Physical Sciences and Mathematics Commons^™

Connecting Social And Ecological Systems In Small-Scale Fisheries In The Philippines, Sara Eisler Marriott

Dissertations

Nearly 50% of all marine fish capture in the Philippines is from artisanal fisheries, most of which is un- or under-reported. As in many emerging nations around the world, the Philippines cannot fully address overfishing by managing only half of the catch that comes from commercial fisheries. Marine reserves are a popular governance strategy for conservation and of growing interest for fisheries management. Many marine reserves in the Philippines, however, are not considered effective. In 2014, Rare, an international NGO, implemented a community-based management program to increase the effectiveness of the marine reserves, and while it found biomass increased, there …

Costs And Benefits Of Authentication Advice, Hazel Murray, David Malone

Department of Computer Science Publications

Authentication security advice is given with the goal of guiding users and organisations towards secure actions and practices. In this article, a taxonomy of 270 pieces of authentication advice is created, and a survey is conducted to gather information on the costs associated with following or enforcing the advice. Our findings indicate that security advice can be ambiguous and contradictory, with 41% of the advice collected being contradicted by another source. Additionally, users reported high levels of frustration with the advice and identified high usability costs. The study also found that end-users disagreed with each other 71% of the time …

An Analysis And Examination Of Consensus Attacks In Blockchain Networks, Thomas R. Clark

Senior Honors Projects, 2020-current

This paper examines consensus attacks as they relate to blockchain networks. Consensus attacks are a significant threat to the security and integrity of blockchain networks, and understanding these attacks is crucial for developers and stakeholders. The primary contribution of the paper is to present blockchain and consensus attacks in a clear and accessible manner, with the aim of making these complex concepts easily understandable for a general audience. Using literature review, the paper identifies various methods to prevent consensus attacks, including multi-chain networks, proof-of-work consensus algorithms, and network auditing and monitoring. An analysis revealed that these methods for preventing consensus …

Identifying Key Activity Indicators In Rats' Neuronal Data Using Lasso Regularized Logistic Regression, Avery Woods

Honors Theses

This thesis aims to identify timestamps of rats’ neuronal activity that best determine behavior using a machine learning model. Neuronal data is a complex and high-dimensional dataset, and identifying the most informative features is crucial for understanding the underlying neuronal processes. The Lasso regularization technique is employed to select the most relevant features of the data to the model’s prediction. The results of this study provide insights into the key activity indicators that are associated with specific behaviors or cognitive processes in rats, as well as the effect that stress can have on neuronal activity and behavior. Ultimately, it was …

Assorted Kerosene-Based Nanofluid Across A Dual-Zone Vertical Annulus With Electroosmosis, Sara I. Abdelsalam, A. M. Alsharif, Y. Abd Elmaboud, A. I. Abdellateef

Basic Science Engineering

The goal of this numerical simulation is to visualize the electroosmotic flow of immiscible fluids through a porous medium in vertical annular microtubes. The inner region (Region I) is filled with an electrically conducting hybrid nanofluid while an electrically conducting Jeffrey fluid is flowing in the second region (Region II). The chosen nanofluid is kerosene-based and the nanoparticles (Fe3O4-TiO2) are of a spherical shape. A strong zeta potential is taken into account and the electroosmotic velocity in the two layers is considered too. The annular microtubes are subjected to an external magnetic field and an electric field. The linked nonlinear …

Synthesis And Characterization Of Sodium Cathode Materials, He Zhou

McKelvey School of Engineering Graduate Student Theses & Dissertations

As sodium batteries hold great promise as a next-generation energy storage device to replace lithium batteries, the development of sodium battery materials has become increasingly urgent. The current study aims to investigate two potential sodium-ion battery cathode materials, Sodium Vanadium Phosphate, and Sodium Manganese Hexacyanoferrate, optimize the experimental procedures, conduct a systematic analysis of material properties and characterization, and ultimately determine the ideal synthesis conditions for these materials.

In the first part of the study, we focused on optimizing the synthesis of Sodium Vanadium Phosphate. By investigating various synthesis conditions, such as annealing temperature, pressure, ascorbic acid content, and material …

Approaches And Tools To Solving Complex Problems In Private Land Conservation, John T. Curnyn

Graduate Student Portfolios, Professional Papers, and Capstone Projects

The central theme throughout my four portfolio pieces is: approaches and tools that can be used to address complex problems involving private land conservation. I consider the broader human and environmental community health to be factors in successful private land conservation. The first portfolio piece examines a number of studies of conservation easements implemented to improve water quality, as well as their utility in avoiding land use conflict. My second portfolio piece is a reflective paper on my experience conducting a stakeholder assessment for the organization OneMontana. The assessment focused on creating a shared understanding of the issues related to …

Evaluation Of Promising Eco-Friendly Flame Retardants For Bio-Based Rigid Polyurethane Foams Based On Modified Castor Oil, Prasadi Abeysinghe Arachchilage

Electronic Theses & Dissertations

Fossil fuel derivatives in the polyurethane industry are gradually being replaced with environmentally friendly alternative bio-based resources. Vegetable-oil-based polyols are emerging bio-based resources that can decrease cost competitiveness in polyurethane markets, reduce environmental impacts, and meet the urgent need for green and sustainable development strategies. Among this, interest is the use of castor oil to make polyurethane because of its inedibility and the fact that it contains many functionalizable chemical groups. However, the poor thermal stability and low load-bearing capacity of castor-oil-based rigid polyurethane foam limits its application. Two methods were used to address these limitations: (i) more hydroxyl groups …

Sunflower Oil-Based Wood Adhesive With High Mechanical Strength And Enhanced Bonding By Introducing Fillers, Arjun Chaudhari

Electronic Theses & Dissertations

Petroleum-based compounds are generally utilized in industries for getting higher mechanical strength for wood application, where the process of synthesis releases toxins into the environment and causes health issues.

Because of this, scientists are trying to make biobased compounds and products. In this research, sunflower polyol was used to make polyurethane (PU) resin. For the formation of polyol, an epoxidation reaction followed by a ring-opening reaction was performed. The presence of hydroxyl groups was confirmed using Fourier transform infrared spectroscopy (FT-IR) and hydroxyl value determination test to confirm the polyol formation. After that, hydroxyl groups of polyol were reacted with …

Electrochemical Properties Of Mof-Derived Nickel Compounds For High-Performance Supercapacitors And Electrocatalysts, Shiva Bhardwaj

Electronic Theses & Dissertations

There are various forms in which humans use energy in daily life. From applications that require a high energy density to long-term storage, the requirements for energy usage are diverse. Therefore, with the continuous increase in users worldwide, more practical energy-driven sources are required, allowing manufacturers to look toward emerging functional materials. An emerging class of functional porous materials referred to as metal-organic framework (MOF) has received considerable attention over the past two decades, partially because of their potential use in various applications, including gas storage, molecular separations, electrocatalyst, and energy devices. For example, metal oxide and hydroxide-based MOF materials …

Rigorous Analysis Of Markov Processes With Applications To Quantum Information, Samuel Edwin Slezak

Physics & Astronomy ETDs

We present a rigorous analysis of the rapid convergence of techniques based on Markov chains for the simulation of thermal quantum systems. We show that a classical computing algorithm called path integral Monte Carlo is capable of simulating thermal states of transverse field Ising models above a threshold temperature by demonstrating the existence of a rapidly mixing Markov chain. We then turn to quantum computing algorithms and show that an idealized version of quantum Metropolis sampling can efficiently simulate systems that satisfy the eigenstate thermalization hypothesis. In a related result, we find a class of stoquastic frustration free Hamiltonians that …

Bulk Hydrogen Isotopes In Ordinary Chondrites, Michael J. Cato

Earth and Planetary Sciences ETDs

Bulk hydrogen isotopes in nominally anhydrous meteorites are a key component in our understanding of the distribution of hydrogen in our solar system, including the provenance of water on the Earth. Here, we develop a step-heated continuous-flow method to measure the bulk hydrogen isotopes in nominally anhydrous rocks and use this method to significantly increase the dataset of bulk hydrogen isotopes in ordinary chondrites, nearly doubling the number of equilibrated members. We found that as thermal alteration increases from petrologic type 3.0 to 4, there is a correlated decrease in both hydrogen content and isotope ratio, followed by no significant …

Mechanisim Of Plasmon-Driven Photochemical Reactions, Hamed Kookhaee

Chemistry and Chemical Biology ETDs

Understanding a photocatalytic reaction condition that selectively leads to a desired product on metal surfaces is a longstanding research problem in heterogeneous catalysis. Here, using plasmon enhanced N-demethylation of methylene blue (MB) as model reaction, we show that high degree of product selectivity can be achieved by switching the mechanism from charge transfer to adsorbate electronic excitation and vice versa using surface ligands. In the presence of cetyl trimethyl ammonium bromide (CTAB) surface ligand on gold nanoparticles, MB is selectively transformed to thionine at 633 nm excitation wavelength that overlaps with the electronic transition of the adsorbate. At resonant excitation …

How To Be An Anti-Racist Educator: A Book Review Through An Educational Perspective, Maria Cristina F. Soares, Melanie Morales

Journal of Multicultural Affairs

The authors reviewed the book How to be an Antiracist by Ibram X. Kendi (2019) while reflecting on how Kendi’s brilliant dismantlement of racism and discrimination would help educators become conscious of how racism operates in our society, their schools, and their communities. Kendi’s book could motivate teachers to self-reflect on intrinsic feelings and misconceptions about race and culture built over time, allowing them to adopt new attitudes towards their students and school community. The authors considered the need to reevaluate systemic racism in schools as research has, for instance, found evidence of discriminatory practices towards African American boys (Gregory …

Integrated Neutrosophic Best-Worst Method For Comprehensive Analysis And Ranking Of Flood Risks: A Case Study Approach From Aswan, Egypt, Safa Al-Saeed, Nabil M. Abdelaziz

Neutrosophic Systems with Applications

This paper presents a comprehensive framework for the analysis and ranking of flood risks with respect to regional variations and data uncertainties under a Neutrosophic environment. The research introduces a novel approach to flood risk mitigation and management, bringing together the scientifically robust Best-Worst Method (BWM) and single-valued Neutrosophic set for the first time. The unique application of a single-valued Neutrosophic set allows us to better illustrate and manage uncertainty, imprecision, and vagueness in data. Additionally, we employ BWM, a multi-factor decision-making method, for discerning and ranking the most influential flood risk factors. Together, the integrated methodologies provide a balanced, …

Estimating Snow Accumulation And Ablation With L-Band Interferometric Synthetic Aperture Radar (Insar), Jack Tarricone, Ryan W. Webb, Hans-Peter Marshall, Anne W. Nolin, Franz J. Meyer

Geosciences Faculty Publications and Presentations

Snow is a critical water resource for the western United States and many regions across the globe. However, our ability to accurately measure and monitor changes in snow mass from satellite remote sensing, specifically its water equivalent, remains a challenge. To confront these challenges, NASA initiated the SnowEx program, a multiyear effort to address knowledge gaps in snow remote sensing. During SnowEx 2020, the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) team acquired an L-band interferometric synthetic aperture radar (InSAR) data time series to evaluate the capabilities and limitations of repeat-pass L-band InSAR for tracking changes in snow water equivalent …

Detecting Gene-Gene Or Gene Environment Interactions In Association With Complex Disease Outcomes, Taiwo Adetunji Famuyiwa

Theses and Dissertations

Identifying gene–gene and gene–environment interaction is complicated and gainsaying most especially because of high multifactor dimensions involve in the analysis of such combination discrediting the functionality of parametric statistical method like Logistic Regression. [22] developed a multi-factor-dimensionality reduction (MDR) method for detecting and characterizing high-order gene-gene and gene-environment interactions in case-control and discordant-sib-pair studies with relatively small samples, which is inspired by the combinatorial partitioning method of [18]. [16] proposed Generalized MDR (GMDR) framework based on the score of a generalized linear model which allows adjustment of covariates, provides a unified framework for handling both dichotomous and quantitative phenotypes. However, …

Automatic Identification Of Jetting Behavior In 3d Printing With Binary Classification And Anomaly Detection, Alexander Chandy

Honors Scholar Theses

Consistently jetting different materials from the print head of a 3D printer is a key, yet challenging task in manufacturing processes. By using active machine learning, we can efficiently predict complex diagrams that illustrate the region of printing conditions under which “desirable jetting”, “jetting”, and “no jetting” of ink occurs for different substances. However, labeling the images of printed ink droplets that are fed to the active learning model can be time intensive. Therefore, it is ideal to use computer vision to automate the classification of this image data. This classification can be broken down into two steps. In the …

Mechanobiology As A Tool For Addressing The Genotype-To- Phenotype Problem In Microbiology, Merrill E. Asp, Minh-Tri Ho Thanh, Subarna Dutta, Jessica A. Comstock, Roy D. Welch, Alison E. Patteson

Physics - All Scholarship

The central hypothesis of the genotype–phenotype relationship is that the phenotype of a developing organism (i.e., its set of observable attributes) depends on its genome and the environment. However, as we learn more about the genetics and biochemistry of living systems, our understanding does not fully extend to the complex multiscale nature of how cells move, interact, and organize; this gap in understanding is referred to as the genotype-to-phenotype problem. The physics of soft matter sets the background on which living organisms evolved, and the cell environment is a strong determinant of cell phenotype. This inevitably leads to challenges as …

Analyzing Motivation And Sense Of Belonging Belonging In Cs1 Review Sessions, Cory Longenecker

Senior Honors Projects, 2020-current

The Computer Science Department at James Madison University has a Teaching Assistant program which aims to help students succeed in early-level Computer Science courses. Part of this program is a review session, the Fourth Hour, which provides students extra help on the concepts taught each week in class. Historically, attendance at this review session has been low. Because of this, the study aimed to increase attendance by motivating students through interventions, primarily offering quiz retakes to students who attended. Additionally, this study looked at the reported sense of belonging for participants who attended.

We made three conclusions from survey data …

Generative And Pseudo-Relevant Feedback For Sparse, Dense And Learned Sparse Retrieval, Iain Mackie, Shubham Chatterjee, Jeffrey Dalton

Computer Science Faculty Research & Creative Works

Pseudo-relevance feedback (PRF) is a classical approach to address lexical mismatch by enriching the query using first-pass retrieval. Moreover, recent work on generative-relevance feedback (GRF) shows that query expansion models using text generated from large language models can improve sparse retrieval without depending on first-pass retrieval effectiveness. This work extends GRF to dense and learned sparse retrieval paradigms with experiments over six standard document ranking benchmarks. We find that GRF improves over comparable PRF techniques by around 10% on both precision and recall-oriented measures. Nonetheless, query analysis shows that GRF and PRF have contrasting benefits, with GRF providing external context …

Exploration Of Feature Selection Techniques In Machine Learning Models On Hptlc Images For Rule Extraction, Bozidar-Brannan Kovachev

Honors Theses

Research related to Biology often utilizes machine learning models that are ultimately uninterpretable by the researcher. It would be helpful if researchers could leverage the same computing power but instead gain specific insight into decision-making to gain a deeper understanding of their domain knowledge. This paper seeks to select features and derive rules from a machine learning classification problem in biochemistry. The specific point of interest is five species of Glycyrrhiza, or Licorice, and the ability to classify them using High-Performance Thin Layer Chromatography (HPTLC) images. These images were taken using HPTLC methods under varying conditions to provide eight …

Design And Synthesis Of Dinucleating Phthalazine-Based Ligands Toward Bimetallic Ruthenium Catalysts For Water Oxidation, Alex Bromley

Honors Theses

Two synthetic pathways were developed to construct dinucleating ligands towards the synthesis of bimetallic ruthenium-based water oxidation catalysts. The motivation for this work stems from earlier observations of related ligands that are susceptible to oxidative decomposition. The design pursued here incorporates a phthalazine core into the dinucleating ligand, which, we hypothesize, will prevent the previously established cleavage of a pyridazine unit at the same position. The ligand precursors involved in the multi-step syntheses are characterized by Nuclear Magnetic Resonance (NMR) spectroscopy. Synthetic protocols were refined to ensure reproducibility. In addition, our hypothesis for which of the two target ligands will …

U-No: U-Shaped Neural Operators, Md Ashiqur Rahman, Zachary E Ross, Kamyar Azizzadenesheli

Department of Computer Science Faculty Publications

Neural operators generalize classical neural networks to maps between infinite-dimensional spaces, e.g., function spaces. Prior works on neural operators proposed a series of novel methods to learn such maps and demonstrated unprecedented success in learning solution operators of partial differential equations. Due to their close proximity to fully connected architectures, these models mainly suffer from high memory usage and are generally limited to shallow deep learning models. In this paper, we propose U-shaped Neural Operator (U-NO), a U-shaped memory enhanced architecture that allows for deeper neural operators. U-NOs exploit the problem structures in function predictions and demonstrate fast training, data …

Decoding The Flavor Of Kentucky's Native Pawpaw Fruit, Mackenzie Leanne Roark

Online Theses and Dissertations

The objective of this research was to decode the flavor of Asimina triloba, or the pawpaw fruit, to identify and quantitate the aroma-active compounds that are present. Gas chromatography – olfactometry (GC-O) was applied on capillary GC columns with various means of extraction. The volatile compounds present were extracted using both headspace solid phase micro-extraction (HS-SPME) for 30 minutes at 23°C and 50°C, and solvent extraction using methylene chloride. The sample extracts were analyzed with both gas chromatography – mass spectrometry (GC-MS) and gas chromatography – olfactometry (GC-O). To eliminate potential artifacts that were observed when using HS-SPME at 50°C, …

Monolithic Multiphysics Simulation Of Hypersonic Aerothermoelasticity Using A Hybridized Discontinuous Galerkin Method, William Paul England

Theses and Dissertations

This work presents implementation of a hybridized discontinuous Galerkin (DG) method for robust simulation of the hypersonic aerothermoelastic multiphysics system. Simulation of hypersonic vehicles requires accurate resolution of complex multiphysics interactions including the effects of high-speed turbulent flow, extreme heating, and vehicle deformation due to considerable pressure loads and thermal stresses. However, the state-of-the-art procedures for hypersonic aerothermoelasticity are comprised of low-fidelity approaches and partitioned coupling schemes. These approaches preclude robust design and analysis of hypersonic vehicles for a number of reasons. First, low-fidelity approaches limit their application to simple geometries and lack the ability to capture small scale flow …

Celebrating Native Chemists And Encouraging More Native Talent In Stem, Lisa Villa

Staff publications

This editorial was written to accompany cover art submitted to the American Chemical Society's 2023 ACS Diversity & Inclusion Cover Art Series, and selected as the July cover for Environmental Science & Technology Letters. The artwork design features several prominent chemists who are also strong advocates for increasing the number of Native American/First Nation scientists. They recognize how cultural beliefs may often be in conflict with scientific conversations, but have been working to attract and encourage Native American talent in the STEM fields.

The published cover art is included as a supplemental file.

Natural Amino Acid Derived Iron (Iii) Catalysts For Green Oxidation Chemistry Applications, Karie Sanford

Theses and Dissertations

Tetraamido macrocyclic ligand activators are a group of catalysts that have been developed to perform green oxidation chemistries. In this thesis, the traditional synthesis of these catalysts was successfully altered to begin with natural amino acids, rather than the conventionally used synthetic derivatives of amino acids, which has never been shown in previous research. This was confirmed using a variety of characterization techniques including electrospray ionization-mass spectrometry. One of these catalysts was utilized in several dye degradation studies, where it was determined that the catalyst can remove about 98% of methylene blue and indigo carmine pollutants from water within 45 …

Imperfect Immunity And The Stability Of A Modified Kermack-Mckendrick Model, Kaylee Sims

Honors Theses

The classic Kermack-McKendrick model of mathematical epidemiology suggests that a population is only in equilibrium when there is no disease present. In the modern era, we have several cyclic infectious diseases that show no signs of eradication, despite global health measures. In this thesis, we introduce a coefficient of waning immunity in order to produce a modified Kermack-McKendrick model and analyze whether the model yields system stability with a certain amount of infection present. Ultimately, the model is incongruent with real-world case data, with its most glaring failure being exponential dampening of the height of each disease case peak due …

Limits Of Tectonic Reactivation On Mars Using Earth Analogue Analysis And Numerical Modeling, Jonathan Rich

Theses and Dissertations

Recent geodynamic modeling studies suggest that the geometry of structural landforms in the Ouachita Mountains (OM) has been influenced by the reactivation of a weak scar in the mantle-lithosphere during intracontinental orogenesis. As deformation on one-plate planets such as Mars can be considered intracontinental, and impact cratering deeply scarred the Martian lithosphere, we hypothesize that structural geometries on Mars may also reflect heterogenous networks of lithospheric scarring. To investigate this hypothesis, we model the pre-erosional fold structure of the Maumelle Chaotic Zone in the OM to compare fault and fold geometries with that of the seismically-imaged mantle-lithosphere scar. We then …