Digital Commons Network^™

Editorial: Invention Education And Stem: Perspectives And Possibilities, Joanna K. Garner, Shiri D. Gandhi, Adam V. Maltese

Center for Educational Partnerships Publications

[Introduction] Generating solutions for society's complex problems requires a diverse workforce dedicated to technological and social innovation, and sustained efforts toward invention: the process of creating new, novel, and useful products to overcome challenges that affect quality of life and productivity (Couch et al. 2019). Historically, opportunities for K-12 students to develop inventive acumen have been rare and inequitably distributed, partly because educators were expected to provide such experiences without the support of professional development, curricular materials, and instructional examples. These issues have become the focus of an emergent field called Invention Education (IvE). IvE uses trans-disciplinary, equity-oriented …

Rings With Q-Torsionfree Canonical Modules, Naoki William Endo, Laura P. Ghezzi, Shiro S. Goto, Jooyoun Hong Phd, Shin-Ichiro Iai, Toshinori Kobayashi, Naoyuki Matsuoka, Ryo Takahashi

Publications and Research

Let A be a Noetherian local ring with canonical module K A . We characterize A when K A is a torsionless, reflexive, or q-torsionfree module for an integer q ≥ 3 . If A is a Cohen–Macaulay ring, H.-B. Foxby proved in 1974 that the A-module K A is q-torsionfree if and only if the ring A is q-Gorenstein. With mild assumptions, we provide a generalization of Foxby’s result to arbitrary Noetherian local rings admitting the canonical module. In particular, since the reflexivity of the canonical module is closely related to the ring being Gorenstein …

Clarification Of Public Health Pathways Toward Clinical Careers: A Pilot Study Describing A Benchmark Analysis Project, Elizabeth A. Brown, Melissa Feliciano, Daniel Martinez

Health Behavior, Policy & Management Faculty Publications

Introduction: Undergraduate public health programs have adapted the required basic sciences based on medical and technological advances and the needs of the public health workforce. We aim to demonstrate how a benchmark analysis project was used to improve curriculum and develop a model where basic sciences in public health can be used to build pathways to clinical graduate programs like medicine, pharmacy, physician assistant, etc.

Methods: Authors conducted a benchmark analysis of Bachelor of Science in Public Health (BSPH) Degrees (or public health-related degrees) in the southern region of the United States (US) to explore required basic sciences. Authors searched …

Disparities Between Reported And Actual Study Habits And Perceptions Among First Year Occupational Therapy Graduate Students, Melisa P. Kaye, Marcella Mccollum, Sydney Hanzalik

Journal of Occupational Therapy Education

Studying for exams forms a significant part of the occupational therapy graduate school experience. While successful completion of exams is a central focus for students, little time is devoted to explicitly teaching new graduate students how to most effectively study. Instead, when they enter their occupational therapy programs, students experience a steep learning curve, and often rely on previous habits or trial and error to discover the most efficacious study strategies. The purpose of this study was to examine the study behaviors, habits, and beliefs of new graduate students to gain insight into the prevalence of use of various study …

Error In The Loop: How Human Mistakes Can Improve Algorithmic Learning, Ryan W. Copus, Cait Spackman, Hannah Laqueur

Faculty Works

Algorithms often outperform humans in making decisions, in large part because they are more consistent. Despite this, there remains widespread demand to keep a “human in the loop” to address concerns about fairness and transparency. Although evidence suggests that most human overrides are errors, we argue these errors can provide value: they generate new data from which algorithms can learn. To remain accurate, algorithms must be updated over time, but data generated solely from algorithmic decisions is biased, including only cases selected by the algorithm (e.g., individuals released on parole). Training on this algorithmically selected data can significantly reduce predictive …

Using A Token Economy In A First-Grade Classroom To Increase On-Task Behavior, Ana Kesler, Emma Preston, Milad Najafichaghabouri, Kristen R. Rolf

Special Education and Rehabilitation Counseling Faculty Publications

Token economies are an adaptable intervention used effectively in many settings to improve behavior, including schools. When used in schools, students are often given a board or chart on which to collect tokens (i.e., small items or marks) for desired behavior(s). Tokens are then exchanged for students’ preferred rewards. This chapter presents a case study of token economies implemented with five students who were unresponsive to class-wide (Tier 1) strategies in a general education first-grade classroom. The intervention was designed and implemented by a paraeducator who worked collaboratively with the classroom teacher to select students, develop intervention procedures, collect and …

Implementing Reading Mastery As A Component Of Tiered Literacy Instruction, Kristen R. Rolf, Peter Ehlen, Teresa Buttars

Special Education and Rehabilitation Counseling Faculty Publications

Despite attempts at reform over the decades, many students with and without disabilities in the United States struggle to learn to read. Bear River Charter School is a K-6 public charter school in Utah that has effectively used Reading Mastery Signature Edition to teach most students to read at grade-level by the end of third grade. Data from the 2022-2023 school year show that over 80% of students in kindergarten, over 70% of students in Grades 1 and 2, and over 90% of students in Grade 3 met grade-level reading benchmarks by the end of the year. This chapter describes …

Between Prompt And Page: Writing, Reflection, And The Rise Of A.I. Collaboration, Mallory Bowen

Master's Projects

This Capstone examines how generative AI reshapes the act of writing by treating co-writing itself as a site of inquiry. Using an autoethnographic method, I document my collaboration with ChatGPT across months of drafting, tracing how the model’s predictions influence tone, syntax, and rhetorical choice. The project argues that large language models are not neutral tools but participants in a shared writing process shaped by the linguistic hierarchies embedded in their training data. Through examples of prompting, revision, and negotiation, I show how AI leans toward standardized English, simplifies sentence structure, and reproduces dominant linguistic norms, often in ways that …

Influence Of Multi-Species Data On Gene-Disease Associations In Substance Use Disorder Using Random Walk With Restart Models, Erich J. Baker, Everest U. Castaneda, Sharon Moore, Jason A. Bubier, Stephen K. Grady, Michael A. Langston, Elissa J. Chessler

Funded Scholarship

A major challenge lies in discovering, emphasizing, and characterizing human gene-disease and gene-gene associations. The limitations of data on the role of human gene products in substance use disorder (SUD) makes it challenging to transition from genetic associations to actionable insights. The integration of data from multiple diverse sources, including information-dense studies in model organisms, has the potential to address this gap. We demonstrate a modified performance of the Random Walk with Restart algorithm when multi-species data is integrated in the heterogeneous network within the context of SUD. Additionally, our approach distinguishes among disparate pathways derived from the Kyoto Encyclopedia …

Variation In Maternal Alkaloid Provisioning And Its Effects On Antimicrobial Defense In Tadpoles Of The Poison Frog Oophaga Pumilio, Erica Berent

Masters Theses

No abstract provided.

Contemporary Pain Neuroscience Knowledge And Attitudes Among Students: A Cross-Sectional Study, Sue F. Curfman, William J. Best, Molly T. Williams, Kathryn Schmidt, Amy Rasmussen, Gary P. Austin

Funded Scholarship

Purpose: Healthcare education programs often provide limited training in contemporary pain neuroscience, leaving future professionals ill-prepared to address the pervasive and biopsychosocial problem of chronic pain. Exploration of the level of understanding of contemporary pain neuroscience and the attitudes toward people in pain among university students may help educators identify appropriate roles for students in pain-related interprofessional education. This study assessed and compared knowledge of contemporary pain neuroscience and attitudes and beliefs toward individuals experiencing pain among university students.  

Design: Cross-sectional observational study. Methods: 284 undergraduate and graduate, healthcare and non-healthcare students completed the revised Neurophysiology of Pain Questionnaire and …

Genetic Influences On Individual Variability In Western Lowland Gorilla (Gorilla Gorilla Gorilla) Social Behavior, Hadley Mueller-Hill

Master's Theses

While primates are considered highly social animals, the evolutionary origins and mechanisms underlying their social behaviors remain unclear. Not only do they exhibit an extensive range of behaviors, but individuals within the same species can also vary widely in their social interactions. Genetics play a significant role in shaping these individual variations in behavior; multiple genetic variants have been associated with differences in social behavior in mammals. Examples of these include MAOA and OXTR genes, which influence the expression of behaviors associated with antisocial and prosocial temperaments. Genetic polymorphisms affect primate interactions, impacting an individual’s ability to maintain its status …

Factors Influencing Reflection And Self-Assessment Of Simulation Performance: Comparing Student And Preceptor Ratings, Kaitlin R. Sibbald, Diane E. Mackenzie

Journal of Occupational Therapy Education

Simulation with simulated patients is increasingly used in occupational therapy. Ensuring the debrief component meets student needs to develop their self-assessment skills for participating in a self-regulating profession is essential. This explanatory mixed-methods research sought to explore factors contributing to accurate and inaccurate self-assessment of simulation performance for novice occupational therapy learners in a part-time introductory fieldwork course. Self-ratings and preceptor-ratings of performance on eleven simulation objectives were compared for sixty-five novice occupational therapy students. Factor analysis was used to explore contributors to differences in ratings between students and preceptors. Students’ written plus-delta debrief reflections were analyzed to explore what …

Demographic Factors As Predictors Of Academic Performance In First- And Second-Year Occupational Therapy Students, Eileen Du Plooy, Daleen Casteleijn, Denise Franzsen, Gopika Ramkilawon

Journal of Occupational Therapy Education

Significant disparities in academic performance that may be associated with specific demographics can be utilized for supporting diverse student cohorts. Strategies can be developed for students to enhance equity and inclusivity in undergraduate occupational therapy education to ensure student success. This study aimed to determine the predictive demographic factors influencing academic performance among first- and second-year undergraduate occupational therapy students at a university in South Africa. A quantitative, cross-sectional design was utilized, and the sample included 129 first- and second-year students. Data were collected retrospectively from university records and student dashboards. Key demographic and academic variables were analyzed, including personal …

Understanding And The Perceived Value Of Contemporary Pain Neuroscience Education Among Occupational Therapy Students, Sue E. Curfman, Elicia Dunn Cruz, Diana A. Harrison, Will J. Best, Kathryn Schmidt

Journal of Occupational Therapy Education

Chronic pain is a leading cause of global disability, yet occupational therapy education often lacks sufficient coverage of multidisciplinary pain management approaches. The purposes of this study were to 1) determine the level of understanding of contemporary pain neuroscience in occupational therapy doctoral (OTD) students; 2) evaluate the effectiveness of instructional techniques to improve their knowledge of contemporary pain neuroscience; and 3) explore their perceptions of pain neuroscience and its implications for their future roles. This pre-post test within-subject experimental design study, involving 39 OTD students, assessed the impact and perceptions of a two-hour pain education module. The revised Neurophysiology …

Vanishing Of Local Cohomology With Applications To Hodge Theory, Scott Hiatt

Mathematics Faculty Publications

Let H = ((H, F •), L) be a polarized variation of Hodge structure on a smooth quasi-projective variety U . By M. Saito’s theory of mixed Hodge modules, the variation of Hodge structure H can be viewed as a polarized Hodge module M ∈ HM (U ). Let X be a compactification of U , and j : U ↪→ X is the natural map. In this paper, we use local cohomology with mixed Hodge module theory to study j+M ∈ DbM HM (X). In particular, we study the graded pieces of the de Rham complex GrF p DR(j+M) …

Consequences Of Fire And Grazing To Conservation Of Arthropod Functional Diversity In A Protected Afrotropical Savanna, Ludzula Mukwevho, Tatenda Dalu, Mduduzi Ndlovu, Frank Chidawanyika

All Peer-Reviewed Publications

Fires and grazing disrupt the diversity and composition of biological organisms and their functions in the savannas. In the current study, we assessed the impact of fire and grazing intensities on the abundance, species richness and assemblages of eight functional groups of arthropods in Kruger National Park. Pitfalls and active searches were used to collect arthropods at the experimental burnt plots (EBPs) and grazed plots that were undisturbed, minimally or heavily disturbed in Mopane and Skukuza regions. Omnivores constituted the highest proportion (40 %) of individuals, whilst detritivores, granivores, hematophagous, herbivores, nectarivores, predators and scavengers constituted between 0.5 % and …

Global Strategies To Manage Huanglongbing (Hlb) And Its Vectors: Insights And Implications For The Mediterranean Region, Meritxell Pérez-Hedo, Mark S. Hoddle, Fernando Alferez, Lochy Batista, George A.C. Beattie, Shourish Chakravarty, Paul Holford, Fathiya Mbarak Khamis, Inusa Jacob Ajene, Aruna Manrakhan, Paul H. Fourie, Maritza Luis, Eduardo Osorio-Hernández, Mamoudou Sétamou, Alejandro Tena, Pedro Takao Yamamoto, Tara Wade, Changyong Zhou, Nian Wang, Lukasz L. Stelinski, Alberto Urbaneja

All Peer-Reviewed Publications

Huanglongbing (HLB), also known as citrus greening disease, poses a severe threat to the global citrus industry. This disease is caused by three species of bacteria, ‘Candidatus Liberibacter asiaticus’, ‘C. L. africanus’, and ‘C. L. ameri-canus’. The primary pathogen vectors are the Asian citrus psyllid (Diaphorina citri Kuwayama, Hemiptera: Psyllidae) and the African citrus psyllid (Trioza erytreae Del Guercio, Hemiptera: Triozidae). The disease is incurable, and its management relies on reducing vector densities and the adverse effects of bacterial infections on host trees. Managing psyllid vec-tors, especially D. citri, has proven exceptionally challenging due to its rapid spread and subsequent …

How Artificial Intelligence Will Shape Securities Regulation, Gabriel Rauterberg

Other Publications

How will the increasing prevalence and sophistication of artificial intelligence (AI) change the doctrine and practice of securities law? My main thesis is that it will push securities regulation toward a more systems-oriented approach. This approach will replace securities law's emphasis, in areas like manipulation, on forms of enforcement targeted at specific individuals and accompanied by punitive sanctions with a greater focus on ex ante rules designed to shape an ecology of actors and information.

Chironomids Shed Light On Organic Matter Dynamics In Macroinvertebrate Communities In Prairie Pothole Lakes In West-Central Minnesota, Usa, Tracey M. Anderson, Sarah G. Winikoff, Michael L. Sorensen, Melissa L. Rudeen

Biology Publications

The Prairie Pothole Region (PPR) in North America is characterized by a high density of wetlands that can range from temporary habitats to small lakes. Much of the PPR has been converted to agriculture resulting in outright habitat loss, eutrophication, sedimentation, introduction of agrochemicals, and the introduction of invasive plants and animals. We compared two prairie pothole lakes, Cottonwood Lake and Page Lake, to assess the functional roles and trophic structure of the macroinvertebrate communities in this highly altered landscape. We collected macroinvertebrate samples from littoral and profundal regions of each lake with an Ekman grab sampler in winters of …

Transformative Impact Of Ai And Digital Technologies On The Fintech Industry: A Comprehensive Review, Soudeh Pazouki, Behdad Jamshidi, Armia Jalali, Arya Tafreshi

Finance Faculty Publications

This paper examines the impact of artificial intelligence (AI) and digital technologies on the financial technology (FinTech) industry and demonstrates how AI- enabled strategies are increasing the ability of businesses not only to grow, but also to better serve their customers through operational efficiencies. But as immersive as the technological advancements may be, they present challenges in connection with increasingly complicated licensing regulations and a constantly evolving technological landscape. We examine the way AI and algorithms are streamlining workflows, enhancing productivity and expanding access to financial resources for traditionally under – served populations. The paper also discusses the macroeconomic implications …

Emotional Balance, Health, And Resilience At The Start Of Covid-19 Pandemic, David Pincus, Bernard P. Ricca, Brooke Jenkins, Julia K. Boehm, Vincent Berardi, Amy C. Moors, David A. Frederick

Psychology Faculty Articles and Research

Self-organizing systems can shift between stability and flexibility in response to perturbation, a potential adaptive mechanism for understanding biopsychosocial resilience. Inverse Power-Law (IPL) structure, a frequency distribution that describes fractal patterns commonly produced by self-organization, produce measurements of stability and flexibility. This study applies these measures to emotional resilience at the start of the Covid-19 pandemic. Ratings of frequency over the past week (1-5 Likert scale) across 12 emotions (six positive and six negative) gathered in mid-April 2020 as part of a survey of adults’ (N = 4,094) pandemic experiences and health in the USA. The distributions of everyone’s emotion …

Organization And Activation Of Caffeine Expectancies, Catherine S. Forsyth

Honors Undergraduate Theses

Caffeine is the most consumed and widely used psychoactive substance in the world. Whether someone uses caffeine or not, expectations about use can be influential to some degree. Expectancies exist everywhere and are extremely influential in all aspects of life. Regarding drug use, expectancies can affect behavior, outcomes, and one’s experience with the drug. Caffeine is no exception, caffeine expectancies have been seen to play a role in several actions such as the development, maintenance, and reinforcement of caffeine use. This study examined latent use profiles of caffeine and relationships between the profiles and the activation of caffeine expectancies. Multidimensional …

Generation Z’S Perception Of Skin Cancer And How It Relates To Climate Change, Piercen Bogolea

Honors Undergraduate Theses

Skin cancer is the most common cancer worldwide, and climate change has been identified as a significant contributor. Preventative action early on can help reduce occurrence, but it is unknown if Generation Z is aware of this and is taking the necessary action now to protect themselves. This research aims to gauge the perception of Generation Z on the severity of skin cancer, the relationship between climate change and skin cancer, and the prevalence of preventative measures being taken. A survey was distributed to students aged 18 to 27 enrolled at the University of Central Florida through mixed sampling. The …

Qcd Factorization With Multihadron Fragmentation Functions, T. C. Rogers, M. Radici, A. Courtoy, T. Rainaldi

Physics Faculty Publications

Important aspects of quantum chromodynamics (QCD) factorization theorems are the properties of the objects involved that can be identified as universal. One example is that the definitions of parton densitiesand fragmentation functions for different types of hadrons differ only in the identity of the nonperturbative states that form the matrix elements, but are otherwise the same. This leads to independence of perturbativecalculations on nonperturbative details of external states. It also lends support to interpretations ofcorrelation functions as encapsulations of intrinsic nonperturbative properties. These characteristics have usually been presumed to still hold true in fragmentation functions even when the observed nonperturbative …

Thermal Analysis For The Fundamental Power Coupler Of The 197 Mhz Crab Cavity For Eic, A. Castilla, J. Guo, N. Huque, S. De Silva, Jean Delayen

Physics Faculty Publications

The Electron-Ion Collider (EIC) is being designed by BNL in collaboration with Jefferson Lab. The Phase-I design includes the installation of two cryomodules of 197 MHz crabbing cavities installed at the Hadron Storage Ring (HSR) at the interaction region, IP6 that has a crossing angle of 25 mrad. Each cryomodule consists of two 197 MHz RFD type crabbing cavities. The first article cavity has been designed following the machine requirements and specifications including the fundamental power coupler (FPC), higher order mode couplers, and field probes. A detailed rf analysis has been completed to determine the worst operational case of the …

Generated Image Quality Assurance And Generative Adversarial Network Augmentation For Machine Learning, Dirk Holscher

School of Engineering, Computing and Mathematics Theses

The advancement of machine learning is heavily dependent on the quality of data used for training models. This thesis explores the enhancement of data quality and augmentation techniques using Generative Adversarial Networks (GANs), pecifically focusing on the Pix2Pix architecture. The research addresses the critical challenges of improving image quality, optimizing hyperparameters, and detecting fake images generated by GANs, aiming to enhance the robustness and eliability of machine learning models. This work presents a collection of metrics for measuring data quality for both structured and unstructured data. Furthermore, it defines data quality for machine learning, divided into three quality levels. Advanced …

A Protocol Agnostic Electrically Transparent Distributed Switch Fabric For It/Ot Testbenches, Wesley Andrews

School of Engineering, Computing and Mathematics Theses

This thesis presents the design and development of custom hardware, based upon RF (Radio Frequency) MEMS (Micro Electro-Mechanical System) switch technology and a grounded, conductor backed, edge coupled, coplanar waveguide transmission line design to facilitate protocol-agnostic, electrically transparent switching of different hard-wire protocols, such as Ethernet, USB (Universal Serial Bus), CAN (Controller Area Network) bus, RF and more within an IT/OT (Informational/Operational Technology) environment. This is achieved through a distributed, decentralised switch fabric composed of individual switch fabric nodes, which achieves fully reconfigurable IT/OT environments at the electrical level. Traditional IT/OT environments consist of diverse systems involving computers, network switches, …

Anomaly Detection Based Post Gripping Perception For Industrial Logistics Robotics, Firas Zoghlami

School of Engineering, Computing and Mathematics Theses

The adoption of low volume high mix manufacturing lines in global production sites has lead to a great need for flexible automation solutions. Flexible intelligent robots as an example are increasingly deployed in new industrial environments, such as the intra-logistics, in order to increase the automation level of the mentioned manufacturing lines. The lack of structure and the high dynamic of such industrial environments lead to potential performance deterioration related to unexpected events that are not recognized by the robot. Detecting such changes in the robot environment is believed in this thesis to be possible with anomaly detection techniques which …

Delivery Of Medical Supplies To Remote Locations Via Unmanned Aerial Vehicles: Approaches, Challenges, And Solutions, Meshari Aljohani, Ravi Mukkamala, Stephanie Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming more important in improving healthcare logistics, in particular due to their cost effectiveness, minimized risk, and versatile operational capabilities. This study explores the deployment of autonomous UAVs to deliver medical supplies to remote areas. Advances in ledger technology, smart contracts, and machine learning have transformed tasks previously managed by human teams or manually controlled UAVs into fully autonomous missions. We present a comprehensive analysis of the challenges and initial solutions vital for the effective use of autonomous UAVs in the delivery of medical supplies. In addition, we propose a machine-learning model to optimize UAV …