Digital Commons Network^™

(R2132) A Multi Server Markovian Working Vacation Queue With Randomly Varying Environment, A. Sundaramoorthy, R. Kalyanaraman

Applications and Applied Mathematics: An International Journal (AAM)

In this article, we consider a multi server Markovian queueing system with working vacation. During busy period, the arrival and service completion are generated by K distinct randomly varying environments. At a service completion epoch, if no customer in the system, the servers take vacation, the vacation policy is multiple vacation policy and the vacation period follows negative exponential distribution. In addition, during vacation period the servers serve customers if they arrive. Based on the vacation termination point we define two Models. For the two models, the steady state probability vector of number of customers in the queue, the stability …

(R2135) System Dynamical Analysis For Ann-Based Numerical Solutions Of A Compartmental Model: A Bio-Mathematical Model Of Drug Diffusion Through The Compartments Of Blood And Tissue, Rakesh Kumar, Sudarshan Dhua

Applications and Applied Mathematics: An International Journal (AAM)

This paper provides a considerably efficient numerical approach to acquire the solutions of a biomathematical model administrating oral and intravenous distribution of pharmaceuticals in the human body. The proposed numerical approach based on an artificial neural network is employed to extract numerical solutions for a detailed set of ordinary differential equations and analyze the change in concentration of drug diffusion via the compartments of blood and tissue medium. We primarily focus on analyzing three different models established on the diffusion process, exercising laws of mass action and Fick’s principle. In this work, the existing model is reformulated as an optimization …

(R2107) Analysis Of A Bivalent Vaccine Model With Peer Influence Effect On Testing, Manoj Kumar Singh, Anjali .

Applications and Applied Mathematics: An International Journal (AAM)

The coronavirus caused havoc around the world. There was a terrible situation in villages and cities, and no one knew how to deal with it. Although the governments of each country tried their best to save the common people, vaccination programs and testing centers were built everywhere. However, people were not utilizing it due to fear. Because of this, the infection spread rapidly. The qualitative study of the mathematical model here is in context with the situation when bivalent vaccination and testing are available for an epidemic. The mathematical model combines the exposed period and influenza model with vaccination included …

Triple-Parametric Autoencoder For 2d Reparameterization Via Bézier, B-Spline, And Nurbs Representations, Shaoliang Yang, Jun Wang

Mechanical Engineering

This paper proposes a sample-wise triple-parametric deep learning framework (TPDLF) for 2D curve parameterization. The proposed framework integrates Bézier, B-spline, and Non-Uniform Rational B-spline (NURBS) curve formulations within a unified neural network architecture, enabling the reconstruction of smooth and closed 2D curves such as real-world airfoil and synthetic Superformula shapes (with -fold symmetry). An encoder compresses the input curve shape into a latent space, while three distinct decoders untangle the latent space by inferring corresponding governing parameters for each parameterization (i.e., Bézier/B-spline/NURBS). The corresponding reconstruction modules are then deployed to ensure smooth curve generation using the governing parameters …

Enhancing Ad/Adrd Management Through Ihelpcare: A Compliant And Culturally Sensitive Ai-Driven Digital Healthcare Platform, Trisha Bhowmick

Master's Theses

The digital healthcare field is expanding fast, and now it requires platforms that use advanced technology and maintain robust data security and compliance practices. In the present paper, we present the main structure, key methods, and compliance strategies of the digital healthcare system iHelpCare, which, while fully meeting the HIPAA/GDPR requirements, provides health services more accessible, efficient, and inclusive. The proposed platform is powered by AI for personalized care solutions, with the main emphasis on preventive health management and providing tools for people with disabilities.

iHelpCare achieves real-time patient monitoring while securing medical data management and easy communication between patients, …

Topic Modeling And Culturomic Analysis Of 30,000 Books Over 100 Years Using Gensim, Michael A. Freeman

Electronic Theses and Dissertations

This thesis explores the cultural influence of historical events on English-language fiction published between 1820 and 1929. Using a corpus of 30,256 digitized books from Project Gutenberg, Latent Dirichlet Allocation (LDA) topic modeling was applied to identify recurring themes across eleven decades. The study sought to determine whether historically significant events could be detected within fictional narratives. One clear instance emerged: Napoleon Bonaparte and the Napoleonic Wars appeared explicitly in the 1820s corpus. Beyond this, several thematic patterns were observed—such as maritime language in the 1840s, national identity in the 1880s, and youth-oriented dialogue in the early 20th century—that plausibly …

A Deep Learning And Causal Modeling System For Retinal Disease Diagnosis, Shiyu Tian

Dissertations (1934 -)

Vision-threatening retinal diseases, such as diabetic retinopathy (DR) and diabetic macular edema (DME), are major causes of preventable blindness worldwide. Early screening and follow-up are essential, but advanced imaging like Optical Coherence Tomography (OCT) is expensive and not always available outside large clinics. In contrast, color fundus photography is inexpensive and common, yet it only shows a surface view and can miss subtle changes inside the retina. These practical limits make it hard to deliver timely, high-quality eye care in many settings. As AI is increasingly used in healthcare, retinal disease diagnosis has benefited as well. This work combines deep …

Spectroscopic Studies Of Metal Containing Molecules Under Jet-Cooled Conditions Using Laster-Induced Fluoresence (Lif) And Dispersed Fluorescence (Df) Techniques., Md Touhidul Islam

Electronic Theses and Dissertations

This dissertation examines the jet-cooled spectroscopy of the calcium propoxide radical (CaOC₃H₇) to understand how increasing molecular complexity reshapes symmetry, electronic degeneracy, and vibronic coupling. Moving from Ca–OCH₃ to Ca–OC₃H₇ lowers symmetry (C₃v → Cs → C₁) and exposes effects such as spin–orbit splitting and both Jahn–Teller and pseudo–Jahn–Teller distortions. These features remodel the excited-state potential surfaces and are directly observable with laser-induced fluorescence (LIF) and dispersed fluorescence (DF). A central goal is to evaluate whether CaOC₃H₇ supports the near-diagonal vibronic branching needed for efficient optical cycling, while also highlighting implications for catalysis and astrochemistry, where precise spectral fingerprints guide …

Experiences Of Title Ix Hearing Panel Members., Amanda Gage Stonecipher

Electronic Theses and Dissertations

The number of allegations of sexual misconduct on college campuses has been increasing over the past decade and higher education institutions are charged with addressing the misconduct. Addressing student behavior on college campuses through a conduct process is woven into the fabric of higher education, and many institutions use a hearing panel model to determine if institutional policies were violated. My research aims to explore how student conduct hearing panel members process the tension between the emotional management required when hearing intimate and traumatic details of a sexual misconduct case. The data for this research were collected via semi structured …

Optical, Mechanical, And Transport Characterization Of Two-Dimensional Magnetic Materials., Hiruni Weerahennedige

Electronic Theses and Dissertations

This work investigates the structural, magnetic, thermoelectric, and optoelectronic behavior of layered two-dimensional (2D) materials, with emphasis on Fe₃GeTe₂, Ni-substituted Fe₃GeTe₂ alloys, and GeSe. The study aims to clarify how dimensionality, alloying, and external perturbations influence charge transport, magnetic ordering, and light-matter interactions in van der Waals crystals. Single crystals of Fe₃GeTe₂ and (Ni_xFe_1-x)₃GeTe₂ (x = 0-1) were synthesized by chemical vapor transport and characterized using X-ray diffraction, Raman spectroscopy, and transmission electron microscopy. Angle-resolved polarized Raman spectroscopy resolved symmetry-dependent phonon modes and …

Symmetry, Stability, And Robust Optimization Strategies For Nonorthogonal Multiconfiguration Self-Consistent Field Wavefunctions., Zihui Song

Electronic Theses and Dissertations

The "different orbital different configuration" (DODC) framework is a general formulation of multireference wavefunctions that allows each configuration (determinant) to possess its own set of optimized molecular orbitals, rather than sharing a common orbital basis as in conventional orthogonal configuration interaction (CI) or Complete Active Space Self-Consistent Field (CASSCF) methods. One prominent example of the DODC framework is the Nonorthogonal Configuration Interaction (NOCI) method, which relaxes the orthogonality constraint between the orbitals of different configurations. This relaxation enables a compact yet flexible description of systems exhibiting strong correlation. By employing multiple nonorthogonal reference determinants, NOCI naturally incorporates orbital relaxation and …

Artificial Intelligence For Cancer Imaging: Integrated Frameworks For Hepatocellular Carcinoma And Pulmonary Nodules., Ahmed Muhammed Sherif Mostafa Alksas

Electronic Theses and Dissertations

Reliable, reproducible, and clinically useful artificial intelligence (AI) for oncologic imaging requires more than high headline metrics: it demands principled pipelines, calibrated predictions, and designs that generalize across anatomy, scanners, and institutions. This dissertation develops such pipelines in two complementary domains— hepatocellular carcinoma (HCC) on multiphase CT/MRI and indeterminate pulmonary nodules on thin-slice CT—while articulating evaluation and reporting practices that support credible clinical translation. The work proceeds in six core chapters. Two focused reviews synthesize the state of the art in (i) radiomics/AI for HCC and (ii) early assessment of lung nodules, mapping common pitfalls (data leakage, class imbalance, kernel …

By The Numbers: Numeracy, Religion, And The Quantitative Transformation Of Early Modern England (Book Review), Calvin Jongsma

Faculty Work Comprehensive List

Reviewed Title: By the Numbers: Numeracy, Religion, and the Quantitative Transformation of Early Modern England by Jessica Marie Otis. New York, NY: Oxford University Press, 2024. 264 pp. ISBN: 9780197608777.

Visual Simultaneous Localization And Mapping For Multi-Robot Collaboration, Aidan O’Hare

Electrical and Computer Engineering Master's Theses

As society continues to progress with robotics and automation, the significance of multi-robot systems continues to increase. Single robot systems are limited in their capacity to carry out certain types of tasks, similar to how one person is limited. When it comes to carrying large, cumbersome objects that would require multiple entities to move in a coordinated manner, it is very apparent that implementing a multi-robot system is necessary. Multi-robot systems have become a sector of robotics of increasing interest due to the multitude of use cases they are able to fulfill. However, scalability is a large part of the …

Spatial–Temporal Evolution Of The Box Springs Plutonic Complex, Riverside, Ca, Mateo Ospino Díaz

Loma Linda University Electronic Theses, Dissertations & Projects

The mechanisms of pluton emplacement into continental crust have long been debated in igneous geology, with early models emphasizing forceful processes such as ballooning, later contrasted by alternative emplacement mechanisms including diapirism, incremental assembly, stoping and, emplacement by sheets and dikes. These contrasting perspectives highlight the complexity of the construction of mid-crustal intrusions and the need for case studies that integrate multiple datasets. The Box Springs Plutonic Complex (BSPC) in the northern Peninsular Ranges Batholith (PRB) preserves structural, textural, and compositional features that record its emplacement and internal construction. Although its lithology, structure, and geochemistry have been described, an integrated …

Host-Intrinsic Factors Determine Anti-Tumor Efficacy Of Exercise In Pancreatic Ductal Adenocarcinoma, Sumedha Pareek

Dissertations and Theses (Open Access)

Pancreatic Ductal Adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths with a low 5-year relative survival rate of approximately 13.3% for all stages combined. We have previously shown that exercise can improve quality of life and enhance functional capacity among patients with PDAC. Exercise induces a variety of changes in the tumor microenvironment with beneficial effects in several tumor types. However, our understanding of the clinical effects of exercise and the mechanisms that mediate anti-tumor effects are limited in pancreatic cancer.

In this project, using C57BL/6 mice from Taconic Biosciences (Tac) and Jackson Laboratories (Jax), we established a …

A Critical Analysis Of Alternative Section 1031 Proximate-Exchange Structures, Bradley T. Borden

UC Law Business Journal

Taxpayers have six wins and zero losses in cases that grant nonrecognition to exchanges that occur in proximity to tax-free business transactions (contributions to and distributions from entities) of the exchanged property. Those six cases (the proximate-exchange cases) were decided between 1983 and 1989. From those cases emerged the proximate-exchange principle: “[a] trade of Property A for Property B, both of like kind, may be preceded by the tax-free acquisition of Property A at the front end, or succeeded by a tax-free transfer of Property B at the back end.”1 Despite the explicit declaration of the proximate-exchange principle and the …

From 2d To 3d: Multi-Agent Reinforcement Learning For Spectrum-Constrained Urban Air Mobility., Qingyang Li

Electronic Theses and Dissertations

Advanced Air Mobility (AAM) and Urban Air Mobility (UAM) are accelerating a transformation of air transportation but face acute spectrum congestion in dense urban environments. Reliable Control and Non-Payload Communications (CNPC) must be maintained at all times to ensure safe operations, even as fleets of aerial vehicles (AVs) transport passengers and cargo between distributed vertiports. We first develop a 2D formulation that jointly optimizes discrete headings, velocities, and spectrum allocation to minimize total mission time while satisfying quality of service (QoS) and collision-avoidance constraints, and we demonstrate significant gains over non-learning and learning baselines. Building on this 2D framework, we …

Aged 539 Graduate Internship Report- Liberty High School, Brittany N. Johnson

Agricultural Education: Graduate Internship Reports

This document documents the AGED 539 Internship in Agricultural Education and examines the Liberty High School–Brentwood FFA and Agriculture Department’s alignment with the three-component model of agricultural education: classroom instruction, FFA leadership development, and Supervised Agricultural Experience (SAE). Grounded in experiential learning theory, the report reflects on program strengths, challenges, and growth across all twelve California Career Technical Education (CTE) Quality Criteria, supported by narrative reflection and evidence. The internship project focused on developing a formal FFA Program of Activities (POA) to improve chapter organization, goal-setting, and long-term sustainability. Overall, the project highlights intentional program planning and leadership development as …

Computational Expressions Of Void Reactions In Extended Chemical Reaction Network Models, Aiden J. Massie

Theses and Dissertations

Chemical Reaction Networks (CRNs) are a system of abstraction of real-world chemical dynamics. Each CRN system is defined as a pair of molecular species and reaction rules, which consume a set of reactant species and create a new set of product species. In this paper, we investigate the simple class of void reactions, which cannot create new species and are computationally weak with small-enough sizes in basic CRNs. Here, we study their computational expression in more powerful extended CRN models. Specifically, we consider the Step CRN model, in which new species are added into the system through a sequence of …

Understanding Bias And Fairness In Large Language Models: An Empirical Study, Joshua Johnson

Electrical Engineering and Computer Science Undergraduate Honors Theses

This thesis investigates demographic bias in large language models (LLMs) through the use of evaluating outcome disparities when utilized in decision making tasks as well as underlying associations that could contribute to furthering these disparities. Using profiles from the Adult dataset, we analyze how Gemini 2.0 Flash performs in an income prediction task using zero-shot and few-shot prompting methods. Our findings show that models exhibit measurable differences in demographic parity and false positive rates, with the use of few-shot prompting reducing these disparities. Alongside this line of testing, we tested associational bias in Qwen 2.5 using probability based association tests …

Exploring Hiring Managers’ Strategies For Recruiting Diverse Educators In A Southeastern State, Keisa K. Davis Ma

Dissertations

This dissertation examined the strategies applied by hiring managers within one state in the southeastern United States to recruit diverse teachers. The purpose of the study was to explore hiring managers’ experiences and knowledge of minority teacher recruitment. The primary research question for this study was: What strategies do hiring managers in the school district under study find most effective in overcoming barriers to recruiting minority educators, and how do they measure their success? Data was collected through semi-structured interviews, and thematic coding was used to arrive at emerging themes, patterns, and perceptions. The findings revealed that while hiring managers …

Evaluating The Effectiveness Of A Fully Immersive Esol Elementary Program: A Mixed-Methods Study, Equitia D. Armour

Dissertations

With the enrollment of students who are English Language Learners (ELL) steadily rising across the United States, this research sought to understand how immersive models support both language acquisition and academic achievement. This study examined the effectiveness of a fully immersive English Speaker of Other Languages (ESOL) program in one elementary school. The purpose was to identify the qualities of successful ESOL programming, and the conditions needed for sustained growth. The primary research question for this study was: What are the qualities of a successful fully immersive ELL elementary program? Using a mixed-methods design, data were drawn from surveys, interviews, …

Machine Learning-Based Detection Of Covert Data Exfiltration Via Electromagnetic Side-Channel Emissions From Computer Memory In Air-Gapped Systems, Oladapo Akintoye Ajike

All Theses

Air-gapped computer systems are physically isolated from unsecured networks. Though isolated, they remain vulnerable to covert data exfiltration via electromagnetic side channels and other covert-channel attacks. This research presents a comprehensive approach to detecting electromagnetic data exfiltration by establishing a controlled laboratory environment using low-cost, readily available hardware components. The study shows a proof-of-concept covert data transmission system that exploits electromagnetic emissions from computer memory access patterns through software-controlled Random Access Memory (RAM) operations.

The research methodology involved developing a C++ transmitter program that modulates CPU and memory-intensive operations to generate detectable electromagnetic signals at 100 MHz frequency, and implementing …

Energy-Efficient Task Offloading Frameworks For Mixed Reality And Extended Reality In Edge Ai Environments, Mahin Khan Mahadi

All Theses

Mixed Reality (MR) and Extended Reality (XR) technologies are increasingly integrated into real-time applications such as remote maintenance, spatial navigation, and immersive learning. However, the computational intensity of deep learning workloads, especially object detection models like YOLO, poses significant challenges for wearable XR devices with limited processing power and battery life. To address these challenges, this thesis presents a comprehensive study of adaptive offloading strategies that optimize task execution between XR devices and edge servers.

We first proposed the Binary Spatial Allocation Framework (BSAF), which introduced a real-time binary decision mechanism for XR systems. The BSAF framework evaluates scene complexity, …

Integrating Semi-Supervised Learning And Ensemble Deep Learning For Low-Resource Deep Knowledge Tracing, Uchechukwu Melody Okechukwu

All Theses

As learning platforms scale, two obstacles prevent Deep Knowledge Tracing (DKT) from thriving in practice: the scarcity of labeled interactions and the opacity of predictions. We introduced a semi-supervised, ensemble DKT pipeline that trains diverse architectures, including Knowledge Proficiency Tracing (KPT), Exercise-Correlated KPT (EKPT), and Dynamic Key-Value Memory Networks (DKVMN) on a mixture of limited labeled and abundant unlabeled learner interactions, then aggregates predictions via majority voting to stabilize learning and reduce variance. Evaluated on benchmark datasets such as ASSISTments, the combined approach yields consistent gains in AUC, accuracy, and precision over strong supervised baselines while revealing influential interactions, surfacing …

Modeling And Control Of Spring-Mass Systems With Switched Dynamics Using Reservoir Computing, Osemudiamen Andrew Ihimekpen

All Theses

Hybrid spring-mass systems with dynamic state switching present significant challenges for modeling and control due to their complex nonlinear dynamics and discrete state transitions. In this research, a novel reservoir computing framework based on echo-state networks (ESNs) was proposed to model and control spring-mass systems with two distinct states: F1 (without air friction) and F2 (with air friction). The system switched between states based on velocity thresholds, creating a complex, hybrid dynamic that required sophisticated modeling approaches. The proposed method enabled efficient learning of spatiotemporal patterns in hybrid dynamics, offering accurate system identification and robust control capabilities.

The framework was …

Content And Consequences: Impact Of Representation In Stem Higher Education Instructional Content On Marginalized Students, Nichole Ventura

Doctorate in Education

This qualitative study examined representation of historically marginalized students in STEM instructional content at the higher education level and its impact on their learning experiences. Despite growing diversity initiatives in STEM enrollment, curricular materials often fail to reflect the identities of underrepresented students. Using critical theory and interpretivist approaches, this research investigated how representation—or its absence—shapes students' sense of belonging, academic identity formation, and persistence. Through semi-structured interviews with undergraduate students from historically marginalized backgrounds, and purposeful sampling, this study captured the lived experiences of students engaging with STEM instructional materials. Interview protocols explored how students perceive their representation in …

Enhancing Cryptocurrency Prediction: A Fusion Of Machine Learning And Neutrosophic Programming, Ahmad Yusuf Adhami, Mohammad Parvej, Nabil Ahmed Khan, Mohd Khalid

Neutrosophic Sets and Systems

No abstract provided.

Modified Plithogenic Sets In Criterion Reduction In Optimal Decisioning On Robotized Technology, Nivetha Martin, Gabriel Xg Yue, Davron Aslonqulovich Juraev

Neutrosophic Sets and Systems

No abstract provided.