Digital Commons Network^™

An Llm-Based Agentic Network Traffic Incident-Report Approach Towards Explainable-Ai Network Defense, Chia Hong Chou, Arjun Sudheer, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Traditional intrusion detection systems for IoT networks achieve high classification accuracy but lack interpretability and actionable incident-response capabilities, limiting their operational value in security-critical environments. This paper presents a graph-based multi-agent framework that integrates ensemble machine learning with Large Language Model (LLM)-powered incident report generation via Retrieval-Augmented Generation (RAG). The system employs a three-phase architecture: (1) a lightweight Random Forest binary pre-detection, achieving 99.49% accuracy with a 6 MB model size for edge deployment; (2) ensemble classification combining Multi-Layer Perceptron, Random Forest, and XGBoost with soft voting and SHAP-based feature attribution for explainability; and (3) a ReAct-based summary agent that …

Sjsu Erfa News, Spring 2026, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 39, No 3

Exploring Stakeholder Awareness, Institutional Support, And Implementation Of Co-Design In Higher Education: Challenges And Ai Readiness, Shrikant W. Ramteke

Library Philosophy and Practice (e-journal)

Abstract

Purpose In this paper, the gap between the discussion of co-design in the theory and its application in the higher education practice is identified. By contrasting the level of knowledge that the stakeholders possess regarding co-design, the support that the institutions provide them, and their implementation of co-design in practice, it leaves a few general trends, attitudes, and problems.

Design/methodology/approach We were given a structured survey, which measured composite indices of awareness, institutional support, implementation and AI readiness. The study used non-probability purposive sampling technique since it will address the stakeholders who have firsthand experience in the participatory design …

Library 5.0 And Predictive Intelligence: A Conceptual Literature Review, Shrikant Ramteke

Library Philosophy and Practice (e-journal)

Abstract

Purpose In this paper, the author will explore the nature of predictive intelligence developed in modern libraries as part of the overall progression of libraries toward Library 5.0. It aims to give a conceptual clarity of what predictive services are, how they have been influenced by technology and ethics, and how they fit into existing traditions of librarianship.

Design/methodology/approach This paper utilizes a qualitative, conceptual literature review method as a scholarly inquiry. Approximately 60 peer-reviewed journal articles and institutional reports published after 2018 and before 2025 were purposively sampled from leading databases in library and information science and information …

Artificial Intelligence And Chatgpt In Libraries: A Bibliometric Analysis Of Social Science Research (2022–2026), Shrikant W. Ramteke, Yogesh B. Daphal

Library Philosophy and Practice (e-journal)

Purpose

This paper will map the world of research on artificial intelligence and chatbots in libraries systematically by analysing the trends in publications, intellectual organization, pattern of collaboration, and the way the Social Science literature has evolved with the theme of artificial intelligence and chatbots published between 2022 and 2026.

Design/methodology/approach

We have conducted a thorough bibliometric search where we have considered 7,660 peer-reviewed journal articles found in Scopus database. The collection was compiled according to the PRISMA requirements, and later, both performance-based metrics and science mapping techniques were applied.The whole process of visualisation and analysis was carried out through …

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

Measuring Multimodal Equity In Resource-Challenged Mpos, Christopher Ferrell, David Reinke, John M. Eells

Mineta Transportation Institute

Ensuring transportation investments are equitable across different populations and travel modes is a priority for many agencies, yet existing tools often make these assessments difficult, especially for smaller and resource-constrained organizations. To address this gap, this report provides the findings of Phase II of our study on reviewing and developing transportation equity metrics. The Phase I project investigated transit equity metrics and provided recommendations on advancements in quantitative methods. Building on Phase I recommendations, this study investigates low-cost methods for comparing the equity between auto (roadway) and transit performance or investments for low resource transportation agencies. A literature review revealed …

Clinically Aligned Long-Context Transformers For Cross-Platform Mental Health Risk Detection, Aditya Tekale, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Social media platforms contain rich but noisy narratives of psychological distress, creating opportunities for early mental health risk detection. However, existing datasets capture heterogeneous constructs such as suicide risk severity, depression diagnosis, and DSM-5 symptom presence, and most prior models are trained and evaluated on a single corpus, limiting their clinical alignment and cross-dataset generalizability. In this study, we fine-tune a domain-specific long-document transformer, AIMH/Mental-Longformer-base-4096, for binary mental health risk detection (risk vs. no risk) using two clinically aligned Reddit datasets: the C-SSRS Reddit corpus and the eRisk 2025 depression dataset. To handle long user histories, we introduce an LLM-based …

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

Braiding Epistemologies: A Testimonio Of A Woman Of Color Coach Creating Space In California Community College Athletics, Erika Marie Vargas

Dissertations

This qualitative ethnographic study examined the experiences of one woman of color intercollegiate coach navigating her path to a head coaching position within the California Community College (CCC) system using testimonio. Drawing on interviews with the head coach, her mentor, assistant coach, and a former athlete supported by ethnographic fieldnotes, the study analyzed her experiences through Critical Race Theory, Black Feminist Epistemology, Chicana Feminist Epistemology, and a newly articulated Indigenous Feminist Epistemology centered on relational accountability, embodied knowledge, ancestral grounding, and community responsibility. Findings show that her coaching developed within institutional structures not designed for women of color. She navigated …

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 …

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

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

Spartan Daily, 2026

Volume 166, Issue 23

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 …

Executive And Managerial Insights Into Developing, Launching And Operating An Expansion Sport Franchise, Cole G. Armstrong, Timothy Kellison

Faculty Research, Scholarly, and Creative Activity

Purpose – The purpose of this paper was to investigate the organisational development processes used by the National Hockey League’s most recent expansion club, the Seattle Kraken, during their launch and early operational phases. This paper specifically focuses on the organisational development processes used by upstart sport franchises during periods of environmental turbulence. Design/methodology/approach – The authors conducted semi-structured interviews with seven Seattle Kraken executives and managers involved in the organisation’s development, launch and subsequent operations during the franchise’s first several seasons. Participants included individuals from various functional areas. The empirical material was analysed using reflexive thematic analysis to identify …

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

Spartan Daily, 2026

Volume 166, Issue 21

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 …

Public Perception Of Risk In Missing Persons Investigations, Harry Lockett, Stefana Juncu

International Journal of Missing Persons

The current study investigated public perceptions of risk in missing person cases. A total of 271 participants were sequentially presented with five fictional vignettes describing missing individuals. Each case included a baseline description of the disappearance being "out of character" and four of these cases were paired with an additional risk factor: substance abuse, depression, dementia, or repeat missing status. The gender of the missing person was also manipulated between participants. Participants rated each case using both the standard categorical scale (Low/Medium/High) and an Extended Scale ranging from 1 to 7 and were also invited to respond to exploratory items …

‘‘If It Bleeds, Does It Lead?’: Lived Experiences Of Media Engagement For Families Of Missing Persons., Sarah Wayland Professor, Loren O'Keeffe, Syadani Riyad Fatema, Amy-Louise Byrne Dr, Elizabeth Paton

International Journal of Missing Persons

The media plays an important role in a missing persons case. Media is a powerful tool in raising public awareness and support, traversing police investigation, family liaison, and the business of media. This article reports on a focus group of seven people with a long-term missing family member, and two focus group facilitators, one of whom was also the family member of a missing person (n=9). The aim of the study was to better understand how people, who have lived experience of a family member missing, participate in media opportunities, to understand impact. Thematic analysis generated five major themes 1) …

Spartan Daily, March 4, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 18

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

Spartan Daily, 2026

Volume 166, Issue 17