Digital Commons Network^™

Uncertainty-Aware Estimation, Planning, And Control For Tracking Multiple Drifting Patches In Flow Fields, Daniel O. Akanji, Krishnanand N. Kaipa, Cong Wei

Mechanical & Aerospace Engineering Faculty Publications

In this study, we present a replay-based framework for uncertainty-aware persistent tracking of multiple advected surface patches using an autonomous marine vehicle operating in spatiotemporal-varying currents. The method combines three components: local flow estimation, covariance-aware patch-boundary propagation with intermittent boundary fusion, and mission-level scheduling over multiple patches. Each patch is represented by a polygonal boundary, whose vertices are propagated through the estimated flow field while carrying per-vertex covariance, thereby quantifying uncertainty growth during advection. A flow-aware gain-scheduled linear quadratic regulator (LQR) was designed to shape the desired surge speed to take advantage of favorable currents. When the vehicle services a …

Influence Of Motion Artifacts On Instantaneous Frequency Based Heart Rate Variability Of Arterial Pulse Signals Measured By A Tactile Sensor: An Analytical Study, Mamun Hasan, Zhili Hao

Mechanical & Aerospace Engineering Faculty Publications

Objective: Heart rate variability (HRV), quantified via the instantaneous frequency (IF) of arterial pulse signals, is a key indicator of cardiovascular (CV) regulation. This study presents a theoretical and experimental investigation of how motion artifacts (MA) influence IF-and thus HRVmeasured with a tactile sensor, emphasizing underlying mechanisms rather than population-level validation. Approach: Building on a previously developed single-degree-of-freedom (SDOF) model of the tissue-contact-sensor (TCS) stack between the sensor and the artery, MA is represented as low-frequency baseline drift and time-varying system parameters (TVSP) of the TCS stack. Analytical expressions quantify the effect of MA on the IF of each harmonic …

Mechanical-Medical Convergence In Heart Failure: Artificial Intelligence, Finite-Element Modeling, And 3d Printing For Diagnosis And Prognosis, Quazi Noor E. Sabrina, Quazi Md Zobaer Shah, Quazi Noor E. Sohela, Md Mahabub Hasan Mousum, Md. Moyeen Uddin Chisty, Quazi Md. Akbar Shah

Mechanical & Aerospace Engineering Faculty Publications

Heart failure remains a leading cause of global morbidity and mortality, yet routine clinical indices often miss the regional biomechanical disturbances that drive progression and shape treatment response. This State-of-the-Art review examines how finite-element (FE) modeling, additive manufacturing, and artificial intelligence (AI) are converging to improve the diagnosis, phenotyping, procedural planning, and prognostic assessment of heart failure (HF). Although these technologies have matured in structural heart disease and transcatheter intervention research, their greatest translational potential may lie in HF, where patient-specific ventricular remodeling, myocardial stress–strain heterogeneity, valve-ventricular coupling, and device-tissue interaction are incompletely captured by conventional clinical indices. We synthesize …

Code-Net++: An Attention-Guided Deep Learning Framework With Grad-Cam-Based Explainability For Covid-19 Detection Using Chest X-Ray Images, Fareesa Amina, Dr Krishnanaik Vankdoth

Mansoura Engineering Journal

Chest radiograph imaging has emerged as a practical and scalable diagnostic modality for respiratory diseases, including COVID-19. However, accurate discrimination of COVID-19 manifestations from other pulmonary abnormalities remains challenging because of low contrast, imaging noise, and overlapping radiographic patterns. This work presents CODE-NET++, an enhanced attention-guided deep learning framework with Grad-CAM-based explainability for reliable COVID-19 detection using chest X-ray images. The proposed framework integrates adaptive trilateral filtering for image enhancement, Reverse Edge Attention Network (RE-Net) for lesion-aware segmentation, and an Enhanced LinkNet architecture with dilated convolutions for multiscale feature extraction and classification. Grad-CAM-based explainable artificial intelligence visualization is incorporated to …

A Hybrid Object Detection And Temporal Attention Framework For Intelligent Video Surveillance, Sudheer Reddy Bandi, Eswari Vanaparthi, Yakshini Edapalli, Roshan Kavuri

Mansoura Engineering Journal

The rapid growth of urban areas has greatly heightened the need for smart video surveillance systems that can automatically process extensive amounts of CCTV footage. Traditional surveillance methods largely depend on human monitoring, which is not only inefficient but also susceptible to human mistakes, especially in intricate and crowded environments. To tackle these issues, this paper introduces a combined object detection and temporal attention for intelligent video surveillance that concurrently analyzes spatial and temporal data from video streams. The proposed system analyzes real-time CCTV footage utilising a multi-pathway frame extraction technique that includes slow, fast, and full-frame sampling to capture …

University Of Central Florida Graduate Catalog, 2025-2026, University Of Central Florida

UCF Catalogs

No abstract provided.

Ai-Supported Socratic Questioning And Instructional Scaffolding: Effects On Student Comprehension, Reshma John

All Electronic Theses and Dissertations

This literature review examines how the intentional use of artificial intelligence (AI) designed for Socratic questioning and instructional scaffolding affects students' comprehension of course content. The literature suggests that AI is most likely to support comprehension when it prompts students to explain their reasoning, respond to guided questions, reflect on their understanding, and receive support adapted to their needs. In contrast, systems that primarily provide direct answers may encourage overreliance and mask gaps in students' understanding. Overall, the educational value of AI depends less on its availability and more on how it is designed and implemented.

Radical-Based Oxidative Pretreatment Enhances Biofuel Production From Lignocellulosic Biomass Via Hydrothermal Liquefaction, João Vitor Dos Santos, Louis C. Bondurant, Patrick G. Hatcher

Chemistry & Biochemistry Faculty Publications

The sustainable production of biofuels from lignocellulosic biomass is a central goal in the transition to low-carbon energy systems. However, hydrothermal liquefaction (HTL), a promising thermochemical conversion pathway, is constrained by the high oxygen content and complex aromatic structure of lignin, which lowers bio-oil quality. Here, we used a model system of brown-rot-degraded white oak (Quercus alba) to test whether radical-based oxidative pretreatment could enhance HTL performance by converting lignin into more aliphatic intermediates. Oxidation was performed under simulated Fenton conditions using fixed Fe(II) (60 ppm) and two hydrogen peroxide concentrations (3 and 8 M), resulting in extensive lignin depolymerization …

Scanning Electron Microscopy As A Potential Tool For Distinguishing Charcoal From Dark, Oxidized, Biomass, João Vitor Dos Santos, Aleksandar I. Goranov, Lais Gomes Fregolente, Joao Marcos De Lima-Faria, Diego Stefani Teodoro Martinez, Patrick G. Hatcher

Chemistry & Biochemistry Faculty Publications

Condensed aromatic carbon (ConAC) is widely used as a proxy for organic materials derived from biomass burning. However, recent evidence shows that ConAC can be also formed through nonpyrogenic oxidative processes. This study presents a proof-of-concept investigation using scanning electron microscopy (SEM) to distinguish charcoal from dark, ConAC-rich materials produced by ambient oxidation of biomass. Pine wood exposed to long-term iron-mediated oxidation was compared with unaltered wood and a controlled laboratory-generated charcoal reference. Conventional geochemical analytical methods, including benzenepoly(carboxylic acid) (BPCA) analysis, Fourier transform–ion cyclotron resonance–mass spectrometry (FT-ICR-MS), solid-state 13C nuclear magnetic resonance (NMR) spectroscopy, and elemental analysis, confirmed substantial …

Teachers' Perceptions And Professional Uses Of Artificial Intelligence In Education, Lexie Coartney

Masters Theses

This study explores Illinois teachers’ perceptions and professional uses of artificial intelligence (AI) in education. A mixed methods approach was implemented, including a survey completed by 137 Illinois teachers and four interviews. The research questions examined teachers' perceptions of AI, their professional use of AI, and their approach to students’ use of AI. Findings concluded that participants generally hold positive perceptions of AI, especially its time-saving abilities and being supportive, while also holding concerns including reliability, accuracy, and ethical issues. Results showed that 77% (n = 106) of teachers use AI tools mostly for lesson planning, creating assessments, differentiation, …

Long-Term Compositional Shifts In The Fish Community Of The Wabash River, Olivia R. Wertman

Masters Theses

There is concern about declining biodiversity in the world today and an increasing need to monitor biodiversity through collecting data and gauging changes occurring in biodiversity over time. Large river fish communities are one area of particular interest due to their sensitivity to environmental changes. One program seeking to address this is the Long-Term Survey and Assessment of Large River Fishes, LTEF, which monitors fish populations in the large rivers of Illinois. In this study, I assessed changes in the fish community of the lower 322 km of the Wabash River from 2010-2025 using annual direct current boat electrofishing surveys …

Trade-Offs In Avian Parental Care, Rebekah A. Mckinnon, Malgorzata Lagisz, Sheeraja Sridharan, David F. Westneat, Kimberley J. Mathot

Biology Faculty Publications

The selective forces shaping parental care have been studied for over 50 years. While theoretical and experimental work has yielded qualitative progress, the large body of empirical work testing predictions about parental investment based on life-history trade-offs has yet to be synthesized. We first provide an overview of the core life-history theory exploring how selection might shape parental care. We then conduct a systematic review and meta-analysis on studies that experimentally manipulated brood size in birds, a widely used experimental approach to manipulate parental investment. We extracted 313 estimates from 62 studies representing 31 species of birds from 19 different …

An Explanatory Mixed-Methods Study Identifying And Describing The Perceived Impact Of Five Disruptive Career Skills On Women’S Career Advancement To An Executive Leadership, Roque Ramirez

Dissertations

Purpose: The purpose of this explanatory mixed-methods study was to identify and describe the perceived impact of Johnson and Mohr’s (2019) five disruptive career skills on the career advancement of female chief petty officers with a military background as they progressed into a leadership position.Methodology: This explanatory mixed-methods study examined the experienced of eight female chief petty officers regarding the use of personal disruption strategies. Participants were selected through purposive sampling based on predetermined eligibility criteria and recommendations. Data were collected and analyzed by calculating means scores for quantitative responses and identifying qualitative themes related to the five personal disruption …

The Role Of Academic Vocabulary Instruction In Supporting Secondary English Learners' Science Proficiency, Chue Seng Her

All Electronic Theses and Dissertations

This literature review examines the extent to which academic vocabulary instruction influences secondary English learners’ (ELs’) science proficiency. Science learning requires students to interpret complex texts, engage in academic discourse, and construct evidence-based explanations using discipline-specific language, which may present challenges for ELs. This review provides an overview of research on language demands in science and instructional approaches that support vocabulary development. Findings indicate that academic vocabulary plays a critical role in students’ ability to comprehend scientific content, participate in discourse, and communicate reasoning effectively. Instructional approaches such as explicit vocabulary instruction, scaffolding, discourse-based strategies, reciprocal teaching, cognitive strategy instruction, …

Mechanical Property Evaluation Of Paper Die Materials In Explosive Forming, Higa Yoshikazu, Kadena Hisashi, Shimojima Ken, Iyama Hirofumi

ASEAN Journal on Science and Technology for Development

This study investigates the feasibility of using paper materials as substitutes for molds in explosive forming by systematically evaluating their mechanical properties. Tensile tests were conducted on three paper types differing in thickness and internal fiber structure, using a custom-designed gripping tool. Specimens were prepared in multiple orientations to account for anisotropic behavior. Results indicate that coated paper, exhibiting the highest specific tensile strength and energy absorption per unit basis weight, is the most suitable for formability. In contrast, thick paper, characterized by the lowest specific tensile energy absorption, offers the best dimensional accuracy. Anisotropy was observed in matte and …

Face2cam: A User-To-Webcam Distance Estimation Image Dataset, Yixuan Zhai, Arryn Robbins

Psychology Faculty Publications

Estimating the distance between a user and their device’s camera is important for tasks such as gaze-aware interaction, adaptive interface scaling, and accessibility tools. Specialized depth sensors are effective but rarely available in everyday computing devices; by contrast, webcams are ubiquitous yet lack native distance information. To advance accessible distance-aware computing, we present Face2Cam, an openly available dataset of webcam images annotated with user-to-camera distances. Thirty-six adults were photographed under controlled variation of head orientation, gaze direction, and illumination, yielding 3,240 labeled images spanning distances from 30–80 cm. As a baseline, we trained a convolutional neural network as a lightweight …

Virtualized And Distributed Neighborhood Data Centers, Benjamin T. Niccum

Computer Science and Engineering Theses

This thesis evaluates whether PCIe-fabric-based resource pooling can support a decentralized neighborhood micro-data-center model under real implementation constraints. The work combines architecture design, prototype deployment, performance benchmarking, and security assessment. Results show strong prototype-scale feasibility with low-latency and high-throughput behavior, while also identifying deployment-blocking security gaps and operational maturity requirements. The thesis contributes an evidence-traceable path from concept validation to deployment-grade roadmap planning.

Systematic Approaches To Characterizing Vulnerabilities And Enhancing Robustness Of Text And Vision-Language Models, Poojitha Thota

Computer Science and Engineering Dissertations

The proliferation of artificial intelligence (AI) across critical domains, including news summarization, privacy-policy analysis, and medical decision support, has raised growing concerns about the security and robustness of these systems against adversarial manipulation. This dissertation investigates adversarial robustness in generative AI by addressing three key research goals: (1) characterizing adversarial vulnerabilities across generative models, (2) developing systematic defenses to improve the robustness of generative models, and (3) designing deployment-time safeguards for securing LLM interactions.

Towards the first goal, we characterize adversarial vulnerabilities across text-based and multimodal systems. In abstractive text summarization, we show that inference-time perturbations can exploit lead bias …

Electrochemical Sensors Development For Bacterial Detection And Surveillance: Recent Advances And Future Directions, Baljit Singh, Kamna Ravi

Research Outputs: 2025-Present

In today’s environment, rapid, reliable, and accurate bacterial detection is essential for protecting public health while preserving and ensuring the safety of food, water, and agricultural and environmental systems. Over the years, electrochemical sensors have gained widespread attention as viable candidates due to their rapid response, high sensitivity and selectivity, adaptability and portability, and low manufacturing cost. This facilitates their integration into various sectors, including healthcare and diagnostic applications, food safety and agriculture, and water and environmental monitoring. While these achievements represent tremendous progress, some of the challenges that need to be overcome include stability, batch-to-batch reproducibility, manufacturability, performance reliability, …

The Rise In Height And Curb Weight Of The Top-Selling Vehicles In The United States From 1991 - 2025: Implications For Engineering Design And Vulnerable Road Users, Samuel L. Steinman-Friedman

Civil Engineering Theses

Road fatalities are higher in the United States than in other high-income regions. In 2024, 39,254 people died on roads in the United States compared to 19,940 in the European Union. These two regions have comparable exposure metrics, such as population size, roadway network length, and fatalities per mile traveled. Light trucks dominate the U.S. market, whereas hatchbacks are prevalent in Europe. The trendline of the average height and curb weight of the top-selling vehicles in the United States has increased by 0.24 inches and 23.52 pounds per year since 1991. The average 2025 top-selling U.S. passenger vehicle is 7.5 …

Integrated Thermal, Energy, And Structural Performance Assessment Of A Novel In-Service Shallow Geothermal Bridge Deicing System, Alireza Fakhrabadi

Civil Engineering Dissertations

Understanding the performance of bridge deck deicing systems under winter weather conditions is important for improving transportation safety and reducing long-term deterioration of bridge infrastructure. Bridge decks are more vulnerable to icing than ground-supported pavements because they are exposed to ambient air, wind, and radiation from multiple directions, while they do not receive thermal support from the underlying soil. Conventional deicing methods, especially chloride-based salts, can reduce ice formation in the short term, but repeated application may accelerate reinforcement corrosion, concrete damage, and environmental concerns. Therefore, shallow geothermal energy has been considered as a sustainable alternative for bridge deck deicing …

A Machine Learning–Based Framework For Traffic Classification And Threshold-Based Load Management In 5g Network Slicing, Safi Ibrahim, Younis S. Younis, Kamal S. Hamza, Mohamed M. Ashour

Mansoura Engineering Journal

This study proposes a machine learning–based framework that applies machine learning techniques to improve the efficiency of 5G network slicing through automated traffic classification and threshold-based load management . The proposed model optimizes resource allocation among the three standardized 5G slice types: enhanced Mobile Broadband (eMBB), ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC). Two supervised learning algorithms—K-Nearest Neighbors (KNN) and Support Vector Machine (SVM)—are trained using Quality of Service (QoS) parameters such as packet delay, loss rate, and Quality Class Identifier (QCI). Experimental evaluations were conducted on two large-scale datasets containing over 400,000 traffic instances, demonstrating that the …

Comparative Evaluation Of Gating Systems In Femnal Castings, K. Balasubramanian, Laura Bartlett, M. Xu

Materials Science and Engineering Faculty Research & Creative Works

To understand the efficiency of gating systems, four systems, namely AFS styled pressurized system, AFS styled non-pressurized system, naturally pressurized system with a side riser and a naturally pressurized system with a top riser, were studied. The naturally pressurized systems were provided with overflows which collected the incoming metal swirl while the pressurized and non-pressurized systems had runner wells. Parameters like velocity of metal flow, air entrapment, microporosity and Niyama criterion were considered, and a design was developed with a common pouring basin using solidification software. Two molds were 3D printed using carbonitride sand, and steel of composition Fe-29Mn-8.2Al-0.91C-0.88Si-0.49Mo was …

The Suppression Of The Opelousas Massacre Of 1868: The Blackleg Hunt Or “La Chasse A’ La Jambe Noire”, August Malveaux

The Griot - Southern Conference on African American Studies, Inc.

This article examines the suppression of the 1868 Opelousas Massacre—also known as “la chasse à la jambe noire” or the Blackleg Hunt—and situates it within the broader landscape of Reconstruction-era racial violence in Louisiana. Malveaux argues that the massacre was not an isolated riot but a premeditated act of political terrorism designed to eliminate Black electoral participation and reverse Reconstruction gains. Triggered by Black political mobilization and white supremacist resistance, the violence unfolded over several days in September 1868 and resulted in widespread murder, intimidation, and property destruction. The essay challenges the historiographical minimization of the event, emphasizing how organized …

The Case For Federal Regulation Of Ai’S Environmental Impacts In An Era Of Deregulation, Sam Sinutko

Fordham Urban Law Journal

No abstract provided.

Design And Fabrication Of A Scaled Automated Dairy Farm Model: A Report, Md Towfiqur Rahman

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Summary

This study investigates how ventilation systems work in dairy barns and builds a scaled model to support education and research. The project is designed to help students from the University of Nebraska–Lincoln (UNL), K-12 learners, and researchers in animal science, veterinary medicine, and engineering gain visual experience with dairy facility components and processes. Different ventilation methods were studied, leading to the design of a 1/64-scale tunnel-ventilated dairy barn meant for 60 Holstein Friesian cows. Barn dimensions were set based on real Holstein cow measurements to ensure proper cow comfort, while airflow requirements were calculated and scaled down. Miniature fans …

Town Of Wentworth 2025 Annual Report, Wentworth Town Representatives

Wentworth, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

2024-2025 Annual Report, Tennessee Public Utility Commission

Annual Reports

No abstract provided.

A Historic Trade Union Law Revision To Expand The Concept Of Employer In Korea, Aelim Yun

Dispatches

This dispatch illustrates the impact of the amendments on Korea’s legal framework for collective bargaining and strike action, and predict the impact of the amendments on the guarantee of collective labour rights, in particular for workers in non-standard forms of employment.

Table Of Contents & Letter From The Editor

UIC Review of Intellectual Property Law

No abstract provided.