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

Spartan Daily, 2026

Volume 167, Issue 9

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

Spartan Daily, 2026

Volume 167, Issue 07

An Enduring Mission, Expanding Responsibilities: Reexamining Educating Students To Think Forty Years Later, Victoria Therriault

Learning Hub

This article reexamines the role of school librarians forty years after the publication of Educating Students to Think. It argues that the central mission of school librarianship, helping students locate, evaluate, synthesize, and use information thoughtfully, has remained consistent while librarians’ responsibilities have expanded. The article connects this mission to contemporary practices including inquiry learning, instructional collaboration, digital and media literacy, AI literacy, digital citizenship, equitable access, and instructional leadership. It also presents an updated framework and practical strategies for applying these responsibilities in modern school library programs.

Dynamic Flood Risk Assessment For Transportation Infrastructure In Fresno, Ca, Yushin Ahn, Fayzul Pasha

Mineta Transportation Institute

Urban roadway flooding in flat metropolitan environments often shows up as small areas of standing water rather than large, flowing floods. In low-gradient urban environments, subtle micro-topographic features—such as pavement crowns, curbs, and localized depressions—often control where surface water accumulates following rainfall. Accurately identifying these localized ponding areas is important for roadway flood screening and infrastructure management. This study develops a LiDAR-based depression mapping framework to identify roadway segments susceptible to surface ponding in flat urban environments. High-resolution airborne LiDAR datasets were used to generate detailed elevation maps (down to less than a foot in resolution) from ground-classified point clouds …

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

Spartan Daily, 2026

Volume 167, Issue 04

Advancing Clean Mobility: Hydrogen Fuel Cell Electric Bus Workforce Development For Transit Agencies, Manideep Tummalapudi, Shantanu Kumar, Jaskaran Singh

Mineta Transportation Institute

Hydrogen fuel cell electric buses (FCEBs) are rapidly transforming public transportation in the United States. However, while transit agencies are investing heavily in new zero-emission vehicles and fueling infrastructure, far less attention has been paid to the workforce needed to operate and maintain them. As agencies accelerate toward ambitious climate and fleet transition goals, they are also confronting a critical challenge: preparing workers for an entirely new set of technologies, safety requirements, and operational demands. This study addresses that gap by systematically identifying the knowledge, skills, and abilities (KSAs) required for FCEB vehicle operators and maintenance technicians, assessing current training …

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

Spartan Daily, 2026

Volume 167, Issue 03

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

Spartan Daily, 2026

Volume 167, Issue 02

Pushed To The Edges? Electivity Patterns Of Urban Stream Homeless Encampments In Environmentally Burdened Areas, Serena Alexander, Bennett Williamson, Jeff Wootton, Costanza Rampini, Gregory Brian Pasternack, Yufang Jin, Rune Storesund, Igor Lacan

Faculty Research, Scholarly, and Creative Activity

Urban stream corridors in the San Francisco Bay Area have increasingly become locations for homeless encampments, yet little is known about the environmental conditions of these spaces. This study uses a geospatial electivity index to examine whether urban stream encampments in Santa Clara and Contra Costa counties are disproportionately located in census tracts with high pollution burdens, as measured by CalEnviroScreen 4.0. Findings show a statistically significant overrepresentation of encampments in census tracts in the top 25% of pollution and vulnerability scores, and a significant underrepresentation in lower-pollution areas. These results suggest that homeless individuals are being pushed toward environmentally …

Wildfire Risk & Preparedness For Urban Rail Operators Supporting Large Stadium Events, Karl Kim, Eric Yamashita, Daniele Spirandeli, David Rother

Mineta Transportation Institute

The project team, in collaboration with partners and stakeholders, developed a four-hour training course designed to build a foundational understanding of how wildfire hazards affect rail systems infrastructure operations and how this knowledge can help equip urban rail operators with tools and best practices for proactive risk management. Led by the University of Hawaiʻi and the National Disaster Preparedness Training Center, in partnership with Haley & Aldrich, Inc., this technical report presents an overview of the four modules and scenario planning exercise that together make up the four-hour Wildfire Risk & Preparedness for Urban Rail Operators Supporting Large Stadium Events …

Enhancing Wildfire Resilience In The Rail Industry: Developing A Community Resilience Extreme Events Portal (Creep), Karl Kim, Eric Yamashita, Daniele Spirandeli, David Rother, Chris Chiesa, Greg Hampe, Michele Toner

Mineta Transportation Institute

The Community Resilience Extreme Events Portal (CREEP) provides a centralized platform for accessing wildfire danger indices, critical asset locations, and vulnerability scores for rail segments. The project team developed a data-driven, indicator-based vulnerability assessment framework that defines vulnerability as a function of exposure, sensitivity, and adaptive capacity. To build this framework, the team selected publicly available datasets, prioritizing national datasets whenever possible to ensure transparency, reproducibility, and scalability. The portal allows users to analyze and visualize vulnerability across 1-kilometer segments of Class I freight and passenger rail lines in California, supporting planning and mitigation prioritization to help reduce rail-related fatalities, …

Helically Flexible Boron-Dipyrromethenes For Solution-Processed Isotropic Films With Preserved Chiral Exciton Coupling, Carolina Díaz-Norambuena, Juan Manuel Moreno-Naranjo, David Reger, Giuliano Siligardi, César Ray, Jessica Colligan, Florencio Moreno, Beatriz L. Maroto, Gilles Muller, Jorge Bañuelos, Matthew J. Fuchter, Santiago De La Moya

Faculty Research, Scholarly, and Creative Activity

Chiral organic thin films are emerging as key materials in advanced optoelectronic and chiroptical technologies, where the straightforward, solution-processed fabrication of chiroptically active neat films from small π-conjugated helical molecules is highly desirable for sustainable and scalable device integration. However, in such densely packed systems, the intrinsic chiroptical response is often compromised by macroscopic anisotropies (e.g., linear dichroism and birefringence) and aggregation-induced effects, which obscure genuine molecular signatures and induce or alter chiral exciton coupling. Here, we demonstrate that a readily accessible and conformationally flexible helically chiral boron-dipyrromethene dimer (helicoBODIPY) platform enables the reproducible fabrication of robust solution-processed neat thin …

Why Minds Need Bodies: Organismic Unity And Limits Of Artificial Consciousness, Renée Snow

Comparative Philosophy

This paper argues that functional organization alone is not sufficient for phenomenal consciousness or the existence of a unified subject of experience. While many contemporary accounts of artificial consciousness assume that replicating the causal or computational structure of the brain would be sufficient for subjective experience, this paper identifies a deeper constraint: consciousness depends on organismic unity. The argument proceeds through a triangulation of conceptual, empirical, and metaphysical considerations. First, Zuboff’s thought experiment shows that functional organization can be preserved while the unity of the subject dissolves, suggesting that causal pattern replication alone cannot secure subjectivity. Second, findings from neuroscience …

The Aste-Bgc Data-Assimilative Regional Ocean Biogeochemical Model, L. A. Moseley, G. A. Mckinley, D. Carroll, D. Menemenlis, R. Dussin, A. T. Nguyen

Faculty Research, Scholarly, and Creative Activity

We present a data-assimilative regional ocean biogeochemical model, ASTE-BGC, which simulates the physical and biogeochemical state of the North Atlantic Ocean from 2002 to 2017. Model physics are provided by a physical state estimate (ASTE), which assimilates O(10⁹) in situ and satellite-based observations over the model domain and time period. Model biogeochemistry is simulated by a medium-complexity biogeochemical module (BLING), which simulates nine prognostic biogeochemical tracers and three ecological classes. Through a three-step optimization process which combines informal adjustments and formal mathematical optimization, we minimize model-data misfit between a “spun-up” simulated biogeochemical state and O(10⁵) BGC-Argo …

The Use Of Foamed Glass Aggregate (Fga) As A Lightweight Fill Above Culverts, Amr Morsy

Mineta Transportation Institute

Transportation infrastructure—including buried utilities, drainage systems, and culverts—is frequently subjected to significant external stresses arising from existing conditions and new construction, especially in urban environments where deformation and failures can lead to significant operational and safety consequences. Lightweight fills offer a viable strategy to mitigate these stresses by reducing imposed loads. This study investigates the use of lightweight fills, specifically Foamed Glass Aggregate (FGA), as a sustainable solution to support California Senate Bill 1 (SB1) efforts to repair and maintain culverts, as well as for new construction applications. A numerical investigation was conducted to evaluate the performance of culverts backfilled …

Mind The Gap: Freight And Rail System Resilience Between Planning And Practice A Synthesis Of Freight Plan Best Practices And Survey Results From U.S. Transportation Professionals, Serena Alexander, Carmella Uwineza

Mineta Transportation Institute

Freight and rail networks across the United States face mounting risks from weather-related hazards and other systemic disruptions that threaten operational continuity, economic stability, and community well-being. While state freight plans are federally mandated, local and metropolitan freight planning varies widely, leaving gaps in how resilience is addressed across scales. This study examines how resilience is being integrated into freight and rail planning through a two-part approach: (1) a content analysis of 43 recent state and metropolitan freight plans, and (2) a nationwide survey of 56 transportation professionals engaged in freight and rail planning. Findings show broad consensus on the …

Automated Battery Management Systems For Electric Vehicles, Woonki Na, Yuanyuan Xie

Mineta Transportation Institute

Electric vehicle (EV) safety, efficiency, and lifetime are strongly influenced by how well battery cells are managed, and as EV adoption accelerates, improving battery performance has become critical to vehicle reliability, cost, and public trust. This report conducts a field study on the core technologies and challenges in Battery Management Systems (BMS), focusing on the classification of BMS circuit topologies (design/structures) and systematically reviewing different topologies of active cell balancing circuits (systems that move energy from stronger battery cells to weaker ones). The study provides a detailed analysis of the working principles, advantages, and disadvantages of various active balancing circuit …

Role Of Libraries In Promoting Sustainable Development: A Thematic Literature Review, Ayushi Soni, Dr. Ritu Singh

Library Philosophy and Practice (e-journal)

Sustainable development is a priority worldwide and is driving institutions in different sectors to be environmentally, socially and economically responsible. Libraries have also taken action on the topic of sustainability, including greening, sustainable service, digital transformation and support for Sustainable Development Goals (SDGs). The library's contribution to Sustainable Development is explored in this study by reviewing the literature on the topic from 2020 to 2025. Scholarly databases were searched for literature and analysed to find key trends and themes on sustainability in libraries. Five thematic areas were identified during the review process: Sustainable resources and services, Sustainable library practices, ICT …

Computer Self-Efficacy As Predictor Of Electronic Information Resources Use By Academic Staff Of Selected Polytechnics In South-West, Nigeria., Temitope Adeleke Osisanwo Dr, Yemisi Tomisin Babalola Prof

Library Philosophy and Practice (e-journal)

Electronic information resources have become a significant portion of library resources available to academic staff for teaching and research purposes. However, studies suggest that their use has not been fully optimized by academic staff at polytechnics located within South-West, Nigeria. This could be attributed to the low level of self-effectiveness of technology among the academic staffs. In light of this, this study aimed to examine the relationship between computer self-efficacy and the usage of electronic information resources among polytechnics academic staff in South-West, Nigeria.

A survey research design was used for this study, while 3,807 academic staff members were selected …

Machine Learning Pipeline For Tcga-Luad Clinical Outcome Prediction, Cassandra Tellez, Maryam Khazaei Pool

Faculty Research, Scholarly, and Creative Activity

Background and Context: The Cancer Genome Atlas (TCGA) is a large public collection of medical data from thousands of cancer patients, managed by the NCI and NHGRI [1]. This project focuses on the TCGA-LUAD (Lung Adenocarcinoma) dataset, which contains clinical and molecular data from patients with lung adenocarcinoma [2]. We use Machine Learning (ML) to see if a patient's basic medical info can predict how well their lung cancer treatment will work.

Cae-If: An Anomaly Detection Approach Based On Temporal Representation Of The Reconstruction Error, Haijun Geng, Zhi Zhang, Yuhua Qian, Bo Yang, Qi Ma, Haotian Chi, Jing Yang, Xia Yin

Faculty Research, Scholarly, and Creative Activity

In the field of network traffic anomaly detection, unsupervised learning plays a critical role yet encounters significant challenges, including accurately determining anomaly thresholds and modeling the intricate temporal dynamics of network traffic. To address these challenges, we present a novel approach, termed Convolutional Autoencoder-Isolation Forest (CAE-IF). By leveraging packet-level reconstruction errors with contextual information, our approach obviates the need for manual threshold setting and effectively captures temporal dynamics. The process commences with the application of the damped incremental statistics algorithm to extract statistical features from network traffic with temporal information. Subsequently, the Convolutional Autoencoder (CAE) is employed to compute the …

Integrating Georeferencing And Fire Anatomy Modeling In Canyon Fire Experiments Using Thermal Uav Remote Sensing, Xiangyu Ren, Bo Yang, Alexander I. Filkov, Katherine M. Wilkin, C. David Benterou, Owen Hussey, Craig B. Clements

Faculty Research, Scholarly, and Creative Activity

Background: Wildfires profoundly impact ecosystems and human health, making them a critical research focus. Drone-mounted Thermal Infrared (TIR) sensors are widely used for active fire monitoring due to their ability to penetrate smoke and capture real-time fire dynamics. Aims: This study addresses the challenges of georeferencing TIR data accurately, caused by limited fire anatomy modeling, imprecise georeferencing, the coarse resolution of TIR imagery and the dynamic nature of fire behavior. Methods: We collected a one-hour TIR dataset capturing a fast-moving controlled fire in a California canyon, US, alongside auxiliary data of multispectral and in situ meteorological observations. We developed an …

Timelines Over Tokens: Summarization, Prompting, And Explainable Fine-Tuning For User-Level Suicide Risk Detection, Aditya Tekale

Master's Theses

This research presents a two-stage pipeline for user-level suicide risk detection from Reddit: first, inference-only prompting with summarization; second, fine-tuned encoder classification with explainability and expert validation. The data are user-level: each of the 500 C-SSRS Reddit items is one user’s chronologically concatenated posts and comments (a user timeline), annotated by psychiatrists. Stage one: six prompting strategies zero-shot, few-shot, chain-of-thought, tree-of-thought, least-to-most, and self-consistency are evaluated across six LLMs on multi-class and binary formulations; simple zero-shot achieves the highest balanced accuracy (0.53 multi-class). Error analysis shows longer inputs associate with misclassification (p = 0.002); domain-specific summarization (timelines >2,000 tokens) reduces …

Rthermal: Gate Level Power And Thermal Simulation For 3d-Stacked Chips, Peter Xiong

Master's Theses

As the number of transistors in modern processors increases, heat dissipation has become a major bottleneck to scalability. The use of 3D stacking further intensifies this problem, as heat from multiple layers can accumulate vertically. These challenges create a growing need for tools that can accurately and efficiently simulate the thermal behavior of 3D chips during design and validation. Several existing tools model thermal behavior for 3D-stacked chips and can simulate average heat over large spatial regions or long time intervals. However, when heat is concentrated in a small area or over a short time window, such models can miss …

Biologically-Based Alternatives To Plastic Mulch Enrich Microbiome And Buffer Yield In Small-Scale Strawberry Production, Olivia L. Fragiacomo

Master's Theses

Much of commercial agriculture has used plastic mulch since the 1950s to contain fungicides and fertilizers, control weeds, retain soil moisture, and warm the top soil to start the growing season earlier. Research suggests that small-scale strawberry (Fragaria x ananassa) growers may be able to incorporate biological techniques, such as wheat straw mulch with microbial amendments, to reduce the use of single-use plastic mulch with a comparable yield. For this study, I carried out a randomized complete block comparison of five strawberry management techniques: plastic mulch (PM), straw mulch alone, and straw mulch inoculated with either arbuscular mycorrhizal fungi (AMF), …

Investigating Learning In Immersive Virtual Reality, Andrew Negrette

Master's Theses

Students often struggle with learning challenging subjects throughout their education. This also tends to lead to lower enjoyment and science self-efficacy for learning. Some subjects may be better represented in 3-dimensional spaces utilizing immersive virtual reality (IVR). Recently, IVR headsets have become more accessible and affordable and therefore are in wider use. The purpose of this study was to investigate whether differences in science selfefficacy, enjoyment, presence and knowledge retention exist between IVR and controls on an ocean acidification lesson. I predicted that participants taking the lesson in IVR would score higher compared to a laptop on all measures, due …

Interpretable Wellness Prediction From Passive Wearable Sensor Data Using Large Language Models, Cheng-Huan Yu

Master's Theses

This thesis presents a unified framework for multi-target wellness prediction using passive wearable sensor data and large language models (LLMs). The study integrates two complementary paradigms: prompt-based regression and representation-driven classification. In the first stage, structured wearable representations derived from daily physiological signals are used to prompt LLMs to predict stress, fatigue, sleep quality, and readiness. Two input representations are evaluated: statistical summaries and hybrid inputs combining statistical summaries with raw sensor values. To improve interpretability and prediction consistency, the second stage introduces a representation-centric classification framework in which wearable signals and wellness targets are discretized into categorical levels. Multiple …

Moral: Multimodal Reasoning For Autonomous Language Models With Sensor-Grounded Spatial Bev Rendering, Ambarish Govindarajulu Kaliamurthi

Master's Theses

Autonomous-driving vision-language models describe scenes fluently but reason poorly about metric, safety-critical spatial relationships because they do not read sensor geometry in a grounded way. This thesis presents MoRAL (Multimodal Reasoning for Autonomous Language Models), a two-stage fine-tuning pipeline that teaches a compact 2-billion-parameter VLM to decode a physics-encoded Bird’s Eye View (BEV) representation – LiDAR distance as color, object class as cluster shape, radar Doppler velocity as directional wedges – and then trains it to reason over that representation for driving decisions. Stage 2 then fine-tunes on 57,696 teacher-generated chain-of-thought examples across eight question types, using Cosmos-Reason2-8B as teacher …

Superresolution Spectroscopy Of Atomically Thin Semiconductors And Moiré Heterostructures, Chien-Chu (Charity) Wei

Master's Theses

Atomically thin semiconductors and moir’e heterostructures provide an important platform for studying quantum phenomena shaped by reduced dimensionality, interlayer coupling, strain, and local structure. In MoS2, the transition from bulk to monolayer form changes the material from an indirect to a direct band gap, while stacked and strain-engineered systems can produce spatially varying moir’e potentials on nanometer length scales. Because these effects are highly localized, conventional far-field optical spectroscopy is often limited in its ability to resolve them directly. This thesis explores superresolution vibrational spectroscopy as a route toward probing local behavior in atomically thin semiconductors and moir’e heterostructures. Far-field …

Remote Reality: Exploring The Outcomes Of Psychological Contract Breach On Telecommuting Employees, Karen L. Ng

Master's Theses

The purpose of this study was to investigate the relationship between psychological contract breach (PCB) and attitudinal outcomes, specifically job satisfaction, organizational commitment, and turnover intent, within the telecommuter population. Results of an online survey administered to 213 participants revealed strong support of all hypotheses: PCB was negatively associated with job satisfaction and organizational commitment and positively associated with turnover intent. Exploratory analyses revealed moderating effects of remote work frequency and organizational tenure with PCB and attitudinal outcomes. High-frequency remote workers and longer-tenured employees showed stronger negative reactions to PCB, indicating their amplified vulnerability to breaches. Age and gender showed …