Digital Commons Network^™

Human Factors For A Better World: Case Studies In Community Ergonomics, Hanna J. Barton, Andrew Thactcher, Maurita T. Harris, Wendy A. Rogers, Dan Nathan-Roberts, Leah Newman, Carlo Caponecchia

Faculty Research, Scholarly, and Creative Activity

This panel brings together global experts to explore the evolving practice of community ergonomics—an approach that applies Human Factors and Ergonomics (HFE) to co-design systems with and for marginalized communities. Building on the lessons articulated in Barton et al. (2025), panelists will present diverse case studies that highlight both the promise and complexity of community-engaged HFE work. Panelists will reflect on the epistemological shifts, methodological adaptations, and relational commitments required to move toward genuine collaboration and social impact. Attendees will leave with tangible strategies for engaging communities as co-designers, as well as deeper insight into how our assumptions as HFE …

Acoustic Wave Manipulation Through Sparse Robotic Actuation, Tristan Shah, Noam Smilovich, Feruza Amirkulova, Samer Gerges, Stas Tiomkin

Faculty Research, Scholarly, and Creative Activity

Recent advancements in robotics, control, and machine learning have facilitated progress in the challenging area of object manipulation. These advancements include, among others, the use of deep neural networks to represent dynamics that are partially observed by robot sensors, as well as effective control using sparse control signals. In this work, we explore a more general problem: the manipulation of acoustic waves, which are partially observed by a robot capable of influencing the waves through spatially sparse actuators. This problem holds great potential for the design of new artificial materials, ultrasonic cutting tools, energy harvesting, and other applications. We develop …

Decadal Change In Deep-Ocean Dissolved Oxygen In The North Atlantic Ocean And North Pacific Ocean, Henry A. Ruhl, Christine L. Huffard, Monique Messié, Thomas P. Connolly, Thomas Soltwedel, Frank Wenzhöfer, Rodney J. Johnson, Nicholas R. Bates, Susan Hartman, Anita Flohr, Edward W. Mawji, David M. Karl, James Potemra, Fernando Santiago-Mandujano, Tetjana Ross, Kenneth L. Smith

Faculty Research, Scholarly, and Creative Activity

Declining dissolved oxygen concentrations are documented at upper and mid ocean depths, but less is known about the deep ocean. Long time-series measurements of dissolved oxygen analyzed with Winkler titration over several decades reveal regional differences at six stations in the abyssal North Atlantic Ocean and North Pacific Ocean. A significant decline in dissolved oxygen was evident at two stations in the northeast Pacific Ocean at 4000–4200 m depth (Stations PAPA and M). A similar decreasing but insignificant trend was recorded in the Arctic region of the North Atlantic Ocean (HAUSGARTEN). However, there was no significant decrease in dissolved oxygen …

Using Large Language Models To Investigate The Origin Of Chronic Wasting Disease, G. Kent Webb

Faculty Research, Scholarly, and Creative Activity

This use case reports on the impressive output, hallucinations, instability, and limitations of three Large Language Models (LLMs): ChatGPT, Gemini, and Grok. The LLMs were prompted in an investigative sequence and responses checked. The collected information supports the common theory that chronic wasting disease (CWD) in North America originated in 1967 at a research facility in Fort Collins, Colorado, where deer were reported to have been exposed to sheep with a similar disease - scrapie. Findings include that: no sheep with scrapie were detected in the area around Fort Collins prior to 1967; domestic sheep reportedly exposed to scrapie were …

Spartan Daily, August 28, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 4

Spartan Daily, August 27, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 3

Accelerating The Fusion Workforce In The Usa, Carlos Paz-Soldan, Eva Belonohy, Troy Carter, Laleh E. Coté, Evdokiya Kostadinova, Calvin Lowe, Subash L. Sharma, Sybil De Clark, Jaydeep Deshpande, Kate Kelly, Bobbi Makani, David A. Schaffner, Kathreen E. Thome

Faculty Research, Scholarly, and Creative Activity

The fusion energy research and development landscape has seen significant advances in recent years, with important scientific and technological breakthroughs and a rapid rise of investment in the private sector. The workforce needs of the nascent fusion industry are growing at a rate that academic workforce development programs are not currently able to match. This paper presents the findings of the Workforce Accelerator for Fusion Energy Development Conference held in Hampton, Virginia, United States of America (USA), on 29-30 May 2024, which was funded by the National Science Foundation of the USA. A major goal of the conference was to …

Context-Aware Natural Language Processing For Malware Detection, Helen Liu, Summer Mccune, Quang Duy Tran, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

As malware continues to evolve and cyber attacks become increasingly prevalent, it is critical to develop effective malware classification techniques for the detection and prevention of such malicious attacks. In our research, we approach malware classification from a natural language processing perspective to explore how various tokenization techniques on malware opcode features can enhance classification accuracy and combat malware obfuscation and evolution techniques with a deep learning approach, previously unaddressed by existing research. We bridge this gap by conducting extensive hyperparameter tuning experiments that examine the effects of five common tokenization methods, that is, White Space Separation, Top Single Words, …

Synthetic Malware Image Generation Based On Generative Models Against Zero-Day Attacks, Arjun Sudheer, Ayesha Ahmed, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Malware detection is a critical task for protecting our assets from attacks. However, traditional approaches to malware detection often struggle with limited datasets, which hinder the effectiveness of machine learning models. In this paper, we propose a malware image generation system designed to craft high-quality synthetic malware image samples, addressing the challenges posed by small datasets in malware detection. The proposed system utilizes two popular generative models, WGAN-GP and Diffusion, to generate synthetic malware images. It converts malware binary files into image files using four different color spaces: monochrome, grayscale, RGB, and CMYK. These images are then evaluated based on …

Testimonios: The Experiences Of An Undocumented Student In California Post-Daca Rescindment, Isabel Rangel

McNair Research Journal SJSU

After Deferred Action for Childhood Arrival (DACA, 2012) was rescinded

by the Trump Administration in 2017, many students were left in “limbo

legality” (Gonzalez 2012) This study addresses the question, “What are the

experiences of undocumented students regarding their academic motivation

toward graduation now that DACA has been rescinded at San Jos. State

University (SJSU)?” Grounded in a Chicana Feminist Epistemology

approach, the methodology of testimonio is used to capture the experiences

of the author alongside an undocumented graduate student. Findings

suggest that college campuses should incorporate faculty knowledgeable in

policies that affect undocumented students, Undocumented Ally trainings

in college …

Understanding Child Noncompliance In The Early Care Setting, Melody Mann

McNair Research Journal SJSU

This study examines how teachers respond to children’s noncompliance in

early care settings. This structured observational study will focus on the

moment-to-moment interactions occurring within the preschool classroom

between both the child and teacher. It is predicted that (1) teacher’s direct

bids to children will promote greater instances of child compliance than

indirect bids, and (2) teachers’ responsive language will promote greater

instances of child compliance than restrictive language. The results of this

study will contribute to existing knowledge about the nature of teacher

child interactions in the early care settings.

Increasing And Improving Diversity And Hiring Of Individuals With Disabilities In The Workplace, Joshua Zhang

McNair Research Journal SJSU

This paper is a literature review of several literature on disability, diversity,

human resource/human resource management, and hiring in the

workplace/organization. The research question is how can employers

improve and increase hiring of individuals with disabilities in their

organizations? The objectives of this literature review paper are 1. Research

and analyze existing literature on disability, diversity, and workplace hiring,

2. Identify any limitations in gaps in research literature, and 3. Propose and

suggest areas and topics for future research. Each of the academic sources

in this paper are presented and discussed along with analysis. Additionally,

recommendations on how to best …

Same Face, Different Name - Colonialism, Colonization, And Capitalism: How To Combat The Insidious Capitalist Individualism That Denies Basic Human Rights To Us Citizens Via Community Centric Bartering, Nadia Loney

McNair Research Journal SJSU

This paper examines the effects of colonialism, colonization, and capitalism

on the social fabric of the United States and how severing key connections

within society has hindered the direct benefits of community. As has been

tested in various cities around the world, intentional bartering can create a

sustainable community and combat the devastating effects that these

systems have had on the environment and the escalation of violence both

internally and globally. Art aimed at community rebuilding and a

decentralization of the US dollar, can help facilitate innovation that heal

various social wounds.

Conscious Control: A Case Study On Self-Monitoring And Interventions In Maladaptive Daydreaming, Caleb Chan

McNair Research Journal SJSU

Maladaptive daydreaming (MD) is a persistent mental activity

characterized by immersive, excessive daydreaming that disrupts daily

life. This study examines the effectiveness of self-regulation strategies

in managing MD, including cognitive techniques, behavioral

adjustments, technology-assisted cues, and environmental

modifications. Using a single-subject ABA design, each intervention

phase lasted one week, with MD episodes tracked through self-reported

diaries and EEG monitoring. The results demonstrated that cognitive

reframing and task switching produced the most sustained reductions in

MD episodes, while technology-assisted cues had diminishing

effectiveness over time due to adaptation. Environmental modifications,

particularly workspace reorganization, con- tributed to long-term

improvements, while lighting adjustments …

Confronting The Digital Epidemic: Excessive Social Media Use (Smu) In The Wellbeing Of Young Adult Populations, Joanna Abellera

McNair Research Journal SJSU

This study will investigate the relationship between social media as a

mediator and its effects on depressive symptoms, using Social Comparisons

theory (SCT; Festinger, 1954) as a framework. A series of 8-10 articles,

obtained through the San Jose State Library Database and PsycINFO, will

explore the nature of social media addiction (SMA) and problematic social

media use (PSMU) and its relation to self-esteem of young adult

populations by comparing theoretical perspectives (i.e., cross-sectional and

experimental designs) in the literature. Studies have found that [increased

SMU has been correlated with negative outcomes such as depression,

loneliness, and increased envy]. Future studies …

Front Matter, Maria Cruz

McNair Research Journal SJSU

No abstract provided.

Full Issue

McNair Research Journal SJSU

No abstract provided.

Spartan Daily, August 26, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 2

Dynamics And Lipid Membrane Coupling Of The Ras-Raf Complex Revealed Via Multiscale Simulations, Timothy S. Carpenter, Fikret Aydin, Chris Neale, Que N. Van, Xiaohua Zhang, Harsh Bhatia, Jason W. Sidabras, Peter H. Frank, Konstantia Georgouli, Jeremy O.B. Tempkin, Violeta Burns Casamayor, Gulcin Gulten, Rebika Shrestha, Debanjan Goswami, Francesco Di Natale, Joseph R. Chavez, Liam G. Stanton, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

To gain molecular and mechanistic insights into initiation of the RAS-RAF signaling cascade, we developed and used a combination of multiscale simulation and experimental approaches. The influence and impact of the membrane on RAS and RAF proteins is a factor we are just beginning to understand and appreciate in more detail. Molecular simulation is an ideal methodology to further study this complicated relationship between the membrane and associated proteins. Our previous work using Multiscale Machine-learned Modeling Infrastructure investigated different lipid compositions solely around the KRAS4b protein and the interplay between protein behavior and these membrane environments. Multiscale Machine-learned Modeling Infrastructure …

Riparian Restoration Increases Soil Microbial Biomass In Marin County Rangelands, But Soil Carbon Stock Is Less Responsive, Sherilyn Kathryn Reinhart

Master's Theses

Land use change has caused the degradation of 70% of the Earth’s soils, directly altering soil microbial communities and carbon cycling. Interest in carbon farming practices is growing, but studies that document the nuances of soil carbon flux in specific bioregions are still too few. In this study, I examined how one practice, riparian restoration, alters soil carbon stock and microbial community structure over time. Using a paired sampling time series design, I collected soil samples from twelve riparian forests and adjacent rangelands near Marin County, California. Young and mature sites ranged from five to 29 years since restoration, and …

Spartan Daily, August 20, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 1

High Abundances Of Crustose Coralline Algae Inside Cryptic Coral Habitats Linked To Coral Reef Functioning, Anna Rothstein, Orion S. Mccarthy, Sophie Luu, Emily L.A. Kelly, Philip Heller, Stuart Sandin, Jennifer E. Smith, Maya S. Devries

Faculty Research, Scholarly, and Creative Activity

Cryptic habitats on coral reefs consist of crevices, tunnels, and holes that are estimated to comprise 30%–75% of the total reef surface area. These large habitats are vastly understudied because they are often difficult to access. Crustose coralline algae (CCA) are thought to perform important ecological functions, including calcium accretion, both inside cryptic habitats and on the exposed (top) reef. Using GoPro cameras, we surveyed 250 coral crevices from 13 reefs on West Maui, Hawai‘i. We compared relative CCA cover between crevice microhabitats and the well-studied top-reef and identified abiotic and biotic factors that correlated with CCA abundance. We found …

Late Holocene Paleodietary Patterns Among The Ancestral Ohlone: Ecogeographic Partitioning Of Resources Along The San Francisco Bay Eastern Shore, Melanie M. Beasley, Eric J. Bartelink, Alan Leventhal, Monica V. Arellano, Richard Massiatt, Charlene Nijmeh

Faculty Research, Scholarly, and Creative Activity

Objectives: In the San Francisco Bay Area, Late Holocene resource intensification models predict an increase in diet breadth and a reduction in foraging efficiency associated with an increase in population, sedentism, and territoriality among fisher-hunter-gatherer populations. Here we compare bone stable carbon (δ¹³C) and nitrogen (δ¹⁵N) isotope values of sites along the eastern bay shore to interpret how ecogeographical partitioning of resources by latitude and distance from the bay reflects differential access and control of resources. Materials and Methods: With the support of, and in collaboration with, the Muwekma Ohlone Tribe of the San Francisco Bay …

The Sketches Of Infinite Data And Algorithms For Real-Time Data Insights, Vishnu S. Pendyala

Open Educational Resources

How are machine learning algorithms able to answer questions from any nook and corner of the World Wide Web? How are trending hashtags from the near infinite microblog posts, unique visitors and other distinct counts in the near infinite website traffic determined? How do blogging websites avoid recommending articles a user has previously read? In general, how can we answer complex queries about enormous data streams without storing them entirely, in real-time? The answer often lies in clever approximation algorithms and data "sketches" that capture essential properties using vastly reduced space. The relentless flow of data in modern systems indeed …

Multimodal Emotion Detection And Analysis From Conversational Data, Abhinay Jatoth, Faranak Abri, Tien Nguyen

Faculty Research, Scholarly, and Creative Activity

—Emotion recognition in conversations has become increasingly relevant due to its potential applications across various fields such as customer service, social media, and mental health. In this work, we explore multimodal emotion detection using both textual and audio data. Our models leverage deep learning architectures, including Transformer-based models such as Bidirectional Encoder Representations from Transformers (BERT), Robustly optimized BERT approach (RoBERTa), Audio Spectrogram Transformer (AST), Wav2Vec2), Bidirectional Long Short-Term Memory (BiL-STM), and four fusion strategies that combine features from multiple modalities. We evaluate our approaches using two widely used emotion datasets, IEMOCAP and EMOV. Experimental results show that fusion models …

Learning Structure With Multivariate Information Bottleneck And Exploration Of New Methods In Sequential Decision Making, Volodymyr Makarenko

Master's Theses

Research in useful information extraction has been motivated by the increasing demand to extract insights from unstructured data, and by the need to store and transmit great volumes of information, often originating in unstructured data such as videos. Research in rate distortion and information bottleneck paved the path for understanding and guiding the design of lossy encoders, capable of extracting relevant information. Independently, research in deep representation learning has enabled numerous applications for unstructured high-dimensional data such as images. However, the interpretability of the deep learning methods remained limited. Several desired properties of learned representations have been suggested, including disentanglement. …

Book Review On Epistemology Of Modality And Philosophical Methodology (Edited By Anand Jayprakash Vaidya And Duško Prelević), Kumar Rajan

Comparative Philosophy

No abstract provided.

A Place For Ancient Philosophy In Axial Age Historiography, John R. Shook

Comparative Philosophy

Long-standing debates over historiographical approaches to the Axial Age have distracted the history of philosophy from its own disciplined inquiry into the breadth and depth of ancient thought beyond the Greeks. The philosopher Karl Jaspers offered a vista for seeing commonalities among ancient innovations and discerning continuities along history to modern times. That dual agenda divided Axial historiography with the question of whether axiality reflects creativities of ancient systems or have modern reflections created images of axiality. A singular chronology for humanity encourages a mode of philosophical history open to providential designs, epochal turns, spiritual evolutions, psychological leaps, or cognitive …

Moral And Ethical Nature In Confucian Liang-Zhi And Islamic Fitra: Comparative Perspectives On Innate Morality, Yanrong Shi

Comparative Philosophy

This article offers a comparative philosophical analysis of Confucian liang-zhi (innate moral knowledge) and Islamic fitra(primordial nature), focusing on their accounts of innate morality and moral epistemology. Drawing on classical Confucian sources—especially the praxis-oriented interpretation of Wang Yangming—and foundational Islamic texts and commentary, the study demonstrates that both traditions posit an inborn moral faculty grounding ethical universality and responsibility. Wang Yangming’s liang-zhi is conceived as an innate moral principle that, under the imperative of zhi (to actualize or extend), is continually activated through moral practice. In parallel, fitra is understood as a God-given orientation to truth, cultivated and safeguarded through …

A Constructive Engagement Between Oxford Ordinary Language Philosophy And Latin American & Latine Liberatory Philosophy, Alessandro R. Moscaritolo Palacio

Comparative Philosophy

In this paper, I bring into dialogue a movement in Latin American social and political philosophy – which I have named Latin American and Latine Liberatory Philosophy – and a Western, or more precisely global North, philosophical movement sometimes called Ordinary Language Philosophy. By ‘Latin American and Latine Liberatory Philosophy’, I refer to a movement, adumbrated at the dawn of the 19^th century and developed during the 20^th century, whose guiding theme is the political, social, and cultural liberation of Latin America (and global South peoples more generally). By ‘Ordinary Language Philosophy’, on the other hand, I refer …