Digital Commons Network^™

The Computed Microwave Spectrum Of The Protonated Fullerene C60H+, Laszlo Nemes, Jos Oomens, Vincent J. Esposito, Vincent Boudon, Alexander G. G. M. Tielens

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The largest known molecule in the interstellar medium of galaxies, C₆₀, has been detected in its neutral and cationic form through its vibrational, UV-driven fluorescence emission spectrum and its electronic absorption spectrum, respectively. The detection of several polycyclic aromatic hydrocarbon molecules through their pure rotation spectrum in cold, dense, molecular cloud cores suggests that C₆₀ might be present in these environments as well. The low flux of UV pumping photons in molecular cloud cores and the absence of suitably bright background stars, make detection of C₆₀ and its cation through the commonly used methods impractical. As …

The 2025 Measles Outbreak In Texas, Tamer Oraby, Martial L. Ndeffo-Mbah

School of Mathematical & Statistical Sciences Faculty Publications

Background: In 2025, Texas experienced its largest measles outbreak in decades, reporting 762 cases by mid-August. Measles is a highly contagious but vaccine-preventable infection transmitted mainly among unvaccinated individuals and capable of causing severe outcomes.

Methods: We investigate counterfactual measles control scenarios based on daycare and school closures and reactive vaccination of infants and children, including mixed interventions. We analyze the 2025 Texas outbreak using an age-structured multi-stage SEIR model formulated as a system of ordinary differential equations. The model is fit to case data using Bayesian inference to estimate the effective reproduction number and generate posterior predictive trajectories under …

Teleportation Game: Quantum Teleportation In Multi-Agent Systems For Interactive Music, Eduardo Miranda

School of Art, Design and Architecture

This paper introduces an interactive music system with quantum musical agents that communicate by teleporting quantum states to one another. Human performers interact in real time with agents whose melodic and rhythmic behaviours are encoded as quantum states using Single Qubit Probability Amplitude Modulation (SQPAM) and structured through Quantum Phase Estimation (QPE). Up to three agents are combined within a single quantum circuit, with directed communication via quantum teleportation. We are interested in supporting ambiguous, transformative interactions reminiscent of free Jazz improvisation. Therefore, rather than treating noise and decoherence as limitations, the system embraces NISQ-era constraints as creative affordances, framing …

A Granularity-Centered Taxonomy Of Personalized Federated Learning, Ei Ei Nyein Chan, Sergei Chuprov, Pretom Roy Ovi, Kamrul Hasan

Computer Science Faculty Publications

Personalized Federated Learning (PFL) has emerged as a key approach to address performance degradation in FL systems under heterogeneous client data. While existing surveys typically categorize PFL methods based on optimization strategies or system-level mechanisms, they often overlook a fundamental question: where is personalization embedded within the model architecture? In this survey, we bridge this knowledge gap and introduce a granularity-centered taxonomy that organizes PFL approaches according to the structural depth of personalization, ranging from head-layer and layer-wise adaptation to model-wise and parameter-wise customization. This novel perspective helps practitioners select appropriate personalization strategies based on model architecture, data heterogeneity, and …

The Importance Of An ‘Unimportant’ Toy: Children In The Ancient Domestic Sphere, Rona S. Avissar Lewis

'Atiqot

This paper examines an often-overlooked sector of households: children. The paper first presents the importance of children within the framework of the household and society, pointing out significant references from textual sources and imagery, such as orthostats. Then, a set of artifacts identified in the archaeological record is presented, which may be defined as spinning toys, comprising two components: a string and a perforated object. The conclusions discuss the way these toys reflect on the importance of children in society.

Digital Leadership Patterns Of School Principals In Coding And Artificial Intelligence Learning, Ramadhanur Putra, Lia Yuliana

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Digital transformation in education requires school principals to integrate technology into learning processes and school management. This study aims to analyze principals' digital leadership patterns in supporting Coding and Artificial Intelligence learning at SMP Islam Al Azhar 26 Yogyakarta and SMP Islam Al Azhar 66 Bantul. This research employed a descriptive qualitative approach and the data were collected through interviews, observations, and documentation for data collection. The participants consisted of principals, vice principals for curriculum, and teachers. The findings reveal that both schools implement transformational digital leadership through establishing a digital vision, enhancing teacher competencies, providing technological infrastructure, and strengthening …

Navigating Digital Transformation: Students’ And Lecturers’ Perceptions And Experiences Of Online Teaching In South African Higher Education, Precious Dube, Yolisa Madolo

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

The digital transformation of higher education has reshaped teaching and learning practices, but experiences in South African universities remain diverse because of differences in technological access, digital readiness and institutional support. This systematic literature review aimed to examine students' and lecturers’ perceptions and experiences of online teaching and learning in South African tertiary institutions. The review employed studies retrieved from Google Scholar, ERIC, Scopus, and Web of Science. A total of 1253 studies from across the globe were identified and screened using Covidence, resulting in 21 South African studies meeting the inclusion criteria. The selected studies were analysed thematically to …

Td Spec: Topological Helical Embedding Constraints For Hyperbolic Slingshot Manifolds, Christopher L. Eckes

Defensive Publications Series

This specification formalizes a non-perturbative, effective field theory (EFT) governing the topological transformation of a two-dimensional quantum information substrate into macroscopic three-dimensional volumetric space-time metrics. While standard holographic frameworks, such as the Anti-de Sitter/Conformal Field Theory (AdS/CFT) correspondence, establish that boundary data can mathematically define a bulk volume, they often rely on unverified high-dimensional compactifications or free parameters to model local mass-energy tensors.

This paper introduces a coordinate-free, macroscopic dual mechanism: physical matter and spatial geometry emerge natively when a parameter-agnostic 2D viscoelastic fluid membrane experiences localized coordinate compression (The Fold) and asymmetric rotational torque (The Twist). By restricting the …

Artificial Intelligence (Ai)-Driven Reproduction Of Network Device Failures From Pre-Failure Evidence Capture, Kamakshi R Devisetty, Nikhil Alampalli Ramu

Defensive Publications Series

A system predicts imminent network-device failures and initiates causally coherent evidence capture before volatile state disappears. In response to a causal token, device-local agents collect native, capability-aware evidence from selected causal neighbors, fuse relevant change context, and normalize the resulting artifacts into a vendor-agnostic bundle. A tiered reproduction engine uses the bundle to recreate the failure through simulation, virtual-device organic state arrival, or hardware-sandbox execution, and then ablates the reproduction to identify a minimal action set that still produces the failure signature. The system enables reproducible diagnosis of intermittent, multi-device network failures without requiring a central mirror or orchestrator.

Malt-Nsom Ground Truth: Integrated Electromagnetic, Thermodynamic, And Acoustic Tensor Dataset For Biophysical Modeling, Daniel Schramm

Defensive Publications Series

Title: MALT-NSOM: A Multi-Physics 3D Tensor Dataset for AI-Driven Oncological Biosensing and Targeted Therapeutics

Abstract:

This dataset provides a high-fidelity, multi-physics ground-truth benchmark for the MALT-NSOM (Metal-Assisted Lossless-Dielectric Nanophotonic Sub-diffraction Optical Microscopy) platform. Unlike noisy clinical datasets, this archive contains 3D tensor fields derived from first-principles Maxwell, Poisson, and Acoustic wave equations. It is designed for researchers developing machine learning models for predictive biomarker detection, sub-cellular diagnostic imaging, and non-invasive therapeutic targeting.

Data Generation & Methodology:

The dataset was constructed using three primary high-performance physics engines:

1. Optics (MEEP/FDTD): 3D Maxwell tensor simulations of a bi-spherical Hafnium Oxide (HfO2) dimer cavity …

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Technical Disclosure Specification: Wearable Biomimetic Harmonic Alignment Liner And Micro-Distributed Gan Power Stage Matrix For Biological Homeostasis, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the mechanical, electrical, and topological architecture for a wearable, direct-dermal biomimetic alignment garment designed to mitigate the systemic biological degradation pathways caused by prolonged microgravity exposure. Traditional aerospace paradigms treat gravity loss as an external mechanical force deficit, attempting to resolve bone-density wastage and fluidic intracranial crowding via clumsy macro-scale kinetic countermeasures (e.g., spinning centrifuges) or localized chemical vectors.

Under the Dimensionally Extended Holographic Projection (DEHP) cosmology, biology is re-modeled as a scale-invariant series of localized wave packets vibrating against a 2D viscoelastic fluid membrane resting at absolute equilibrium (\(z=0\)). This paper introduces an integrated, lightweight backpack …

Technical Disclosure Specification: Spherical Harmonic Field Confinement Generator And Molecular Conduction Wave Filters For Visorless Atmospheric Envelopes, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the physical architecture and low-level firmware constraints for a body-worn, spine-mounted Spherical Harmonic Field Confinement Generator capable of establishing a localized, un-tethered atmospheric breathing envelope and active radiation shield directly around an individual operator in a hard vacuum. Traditional extravehicular activity (EVA) systems rely heavily on high-friction mechanical containment units (e.g., pressurized polycarbonate visors and multi-layered fabric suits) that restrict joint mobility, maximize structural failure vectors, and demand high-mass portable life support back-assemblies.

Under the Dimensionally Extended Holographic Projection (DEHP) cosmology, macroscopic matter is treated as a scale-invariant series of localized wave-knots collapsed from an underlying two-dimensional …

From Reluctance To Resilience: The Link Between Attitude And Growth Mindset In Calculus Students, Olivia Valente, Kathryn E. Pedings-Behling, Amy N. Langville

Journal of Educational Research and Practice

Many postsecondary students enter general education mathematics courses with negative attitudes, shaping their willingness to engage with the content. This study explores the relationship between students’ attitudes towards mathematics and their growth mindset, revealing effective strategies to enhance learning experiences, particularly for students who are reluctant learners. The research investigates two questions: (1) How do students’ Attitude Toward Mathematics Inventory (ATMI) scores and Growth Mindset Scale (GMS) scores relate? and (2) Do gender or course modality affect this relationship? This study addresses a gap in literature by examining how enjoyment, motivation, self-confidence, and perceived value connect with growth mindset. The …

Our Heritage Vol Ii 2026, Ana Iraheta, Jake R. Turcotte, Siobhan Lahiff

Our Heritage: Short Stories of Bilingual Youth in the Northeastern United States

"

Ana C. Iraheta and Jake R. Turcotte (Editors)

Siobhan Lahiff (Illustrator) "

Por Siempre En Mi Corazón/Forever In My Heart, Valeria Barrón

Our Heritage: Short Stories of Bilingual Youth in the Northeastern United States

A young woman honors her late friend with love and tradition.

Conceptual Framework Of Professional Learning Communities For Cambodian Upper Secondary School Teachers, Ousa Chao, Mam Chansean, Vira Neau

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

This paper explores the challenges of teacher professional development within Cambodian public upper secondary schools, driven by low teacher qualifications, resource gaps, and cultural barriers. Using an integrative literature review and qualitative document analysis, this paper synthesizes 58 sources, including official Cambodian regulatory frameworks, global evaluations, and empirical studies. By synthesizing local policy with international PLC models from Japan, South Korea, and Singapore, this study reveals a substantial gap between national policy goals and local school conditions. To bridge this divide, the article presents a contextually adapted four-pillar conceptual framework alongside actionable strategies to support effective PLC implementation across Cambodian …

Depictions Of Girls With Adhd In Contemporary Picturebooks: A Critical Content Analysis, Madison Briann Smith

Theses and Dissertations

This study examines how girls with ADHD are depicted in contemporary picturebooks through the theoretical framework of critical disability studies (CDS). While research has increasingly explored disability representation in children's literature, depictions of girls with ADHD remain underexamined despite the ways in which ADHD manifests in female populations and the historical underdiagnosis of females with the condition. Using critical content analysis (CCA), six contemporary picturebooks featuring female protagonists with ADHD were analyzed for their visual and textual representations of neurodiversity. Findings were organized into two overarching themes: strength-based and deficit-based depictions. Strength-based portrayals emphasized creativity, identity formation through adult mentors, …

Measurement Of Pollution Emissions From Natural Gas Stoves: Preparation For An Induction Cooktop Intervention Study, Jessica Zanella Lorensi

Dissertations and Theses

Humans spend ∼90% of their time enclosed in buildings. Indoors environments can be a source of pollutant which can affect health and productivity. Appliances that combust fossil fuels indoors, like stoves, are a critical source of a range of pollutants, like carbon monoxide (CO) and nitrogen dioxide (NO₂). In the US, the usual cooking fuel is natural gas (NG), presented in more than 30% of households in the country. Some studies in the literature linked cooking pollutants, including those specific to gas combustion, to various health conditions, including heart and respiratory diseases. Nitrogen dioxide, for example, can be …

August 4, 2026 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Measuring Cosmic Expansion From Early To Late Times Using Quasars, Galaxies, & Local Supernovae, Rajeev Vaisakh

Physics Theses and Dissertations

This dissertation investigates the evolution of cosmic expansion across a wide redshift ($z$) range by combining measurements from quasars \& galaxies in the distant universe $(z > 0.8)$ with those obtained from stripped-core collapse supernovae observations from the nearby universe $(z < 0.1)$. Using the DESI spectroscopic survey, we analyze large-scale clustering from quasars over $0.8 < z < 2.1$ and emission line galaxies over $0.8 < z < 1.6$, contributing to DESI DR2 BAO and full-shape measurements of cosmic expansion and structure growth. Combined with BBN in flat $\Lambda$CDM, DESI DR2 BAO gives $H_0 = 68.51 \pm 0.58$ km s$^{-1}$ Mpc$^{-1}$, while combinations of DESI BAO with CMB and supernova data show a preference for evolving dark energy, with representative constraints such as $w_0 = -0.752 \pm 0.057$ and $w_a = -0.86^{+0.23}_{-0.20}$ for DESI+CMB+DESY5. Using the ROTSE-III Supernova Survey and the expanding photosphere method (EPM), we measure distances to a sample of six supernovae for which the thermal phase can be clearly identified. This analysis focuses on testing whether reliable EPM distances can be obtained for this population. The resulting distances will eventually be compared with independent estimates from the literature. Establishing consistency with these external measurements represents an important step toward applying this methodology to larger samples, with the eventual goal of using ROTSE supernova distances to provide an independent measurement of the local Hubble constant.

Statistical Methodologies For Count Time Series Analysis And Topological Data Analysis Of Medical Images, Yuhyeong Jang

Statistical Science Theses and Dissertations

This dissertation addresses two distinct topics related to count time series analysis and topological medical image analysis, respectively. The first part of the dissertation comprises an application of a count time series model to analysis of US monthly sex trafficking data and development of a new model for multivariate count data that exhibits serial dependence and overdispersion. By imposing a family of multivariate mixed Poisson distributions on the count random vector, the proposed model can accommodate a broad range of overdispersion as well as positive contemporaneous correlations. For maximum likelihood estimation, a computationally feasible EM-type algorithm is derived based on …

Data Repository For "The Influence Of Hydrologic And Salinity Conditions On Drought-Tolerant Great Salt Lake Wetland Plant Species" By Samantha Kurkowski And Karin Kettenring, Samantha Kurkowski

Browse all Datasets

This greenhouse experiment investigated the effects of salinity (3 levels) and hydrologic condition (5 levels),  on the cover and biomass of a single mix of 11 native drought- and salt-tolerant species.

Ucf Libraries 2026 Faculty Research Showcase, Thomas R. Caswell, Patrick D. Green, Rae Mair, Yuqing Li, Athena Hoeppner, Sai Deng, Jeanne Piascik, Nokimul Hasan Arif, Peter Spyers-Duran, Tina Buck

Faculty Scholarship and Creative Works

The University of Central Florida (UCF) Libraries’ Faculty Research Showcase is an annual tradition that celebrates the scholarly achievements, research, and creative work of library faculty.

The 2026 Showcase took place on August 4, 2026, and features six engaging presentations covering a diverse range of topics:

• Thomas Caswell – UCF Libraries Faculty Scholarship: Growth & Impact

• Patrick Green – Making Moves: A Cross-Institutional Presentation on Library Skill Transference

• Rae Mair & Yuqing Li – Generative AI as Peer Tutor: Designing & Evaluating a Prompt to Support Source Identification & Evaluation

• Athena Hoeppner – Have you ever …

Ground To Roof Snow Load Ratio (Gr) Data Release, Brennan Bean, Cooper Nelson, Jesse Wheeler, Scout Jarman, Salam Adil Al-Rubaye, Marc Maguire

Browse all Datasets

This data release provides historical ground-to-roof snow load ratio (GR) datasets used for snow load research and model development. The release includes original referenced datasets, cleaned country specific datasets, and a master dataset that combines Canadian and United States datasets into a standardized format for research and engineering applications.

Highly Localized Droplet Clustering In Shallow Cumulus Clouds, Birte Thiede, Michael Larsen, Freja Nordsiek, Oliver Schlenczek, Yewon Kim, Eberhard Bodenschatz, Gholamhossein Bagheri

Michigan Tech Publications

The size and spatial clustering of water droplets in warm clouds influence cloud evolution and radiation properties and thus are of fundamental importance for the Earth’s energy balance and water cycle. Some proposed mechanisms for droplet growth and precipitation initiation in warm clouds require strong droplet clustering. Resolving such clustering on sub-cm scales remains a challenge. The most detailed observations, collected from aircraft, showed weak mm-scale droplet clustering averaged over kilometer scales in stratocumulus clouds. Here we present spatially resolved in-situ holographic measurements from a tethered aerostat, demonstrating that clustering in shallow cumulus clouds is significantly stronger and far more …

Closing The Awareness–Behavior Gap: A Role-Based Phishing Training Framework For Higher Education, Ranylene O. Olaybal, Ryan A. Olaybal

Journal of Cybersecurity Education, Research and Practice

Phishing remains one of the most persistent cybersecurity threats facing higher education institutions, where diverse user populations and highly connected digital environments increase exposure to social engineering attacks. Although cybersecurity awareness initiatives are widely implemented, high awareness does not always translate into secure behavior. This study examined phishing awareness, phishing-related practices, phishing susceptibility, and phishing experiences among college students, teaching faculty, and administrative staff in a private higher education institution in the Philippines. Using a quantitative cross-sectional design, data were collected from 553 respondents through a validated survey instrument and analyzed using descriptive statistics, one-way analysis of variance, Tukey's honestly …

Single Fluorogens And Orientation-Localization Microscopy For Quantifying Chemical And Biomolecular Dynamics At The Nanoscale, Yiyang Chen, Yuanxin Qiu, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

Many chemical systems look uniform only because ensemble measurements average over their most interesting molecules. Electron-transfer rates vary across electrode surfaces; lipid membranes contain nanodomains with distinct packing and fluidity; peptide aggregates exhibit local polymorphism; and biomolecular condensates contain transient networks of interactions that are blurred in ensemble images. A central challenge in chemical imaging is not simply to see smaller structures, but to measure chemical variables such as polarity, redox potential, and molecular confinement at the single-molecule level. In this Account, we describe how fluorogens, molecules whose brightness, blinking, spectral shifts, orientation, rotational mobility, and motion are directly shaped …

Dynamics Of Microscale Droplets In Respiratory Airways, Md Shamser Ali Javed

Mathematics Theses and Dissertations

We investigate trajectories of microscale evaporating droplets in a stagnation point flow near a wall of a respiratory airway. The configuration is motivated by the problem of advection and deposition of microscale droplets of respiratory fluids in human airways during transmission of infectious diseases such as tuberculosis and COVID-19. Laminar boundary layer equations are solved to describe the air flow while the equations of motion of the droplet include contributions from gravity, aerodynamic drag, and Saffman force. Evaporation is accounted for at both the droplet surface and the wall of the respiratory airway and is shown to delay droplet deposition …

Butte Priority Soils Operable Unit Final 2024 Unreclaimed Sites Sampling: Ur-46 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Supporting Students’ Self-Efficacy And Motivation In The Mathematics Classroom, Audrie H. Cox

Masters Projects

This project examines the role of mathematics self-efficacy in supporting student motivation, engagement, and achievement in secondary mathematics classrooms. Through a review of current research, the project identifies instructional practices that strengthen students' confidence in their mathematical abilities, including formative assessments, meaningful feedback, supportive teacher-student relationships, and opportunities for productive struggle. Drawing on these findings, a professional development workshop session was developed to equip secondary mathematics teachers with practical, research-based strategies that promote positive mathematics self-efficacy and improve overall classroom instruction. By translating research into actionable teaching practices, this project aims to support more confident, motivated, and successful mathematics learners.