Digital Commons Network^™

Development Of A Framework For Identifying Asphalt Pavement Cracking Distresses Using Machine Learning, Dingxin Cheng

Mineta Transportation Institute

Asphalt pavement cracking is one of the most critical distresses affecting pavement performance and service life. When pavement deteriorates, it can lead to safety hazards, higher vehicle maintenance costs, and expensive repairs for cities and states—making early detection essential for everyone who relies on the roadway system. To address this challenge, the research team developed a prototype cracking identification system that integrates a customized machine learning model with computer vision algorithms. High-resolution images collected from drones or ground-based cameras are processed within the system to automatically detect and classify major cracking types. The core of the framework utilizes the You …

Thermodynamically Consistent Incorporation Of The Langmuir Adsorption Model Into Compressible Fluctuating Hydrodynamics, Hyun Tae Jung, Hyungjun Kim, Alejandro L. Garcia, Andrew J. Nonaka, John B. Bell, Ishan Srivastava, Changho Kim

Faculty Research, Scholarly, and Creative Activity

For a gas–solid interfacial system where chemical species undergo reversible adsorption, we develop a mesoscopic stochastic modeling method that simulates both gas-phase hydrodynamics and surface coverage dynamics by coupling the Langmuir adsorption model with compressible fluctuating hydrodynamics. To this end, we derive a thermodynamically consistent mass–energy update scheme that accounts for how the mass and energy variables in the gas and surface subsystems should be updated according to the changes in the number of molecules of each species in each subsystem due to adsorption and desorption events. By performing a stochastic analysis for the ideal Langmuir model and the full …

Spartan Daily, February 26, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 16

Vision-Based Wafer Inspection In Semiconductor Manufacturing: A Case Study On Scratch Defect Detection Using Synthetic Data And Yolo Models, Ramón Jesús Sánchez Peñaloza, Armin Moghadam, Fatemeh Davoudi Kakhki

Faculty Research, Scholarly, and Creative Activity

Scratch-type surface defects are among the most critical in wafer fabrication. Even minor scratches can result in rejected dies, substantial yield loss, and downstream reliability failures, making their early and precise detection essential for cost-effective production and long-term device performance. Given the scale and speed of modern semiconductor manufacturing, manual or traditional inspection methods are insufficient to reliably detect such subtle surface defects, underscoring the urgent need for intelligent, automated inspection systems capable of real-time, high-precision detection. However, developing such systems remains challenged by limited access to diverse, labeled defect datasets and the high cost of manual annotation. To overcome …

Disparities In Emergency Department Outcomes By Race During The 2022–2023 Covid-Influenza Twindemic, Joshua Emakhu, Christiana David, Egbe Etu Etu, Sara Masoud, Imokhai Tenebe, Jordan Larot, Kindness Etu, Satheesh Gunaga, Joseph Miller

Faculty Research, Scholarly, and Creative Activity

Background: The 2022–2023 “twindemic” of COVID-19 and influenza has worsened emergency department (ED) overcrowding, revealing racial/ethnic disparities in emergency care. This study assessed racial differences in ED operational outcomes—specifically, discharge ED length of stay (LOS), boarding time among admitted patients, and left without being seen (LWBS) rates—and characterized disparities concentrated in the upper tails of delay distributions. Methods: This retrospective observational study included adult ED encounters with respiratory presentations and/or laboratory-confirmed COVID-19 or influenza across 10 EDs in Michigan between September 2022 and December 2023. The primary outcomes were ED LOS at discharge, boarding of admitted patients, and LWBS. Models …

Spartan Daily, February 25, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 15

Spartan Daily, February 24, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 165, Issue 14

The 41st Annual Tei – Sjsu High Tech Tax Institute Conference On November 3-4, 2025: Tax Issues In International Ip Transactions, Sandhya Dharani

The Contemporary Tax Journal

No abstract provided.

Explainable Multi-Modal Deep Learning For Transparent Cancer Diagnosis: Integrating Radiology, Clinical Features, And Decision Visualization, Sital Dash, Laxmi Bewoor, Yashwant Dongre, Amol Bhosle, Kailas Patil, Shrikant Jadhav, Banani Mohapatra, Bhavnish Walia

Faculty Research, Scholarly, and Creative Activity

Introduction: Although artificial intelligence–based cancer diagnostic models have demonstrated strong predictive performance, their lack of transparency and reliance on single-modality data continue to limit clinical trust and adoption. Effectively integrating multi-modal data with interpret-able decision-making remains a key challenge. Methods: We propose an explainable multi-modal deep learning framework that integrates radiological imaging and structured clinical features using attention-based fusion. Image-level explanations are generated using Grad-CAM++, while SHAP is employed to quantify clinical feature contributions, enabling unified and cross-modal aligned interpretation rather than independent uni-modal explanations. The framework was evaluated on publicly available datasets, including CBIS-DDSM mammography, Duke Breast Cancer MRI, …

Spartan Daily, February 19, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 13

Spartan Daily, February 17, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 11

Exploring Bilingual Coding For Inclusive Computer Science Learning, Ethel Tshukudu, Neel Asheshbhai Shah, Thien Khang Kieu, Leqaa Deeb, Harshitha Venkateswaran, Aarav Ghai, Yusuf Gadelrab, Purujit Hada

Faculty Research, Scholarly, and Creative Activity

As computing education expands globally, the dominance of English in programming languages can present barriers for students who are not native English speakers. This research work investigates whether language matters in programming by examining how a bilingual programming workshop influences student attitudes, perceived understanding and comfort. Sixty bilingual participants from San Jose State University, 40 with little to no prior programming experience and 20 experienced programmers completed a two-hour workshop using the multilingual Hedy platform. Pre- and post-surveys measured changes in confidence, enjoyment, motivation, identity, and usefulness, complemented by open-ended questions about participants’ experiences. All students showed improvements across most …

Insights Into The Influence Of The Greenland Ice Sheet On Oceanic Macronutrient Dynamics From Decades Of Historical Data, Xin Huang, Yuanyuan Gu, Hilde Oliver, Dustin Carroll, Thomas Juul-Pedersen, Lorenz Meire, Mark J. Hopwood

Faculty Research, Scholarly, and Creative Activity

Increasing freshwater discharge from the cryosphere has the potential to affect mechanisms that regulate the supply of macronutrients to primary producers in the ocean. Although numerous studies have characterized the biogeochemical effects of freshwater discharge from the Greenland Ice Sheet within fjords, it is unclear to what extent these effects propagate offshore and whether or not seasonal macronutrient availability in Greenland's shelf seas has changed since annual freshwater discharge increased in the mid-1990s. Here, we collate and scrutinize extensive work undertaken over the past century to constrain macronutrient distributions in Greenland's coastal seas. From 1929 to 2022, over 38,000 publicly …

Design, Fabrication, And Control Of A New Ceramic 3d Printer, Sam Choppala, Armin Allam, Zichen Fang, Amir Armani

Faculty Research, Scholarly, and Creative Activity

Ceramic on-demand extrusion (CODE) is a new material extrusion additive manufacturing process for advanced ceramics. Studies have demonstrated capability of CODE in producing ceramic parts with superior mechanical properties. The objective of this study was to develop the next generation of CODE printer. The frame, gantry system, extrusion head, oil tank, and radiation subsystem were designed, fabricated, and controlled. Ceramic slurries were developed and fed to the extruder that prints parts onto a bedplate. Green parts were then subject to postprocessing, including drying, debinding, and sintering. Composites and functionally graded materials were created using CODE to further study the process.

Spartan Daily, February 12, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 10

Sjsu Erfa Board Minutes, December 1, 2025, San Jose State University, Emeritus And Retired Faculty Association

SJSU ERFA Minutes

SJSU ERFA Executive Board Minutes

December 1, 2025

Motivating Passion And Purpose In Grade Six Students Through Game-Based Learning, Violet H. Harada, Patricia Louis

Learning Hub

This article examines how a sixth-grade pathways course at Kamehameha Schools in Hawai‘i leveraged Game-Based Learning (GBL) and Indigenous knowledge to foster student agency, creativity, and environmental stewardship. Designed and taught by school librarian Patricia Louis with support from a multidisciplinary instructional team, the Nā Lawai‘a Hawai‘i (Fishing, Hawaiian Style) elective engaged students in researching the ‘Ama‘ama (Hawaiian striped mullet) and the ecological challenges it faces, then translating their learning into the design of a board game, ‘Ama‘ama Escape. Grounded in constructivist, learning-by-making principles, the course guided students through an iterative design process that included inquiry, collaboration, prototyping, and playtesting. …

Development Of Sustainable Red Algae–Sisal Fiber Composite Films Via Doctor Blading, Matthew Richards, Joshua Baird, Noah Serda, Vuong Do, Yanika Schneider

Faculty Research, Scholarly, and Creative Activity

This study investigated the properties of red algae (RA) biocomposite films reinforced with natural sisal fibers and plasticized with glycerol. The polymer was extracted from locally sourced red seaweed and combined sisal fibers at varying fiber loadings (0–45 wt%) using the doctor blading technique. Composite films were analyzed using a variety of methods to evaluate the chemical composition, thermal behavior and mechanical performance. Infrared spectroscopy confirmed the presence of kappa-carrageenan as the dominant polysaccharide in the RA matrix, whereas elemental analysis verified the dilution of sulfur content and enrichment of carbon with increasing fiber incorporation. Thermal stability increased with fiber …

Spartan Daily, February 5, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 7

Spartan Daily, February 3, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 5

A Prepositional Cycle In French, Fabienne Martin, Yining Nie, Artemis Alexiadou

Faculty Research, Scholarly, and Creative Activity

This paper discusses the morphosyntax and semantics of locative prepositions in French, with a particular focus on the prefix de-in complex prepositions (e.g., en dessous de [in from.under of] ‘below’) and in axial nominalizations (e.g., le dessous de [the from.under of] ‘the bottom part/region of’). We propose that in these formations, de-, which developed historically from an ablative marker, retains a Source semantics and lexicalizes the function PROJECT, which defines the region outward from the axial part of an object (Matushansky & Zwarts, 2019). We support our analysis with a corpus study on French child data showing that children acquiring …

Alternative Project Delivery Methods In California: The Path Forward, Ghada M. Gad, Maria Calahorra Jimenez, Chaimae Nacir, Ronald Shrestha

Mineta Transportation Institute

Alternative Project Delivery Methods (APDMs) are increasingly being recognized as effective alternatives to the traditional Design-Bid-Build (DBB) approach for transportation projects. As APDMs gain traction among California’s transportation agencies, understanding the legislative frameworks that enable their use and the characteristics of each method is critical. This study benchmarks the existing use of APDMs in California transportation agencies of varying types and sizes, while considering the characteristics (advantages and barriers/challenges to implementation) of each APDM and the authorizations enabling its implementation. Based on these findings, it also provides recommendations for key factors to consider in APDM selection and implementation. The study …

A Hydrogen Hub Blueprint For The California Supply Chain, Tyler Reeb, Barbara Taylor

Mineta Transportation Institute

As global climate targets tighten and state regulations accelerate, hydrogen technology presents a significant opportunity to help California supply chain and transportation stakeholders comply with state emissions mandates and global goals aimed to reduce the impacts of climate change. However, while fuel cell costs and infrastructure have received attention, workforce development remains overlooked. Hydrogen fuel cell electric vehicles (FCEVs) are especially promising for diesel-reliant sectors that are hard to decarbonize without negatively impacting operational efficiency. But scaling hydrogen vehicles and infrastructure in tandem with emerging consumer and industrial markets will not be easy. State and federal policies, often conflicting, further …

Ntdscope: A Multi-Contrast Portable Microscope For Disease Diagnosis, María Díaz De León Derby, Zaina L. Moussa, Carlos F. Ng, Abdul M. Bhuiya, Joana P. Cabrera, Dipayan Banik, Charles B. Delahunt, Matthew D. Keller, Anne Laure M. Le Ny, Jaime Garcia-Villena, Elena Dacal, David Bermejo-Peláez, Daniel Cuadrado, Miguel Luengo-Oroz, Hugues C. Nana Djeunga, Joseph Kamgno, Linda Djune Yemeli, Victor Pahl, Neil A. Switz, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Accurate diagnostics are essential for disease control and elimination efforts. However, access to diagnostics for neglected tropical diseases (NTDs) is hindered by limited healthcare infrastructure in many NTD-endemic regions, as well as by reliance on time- and labor-intensive diagnostic methods, such as smear microscopy. New diagnostic tools that are portable, rapid, low-cost, and meet World Health Organization (WHO) sensitivity and specificity targets are urgently needed to accelerate NTD control and elimination programs. Here, we introduce the NTDscope, a portable microscopy platform that enables point-of-care imaging and automated detection of parasites and other pathogens in patient samples. The NTDscope builds on …

Spartan Daily, January 29, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 4

Spartan Daily, January 28, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 3

Crispr Screens In Ipsc-Derived Neurons Reveal Principles Of Tau Proteostasis, Avi J. Samelson, Nabeela Ariqat, Justin Mcketney, Gita Rohanitazangi, Celeste Parra Bravo, Rudra S. Bose, Kyle J. Travaglini, Victor L. Lam, Darrin Goodness, Thomas Ta, Gary Dixon, Emily Marzette, Julianne Jin, Ruilin Tian, Eric Tse, Romany Abskharon, Henry S. Pan, Emma C. Carroll, Rosalie E. Lawrence, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Aggregation of the protein tau defines tauopathies, the most common age-related neurodegenerative diseases, which include Alzheimer’s disease and frontotemporal dementia. Specific neuronal subtypes are selectively vulnerable to tau aggregation, dysfunction, and death. However, molecular mechanisms underlying cell-type-selective vulnerability are unknown. To systematically uncover the cellular factors controlling the accumulation of tau aggregates in human neurons, we conducted a genome-wide CRISPRi screen in induced pluripotent stem cell (iPSC)-derived neurons. The screen uncovered both known and unexpected pathways, including UFMylation and GPI anchor biosynthesis, which control tau oligomer levels. We discovered that the E3 ubiquitin ligase CRL5^SOCS4 controls tau levels in …

Sjsu Erfa Board Minutes, November 3, 2025, San Jose State University, Emeritus And Retired Faculty Association

SJSU ERFA Minutes

SJSU ERFA Executive Board Minutes

November 3, 2025

Enhancing The Mechanical Properties Of Epoxy With Graphene Quantum Dots: A Molecular Dynamics Study, Swapnil S. Bamane, Prathamesh P. Deshpande, Folarin Erogbogbo, Ozgur Keles

Faculty Research, Scholarly, and Creative Activity

Polymers are the key to the next generation of high-performance materials for their applications in aerospace, defense, and energy. Thermoset polymers like epoxy are widely used as a matrix material in composites due to their ease of processability and compatibility with reinforcement materials. There have been significant efforts in the development of polymer materials properties using nanofillers such as graphene, carbon nanotubes, rubber, and metal oxides. However, graphene quantum dots (GQD), a zero-dimensional nano-scale filler material, have not been extensively explored towards improvement of the mechanical properties of polymers. The objective of this study is to understand the effects of …

Scaling Pedestrian Crossing Analysis To 100 U.S. Cities Via Ai-Based Segmentation Of Satellite Imagery, Marcel E. Moran, Arunav Gupta, Jiali Qian, Debra Laefer

Faculty Research, Scholarly, and Creative Activity

Accurately measuring street dimensions is essential to evaluating how their design influences both travel behavior and safety. However, gathering street-level information at city-scale with precision is difficult given the quantity and complexity of urban intersections. To address this challenge in the context of pedestrian crossings — a crucial component of walkability — we introduce a scalable and accurate method for automatically measuring crossing distance at both marked and unmarked crosswalks, applied to America’s 100 largest cities. First, OpenStreetMap coordinates were used to retrieve satellite imagery of intersections throughout each city — totaling roughly three million images. Next, Meta’s Segment Anything …