Digital Commons Network^™

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

Electrical and Computer Engineering Faculty Research & Creative Works

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

A Practitioner’S Guide To Panel Data Quantile Regression, Antonio F. Galvao, Carlos Lamarche

Economics Faculty Publications

Quantile regression for panel data has become a common model of interest for econometricians and statisticians. The theoretical literature has addressed important questions, including identification, estimation, and statistical inference. Although recent advances have enabled practitioners to estimate flexible models under a wide range of assumptions, practical issues have not been fully addressed. In this paper, we offer a guide to empirical practice intended to help applied researchers navigate the challenges of estimation and inference for panel quantile models. We also present a series of practical recommendations and illustrations, emphasizing both “why” and the “how” to help researchers with the implementation …

A Simple Statistical Tool To Correct The Daily Temperature Effect On Dielectric Soil Matric Potential Sensor Readings, Sebastián Bravo Peña, Meindert Commelin, Ole O. Wendroth

Plant and Soil Sciences Faculty Publications

High-resolution time series recorded by soil water dielectric sensors are often affected by other processes. Dielectric soil matric potential sensors, such as the TEROS 21, exhibit temperature sensitivity, resulting in deviations of readings from the true value due to soil temperature fluctuations. However, methods for correcting this effect remain limited. The objective of this study was to create a straightforward, scale-based statistical approach to mitigate the influence of daily temperature oscillations on matric potential dielectric readings. The temperature sensitivity correction function (TSCF) identifies, quantifies, and smooths diurnal fluctuations caused by soil temperature dynamics. We provide a detailed description of the …

Apoe4 Drives Maladaptive Heterogeneity And Immunometabolic Responses Of Astrocytes, Danielle S. Goulding, Holden C. Williams, Amy A. Gorman, Nicholas A. Devanney, Douglas A. Harrison, Adeline E. Walsh, Tony Tuck, Diana J. Zajac, Shannon L. Macauley, Steven Estus, Julia Tcw, Lance A. Johnson, Josh M. Morganti

Sanders-Brown Center on Aging Faculty Publications

Apolipoprotein E4 (APOE4) is the strongest risk allele associated with the development of late onset Alzheimer’s disease (AD). Across the CNS, astrocytes are the predominant expressor of APOE while also being critical mediators of neuroinflammation and cerebral metabolism. APOE4 has been consistently linked with dysfunctional inflammation and metabolic processes, yet insights into the molecular constituents driving these responses remain unclear. Utilizing complementary approaches across humanized APOE mice and isogenic human iPSC astrocytes, we demonstrate that ApoE4 alters the astrocyte immunometabolic response to pro-inflammatory stimuli. Our findings show that ApoE4-expressing astrocytes acquire distinct transcriptional repertoires at single-cell and spatially-resolved domains, which …

How Should Ai Talk About Us? Llms And Social Generics, Tiffany A. Zhu

Philosophy Faculty Publications

How should AI-generated speech balance epistemic aims, such as precision and accuracy, with ethical and social considerations? This paper examines a subtle yet consequential aspect of LLM-driven communication: the use of generic generalizations that convey information about social groups (e.g., “immigrants work low-wage jobs”). While central to human epistemic and pedagogical practices, generics are theorized to reinforce stereotypes, essentialism, and injustice. Using ChatGPT-3.5 as a case study, I uncover tendencies for AI chatbots to inconsistently hedge and refuse generics, including those that reflect well-documented social structural patterns, such as “women are more likely to get attacked while walking alone at …

Applying Photovoice To Uncover Fundamental Causes Of Health Inequality In Local Health Contexts, Marisa Booty, Madelyne G. Culbertson, Mason Taylor, Dakota Heise, Heather Stone, Katherine Leanne Kommer, Jennifer Gulley, Jeanette Hart, Christina Nentwick, Margaret Mcgladrey

Sociology Faculty Publications

Introduction: Participatory action research methods like Photovoice are uniquely equipped to identify structural determinants of health based on lived experiences of how they influence proximal and distal population health outcomes. This study uses Photovoice data to examine how structural determinants impact community health needs.

Methods: Qualitative thematic analysis used focus group discussion data (25 transcripts) from four Kentucky counties that embedded Photovoice into their local health department community health assessment processes. Coded excerpts were examined for ways in which participants' community health concerns reflected structural issues rather than individual health behaviors.

Results: Participants perceived issues such as houselessness, food insecurity, …

Factors Associated With Handgun Carriage Among U.S. Adolescents, 2021–2022, Marisa Booty, Maggie K. Richardson, Dylan B. Jackson, Delvon T. Mattingly

Sociology Faculty Publications

Objective: The rise in adolescent handgun carriage over the past decade represents a significant public health concern. Using nationally representative data, this study examines risk factors associated with handgun carriage among U.S. adolescents.

Methods: We used data on adolescents aged 12–17 years from the 2021 and 2022 National Survey on Drug Use and Health ( n = 20,869), with past-year handgun carriage defined as a binary variable. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs) to determine factors associated with handgun carriage across adolescent age groups (12–13 years, 14–15 years, 16–17 years).

Results: The average prevalence of …

Evaluation And Design Of A Footing Hybrid Connection For Innovative Hollow-Core Fiber-Reinforced Polymer–Concrete–Steel Composite Columns, Mohanad M. Abdulazeez, Mohamed A. Elgawady

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

To support the advancement of accelerated bridge construction in high-seismic regions, this study investigates a novel prefabricated column-to-footing connection designed for improved resiliency, constructability, and cost efficiency. The socket connection utilizes hollow-core fiber-reinforced polymer–concrete–steel (HC-FCS) columns with embedded corrugated steel pipes (CSPs). The composite HC-FCS column consists of a concrete shell sandwiched between an outer fiber-reinforced polymer tube and an inner steel tube. The inner steel tube is embedded into the footing connection of the HC-FCS column. The same authors tested the innovative socket connection on a large HC-FCS column under seismic loads, showing high ductility, strong moment and drift …

You Only Need One Stage: Novel-View Synthesis From A Single Blind Face Image, Taoyue Wang, Xiang Zhang, Xiaotian Li, Huiyuan Yang, Lijun Yin

Computer Science Faculty Research & Creative Works

We propose a novel one-stage method, NVB-Face, for generating consistent Novel-View images directly from a single Blind Face image. Existing approaches to novel-view synthesis for objects or faces typically require a high-resolution RGB image as input. When dealing with degraded images, the conventional pipeline follows a two-stage process: first restoring the image to high resolution, then synthesizing novel views from the restored result. However, this approach is highly dependent on the quality of the restored image, often leading to inaccuracies and inconsistencies in the final output. To address this limitation, we extract single-view features directly from the blind face image …

Qura: Reinforcement Learning Based Routing For Quantum Networks, Tasdiqul Islam, Engin Arslan, Md Arifuzzaman

Computer Science Faculty Research & Creative Works

Quantum routing deals with identifying a set of quantum repeaters to use to create entanglement between distant endpoints. Previous approaches proposed shortest-path and linear programming methods to find a solution to this problem. While the shortest path approach results in suboptimal performance, linear programming takes too long to find a solution as the network size and constraints increase. In this paper, we apply Deep Q-Reinforcement Learning (DQRL) to optimize routing in quantum networks both in terms of execution time and performance. The proposed Quantum Routing Algorithm (QuRA) first chooses which request to schedule among all requests. It then determines which …

Utility-Preserving Federated Graph Learning With Dual-Perspective Fairness, Renqiang Luo, Huafei Huang, Shuo Yu, Fengqi Yu, Feng Xia, Sajal K. Das, Chengqi Zhang

Computer Science Faculty Research & Creative Works

Fairness-aware federated graph neural networks (FedGNNs) necessitate consideration of both the server and the clients. However, fairness-aware methods struggle to enhance dual-perspective (i.e., server and clients) fairness without sacrificing utility due to the distributed learning framework. As a consequence, the utility sacrifices of fairness-aware graph learning methods are even exacerbated in federated frameworks. In this work we propose F3GL, a dual-perspective fairness federated graph learning method that enhances both global (for the server) and local fairness (for clients) while preserving utility. Through theoretical analysis, we delineate the similarity between original sensitive features and those after convolution under different spectra. Our …

Feddot: Defending Federated Learning Against Overwhelming Targeted Attacks, Priyesh Ranjan, Ashish Gupta, Federico Coro, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning (FL), which facilitates collaborative model training and protects users' privacy, has drawn great interest from the research community. With FL, participants train their models on local data and submit the corresponding updates for aggregation to a server. While concealing the identities of the participants, FL may attract adversaries in order to hamper the underlying model. In this paper, we propose an FL framework, FedDOT, to defend against adversaries performing targeted attacks. FedDOT incorporates two powerful defense algorithms, Maximum Spanning Tree based attacker detection (MSTAD) and Densest graph-based attacker detection (Density-AD), which leverage correlation between weight updates and graph …

Dcmm-Transformer: Degree-Corrected Mixed-Membership Attention For Medical Imaging, Huimin Cheng, Xiaowei Yu, Shushan Wu, Luyang Fang, Chao Cao, Jing Zhang, Tianming Liu, Dajiang Zhu, Wenxuan Zhong, Ping Ma

Computer Science Faculty Research & Creative Works

Medical images exhibit latent anatomical groupings, such as organs, tissues, and pathological regions, that standard Vision Transformers (ViTs) fail to exploit. While recent work like SBM-Transformer attempts to incorporate such structures through stochastic binary masking, they suffer from non-differentiability, training instability, and the inability to model complex community structure. We present DCMM-Transformer, a novel ViT architecture for medical image analysis that incorporates a Degree-Corrected Mixed-Membership (DCMM) model as an additive bias in self-attention. Unlike prior approaches that rely on multiplicative masking and binary sampling, our method introduces community structure and degree heterogeneity in a fully differentiable and interpretable manner. Comprehensive …

Characterization Of The Human Thnatomicrobiome By Decomposition Stage Through Bioinformatic And Meta Data Analysis, Ashton C. Laughlin

Biology Theses

Estimating the postmortem interval (PMI) is one of the most crucial factors in forensic death investigations. Recent advances in forensic microbiology have led to increased interest in using the study of the human postmortem microbiome, or “thanatomicrobiome,” to improve PMI estimates. In addition to current PMI estimation techniques, microbial community succession could serve as a valuable tool in estimating PMI. Further research is needed to develop a comprehensive understanding of the human postmortem microbiome. The purpose of this study is to contribute to the expansion of this tool by reviewing the current literature and analyzing previously published data using the …

Adversarial Robustness In Biomedical Time-Series Models, Rohan Tiwari

Bioengineering Theses

This study investigates adversarial vulnerabilities in deep learning models for biomedical time-series classification across two clinically important modalities: electrocardiography (ECG) and electroencephalography (EEG). Using the MIT-BIH Arrhythmia and CHB-MIT seizure datasets, I evaluate time-domain attacks (FGSM, PGD), Fourier-domain constrained attacks, and learned spectral perturbations designed to reveal modality-specific sensitivity patterns. Across both tasks, a consistent trend emerges low-frequency components (0–5 Hz) constitute a dominant axis of adversarial vulnerability, with perturbations in this range producing the steepest degradation in classification performance. In ECG models, protecting the physiologically relevant QRS band (5–20 Hz) significantly improves robustness, whereas EEG models remain highly sensitive …

Impacts Of Offshore Wind Energy Development On The Commercial Sea Scallop Fishery, Sarah Borsetti, Daphne M. Munroe, John M. Klinck, Andrew M. Scheld, Eileen E. Hofmann, Eric N. Powell, David B. Rudders

CCPO Publications

The Atlantic sea scallop (Placopecten magellanicus) fishery on the Northeast U.S. continental shelf generates approximately USD 500 million ex-vessel revenues annually, making it one of the most valuable single species fisheries in the United States. Wind energy development is planned for key areas on the U.S. Mid-Atlantic shelf where the Atlantic sea scallop fishery operates, creating novel challenges in managing trade-offs between traditional users like fisheries and new users like offshore wind energy. An agent-based modeling framework that integrates spatial dynamics in Atlantic sea scallop stock biology, fishing fleet behavior, and federal management decisions, was implemented to investigate …

Drivers Of Phytoplankton Bloom Interannual Variability In The Amundsen And Pine Island Polynyas, Guillaume Liniger, Delphine Lannuzel, Sébastien Moreau, Michael S. Dinniman, Peter G. Stutton

CCPO Publications

The Amundsen Sea Embayment (ASE) experiences both the highest ice shelf melt rates and the highest biological productivity in West Antarctica. Using 19 years of satellite data and modelling output, we investigate the long-term influence of environmental factors on the phytoplankton bloom in the Amundsen Sea (ASP) and Pine Island (PIP) polynyas. We test the prevailing hypothesis that changes in ice shelf melt rate could drive interannual variability in the polynyas' surface chlorophyll-a (chl a) and Net Primary Productivity (NPP). We find that the interannual variability and long-term change in glacial meltwater may play an important role in …

On The Contribution Of The Gulf Stream To High Frequency Coastal Sea Level Variability, Tal Ezer

CCPO Publications

Long-term Atlantic Ocean and Gulf Stream (GS) variability were linked in past studies to coastal sea level (CSL) change along the U.S. East Coast - a weakening GS can lead to rise in CSL and increased coastal flooding. However, high frequency variability (HFV) in CSL is, in most cases, attributed to atmospheric weather events. This study is focused on HFV (intraseasonal variations with periods between similar to 1 week and similar to 2 months) in the GS and in CSL. First, wavelet and spectral analysis of observations of the Florida Current transport and CSL characterized the HFV in the data, …

Ecological Feedbacks In The Earth System, Eugene J. Murphy, Jessica J. Williams, Isla H. Myers-Smith, Vivienne P. Groner, David M. P. Jacoby, Lester Kwiatkowski, Jess Melbourne-Thomas, Emma Ransome, Cristina Banks-Leite, Laurent Bopp, Marion Gehlen, Eileen E. Hofmann, Babette Hoogakker, Nadine M. Johnston, Yadvinder Malhi, Emma L. Cavan

CCPO Publications

Ecological feedbacks are fundamental features of the Earth system, affecting physical processes and chemical cycles. Our understanding of the interactions underlying these feedbacks at different spatial and temporal scales and the extent to which feedbacks affect Earth system functioning remains limited. Climate change and other anthropogenic pressures are already negatively affecting ecological processes in marine, freshwater, and terrestrial ecosystems. These will most likely be amplified in the coming decades under our current warming and socioeconomic pathways. The knock-on impacts on ecological feedbacks have the potential to cause rapid perturbations to the Earth system, and may significantly impact the structure and …

Results Of The Second Ice Shelf-Ocean Model Intercomparison Project (Isomip+), Claire K. Yung, Xylar S. Asay-Davis, Alistair Adcroft, Christopher Y. S. Bull, Jan De Rydt, Michael S. Dinniman, Benjamin K. Galton-Fenzi, Daniel Goldberg, David E. Gwyther, Robert Hallberg, Matthew Harrison, Tore Hattermann, David M. Holland, Denise Holland, Paul R. Holland, James R. Jordan, Nicolas C. Jourdain, Kazuya Kusahara, Gustavo Marques, Pierre Mathiot, Adele K. Morrison, Yoshihiro Nakayama, Olga Sergienko, Robin S. Smith, Alon Stern, Ralph Timmermann, Qin Zhou

CCPO Publications

Ocean-driven basal melting of Antarctic ice shelves plays an important role in the mass loss of the Antarctic Ice Sheet. Ice shelf cavity-resolving ocean models are a valuable tool for understanding ice shelf-ocean interactions and for simulating projections of ice shelf and ocean states under future climate. Designed to assess the current state of ice shelf–ocean modelling, the second Ice Shelf–Ocean Model Intercomparison Project, ISOMIP+, consists of 12 ocean model configurations submitted with a common, idealised experimental setup. Here, we focus on the experiments Ocean0–2 (Asay-Davis et al., 2016), which are ocean models with idealised, static ice …

Basal Melting Variability Of The Ross Ice Shelf From Mixing Ratios Of Simulated Water Masses (1993-2018) And Potential Climatic Drivers, Enrico Pochini, Andrea Bergamasco, Florence Colleoni, Manuel Bensi, Giorgio Budillon, Pasquale Castagno, Michael S. Dinniman, Pierpaolo Falco, Emanuele Forte, Vedrana Kovačević, Stefanie L. Mack

CCPO Publications

Several water masses circulate under the Ross Ice Shelf (RIS), the largest ice shelf in Antarctica, each causing basal melting with a specific spatio-temporal pattern. To investigate these patterns and their variability, we applied a mixing ratio analysis to simulated water masses from a new numerical ocean model of the Ross Sea. The simulation, which was run over 26 years (1993–2018) and which includes the RIS cavity, shows good agreement with seaborne and mooring observations. The total RIS basal melt rate is 90 Gt/yr on average, and is caused mostly by High Salinity Shelf Water (HSSW) (68%), which enters the …

Lessons For Transformative Ocean Science From The Integrated Marine Biosphere Research (Imber) Project, Deborah Santos Prado, Ella-Kari Muhl, Mia Strand, Derek Armitage, Nina Bednaršek, Stephanie Brodie, Christopher Cvitanovic, John Claydon, Sam Dupont, Karen Evans, Alistar Hobday, Eileen Hofmann, Raleigh Hood, Laura Kaikkonen, Dongyan Liu, Jessica Melbourne-Thomas, Franz Mueter, Eugene Murphy, Prateep Kumar Nayak, Alice Newton, Heidi Pethybridge, Carol Robinson, Samiya Selim, Rowan Trebilco, Micaela Trimble, Fang Zuo

CCPO Publications

This paper synthesizes the key contributions and lessons learned from Integrated Marine Biosphere Research (IMBeR), a large-scale global research project aimed at fostering ocean sustainability under global change for the benefit of society. The UN Decade of Ocean Science for Sustainable Development has catalyzed a renewed focus on the importance of transforming ocean science. IMBeR’s global activity over the past decade has focused on promoting transformative science by generating, mobilizing, and communicating the knowledge needed to support ocean governance. Key contributions from IMBeR participants include quantifying and comparing historic and present structure and functioning of linked ocean and human systems, …

Intermittent Versus Continuous Reinforcement: Which Is More Effective For Skill Acquisition In Children With Adhd Using Precision Teaching?, Samantha Pulling

Masters Theses

Children with Attention Deficit Hyperactivity Disorder (ADHD) can experience challenges learning academic skills, possibly because of altered reinforcement and learning processes. Reinforcement is commonly used to support learning and adaptive behavior; however, research examining continuous and intermittent reinforcement schedules for children with ADHD has produced inconsistent findings. Precision Teaching (PT) is a fluency-based, data-driven instructional approach that emphasizes rate and celeration of behavior and has been shown to effectively support academic learning for individuals with ADHD. This study compared the effects of a continuous reinforcement schedule with a small reinforcer and an intermittent reinforcement schedule with a larger reinforcer on …

Risk Factors Of Child Sex Trafficking: A Gender-Based Scoping Review In The U.S. And Cross-Border Contexts, Peyton Forbes

Social Work Theses

Child sex trafficking is a major public health issue affecting the youth population of the United States and internationally. This scoping review examines risk factors on multiple levels including individual, family, community, and macro and digital contexts. A systematic search of databases identified 32 studies meeting inclusion criteria. Findings suggest that individual-level risk includes cumulative exposure to violence and trauma, substance use, mental health and behavioral problems, child welfare and justice involvement, runaway behavior, educational disruption, limited social support, and intersection demographic vulnerabilities (e.g., gender, sexuality, race/ethnicity, disability). Family‑level risk reflects unstable or unsafe home environments characterized by substance use, …

Grading In The Digital Age: Ai Feedback Versus Professor Feedback, Latoya Russell, Andrew Zeisler, Ronald Mickler Jr.

2026 Faculty Bibliography

Feedback is a cornerstone of academic development, particularly in marketing education, where skill development often requires iteration and applied practice. While instructors spend considerable time providing effective feedback, artificial intelligence (AI) tools can significantly reduce this burden by generating timely, tailored responses. For example, AI-based chatbots can supplement instruction, providing students with timely feedback and reducing instructors’ workload. This study examines how marketing students perceive feedback quality based on its source, specifically whether it is delivered by an AI system or a human instructor. Through a scenario-based experiment, we investigate student perceptions of feedback quality and effectiveness based on the …

Wedges: A Microeconomic Perspective On Misallocation, Lauren Falcao Bergquist, Danial Lashkari, Eric Verhoogen

Discussion Papers

This chapter takes stock of what has been learned from the recent micro-development literature about wedges—mechanisms generating dispersion in marginal revenue products of factors across firms, which are commonly interpreted as indicators of misallocation. We present a general theoretical framework that allows us to consider several different types of wedges simultaneously. We argue that it is important to distinguish between between technological wedges, which are present even in the efficient allocation that would be chosen by the social planner, and distortionary wedges, which are present in market equilibrium but not the social planner's allocation. Not all wedges, as we have …

From Weapon To Shield: Risk And Special Intent In South Africa’S Case Against Israel, Heidi Matthews

Articles & Book Chapters

South Africa’s genocide case against Israel at the International Court of Justice is best understood as a mode of judicial self-help, instead of a method of undermining Israel’s sovereignty. The fact that South Africa claims standing – based partly on its own obligation to prevent genocide – has been largely overlooked in scholarly discussions of the case. However, centring this fact allows us to see that it is Israel’s alleged intentional creation of circumstances that give rise to a serious risk of genocide in Gaza that constitutes the core of South Africa’s case. The plausible existence of such a risk …

Economic Development And The Environment, Kelsey Jack, Nicholas Ryan

Discussion Papers

Economic development relies on and transforms the environment. The transformation is evident in the poor environmental quality in many developing countries. For example, air quality in Southeast Asia is three times worse than in the United States, in sub-Saharan Africa four times worse and in South Asia more than six times worse. We model how environmental quality affects health, productivity and well-being and how individuals privately adapt to environmental hazards. We also model how collective action and formal regulation contribute to environmental quality. We draw three main findings from a review of empirical research on these mechanisms. First, individual adaptation …

Skipping The Factory: Service-Led Growth And Structural Transformation In The Developing World, Michael Peters, Youdon Zhang, Fabrizio Zilibotti

Discussion Papers

In today’s developing world, many economies appear to bypass industrialization and transition directly from agriculture to services. The largest rise in service employment has occurred in non-tradable consumer services, such as retail and hospitality, especially in urban areas, where many cities resemble consumer hubs built around local demand. These patterns of growth raise fundamental questions: Can service-led growth sustain improvements in living standards over time? Is service-led growth inherently biased toward affluent urban consumers? What role should policy play? To address these questions, we propose a parsimonious general equilibrium framework that incorporates non-homothetic preferences and locally non-tradable consumer services in …

Development And Integration Of A Liquid Rocket Propulsion System For A High-Power Rocket, Matthew A. Dipofi, Christina Griggy, Jonathan Armbrust, Jackson Frame

Williams Honors College, Honors Research Projects

The goal of this project is to integrate the Stinger liquid rocket engine, a regeneratively cooled LOX/ethanol engine developed by the Akronauts Rocket Design Team, into the Copperhead launch vehicle. The objective is to design, build, and test a complete propulsion system including electronics, software, pressurization, tanks, and instrumentation capable of flight. A key innovation is the electronic pressure regulation system, which replaces mechanical regulators with servo-actuated valves running PID loops for precision and an extra degree of control.

The Stinger engine, under development since Fall 2023, has undergone nine hot-fire tests, with further testing planned to qualify the new …