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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 …

Can Skepticism Be Politically Progressive? An Approach From Zhuang Zi, Tammo Lossau

Comparative Philosophy

Ancient skeptics, both in the West and East, suggest their philosophy as a form of life. One reservation about living as a skeptic is that it turns us into political conformists—this is also Jonathan Ichikawa’s (2024) objection to philosophical skepticism. Skeptics take their own perspective on the world to be limited, and in this sense they will be hesitant to fully embrace a conservative ideology. But the Pyrrhonian skeptic Sextus Empiricus recommends that in their actions, skeptics will follow existing laws and common moral beliefs. In this paper, I want to develop a different conception of skepticism based on the …

Jing (敬) And Respect, Wenyang Gao

Comparative Philosophy

Jing (敬) is often translated as “respect”. Some scholars argue for a “perception of worth” reading, conceiving jing as a deontic normative attitude akin to “respect” in the Western tradition. Others propose a “directing attention” reading, holding that jing is a virtue. This article clarifies the meaning and normative structure of jing, arguing that it has three dimensions:  (1) a state of mind characterized by seriousness, (2) an intentional, respectful feeling, and (3) respectful conduct aligned with ritual propriety (Li禮). While the “directing attention” reading correctly identifies jing as a virtue, insisting that jing does …

Leventhal, Alan, San Jose State University

Emeritus and Retired Faculty Biographies

San Jose State University, Anthropology, MA 1993

(MA Thesis Title: A Reinterpretation of Some San Francisco Bay Mound Sites: A View from the Mortuary Complex from Prehistoric Site CA-ALA-329, The Ryan Mound): https://scholarworks.sjsu.edu/etd_theses/694/

City College of New York, Major: Anthropology; Minor: Education and Geology, BA 1973

Archaeological Field Schools

University of Nevada: Nevada State Museum Archaeological Field School, Dr. Robert Elston, Director, June - August 1972

City College of New York Archaeological Field School, Dr. Robert Schuyler, Director, June - August 1971

See CV for Awards/Scholarships, 1972-2013.

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 …

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 …

Spatial Heterogeneity And Temporal Trends Of California Extreme Heat Using High-Resolution Earth System Model Simulations, Eleni Konstantelos

Master's Theses

Extreme heat threatens California’s diverse landscapes and populations through intensifying and geographically shifting patterns. This study examined the temporal trend and spatial heterogeneities of California’s extreme heat for 1994–2015. The analysis was based on the fully coupled Energy Exascale Earth System Model version 2 (E3SMv2), specifically its 25-km regionally refined configuration. While the Desert/Inland region exhibited the highest number of days ≥ 35 °C and the highest heatwave severity, Central Valley showed the fastest increase in the number of days ≥ 35 °C and heatwave events, as well as the fastest increases of days exceeding various heat index thresholds over …

Match Made In Ml: Developing Compatibility Relationships In Evidential Reasoning Approaches With Machine Learning, Ella Jolie Thomas

Master's Theses

The presented expectation maximization informed evidential reasoning model extends the ability of the evidential reasoning calculus to support decision making by integrating an adaptive model learning capability. Compatibility relationships in Evidential Reasoning models are traditionally built by human domain experts. This process is labor-intensive, especially for large and complex models. Additionally, when new data becomes available, compatibility relationships must be reconstructed. Using machine learning and the expectation maximization algorithm, it is demonstrated that compatibility relationships can be constructed that learn relationships between domain knowledge that is used to make decisions. Using drug development as a domain of application, a traditional …

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 …

Effects Of Variable Light On Sexual Competition In Kelp Species, Jaycee Lanza

Master's Theses

As foundation species, kelps significantly influence the structure and composition of their surrounding habitat by modifying environmental conditions, including light levels, currents, nutrient availability, sedimentation, and seawater chemistry. Light, in particular, is a critical resource that varies greatly within kelp forests, affecting kelp reproductive processes such as gametogenesis, fertilization, and recruitment, which are vital to population persistence. Biological factors, such as density-dependent competition for resources and sexual competition with other kelps, can also affect such processes. To understand how environmental variables influence kelp populations, it is crucial to recognize their combined effects. This study investigated the impacts of light levels …

The Zeal Instruction Set Architecture, Joseph A. Gerani

Master's Theses

The Instruction Set Architecture of a CPU (Central Processing Unit) determines what type of instructions the CPU is able to understand, how those instructions are encoded, and what it should output upon receiving those instructions as input. There are currently three popular ISAs meant for the consumer market: x86, RISC-V, and ARM, as well as a fourth that mostly now exists in the server market by the name of Power. One of the most important parts of an ISA is for engineers to be able to understand it and make use of it. If an ISA is too complicated, nobody …

Error-Tolerant Metric Dimension, Leander Ten Hoff

Master's Theses

Metric dimension is a graph parameter that measures the smallest distance-based unique coordinate system on a graph. Fault-tolerant metric dimension is a variant that requires redundancy. Inspired by this idea, we propose and investigate a new variant we call error-tolerant metric dimension. We first prove some fundamental results to gain familiarity with this more complex variant. Then, we use these tools to study relative behaviors of error-tolerant metric dimension. We prove explicit computations for simple graph families, including bipartite complete graphs and paths. Finally, we extend extremal results from previous papers on metric dimension, including a full correction of an …

Data Augmentation For Vision-Language-Action Models: Bridging Vision And Language, Miaosen Zhou

Master's Theses

This thesis focuses on real-time task execution and object detection for autonomous robots through dataset augmentation. We propose a data augmentation approach to address dataset imbalance in Vision-Language-Action (VLA) models across both image and text modalities during the fine-tuning process. The proposed method takes an image as input and generates a structured textual description using a prompt engineering strategy to augment the textual input. The generated augmented text includes key elements such as the task goal, scene description, reasoning, and execution plan, along with other relevant contextual information. This enriched representation improves the quality of the training data and supports …

Towards Neural Network Optimization: Addressing Issues With Corrupted Weights Within Models, Nick Najafizadeh

Master's Theses

Neural networks are a recent popular technology inspired from human brains. Much of their popularity arises from how they excel in reasoning and logic, and are generally rather efficient in their tasks. With those strengths, they are frequently used in transportation and business among many other fields. However, neural networks have many factors that can deteriorate their performance, one of the most critical being weight corruption. Therefore, it is of utmost importance to detect and handle them as soon as possible so as to minimize the negative impact on a network’s performance. The optimization of neural networks would be especially …

Accessibility Fairness Practices In Ai Applications For People With Disabilities, Megan Gross

Master's Theses

Advancements in artificial intelligence (AI) improve the lives of people every day with tools like the auto-captioning of videos, improved screen-reader capabilities, and advanced mobility control through speech. However, are all groups of people benefiting from AI or are some being overlooked and left out? Although AI tools made for people with disabilities (PWDs) have improved their lives, AI for the general population generally ignores the experiences of PWDs, making them unable to interact with and benefit from technology. This research evaluates ChatGPT and Gemini in Gmail for usability fairness and analyzes how current regulations and development processes fail to …

Diagrammatic Methods For Calculating Correlation Functions In Low-Dimensional Quantum Gravity, Nicholas A. Parrilla

Master's Theses

This thesis investigates connections between random matrix theory and low-dimensional quantum gravity through the spectral form factor (SFF), a well-studied function that characterizes correlations in the eigenvalue spectrum of an operator. In random matrix ensembles, a feature of the SFF known as the “ramp” is governed by universal spectral correlations, and in Jackiw–Teitelboim (JT) gravity this regime is due to the double-trumpet wormhole geometry. We study the connected correlation functions underlying the SFF using combinatorial, diagrammatic methods from a mathematical formalism known as second-order free probability theory, where they are expressed in terms of annular noncrossing permutations. To access a …

Rewriting The Calculus 3 Workshop At San José State University, Moorea Lippert

Master's Theses

Calculus 3 at San José State University is a very important course for any student pursuing a STEM degree. However, the course is very challenging, so the university offers a supplemental workshop course for Calculus 3 students. Unfortunately, this workshop has not aligned with modern research in math education. This thesis documents efforts to recreate the workshop to better align with this modern research.

Hydrus Modeling Of A Sahelian Agroforestry System: An Investigation Of Local Water Balance, Nicole A. Butler

Master's Theses

Effects of drought can devastate agricultural productivity in the West African Sahel. Climate complexities, such as lower-than-average rainfall and high winds, can lead to crop failure and low yields, thereby creating food security issues. Agriculture in the Sahel is primarily rainfed, and the rain is becoming increasingly unpredictable due to the changing climate. The method of intercropping groundnut (Arachis hypogea) and pearl millet (Pennisetum glaucum) with the shrub species Piliostigma reticulatum can combat the effects of climate change and restore degraded soil. Intercropping can increase water availability and crop yield when compared to crops grown in the absence of shrubs. …

Pipeline Optimization Of Agentic Llms For Text-To-Sql, Peter Conant

Master's Theses

Current database interfaces limit users’ interaction to those with technical skills, creating timely roadblocks for non-technical professionals. Text-to-SQL aims to simplify database interactions by translating natural language questions into database queries, but long-standing challenges like question understanding, question-schema linking, and SQL generation have held the field back. In the AI era, foundational LLMs prove to be very capable of question understanding SQL, perform well in Schema Linking, Generation, and Evaluation tasks. However the cost to run these model is a hurdle for many organization with low funds and resources. Text-to-SQL solutions often operate across large enterprise size databases with, and …

Monoids With K-Strictly Local Geodesic Languages, William M. Hong

Master's Theses

A paper by Gilman, Hermiller, Holt and Rees (2011) prove that a group G finitely generated by X is virtually free if and only if the language of geodesics words in G over X is k-strictly local if and only if the word problem is context-free. If M is a monoid finitely generated by X, we define Γu(M,X) to be the underlying, undirected graph of Γ(M,X). We prove that if the language of geodesics in Γu(M,X) based at the identity is k-strictly local, then the monoid and semi-group word problems are context-free.

Ensuring Effective, Efficient, And Equitable Libraries In A Post-Pandemic Community College Environment, Jeffery M. Sundquist

Dissertations

Using a case study model, this dissertation investigated student needs regarding library support in a post-pandemic community college environment, using data from student focus group interviews. These needs were juxtaposed with perceived student needs using library employee survey data. Based on the interpretation of data grounded in a critical librarianship framework, the author created action items for college library leaders. To provide effective, efficient, and equitable onsite libraries and library services, the author recommends (a) designing for psychological safety and belonging, (b) embedding visible human support, and (c) conducting equity-oriented space audits. To provide effective, efficient, and equitable online libraries …

Multiple Perspectives On Inclusion In Science For Students Receiving Support From The Learning Center (Tlc) Program, Jeremy C. Adams

Dissertations

Almaden Country Day School (ACDS) is a small, independent private school located in the Almaden Valley neighborhood of south San Jose, California. Currently serving over 400 students, the school has been in operation for over 43 years. Nan Hunter, its founder, set out to build a school community that could “discover the gifts in every child.” As part of this mission, the school sought to support neurodiverse students with accommodations as part of its general education program. In September of 2017, the school’s leaders committed more deeply to this aspect of the school’s mission when they opened The Learning Center …

Leadership, Identity, And Black Joy: The Career Trajectories And Experiences Of Black Administrators In The California State University System, Uchechukwu C. Ogamba

Dissertations

This study explores the experiences of Black mid- and upper-level administrators within the California State University (CSU) system, with a focus on career trajectories, institutional barriers, support systems, and mentorship. Black administrators are essential but continue to be underrepresented in higher education leadership and limited research focuses on their professional pathways and sustainability within the higher education systems. Guided by Black Joy Theory and Professional Identity Theory, this study uses survey data (n = 24) and semi-structured interviews (n = 8) to explore how Black administrators navigate leadership and create meaning within institutional environments. Quantitative findings highlight the importance of …

Guru Shishya Parampara: A Phenomenological Exploration Of Character Development Through Immersion, Shilpan Sheth

Dissertations

Processes that support the intentional effort to manifest virtue remain an under-described and poorly understood area of education research. In the literature, it is identified that immersion - a state of deep affective or cognitive engagement with one’s environment - holds implications for character development. Exploring the guru shishya parampara ((गुरुिश� पर�रा), a pedagogical tradition with roots in Vedic culture, through the lived experiences of an expert musician, this study relates immersive experiences to personal transformation. Data from interviews, lectures, and articles were analyzed. From the data, immersive experiences of the guru shishya tradition are understood to be embodied, intrinsic, …

A Closer Look At The Relationship Between Workplace Harassment And Negative Workplace Behavior: The Mediating Role Of Revenge Cognitions And The Moderating Role Of Fear Of Internal Threat, Keely L. Sinclair Smith

Master's Theses

The purpose of the current study was to provide a closer look at the relationship between workplace harassment and negative workplace behavior by investigating the mediating role of revenge cognitions and the moderating role of fear of internal threat, a novel construct that included both formal and informal organizational sanctions. A sample of 103 employees from a variety of occupational backgrounds participated in the study by completing an online survey. Results of the simple mediation analysis showed that workplace harassment was positively related to negative workplace behavior, and revenge cognitions fully mediated this relationship. In other words, employees who experienced …

Perceptions Of Speech-Language Therapy Among Generations Of One Mexican-American Family, Sabrina A. Macias

Master's Theses

This research is a modified replication of Salas-Provance et al. (2002) and analyzes the perceptions of speech-language therapy among one Mexican-American family. It investigates opinions about causes of speech-language disorders, for whom speech therapy can be helpful, characteristics and stereotypes about people with hearing and speech disorders, and the influence of education level on such opinions. With the assistance of three family members and two cultural informants, an online survey was developed consisting of demographic factors, Mexican folk and medical beliefs, and potential stereotypes of people with speech, language, and hearing disabilities. Twenty-three family members (response rate = 76.7%) completed …