Digital Commons Network^™

Trophic Structure Of Reef-Fish Assemblages In The Eastern Gulf Of Mexico Varies By Depth And Reef Type, Jessica L. Van Vaerenbergh

USF Tampa Graduate Theses and Dissertations

Globally, marine ecosystems are increasingly threatened by anthropogenic stressors, leading to reef degradation, changes in reef-fish assemblages, and altered trophic structure. In this study, I investigated reef-fish underwater visual survey data collected over a decade (2013-2023) from paired natural and artificial reefs in the eastern Gulf of Mexico. I applied the novel Normalized Reef Status Index (NRSI) to evaluate how biomass was distributed across the three trophic categories (i.e., Lower Trophic Position (LTP; 2.0-2.9), Central Trophic Position (CTP; 3.0-3.9), and Upper Trophic Position (UTP; ≥4.0). This index is a metric to assess the ecological status of reef systems by investigating …

Development And Evaluation Of The East Florida Coastal Ocean Model (Efcom), Orion B. Scharton-Witmer

USF Tampa Graduate Theses and Dissertations

Florida’s Atlantic coast has abundant resources in beaches, state parks, aquatic preserves, and wildlife refuges as well as densely populated coastal cities in low lying areas that are all subjected to natural disaster threats from the oceans. There is an urgent need for a high-resolution coastal ocean circulation model for this region. Based on the application of the Finite Volume Community Ocean Model (FVCOM), an East Florida Coastal Ocean Model (EFCOM) is developed, downscaling from the deep ocean, across the continental shelf, and into the estuaries. It employs an unstructured grid with horizontal resolution varying from 3 kilometers at the …

A System Dynamics Perspective Of User Adaptation: The Case Of Exoskeleton Technology, Enzo Novi Migliano

USF Tampa Graduate Theses and Dissertations

Technology implementation is a common occurrence in organizations to which workers must adapt. Although research on workers' technology acceptance is widely spread, research on the workers' technology adaptation process is less represented in the literature. The discrepancy in the literature permeates research on new technologies currently being implemented in organizations, such as occupational exoskeletons. As in other technologies, the variance research perspective dominates the literature on exoskeleton implementations. The current thesis aims to foster process research by formalizing the coping model of user adaptation (Beaudry & Pinsonneault, 2005) and exploring research questions regarding workers' adaptation to general technology and exoskeletons. …

A Portable Device To Elicit Sensory Trick And Monitor Forearm Muscle Activity In Pianists With Musician’S Dystonia, Josef Franczak

USF Tampa Graduate Theses and Dissertations

Musician’s Dystonia (MD) is a condition that can be acquired in professional musicians,causing involuntary contractions and the loss of fine motor control. The most common pharmaceutical treatment, botulinum toxin injections, has been shown to have side effects of muscle weakness and atrophy. The sensory trick, shown to temporarily relieve symptoms of dystonia, has potential to be used as an alternative or alongside current therapies, allowing patients with MD to return to playing music professionally. To systematically deploy the sensory trick and monitor forearm muscle activity, the first prototype of the Wearable Sensorimotor Integrator (wSMI) has been developed.

The wSMI is …

An Induction Cooking Hob, Alex Viroli, Valerio Verdoliva, Ricardo Morgado, Filippo Milanesi, Nicola Valpiani, Massimo Zangoli

Defensive Publications Series

The disclosure relates to an induction cooking hob (1) comprising at least one cooking area (2,3) being defined by having three induction coils (4,5,6), wherein in the respective cooking area (2,3) has a row-shape, and wherein the three induction coils (4,5,6) each are associated to an interaction area (7) having a particular size (8,9). The size (8) of one induction coil (4) is larger than the size (9) of the other two induction coils (5,6) of that respective cooking area (2,3). The induction cooking hob proposed here enables cost-efficient and energy-efficient use thanks to optimized magnetic coupling.

Modular Design For Reliable Gigawatt Datacenter Campus, N/A

Defensive Publications Series

The present publication describes an automated switching methodology designed to enhance operational reliability and availability in large-scale computing facilities based on varying power contingency counts. By accounting for variables such as the total count of utility lines, individual line capacity, and specific backup power targets, the system dynamically determines optimal backup power utilization. This approach utilizes combinations of battery energy storage systems and onsite generation tailored to different contingency scenarios. The strategy reduces upfront infrastructure investments by avoiding the over-provisioning of backup power capacity.

Keywords: Automated Switching, Datacenter Power Management, Contingency Planning, Backup Generation, Battery Energy Storage Systems, Infrastructure Optimization.

Latent Temporal Reasoning In Multimodal Llms Using Specialized Time-Gap Tokens And Spatiotemporal Saliency Pruning, Tamar Yakar, Ilia Labzovsky

Defensive Publications Series

This disclosure describes a system for helping Artificial Intelligence (AI) models , such as foundation models, generative AI, or large language models (LLMs), watch and understand continuous video streams or non-stop broadcasts without exceeding their context window or losing track of time. Normally, AI models have a limited memory (context window) and can suffer from temporal hallucination, becoming confused about when events occurred if large portions of an uninterrupted video are skipped. The system solves temporal hallucinations by using a dynamic saliency transformer acting as a smart filter to remove boring, low saliency, or repetitive parts of a video based …

Technical Disclosure: System Architecture For Non-Equilibrium Material Synthesis: An Applied Framework For Soliton Restructuring And Boundary Layer Phase Modulation, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes a deterministic field theory and system architecture for altering localized material states without traditional macroscopic thermal melting or brute-force nuclear kinetic bombardment. By leveraging the bulk-to-boundary duality established in Document #11829, this method manipulates matter at the fundamental 2D Conformal Substrate layer.

By applying localized electromagnetic and acoustic phase modulations, this architecture systematically alters the coordinate z-axis mapping of existing soliton excitations (particles). This forces localized matter to safely and precisely restructure its atomic configuration via non-equilibrium thermal phase space dynamics.

Key Technical Nomenclature

• Substruction: The technical process of isolating, reading, and interacting with the underlying 2D …

Technical Disclosure: A Unified Planetary Scale Architecture For Non-Equilibrium Thermodynamics, Cryptographic Governance, And Automated Labor Sovereignty, Christopher L. Eckes

Defensive Publications Series

This disclosure details a unified macro-system architecture designed to facilitate, manage, and scale the physical, administrative, and labor operations of a planetary-scale infrastructure array. Current technological ecosystems are fundamentally bottlenecked by active thermal throttling, localized supply-chain speculation, and closed digital rights management (DRM) frameworks that fragment development.

This multi-domain framework resolves these limitations through a three-layer topology:

1. The Physical Layer: Passive geometric routing of multi-variant heat-flux fields, non-chemical acoustic standing-wave cellular matrices, and turbine-free direct-loop magnetohydrodynamic (MHD) induction.
2. The Coordination Layer: Zero-knowledge edge-confined cognitive scaffolding, non-fiat logistical hypergraphs (M-EHN), and transparent game-theoretic defensive de-escalation matrices.
3. The Execution Layer: Open-standard computer-aided …

Systemic Integration Of Lifelong Agentic Mentorship, Contextual Scaffolding, And Sovereign Guardian Protocols In K-12 Pedagogy, Christopher L. Eckes

Defensive Publications Series

This specification details the architecture for a non-centralized, lifelong educational operating system that integrates machine learning as an individualized cognitive accelerator, psychometric auditor, and sovereign security layer. This protocol systematically replaces age-segregated, standardized instructional rotations with an immutable Dual-Focus Baseline Matrix paired with a localized Lifelong Cognitive Mentor.

By tracking an individual's development continuously from the primary entry point (K-1) through adulthood, the system implements Probabilistic Scaffolding—balancing automated aptitude mapping with deliberately engineered "negative learning" spaces. Furthermore, it incorporates an active Guardian Sensor Layerutilizing real-time linguistic and behavioral anomaly detection to insulate the child from predatory coercion and manipulative algorithm …

Contribution Of Animals To Biomedical Advancements In The Current Era: A Narrative Review, Leena Rajathy Port Louis, Mani Rajarathinam, Prithiviraj Nagarajan, Divya Sekar, Nisha Perumal

The Thai Journal of Pharmaceutical Sciences

Animal research has played a major role in the development of vaccinations and therapies for illnesses such as tetanus, polio, meningitis, hepatitis, and Severe Acute Respiratory Syndrome Coronavirus 2. For every prescription drug available today, animal testing and research have contributed immensely. This narrative review aims to explore the contribution of animals to biomedical advancements in the current era, which involved a search of peer-reviewed literature using electronic databases such as Scopus, Web of Science, and PubMed. In current biomedical research, animals help develop new treatments for long-term illnesses such as cancer, HIV, and Alzheimer’s. Animals also aid in the …

Microwave-Assisted Extraction Optimization And Bioactivity Assessment Of Flavonoid-Rich Extract From Lantana Camara L. Leaves In Zebrafish Epilepsy Model, Prem Kumar B R, Shwetha Krishnamurthy, Gouri Nair, Sundara Saravanan Kamatchi

The Thai Journal of Pharmaceutical Sciences

Background: Lantana camara L. (Verbanaceae) is known for its bioactive compounds and has been reported for its potential therapeutic applications. Flavonoids from natural sources are acknowledged for their antioxidant and neuroprotective properties, suggesting a possible role in seizure management.
Objectives: This study intended to optimize the microwaveassisted extraction (MAE) of flavonoid-rich extract from L. camara L. leaves utilizing a designof- experiment approach and evaluate its antiepileptic property using the zebrafish model.
Materials and Methods: Four solvents (ethyl acetate, acetone, ethanol, and water) were initially used, with ethanol yielding the highest total flavonoid content (TFC). A central composite design was employed …

Some New Oscillatory Behavior Of Higher-Order Elliptic Partial Differential Equations, S. Priyadharshini, V. Sadhasivam, Samrajesh Mault, K. K. Viswanathan

Mansoura Engineering Journal

The main objective of this study is to investigate the new adequate conditions for oscillation of higher-order elliptic partial differential equations by using the Riccati transformation and integral average method. The Riccati transformation converts a nonlinear first order Riccati differential equation into a second order linear ordinary differential equation, enabling solution via standard linear methods followed by inversion. Our plan of action is to reduce the multidimensional problem to an ordinary differential problem by using Jensen's inequality. Elliptic partial differential equations are used in almost every field of mathematics and physics, including Lie theory, geometry, and harmonic analysis. An elliptic …

Adaptative And Structured Optimization Stockwell Transform For Robust Power-Quality Disturbances Detection, Moudjibatou Afoda, Séna Apeke, Filippo Gatti, Alessio Iovine, Léonce W. Tokam, Guy M. Toche Tchio, Ouro-Djobo S. Sanoussi

Mansoura Engineering Journal

The monitoring of electrical power quality requires advanced analysis techniques capable of accurately detecting and localizing non-stationary disturbances. This work proposes a structured and adaptive optimization of the Stockwell Transform (ST), referred to as Two-Power Optimization (TPO). A multiparametric Gaussian window governed by four parameters (m, p, k, r), is introduced, and a genetic algorithm is applied independently to each signal to optimize these parameters. The optimization process adapts the analysis scale to the local characteristics of the signal while preserving the physical consistency of the window function. Simulation results on synthetic power quality signals demonstrate that the proposed method …

Finite Element Modelling On A Non-Linear Radiative Hybrid Nanofluid Flowing Through A Rotating Disk, N. Janaki Phani Madhuri, Md. Shamshuddin

Mansoura Engineering Journal

This study develops a finite element model to investigate the MHD flow and heat transfer phenomena of Cu–H₂O and Cu–Fe₃O₄–H₂O hybrid nanofluids flow across a spinning disk modelling by the Tiwari–Das model. The governing non-dimensional momentum and energy equations account for the effects of buoyancy, nonlinear radiation, and ohmic heating. The nonlinear coupled system is solved with the element method (FEM) to find the velocity and temperature fields. Parametric studies will investigate the effects of the magnetic field, buoyancy, volume fraction of nanoparticles, and radiation. Skin friction and Nusselt number are also reported. The results show that with the hybrid …

Bridging Machine Learning And Climate Futures: A Framework For Explainable, Self-Directed (Agentic) Ai Models In Monitoring, Mitigation, And Governance Of Anthropogenic Climate Impacts, Vijayanandh Rajamanickam, Ketaki Kulkarni, Vishwanadham Mandala, Ozgur Kisi

Mansoura Engineering Journal

Environmental and societal damage due to anthropogenic climate change demands detection and mitigation strategies that are both effective and accountable. Machine Learning (ML) appears to offer a powerful set of tools but remains unexploited in these areas. A key barrier remains its poor ability to draw causal inferences about external systems, an essential requirement for meaningful continued monitoring, acting on, and shaping of the climate. Explainable, self-directed learned models operate by attributing environmental changes and deciding how best to model the resulting dynamics—they offer a natural solution. Recent developments in computational ecology, meteorology, and ML are combined to propose a …

The Helical Transmutation Manifest: A Field Theory Of 2d Membrane Information Substruction, Coordinate Z-Axis Mapping, And Thermal Phase Space Dynamics, Christopher L. Eckes

Defensive Publications Series

This paper presents a novel, non-perturbative topological field theory that unifies quantum mechanics, thermodynamics, and gravitation by redefining physical matter as emergent geometric structures from a lower-dimensional informational substrate. We postulate that the universe's fundamental baseline is a two-sided, non-orientable 2D informational membrane situated at the boundary z = 0. Using a newly defined Helical Transmutation Operator (\(\^{\mathcal{T}}\)), flat, complex probability densities are projected into a 3D+ runtime environment as continuous physical trajectories exhibiting helical geometries. By factoring in an independent spatial z-axis, we derive a geometric origin for gravitational mass-energy membrane tension and identify antimatter as a mirrored, left-handed …

Knowledge, Attitude, And Practice Regarding Vitamin D Among Adults In Western Libya: Assessment And Socio-Demographic Influences, Abdounasser Albasher Omar, Kawther Adaila, Mofida M. Alfaid, Abdurrahman M Sweidan, Ruqayah Kasheem, Samia Emhemmed Abadi, Abdulnabi Ali Abushita, Hafsa A. Alemam

Al-Bahir

Vitamin D deficiency is a widespread public health concern, necessitating a clear understanding of knowledge, attitudes, and practices (KAP) among populations. Therefore, this study was conducted to assess Libyan citizens' knowledge, attitude, and practice (KAP) regarding vitamin D in the western region of Libya. This study was carried out between June and September of 2021. A questionnaire was distributed across the study area and the complete responses were 314, with 62.7% were females and 37.3% were males.  The scores were calculated as percentages and statistically tested. Additionally, the impact of some socio-demographic factors (age, gender, education level, job, and salary) …

2026 June 18 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Prediction Of Furniture Exports In Türkiye Using Machine Learning Methods, İlker Akyüz, Nadi̇r Ersen, Ti̇muçi̇n Bardak, Selahatti̇n Bardak

Turkish Journal of Agriculture and Forestry

In this study, it was aimed to predict Türkiye’s furniture exports for the period from January 2010 to May 2025 using machine learning methods based on macroeconomic indicators. The dataset consisted of 10 economic variables, including the furniture industry production index, capacity utilization rate, import volume, total exports, real effective exchange rate, producer price index, money supply, and oil prices, with 185 observations per variable and a total of 2035 data points. During the data preprocessing phase, no missing or outlier values were detected, and the data were divided into 70% training and 30% testing subsets. Decision tree, random forest, …

A Modular Saponin Adjuvant Platform: Development, Structure–Activity Relationships, And Applications, Di Bai

ETDs from 2020-2029

ABSTRACT Saponin-based vaccine adjuvants have attracted considerable attention owing to the clinical success of QS-21, a potent immunostimulant capable of inducing balanced humoral and cellular immune responses, yet its widespread application is limited by supply constraints, chemical instability, and dose-dependent toxicity. To address these challenges, we previously developed two semisynthetic saponin adjuvants, VSA-1 and VSA-2, derived from abundant Momordica saponins through a single-step modification, which exhibit QS-21–comparable immunopotentiating activity with improved accessibility and stability. Here, we first performed a systematic structure–activity relationship (SAR) study of the VSA series using MS I as the lead scaffold. Modulation of the side-chain length …

Investigation Of Air Emissions With A Local Composites Industry, Chris White

ETDs from 2020-2029

Workers at an office space raised complaints about a sweet-smelling odor directly outside their building. After an initial assessment of the surrounding businesses and their processes, it was determined that the workers were most likely exposed to styrene emissions from a nearby composites company. This investigation utilizes multiple weeks of direct readings with a photoionization device and active environmental sampling with a charcoal tube and pump to confirm the styrene exposure hypothesis. Weather trends were also recorded to determine correlation between weather and exposure to the sweet-smelling chemical. The direct readings found an exposure maximum of less than 2 ppm …

Statistical Methods For Mendelian Randomization Under Nonlinearity And Non-Normality, Mary Appah

ETDs from 2020-2029

Instrumental variable (IV) methods are widely used for estimating causal effects in observational studies where unmeasured confounding may bias traditional regression estimates. The core idea is to use a variable referred to as an instrument that is associated with the exposure of interest, independent of unmeasured confounders, and influences the outcome only through the exposure. While originally developed in econometrics, IV methods have been increasingly adopted in epidemiology and genetic research under the framework of Mendelian Randomization (MR), where genetic variants, most commonly single nucleotide polymorphisms (SNPs), serve as instruments. MR provides a powerful tool for investigating causal relationships between …

From Cork To Coasting: A Multi-Stage Ode Model Of Water-Rocket Flight, Viktoria Savatorova, Patryk Kustra, Ethan Dyer, Connor Carlson, Aleksei Talonov

CODEE Journal

Water rockets provide an affordable and engaging context for exploring applications of differential equations. Motivated by outreach activities conducted with undergraduate students, we develop a four-stage mathematical model of vertical water-rocket flight that is suitable for use in an ODE or mathematical modeling course. The model includes the cork-release phase, water-thrust propulsion, air-thrust propulsion with compressible and potentially choked flow, and the final ballistic stage with quadratic drag. While retaining key physical features, the model can be formulated as a system of ordinary differential equations that can be integrated numerically using tools familiar to students. We compare model predictions with …

Influence Of Crop Diversification On Climate Change Mitigation And Business Profitability: A Study Of The Southern Marmara Region, Türkiye, Engi̇n Tolga Önder, Nuray Demi̇r

Turkish Journal of Agriculture and Forestry

Crop diversification strategies are being put forward to mitigate the negative effects of climate change associated with greenhouse gas emissions, and thus to ensure sustainable food production that is resilient to climate change and to reduce the risks faced by producers. By diversifying their agricultural products producers can insure themselves against the risks associated with climate variations, disease, and pests, contributing to both continuous food production and income flow. The present study investigates the effect of climate change on enterprise income in the Yenişehir district of Bursa province – a region noted for its intensive production of vegetables and other …

Low Cost Lightning Localization At Microwave Frequencies, Bradley Glaubitz

Dissertations and Theses

High precision lightning localization is essential for atmospheric research and public safety, yet the high cost of traditional VLF/LF systems restricts high resolution detection primarily to well funded agencies. Furthermore, conventional low frequency receivers often overlook microwave frequency emissions associated with lightning leader development. This thesis proposes a compact, low cost microwave frequency localization system operating in the 1.42 GHz band to provide an accessible alternative for high resolution mapping. The methodology utilizes an ARM Cortex M0+ microcontroller and a triggered 64 MHz 32 bit counter synchronized to a GPS Pulse Per Second (PPS) signal, achieving a temporal resolution of …

Driving Innovation: Transatlantic Attitudes To The Bionics Bus As A Vehicle For Health Transformation And Stem Engagement, Christopher James, Sarang Shankar, Madeleine Dale, Bhathika Perera, Richard Laugharne, Matthew Allen, Maria Feijoo‐Renones, Rohit Shankar

Peninsula Medical School

Emerging mobile health and STEM engagement platforms are increasingly recognised as catalysts for improving public understanding of biomedical technologies and supporting digitally enabled models of healthcare delivery. The Bionics Bus (https://bionicsbus.org/) is a novel mobile laboratory designed to democratise access to robotics, artificial intelligence, prosthetics and digital diagnostics by delivering hands-on experiences directly to schools, communities and healthcare settings. This study provides the first transatlantic comparison of public attitudes toward the Bionics Bus within the United Kingdom and the United States of America (USA), two countries with contrasting healthcare systems and digital transformation priorities. Using a mixed-methods cross-sectional design, 78 …

Jnk Signaling Impacts Car-T Cell Effector Function, Charles Kuhlmann

ETDs from 2020-2029

The potent cytotoxic activity of T cells serves as a natural defense against cancers. Chimeric antigen receptor (CAR) T cell therapy represents a strategy for harnessing T cells against advanced tumors. CAR-T cell therapy has seen striking success against hematologic malignancies, prompting its application to new diseases. Ovarian cancer is a highly lethal disease characterized by frequent recurrence and aggressive nature, prompting the investigation of CAR-T cell therapy as a salvage regimen. However, like in other solid tumors, the early performance of CAR-T cell therapy in ovarian cancer is poor. While many strategies exist for improving the longevity of CAR-T …

Efficient Multimodal Foundation Model Tuning For Hallucination Mitigation, Fei Zhao

ETDs from 2020-2029

Over the past few years, multimodal foundation models have achieved remarkable progress in perception and understanding. However, two challenges limit their reliability: (1) dependence on offline training, which in most real-world settings requires large volumes of labeled data and, as a result, hinders the model’s ability to adapt to new data or domains; (2) weak cross-modal grounding, which often leads to hallucinated content generation, producing descriptions that are linguistically fluent but inconsistent with the input visual evidence. This dissertation frames hallucination mitigation as an outcome of transitioning from fixed learning (static, offline fine-tuning) to adaptive, feedback-driven lifelong learning. By incorporating …

Clinical Validation Of Tabpfn-2.5: Zero-Shot Performance, Data-Scarce Robustness, And Distilled Models For Real-Time Clinical Decision Support, Baraa Aljawawdeh

ETDs from 2020-2029

Accurate clinical risk prediction plays an important role in improving patient outcomes, particularly in perioperative settings where early intervention can influence care decisions. Although machine learning has shown promising results using electronic health record (EHR) data, its use in clinical practice is often limited by complex development processes, the need for hyperparameter tuning, and variability in performance across datasets. These challenges are especially relevant in data-scarce clinical settings. This thesis evaluates TabPFN-2.5, a transformer-based tabular foundation model designed to perform classification without dataset-specific training. The model was applied to two real-world perioperative prediction tasks: unplanned care escalation (UCE) following post-anesthesia …