Digital Commons Network^™

Fishy Tales: Behaviour Of Schooling Fish Escaping From Terns, Kees Hulsman, Gurudeo Anand Tularam

Marine Ornithology

The aim of this study is to develop a better understanding of seabird foraging behaviour and the anti-predator behaviour of their prey. Studies of seabirds’ foraging and prey-capture behaviour, as it relates to the evasive and escape behaviour of schooling fish, are sparse. Our study was carried out at One Tree Reef on the southern end of the Great Barrier Reef, Australia. A school of hardyheads Pranesus capricornensis sheltered in the shallows over the sand flats in front of the research station for 14 non-consecutive days. In that time, Lesser Crested Terns Thalasseus bengalensis were observed for 10 hours from …

Wedge-Tailed Shearwater Ardenna Pacifica Fallout Patterns Inform Targeted Management, Brooke Friswold, Keith Swindle, David Hyrenbach, Melissa R. Price

Marine Ornithology

Seabird fledglings are often attracted to artificial, bright lights, leading to their grounding. This phenomenon is termed “fallout” and is associated with an increased risk of mortality from land-based threats. This study evaluated temporal trends and spatial factors, such as fallout clustering near lights and proximity to colonies, to inform targeted management actions. Standardized surveys were conducted from 2002 to 2010 for Wedge-tailed Shearwater Ardenna pacifica (WTSH) fallout on the island of O‘ahu, Hawai‘i, USA. First, yearly fallout counts along the transect showed a two-year cycle and identified 25 November as the date with the highest fallout across years. Second, …

Mode Engineering And Functional Enhancement In Piezoelectric-On-Silicon Mems Resonators With Magnetic Field Sensing Applications, Ugur Guneroglu

USF Tampa Graduate Theses and Dissertations

This dissertation significantly advances the field of micro-electro-mechanical systems (MEMS) resonators by exploring novel post-fabrication tuning techniques, electrode configuration effects, and innovative sensor applications for thin-film piezoelectric-on-silicon (TPoS) resonator devices. Driven by the increasing demand for tunable, high-precision and robust MEMS resonators in radio frequency (RF) applications such as sensing, timing, and filtering, this research aim to provide foundational knowledge and practical solutions for overcoming existing technological limitations. The dissertation is organized into three main research thrusts, each addressing critical challenges and opportunities in the design, fabrication, and application of TPoS MEMS resonators.

The first research thrust investigates an innovative …

Concentration And Composition Of Organic Contaminants In Blackfin Tuna, Yellowfin Tuna, And The Common Clubhook Squid In The Western Gulf Of Mexico, Lisa Rose-Mann

USF Tampa Graduate Theses and Dissertations

Cephalopods are an important component of pelagic food webs. They play ecological roles not only as predators but also as prey. However, their role as prey in the trophic transfer of organic contaminants to apex predators such as tunas in the Gulf of Mexico (GoM) is not well known. To investigate the importance of cephalopods in tuna diets, stomach samples were collected in February 2020 from tunas caught by rod and reel aboard the F/V Gulf Eagle near two large offshore floating oil/gas platforms in the northwestern GoM. Cephalopod samples were obtained from gut content analysis of 41 tunas caught …

Representation And Visualization Of Multivariate Sensory Time Series Data, Ismail Uysal, Alla Abdella

USF Patents

In accordance with some embodiments, systems, methods, and media for processing and representing multivariate sensor information gathered from multiple sources are provided. In some embodiments, the method comprises: receiving a data sequences from respective sources; identifying a shortest data sequence that corresponds to a first interval; calculating, for pairs of data sequences, a similarity value over the first interval; forming a first segment of a representative data sequence that is a weighted combination of the data sequences over the first interval based on similarity values associated with the data sequences; truncating at least a subset of data sequences to exclude …

Exploring System Identification Of Non-Linear Dynamics Using The Weighted Composition Operator And The Liouville Operator, Chukwuebuka Amagwula

USF Tampa Graduate Theses and Dissertations

System identification is the process of determining mathematical models that describe the dynamics of a system from data. Dynamic Mode Decomposition (DMD) and Sparse Identification of Nonlinear Dynamical Systems (SINDy) are two distinct approaches used for this purpose.

DMD identifies dominant spatiotemporal modes and eigenvalues that describe the evo lution of a system. It assumes a near-linear representation of dynamics and is closely linked to the Koopman operator, making it ideal for analyzing fluid flows, oscillatory systems, and modal structures. The DMD method uses time series data where each data point is referred to as a snapshot and represents the …

Causes And Effects Of Science Tutor Attrition At The Colleges Of Education In The Northern Zone Of Ghana: A Qualitative Study, Collins D. Amadu, Rose Dognia, Solomon Boachie, Taarique-Ahmad Yahaya

Journal of Global Education and Research

The study investigated the causes and effects of science tutor attrition in the colleges of education in the Northern Zone of Ghana. Three science and mathematics colleges were used for the study. The study adopted a qualitative approach with 9 participants who volunteered to take part. The interview guide was the sole instrument for data collection. The interviews were conducted through face-to-face and phone calls. The recorded conversations were transcribed and categorized into themes. The study found that the science tutor attrition rate was caused by several factors. These factors could be grouped into unmet expectations of the tutors and …

Effectiveness Of Digital Learning Materials On Students' Achievement In Science: A Meta-Analysis, Bingo L. Aligo, Maricar S. Prudente

Journal of Global Education and Research

Researchers have been examining educational resources and content to enhance and support the learning experience. As technology continues to transform the way we learn and access information, digital learning materials have become increasingly popular in modern education. This study looked at how different kinds of digital learning materials affected science students’ learning achievement. The moderator variables used were grade level (kindergarten, primary, intermediate, and secondary), subject (biological sciences, general science, and physical sciences), and length of exposure (1 to 3 weeks, 4 to 6 weeks, and 10 to 12 weeks). A total of 14 studies were considered, involving 789 students …

Beyond The Hype: The Fundamental Challenges Of Machine Learning-Based Android Malware Detection In Cybersecurity, Guojun Liu

USF Tampa Graduate Theses and Dissertations

Machine learning (ML) algorithms have achieved remarkable success across various domains, including cybersecurity. Inspired by these advancements, the academic security community has explored numerous ML-based approaches for Android malware detection. While ML holds significant promise in this domain, its practical deployment faces substantial challenges, including data collection, feature selection, app representation across different models, performance instability across datasets, and inherent limitations of learning-based malware detection. These challenges can lead to overly optimistic detection results and weaken the reliability of malware detection frameworks.

Android malware detection has been extensively studied using both traditional ML and deep learning (DL) approaches. Although many …

Phosphorus: From The Origins Of Life To The Origin Of An Industry, Joshua Abbatiello

USF Tampa Graduate Theses and Dissertations

The element phosphorus is a key biogenic element that is often the limiting reagent for life. Phosphorus is quickly bound by metal divalent cations making it virtually insoluble and inert in water (forming the phosphate mineral apatite). Due to this, it becomes imperative to understand alternative pathways to increase biogenically available phosphorus in environments. To that end, this dissertation involved examining olivine as an alternative source of phosphorus to apatite, analyzing a novel grain of iron silicide found via lightning reduction in a fulgurite, and finally sought to understand the impact of phosphate mining through phosphogypsum stacks. Olivine is a …

Corrosion Mitigation And Monitoring Of Bridge Tendons And Failure Forecasting Of Wastewater Force Mains, Stanley Chike Agbakansi

USF Tampa Graduate Theses and Dissertations

Corrosion remains a significant threat to civil infrastructure, resulting in costly repairsand potential structural failures. This dissertation addresses three critical aspects of corrosion: mitigation and monitoring of post-tensioned bridge tendons, and failure forecasting of wastewater force mains due to internal corrosion.

First, the research investigates the effectiveness of corrosion inhibitors (CIs) applied via pressure injection (impregnation) in post-tensioned tendons. The protective mechanisms and long-term performance of various inhibitors were evaluated to identify the most effective formulations. Among the tested inhibitors, MCI-2020 — a water-based, migratory, mixed-type corrosion inhibitor — demonstrated the most promising results, showing excellent corrosion protection while preserving …

The Synthesis Of A Photo-Affinity Probe Library For The Fatty Acid Amide Proteome And The Endocannabinoid System Within, Robert E. Feeney Iii

USF Tampa Graduate Theses and Dissertations

Fatty acid amides are a large family of endogenous metabolites with significant biological activity, including that of the endocannabinoid system. Currently little is known about how this system of tightly regulated compounds works within humans. This work lays the foundation to explore the structure-activity relationship driving the selectivity of ligand-protein interactions involved with fatty acid amides. A library of activity-based proteomic profiling probes for fatty acid amides has been synthesized to this end. Additionally, progress towards phytocannabinoid probes has been made as well.

The "N" Framework: A Teacher Knowledge Framework For Numeracy Across The Curriculum, Kathy O'Sullivan, Niamh O'Meara, Merrilyn Goos, Paul Conway

Numeracy

Governments and policymakers around the world are encouraging teachers to teach numeracy across the curriculum. This paper proposes a theoretical framework for the knowledge required to teach numeracy across multiple disciplines. The concept of teacher knowledge is complex and consists of many different facets of knowledge. This paper proposes a framework that integrates theories from existing models of general and subject specific teacher knowledge, along with a model of numeracy. The authors developed the "N" framework, an integrated framework of numeracy knowledge, subject specific knowledge, and pedagogical content knowledge. Each element is essential for teaching numeracy across the curriculum in …

An Exploratory Analysis Of Automated Deception Detection For Mental Health Applications, Sayde Leya King

USF Tampa Graduate Theses and Dissertations

Deception in mental health settings can undermine therapeutic relationships, compromise treatment efficacy, and impact patient outcomes. Yet, research shows that mental health clinicians often perform no better than chance at detecting deceptive behavior in therapy. Automated deception detection, leveraging artificial intelligence (AI) and multimodal behavioral cues—such as eye gaze, body gestures, and facial expressions—offers a promising alternative. However, most existing research focuses on high-stakes legal contexts, limiting its applicability to mental health settings.

This dissertation addresses this gap by pursuing three key research objectives using a mixed-methods approach. First, we investigate mental health clinicians’ perspectives on AI-assisted deception detection through …

Efficient Methods And Algorithms For Analyzing Stochastic Systems, Mohammad Ahmadi

USF Tampa Graduate Theses and Dissertations

This dissertation addresses the challenges of stochastic analysis of safety-critical systems with biological components, where unexpected behavior can lead to catastrophic events. Two fundamental challenges hinder the analysis of such systems: their typically large or infinite state spaces, and the extreme rarity of error states of interest. While Monte Carlo simulation can analyze biochemical systems without storing the state space, accurately estimating rare event probabilities becomes computationally prohibitive. Conversely, probabilistic model checking excels at analyzing extremely low probability events but becomes impractical for systems with large or infinite state spaces due to memory constraints.This work proposes two main contributions to …

Learning Analytics: An Innovative Technological Tool To Help Increase Student Retention And Graduation Rates In Us Higher Education Institutions, Fednold Thelisdort

USF Tampa Graduate Theses and Dissertations

Higher education institutions (HEIs) have embarked on a journey of innovation by adopting learning analytics (LA) in their operation, offering a more sustainable and innovative technological tool to increase student retention and graduation rates in US HEIs. LA, an emerging academic and technological tool, equips HEIs to gather, analyze, and interpret their students’ data. Since the publication of the first (conceptual) framework by Burke (2019), LA has matured into a research focus and practice, implemented in several institutional contexts at different scales and disciplinary/pedagogical contexts. This study explored the impact of the use of LA on student retention and graduation …

Isotopic Fingerprints Of The Coastal Margins: Tracing Dissolved Iron Sources From Land To Sea, Hannah R. Hunt

USF Tampa Graduate Theses and Dissertations

Dissolved iron (dFe) is an essential micronutrient for sustaining life in the surface ocean. Nearly four decades of research dedicated to understanding sources, cycling and biogeochemical modifications of Fe sources in the global oceans has generated a significant body of research supporting the idea that the concentration of Fe in the surface ocean exerts significant controls on primary production and carbon uptake in the surface ocean. Creation of the GEOTRACES program greatly increased the spatial and temporal resolution of high-quality trace element and trace element isotope data revealing new insights into the global Fe cycle, especially through the use of …

Applications Of Contracting Self-Similar Groups To Cryptography And Scale Groups, Arsalan Akram Malik

USF Tampa Graduate Theses and Dissertations

Given their peculiar properties, self-similar groups are of great interest both from applications and theoretical standpoints. In this work we study the scope of their applications in post-quantum cryptography and in constructing scale groups via lifting maps.

We propose self-similar contracting groups as a platform for cryptographic schemes based on simultaneous conjugacy search problem (SCSP). This class of groups admits fast polynomial-time algorithms for the word problem and element multiplication that can be used for effective encryption and decryption of messages. It contains extraordinary examples like the Grigorchuk group, which is known to be non-linear, thus making some of existing …

The Role Of Langmuir Circulation In Coastal Flows Driven By Wind, Waves And Tides, Thathsarani Dilini Herath Herath Mudiyanselage

USF Tampa Graduate Theses and Dissertations

Langmuir Circulation (LC) is a wind and wave-driven process and is a key driver of vertical mixing and transport in the ocean. In coastal shelf regions, LC can span the entire water column, linking surface and bottom boundary layers and amplifying turbulent mixing. However, the influence of LC on vertical mixing and cross-shelf transport in shallow, tidally forced coastal waters remains poorly understood. This dissertation addresses this knowledge gap by developing a novel modeling framework based on the Reynolds-Averaged Navier–Stokes (RANS) equations, offering a computationally efficient alternative to more resource-intensive Large Eddy Simulations (LES).

The proposed RANS-based approach is first …

Using Blockchain Technology To Help Secure America's Defense Critical Infrastructure, Vimal Buck, Aerin Krebs, Brynn Hillard, Jakob Gerha, Joseph Lutma, Srikar Maduposu, Ted Allen

Military Cyber Affairs

Critical water infrastructure in the United States faces increasing cybersecurity threats from state-sponsored actors, with potentially devastating consequences for national security, economic stability, and public health. (Cybersecurity and Infrastructure Security Agency, 2025). This infrastructure supports defense critical assets and is actively being targeted by various state-sponsored hacking groups, which poses a major concern for civilians and military alike. K. Herath (personal communication, February 24, 2025) reported being aware of two attacks on Ohio water systems during his tenure as Cybersecurity Strategic Advisor to Ohio Governor Mike DeWine.

Water is essential to everyday life and defense and presents as a high-value …

Quantifying Adversary Military Forces’ Susceptibility To Cognitive Attacks, Bonnie Rushing, Cole Nelson, Shouhuai Xu, Christofer “Raven” O’Keefe, Olga Karpoyan

Military Cyber Affairs

This paper introduces a method to quantify international populations’ susceptibility to cyber cognitive attacks using press freedom and media trust metrics. We present the Cognitive Influence Calculator, a tool that estimates susceptibility (𝑆) based on Press Freedom Scores (PFS) and media trust levels. Findings show that while authoritarian regimes are harder to reach, successful cognitive attacks have greater impacts due to higher trust in state-controlled narratives. Using U.S. wargaming data and international trust metrics, we compute susceptibility scores for the U.S., Russia, China, Iran, and North Korea. Results show an inverse relationship between PFS and media susceptibility, with local/allied …

On Some Hypergraph Coloring Algorithms, Boyoon Lee

USF Tampa Graduate Theses and Dissertations

Of a given bipartite graph G = (V, E), it is elementary to construct a bipartition in timeO(|V |+|E|). For a given k-graph H = H(k) with k ≥ 3 fixed, Lovász proved that deciding whether H is bipartite is NP-complete. In this thesis, we consider the average running time of this problem. For that, let B_n = (B^(k))_n be the collection (family) of all bipartite k-graphs H on the fixed vertex set [n] = {1, ...., n}. We construct, of a given H ∈ B_n, a bipartition in time averaging O(n^k) over the class B_n. We provide two proofs …

Transatlantic Forum On Cybersecurity, Nicolas Sabouret, Julien Signoles, Marbin Pazos Revilla

GNSI Conference Reports

On June 23, 2025, the Global and National Security Institute (GNSI) in partnership with the University of Paris-Saclay’s Graduate School of Computer Science, the Florida Center for Cybersecurity and the University of South Florida Bellini College of Artificial Intelligence, Cybersecurity and Computing held the Transatlantic Forum on Cybersecurity. This international virtual event brought together leading academics to examine some of the most pressing cybersecurity issues of today. Thought-provoking discussions touched on formal models for cybersecurity, network security and the implications and policies for evolving cybersecurity threats.

Algorithms Of Eversion: Contemporary States And Digital Sovereigns, James Libengood

USF Tampa Graduate Theses and Dissertations

The rapid development of artificial intelligence (AI), the internet of things (IoT), and digitization have pushed digital sovereignty to the top of the governance agenda in the 21st century. This notion is expanded upon in this work through seven chapters encompassing theoretical underpinnings, methodological frameworks, and real-world case studies. It shows how multinational corporations dominate digital coloniality, and how the merge of physical and digital reality or eversion poses challenges. The study compares contrasting governance approaches, such as the European Union’s General Data Protection Regulation (GDPR), geared to ethical AI and data protection, versus BRICS nations’ stance on data localization …

The Only Constant Is Change: The Role Of Genetic Diversification In Cancer And Beyond, Malgorzata Tyczynska Weh

USF Tampa Graduate Theses and Dissertations

Genetic diversification, the process by which genetic variation arises in a population, is fundamental to evolution by natural selection. Mutation, a central diversification process, fuels adaptation across species, including in cancer. Yet most new mutations are neutral or deleterious on cell fitness, raising the question of how mutation-driven adaptation persists. To explore this paradox, I developed a spatial agent-based model (ABM) in which population fitness emerges from individual cells acquiring mutations at varied rates and with diverse fitness effects. I evaluated model behavior across adaptive states, mutation rates, and distributions of fitness effects. The results show that high mutation rates …

The Epistemologization Of Scientific Knowledge: Scientific Textbooks And Education In The 18th And 19th Centuries, Brian P. Bieganski

USF Tampa Graduate Theses and Dissertations

Philosophy, despite its proclivities towards history and contextualization, often neglects to properly note various characteristics of ideas. In particular, there seems to be a kind of blindness to a key component of how ideas come into being: namely, the role of writing that leads to the preservation and transmission of ideas. Textbooks, for instance, are a key instrument for containing, disseminating, and archiving knowledge of a specific domain that can be used to introduce those complex concepts to newcomers and the unspecialized. As such, a textbook is an epistemic device used for transmitting a condensed constellation of ideas, concepts, formulas, …

First Insight On The Genesis Of Iron Oxide-Hydroxide Biospeleothems In Rancho Chico Lava Tube, Mexico, Rafael López-Martínez, Elizabeth Solleiro-Rebolledo, Rocio Alcántara-Hernández, Teresa Pi Puig, Sergey Sedov, Daisy Valera Fernández, M. Nayeli Luis-Vargas, Yasmany Lima Vera, Jesús Solé, Ramon Espinasa-Pereña

International Journal of Speleology

Iron is a common element in lava tube systems, typically observed as thin crusts or inferred from the reddish coloration of secondary mineral deposits. In this study, we describe iron oxide-hydroxide biospeleothems discovered in the Rancho Chico Lava Tube, located within the Xalapa Monogenetic Volcanic Field in Mexico. We adopt an integrative approach combining petrography, soil micromorphology, scanning electron microscopy, mineralogy, and 16S rRNA gene metabarcoding. DNA sequencing reveals the presence of microorganisms such as Acidithiobacillus, Gallionella, and members of the Leptospirillaceae family, which may be involved in the oxidation of Fe²⁺ within the lava tube. The source …

An Evaluation Of Check-In/Check-Out For Children With Emotional And Behavioral Disorders, Norma E. Guillen

USF Tampa Graduate Theses and Dissertations

Children with emotional and behavioral disorders (EBD) often display disruptive behavior that can hinder their learning and negatively affect the classroom environment. Check-in/Check-Out (CICO) is a Tier-2, evidence-based intervention designed to support children who have difficulty engaging in classroom activities and are at-risk of developing more severe challenging behavior. The primary goal of the intervention is to prevent the escalation of these behaviors and reduce the need for more intensive individualized interventions. However, limited research exists on the effectiveness of CICO for children with emotional and behavioral disorders (EBD). This study examined the effects of CICO on improving on-task behavior …

Sea Turtle Nesting On Nourished Beaches With Different Construction Designs: A Case Study In Southeast Florida, Usa., Lara Novalvos Hernandez

USF Tampa Graduate Theses and Dissertations

This study examines the influences of different beach nourishment designs and subsequent post-nourishment profile adjustments on loggerhead (Caretta caretta) and green (Chelonia mydas) sea turtles nest survival and reproductive success. Data on time-series post-nourishment beach-profile changes, positions and elevations of turtle tracks and nest/false-crawl apices, and sea turtle nest hatch/emergence success were collected on five high density nesting beaches along the east coast of Florida: Melbourne Beach, Jensen Beach, Jupiter Island Beach, Juno Beach, and South Hutchinson Island Beach. The field data collection was conducted in 2018, 2019, 2021, and 2022 with the main goal of documenting and comparing turtle …

Behavior And Land Use Of Eastern Gray Squirrels In Urban And Suburban Environments, Laura F. Engel

USF Tampa Graduate Theses and Dissertations

Urbanization has significantly altered natural habitats, impacting wildlife behavior and distribution. This study examines the behavior and land use of eastern gray squirrels (Sciurus carolinensis) in urban and suburban environments at the University of South Florida. Using a combination of point count surveys and time-activity budgets, squirrel presence was assessed in relation to tree genera, nest locations, human activity, and infrastructure. Results indicate a significant association between squirrel presence and tree genera, with a preference for Quercus species, as well as a strong positive correlation between human infrastructure and squirrel presence. However, no significant relationship was found between human presence …