Physical Sciences and Mathematics Commons^™

Parameterizing Ion–Lipid Interactions From Local Clusters To Reproduce Experimental Bulk Properties Of Lipid Bilayers, W. Matthew Saunders

USF Tampa Graduate Theses and Dissertations

Phospholipids are the main component of cell membranes, providing a delimiting boundary for cells from their environments or from their organelles from the cytosol. Thiscompartmentalization allows cells to maintain quite different solutions within their cells and organelles, including different mixtures dissolved ions. Consequently, these membranes are constantly flanked by complex mixtures of salts at varied concentrations. To study membrane structure, one cannot neglect the contribution of the salts in the local solution. Ions perturb bilayer structure via specific interaction with the phospholipids, primarily with the headgroups. Experimental studies of these systems are somewhat at odds — scattering experiments with different …

Thermal Properties Of Novel Materials, Wilarachchige D.C. Bhagya Gunatilleke

USF Tampa Graduate Theses and Dissertations

Thermal properties play an important role in various aspects of applications of technology startingfrom the materials property determinations to device performance improvements and their safety and stability. Measurements of the thermal properties of such materials of interest pose challenges due to the demands of these measurements for determination of intrinsic materials properties. The research included in this dissertation involved both synthesis of novel materials and their measurement of thermal properties. Solid-state materials synthesis involves various synthesis and processing techniques, while specific technological applications demand synthesis of defect-free single crystals. Such synthesis techniques were explored for the research included in this …

Site Specific Reliability-Targeted Snow Loads And Winter Wind Parameters Across The World, Brennan Bean, Nicholas Brimhall, Bikram Bhusal, Marc Maguire, Maha Moussa

Mathematics and Statistics Faculty Publications

This report presents a framework for estimating Reliability Targeted Snow Loads (RTSLs) and Winter Wind Parameters (WWPs) at locations outside the Conterminous United States (OCONUS). The methodology integrates ground-based in-situmeasurements with gridded global climate products to generate spatially continuous RTSL estimates for nearly any location in OCONUS. RTSLs are computed at qualifying in-situ stations, and predictive models relating gridded climate products to in-situRTSLs enable estimation at locations lacking direct measurements. This report describes the development of the in-situ annual maximum snow load database, the construction of global gridded climate summaries, the estimation of site-specific RTSLs and Service Targeted …

Studies Of Seismicity In The Alaska Subduction Zone And Antarctica, Patrick Matulka

Arts & Sciences Graduate Student Theses and Dissertations

This dissertation utilizes multiple methods of earthquake detection, relocation, and characterization to investigate the patterns of seismicity along the Alaska subduction zone and Antarctica. The studies of the Alaska subduction zone are built on the data collected during the Alaska Amphibious Community Seismic Experiment (AACSE) that deployed temporary land and ocean-bottom seismometers along the Alaska Peninsula and offshore regions from May 2018 to September 2019. Using seismic arrivals at those stations, as well as a combination of other land-based networks, I relocated 1307 earthquakes in the incoming plate and trench slope regions of the Alaska subduction zone with an absolute …

Geographic Patterns Of Educational Achievement: A Methodological Case Study Of Regression Modeling Approaches, Leokadia Lipien

USF Tampa Graduate Theses and Dissertations

This methodological case study introduces a novel approach to investigate the impact of student, teacher, and geographic factors on the academic achievement of virtual school students in Florida. Traditional linear regression models, and even multilevel models, often overlook spatial dependencies, which can lead to biased estimates and incomplete inferences. This research addresses this limitation by comparing a cross-classified multilevel model (CCMM) with a novel cross-classified spatial model (CCSM) that incorporates coefficients from geographically weighted regression (GWR). Utilizing secondary data from a statewide virtual school, including student demographics, teacher characteristics, and standardized test scores, along with U.S. Census Bureau data, the …

Survival Analysis Of Breast Cancer Patients In Texas Using Classical And Machine Learning Methods, Sidketa Fofana, Tamer Oraby, Salique H. Shaham, Everardo Cobos, Manish K. Tripathi

School of Medicine Publications

Background

Breast cancer is considered one of the most common cancers in women worldwide. In this study, we used an 11-year cohort of malignant breast cancer survival data in Texas to investigate the factors that might explain why some breast cancer patients live longer than others.

Methods

We performed standard survival analyses, including generating Kaplan‒Meier survival curves, using the log-rank test, and applying Cox proportional hazards regression to identify the unique features of breast cancer patients and determine the main factors influencing long-term survival. We also conducted a Random Survival Forest analysis for classification and prediction. Finally, we used Mahalanobis …

The Simulation Of Hyperspectral Observations By The Upcoming Spacecraft “Arab Satellite 813”, With The Radiative Transfer Model Sciatran, Sara Maher Alhasan

Thesis/ Dissertation Defenses

The space mission “813 Satellite” has been awarded by the UAE Space Agency to the National Space Science and Technology Center (NSSTC) in the UAEU as prime contractor. The 813 satellite is an Arab satellite scheduled for launch in the year 2025. The spacecraft is designed to monitor Earth and climate change dynamics specifically over the MENA (Middle East and North Africa) region. The outcomes of the 813 Satellite are anticipated to support evidence-based decision-making processes and facilitate the implementation of sustainable environmental management strategies in the MENA region. Consistent with that, the proposed MSc project seeks to contribute to …

Conditions Of Coherent-Phonon Excitation In Srmnsb2 Films And Crystals, Manita Rai, Sujan Subedi, Hannah E. Aguirre, Hans A. Bechtel, Renee Chapla, Javier Garcia De Castro, Dennis D. Klug, Jinyu Liu, Madison G. Masten, Trung Hieu Nguyen, Thomas J. Rehaag, Yiyi Wang, Zhiqiang Mao, Gavin R. Bell, Darius H. Torchinsky, Christopher Weber

Physics

Excitation of coherent phonons has the potential to dramatically alter the electronic structure of Dirac and Weyl semimetals, enabling sub-picosecond control of their optical and electronic properties. The Dirac semimetal SrMnSb is a candidate for such control, with a coherent-phonon mode that is predicted to close and reopen a gap at the Dirac node. Here, through a series of ultrafast pump-probe experiments, we establish suitable samples and conditions for driving the coherent phonon to high amplitude and attempting to observe the gap’s closure. Films of SrMnSb grown by molecular-beam epitaxy are shown to have phononic properties matching those of bulk …

Energy Input-Output Meta-Analysis Reveals Algal Diesel Struggles To Break Even (Supplemental Information), Michelle Arnold

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1. Algal biofuels have been investigated as an alternative to traditional fossil fuels for transportation in the United States since the 1970s. Yet after five decades of development, scalability and implementation remain limited. To evaluate the state of progress, this study harmonized energy inputs and outputs across 39 papers, encompassing 508 observations on the production of algal biofuel energy return on energy investment (EROEI) in the United States. The analysis produced a mean EROEI of 1.01—essentially the break-even point—irrespective of system boundaries. This is lower than bioethanol (2.8) and far below oil (8.7). Life-cycle analysis results showed that hydrothermal liquefaction in …

Increasing Complexity Leads To Declining Productivity Of Innovation In The Algal Biofuel Industry (Supplemental Information), Michelle Arnold

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Liquid biofuels are widely promoted as renewable, lower-emission alternatives to fossil fuels. Yet despite their promise, this sector faces a critical constraint: a long-term decline in the productivity of innovation. This decline—measured by a decreasing number of patents per inventor—suggests that generating technological breakthroughs is becoming more difficult, expensive, and uncertain. As innovation becomes more resource-intensive, the feasibility of replacing petroleum with liquid biofuels grows more tenuous. This is especially problematic given the pre-existing technical disadvantages of biofuels, including their relatively low energy return on energy investment (EROEI) and energy density compared to fossil fuels. Our findings show that the …

Engaging With Ai In A Technical Writing Course: A Collaboration Between A Writing Instructor And A Librarian, Isabel Baca, Joy Urbina

HIIT 2025

After describing our collaboration (a Technical Writing Instructor and a Librarian) on teaching students how to use artificial intelligence (AI) to strengthen their writing, we will engage attendees by having them reflect and practice with AI. For our workshop presentation, attendees will:

• Learn how a librarian and a writing instructor collaborated to teach students to use AI effectively and ethically in their writing.
• Reflect on how they can incorporate AI in their classroom or workplace.
• Learn how a librarian can help them incorporate AI into their courses.
• Practice using AI and developing their prompt engineering skills.

Our workshop presentation will …

Computational Data Analysis, Kathryn S. Biles

LSU Master's Theses

Data science has emerged as a cornerstone of innovation, shaping an ever-expanding range

of professional careers. As technology advances and the volume of data expands expo-

nentially, the ability to extract meaningful insights from data has become indispensable

across industries. Far from representing a single career path, data science enables profes-

sionals in nearly every domain to make informed decisions, optimize systems, and drive

innovation. Yet, many high school students and incoming college freshmen have limited

exposure to data science fundamentals or the career opportunities they unlock. This is

the gap that Computational Data Analysis, a high school-level curriculum I …

Data Accompanying "Landscape Composition Surrounding Restoration Projects Modulates Use By Wildlife: A Case Study Of Mule Deer In Utah", Jaylin Solberg

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With mule deer (Odocoileus hemionus), hereafter, deer, populations in decline, wildlife managers have increased their efforts to improve factors that limit population growth. In the State of Utah (hereafter, Utah), these efforts have included habitat restoration which is expected to improve environmental conditions for deer. Some of these efforts include pinon-juniper removal, prescribed burning, and spraying of invasive plant species. Although previous work has demonstrated the local impacts of restoration on deer populations, it is unknown how the environmental conditions in the landscape surrounding restoration treatments may modify local restoration impacts. Identifying how both local and landscape-scale conditions influence deer …

Circulating Levels Of Insulin-Like Growth Factor I (Igf-I) And Risk Ofmultiple Myeloma: An Observational And Mendelian Randomisation Study, Yolanda Benavente, Sara Hermosa, Nikos Papadimitriou, Alyssa I. Clay-Gilmour Ph.D., Elizabeth E. Brown, Jonathan N. Hofmann, Nathaniel Rothman, Qing Lan, Sonja I. Berndt, Demetrius Albanes, Mark Purdue, Mitchell J. Machiela, Stephen J. Chanock, Parveen Bhatti, Wendy Cozen, Aaron Norman, Susan L. Slager, James R. Cerhan, Vincent Rajkumar, Shaji J. Kumar, Et. Al.

Faculty Publications

Evidence for an association between insulin-like growth factors (IGF) and multiple myeloma (MM) is inconsistent. We examined total IGF-I concentrations and risk of MM by combining baseline serological data among UK Biobank participants (n = 444 187; 732 incident MM) with a two-sample Mendelian randomisation (MR) analysis using identified genetic variants associated with circulating total IGF-I and IGF-binding protein 3 (IGFBP-3) in the InterLymph consortium (2434 MM and their 2567 controls). Finally, additional lymphoid neoplasm (LN) subtypes were included for comparison with the main hypothesis. Circulating IGF-I level was positively associated with MM risk Hazard ratio-HR-per one standard deviation-SD-increase …

The State Of Our Streams: A Land Trust's Approach To Monitoring The Health Of Three Headwater Streams, Lauren Mcgrath

Sustainability Research & Practice Seminar Presentations

Lauren McGrath, Director of Watershed Protection Program, Willistown Conservation Trust, presents "The State of Our Streams: a land trust's approach to monitoring the health of three headwater streams."

Elucidating The Effects Of Water Activity On The Hydration Kinetics And Thermodynamics Of Ye’Elimite–Calcium Sulfate Hydrate Systems, Godwin I. Ogbuehi, Rupack R. Halder, Aditya Kumar, Gaurav Sant, Monday U. Okoronkwo

Materials Science and Engineering Faculty Research & Creative Works

Relative humidity and water activity (aH) reductions have been known to suppress the hydration of anhydrous cement clinker phases. However, the relationship between ye'elimite (C4A3$) hydration kinetics and water activity remain unclear. This study employs experimental and thermodynamic modeling approaches to investigate the influence of water activity on ye'elimite hydration in the "C4A3$ + water", and "C4A3$ + gypsum + water" systems. Experimental findings indicate that as water activity decreases, C4A3$ hydration diminishes until the reaction is brought to a halt at a threshold aH. The critical aHand corresponding solubility constant of C4A3$ (KC4A3S¯) estimated from thermodynamic analysis are 0.46 …

Meet Your New Math 155: A Focus On Assessment, Gabriel Tapia

Excellence in Education: Teaching Faculty Symposium

No abstract provided.

A Generalized Lehmer Conjecture For The Trace Of T ₃, Liubomir Chiriac, Erin Williams

Mathematics and Statistics Faculty Publications and Presentations

The expectation that Ramanujan’s tau function does not vanish, commonly known as Lehmer’s Conjecture, has inspired several extensions to broader settings. In this paper, we focus on one such direction, proposed by Rouse, concerning the non-vanishing of traces of Hecke operators Tn. We refine an algorithm originally introduced by Rouse to resolve the case n = 2, and, together with tools from our earlier work on the case n = 3 in level one, we settle the conjecture for T₃ in full generality. We also discuss an implication of our result for the non-vanishing of all coefficients of the …

Instructional Modality Matters: Predicting General Chemistry Ii Success From Online And In-Person General Chemistry I Experiences, Dave Mersing, Oluwatobi O. Odeleye

Excellence in Education: Teaching Faculty Symposium

We explore here whether the instructional modality of the first-semester General Chemistry I (GC1) course influences student learning outcomes in the subsequent General Chemistry II (GC2) course. This question has become increasingly important as institutions expand online and hybrid offerings for foundational science courses.

Bipolar-Valued Fuzzy Subgroups, Normal Subgroups, And Homomorphisms On Dib’S Fuzzy Space, Fadi Al-Zu’Bi, Abd Ghafur Ahmad, Abd Ulazeez Alkouri, Maslina Darus, Sadeq Damrah

All Works

Fuzzy group theory has evolved beyond single-valued memberships to account for dual polarity and uncertainty. Building on Dib’s fuzzy space and bipolar-valued fuzzy sets, we develop a unified algebraic theory of bipolar-valued fuzzy (BVF) subgroups, including BVF normal subgroups and BVF homomorphisms, via a BVF binary operation (BVFBO) on a BVF-space. We establish necessary and sufficient subgroup criteria, characterize normality through coset symmetry in BVF-space, and prove homomorphism properties that align BVF structures with their classical counterparts through correspondence theorems. The framework clarifies when associativity holds between subgroup elements and ambient BVF-group elements and provides constructive examples. This generalization resolves …

Assessing Soil Quality Indicators In Agricultural Fields Of Western Kentucky, Kassidi D. Metcalf, Elizabeth J. Hiter, Sean J. Walters, Anna C. Griggs

Scholars Week

Assessing Soil Quality Indicators in Agricultural Fields of Western Kentucky

Kassidi Metcalf, Elizabeth Hiter, Sean Walters, & Anna Claire Griggs

Mentor Dr. I.P. Handayani

Hutson School of Agriculture, Murray State University, Murray, KY, USA

Abstract

Improving soil quality in Western Kentucky has been highlighted as a way to help mitigate the effects of modern agricultural practices and climatic effects. The objective of this study was to determine the effects of different cropping and management practices on soil quality indicators for sustainability. The indicators of soil quality focused on in this experiment were soil water holding capacity (SWHC), soil water content …

Shaping The Soil: A Comparison Of Equine, Bovine, And Ungrazed Hay Fields, Brody Ellis Higgs, Taylor Madison Wynn, Scottie Craig Berry

Scholars Week

Shaping the Soil: A Comparison of Equine, Bovine, and Ungrazed Hay Fields

Brody Higgs, Taylor Wynn, and Scottie Berry

Mentor: Dr. Iin. P. Handayani, PhD.

Hutson School of Agriculture, Murray State University, Murray, Kentucky, USA

ABSTRACT

Kentucky raises grazing species for multiple reasons, including food, recreation, and show. The most common of them are equine and bovine. These animals graze many acres across the state of Kentucky and impact soil properties in their pastures. This study was conducted on three pasturelands across Caldwell and Calloway counties in Kentucky. The pastures consisted of a cow pasture, a horse pasture, and a …

A Remote Sensing Assessment Of Illegal Gold Mining And Its Impact On Forests In Amansie West District, Ghana, Mina Poku Agyemang

Scholars Week

Forest degradation, driven primarily by human activities such as agriculture, urbanization, and mining, leads to biodiversity loss, soil erosion, and increased greenhouse gas emissions. In Ghana, illegal mining, known as ‘galamsey,’ poses significant threats to land and forest resources, damaging ecosystems and affecting public health (Aboka et al., 2018). Despite mining's contribution to Ghana's GDP, the negative impacts of illegal mining may outweigh its economic benefits. Between 2018 and 2023, Ghana lost approximately 5.9% of its forest cover while mining areas expanded by 1,917.6% (Abugre et al., 2025). This alarming situation necessitates an investigation into the changes in land use …

Uas Vs. In-Situ Measurement Techniques For Stream Substrates, Nathan Watson

Scholars Week

UAS vs. In-situ Measurement Techniques for Stream Substrates

Key words: Geomorphic, Fluvial, ArcGIS Pro, UAS

Traditionally, geomorphic assessments of streams and fluvial structures have been conducted using in-situ field techniques. These techniques include taking Wolman (D50) pebble counts to characterize substrate, measurements of stream dimensions with tape, meter sticks, and Jacob staff. We studied the efficacy of using an uncrewed aerial system (UAS) to measure the substrate composition of a section of stream along the east fork of the Clarks River in Calloway County, Kentucky. The section consists of a 30-meter riffle-pool-run sequence, with variation in substrate size to test …

A Hybrid Data Assimilation Approach For Parameter Estimation In Dynamical Systems, Xuejian Li

Math Department Colloquium Series

In this talk, we present a hybrid data assimilation (DA) method that integrates continuous data assimilation (CDA) with particle filtering to estimate parameters in dynamical systems. Parameter estimation in such systems is particularly challenging because it involves both determining the parameters and estimating the often high-dimensional physical state. To address this difficulty, we decouple the estimation of states and parameters by employing CDA for state estimation and particle filtering for parameter estimation, with information exchanged alternately between the two. This hybrid framework leverages the strengths of CDA in handling high-dimensional state estimation and the efficiency of particle filters in estimating …

Importance Of S-Doped Porous Carbon Acidity And Visible Light Photoactivity For Its Antibacterial Activity, Danela Sadikaj, Abanob Fekri, Isabelle Bautista, Nafisatu Davis, Tasnim Agha Alkla, Muhammad Moueed Haider Mirza, Jiaying Wang, Phillip Stallworth, Natalie Hudson-Smith, Teresa J. Bandosz, Xiaojun Yu, Steven Greenbaum, Wanlu Li

Department of Chemistry and Biochemistry Faculty Scholarship and Creative Works

Bactericidal activity of sulfur-doped carbon has been investigated against a common Gram-negative bacterium, Escherichia coli K-12 (E. coli), in aqueous solution. Under dark conditions, 1 h contact of carbon with bacteria resulted in a 3–4 log decrease from the initial concentration of 7 log. When exposed to visible light, a 6–7 log decrease in E. coli was observed. The bactericidal activity under dark conditions was linked to the effects of functional groups, particularly sulfonic groups, which released protons that contributed to bacterial death. Even though under visible light no reactive oxygen species (ROS) were detected in electron paramagnetic …

Witnessing A Wounded World: A Theology Of Ecological Trauma, Timothy A. Middleton

Theology

A crucial intervention at the intersection of ecotheology and trauma theology

We are in the midst of a global ecological crisis. At times, the scale of the suffering involved can be hard to fully comprehend. The whole planetary ecosystem feels out of kilter. Meanwhile, trauma theorists, and society at large, have become increasingly aware of the incidence of trauma in a growing variety of contexts. In Witnessing a Wounded World, Timothy Middleton asks what might be gained by viewing ecological suffering through the lens of trauma.

By bringing concepts and methodologies from trauma theology to bear on questions that …

Exploiting Chloride Conservative Tendencies As Contaminant Surrogates In Groundwater Transport Modeling In A Typical Hydrogeological Environment Of Northern New Jersey, Toritseju Oyen, Duke Ophori

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

This study investigates the transport of chloride, a conservative tracer and surrogate for contaminants, in the fractured Brunswick aquifer of northern New Jersey using a dual-porosity MODFLOW-MT3DMS model. Focusing on the First Watchung Mountain region—a microcosm of northern New Jersey’s hydrogeological environment encompassing Montclair State University and adjoining communities, the numerical model simulates groundwater flow and solute transport in a hydrogeologically complex, urbanized setting. Results indicate that chloride migrates through the fractured aquifer via both local flow systems (e.g., Third River) and regional flow systems (Passaic River) within decades. Chloride concentrations exceeded the EPA’s 250 mg/L threshold much faster in …

Preparing Tomorrow’S Professionals: Industry-Informed Ai Integration, Brent A. Terwilliger Ph.D, John Faraca

Publications

As AI reshapes operations across aviation and aerospace, organizations are investing in ways to preserve data integrity, safeguard proprietary knowledge, and uphold critical professional competencies. This presentation shares emerging findings from a study that surveys and interviews industry professionals about their use of AI tools, their concerns about misuse, and the importance of secure, enterprise-controlled “walled garden” environments. The work explores how employers define appropriate, effective, and innovative AI adoption, particularly in roles requiring high-stakes decision-making, compliance, and technical acumen.

By analyzing organizational expectations around AI-related knowledge, skills, and abilities (KSAs), this research offers practical guidance for academic programs seeking …

Student Perspectives On Ai-Enabled Tools For Adaptive Learning, John Faraca

Publications

Artificial Intelligence (AI) is increasingly influencing the delivery of higher education, especially in aviation technical disciplines. From AI-assisted gimbals and video production tools to generative AI platforms, these technologies are helping learners to engage with course material, accomplish objectives, and connect academic concepts with professional applications. By offering pathways for personalization, streamlining resource access, and supporting interactive instruction, AI tools expand opportunities for effective learning. This work builds on a current collaborative research project with a faculty researcher to explore the student perspective in the active review and application of these tools to highlight their potential to improve usability, address …