Digital Commons Network^™

The Silent Language Of Trauma: Defendant Behavior, Juror Bias, And Expert Testimony, Jensen Goldman

Scripps Senior Theses

Trauma can profoundly influence behavioral presentation, yet jurors often rely on demeanor as a diagnostic cue for guilt, credibility, and remorse. Such reliance poses risks within a legal system that seldom equips jurors to interpret trauma related behaviors accurately. The proposed study will examine how two trauma-linked affective presentations– overemotionality and flat affect– shape juror perceptions of credibility and guilt, and whether expert psychological testimony about trauma-related affect can mitigate these biases. Online survey participants will read one of five trial vignettes with varying defendant conditions (flat affect vs. overemotional) and varying expert testimony conditions (present or not present) and …

Implementing Climate Remedies, Camila Bustos

Elisabeth Haub School of Law Faculty Publications

Climate change litigation has emerged as a powerful tool for addressing the climate crisis, particularly in the face of executive and legislative inaction. Across jurisdictions, courts have issued landmark decisions mandating stronger mitigation targets and recognizing rights-based claims against governments and corporations. While recent scholarship has examined the trends, legal theories, and broader effects of this relatively new phenomenon, it has primarily focused on bringing and winning legal challenges. Less attention has been paid to a crucial phase: the implementation and enforcement of judicial rulings. A deeper understanding of how climate remedies are implemented can provide valuable insights for climate …

Information Law Pluralism, Hannah Bloch-Wehba

Faculty Scholarship

Information-intensive activities are reshaping political, social, and economic institutions. As they respond to these shifts, legislators and regulators are embracing information as a regulatory device for tech. Far from limiting themselves to public disclosure, consumer notice, and other traditional mechanisms of fostering transparency and information flows, however, legislators are using other, more nuanced tools to incentivize regulated entities to obtain, generate, and share information.

This Article maps the landscape of the emerging information-based regimes for regulating tech and assesses their conceptual and practical implications. It canvasses an extensive set of recently enacted laws regulating the information economy and shows that, …

Equal Justice & Generative Ai, Milan R. Markovic

Faculty Scholarship

The United States has long suffered from unequal access to justice, with countless low-and middle-income Americans forced to navigate the legal system alone. Recently, prominent judges, lawyers, and scholars have seized on generative AI as a potential corrective. These techno-optimists maintain that ChatGPT and other large language models can demystify the law and address unmet legal needs. Chief Justice John Roberts has proclaimed that AI-based tools "have the welcome potential to smooth out any mismatch between available resources and urgent needs in our court system."

Although AI will be an increasingly important source of legal assistance for underserved populations, the …

Otras Iluminaciones. Narrativa, Cultura Y Psicodélicos. Otras Iluminaciones. 2nd Ed, Alberto Ribas-Casasayas, Ana Luengo

Faculty Book Gallery

No abstract provided.

Large Language Models For Neurology: A Mini Review, Donald C. Wunsch, Daniel B. Hier

Electrical and Computer Engineering Faculty Research & Creative Works

Large language models have the potential to transform neurology by augmenting diagnostic reasoning, streamlining documentation, and improving workflow efficiency. This Mini Review surveys emerging applications of large language models in Alzheimer's disease, Parkinson's disease, multiple sclerosis, and epilepsy, with emphasis on ambient documentation, multimodal data integration, and clinical decision support. Key barriers to adoption include bias, privacy, reliability, and regulatory alignment. Looking ahead, neurology-focused language models may develop greater fluency in biomedical ontologies and FHIR standards, improving data interoperability and supporting more seamless collaboration between clinicians and AI systems. Two future developments have the potential to be particularly impactful: (1) …

Evaluation Of Multiple Generative Large Language Models On Neurology Board-Style Questions, Mohammad Almomani, Vijaya Valaparla, James Weatherhead, Xiang Fang, Alok Dabi, Chih Ying Li, Peter Mccaffrey, Dan Hier, Jorge Mario Rodríguez-Fernández

Electrical and Computer Engineering Faculty Research & Creative Works

Objective: To compare the performance of eight large language models (LLMs) with neurology residents on board-style multiple-choice questions across seven subspecialties and two cognitive levels. Methods: In a cross-sectional benchmarking study, we evaluated Bard, Claude, Gemini v1, Gemini 2.5, ChatGPT-3.5, ChatGPT-4, ChatGPT-4o, and ChatGPT-5 using 107 text-only items spanning movement disorders, vascular neurology, neuroanatomy, neuroimmunology, epilepsy, neuromuscular disease, and neuro-infectious disease. Items were labeled as lower- or higher-order per Bloom's taxonomy by two neurologists. Models answered each item in a fresh session and reported confidence and Bloom classification. Residents completed the same set under exam-like conditions. Outcomes included overall and …

Deep Learning Based High-Resolution Electromagnetic Inversion Imaging Using Deep Convolutional Double-Module Structure, He Ming Yao, Shiji Song, Lijun Jiang, Michael Ng

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel deep learning (DL) approach has been proposed to realize high-resolution electromagnetic (EM) inversion imaging. The newly proposed approach is based on the deep convolutional double-module structure (DCDMS), consisting of the pixel-interpolating module and the corresponding quality-improving module. While the pixel-interpolating module roughly increases the 'resolution' of the initial input, the following quality-improving module realizes quantitative EM imaging in high resolution. The input of the proposed DCDMS adopts the mixed input scheme, consisting of the received EM scattered field and the initial reconstruction in much low resolution computed from Gauss-Newton method. The output of the proposed …

Enhancing Explainable Ai For Medical Imaging: Improved Lime Interpretation With Influence Mapping, Abiha Tahsin Chowdhury, Dhanush Bavisetti, Daniel B. Hier, Rahul Dubey, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

The integration of artificial intelligence (AI) into medical imaging is progressing rapidly. It is essential for these AI tools to be transparent, interpretable, and explainable to gain the trust of clinicians and regulators. Current state-of-the-art explainable AI (XAI) techniques in imaging includes Local Interpretable Model-Agnostic Explanations (LIME), Shapley Additive Explanations (SHAP), and Gradient-weighted Class Activation Mapping (Grad-CAM). Recent studies have shown that LIME often suffers from inconsistency and unreliability which limits their utility in sensitive fields like medical imaging. This paper proposes Influence Map based Explanation (IME), an enhanced variant of the original LIME framework, that aggregates multiple runs to …

[Introduction To] Shakers At The Center : Manifesting Spirits & Spectacles In Nineteenth-Century America, Douglas L. Winiarski

Bookshelf

Edited by Douglas WIniarski.

"Exploring the theological, social, and cultural dimensions of one of America’s most ambitious prophetic movements

The Shakers’ Era of Manifestations ranks among the most astounding events in American religious history. During the 1840s, members of the United Society of Believers in Christ’s Second Appearing embarked on an audacious project of receiving visions, revelations, and other manifestations from the spirit world and convincing both themselves and the world’s people of their reality. Gifted Shakers known as “instruments” surrendered their bodies to possessing spirits and celestial beings who, in turn, provided the Believers with an unimaginable number of …

Organ Chips And Translational Research: Identifying And Examining New Ethical Issues, Melanie Jeske

Center for Medical Ethics and Health Policy Staff Publications

Organ chips, also known as organ-on-a-chip devices, tissue chips, or microphysiological systems, have emerged over the last decade as a promising translational technology amidst growing concern about the translational crisis between laboratory research and patient bedside. Pointing to high rates of failure between nonhuman animal models and safety and efficacy in humans, organ chips and similar new approach methods have attracted substantial public and private investment. As human-cell-based alternatives to animal models, organ chips promise more predictive, efficient, and ethical platforms for pharmaceutical and toxicity testing. Engineered cultivation systems that enable cells to assemble into tissue-like structures (e.g. kidney, brain, …

Anything But Endo: Diagnostic Buck-Passing In Endometriosis Diagnosis, Rita Dexter, Megan Kitts, Heather Welty, Melanie Jeske

Center for Medical Ethics and Health Policy Staff Publications

People living with endometriosis, a disease in which tissue similar to the lining of the uterus grows elsewhere in the body, often experience prolonged diagnostic journeys because of symptom variability, normalisation of period pain and other symptoms, and lack of awareness of the condition. In this article, we analyse the endometriosis diagnostic journey through the lens of epistemic injustice. Drawing on in-depth interviews with 52 people living with endometriosis in the United States, we introduce the concept of diagnostic buck-passing to characterise the phenomenon wherein individuals who seek treatment for their symptoms end up stuck in a cycle of seeing …

2-Point Focused Laser Differential Interferometry Measurements Of A Parallel Jet In Supersonic Flow, Joshua Gary, Joseph Villarreal, Davide Vigano

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Turbulence in compressible flows plays a central role in applications such as air-fuel mixing in supersonic combustors and is significantly more complex than incompressible turbulence due to the presence of fluctuating thermodynamic quantities. As such, models like the Strong Reynolds Analogy (SRA) are used to relate these quantities. However, SRA validity has been examined primarily in boundary-layer flows. In this work, a newly developed Two-Point Focused Laser Differential Interferometry (2-FLDI) system is implemented in a two-dimensional parallel supersonic jet. The diagnostic is described in detail, including optical alignment procedures, calibration methods, and data analysis techniques. Measurements acquired at multiple streamwise …

Case Series Of Nizon-Isidor Syndrome By Heterozygous Variants In Med12l With Further Evidence Of Mitotic Instability In One Case With Diploid-Triploid Mosaicism, Russell Stewart, Kimberly M Ezell, Deanna S Bell, Brian Corner, Ashley Mcminn, Joy D Cogan, Rizwan Hamid, Lynette Rives, John A Phillips, Nina Paddu, Gitanjali Srivastava, Ronit Marom, Farah A Ladha, Claudia Soler-Alfonso, Rachel Franciskovich, Mary Koziura, Sumit Pruthi, Gabriele Richard, Christina B Sheedy, Undiagnosed Diseases Network, Thomas Cassini

Faculty, Staff and Students Publications

Nizon-Isidor syndrome is a rare disorder caused by heterozygous variants in MED12L, with only eight documented cases in the literature. Here, we present three additional cases of this syndrome. Proband 1 was a 7-year-old female who presented with developmental delay, right-leg hemihypertrophy, laryngeal cleft, esotropia, abnormal skin pigmentation, sectoral iris hypopigmentation, dysphagia, periventricular nodular heterotopia, seizures, morbid obesity, and a pelvic kidney. Genome sequencing (GS) revealed a MED12L variant, NM_053002.5:c.3559+2T>G. Both computational models and transcriptomic analysis confirmed that this variant induced splice loss of MED12L exon 25. Probands 2 and 3 presented with overlapping phenotypes of developmental delay; sequencing …