Digital Commons Network^™

Application Of Machine Learning For Correcting Defect-Induced Neuromorphic Circuit Inference Errors, Vedant V. Sawal, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

This paper presents a machine learning-based approach to correct inference errors caused by stuck-at faults in fully analog ReRAM-based neuromorphic circuits. Using a Design-Technology Co-Optimization (DTCO) simulation framework, the study models and analyzes six spatial defect types - circular, circular-complement, ring, row, column, and checkerboard - across multiple layers of a multi-array neuromorphic architecture for handwritten digit recognition tasks. It is demonstrated that the proposed correction method, which employs a lightweight neural network trained on the circuit's 10 output voltages, can improve inference accuracy from 55% to 90% (+ 35 percentage points) in highly degraded defective scenarios. Results show that …

A Step-By-Step Shor's Algorithm Walkthrough: From Theory To Implementation, Trung Nguyen, Samuel Petruescu, Shrikant Jadhav, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

Quantum computing is inherently abstract and often counterintuitive from the perspective of classical physics. For learners to develop a deeper understanding, it is useful to study a practical example thoroughly, from its mathematical formalism to quantum circuit implementation. Shor's algorithm for period finding, which can then be used for prime factorization, is demonstrated in this paper due to its practical significance. While numerous publications on Shor's algorithm exist, they tend to focus on advanced theoretical analysis, specific implementation details, or narrowly defined research aspects; consequently, they are often not well-suited for educational purposes for beginning and intermediate learners. This paper …

Substantial Inter-Model Variation In Oae Efficiency Between The Cesm2/Marbl And Ecco-Darwin Ocean Biogeochemistry Models, Michael Dominik Tyka, Mengyang Zhou, Elizabeth Yankovsky, Dustin Carroll

Faculty Research, Scholarly, and Creative Activity

Induction of a CO2 partial pressure (pCO2) deficit in the surface-ocean through ocean alkalinity enhancement (OAE) or direct ocean removal (DOR) methods has been recognized as a promising approach to meet the projected need for negative CO2 emissions. The difficulty of directly measuring the counterfactual CO2 flux due to rapid spreading of the DIC-deficient plume has put ocean circulation models in the center of the Measurement, Reporting and Verification (MRV) challenge. Confidence in the results of such models is essential for the emerging industry to access carbon credit markets and grow at the required pace, to reach substantial negative emissions …

The Contemporary Tax Journal Volume 15, No. 1 – Summer 2026

The Contemporary Tax Journal

No abstract provided.

Visual-Motor Coordination In Automated Driving: Effects Of Temporal Urgency And Motor Demand On Intervention Behavior, Kailin Cui, Jonathan Chiu, Pranav Meda, Gaojian Huang, Yue Luo

Faculty Research, Scholarly, and Creative Activity

Occupational Applications: This study shows that time-critical automation intervention requests increase drivers’ visual-motor demands, reflected in measurable changes in driving performance and posture (i.e., limb engagement and trunk positioning) during transitions of control. These responses indicate that maneuver urgency and takeover timing can place elevated biomechanical and coordination demands on drivers, particularly in work-based automated driving. For ergonomics and human factors practice, the findings underscore the need to design automated transportation systems (e.g., ridesharing services) that align request timing with operators’ physical and perceptual capabilities. In occupational settings such as automated shuttles and fleet-supervised vehicles, intervention requests should provide adequate …

Sober Curiosity Among Lgbtq+ Women And Non-Binary People In Aotearoa New Zealand, Tonda L. Hughes, Jillian R. Scheer, Lauren Bochicchio, Laurie A. Drabble, Carol Emslie, David Whiteley, Belinda Lunnay, Paul R. Ward, Antonia C. Lyons

Faculty Research, Scholarly, and Creative Activity

Background: Although global drinking rates are declining, this trend is less evident among women, with LGBTQ+ women and nonbinary people at elevated risk for hazardous drinking. In addition to minority stress (e.g., stigma, discrimination), drinking culture and social norms likely shape alcohol use within these groups, yet remain underexplored as potential intervention points. Objective: This study was part of a larger multi-country project on alcohol use among LGBTQ+ women and nonbinary individuals. Because online resources have been found to appeal to stigmatized groups, we aimed to examine LGBTQ+ women’s and nonbinary people’s experiences with alcohol use in Aotearoa New Zealand, …

Application Of Virtual Reality To Alter Sweetness Perception, Serena Wellbelove, John Gieng, Valerie A. Carr, Kate Mcleod, Xi Feng

Faculty Research, Scholarly, and Creative Activity

Regular consumption of excess sugar is linked to nutrition-based diseases, including gut problems, Non-Alcoholic Fatty Liver Disease, and Type 2 Diabetes Mellitus. Increasing sweetness perception is a novel technique to decrease sugar consumption. This experiment compared the sweetness perception of sweetened and unsweetened almond milk in response to different virtual environments with music and visuals. Two music types, the classical song Goldberg Variations, BMV. 998-Variation 13 and a jazz song generated by AI were used. Additionally, fall and spring forest backgrounds were generated by the Blockade Labs 3D image generator. Each participant tasted sweetened and unsweetened almond milk in music-only, …

Application Of Assistive Technologies And Rendering Assistive Services To Students With Special Needs By Federal University Libraries: A Survey, Emmanuel Chidiadi Onwubiko

Library Philosophy and Practice (e-journal)

The world as of today, is being said to be witnessing what one may tagged a technological revolution as never before and is transforming for the better, the future of global education in which case, every learner is considered. These newly created technological tools and plans did place librarians as information managers and digital literacy drivers in better position to come up with environments that are inclusive for all learners to achieve their desired goals. The study therefore is a survey on the application of assistive technologies and rendering assistive services to students with special needs by federal universities libraries …

An Automated Surrogate-Assisted Optimization Framework For Rapid Microfluidic Channel Design Of Point-Of-Care Diagnostic Devices, Ronald Jose, Yunjian Qiu, Lin Jiang, Yun Wang

Faculty Research, Scholarly, and Creative Activity

Saliva-based point-of-care diagnostic devices provide accessible, non-invasive health monitoring but face engineering challenges in ensuring reliable, cost-effective performance outside laboratory settings. Traditional design approaches rely heavily on repeated cycles of simulation, design, and prototyping, creating computational bottlenecks that slow innovation. This work introduces an automated surrogate-assisted optimization framework that integrates multiphysics simulation data, surrogate modeling, and multi-objective optimization to accelerate microchannel design. Synthetic datasets generated through multiphysics simulations are used to train a neural network surrogate model capable of predicting flow performance metrics, including the Dean number and pressure drop. This trained model achieved a mean squared error of 0.000012 …

Uav-Based Estimation Of Fuel Structure And Dynamics In A California Canyon Fire Experiment, Xiangyu Ren, David Benterou, Jannike Allen, Katherine M. Wilkin, Henri Brillon, Craig B. Clements, Bo Yang

Faculty Research, Scholarly, and Creative Activity

Wildfires in California increasingly threaten communities and ecosystems. However, comprehensive estimation of fire dynamics and fuel structure remains limited. Recent advances in Uncrewed Aerial Vehicle (UAV) technology and high-spatial-resolution mapping have provided increasingly important tools for estimating wildfire fuel-height loss across fuel types. This study used a one-year Uncrewed Aerial Vehicle (UAV) time series to quantify fuel-height loss and vegetation regrowth associated with a prescribed upslope canyon fire near Salinas, California, USA. Multispectral, infrared, and visible UAV imagery collected before, during, and after burning was used to generate orthomosaic, digital surface models (DSMs), fuel-type classifications, and surface-volume estimates. To enable …

Sjsu Erfa News, Summer 2026, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 39, No 39

Smart-Twin: Systematic Modeling And Real-Time Transportation With Digital Twins, Hovannes Kulhandjian

Mineta Transportation Institute

Urban transportation networks are increasingly affected by everyday congestion, non-recurring disruptions, and limited real-time visibility into what is happening on the road. Transportation agencies require advanced tools that support faster, proactive management and data-driven infrastructure decisions rather than passive monitoring. This report presents SMART-TWIN, an Artificial Intelligence (AI)–driven Digital Twin framework designed for real-time traffic operations, disruption detection, and performance-based decision-making support. The SMART-TWIN architecture integrates microscopic traffic simulation (detailed traffic modeling), long-horizon synthetic demand generation simulating real travel patterns, supervised machine learning, and performance analysis within a unified and reproducible workflow. A corridor-scale Digital Twin was developed for the …

Preparing Today’S Workforce For Tomorrow’S Autonomous Transportation: Bridging Electrical And Civil Engineering Disciplines, Masoud Ghodrat Abadi, Rohollah Moghadam

Mineta Transportation Institute

Autonomous vehicles (AVs) are expected to transform transportation systems and reshape workforce needs across engineering and related fields. Although existing AV workforce development efforts often emphasize electrical engineering, computer science, and mechanical engineering, transportation engineering remains underrepresented despite its importance to infrastructure, traffic operations, safety, and mobility integration. This study addresses that gap through the development, implementation, and evaluation of an interdisciplinary certificate program, Workforce for Autonomous Vehicle Engineering (WAVE), at California State University, Sacramento. The program was designed to bridge transportation engineering and electrical engineering through a two-step curriculum model consisting of theoretical educational modules and hands-on laboratory activities. …

Video Games As An Advertising Media: A Comparative Analysis Between Portuguese And Spanish University Students, Alejandro Tapia-Frade, Gema Bonales-Daimiel, Belén Moreno-Albarracín

Faculty Research, Scholarly, and Creative Activity

Changes in leisure consumption are causing transformations in the relationships between young people and brands. A reflection of this is found in video games, whose predominant user profile is that of young people between 18 and 30 years old. They invest more and more time in digital universes: they play, socialize and even buy, and income from the video game sector has increased year after year in Spain and in the world, surpassing those generated jointly by cinema and music. A review of previous literature indicates the relevance as an object of study of video games that are used as …

Addressing Data Scarcity In Malware Classification Via Pixel-Level Synthetic Image Generation, Mounika Krishna Teja Karumudi, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

Deep learning-based malware classification using image representations has emerged as a highly effective paradigm for threat detection. However, training robust neural networks is frequently bottlenecked by data scarcity and severe class imbalances in real-world repositories. This study investigates the viability of using an autoregressive PixelCNN framework to synthesize high-fidelity, class-specific malware images to augment limited training distributions. Utilizing the benchmark Malimg dataset, we systematically evaluate a Convolutional Neural Network (CNN) classifier across varying ratios of synthetic-to-authentic data under strict data scarcity constraints (ranging from 10 to 80 authentic samples per family). Our experimental results reveal that while PixelCNN successfully replicates …

Semantic-Geometric Decoupling For Universal Spatial Anchoring In Extended Reality, Danila Kharitonenkov, Haichao Miao, Vuthea Chheang

Faculty Research, Scholarly, and Creative Activity

The Vision Language Models (VLMs) demonstrate remarkable performance in semantic reasoning tasks. However, it is still challenging for them to fully understand 3D spatial environment. Trained on 2D data, the model does not understand the relationship between positions and the first-person viewpoint, leading to viewpoint confusion, which is especially evident during egocentric tasks. The VLMs use 2D image Red-Green-Blue channel (RGB) pattern matching instead of actual point cloud coordinates for distance calculations. This modality could prevent the model’s 3D space geometry understanding, and leads to metric hallucination, as the model guesses the distance without mathematical calculations. In addition, the industrial …

Exploring The Experiences And Challenges Of Librarians In Cataloguing Academic Resources In Public University Libraries In The Volta Region Of Ghana, Hawa Osman Dr, Joana Dango Mrs., Hannatu Abue Kugblenu-Mahama Dr

Library Philosophy and Practice (e-journal)

Purpose: This study explored the experiences of librarians involved in cataloguing academic resources and examined the challenges they face in public university libraries in the Volta Region of Ghana.

Methods: A qualitative research approach was adopted to gain in-depth insights into librarians’ lived experiences. The study was conducted at the University of Health and Allied Sciences (UHAS) Library and Ho Technical University (HTU) Library. A total of 30 participants were selected using purposive sampling, guided by Yamane’s formula for sample size determination. Data were collected through semi-structured face-to-face interviews and analyzed using thematic analysis with NVivo software. Ethical standards, including …

Identifying Parkinson’S Disease From Gait Biomechanics Using A Participant-Level Machine Learning Analysis Pipeline, Li Jin

Faculty Research, Scholarly, and Creative Activity

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor control, balance, and gait impairments that significantly elevate fall risk. Traditional gait analysis focuses on spatiotemporal parameters, while gait variability, asymmetry, and balance measures offer more sensitive indicators of PD-related motor deficits. Machine learning studies using wearable gait data frequently report high classification accuracy but lack biomechanical interpretability and methodological rigor. Using the PhysioNet Gait in Parkinson’s Disease database, 93 individuals with PD and 72 healthy controls were analyzed during level-ground walking. Key biomechanical differences were identified: stride time coefficient of variation was significantly higher in PD bilaterally (left …

System Branding In Three Public Libraries: Live Oak Public Libraries, Charlotte Mecklenburg Library, And Richland Library, Patrick Roughen

Library Philosophy and Practice (e-journal)

This article examines library catalogs as brand artifacts in the context of two ancient libraries: the Library of Alexandria and the library of the Temple of Horus at Edfu, Egypt. Drawing on Pierre Bourdieu’s concept of symbolic capital and brand theory, this research argues that the catalogs of these two institutions functioned as early branding instruments. The Pinakes, the catalog of the Library of Alexandria, projected a brand of universal knowledge and intellectual prestige, and the inscribed wall catalog at Edfu reflected a brand focused on sacred authority and the sustaining of cosmic order (Ma'at).  Together, they illustrate two opposing …

Freedom Of Thought And Speech: Charles C. Burleigh And The Refraction Of Quaker Principles In Abolitionist Non-Violence, Jennifer Rycenga

Faculty Research, Scholarly, and Creative Activity

Charles C. Burleigh (1810-1878), an important American Abolitionist speaker, agent, and theorist, was also an advocate for non-violent resistance. He had many opportunities across his 30+ years fighting slavery to test his non-violent principles, due to mob violence against Abolitionist gatherings. At some of the most significant of these events, such as the destruction of the Abolitionist's Pennsylvania Hall in 1838, Burleigh witnessed the strength and resolve of African-American and white women in upholding non-violence and moral suasion.

While Burleigh never became a member of the Society of Friends, his life and thought run parallel to ideas and practices of …

Archeota, Spring/Summer 2026, Diane Curtis, Angela Brooks, Gaby Stephenson, Nana Turkson, Siera Milton Beal, Charlene Hardin, Lola Jalbert, Emily Stockton, Ryan Martin

Archeota

Archeota is a platform for SJSU iSchool students to contribute to the archival conversation. It is written BY students, FOR students. It provides substantive content on archival concerns and issues and promotes professional development in the field of archival studies. Archeota upholds the core values of the archival profession. Contents: “It’s Virtual, Baby!!”: Creating a Secure Digital Space for an At-risk Community Archives Online Conference by Diane Curtis, My Experience as a MARA Student at Queer History South 2026 by Ryan Martin, AI and Digital Leadership: Transforming Libraries, Archives and Museums for the Future by Angela Brooks, The Threshold …

Exploring The Scales And Drivers Of Blue Transitions Of Marine Wild-Capture Fisheries To Mariculture In California, U.S.A, H. E. Froehlich, M. Rennick, R. R. Gentry, H. R. Lemoine, L. Gardner, S. E. Lester

Faculty Research, Scholarly, and Creative Activity

Commercial capture fisheries worldwide are susceptible to perturbations and sudden declines, also known as shocks. While management reforms and diversification within wild fisheries have provided some stability, it is less clear how parallel sources of seafood production, such as aquaculture, fit into these dynamics, past and present. Marine aquaculture (mariculture) is one way to increase seafood supply as demand increases and fisheries landings potentially become more variable. This study examined historical trends in marine fisheries and mariculture in the state of California, U.S.A., with an aim to empirically understand local ‘blue transitions’, i.e. shifts from wild to farmed production. Using …

Building Bridges: The Reference Interview As A Mechanism For Social Capital In School Libraries, Jessica M. Lilly

Learning Hub

Building Bridges: The Reference Interview as a Mechanism for Social Capital in School Libraries

Abstract

School librarians occupy a unique position within schools, interacting across all stakeholder groups and serving as a conduit between students, teachers, administrators, and the broader learning community. This article examines the reference interview not merely as a transactional information-retrieval tool but as a relational practice through which school librarians generate, sustain, and distribute social capital. Drawing on the foundational theories of Putnam (2000), Coleman (1988), and Bourdieu (1986), and on the reference transaction model grounded in Jesse H. Shera's foundational work (Coleman et al., …

Constitutional Inferences On Emerging Technologies: Analyzing Government Overreach, The Fourth Amendment, And Democratic Process In The Age Of Artificial Intelligence, Alan To

McNair Research Journal SJSU

The rapid adoption of artificial intelligence (AI) and machine learning (ML)

technologies by federal agencies presents novel constitutional questions that

existing legal doctrine has not yet adequately addressed. This paper

examines the emerging constitutional dimensions of the 2026 conflict

between Anthropic and the Department of Defense (DOD), in which the

Pentagon demanded unrestricted use of Anthropic's AI model Claude for

domestic mass surveillance and autonomous weapons systems, ultimately

designating Anthropic a supply chain risk when the company refused.

Drawing on three salient constitutional frameworks, specifically the Fourth

Amendment doctrine established in Kyllo v. United States (2001) and

Carpenter v. United …

Words Can Hurt: A Review Of Racial Microaggressions And Their Effects On Cortisol Level, Edgar Perez-Lopez

McNair Research Journal SJSU

The study examines the impact of racial microaggressions on cortisol levels,

highlighting inconsistent findings across various research methodologies.

Microaggressions--subtle discriminatory actions--are linked to stress and

can raise cortisol levels, a hormone released in response to stress. Some

studies suggest that frequent microaggressions blunt cortisol response,

making it less available for future stressors, while others reported increased

cortisol levels. The divergence in results may be due to differences in

research designs, such as cross-sectional, interpersonal research, or

nomothetic, versus longitudinal, intrapersonal research, or idiographic

approaches. Combined, the results of each type of research proves chronic

and acute impact of microaggressions. The …

Explainable Multi-Agent Llm Framework For Phishing Email Detection Via Role-Specialized Evidence Decomposition, Tanya Yadav, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Phishing email remains a persistent and operationally critical cybersecurity threat, yet existing detection approaches, including traditional machine learning and single-pass large language model systems, either lack native interpretability or provide explanations that are difficult to standardize and audit. This paper introduces an explainable multi-agent LLM framework that decomposes phishing evidence across three role-specialized agents focused on linguistic patterns, psychological manipulation, and sender identity consistency. The framework then aggregates specialist outputs through schema-governed synthesis, enabling each intermediate and final decision to be structured, comparable, and auditable. The central contribution is the treatment of role-specialized evidence decomposition and explanation structure as first-class …

Redefining The Norms: An Interdisciplinary Perspective On Language Testing In Multilinguals With Acquired And Progressive Neurogenic Disorders, Alessa Hausmann, Adolfo M. García, Ana Sofia Costa, Arpita Bose, Boon Lead Tee, Claudia Rivera-Fernandez, Eduardo Europa, Gitit Kavé, Jee Eun Sung, Maira Okada De Oliveira, Mandy Wigdorowitz, Maria Garraffa, Maria Teresa Carthery-Goulart, Michael J. Kleiman, Naama Friedmann, Samir Diouny, Sanne Franzen, Sofia Toniolo, Stephanie Grasso, Thomas H. Bak

Faculty Research, Scholarly, and Creative Activity

Accurate language assessment is essential in clinical and research contexts. However, most assessment tools and questionnaires have been developed within monolingual frameworks, overlooking the particularities of the vast multilingual population and, thus, often leading to misdiagnosis and inequitable care. Here, we examine the limitations of monolingual-centric approaches to language testing in multilinguals with acquired and progressive neurogenic disorders and explore the implications of multilingualism across linguistic, cognitive, neural, clinical, and sociocultural domains. We also address the need for technological innovation and theoretical refinement to better accommodate linguistic diversity in healthcare. Ultimately, we advocate for a nuanced, equitable, and culturally sensitive …

The Shrinking Caspian Sea: Eco-Hydrological Responses To Human And Climate Pressures, Jesse Duku, Mohammad J. Tourian, Marzi Azarderakhsh, Rovshan Abbasov, Ali Mehran, Ali Torabi Haghighi, Stefanos Xenarios, Azara Boschee, Salih Babagiray, Mojtaba Sadegh, Nima Shokri, Ali Nazemi, Alireza Farahmand, Samaneh Ashraf, Temur Khujanazarov, Elmira Hassanzadeh, Dalal Najib, Daniel Placht, Shamshagul Mashtayeva, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

The Caspian Sea, the Earth's largest inland water body, faces water level decline, drawing comparisons to the collapse of the Aral Sea. Unlike the Aral Sea, the relative roles of climatic variability, hydrological changes, and anthropogenic pressures on the Caspian Sea remain poorly understood. Here, we integrate satellite observations, in situ hydrological records and reanalysis data to examine recent drivers of the Caspian water loss. We show that total river inflow to the Caspian Sea has declined significantly, primarily due to reduced discharge from the Volga River. At the same time, precipitation over the basin has remained broadly stable, while …

Teaching Inquiry As Conversation: Bringing Wonder To Life, Barbara K. Stripling, Darryl Toerian

Learning Hub

In Teaching Inquiry as Conversation, Barbara Stripling and Darryl Toerien invite school librarians, classroom teachers, and education leaders into a deeper conversation about what inquiry can make possible for learners. Building on the Stripling Model of Inquiry and Toerien’s FOSIL framework, the book presents reflective inquiry as more than an academic process. It is a whole-child approach that helps students develop curiosity, identity, cultural responsiveness, voice, agency, and lifelong learning skills.

In their ALiVE! Library Project interview with Dr. David Loertscher, Stripling and Toerien discuss inquiry as a communal process of coming to know and understand the world. Their …

Designing Captcha Systems With Reinforcement Learning For Adaptive Defense, Meghana Indukuri, Eman Naseerkhan, Joshua Rose, Martin Tran, Younghee Park

Faculty Research, Scholarly, and Creative Activity

CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) systems remain a widely deployed defense against automated abuse, but advances in machine learning have reduced the effectiveness of traditional challenge-based designs and exposed limitations in proprietary risk-scoring systems. This paper presents an adaptive, reinforcement learning-based CAPTCHA defense framework for high-security web applications. The proposed system formulates bot detection as a partially observable Markov decision process and uses a Proximal Policy Optimization (PPO) agent with Long Short-Term Memory to analyze streamed behavioral telemetry, including mouse movements, clicks, keystrokes, and scrolling, over sequential interaction windows. During the observation phase, …