Digital Commons Network^™

Spartan Daily, February 12, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 10

Music And Dance, Erica Buurman

Faculty Research, Scholarly, and Creative Activity

Vienna’s reputation as the ballroom dancing capital of Europe was already secured by the end of the eighteenth century and continues to this day. This chapter examines the rich history of dance in Vienna from the eighteenth century – the period of the first public ballrooms as well as the emergence of ballet as an independent art form – to the present day. It discusses Viennese ball culture and its iconic dance, the waltz, which is the part of Vienna’s history that has been most influential on wider dance culture, and originated the most recognizably and distinctively ‘Viennese’ musical style.

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

Spartan Daily, 2026

Volume 166, Issue 9

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

Spartan Daily, 2026

Volume 166, Issue 8

Motivating Passion And Purpose In Grade Six Students Through Game-Based Learning, Violet H. Harada, Patricia Louis

Learning Hub

This article examines how a sixth-grade pathways course at Kamehameha Schools in Hawai‘i leveraged Game-Based Learning (GBL) and Indigenous knowledge to foster student agency, creativity, and environmental stewardship. Designed and taught by school librarian Patricia Louis with support from a multidisciplinary instructional team, the Nā Lawai‘a Hawai‘i (Fishing, Hawaiian Style) elective engaged students in researching the ‘Ama‘ama (Hawaiian striped mullet) and the ecological challenges it faces, then translating their learning into the design of a board game, ‘Ama‘ama Escape. Grounded in constructivist, learning-by-making principles, the course guided students through an iterative design process that included inquiry, collaboration, prototyping, and playtesting. …

Spartan Daily, February 5, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 7

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

Spartan Daily, 2026

Volume 166, Issue 6

Best Practices In Virginia School Libraries, Audrey P. Church, Karla B. Collins, Carl A. Harvey Ii, Sheree Garrett

Learning Hub

The National School Library Standards for Learners, School Librarians, and School Libraries (AASL, 2018b) indicate that school librarians should function as teachers, instructional partners, information specialists, leaders, and program administrators, and numerous studies document the important role that the school librarian plays in the teaching and learning taking place in the school (Lance & Kachel, 2018). Strong school librarians positively impact student learning. The purpose of this qualitative study was to identify, explore, and describe traits and activities of award-winning school librarians in Virginia. Data collected from 18 participants through semi- structured interviews identified the common traits of leader, communicator, …

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

Spartan Daily, 2026

Volume 166, Issue 5

A Hydrogen Hub Blueprint For The California Supply Chain, Tyler Reeb, Barbara Taylor

Mineta Transportation Institute

As global climate targets tighten and state regulations accelerate, hydrogen technology presents a significant opportunity to help California supply chain and transportation stakeholders comply with state emissions mandates and global goals aimed to reduce the impacts of climate change. However, while fuel cell costs and infrastructure have received attention, workforce development remains overlooked. Hydrogen fuel cell electric vehicles (FCEVs) are especially promising for diesel-reliant sectors that are hard to decarbonize without negatively impacting operational efficiency. But scaling hydrogen vehicles and infrastructure in tandem with emerging consumer and industrial markets will not be easy. State and federal policies, often conflicting, further …

Chronic Sleep Restriction Induces Oculomotor Impairment With Inadequate Compensation, Erin E. Flynn-Evans, Terence L. Tyson, Gregory Costedoat, Sean Pradhan, Leland S. Stone

Faculty Research, Scholarly, and Creative Activity

Study Objectives Chronic sleep loss is widespread and can cause deficits in vigilant attention. There are few practical biomarkers that can be used to assess the impact of chronic sleep loss on alertness and performance. Those that are available, such as tests of vigilant attention, cannot discriminate chronic sleep loss from other impairments, like alcohol intoxication, limiting the use of such tools. We aimed to test whether a suite of behavioral oculometrics would be sensitive, and perhaps specific, to chronic sleep restriction (CSR). Methods We conducted a randomized, counterbalanced, cross-over study to compare behavioral oculometrics following a week of 5 …

Spartan Daily, January 29, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 4

Spartan Daily, January 28, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 3

Spartan Daily, January 27, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 2

A Constructive-Engaging Analysis Of Descarrtes (European) And Oyeshile (African) On Personhood, Olanrewaju Shitta-Bey

Comparative Philosophy

An examination of the nature of the human person provides a crucial foundation for understanding human life and identity. Conceptions of personhood have far-reaching implications beyond philosophy, influencing politics, ethics, religion, and epistemology. Beliefs about what constitutes a person shapes theories of rights, responsibility, and justice; moral views on duty and accountability; religious understandings of the soul and the afterlife; and epistemological reflections on the sources and limits of knowledge. Inquiry into human nature is therefore not merely abstract, but central to understanding social organization and individual conduct. This paper examines two influential accounts of human nature drawn from distinct …

A Critique Of Ziporyn’S Interpretation Of Early Chinese Thought: From The Constructive-Engagement Vantage Point, Xiaoqiao Liu

Comparative Philosophy

Sameness and difference are among the most fundamental and yet most tension-laden categories in philosophy, bearing directly on the conditions under which judgment, classification, and meaning become possible. This article critically reconstructs and compares two influential but methodologically divergent approaches to this issue in contemporary comparative philosophy. One is Brook Ziporyn’s idea of coherence, which seeks to articulate a non-substantialist metaphysics as a response to tensions internal to the Western metaphysical tradition. The other is Bo Mou’s enhanced account of relative identity, which revises both absolute and modern relative identity theories through a bottom-up, semantically grounded framework oriented toward cross-tradition …

Father Knows Best? Not Here: Metaphors Of Kinship And Kingship In Haudenosaunee, Aristotelian, And Confucian Political Thought, Ian Kalman

Comparative Philosophy

The notion that the organization of large-scale social structures are rooted in domestic ones has a longstanding history in both Chinese and Greek classical political philosophy. Aristotle and Confucius independently reasoned that a good family, one with a strong father, mapped onto a good state, one with a strong king - though they differed on the details. While there is a strong literature juxtaposing these two titans, less attention has been paid to how their ideas compare with other philosophical traditions. This article provides an anthropological intervention to the comparative study of Confucius and Aristotle – while both autonomously argued …

The Coherence Of Navayāna Pragmatism: Ambedkar And The Pragmatist Reconstruction Of Buddhist Philosophy, Danish Hamid

Comparative Philosophy

This paper examines the philosophical coherence of B.R. Ambedkar’s reconstruction of his (Navayāna) Buddhism in relation to John Dewey’s pragmatism. Building on Scott Stroud’s reading of Ambedkar as a Deweyan Pragmatist (2017, 2023), it argues that Dewey’s evolutionary naturalism, his conception of growth, and pragmatic redefinition of concepts provide Ambedkar with the methodological tools for a naturalistic and socially reconstructive reinterpretation of Buddhist doctrines such as anicca (impermanence), dhamma (Buddha’s teaching), nirvāṇa (enlightenment), karuna (compassion), etc. Ambedkar transforms impermanence from a metaphysics of flux into an ethics of progressive growth, and recasts dhamma as a social morality grounded in fraternity …

Challenging The Double-Negation Principle: An Analysis Of Strategic Theories Of Sun Zi, Carnot, And Clausewitz Through Intuitionist Logic, Antonino Drago

Comparative Philosophy

To study a subject similarly represented in Eastern and Western cultures, I examine some classical theories of war strategy according to a new analytical method. This method is based on the recognition that the most important strategic theories are organized as theories essentially not deduced from axioms according to classical logic. Such theories reason through doubly negated propositions (DNPs), whose meanings differ from those of their affirmative counterparts. This corresponds to the use of intuitionist logic instead of classical logic. An inspection of the works of the texts of Sun Zi, Lazare Carnot, and Clausewitz reveals many such propositions, and …

Sjsu Erfa Board Minutes, November 3, 2025, San Jose State University, Emeritus And Retired Faculty Association

SJSU ERFA Minutes

SJSU ERFA Executive Board Minutes

November 3, 2025

Spartan Daily, January 22, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 1

The Effect Of Fluorides In The Tio2(B) Anode On The Hydrogen Evolution Reaction In Aqueous Electrolytes, Khoi-Nguyen Nguyen, Lam Hoang Nguyen, Jozel John Salvacion, Nam Huu Nhat Nguyen, Samuel Ming Tuk Yeung, Seung Woo Lee, Liat Rosenfeld, Chengyu Song, Dahyun Oh

Faculty Research, Scholarly, and Creative Activity

For aqueous lithium-ion batteries (A-LIBs), the hydrogen evolution reaction (HER) poses a significant challenge, as it competes with the primary electrochemical processes of the anode, resulting in capacity loss and reduced cycling stability. In this study, we investigate the use of fluorine-based additives in anodes to mitigate HER in LIBs with aqueous electrolytes including low or high amounts of salt (water-in-salt electrolytes (WiSE)). We synthesized and incorporated three distinct materials into TiO2(B) anodes: aluminum fluoride (AlF3), lithium fluoride (LiF), and 1H,1H,2H, 2H-perfluorooctyltriethoxysilane (FAS) using a solution-based method. Among these fluorides containing composite anodes, FAS containing anodes delayed HER onset potentials …

Hybridsense-Llm: A Structured Multimodal Framework For Large-Language-Model–Based Wellness Prediction From Wearable Sensors With Contextual Self-Reports, Cheng Huan Yu, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Wearable sensors generate continuous physiological and behavioral data at a population scale, yet wellness prediction remains limited by noisy measurements, irregular sampling, and subjective outcomes. We introduce HybridSense, a unified framework that integrates raw wearable signals and their statistical descriptors with large language model–based reasoning to produce accurate and interpretable estimates of stress, fatigue, readiness, and sleep quality. Using the PMData dataset, minute-level heart rate and activity logs are transformed into daily statistical features, whose relevance is ranked using a Random Forest model. These features, together with short waveform segments, are embedded into structured prompts and evaluated across seven prompting …

Codegen-3d: A Benchmark For Evaluating Llms In Zero-Shot And Iterative 3d Modeling In Blender, Hao Ji, Kotha Aditya, Sebastian Escalante, Yunjian Qiu

Faculty Research, Scholarly, and Creative Activity

Large Language Models (LLMs) that generate executable code are opening a new path to text-to-3D by converting natural language prompts into scripts for modeling software like Blender. However, there is a lack of evaluation for such methods currently. Existing benchmarks focus on direct mesh synthesis and overlook critical factors like code execution reliability and human-aligned quality. To address this gap, we introduce CodeGen-3D, a comprehensive benchmark and protocol for assessing 3D modeling via code generation. The benchmark consists of 100 diverse prompts derived from Objaverse with rich captions (Cap3D, DiffuRank, and Llama-based), a standardized Blender execution and six-view rendering pipeline, …

Only One Percent Of Important Shark And Ray Areas In The Western Indian Ocean Are Fully Protected From Fishing Pressure, Jesse E.M. Cochran, Ryan Charles, Andrew J. Temple, Peter M. Kyne, Emiliano García-Rodríguez, Adriana Gonzalez-Pestana, Amanda Batlle-Morera, Théophile L. Mouton, Asia O. Armstrong, Christoph A. Rohner, Darren J. Coker, Royale S. Hardenstine, Alexander Kattan, Ashlie J. Mcivor, Viktor Nunes Peinemann, Kaitlyn A. O'Toole, Lea Palm, Eloise B. Richardson, David A. Ebert, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

The Western Indian Ocean (WIO) is known for its high diversity of chondrichthyans (sharks, rays, and chimaeras). However, intense fishing pressure has led to severe population declines and local extinctions of several species. The Important Shark and Ray Area (ISRA) process is a collaborative, evidence-based approach used to identify critical habitat for chondrichthyans. We analysed ISRAs across the WIO to quantify the diversity of research methods used to identify them, evaluate spatial overlap with designated marine protected areas (MPAs), model the influence of several species- and jurisdiction-specific variables on ISRA delineation, and explore the importance of incorporating unpublished data into …

Generative Algorithms For Wildfire Progression Reconstruction From Multi-Modal Satellite Active Fire Measurements And Terrain Height, Bryan Shaddy, Brianna Binder, Agnimitra Dasgupta, Haitong Qin, James Haley, Angel Farguell, Kyle Hilburn, Derek V. Mallia, Adam Kochanski, Jan Mandel, Assad A. Oberai

Faculty Research, Scholarly, and Creative Activity

Highlights: What are the main findings? Conditional generative algorithms trained on simulations of historic wildfires may be used to effectively reconstruct the early-time progression of wildfires given satellite active fire measurements and terrain height data. When applied to real wildfires, generated fire progression estimates compare favorably to ground-truth high resolution infrared perimeters measured via aircraft, with the ability to gather additional information about model uncertainty from generated samples. What are the implications of the main findings? Once obtained, fire progression estimates may be used to perform data assimilation, wherein the estimated fire state is used to initialize subsequent wildfire spread …

Ga2o3 Tcad Mobility Parameter Calibration Using Simulation Augmented Machine Learning With Physics-Informed Neural Network, Edric Khai Jieh Ong, Le Minh Long Nguyen, Matthew Eng, Yuhao Zhang, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

In this article, we demonstrate the feasibility of performing automatic technology computer-aideddesign (TCAD) parameter calibration and extraction using machine learning (ML), with the machine trained solely by TCAD-simulation data. The methodology is validated using experimental data. Schottky barrier diodes (SBDs) with different effective anode workfunctions (WF) are fabricated with emerging ultrawide bandgap material, Gallium Oxide (Ga2O3), and are measured at various temperatures (T). Their current-voltage (I–V) curves are used for automatic Ga2O3 Philips unified mobility (PhuMob) model parameters calibration. Five critical PhuMob parameters (µmax, µmin, Nref, α, and θ) were calibrated. The machine consists of an autoencoder (AE) and a …

A Recurrent Neural Network For Forecasting Dead Fuel Moisture Content With Inputs From Numerical Weather Models, Jonathon Hirschi, Jan Mandel, Kyle Hilburn, Angel Farguell

Faculty Research, Scholarly, and Creative Activity

This paper proposes a recurrent neural network (RNN) model of dead 10 h fuel moisture content (FMC) for real-time forecasting. Weather inputs to the RNN are forecasts from the High-Resolution Rapid Refresh (HRRR), a numerical weather model. Geographic predictors include longitude, latitude, and elevation. Forecast accuracy is estimated in a study that utilizes a spatiotemporal cross-validation scheme. The RNN is trained on HRRR forecasts and observed FMC from weather station sensors within the Rocky Mountain region in 2023, then used to forecast FMC at new locations for all of 2024. The model is evaluated using a 48 h forecast window. …

Investigating Ui Based And Ai Based Interactions In Vr Environments For Human Anatomy Education, Siddharth Sondhi

Master's Projects

Traditional approaches to learning and simulation often struggle to convey the complexity of three dimensional structures. In anatomy education, methods such as textbooks, lectures, and cadaver based learning are used, but can make it difficult to understand the complex structure of organs within the human body. Virtual Reality (VR) offers a promising alternative by providing immersive and interactive 3D environments that allow users to explore and manipulate anatomical structures more intuitively. These environments can be further enhanced by integrating large language models (LLMs) as intelligent agents capable of guiding users through natural language interaction. This project presents a Unity-based VR …

Adaptive Real-Time Fraud Detection Using Online Learning And Explicit Concept-Drift Detection, Purva Govind Tugaonkar

Master's Projects

Real-time credit card fraud detection faces challenges such as extreme class imbalance, delayed feedback, and concept drift in transaction streams. This project implements and evaluates an adaptive streaming fraud detection framework based on three methodologies: (1) online learning with incremental updates, (2) explicit conceptdrift detection using statistical monitoring, and (3) separate models for immediate and delayed supervision, combined with cost-sensitive learning and anomaly detection. The system processes the credit card fraud dataset in a batched streaming fashion, uses multiple online learners and ensembles. Experiments show that online, driftaware models maintain high recall on frauds while controlling false positives under imbalanced …