Digital Commons Network^™

It's Getting Hot In Here: The Heated Debate On The Censorhip Of Climate Change Education And Its Violation Of State Constitutions, Lilyan Jarreau

LSU Journal of Energy Law and Resources

No abstract provided.

Ahoy, Matey! I'Ve Harnessed The Wind: Turning Ocean Air Into Renewable Wind Energy, Amber Ferguson

LSU Journal of Energy Law and Resources

No abstract provided.

Construction Of Chinese Identities And Community: A Linguistic Ethnographic Study Of A Chinese Culture-Sharing Club At A Us University, Yuxuan Mu

USF Tampa Graduate Theses and Dissertations

Chinese identity has been viewed as a debated and contested notion in sociolinguistics (Wong et al., 2021). Existing sociolinguistic research, which has centered on Chinese identity-related questions, such as “Who can be or cannot be Chinese?”, has been closely involved with the current political tensions between mainland China, Taiwan, and Hong Kong, as well as their associated linguistic tensions between simplified Chinese writing and traditional Chinese writing, and Cantonese and Mandarin. Building on these studies, this dissertation goes beyond the scope of Sinophone contexts traditionally examined in prior research (e.g., mainland China, Singapore, Taiwan, Hong Kong) to examine how US …

Understanding Math-Anxious Teachers' Stories Of Comfort, Competence, And Confidence With Learning And Teaching Mathematics, Deborah Peart Crayton

USF Tampa Graduate Theses and Dissertations

Math anxiety is a complex issue that affects students and teachers. It has been researched for decades, but the focus has often been on addressing math anxiety in students, while finding solutions to support elementary teachers experiencing math anxiety has been overlooked. This study fills a gap in existing research by shedding light on math anxiety in elementary education and highlighting ways to address it by leveraging existing structures that support professional development. This qualitative narrative inquiry explores the experiences of four elementary educators who identify as math-anxious and how they report that math anxiety impacts their confidence in teaching …

Dual-Modal Tumor Imaging Using Functionalized Iron-Oxide Nanoparticles For Mri And Fluorescence, Kevin Secades

USF Tampa Graduate Theses and Dissertations

Accurate tumor imaging is essential for early cancer detection and treatment monitoring [1]. Technetium-99m (Tc-99m) is a commonly used radioisotope for medical imaging, but its reliance on gamma-ray emission poses challenges related to safety, accessibility, and regulatory constraints[2-5]. This research proposes the development of a dual-modal imaging approach by functionalizing iron-oxide nanoparticles (IONPs) with the fluorescent chromophore Cy5, enabling both MRI contrast enhancement and optical imaging for improved tumor specificity. IONPs provide strong T2-weighted MRI contrast [6], while conjugated near-infrared (NIR) chromophores allow for high-resolution fluorescence imaging [7], making this proposed system adaptable for both in vitro and in vivo …

Interview No. 1840, Norma Flores

Combined Interviews

This interview with El Pasoan Norma Flores reflects on her childhood growing up in Segundo Barrio and the strong family and community ties that shaped her life. Born in 1949 at Newark Methodist Maternity Hospital in South El Paso, she described growing up primarily with her grandmother on Grama St while her parents and siblings lived nearby on Frutas St. Norma shared vivid memories of her neighborhood life, including children playing outside together, helping with household chores and walking to school at Guardian Angel Catholic School. She recalled both joyful and difficult moments, such as spending summers outdoors with family …

Spartan Daily, March 11, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 21

Ulk4 And Cdkn2a Polymorphisms Influence The Risk Of Developing Monoclonal Gammopathy Of Undetermined Significance, José Manuuel Sánchez-Maldonado, Angelica Macauda, Antonio José Cabrera-Serrano, Hauke Thomsen, Murat Güler, Rob Ter Horst, Bethany Van Guelpen, Pavel Vodicka, Stefano Landi, Subhayan Chattopadhyay, Pelin Ünal, Lucía Ruiz-Durán, Delphine Casabonne, Hartmut Goldschmidt, Istemi Serin, María Carretero-Fernández, Elena Cabezudo, Fernando Reyes-Zurita, Alyssa I. Clay-Gilmour, Et. Al.

Faculty Publications

Monoclonal gammopathy of undetermined significance (MGUS) is a necessary precursor condition to multiple myeloma (MM). Given the role of autophagy in modulating MM risk, we investigated whether genetic variation in autophagy-related genes influences susceptibility to MGUS. We analyzed the association of 34,042 common autophagy-related single nucleotide polymorphisms (SNPs) with MGUS across six independent cohorts, five from Europe and one from North America, comprising 2317 MGUS cases and 282,358 controls. We also assessed their impact on immune parameters, including absolute counts of 91 blood-derived immune cell subsets and 103 circulating immunological proteins. Meta-analysis revealed a genome-wide significant association between the ULK4 …

Impact Of Medicaid Enrollment Timing On Tumor Stage At Diagnosis And Survival In Breast, Colorectal, And Lung Cancer, Gabriel A. Benavidez, Stella Coker Watson Self Ph.D., Ms, Anthony Alberg Ph.D., M.P.H., Janice Probst, Jan Marie Eberth

Faculty Publications

Background: Medicaid-insured patients experience higher rates of late-stage cancer diagnosis and worse survival than non-Medicaid patients. The impact of Medicaid enrollment timing on cancer outcomes is less clear. This study examines the association between Medicaid enrollment and timing with tumor stage and cancer-specific survival for breast, colorectal, and lung cancers. Methods: We analyzed SEER-Medicaid linked data for 276,755 breast, 104,784 colorectal, and 101,058 lung cancer patients < 65 years of age. Patients were categorized as non-Medicaid enrollees, pre-diagnosis enrollees (≥12 months before), or post-diagnosis enrollees (≤12 months after). Multivariable logistic regression estimated odds ratios of late-stage diagnosis, and cause-specific Cox proportional hazards models were used to assess cancer-specific survival, adjusting for demographic and socioeconomic factors. Results: Compared to non-Medicaid enrollees, post-diagnosis enrollees had the highest odds of late-stage diagnosis (breast cancer: OR: 3.41; colorectal cancer: OR: 3.78; lung cancer: OR: 1.87). Pre-diagnosis enrollees also had increased odds, but the …

2026-03-11 From Despair To Collective Action, Karli Calo

The Spectator Online

No abstract provided.

Communication Challenges Experienced By Telephone Triage Registered Nurses Providing Assessment Of Health Symptoms, Stacy Huddleston

Walden Dissertations and Doctoral Studies

Telephone triage nurses routinely assess symptoms and make clinical decisions without visual contact, which introduces complex communication challenges. Language differences, emotional distress, cultural misunderstandings, and the absence of visual cues may influence how symptoms are described, interpreted, and acted upon during telephone encounters. The purpose of this qualitative interpretive description study, guided by Peplau’s theory of interpersonal relations, was to explore how RNs experience and manage communication barriers in telephone triage practice. Six RNs with recent experience in telephone triage participated in semistructured interviews, and the data were analyzed using interpretive description and thematic analysis. Findings indicated that participants relied …

2026-03-11 Changemaker Ken Butigan Presents ‘The Nonviolent Shift Is Coming (If We Want It)’, Kean Mathis

The Spectator Online

No abstract provided.

Ocean Observing System Design: Transatlantic Acoustic Propagation For Acoustic Thermometry, Brian D. Dushaw, Dimitris Menemenlis, John A. Colosi

Faculty Research, Scholarly, and Creative Activity

Ocean acoustic thermometry is simulated in the North Atlantic using two global ocean state estimates to assess its potential contributions to the Global Ocean Observing System. Acoustic data were simulated for transatlantic acoustic propagation from Cabo Verde to Bermuda, a 4183-km archetypal path across the Mid-Atlantic Ridge. Acoustic scattering by internal waves was simulated using a range-dependent, stochastic model added to the ocean state estimates. While the Ridge blocks acoustic propagation traveling deeper than about 3000 m, and internal-wave sound speed scintillations cause prohibitive scattering of later-arriving rays, it is apparent that O(10) acoustic ray arrivals on this path are …

Midweek Memo, Georgia Southern University

Midweek Memo

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• Around the Nest

Interlibrary Loan: From Basics To Current Issues, Jennifer K. Lloyd

Library Faculty Publications

While interlibrary loan has been a core service for health science libraries for decades, changes in policies, software, and workflow are accelerating. This webinar will explain some basics of ILL and its platforms while also focusing on current issues and changes that are confronting libraries.

Everyone Works On The Sustainability Team: Power Structures And Brand Communication In Sustainable Consumption, Sofia Johansson

USF Tampa Graduate Theses and Dissertations

In response to growing concerns about the way in which consumption practices negatively degrade the environment and contribute to climate change, this thesis explores the role in which brands may counteract this. There are two significant issues pertaining to environmental marketing: (1) current efforts to promote green consumerism, through which consumer brands market products as “eco-friendly” with only marginal reductions in climate impact and misleading labels, are insufficient in mitigating climate change. (2) Additionally, this kind of consumption is unjust, whereby it is marked up in price, limiting access to merely individuals in higher income brackets. Given the insufficiencies of …

A Unified Non-Visual Explainable Ai Framework For Neonatal Pain Assessment, Md Imran Hossain

USF Tampa Graduate Theses and Dissertations

With the power of parallel processing, large datasets, and fast computational resources,deep neural networks (DNNs) have outperformed highly trained and experienced human experts in medical applications. However, the large global community of healthcare professionals, many of whom routinely face potentially life-or-death outcomes with complex medicolegal consequences, have yet to embrace this powerful technology. The major problem is that most current AI solutions function as a metaphorical black-box positioned between input data and output decisions without a rigorous explanation for their internal processes. With the goal of enhancing trust and improving acceptance of artificial intelligence– (AI) based technology in clinical medicine, …

Impact Of Statin Medication Use On Glycemic Control And Complications In Type 1 Diabetes, Ryan Bailey

USF Tampa Graduate Theses and Dissertations

Introduction: Hydroxymethylglutaryl-CoA enzyme inhibitors (statins) are frequently used to prevent cardiovascular events in individuals at high risk for cardiovascular diseases, including individuals with diabetes. Prior research has indicated that statins may increase the risk of developing type 2 diabetes (T2D) and may increase hyperglycemia among those previously diagnosed with T2D. To date, little research has investigated the impact of statins on glycemic control and diabetic complications associated with poor glycemic control in those with type 1 diabetes (T1D). The objective of this dissertation is to investigate the association between statin use and measures of glycemic control including hemoglobin A1c (HbA1c), …

Examining Whether Survivors Of Domestic Violence Perceive Ifps As More Helpful Than Other Available Support Resources, Aleidys Lopez Romero

USF Tampa Graduate Theses and Dissertations

Injunctions for protection (also known as restraining orders or civil protection orders) are often used by survivors as a line of defense against continued instances of physical violence or stalking by abusers (Houseman et al., 2024). This study aims to fill these gaps by examining whether survivors of domestic violence perceive IFPs as more helpful than other available support resources. Understanding this process may offer important insights into IFP accessibility, survivor perspectives, and/or alternative resources that may be equally, if not more, helpful to survivors than IFPs. Grounded in Gondolf & Fisher’s (1988) Survivor Hypothesis and Kimberlé Crenshaw’s (1989) Structural …

Warm-Ups To Works Of Art: How Engaging Choral Students In Fundamentals Of Music Leads To The Creative Outlet Of Songwriting", Clay E. Bradford

SPARK Symposium Presentations

When students typically participate in public school choir, they may learn songs from varying different cultures, genres, and styles spanning from different periods of music and countries. This music is incredibly important for the foundation of student learning; however, students are often consumers rather than generators of music. By then taking the basic music theory students may have, and applying it to songwriting parameters and practices, students are able to compose their own music! This not only teaches students to experiment with songwriting but encourages this creative outlet of composition - something they haven't previously encountered before in choir or …

Rates And Predictors Of Intention To Get Preventive Screenings Among Individuals In Recovery From Substance Use Disorders, Afsha Hossain, Ban A. Majeed, Lia Pierson Bruner

Journal of the Georgia Public Health Association

Background: Individuals with substance use disorders (SUDs) are at greater risk for chronic disease but often face barriers to access and uptake of preventive screenings, so the aim of this study was to identify rates and predictors for intention to get preventive screenings among residents at two recovery centers.

Methods: We used a cross-sectional survey (N=95, response rate 51%) to determine previous screening rates and the intention to get recommended preventive screenings among residents of two long-term recovery programs in Athens, GA, using bivariate analysis with chi-square to look for associations with intention.

Results: Prior use of preventive health services …

Rural Georgia Hospital Covid-19 Virus Patient Outcomes, Susan P. Smith, Neeraj Dayama, Morgan E. House, Debra Flores, Sharon Hunt, April Dukes, Steven Gautney

Journal of the Georgia Public Health Association

Background: The Coronavirus disease 2019 (COVID-19) has led to over 1.2 million deaths in the United States. Given the staggering scale of the pandemic, rural hospitals faced heightened challenges due to limited resource availability and underlying patient characteristics.

Methods: In this context, we examined patient and hospital-related factors associated with inpatient mortality due to COVID-19. This study is a retrospective chart review of patient outcomes of patients who were hospitalized in a Southwest Georgia rural hospital with COVID-19 during the initial onset of the outbreak and over the following 23 months of the pandemic. Patient demographics, other characteristics, …

Norm-Variation Of Triple Ergodic Averages For Commuting Transformations, Polona Durcik, Lenka Slavíková, Christoph Thiele

Mathematics, Physics, and Computer Science Faculty Articles and Research

We prove an r-variation estimate, r>4, in the norm for ergodic averages with respect to three commuting transformations. It is not known whether such estimates hold for all r≥2 as in the analogous cases for one or two commuting transformations, or whether such estimates hold for any r< ∞ for more than three commuting transformations.

How Do Minimum Wages Affect Workplace Injuries?, Michael Davies, R. Jisung Park, Anna Stansbury

Upjohn Institute Policy and Research Briefs

No abstract provided.

Quality Of Life In Patients With P16+ Oropharyngeal Cancer Receiving Accelerated Radiation Therapy With Either Cisplatin Or Cetuximab In The Nrg/Rtog 1016 Randomized Controlled Trial, Jolie Ringash, Pedro A Torres-Saavedra, Maura L Gillison, Jimmy J Caudell, David J Adelstein, Paul M Harari, Erich M Sturgis, Ethan Basch, Shlomo A Koyfman, Greg A Krempl, Dukagjin M Blakaj, James Edward Bates, Thomas J Galloway, Christopher U Jones, Beth M Beadle, Jonathan Harris, Quynh-Thu Le, Sue S Yom, Benjamin Movsas

Faculty, Staff and Students Publications

Purpose: NRG/RTOG 1016 was a phase III randomized noninferiority de-escalation trial comparing cetuximab versus cisplatin, concurrent with accelerated radiation 70 Gy/6 weeks, in p16+ oropharyngeal cancer. Quality of life (QOL) was a secondary endpoint.

Methods and materials: Eligible/consenting patients among the first 400 entered completed the EORTC QLQ-C30/H&N35 at baseline, end of treatment, 3, 6, and 12 months posttreatment, to provide 90% power to detect an effect size of 0.5 in the between-arm change in QOL scores from baseline to 6 months. We report completion, responsiveness, and patterns over time across domains between arms, considering a difference of >10 points …

Combined Dark Matter Search Towards Dwarf Spheroidal Galaxies With Fermi-Lat, Hawc, H.E.S.S., Magic, And Veritas, S. Abdollahi, L. Baldini, R. Bellazzini, B. Berenji, E. Bissaldi, R. Bonino, X. Wang, R. Turner, P. Hüntemeyer, Et Al.

Michigan Tech Publications

Dwarf spheroidal galaxies (dSphs) are excellent targets for indirect dark matter (DM) searches using gamma-ray telescopes because they are thought to have high DM content and a low astrophysical background. The sensitivity of these searches is improved by combining the observations of dSphs made by different gamma-ray telescopes. We present the results of a combined search by the most sensitive currently operating gamma-ray telescopes, namely: the satellite-borne Fermi-LAT telescope; the ground-based imaging atmospheric Cherenkov telescope arrays H.E.S.S., MAGIC, and VERITAS; and the HAWC water Cherenkov detector. Individual datasets were analyzed using a common statistical approach. Results were subsequently combined via …

Perspectives Of Anatomy Education Among Osteopathic Medical Students: A Cross-Sectional Survey, Robert J. Heins, Matthew Mindrup, Justine Hemaya, Sara S. Sloan

Student Publications

Background

Anatomy education is a foundational component of osteopathic medical training and contributes to clinical development. While prior studies have examined objective outcomes of anatomy curricular change, osteopathic medical students’ perceptions of anatomy education, including perceived retention, licensure preparedness, and influence on career interests, remain incompletely characterized.

Methods

A 30-question electronic survey was distributed to second-, third-, and fourth-year osteopathic medical students in the United States between October 2024 and March 2025. Survey domains included didactic and laboratory anatomy instruction, perceived retention of anatomical knowledge, perceived preparedness for the Comprehensive Osteopathic Medical Licensing Examination (COMLEX) Level 1 and the United …

Molecular Quantum Particle Algorithm (Mqpa): Hybrid Quantum-Classical Learning For Molecular Property Prediction, Jessica Mcphaul, Bivin Sadler Ph.D.

SMU Data Science Review

Classical machine learning models and quantum kernel methods often struggle to capture quantum-coherent molecular features under the constraints of noisy intermediate-scale quantum (NISQ) hardware, limiting both predictive accuracy and scalability.

This paper introduces the Molecular Quantum Particle Algorithm (MQPA), a hybrid quantum–classical framework designed to achieve chemically accurate property prediction by integrating handcrafted molecular descriptors with parameterized quantum circuits. Molecular inputs, expressed as SMILES strings, are processed via RDKit and encoded through angle-based quantum gates with entangling layers in Qiskit [1]. Quantum parameters are optimized using simultaneous perturbation stochastic approximation (SPSA) [2], while classical regression layers leverage Adam [3] …

Predicting House Prices Using Machine Learning, Pejal Rath, Robert Slater

SMU Data Science Review

This study explores the use of Machine Learning methods to predict housing prices, a problem of significant interest in real estate economics, and data science. Traditional hedonic pricing models have long been used to evaluate the impact of housing attributes on property values, but they often lack the flexibility to capture nonlinear relationships and complex feature interactions. Recent advancements in regression based and Machine Learning approaches provide promising alternatives that may improve prediction of accuracy and market insights. This research will investigate how models such as linear regression, random forest, and gradient boosting can be applied to publicly available housing …

Ai-Powered Reporting For Improved Hospital Efficiency, Joel C. Laskow, Chris Papesh, Srishti Awasthi, Jacquelyn Cheun

SMU Data Science Review

This study explores the feasibility of an AI-powered chatbot for HIPAA-aligned intake of emergency room patients seeking treatment for overdose and violence. The system utilizes AWS Amplify, an encrypted EC2 instance, and a secure S3 Bucket house on Amazon Web Services. Chat functionality is powered by a multi-agentic framework operating on Anthropic’s Claude Sonnet 4. Manual evaluation and exact match testing reveal the system reliably obtains and records relevant information during intake. Future work will focus on expanding accessibility by integrating voice functionality, obtaining HIPAA compliance certifications, and incorporating the chat system into existing healthcare networks.