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Molecular Fluctuations Inhibit Intermittency In Compressible Turbulence, Ishan Srivastava, Andrew Nonaka, Weiqun Zhang, Alejandro Luis Garcia, John B. Bell
Molecular Fluctuations Inhibit Intermittency In Compressible Turbulence, Ishan Srivastava, Andrew Nonaka, Weiqun Zhang, Alejandro Luis Garcia, John B. Bell
Faculty Research, Scholarly, and Creative Activity
In the standard picture of fully developed turbulence, highly intermittent hydrodynamic fields are nonlinearly coupled across scales, where local energy cascades from large scales into dissipative vortices and large density gradients. Microscopically, however, constituent fluid molecules are in constant thermal (Brownian) motion, but the role of molecular fluctuations in large-scale turbulence is largely unknown, and with rare exceptions, it has historically been considered irrelevant at scales larger than the molecular mean free path. Recent theoretical and computational investigations have shown that molecular fluctuations can impact energy cascade at Kolmogorov length scales. Here, we show that molecular fluctuations not only modify …
Broadening Workforce Participation In Transportation: Challenges And Strategies, Jodi Godfrey, Stephanie Ivey
Broadening Workforce Participation In Transportation: Challenges And Strategies, Jodi Godfrey, Stephanie Ivey
Mineta Transportation Institute
Attracting and retaining a diverse, skilled workforce remains one of the most pressing challenges in the transportation industry. A new MTI-led California State University Transportation Consortium report examines why workforce participation gaps persist and identifies practical strategies organizations can implement to address them. Drawing on an extensive literature review, a nationwide industry survey with 996 respondents, and in-depth interviews with 15 transportation professionals, the study highlights both the barriers and the solutions to workforce participation. The findings emphasize that open dialogue, intentional investment, and inclusive workplace policies can help transform industry culture, making transportation careers more appealing to a broader …
Fresno’S Scribbles Bike Path: A Master Plan For Active Transportation, Holly Sowles, Uris Giron
Fresno’S Scribbles Bike Path: A Master Plan For Active Transportation, Holly Sowles, Uris Giron
Mineta Transportation Institute
The Fresno Scribbles Bike Path Master Plan, which represents a commitment to equitable active transportation and social infrastructure, is designed to enhance the quality of life for Fresno residents by providing safe, comfortable, and accessible biking and walking paths while promoting sustainability and fostering a sense of community. This report details the Intelligent Design Visualization Lab’s (IDVL) ongoing contribution to the Fresno City Scribbles Bike Campus initiative. This multifaceted urban intervention seeks to promote bike and pedestrian safety, enhance environmental resilience, and active transportation infrastructure through design, serving as a form of placemaking. In collaboration with the Fresno State Transportation …
Use Of Polymer Fiber To Improve Mechanical Properties Of Hma Containing Recycled Asphalt Pavement (Rap), Ashraf Rahim, Shadi Saadeh, Hani Al Zaraiee
Use Of Polymer Fiber To Improve Mechanical Properties Of Hma Containing Recycled Asphalt Pavement (Rap), Ashraf Rahim, Shadi Saadeh, Hani Al Zaraiee
Mineta Transportation Institute
A great percentage of highways and roads in California are constructed with Hot Mix Asphalt (HMA), and, as California infrastructure ages, these highways and roads must be maintained and rehabilitated. Reclaimed Asphalt Pavement (RAP) is considered an excellent alternative to virgin (raw, unprocessed) materials because it reduces the use of virgin aggregate and binder. Also, the use of RAP decreases the amount of construction waste placed into landfills. This laboratory study investigated the effect of two different commercial polymer fibers on the mechanical properties of HMA with RAP. Three different HMA with RAP mixes were used in the study. One …
Spartan Daily, October 30, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 30, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 30
Pra…We Went With It!: Sjsu's Decision To Enable Primo Research Assistant, Christine Holmes, Sharesly Rodriguez
Pra…We Went With It!: Sjsu's Decision To Enable Primo Research Assistant, Christine Holmes, Sharesly Rodriguez
Faculty Research, Scholarly, and Creative Activity
After a year-long evaluation, the Primo Research Assistant Team at SJSU Library decided to enable the AI tool within OneSearch. Our presentation will cover the evaluation process, including a responsible AI framework and insights from user testing involving library faculty, staff, and students. Our testing revealed that 78% of participants approved the tool, recognizing its potential to simplify initial research consultations and assist students with developing research questions. We will also discuss key takeaways, support resources, and future plans. The session will touch upon discussions regarding AI ethics, biases, misinformation, privacy, and environmental impact.
Spartan Daily, October 29, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 29, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 29
Spartan Daily, October 28, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 28, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 28
Spartan Daily, October 23, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 23, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 27
An Investigation Of Corrective Approaches For Uncertain Winds And Analysis Of Impacts On Smoke Model Performance, Zongrun Li, Susan M. O'Neill, Rime El Asmar, Yongtao Hu, Adam K. Kochanski, Angel Farguell, Jan Mandel, David J. Tanner, L. Gregory Huey, Armistead G. Russell, Rodney J. Weber, M. Talat Odman
An Investigation Of Corrective Approaches For Uncertain Winds And Analysis Of Impacts On Smoke Model Performance, Zongrun Li, Susan M. O'Neill, Rime El Asmar, Yongtao Hu, Adam K. Kochanski, Angel Farguell, Jan Mandel, David J. Tanner, L. Gregory Huey, Armistead G. Russell, Rodney J. Weber, M. Talat Odman
Faculty Research, Scholarly, and Creative Activity
In wildland fires, wind affects fire propagation, emission intensity, and smoke transport; therefore, uncertainties in wind simulations can critically impact PM2.5 concentration produced by coupled fire-atmosphere models or chemical transport models. These uncertainties must be addressed prior to assessing other parameters that may affect model-predicted PM2.5 concentrations through comparisons with observations. This study simulated prescribed fire events with accurate ignition pattern design and high spatial-temporal resolutions using the coupled fire-atmosphere model WRF-SFIRE. We designed, implemented, and evaluated various wind bias reduction and smoke model evaluation methods to quantitatively capture the impacts of wind uncertainty on simulated smoke concentrations. For the …
Algorithmic Collusion Among Ev Charging Stations With Independent Reinforcement Learning Agents, Yulin Zeng, Yiheng Zhao, Yuanliang Li, Yefeng Yuan, Jie Gao, Hepeng Li, Xiao'ou Yang, Hohyun Lee, Yuhong Liu, Jun Yan
Algorithmic Collusion Among Ev Charging Stations With Independent Reinforcement Learning Agents, Yulin Zeng, Yiheng Zhao, Yuanliang Li, Yefeng Yuan, Jie Gao, Hepeng Li, Xiao'ou Yang, Hohyun Lee, Yuhong Liu, Jun Yan
Faculty Research, Scholarly, and Creative Activity
Recent advancements in reinforcement learning (RL) have significantly enhanced the autonomous decision-making capabilities of energy systems. In the realm of electric vehicle (EV) charging stations, operators aim to autonomously learn optimal pricing strategies based on local observations and user behavior. Traditional multi-agent reinforcement learning (MARL) approaches often assume cooperative settings with reward sharing or communication, real-world EV charging infrastructures are typically decentralized and competitive. This paper investigates the potential for tacit collusion in such realistic, non-cooperative environments. By leveraging decentralized MARL, we show that independently trained agents can still exhibit emergent collusive behaviors. Our findings highlight a critical need for …
High-Stakes Exams Inflate A Gender Gap And Contribute To Systematic Grading Errors In One Introductory Physics Series, David J. Webb, Cassandra Paul
High-Stakes Exams Inflate A Gender Gap And Contribute To Systematic Grading Errors In One Introductory Physics Series, David J. Webb, Cassandra Paul
Faculty Research, Scholarly, and Creative Activity
Previous research has suggested that changing the percentage of the course grade associated with exam grades in science, technology, engineering, and mathematics courses can change the gender gap in the course. It has also been shown that high-stakes assessments yield the lowest (relative) scores for female students. Previous research by the authors has shown that implementing retake exams can eliminate the gender gap in introductory physics courses. This paper explores several different hypotheses for why retake exams are associated with a zeroed gender gap. Two independent measurements comparing exams with different stakes are used in support of the argument that …
Exploring The Role Of Culture And Bilingualism In Programming Activities: Lessons From African Educators, Emma R. Dodoo, Katharine Childs, Ethel Tshukudu
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
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 …
Phase Transitions In An Ising Model Of Agent Expectations In Financial Markets: Analytics And Numerical Results In One And Two-Dimensional Network Topologies, Marko Raseta, Steven D. Silver, Alina Bazarova
Phase Transitions In An Ising Model Of Agent Expectations In Financial Markets: Analytics And Numerical Results In One And Two-Dimensional Network Topologies, Marko Raseta, Steven D. Silver, Alina Bazarova
Faculty Research, Scholarly, and Creative Activity
We cite correspondences between dynamics in competitive markets and information theory in the objective of recovering signal from noisy information sequences. In financial markets, this objective has been examined as recovering signal on phase transitions between ordered and disordered states of agents in the market. These transitions have been indicated to denote critical points in time series of market price. Although there is a noteworthy background in information theory in the study of the dynamics of the Ising model in this manuscript, we pursue a different modeling approach. Whereas phase transitions in a multicomponent model of market states have previously …
Spartan Daily, October 16, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 16, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 24
Spartan Daily, October 15, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 15, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 23
Spartan Daily, October 14, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 14, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 22
Engaged Climate Change Pedagogy: Lessons From 15 Years Of Interdisciplinary Climate Change Education, J. Alejandro Artiga-Purcell, Costanza Rampini, Anne Marie Todd, Eugene C. Cordero
Engaged Climate Change Pedagogy: Lessons From 15 Years Of Interdisciplinary Climate Change Education, J. Alejandro Artiga-Purcell, Costanza Rampini, Anne Marie Todd, Eugene C. Cordero
Faculty Research, Scholarly, and Creative Activity
This article explores lessons learned from 15 years of an interdisciplinary, team-taught course on global climate change at a minority-serving public university in the United States San Francisco Bay Area integrating climate science with policymaking, public communication strategies, and principles of climate justice. First taught in 2007, 16 faculty from 5 different departments collaborated across disciplines to produce innovative teaching practices and curriculum design that evolved through each iteration of the course. Theme analysis of two roundtable discussions with course instructors identified three themes: changing course context, integrative learning, and community engagement. The essay concludes with lessons learned from this …
Integration Of Uav And Remote Sensing Data For Early Diagnosis And Severity Mapping Of Diseases In Maize Crop Through Deep Learning And Reinforcement Learning, Jerry Gao, Krinal Gujarati, Meghana Hegde, Padmini Arra, Sejal Gupta, Neeraja Buch
Integration Of Uav And Remote Sensing Data For Early Diagnosis And Severity Mapping Of Diseases In Maize Crop Through Deep Learning And Reinforcement Learning, Jerry Gao, Krinal Gujarati, Meghana Hegde, Padmini Arra, Sejal Gupta, Neeraja Buch
Faculty Research, Scholarly, and Creative Activity
Highlights: What are the main findings? A framework combining UAV, satellite, and weather data to detect crop diseases. Ensemble deep learning and reinforcement learning improve classification and severity mapping. What is the implication of the main finding? Enables near real-time, scalable crop disease management to reduce yield losses. Early detection and hotspot mapping optimize water and pesticide use for sustainability. Accurate and timely prediction of diseases in water-intensive crops is critical for sustainable agriculture and food security. AI-based crop disease management tools are essential for an optimized approach, as they offer significant potential for enhancing yield and sustainability. This study …
Urban Air Mobility Vertiports: A Bibliometric Analysis Of Applications, Challenges, And Emerging Directions, Yannan Lu, Weili Zeng, Wenbin Wei, Weiwei Wu, Hao Jiang
Urban Air Mobility Vertiports: A Bibliometric Analysis Of Applications, Challenges, And Emerging Directions, Yannan Lu, Weili Zeng, Wenbin Wei, Weiwei Wu, Hao Jiang
Faculty Research, Scholarly, and Creative Activity
Vertiports, as the foundational ground infrastructure for Urban Air Mobility (UAM), have garnered increasing scholarly attention in recent years. To examine how the existing literature has reviewed and summarized vertiport-related knowledge, this study conducts a bibliometric analysis of publications (2000–2024) from four major databases, including Web of Science and Scopus, using VOSviewer and CiteSpace. By analyzing co-citation and keyword co-occurrence patterns, the results suggest that vertiport research frontiers are shifting toward facility location, network planning, airspace and scheduling management, scalable infrastructure, and integration with ground transport systems. Scholars and institutions in the United States, China, Europe, and South Korea have …
Sensing The Pulse Of A Data Stream In Real Time, Vishnu S. Pendyala
Sensing The Pulse Of A Data Stream In Real Time, Vishnu S. Pendyala
Open Educational Resources
In an era where data never sleeps, streaming algorithms offer a powerful toolkit for extracting meaningful insights from high-velocity data flows. This talk explores some foundational techniques that enable efficient, real-time analytics with minimal memory requirements. The algorithms covered include a clever bit-based strategy for approximating the count of 1s in a sliding window, ideal for binary streams where space efficiency is paramount. Another algorithm helps estimate statistical moments (mean, variance, skewness) using compact sketches, enabling a deeper understanding of stream distributions without storing the entire dataset. One other algorithm identifies trending items with exponential decay, giving more weight to …
Study On Stage Characteristics And Multi-Factor Optimization Regulation Of Performance Of Ice Thawing Agent In Low Temperature Environment, Junming Mo, Ke Wu, Lei Qu, Wenbin Wei, Jinfu Zhu
Study On Stage Characteristics And Multi-Factor Optimization Regulation Of Performance Of Ice Thawing Agent In Low Temperature Environment, Junming Mo, Ke Wu, Lei Qu, Wenbin Wei, Jinfu Zhu
Faculty Research, Scholarly, and Creative Activity
De-icing agents play a crucial role in winter road maintenance, yet their excessive application can result in pavement deterioration and environmental issues. Existing dosage guidelines lack comprehensive data on the dynamic response of de-icing agents under low-temperature conditions, particularly regarding stage-specific characteristics and multi-factor interactions. This research systematically evaluated the effectiveness of four de-icing agents (NaCl, CaCl2, MgCl2, CH3COOK) within a temperature range of −5 °C to −25 °C, elucidating the two-phase ice-melting process (solid-phase followed by salt solution de-icing) with distinct kinetic mechanisms—a previously underexplored temporal pattern. The study quantified the differential impacts of particle size (small-particle CaCl2 exhibiting …
Cosmopolitan Spirits: Islam And The Experimental Cosmologies Of Egypt's Spiritualist Movement, 1947–1960, Arthur Shiwa Zárate
Cosmopolitan Spirits: Islam And The Experimental Cosmologies Of Egypt's Spiritualist Movement, 1947–1960, Arthur Shiwa Zárate
Faculty Research, Scholarly, and Creative Activity
This article considers the history of Egypt’s mid-twentieth-century Spiritualist movement through an examination of its periodical, a monthly Arabic magazine called Alam al-Ruh (The World of the Spirit) (1947–1960). As it shows, Egyptian Spiritualists defended and promoted their project by crafting an experimental cosmology, one that blended claims about empirical verification with elements of Islamic and Spiritualist cosmologies. It further shows how this combination of scientism and cosmology reflects a core dynamic within the history of scientific exploration in the Islamic world. Like spiritual seekers and occult practitioners in Muslim societies elsewhere, Egyptian Spiritualists positioned their project as one of …
Coastal Water Information Orders: Reverse-Engineering New York City’S Data Dashboards, James A. Hodges, Rachel Paprocki
Coastal Water Information Orders: Reverse-Engineering New York City’S Data Dashboards, James A. Hodges, Rachel Paprocki
Faculty Research, Scholarly, and Creative Activity
This article examines the information systems governing individual relationships to urban coastal waterways, drawing from two data publication initiatives in New York City. In these two cases, data structure and web design features cultivate specific forms of knowledge about water quality, pollution, and the health risks represented by recreational activities such as swimming and fishing. Analysis of the data structure and web source code shows the forms of knowledge concerning water quality each project facilitates or obscures. Findings are considered within the framework of an ‘information order’, which refers to the prevailing conditions for knowledge that are facilitated by communication …
Spartan Daily, October 8, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 8, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 20
Ainr: Automated Intrinsic Non-Rigid Registration For Accuracy Qualification Of Complex Freeform Products In 3d Printing, Weizhi Lin, Qiang Huang
Ainr: Automated Intrinsic Non-Rigid Registration For Accuracy Qualification Of Complex Freeform Products In 3d Printing, Weizhi Lin, Qiang Huang
Faculty Research, Scholarly, and Creative Activity
Non-rigid shape registration identifies the optimal non-rigid transformation between an actual product and its intended design to characterize their geometric dissimilarities. This transformation is usually determined by iteratively minimizing point-wise distances to match points with point-wise rigid motion. However, freeform products may exhibit complex spatial patterns of shape deviation, leading to premature iteration termination due to tradeoffs among local regions. One solution is to segment the complex design into semantic features and perform segment-wise rigid registration. Segment boundaries are typically placed along high-curvature regions, where deviations are more likely occur in 3D printing. However, since boundaries are generally more prone …
Discriminative Regions And Adversarial Sensitivity In Cnn-Based Malware Image Classification, Anish Roy, Fabio Di Troia
Discriminative Regions And Adversarial Sensitivity In Cnn-Based Malware Image Classification, Anish Roy, Fabio Di Troia
Faculty Research, Scholarly, and Creative Activity
The escalating prevalence of malware poses a significant threat to digital infrastructure, demanding robust yet efficient detection methods. In this study, we evaluate multiple Convolutional Neural Network (CNN) architectures, including basic CNN, LeNet, AlexNet, GoogLeNet, and DenseNet, on a dataset of 11,000 malware images spanning 452 families. Our experiments demonstrate that CNN models can achieve reliable classification performance across both multiclass and binary tasks. However, we also uncover a critical weakness in that even minimal image perturbations, such as pixel modification lower than 1% of the total image pixels, drastically degrade accuracy and reveal CNNs’ fragility in adversarial settings. A …
Spartan Daily, October 2, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 2, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 18
Frameworks And Life Cycle Assessment For Reinforced Concrete Bridges For Sustainability In Transportation, Yu-Fu Ko, Jessica Gonzalez
Frameworks And Life Cycle Assessment For Reinforced Concrete Bridges For Sustainability In Transportation, Yu-Fu Ko, Jessica Gonzalez
Mineta Transportation Institute
Bridge structures are critical components of California’s transportation network, with reinforced concrete (RC) bridges being among the most widely used. Extending the lifespan of these structures can lead to significant reductions in environmental impacts. However, California’s frequent seismic activity has repeatedly exposed the vulnerability of existing RC bridges, highlighting the urgent need for seismic retrofitting and maintenance to improve infrastructure resilience against earthquakes and to increase sustainability. This research used detailed computer simulations known as nonlinear finite element models, which are highly detailed computer models, incorporating section damage indices to predict damage and assess structural deficiencies in RC bridges during …