Digital Commons Network^™

Reconstruction Of Information System Acceptance Model In The Era Of Integrated Artificial Intelligence: A Systematic Literature Review, Ilham, Merlin Apriliyanti

Library Philosophy and Practice (e-journal)

This study aims to explain the rapid development of Artificial Intelligence (AI) which has driven significant transformations in the development and use of information systems. However, most classical information system acceptance models, such as the Technology Acceptance Model (TAM) and  (UTAUT), have not been able to fully explain the unique characteristics of AI-based systems that are autonomous, adaptive, and complex. This study aims to reconstruct the information system acceptance model in the era of integrated AI through a Systematic Literature Review (SLR) approach. This study was conducted using the PRISMA protocol on 130 leading scientific articles indexed by Scopus and …

Stacks, Pamela C. (1950-2026), San Jose State University

Emeritus and Retired Faculty Biographies

University of California, Los Angeles, Department of Chemistry, Biochemistry Ph.D. 1979

University of California, San Diego, Revelle College, Biology A.B. 1972

Analyzing The Utilisation Of Chatgpt For Academic Purpose: Exploring Student Motivations, Dr. Sankar P, Nandakumar K

Library Philosophy and Practice (e-journal)

While praising ChatGPT for its ability to produce complex and human-like text, it was hailed as the best AI chatbot ever released to the public. It was also noted that the output was on par with what a competent student could do, suggesting that teachers would have significant challenges down the road. The purpose of this study was to investigate what drives students to use ChatGPT for schoolwork. This study used a descriptive research approach to describe the opinions of Arts and Science College students in the Coimbatore District. The study used a questionnaire to get data from the students' …

Spartan Daily, March 26, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 28

Spartan Daily, March 25, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 27

Spartan Daily, March 24, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 26

Ai4qual: A Comprehensive Field Guide To Llm-Supported Qualitative Research (Tutorial), He Zhang, Jie Cai, Jingyi Xie, Chuhao Wu, Chan Min Kim, John M. Carroll

Faculty Research, Scholarly, and Creative Activity

This half-day (≈ 180 minutes), hands-on tutorial translates recent findings on large language model (LLM) support for qualitative research into a concise, end-to-end workflow grounded in our prior studies. Part I (LLM-supported semi-structured interviewing) distills design principles for AI-generated follow-up questions—covering role assignment, engagement patterns, user perceptions, and practical tactics for integrating LLM prompts during interviews while honoring consent and study protocols. Part II (LLM-supported coding and analysis) operationalizes results from prior work on using ChatGPT/LLMs for qualitative coding: moving from open coding to categories/themes, interpreting human–LLM alignment and inter-rater reliability findings at a conceptual level, and building a lightweight …

What Holds High-Speed Rail Back: Lessons From Global Systems And California’S Experience, Deepak K. Sharma, Rajnish Lekhi, Scott Parr

Mineta Transportation Institute

This report examines benefits and challenges of integrating California High-Speed Rail (CHSR) with other rail systems and reviews California legislation impacting HSR’s contracting and financing alternatives. The research compares CHSR with high-speed rail systems around the world to identify similarities and differences in costs, speeds, ridership, and operating conditions. It also reviews Japan’s Land Readjustment Act as a model for value capture and land assembly and explores international experiences on rail integration, along with U.S. cases from the East Coast and Los Angeles. A review of California’s transportation legislation highlights how laws for highways and bridges differ from those for …

Equity Evaluation Of Residents’ Transit+Walk Accessibility To Sacramento Healthcare Facilities, Masoud Ghodrat Abadi, Ahoura Zandiatashbar, Aaron Pickett, Stephanie Nemet, Soheil Sharifi

Mineta Transportation Institute

Access to healthcare is a key component of public health equity, yet many U.S. communities remain dependent on private vehicles for medical travel. This study introduces an integrated framework, the Transit+Walk Score (TWS), to evaluate how effectively residents of Sacramento, California, can reach healthcare facilities via public transit and how safely, comfortably, and conveniently they can walk from transit stops to those facilities. The research aims to inform planners, transit agencies, and policy makers in designing equitable and multimodal transportation systems. The research team combined geospatial network modeling and field-based walkability audits to assess 123 healthcare facilities across Sacramento, with …

Cycling Past 50: A Closer Look Into The World Of Older Cyclists, Year 5 Survey, Carol Kachadoorian

Mineta Transportation Institute

This document reports on approximately 2,800 responses to a North American survey of older adults who cycle. The survey, open from March 2024 through February 2025, included questions that captured a person’s cycling over their life course, as well as their current cycling styles, habits, and preferences. Responses reflect the impact of various factors on an older adult’s cycling habits with respect to their ability and agility and their expectation to continue cycling. The survey asked about falls and near misses in the past year, coding fall descriptions into six categories and sorting them by the respondent’s gender and age. …

Assessing Flash Drought Development And Propagation Across The Contiguous United States Using Remote Sensing, Masoud Zeraati, Alireza Farahmand, Richard Seager, Hayley J. Fowler, Nima Madani, Nicholas Parazoo, Colin Manning, Christopher J. White, Yixin Wen, Ali Mehran, Amir Aghakouchak

Faculty Research, Scholarly, and Creative Activity

Flash droughts are characterized by rapid onset and intensification, with severe impacts on agriculture and ecosystems. They often begin as meteorological droughts and, if conditions worsen, evolve into agricultural droughts. While precipitation deficit is often the primary driver, atmospheric and hydrological anomalies can exacerbate flash drought development. This study characterizes flash droughts across the Contiguous United States using remote sensing data from 2003 to 2020. A combination of satellite-derived meteorological, agricultural, and ecological variables are used to investigate large-scale flash drought development. Events are defined using root-zone soil moisture. We used the Aridity Index to assess how background aridity influences …

Beyond Technical Performance: Preliminary Findings On Algorithm Aversion In Digital Library Environments, Hengyi Fu, Fenfang Cao

Faculty Research, Scholarly, and Creative Activity

Introduction. This study examines algorithm aversion in digital library contexts, where users increasingly encounter algorithm-enabled services. Prior research in healthcare and finance shows that users often resist algorithmic systems even when they outperform human alternatives, yet little is known about how this phenomenon manifests in the digital libraries context. Method. As part of an ongoing project, we conducted semi-structured interviews with 18 users from two Chinese universities. Participants were selected through theoretical sampling. Interviews were analysed using constructivist grounded theory. Analysis. Open and axial coding of the first 18 interviews produced 42 initial concepts organised into 16 categories under five …

Spartan Daily, March 19, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 25

Spartan Daily, March 18, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 24

Evidence Of Emperor Penguins’ Sensitivity To Sea Ice Fluctuations, Rose T.N. Foster-Dyer, David Iles, Leo Salas, David G. Ainley, Birgitte Mcdonald, Sharon Stammerjohn, Lise Viollat, David Ortega, Annie E. Schmidt, Grant Ballard, Carolynne Hultquist, Jonathan D. Tonkin, Michelle Larue

Faculty Research, Scholarly, and Creative Activity

Using satellite-derived abundance indices over 20 years, we investigated population change among the seven Ross Sea emperor penguin (Aptenodytes forsteri) colonies. We found a 90% probability that the Ross Sea metapopulation had lower springtime attendance between 2005 and 2024 (mean change = -23%; 95% CI: -46 to +20%). We identified two distinct phases of change: slightly increasing 2005 to 2019/2020, followed by a steep decline 2020-2024, resulting in a decrease of approximately 23 000 birds in 5 years or approximately 32% of the regional population. Over the 20 years, the two southernmost colonies, Cape Crozier and Cape Colbeck, increased in …

Spartan Daily, March 17, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 23

Physics-Informed Neural Network For The Simulation Of Turbulent Jet Grout Flow, Rakam Lama Tamang, Yichuan Zhu, Joseph Coe

Faculty Research, Scholarly, and Creative Activity

This study presents a physics-informed neural network (PINN) framework to simulate axisymmetric submerged jet grout flow using high-fidelity data generated from ANSYS Fluent simulations. The CFD model solves the Reynolds-averaged Navier–Stokes (RANS) equations coupled with the k-ε turbulence closure model, converted into axisymmetric form to reflect jet grouting. The PINN incorporates continuity, RANS equations, and turbulence closure equations into the loss function, enabling it to learn turbulent flow physics without requiring mesh generation. Separate neural networks were used for each flow variables—axial velocity (U), radial velocity (V), pressure (P), turbulent kinetic energy (k), and dissipation rate (ε). The model was …

Multi-Agent Llm For Reducing Unsheltered Homelessness, Shravya Kothapalli, Samhita Juloori, Vishvaas Vasudeva Rao, Joshna Medisetty, Ahmed Hambaba

Faculty Research, Scholarly, and Creative Activity

This project examines how data science and intelligent systems can enhance homelessness prevention efforts by facilitating early identification and optimized service delivery. Using a synthesized dataset reflective of Santa Clara County populations, we developed predictive models to assess risk factors associated with homelessness, such as rent burden, employment instability, eviction notices, and chronic health conditions. These models inform a multi-agent system recommending targeted interventions across medical, food, and job resources. Our system is designed to prioritize individuals most at risk and match them with appropriate services based on availability, proximity, and personal needs. By integrating geographic data and real-time service …

Understanding Tradeoffs In Clinical Text Extraction: Prompting, Retrieval-Augmented Generation, And Supervised Learning On Electronic Health Records, Tanya Yadav, Aditya Tekale, Jeff Chong, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Clinical discharge summaries contain rich patient information but remain difficult to convert into structured representations for downstream analysis. Recent advances in large language models (LLMs) have introduced new approaches for clinical text extraction, yet their relative strengths compared with supervised methods remain unclear. This study presents a controlled evaluation of three dominant strategies for structured clinical information extraction from electronic health records: prompting-based extraction using LLMs, retrieval-augmented generation for terminology canonicalization, and supervised fine-tuning of domain-specific transformer models. Using discharge summaries from the MIMIC-IV dataset, we compare zero-shot, few-shot, and verification-based prompting across closed-source and open-source LLMs, evaluate retrieval-augmented canonicalization …

From Protocol To Action: Critical Perspectives On Earthquake Preparedness In Mexico, Sandra Vaiciulyte, David A. Novelo-Casanova, Thalia Anagnos, Gerardo Suárez

Faculty Research, Scholarly, and Creative Activity

Purpose – This study explores perceptions and reactions to earthquake preparedness education, earthquake early warning (EEW) systems and earthquake drill protocols in Mexico, as well as potential strategies to make these earthquake preparedness tools more effective and meaningful. Design/methodology/approach – Eleven Focus Groups were conducted with 109 students from diverse academic and social backgrounds of the two largest public universities in Mexico. The findings were validated on a broader participant group using questionnaires, focused solely on the drill, administered to two populations at two distinct institutions following the 2025 National Earthquake Drill in Mexico City. Findings – Focus group findings …

Spartan Daily, March 11, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 21

Ocean Observing System Design: Transatlantic Acoustic Propagation For Acoustic Thermometry, Brian D. Dushaw, Dimitris Menemenlis, John A. Colosi

Faculty Research, Scholarly, and Creative Activity

Ocean acoustic thermometry is simulated in the North Atlantic using two global ocean state estimates to assess its potential contributions to the Global Ocean Observing System. Acoustic data were simulated for transatlantic acoustic propagation from Cabo Verde to Bermuda, a 4183-km archetypal path across the Mid-Atlantic Ridge. Acoustic scattering by internal waves was simulated using a range-dependent, stochastic model added to the ocean state estimates. While the Ridge blocks acoustic propagation traveling deeper than about 3000 m, and internal-wave sound speed scintillations cause prohibitive scattering of later-arriving rays, it is apparent that O(10) acoustic ray arrivals on this path are …

Spartan Daily, March 10, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 20

Addressing Failing Water Systems: A Qualitative Protocol For Intervention Research On Water Insecurity, Patrick Thomson, Melissa Beresford, Jobayer Hossain, Cara Jacob, Carolina Jordão, Oswaldo Medina-Ramírez, Sophie Neems, Daniel Salcedo Serrano, Dave White, Amber Wutich

Faculty Research, Scholarly, and Creative Activity

It is increasingly acknowledged that high income countries do not enjoy universal drinking water coverage, with pockets of water insecurity persisting close to areas that have had high-quality, centralized water provision for half a century or more. The reasons behind this are complex, and effective ways to improve water security in these areas defy simple prescriptions. Nuanced measures that disaggregate the different facets of water insecurity are especially important as we attempt to understand and, crucially, improve water security in high-income countries.In this paper, we describe a qualitative protocol for assessing water insecurity at the household level in a study …

Radiv2: An Adaptable And Versatile Diagenetic Model For Coastal And Open-Ocean Sediments, Hinne F. Van Der Zant, Olivier Sulpis, Jack J. Middelburg, Matthew P. Humphreys, Raphaël Savelli, Dustin Carroll, Dimitris Menemenlis, Kay Sušelj, Vincent Le Fouest

Faculty Research, Scholarly, and Creative Activity

Ocean biogeochemistry is being altered by anthropogenic processes such as warming, acidification, eutrophication, and deoxygenation. Global-ocean biogeochemistry models are essential for investigating present and projecting future conditions, yet they often lack detailed representations of seafloor processes, despite the seafloor’s important role in material exchange between the biosphere and geosphere. To improve the representation of exchange across the sediment-water interface, we present RADIv2, a flexible and computationally efficient diagenetic model designed to simulate benthic biogeochemical processes across a range of marine environments, from coastal zones to abyssal plains. RADIv2 incorporates key features such as benthic methane cycling, a hydrodynamically controlled diffusive …

Co-Design At The Boundary: Understanding The Dynamics Of Open Innovation Between Companies And Communities, Eric Reynolds Brubaker, Francesca Bellesia, Elisa Mattarelli, Pamela J. Hinds

Faculty Research, Scholarly, and Creative Activity

For over two decades, firms have built platforms and engaged open innovation communities to improve and customize their products through widened participation in the design process. While the benefits of involving those outside a firm as co-designers have been well described, how co-design processes unfold over time at the boundary between those in an organization and an open online community remains poorly understood. Using the theoretical lens of boundary work and a five-year ethnographic study with a firm that pioneered co-design in the automotive industry, we develop a theoretical model that shows how and why co-design between the firm and …

Editorial: Advances And Challenges In Mobile Robot Design And Control For Diverse Environments, Hongjun Xing, Weihua Li, Mojtaba Sharifi, Yuan Yang

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

Hydrogen Defects In Labi2o4x (X = Cl, Br, And I) Sillén Oxyhalide Phases And Their Impacts On Ionic Transport, Shin Young Kang, Andrew J.E. Rowberg, Shenli Zhang, Joel B. Varley

Faculty Research, Scholarly, and Creative Activity

Sillén oxyhalides have recently emerged as promising materials for both photocatalytic and ionic transport applications, yet the role of likely-ubiquitous hydrogen-related defects in these layered compounds remains largely unexplored. Here, we employ first-principles defect calculations to investigate incorporation energetics for hydrogen- and oxygen-related defects, as well as their migration barriers in LaBi2O4X (X = Cl, Br, I) phases. We find that hydrogen interstitials, particularly protonic species (Hi⁺), are readily accommodated within the open Bi–O layers. Protons compete with oxygen vacancy donors (VO²⁺) and charge-compensate with oxygen interstitial acceptors (Oi²⁻). By linking hydrogen defect formation …

Spartan Daily, March 3, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 17

Colocalization And Functional Analyses Identify Gbe1 As A Gene Linking Muscle Strength And Cardiometabolic Fitness, Theresia M. Schnurr, Miranda L. Johnson, Christopher Jin, Kimmie V. Sørensen, Lindsey Kim, James W. Jahng, Amanda Ramste, Ewa Bielczyk-Maczynska, Michael J. Gloudemans, Peter Saliba-Gustafsson, Elena Vinton, Patrick L. Jurney, Ivan Carcamo-Orive, Euan A. Ashley, Torben Hansen, Joshua W. Knowles, Brian T. Palmisano

Faculty Research, Scholarly, and Creative Activity

Handgrip strength is a proxy for muscular fitness, an indicator for general health status, and is associated with cardiometabolic health. The mechanisms connecting handgrip strength to skeletal muscle function are incompletely understood. We applied integrated linkage-disequilibrium-adjusted colocalization analysis of genome-wide association study summary statistics for handgrip strength, combined with expression and splicing quantitative trait loci from skeletal muscle, and identified glycogen branching enzyme 1 (GBE1) as a candidate gene for handgrip strength. CRISPR-interference knockdown of GBE1 in immortalized human skeletal muscle cells (HMCL-7304) demonstrated decreased glycogen content and accumulation of polyglucosan bodies. Knockdown of GBE1 led to increased oxygen consumption …