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Spartan Daily, September 3, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 5

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 …

The Association Between Cardiac Vagal Activity And Urinary Catecholamine: Investigating The Effect Of Race And Sex, Li Shen Chong, Betty Lin, Elana B. Gordis, De Wayne P. Williams, Julian F. Thayer

Faculty Research, Scholarly, and Creative Activity

Black individuals are at greater risk for the development of cardiovascular diseases compared to White individuals. Autonomic nervous system (ANS) dysregulation has been identified as a significant risk factor contributing to racial disparities in cardiovascular disease, yet systematic racial differences that affect the measurement of ANS activity among White and Black participants are likely obscuring understanding about ANS-health disparity links. Moreover, sex differences in ANS activity have been observed. Thus, efforts to elucidate the comparability of ANS indices across race and sex are needed. This study aimed to investigate the effects of race and sex on the associations between two …

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 …

Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin

Faculty Research, Scholarly, and Creative Activity

Language modeling has evolved from simple rule-based systems into complex assistants capable of tackling a multitude of tasks. State-of-the-art large language models (LLMs) are capable of scoring highly on proficiency benchmarks, and as a result have been deployed across industries to increase productivity and convenience. However, the prolific nature of such tools has provided threat actors with the ability to leverage them for attack development. Our paper describes the current state of LLMs, their availability, and their role in benevolent and malicious applications. In addition, we propose how an LLM can be combined with text-to-speech (TTS) voice cloning to create …

Covid-19 Prevention Behaviors Are Congruent Within Social Networks Of Disenfranchised Hispanic And Criminal Legal Involved Community Members, Victoria Umutoni, Khavita Bhavan, Nickolas Zaller, Amelia Knopf, Moctezuma Garcia, Russell A. Brewer, Makenna Meyer, Faye Taxman, O’Dell Johnson, Matthew Aalsma, John Schneider

Faculty Research, Scholarly, and Creative Activity

The COVID-19 (COVID) pandemic has had a disproportionate impact on people who have low income and identify as Hispanic or Latinx (PLIH) as well as those with criminal Legal Involvement (CLI). These two groups, and their intersection, are often disenfranchised from livable wage employment, basic social services, and healthcare, which are vital to prevent the spread of COVID. We examined baseline data from the Community Network-Driven COVID Testing of Marginalized Population in the Central US (C3) which included 1036 participants: 32.1% PLIH, 39.6% CLI, 10.6% who identified as both PLIH and CLI, and 17.6% who were neither PLIH nor CLI. …

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

Poster: Threat Intelligence & Modeling Practices For Iomt Devices Using Wi-Fi Communications, Eva Wilson, Cody Ourique, Bernardo Flores

Faculty Research, Scholarly, and Creative Activity

The integration of internet connectivity into medical devices, known as the Internet of Medical Things (IoMT), is revolutionizing modern healthcare through remote monitoring and advanced diagnostics. Among these devices, the Continuous Positive Airway Pressure (CPAP) machine plays a critical role in managing patients with Sleep Apnea. However, the security of CPAP devices presents significant concerns due to potential vulnerabilities that could lead to critical failures, such as device shutdowns. An analysis was made of the device's connectivity interface, to identify potential exploit points and vulnerabilities. Additionally, we evaluated whether existing threat modeling frameworks - namely the MITRE Adversarial Tactics, Techniques, …

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 …

Full Issue

McNair Research Journal SJSU

No abstract provided.

Exploring The Moderating Effect Of Boundary Management Strategy In A Remote Work Environment, Brandon M. Vasquez

Master's Theses

Remote work has evolved significantly, especially during the COVID-19 pandemic, and continues to influence employee experiences in both positive and negative ways. Managing the separation between work and personal life is of importance. More specifically, using a boundary management strategy of segmentation may be more effective than an integration strategy because those who separate the two domains of work and family/personal life may be less prone to conflict in their lives. The present study aimed to examine the moderating effect of boundary management strategy on the relationship between remote work and job satisfaction, work-life balance, and well-being. Specifically, it was …

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

Spartan Daily, 2025

Volume 165, Issue 2

Alameda Song Sparrow Habitat Use Of Salt Pond Restoration Sites In South San Francisco Bay, Bradley A. Speno

Master's Theses

Restoration is acknowledged worldwide as a conservation need to return ecosystem functions. However, projects require monitoring to track system changes and assess restoration progress. In the San Francisco Bay, several large restoration projects are implementing plans to return salt-producing ponds to the historical ecosystem, tidal salt marsh. The Alameda song sparrow (Melospiza melodia pusillula), a California species of special concern, has been documented to use restored and historic marshes, but their use of restored salt ponds is not fully understood. The birds’ use of restored marshes may be a useful measure of restoration progress. This research investigated the relationships comparing …

California Utility-Scale Solar Energy Land Use Impacts On Species And Ecosystems, Ingrid Salazar

Master's Theses

Utility-scale solar energy (USSE), defined as projects of at least 1 megawatt, is rapidly expanding in California, which generated 37.5% of its electricity from renewables in 2023, with 24% coming from solar. While USSE supports decarbonization, it can also cause environmental harm, including biodiversity loss, habitat fragmentation, and land conversion. This study uses ArcGIS Pro 3.4.0 and public environmental data to analyze the spatial distribution of USSE projects, land use changes from 2013 to 2023, and occurrences of at-risk species across California’s bioregions. USSE development is heavily concentrated in the Mojave Desert, San Joaquin Valley, and Colorado Desert, which are …

Deep Learning For The Early Detection Of Invasive Ductal Carcinoma In Histopathological Images: Convolutional Neural Network Approach With Transfer Learning, Naga Shreya Chilumukuru, Pragya Priyadarshini, Yawo Ezunkpe

Faculty Research, Scholarly, and Creative Activity

Background: Invasive ductal carcinoma (IDC) is considered the most common form of breast cancer, accounting for a significant percentage of mortality worldwide. Therefore, its early detection is vital to further improve patients’ outcomes and survival rates. However, conventional diagnostic methods in the form of manual histopathological examinations are time-consuming, subjective, and prone to errors. Therefore, there is an urgent need to develop automated solutions for accurate IDC detection in histopathology images to assist pathologists in clinical decision-making. Objective: We aim to develop and validate a convolutional neural network (CNN) model for early detection of IDC by analyzing histopathological images. The …

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

Use Of Cigarettes, Cannabis, And Alcohol Among Asian American, Native Hawaiian, And Pacific Islander Adults: Community-Based National Survey Analysis, Vuong Van Do, Van My Ta Park, Nhung Nguyen, Pamela May Ling, Marian Tzuang, Bora Nam, Marcelle M. Dougan, Oanh L. Meyer, Janice Y. Tsoh

Faculty Research, Scholarly, and Creative Activity

Background: Asian American, Native Hawaiian, and Pacific Islander (AANHPI) populations have diverse cultural, immigra-tion, and sociodemographic characteristics. Aggregated data could mask substantial differences in substance use between cultural subgroups in this population. Yet, studies examining substance use among the AANHPI population are limited. Objective: This study aimed to describe cigarette, cannabis, and alcohol use among AANHPI adults by cultural subgroup and sex. Methods: We analyzed data from 3411 AANHPI respondents of a multilingual national survey “COMPASS” during December 2021-May 2022. Primary outcomes were self-report current (every day or some days) use of cigarettes, cannabis, and alcohol. Cultural subgroups included Asian …

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 …

Correlations Of Intersectional Identity Cohesion And Growth In Queer And Transgender Black, Indigenous, And People Of Color, Zoha T. Qader

Master's Theses

Past research has found that identity cohesion (how integrated multiple identities are) is a protective factor that moderates the relationship between intersectional microaggressions and mental health outcomes. Individuals with higher identity conflict (multiple identities clashing) had anxiety and depression symptoms that could be predicted by the distress they experienced from intersectional microaggressions. For those with high identity cohesion, this was not the case. While compelling, the question remains, what are the factors that contribute to identity integration versus identity conflict? The present study will utilize existing data of 417 QTBIPOC individuals. Ratings of LGBTQ+ community belonging and engagement, and LGBTQ+ …

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 …

Exploring The Ant: How Well Do Three Attention Networks Predict Road Hazard Perception, Xander Philip Martinez

Master's Theses

Hazard perception is the ability of a driver to anticipate emerging dangers. Driving is a complex activity requiring attention to various stimuli to prevent accidents. Prior studies have shown that older, experienced drivers detect more cues and perceive hazards better than younger, inexperienced drivers. Attention is multifaceted, and three visual attention networks were focused on in the study: alerting (readiness), orienting (spatial focus), and executive control (distraction inhibition). A sample of 95 participants completed two tasks: The Attention Network Test was used to assess these three attention networks, and to measure road hazard awareness, participants viewed short dashcam videos (~233 …

The Effectiveness Of Kolmogorov–Arnold Networks In The Healthcare Domain, Vishnu S. Pendyala, Nivedita Venkatachalam

Faculty Research, Scholarly, and Creative Activity

Kolmogorov–Arnold Networks (KANs) have recently emerged as a powerful alternative to traditional Artificial Neural Networks (ANNs), offering superior accuracy and interpretability, which are two critical requirements in healthcare applications. This study investigates the effectiveness of KANs across a range of clinical tasks by applying them to diverse medical datasets, including structured clinical data and time-series physiological signals. Compared with conventional ANNs, KANs demonstrate significantly improved performance, achieving higher predictive accuracy even with smaller network architectures. Beyond performance gains, KANs offer a unique advantage: the ability to extract symbolic expressions from learned functions, enabling transparent, human-interpretable models—a key factor in clinical …

Post-Fire Succession In An Old-Growth Coast Redwood (Sequoia Sempervirens) Forest In The Santa Cruz Mountain Bioregion, Mojgan Mahdizadeh

Master's Theses

Fire is a common disturbance in the western United States, and variation in its frequency and intensity can significantly impact species recovery and distribution across ecosystems. While fire frequency and intensity are increasing in coast redwood forests, little is known about how this forest type responds to high-intensity wildfires. In 2020, a high-intensity wildfire burned large portions of the coast redwood forest in the Santa Cruz Mountains, including over 1,700 ha of old-growth. This event created a unique opportunity to evaluate post-fire succession. This research assessed vegetation recovery across high and low to moderate severity burned areas using random sampling …