Physical Sciences and Mathematics Commons^™

Elevating Urban Landscapes: How Green Roofs Enhance Biodiversity And Address Climate Change In California, Jeffrey R. Beaudoin

Master's Projects and Capstones

Green roofs are increasingly valued for mitigating the Urban Heat Island effect, providing thermal comfort amidst rising temperatures of climate change, enhancing hydrological properties, and improving urban biodiversity. In this report, I explore the environmental benefits and practical challenges of green roofs, with a specific focus on California. My study evaluates the effectiveness of green roofs in enhancing environmental sustainability using a weighted rating system. I categorize the benefits of green roofs into key areas: thermal performance, stormwater management, ecological support, mental health benefits, noise reduction, air quality improvement, and water quality enhancement. Green roofs have shown the potential for …

Supporting South Korea’S Aging Population: How Ai And Iot Acceptance Connects The Young And Old, Bobby Im

Master's Projects and Capstones

In 2024, South Korea surpassed every other nation by becoming the country with the lowest fertility rate (below 0.7%). Population decline will hinder future ability to care for their aging population and although the government and private corporations are investing millions of dollars on developing Artificial Intelligence-Internet of Things (AI-IoT) devices to support the aging, the acceptance levels and the amount of family support required is undervalued. By examining AI-IoT’s current use and role in South Korea’s public health system this paper shows how intergenerational support helps optimize existing procedures and equipment, increases the level of acceptance and use, and …

From Pixels To Plants: Remote Sensing Of California Invasive Plants, Kenneth Rangel

Master's Projects and Capstones

Invasive plants cause significant impacts to ecosystems, the economy, and human health. California has experienced significant plant invasions and is well suited to future invasion because of its Mediterranean climate and human disturbance. Eradication or control of invasive plant species requires a detailed understanding of their spatial distribution, which typically involves on the ground surveys that can be expensive or inconsistent. Remote sensing offers a potential alternative or supplement to in-person invasive plant mapping. This study performed a comparative analysis of 41 remote sensing studies that mapped the distribution of California invasive plants. I found that while high spectral resolution …

Helping The Home Cook: How Unsupervised Machine Learning Can Prevent Food Waste, Ryan B. Watson

Honors Projects

A common problem for the home cook is having too much of one food ingredient leftover, then not knowing what to do with it. To alleviate this problem, I propose using an unsupervised machine learning model to recommend recipes based on what ingredients the home cook wants to use. This model is built with FastText and trained on the recipe ingredients in the RecipeNLG dataset. Recipes are recommended based on which recipe ingredient set is most similar to the recipe ingredients provided in the user input. This solution will reduce consumer food waste by giving the home cook the information …

Releases Of Hazardous Materials And Waste From Transportation Incidents In The Us: An Analysis To Increase Environmental Resiliency, Elizabeth Irene Tautges

Master's Projects and Capstones

Excessive amounts of hazardous materials and waste are released into the environment from transportation incidents. The United States federal government has regulations on the movement of hazardous material and waste during transportation, but preventing environmental releases is not a major priority. Multiple external factors influence the release of hazardous material and waste into the environment. Transportation incidents can be prevented by modifying the information collected in emergency reports, adjusting transportation patterns and conditions, and expressing negative environmental impacts, preparing responder efforts to communicate effectively. The components of previous hazardous materials and waste releases emphasize the needed improvements for increasing environmental …

Making The Most Of Artificial Intelligence And Large Language Models: A Novel Approach For Book Recommendation And Discovery In Medical Libraries, Ivan Portillo, David Carson

Library Presentations, Posters, and Audiovisual Materials

This poster presentation evaluates the use of Artificial Intelligence and large language models (LLMs) to assist health science libraries in recommending and discovering book titles as part of their collection development. Using pre-determined prompts, the researchers evaluated ChatGPT 4.0, Bing Chat, and Google Bard as recommender systems for book discovery and ranking existing titles.

Non-Destructive Determination Of Surface Area In Reverse Phase Chromatographic Columns, Margaret Figus

Seton Hall University Dissertations and Theses (ETDs)

Excess adsorption isotherms of acetonitrile and methanol from water were measured on eight commercial columns. Columns used in this study represent the latest examples in column development and include three different poroshell columns (Kinotex C18, Ascentis C18, and Halo C18) as well as conventional columns with significantly different adsorbent geometries (Allure C18, YMC C18) and various hybrid-silica columns (Gemini C18, Xterra C18, and XBridge C18). Comparison of the excess adsorption isotherms measured on all these columns and expressed in surface-specific form demonstrated significant similarity of the adsorption properties of all columns, which allows the introduction of the Standard Excess Adsorption …

An Interdisciplinary Exploration Of Carbon Offsets In Higher Education, With An Analytical Case Study Of The University Of Lynchburg, Grace Milligan

Undergraduate Theses and Capstone Projects

Carbon dioxide is warming our planet and causing our climate to change. There are disputes in the environmental sustainability community today about the best way to address rising carbon dioxide (CO2) emissions, especially in institutions of higher education (IHE). One method corporations, individuals, and IHEs use to address their own CO2 emissions is by purchasing carbon offsets. After the entity measures its carbon footprint, they purchase carbon offsets to reach “carbon neutral” or “net-zero emissions.” The topics of carbon neutrality and carbon offsets are important for the IHEs who want to be sustainable, like the University of Lynchburg, because the …

Effects Of Urbanization On Winter Bird Biodiversity, Margaret Kicklighter

Undergraduate Theses and Capstone Projects

Aves (birds) is an essential class of animals that contribute to ecosystem function as predators, pollinators, scavengers, seed dispersers, seed predators, and ecosystem engineers. However, Aves, and the roles they fill, are threatened when ecosystems are altered, fragmented, and destroyed by urban expansion. Some bird species can continue to live in urban environments, but many are unable to tolerate habitat loss. Birds’ differing capacities to tolerate urban environments is crucial knowledge that informs conservation efforts, influences which ecosystem services are lost, and determines how species richness and diversity changes. This study analyzed how overall bird diversity responds to urbanization. Additionally …

Visualization Fair Division – Using Visualization To Find Solutions To The Fair Division Problem, Jackson Wise

Undergraduate Theses and Capstone Projects

This thesis builds upon previous work done on the topic of fair division to attempt to answer the question as to whether computers can be used to determine a fair division of assets among players. The experiment I will be conducting will dive into how fairness can be achieved through visualization technology. There will also be a literature review portion of this thesis that will delve into topics such as different fair division algorithms and the criteria of fairness they use, the application of those algorithms in real life situations, and the computation constraints that come with fair division algorithms. …

Using Virtual Power Plants To Advance Decarbonization And Energy Equity In California, Cheri Tsoi Yu Tse

Master's Theses

To achieve 60% renewable electricity generation by 2030 and 100% zero-carbon electricity by 2045, California must rapidly electrify and decarbonize all sectors while ensuring grid stability to avoid power outages. Virtual power plants (VPPs) are an emerging solution that can help increase the percentage of renewable energy on California’s electrical grid. This research examined how VPPs can advance decarbonization, grid stability, and energy equity in California. The report begins by clarifying the definitions and components of a VPP, finding the crucial interactions among distributed energy resources (DERs), management systems, and prosumers (energy consumers who both produce and consume electricity). Next, …

The Investigation Of The Reaction Of 2,3-Dimethylfuran With O(³P) And The Estimate Of The Photoionization Cross Section Of C-Cl And Absolute Photoionization Cross Sections Of Chlorinated Organic Compounds, Yilan Lori Chen

Master's Theses

The work presented in this thesis focuses on gas-phase reactions, which are fundamental for reducing greenhouse gas emissions and mitigating climate change. The experiments are performed at the Advanced Light Source (ALS) of Lawrence Berkeley National Laboratory, where there is a time-of-flight mass spectrometer coupled with tunable synchrotron radiation at Beamline 9.0.2 to collect high-quality data.

Chapter 1 details the background and purpose of each project, along with an overview of the origins of synchrotron radiation and time-of-flight mass spectrometry. The adaptation of biofuels is a way to minimize carbon emission and air pollutants, so research surrounding the reaction dynamics …

A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker For High-Dose-Rate (Hdr) Mri-Assisted Radiosurgery (Mars), Li Wang, Yao Ding, Teresa L. Bruno, R. Jason Stafford, Eric Lin, Tharakeswara K. Bathala, Jeremiah W. Sanders, Matthew S. Ning, Jingfei Ma, Karen S. Martirosyan

Physics & Astronomy Faculty Publications

Magnetic resonance imaging (MRI) can facilitate accurate organ delineation and optimal dose distributions in high-dose-rate (HDR) MRI-Assisted Radiosurgery (MARS). Its use for this purpose has been limited by the lack of positive-contrast MRI markers that can clearly delineate the lumen of the HDR applicator and precisely show the path of the HDR source on T1- and T2-weighted MRI sequences. We investigated a novel MRI positive-contrast HDR brachytherapy or interventional radiotherapy line marker, C4:S, consisting of C4 (visible on T1-weighted images) complexed with saline. Longitudinal relaxation time (T1) and transverse relaxation time (T2) for C4:S were measured on a 1.5 T …

Towards A New Role Of Mitochondrial Hydrogen Peroxide In Synaptic Function, Cliyahnelle Z. Alexander

Student Theses and Dissertations

Aerobic metabolism is known to generate damaging ROS, particularly hydrogen peroxide. Reactive oxygen species (ROS) are highly reactive molecules containing oxygen that have the potential to cause damage to cells and tissues in the body. ROS are highly reactive atoms or molecules that rapidly interact with other molecules within a cell. Intracellular accumulation can result in oxidative damage, dysfunction, and cell death. Due to the limitations of H₂O₂ (hydrogen peroxide) detectors, other impacts of ROS exposure may have been missed. HyPer7, a genetically encoded sensor, measures hydrogen peroxide emissions precisely and sensitively, even at sublethal levels, during …

Time Scale Separation In Life-Long Ovarian Follicles Population Dynamics Model, Romain Yvinec, Frédérique Clément, Guillaume Ballif

Biology and Medicine Through Mathematics Conference

No abstract provided.

A Mathematical Modeling Study On Hdv Rna, Alt, And Hbsag Dynamics Reveals Dual Mechanisms Of Peginterferon-Lambda., Adquate Mhlanga, Ohad Etzion, Harel Dahari

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling Of Intracellular Compartmentalized Gpcr Signaling, Léo Darrigade

Biology and Medicine Through Mathematics Conference

No abstract provided.

Multi-Type Branching Processes In Time-Varying Environments, Arash Jamshidpey

Biology and Medicine Through Mathematics Conference

No abstract provided.

Benefit Of Medication Reconciliation Practices On Patient Health Outcomes In A Healthcare Setting, Helen Harris, David Petrulis, Lauren Trepp, Bryan Chong, Jillian Haas, David Chan, Laura Ellwein Fix

Biology and Medicine Through Mathematics Conference

No abstract provided.

A Model Of Oocyte Population Dynamics For Fish Oogenesis, Louis Fostier, Frédérique Clément, Romain Yvinec, Violette Thermes

Biology and Medicine Through Mathematics Conference

No abstract provided.

A Histological Data-Driven Analysis Of The Hypoxic Microenvironment Of Preclinical Murine Bladder Tumors, Awino Maureiq E. Ojwang'

Biology and Medicine Through Mathematics Conference

No abstract provided.

Time-Dependent Antibody Kinetics For Infected And Vaccinated Individuals Via Graph-Theoretic Modeling, Rayanne Luke, Prajakta P. Bedekar, Anthony Kearsley

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling Fast Information And Slow(Er) Disease Spreading: A Geometric Analysis, Iulia Martina Bulai, Mattia Sensi, Sara Sottile

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling And Control Of Drug Resistance In Cancer Dynamics, James Greene

Biology and Medicine Through Mathematics Conference

No abstract provided.

Reaction-Diffusions System Simulated On Irregular Shapes And Surfaces Model Petal Spot Patterns In Monkeyflower Hybrids, Emily Simmons, Arielle M. Cooley, Joshua R. Puzey, Gregory D. Conradi Smith

Biology and Medicine Through Mathematics Conference

No abstract provided.

Fusing Classic Motion Energy Models And Deep Learning For Coarse-To-Fine Moving Object Segmentation, Matthias Tangemann, Matthias Kümmerer, Matthias Bethge

MODVIS Workshop

Classic motion energy models are able to predict a wide range of physiological and behavioral aspects of motion perception in humans. Whether these models can be used as a basis for higher-level tasks, such as moving object segmentation, has however hardly been explored yet. Here, we present a model that combines a motion energy representation with recent computer vision approaches for figure-ground segmentation of naturalistic stimuli. We find that unlike established motion segmentation models but similar to humans, our model generalizes to random-dot stimuli when only trained on RGB videos.

Theory Of An Automatic Seepage Meter And Ramifications For Applications, V. A. Zlotnik, D. K. Solomon, D. P. Genereux, T. E. Gilmore, C. E. Humphrey, A. R. Mittelstet, A. V. Zlotnik

Conservation and Survey Division: Faculty and Staff Publications

No abstract provided.

Differential Equations For Modeling Pathways Leading To Diabetes Onset, Viktoria Savatorova, Aleksei Talonov

CODEE Journal

This paper presents a mathematical model that explains potential pathways leading to diabetes onset. By utilizing a system of nonlinear differential equations to describe the dynamics of the glucose regulatory system, the model can serve as a pedagogical tool for teaching and learning differential equations, dynamical systems, mathematical modeling, and introduction to biomathematics. Within this framework, students can analyze equilibrium solutions, investigate stability, assess parameter sensitivity, and explore the potential for bifurcations. Theoretical analysis is complemented by illustrative numerical examples. Instructors have the flexibility to adapt and incorporate suggested activities according to their teaching preferences and objectives.

Magmatic Conditions Aiding Synconvergent Extension Above The Peruvian Flat Slab, Tyler A. Grambling, Micah J. Jessup, Dennis L. Newell, Nadine L. Grambling, Coleman D. Hiett

Geosciences Faculty Publications

The Cordillera Blanca and Cordillera Huayhuash contain some of the highest topography in the Andes and provide insight into tectonomagmatic processes associated with the onset of flat-slab subduction. These adjacent ranges shared a similar history of deformation and exhumation prior to the late Miocene, when synconvergent extension began in the Cordillera Blanca. Magmatism in the Cordillera Huayhuash has been inferred as coeval with magmatism in the Cordillera Blanca. Yet, extension, which has been correlated with magmatic heat flow, is limited to the Cordillera Blanca. New zircon U-Pb dates and trace and rare earth element concentrations from the Cordillera Blanca batholith …

Exchangeability And A Model Of Biological Evolution, Renee Haddad

Honors Scholar Theses

A sequence of random variables (RVs) is exchangeable if its distribution is invariant under permutations. For example, every sequence of independent and identically distributed (IID) RVs is exchangeable. The main result on exchangeable sequences of random variables is de Finetti's theorem, which identifies exchangeable sequences as conditionally IID. In this thesis, we explore exchangeability, provide an elementary proof of de Finetti's theorem, and present two applications: the classical Polya's urn model and a toy model for biological evolution.