Physical Sciences and Mathematics Commons^™

Reminders App Execution, Alexander Gardner

Harrisburg University Other Works

This poster highlights the creation of an Android mobile application for reminders. This app is titled It's Time, Remind! Developed with the Flutter SDK and SQLite for the local database. Firebase Authentication was utilized for user account registration, login/ logout, and profile management. Users can additionally choose to use the app without an account. Users are able to view, create, and delete reminders and notes. Reminders also notify at specified times.

Dynamic-Query Robustness Of Ann Indexes Under Time-Indexed Drift, Stellamaris Nakacwa, Majid Shaalan

Harrisburg University Other Works

Approximate nearest-neighbor search is a central retrieval primitive in dense question-answering and retrieval-augmented generation systems. Existing ANN evaluation protocols typically measure recall, latency, throughput, and search-effort sensitivity under a fixed-query assumption: a query vector is submitted to an index, approximate neighbors are retrieved, and the result is compared with exact nearest-neighbour ground truth. This assumption is appropriate for conventional vector-search benchmarking, but it is less complete for multi-step, distributed, and agent-controlled retrieval pipelines in which the retrieval-facing query may be refined, recomputed, or displaced across execution steps. This paper introduces a time-driven dynamic query evaluation framework for ANN search. The …

High Performance Ae-Cnn Model Enhanced Via Gaussian Augmentation For Rssi-Dependent Indoor Positioning In Wireless Sensor Networks, Kahlaa K. Al-Nassrawy, Ghaidaa A Al-Sultany

Karbala International Journal of Modern Science

Precise indoor positioning system remains a significant challenge within Wireless Sensor Networks (WSNs) due to the instability and noise sensitivity of Received Signal Strength Indicator (RSSI) data. This paper proposes an advanced hybrid deep learning framework designed for 2D indoor localization, utilizing RSSI measurements to predict human or object position. Furthermore, to enhance the robustness of the model against signal variance and promote its generalization capability under this uncertainty, a data augmentation strategy is applied using three methods: Gaussian Noise Injection (GNI), Gaussian Mixture Model (GMM), and Bayesian Gaussian Mixture Model (BGMM). The purpose of data augmentation is to simulate …

Investigating The Bioactivity Of Novel Β-Diketonate Complexes, Celeste Remolina, Dylan Wolfe

Research & Creative Achievement Day

Ruthenium β-diketonate complexes have emerged as promising chemotherapeutics due to their selective bioactivity against tumors. We assessed the bioactivity of novel synthesized ruthenium β-diketonate complexes on human cancer cells as well as wild-type cells. Using cell growth assays, we screened candidate ruthenium complexes and determined the IC50 value for effective candidates. Here we present a model for ruthenium-mediated growth inhibition

Using Fluorimetry And Spectroscopy For Quantitative Analysis Of Biomaterial-Derived Carbon Dots, Kahun N. Vue

Research & Creative Achievement Day

Carbon Dots (CDs) are renowned for having great quantum yield, absorption, electron transfer, and stability. Biomaterial-derived carbon dots are eco-friendly nanomaterials synthesized through the carbonization and condensation of organic surface groups. This study investigates the synthesis, characterization, and application of CDs derived from various biomaterial precursors, including chitosan, cellulose, β-keratin, α-keratin, and amylose derived from chitosan, corn husk, chicken feathers, human hair, and potato skin respectively. Hydrothermal and purification methods were used to develop a green, cost-effective synthesis while evaluating the eco-friendliness and sustainability of the resulting nanomaterials. The physicochemical properties of each CD were evaluated based on fluorescence intensity, …

Analyzing Accessibility Issue Detection Differences Between Wave And Google Lighthouse Using A Controlled Wcag Violation Webpage, Saabiriin M. Abdi

Research & Creative Achievement Day

Automated accessibility evaluation tools, such as WAVE and Google Lighthouse are widely used to assess compliance with the Web Content Accessibility Guidelines (WCAG). However, prior studies indicate that these tools often disagree, vary in the success criteria they support, and differ in the type of issues they detect. Because most evaluations were conducted on real websites, where the precise number of accessibility violations is unknown. Without a ground-truth baseline, it is impossible to measure false negatives, false positives, or the accuracy of detection.

This project addresses that gap by creating a controlled HTML webpage containing 40 intentional WCAG 2.1 Level …

Area Approximation Of Jordan Curves Via The Isoperimetric Inequality And Cauchy-Crofton Formula, Nikita Veselkin, Rashad Kaiyal

Mathematics Colloquium Series

We combine the Isoperimetric Inequality (Dido's Problem) and the Cauchy-Crofton formula to approximate the area enclosed by Jordan curves in the 2D plane. The Cauchy-Crofton formula provides a consistent estimate of a curve's length, which the Isoperimetric Inequality then uses to approximate the enclosed area. We additionally present software that automates the Cauchy-Crofton length computation, making the method practical for real-world use. Empirical testing validates the accuracy of this combined approach, with potential applications in tumor segmentation from MRI scans.

Computational Investigation Of Ruthenium Complex Interactions With Dna For Anticancer Applications, Mikayla A. Ertz

Research & Creative Achievement Day

Ruthenium complexes are being studied as potential alternatives to platinum-based cancer drugs because they are often less toxic and more selective for cancer cells. This project uses computational modeling to investigate how a ruthenium complex interacts with DNA, which is an important target for anticancer activity. All simulations were performed using the MSI Agate supercomputing system through Termius. The complex was first tested in the major groove of DNA with and without a leaving group, followed by the same set of simulations in the minor groove. Binding energies were analyzed to compare interaction strength and determine how groove position and …

Growing Large Single And Multi-Crystals From Alum Powder, Owen Paulson, Mayra G. Aguilar, Owen T. Maloney, Kole C. Koehler

Research & Creative Achievement Day

Crystal growth science is used to replicate the growth of crystals that form in nature. Channels of hot fluid with concentrations of minerals created the crystals found as gemstones. At low concentrations, no crystal grows. At high concentrations, a multitude of crystals grow. At the ideal concentration, a single, clear crystal grows. Four solution concentrations were used to create seed crystals. Those Alum seed crystals were attached to a string and suspended in various concentrations of Alum solution to find concentrations that create no crystal, a single crystal, and a multi-crystal.

Co-Precipitation Synthesis Of Magnetic Nanoparticles (Mnps) Fe3o4 And Their Photocatalytic Performance, Leo Doan, Natalie R. Chouinard, Kahun N. Vue

Research & Creative Achievement Day

Iron oxide nanoparticles (NPs) were prepared and evaluated for their photocatalytic activity in degrading methylene blue (MB). MB is widely used in different industries and is difficult to remove from waste due to the benzene groups, so the removal of MB becomes an emergency problem. Magnetic nanoparticles (MNPs), Fe3O4, were successfully synthesized using a co-precipitation method between FeCl3.6H2O and FeCl2.4H2O. The point of zero charge (PZC) was determined to be approximately at pH 6.37. The NPs were examined under UV light irradiation, and their catalytic activity was monitored using UV-Vis spectroscopy. The λmax of MB was determined to be approximately …

Growing Alum Crystals, Todd Carroll, Daniela Gutierrez Rubio, Kevin Dang, Samuel J. Whempner

Research & Creative Achievement Day

One of the easiest crystal growth experiments uses Alum powder to dissolve in water. The dissolved material slowly forms with seed crystals to create larger crystals. As the dissolved material is depleted, more is added to continue the crystal growth. Four different concentrations were used for seed crystal growth. Those crystals were attached to a string and hung in a bath of Alum solution. Different strategies were used to grow crystals and in some cases dissolve crystals.

Deep Tissue Massage-Induced Muscle Damage Associated With Delayed Onset Muscle Soreness (Doms), Stress, And Rhabdomyolysis, Lily M. Ekert, Ella R. Halopka, Micah Maddio, Marisa Wood, Bailey Kerkow, Logan Murphy, Ashley Wise

Research & Creative Achievement Day

Deep tissue massage is a common treatment method used to aid in muscle recovery, reduce pain, and promote overall physical well-being. However, there is limited research explaining its biochemical effects at a cellular level, particularly in relation to muscle damage and systemic inflammation. Severe cases of muscle tissue breakdown are Rhabdomyolysis, which is discussed with an emphasis on clinical evidence rather than biochemical aspects. The goal of this study is to determine whether deep tissue massages cause cellular damage and tissue inflammation. This testing will be done through quantitative measurements of biomarkers within the bloodstream. In previous studies, four specific …

Growing Alum Crystals, Jackson A. Struhar, Alexis M. Freiboth, Ana N. Schneider

Research & Creative Achievement Day

Alum, also known as Potash, is used to can pickles. Alum powder was used to create seed crystals. The seed crystal was hung in a jar submerged in distilled water with alum powder dissolved to attempt to grow an Alum crystal over the Spring semester. Three different concentrations were used to determine changes associated with crystal growth and quality. Numerous strategies were employed throughout the semester as growth methods worked and did not work.

Growing Large Alum Crystals, Wyatt N. Laborde, Will Gunderson, Kyle R. Behrens

Research & Creative Achievement Day

Alum forms a colorless cubic crystal that can grow to the size of a small apple over the span of 2-3 months of growth in a concentrated solution. Many different seed crystal solutions were used to obtain large clear seed crystals. The best seed crystal was attached to a string and suspended in various concentrations of Alum solution to allow for the seed crystal to grow into a large crystal. By monitoring the weight of the crystal, the solution concentration was adjusted for optimum growth.

Purification And Investigation Of Bromelain Enzyme From Pineapple, Elsie J. Dahnert, Leah O. Hanson, Regan E. Stafanoni, Reyna Olson, Eion D. Hinkle, Muaj-Infinite S. Yang

Research & Creative Achievement Day

Bromelain proteins are a group of digestive protease enzymes that act as a chemical defense to prevent grazing. Bromelain is often taken as a dietary supplement in an attempt to support digestion, and it is used as a meat tenderizer in the restaurant industry. Extracting Bromelain from pineapple, especially the skin, leaves, and stem of the plant, can create a value-added product from what is widely considered to be agricultural waste. In this research, we examined the difference in Bromelain concentrations between the flesh of the pineapple and the skin, leaves, and stem of the pineapple, and the efficacy of …

Detecting Eigenvectors Of An Operator That Are Near A Specified Subspace, David Darrow, Jeffrey S. Ovall

Mathematics and Statistics Faculty Publications and Presentations

In modeling quantum systems or wave phenomena, one is often interested in identifying eigenstates that approximately carry a specified property; scattering states approximately align with incoming and outgoing traveling waves, for instance, and electron states in molecules often approximately align with superpositions of simple atomic orbitals. These examples—and many others—can be formulated as the following eigenproblem: given a selfadjoint operator L on a Hilbert space H and a closed subspace W ⊂ H, can we identify all eigenvectors of L that lie approximately in W? We develop an approach to answer this question efficiently, with a userdefined tolerance and range …

A Sticky Situation: Mannose Glycosides, Morgan Romanski, Scott Hasty

2026 Student Academic Showcase

Mannose chemistry is notoriously difficult due to the electronic structure of the molecule. The dipole moments on the molecule provide stability, meaning adding and removing substituents come with many obstacles. This results in numerous byproducts, prevents reactions from going quickly, or prevents the reaction from occurring at all. In this project, the issue of producing a mannose molecule with the desired leaving group for glycosylations is investigated using two different methods of synthesis of attaching 2-mercaptopyridimine to a benzylated mannose on carbon 1. These two methods investigate and aim to solve the issue of epoxide formation and the mannose molecule …

Complete Synthesis Of A Beta-Linked Disaccharide, Abby Dunn

2026 Student Academic Showcase

The continual need to develop strategies and methods for oligosaccharide synthesis drives carbohydrate chemists to discover new glycosides. This push has led to the discovery of an attractive 6-methylpyrid-2-yl leaving group for chemical glycosylation. Presented are three syntheses of the molecules 2-mercapto-6-methylpyridine, glycosyl donor 6-methylpyrid-2-yl-2,3,4,6-O-acetyl-1-thio-β-D-glucopyranoside, and glycosyl acceptor methyl-2,3,4-O-benzyl-α-D-glucopyranoside. The 2-mercapto-6-methylpyridine molecule was affixed to the requisite sugar to produce the glycosyl donor, 6-methylpyrid-2-yl-2,3,4,6-O-acetyl-1-thio-β-D-glucopyranoside. This sugar was then coupled with methyl-2,3,4-O-benzyl-α-D-glucopyranoside using silver triflate (AgOTf) to obtain the targeted disaccharide.

Theory And Simulations Of Delayed Stochastic And Deterministic Models Of Prion Diseases, Gangadhara Boregowda, Omar Sharif, Daniel Gutierrez Iii, Allegra Simmons, Laurent Pujo-Menjouet, Tamer Oraby, Michael R. Lindstrom

School of Mathematical & Statistical Sciences Faculty Publications

Neurodegenerative diseases (NDs), such as Alzheimer’s, Parkinson’s, and prion diseases, are characterized by the dynamical spread of toxic proteins through the brain. In prion diseases, cellular prion protein (PrPC), produced by neurons, misfolds into a toxic form, known as scrapie prion protein (PrPSc). PrPSc induces neuronal stress which ultimately leads to cell death. In this paper, we develop mathematical models for the progression of prion diseases, incorporating a cellular defense mechanism that introduces a delay term affecting protein translation and a volatility term accounting for unaccounted biological factors influencing the system. We also extend the model to capture the spatial …

Mechanism Of Improved Miscibility Of Co2–Oil Systems By Multiester-Headgroup Surfactants, Ning Xu, Yanling Wang, Baojun Bai, Yu Zhang, Wenjing Shi, Zhaonian Zhang, Wenhui Ding, Peixu Ma, Zan Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

In the pursuit of carbon neutrality, the CO₂-enhanced oil recovery provides dual benefits by enabling both carbon sequestration and incremental oil production. However, its application is limited by high minimum miscibility pressure. CO₂-philic and oil-affinitive surfactants have emerged as an effective, low-dosage, and cost-efficient strategy to reduce the minimum miscibility pressure. In this study, macroscopic phase behavior experiments combined with molecular dynamics simulations were employed to systematically elucidate the influence of multiester-head surfactants on CO₂–oil miscibility. Using a modified pressure–volume–temperature apparatus equipped with optical power monitoring, we determined that multiester-head surfactants reduced the first-contact …

Mcgehee Blow Up And Collision Manifold Of Planar (2+2)-Body Problem, Nathaniel Scott Sill

Theses and Dissertations

This thesis analyzes the dynamics of the Planar (2+2)-Body Problem which consists of two asteroids moving under the gravitational force of each other and of two larger primaries. We use the McGehee blow up technique to remove the singularities in the dynamics associated with a triple collision with one of the primaries by introducing a new set of variables. Additional variables are introduced to reduce the dimension of the problem. We then derive the dynamics for these new variables. We then use the energy relation that comes from the original Hamiltonian to describe the collision manifold which is pasted in …

Differentiable Objectives For 3d Scene Relighting Via Gradient Descent On Olat Basis Coefficients, Anson Savage

Theses and Dissertations

Designing effective lighting is an iterative and often time-consuming process. This work contributes to automatic lighting design research by presenting a render-engine agnostic optimization routine: gradient descent on RGB multipliers of one-light-at-a-time (OLAT) basis images. We compare several objective functions to accomplish lighting tasks and show that our method is capable of quickly and effectively exploring different lighting styles using either text prompts or reference images. We also present several datasets specific to lighting tasks and show that fine-tuning on these datasets can improve performance.

Re: Approval Letter For The Butte Priority Soils Operably Unit (Bpsou) Revised Draft Final Quarterly Operations And Maintenance Report: Butte Treatment Lagoon System (Btl) Second Quarter 2025 (Dated April 10, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Synthesis, Structural Elucidation, In Vitro Antibacterial Activity Of Mononuclear Ag(I) Complex Derived From (E)-N-(4-Fluorophenyl)-1-(Pyridin-2-Yl) Methanimine And Triphenylphosphine Ancillary Ligand., Olufemi Stephen Odulaja, Saliu Alao Amolegbe, Muritala Adeniyi Olusola

Tanzania Journal of Science

Chemo-therapeutic application of metal complexes to remediation and subjugation of emerging infectious diseases with a view to improving potency and efficacy of a variety of drugs is gaining more momentum, especially in the 21st century. This research work designed a new biologically active complex [AgL(PPh3)2]NO3,C, obtained from the reaction of Ag(I) nitrate with bidentate pyridinyl Schiff base ligand (E)-N-(4-fluorophenyl)-1-(pyridin-2-yl) methanimine L, with triphenylphosphine (PPh3) as co-ligand. Characterisation was done by FT-IR, UV-Vis, NMR, (TGA/DTA), X-ray crystallography, and elemental analysis. The combined effects of pyridinyl Schiff base ligand and PPh3 on the antibacterial activities against Staphylococcus aureus, Escherichia coli, Klebsiella pneumonia, …

Optimization Of Pediatric Multidetector Ct Imaging Parameters Using A Machine Learning–Based Monte Carlo Simulation Model, Ali O. Masoud, Adithya Rajnaryanan, Khamis O. Amour, Ahmed M. Jusabani, Justin E Ngaile, Manoj Kumar, Mwingereza John Kumwenda Dr

Tanzania Journal of Science

This study utilized Monte Carlo (MC) simulations to optimize radiation doses in pediatric multidetector computed tomography (MDCT) head scans by analyzing key parameters like tube current (mA), tube voltage (kV), pitch, and slice thickness. The findings indicate that reducing tube current significantly lowers the Computed Tomography Dose Index (CTDIvol) and Dose Length Product (DLP), effectively minimizing patient radiation exposure. Higher pitch values (0.7–0.9) further reduced radiation by decreasing beam overlap, while using a thinner slice thickness (0.6 mm) improved dose efficiency. A comparison highlighted the effectiveness of optimization: simulated parameters kVp 100, mAs 81, pitch 0.98 yielded a CTDIvol of …

Grp-02-199 Topological Constraints For Protein Folding, Charles Fanning

C-Day Computing Showcase

We study whether topological loss-based constraints improve multidomain whole-chain protein structure prediction beyond the ColabFold baseline by better preserving the topologies of folded proteins. We benchmark against Wasserstein metrics with our own virtual persistence and RKHS semi-metric constraints as well as higher-order virtual persistence diagrams.

Uc-177-226 Scrapper Kinetics Llc, Mikhail Rudenko, Andrew Torimoto, Jimmy Lock, Marco Cheng

C-Day Computing Showcase

Scrapper Kinetics LLC is a multiplayer and multimodal physics puzzle game. Where players get to choose between playing in VR or Desktop mode, and then, with up to 7 friends (8 players total), try to make a profit in the harsh dead space hulks they have been hired to scrap. We made the game as a test to see how easy it is to have completely different devices interact in the same play space.

Ur-166-204 Multi-User Stem Learning Experience Powered By Llm Conversational Agents, Devon Haynes, Chance Boecker, Oliver Haggard

C-Day Computing Showcase

While Extended Reality (XR) provides experiential and interactive foundations for STEM education, current storytelling and narrative-driven applications often lack responsive nonplayer characters (NPCs), limiting interactive potential through pre-scripted stories. Additionally, despite the growth of Large Language Model (LLM) integration in XR, limited research explores the combined use of multi-user XR systems and conversational Artificial Intelligence (AI) to facilitate real-time, adaptive instruction. This project seeks to address these gaps by 1) Developing a narrative-driven STEM learning XR prototype that incorporates synchronous multi-user interaction and an embedded LLM-driven conversational agent and 2) Exploring the effectiveness of combining these technologies to improve learning …

Ex-04-142 Modeling Distress And Evaluating Chatbot Safety For Suicide-Related Social Media Texts, Rehma Razzak

C-Day Computing Showcase

This project addresses the urgent need for transparent chatbot safety evaluations amid rising concerns about AI-facilitated self-harm. Using public social media datasets, we simulate two tasks: (1) detecting suicidal ideation via emotion-based risk scoring, and (2) stress-testing a support-style chatbot against 888 high-risk prompts, including euphemisms and “for a story” framing. A multi-label classifier trained on GoEmotions feeds emotion profiles into a logistic regression model to generate suicidality risk scores. These scores guide a local chatbot built with Ollama’s llama3, which analyzes user messages and steers responses toward safe, empathetic behavior. Evaluation shows ~90% of replies were safe or supportive. …

Gc-113-125 Carter’S Lake Visitor Center Boating Safety Game, Hunter Blake, Chancelor Brown, Lauren Robbins, Will Bryant, Kendrick Bryant

C-Day Computing Showcase

The Boating Safety Game is an educational, kiosk-based touchscreen game created for the U.S. Army Corps of Engineers and the Carters Lake Visitor Center. It is designed to improve the knowledge and engagement of boating safety concepts for visitors, particularly for students and youth. The project was developed using multiple game scenarios meant to reinforce safe boating practices through tutorial scenes, top down navigation, life jacket and required item selection tasks, and player motivation through quizzes, feedback, scores, and a star ranking system. The game’s design emphasizes accessibility and retention through simple touchscreen interaction, guided instruction, and repeated feedback on …