Digital Commons Network^™

Functional Canonical Correlation For Discriminant Analysis, Yongli Sang

Probability & Statistics Seminar

Canonical correlation analysis (CCA) is a classical tool for measuring the dependence between two random vectors, X ∈ ℝ^p and Y ∈ ℝ^q. When X and Y are functionalcurves, functional canonical correlation analysis (FCCA) is used to characterize the linear association between random functions.

In this project, we develop a new FCCA framework for discriminant analysis when the response variable Y is categorical. The proposed dependence measure is constructed by extending the categorical Gini correlation to the functional setting, allowing us to quantify the association between a functional predictor and a categorical response. We establish theoretical properties …

The Indiana Statesman, April 9, 2026, Indiana State University

Student Newspaper

Give to Blue; U.S.-Iran ceasefire announced, some fighting continues

Physics-Informed Neural Network Solution Of The 2d Helmholtz Equation With A Gaussian Source, Theodoros Panagiotakopoulos, Chris Velissaris, Aristotelis Nikolaos Rapsomanikis

Faculty Scholarship and Creative Works

We present a physics-informed neural network (PINN) framework for solving the complex-valued two-dimensional Helmholtz equation with a localized Gaussian source and spatially varying permittivity. Starting from Maxwell’s equations, the frequency-domain scalar Helmholtz formulation under transverse electric (TE) polarization is derived and enforced directly within the neural network loss function. The model employs a sinusoidal representation network (SIREN) architecture to capture the oscillatory nature of wave solutions and incorporates the Sommerfeld radiation condition to impose open boundary conditions. Training is performed using a hybrid collocation strategy combined with a two-stage optimization procedure consisting of Adam followed by L-BFGS. Numerical experiments in …

Aiw26s: Applied Llms, Chengjie Zheng

Paul English Applied Artificial Intelligence (AI) Institute Publications

This workshop introduces the concept of applied large language models (LLMs), focusing on how users can move from simple prompt-based interaction to building structured, repeatable AI-driven workflows. Participants explore how AI enables faster prototyping, lowers barriers to entry, and expands who can participate in building technology. Through a hands-on demonstration, attendees learn how to transform raw inputs into meaningful outputs such as summaries, key concepts, and actionable steps. The session emphasizes the importance of clear problem definition, iterative refinement, and critical evaluation when working with AI systems.

Workforce Dynamics In Michigan's Upper Peninsula: Trends, Shocks, And Projections Through 2030, Iryna V. Lendel

Presentations

Michigan’s Upper Peninsula is navigating a complex economic transition shaped by demographic change, workforce aging, and sectoral concentration. While the region has experienced long-term population decline, its labor force has remained stable due to rising participation among older workers. At the same time, the U.P.’s economy remains highly concentrated in extraction, construction, and production industries. These industries offer strong wages but are sensitive to economic cycles.

This presentation highlights key findings on workforce structure, industry specialization, and the region’s capacity to respond to potential shocks, including major employer closures. Evidence shows substantial skill overlap across industries, creating opportunities for worker …

Navigating Help In Stem: How Seeking And Receiving Help Shapes Women’S Self Perceptions And Memory, Samantha A. Mckinney

Electronic Theses and Dissertations 2020 - Present

Prior research suggests that help-seeking is a social process shaped by interpersonal context, yet less is known about how help type and partner characteristics influence self-related outcomes in STEM settings. The present research examined how autonomy-oriented and dependency-oriented help, partner gender, and the alignment between requested and received help relate to women’s state self-esteem, STEM self-concept, affect, and recognition sensitivity. Across two studies, participants completed a STEM task and interacted with a simulated partner who provided help.

In Study 1 (N = 215), participants received the type of help they requested, allowing for an examination of how help type and …

Hands-On Learning And Design Thinking In Secondary Design And Technology Education, Carol K. Puddicombe

Research outputs 2022 to 2026

Design and Technology (D&T) education occupies a distinctive position within the secondary curriculum through its historical emphasis on designing, making, and evaluating tangible artefacts. Drawing on a doctoral study, this article examines how the secondary school experiences of ten pre-service D&T teachers in Western Australia shaped their engagement with the subject. Using Interpretative Phenomenological Analysis, data were generated through in-depth interviews. Analysis revealed three interrelated themes: the power of practical engagement, experiences of success in the workshop, and limitations in opportunities for explicit design thinking. Findings indicate that hands-on, workshop-based learning played an important role in fostering confidence, motivation, and …

Comparison Of Anomaly Detection Methods On Event-Based Vision Sensor Data In A High Noise Environment, Will Johnston, Anthony L. Franz, Shannon R. Young, Rachel Oliver, Zachary Theis, Brian Mcreynolds, Michael L. Dexter

Faculty Publications

Event-based vision sensors (EVSs) provide unique frequency analysis opportunities due to their event data output and high temporal resolution. Anomaly detection methods used in hyperspectral analysis can be used on the event frequency spectra to detect targets. However, the introduction of a strong, flickering interfering source can reduce the EVS sensitivity and obscure targets of interest. Previous work presented a method showing that targets could still be detected through an overwhelming source using frequency analysis, background suppression, and statistical filtering. This paper extends that research and compares the ability of five different eigenanalysis anomaly detection methods (principal component background suppression …

Female Indentured Servants And The Law In The Colonial Chesapeake, Jennifer Daniel Corbitt

Electronic Theses and Dissertations Archive

Abstract In colonial Virginia and Maryland, indentured servants were the primary engine of the colony's economy. In theory, the temporary exchange of labor for passage and potential social mobility offered women and men a similar opportunity to rise above their original station. However, the historical research of the past few decades has revealed that women had a distinctly different experience with the law than men. This thesis will argue that colonial law defined a particular and punitive form of servitude for white indentured women, viewing them as reproductive liabilities rather than as purely in economic assets. While The author has …

Spartan Daily, April 9, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 31

Otolith Stable Isotopes And Maaori Archaeology: Marine Paleoclimate Data For Northern Aotearoa New Zealand, Reno Nims, Caitlin Smith, Matthew Campbell

Anthropology Faculty Publications and Presentations

Marine paleoclimate records for the last 1,000 years are scarce in the southwest Pacific, limiting our understanding of complex environmental changes that may have affected Ma ori seascapes and fisheries. We seek to begin filling this knowledge gap by studying stable oxygen (δ18O) and carbon (δ13C) isotopes in archaeological and modern otoliths from ta mure (Australasian snapper, Chrysophrys auratus), which provide information about water temperature, salinity, and fish diet and metabolism. Our results show that fourteenth and fifteenth century ta mure otoliths recorded environmental conditions that are comparable to twentieth century temperatures, with some evidence for anomalously warmer seas and/or …

Extremal Connectivity In Graphs And Matroids, Yiwei Ge

LSU Doctoral Dissertations

Connectivity is a central theme in both graph theory and matroid theory. This dissertation investigates extremal connectivity in graphs and matroids, with emphasis on unavoidable structures and minimal connectivity phenomena.

Chapter 2 introduces cycle-contraction minors of graphs and investigates their structural properties. We establish a connection between cc-minors and induced subgraphs via graph duality. The main result gives an unavoidable-families characterization for cc-minors of sufficiently large loopless $2$-connected graphs.

Chapter 3 studies super-minimally $3$-connected graphs, namely $3$-connected graphs that have no proper $3$-connected subgraphs. We establish extremal bounds on structural parameters of these graphs, including the minimum number of degree-$3$ …

Essays On Effect Of Remote Work Opportunities On Migration And Gender Gap, Aghairza Mammadov

USF Tampa Graduate Theses and Dissertations

This dissertation examines how the expansion of remote work has reshaped key dimensionsof labor market behavior in the United States. By relaxing traditional constraints on where and how people work, remote job opportunities (RJOs) have the potential to alter both geographic mobility and labor market inequality. The first chapter focuses on how remote work affects internal migration patterns, while the second chapter examines its implications for gender differences in employment and wages.

Chapter 1 examines how the expansion of remote job opportunities shapes internal migration patterns in the United States. The expansion of remote job opportunities has decoupled employment from …

The Role Of Teachers In Developing The Interpersonal Skills Of Elementary School Students In Pekanbaru, Marcella Sari Dewi, Siti Quratul Ain

Jurnal Pendidikan Humaniora

This study examines the multifaceted role of teachers in fostering interpersonal skills among 4th-grade students at SDN 42 Pekanbaru. Employing a qualitative approach through naturalistic inquiry, the research aims to provide an in-depth understanding of how teachers contribute to the social and emotional development of students in this context. Data were collected through interviews, observations, and documentation, with analysis conducted using the Miles and Huberman model, which includes data collection, reduction, display, and conclusion drawing. Findings reveal that teachers play diverse roles—as instructors, educators, mentors, coaches, and advisors—in promoting students’ interpersonal skills. As instructors, teachers deliver knowledge and prepare structured …

Enhancing Student Literacy And Engagement Through The Development Of Stem-Focused Educational Materials, Ade Eka Anggraini, Oktaviani Adhi Suciptaningsih, Radeni Sukma Indra Dewi, Lilik Binti Mirnawati, Moh. Rozy Zamroni, Rissky Rahmayanti, Hamidah Mat

Jurnal Pendidikan Humaniora

In the evolving landscape of education, the fusion of STEM (Science, Technology, Engineering, and Mathematics) disciplines with literacy education emerges as a pivotal strategy for fostering comprehensive learning. Despite its significance, elementary schools face obstacles in seamlessly incorporating STEM principles into their curricula, highlighting a gap in effective STEM- based educational practices. This research endeavors to pinpoint the hurdles impeding STEM integration and to devise strategic interventions aimed at bolstering STEM-centric learning, with a special emphasis on enhancing student literacy. Through detailed observations and dynamic discussions with key school stakeholders including Principals and faculty members the study identified foundational challenges …

Evaluating The Effectiveness Of Adaptive Learning Strategies Among Deaf Students In Inclusive Higher Education: A Thematic Analysis, Mayasari Manar, Murni Winarsih

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

This study aims to evaluate the effectiveness of learning adaptation strategies implemented by students with hearing impairments in the context of inclusive higher education. The study employs a qualitative approach using an open-ended survey design involving 15 students with hearing impairments who are currently enrolled in or have previously attended higher education institutions. Data were analyzed using a reflexive thematic analysis approach to identify thematic patterns related to perceptions of the effectiveness of the adaptation strategies employed. The findings indicate that the majority of respondents perceived the adaptation strategies they used as “fairly effective,” although not yet fully optimal. The …

Literature Study: Implementation Of Meaningful Learning In Social Studies Learning In Elementary Schools, Kadek Mahayanti, I Wayan Lasmawan, I Wayan Kertih

Jurnal Pendidikan Humaniora

The formation of character and social insight is very important for students to have since elementary school, which makes social studies learning very important to be taught. However, there is a big challenge in social studies learning in elementary schools, namely an interesting learning method in accordance with the development of elementary school students who are still at the concrete operational stage. One solution to overcome this challenge is to apply a meaningful learning approach. This approach makes it easy for students to understand new concepts because the concept is still related to the concepts that students previously had, so …

Ideals And Lattices In Number Fields, Sarah Ali Saeed Alyammahi

Thesis/ Dissertation Defenses

This thesis investigates algebraic number fields and their rings of integers, which generalize the ring of integers Z in Q. The study focuses on ideals, units, and ideal class groups, which describe the arithmetic structure of number fields and the failure of unique factorization. Key invariants such as the norm, trace, and discriminant are developed and applied, with particular emphasis on quadratic number fields and classical examples such as the Gaussian and Eisenstein integers. Some explicit computations of ideal class groups are carried out. The thesis also explores connections with lattice theory by interpreting rings of integers as lattices and …

Approach To Physics Education Using Local Ai With Rag For Open Educational Materials Generation, Dmitriy Beznosko

All Things Open

The new tool that starts to enter all parts of our life is AI – and it enters education as well. There are two standing large concerns with using AI for education – the safety of students’ data and the AI missing specific knowledge about the given class. The approach of using the Retrieval Augmented Generation (RAG) provides the user data to the locally run LLM model (using Ollama framework, a free and open-source tool that allows you to run large language models locally on your system) as a context for the generation of the OER materials. As this AI …

Examining The Impact Of Professional Development On Paraprofessional Self-Efficacy In Rural Settings, Elise Murray, Moriah Smothers, Tori L. Colson, Stacey Keown-Murray

Kentucky Teacher Education Journal: The Journal of the Teacher Education Division of the Kentucky Council for Exceptional Children

Due to an increasing reliance on special education paraprofessionals in rural schools, this study examines their self-efficacy beliefs before and after professional development. Using a mixed-methods approach, findings suggest no significant change in self-efficacy post-training. Paraprofessionals’ confidence was more influenced by on-the-job experiences than by a single professional development session.

Digital Transformation And Market Microstructure: Analyzing The Impact Of Algorithmic Trading On National Stock Exchange Of India Price Discovery Mechanisms Through Complex Systems Theory., Mukesh Bhaskar Ahirrao, Harshal Anil Salunkhe, Vishal Sunil Rana

Northeast Journal of Complex Systems (NEJCS)

Abstract

This research examines the evolution of market microstructure at the National Stock Exchange of India (NSE) from 2020 to 2024, a period characterized by substantial growth in algorithmic trading from 35% to 44% of total trading volume. Using market microstructure data and analytical techniques grounded in complex systems perspectives, the study documents temporal patterns in price discovery, liquidity, volatility, and market efficiency associated with this digital transformation.

The analysis reveals several notable changes in market characteristics. Transaction costs improved significantly, with bid-ask spreads declining by 23.4% and market depth increasing by 18.1%. Price adjustment half-life decreased by 50%, indicating …

On Topological And Algebraic K-Theories, Amar Yasser Aldakheel

Thesis/ Dissertation Defenses

This thesis explores topological K-theory, a powerful framework for studying invariants of topological spaces via algebraic structures. We investigate the construction of K-groups, with particular emphasis on the categorical formulation. The exposition is structured pedagogically, with careful development of the main concepts supported by detailed proofs and examples. The categories of vector bundles and projective modules are thoroughly defined and investigated. A central result studied in this thesis is the Serre–Swan theorem, which provides a bridge between the algebraic context of projective modules and the geometric context of vector bundles, enabling the use of algebraic techniques to solve geometric problems, …

Envelope

Isaac Ross Papers

This torn and stained envelope is addressed to Judge I R (Isaac R.) Wade in Prospect Hill, Mississippi. Mathematical figures are scribbled on the front and back of the envelope.

Synthesis And Catalytic Activity Testing Of Coke-Resistant Nickel-Based Catalysts For Methane Reforming And Hydrogen Production, Abdulmuizz Adamson

Thesis/ Dissertation Defenses

Ni-based catalysts are widely used in methane reforming and hydrogen production, but their industrial application is limited by deactivation caused by carbon deposition (coking). This dissertation examines the role of iron as a dopant in improving catalytic performance and coking resistance, with emphasis on its incorporation method and impact on coke oxidation during different methane reforming reactions.

The results show that dispersing iron ions within the γ-Al₂O₃ support significantly enhances catalyst coking resistance and hence catalyst performance under partial oxidation and combined partial oxidation-dry reforming conditions. This improvement is attributed, mainly, to the redox function of Fe and the enhanced …

Fully Decentralized Hierarchical Federated Learning At The Edge With Post-Quantum Secure Communication, Tariq Qayyum

Thesis/ Dissertation Defenses

Federated learning (FL) enables collaborative model training without centralizing raw data, but deploying FL at scale in real edge environments remains challenging because iterative training and aggregation must operate over heterogeneous, resource-constrained, and often mobile devices with time-varying connectivity. Conventional hierarchical federated learning (HFL) partially mitigates communication cost by introducing fog/edge aggregation, yet many designs retain cloud-based global aggregation and cloud-centric coordination. This places wide-area network latency on the critical path of every training round, creates a single point of failure, and limits responsiveness as model sizes and federation scale grow. Moreover, moving coordination and aggregation closer to the edge …

The Shorthorn: July 21, 1982

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: June 9, 1982

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: May 4, 1982

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: April 16, 1982

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: April 15, 1982

The Shorthorn Newspaper Collection: 1980s

No abstract provided.