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Articles 271 - 300 of 27402
Full-Text Articles in Entire DC Network
Exploring The Landscape Of Indian Library And Information Science Journals: A Bibliometric Perspective On Publication Productivity And Authorship Patterns, Shiva Kumara S U, Sampath Kumar Bt
Exploring The Landscape Of Indian Library And Information Science Journals: A Bibliometric Perspective On Publication Productivity And Authorship Patterns, Shiva Kumara S U, Sampath Kumar Bt
Library Philosophy and Practice (e-journal)
The present study aims to ascertain the publication productivity, authorship patterns, and the Degree of collaboration in two Indian Library and Information Science (LIS) journals. The related data was extracted from two LIS journals viz., “Annals of Library and Information Studies” (ALIS) and “DESIDOC Journal of Library & Information Technology” (DJLIT). The study findings show that there is a gradual decline in the number of publications published in both journals from 2015 to 2022. It is also noticed that collaborative research is on the rise in LIS literature and two-authored papers are the most common. The average degree of collaboration …
Audio Based Intelligence For Smart Autonomous Vehicles Using Deep Reinforcement Learning, Sweekruthi Balivada, Mansi Sanjaybhai Tanna, Meera Alpesh Dhedia, Jane Wu, Jerry Gao
Audio Based Intelligence For Smart Autonomous Vehicles Using Deep Reinforcement Learning, Sweekruthi Balivada, Mansi Sanjaybhai Tanna, Meera Alpesh Dhedia, Jane Wu, Jerry Gao
Faculty Research, Scholarly, and Creative Activity
Efficient Advancements in intelligent transportation systems increasingly demand multimodal sensing frameworks capable of operating reliably under noisy, unpredictable real-world conditions. This research presents a Smart Car Audio Intelligence framework that leverages Machine Learn- ing (ML) and Reinforcement Learning (RL) to enhance real-time vehicle perception, safety, and situational awareness. Unlike traditional single-modality or static audio models, our approach integrates four specialized submodules - Emergency, Alert, Environmental/Human sounds, and Accident detection models which are each optimized through a combination of Transformer, CLAP, and CRNN architectures, augmented with adaptive RL agents. The ML models achieved strong baseline performance across all categories, with up …
Spartan Daily, April 7, 2026, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, April 7, 2026, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2026
Volume 166, Issue 29
An Llm-Based Agentic Network Traffic Incident-Report Approach Towards Explainable-Ai Network Defense, Chia Hong Chou, Arjun Sudheer, Younghee Park
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 …
Simulations Of A High Ozone Episode And Heatwave Day Using A Coupled Multi-Layer Urban Canopy And Chemistry Model, H. Gamarro, W. M. Angevine, B. C. Mcdonald, R. Bornstein, P. Ramamurthy, F. Moshary, L. M. Judd, J. E. González-Cruz
Simulations Of A High Ozone Episode And Heatwave Day Using A Coupled Multi-Layer Urban Canopy And Chemistry Model, H. Gamarro, W. M. Angevine, B. C. Mcdonald, R. Bornstein, P. Ramamurthy, F. Moshary, L. M. Judd, J. E. González-Cruz
Faculty Research, Scholarly, and Creative Activity
Coastal cities face critical challenges in managing ozone pollution because of high population density and complex interactions between urbanization and coastal meteorology. Using New York City (NYC) as a case study, this work examines how urban surfaces influence heatwaves, sea-breeze circulations, and boundary-layer dynamics, and how these processes shape nitrogen dioxide ((Formula presented.)) distributions and ozone formation. Observations from the 2018 Long Island Sound Tropospheric Ozone Study (LISTOS), collected with an airborne high-resolution ultraviolet–visible spectrometer, provide tropospheric (Formula presented.) column densities for evaluating the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) in multiple urban canopy configurations. Results show …
Big Data Research In Library And Information Science: A Bibliometric Analysis In India, Dr. Prafulla Kumar Mahanta
Big Data Research In Library And Information Science: A Bibliometric Analysis In India, Dr. Prafulla Kumar Mahanta
Library Philosophy and Practice (e-journal)
Big Data can be defined as high-volume, high-velocity, and high-variety information assets that demand cost-effective, innovative forms of information processing for improved insight and decision-making. Library and Information Centres generate and manage vast amounts of data through digital catalogs, circulation systems, user queries, and digital repositories. The main purpose of the study is to analyze big data research in Library and Information Science in India from 2015 to 2024. It conducted a quantitative analysis using the Bibliometrix tool on scientific production indexed in the Scopus database. A total of 1639 documents were retrieved and exported in CSV format. MS Office …
Oceanographic Drivers Of Interannual Habitat Use In Breeding Rhinoceros Auklets (Cerorhinca Monocerata), Cole H. Wan Jower, Bradley P. Wilkinson, Pete Warzybok, Mike Johns, Russell W. Bradley, Jaime Jahncke, Scott A. Shaffer
Oceanographic Drivers Of Interannual Habitat Use In Breeding Rhinoceros Auklets (Cerorhinca Monocerata), Cole H. Wan Jower, Bradley P. Wilkinson, Pete Warzybok, Mike Johns, Russell W. Bradley, Jaime Jahncke, Scott A. Shaffer
Faculty Research, Scholarly, and Creative Activity
Seabirds exhibit flexibility in foraging distributions in response to changes in the marine environment and prey availability. From 2015 to 2019, we studied foraging distributions and behaviors of chick-rearing rhinoceros auklets (Cerorhinca monocerata, n = 42; 6–12 bird per year) on Southeast Farallon Island using GPS loggers and time depth recorders (2018 and 2019 only). We hypothesized that auklets would adjust their foraging behavior in response to interannual oceanographic variability, predicting that auklets would exploit shelf break habitats under stable conditions but shift their foraging distributions and increase foraging effort in years with anomalous conditions. Surface water conditions varied significantly …
Is Nostalgia The Hidden Mechanic Of Mmorpgs?, Zoee Sowders
Is Nostalgia The Hidden Mechanic Of Mmorpgs?, Zoee Sowders
ART 108: Introduction to Games Studies
Since the advent of online gaming, MMORPG video games have allowed players to socialize and collaborate within the bounds of a virtual world. For many, these online worlds were an escape from their daily lives, a place where they could meet people with similar interests and embark on adventures impossible in real life.1 While many of the early MMORPG games faded into obscurity after the genre lost its shiny new sparkle, there are still a handful today that maintain player counts in the millions even after nearly two decades of operation. Specifically, World of Warcraft, Runescape, and Final Fantasy XIV …
Sjsu Erfa News, Spring 2026, San Jose State University, Emeritus And Retired Faculty Association
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
Rosetta-Xai: An Automated Evaluation And Explainability Framework For Code Translation Models, Vishnu S. Pendyala, Neha Bais Thakur
Rosetta-Xai: An Automated Evaluation And Explainability Framework For Code Translation Models, Vishnu S. Pendyala, Neha Bais Thakur
Faculty Research, Scholarly, and Creative Activity
This paper presents Rosetta-XAI, a comprehensive software framework for evaluating and explaining Large Language Model (LLM) behavior in cross-language code conversion tasks. The system implements a four-stage automated pipeline: (1) code generation by LLMs accessed through the Ollama API inference service, (2) regex-based extraction of code blocks from markdown responses, (3) language-specific syntax and compilation validation with temporary artifact management, and (4) execution with timeout protections and CSV-based checkpoint recovery. The framework supports evaluation of 15 specialized code LLMs (1.3B–34B parameters), including DeepSeek Coder, Code Llama, CodeGemma, and Granite Code across 17 Rosetta Code programming tasks, generating 42 bidirectional conversion …
Library 5.0 And Predictive Intelligence: A Conceptual Literature Review, Shrikant Ramteke
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
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 …
Exploring Stakeholder Awareness, Institutional Support, And Implementation Of Co-Design In Higher Education: Challenges And Ai Readiness, Shrikant W. Ramteke
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 …
Academic Libraries As A Platform For Indigenous And Agricultural Knowledge Sharing In Rural Communities: A Conceptual And Review-Based Approach, Jenifer Yesmin Laskar, Pradip Kumar Singha
Academic Libraries As A Platform For Indigenous And Agricultural Knowledge Sharing In Rural Communities: A Conceptual And Review-Based Approach, Jenifer Yesmin Laskar, Pradip Kumar Singha
Library Philosophy and Practice (e-journal)
Agriculture and traditional knowledge are the roots of rural economy, particularly in biologically sensitive areas with diverse cultures. Preserving traditional knowledge in terms of local farming practices is an activity that is generally associated with cultural practices in these areas. The potentiality of academic libraries in terms of bridging roles for dissemination, curation, and sharing of Indigenous knowledge as well as Agriculture knowledge in the respective areas remains largely overlooked. It is an attempt to explore, indicate, and address through the theoretical approaches based upon an understanding of library science concepts, Indigenous studies, community development, sustainability studies, the roles of …
Knowledge Creation And Information Sharing Through Open Education Resources, Dr. Sankar P
Knowledge Creation And Information Sharing Through Open Education Resources, Dr. Sankar P
Library Philosophy and Practice (e-journal)
Open Educational Resources (OER) are materials that anyone can use for studying, teaching, and learning because they are free to use and share. Textbooks, courses, multimedia, software, and tests are all examples of these resources. This way, everyone can get a good education, no matter where they live or how much money they have. Open Educational Resources (OER) make it easier for people all over the world to share and work on educational materials. This makes information available to more people and lowers the cost of materials. Programs like MIT OpenCourseWare make it possible for people to get free textbooks …
Reconstruction Of Information System Acceptance Model In The Era Of Integrated Artificial Intelligence: A Systematic Literature Review, Ilham, Merlin Apriliyanti
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
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
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, 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, 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, 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
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 …
Cycling Past 50: A Closer Look Into The World Of Older Cyclists, Year 5 Survey, Carol Kachadoorian
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. …
Beyond Technical Performance: Preliminary Findings On Algorithm Aversion In Digital Library Environments, Hengyi Fu, Fenfang Cao
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, 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, 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, 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
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 …
Spartan Daily, March 12, 2026, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 12, 2026, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2026
Volume 166, Issue 22
From Protocol To Action: Critical Perspectives On Earthquake Preparedness In Mexico, Sandra Vaiciulyte, David A. Novelo-Casanova, Thalia Anagnos, Gerardo Suárez
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 …