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Articles 181 - 210 of 8505
Full-Text Articles in Entire DC Network
From Prohibition To Preparation: Reframing Academic Integrity In The Age Of Ai, James Hutson
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 …
Plan-B Activist Defense: Defending Animal-Rights Activists In Courtrooms Hostile To Political Argumentation, Hadar Aviram
Plan-B Activist Defense: Defending Animal-Rights Activists In Courtrooms Hostile To Political Argumentation, Hadar Aviram
Faculty Scholarship
In recent years, several animal rights activists faced criminal charges for rescuing animals from factory farms. The standard legal approach in these cases has been relying on the necessity defense, which has a long history in cases of civil disobedience and ideologically driven crime. Animal law scholarship on this topic tends to focus on explaining why the defense applies to open rescue. However, as recent trials have demonstrated, actual courtrooms in rural counties tend to be hostile to the necessity defense, and judges can and do rely on Supreme Court precedent to keep it out of the courtroom.
This Article's …
Bridging The Expectations Gaap In Financial Reporting, Neal F. Newman
Bridging The Expectations Gaap In Financial Reporting, Neal F. Newman
Faculty Scholarship
The true nature of auditing publicly traded companies’ financial statements has been somewhat of an enigma to the general public. Due to this mystery, an “expectations gap” has formed between the public expectations of auditors’ roles and what the auditor actually does in their analysis of financial statements. Auditors are an extremely important piece of the financial reporting puzzle because they determine whether or not a company’s financial statements are a fair and accurate reflection of the company’s financial position, a determination that can be a major influence on how the financial strength of a company is perceived. Newman’s Article …
Beyond Mass Deportation, Nancy Plankey-Videla, Huyen Pham, Angela D. Morrison, Luz E. Herrera
Beyond Mass Deportation, Nancy Plankey-Videla, Huyen Pham, Angela D. Morrison, Luz E. Herrera
Faculty Scholarship
Donald Trump’s threats to carry out the mass deportation of unauthorized immigrants helped propel him to a second term as President of the United States. For the estimated 11 million people in the U.S. without lawful status, those threats have increased fears of forced returns to their countries of origin. While American immigration law is heavily focused on the legal processes leading to deportation, little attention has been paid to the post-deportation experiences of individuals who must reintegrate into their home countries. This gap in understanding is especially alarming given the high stakes of reintegration. A successful transition can empower …
Local Group Galaxies From An External Perspective, Stacy S. Mcgaugh
Local Group Galaxies From An External Perspective, Stacy S. Mcgaugh
Faculty Scholarship
I discuss Local Group galaxies from the perspective of external galaxies that define benchmark scaling relations. Making use of this information leads to a model for the Milky Way that includes bumps and wiggles due to spiral arms. This model reconciles the terminal velocities observed in the interstellar medium with the rotation curve derived from stars, correctly predicts the gradual decline of the outer rotation curve, and extrapolates well out to 50 kpc. Rotationally supported Local Group galaxies are in excellent agreement with the baryonic Tully-Fisher relation. Pressure supported dwarfs that are the most likely to be in dynamical equilibrium …
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
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 …
Sparsity-Promoting Hierarchical Bayesian Model For Eit With A Blocky Target, D. Calvetti, E. Somersalo
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) …
Ai In Adipose Imaging: Revolutionizing Visceral Adipose Tissue, Ectopic Fat, And Cardiovascular Risk Assessment, Sneha R. Kandi, Sanjay Rajagopalan, Ian J. Neeland
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 …
The Use Of Long-Acting Injectables For People With Schizophrenia: Consensus Panel Recommendations For Overcoming Barriers And Implementing Treatment, Martha Sajatovic
The Use Of Long-Acting Injectables For People With Schizophrenia: Consensus Panel Recommendations For Overcoming Barriers And Implementing Treatment, Martha Sajatovic
Faculty Scholarship
Introduction: Antipsychotic medications are effective for people living with schizophrenia, but long-term treatment adherence remains challenging, leading to relapses and poor outcomes. Long-acting injectable antipsychotics (LAIs) may improve adherence and reduce relapses compared with oral antipsychotics. Barriers to the use of LAIs exist, yet practical recommendations to overcome them are lacking. Therefore, an expert consensus panel was formed to develop key recommendations using a modified Delphi panel method. Methods: The panel chair and Interactive Forums, Inc., conducted a narrative literature review of English-language articles published in the 10 years before 02/02/2024. Panelists rated, discussed, and re-rated proposed statements during 2 …
Replacement Reply Brief For Plaintiff-Appellant Mona Salcida Murillo, Madeline H. Meth
Replacement Reply Brief For Plaintiff-Appellant Mona Salcida Murillo, Madeline H. Meth
Faculty Scholarship
Defendants’ response brief contains a laundry list of all the ways they think Mona Murillo fell short in trying to vindicate her rights to be free from sex discrimination and retaliation while incarcerated at Salinas Valley State Prison. They devote page after page to cataloging the regulations that govern her claims, describing the intricacies of the three-tiered grievance system, and recounting her repeated efforts to navigate that morass. And from all of that, they draw the conclusion that Murillo’s lawsuit should be thrown out of court.
In the process, Defendants take the exhaustion requirement to an extreme that even the …
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 …
The Pastor As Romantic Author: Ai, Preaching, And The Unacknowledged Inheritance Of Authenticity, Daniel Plate, James Hutson
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 …
The Sec Proposed Cybersecurity Infrastructure Rules And New Disclosure Requirements, Neal F. Newman, Lawrence J. Trautman, Brian Elzweig
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 …
Criminal Court's Disability, Zohra Ahmed
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 …
Benchmarking Age-Gates, Katharine B. Silbaugh
Benchmarking Age-Gates, Katharine B. Silbaugh
Faculty Scholarship
This article examines how legal actors—particularly legislators, judges, and attorneys—invoke chronological age to justify the application of legal rules to adolescents. In doing so, they often rely on comparisons to existing “age-gates,” treating these thresholds (such as ages 18 or 21) as self-justifying reference points. Age 18, marking the legal transition from childhood to adulthood, and age 21, the former age of majority and current sales age for certain controlled substances, serve as especially powerful rhetorical anchors in age-based legal reasoning. These anchor points shape how legal actors advocate for or against particular age thresholds, often substituting analogy for substantive …
The Sports Parent's Predicament, Katharine B. Silbaugh
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 Gamification Of Banking, Colleen Baker, Christopher K. Odinet
The Gamification Of Banking, Colleen Baker, Christopher K. Odinet
Faculty Scholarship
Gamification is coming to banking. This phenomenon is already gain-ing ground in advertising, healthcare, manufacturing, and, more recently, with the GameStop and AMC meme stock saga in securities trading. The idea behind gamification is to make transactions seem fun, playful, and even casino-like in order to elicit habit-forming, addictive-like effects with consumers. This Article argues that the rise of financial technology (“fintech”) firms and their ever-growing business relationships with incumbent financial institutions has created the necessary conditions for gamification to take hold in the banking sector. In order to explore this observation, we undertake a study of current examples of …
Mcmc-Net: Accelerating Markov Chain Monte Carlo With Neural Networks For Inverse Problems, Anuj Abhishek
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
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 …
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
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
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
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
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 …
Cognition, White Matter Hyperintensities And Suicide Risk In Late-Life Depression Patients: An Exploratory Study, Martha Sajatovic
Cognition, White Matter Hyperintensities And Suicide Risk In Late-Life Depression Patients: An Exploratory Study, Martha Sajatovic
Faculty Scholarship
Objective: Suicide among older adults represents a major public health concern and is closely associated with late-life depression (LLD). White matter hyperintensities (WMHs), frequently observed in the aging population, have been linked to both LLD and cognitive impairment. However, the role of WMH burden and cognitive dysfunction in older adults with LLD who have recently attempted suicide remains unclear. This study aims to investigate differences in WMH burden and cognitive performance across three groups: LLD patients with a recent suicide attempt (recent suicide attempt group, RSA), non-suicidal LLD patients (non-suicidal group, NS), and healthy older adults (healthy comparison group, HC). …
Gaming As Therapeutic Modality For Military Veterans: Evidence, Mechanisms, And Program Design, Piper Hutson, James Hutson
Gaming As Therapeutic Modality For Military Veterans: Evidence, Mechanisms, And Program Design, Piper Hutson, James Hutson
Faculty Scholarship
This study synthesizes interdisciplinary evidence on game-based interventions for military veterans, mapping neurological mechanisms to clinically relevant outcomes while outlining design principles for community programs that leverage interactive media. The review characterizes how structured gameplay supports emotional regulation through attentional control, predictable feedback schedules, and reward-mediated learning that elevates motivation and mood; links to dopaminergic signaling and reduced rumination suggest plausible pathways for affective stabilization. Executive functions receive targeted engagement via strategy, puzzle, and action mechanics that demand working memory, cognitive flexibility, inhibition, and rapid decision-making, providing ecologically valid practice with measurable transfer to daily functioning. Social architectures in multiplayer …
Harnessing The Electronic Health Record To Identify And Enroll People With Epilepsy Into A Self-Management Program: Implementation And Scalability In A Clinical Setting, Clara Adeniyi, Richard Barigye, Jessica Black, Nicole Fiorelli, Carrie Rogers, Martha Sajatovic
Harnessing The Electronic Health Record To Identify And Enroll People With Epilepsy Into A Self-Management Program: Implementation And Scalability In A Clinical Setting, Clara Adeniyi, Richard Barigye, Jessica Black, Nicole Fiorelli, Carrie Rogers, Martha Sajatovic
Faculty Scholarship
Rationale: “Self-management for people with epilepsy and a history of negative health events” (SMART) is an 8-week, remotely delivered, Epilepsy Self-Management (ESM) program. The ongoing EXPANDing self-management support in healthcare networks (EXPAND) initiative leveraged the Electronic Health Record (EHR) to identify SMART candidates, simplify recruitment, and reduce staff workload. Methods: This is an ongoing implementation effort at two Level 4 Epilepsy Centers (Iowa and Cincinnati) using the Epic EHR which follows 9326 People With Epilepsy (PWE). The EHR uses pre-visit screening to identify PWE with a recent seizure; barriers to medication adherence; depression symptoms; age 18–25; or residence in rural …
Patterns And Implications Of Missed Injuries On Computed Tomography Imaging In Older Blunt Trauma Patients, Arnav Mahajan, Vanessa P. Ho
Patterns And Implications Of Missed Injuries On Computed Tomography Imaging In Older Blunt Trauma Patients, Arnav Mahajan, Vanessa P. Ho
Faculty Scholarship
Background: Older adults sustain disproportionately morbid injuries from low energy mechanisms, yet guidance around computed tomography imaging is lacking for this demographic. We hypothesize that current imaging practices may lead to potentially missed injuries, increasing morbidity and mortality. Methods: A secondary analysis of a prospective multicenter study (11/2020–12/2021) of older blunt trauma patients was performed. Suboptimal imaging was defined as a mismatch between final injury diagnosis and initial computed tomography imaging. We compared optimally vs not optimally imaged patients to determine factors associated with suboptimal imaging and examined mortality, hospital length of stay, and critical care use with a multivariable …
Retinoid Dynamics In Vision: From Visual Cycle Biology To Retina Disease Treatments, Jaclyn Swigris, Made Airanthi K. Widjaja-Adhi, Marcin Golczak
Retinoid Dynamics In Vision: From Visual Cycle Biology To Retina Disease Treatments, Jaclyn Swigris, Made Airanthi K. Widjaja-Adhi, Marcin Golczak
Faculty Scholarship
Light perception is a biological process that facilitates a profound interaction between the external world and the internal functions of living organisms. It begins with the absorption of photons with specialized visual pigments that contain vitamin A-derived chromophores. The light energy triggers the photoisomerization of the visual chromophore, initiating a cascade of signaling events that ultimately convert light into electrical signals interpreted as vision. However, the sustainability of vision relies on the continuous supply of the visual chromophore, which is maintained through light-dependent and light-independent processes. The importance of these processes is underscored by numerous blinding retinal diseases linked to …
Quilting As Reproductive Justice Information Activism, Liz Chenevey
Quilting As Reproductive Justice Information Activism, Liz Chenevey
Faculty Scholarship
No abstract provided.
The God Prompt And Deus Ex Machina: Techno-Theological Tropes And Operational Metaphors In Generative Media, James Hutson
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 …