Digital Commons Network^™

Distributed Battery-Free Bioelectronic Implants With Improved Network Power Transfer Efficiency Via Magnetoelectrics, Joshua E Woods, Fatima Alrashdan, Ellie C Chen, Wendy Tan, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Alexander G Steele, Sean M Barber, Philip J Horner, Amir H Faraji, Dimitry G Sayenko, Mehdi Razavi, Jacob T Robinson

Faculty, Staff and Students Publications

Networks of miniature implants could enable simultaneous sensing and stimulation at different locations in the body, such as the heart and central or peripheral nervous system. This capability would support precise disease tracking and treatment or enable prosthetic technologies with many degrees of freedom. However, wireless power and data transfer are often inefficient through biological tissues, particularly as the number of implanted devices increases. Here we show that magnetoelectric wireless data and power transfer supports a network of millimetre-sized bioelectronic implants in which system efficiency improves with additional devices. We demonstrate wireless, battery-free networks ranging from one to six implants, …

Validation And Longitudinal Trajectory Analysis Of An Ai-Based Ecg Model For Aortic Stenosis: From Community Screening To Pre-Ta\Vr Risk Stratification, Matthew W Segar, Kaleb D Lambeth, Alexander Postalian, Stephanie Coulter, Jasen Gilge, Naveed Razvi, Mohammad Saeed, Robert D Paisley, Ambarish Pandey, Mehdi Razavi

Faculty, Staff and Students Publications

Aims: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late when left ventricular dysfunction may be irreversible. We evaluated whether longitudinal AI-enhanced ECG patterns can predict outcomes years before intervention and assessed the community screening potential of the AK-AVS model.

Methods and results: We conducted two complementary analyses: (1) community validation of the AK-AVS model in 3632 cardiovascular disease-free ARIC participants, and (2) longitudinal trajectory analysis of 7860 ECGs from 2040 TAVR recipients collected up to 10 years pre-procedure. Unsupervised clustering identified distinct AK-AVS trajectories, with mortality associations assessed using Cox regression and net reclassification improvement. In …

Statistical Methods In Aging Research: Improving Current Practices And Embracing Emerging Approaches, Deependra K Thapa, Erik S Parker, Mounika Kandukuri, Xi Rita Wang, Thirupathi R Mokalla, Olivia C Robertson, Wasiuddin Najam, Andrew E Teschendorff, Andrew W Brown, John R Speakman, Yisheng Peng, Bernard S Gorman, Heping Zhang, Luis-Enrique Becerra-Garcia, Colby J Vorland, David B Allison

Faculty, Staff and Students Publications

Aging research relies on varied statistical methods, and applying these methods appropriately is important for scientific rigor. However, proper use of these statistical techniques is a challenge. We discuss two categories of statistical methods in aging research: (a) emerging methods requiring further validation, including techniques to examine compression of morbidity, maximum lifespan, immortal time bias, molecular aging clocks, and treatment response heterogeneity, and (b) classic and existing methods needing reconsideration and improvement, such as stepwise regression, generalized linear models, methods for accounting for clustering and nesting effects, methods for testing for group differences, methods for mediation …

Simulation-Free Spine Palliative Radiotherapy Enabled By Ai-Adapted Diagnostic Ct, Yiding Han, Alexander Nicola Hanania, Zaid Ali Siddiqui, Vincent Ugarte, Boran Zhou, Abdallah S R Mohamed, Piyush Pathak, Daniel Allen Hamstra, Baozhou Sun

Faculty, Staff and Students Publications

Background: Radiotherapy planning traditionally requires a dedicated simulation CT (sCT), which can introduce delays in initiating treatment. This is particularly impactful in spinal palliative care, where timely treatment is often important for symptom control and prevention of neurological deterioration. Although diagnostic CT (dCT) is frequently available earlier in the workflow, it can lead to geometric and dosimetric inaccuracies when used directly for treatment planning due to discrepancies in patient positioning, vertebral alignment, and table curvature.

Purpose: To develop and evaluate an AI-based method that transforms dCT into a simulation-equivalent planning CT (AI-pCT), enabling a clinically feasible simulation-free workflow for spinal …

External Validation Of Calculator For Cesarean Delivery During Induction Of Labor, Claudia J Ibarra, Rachel L Wiley, Han-Yang Chen, Estefania Guthrie, Ipsita Ghose, Hector Mendez-Figueroa, Suneet P Chauhan

Faculty, Staff and Students Publications

Objective: To validate a published risk calculator to predict cesarean delivery (CD) among singletons undergoing induction of labor.

Methods: Our retrospective cohort study included singletons undergoing induction of labor. A predicted CD score was calculated for each individual based on a previously developed calculator. External validation of the calculator was assessed by the discriminative power of the model by using the area under the receiver operating characteristic curve, and by a calibration curve. The score was categorized as less than 10%, 10% to less than 30%, and 30% or greater. The primary outcome was CD. The secondary outcomes were a …

Development Of Retrieval-Augmented Generation-Based Large Language Model For Drug-Induced Liver Injury Using Livertox Data, Ashwin Rao, George Cholankeril, Avegail Flores, Gagan Sood, Terrence E White, Fasiha Kanwal, Hashem B El-Serag

Faculty, Staff and Students Publications

Background: Idiosyncratic DILI is a complex clinical challenge requiring timely and accurate decision support. LiverTox, curated by the National Institute of Health (NIH), offers a comprehensive DILI evidence base, but its encyclopedia-like format hinders point-of-care use. Health care providers increasingly use general large language models (LLMs) for clinical care, raising safety concerns due to LLM hallucinations or misinformation. We hypothesize that retrieval-augmented generation (RAG) integration-grounding LLM responses in LiverTox content-would enable accurate DILI decision support.

Methods: We processed 1343 LiverTox drug monographs into 8759 indexed segments using BioBERT embeddings. We developed a RAG pipeline that employs drug-specific prioritization, section-aware weighting, …

Predictive Validity Of The Obsessive-Compulsive Inventory-4 And Florida Obsessive-Compulsive Inventory-Ii Severity Scale, Eric A Storch, Ryan J Mccarty, Maya Zehavi, Mahnoor Ahmad, Vanessa Zavala Cruz, Dayan Berrones, Josselyn S Muñoz, Diana Obando, Servando Rodriguez Barajas, Renee M Frederick, Jacey L Anderberg, Hannah C Moore, Marcos E Ochoa-Panaifo, Mayra C Martinez Mallen, Ogechi C Onyeka, Andrew D Wiese, Melisa N Sagarnaga, Joseph F Mcguire, Ygor Arzeno Ferrão, Latin American Trans-Ancestry Initiative For Ocd Genomics (Latino), Wayne K Goodman, James J Crowley, Brazilian Obsessive-Compulsive Spectrum Disorder Working Group (Gttoc)

Faculty, Staff and Students Publications

Efficient and accurate screening tools are crucial for improving early identification and treatment outcomes among individuals with obsessive-compulsive disorder (OCD). This study evaluated the sensitivity and specificity of two OCD screening measures: the Obsessive-Compulsive Inventory-4 (OCI-4) and the Florida Obsessive-Compulsive Inventory-II (FOCI-II) severity scale. The measures were administered in a large transnational sample of Spanish speaking Latin American adults (N = 1696) with elevated obsessive-compulsive symptomatology. Participants completed diagnostic interviews (MINI and Y-BOCS) and self-report assessments across 23 sites in 11 countries. Both measures significantly distinguished OCD from non-OCD cases, with the FOCI-II demonstrating somewhat better predictive performance (AUC = …

Predicting Mortality And Costs After Emergency Department Visits By People With Dementia: Timing And Location Matter, Jason K Bowman, Christine S Ritchie, Kei Ouchi, Kyler M Godwin, James A Tulsky, Joan M Teno

Faculty, Staff and Students Publications

Background: People with dementia have high rates of emergency department (ED) and hospital utilization, high mortality and costs, and other poor outcomes. To successfully impact the care trajectories of these patients, health care systems must pragmatically identify the correct target population. This study described patterns of ED utilization by people with dementia and explored the accuracy of administrative data models to predict mortality and costs.

Methods: Retrospective cohort study of a 20% random sample of Traditional Medicare (TM) beneficiaries with dementia, age ≥ 66 years, and an index ED visit in 2018. One-year mortality and high costs were described, and …

Linkage Disequilibrium Score Regression Identifies Genetic Correlations Between Hepatocellular Carcinoma And Clinically Relevant Traits, Younghun Han, Vikram R Shaw, Jinyoung Byun, Aaron P Thrift, Catherine Zhu, Donghui Li, Rikita I Hatia, Robin Kate Kelley, Sean P Cleary, Anna S Lok, Paige M Bracci, Jennifer B Permuth, Roxana Bucur, Jennifer Knox, Jian-Min Yuan, Amit G Singal, Prasun K Jalal, R Mark Ghobrial, Yuko Kono, Dimpy P Shah, Mindie H Nguyen, Neehar D Parikh, Richard Kim, Hui-Chen Wu, Hashem El-Serag, Ping Chang, Yun Shin Chun, Jian Gu, Chad Huff, Asif Rashid, Lu-Yu Hwang, Alison P Klein, Saira A Khaderi, Ahmed O Kaseb, Kathrine A Mcglynn, Lewis R Roberts, Manal M Hassan, Christopher I Amos

Faculty, Staff and Students Publications

Hepatocellular carcinoma (HCC) mortality is increasing globally, partly due to the growing prevalence of nonviral liver diseases. Genome-wide association studies (GWAS) have identified genetic variants associated with HCC development. Leveraging GWAS summary statistics and linkage disequilibrium score regression (LDSR), we investigated disease co-development with hepatitis C virus-negative (HCV-negative) HCC to provide unique insights into HCC etiology and prioritize relationships for further causal inquiry. We utilized the LDSR statistical framework to estimate the genetic correlation and heritability between HCV-negative HCC with 901 epidemiologic, behavioral, and clinical traits from the United Kingdom Biobank (UKBB). First, we set the threshold for observed scale …

Proteomic Signatures Of Cardiac Dysfunction Among People With Diabetes: The Atherosclerosis Risk In Communities Study, Justin B Echouffo-Tcheugui, Chiadi E Ndumele, Jingsha Chen, Mary R Rooney, Keenan A Walker, Pascal Schlosser, Kuni Matsushita, Morgan E Grams, Christie C Ballantyne, Ron C Hoogeveen, Eric Boerwinkle, Bing Yu, Amil M Shah, Ruth F Dubin, Rajat Deo, Yue Ren, Jerome I Rotter, Kent D Taylor, Wendy S Post, Peter Ganz, Elizabeth Selvin, Josef Coresh

Faculty, Staff and Students Publications

Background: To investigate the proteomic signatures of heart failure (HF) in diabetes. The underlying mechanisms of the elevated risk of HF in diabetes are unknown.

Methods: In 10 189 ARIC study (Atherosclerosis Risk in Communities) participants free of HF (mean age 57±7 years, 56% women, 22% Black adults, 14% with diabetes), we conducted discovery and internal validation for the associations of 4955 plasma proteins with HF by diabetes status. We performed (1) Cox regression to identify proteins associated with HF by diabetes status, (2) external validation in the MESA study (Multi-Ethnic Study of Atherosclerosis, n=5233, 633 with diabetes), and (3) …

Examining Sleep-Related Problems In Youth With Misophonia, Kevin M Wagner, Matti Cervin, Catherine E Rast, Mered Parnes, Nicholas Murphy, Samuel Spencer, Eric A Storch, Andrew G Guzick

Faculty, Staff and Students Publications

The relationship between misophonia and sleep-related problems (SRPs) in youth is underexplored. This paucity of research is concerning because SRPs might be elevated among youth with misophonia. If left untreated, SRPs can contribute to long-term health consequences. Thus, in this study we examined the link between misophonia and SRPs in youth aged 8 to 17. In this study, we compared SRPs in 102 children and adolescents with clinically significant misophonia to SRPs in a normative youth sample and a sample of 94 youth with anxiety disorders. We also examined the extent to which SRPs were associated with misophonia severity. Approximately …

A Cryptographic Perspective On The Verifiability Of Quantum Advantage, Nai-Hui Chia, Honghao Fu, Fang Song, Penghui Yao

Computer Science Faculty Publications and Presentations

In recent years, achieving verifiable quantum advantage on a NISQ device has emerged as an important open problem in quantum information. The sampling-based quantum advantages are not known to have efficient verification methods. This article investigates the verification of quantum advantage from a cryptographic perspective. We establish a strong connection between the verifiability of quantum advantage and cryptographic and complexity primitives, including efficiently samplable, statistically far but computationally indistinguishable pairs of (mixed) quantum states (EFI), pseudorandom states (PRS), and variants of minimum circuit size problems (MCSP). Specifically, we prove that a) a sampling-based quantum advantage is either verifiable or can …

Understanding The Experiences And Visibility Of Asexual People And Guiding Policy To Effectively Protect Asexuality, Lizzie Stravens

University Honors Theses

Asexuality is sexual orientation defined by those who experience little to no sexual attraction. Despite asexuality being as common as red headedness or left handedness, it has been severely overlooked in research and conversations. Because many people are not aware of the existence of asexuality, it has not been directly attacked by anti-queer campaigns. Still, there have been some recent shifts in this dynamic as asexuality becomes more visible. I conducted a linear regression on the 2022 Ace Community Survey results. I analyzed the effect of theoretically important variables on the outness of asexual respondents. Results indicated an importance on …

Nasopharyngeal Microbiome-Epigenome-Wide Association Analysis In Infants With Severe Bronchiolitis, Ryohei Shibata, Yijun Li, Anat Yaskolka Meir, Sara Javornik Cregeen, Matthew Clayton Ross, Janice A Espinola, Ashley F Sullivan, Liming Liang, Kohei Hasegawa, Carlos A Camargo, Zhaozhong Zhu

Faculty, Staff and Students Publications

Background: Bronchiolitis exposes infants to both acute burdens (e.g., hospitalization in cases of severe bronchiolitis) and increased risks for chronic respiratory sequelae (e.g., asthma). In severe bronchiolitis, recent evidence suggests distinct pathobiological roles of microbiota (e.g., viruses, bacteria) and host responses influenced by genetic and epigenetic factors. However, the relationship of airway microbiota with host DNA methylation (DNAm) in infants with severe bronchiolitis remains unknown.

Methods: In a multi-center prospective cohort of 504 multi-ethnic infants with severe bronchiolitis (age < 1 year), using nasopharyngeal microbiome (exposure) and blood DNAm (outcome, Infinium MethylationEPIC BeadChip, Illumina) data within 24 h of the hospitalization, we conducted microbiome-epigenome-wide association studies (mbEWAS). We examined microbiota-associated differentially methylated CpGs (mbDMCs, false discovery rate [FDR] < 0.05), regions (mbDMRs, FDR < 0.05), and DNAm age acceleration. We also determined the associations of DNAm age acceleration with asthma development by age 6 years. Furthermore, we focused on asthma-related pathogenic bacteria-Haemophilus influenzae, Moraxella catarrhalis, and Streptococcus pneumoniae-for functional analyses by examining serum mbDMR-related proteins (Proseek Multiplex, Olink) and their enriched pathways (FDR < 0.10).

Results: Across 23 common taxa-observed at least in 25% of the infants, we identified 1 mbDMC (S. pneumoniae, cg16594639, chr20: 39528675) …

Cyborgs In The Chat: Technological Objects And Sociotechnical Interaction On Twitch.Tv, Yanro Judd C. Ferrer

Sociology & Anthropology Department Faculty Publications

This paper introduces the concept of Cyborgification, derived from the metaphor cyborg of Donna Haraway, to analyze how technological objects, such as emotes, bots, and third-party extensions, co-construct social life on Twitch.tv. Drawing on digital ethnography and interviews, it examines how viewers and streamers interact not just with each other but with the platform’s technical features in the production of humor, identity, and belonging. Through three scenes, a media-triggered emote ritual, a bot glitch turned joke, and an outsider’s exclusion due to missing plug-ins, this work shows how technological entanglement shapes participation. Cyborgification offers a sociotechnical lens that moves beyond …

Mapping Charge Interactions In Intrinsically Disordered Proteins, Michael Phillips, Andrea Holla, Magdalena Wojtas, Aritra Chowdhury, Andrea Sottini, Sebastian L B König, Natalie Mutter, Nick Lamb, Jonathan Huihui, Monika Lopko, Andrea Soranno, Daniel Nettels, Andrzej Ożyhar, Benjamin Schuler, Kingshuk Ghosh

2020-Current year OA Pubs

Intrinsically disordered proteins (IDPs) are often rich in charged residues, and electrostatic interactions have a pronounced effect on their conformational distributions, interactions and functions. However, attaining quantitative understanding of electrostatics is challenging because of the sequence-specific arrangement of charges in the chain, the long-range nature of electrostatic interactions, charge screening, and the condensation of counterions-effects that all need to be taken into account self-consistently. Here, analytically tractable quantitative models are developed to predict ensemble average distances between any pair of residues in IDPs as a function of sequence and salt concentration, explicitly considering charge patterning. These models are tested systematically …

The Campaign For Motivation: Comparing Tabletop Role-Playing Game Running With Classroom Instruction, Arpit Bawa

Journal of Research Initiatives

Motivation is a cornerstone of effective teaching and learning, influencing student engagement, satisfaction, and academic performance. This descriptive case study examines Tabletop Role-Playing Games (TRPGs) as an underutilized pedagogical approach in higher education and compares the motivational processes involved in TRPG game running with those in classroom instruction. Leveraging the mere exposure effect (Zajonc, 1968), the study proposes that faculty unfamiliar with TRPGs can lower perceived barriers to adoption by identifying familiar motivational elements shared with classroom teaching. The study draws on self-determination theory, motivational frameworks, and case study methodology to analyze structural parallels between TRPG game mastering and instructional …

Opencil: Benchmarking Out-Of-Distribution Detection In Class Incremental Learning, Wenjun Miao, Guansong Pang, Trong-Tung Nguyen, Ruohuan Fang, Jin Zheng, Xiao Bai

Research Collection School Of Computing and Information Systems

Class incremental learning (CIL) aims to learn a model that can not only incrementally accommodate new classes, but also maintain the learned knowledge of old classes. Out-of-distribution (OOD) detection in CIL is to retain this incremental learning ability, while being able to reject unknown samples that are drawn from different distributions of the learned classes. This capability is crucial to the safety of deploying CIL models in open worlds. However, despite remarkable advancements in the respective CIL and OOD detection, there lacks a systematic and large-scale benchmark to assess the capability of advanced CIL models in detecting OOD samples. To …

The Smu Trade Dashboard: Tracking And Quantifying The Trump Ii Tariffs, Pao-Li Chang, Ruoqing Chen, Lin Ma

Research Collection School Of Economics

The SMU Trade Dashboard (https://economics.smu.edu.sg/soetrade/tr ade-dashboard), developed by the SMU Center for Research on International Trade, consists of Tariff Tracker and Trade Simulation functions. The Tariff Tracker allows users to track the tariff applicable to an HS 6-digit product or an ISIC 2-digit sector bymarkets and country origins. The Trade Simulation presents quantitative simulation results of the effects of Trump II tariffs (and the associated tariff responses by its trading partners) on trade flows, welfare, and wages. This companion paper documents the methodologies underlying the tariff data collection protocol and the structuralsimulation designs.

Language Analysis Of "Gaslight" And "Narcissist" As Seen On Tiktok, Aaren Fernandez

Journal of Research Initiatives

TikTok is a popular social media platform from which users frequently obtain information. Specifically, psychological concepts such as anxiety, depression, and related conditions are becoming popular vernacular on TikTok through trends such as "story times." However, the accuracy of these terms' usage requires examination. In this qualitative analysis of TikTok posts and comments under the hashtags #gaslight and #narcissist, it was found that videos under these hashtags often originated from users attempting to warn viewers about psychological traits that align with common diagnostic language. However, comments under these videos tended to use these terms in a more casual sense than …

Braving Ai In Tertiary Education: Generative Artificial Intelligence And Chatbots In Civics, Magdalena Brzezinska

Journal of Research Initiatives

This article explores tested strategies for the responsible and inclusive use of text- and video-generating artificial intelligence (GenAI) and educational chatbots in university classrooms, with a focus on foreign language learners, including students from refugee and migrant backgrounds. Drawing on case studies from WSB Merito University in Poznan, Poland, the author presents methods for integrating AI in civics education in a culturally relevant and equitable manner, emphasizing the importance of responsible technology use. The strategies discussed are adaptable to various tertiary education settings and aim to enhance global skills, foreign language proficiency, AI literacy, and visual literacy among college students. …

Software Engineering In The Age Of Coding Agents: Failure Modes And Rejection Patterns, Mahd Mohd Hindi

Theses

This thesis investigates the real-world behavior of LLM-driven coding agents that generate code changes and submit pull requests (PRs) to public software repositories. As these tools evolve from autocomplete-style assistants into more autonomous agents, their contributions increasingly interact with socio-technical review processes (human reviewers, bots, CI/CD gates, and project norms). The thesis focuses on understanding why agent-generated PRs are accepted or rejected and what these outcomes reveal about current agent limitations in practical development workflows.

The main objective of this thesis is to systematically characterize rejection patterns and failure modes of agent-generated pull requests in real repositories. Specifically, the thesis …

Pennies In The Bank: Building Background Knowledge, Brooke Lee Webster

Journal of English Learner Education

Abstract

Across the United States, teachers are met with stringent time requirements that may not align with the needs of the students inside the classroom. This paper explores the efforts of condensing and prioritizing in a diverse classroom. Through a reflective narrative of teaching comprehension to emerging bilingual students, this paper presents a structure that leverages morning meetings and discussion as prongs for maximizing the benefit of students within limited instructional minutes. Tasks that build competence, confidence, and connection cycle to foster the environment that students need to thrive. Additionally, this paper investigates the role of building background knowledge in …

A Quasi-Experimental Study On The Effectiveness Of Achieve3000 On The Reading Comprehension Scores Of Ells With Ld, Paula P. Fields

Journal of English Learner Education

The purpose of this quasi-experimental pretest-posttest study was to determine if a significant difference existed in the comprehension scores of secondary English Language Learners with learning disabilities after treatment. The problem addressed is that a significant correlation exists between English language learners and learning-disabled students’ low reading proficiency scores and student achievement, leading to decreased graduation rates. Schema theory served as the theoretical foundation of this research because when the appropriate schema is activated, it helps increase comprehension. The research question guiding this study was: Is there a significant difference between the reading comprehension scores of high school English language …

The Gig Is Up: How Rideshare Companies Operate Under The Guise Of Nontraditional Employment To Circumvent Labor Protections, Hope E. Newkirk

Pace Law Review

App-based rideshare platforms’ rapid expansion has transformed gig work from a temporary, flexible labor model into a sustained form of employment that serves as the primary source of income for millions of workers. Despite this evolution, leaders in the rideshare industry continue to classify drivers as independent contractors, thereby avoiding statutory obligations related to minimum wage, overtime, unemployment insurance, workers’ compensation, and healthcare benefits. This Comment argues that as platform-based labor becomes more permanent and economically dependent, the continued reliance on independent contractor classification becomes increasingly inconsistent with the governing legal standards designed to distinguish employees from independent contractors.

This …

The New Red Scare: The Shocking Truth Behind The Fda's Unethical Regulation Of Red 40 And Other Synthetic Food Dyes, Angelica Martuscello

Pace Law Review

For decades, the U.S. Food and Drug Administration (FDA) has allowed synthetic food dyes to remain in the American food supply, despite evidence linking them to cancer and behavioral issues in children. These additives offer no nutritional value yet remain common in everyday products. This essay scrutinizes the FDA’s failure to enforce its own legal obligations, particularly its continued approval of synthetic dyes, which were later found to be harmful to human health. Harmful dyes have been kept on the market due to weak oversight, outdated science, and industry lobbying. In 2025, the FDA finally announced a plan to phase …

Lessons In Pedagogy: My Experience With Problem-Based Learning, Leslie Y. Garfield Tenzer

Pace Law Review

This Article chronicles my experimental adoption of Problem-Based Learning (PBL) in first-year Contracts. After three decades of conventional teaching, I observed that Gen Z students struggled to transition from undergraduate memorization strategies to law school-level analytical reasoning, prompting my desire to engage in a fundamental pedagogical change. Drawing on successful PBL implementations in medical and mathematics education, I restructured my Contracts course around collaborative problem-solving in small groups, transforming my role from lecturer to facilitator. Students worked through authentic legal scenarios at whiteboards, developing rule-based reasoning through active engagement rather than passive reception.

This article first details my reasons for …

Efektivitas Lembaga Penjamin Simpanan (Lps) Dalam Meningkatkan Kepercayaan Masyarakat Berdasarkan Tinjauan Yuridis Dan Moral Hazard, Arnelia Kesumadianty, Desran Jw Saragih, Dwi Marlianto

Technology and Economics Law Journal

This study examines the effectiveness of the Indonesia Deposit Insurance Corporation (LPS) in enhancing public trust in the stability of the Indonesian banking system and analyzes the potential moral hazard arising from the deposit insurance scheme. Employing a normative juridical method with a descriptive-analytical approach, the research reviews the legal framework of LPS under Law Number 24 of 2004 and its amendments, as well as Law Number 4 of 2023 on the Development and Strengthening of the Financial Sector (P2SK), and compares it with deposit insurance practices in several other jurisdictions. The findings indicate that LPS plays a crucial role …

Desegregating The Community Of Inquiry In Philosophy For/With Children, Maughn Rollins Gregory, Darren Chetty

Department of Educational Foundations Scholarship and Creative Works

This dialogical article examines persistent challenges in engaging racism, colonialism, and white supremacy within the theory and practice of Philosophy for/with Children (P4/wC). Framed as a mutual interview between two long-standing colleagues, the dialogue revisits formative encounters in the P4/wC community and situates them within broader intellectual traditions, including American pragmatism, deliberative democracy, and Africana philosophy. Drawing on personal experience, archival material, and critical scholarship, the authors interrogate the metaphilosophical assumptions underpinning the “community of inquiry,” particularly its commitments to reasonableness, consensus, and democratic dialogue. Concepts such as the “gated community of inquiry,” white ignorance, nonideal theory, and insurrectionist ethics …

Large Language Models In Qualitative Analysis: Comparing Traditional And Researcher-Interpreted Approaches, Raihan K. Khan

Faculty Scholarship

Qualitative data analysis, particularly thematic analysis, is a widely used method for uncovering patterns and insights in narrative data but often faces challenges such as being resource-intensive and susceptible to researcher bias. In recent years, Large Language Models (LLMs) have emerged as promising tools to assist human coders in conducting thematic analysis, offering efficiency and scalability in processing large datasets. However, existing work primarily relies on tools like ChatGPT, raising privacy concerns—especially when analyzing sensitive healthcare data—and lacks systematic validation through comparisons with human coders. This study aims to evaluate the potential of open-source LLMs for qualitative data analysis. Semi-structured …