Digital Commons Network^™

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.

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 …

Addressing Implementation Challenges In The Delivery Of An Epilepsy Self-Management Program In Community Settings, Martha Sajatovic, Jessica Black, Clara Adeniyi, Sakshi Priya, Nicole Fiorelli, Lesley Armah

Faculty Scholarship

Aims: This report describes implementation of the SMART epilepsy self-management (ESM) program in a community setting. Methods: SMART was implemented by 3 epilepsy-focused social services agencies. Pre/Post outcomes included past 30-day seizure frequency, the 9-item Patient Health Questionnaire (PHQ-9), the 10-item Quality of Life in Epilepsy (QOLIE-10) and the 7-item Generalized Anxiety Disorder (GAD-7) scale. Results: There have been 8 nurses (mean age 63.6, SD 9.1) and 14 peer educators trained (mean age 44.3, SD 15.8, having epilepsy a mean of 18.2, SD 11.1 years). Mean number of SMART sessions attended (out of a maximum of 8) was 5.7, SD …

Enshrining Library And University Values Through The Creation Of A Policy Committee, Brian Sullivan, Rebecca B. French

Faculty Scholarship

As interprofessional organizations operating within the context of higher education, academic libraries find themselves pulled between competing forces with regards to both policies and values. Departmental, unit, library, division, university, and professional interests all hold sway over a library's decision-making and its implementation of policies and procedures, making balancing these tensions a complex endeavor. When faced with a backlog of needed policy revisions and a campus-wide review by the Provost's office that resulted in additional policy update requests, the authors formed a policy committee within their library's faculty governance body. This chapter details how we kept organizational values in mind …

Sparsity-Promoting Hierarchical Bayesian Model For Eit With A Blocky Target, D. Calvetti, E. Somersalo

Faculty Scholarship

The electrical impedance tomography (EIT) problem of estimating the unknown conductivity distribution inside a domain from boundary current or voltage measurements requires the solution of a nonlinear inverse problem. Sparsity promoting hierarchical Bayesian models have been shown to be very effective in the recovery of almost piecewise constant solutions in linear inverse problems. We demonstrate that by exploiting linear algebraic considerations it is possible to organize the calculation for the Bayesian solution of the nonlinear EIT inverse problem via finite element methods with sparsity promoting priors in a computationally efficient manner. The proposed approach uses the Iterative Alternating Sequential (IAS) …

The Role Of Employee Relationship Orientation In The Value Co-Creation – Firm Performance Link, Perry L. Parke, Prachi Gala, Pramod Iyer, Stefan Sleep, Mona Sinha

Faculty Scholarship

Purpose – This paper links employees’ relationship orientation, or their sense that the organization respects their contribution, to value co-creation and overall firm performance. It also measures the effects on innovation and knowledge sharing.

Design/methodology/approach – A total of 301 US product and marketing managers participated in a survey. Measurement and structural models were evaluated using partial least squares structural equation modeling.

Findings – Main findings suggest that increased value co-creation (VCC) activity has a significant effect on employee relationship orientation. This study also finds that employee relationship orientation plays a mediating role in the relationship between VCC and firm …

Neuronal Mct2 Promotes Angiogenesis Via Lactate In The Developing Mouse Neocortex, Daehoon Lee, Anika Wu, Lingling Yao, Shreya Satish, Lin Mei, Wen Cheng Xiong

Faculty Scholarship

Neural activity drives blood vessel (BV) formation and energy substrate delivery in the developing brain to meet rising metabolic demands; however, the underlying mechanisms remain poorly understood. In this study, we exposed neonatal mice to chronic whisker stimulation (WS), a paradigm known to enhance BV formation in the somatosensory (S1) cortex. Transcriptomic (RNA-seq) and spatial (RNA-scope) analyses revealed that WS upregulated monocarboxylate transporter 2 (MCT2) in cortical neurons and MCT1 in endothelial cells (ECs). These changes coincided with increased cortical lactate levels, elevated astrocytic vascular endothelial growth factor A (VEGFa), and enhanced angiogenesis. Functional experiments demonstrated that neuronal MCT2 is …

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 …

Florent Schmitt's Dionysiaques, Op. 62, Trevor Frost

Faculty Scholarship

This article by Trevor Frost explores Dionysiaques, Op. 62, a groundbreaking work for wind band by French composer Florent Schmitt, situating it within its historical, cultural, and musical contexts. Written in 1913 for the elite Musique de la Garde Républicaine, Dionysiaques stands out as a rare example of original symphonic band repertoire during a time when military bands primarily played marches and transcriptions. Schmitt’s composition blends French impressionism with rhythmic intensity, drawing on the influence of composers like Debussy, Ravel, and his teacher Gabriel Fauré, while also aligning with the forward-looking aesthetics of Stravinsky and early neoclassicism.

Frost discusses …

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 …

Performance Leads Governance: A Comment On Professor Tallarita’S Dual-Class Analysis, David J. Berger, Pierluigi Matera

Faculty Scholarship

The rise of dual-class stock structures in corporate governance has sparked intense academic, legal, and regulatory debate. In his recent contribution, Dual-Class Contracting, Professor Tallarita persuasively challenges some contemporary interpretations of contractarian theories by showing that dual-class structures do not reflect bespoke bargaining or firm-specific negotiation, but rather result from lawyer-driven standardization, social norms, and path dependency.

Drawing on Tallarita’s empirical findings, we argue that the reality of dual-class structures extends beyond governance formality. Specifically, we contend that investor behavior is driven not by structural governance ideals, but by corporate performance and mission alignment. Companies increasingly design governance structures based …

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 …

Out From The Shadows: Party Documents In Chinese Courts, Benjamin L. Liebman, Eva Gao, Xiaohan Wu, Rachel E. Stern, Margaret Roberts

Faculty Scholarship

The Communist Party’s influence over the Chinese legal system is generally assumed to be behind the scenes, largely invisible to outside observers. Since General Secretary Xi Jinping came to power in 2012, there has been renewed attention within and outside of China to the relationship between the Communist Party and the legal system. Much of this recent writing has emphasized the degree to which Xi’s efforts to affirm Party superiority and break down barriers between the Party and the State reflects a profound shift in governance and a reversal of a decades-long effort to distinguish between Party roles and those …

The Trump Administration Reverses U.S. Position On Unrwa Immunities, Lori Fisler Damrosch

Faculty Scholarship

On April 24, 2025, the U.S. Department of Justice submitted a letter in a civil lawsuit that maintains for the first time that the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) is not immune from U.S. civil litigation. The letter reverses the position taken by the previous administration in the same lawsuitFootnote 2 and alters nearly eight decades of U.S. practice concerning the immunities of UN entities that are considered subsidiary organs of UN principal organs and thus part of the United Nations itself. Heretofore, the government stated that such organs are entitled …

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 …

Judicial Enforcement Of Evidence Law, G. Alexander Nunn

Faculty Scholarship

The truth matters. At least it should. In the courtroom, truth can serve as the cornerstone of justice, liberating the innocent, vindicating victims, and holding the guilty to account. Indeed, truth is such a normative imperative that an entire legal discipline now focuses on fostering its discovery at trial—evidence law. By regulating both the reliability of proof and the rationality of cognitive inferences, evidence law seeks to help factfinders discern truth and reach an accurate verdict. And given the importance of that role, one might naturally assume that the strict enforcement of evidence law would be a legal mandate of …

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 …

Redefining Law In China, Zeming Liu, Benjamin L. Liebman

Faculty Scholarship

Although there is a growing body of literature on the role of law under authoritarian regimes, scholars have paid little attention to authoritarian legal ideology or conceptions of legality in contemporary authoritarian states. This Article presents the first in-depth study of the Chinese Communist Party’s recent novel attempt to introduce and implement an official legal ideology under the banner of “Xi Jinping’s Thought on the Rule of Law,” one which aims both to create a definitive theory of law and to offer a guide to China’s legal development. We examine four principal components of this legal ideology: the theoretical definition …

Drive-By Mediation And Other Opportunistic Distortions Of Process, Nancy A. Welsh

Faculty Scholarship

Many states in the United States, along with many nations, have implemented special benefits and privileges to encourage parties’ use of mediation to assist their communication, negotiation, and ultimate resolution of disputes. This is despite how loosely mediation is defined. This Article discusses how vague definitions, paired with special benefits and privileges, are incentivizing both the opportunistic distortion of mediation and the use of mediation for improper purposes. In Texas, for example, judges are extraordinarily limited in their ability to disapprove parents’ mediated child custody agreements—even if there is reason to worry that an agreement is contrary to the best …

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 …

De Minimis Copying: An Empirical Study, Jessica Silbey, Samantha Zyontz

Faculty Scholarship

In the internet age, the copyright de minimis defense has increased in relevance as copyright lawsuits (and IP generally) are more mainstream and infringement liability more widespread. This Article is the first empirical analysis of copyright de minimis defense cases, collecting and analyzing all such decisions since the mid-19th century. It traces the doctrine’s development over the past century and its evolution in the digital era, when copying has become even more ubiquitous but its triviality remains widely disputed. The Article’s aim is not only to map the de minimis defense to learn more about it doctrinally—asking when is copying …

Reasoning From Injustice, Robert L. Tsai

Faculty Scholarship

In a series of lectures at Yale Law School, the Harvard political theorist Judith Shklar critiqued leading models of justice as overly abstract and lacking a realistic account of the social dynamics that perpetuate injustice. In this essay, Professor Tsai builds on Shklar’s account of injustice as a social phenomenon by offering a structural reading of key literary texts that explore the nature of legal injustice—from the Book of Job to Harriett Beecher Stowe’s Uncle Tom’s Cabin and Frederick Douglass’s The Heroic Slave. A close reading of these texts permits us to flesh out Shklar’s observations and “give injustice …

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 …

Peripheral Calcifying Odontogenic Cyst In Maxillary Anterior Gingiva: A Case Report, Dimitris N. Tatakis

Faculty Scholarship

BACKGROUND: Calcifying odontogenic cysts (Gorlin cysts) most commonly present centrally and have only rarely been reported in peripheral locations. The purpose of this report is to describe a new case of peripheral calcifying odontogenic cyst (PCOC) occurring in the anterior maxillary gingiva and to review the management and differential diagnosis of such a lesion. METHODS: A 37-year-old female presented with a long-standing submucosal nodule on the gingiva between the maxillary central incisors, with asymptomatic growth over the last three years. Following an initial incisional biopsy, a diagnosis of PCOC was established. To exclude the possibility of a central process, a …

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 …

Anticonvulsant Use In Older Age Bipolar Disorder In A Global Sample From The Global Aging And Geriatric Experiments In Bipolar Disorder Project Utilisation D’Anticonvulsivants Pour Le Traitement Des Troubles Bipolaires Du Sujet Âgé Auprès D’Un Échantillon Mondial Provenant Du Projet Gage-Bd, Kaylee Sarna, Nicole Fiorelli, Joy Yala, Martha Sajatovic

Faculty Scholarship

Background: Anticonvulsants are an essential treatment for bipolar disorder; however, there is relatively little known about their use in older age bipolar disorder (OABD). In this paper, which leverages a large international dataset, we aim to 1) describe the use of anticonvulsants in OABD compared to younger age bipolar disorder (YABD; ages <50 years old) and 2) explore any demographic/clinical correlates. Methods: A secondary analysis was conducted on the international data from the Global Aging and Geriatric Experiments in Bipolar Disorder project. The main objective was to report the prevalence of anticonvulsant use in OABD over 50 years old (mean age = 62.27) and the most prescribed anticonvulsant. Additional analysis explored any demographic and clinical correlates associated with anticonvulsant use. Generalized linear mixed models were used for this analysis. Results: Of the 2,691 participants with bipolar disorder who had anticonvulsant prescribing data, 34.4% (n = 926) used anticonvulsants at the time of study. Rates of anticonvulsant prescribing did not significantly differ between OABD and YABD groups (36.7% (n = 666) vs. 29.7% (n = 260)). Anticonvulsant prescribing patterns for OABD and YABD did not significantly differ, with valproate as the most prescribed anticonvulsant. OABD anticonvulsant users had less lithium use, more antidepressant use, more rapid cycling, more mood episodes and more cardiovascular comorbidities compared to nonusers. Conclusion: Anticonvulsant use was similar in OABD and YABD. A number of important clinical correlates of anticonvulsant use were identified.

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) …