Digital Commons Network^™

Passages: The Discovery Of A Strongly Lensed Protocluster Core Candidate At Cosmic Noon, Nicholas Foo, Kevin C. Harrington, Brenda L. Frye, Patrick S. Kamieneski, Min S. Yun, Massimo Pascale, Ilsang Yoon, Allison Noble, Rogier A. Windhorst, Seth H. Cohen, James Lowenthal, Melanie Kaasinen, Belén Alcalde Pampliega, Daizhong Liu, Olivia Cooper, Carlos Garcia Diaz, Anastasio Diaz-Sanchez, Jose Diego, Nikhil Garuda, Eric F. Jiménez-Andrade, Reagen Leimbach, Amit Vishwas, Q. Daniel Wang, Dazhi Zhou, Adi Zitrin

Astronomy: Faculty Publications

Investigating the processes by which galaxies rapidly build up their stellar mass during the peak of their star formation (z  =  2–3) is crucial to advancing our understanding of the assembly of large-scale structures. We report the discovery of one of the most gas- and dust-rich protocluster core candidates, PJ0846+15 (J0846), from the Planck All-Sky Survey to Analyze Gravitationally lensed Extreme Starbursts (PASSAGES) sample. The exceedingly high total star formation rate (SFR) uncorrected for lensing magnification ( μ) of  μSFR  yr−1 is the result of a foreground cluster lensing at least 11 dusty star-forming galaxies between z …

Exploring The Potential Effects Of Read Naturally Live To Support Reading Fluency Development In Diverse Learners, Jovonne Tabb

Electronic Theses and Dissertations

The ability to comprehend and apply knowledge learned through reading is fundamental for individuals to become successful and productive citizens in society. The inability to read fluently and accurately with appropriate pacing and expression significantly inhibits text comprehension. Research suggests that children who do not develop reading fluency are more likely to experience learning and comprehension difficulties throughout their academic careers (Lange, 2019). Computer-assisted interventions (CAI) have demonstrated effectiveness in advancing students' reading fluency, particularly for those at risk of developing reading disabilities or those already diagnosed with reading difficulties. However, a significant gap exists in research examining CAI effectiveness …

Discovery Of The Multi-Ion Bridge Intermediate: A Computational Exploration Of The Mechanism For Azomethine Ylide Formation From N-Oxides, Martin J. Neal

Electronic Theses and Dissertations

Density functional theory (DFT) provides a method for calculating the ground-state energies of complex molecular systems through evaluating the electron density instead of the full wave function. When results match either experimental outcomes, calculations with DFT offer a computationally efficient method to help explain chemical phenomena. The transformation of tertiary amine N-oxides to azomethine ylides, a simple route to the precursor for 1,3-dipolar cycloadditions that result in the pyrrolidine scaffolds found in natural products, has received only minimal attention due to concerns that its mechanism includes a highly electrophilic intermediate. Utilizing DFT to model the mechanism of the conversion …

Limiting A Liberal Education: Exploring Technology Access And Equity Through Universal Design And Critical Disability Studies, Marisa R. Carlson

Electronic Theses and Dissertations

This quantitative improvement study investigates how classroom technology policies impact equity, access, and alignment with liberal arts values at a small Catholic liberal arts college. The study arose from concerns regarding academic accommodations, where students needed to formally request access to digital tools that were widely available. The focus is on inconsistent and sometimes restrictive technology policies that create barriers for students relying on these resources.

Interpreted through the conceptual frameworks of Universal Design for Learning (UDL) and Critical Disability Studies (CDS), this study was guided by the following research questions:

1. What expectations do students have regarding access to technology …

I Am Mentorship: Hip-Hop As A Mirror For Belonging And Becoming, David J. Berg

Journal of the Arts and Special Education

This paper presents MENTEE-SS (Mentorship, Engagement, Nurturing, Trust, Empowerment, Excellence-Systems of Support for Students and Families), a practitioner-focused reimagination of Multi-Tiered Systems of Support (MTSS) through the lens of hip-hop pedagogy, mentorship, and culturally sustaining practices. While traditional MTSS frameworks often emphasize compliance and deficit-based intervention, MENTEE-SS situates support in student identity, creativity, and voice.

Grounded in relational trust and arts integration, the framework uses the author’s original song I’M HIM as a case study in identity reclamation. Three tiers bring this vision to life: co-designed classroom rituals (Yo DJ, Spin That Class!, Tier 1), lyric-writing groups for recovery (The …

Nontoxic Paints Using Cornstarch As Binders, Maile Prater

Honors Projects

For this project, paints were created using different metal compounds which interacted with cornstarch and pectin to determine whether the metals would coordinate with these polysaccharides to create new types of watercolor paints. The paints that were created were ran through an RGB analysis to determine how much of each RGB color is present in a solution and then were ran through a rheometer to determine how the viscosity differed between each solution.

Macroinvertebrate Community Dynamics In A Recovering, Hypersaline Estuary, Catherine M. Eckert, Claudia A. Tamez, Erin E. Easton, David Hicks

School of Earth, Environmental, & Marine Sciences Faculty Publications

The Bahia Grande is a 6,500—acre tidal basin located at the southernmost tip of Texas. Tidal flow into this coastal estuary was cut off in the 1930s, causing the basin to dry up for ~70 y. A pilot channel connecting the Bahia Grande to tidal waters was constructed in 2005, allowing flooding of the basin to occur. Throughout the period reported herein (2005–2019), the system remained characterized by persistent spatial and temporal episodes of extreme hypersalinity (>70)—a critical factor influencing estuarine community composition and driving key ecological processes. With additional rehabilitation actions forthcoming, characterization of the estuary is essential …

Cover And Contents

Turkish Journal of Physics

No abstract provided.

Quasiparticle Weight And Effective Mass Of The Landau Liquid From The Complex-Frequency Formalism, Aydin Cem Keser, Oleg P. Sushkov

Turkish Journal of Physics

We present a method for calculating the effective mass and quasiparticle weight of a Landau Fermi liquid using time-ordered Green’s functions and a Wick rotation to the imaginary frequency axis. This technique simplifies the evaluation of self-energy derivatives by ensuring analytic properties compatible with contour deformations. We apply the method to the electron gas in both two and three spatial dimensions within the random phase approximation (RPA), and derive explicit expressions for the static and dynamic contributions to the self-energy. Our results confirm known limits at weak coupling and offer an accurate and transparent route to evaluate effective mass and …

Application Of Polarization Transfer Algorithm In Organic Molecules With Three Nonequivalent Coupled Spins, Dim Safin, Alexander Perepukhov, Sergei Rzhevskiy, Yuri Belousov

Turkish Journal of Physics

Polarization transfer between three $1/2$ nuclear spins in a specially prepared isotopically enriched molecule diethylphthalimide malonate-2-$^{13}$C,$^{15}$N molecule was obtained using the nuclear magnetic resonance (NMR) method. The polarization transfer was performed by implementing a sequence of radio frequency pulses and waiting intervals. Relaxation times and NMR spectrum for the studied nuclei were measured in samples of molecules with natural and enriched isotopes $^{13}$C and $^{15}$N. Measurements of the proton relaxation rate for diethylphthalimidomalonate and diethylpthalimidomalonate-2-$^{13}$C,$^{15}$N showed an increase in relaxation rate by a factor of 4 for protons bound to $^{13}$C,$^{15}$N nuclei. The use of the quantum polarization transfer method …

First-Principles And Deep Learning Frameworks To Predict The Electronic, Magnetic And Electrical Properties Of V-Doped Sic Nanotube, Debarati Dey Roy, Sevda Rzayeva, Sevinj Guluzade, Vusala Nabi Jafarova

Turkish Journal of Physics

Nowadays, with the miniaturization of nanoindustry, we are increasingly interested in doping effects for nanotube systems. In this study, based on density functional theory (DFT) and local spin density approximation (LDA) methods within Hubbard U corrections, the electronic, magnetic and electrical properties of single-wall silicon carbide nanotubes doped with vanadium were theoretically studied. Although the undoped SiC system is nonmagnetic, the V-doped SiC nanotube induces magnetism and the total magnetic moment of this magnetic material is equal to ~1 µB. Density of states calculations indicated that the magnetization of SiC:V single-wall nanotubes mainly comes from the 2p orbitals of carbon …

Corrigendum To “Circular Motion And Thermodynamic Characteristics Of Particles Around A Quintessential Nonrotating Black Hole” [Turkish Journal Of Physcis 49 (3) 2025 72-91], Indrajit Halder, Kamal Lochan Mahanta, Rakesh Ranjan Sahoo

Turkish Journal of Physics

This corrigendum addresses an error in equation (35) in the original published version of this article. This error led to minor inaccuracies in subsequent equations.To correct this oversight and ensure the accuracy of the scholarly record, the corrected equations are provided below for reference. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. Corrected equations ofsection 3.3. [2,3]:

The original article can be accessed at: https://doi.org/10.55730/1300-0101.2777

Comparisons Of Fish Communities Between A Restored And A Control Pool Of The Mississippi River: A Before-And-After Examination, Hannah Lenning

Biology Theses, Dissertations, and Student Creative Activity

The quality and availability of valuable backwater habitats have declined in many rivers, including the Upper Mississippi River (UMR), due to river modifications and land use change. Habitat Rehabilitation and Enhancement Projects (HREPs) are implemented by the Upper Mississippi River Restoration Program and often aim to mitigate accelerated sedimentation and degradation of backwater habitats. One HREP in Pool 12 of the UMR targeted overwintering fish habitat by restoring four backwaters within 14 RKM. Fish community data was collected before (2006-2012) and after (2020-2024) restoration in Pool 12 and a downstream, control reach, Pool 13. The first objective of my study …

Self-Assembling Rna Nanostructures Are Highly Sensitive To Environmental Conditions, Jordan Aposhian, Surya Pratap S. Deopa, Scott Horowitz, Joseph D. Yesselman

Chemistry and Biochemistry: Faculty Scholarship

Recent developments in RNA nanotechnology have led to an increase in the design of specific, higher-order RNA structures, which will ultimately be used in drug delivery and immunomodulation applications. As researchers create RNA nanostructures with the intention of making them a standard tool in molecular biologists' toolkits, further investigation is required into the robustness of RNA designs. Primarily, in what different molecular contexts are the designed and intended nanostructures stable? In this work, we show that RNA nanostructure self-assembly is highly sensitive to environmental conditions by using second-order right-angle light scattering. While a test RNA hexagonal grid nanostructure forms correctly …

Perron Theorem Application To A Second-Order Differential Equation With Small Advances, Jason Hendrix

Theses and Dissertations

We analyze a delayed second order differential equation with small delay parameters, proving spectral stability via the characteristic quasi-polynomial and establishing uniform bounds on derivatives of the Green’s function to ensure sign preservation under perturbation, providing a foundation for monotone iteration methods. These results aim to advance the functional-analytic framework for traveling wave solutions in delayed reaction-diffusion systems.

Gowanus Faces A Hidden Threat Beneath Its Neighborhood Boom, Emma J. Rosenberg

Capstones

This article investigates urban redevelopment, climate change and environmental contamination in Brooklyn’s Gowanus neighborhood. The Gowanus Canal itself has been a designated EPA Federal Superfund Site since 2010, this designation does not apply to the land surrounding it where legacy industrial contamination still exists. This includes coal tar from former manufactured gas plants which poses a risk to groundwater and indoor air. Under a 2021 rezoning plan, large-scale residential redevelopment is rapidly moving forward, rising groundwater and increased flooding associated with climate change may exacerbate contaminants. Utilizing agency documents, Community Advisory Group meetings, and conversations with residents, advocates, officials and …

How Has Your Climate Changed?, Rhyannon Bartlett-Imadegawa

Capstones

This interactive data visualization shows readers how much the climate has changed in their home state compared to 100 years ago, since the reader was born, the current year and projections into the future. It aims to communicate climate change impacts more personally by linking it to seasons, the reader's birth year and age mile stones and compares a readers' home state to a state that has been more impacted to connect across different states and communities.

Using JavaScript and Svelte, the code calculates and displays seasonal averages for the baseline period for the reader's state and years for the …

Flooding, Not Just A Rain Problem, Annisha Singh

Capstones

This capstone focuses on the Rockaway Peninsula and how high-tide flooding also known as "sunny-day flooding" is not only affecting Rockaway but neighboring areas, such as Jamaica Bay.

The Impact Of Patient-Generated Health Data From Mobile Health Technologies On Health Care Management And Clinical Decision-Making: Narrative Scoping Review, Ava Keeling, John Downey, Matthew Halkes, Yinghui Wei

School of Nursing and Midwifery

Background: Long-term health conditions and multimorbidity are increasing globally, placing an unsustainable pressure on health care systems. Mobile health (mHealth) technologies enable the collection of patient-generated health data outside clinical settings, offering the potential to support personalized care and inform clinical decision-making. However, the ways in which mHealth patient data are being used in clinical practice remain unclear. Objective: This study aimed to map and synthesize the existing literature on how patient-generated mHealth data are reportedly being used and influencing clinical decision-making for adults with long-term conditions in an outpatient care setting. Methods: A narrative scoping review was conducted on …

Assessment Of Polymeric Chloroquine Formulations For Targeted Therapy Of Ulcerative Colitis And Metastatic Colorectal Cancer, Neha Kumari

Theses & Dissertations

Effective targeted drug delivery is a critical unmet need in the management of both ulcerative colitis and metastatic colorectal cancer, where conventional systemic therapies may be hindered by suboptimal efficacy and significant side effects. This thesis explores the development and preclinical assessment of polymeric chloroquine (PCQ)-based nanotherapeutics, leveraging stimuli-responsive designs for disease-specific delivery and action.

For ulcerative colitis, a reactive oxygen species (ROS)-responsive nanogel system was engineered to release PCQ, a macromolecular derivative of hydroxychloroquine, specifically in the inflamed areas within the colon. Nanogels with well-defined size and positive surface charge were synthesized via reversible fragmentation chain transfer (RAFT) polymerization …

Probing The Mechanisms Of Reinforcement Learning: Reinforcement Learning, Ventral Striatal Astrocytes, And The Dynamic Coordination Of Information Seeking With Learning, Fatih Sogukpinar

McKelvey School of Engineering Graduate Student Theses & Dissertations

While reinforcement learning has been a vital component in artificial intelligence and machine learning, there exist many open questions about its implementations and how to improve them, in both minds and machines. Among these are i) the contribution of non-neuronal cell types to reinforcement learning, and ii) information-seeking behavior during reinforcement learning. In this thesis, we studied these main topics pertaining to reinforcement learning. In the first chapter, we examined the role of astrocytes in reinforcement learning, and in the second, we investigated human information seeking during reinforcement learning. Neurons in the human and animal brain have been known to …

Optimal Sizing Of Battery Energy Storage Systems For Peak Shaving And Demand Response Using A Degradation-Aware Bayesian Optimization-Mixed-Integer Linear Programming Framework, Jiwei Yao, Blake Billings, Tao Gao, John Hedengren, Kody M. Powell

Faculty Publications

The increasing integration of renewable energy and rising electricity demand highlight the importance of battery energy storage systems for peak shaving and demand response. Unlike prior approaches that overlook operational impacts on degradation, this study proposes a Bayesian Optimization–Mixed Integer Linear Programming framework for optimal battery energy storage system sizing. In this framework, Mixed Integer Linear Programming determines short-term scheduling while a calibrated electrochemical model iteratively evaluates degradation. The central hypothesis is that the framework can efficiently identify optimal sizes that yield realistic and economically robust outcomes. The method is tested across three scenarios: peak shaving, peak shaving with energy-reduction …

Amp: Single-Shot Ultra-Wide Fisheye-To-Cubemap Pnp Pose Estimation, Ryan M. Raettig, Richard R. Nyquist, Scott L. Nykl, Clark N. Taylor, Christine M. Schubert Kabban

Faculty Publications

Estimating the position and orientation of a rigid object from an image is critical for situational awareness in robotics and autonomous systems. This study explores relative pose estimation using an ultra-wide fisheye camera for unmanned aircraft inspection vehicles. Ultra-wide fisheye lenses introduce radial distortion and capture features beyond the rectilinear image plane, rendering rectilinear Perspective-n-Point (PnP) algorithms inadequate. Designing a bespoke ultra-wide fisheye localization algorithm requires consideration of both the feature detection method and the pose estimator itself. This study proposes a novel method that combines (1) a fisheye-to-cubemap reprojection, (2) a You Only Look Once (YOLO) convolutional neural network …

Exploring The Medicinal Properties Of Indigenous Plants Within An Enabling Program: Bridging The Gap Between School, Aboriginal And Torres Strait Islander Knowledge And Science, Sharon L. Gough, Julie Sartori, Angela Jones

Research outputs 2022 to 2026

In 2021, less than half of Australian universities considered Indigenous perspectives in curriculum development, with only 15% ensuring Indigenous content in all courses. Literature acknowledges that a strengths-based approach to the inclusion of Aboriginal and Torres Strait Islander knowledge and perspectives, enhances representation and decolonises curriculum. In 2020, Noongar elder Vivienne Hansen, and John Horsfall created Noongar Bush Medicine, detailing the medicinal use of Indigenous plants. Yeshi, Turpin, Jamtsho, and Wangchuk noted that many Aboriginal and Torres Strait Islander communities use native plants for health purposes. However, there is limited data on the therapeutic efficacy of these plants. In 2024, …

Integrating Traditional Ecological Knowledge And Environmental Science For Sustainable Lake Conservation: Danu Kerthi In Bali, Ni Kadek Surpi, Si Luh Nyoman Seriadi, Ni Wayan Jemiwi Jero

Journal of Environmental Science and Sustainable Development

This study investigates how the Danu Kerthi philosophy operates as a framework that integrates Traditional Ecological Knowledge (TEK) with environmental science to support sustainable lake conservation in three upstream lakes in Bali: Beratan, Buyan, and Tamblingan. While previous scholarship has largely focused on the normative and symbolic dimensions of Sad Kerthi, empirical evidence on its ecological effectiveness remains limited. To address this gap, the study adopts a multi-site qualitative design involving participatory observation, document analysis, and semi-structured interviews with 30 participants representing traditional leaders, Hindu priests, tourism managers, village officials, and local residents. Thematic analysis shows that Danu Kerthi continues …

Investigating Metabolic Heterogeneity In Engineered Isogenic Microorganisms, Xinyue Mu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Engineered microorganisms play an increasingly important role in the sustainable production of fuels, bioplastics, and other valuable biomaterials. Successful industrial deployment depends on maximizing product titers and ensuring process robustness at large scale. However, one of the major obstacles is non-genetic cell-to-cell heterogeneity arising from stochastic intracellular processes. Such heterogeneity can result in subpopulations that divert substrates toward growth rather than product biosynthesis, ultimately reducing yield and contributing to batch-to-batch inconsistency. To better understand the mechanisms by which cell-to-cell variation emerges, propagates, and impacts bioproduction, this dissertation investigated how intracellular energetic dynamics and stochastic biosynthetic noise contributed to metabolic heterogeneity …

Learning From Images And Text (Clinical) Data: Toward Putting Ai In Radiology Workflows, Pan Xiao

McKelvey School of Engineering Graduate Student Theses & Dissertations

The rapid growth of medical imaging data highlights the need for intelligent systems that can understand both radiological language and image content. This dissertation presents two complementary research directions that advance machine learning in radiology through large-scale natural language understanding and unsupervised image representation learning. The first part develops and benchmarks machine learning models for identifying follow-up recommendations in radiology reports—a task essential for improving patient care and reducing missed follow-ups. Using 49,769 reports across multiple modalities and three institutional datasets, along with external and temporal test sets, thirty-two classification methods were systematically evaluated on both findings and impression sections. …

The Johnson-Křížek-Mercier Elasticity Element In Higher Dimensions, Jay Gopalakrishnan, Johnny Guzman, Jeonghun J. Lee

Mathematics and Statistics Faculty Publications and Presentations

Mixed methods for linear elasticity with strongly symmetric stresses of lowest order are studied in this paper. On each simplex, the stress space has piecewise linear components with respect to its Alfeld split (which connects the vertices to barycenter), generalizing the Johnson–Mercier two-dimensional element to higher dimensions. Further reductions in the stress space in the three-dimensional case (to 24 degrees of freedom per tetrahedron) are possible when the displacement space is reduced to local rigid displacements. Proofs of optimal error estimates of numerical solutions and improved error estimates via postprocessing and the duality argument are presented.

Against The Perfect Theory-Theory: Toward A Tenable Realism, Magnus Fried

Budhi: A Journal of Ideas and Culture

We all have realistic intuitions: there is a mind-independent world out there, and we can capture some of its features in our scientific theories. There have been many attempts to justify our realistic intuitions, and I will analyze some that build on ideas from Saul Kripke and (in particular) Hilary Putnam. However, many of these attempts share a dependency on what I call “The Perfect Theory -Theory,” which holds that there could be a theory that perfectly mirrors the objectively existing world. But this theory is defunct, so the dependency is an issue. Scientific realism, many have argued, relies on …

Inclusive Stem Education In Nigerian Schools:An Emerging Pathway For Substainable Development, Oginni Aderonke Margaret Dr., Awobodu Victoria Yetunde Dr., Olusegun Bisola Esther Miss

Journal of Educational Research and Practice

Inclusive STEM (science, technology, engineering, and mathematics) education plays a vital role in promoting equitable learning opportunities and fostering sustainable development. However, in Nigeria, many marginalized student groups face barriers that hinder their full participation in STEM fields. This study examines the factors impeding inclusivity in STEM education and their effects on students’ motivation, academic performance, and awareness of sustainable development in Lagos State. Employing a survey research design, data were gathered from 550 students selected through simple random sampling across 21 secondary schools in Education Districts I, III, and V. A researcher-developed questionnaire was used for data collection. To …