Digital Commons Network^™

Providing Spatial Support During A Major Cholera Outbreak In Port-Au-Prince, Haiti: Creative Mapping Solutions In A Challenging Data Poor Environment, Andrew Curtis, Jayakrishnan Ajayakumar

Faculty Scholarship

In this paper we describe the spatial data challenges faced in terms of providing accurate and timely analysis for a clinic during a cholera epidemic that spread through Port au Prince, Haiti in late 2022. This “triage” spatial epidemiology involved developing a bespoke geocoder that allowed for weekly maps of spread to be created in near real time. Resulting case data were also analyzed using a novel grid heatmapping approach which considers the epidemiological curve for each neighborhood. Adding further complexity during this period to both the data generation, and explaining cholera amplification and spread patterns, was a rising gang …

Composition Pedagogy As Ai‑Native Coding: From Design Kit To Scholarly Framework, Daniel Plate, James Hutson

Faculty Scholarship

This article advances a field-ready framework that reconceives first-year composition as AI-native coding, translating a complete “design kit” into scholarly method, evaluative protocol, and curriculum architecture. Background: Contemporary composition pedagogy emphasizes process, genre awareness, and collaborative revision; meanwhile, modern software practice operationalizes iteration through version control, test-driven development, and continuous integration. The uploaded kit demonstrates that these cultures are isomorphic: writing stages align with SDLC phases, and automated pipelines can lint prose, execute argument “tests,” and publish artifacts with auditable histories. Approach: The study systematizes that kit into (1) a conceptual map that recasts authorship as orchestration and verification, (2) …

Molecular Motion–Structure–Property Correlation In A Polymorphic Aiegen With Mechanochromic And Piezoelectric Functions, Changyong (Chase) Cao

Faculty Scholarship

Establishing direct correlations between molecular motion, crystal structure, and macroscopic properties is essential for designing responsive functional materials. Herein, we report a malononitrile-based aggregation-induced emission luminogen (AIEgen), TPA-CN, that crystallizes into multiple polymorphs exhibiting distinct optoelectronic behaviors. In dilute solution, TPA-CN exhibits excitation-dependent emission spanning from sky blue to red under irradiation from 375 to 425 nm, arising from conformational flexibility and multiple excited-state transitions. In the solid state, subtle differences in crystal packing—governed by torsional angles and intermolecular interactions that modulate dipole moments—lead to pronounced variations in luminescence color and piezoelectric response. Mechanical grinding induces mechanochromic emission shifts without …

From Prohibition To Preparation: Reframing Academic Integrity In The Age Of Ai, James Hutson

Faculty Scholarship

This study analyzes how U.S. universities reconfigure academic integrity during the 2024–2025 cycle in response to widespread generative AI adoption. The analysis foregrounds three loci: student ignorance and metacognitive blind spots; the expanded remit of Academic Integrity Officers prioritizing education over punishment; and deliberate AI-enabled misconduct that exposes the evidentiary limits of detection technologies. A mixed-methods design integrates a multi-site review at Arizona State University, Montclair State University, and Cornell University with synthesis of surveys, policies, and faculty development guidance. Findings show that detector outputs function as conversational prompts rather than adjudicative proof, necessitating dialogic resolution standards, process evidence, and …

Trump’S Multi-Pronged Attack On Renewable Energy, Michael B. Gerrard

Faculty Scholarship

Federal policy on renewable energy took a 180-degree turn on the day of Donald Trump’s second inauguration. The Biden administration had rightly seen a massive expansion of clean energy, especially wind and solar and the associated storage and transmission, as key to moving away from fossil fuels and fighting climate change. But Mr. Trump denies that climate change is a serious problem and works to increase both the supply of and the demand for fossil fuels.

This article discusses the range of actions involved in the Trump administration’s attack on renewable energy.

Leaving Delaware? The Essential Role Of Specialized Corporate Courts, Zohar Goshen, Tomer S. Stein

Faculty Scholarship

Following the Delaware Court of Chancery’s invalidation of Elon Musk’s fifty-six- billion-dollar compensation package, Tesla moved its incorporation from Delaware to Texas. Shortly thereafter, Delaware’s legislature, seeking to protect Delaware’s dominant incorporation position, passed the most sweeping corporate law amendments in fifty years.

Both supporters of Musk and defenders of Delaware’s judiciary have accused each other of partisanship, but neither side has addressed the central question: What is the role of specialized corporate courts?

This Essay presents a novel theory of why such courts are necessary. Corporate disputes are distinct because they arise within ongoing relationships between shareholders and management, …

Ai Companions And The Lessons Of Family Law, Clare Huntington

Faculty Scholarship

Virtual friends and lovers powered by artificial intelligence are rapidly moving to the center of our emotional and social lives. Millions of people turn to AI companions every day for conversation, romance, sexual intimacy, therapy, and education. AI companionship holds promise, potentially reducing loneliness, supporting people without access to mental health treatment, helping students learn, and offering a judgment-free space for sensitive conversations. But AI companionship also raises significant concerns. The technology's addictiveness may exacerbate loneliness and can undermine human relationships. Therapy bots may prove more harmful than helpful. AI companions can be emotionally abusive. And their access to the …

Ai In Adipose Imaging: Revolutionizing Visceral Adipose Tissue, Ectopic Fat, And Cardiovascular Risk Assessment, Sneha R. Kandi, Sanjay Rajagopalan, Ian J. Neeland

Faculty Scholarship

Purpose of Review: This review explores the role of artificial intelligence (AI) in visceral adipose tissue (VAT) and ectopic fat imaging. It aims to evaluate how AI may be used to enhance the efficiency and accuracy of cardiovascular disease (CVD) risk assessment. It addresses key questions regarding AI’s capabilities in risk prediction, segmentation, and integration with large volume data for CVD risk assessment. Recent Findings: Recent studies demonstrate that AI, powered by deep learning models, significantly improve VAT and ectopic fat segmentation. AI can also be used to facilitate early detection of cardiometabolic risks and allows integration of imaging with …

Evaluating Anti-Sickling Therapies For Sickle Cell Disease: A Microfluidic Assay For Red Blood Cell-Mediated Microvascular Occlusion Under Hypoxia, Zoe Sekyonda, Yuxuan Du, Solomon Oshabaheebwa, Payam Fadaei, Yusang B. Ley, Calvin Abonga, Michael A. Suster, Pedram Mohseni, Umut A. Gurkan

Faculty Scholarship

Sickle cell disease (SCD) is characterized by the polymerization of hemoglobin S (HbS) upon deoxygenation, leading to the formation of sickled red blood cells (RBCs) with reduced deformability. Under hypoxic conditions, the impaired RBC behavior significantly contributes to vaso-occlusive events, hemolysis, and end-organ damage. Consequently, RBC deformability serves as a pivotal hemorheological biomarker for evaluating disease severity and therapeutic response. The OcclusionChip, a microfluidic assay, measures RBCs deformability through microcapillary occlusion. However, its current hypoxic assay relies on a complex nitrogen gas setup, rendering it bulky, expensive, and unsuitable for point-of-care diagnostic use. Here, we optimized a chemically induced hypoxia …

Knowledge-Driven Interpretative Conditional Diffusion Model For Contrast-Free Myocardial Infarction Enhancement Synthesis, Shuo Li

Faculty Scholarship

Synthesis of myocardial infarction enhancement (MIE) images without contrast agents (CAs) has shown great potential to advance myocardial infarction (MI) diagnosis and treatment. It provides results comparable to late gadolinium enhancement (LGE) images, thereby reducing the risks associated with CAs and streamlining clinical workflows. The existing knowledge-and-data-driven approach has made progress in addressing the complex challenges of synthesizing MIE images (i.e., invisible myocardial scars and high inter-individual variability) but still has limitations in the interpretability of kinematic inference, morphological knowledge integration, and kinematic-morphological fusion, thereby reducing the transparency and reliability of the model and causing information loss during synthesis. In …

Radiation Shielding Performance And Molecular Stability Of Ultra-High Molecular Weight Polyethylene (Uhmwpe) Fiber-Reinforced Hydrogen-Rich Polybenzoxazine Composites Following Space Environment Exposure On The International Space Station, Pablo Froimowicz, Hatsuo Ishida

Faculty Scholarship

This study investigates the performance and molecular stability of ultra-high molecular weight polyethylene (UHMWPE) fiber-reinforced hydrogen-rich polybenzoxazine composites exposed to the space environment on the International Space Station (ISS). The composite is designed specifically for spacecraft applications requiring lightweight radiation shielding against galactic cosmic rays and solar particle events. Fourier transform infrared (FT-IR) spectroscopy, X-ray photoelectron spectroscopy (XPS), dynamic mechanical analysis (DMA), and short beam shear testing were used to evaluate both surface degradation and bulk property retention. Chemical degradation due to direct sunlight exposure is limited to the uppermost 30 nm of the composite surface, with formation of hydroxyl …

The Pastor As Romantic Author: Ai, Preaching, And The Unacknowledged Inheritance Of Authenticity, Daniel Plate, James Hutson

Faculty Scholarship

This article interrogates contemporary reactions to sermons produced with generative technologies through a historical–conceptual lens, arguing that widespread judgments of such outputs as “soulless,” “generic,” or lacking a “beating heart” are best explained by an unacknowledged inheritance from nineteenth-century Romantic expressivism. Rather than treating resistance to machine authorship as a theological verdict on computational incapacity, the study reconstructs how Romanticism centered authorship in sincere self-expression and solitary genius, displacing earlier heraldic expectations that prized fidelity to a received message. Methodologically, the analysis combines intellectual history with discourse analysis of global Christian experiments in synthetic composition (2020–2025), denominational guidance, and media …

When Evidence Modeling Meets Knowledge Distillation: Towards Reliable Contrast-Enhanced Knowledge Distillation For Non-Contrast Medical Image Segmentation, Shuo Li

Faculty Scholarship

Contrast-enhanced knowledge distillation promises to transform medical diagnostics and reveal promising approaches for tumor segmentation on non-contrast medical images. However, existing methods related to contrast-enhanced knowledge distillation still make it hard to distill reliable contrast-enhanced knowledge for tumor segmentation due to the limitations of (1) unable to quantify uncertainty information for reliable contrast-enhanced and non-contrast knowledge modeling, which leads to an over-confidence cross-domain adaptation for transferring contrast-enhanced knowledge; (2) using vision information only ignores rich semantic features in medical language, which make it hard to model complex tumor enhancement feature. In this study, we propose an evidence-guided and tumor-aware knowledge …

Criminal Court's Disability, Zohra Ahmed

Faculty Scholarship

Do criminal courts meaningfully accommodate psychiatric disability? A review of competency proceedings across the United States suggests not. In competency to stand trial proceedings, criminal court actors offer a narrow vision of psychiatric disability that excludes many defendants. Ultimately, the institutional context of criminal court undermines even the meagre accommodations that the competency framework provides.

Competency proceedings are the constitutional accommodations available to disabled defendants if they can establish that they are unable to consult with their lawyers or if they do not have a rational or factual understanding of the proceedings against them. After a finding of incompetency, the …

Measuring And Mitigating Drip Pricing Overcharge: Evidence From An Online Marketplace Experiment With A Digital Shopping Assistant, Benjamin Lu, Daniel Markovits, Andrew Miller, Rory Van Loo

Faculty Scholarship

We study how much drip pricing (hidden mandatory fees revealed after consumers have begun the buying process) raises prices paid for identical goods and whether an automated shopping assistant mitigates the effect. In a randomized online marketplace experiment (n = 1608) with real purchases of gift cards funded by a $15 endowment, we vary the initial and final presentation of the gift cards’ prices across 33 levels and randomly assign participants to an automated assistant that flags a lower-price identical option and links to it. Relative to transparent pricing, drip pricing increases the average price paid by up to a …

The Sports Parent's Predicament, Katharine B. Silbaugh

Faculty Scholarship

Youth sport enjoys a favored status in American culture, encouraged by policymakers and local communities, pursued by parents, and remembered through rose-colored lenses by adults. Most lawyers are familiar with Justice Harry Blackmun’s ode to the magical qualities of baseball in Flood v. Kuhn, in which he took the liberty of running through his own memories of scores of baseball legends.¹ Congress and presidents want children to continue in sport.² Many in the health field argue that sport is important because exercise is important, and sport is treated as the natural manifestation of exercise.³ An enormous number—perhaps …

The Sec Proposed Cybersecurity Infrastructure Rules And New Disclosure Requirements, Neal F. Newman, Lawrence J. Trautman, Brian Elzweig

Faculty Scholarship

In addition to regulation of securities market issuers, the Securities & Exchange Commission (SEC) is also responsible for regulation of those entities that provide the networks, either electronic or physical, that enable the functioning of our securities markets. On February 9, 2022, the Commission published a Release for Cybersecurity Risk Management for Investment Advisers, Registered Investment Companies, and Business Development Companies containing proposals that, if adopted, would establish a new cybersecurity incident reporting and disclosure regime and require registered investment advisers (“advisers”) and investment companies (“funds”) to implement policies and procedures designed to address cyber risks. The comment period for …

Traditional And Computational Canons, Eric H. Martinez

Faculty Scholarship

As part of the rise of modern textualism, dictionaries and linguistic canons have become a ubiquitous part of legal interpretation. One longstanding question is whether judges citing these tools sincerely attempt to follow the meaning of a text, or if their invocation is merely window-dressing for a preferred outcome. The practical significance of this question extends across all major doctrinal areas, and with the Supreme Court’s overturning of Chevron deference, its importance is only to grow, as courts are now instructed to use every tool at their disposal to resolve ambiguity when interpreting a law. This Article is the first …

Will Systematic Stewardship Save The Planet?, Zohar Goshen, Assaf Hamdani

Faculty Scholarship

The largest institutional investors have solidified their status as “universal owners,” holding almost eighty percent of the U.S. stock market. The growing influence of these investors over the companies they invest in has sparked optimism among scholars and activists that asset managers will use their clout to steer firms towards Environmental, Social, and Governance (ESG) objectives. But such optimism may be misplaced. Focusing on carbon emission reduction, we argue that universal owners lack the necessary incentives and competence to pressure corporations to lower emissions.

Universal owners market ESG investments with conflicting promises of “doing well while doing good.” The untenable …

Mcmc-Net: Accelerating Markov Chain Monte Carlo With Neural Networks For Inverse Problems, Anuj Abhishek

Faculty Scholarship

In many computational problems, using the Markov Chain Monte Carlo (MCMC) can be prohibitively time-consuming. We propose MCMC-Net, a simple yet efficient way to accelerate MCMC via neural networks. The key idea of our approach is to substitute the true likelihood function of the MCMC method with a neural operator based surrogate. We extensively evaluate the accuracy and speedup of our method on three different partial differential equation-based inverse problems where likelihood computations are computationally expensive, namely electrical impedance tomography, diffuse optical tomography, and quantitative photoacoustic tomography. MCMC-Net performs similar to the classical likelihood counterpart but with a significant speedup. …

Near Real-Time Monitoring Reveals Extensive Recent Forest Disturbance In Ghana’S Protected Areas, Luofan Dong, Xiaojing Tang, Foster Mensah, Bashara Ahmed Abubakari, Kelsee H. Bratley, Pontus Olofsson, Curtis E. Woodcock

Faculty Scholarship

The Protected Areas (PAs) in Ghana play a critical role in preserving the abundant biodiversity of the West Africa Green Belt. But recent changes in policies and regulations have facilitated logging and mining activities, which have accelerated forest disturbances. While there is a consensus that PAs are undergoing destructive change, the extent, rate, and locations of forest disturbances are undocumented. In this study, we applied the fusion near real-time (FNRT) algorithm that utilizes Landsat, Sentinel-1, and Sentinel-2 data and sampling to monitor forests in the PAs of Ghana. The results reveal that 704.74 (±177.24) km2 of forest in the PAs …

Llm-Gaode: Large-Language-Model Augmented Neural Ordinary Differential Equation Network For Video Nystagmography Classification, Shuo Li

Faculty Scholarship

Benign paroxysmal positional vertigo (BPPV), a common type of vertigo with complex etiologies, is traditionally diagnosed using video nystagmography (VNG). Current automated methods lack diagnostic precision owing to subjective interpretation of eye movement characteristics. To address these challenges, we introduce a large language model-augmented Gram-based attentive neural ordinary differential equation (LLM-GAODE), an innovative and data-driven framework integrating eye-tracking technology with a Gram-based attention mechanism and a neural ordinary differential equation network to improve BPPV classification. Furthermore, when the neural network exhibits low confidence in its predictions, an LLM can supplement the process with advanced reasoning in natural language. LLM-GAODE was …

Enhanced Prediction Of Condensation Pressure Drop In Mini And Microchannels Using Physics-Assisted Machine Learning, Farshad Barghi Golezani, Jiayuan Li, Forouzan Naderi, Alexander Meylikhov, Logan M. Pirnstill, Issam Mudawar, Chirag R. Kharangate

Faculty Scholarship

Reliable prediction of frictional pressure drop during condensation in mini‑ and microchannels underpins both thermal management effectiveness and overall heat transfer performance in compact two‑phase heat exchangers, cold‑plates, and on‑chip cooling loops. Excess pressure loss burdens pumps, raises electrical consumption, and can destabilize flow, whereas under‑prediction risks temperature overshoot and premature dryout. Conventional empirical correlations and flexible machine-learning models can lose accuracy once channel size, working fluid, or operating conditions stray beyond their testing range. This study uses a physics‑assisted machine‑learning framework that overlays an XGBoost residual learner on the Kim–Mudawar separated‑flow correlation to achieve high fidelity and robustness in …

Differential Effects Of Macrophage Subtype-Specific Cytokines On Fibroblast Proliferation And Endothelial Cell Function In Co-Culture System, Phillip Mcclellan, Thomas R. Wong, Sara Hijaz, David R. Fletcher, Ozan Akkus, Tracey L. Bonfield, James M. Anderson, Adonis Hijaz

Faculty Scholarship

Macrophages are involved in several critical activities associated with tissue repair and regeneration. Current approaches in regenerative medicine are focusing on leveraging the innate immune response to accelerate tissue regeneration and improve long-term healing outcomes. Of particular interest in this regard are the currently known, four main M2 macrophage subtypes: M2interleukin (IL)-4,IL-13, M2IC, M2IL-10, M2non-selective adenosine receptor agonists (NECA) (M2IL-4,IL-13 → M2(NECA). In this study, rat bone marrow-derived macrophages (M₀) were polarized to each of the four subtypes M2IL-4,IL-13 → M2NECA and cultured for 72 h in vitro. Luminex assay results highlighted increased production of tissue inhibitor of metalloproteinases-1 (TIMP-1) …

Reconceptualizing Metadata Management As A Design Discipline, Rebecca B. French

Faculty Scholarship

Libraries are increasingly exploring design approaches, but their utility has been overlooked in the area of metadata management. This article argues that metadata management should be considered a design discipline. Key elements of design epistemology and their relevance to cataloging and metadata work are explored through a case study of developing a workflow to update OCLC numbers in a library catalog. Conceptualizing metadata management through the lens of design provides a new view of the field that expands possibilities for education, advocacy, research, and practice.

Experimental Study Of Local Heat Transfer During Downward Flow Condensation In Vertical Tube-In-Tube Annulus Channel, Jiayuan Li, Jayachandran K. Narayanan, Huigang Wang, Finnegan O'Leary, Xiaoyang Gao, Chirag R. Kharangate

Faculty Scholarship

Flow condensation is an important configuration in thermal management due to its efficiency in heat dissipation offered by both convective and phase-change heat transfers. Prior studies on flow condensation in literature focus on condensate flowing inside a tube, featuring the in-tube heat exchanger configuration. However, many common heat exchangers used across applications such as the shell-and-tube type see the condensate flowing on the outside the tube, featuring the outer-tube heat exchanger configuration. In this study, we experimentally investigate the local heat transfer behavior of the outer-tube downward flow condensation in a vertical tube-in-tube condensation module. The test module features a …

Psma-1-Dota Potentially For Effective Targeted Radioligand Therapy Of Prostate Cancer, Xinning Wang, Olga Sergeeva, Maxim Sergeev, Lifang Zhang, Zoey Lockwood, Zhenghong Lee, James P. Basilion

Faculty Scholarship

Purpose: While PSMA-targeted radioligand therapy (RLT) has shown remarkable efficacy for treating end-stage prostate cancer, the α-emitting RLT often results in severe salivary gland toxicity, limiting its use. Various strategies to mitigate this side effect have been attempted with limited success. Accordingly, this study introduced a new PSMA-targeting ligand with more favorable binding characteristics than the existing ligands. Procedures: The binding affinity of PSMA-1-DOTA to PSMA was compared with that of PSMA-11 and PSMA I&T. Comparison of uptake in the salivary glands, kidneys and PC3pip tumor cells in the xenograft mouse models between [⁶⁸Ga]Ga-PSMA-1-DOTA, [⁶⁸Ga]Ga-PSMA-11 and [⁶⁸Ga]Ga-PSMA I&T was conducted …

Academic Research And (Google Or Reddit): A Librarian-Faculty Collaboration To Improve Student Source Engagement, Stephanie Redekop, Olivia Hobbs

Faculty Scholarship

Effective source use is a critical skill for first-year writing students because it prepares them for academic, professional, and civic engagement; however, existing research demonstrates that selecting appropriate sources and engaging them insightfully remains a significant challenge. While students struggle with the combined pressures to read, evaluate, and synthesize scholarly sources, we argue that online media including news articles, opinion pieces, and social media posts are a potent but underutilized resource for building students’ competence and confidence with source use. In this article, we present the methods that we have collaboratively developed as an instruction librarian and a first-year writing …

Designing For Complementarity: Skills, Work, And Education In The Age Of Ai — A Review, James Hutson

Faculty Scholarship

This review synthesizes 2023–2025 evidence on how generative AI and automation are reconfiguring role structures, skill demands, and entry pathways, and proposes design principles that shift attention from task substitution to role redesign and talent architecture. Theoretical framework: Drawing on task-based labor economics, socio-technical systems design, and humancapital complementarity, the review distinguishes domains where substitution pressures concentrate from those where augmentation dominates. Method: A narrative review of peerreviewed studies, official statistics, and policy/industry reports prioritized empirically grounded findings on employment effects, skills, governance, and program outcomes; inclusion emphasized methodological transparency and recency. Results and discussion: Convergent evidence shows contraction in …

The God Prompt And Deus Ex Machina: Techno-Theological Tropes And Operational Metaphors In Generative Media, James Hutson

Faculty Scholarship

This study reframes two durable tropes—the ―God Prompt‖ and the deus ex machina—as analytic lenses for understanding how contemporary generative systems stage beginnings and endings of cultural production. The ―God Prompt‖ denotes command-driven synthesis in which minimal textual instructions instantiate content on demand, crystallizing a production loop of input, model execution, and post hoc evaluation that orients anticipation toward instantaneous yield and controllable variation. The deus ex machina names an externally imposed resolution that interrupts causal development—historically a crane-borne god, functionally an algorithmic override—thereby concentrating attention on closure mechanics rather than world-building continuity. Read together, the pair offers a compact …