Digital Commons Network^™

Theoretical Model For A Poroelastic Membrane Under Uniform Load, Minh Duc Nguyen

OneUSF Summer Undergraduate Research Symposium

Flexible membrane wings appear throughout both natural and engineered flyers — parachutes, sails, birds, and bats — and are known to confer favorable aerodynamic characteristics through deformation in response to the surrounding flow. To date, flexibility and porosity have largely been studied in isolation, yet in a poroelastic membrane the two are coupled: as the membrane extends under load, its pores stretch with the surface. This study takes the first step toward analyzing that coupling by characterizing how the effective elasticity of the membrane depends on its porosity under uniform static pressure. Circular clamped membranes were simulated across a range …

Temporal Graph Networks With Dynamic Mode Decomposition For Iomt Threat And Risk Detection, Thinh Pham

OneUSF Summer Undergraduate Research Symposium

The growing use of interconnected medical devices expands the attack surface of healthcare networks and creates the possibility that a compromise affecting one device, gateway, or communication channel may propagate through connected systems, producing cascading operational and patient-safety consequences. This research investigates whether temporal graph learning can improve intrusion detection and dynamic cyber-risk assessment in Internet of Medical Things networks. A Temporal Graph Network represents network flows as time-ordered interactions between communicating devices, uses each interaction to update their evolving behavioral profiles. The model jointly supports attack-type classification, anomaly detection, and dynamic risk scoring. The design also explores Dynamic Mode …

Protocol For Nod Islet Isolation Using A Novel Two-Filter Purification System, Sama Nayakanti

OneUSF Summer Undergraduate Research Symposium

Type 1 Diabetes (T1D) is an autoimmune disease characterized by the inflammation and destruction of pancreatic islets by infiltrating immune cells. As T1D incidence continues to surge worldwide, it is necessary to develop therapies capable of strengthening and protecting islet function.

Our prior research has previously demonstrated the protective antioxidant effects of Cornus officinalis (CO), a medicinal herb with known anti-diabetes properties, using 1.1B4 and NIT-1 transformed pancreatic β-cell lines. Although these cell lines are valuable and cost-efficient β-cell models, they are not fully representative of primary β-cell biology, which may affect their antioxidant response to CO.

To this end, …

Using Sers For Enhanced Pfoa Detection In Algae, Kyra Everette, Dawson Dodd, Theresa Evans-Nguyen

OneUSF Summer Undergraduate Research Symposium

Due to growing manufacturing processes runoff and environmental pollution, per- and poly-fluoroalkyl substances (PFAS), also known as “forever chemicals,” bioaccumulate in various waterways, eventually making their way into human bodies. Due to the low intensity signals of forever chemicals, it is notoriously difficult to isolate what cellular processes they impact, especially when using Raman spectroscopy. Here, we employed surface-enhanced Raman spectroscopy (SERS) to increase, detect and localize the perfluorooctanoic acid (PFOA) with gold nanoparticles (AuNPs). AuNPs were intracellularly produced in Chlorella and Scenedesmus algae cells, which acted as enhancers to the low PFOA signal. The production of AuNPs within these …

Comparing Satellite Gravity Estimates Of The Labrador Current To Mooring Observations, Calvin G. Rose, Jennifer Bonin

OneUSF Summer Undergraduate Research Symposium

The Labrador Current is an important component of the Atlantic Meridional Overturning Circulation (AMOC) and is the primary pathway for deep water transport from the sub polar North Atlantic southward. Understanding the strength of the Labrador Current and its variability can help to better estimate the potential decline of this crucial current system. A previous study (Meyer & Chambers, 2025) used satellite gravity measurements from the GRACE and GRACE Follow-on missions (GRACE/ FO) to approximate Labrador Current variability and demonstrated reasonable monthly values with transport calculated at a mooring array at 53°N. This study adds to that previous study by …

Photophysical Study Of A Cyclopropenium Azobenzene-Based Photoswitch, Amya Culbreath, Gabriella Oliver, Chavdar Slavov

OneUSF Summer Undergraduate Research Symposium

Ionic liquids are salts that exist as liquids at or near room temperature and are of interest because their structures can be tuned to control properties such as viscosity, polarity, solvation environment, and molecular organization. Incorporating photoswitches into ionic liquids offers a strategy for introducing light-responsive behavior, where reversible structural changes can be used to dynamically modulate liquid structure and function. Here, we present the synthesis of a photoswitchable ionic liquid and investigate its dynamic properties using ultrafast transient absorption spectroscopy. Our results provide insight into how molecular photoswitching influences ionic liquid structure and dynamics, guiding the development of ionic …

Glycoconjugate Binding: Lectin Affinity For Structurally Differing Sugars On Cavitands, Erica D. Janmey

OneUSF Summer Undergraduate Research Symposium

Lectins are proteins that interact with sugars on cell membranes and bind with known affinities. Isothermal Titration Calorimetry (ITC) can give insight into entropy (ΔS), enthalpy (ΔH), stoichiometry (n) and the dissociation constant, KD. Resorcin[4]arene cavitand glycoconjugates were synthesized by attaching one of three sugar derivatives of glucose, mannose, and lactose to each of the cavitands for the purpose of comparing binding strength for concanavalin A between the glycosides and their simple sugar. The glycoconjugate structure differs from that of glycans, and therefore the differences in interactions between the sugars on the cavitands must be investigated. The multivalent resorcinarene glycoconjugates …

Open-Source Software For Computing Code Automorphisms, Mateo Fernandez-Tyson, Gianna Baker

OneUSF Summer Undergraduate Research Symposium

An error-correcting code is a mathematical structure that models the flow of information through a noisy communication channel and seeks to mitigate errors through redundancy. These codes have a wide range of uses spanning from satellite transmissions to cryptographically secure communication schemes. An automorphism of a code is a permutation of the coordinate positions that preserves the code, and these symmetries are useful in helping to answer questions of code equivalence, classification, and decoding. Our work focuses on implementing and testing algorithms for code automorphism computation using GAP and the GUAVA package. We present an efficient algorithm for generating all …

Llm-Assisted Detection And Repair Of Hardware Security Vulnerabilities In Verilog Designs, Ethen Santana, Gabriel Gyaase

OneUSF Summer Undergraduate Research Symposium

Hardware designs, like software, are susceptible to bugs that can introduce security vulnerabilities and create opportunities for malicious exploitation. Unlike software vulnerabilities, however, hardware flaws become permanently embedded in silicon after fabrication, making them difficult or impossible to patch. Many of these weaknesses are categorized under the Common Weakness Enumeration (CWE) framework and include improper access control, exposure of sensitive information, and unintended privilege escalation. To improve the detection of such vulnerabilities, we propose a methodology that leverages a Large Language Model (LLM) to identify potential hardware CWEs directly from hardware designs in Verilog. The proposed approach is evaluated iteratively …

Multi-Omics Informed Drug Response Prediction For Precision Medicine, Iyioluwa O. Adaramola, Anowarul Kabir

OneUSF Summer Undergraduate Research Symposium

Motivation: Treating cancer in patients is hard within precision oncology due to the heterogeneity in cancer cells. Developing predictive methods that estimate drug-responses in cancer cell lines can improve our understanding of treatment effectiveness. The goal of this study is to explore the fundamental and data-driven limitations of the existing advanced learning methods for drug response prediction for precision oncology.

Approach & Findings: We examine current state-of the-art methods that utilize multi-omics patient data and/or signaling pathways to predict drug response across various cell lines. Our analysis identifies that models that learn molecular and topological manifolds demonstrate richer representation of …

Refusing Artificial Coherence: Christopher Tolkien's Philology And His Editorial Practice On His Father’S Legendarium, Nicholas Birns

Journal of Tolkien Research

This paper was given at The Christopher Tolkien Centenary Conference sponsored by the Tolkien Society, held online on 23/24 November 2024.  The paper was given on Zoom on November 24, 2024.

This paper argues that Christopher Tolkien’s 1950s philological essay “The Battle of the Goths and the Huns” anticipates the editorial principles that later governed his presentation of his father, J. R. R. Tolkien’s legendarium. Analyzing Christopher’s treatment of early medieval legend alongside his handling of the Celeborn and Galadriel materials, the essay argues that he consistently resisted imposing artificial coherence on fragmentary evidence. Whether confronting speculative Gothic history, or …

"America America" By Rev. M. V. Mcdonough, Michael V. Mcdonough

William J. Marsh Papers

A song sheet containing the lyrics to a patriotic hymn titled "America, America" written by Rev. M. V. McDonough. It is set to the melody of the traditional song "Maryland, My Maryland" and was published in the Catholic Knights of America Journal.

On Shrinkage Estimators For Pareto Ii Parameters For Right Censored Type Ii Data, Jubran Abdulameer Labban, Hadeel Alkutubi

Iraqi Journal for Computer Science and Mathematics

The aim of this study is to estimate the first two shrinkage estimators for the parameters of the Pareto II distribution with right-censored Type II data. The methods we used in this study are: maximum likelihood and Bayesian. In the Bayesian method, we use non-informative priority, which is Jeffries priority, and we use the squared error loss function. These estimators were compared through Monte Carlo simulation to indicate preference based on the mean square error criterion.

Gpu Ray Tracing And Di!Erentiable Multi-Physics Innovations, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). Description: defensive publication covering enabling inventions around GPU/RT-core ray tracing, differentiable simulation, experimental validation, interoperability (standards), operational security, sustainability, and cross-domain applications (RF/LiDAR/IR/acoustics/seismology/climate/nuclear/biophotonics/medical), …

Neuromorphic Soft Swarm Robotics, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). It discloses enabling systems and methods combining soft actuation (HASEL/EAP), event-based vision (DVS), neuromorphic computing (SNN), and swarm intelligence, covering devices/sensors, closed-loop control, …

Weibull-Aft And Random Forest Hybrid Modeling Of Diesel Generators In Burkina Faso, Zoewendbem Alain Ilboudo, Frédéric Bationo

Engineering and Technology Journal

Diesel thermal power plants are an essential link to ensure energy security in the countries of the Sahel, despite the development of renewable energies. In Burkina Faso, these plants contribute greatly to electricity production. However, their operation is influenced by a particularly restrictive environment characterized by ambient temperatures up to 49 °C, humidity variability greater than 70% and high exposure to dust. These conditions accelerate equipment degradation, reduce reliability and increase unexpected failures. This study proposes a contextualized predictive maintenance tool. Indeed, it is based on a Contextualized Global Risk Index (GPRI) combining a climate risk indicator, a probability of …

System-Level Generation Of Dynamic Information Overlays For Media Content, Harsh Rajotiya, Dev Daftari

Defensive Publications Series

Accessing supplemental information while viewing digital media may involve disengaging from the primary content to use separate applications or devices. This document describes a system level framework for generating dynamic informational overlays that can operate independently of specific media applications. The system may utilize a generative artificial intelligence model to interpret user queries, such as voice commands, and orchestrate the retrieval of data from multiple sources. The model can then dynamically design and specify a custom graphical user interface element, such as a chart or table, which can be rendered as an overlay on a main viewing screen (e.g., a …

Evidence-Based Guidance System For Data Science Teams Using Generative Ai Under Uncertainty, Kristoffer Ahlstrom-Vij

Defensive Publications Series

A method for implementing evidence-based guidance for a data science team using generative artificial intelligence under uncertainty is provided. The method includes reviewing existing evidence on generative AI in knowledge work, including empirical literature on productivity effects, cognition and skill formation, and human factors research on automation complacency and cognitive offloading. The method includes evaluating the existing evidence across parallel considerations and deriving a plurality of principles from the existing evidence. The principles include an accountability principle stating that accountability for work cannot be self-certified, an aggregation principle directing to read more but not think less, a writing reservation principle …

The Challenges Of Romantic Relationships In Contemporary Societies, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3, GPT-5 Thinking and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). This disclosure details technical systems, methods, and architectures spanning ethical matching, socio-ecological scoring, closed-loop UX, a!ective VR, safety/consent, intergenerational models, community optimization, data …

Aptamer–Gold Nanoparticle-Based Lab-In-A-Tube Colorimetric Detection Of Malathion: Evaluation With Classical And Digital Readout Techniques, Emi̇ne Güler Çeli̇k

Turkish Journal of Chemistry

Colorimetric biosensing devices represent an important class of point-of-care (POC) diagnostics due to their ability to provide visible test outputs, their ease of integration with smartphone-based sensing, and their portability for field testing. In the context of agrifood safety, there is a growing need for portable, robust, and cost-effective detection devices. Pesticide residues can be present in a wide range of environmental and food samples, from water resources to fruits and vegetables, resulting in an increasing global demand for on-site testing. Colorimetric assays, when combined with smartphone-based sensing, can effectively address these needs. In this work, the aggregation-induced color change …

Sensitive Electrochemical Sensor For Simultaneous Determination Of Epinephrine And Norepinephrine By Sio2np@Mwcnt-Cooh Nanoparticle-Modified Spces​, Merve Yilmaz Çilçar, Meli̇ke Bi̇lgi̇ Kamaç, Ayşenur Yilmaz Kabaca, Şahi̇n Toparli, Faruk Terzi̇oğlu, Emi̇r Ateş

Turkish Journal of Chemistry

Epinephrine (EP) and norepinephrine (NEP), both neurotransmitters, are two important biomolecules that play critical roles in the body, from the central nervous system to metabolic processes. They are also important biomarkers for clinical diagnosis and monitoring. In this study, a novel, fast, practical, and high-performance electrochemical sensor based on a SiO2NP@MWCNT-COOH nanocomposite was developed for the simultaneous determination of EP and NEP. The nanocomposite was modified onto the surface of screen-printed electrodes (SPCEs) and its characterization was performed (SEM-EDX, XRD, FTIR, CV, DPV, and EIS). The individual and simultaneous determinations of EP and NEP were performed using square-wave voltammetry, yielding …

Acetylcholinesterase Immobilization On A Natural Thin Membrane For Stable Biocatalyst Design, Si̇nem Öztürk, Ceyhun Işik, Mustafa Teke

Turkish Journal of Chemistry

This study involved the immobilization of acetylcholinesterase (AChE) onto a natural thin membrane extracted from the inner epidermal layer of Allium cepa, with the aim of enhancing the enzyme’s stability, activity, and reusability for potential biotechnological applications. The membrane, composed of biocompatible polymers and naturally occurring functional groups, was used as a sustainable support in a combined strategy involving adsorption followed by glutaraldehyde-mediated cross-linking. Immobilization conditions were optimized by evaluating key factors such as enzyme concentration, membrane quantity, cross-linker dosage, and contact time to achieve maximal catalytic efficiency. Structural and morphological changes on the membrane surface were assessed via scanning …

Folic Acid-Targeted Polymeric Complex Imprinted With Doxorubicin And Quercetin For Controlled Drug Delivery In Cancer Therapy, Ceren Türkcan, Emi̇rhan İşeri̇

Turkish Journal of Chemistry

​Cancer therapy is often limited by the systemic toxicity and dose-dependent adverse effects of conventional chemotherapeutic agents such as doxorubicin (DOX). In this study, a folic acid-functionalized molecularly imprinted polymeric complex based on poly(HEMA) crosslinked with ethylene glycol dimethacrylate was synthesized for the controlled release of DOX in combination with quercetin (QUE), a flavonoid known for its antioxidant and chemosensitizing properties. The aim of this work was to develop and physicochemically characterize a preliminary targeted drug delivery platform at a material-design level. The polymeric complex was synthesized via free-radical polymerization following a DOX–QUE precomplex formation step. Structural characterization was performed …

Antifungal Activity Of Isolated Compounds From Centaurea Salicifolia Var. Salicifolia Against Candida Species, Including Multidrug-Resistant C. Auris, C. Inconspicua, And C. Dubliniensis, Seli̇n Tufan, Di̇lek Şatana, Nur Tan

Turkish Journal of Chemistry

Natural compounds obtained from plants have always held great potential for drug discovery and, as such, have drawn the attention of researchers as novel antifungal molecules that can be effective against fungal resistance. The antifungal activity of sesquiterpene lactones has been extensively investigated against various fungal strains, but there is limited data on their antifungal activity against Candida species. Sesquiterpene lactones are abundant in the Asteraceae family, and 90% of identified sesquiterpene lactones have been isolated from members of this family. Three extracts obtained from the aerial parts of Centaurea salicifolia var. salicifolia, which had not been investigated prior to …

Electrochemical Determination Of Terbutaline Using A Sno2 Nanoparticle-Modified Carbon Paste Electrode, Rauf Gulamov, Şenol Alpat, Si̇bel Kilinç Alpat

Turkish Journal of Chemistry

Terbutaline hemisulfate (THS), a selective beta-2 agonist, is preferred as a bronchodilator for the treatment of asthma and bronchitis, as well as a tocolytic agent to delay labor in acute situations during premature birth. The use of beta-2 agonists above a certain dose is considered doping in sports competitions. Therefore, it is important that they be determined with high sensitivity and selectivity within a short analysis time. In this study, a SnO2 nanoparticle-modified carbon paste electrode was developed for the determination of THS. Cyclic voltammetry and differential pulse voltammetry were employed as electrochemical methods. The operating conditions of the developed …

Chitosan Microparticle-Based Antibacterial Nasal Barrier Formulation And In Vivo Evaluations, Güli̇z Ak, Ayça Erek, Tuğba Karakayali, Şadi̇ye Çeti̇n, Şenay Şanlier

Turkish Journal of Chemistry

Microorganisms remain a major cause of infectious diseases, emphasizing the need for alternative and complementary antimicrobial strategies. In this context, plant-derived materials have attracted increasing attention for their antimicrobial and protective properties. Chitosan, a biocompatible and cationic biopolymer, has emerged as an effective carrier system for encapsulating such plant-derived components. In this study, chitosan microparticles were prepared through ionic gelation followed by spray drying and loaded with thyme oil and olive leaf extract. The resulting microparticles exhibited an average size of approximately 1.8 μm and a total phenolic content of 23 mg GAE/g. These microparticles were incorporated into a glycerin–starch …

A Poly-L-Lysine-Functionalized Electrochemical Immunosensor Enables Highly Sensitive Detection Of Tumor Necrosis Factor Receptor-Associated Protein 1, Berfi̇n Vural, Mustafa Kemal Sezgi̇ntürk

Turkish Journal of Chemistry

Tumor necrosis factor receptor-associated protein 1 (TRAP-1), a member of the mitochondrial heat shock protein family (HSP90), is essential for protein homeostasis, stress response, and cell cycle. TRAP-1 not only optimizes cellular energy production but also prevents cell death, thereby supporting the survival and proliferation of tumor cells. In addition to cancer, TRAP-1 has been associated with Parkinson’s disease, certain autoimmune disorders, and abnormalities in the kidney and urinary tract. In this study, a unique and useful indium tin oxide-polyethylene terephthalate (ITO–PET)-based electrochemical biosensor is described for detecting the biomarker TRAP-1. The ITO–PET electrode, selected as the working electrode, is …

Accounting Response To Inflation And Its Implication On Economic Development In Nigeria, Jimoh Ojo Ihiovi

Bullion

This study examines the relationship among inflation, accounting responses, investment, regulatory compliance and economic development in Nigeria. It uses secondary data from official macroeconomic sources and selected corporate reports and applies descriptive statistics, correlation analysis and Ordinary Least Squares regression. The reported results show a negative association between inflation and GDP per capita, while accounting response, investment and regulatory compliance have positive associations with economic development. The study recommends stronger inflation-sensitive disclosures, improved enforcement and professional capacity, while recognising that IAS 29 applies only where its hyperinflation criteria are met.

Non-Oil Exports And International Reserves In Nigeria: A Descriptive Assessment (1981-2023), Oluwabunmi Dada

Bullion

This study examines non-oil exports and international reserve accumulation in Nigeria using annual data from 1981 to 2023. Descriptive statistics, correlation analysis and trend analysis are employed. Services and agricultural exports show modest positive associations with reserves, while manufacturing exports record a strong negative association and mining exports show a negligible relationship. Real GDP, the exchange rate and external debt are positively correlated with reserves. The findings support policies that strengthen export competitiveness, value addition and macroeconomic stability. The reported relationships are descriptive and should not be interpreted as causal effects.

Cash Reserve Ratio As A Monetary Policy Tool In Nigeria: Implications For Banking System Liquidity And Stability, Baba N. Yaaba Phd, Usenobong Akpan Phd

Bullion

In pursuit of price stability, the Central Bank of Nigeria (CBN) deploys a range of monetary policy instruments to regulate liquidity conditions and influence macroeconomic outcomes. Among these, the Cash Reserve Ratio (CRR) has played an increasingly prominent role in recent tightening cycles. While these measures aimed to curb excess liquidity and inflationary pressures, concerns have emerged regarding their implications for bank intermediation and financial stability. This study evaluates the impact of CRR on banking system liquidity and stability in Nigeria using an Autoregressive Distributed Lag (ARDL) model and monthly data from June 2010 to March 2025. The results confirm …