Digital Commons Network^™

Scoring Equitable Transit: A Data-Driven Framework For Affordable Transit-Oriented Development In California, Ahoura Zandiatashbar, Anton Rozhkov, Stephanie Nemet, Atticus Washington, Mounashree Prasanna

Mineta Transportation Institute

Transit-Oriented Development (TOD) is a cornerstone of California’s climate and land use policy, promising walkable, compact neighborhoods near high-quality transit. However, these benefits are not always distributed equitably. This study introduces a scalable framework for identifying and scoring Affordable Transit-Oriented Development (A-TOD) across the state’s High-Quality Transit Areas (HQTAs). The goal is to equip policymakers, planners, and housing agencies with tools to evaluate station areas based on their physical form, affordability, and equity outcomes. Using a 1.5-mile network-based pedestrian buffer around over 66,000 transit stations, the research team developed a three-stage clustering and scoring system. Station areas were classified by …

Ideology And Iconography In Gustav Machatý’S Ecstasy (1933), Karl E. Toepfer

Open Educational Resources

This essay discusses the cinematic construction of sexual ecstatic experience in Gustav Machaty's 1933 film Ecstasy. Sergei Eisenstein's theory of cinematic montage governs the shapes the way the filmmakers organize the representation of erotic desire and rapture. But the film also shows affinity with the Czech "Poetist" movement of the 1920s in constructing a guiding view of ecstatic experience. The essay analyzes many images in the film, and concludes with an application of montage theory of ecstatic cinema to the consumption of erotic videos and internet imagery.

Empowering Students To Engage With Climate Change Action: A Project-Based Module For Artificial Intelligence Literacy And Sustainability Thinking, Gabriel Granco, Yu Chen, Heather Macias, Yunfei Hou, Frank A. Gomez

Faculty Research, Scholarly, and Creative Activity

There is a growing need to prepare students to address complex environmental challenges, particularly climate change and the expanding role of artificial intelligence (AI). This article examines the adaptation of the Artificial Intelligence for Social Good (AI4SG) Ideation module, a pitch- and project-based teaching framework designed to integrate AI literacy and sustainability education. Implemented in an upper division climate change course, the module combines project-based learning, culturally responsive pedagogy, and geographic thinking to guide students in developing community-oriented AI proposals aligned with the United Nations Sustainable Development Goals (SDGs). Students were encouraged to approach their communities not through deficit lenses, …

Generation Of Impact Factor-Driven Security Rating Questionnaire Using Llms For Aiot Applications, Yuna Han, Simon Shim, Deva Kumar Gajulamandyam, Yeji Choi, Hyunwoo Lee, Hangbae Chang

Faculty Research, Scholarly, and Creative Activity

Industry 4.0 has transformed industries by accelerating the adoption of artificial intelligence of things (AIoT); however, it has also led to security risks, such as data leakage. Existing data protection research focuses on network layers, whereas application-layer rating systems rely on subjective evaluations, limiting consistency and applicability. This study proposes a scalable and objective AIoT security rating framework that clarifies ambiguities in the five-question rating system of the Korean Intellectual Property Office and unifies fragmented managerial and technical rating systems. By leveraging large language models (LLMs), the framework integrates a security rating model based on 14 impact factors with automated …

Developing A Vietnamese Text Summarization Large Language Model On Limited Hardware, Tin Pho

Master's Theses

Text summarization models have achieved significant growth during the last few years because of major Large Language Model (LLM) technological advancements. The application of LLMs are widely used in news distribution (TL;DR news), translation tools (DeepL Translate), or virtual assistants (ChatGPT, DeepSeek, Claude, etc.). However, the progress has not yet reached all languages equally. The Vietnamese language is used by more than 90 million people, but the language is not as highly developed for LLM as it has many homophones, five different tones that affect meaning of words, and irregular grammar compared to other languages (e.g. English, Spanish, etc.). Also, …

Mobile Markets And Farmers’ Markets: Evaluating Food Accessibility For Underserved Communities In The Bay Area, Rajeshwari Rajesh

Master's Theses

Studies indicate including farmers’ markets, mobile markets, and other local food systems improve fresh food access for low-income communities, especially when paired with food assistance programs that offer financial incentives. This study aims to evaluate mobile markets and farmers’ markets in the Bay Area using the five dimensions of food access: accessibility, availability, acceptability, affordability, and accommodation. The study is based on primary data collected from 173 in-person surveys at six mobile and eight farmers’ markets in the Santa Clara and Contra Costa counties. Key survey participants were market shoppers participating in food assistance programs. A mixed research methodology included …

Parameter-Efficient Multimodal Adaptation: Ocr-Integrated Lora For Textvqa And Captioning, Karthik Ganesh Malini

Master's Theses

Vision-Language Models (VLMs) have emerged as transformative technologies for multimodal AI, yet they face significant hurdles in processing text-rich images required for enterprise applications like document understanding, medical imaging, and industrial inspection. Current VLMs struggle with accurate text extraction and reasoning, often exhibiting high hallucination rates and poor Optical Character Recognition (OCR) token utilization. To address these limitations, this research presents a comprehensive framework for optimizing parameter-efficient Low-Rank Adaptation (LoRA) fine-tuning strategies on state-of-the-art architectures, including LLaVA-1.5 and BLIVA-FlanT5. Our methodology integrates enhanced OCR token utilization, faithful caption generation, and specific hallucination mitigation techniques. We employ a multi-dimensional evaluation protocol …

Bicultural Identity, Work-Life Balance And Mental Health Outcomes In Swana Students, Julie M. Salama

Master's Theses

Southwest Asian and North African (SWANA) college students navigate academic demands alongside immigration-salient stressors that may shape their mental health and academic performance. This study examined generational status (Gen 1 vs. Gen 2+), identity conflict, ethnic identity, and work–life balance (WLB) in overall GPA and major GPA, and mental health outcomes of depression (PHQ-9), and anxiety (GAD-7) among SWANA students (N = 35). Two one-way MANOVAs found no generational differences for academics (overall/major GPA) or mental health (PHQ-9/GAD-7). Identity conflict was unrelated to GPA or symptoms but was positively associated with ethnic identity, while WLB was negatively correlated with depression …

Caring For Others And Self Care: Examining “Good” Care Among The Older Vietnamese Community In San José, California, Chloe Nguyen

Master's Theses

In this thesis, I present a study of the older Vietnamese community in San José, California. I explore the concept of "good" care through the anthropology of care, a conceptual framework that examines how care is understood and practiced across different cultural and social contexts. Using ethnographic methods, such as interviews and participant observation, I examine caregiving practices and experiences, as well as community members' perceptions of what constitutes "good" care. I draw on concepts of "good" care, reciprocal caregiving, and self-care to analyze themes that emerge from their caregiving practices and experiences. I also discuss caregiving at a distance …

Retrieval Augmented Framework For Deepfake Audio Detection, Avinash Saxena

Master's Theses

The widespread use of AI-based audio deepfakes threatens severely to undermine media integrity and public trust. Speech synthesis techniques have improved dramatically in voice conversion (VC) and text-to-speech (TTS) in recent years, making forgeries sound highly realistic, and concerns are raised about possible malevolent uses. Existing state-of-the-art techniques for identifying fake speech have proven to be effective in some cases but are still limited in application and robustness when faced with novel attacking strategies, different acoustic conditions, or alternative linguistic domains. To address some of these limitations, the current research presents a novel deepfake audio detection system based on personalized …

Climatology Of Northeast Winds In Northern And Central California: A New Characterization Of The Diablo Wind, Alana R. Macken

Master's Theses

Diablo winds in northern California are known for driving some of the most destructive wildfires in state history. The Camp Fire of 2018, which caused at least 85 civilian fatalities, is just one example of the devastating outcomes associated with these rapidly developing downslope windstorms. While they are known to occur most frequently from fall through spring, much about the structure, evolution, and full spatial extent of these events remains poorly understood. Most previous studies have focused on a limited number of high-impact cases or have defined events using humidity-based thresholds in isolated regions such as the North Bay. As …

Exploring The Role Of Culture And Bilingualism In Programming Activities: Lessons From African Educators, Emma R. Dodoo, Katharine Childs, Ethel Tshukudu

Faculty Research, Scholarly, and Creative Activity

The delivery of culturally relevant content in K-12 computing education is widely recognized as essential for engaging students and fostering meaningful learning experiences. However, in many African contexts, K-12 computing teachers feel unprepared to address this need. Course materials often fail to reflect the cultural and linguistic diversity of the students they serve. In this study, we conducted participatory design sessions with education stakeholders, including primary and secondary school teachers, to develop culturally relevant programming activities for a national programming outreach initiative in Botswana. Our findings emphasize the importance of relatable examples and a balanced approach to integrating cultural elements …

Contextualizing Introductory Computer Science: Insights From African Faculty, Ethel Tshukudu, Ismaila Temitayo Sanusi, Oluwakemi Ola, Sally Hamouda, Linda Marshall, Oluwatoyin Adelakun-Adeyemo, Emma R. Dodoo, G. Ayorkor Korsah, Sandani Luvhengo, Jack Parkinson

Faculty Research, Scholarly, and Creative Activity

Contextualizing computer science education has been recognized as a key factor in enhancing student engagement and learning outcomes. This study investigates the initial perceptions of university computer science faculty in Africa regarding the benefits, adoption challenges, and institutional support required for the successful integration of contextually relevant materials into introductory computer science (CS1) courses. Faculty then assessed a set of previously developed contextually tailored materials, grounded in Banks' Additive Approach to curriculum reform and aligned to the CS curricula 2023. The research adopted qualitative methods, gathering data through open-ended surveys from 22 CS faculty across 9 African countries. Thematic analysis …

Salmon Rushdie’S Frontier Pedagogy: Notes On Two Episodes In “Step Across This Line", Narayana Chandran Kizhakkethil

Asian American Literature: Discourses & Pedagogies

In the Indian multilingual classrooms teachers often discover certain details about the political semantics of the English texts they teach. When that happens, the language means much more to non-English readers who happily realize that English grants them a little more freedom to convey meanings to them than it does a monolingual readership. My example here is Salman Rushdie’s Tanner Lectures in Human Values called “Step Across This Line.” While his immediate context is the 9/11 tragedy and the politically prudent ways the US might cope with its aftermath, he returns time and again to those who brave borders, face …

Enhancing Clinical Named Entity Recognition Via Fine-Tuned Bert And Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Clinical notes often contain unstructured text filled with abbreviations, non-standard terminology, and inconsistent phrasing, which pose significant challenges for automated medical information extraction. Named Entity Recognition (NER) plays a crucial role in structuring this data by identifying and categorizing key clinical entities such as symptoms, medications, and diagnoses. However, traditional and even transformer-based NER models often struggle with ambiguity and fail to produce clinically interpretable outputs. In this study, we present a hybrid two-stage framework that enhances medical NER by integrating a fine-tuned BERT model for initial entity extraction with a Dictionary-Infused Retrieval-Augmented Generation (DiRAG) module for terminology normalization. Our …

Transcultural Competence And Empathy In Language Education: Imagining The Unimaginable, Michiko Uryu

Faculty Research, Scholarly, and Creative Activity

The 2007 MLA report offered guidelines and competencies for foreign language majors at American universities in the age of globalization. The notion of translingual and transcultural competence suggests that today’s foreign language education is not merely a matter of language acquisition, but humanistic learning. The ultimate goal for foreign language learners should be to gain alternative ways of seeing the world, namely, “imagining the unimaginable” (Ozick, 1987). This underscores the central importance of empathy in foreign language education. Yet the true challenge lies in how to assess such an abstract concept. Even eighteen years since its initial publication, the report …

Aisstream-Mcp: A Real-Time Memory-Augmented Question-Answering System For Maritime Operations, Sien Chen, Ruoxian Zhao, Jian Bo Yang, Yinghua Huang

Faculty Research, Scholarly, and Creative Activity

Ports and maritime operations generate massive real-time data streams, particularly from Automatic Identification System (AIS) signals, which are challenging to query effectively using natural language. This study proposes a prototype AISStream-MCP, a memory-augmented real-time maritime question-answering (QA) system that integrates live AIS data streaming with a Model Context Protocol (MCP) toolchain to support port operations decision-making. The system combines a large language model (LLM) with four MCP-enabled modules: persistent dialogue memory, live AIS data query, knowledge graph lookup, and result evaluation. We hypothesize that augmenting an LLM with domain-specific tools significantly improves QA performance compared to systems without memory or …

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 …

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, …

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.

A Closer Look At The Relationship Between Cultural Intelligence And Organizational Citizenship Behaviors, Lesli B. Quiroz

Master's Theses

As organizations—particularly in the United States—become more multicultural due to globalization, they increasingly rely on individuals' ability to succeed in complex, cross?cultural environments. Cultural intelligence (CQ), or the ability to successfully adapt to unfamiliar cultural settings, has been previously related to expatriate cross-cultural adjustment, group effectiveness, and more recently, to organizational citizenship behaviors (OCB), which are voluntary extra-role workplace behaviors that lead to positive employee and organizational outcomes. This study mainly sought to theoretically expand the limited research on the relationship between CQ and OCB with some research questions. In a sample of 93 participants based in California, results found …

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 …

Book Review On The Worlds Of Classical Chinese Aesthetics (By Paul R. Goldin), Lin Wang

Comparative Philosophy

No abstract provided.

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 …

The Conventional Emptiness Of Human Beings: Reviewing Archer’S Theory Of Agency Through Nagarjuna’S Looking Glass, Federico Podestà

Comparative Philosophy

Margaret Archer is probably the critical realist who has most significantly affected the debate around the relationship between social structure and agency. In the volume, Being Human: The Problem of Agency, she aims to better define what is meant by the properties and causal powers of agency itself, i.e., self-consciousness and reflexivity. In this paper, this theoretical attempt is reviewed through the critical standpoint of Nagarjuna. Nagarjuna’s philosophy appears to be a particularly compelling tool for criticizing Archer’s theory. Claiming the emptiness of everything, the founder of the Buddhist Madhyamaka school provides a critical perspective for revising the distinctiveness of …

How Theravāda Buddhism Enriches The Language Of Thought Hypothesis: Beyond Syntax, Juanjuan Cheng, Sumanasara Sandamadulle

Comparative Philosophy

The Language of Thought Hypothesis (LOTH) posits that mental states operate through a language-like representational system physically implemented in the brain. However, this purely symbolic approach faces a significant limitation: certain mental phenomena—such as intuitions, emotions, and intentions—lack the syntactically compositional structure required by LOTH and therefore cannot be adequately explained within its symbolic framework. To address this theoretical challenge, we turn to Theravāda Buddhism (TB), an early Buddhist tradition that integrates rigorous philosophical inquiry with meditative practice. Remarkably, TB began to prefigure a solution to LOTH’s limitations over 2,300 years ago. Although LOTH and TB differ …

Visual Analog Of Temporal Envelope Benefits Speech Processing In Cochlear Implant Users: A Pilot Functional Near-Infrared Spectroscopy Study On The Associations Between Audiovisual Benefit, Listening Environment, And Peripheral Neural Health, Zi Gao, Yi Yuan, Christopher R. Mueller, Ross A. Aiello, Yingying Wang, Shuman He

Faculty Research, Scholarly, and Creative Activity

Objectives: This study compared the benefit of visual analog of temporal envelope for speech processing across listening environments in postlingually deafened adult cochlear implant users. Associations between cortical activities and peripheral neural health were explored. Design: Speech perception was measured using Harvard/IEEE sentences in quiet and noise with a visually presented sphere whose size was synchronized with the temporal envelope of the sentences. Cortical activities were recorded concurrently using functional near-infrared spectroscopy. Audiovisual benefit was evaluated using sentence scores, activation additivity, and functional connectivity. Peripheral neural health was measured using electrically evoked compound action potentials. Results: Behavioral results showed the …

Anticolonialism And Qualitative Methods For Culture-Centered Interventions, Mohan Jyoti Dutta, Ambar Basu, Satveer Kaur-Gill, Debalina Dutta, Mahuya Pal, Iccha Basnyat, Selina Metuamate, Venessa Pokaia, Phoebe Elers, Indranil Mandal, Rabindranath Mandi, Pankaj Baskey, Devalina Mookerjee, Shaunak Sastry, Jaime Robb, Andrew Carter

Faculty Research, Scholarly, and Creative Activity

In this essay, we a collective of Indigenous, Black, and migrant Global South scholars engaged in experiments with the culture-centered approach (CCA) draw on our lived experiences amidst struggles against land grab, neoliberal extractivism, and capitalist exploitation to outline a framework for qualitative methods as anticolonial politics. We begin by exploring the interplays of colonialism, imperialism, and racial capitalism that have shaped the origins and uses of qualitative methods toward serving extractive agendas of global capital. This critique serves as the basis for outlining the key principles of the CCA, turning to voice, storytelling, and embodied action as the basis …

Seeing Bias Through Eye Movements: Investigating Empathy And Engagement With Authentic And Altered Refugee Imagery, Reem Albaghli, Akshay Sunil Gurnaney, Nada Attar

Faculty Research, Scholarly, and Creative Activity

This study investigates perceptual biases in responses to Syrian and Ukrainian refugee images using human-computer interaction (HCI) techniques. We hypothesized that media portrayals might shape empathy and influence both biases and donation behavior. Participants viewed both authentic and face-swapped images, with eye-tracking data capturing pupil size and decision-making patterns. In Experiment 1, participants' eye-tracking data and donation behavior indicated higher engagement and donations for authentic images, suggesting a preference for unaltered images without ethnicity-based bias. Experiment 2 explored this further by presenting cropped refugee faces alongside neutral or intellectual art, asking participants to choose the art that best matched each …