Santa Clara University

Can't Stop: How Context and Individual Traits Influence Effectiveness of Different Gradual Interventions for Infinite Scrolling on Short-Form Video Platforms

Infinite scrolling on short-form video platforms like TikTok encourages prolonged engagement and post-usage regret. Interventions aim to mitigate such behavior, but their effectiveness may depend on the interplay between intervention type, contextual factors, and individual trait...

Converting Wealth into Well-Being: Shirtsleeves to Shirtsleeves in Three Generations

The adage “shirtsleeves to shirtsleeves in three generations” is commonly offered as a lament about the dissipation of family wealth. I reframe it as a desirable process when wealth is converted into well-being. Drawing on insights from behavioral finance and personal accounts fr...

The strain-energy function for combined bending and stretching of incompressible isotropic elastic plates

The strain-energy function of a thin plate composed of an incompressible isotropic elastic material is derived. In contrast to conventional models developed for applications involving large plate deformations with small midplane strains, the present model accommodates large defor...

The Python simulations of chemistry framework: 10 years of an open-source quantum chemistry project

Over the past decade, the Python-based Simulations of Chemistry Framework (PySCF) has developed into a widely used open-source platform for electronic-structure theory and quantum chemical method development. This article reviews the major advances since the previous overview in...

A Sociotechnical System Approach to Multimodal Emotion Propagation in Disaster Governance: Lessons from the 2021 Zhengzhou Flood

Short-video platforms provide multimodal records of public affect during natural disasters and offer new opportunities for crisis-oriented social-media analysis. Using the 2021 Zhengzhou Flood as a single-event case study, we construct DMAC, which, to the best of our knowledge, i...

Large language models as optimization controllers: Adaptive continuation for SIMP topology optimization

We present a framework in which a large language model (LLM) acts as a state-conditioned software control layer for solid isotropic material with penalization (SIMP) topology optimization, selecting continuation parameters from the current solver state rather than a fixed open-lo...

Sensitivity of 510(k) medical device filings to government shutdowns: a brief communication

Abstract Government shutdowns may impose indirect regulatory costs on medical device manufacturers by disrupting FDA review processes. This study examines changes in 510(k) review durations surrounding the 2013 and 2018 U.S. government shutdowns. We identify significant increases...

Homeless Encampment Closures Before and After City of Grants Pass v Johnson.

. 2026;116(9): 1369-1372. https://doi.org/10.2105/AJPH.2026.308473).

Diffusion Models in Recommendation Systems: A Survey

Recommender systems remain an essential topic due to its wide application and business potential. Given the great generation capability exhibited by diffusion models in computer vision recently, many recommender systems have adopted diffusion models and found improvements in perf...

Mandated to Change, Pressured to Survive: How Newly Appointed CEOs Use Resonance to Manage Strategic Change–Early Survival Dilemma

Abstract Newly appointed CEOs often enter office with a mandate to initiate strategic change, yet such change disrupts established routines and interests, frequently provoking resistance from organizational stakeholders. This creates a fundamental leadership transition dilemma: t...

Do information and communication technologies empower female workers? Evidence from Vietnam

We examine the impact of information and communication technology (ICT) adoption on female employment outcomes in Vietnam, using data at both the firm and household levels. Our identification strategy leverages geographic variation in the engineering costs of connecting to Vietna...

Beyond the Bubble: Answer Justification, Metacognitive Monitoring, and Revision in Multiple-Choice Testing

Multiple-choice tests are efficient and objectively scored, but they provide limited insights into the reasoning underlying students’ responses. Requiring students to justify their answers may encourage more generative processing while also providing diagnostic information about...