Digital Commons Network^™

Event-Based Predefined-Time Synchronization For Complex Networks With Deception Attacks: An Asynchronously Intermittent Strategy, Lei Xue, Jiong Yu, Haoyu Zhou, Yongbao Wu, Jian Liu, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article studies the practical predefined-time synchronization (PPTS) for complex networks (CNs) under deception attacks based on the asynchronously intermittent event-triggered control (AIE-TC). Notably, AIE-TC effectively integrates the advantages of asynchronously intermittent control (AIC) and event-triggered control, where AIC provides each subsystem node with independent control and rest intervals. Besides, all synchronization errors of the CNs converge to an adjustable neighborhood within the predefined time by designing a bounded time-varying function into the controller. Moreover, this article considers that the transmission network is subjected to stochastic deception attacks modeled by a Markov process, which captures the state-driven dynamic transition characteristics …

Effect Of Sample Properties On Short-Circuited Waveguide Measurements For Materials Characterization, Alexander Hook, Jared Sinkey, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Microwave materials characterization measurements can be performed using a number of well-established approaches. One such approach, the filled transmission line approach featuring a short-circuited rectangular waveguide (SC-RWG) sample holder, is known to have sample placement restrictions related to measurement viability. This work focuses on this approach and addresses the measurement restrictions within the context of sample length and dielectric properties. The complex reflection properties, S11, of a sample placed in a SC-RWG sample holder are studied to quantitively define when a sample must be offset from the SC-end. The impact of the sample holder is also studied from a measurement …

Longitudinal Associations And Interactions Of Adolescent Religious Deidentification And Parental Sanctification On Parent-Adolescent Relationships, Justin Hendricks, Sam A. Hardy, Michael A. Goodman, Emily De Schweintiz Taylor

Faculty Publications

In many religious families, shared religious identity is a strong source of intergenerational solidarity. However, when adolescents deidentify from their family faith, normative parent-adolescent conflict, which heightens in mid-adolescence and normally subsides in late-adolescence, may intensify and damage parent-adolescent social cohesion. Many religious parents view parenting relationships as sanctified, which typically leads to adaptive parenting, but in the context of deidentification may lead to greater distress. To understand how adolescent religious deidentification influences parentadolescent relationships, we examined the longitudinal associations and interactions of adolescent children’s religious deidentification and parental sanctification on parent-child religious conflict and parental warmth (N = 1,391 …

Developmental Themes Associated With Religious Activity After Early Return From A Latter-Day Saint Mission, Samuel E. Hancock, Sam A. Hardy, Michael Goodman, Camron Angell, Jenae M. Nelson

Faculty Publications

In the Church of Jesus Christ of Latter-day Saints, qualified young men are expected (and young women are given the option) to complete extended missionary service during the transition to adulthood. Some youth end their missionary service short of the anticipated duration, which is associated with markedly lower rates of religious activity post-return. This study is a qualitative inquiry into the developmental themes associated with early returned missionaries from the Church of Jesus Christ of Latter-day Saints who chose to remain active (be consistently involved with the church), sampling from areas with high rates of Latter-day Saint activity, where stigmatization …

A Case Study Of Gender And Online Team Communication In Software Engineering Education, Rita Garcia, Christoph Treude

Research Collection School Of Computing and Information Systems

Collaboration is crucial in Software Engineering (SE), yet factors like gender bias can shape team dynamics and behaviours. This descriptive case study examines an eight-week project involving 39 SE students across eight teams contributing to GitHub projects. Focusing on gender, we used a mixed-methods approach to analyse Slack communications, identifying gender differences in how students respond to initiated communications and comparing how students’ communications influenced other aspects of students’ performance, including learning gains. We found higher help-seeking and leadership behaviours in the all-woman team involved in this case study, while men responded more slowly. Although communication did not directly affect …

A General Algorithm For Assortment Optimization Under Random Utility Choice Models, Tien Mai, Andrea Lodi

Research Collection School Of Computing and Information Systems

This work concerns the assortment optimization problem that refers to selecting a subset of items that maximizes the expected revenue in the presence of the substitution behavior of consumers specified by a random utility choice model. The key challenge lies in the computational difficulty of finding the best subset solution, which often requires exhaustive search. The literature on constrained assortment optimization lacks a practically efficient method that is general to deal with different types of customer choice models (e.g., the multinomial logit, mixed logit or general multivariate extreme value models). In this work, we propose a new approach that allows …

Integrating Symbolic And Waveform Music Into Large Language Models, Teng Tu, Xiaohao Liu, Yunshan Ma, Ji Qi, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Music, as a unique and integral element of human life, is characterized by its complex structures, intricate details, and the fusion of multimodal information. Recent study advance music understanding by leveraging knowledge and reasoning capabilities derived from Large Language Models (LLMs). However, they often lack compatibility and fail to fully utilize the complementary strengths of diverse representations (e.g., ABC, MIDI, Waveform). To address these limitations, we propose a unified music-language model framework, named UniMuLM, transitioning from single-representation approaches to the integration of multiple music representations for LLM. Unifying different music representation formats poses challenges such as patch integrity and boundary …

Food Recognition With Visual Language Models: Search Re-Ranking Or Retrieval-Augmented Generation?, Kian Yu Gan, Phuong Anh Nguyen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Despite the rapid advances in Visual Language Models (VLMs), these models struggle to recognize culture-specific food items. While VLMs are effective in recognizing popular cultural dishes, their performance is suboptimal for dishes that are unique but not widely known internationally. Specifically, VLMs often generate either generic labels or hallucinated names for dishes that are localized to a particular culture. As a result, retrieval-augmented generation (RAG), which retrieves relevant recipes as references for VLMs, emerges as a promising approach. Nevertheless, recipe retrieval, which is itself imperfect, could mislead VLMs into generating inaccurate or culturally inappropriate dish names. This paper presents a …

Security-Enhanced Decentralized Conditional Privacy-Preserving Authentication In Vanets, Suqin Luo, Xinghua Li, Yinbin Miao, Xuelin Cao, Zhan Zhang, Yunwei Wang, Deng R.H.

Research Collection School Of Computing and Information Systems

To ensure the legitimacy of communicators while ad dressing the privacy concerns of vehicles in vehicular ad-hoc networks (VANETs), conditional privacy-preserving authentication (CPPA) schemes have been proposed. Given that existing schemes suffer from single point of failure due to centralized authorities, several distributed CPPA schemes have been proposed. However, these schemes all ignore the tight cementation between system secret keys and the authority, which could be a serious threat to system security, that the compromised authority may leak the system secret key. To address these issues, we propose a security enhanced decentralized conditional privacy-preserving authentication (DCPPA) scheme. DCPPA first introduces …

Decentralized Linear Solvers: Communication Cost And Privacy, Nelson G. Brasil, Vinay A. Vaishampayan

Publications and Research

We consider the problem of multiple parties iteratively solving a system of linear equations in a decentralized manner. Specifically, we solve for $\negr{x} \in \R^n$, the $n \times n$ system of linear equations $M\negr{x} = \negr{b}$ when each party only knows their row of the matrix $M$ and a single component of $\negr{b} \in \R^n$. Our objective is to determine the tradeoff between the accuracy of the solution and the total communication cost measured in bits. A fully connected, reliable mesh network is assumed to connect the different parties. We develop a general formulation that applies to a large class …

Tempo: Training-Time Equilibration Of Modalities For Per-Sample Optimization In Multimodal Sentiment, Yi Zhao, Erik Cambria, Xiaosong E, Xianxun Zhu

Research Collection School Of Computing and Information Systems

Multimodal sentiment models often become over-reliant on the “easiest” modality (typically text), leading to three coupled sub-problems: (i) representation-level dominance, where weaker modalities contribute little to the fused representation; (ii) optimization-level dominance, where the strongest modality drives most gradient updates and suppresses learning in others; and (iii) robustness degradation, where audio or vision fail under noise or missing inputs at test time. We present TEMPO, a plug-and-play training framework that mitigates these issues by rebalancing learning pressure across modalities while leaving inference unchanged. For each mini-batch, TEMPO estimates relative modality strength and applies two synchronized, training-only controls: selective forward attenuation …

Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark For Llms, Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

Research Collection School Of Computing and Information Systems

Reasoning is the fundamental capability of large language models (LLMs). Due to the rapid progress of LLMs, there are two main issues of current benchmarks: i) these benchmarks can be crushed in a short time (less than 1 year), and ii) these benchmarks may be easily hacked. To handle these issues, we propose the ever-scalingness for building the benchmarks which are scaling over complexity against crushing, instance against hacking and exploitation, oversight for easy verification, and coverage for real-world relevance. This paper presents Nondeterministic Polynomial-time Problem Challenge (NPPC), an ever-scaling reasoning benchmark for LLMs. Specifically, the NPPC has three main …

The “Green Persuasion Effect” Of Negative Messages: How And When Message Framing Influences Tourists’ Environmentally Responsible Behavior, Xuehuan He, Chengzhi Ye, Songshan Huang, Lujun Su

Research outputs 2022 to 2026

Tourist activities may harm the environment, making tourists’ environmentally responsible behavior particularly important in tourism research. This research investigates the persuasion effect of message framing in environmental protection reminders on environmentally responsible behavior. Through five studies employing both field and controlled experiments and different measures of environmentally responsible behavior across varied tourism scenarios, we demonstrate that negatively (vs. positively) framed messages more effectively increase environmentally responsible behavior. Specifically, negatively framed messages are more effective in enhancing tourists’ environmental awareness, which triggers more environmentally responsible behavior. Furthermore, we identify social class as a moderator of message framing effectiveness, showing that negatively …

Can Environmentally Friendly Hotels Lead Customers To Green Behaviors? Evidence From The Stimulus–Organism–Response Model And Social Cognitive Theory, Saeid Nosrati, Mohtaram Rabbani, Razieh Sharifipur Shirazi, Ilkay Yorganci, Niusha Talebzadeh, Negin Bassirat

Research outputs 2022 to 2026

Purpose Using the stimulus–organism–response model and social cognitive theory, this study aims to examine how environmentally friendly hotels influence customers’ green patronage intention and green word-of-mouth. The study explored the mediating effects of hedonic value and utilitarian value and the moderating role of environmental concern. Design/methodology/approach Data were collected from 200 customers of environmentally friendly hotels in Iran and analyzed using structural equation modeling (SEM) with Mplus (version 8.3) software. Findings The results indicate that environmentally friendly hotels positively influence hedonic and utilitarian values, as well as green patronage intention and green word-of-mouth. Additionally, hedonic and utilitarian values partially mediate …

Master's Recital: Anna Godtland, Anna Godtland

Dissertations and Theses @ UNI

The two purposes of this recital are to partially fulfill the requirements for the Master of Music degree in Jazz Pedagogy and to display proficiency on the drum set, piano, and string bass. Anna Godtland presented her graduate recital on April 27, 2026, at 7:30 PM in Bengtson Auditorium. The recital program included two pieces each on piano, drum set, string bass, and four pieces on trombone. These selections showcased an array of styles and required a variety of skills necessary to fulfill the requirements of the Jazz Pedagogy degree. The recital featured personnel from two UNI jazz combos (Cincopatos …

Echoes Of The Nation: Janáček, Bartók, And The Articulation Of Central European Identity In Opera, Elyse Morris

Dissertations and Theses @ UNI

This thesis examines how opera functioned as a medium for articulating and negotiating national identity in the final decades of the Austro-Hungarian Empire. Focusing on Leoš Janáček’s Jenůfa (1904) and Béla Bartók’s Bluebeard’s Castle (1911), it explores how composers employed dramatic structure, linguistic choice, and musical language to construct culturally specific forms of expression within a rapidly shifting political and social landscape. Drawing on approaches from musicology and cultural history, the study considers how operatic works not only reflect national identity but actively participate in its formation.

Through analysis of libretto, language, and musical style, this thesis demonstrates that both …

Examining Patient Safety Culture Trends In U.S. Healthcare Through A Multi-Year Analysis, Hassan Alabdullah

Graduate Studies Theses and Dissertations 2026

Patient Safety Culture (PSC) is recognized as a cornerstone of healthcare quality and a key determinant of patient outcomes. Despite the Institute of Medicine’s early calls to establish safety-oriented systems, evidence on the long-term stability of PSC in U.S. hospitals has remained limited. This dissertation addresses this gap through a multi-year evaluation of PSC using the Hospital Survey on Patient Safety Culture (HSOPSC v1.0) and advanced statistical methods. Drawing on one of the largest national datasets—comprising over 993,000 healthcare providers from 1,601 U.S. hospitals across three survey cycles (2013–2020)—the study employed a longitudinal repeated cross-sectional design. Analyses combined descriptive statistics, …

Rhetoric Of Opportunity: An Analysis Of Gullah Geechee Histories Through The Lens Of Counterstory, Xaria Arthur

Graduate Studies Theses and Dissertations 2026

Counterstory as a method/ology has been used in a variety of disciplines to share experiences of individuals and communities whose voices have been historically silenced or suppressed. Utilizing this methodological framework, my study shares the stories of six Gullah Geechee descendants with ancestral roots in the unincorporated community of Nesmith in Williamsburg County, SC. Treating these minoritized and individual stories as experiential knowledge, I trace the counterstories as topoi to introduce and develop the theoretical concept that I call the rhetoric of opportunity, which refers to memories or stories that have come to motivate individuals toward or away from …

The Uncanny And Uneasy: An Exploration Into Using Puppets To Share Dark Stories, Grace Auls

Graduate Studies Theses and Dissertations 2026

In this thesis, I will explore the role of puppetry and practical effects in evoking the uncanny and the uneasy as well as questioning the implications they have in dark theater and cinematic contexts. This paper will examine how puppetry and practical effects can contribute to potentially disturbing and dark imagery both on screen and in live theater. I will be focusing on looking at Jim Henson’s The Dark Crystal, as well as at different puppetry performances used in Voyage of the Little Mermaid (1992), Don’t Hug Me I’m Scared, Kirikou and the Sorceress (Kirikou et la Sorciere), and even …

Establishing And Testing Experiential Critical Theory (Ect), Dolores M. Batten Mrs.

Graduate Studies Theses and Dissertations 2026

There is a current gap in academia which has been largely overlooked in both pedagogy and assessment: the value of personal experience as key evidence of interpretation and meaning-making correlation. Aside from narrative writing, most current methods of literary analysis writing do not place a high value on personal experience beyond the inclusion of brief anecdotes. Yet experience is the major pathway by which an individual forms their worldview, which then informs the ways in which they interpret the world—and by extension, text. This dissertation both establishes and examines the use of Experiential Critical Theory (ECT) in pedagogical application for …

It's All The Same, Lauren A. Bedevia

Graduate Studies Theses and Dissertations 2026

It’s All the Same is a collection of short stories that center around lesbian characters. The stories explore themes such as ambition, morality, karma, mental health, exploitation, and relationships. The collection opens with “Forget Her Inc.,” a short story that juggles an ensemble cast of lesbians and examines whether memory eraser therapy is an ethical practice for treating a broken heart. “It’s All the Same,” the titular story, uses lyricism to present the parallels between two women in terms of family dynamics, interests, and attachment styles; the story explores a loving friendship between a lesbian and a straight woman.

“Fun …

An Integrated Framework For Last-Mile Delivery Optimization Using Reinforcement Learning And Social Media-Based Traffic Prediction In Underdeveloped Megacities, Vasanth Bhat

Graduate Studies Theses and Dissertations 2026

Supply chain management has become increasingly critical as transportation costs rise and urban delivery systems place additional pressure on already congested networks. Last-mile delivery—the movement of goods from distribution centers to end users—represents the most expensive and operationally complex segment of the logistics process, particularly in underdeveloped megacities characterized by unpredictable traffic, limited infrastructure, and sparse real-time data. This dissertation proposes an integrated framework for optimizing last-mile delivery in such environments by combining social media–based traffic intelligence, machine learning, and deep reinforcement learning. The framework leverages unstructured, real-time data from social media platforms to enhance traffic prediction and incorporates these …

Making Art For The Love Of The Game, Alissa Beth Burch

Graduate Studies Theses and Dissertations 2026

“Making Art for the Love of the Game” interweaves visual aesthetics from video games and associated online fan community practices with self-portraiture to reflect and process personal past medical trauma, a developmental period in online interactive environments, and showcases self-expressive fan content which joins an underrepresented and emerging sub-culture to contemporary art. Working through an interdisciplinary studio practice, combining printmaking, found-sticker collage, and painting refracts digital aesthetics found in online communities. I intentionally juxtaposed these physical modes of making with digital subjects to examine these subjects’ merit as artistic mediums.  It reflects a contemporary mode of art making, and acts …

The Place Between Places, Harrison Burke

Graduate Studies Theses and Dissertations 2026

The Place Between Places is a collection of essays centered on belonging. Focusing on the composition of city streets, theme parks, and hidden pockets of wonder, belonging is explored as the product of place and culture. The perspective of the collection shifts between reflection and active exploration, using present moment journeys as catalysts to unravel the past. In every new discovery there is a ghost, past and present journeys fighting for their place in the constructed narrative called “self.”

The collection primarily makes use of braided essays and nonlinear storytelling. “Animal” blends together three night walks through New York, Seoul, …

The Bite Model And Multi-Level Marketing: How Monat Propagates, Lilly D. Cheung

Graduate Studies Theses and Dissertations 2026

This study aims to understand how MONAT Global Corp, a Multi-Level Marketing (MLM) company, utilizes rhetoric that aligns with Steven Hassan’s BITE Model of Authoritarian Control. Hassan is a cult expert and cult survivor whose work primarily explains undue influence and thought control with BITE representing Behavior, Information, Thought, and Emotional control. The MLM MONAT is a haircare brand that operates through a recruitment-and-sales-based hierarchy, in which sellers sign up and work under one another in a layered marketing structure. To meet quotas and maintain ranks, representatives will use rhetorical strategies to recruit new sellers beneath them in their ‘downline’ …

Taming Wildfires, Bianca Dagostino

Graduate Studies Theses and Dissertations 2026

Taming Wildfires is a novella immersed in the mind of a young woman named Lilla with intense, undiagnosed mental illness attempting to reenter society after losing the crutch of her long-term partner. The novella engages with the intersection of queerness, mental illness, interracial relationships, and the society of recent past (2023-2024), and deals with themes of isolation, loss, self-image, and emotional healing. Readers are invited fully into Lilla’s mind as she navigates a long-term friendship strained by proximity and a new romance marred by omission. These relationships are overcast by her loss, her skewed reality, and her conflicting desires to …

En Tiempos De Extinción, Adialyz Del Valle Berríos

Graduate Studies Theses and Dissertations 2026

En Tiempos de Extinción is a collection of short, mostly speculative, stories exploring themes of community, exploitation, resistance, and the ever-present effects of colonialism in nearly every aspect of life. “El Amor de una Diosa es Amor Suficiente” centers on a young girl’s initiation into a community that will do whatever it takes to indoctrinate the young. “Al Aire Libre” focuses on two tenured professors determined to enjoy their last day on the job, navigating the complicated feelings of what progress means in a world that prioritizes capital. In “OVNI,” the history of a wacky television dating show unravels …

An Examination Of The Impact Of School Accountability On Data-Driven Decision-Making By Florida Educational Leaders, Emily Galucho

Graduate Studies Theses and Dissertations 2026

This mixed-methods study examined how accountability influences educational leaders' data-driven decision-making (DDDM) practices in Central Florida. Grounded in the principal-agent and consequential accountability frameworks, the study investigated demographic predictors, implementation challenges, and the role of accountability in DDDM. Educational leaders completed online surveys measuring DDDM perceptions across five subscales and responded to open-ended questions. The responses were analyzed through multiple regression, correlation, and thematic coding.

Accountability emerged as DDDM's strongest predictor, significantly exceeding demographic and organizational variables. Five implementation challenges were identified: Data Literacy Gaps, Data Timeliness Issues, Resource Constraints, Implementation Fidelity, and Systemic Barriers. Accountability demonstrated dual effects: many …

Physical Activity And Health Outcomes In Children With Dyslexia During Summer Versus School Months, Tina J. Glatz

Graduate Studies Theses and Dissertations 2026

Children in the United States continue to experience rising rates of overweight and obesity. Children with learning disabilities are twice as likely to have obesity than typically developing peers, partly due to difficulties with motor skills and behavior regulation. The purpose of this study was to examine and compare differences in health outcomes and physical activity (PA) during summer versus school months in children with dyslexia, using a within- subject study design.

At three timepoints (May, August, December 2025), children’s height, weight, and fitness were measured via a portable stadiometer, dual-frequency foot-to-foot bioelectric impedance device, and Progressive Aerobic Cardiovascular Endurance …

Reflection In Still Waters: Generative Ai's Production Of Language, Jonathan D. Hawks

Graduate Studies Theses and Dissertations 2026

Language is a conceptual process of meaning-making as well as a social construction as defined by Saussure, Bakhtin, and Lacan. Large Language Models (LLMs) engage with neither process and instead present language as a finished and consumable product which undermines its fundamental aspects. The difference between representing language through probability and its structural components instead of its more inherent qualities is not a pointless distinction. This paper utilizes Narcissus as a central metaphor to show how people misread the outputs of LLMs as language which imparts to those reflected words meaning on par with our own conceptualizations of reality. People …