Digital Commons Network^™

Dynamics Of Household Food Insecurity Vulnerability: Examining Health, Functional Limitations, And Income Stability, Renita Washburn

Graduate Studies Theses and Dissertations 2026

Household food insecurity is a multidimensional issue affecting millions of households in the United States. While research has established that low income and poor health or functional limitations can increase the risk of food insecurity, current approaches do not fully capture these dynamic processes to identify long-term vulnerability. Specifically, income-based measures rely on static thresholds that miss instability, potentially underestimating risk. Gaps also remain in understanding persistent food insecurity, including how functional limitations (difficulties with activities like bathing, shopping, or managing finances) are associated with insecurity over time. These functional limitations can impact both economic factors (such as the ability …

Site Use And Demographic Changes In A Northwest Atlantic Sea Turtle Foraging Ground, Ryan C. Welsh

Graduate Studies Theses and Dissertations 2026

and site fidelity, making mortality difficult to distinguish from redistribution. We developed a behaviorally explicit framework to separate true mortality from changes in availability caused by movement and redistribution. We evaluated this problem for juvenile green turtles (Chelonia mydas) and loggerhead turtles (Caretta caretta) captured at the St. Lucie Nuclear Power Plant intake canal on Florida’s Atlantic coast using a multi-decade capture–mark–recapture record spanning 1977 - 2023. Hidden Markov Models classified individuals into latent habitat-use strategies (Nomadic, Resident, and Transient) based on capture timing and body size. Across both species, these strategies captured consistent differences in site fidelity and recapture …

Resources And Coping Strategies In Adverse Work Situations: A Person-Centered Approach, Chad Yagey

Graduate Studies Theses and Dissertations 2026

The resilience process model highlights an approach to how people mobilize their resources to cope and positively adapt in the face of adversity. Leveraging Conservation of Resources (COR) theory and the Work Home Resources Model (WHRM), I aim to uncover the extent to which resilience capacity (resources) and resilience enactment (coping) influence outcomes of resilience, offering one of the first empirical tests of the resilience process model. Specifically, COR theory posits that the more psychological resources someone has, the more successful they are in coping. I challenge this notion by examining whether specific profiles of the combination of resources available …

Ecological And Evolutionary Responses To Environmental Change In Two Large North American Mammals, George Zaragoza

Graduate Studies Theses and Dissertations 2026

Climate change and urbanization are resulting in rapid shifts in ecosystems. The effects of these changes are complex, and understanding how species respond is critical for predicting their impacts on genetic diversity and evolution, as well as changes in habitat suitability. Species can respond to these changes in two major ways: through behavioral or genetic adaptation, or by moving to more suitable habitat as conditions change. Adaptive genetic change, in particular, can support behavioral and physiological responses that enable species to persist in novel or changing environments, and understanding these changes can help predict how species will respond to anthropogenic …

Infrared Systems And Their Application On Target Detection And Geolocation, Li Zhang

Graduate Studies Theses and Dissertations 2026

The infrared spectrum contains various sub-bands (from near infrared (NIR) to long-wave infrared (LWIR), which are specialized at different detection tasks. Objects that are well camouflaged to human vision can be highly noticeable in NIR imagery. For vision navigation, the varying illumination condition and the cluttered urban background poses challenges in the visible band but can easily be resolved by using a thermal imager operating in LWIR. Despite this potential, practical deployment remains limited by the lack of suitable platforms, task-specific datasets, and long-duration field validation. This dissertation addresses these gaps through the design and evaluation of two infrared sensing …

Bowtie Antenna-Coupled Bi₂Te₃–Sb₂Te₃ Thermoelectric Detector For Millimeter-Wave Radiation, Rumana Zahir

Graduate Studies Theses and Dissertations 2026

We explore the development of antenna-coupled thermoelectric detectors for long-wavelength radiation using sputtered bismuth telluride (Bi₂Te₃) and antimony telluride (Sb₂Te₃) thin films. Detection in the infrared, millimeter-wave, and terahertz regimes is critical for sensing, imaging, and energy applications; however, many existing detectors rely on cryogenic operation, exhibit narrow spectral response, or require complex material systems. In this work, we investigate the feasibility of reliable, room-temperature long-wavelength detection using microfabricated thermoelectric thin films integrated with antenna structures. A systematic full-factorial experimental approach was employed to determine how sputtering parameters and post-deposition annealing influence …

Photothermal Excitation And Optical Interferometric Readout Of Mos2 Nanomechanical Resonators, Sadia Afrin

Graduate Studies Theses and Dissertations 2026

Two-dimensional (2D) materials have emerged as promising candidates for nanoelectromechanical systems (NEMS) due to their exceptional mechanical, optical, and electrical properties. Among these materials, molybdenum disulfide (MoS2) has attracted considerable interest for nanomechanical resonator applications because of its low mass density, high mechanical strength, and semiconducting nature. This thesis presents the fabrication, theoretical modeling, and experimental characterization of suspended MoS2 drumhead resonators. The devices were fabricated by mechanically exfoliating MoS2 flakes from bulk MoS2 crystals and transferring selected flakes onto pre-patterned substrates using a dry-transfer process. Mechanical resonance was excited through photothermal actuation using a modulated blue laser, while device …

Cfd Analysis Of A Full Heat Exchanger Between Ammonia And Supercritical Co2 In Aviation Application, Mairah Ahmed

Graduate Studies Theses and Dissertations 2026

The aviation industry’s transition toward lower-carbon propulsion systems has accelerated interest in alternative fuels, including ammonia–hydrogen fuel blends. In this work, a supercritical CO2 Brayton cycle is integrated with the exhaust stream of a turbofan engine to recover waste heat and utilize it for ammonia preheating and cracking. The recovered thermal energy raises the ammonia temperature to the level required for catalytic decomposition, enabling onboard hydrogen production. The proposed architecture combines ammonia cracking with a high-bypass, two-shaft turbofan engine representative of the propulsion system employed on the Boeing 737 MAX 8. This approach addresses the challenges associated with onboard hydrogen …

Pseudo-Boiling Of Supercritical Co2 In A Parallel-Flow Microchannel And A Micro-Jets Impingement Device And Single-Phase And Two-Phase Heat Transfer Of Subcritical Co2 Jets, Pranzal Ahmed

Graduate Studies Theses and Dissertations 2026

Carbon dioxide (CO2) is gaining attention as a low-toxicity, zero-ozone-depletion refrigerant with a global warming potential of 1, making it an attractive alternative to synthetic HFCs/HFOs. Near its critical point, CO2's thermophysical properties change sharply with small shifts in temperature and pressure — a behavior that can be exploited to enhance heat transfer in trans-critical power cycles and electronics cooling. This dissertation experimentally investigates heat transfer during the pseudo-boiling of supercritical CO2 in a parallel-flow microchannel and a micro-jet impingement device, alongside CO2 flow boiling and single-phase water heat transfer in micro-jet impingement. Using microfluidic devices instrumented with embedded resistance …

Learning Weibull Loss Severity Models From Truncated And Censored Data, Majed Alkhasha

Graduate Studies Theses and Dissertations 2026

In modern actuarial science and risk management, due to various loss control mechanisms, observed severity losses are typically left-truncated at the deductible, right-censored at the policy limit, and scaled by a pre-specified co-insurance factor. This results in two types of actuarial payment random variables: payment-per-payment (PPP) and payment-per-loss (PPL). To learn ground-up Weibull loss severity models from PPP and PPL sample data, we implement two estimation techniques: Maximum Likelihood Estimation (MLE) and the dynamic Method of Trimmed Moments (MTM). MLE is employed to obtain efficient estimates of the Weibull shape and scale parameters. However, MLE may assign unnecessarily large point …

Numerical Investigation Of Reacting Flow In Pmma-Fueled Solid Fuel Scramjet Combustors Under Experimental Test Conditions, Hunter Bassett

Graduate Studies Theses and Dissertations 2026

A simplified steady RANS-based numerical study of reacting flow in solid-fuel scramjet combustors is presented to evaluate the ability of commercial CFD frameworks to reproduce key features observed in experimental test sections. The work focuses on solid PMMA fuel in two supersonic combustor configurations: a cavity-assisted flameholding combustor and a variable-angle diverging combustor. The cavity combustor is analyzed as a baseline case and results are compared directly with experimental data. Three combustor geometry states corresponding to ignition, early-burning, and steady-burning conditions are investigated. Meshes are assessed through a systematic grid refinement method to establish grid independence. A novel variable-angle diverging …

Connecting The Existing Fiber Infrastructure To The Future With Antiresonant Hollow Core Fibers, Timothy Bate

Graduate Studies Theses and Dissertations 2026

Optical fiber systems based on solid-core silica waveguides underpin modern telecommunications, high-power laser delivery, precision sensing, and coherent optical systems. However, nonlinear effects, material absorption, and thermal limitations within silica increasingly constrain further scaling in both optical power and transmission performance. Antiresonant hollow-core fibers provide a promising alternative by guiding light predominantly in air, substantially reducing nonlinear interactions, latency, and optical damage while enabling transmission regimes inaccessible to conventional solid-core fibers. Despite rapid advances in antiresonant hollow-core fiber attenuation and power handling, one of the largest remaining barriers to widespread adoption is reliable integration with the existing solid-core fiber ecosystem. …

Sensory And Emotional Impacts On Modern Consumer Experiences, Winter E. Bland

Graduate Studies Theses and Dissertations 2026

This dissertation comprises two essays examining how environmental and psychological stimuli shape consumer experience, attitudes, and cognition. The first essay investigates the joint influence of scent temperature (warm versus cool) and scent arousal (stimulating versus relaxing) on experiential attitudes and cognitive performance in digitally mediated consumption environments. Across multiple lab experiments with biometric validation, findings reveal that these two scent dimensions interact to shape downstream outcomes. Warm, low-arousal scents (e.g., vanilla) enhance consumers' experiential evaluations of digital interactions but do not improve task performance, whereas cool, high-arousal scents (e.g., peppermint) boost cognitive efficiency and accuracy but do not elevate experiential …

An Exploration Of The Professionalization Of Graduate Students Using Rhetorical Theory, Jennifer M. Crowell

Graduate Studies Theses and Dissertations 2026

This qualitative study examines the professionalization of graduate students as a rhetorically mediated and relational process of identity development within an interdisciplinary doctoral program. While existing scholarship emphasizes institutional structures and formal mechanisms of professional preparation, less attention has been given to how graduate students experience professionalization at the individual level. This study addresses that gap by exploring how students interpret expectations, use rhetorical strategies, and construct professional identities across multiple disciplinary contexts.

Grounded in organizational rhetoric and community of practice theory, the study investigates how graduate students in the Texts & Technology Ph.D. Program at the University of Central …

Lost Innocence, Found Martyrdom: Childhood War Exposure, Narratives, And Militancy In Hezbollah, Léa Faure

Graduate Studies Theses and Dissertations 2026

What explains participation in armed insurgent groups? Existing literature has examined psychological, individual, structural, and organizational dynamics of mobilization, but rarely looks at all three in tandem. This can be problematic, since these explanations cannot on their own explain variations in participation. Research on the effects of individual exposure to war-related violence also cannot explain why in conflict-ridden, organizationally dense environments, mobilization is still relatively rare despite widespread violent exposure. This study creates a unified theory of participation around the interaction between childhood exposure to war-related violence and relatable timely group narratives. Focusing on the case of Hezbollah in Lebanon, …

Detecting Error In Ai-Generated Text: The Effects Of Authorship And Word Presentation Speed, Gabriela Flores Cruz

Graduate Studies Theses and Dissertations 2026

The increased us of artificial intelligent (AI) chatbots powered by Generative Pre-trained Transformers has raised concerns about users’ ability to detect errors of AI-generated text. This dissertation examined how readers identify inconsistencies in AI-generated expository passages using the inconsistency detection paradigm from comprehension monitoring research. Across two experiments, it investigated whether perceived authorship and word presentation speed influenced inconsistency detection. Experiment 1 used a 3 (author: human, AI, no author) × 2 (inconsistency type: internal, external) between-subjects design. Perceived authorship did not significantly affect hit rates, sensitivity, or response bias. Exploratory analyses indicated that reading comprehension and working memory predicted …

Integrated Optical Probes For Confocal Scanning Imaging And Adjustable Coherent-Gated Dynamic Sensing, Yonglin Huang

Graduate Studies Theses and Dissertations 2026

Optics and photonics have been one of the most important sciences and technologies that impact modern human life in a big way. For example, fiber-optics for communications and artificial intelligence. Optical probes are critical components for optical imaging and optical sensing technologies that have been actively researched and developed in the past decades. Advanced fiber-optic sensor probes with smaller size, better performance, lower noise, higher photon efficiency, rapid sensing time, and lower cost are needed in many applications, such as nanoscale material science, chemistry, and biomedical fields, etc.  In this project, new fiber-optic sensor probe technologies and integrated micro-optic devices …

The Odyssey Of Emotion Regulation In Extremis: How Challenges Lead To Team States Through Regulation And Psychological Safety In Ice, Andres Kaosaar

Graduate Studies Theses and Dissertations 2026

Isolated, confined, and extreme (ICE) teams experience challenges that require continuous emotional adaptation. Although emotion regulation (ER) has been recognized as critical for functioning in these contexts, little is known about how specific challenges shape regulatory responses, how team climate influences those responses, and how individual regulation accumulates into team-level outcomes. This dissertation develops and tests a multilevel framework linking challenge exposure, perceived psychological safety, individual ER, team emotions, and team viability in space analog environments. Data were collected from 36 crews (N = 184) participating in two-week missions at two space analog stations, yielding 2,577 daily observations and …

Internalized Shame, Self-Focused Attention, And Post-Event Processing In Everyday Social Anxiety, Wooje Lee

Graduate Studies Theses and Dissertations 2026

The purpose of this study was to investigate how emotional processes, represented by internalized shame and daily shame (from the emotion-focused therapy model), and cognitive processes, represented by self-focused attention and post-event processing (from cognitive-behavioral models), operate on a daily basis to contribute to social anxiety. Data collected from a sample of 39 individuals with high social anxiety via an online survey and daily diaries was analyzed using multilevel path analysis. The results showed that, at the within-person level, daily shame experienced during an important social interaction influenced self-focused attention during that same interaction and subsequent post-event processing, which in …

Armstrong V. Elizabeth, Southern District Of New York

Historical and Topical Legal Documents

No abstract provided.

Machine Learning-Based Intrusion Detection System For Iot Networks Using The Rt-Iot 2022 Dataset, Bukunmi Ebenezer Afolabi

Theses, Dissertations and Capstones

The rapid expansion of the Internet of Things (IoT) has transformed modern computing by enabling seamless connectivity among heterogeneous devices across diverse application domains. However, this increased interconnectivity has significantly enlarged the attack surface of IoT networks, exposing them to a wide range of sophisticated cyber threats. Conventional security mechanisms often lack the capability to detect emerging attacks in real time, thereby necessitating the development of intelligent Intrusion Detection Systems (IDS) capable of accurately identifying malicious network activities. This study developed and evaluated a machine learning-based intrusion detection framework for multiclass IoT attack detection using the RT-IoT2022 dataset. The dataset …

4-H Kindness Matters Scholarship, Kristen Lyons

UNH Cooperative Extension

No abstract provided.

America’S Recount Addiction, Derek T. Muller

Book Chapters

Election recounts are costly and rarely change the results. By narrowing recount laws and relying on more precise safeguards, states can cut costs, deliver final results more swiftly, and reinforce public confidence in elections.

Imprint: NYU Global Access Publications, 2026, Open Access Since 2026.

Perceptions And Knowledge Of Machine Learning For Paediatric Related Decision Support In Emergency Care – A Uk And Ireland Network Survey Study Of Clinician Leaders, Behalf Of Peruki, Fiona Leonard, Mark D. Lyttle, Dympna O’Sullivan, John Gilligan, Damian Roland, Michael Barrett

Research Outputs: 2025-Present

This study explores clinician leaders understanding and perception at site level towards machine learning (ML) decision support tools for paediatric related emergency care across the UK and Ireland, essential in guiding safe and effective frontline implementation. A cross-sectional online survey was distributed via Paediatric Emergency Research United Kingdom and Ireland (PERUKI) to the lead for digital systems or PERUKI site lead, with one response sought per site. Survey development was in REDCap, and descriptive analysis (counts, percentages) was primarily performed. The response rate was 86.7% (65/75), mostly from England (83.1%). While 80.0% understood ‘Artificial Intelligence’, fewer understood advanced concepts such …

Technical Skills And Their Roles In Agribusiness Supply Chain Management Education, Ryan Loy, Logan L. Britton, F. Bailey Norwood

Agricultural Economics and Agribusiness Faculty Publications and Presentations

The integration of advanced technical skills and supply chain management (SCM) tools is critical for the evolving demands of agribusiness. This study identifies the technical competencies, software proficiencies, and educational strategies essential for preparing students to excel in modern SCM roles. Through semi-structured interviews with 26 SCM professionals across US agribusiness sectors, the study highlights the demand for expertise in tools such as SAP, Power BI, and SQL alongside capabilities in data-driven decision-making and adaptability. Despite theoretical preparation, graduates often lack practical experience with industry-standard technologies, underscoring a gap in academic curricula. The findings suggest that agribusiness programs should emphasize …

Dragons And Giants And The Dream From Frog And Toad Together (1971) By Arnold Lobel, Peter Shea

Chapter Books

In Arnold Lobel’s classic story “Dragons and Giants,” Frog and Toad read a book about knights fighting dragons and giants and then measure themselves against those heroes, asking, “Are we brave?” Societies all over the world show children images of martial bravery from early on and then, at about age 18, draft them into the military to act out those ideals. In “The Dream” Toad dreams that a voice praises him as he performs on a stage while his friend Frog, applauding in the audience, keeps shrinking. But Toad can wake up from this dream and realize the expectations of …

Dermatology Skin Lesion Image Analysis, Victoria Wegley, Joshua Hoog, Tristan Crawford, Keith Miller, William Fons, K. Pugh, J. Taylor, S. Swinfard, A. Fernandes, G. Patel, J. Hagerty, W. V. Stoecker, Ronald Joe Stanley

Research Data

Dermatology skin lesion image analysis research has been ongoing at Missouri S&T (previously UMR) since the 1980s. Our group has been successful in finding over 20 key dermoscopic structures in melanoma, melanoma mimics, and nonmelanoma skin cancers using iterative structure-based analysis. Structures are chosen to reduce system errors which are concentrated in a few classes: amelanotic/featureless, regressed, and small in situ melanomas, and the most difficult benign lesions to identify: Clark nevi, lentigines, and seborrheic keratoses [1]. Preliminary research detecting and using annotated lesion structures [2-7] and lesion artifacts [8,9] guided by clinical experience [10] with image processing and deep …

A New Kind Of Muslim?: Islamic Identity, Digital Media And Youth In Oman, The "Switzerland Of The Middle East.", Paulo C. Oliveira

Faculty Publications

No abstract provided.

Scripture Spotlight: What Was The Role Of The Scapegoat?, Roy Gane

Faculty Publications

No abstract provided.

A Scalable Distillation And Metric-Learning Pipeline For Adaptive Weed Classification On Edge Devices, Abderrezak Allalen, Omar El-Gayar

Research & Publications

Smart agriculture increasingly relies on automated weed detection to reduce inputs and labor. Deploying deep learning on edge devices is difficult due to limited compute and evolving weed classes. We propose a pipeline that combines partial fine-tuning of an EfficientNet-B7 teacher, embedding level distillation into lightweight students (MobileNetV3, ShuffleNetV2, EfficientNet-B0), and semi-hard triplet metric learning. The system learns 2048D embeddings and is evaluated with N-way/K-shot episodes to mimic a few-label condition. Dynamic INT8 quantization enables CPU-only inference with minimal accuracy loss. The approach adapts rapidly to novel species with few labels while meeting real-time edge constraints, supporting sustainable herbicide management …