three key tracks:
Pedagogy & Teaching Excellence: Showcasing innovative teaching methods and strategies for enhancing student learning and engagement.
Business Research: Presenting research focused on advancing knowledge …
California Kelp Forests: An Analysis Of Macrocystis Pyrifera And Nereocystis Luetkeana Restoration After Decades Of Decline, Gabrielle K. Farrer
California Kelp Forests: An Analysis Of Macrocystis Pyrifera And Nereocystis Luetkeana Restoration After Decades Of Decline, Gabrielle K. Farrer
Master's Projects and Capstones
California’s kelp forests are some of the most biodiverse and productive ecosystems on the planet. Centuries of anthropogenic degradation via habitat destruction and climate change have culminated in decreased kelp forest habitat at an accelerated rate since at least the 1850s (Scarborough et al. 2022; Rogers-Bennett & Catton, 2019; Kumagai et al. 2024; Smith et al. 2023). This study synthesizes major threats, past and present, to California’s kelp forests, including the overharvesting of multiple species, pollution from coastal development, and climate change impacts. I also examine current management practices regarding kelp forests such as the use of marine protected areas …