Digital Commons Network^™

Waveguide-Assisted Single-Mode Fiber Bragg Gratings In A Highly Multimode Coreless Fiber Via Femtosecond Laser Inscription For Extreme Temperature Quasi-Distributed Thermal Sensing, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jeffrey D. Smith, Ronald J. O'Malley, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This research reports a potential quasi-distributed thermal mapping optical sensing system for extreme temperatures, leveraging femtosecond (fs) laser inscribed single-mode fiber Bragg gratings (FBGs) and a waveguide within coreless, highly multimode optical fiber, resulting in a single-mode structure. Unlike doped single-mode fibers, coreless fibers composed of silica rods prevent issues associated with dopant migration and ensure data accuracy. The strategic placement of point-by-point FBGs in a cascaded formation on the fs-laser inscribed waveguide facilitates localized multipoint sensing. The long-term stability of the proposed waveguide-assisted FBG system was assessed over 24 hours at elevated temperatures (1000°C), showing no hysteresis during heating …

Performance Analysis And Optimization Of Fructose Memristor-Based Neuromorphic Systems, Harshvardhan Uppaluru, Shakil Mahmud Jiban, Shah Zayed Riam, Feng Zhao, Jinhui Wang

Electrical and Computer Engineering Faculty Research & Creative Works

Natural organic memristors have demonstrated promising synaptic behavior, positioning them as strong candidates for synaptic devices in neuromorphic systems. This paper presents the fabrication and evaluation of a neuromorphic system based on natural organic 16-level and 32-level fructose memristors. First, the manufacturing process of fructose memristors is described in detail. Second, the nonlinear property associated with fructose memristors is investigated, and an optimization method is applied to address the nonlinear effects. The performance of the fructose memristor-based neuromorphic system on MNIST with a multi-layer perceptron and on CIFAR-10 with VGG-8 is evaluated and reported under various conditions -with/without nonlinearity optimization …

Enhancing Measurement Accuracy: The Impact Of Missing Data On Parameter Estimation In Mass-Spring-Damper Systems, Michkath Omanda Bouraima, Steven Thompson, Maciej J. Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

In sensor-driven dynamic systems, missing data can severely degrade parameter estimation accuracy. This article investigates the impact of missing data on phase estimation in a mass-spring-damper system using an information-theoretic framework based on the Cramér-Rao Lower Bound (CRLB). Closed-form CRLB expressions are derived for four scenarios: complete data, missing completely at random (MCAR) deletion, MCAR-based imputation, and missing at random (MAR) missingness via a selection-weighted formulation. These bounds are used as theoretical benchmarks to evaluate classical imputation methods (last observation carried forward (LOCF), linear interpolation) and advanced approaches (Kalman filtering, Rauch-Tung-Striebel (RTS) smoothing, Bayesian inference, and transformer-based imputation) through Monte …

Nash Equilibrium Strategies For Multicluster Pursuit–Evasion Game With Disturbances: A Prescribed-Time Convergence Approach, Lei Xue, Xian Yu, Yongbao Wu, Jian Liu, Changyin Sun, D. C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article investigates the problem of prescribed-time Nash equilibrium (NE) seeking for a multicluster pursuit–evasion game (PEG) subject to external disturbances. To mitigate the impact of disturbances and reach the NE within a user-defined prescribed time, a prescribed-time disturbance observer (PTDO) is devised to estimate and compensate for them. Based on this observation, a novel control algorithm is developed, which facilitates collaboration among multiple pursuers to capture multiple evaders within the prescribed time. It is theoretically demonstrated that the designed algorithm ensures prescribed-time convergence to the NE of the multicluster PEG with disturbances. Finally, numerical simulations are conducted to verify …

Deep Learning Based High-Resolution Electromagnetic Inversion Imaging Using Deep Convolutional Double-Module Structure, He Ming Yao, Shiji Song, Lijun Jiang, Michael Ng

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel deep learning (DL) approach has been proposed to realize high-resolution electromagnetic (EM) inversion imaging. The newly proposed approach is based on the deep convolutional double-module structure (DCDMS), consisting of the pixel-interpolating module and the corresponding quality-improving module. While the pixel-interpolating module roughly increases the 'resolution' of the initial input, the following quality-improving module realizes quantitative EM imaging in high resolution. The input of the proposed DCDMS adopts the mixed input scheme, consisting of the received EM scattered field and the initial reconstruction in much low resolution computed from Gauss-Newton method. The output of the proposed …

Lidar-Based Framework For Detecting Suspicious Human Activities, Ahd Aljumah, Charalampos Antoniadis, Hakim Ghazzai, Nawfal Guefrachi, Ahmad Alsharoa, Gianluca Setti

Electrical and Computer Engineering Faculty Research & Creative Works

This study explores the development of Human Activity Recognition (HAR) systems capable of identifying suspicious activities to enhance security in public spaces. We propose an innovative solution that integrates LiDAR sensors with deep learning technologies. Our method employs advanced models operating on LiDAR point cloud, PV-RCNN for human detection, and LidarGait++ for classifying activities into categories such as standing or walking (non-suspicious) and sneaking or fighting (suspicious). Due to the scarcity of suitable real-world datasets for training such systems, we utilize a 3D simulation tool, Blender, to create realistic environments and generate labeled point cloud data. This synthetic dataset allows …

Deep Learning Approach For Microwave Imaging Based On Deep Convolutional Asymmetric Encoder-Decoder Structure And Physics-Induced Loss, He Ming Yao, Shiji Song, Michael Kwok Po Ng, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we introduce an innovative deep learning (DL) methodology designed for real-time quantitative microwave imaging (MWI). Our approach is centered around the utilization of a deep convolutional asymmetric encoder-decoder structure (DCAEDS), which requires only a single-frequency far-field measurement of the electromagnetic (EM) scattered field as input and subsequently predicts the contrasts (permittivities) of the target materials. During the offline training process, we incorporate an EM forward solver specifically crafted to compute the EM scattered field generated by the predicted target contrasts (permittivities) produced by the DCAEDS. The DCAEDS is seamlessly integrated with this EM forward solver to optimize …

Artificial Intelligence And Consumer Well-Being: A Cross Domain Systemic Review, Setar Lytle, Mahesh Gopinath

Marketing Faculty Publications

Artificial intelligence (AI) is increasingly embedded in everyday consumption, yet evidence on its longer-term implications for consumer eudaimonic well-being remains dispersed across disciplines and application contexts. This review integrates that literature to clarify the domains, theoretical explanations, and conditions through which AI shapes consumer well-being. Following PRISMA and SPAR-4-SLR procedures, we reviewed research published from January 2010 to January 2026. From 6058 records, 480 studies across psychology, business, and human-technology interaction met the inclusion criteria. The evidence is organised through psychological, social, and technological perspectives and identifies six interconnected domains: mental health, cognitive development, physical health, personal growth, autonomy and …

The Role Of Soil In Historical Warfare: A Review, Gian Franco Capra, T. A.R. Nogueira, Cassio Hamilton Abreu-Junior, Arun Dilipkumar Jani, Rafael Barroca Silva, Eleonora Grilli, Alessandro Auzzas, Antonio Ganga

Biology, Agriculture and Chemistry Faculty Publications and Presentations

Soil has played a fundamental yet undervalued role in shaping the fate of historical warfare. While the effects of war on the soil environment have been thoroughly investigated, the impact of soil on military strategies and battle outcomes remains poorly understood. This review aims to: i) explore the multifaceted role of soil in warfare, focusing on its impact on several aspects (mobility, fortifications, camouflage, health, geopolitical strategy, etc.); ii) identify which soil types were usually most associated with conflicts, and iii) how soil features influenced military decision-making. A dataset of over 17,000 recorded battles (1468 BCE–2003) was …

The Effect Of Coercive Control With Digital Devices On Emotion Regulation In Preschool-Age Children: An Experimental Approach, Gina Burroughs

UNF Graduate Theses and Dissertations

The experiment was an investigation on the differences in child emotion regulation between two groups during a disappointing gift task. Fifteen four-to-five-year-olds were randomly assigned to either receive coercive control with a digital tablet or an emotion-coping intervention. All children received a disappointing gift a second time as emotion regulation strategies (cognitive reframing, self-soothing, comfort-seeking) were recorded. A χ² test revealed a nonsignificant difference between frequency of post-manipulation emotion regulation strategies. Three cognitive-reframing subtypes were coded and an independent-samples t-test revealed between-group differences approaching significance, suggesting that adults can teach cognitive reframing to this age range. Additional analysis revealed …

Using Maximum Entropy (Maxent) Tool In Arcgis Pro For Species Distribution Modelling Of Pseudoscorpions In The Pacific Northwest, Elliot Toshihiro Cochran

Masters in GIS Practicum Reports

The use of Geographic Information Systems (GIS) to create Species Distribution Models (SDMs) is rising among many scientific disciplines. Many professionals who were not originally focused on GIS are increasingly becoming more invested in this technology. SDMs are widely used to estimate species’ potential geographic distributions and to evaluate the environmental factors that constrain their ranges. The presence-only maximum entropy (MaxEnt) algorithm implemented in the MaxEnt tool in ArcGIS Pro was used in this project to model habitat suitability for two species of pseudoscorpions, M. pacificus and an undescribed species, in Oregon and Washington. Presence points (of specimen sample locations) …

Quantum Critical Behavior Of Diluted Quasi-One-Dimensional Ising Chains, Logan Sowadski, Thomas Vojta

Physics Faculty Research & Creative Works

(Formula presented.) (Formula presented.) is a unique magnetic material. It features bulk 3D magnetic order at low temperatures, but its quantum critical behavior in a magnetic field is well described by the 1D transverse-field Ising universality class. This behavior is facilitated by the structural arrangement of magnetic (Formula presented.) ions in nearly isolated zig-zag chains. In this work, we investigate the effect of random site dilution on the critical properties of such a quasi-1D quantum Ising system. To this end, we introduce an anisotropic site-diluted 3D transverse-field Ising model. We find that site dilution leads to unconventional activated scaling behavior …

Oregon’S History Of Using The Law To “Stack The Deck” In Favor Of White Males, Janet Steverson

Lewis & Clark Law Review

The United States has a sordid, racist history that permeates society still today. The State of Oregon has its own racist history, systematically excluding persons of Black African ancestry in its early years. This Essay explains this history and how seemingly historical practices continue to provide advantages to some, while detrimentally impacting others. This history is put in context by providing explanations of particular terms and this Essay further explains why examining these historical laws are critical in moving forward.

Taking Off The “Blindfold”: Exploring Montana’S Public Trust Doctrine And The Right To A Clean And Healthful Environment After Held V. Montana, Lizzy Gazeley

Lewis & Clark Law Review

As global average temperatures continue to rise, the threat of climate change looms closer. To evade climate catastrophe, greenhouse gas emissions will need to be substantially reduced. Despite climate change’s imminent risks, in the United States, both the federal government and states remain resistant to transitioning away from fossil fuel energy sources. To combat this government inaction, some litigants have turned to an ancient doctrine. The public trust doctrine provides that sovereigns must protect natural resources from substantial impairment to ensure the public’s right to use those resources.

In Held v. Montana, youth plaintiffs alleged that the State of Montana …

From Chainsaws To Courtrooms: Corporate Climate Litigation And Deforestation In Brazil, Maria Antonia Tigre, Mariana Barbosa Cirne

Lewis & Clark Law Review

Corporate climate litigation has emerged as one of the most dynamic and high-profile tools for addressing the private sector’s role in the climate crisis. While much of the scholarship and public debate has centered on cases in the United States and Europe, litigation targeting corporations in the Global South—particularly Brazil—has grown rapidly, both in volume and significance. Brazil now ranks among the world’s top jurisdictions for corporate climate damage claims. These suits have pioneered methods for quantifying climate damages, often from illegal deforestation, and have tested the reach of the civil liability regime in novel ways. This Article offers the …

Regulated Victimization: The Rise Of Human Trafficking Within The Oregon Massage Industry, Hannah Beaulieu

Lewis & Clark Law Review

Illicit massage businesses are massage spas that appear to operate as legitimate businesses but facilitate commercial sex acts behind closed doors. Recent law enforcement investigations in Oregon have revealed that some illicit massage businesses have facilitated the human trafficking of multiple victims. The illicit massage industry has steadily grown across the country but has especially boomed in recent years in Oregon. This Note investigates how the illicit massage industry has evolved to be so prevalent in our communities and what factors have contributed to the growth. It goes on to recommend ways to protect victims, to prevent further harm, and …

Quo Warranto In The Aftermath Of Loper Bright, Dennis Hall

Lewis & Clark Law Review

In 2024, the Supreme Court did away with Chevron deference in Loper Bright Enterprises v. Raimondo. One previously undiscussed consequence of this decision is how it opens the door to a broader use of quo warranto corporate charter revocation. Quo warranto is a legal remedy held by the states that has fallen into relative obscurity, but it has the power to regulate large corporations that have strayed from the bounds of acceptable activity. This Comment examines the history of corporations and corporate oversight regulation in the United States, as well as the history of quo warranto as a remedy. Additionally, …

A Case Of Acquired Amusia And Misophonia Following Right Temporal Resection, Emily R. Dappen, Joel I. Berger, Amy M. Belfi, Joel Bruss, Timothy D. Griffiths, Alexander J. Billig, Ariane E. Rhone, Kirill V. Nourski, Daniel Tranel, Brian J. Dlouhy

Psychological Science Faculty Research & Creative Works

Background: Our perception of the auditory world allows us to enjoy the richness of music and communicate effectively with others. These everyday processes are disrupted in conditions such as amusia, an inability to perceive music accurately, and misophonia, an intense emotional reaction to common sounds produced by others. We describe a case of acquired, concurrent amusia and misophonia in a 21-year-old right-handed woman following a right posterior insula, posterior temporal, supramarginal cortex, and sensory cortex resection for the treatment of drug-resistant epilepsy. Methods: The patient participated in interviews between 4–8 months post-resection. She completed an extensive testing battery designed to …

Character Judgements Of Rap Music Fans, Kaila C. Putter, Dan J. Miller, Amy M. Belfi, James Rees, Amanda E. Krause

Psychological Science Faculty Research & Creative Works

Extending Fischoff, we used vignettes to examine people's perceptions of a hypothetical rap fan accused of murder. Study 1 (N = 300) used a 2 (murder accusation) x 2 (inclusion of rap lyrics) x 2 (fan gender) experiment, asking participants to judge how capable of murder and sexually aggressive they found the fan. The presentation of lyrics and murder accusation were associated with the fan being more capable of murder, while rap lyrics and participants' rap attitudes were associated with the fan being more sexually aggressive. Thematic analysis revealed that, in conditions containing both the lyrics and the murder accusation, …

Unequal Shelter: A Constitutional Challenge To The Adams Administration’S Differential Treatment Of Migrants Under New York’S Right To Shelter Laws, Alexandra Arleo

Fordham Urban Law Journal

No abstract provided.

Federalism And Fair Housing: State Innovation Amidst Federal Retrenchment, Paula A. Franzese

Fordham Urban Law Journal

No abstract provided.

The Psychology Of Deception: Rethinking The Excited Utterance Exception For 911 Calls, Alexandra Spano

Fordham Urban Law Journal

No abstract provided.

Helpful Technology Tools, Niki Elliott Ph.D., Sylvia Mac

Inclusion in Postsecondary Education

No abstract provided.

High Temperature Diffraction From Aerodynamically Levitated Materials, Chris J. Benmore, Stephen K. Wilke, David Lipke, Richard Weber

Materials Science and Engineering Faculty Research & Creative Works

Aerodynamic levitation combined with laser beam heating has become an established technique for studying the structure of materials at ultra-high temperatures and under non-equilibrium conditions. This article briefly highlights some recent technical and scientific advancements in understanding the relationships between a material's behavior and its structure, investigated using diffraction methods. It focuses on three evolving frontiers: sophisticated sample environments for accessing metastable states and reactive chemistries, high-flux photon and neutron probes to reveal atomic structure, and advanced computational modeling frameworks. Free from contamination, containerless processing (levitation) can minimize heterogeneous nucleation at the interface, enabling access to deeply supercooled melts or …

A Combined Stochastic And Physical Framework For Alloys And Metal Casting Processes Modeling, Simon N. Lekakh, Oleg Neroslavsky

Materials Science and Engineering Faculty Research & Creative Works

High temperature metal casting processes have dualistic nature and conceptually consist of two parts of distinct processes: the first type is deterministic, strictly obeying the physical law, while the second type is stochastic. Therefore, the metal casting processes are not precisely predictable, and deterministic considerations cannot provide exact outcomes. To solve this problem, the combined stochastic and deterministic framework was suggested. The local processes were described using deterministic models for several parameter arrangements, while the distribution of these arrangements on macro level was calculated using stochastic approaches. The approach was used for cast alloy design, investment casting process optimization, and …

Thermal Transformations And Mechanical Properties Of All-D-Metal Mn2fecu Heusler-Type Shape Memory Alloy, Choji J. Daches, Joseph W. Newkirk, Mario Buchely

Materials Science and Engineering Faculty Research & Creative Works

All-d-metal Heusler alloys are emerging functional materials in which magnetic ordering, lattice distortion, and mechanical behavior are strongly coupled through d–d electronic interactions. This study systematically investigates the structural, thermal, magnetic, and mechanical properties of Mn₂FeCu synthesized within a Heusler-type compositional framework. SEM/EDS revealed a dual-phase FCC-based microstructure consisting of Mn–Fe–rich and Mn–Cu–rich domains, while XRD confirmed FCC symmetry with compositional partitioning rather than full L2₁ ordering. Differential scanning calorimetry identified partial melting of the Cu-rich phase near ~ 900 °C. Dilatometry showed a thermoelastic FCC → FCT transformation at ~ 770–780 °C with a recoverable strain of ~ 0.067%. …

Ideational Behavior And Occupational Identity Achievement: A Study Of Emerging Adult College Students Preceding Entry Into The Fouth Industrial Revolution Workforce, Carrington M. Faulk, Michael F. Kosloski, Philip Reed

Marketing Faculty Publications

As emerging adults transition into the Fourth Industrial Revolution (4IR) workforce, it is essential to understand the factors that predict successful occupational identity achievement, as automation will impact human occupational identity crises. This descriptive cross-sectional study employed a correlational design to determine the degree to which ideational behavior predicts occupational identity achievement prior to entry into the 4IR workforce. Using a sample of 166 emerging adult college students from a Mid-Atlantic, diverse, four-year university, data were collected using Runco's Ideational Behavior Scale (RIBS) and Melgosa's Occupational Identity Achievement subscale (OIA). Results showed that ideational behavior significantly predicted occupational identity achievement …

Math Anxiety, Math Self-Concept And Math Self-Efficacy: A Study Of The Jingle-Jangle Fallacies, Marsha Natasha Durrant-Walker

Dissertations

Problem

The overlap and lack of clear distinction among the constructs of math anxiety, math self-concept, and math self-efficacy presents issues for research and practice. The literature reveals that math anxiety is closely linked to math self-concept (Klee et al., 2022). Additionally, math self-concept and math self-efficacy often overlap and are not easily distinguishable (Kranzler & Pajares, 1997; Pajares & Miller, 1994; Pajares & Urdan, 1996). Each of these constructs has been shown to play a critical role in student math achievement (Timmerman et al., 2016). -- When constructs are not defined or measured distinctly, inconsistencies may emerge in research …

A Qualitative Multiple Case Study Exploring Shifts In Thinking Of Principals Through Initiatives To Foster Relational Leadership Conducive To Retaining Teachers In High-Minority, High-Poverty Public Schools, Rita Seay

Dissertations

Problem

The public education system is broken, and teacher shortages have reached a crisis, especially in some specialty fields in United States (Carrillo & Salhotra, 2022; Podolsky et al., 2016). Lately, the teacher workforce has been described as a “leaky bucket” (Podolsky et al., 2016, p. 1). Indeed, the problems are complex in poor socioeconomic communities with racial and ethnic groups of students because teachers struggle to make a difference and, in most cases, fail due to insurmountable situations that are beyond their scope of influence (Rondfeldt et al., 2013). Evidence published that students suffer immensely from a broken, segregated …

Teachers' Perspectives On Inclusive Education For Children With Special Needs, Abakah Francis, Ava-Gay Annakaye Morgan, Emmanuel Ogheneovo Sodje, Francis Dugbartey, Gabriel Lagbel, Okezie Chika Chibundu

Educational Leadership & Workforce Development Faculty Publications

Inclusive education is widely recognized as a key approach to ensuring equitable access to quality education for children with special needs, requiring teachers to possess adequate knowledge, skills, and supportive resources. In the Nigerian context, particularly in private schools, gaps in teacher training, limited resources, and insufficient institutional support continue to hinder the effective implementation of inclusive education practices. This study investigates teachers' perspectives on inclusive education for children with special needs in Nigerian private schools. The primary purpose is to assess teachers' understanding of inclusive education, their familiarity with effective teaching strategies, and their preparedness to implement inclusive practices. …