Digital Commons Network^™

A Formal Simulation Model For Discrete Rate Simulation, Thomas J. Tracey

Electrical & Computer Engineering Theses & Dissertations

Simulation is an essential tool for virtualizing systems by creating a representative model of real or hypothetical systems and observing how they change over time. Two predominant simulation paradigms include Discrete Event Simulation (DES) and Continuous Simulation, which both have their strengths and weaknesses. DES does not handle continuous state variables, while continuous simulation handles continuous state variables but encounters errors where these variables have discrete changes in their behavior. This difficulty between the two predominant simulation paradigms prompted the creation of a new simulation paradigm to cover this gap: Discrete Rate Simulation (DRS). DRS as a simulation paradigm focuses …

The Role Of Artificial Intelligence In Workforce Learning And Development: A Systematic Review, Mildred V. Jones

Educational Leadership & Workforce Development Theses & Dissertations

The purpose of this study is to investigate how artificial intelligence (AI) is currently employed in workforce learning and development. The study examined the types of AI employed and the affordances realized for organizations and employees. A PRISMA systematic review methodology was utilized to address the overarching problem statement and answer the three questions guiding the study. The PRISMA extension Preferred Reporting Items for Systematic Reviews and Meta Analysis for Protocols was used to direct each phase of the research. In addition, the Preferred Reporting Items for Systematic Reviews and Meta Analysis was used to conduct the article selection process. …

College Of Natural Sciences Newsletter, Spring 2025, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Page 1 Dean's Message from Dr. Sen Subramanian
Page 2 Student Spotlights
Page 3 Kaushik honored, Three-Minute Thesis, & Ice Cores revealed
Page 4 Alumni Spotlight
Page 5 Day of Scholars
Page 6 Cyanide research, Record Research Expenditures, Adhikari awarded Miller Research Award
Page 8 Hanson Receives NSF Grant
Page 9 Snow Lab Research Team
Page 10 Faculty Awards
Page 11 Drone Day
Page 13 Khalaf Awarded Presidential Award

Common Terns (Sterna Hirundo) As Bioindicators For Atlantic Herring (Clupea Harengus) Distribution In The Gulf Of Maine, Logan R. Becker

Student Publications

Effective fisheries management is increasingly challenged by climate-driven shifts in species distribution and by a lack of data on early life stages of key forage fish species. In the Gulf of Maine, Atlantic herring (Clupea harengus), a once economically dominant fishery species and a key prey species for many dependent predators, has declined due to poor early-stage recruitment and warming waters. Despite this decline, current trawl surveys do not inform early-stage Atlantic herring distribution due to mesh size limitations, leaving critical gaps in our knowledge. To address this knowledge gap, I used common terns (Sterna hirundo) …

Heartbeats And Algorithms: Black Pre- Med Students At The Crossroad Of Cardiology And Ai, Shuri Magdalene

Posters - 2025

The rapid integration of artificial intelligence (AI) is reshaping the healthcare landscape. • The underrepresentation of Black/African American (BAA) doctors is alarming with recent data of active physicians from the Association of Medical Colleges in 2021 has highlighted this underrepresentation of Black/ African American physicians in the U.S., with only about 5.7%1 of doctors belonging to this demographic, and cardiologists making up a mere 4.2% of this group1 .

Detection Of Microplastics In The Hindgut Content Of Zophobasmoriolarvae, Zoey Drexler

Posters - 2025

Microplastic and nanoplastic pollution is a growing environmental concern, with potential impacts on soil ecosystems and the organisms within them. Insects play a crucial role in soil health, and their digestive processes may influence the fate of microplastics in terrestrial environments.

Detection of micro- and nano-plastic particles in complex mixtures such as soil, sediments, and feces is difficult because these small particles often resemble particles of mineral or organic materials. One way to visualize them more specifically is by using Nile Red, a stain which is a dull blue when in aqueous on hydrophilic conditions, but which fluoresces bright red …

Exploring Rotational Energy Transfer Of Intermolecular Collisions In Complex Systems: A Mqct Approach, Carolin Anna Joy

Dissertations (1934 -)

The accurate modeling of molecular spectra in astrophysical environments requires detailed understanding of collisional energy transfer processes, which remains a significant challenge due to the computational complexity of quantum mechanical calculations for larger molecules, heavier projectiles, and higher collision energies. This dissertation addresses this challenge through the development and application of Mixed Quantum/Classical Theory (MQCT), a hybrid approach that combines quantum mechanical treatment of internal molecular motion with classical description of translational degrees of freedom. The methodology was first validated through detailed study of rotational energy transfer in the ND3 + D2 system, demonstrating excellent agreement with full quantum results …

Synthetic And Mechanistic Investigations Of Ruthenium Catalyzed Coupling Reactions Via C−C And C−N Bond Activation, Aldiyar Shakenov

Dissertations (1934 -)

Transition-metal catalyzed C-N and C-C bond activation reactions are synthetically valuable reactions for selective and atom-economical synthesis of complex organic molecules. Catalytic reactions that involve activation of unreactive bonds are important for the stereoselective synthesis of molecular scaffolds from readily available substrates derived from bio-mass feedstock. Despite these advances, designing a broadly applicable catalytic method faces challenges of selectivity and harsh reaction conditions. A five coordinate Ru-H complex was found to be an effective catalyst for promoting the multicomponent deaminative coupling reaction of anilines, aldehydes and tertiary amines to selectively afford 2,3-disubstituted quinoline products. The scope of the reaction was …

Pull Up A Chair, Deep Blue: Ai In Honors Education, Betsy Greenleaf Yarrison

Journal of the National Collegiate Honors Council Online Archive

Generative AI is the latest in a succession of technologies that allow us to do with machines what we used to have to do by hand. This essay argues that the elements of teaching in honors that can be automated probably should be and that it is the role of honors faculty to teach students how to distinguish superior thought from mediocre thought, good questions from great ones, and solid supporting evidence from weak or biased counterparts. Large learning models (LLMs) only collate what is already known and cannot teach thinking. As an information delivery system, AI can narrow the …

Next-Generation Biomedical Implants And Stimuli Responsive Soft Optical Arrays Via Surface Functionalized Elastomeric Materials, John M. Kapitan

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The demands of emerging technologies, such as soft robotics, stretchable electronics, and next generation biomedical implants, has led to the development of diverse polymeric and hybrid organic/inorganic materials specifically tuned to meet these challenges. These materials typically have low Young’s moduli and are inert with high chemical stability. However, this has led to materials that are static in nature, lacking any meaningful way of responding to changes in their environment and adapting to these changes. This has driven a shift towards the design, manufacturing, and characterization of various stimuli responsive surfaces, relying on precise control of surface chemical coatings and …

Ground-Arthropod Assemblage Response To Groundwater As A Metric Of Flooding In The Middle Rio Grande, Wesley J. Noe

Water Resources Professional Project Reports

Riparian zones are dynamic ecosystems, crucial for maintaining biodiversity and ecological balance, particularly in arid environments like the Middle Rio Grande (MRG). Ground arthropods, with their sensitivity to environmental changes, serve as bioindicators for assessing the impacts of water regime changes in the MRG, specifically flooding which was historically the main driver of the MRG ecosystem. This study investigated the responses of ground arthropod communities to fluctuations in groundwater and land management practices within MRG riparian habitats. Using a combination of pitfall trapping and habitat assessments, arthropod abundance was assessed in relation to depth to groundwater (DTG). Findings revealed shifts …

Analysis Of The Potential Impacts Of Brine And The Main Challenges Of The Water Importing Project From The Gulf Of California To Phoenix, Arizona (Arizona Water Project Solution), Alejandro Corral Hernandez

Water Resources Professional Project Reports

In December 2022, the Arizona Water Project Solution (AWPS) was presented to the Water Infrastructure Finance Authority of Arizona (WIFA). The project proposes to develop, construct, and operate a Seawater Reverse Osmosis (SWRO) plant in Puerto Peñasco, Sonora, Mexico, and transport potable water through a 200-mile pipeline to supply the city of Phoenix, Arizona, in the United States.

This study includes a cross-multiple-case analysis, incorporating expert data and information, to evaluate the brine impacts and challenges faced in developing the five operational SWRO plants in Israel and the Claude “Bud” Lewis Carlsbad plant in California, United States. By identifying patterns, …

Ground-Arthropod Assemblage Response To Groundwater As A Metric Of Flooding In The Middle Rio Grande, Wesley Noe

Water Resources Professional Project Reports

Riparian zones are dynamic ecosystems, crucial for maintaining biodiversity and ecological balance, particularly in arid environments like the Middle Rio Grande (MRG). Ground arthropods, with their sensitivity to environmental changes, serve as bioindicators for assessing the impacts of water regime changes in the MRG, specifically flooding which was historically the main driver of the MRG ecosystem. This study investigated the responses of ground arthropod communities to fluctuations in groundwater and land management practices within MRG riparian habitats. Using a combination of pitfall trapping and habitat assessments, arthropod abundance was assessed in relation to depth to groundwater (DTG). Findings revealed shifts …

Mashed Potato Gravy Boat And Cream Cheese Fish: Modifying A 3d Printer To Print With Unconventional Materials, Aahanaa Tibrewal

Mathematics, Statistics, and Computer Science Honors Projects

3D printing is growing beyond plastics into fields like food and construction, bringing rapid additive manufacturing to various industries and consumers. However, high costs and the need for specialized knowledge limit access for many. My project aimed to modify a low-cost 3D printer to print with paste-like materials using commonly available parts and simple processes. I tested the modification with clay, mashed potatoes, and cream cheese, and found that it successfully worked with all three. This modification has three key benefits: it allows users to print with unconventional materials, helps researchers create low-cost proof of concepts, and contributes to the …

Quadratic Stochastic Processes: Algebraic Structures And Their Applications, Taimun Saleh Qaisar

Dissertations

This research focuses on the algebraic structures of the Quadratic Stochastic Processes (𝑄𝑆𝑃𝑠). In this work, we first study 𝜉𝑎- Quadratic Stochastic Operators (𝑄𝑆𝑂𝑠) linked to the partition P3. We simultaneously discuss the dynamics of the obtained 𝑄𝑆𝑂𝑠. Moreover, algebraic structure of the associated genetic algebra is studied. Further, we build Quadratic Stochastic Processes (𝑄𝑆𝑃𝑠) using the given Markov processes. Consequently, we obtain an ordinary differential equation for the resultant Quadratic Stochastic Processes (𝑄𝑆𝑃𝑠). Besides, we apply the solution of this ordinary differential equation for the option pricing problem. Thereafter, we construct Quadratic Stochastic Processes (𝑄𝑆𝑃𝑠) in three-dimensional space by …

Context-Aware Representation: Jointly Learning Item Features And Selection From Triplets, Rodrigo Alves, Antoine Ledent

Research Collection School Of Computing and Information Systems

In areas of machine learning such as cognitive modeling or recommendation, user feedback is usually context-dependent. For instance, a website might provide a user with a set of recommendations and observe which (if any) of the links were clicked by the user. Similarly, there is growing interest in the so-called “odd-one-out” learning setting, where human participants are provided with a basket of items and asked which is the most dissimilar to the others. In both of those cases, the presence of all the items in the basket can influence the final decision. In this article, we consider a classification task …

Configx: Modular Configuration For Evolutionary Algorithms Via Multitask Reinforcement Learning, Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong

Research Collection School Of Computing and Information Systems

Recent advances in Meta-learning for Black-Box Optimization (MetaBBO) have shown the potential of using neural networks to dynamically configure evolutionary algorithms (EAs), enhancing their performance and adaptability across various BBO instances. However, they are often tailored to a specific EA, which limits their generalizability and necessitates retraining or redesigns for different EAs and optimization problems. To address this limitation, we introduce ConfigX, a new paradigm of the MetaBBO framework that is capable of learning a universal configuration agent (model) for boosting diverse EAs. To achieve so, our ConfigX first leverages a novel modularization system that enables the flexible combination of …

Reply To Bratchenko And Bratchenko, “Overestimation Of The Classification Model For Raman Spectroscopy Data Of Biological Samples”, Xin Ru Wen, Jia-Wei Tang, Liang Wang

Research outputs 2022 to 2026

No abstract provided.

Construction Of Stock Portfolios By Machine Learning Methods, Alfan Gehad Abulehia

Theses

We study the theory and application of two machine learning (ML) algorithms: Long-Short Term Memory Network (LSTM) and Random Forest. The study begins by providing an overview of mathematical foundation, highlighting the significance of mathematics in machine learning. We study and explain the mathematical details involved in these two algorithms. We also study closely related subjects which include but not limited to gradient descent, automatic differentiation, and recurrent neural network. The main ideas behind these topics form the foundation of any ML algorithms.

As an application of the ML algorithms, we focus on the U.S. stock market. We build stock …

Monitoring Sand Migration In Al Ain City Utilizing Remote Sensing Techniques, Sanad Salem Mohammad Fareaa

Theses

Sand migration significantly impacts urban development, infrastructure, and ecosystems in arid regions such as Al Ain city, United Arab Emirates (UAE). This study employs advanced remote sensing techniques to monitor and predict sand dune migration across the Sieh Al Hama dune field, a critical area west of Al Ain. The research objectives include quantifying dune migration rates over three years (2018–2020) using monthly Sentinel-2 satellite imagery, identifying distinct dune fields, and analyzing the textural and mineralogical properties of dune sediments to infer their provenance. Field sampling from four dunes (Large Sabra Dune, Dune 1, Dune 2, and Dune 3) was …

Black Mothering And Environmental Justice Activism: A Black Ecofeminist Framework, Kayla N. Miller , '25

Senior Theses, Projects, and Awards

No abstract provided.

Cryo-Em Captures The Coordination Of Asymmetric Electron Transfer Through A Di-Copper Site In Dpor, Rajnandani Kashyap, Natalie Walsh, Jaigeeth Deveryshetty, Monika Tokmina-Lukaszewska, Kewei Zhao, Yunqiao J. Gan, Brian M. Hoffman, Ritimukta Sarangi, Brian Bothner, Brian Bennett, Edwin Antony

Physics Faculty Research and Publications

Enzymes that catalyze long-range electron transfer (ET) reactions often function as higher order complexes that possess two structurally symmetrical halves. The functional advantages for such an architecture remain a mystery. Using cryoelectron microscopy we capture snapshots of the nitrogenase-like dark-operative protochlorophyllide oxidoreductase (DPOR) during substrate binding and turnover. DPOR catalyzes reduction of the C17 = C18 double bond in protochlorophyllide during the dark chlorophyll biosynthetic pathway. DPOR is composed of electron donor (L-protein) and acceptor (NB-protein) component proteins that transiently form a complex in the presence of ATP to facilitate ET. NB-protein is an α2β2 heterotetramer with two structurally identical …

Exploring Biostimulant Efficacy Under Limited Fertilizer And Water In Utah's Watermelon Production, Evan Christensen, Milena Maria Tomaz De Oliveira, Prakriti Nepal, Youping Sun

Plants, Soils, and Climate Faculty Publications

The western U.S. has recently experienced some of the driest conditions on record, and Utah has been in a multi-year drought (2019-2023) that affected the agricultural sector, including vegetable producers. While vegetables are not a primary agricultural crop in Utah, they are still an important part of the horticultural economy with 763 farms growing 6,138 acres. As the fourth largest acreage vegetable crop in Utah (almost 10% of the acreage) watermelon and related crops in the gourd family Cucurbitaceae (nearly 36% of total vegetable acreage) are important to vegetable growers. Watermelon is a water-intensive crop and requires an adequate supply …

Urban Base Cations: Fate, Transport, And Effect On Nitrogen Cycling Genes In Green Stormwater Infrastructure, Duyen Thuy Lam

Dissertations (1934 -)

Urbanization has significantly changed the natural cycling of base cations, primarily due to the use of deicer salts, such as sodium chloride, and chemical weathering of limestone and concrete infrastructure. An unintended consequence is the accumulation of salt across urban settings. These base cations, transported mainly by stormwater runoff, accumulate in soils, streams, lakes, and groundwater, posing risks to soil health, water quality, and ecosystems. To mitigate stormwater runoff and pollutants, cities have adopted stormwater best management practices, shifting from traditional gray to hybrid gray-green infrastructure. As a result, salt-laden runoff is increasingly routed into green stormwater infrastructure (GSI), where …

Zoophytophagous Predator Sex Pheromone And Visual Cues Of Opposing Reflectance Spectra Lure Predator And Invasive Prey, Bashiru Adams, Fathiya Mbarak Khamis, Abdullahi Ahmed Yusuf, Baldwyn Torto

All Peer-Reviewed Publications

Introduction: In sub-Saharan Africa, the invasive South American leafminer Phthorimaea absoluta is the most damaging tomato pest. Females of the pest can reproduce both sexually and through parthenogenesis and lay their eggs on all tomato plant parts. The mirid predator Nesidiocoris tenuis, a biological control agent for the pest, is also a tomato pest when prey population is low. To date, however, no study has developed an eco-friendly solution that targets both the predator and its host in a tomato farming system. Objective: To develop a bio-based management system for both pest and predator based on the combined use of …

Josephson Junctions: Fabrication And Applications For The Axion Dark Matter Experiment, Jonah M. Sachs

Senior Honors Papers / Undergraduate Theses

The observation of axions could revolutionize the world of physics. Through microwave frequency cavity readout of the photons associated with these axions, the ADMX project at WashU utilizes multiple different forms of the Josephson junction (JJ), a superconductive circuit element. The physics behind the JJ are essential to understanding its operation for resonant cavity readout in addition to parametric amplification. Parametric amplifiers produced using JJs can approach the signal-to-noise ratio set by quantum mechanics, and prove essential for the amplification chain used by the ADMX experiment for axionic detection. The limits of these amplifiers are set by the noise tuning …

Painting Rich Six-Dimensional Pictures Using Polarized Fluorescence Microscopy, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

No abstract provided.

Optimizing Transcription Efficiency Through Mutations In The T7 Rna Polymerase, Claire N. Novak

Honors Program: Senior Projects (Public)

The production of RNA is vital for many commercial and research purposes, with one of the more notable reasons being vaccine production. The RNA polymerase, derived from T7 bacteriophage, is commonly used for RNA production due to its ability to produce full-length RNA transcripts. However, researchers have faced limitations in optimizing this polymerase. For example, the polymerase generates heterogeneous RNA products that require additional purification steps during RNA production. Here, we selected three amino acid point substitutions based on a recent publication from Moderna that showed increased RNA purity compared to the wild type T7 RNA polymerase sequence. We created …

Liver Tet1 Promotes Metabolic Dysfunction-Associated Steatotic Liver Disease, Hongze Chen, Muhammad Azhar Nisar, Joud Mulla, Xinjian Li, Kevin Cao, Shaolei Lu, Katsuya Nagaoka, Shang Wu, Peng Sheng Ting, Tung Sung Tseng, Hui Yi Lin, Xiao Ming Yin, Wenke Feng, Zhijin Wu, Zhixiang Cheng, William Mueller, Amalia Bay, Layla Schechner, Xuewei Bai, Chiung Kuei Huang

School of Public Health Faculty Publications

Global hepatic DNA methylation change has been linked to human patients with metabolic dysfunction-associated steatotic liver disease (MASLD). DNA demethylation is regulated by the TET family proteins, whose enzymatic activities require 2-oxoglutarate (2-OG) and iron that both are elevated in human MASLD patients. We aimed to investigate liver TET1 in MASLD progression. Depleting TET1 using two different strategies substantially alleviated MASLD progression. Knockout (KO) of TET1 slightly improved diet induced obesity and glucose homeostasis. Intriguingly, hepatic cholesterols, triglycerides, and CD36 were significantly decreased upon TET1 depletion. Consistently, liver specific TET1 KO led to improvement of MASLD progression. Mechanistically, TET1 promoted …

Integrative Multi-Omics And Clinical Data Analysis For Predicting Recurrence And Survival In Uterine Cancer, Varun Sai Raigir

USF Tampa Graduate Theses and Dissertations

The prediction of uterine cancer recurrence is very important for assisting women in reducing the cancer risks and also for the growing field of personalized medicine. The primary aim of this thesis is to investigate the integration of various omics data alongside clinical and therapeutic information to predict survival in uterine cancer. The combination is very important for understanding the risk factors, including clinical aspects, genetics, and the treatment schedule, in order to prescribe the appropriate way to reduce the risk of recurrence, make clinical interactions easier, and enhance personalized patient care. This study utilizes the publicly accessible TCGA dataset, …