Physical Sciences and Mathematics Commons^™

Ai 101: What It Can (And Can't) Do For You, April Sheppard

Staff and Faculty Scholarship

In this presentation, April defines AI, describes how it works, reviews some pros and cons, and finally discusses what AI can actually accomplish in its current iteration.

Mechanism Of Napthenic Acid Binding To Dissolved Organic Matter, Clarissa Jules

Theses and Dissertations

The oil sands in Alberta, Canada are being destroyed by oil extraction because remediation methods have proven largely ineffective. One toxic byproduct of oil extraction is a family of cyclical surfactant organic acids known as naphthenic acids (NAs). They are toxic to aquatic life, including fish, frogs, and aquatic birds. It is suspected that NAs bind to humic acid, a major organic component of soil, in dissolved organic matter in natural water, making them difficult to remove by conventional remediation methods. This problem prompts the following question: what is the binding mechanism between NAs and humic acid when dissolved in …

Protein-Metal Interactions Of A-Synuclein And Bioactive Transition Metals Via Molecular Dynamics, Gonzalo R. Vazquez

Theses and Dissertations

Parkinson’s Disease (PD) is a neurodegenerative movement disorder which has been found to target the dopaminergic neurons of the substantia nigra. It is characterized by the formation of masses known as Lewy Bodies, formed by aggregates of the intrinsically disordered protein (IDP) -synuclein (asyn). Research suggests that alpha synuclein can undergo aggregation in the presence of heavy metals, which may accumulate in the body through a variety of mechanisms. To study how metals may play a role in wildtype (WT) asyn aggregation, MD simulation of the protein was performed in the presence of bioactive transition metals including Fe2+, Fe3+, Cu+, …

Electrochemical And Conformational Patterns Of S-Glycosides And The Synthesis Of Schistosoma Mansoni Antigens, Bhavesh Rajendra Deore

Theses and Dissertations

This thesis dives into two relevant fields in carbohydrate science: reactivity and conformation. We centered our attention on S-glycosides, a common class of glycosyl donors and glycomimetics, to study the influence exerted by the structural architecture over the conformational properties about flexible bonds and the reactivity towards electrochemical activation. Studying the conformational properties of sugars is key to understanding the molecular recognition mechanisms underlying their biological functions. Moreover, a well understanding of how the molecular components affect free rotation about bonds can be valuable information to design improved glycomimetic drug candidates. On the other hand, electrosynthesis is a promising application …

Woody Plant Reinvasion Shortens The Lifespan Of Grassland Restoration Treatments, D. T. Fogarty, M. Beadle, C. R. Allen, C. Bielski, D. Twidwell

School of Natural Resources: Faculty Publications

No abstract provided.

Computing In The Commonwealth: Specialized Education In Computer Science And Information Technology For High School Students In Virginia – An Environmental Scan, Amy Corning, Jonathan D. Becker, Jon Graham, James Carrigan, Keisha Tennessee

ICRE Publications

Over the past two decades, Virginia has invested substantially in STEM education, in part through specialized programs focused on computer science and information technology (CS/IT). This study represents the first effort to identify Virginia’s specialized secondary CS/IT programs and examine them collectively. Findings from the statewide environmental scan indicate that the programs are delivered through a wide variety of institutional structures, including Governor’s STEM Academies, Governor’s Schools, specialty centers, and academies, but most often through Career and Technical Education (CTE) centers. Programs tend to be concentrated in metropolitan areas, and some rural divisions may not be served. The programs provide …

Heat Stress Induced By Irrigation Over The Us Great Plains And Related Uncertainties, L. Chen, I. C. Achugbu, Rezaul Mamood, K. Kintziger, J. Bell, G. Meredith

School of Natural Resources: Faculty Publications

No abstract provided.

Multi-Valued Variational Inequalities For Variable Exponent Double Phase Problems: Comparison And Extremality Results, Siegfried Carl, Vy Khoi Le, Patrick Winkert

Mathematics and Statistics Faculty Research & Creative Works

We prove existence and comparison results for multi-valued variational inequalities in a bounded domain Ω of the form (Formula presented.) where A:W1,H(Ω)→W1,H(Ω)∗ given by (Formula presented.) for u∈W1,H(Ω), is the double phase operator with variable exponents and W1,H(Ω) is the associated Musielak–Orlicz Sobolev space. First, an existence result is proved under some weak coercivity condition. Our main focus aims at the treatment of the problem under consideration when coercivity fails. To this end we establish the method of sub–super-solution for the multi-valued variational inequality in the space W1, H(Ω) based on appropriately defined sub- and super-solutions, which yields the existence …

Proximal Remote Sensing: An Essential Tool For Bridging The Gap Between High Resolution Ecosystem Monitoring And Global Ecology, Z. Pierrat, T. Magney, W. Richardson, B. Runkle, J. Diehl, X. Yang, J Gamon Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.

Chalkboards To Chatbots: Helping Faculty Harness Ai For The Future Of Higher Education, Justin C. Grace

Regis University Student Publications (comprehensive collection)

Integrating artificial intelligence (AI) into nursing education presented significant opportunities yet posed challenges due to varied faculty readiness. This Doctor of Nursing Practice (DNP) quality improvement (QI) project evaluated an educational intervention aimed at enhancing nursing faculty's AI proficiency and confidence at Regis University’s Rueckert-Hartman College for Health Professions. Using a mixed-methods, pre- and post-intervention design, validated surveys assessed changes in faculty perceptions, knowledge, and skills related to AI. The intervention included a digital toolkit with nine instructional videos demonstrating practical AI applications using FreedAI’s large language model, ChatGPT, supported by voiceover narration and closed captioning. Data analysis involved descriptive …

Galoistheory And The Arithmetic-Geometric Series, Daniel Vargas

HMC Senior Theses

Motivated by classical works of Gauss and Euler on the AGM, Ono and his

collaborators Griffin et al. (2023); McSpirit and Ono (2023) have investigated

the union of AGM sequences over finite fields 𝔽𝑞, where 𝑞 ≡3 mod 4. A

recent preprint Kayath et al. (2024) extends some of their results to all finite

fields with odd characteristic. We refine these works when 𝑞≡5 mod 8. In

particular, we explicitly determine the components of these graphs and their

total population. We also use Galois-theoretic results to make progress in

the search for cycles over finite fields with odd characteristic.

Synthesis And Characterization Of Novel Coumarin Derivatives, Jeanmeil M. Nestor

Theses and Dissertations

An optimized approach toward the synthesis of representative coumarin derivatives is described. In addition to standard heat application methods, microwave-assisted coupling has proven beneficial in generating the targeted molecular hybrids which will serve as key templates in the development of new drugs to address resistance and specificity challenges. The coumarin moiety is a fantastic scaffold for molecular hybridization and has gained much warranted attention due to its efficacy in anticancer, antibacterial, and antitumor activity. In this research, novel molecular hybrids of umbelliferone were synthesized and fully characterized as new potential players in the anticancer, antitumor and antibiotic race, as well …

Adsorption And Recovery Studies Of Cadmium And Lead Ions Using Biowaste Adsorbents From Aqueous Solutions, Liang Feng

Theses and Dissertations

The use of low-cost biowaste adsorbents for the removal of toxic metal ions from aqueous solutions offers significant environmental benefits and demonstrates strong potential. This study evaluated luffa peels and chamomile flowers as low-cost biosorbents for the adsorption and recovery of Cd2+ and Pb2+ ions in both batch and column modes. To enhance adsorption capacity, the biosorbents were treated with 0.4 M HNO3 or 0.4 M NaOH. Fourier transform infrared spectroscopy (FTIR) characterization showed that surface OH, C=O, CO and COO groups played a role in the adsorption process. Batch adsorption studies indicated an order of adsorption capacity as follows: …

Analysis And Authentication Of An Optical Method For Early Detection Of Harmful Algal Blooms, Cody Schumacher

Theses, Dissertations and Capstones

The proliferation and frequency of harmful algal blooms (HABs) attributed to eutrophication, storm events and a changing climate have been an increasing concern in both lotic and lentic freshwater ecosystems. Methods of detecting HABs have been explored through fluorescent measurement and sample analysis, but are often expensive and time-consuming. A novel smart device application is in development to detect HABs based on images captured and analyzed by machine learning algorithms trained to distinguish potential cyanobacterial blooms. The HABs App model accurately detected cyanobacteria in strong relationship with biovolume concentrations (R² = 0.996) within the Greenup Pool of the Ohio …

Existence Results For A Discrete Fractional Boundary Value Problem, David Barilla, Martin Bohner, Giuseppe Caristi, Shapour Heidarkhani, Shahin Moradi

Mathematics and Statistics Faculty Research & Creative Works

In this study, we investigate the existence of at least one solution and the existence of an infinite number of solutions for a discrete fractional boundary value problem. Requiring an algebraic condition on the nonlinear term for small values of the parameter and requiring an additional asymptotical behavior of the potential at zero, we investigate the existence of at least one nontrivial solution for the problem. Moreover, under suitable assumptions on the oscillatory behavior of the nonlinearity at infinity, for exact collections of the parameter, we discuss the existence of a sequence of solutions for the problem. We also present …

The Unique Features Of Typhoon Rai (2021): An Observational Study, Clint Eldrick R. Petilla, Lyndon Mark P. Olaguera, Faye Abigail T. Cruz, Jose Ramon T. Villarin, Hironori Fudeyasu, Ryuji Yoshida, Jun Matsumoto

Physics Faculty Publications

Tropical Cyclone (TC) RAI (2021) made a devastating landfall in the Siargao-Dinagat Islands of the southeastern Philippines on December 16, 2021, causing about USD 942 M in damage, 405 reported deaths and 52 missing. Yet, observational studies on the environmental conditions during TC RAI remain limited, and a comparison with other landfalling TCs were not done. To shed light on the factors that made this TC reach a maximum sustained wind speed (MSW) of 105 kts (194.5 kph) and 915 hPa mean sea level pressure according to the WMO-IBTrACS, this study investigated the meteorological statistics of this TC relative to …

The Effect Of Two Common Herbicides On The Growth And Development Of Two Anuran Species (Boreorana Sylvatica And Dryophytes Chrysoscelis), Jerica Eaton

Masters Theses & Specialist Projects

Amphibian populations have been declining globally since the 1950s. Many species that have experienced declines are viewed as 'environmental indicators' that reveal habitat degradation. Declines can be attributed to several factors, including chemicals used in agriculture, such as Roundup and Atrazine. Agrochemicals contaminate water bodies through runoff or leaching and cause alterations to aquatic ecosystems. This study evaluated the effects of herbicide usage on two wild anuran populations using wood frogs (Boreorana sylvatica) and Cope’s gray tree frogs (Dryophytes chrysoscelis) as a model. We determined the effect of the herbicides at two concentrations, a high concentration …

Annual Variation In Attribute Importance To Upland Game Hunter Satisfaction In Nebraska, M. P. Gruntarod, J. J. Lusk, C. J. Chizinski

School of Natural Resources: Faculty Publications

No abstract provided.

The Impacts Of Artificial Intelligence In Radiology, Misty Farmer, Wendy Trzyna

Theses, Dissertations and Capstones

Introduction: There has been significant growth in the use of Artificial Intelligence (AI) in the healthcare industry, especially in Medical Imaging. Radiology has been the clear frontrunner in the adoption of AI in medicine, due in part to the massive amount of digital data available for use in Deep Learning (DL) AI integration has the potential to solve multiple challenges in radiology, address workload issues and transform the field.

Purpose of the Study: The purpose of the research was to evaluate the impact of implementing Artificial Intelligence in radiology to determine if these technologies have had an impact …

Carbon Capture Deployment In U.S. Upstream Oil Fields: Engineering Feasibility And National Impact, Rebecca Gaisie

Student Research Submissions

The upstream oil and gas sector is a major contributor to greenhouse gas emissions in the United States, particularly from extraction and initial processing activities. As the country accelerates its climate action under the Inflation Reduction Act and Net-Zero 2050 targets, carbon capture and storage (CCS) is increasingly viewed as a critical pathway for emissions mitigation in fossil fuel operations. This study investigates the technical and economic feasibility of deploying CCS technologies in U.S. upstream oil fields, using case studies from ExxonMobil-operated sites in Wyoming and Texas. A techno-economic analysis is conducted to evaluate carbon capture potential, energy requirements, infrastructure …

A Survey-Based Quantitative Analysis Of Stress Factors And Their Impacts Among Cybersecurity Professionals, Sunil Arora, John D. Hastings

Research & Publications

This study investigates the prevalence and underlying causes of work-related stress and burnout among cybersecurity professionals using a quantitative survey approach guided by the Job Demands-Resources model. Analysis of responses from 50 cybersecurity practitioners reveals an alarming reality: 44% report experiencing severe work-related stress and burnout, while an additional 28% are uncertain about their condition. The demanding nature of cybersecurity roles, unrealistic expectations, and unsupportive organizational cultures emerge as primary factors fueling this crisis. Notably, 66% of respondents perceive cybersecurity jobs as more stressful than other IT positions, with 84% facing additional challenges due to the pandemic and recent high-profile …

On The Gumbel-Weibull{Cauchy} Distribution, Jennifer D. Pippin

Theses, Dissertations and Capstones

Developing new statistical distributions and seeking higher flexibility in modeling different shapes of data remain a strong emphasis in research. The T-R{Y } framework, introduced in [3], utilizes three statistical distributions in order to generate a new distribution. Many research papers appeared in literature to develop distributions based on the T-R{Y } framework. In this thesis, a member of the T-R{Y } framework, namely the Gumbel-Weibull{Cauchy} (GWC), is introduced. Statistical properties of the GWC are studied, such as the quantile function, the hazard function, transformations, Shannon entropy, the …

Devising Optimized Maize Nitrogen Stress Indices In Complex Field Conditions From Uav Hyperspectral Imagery, Jiating Li, Yufeng Ge, Laila A. Puntel, Derek M. Heeren, Geng Bai, Guillermo R. Balboa, John A. Gamon, Timothy J. Arkebauer, Yeyin Shi

School of Natural Resources: Faculty Publications

Nitrogen Sufficiency Index (NSI) is an important nitrogen (N) stress indicator for precision N management. It is usually calculated using variables such as leaf chlorophyll meter readings (SPAD) and vegetation indices (VIs). However, no consensus has been reached on the most preferred variable. Additionally, conventional NSI (NSI_uni) calculation assumes N being the sole yield-limiting factor, neglecting other factors such as soil water variability. To tackle these issues, this study compared various variables for NSI calculation and evaluated two new N stress indicators in minimizing the impact of confounding water treatment. The following ground- and aerial-derived variables were compared …

2024 San Diego Regional Climate Collaborative Annual Report, San Diego Regional Climate Collaborative

San Diego Regional Climate Collaborative

The San Diego Regional Climate Collaborative is a network for public agencies that serves the San Diego region to share expertise, leverage resources and advance comprehensive solutions to facilitate climate change planning. By partnering with academia, nonprofits, and businesses, the SDRCC also works to leverage the profile of regional leadership. This is the 2024 San Diego Regional Climate Collaborative Annual Report.

Influence Of Biochar On Rooting And Establishment Of Chamaecyparis And Thuga Species, Megan Mudd

Masters Theses & Specialist Projects

This study investigated the effects of biochar amendment on the rooting and establishment of evergreen propagules, thus addressing the critical need for improved nutrient use efficiency and water retention in containerized substrates within the horticulture and floriculture industry. Biochar, a product of biomass pyrolysis, offers promising potential due to its high porosity and surface area, which contribute to enhanced soil fertility and water retention. Two experiments were conducted, one in a greenhouse and the other in a cold frame, using cuttings from Chamaecyparis obtusa, Chamaecyparis pisifera ‘Vintage Gold’, and Thuja occidentalis ‘Emerald Green’. Treatments included varying percentages of biochar …

Analysis Of Computational Approaches To Cognitive Diagnosis, Andrew Toussaint

Masters Theses & Specialist Projects

Access to good education is crucial to the well-being of individuals as well as communities. Recent technological advancements in the field of computer science show promise of generating precise descriptions of student cognitive states regarding specified knowledge concepts through a process called cognitive diagnosis. This can facilitate the creation of more targeted lesson plans and more personalized educational software. Experiments were conducted to evaluate the performance of four computerized cognitive diagnosis models. The models include three existing models: Item Response Theory, Neural Cognitive Diagnosis, Knowledge Association Neural Cognitive Diagnosis, and a proposed model, Concept Agnostic Knowledge Evaluation, which was used …

Developing Phenanthroimidazole-Based Fluorescent Sensors For Efficient Analyte Detection, Brian Kellogg

Masters Theses & Specialist Projects

The highly efficient design and synthesis of organic fluorophores with an excellent quantum yield have received extensive attention. Compared with instrumental techniques, fluorescent sensors derived from organic small molecules offer many impressive benefits, such as selective detection, lower cost, and higher efficiency. Various detection mechanisms such as colorimetric, ratiometric, and fluorescence turn on/off have been reported for single analyte detection. Developing molecular probes that are capable of detecting two (or more than two) different analytes (cations, anions, and/or biomolecules) had emerged as a new research area and attracted considerable attention in the field of chemo- and biosensors.

Phenanthroimidazole represents a …

Rain-On-Snow Event Climatology And Hydrological Impacts In The Connecticut River Watershed, Samuel Davidson

Masters Theses & Specialist Projects

Rain-on-snow events, characterized by rain falling on existing snowpack, have the potential to bring about significant hydrological and environmental impacts including snowmelt, flooding, landslides, and other natural hazards. Despite prior evidence suggesting the Connecticut River Watershed has endured socioeconomic and environmental setbacks due to rain-on-snow events in the past, limited prior research has been performed on the role of rain-onsnow events within the region’s hydroclimatology. Gaining a deeper understanding of the occurrence and impacts of such events would provide valuable insights for risk and water resource managers. The purpose of this research was to create a climatology of rain-on-snow events …

Deriving The Efficiency Of Electron Acceleration Within Current Sheets In The May 8th, 2021 Solar Flare Using A Centroid Analysis Method On Stix X-Ray Data, Isaiah Beauchamp

Masters Theses & Specialist Projects

Solar flares are powerful explosions that take place on the Sun, equivalent to a billion atomic bombs, and eject billions of tons of material into space. Flares that reach Earth can disrupt power grids and damage satellite communication systems, presenting challenges for our national security. Studying solar flares is crucial to better understand and prepare for these events.

During a solar flare, electrons are accelerated into the surrounding plasma. The interaction between electrons and heavier particles within the plasma causes the emission of powerful X-rays. Studying X-rays from solar flares can, therefore, provide insight into the accelerated electrons that produce …

Provenance Of Clastic Rocks In The Inner Hornsund Trough, Svalbard, Noah Riccardi

Geology Honors Projects

Late Paleozoic clastic sedimentary rocks in the Inner Hornsund Trough (IHT) in southern Svalbard represent an archive of regional tectonic events and are key to accurate paleogeographic reconstructions of the Arctic. To tap this archive, ~1800 detrital zircon grains were separated and analyzed from six total samples of sedimentary rock, including samples from both sides of the Hornsund fjord. Two samples came from the Marietoppen formation (Late Devonian), and four from the Adriabukta formation (Late Devonian and/or earliest Carboniferous). Detrital zircon U-Pb age spectra from both units are similar, with the majority of analyzed grains falling in the 1.0-2.0 Ga …