Digital Commons Network^™

Mechano-Lysis In Whole Blood Clots: On How Mechanics Affect Clot Lysis, And How Lysis Affects Clot Mechanics, Grace N. Bechtel, Gabriella P. Sugerman, Tatum Eades, Zuzanna Malinowska, Adam M. Bush, Hamidreza Saber, Sapun H. Parekh, Manuel K. Rausch

Faculty Research, Scholarly, and Creative Activity

Thromboembolic diseases are a significant cause of mortality and are clinically treated enzymatically with tissue plasminogen activator (tPA). Interestingly, prior studies in fibrin fibers and fibrin gels have demonstrated that thrombolysis may be mechanically sensitive. This study aims to expand mechano-lytic studies to whole blood clots. Furthermore, this study investigates not only how mechanics impacts lysis but also how lysis impacts mechanics. Therefore, clots made from whole human blood are exposed to tPA while the clots are either stretched or unstretched. After, the resulting degree of clot lysis is measured by weighing the clots and by measuring the concentration of …

Evaluation Of Long-Term Performance Of Transportation Earthworks Prone To Weather-Driven Deterioration Under Changing Climate, Amr Morsy, Emma Varela

Mineta Transportation Institute

Embankments are key transportation infrastructure features providing essential support for long, linear stretches of transportation infrastructure, including highways and railways, in California and globally. Clay embankments are susceptible to weather-related deterioration processes that can gradually compromise their stability and, in some cases, lead to unexpected failures. Climate change, along with the associated shifts in weather patterns, is projected to adversely impact weather-related deterioration processes, leading to exacerbated failures and/or shorter service life. This study evaluated the impact of climate change on the rate of weather-driven deterioration of embankments in two locations in California: Los Angeles and Sacramento. Specifically, a multi-phase …

Sjsu Erfa News, Spring 2025, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 38, No 3

Archeota, Spring/Summer 2025, Nicholas Haynes, Stacy L. Vandenput, Jesse Jacobs

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: Happy 10th Birthday Archeota! Celebrating Archeota's 10 Year Anniversary by Gwendolyn Smith Beyond Survival: The Fragility of Context in Digital Archives by Nicholas Haynes “Records Doulas” and the Case for Patient Records Advocacy: An Emerging Role for Archivists by Stacy L. Vandenput Preserving Play: Memory, Meaning, and the Soul of …

Movie Review Sentiment Analysis, Dhruhi Sheth, Maryam Khazaei Pool

Faculty Research, Scholarly, and Creative Activity

Sentiment analysis of movie reviews is a significant application of Natural Language Processing (NLP) that determines whether a review expresses a positive or negative opinion. This analysis is valuable for understanding audience feedback, market trends, and consumer preferences (1-2).The goal of this project is to classify movie reviews as positive or negative using basic NLPheuristics without relying on advanced machine learning or deep learning models.The primary contribution of this research is demonstrating that straightforward heuristic methods, such as word frequency analysis and simple rule-based systems, can achieve reasonable accuracy (3-4). While advanced methods typically offer higher accuracy, heuristic-based models provide …

Performance Testing Of Asphalt Binder Modified With Amine-Impregnated Zeolite And Plastic In Hot Mix Asphalt To Reduce Carbon Footprint, Shadi Saadeh, Unmona Aditi, Mohammad Javad Kazemi, Elham Fini, Roger Khoudessian

Mineta Transportation Institute

The rise in global temperatures, driven in part by significant transportation carbon emissions, necessitate sustainable solutions for infrastructure. Traditional asphalt binders and lime additives significantly contribute to carbon emissions, and conventional liquid amine-based antistrip agents, which are used to reduce moisture damage, lose efficacy over time. This study evaluates the performance of PG 64-16 Low Carbon binder, incorporating 10% post-consumer plastic and amine-impregnated zeolite (AIMZ) as a protective carrier for liquid amines. Researchers compare this low-carbon binder to conventional PG 64-16 binder and evaluate AIMZ against amine and zeolite separately (AZ) and a commercial liquid antistrip (LAS). The study tests …

Latent Active Transportation Methodology, Maria Chierichetti, Fatemeh Davoudi Kakhki

Mineta Transportation Institute

Understanding and estimating latent demand for active transportation, such as walking and cycling, is essential for designing infrastructure and policies that promote sustainable mobility. Unlike traditional demand models that focus on observed trips, latent demand estimation seeks to quantify the unrealized potential for active travel due to barriers such as inadequate infrastructure, safety concerns, or lack of connectivity. This study develops a comprehensive latent demand model tailored for California, integrating geospatial analysis and multimodal accessibility assessments. The methodology employs a GIS-based corridor analysis approach, utilizing spatial accessibility metrics and distance decay functions to evaluate potential demand. It incorporates employment and …

Fuel Cell System Development For Heavy Duty Vehicles, Yu Yang, Hen-Geul Yeh, Bryan Aguirre

Mineta Transportation Institute

As California advances its ambitious goals for transportation electrification to combat climate change, hydrogen-powered fuel cells are emerging as a viable solution for overcoming the challenges of heavy-duty vehicles, offering an efficient alternative to lithium-ion batteries because they produce minimal chemical, thermal, and carbon emissions. One type of hydrogen fuel cell technology called proton exchange membrane fuel cells (PEMFCs) has garnered the most attention due to its distinct advantages, including relatively low operating temperatures (60–80 °C) and reliable performance at high current densities. However, despite their promise, PEMFCs face challenges, including in optimizing stack power output and safety concerns. To …

Deep Learning For Non-Invasive Blood Pressure Monitoring: Model Performance And Quantization Trade-Offs, Anbu Valluvan Devadasan, Saptarshi Sengupta, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

The development of non-invasive blood pressure monitoring systems remains a critical challenge, particularly in resource-constrained settings. This study proposes an efficient deep learning framework integrating Edge Artificial Intelligence for continuous blood pressure estimation using photoplethysmography (PPG) signals. We evaluate three architectures: a residual-enhanced convolutional neural network, a transformer-based model, and an attentive BPNet. Using the MIMIC-IV waveform database, we implement a signal processing pipeline with adaptive filtering, statistical normalization, and peak-to-peak alignment. Experiments assess varying temporal windows (10 s, 20 s, 30 s) to optimize predictive accuracy and computational efficiency. Attentive BPNet achieves the best performance, with systolic blood pressure …

Unveiling The Transformative Power Of Unsupervised Machine Learning Through Clustering, Vishnu S. Pendyala

Open Educational Resources

Clustering methods demonstrated their transformative potential across various industries through image segmentation, anomaly detection, bioinformatics, and customer segmentation. The presentation explores these techniques in unsupervised machine learning, focusing on foundational clustering algorithms such as K-means, Hierarchical Clustering, and DBSCAN. Through an in-depth analysis of their underlying principles and computational intricacies, the presentation highlights how these methods have evolved to address complex, high-dimensional data problems. The presentation provides insights into how K-means remains a versatile tool for partitioning data in linear spaces. It delves into Hierarchical Clustering's unique approach to building dendrograms and capturing multi-scale data relationships, and how DBSCAN's density-based …

Electronic Information Resources Use And Teaching Effectiveness Of Academic Staff Of Selected Universities In Oyo State, Nigeria, Yinka Joba Olawale, Adebayo Muritala Adegbore Dr., Mary Oluwabukola Akinolu Mrs

Library Philosophy and Practice (e-journal)

Access to relevant information resources play a critical role in fostering learning environment. Prior investigation showed that there is a dearth of research on the use of electronic information resource amongst academic staff in universities. Previous studies also focused on electronic information resource use by students. This study, was therefore carried out to examine electronic information resources use on the perceived teaching effectiveness of the academic staff in the selected universities in Oyo state, Nigeria.

The theory of action and the cognitive-behavioral theory provided the framework for this study. Descriptive survey research design was adopted. 1,705 academic staff of the …

Spartan Daily, March 20, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 25

Spartan Daily, March 19, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 24

Covid-19 Conspiracies: A Bodyguard Of Lies, Chris Hables Gray

Secrecy and Society

No abstract provided.

Mal-Information, The Anatomy Of An “Information Disorder”, Susan Maret

Secrecy and Society

Mal-information is a fairly recent addition to federal policy and the lexicon of political communication with implications for understanding censorship and secrecy during the COVID-19 pandemic. This paper reviews documents authored by IGOs, NGOs, and the US government that mark the evolution of mal-information as true information intended to cause harm. The term, as it is currently employed, is now associated with misinformation and disinformation to create a complex of “information disorders” known as the acronym MDM. In this paper, the creep of the term mal-information and its use by federal agencies such as the Cybersecurity and Infrastructure Security Agency …

Covid Cover-Up: Secrecy, Censorship And Suppression During The Pandemic, Brian Martin

Secrecy and Society

During the height of the COVID-19 pandemic, most health authorities, governments, and mass media organizations presented a single official view concerning lockdowns, masking, distancing, and vaccines. The methods used against contrary views can be classified into four types: flooding, ignoring, censoring, and attacking. The method of information flooding involves presenting dominant views in a unified front, overwhelming contrary views by volume and consistency. The method of ignoring includes the absence of research on alternative approaches, failure to report on research contrary to orthodoxy, and not mentioning challenging views. Censoring involves active measures to prevent the circulation of contrary information and …

Introduction, Special Issue On Pandemic Secrecy: The Covid Origin Story And Pandemic Risk Society, Susan Maret

Secrecy and Society

No abstract provided.

Spartan Daily, March 18, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 23

University Librarians’ Level Of Familiarity With And Use Of Web 2.0 Technologies: The Case Study Of Two Iranian Universities, Hadis Khedri

Library Philosophy and Practice (e-journal)

The present study aimed to determine the level of familiarity with and use of Web 2.0 technologies among librarians at the Isfahan University of Medical Sciences and the University of Isfahan. This research is applied in terms of its objective and descriptive in terms of its method. The statistical population of the study consisted of 135 librarians working in the libraries of the Isfahan University of Medical Sciences and the University of Isfahan. Due to the limited number of participants, total population sampling was conducted. Data were collected using the “Library 2.0 Tools” questionnaire, developed by Hosseini Shoar and Bahrami …

Spartan Daily, March 13, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 161, Issue 22

Spartan Daily, March 11, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 20

Frequent Disturbance To A Foundation Species Disrupts Consumer-Mediated Nutrient Cycling In Giant Kelp Forests, Joseph R. Peters, Daniel C. Reed, June Shrestha, Scott L. Hamilton, Deron E. Burkepile

Faculty Research, Scholarly, and Creative Activity

Structure-forming foundation species facilitate consumers by providing habitat and refugia. In return, consumers can benefit foundation species by reducing top-down pressures and increasing the supply of nutrients. Consumer-mediated nutrient dynamics (CND) fuel the growth of autotrophic foundation species and generate more habitat for consumers, forming reciprocal feedbacks. Such feedbacks are threatened when foundation species are lost to disturbances, yet testing these interactions requires long-term studies, which are rare. Here, we experimentally evaluated how disturbance to giant kelp, a marine foundation species, affects (1) CND of the forest animal community and (2) nutrient feedbacks that help sustain forest primary production during …

Influence Of Attitude As A Catalyst On The Productivity Level Of Cataloguers In Tertiary Institutions’ Libraries In Edo State, Nigeria, Olalekan Ola

Library Philosophy and Practice (e-journal)

As soon as librarians are productive based on their positive attitude, it is expected that libraries will perform optimally. In circumstances where catalogers are less productive or lack a good attitude, the long-lasting effect will be felt by end users. It is in this regard, that this study investigates the influence of attitude as a catalyst on the productivity level of catalogers in tertiary institutions’ libraries in Edo State, Nigeria. A descriptive survey research design was adopted for this study. The population was comprised of 81 catalogers in Edo State. The study made use of a total enumeration sampling technique. …

Spartan Daily, March 5, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 18

Spartan Daily, March 4, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 17

Investigating The Conversion Of A Signalized Intersection To A Turbo Roundabout, Vyshnavi Shetty, Mycola Sauciur, Anurag Pande

Mineta Transportation Institute

Turbo roundabouts are multilane roundabouts with helical pavement markings and raised structures. While they have seen widespread use in Europe, California is only the second state in the U.S. (after Florida) to have installed a turbo roundabout. Turbo roundabouts separate the ingress and circulating roadways. The concept was proposed and implemented in the Netherlands to mitigate congestion by improving traffic flow efficiency and addressing safety concerns on conventional multilane roundabouts. This research evaluates the first-ever turbo roundabout in California and compares its safety and operational performance with the previously existing 4-legged signalized intersection. The research team obtained safety and operational …

Smart Highway Construction Site Monitoring Using Artificial Intelligence, Mehran Mazari, Yahaira Nava-Gonzalez, Ly Jacky N. Nhiayi, Mohamad H. Saleh

Mineta Transportation Institute

Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes. Our goal was to find the optimized balance between the model capabilities in object detection and memory processing requirements. …

Mastering High-Speed And Low Power Hardware System Design, Kush Desai, Khushbu Shah

Student RSCA

The book “Mastering High-speed and Low-Power Hardware System Design” provides a comprehensive guide to the intricacies of designing embedded systems with a focus on high-speed and low-power constraints. It begins by introducing the fundamental components of embedded systems, including hardware, software, and real-time operating systems, before diving into the essential principles of PCB design. The book emphasizes the importance of understanding the printed circuit board (PCB) as a foundational element in creating electronic devices and explores the various types of PCBs, such as rigid, flexible, and rigid-flex, discussing their unique applications and benefits.

A significant portion of the book is …

Assessing The Perceived Safety Of Cyclists With Virtual Reality, Vahid Balali

Mineta Transportation Institute

In 2022, 7,522 pedestrians and 1,084 bicyclists were killed and approximately 67,000 pedestrians and 46,195 bicyclists injured in motor vehicle crashes on public roadways in the United States, according to the Insurance Institute for Highway Safety (IIHS). The transportation industry is faced with a pressing need to bolster the safety of these vulnerable road users. This research develops models of design and environmental factors that influence bicyclists’ and pedestrians’ perception of safety using Virtual Reality (VR) technology and ultimately informs transportation infrastructure design to better accommodate nonmotorized travelers. The goal of the bicycle element of this research is to develop …

Renewable Electricity Management Cloud System For Smart Communities Using Advanced Machine Learning, Yukta Mehta, Vincent Lo, Vijen Mehta, Kunal Agrawal, Charan Teja Madabathula, Eugene Chang, Jerry Gao

Faculty Research, Scholarly, and Creative Activity

Based on the renewable energy assessment in 2023, it was found that only 21% of total electricity is generated using renewable sources. As the global demand for electricity rises in the AI world, the need for electricity management will increase and must be optimized. Based on research, many companies are working on green AI electricity management, but few companies are working on predicting shortages. To identify the rising electricity demand, predict the shortage, and to bring attention to consumption, this study focuses on the optimization of solar electricity generation, tracking its consumption, and forecasting the electricity shortages well in advance. …