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Spartan Daily, April 21, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 35

Development Of Telenutrition Education And Counseling Protocol To Improve Diet Quality In Individuals With Spinal Cord Injury, Adrianne Widaman, Benjamin Dirlikov, Ramya Gopalan, Shelley Wood, Maria Sol Casas, Kazuko Shem

Faculty Research, Scholarly, and Creative Activity

Background: Cardiometabolic disease (CMD) is a leading cause of death for individuals living with chronic spinal cord injury (SCI), with a mortality rate due to CMD being higher than individuals without SCI. Telenutrition (TN) interventions tailored to health and accessibility needs of individuals with SCI may mitigate cardiometabolic risks. Objectives: To describe the development and validation of a telehealth-based medical nutrition therapy (MNT) within a clinical trial investigating the effectiveness of modifying diets to improve cardiometabolic health in persons with chronic SCI. Methods: The adaptive module-based MNT education content was developed in 3 phases by a multidisciplinary team. The first …

Nightlights For Older Adults: Enhancing Bedroom-To-Bathroom Transitions With Community Resident Feedback, Yue Luo, Aubrey Contreras, Susana Valdivia-Rivas, Yuhao Chen, Boyi Hu

Faculty Research, Scholarly, and Creative Activity

This study aimed to inform nightlight design by analyzing older adults’ subjective feedback and kinematic responses during evening activities. Twenty-seven older adults (mean age: 81 ± 6 years; 14 females) participated in the study. Their preferences for nightlight illuminance and hue were surveyed, and gait and posture adaptations under two illuminance levels were analyzed using spatiotemporal comparisons, principal component analysis (PCA) based analysis, and waveform reconstruction. The results revealed that older adults preferred low illuminance over high illuminance, with warm white and cool colors as the favored choices for evening lighting. Significant differences were observed in spatiotemporal gait variables, particularly …

Generative And Large Language Models For Library Knowledge Graphs, Partha Sarathi Mandal, Sukumar Mandal Dr

Library Philosophy and Practice (e-journal)

Structured Abstract

Purpose - Knowledge graphs play a key role in modern library and information services for information discovery, advanced search, and explainable recommendation systems. Recent progress in generative and large language models (LLMs) is changing. The present paper presents a clear and concise overview of how these models support knowledge graph construction in library and information science.

Design/methodology/approach –This study shows a conceptual and analytical approach. It considers the latest trends in generative models and LLMs as applied to the construction of knowledge graphs. Their application in entity extraction, relation identification, schema mapping, and triple generation on unstructured text …

Ramifications Of Not Digitalising Registries And Records Centres In Civil Service In Zambia, Glenda Ntalasha, Tuesday Bwalya, Chrispin Hamooya, Sututu Imasiku, Kadeyo Mutale Kuyela, Dalitso Mvula, Matilda Mercy Muchinga

Library Philosophy and Practice (e-journal)

Digitalisation of records management among other things, improves access to records and results in efficiency and effectiveness in the functions of an organisation. Because of the potential benefits of digitalisation, several governments globally have automated registries and records centres. However, governments in the Global South, Zambia inclusive have not digitalised the records sub sector. This study investigated the consequences of not digitalising registries and records centres in public service in Zambia. A survey research design was used combining both quantitative and qualitative research techniques. Data was collected from a sample 118 respondents and key informants. Qualitative data was collected through …

Book Review: Hopeful Visions, Practical Actions: Cultural Humility In Library Work Edited By Sarah R. Kostelecky, Lori Townsend, And David A. Hurley, Gina Mik

School of Information Student Research Journal

No abstract provided.

Book Review: Social Justice Design And Implementation In Library And Information Science Edited By Bharat Mehra, Ellie F. Kawada

School of Information Student Research Journal

Social Justice Design and Implementation in Library and Information Science, edited by Bharat Mehra, is an engaging volume that explores the pursuit of social justice in its many forms in the field of Library and Information Science (LIS). The included chapters cover case studies of social justice implementation in library services, theoretical frameworks for subversive methods of research and education, and the future of library advocacy for social justice. While the volume is centered on English-speaking countries and lacks the perspective of paraprofessional library staff, the themes and examples presented in the book are invaluable to any LIS students, professionals, …

Decolonizing The Academic Library: Examining The Successful Indigenization Of Ubc And Unm’S Library Services, Emily T. Villars

School of Information Student Research Journal

This article examines decolonization and indigenization initiatives at two academic libraries: the University of British Columbia (UBC) and the University of New Mexico (UNM). It asks how these institutions have implemented indigenization in their libraries and what lessons can inform broader reconciliation work across North America. Through a comparative lens, it analyzes how national and organizational frameworks, such as the Canadian Federation of Library Associations (CFLA-FCAB) Truth and Reconciliation Report and Recommendations and the American Indian Library Association’s (AILA) organizational goals, can shape these efforts. The study highlights three core strategies: decolonizing access and classification, transforming library spaces, and expanding …

Book Review: Academic Librarian Burnout: Causes And Responses Edited By Christina Holm, Ana Guimaraes, And Nashieli Marcano, Brianna Gaffney

School of Information Student Research Journal

No abstract provided.

A Reflection On Research Limitations And Conclusions, Pearl Kim

School of Information Student Research Journal

No abstract provided.

Letter From The Dean: Research As A Way Of Becoming, Mehrdad Aliasgari

School of Information Student Research Journal

No abstract provided.

Agentic Hallucination Risk Scoring For Medical Llms Via Uncertainty Quantification And Clinical Knowledge Injection, Mayank Kapadia, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Large Language Models (LLMs) have witnessed significant adoption across numerous domains since 2020, but their proclivity to hallucinate creates unacceptable dangers in high-risk environments like healthcare, where wrong outputs can directly jeopardize human safety. While present systems focus on pre-generation mitigation strategies, they cannot ensure the safety of individual outputs during inference. We provide a post hoc Hallucination Risk Scoring (HRS) methodology that intercepts questionable outputs before they reach patients via an agentic pipeline. Given a medical question, a domain-specific LLM generates an initial response from which five complimentary uncertainty signals are computed, which are then separated into a decision …

Records Management Systems Employed By Registries In Zambia: A Case Study Of Selected Departments In Health And Education In Livingstone., Sututu Imasiku

Library Philosophy and Practice (e-journal)

This study investigated the records management systems employed in the education and health sectors in Zambia, with a focus on their role in improving service. Using a mixed-methods triangulation design, data was collected through surveys, interviews, observations from registry users and key informants with a sample size of 150. 100 teachers where purposively sampled from the Education department specifically at the District Education Secretary registry with 5 key informants and 40 from the Livingstone Teaching Hospital registry with 5 key informants. Chi-square t-test and descriptive analysis was used in quantitative data, while thematic analysis was used for qualitative data. The …

An Assessment Of The Effectiveness Of Records Management On Service Delivery. A Case Study Of Ministry Of Local Government And Rural Development In Zambia, 'Pamela Lweendo Hangoma, Kadeyo M. Kuyela, Sututu Imasiku, Adrian Chisale, Glenda Ntalasha, Matilda Mercy Muchinga, Emma M. Ndalameta-Theo, Dalitso Mvula The

Library Philosophy and Practice (e-journal)

This study assessed records management practices and their influence on service delivery in the Ministry of Local Government and Rural Development in Zambia. The study was guided by the Records Continuum Model, which emphasizes the continuous management of records from creation, capture, organization, use, to preservation. The objectives were to examine current records management practices, assess their effect on service delivery, identify challenges, and propose strategies for improvement. A qualitative case study design was adopted, with data collected from 22 participants across 11 departments through face-to-face interviews, and analyzed thematically using content analysis. Findings revealed that records are generated through …

Spartan Daily, April 16, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 34

Spartan Daily, April 15, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 33

Beyond The Stacks: Borrowing Of Immersive Technologies And Smart Eco Systems To Reimagine Libraries., Vuppala Lingaiah

Library Philosophy and Practice (e-journal)

This theoretical Chapter explores the paradigm shift of knowledge access, user experience, and institutional viability through the integration of immersive technologies, such as augmented reality (AR), virtual reality (VR), mixed reality (MR), artificial intelligence (AI), and the Internet of Things (IoT), within the new paradigm of funky libraries, and how these technologies are changing knowledge access, user experiences, and the institutional sustainability of various library environments. Methodology: The research approach is non-empirical and exploratory-conceptual, based on a synthesis of systematic literature, thematic clustering of the existing literature, and theoretical critique of recent peer-reviewed findings. The chapter is based on more …

Spartan Daily, April 14, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 32

Equitable Estimation Of Accurate High Injury Networks (Hins) For Vulnerable Road Users, Anurag Pande, Anandamayee Majumdar, Lucas Roman Kantorowski

Mineta Transportation Institute

To improve traffic safety, communities first need to know where serious crashes are actually happening. High-Injury Networks are designed to identify these locations, but they are usually built using only police-reported crash data. This research asks: Are we missing crashes—and injuries—by relying on police data alone? The research team first demonstrates that data from Emergency Medical Services and those from official databases differ substantially, and neither data set captures the full extent of collisions in a community. Following that analysis, the research team concluded that a new data source may help complete this. Toward that end, the research team scraped …

Exploring The Stress-Strain Relationship Of Lightweight Concrete To Enhance The Lifecycle Performance Of Transportation Highways And Bridges, Fariborz M. Tehrani

Mineta Transportation Institute

Concrete is the primary construction material of bridges, roads, and other transportation infrastructure across the United States, but conventional normal-weight concrete (NWC) is heavy, prone to cracking, and expensive to maintain over time. This study examines the mechanical properties, durability, and lifecycle performance of lightweight aggregate concrete (LWC) and internally cured concrete (ICC) as alternatives in transportation infrastructure applications. Through laboratory testing, computer modeling, and lifecycle analysis, the research evaluates how these materials perform in terms of strength, flexibility, durability, cost, and environmental impact. The results show that LWC and ICC can meet required strength levels while being lighter and …

Results Of The Second Ice Shelf–Ocean Model Intercomparison Project (Isomip+), Claire K. Yung, Xylar S. Asay-Davis, Alistair Adcroft, Christopher Y.S. Bull, Jan De Rydt, Michael S. Dinniman, Benjamin K. Galton-Fenzi, Daniel Goldberg, David E. Gwyther, Robert Hallberg, Matthew Harrison, Tore Hattermann, David M. Holland, Denise Holland, Paul R. Holland, James R. Jordan, Nicolas C. Jourdain, Kazuya Kusahara, Dimitris Menemenlis, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Ocean-driven basal melting of Antarctic ice shelves plays an important role in the mass loss of the Antarctic Ice Sheet. Ice shelf cavity-resolving ocean models are a valuable tool for understanding ice shelf-ocean interactions and for simulating projections of ice shelf and ocean states under future climate. Designed to assess the current state of ice shelf–ocean modelling, the second Ice Shelf–Ocean Model Intercomparison Project, ISOMIP+, consists of 12 ocean model configurations submitted with a common, idealised experimental setup. Here, we focus on the experiments Ocean0–2, which are ocean models with idealised, static ice shelf geometries, but where the ocean reaches …

Challenges Confronting The Use Of School Media Resource Centres In Secondary Schools In Jos North Lga, Plateau State-Nigeria, Ucham James Diyong, Gilbert Paul Igboechesi

Library Philosophy and Practice (e-journal)

Background: This study investigated challenges confronting the use of school media resource centers in secondary schools within the Jos North Local Government Area (LGA) of Plateau State, Nigeria. The research aimed to identify existing obstacles and their impact on student achievement through two research questions and two hypotheses.

Methodology: Utilizing a descriptive survey research design, the study sampled 294 Junior Secondary School (JSS 2) students—selected via simple random sampling—from a total population of 1,178 across four schools. Data were collected using a self-structured, four-point Likert scale questionnaire and analyzed using descriptive statistics (mean and standard deviation).

Findings: Results revealed that …

Spatiotemporal Dynamics Of Daily And Per Capita Vmt In California: A County-Level Analysis (2019–2023), Yong Lao, Bo Yang

Mineta Transportation Institute

Vehicle miles traveled (VMT) is a fundamental metric for assessing mobility trends and infrastructure needs. This study examines the spatial-temporal dynamics of daily VMT (DVMT) and per capita DVMT across California counties from 2019 to 2023, covering the pre-, mid-, and post-pandemic periods via GIS mapping and k-means clustering. To identify determinants of per capita DVMT, we compared traditional linear regression approaches (OLS, Ridge, LASSO, Elastic Net) with ensemble tree-based models. Specific results include: the ensemble models estimated using 2019–2022 data delivered substantially higher accuracy, achieving R² values exceeding 0.98; meanwhile, out-of-sample performance on 2023 data remained robust (R² ≈ …

Association Between Dietary Self-Perception And Sugar-Sweetened Beverage Consumption Among Young Adults Latinas, Mi Zhou, A. Susana Ramirez, Angela Xu, Jacqueline Bergman

Faculty Research, Scholarly, and Creative Activity

Objective: To investigate the relationship between self-perceived overall dietary healthfulness and self-reported sugar-sweetened beverage (SSB) consumption among young adult Latinas, accounting for socioeconomic and acculturation-related factors. Design: Cross-sectional analysis using survey data. SSB intake was assessed using the BEVQ-15, and dietary self-perception was measured via a two-item scale. Multiple linear regression models examined associations between self-perception and total daily SSB intake, adjusting for income, education, and two validated acculturation indicators. Setting: Participants were recruited from a national online panel across the United States. Participants: A total of 881 Latina women aged 18–29 years participated. After removing cases with invalid outcome …

Spartan Daily, April 9, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 31

Preparation And Characterization Of Double-Network Composite Hydrogels With Carboxymethyl Pachymaran In Promoting Wound Healing, Haodong Wu, Xi Feng, Zhinan Mei, Wen Huang, Ying Liu

Faculty Research, Scholarly, and Creative Activity

Utilizing food-derived bioactive polysaccharides in advanced biomedical applications offers significant potential. To effectively harness the inherent bioactivity of Poria cocos, a renowned edible and medicinal fungus, we developed a multifunctional double-network composite hydrogel (CPS) via a feasible one-pot strategy. This was achieved by incorporating functional carboxymethyl pachymaran (CMP) into a matrix of food-grade sodium alginate (SA) and polyacrylamide (PAM). This formulation endows the hydrogel with excellent extensibility, rapid self-healing capabilities, and strong tissue adhesion, all while preserving the biological activity of the natural macromolecules. In a mouse full-thickness skin defect model, the CPS significantly accelerated wound recovery, achieving a healing …

Spartan Daily, April 8, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 30

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 …

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 …

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 …