Digital Commons Network^™

Copyright In Characters: A Proposal For Reform, Michael W. Carroll

Akron Law Review

No abstract provided.

Ai Pirated My Art And Birthed Infringing Works, And Other Metaphors That Confound Copyright Law, Michael D. Murray

Akron Law Review

No abstract provided.

Banking On Jarkesy, Jacob Cunningham, Todd Phillips

Duke Law Journal Online

The 150-year-old bank regulatory system is under threat. Following the Supreme Court’s landmark decision in Jarkesy, bankers have filed numerous lawsuits challenging the ability of the federal bank regulatory agencies to adjudicate cases in non-Article III tribunals. But unlike the agencies tasked with enforcing the securities, antitrust, and consumer protection laws, the banking regulators lack statutory authority to file cases in federal court. A decision invalidating their in-house adjudicative authority strips of them of any forum in which to file enforcement actions.

This essay argues that these lawsuits should fail. Because the Seventh Amendment jury trial right exempts “public rights,” …

Minority Leaders’ Impact On Corporate Diversity And Organizational Change, Nana Kwasi Amponsah

Walden Dissertations and Doctoral Studies

Workplace diversity continues to face criticism due to the limited representation of minority groups, with little progress made in the corporate sector. Despite corporations’ efforts to increase diversity and inclusion in the workplace, a notable lack of minority leadership persists in upper management roles. The purpose of this explanatory sequential mixed-method study was to explore the factors that affect the selection of minority leaders and how corporate executives utilize diversity, equity, and inclusion (DEI) initiatives to foster significant organizational change, even in the face of ongoing underrepresentation in upper management. Social dominance theory, anti-egalitarianism, and social construction theory grounded this …

Sex-Specific Evolutionary Programs Shape Recombination Rate Evolution In House Mice., Lydia K Wooldridge, Micah Pietraho, Peyton Disiena, Sam Littman, Benjamin Clauss, Beth L Dumont

Faculty Research 2026

Recombination rates vary across species, populations, and sexes. House mice (Mus musculus) present a particularly extreme example. Prior studies have established large differences in global recombination rates between M. musculus subspecies and inbred strains, with males exhibiting more extensive variation than females. The observation of sex-limited variation has prompted the hypothesis that male and female recombination rates may evolve by distinct evolutionary mechanisms in M. musculus. Here, we formally evaluate this hypothesis in a phylogenetic framework. We combine cytogenetic estimates of genomic crossover counts with published data to compile a large dataset of sex-specific crossover rate estimates totaling >6,000 single …

Impact Of Grain Size On Low-Temperature Carrier Phase Coherence Length In Polycrystalline Halide Perovskite Films, Aungkan Sen, Liam J. Scanlon, Axel Melchor Gaona Carranza, Jose L. Mendoza-Cortes, Johannes Pollanen, Richard R. Lunt, William J. Gannon

Physics and Astronomy Faculty Publications

Halide perovskites are now being studied for a full range of optoelectronic devices due to their excellent electronic and optical properties. This work explores the impact of grain boundaries on low-temperature carrier transport in polycrystalline cesium tin iodide (CsSnI₃) within the quantum diffusive transport regime, comparing a range of polycrystalline samples with varying grain sizes with epitaxial counterparts. Low-temperature magnetoresistance measurements reveal the presence of weak anti-localization (spin-orbit effects) with a shorter coherence length (L_ϕ) than the epitaxial films. Surprisingly, L_ϕ is not found to be impacted by grain size, despite being nearly an order …

2025 Uninsured Adult Healthcare Safety Net Annual Report, Tennessee. Department Of Health.

Healthcare Safety Net Annual Report

No abstract provided.

Integrated Road Usage Fee Management Within Digital Navigation Systems, Paula Marques

Defensive Publications Series

Digital navigation systems may identify routes with fee-based road segments, such as tolls or vignettes, but may not provide an integrated method for payment. This can result in a fragmented and manual process for drivers with varied and unfamiliar payment systems. A system is described for integrating road usage fee management within a digital navigation service. The system can utilize a route analysis engine to identify fees, a client-side geofencing module on a computing device (e.g., a smartphone, smart watch, wearable device, in-vehicle infotainment system, augmented reality glasses, etc.) To detect a vehicle's entry into a fee-based zone, and a …

Dynamic Ai Agent Orchestration For Nl-To-Sql Query Generation, Janga Aliminati, Manny Sanchez Munoz, Sundeep Narravula, Robin Singh

Defensive Publications Series

Reliably generating accurate structured query language (SQL) queries from natural language (NL) inputs is a difficult task due to challenges such as schema ambiguity, uncertainty regarding table relationships, complex business logic makes, etc. LLM-based solutions are often unable to operate reliably within complex, real-world enterprise environments with complex datasets. This disclosure describes the use of agentic artificial intelligence (AI) for NL-to-SQL query transformations. A semantic data layer leverages a three-tiered model - attributes, entities and cubes. Attributes define dimensions within a table, entities represent a logical view of data, and cubes act as business objects that abstract the complexity of …

Continuous Ambient Microphone Calibration Via Opportunistic Broadband Auditory Icons, Rajeev Nongpiur, Chris Breithaupt

Defensive Publications Series

Performance drift in microphone arrays is often caused by environmental factors such as dust, moisture, and grime accumulating over time. This spectral mismatch degrades the performance of spatial audio algorithms that rely on precise array calibration. To address this limitation, a continuous calibration method is disclosed wherein broadband earcons are opportunistically played through device speakers. Audio responses are recorded by on-device microphones during defined user scenarios. A background model is generated to filter out environmental noise and room reverberation from these recordings. Subsequently, the filtered in-field measurement is compared against a reference factory template to estimate spectral deviation. A calibration …

Glossary-Augmented Generative Ai For Enterprise Translation, Tanmay Kayande, Deep Raithatha, Akash Dambhare, Pooja Agrawal, Mohith P

Defensive Publications Series

Global enterprise operations can experience inefficiencies and service delays from language-siloed support queues, while generic machine translation tools may lack the context to handle enterprise-specific terminology. A system and method can facilitate multilingual communication by integrating a generative artificial intelligence model within enterprise workflow platforms, such as customer relationship management systems. The framework can programmatically retrieve a curated, enterprise-specific glossary and inject it into a translation prompt sent to the model. This technique grounds the model, instructing it to prioritize an organization's specific lexicon for a given translation. The approach can produce translations that are both linguistically fluent and terminologically …

System For Proactive Intervention And Dual-Mode Data Compliance, Tanmay Kayande, Pooja Agrawal, Akash Dambhare, Mohith P, Deep Raithatha

Defensive Publications Series

Enterprise service platforms can present operational challenges due to reactive support models and compliance risks associated with managing sensitive data, such as personally identifiable information (PII). A dual-function architecture may integrate a proactive intervention engine and an augmented data compliance framework. The intervention engine can analyze real-time data signals from various enterprise systems using an inference layer, such as a large language model, to predict potential user friction points and deliver preventative interventions. Concurrently, the compliance framework can provide a proactive component for detecting potential PII for human-in-the-loop review and an on-demand utility for creating non-destructive, anonymized versions of data …

Ousmane Savane V. Secretary United States Department Of Homeland Sec

2026 Decisions

USDC for the Eastern District of Pennsylvania

Titlemax Of Virginia, Inc. V. Secretary Pennsylvania Department Of Banking And S

2026 Decisions

USDC for the Middle District of Pennsylvania

A Policy Reversal As Structural Break: A Lesson From China’S Land Lease Financing For Infrastructure, Yilin Hou, Lin Li, Lei Shao

Center for Policy Research

Land-based revenues as a fiscal instrument to finance infrastructure tie public investment to real estate markets, where demand fluctuations cause fiscal consequences. This paper takes policy reversals as structural breaks and examines their impacts on infrastructure investment. We dissect China’s 2016 policy reversal that disallowed developers to finance land purchase with debt, causing sharp declines in local government land revenues, slashing their fiscal base for infrastructure investment. Using prefecture-level panel data and continuous difference-in-differences identification, we estimate the reversal reduced land-lease revenues by 55%. Two-stage least squares estimates suggest a 10% land-revenue decline translates into 6.6% investment reduction. Decomposing the …

Ai In Ocean Traffic Monitoring, Tyler Hawkins, Steven D. Meyers, Aishlin Ingraham, Mark E. Luther

Making Waves REU

The Maritime Automatic Identification System (AIS) produces over 100 terabytes of data annually. offering vital insights into globaJ vessel traffic, identity, and navigation patterns. However, the massive volume and inconsislent quality of AIS data introduce challenges for researchers seeking to extract reliable and applicable information. This study investigates the, effectiveness of Julius Al, an off-the-shelf data science platform, for streamlining the analysis of a ilarge AIS dataset, spanning 2015 to 2019 and covering over 42 million messages from Florida's five busiest ports. The results were compared to a previous human analysis. By leveraging only natural language prompts, we explore how …

Coworkers' Lived Experiences Of Being Exposed To Healthcare Professionals Misusing Substances, Juratu Garuba-Agbebaku

Walden Dissertations and Doctoral Studies

Despite the harm of substances, coworkers in hospitals, healthcare facilities, and urgent care centers found themselves among healthcare professionals who misused substances such as alcohol and prescription medication. Grounded in social cognitive theory, the purpose of this qualitative descriptive phenomenological study was to explore the lived experiences of coworkers who have been exposed to healthcare professionals’ substance misuse. The participants consisted of 12 healthcare professionals working in various hospitals, healthcare facilities, and urgent care centers in the United States. Data were collected using semistructured interviews. Through Colaizzi’s seven-step analysis, five themes emerged: (a) emotional experiences, (b) ethical reflections, (c) cognitive …

Investigating The Role Of Team Chemistry In Winning Percentage Of Collegiate Women’S Soccer Teams At The End Of A Fall Competitive Season, Erin Kasmarik-Mallett

Doctorate in Kinesiology

This study examined the relationship between team chemistry and winning percentage in collegiate women’s soccer teams following a fall competitive season. Using a quantitative, correlational design, team-level survey data assessing cohesion, team mental models, collective efficacy, and leadership were aggregated and analyzed in relation to end-of-season performance. Pearson correlations and linear regression analyses indicated a positive association between overall team chemistry and winning percentage, with team mental models and collective efficacy showing the strongest relationships. These findings support team chemistry as a measurable, multidimensional contributor to performance success and provide empirical guidance for coaches seeking evidence-based strategies to enhance team …

Characterization Of Inflammatory Pseudotumors In A Large Animal Model Of Liver Cancer, Erik N K Cressman, Samantha Hicks, Natalie W Fowlkes, Danielle L Stolley, Maria Sophia Stenkamp

Faculty, Staff and Student Publications

Background: The development of relevant and robust large animal models of hepatocellular carcinoma is needed to test new therapeutic strategies for this disease. Transgenic approaches hold promise in addressing this complex problem. One such model, the Oncopig, has been reported to develop tumors of up to 4 cm in diameter within 7-14 days at sites of in situ vector inoculation. However, the resulting lesions reportedly contained an extensive inflammatory component that has not been evaluated in detail.

Methods: Herein, we describe our results from multiparametric characterization of the lesions generated using liver biopsy cores incubated in vector solution and replaced …

3d Reconstruction Of Spatial Transcriptomics With Spatial Pattern Enhanced Graph Convolutional Neural Network, Chen Tang, Yuansheng Zhou, Xue Xiao, Lei Dong, Lei Yu, Qiwei Li, Guanghua Xiao, Lin Xu

Faculty, Staff and Student Publications

Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for analyzing SRT data rely solely on two-dimensional (2D) spatial coordinates, which limits their ability to accurately identify spatial domains, spatially variable genes (SVGs), cell-to-cell communications, and developmental trajectories in a three-dimensional (3D) spatial manner. To address these limitations, we introduced Spa3D, which utilized the anti-leakage Fourier transform and graph convolutional neural network model to reconstruct 3D-based spatial structures from multiple 2D SRT slices. We demonstrate that Spa3D is …

Bedford Avenue Associates V. Gurley

All Decisions

In this project-based Section 8 non-payment proceeding, the tenant moved for summary judgment and an order to correct. The court granted the tenant's unopposed motion, dismissing the landlord's non-payment claim without prejudice due to the landlord's failure to serve the required Violence Against Women Act (VAWA) notice with the termination notice. The court also granted the tenant's demand for an order to correct housing violations, finding nine open violations in the apartment as per DHPD's report.

Change Detection In An Electronic Device Using Resonant Frequency Analysis, Alan She

Defensive Publications Series

Detecting internal physical changes in an electronic device (e.g., a smartphone, smart watch, wearable device) may be difficult with some conventional methods, and is often limited to chemical or electrical monitoring that fails to detect structural changes. A system can perform a mechanical resonant frequency analysis using existing hardware components, such as a haptic actuator and one or more sensors (e.g., an accelerometer, a microphone). The haptic actuator can be configured to generate a vibrational stimulus across a range of frequencies, while the sensors can measure the device's corresponding response. This measured response data can be processed to generate a …

Re: Conditional Approval Letter For The Draft Final Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site Pre-Design Investigation (Pdi) Evaluation Report (Dated September 12, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Qualitative And Numerical Observations Into The Career Trajectories Of Early Career Academics: A Mathematical Model Approach, Oluwatayo M. Ogunmiloro

Tanzania Journal of Science

This study develops and analyzes a mathematical model that describes the interplay among different researcher groups within academia by focusing on how variables such as mentorship, access to funding, and academic peer influence affect the career trajectories of early-career, experienced, redundant, and successful researchers. Using stability theory and relevant theorems of differential equations, this study ensures the existence, uniqueness, positivity, and boundedness of the model's solutions. Additionally, the model’s equilibrium states, are analyzed to determine the local asymptotic stability. Numerical simulations using the Runge-Kutta fourth-order (RK4) method, implemented in Python, are performed to illustrate issues related to career growth within …

Re: Comment Letter For Draft Clark Tailings Consolidated Waste Management Area (Ctcwma) 2024 Data Summary Report (Dated October 15, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Virtual Kitchen Challenge-Version 2: Validation Of A Digital Assessment Of Everyday Function In Older Adults, Marina Kaplan, Moira Mckniff, Stephanie M. Simone, Molly B. Tassoni, Katherine Hackett, Sophia Holmqvist, Rachel E. Mis, Kimberly Halberstadter, Riya Chaturvedi, Melissa Rosahl, Giuliana Vallecorsa, Mijail Serruya, Deborah A. G. Drabick, Takehiko Yamaguchi, Tania Giovannetti

Department of Medicine Faculty Papers

BACKGROUND: Conventional methods of functional assessment include subjective self- or informant report, which may be biased by personal characteristics, cognitive abilities, and lack of standardization (eg, influence of idiosyncratic task demands). Traditional performance-based assessments offer some advantages over self- or informant reports but are time-consuming to administer and score.

OBJECTIVE: This study aims to evaluate the validity and reliability of the Virtual Kitchen Challenge-Version 2 (VKC-2), an objective, standardized, and highly efficient alternative to current functional assessments for older adults across the spectrum of cognitive aging, from preclinical to mild dementia.

METHODS: A total of 236 community-dwelling, diverse older adults …

Read My Lips: No New Constructs! Construct Proliferation As A Threat To The Future Of I-O Psychology, Nathan A. Bowling, Valerie I. Sessa, Jonathan A. Shaffer, George C. Banks

Department of Psychology Faculty Scholarship and Creative Works

Industrial and organizational (I-O) psychology recognizes dozens of different constructs, including several individual differences, environmental variables, job attitudes, and work-related behaviors. It is, of course, necessary to retain a variety of constructs in order to adequately capture the complexities, subtleties, and diversity of work-related phenomena. But do the many constructs recognized by I-O psychologists all serve a useful purpose? Or has our field been too eager to welcome redundant, unnecessary constructs into the fold? And if I-O psychology has embraced too many unnecessary constructs, then what—if anything—should we do about it? In the current focal article, we first discuss when …

Defective Dna Damage Response Is A Targetable Therapeutic Vulnerability In Esr1 Mutant Breast Cancer, Sarah K Herzog, Jessica H Stevens, Guowei Gu, Sandra L Grimm, Kloma Cardoza, Autumn G M Hawkins, Hangqing Lin, Daniela Ramos, Amanda R Beyer, David G Edwards, Derek Dustin, Harry J Yang, Nicole Liang, Ashfia F Khan, Tasneem Bawa-Khalfe, Daniel J Mcgrail, Shiaw-Yih Lin, Cristian Coarfa, Suzanne A W Fuqua

Faculty, Staff and Student Publications

ESR1 mutations are the leading cause of endocrine therapy resistance and progression in ER-positive metastatic breast cancer. ESR1 mutations are detected in ~50% of metastatic breast cancer patients, and identification of effective targeted therapeutics are critically needed. Here, we identified enrichment of dysregulated replication stress and DNA damage responses in multiple ESR1 mutant models. Targeting the replication stress response utilizing checkpoint inhibition in combination with PARP inhibition synergistically suppressed growth, induced cell cycle arrest, and attenuated DNA replication. PARP inhibition blocked metastatic dissemination in vivo and reduced both PARP1 and ER-regulated protein expression. PARP trapping by olaparib treatment with or …

Enhanced Confocal Microscopy With Physics-Guided Autoencoders Via Synthetic Noise Modeling, Shyam Pokharel

All Publications

We present a Physics-guided deep learning framework to address common limitations in Confocal Laser Scanning Microscopy (CLSM), including diffraction-limited resolution, noise, and under sampling due to low laser power conditions. The optical system’s point spread function and primary CLSM image degradation mechanisms, namely photon shot noise, dark current noise, motion blur, speckle noise, and under sampling are explicitly incorporated into the model as physics-based constraints. A convolutional autoencoder is trained with a custom loss function that integrates these optical degradation processes, ensuring that the reconstructed images adhere to physical image formation principles. The model is evaluated on simulated CLSM datasets …

Harnessing Microbial Tools: Escherichia Coli As A Vehicle For Neuropeptide Functional Analysis In Caenorhabditis Elegans, Elizabeth M Diloreto, Shruti Shastry, Emily J Leptich, Douglas K Reilly, Rachel N Arey, Jagan Srinivasan

Faculty, Staff and Students Publications

Animals respond to changes in their environment and internal states via neuromodulation. Neuropeptides modulate neural circuits with flexibility because 1 gene can produce either multiple copies of the same neuropeptide or different neuropeptides. However, with this architectural complexity, the function of discrete and active neuropeptides is muddled. Here, we design a genetic tool that facilitates functional analysis of individual peptides. We engineered Escherichia coli bacteria to express active peptides, fed loss-of-function Caenorhabditis elegans, and rescued the activity of genes with varying lengths and functions: pdf-1, flp-3, ins-6, and ins-22. Some peptides were functionally redundant, while others exhibit unique and previously …