Digital Commons Network^™

The Odds Don’T Lie: Mathematical Reasoning And Societal Ignorance In Don’T Look Up, Nysa Vedwan, Shane Carey

LASER Journal

In Adam McKay’s 2021 satirical sci-fi movie Don’t Look Up, two astronomers discover a comet heading directly toward Earth. Despite overwhelming evidence and near-certainty of global extinction, their warnings are ignored and ridiculed. This paper discusses the mathematical and scientific foundations of the movie’s social and political reception, and specifically focuses on orbital prediction and probabilistic modeling as they relate to public understanding of risk. This paper shows how data is often undermined by political and social dynamics, by connecting the fictional events of the movie with real-world crises like the COVID-19 pandemic and the climate emergency. In Don’t Look …

Effects Of Radiation Type On Charge Transport In Aged Polymers, Zachary J. Gibson, Jr Dennison, Virginie Griseri

Journal Articles

Spacecraft charging issues are often investigated with simulated space environments and evaluated on pass–fail criteria that may yield little or no information about materials’ properties. It is far more effective to understand and mitigate spacecraft charging issues through investigations of material properties. However, material properties are dynamic in the harsh environment of space. Approximations must be made to simulate the space environment in the laboratory. This article reports on the investigation of the approximation that energy deposition causes the same aging effects in materials irrespective of the type of radiation sources. Samples of polytetrafluoroethylene (PTFE) and polyether-etherketone (PEEK) were irradiated …

Interpreting Extension Professionals' Viewpoints On Agricultural Climate Change Programming, Aaron B. Wilson, Alli Wenman, Samuel Pratsch, Kenneth Genskow, Patrick Robinson, Dennis Todey, Laurie Nowatzke, Namah Chiamo Taku-Forchu, Moses Wanyakha

Journal of Extension

We evaluated Extension professionals' attitudes and beliefs from Midwestern "1862" land-grant universities around three themes: prioritizing climate programming, farmers' perceptions, and the role of Extension leadership in building capacity to integrate climate change into programs. Using key informant interviews and a two-hour virtual workshop, we developed 'coordinate planes' to illustrate the tensions and contradictions among the three themes, with participants expressing highly diverse viewpoints across the region. Results identify the need for Extension leadership to support multi-state programs and shared resources that provide consistent guidance and expectations around climate change programming while recognizing the intrinsic state context and values.

Implementation And Assessment Of The Openbci Platform As An Accessible Brain- Computer Interface, Jewell Norris

Honors Theses

OpenBCI is a low-cost, open-source platform for alternative brain-computer interface (BCI) software and hardware. This thesis evaluates OpenBCI’s electroencephalogram (EEG) and electromyography (EMG) capabilities by constructing and testing a 16-channel EEG system using the Ultracortex Mark IV headset and Cyton + Daisy biosensing board. The viability of the system was assessed through real-time BCI control and comparison to a clinical-grade EEG system. Real-time BCI control of an online falling-block game was tested via the use of eye blinks EMG (channels Fp1/Fp2) and head-tilt accelerometer inputs. The BCI game demonstrated reliable control despite minor latency and artifact sensitivity. For clinical comparison, …

Indigenous And Tribal Nation Scientists And Universities, Elizabeth A. Sumida Huaman, Stephen J. Smith

Critical Internationalization Studies Review

No abstract provided.

Inverse Design For Generating Initial Conditions In Scientific Simulations, Leslie Horace, Christin Whitton, Vanessa Job, William Jones, Nathan A. Debardeleben

Computing Sciences

We propose a conditional normalizing flow (CNF) surrogate model to solve generative, many-to-one inverse problems in scientific simulations governed by partial differential equations (PDEs) with time-evolving interactions between heterogeneous materials. We present two case studies: electrostatic potential and heat diffusion, which serve as proxy simulations for generating diverse sets of initial conditions that can reproduce an observed output state (transient or steady). Finally, we provide a comprehensive overview of the synthetic datasets, the model specification, each stage of the experimental workflow, evaluation of training performance, and uncertainty quantification for the generated samples.

Synthesis And Characterization Of Highly Stable Fisetin Encapsulated In Lecithin-Chitosan-Savie Nanoparticles, Hart Monyatovsky, Travis Anderson, Jay Nadeau

Physics Faculty Publications and Presentations

Senolytic drugs, of the class of polyphenolic flavonoids, have attracted attention for a wide variety of medical applications for which they may be delivered topically, orally, and/or intravenously. However, due to their hydrophobicity and sensitivity to light and oxygen, they have been proven difficult to package and deliver. Here we report a synthesis method for encapsulated fisetin using lecithin-chitosan ionic gelation with a recently reported surfactant that is an alternative to polyethylene glycol (PEG)-containing compounds. Called “Savie” for a contraction of its components, sarcosine-Vitamin E, this surfactant allows for production of sub-100 nm nanoparticles that are bench stable for at …

Source Apportionment And Potential Health Risks Of Trace Metals In A Contaminated Urban River In New York/New Jersey Harbor System, Md Shahnul Islam, Sana Mirza, Huan Feng, Tapos Kumar Chakraborty, Yu Qian, Shinjae Yoo

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

The Lower Passaic River (LPR), located within the New York/New Jersey Harbor Estuarine System, has experienced long-term industrial activities, resulting in elevated concentrations of trace metals in sediment and water. This study aims to assess the bioaccumulation behavior, potential human health risks, and sources of copper (Cu), lead (Pb), and mercury (Hg) in the LPR. Trace metal concentrations were measured in water, sediment, and seven edible aquatic species. Data were analyzed using statistical approaches, and evaluated by bioaccumulation factors (BAFs) and human health risk assessments based on U.S. Environmental Protection Agency (USEPA) guidelines. Results showed that Hg exhibited the highest …

Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte

Faculty Publications

Protein function emerges from dynamic conformational changes, yet structure prediction methods provide only static snapshots. While AlphaFold3 (AF3) predicts protein structures, the potential for extracting dynamic information from its ensemble predictions has remained underexplored. Here, we demonstrate that AF3 structural ensembles contain substantial dynamic information that correlates remarkably well with molecular dynamics simulations (MD). We developed ChronoSort, a novel algorithm that organizes static structure predictions into temporally coherent trajectories by minimizing structural differences between neighboring frames. Through systematic analysis of four diverse protein targets, we show that root-mean-square fluctuations derived from AF3 ensembles can correlate strongly with those from MD …

Reducing Data Requirements In Polymer Science: Deep Neural Networks For Predicting Surface Tension Of Copolymer Compatibilizers, Md Mushfiqul Islam

USF Tampa Graduate Theses and Dissertations

In polymer chemistry, compatibilization involves adding a substance often a block or graft copolymerto stabilize polymer blends that would otherwise not mix well, leading to rough structures and weak me- chanical properties. Compatibilizers improve miscibility and reduce interfacial tension, which is critical for applications such as mixed-waste polymer recycling. Sequence-controlled polymers offer unique potential by combining the tunable chemistry of synthetic polymers with the precise, function-driven design of biological macromolecules, but unlike proteins, they lack large, evolution-shaped datasets to guide discovery. This research develops a deep learning framework to predict the surface tension of sequence-controlled copolymer compatibilizers across varying concentrations. …

Latent Classification Of Time-Dependent Transition Rates In Longitudinal Binary Outcome Data, Joonha Chang, Wenyaw Chan

School of Public Health Faculty Publications

Continuous-time Markov chain (CTMC) models and latent classification methods are commonly used to analyze longitudinal categorical outcomes in medical research. While CTMC models are popular for their simplicity and effectiveness, their assumption of constant transition rates presents limitations in capturing dynamic behaviors. To address this, non-homogeneous continuous-time Markov chains (NH-CTMCs) have been developed, incorporating time-varying transition rates to enhance model flexibility. In this study, we leverage closed-form transition probabilities for a fully ergodic two-state NH-CTMC model and propose a latent class clustering approach to identify heterogeneous transition rate patterns within the population. We emphasize the potential advantages of these models …

Comparing Machine Learning, Deep Learning, And Reinforcement Learning Performance In Culex Pipiens Predictive Modeling, Wei Yin, Sanad H. Ragab, Michael G. Tyshenko, Teresa Patricia Feria-Arroyo, Tamer Oraby

School of Mathematical & Statistical Sciences Faculty Publications

Several machine learning (ML) and deep learning (DL) methods have been used to predict the presence of species in classification problems. Another set of methods, called reinforcement learning (RL), has been used in training agents to perform various tasks, but not in predicting species distribution. Culex pipiens (Diptera: Culicidae), commonly known as the common house mosquito, is a globally distributed species prevalent in temperate and subtropical regions. They serve as a primary vector for West Nile Virus (WNV), a mosquito-borne pathogen that affects humans and other animals. The study objective is to compare the performance of logistic regression, random forest …

Monotone Positive Solutions Of Impulsive Differential Equations Asymptotic To Nonprincipal Solutions, Si̇bel Doğru Akgöl, Ağacik Zafer

Turkish Journal of Mathematics

This study investigates the asymptotic behavior of monotone positive solutions for a general class of nonlinear second-order impulsive differential equations. By employing the principal and nonprincipal solutions of the associated homogeneous equation, we establish the existence of a monotone positive solution asymptotic to a nonprincipal solution at infinity. To achieve this, we also prove a compactness criterion for an effective use of Schauder’s fixed-point theorem. Under suitable conditions, similarly to the classical case, it is demonstrated that a monotone positive solution asymptotic to a nonprincipal solution exists. A concrete example is given to illustrate the results.

Nepenthes Megastoma (Nepenthaceae), A Micro-Endemic Pitcher Plant From Puerto Princesa Subterranean River National Park, Palawan, Philippines, John Charles A. Altomonte, John Paul R. Collantes, Vernaluz Mangussad, Rene Alfred Anton Bustamante, Alastair S. Robinson

Environmental Science Faculty Publications

Nepenthes megastoma is described and illustrated as a new species from the Puerto Princesa Subterranean River National Park, a UNESCO World Heritage Site in Palawan Philippines. This carnivorous tropical pitcher plant is currently known from just three locations in the Mount Saint Paul karst formation, where it grows on vertical limestone walls. Morphologically, N. megastoma is characterised by its highly branched stems, campanulate pitchers, peltate tendril exsertion, dimorphic upper pitchers, and unidirectionally upturned female flowers. It is assessed as Critically Endangered under the IUCN Red List criteria, based on its restriction to three subpopulations comprising few total individuals. Pitcher morphology …

Life As An Intern For Njit Stem For Success, Christopher Tava

STEM Month

I joined the STEM for Success Team in May 2023 with two main goals. The first goal was to reach 100 hours worth of contributions, as part of a mandatory internship requirement to graduate from the Academy for Mathematics, Science, & Engineering (AMSE). I reached that goal by early October 2023, although I have been motivated to continue my work with NJIT beyond that hour target. The second goal was to accomplish something that I was proud of with the resources that the New Jersey Institute of Technology (NJIT) provided me. I had heard of former students of AMSE that …

Spatial Patterns Of Salamander Density Across Human Disturbance Gradients In Warner Parks​, Siobhan M. Day

Science University Research Symposium (SURS)

Amphibians are sensitive to anthropogenic disturbance, making them valuable indicators of recreational impacts in urban parks. This study examines salamander occurrence across five research sites within Warner Parks, Nashville, Tennessee, which differ in trail density and foot traffic intensity. Salamander observations were compiled from two sources: field surveys conducted in Summer 2025 and iNaturalist records spanning the past 10 years. For spatial analysis, each site was defined by a 200 m radius buffer to include local habitat, and trail networks were further buffered at 10 m, 25 m, and 50 m to quantify salamander occurrence relative to trail proximity using …

Postmortem Vitreous Humor As An Alternative Matrix To Peripheral Blood For Benzodiazepine Detection, Sara Bussey

Honors Theses

Benzodiazepines are commonly prescribed secondary drugs of abuse that cause Central Nervous System depression through the neurotransmitter gamma aminobutyric acid. While not commonly fatal on their own, benzodiazepines have a minor risk for physical dependence and abuse. They also can have cumulative effects with other medications that can lead to overdose situations; thus, they are considered secondary drugs of abuse. While peripheral blood is considered the standard for xenobiotic detection in postmortem forensic toxicology, it is important to consider the validity of alternative matrices that could be analyzed in the event that blood was not available due to circumstances like …

Developmental Effects On Zebrafish Embryos Exposed To Alcohol, Tamya Mchaney

Science University Research Symposium (SURS)

Zebrafish are a good organism model due to their similarities with human biology. The transparency of their embryos allows for an easier view to see the developmental stages of the embryos, and easily and accurately note any mutations or defects in any of the embryos. In addition, they make excellent candidates to track potential effects that mirror human embryos with ethanol and alcohol will have on their developmental stages. The aim of this study was to measure the genetic size developmental differences of the embryo’s lens, eyes, and heart that are given 1% alcohol and 2% alcohol. This study’s experimental …

The Effect Of Leaf Composition And Structure On Decomposition Rates In Primula Sp. And Allium Schoenoparsum, Tatum P. Fortney, Kidist Aklile, Matty Mackay, Solomon Kap

Science University Research Symposium (SURS)

Decomposition is the process by which dead organic matter is broken down by bacteria and fungi. Leaves are a prominent form of organic matter that decomposes and enriches soil by returning nutrients. In this experiment, chive and primrose leaves were investigated. Chive leaves are thinner and softer, while primrose leaves are thicker and more dense, supporting our hypothesis that Chive leaf litter will decompose faster than primrose leaf litter because chives have a lower lignin content and are structurally narrower, making them easier to decompose. For this experiment, we placed around 4 grams of both species into a series of …

The Effect Of Leaf Composition And Structure On Decomposition Rates In Primula Sp. And Allium Schoenoparsum, Tatum P. Fortney, Darlene Panvini, Kidist Aklile, Matty Mackay, Solomon Kap

Science University Research Symposium (SURS)

Decomposition is the process by which dead organic matter is broken down by bacteria and fungi. Leaves are a prominent form of organic matter that decomposes and enriches soil by returning nutrients. In this experiment, chive and primrose leaves were investigated. Chive leaves are thinner and softer, while primrose leaves are thicker and more dense, supporting our hypothesis that Chive leaf litter will decompose faster than primrose leaf litter because chives have a lower lignin content and are structurally narrower, making them easier to decompose. For this experiment, we placed around 4 grams of both species into a series of …

Evaluating The Effects Of Water Quality And Anthropogenic Disturbance On Salamander Species Diversity, Abundance And Health In Warner Parks, Tatum P. Fortney, Chase Kinsey

Science University Research Symposium (SURS)

Salamanders utilize cutaneous respiration, making them vulnerable to pollution, shifts in water chemistry, and habitat degradation. Increased anthropogenic habitat use may be a detriment to local salamander populations and pollution increases with land use. Understanding how water quality influences salamander abundance, diversity and physiological condition is crucial for amphibian conservation and for assessing freshwater ecosystem health, as they serve as a key bioindicator species. The objective of this study was to examine how variation in water quality parameters influences salamander species abundance, diversity and locomotor performance across stream sites within Warner Parks in Nashville, Tennessee. Field sampling was conducted weekly …

Synthesis And Characterization Of Eco-Engineered Hollow Fe2o3/Carbon Nanocomposite Spheres: Evaluating Structural, Optical, Antibacterial, And Lead Adsorption Properties, Islam Gomaa, Nikita Yushin, Mekki Bayachou, Vojislav Stani´, Inga Zinicovscaia

Chemistry Faculty Publications

This work presents a facile mechano-thermal route for the synthesis of carbon-decorated, hollow, mesoporous alpha-Fe2O3 microspheres. Comprehensive characterization (XRD, XPS, FT-IR, SEM/EDX, TGA, zeta-potential) confirmed the formation of phase-pure hematite with nanoscale crystallites (similar to 19 nm), substantial residual surface carbon (similar to 40 wt%) consistent with Fe-O-C linkages, and a positive surface charge (+15.9 mV). The hierarchical hollow/mesoporous architecture enables fast ion transport and provides extensive interior binding sites, resulting in rapid Pb(II) uptake that reaches 92% removal in approximate to 15 min at pH 5.0. The adsorption follows a Langmuir isotherm (q(max) approximate to 70.6 mg/g) and pseudo-second-order …

Locations Of Outfalls In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly M. Kibler, Melinda J. Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_Outfalls_IRL_LWL.shp was created under grants from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL).

The dataset presented here includes the location of outfalls identified throughout the study region and general characteristics of the shoreline where they were identified.

Seagrass Persistence In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly Kibler, Melinda Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_seagrasspersistence_IRL_LWL.shp was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL). The dataset presented herein represents persistence of seagrass throughout waters of the IRL and LWL.

Correcting Class Imbalance Through Synthetic Training Data And 3d Modeling For Carabid Pitfall Trap Sampling, Blair Mirka

Geography ETDs

Crowdsourced biodiversity data provide an accessible foundation for large-scale ecological monitoring, but class imbalance limits automated species identification, particularly for rare taxa. This research explores the use of synthetic training data generated from 3D models of carabid beetle museum specimens to improve detection and classification performance for underrepresented species in crowdsourced datasets. High-resolution 3D models were created to simulate variation in lighting, orientation, and background. These synthetic images were incorporated into convolutional neural network training datasets at varying synthetic-to-real ratios to assess their impact on classification accuracy. Models were evaluated using controlled pitfall-trap imagery to examine the influence of scene …

Data-Driven Modeling Of Dynamics And Adaptation In Mapk Pathway, Elisha Erzoah, Maria Emelianenko, Mariaelena Pierobon

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kyda] Biologically Grounded Surrogate-Driven Parameter Inference For Sparsely Observed Dynamical Systems, Joshua C. Macdonald

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Code, Paper, Scissors: What To Cut In The Age Of Ai, Dmitry Kondrashov

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kyda] The Behavioral Spillover Effect: Modeling Behavioral Interdependencies In Multi-Pathogen Dynamics, Leah Lejeune, Omar Saucedo, Lauren M. Childs, Navid Ghaffarzadegan

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Delayed Adaptive Behavior Modulates Waves In Epidemic Models, Md Shahriar Mahmud, Solomon Eshun, Claus Kadelka, Baltazar Espinoza

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.