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San Jose Urban Forest – An Open-Source Tree Canopy Surveying and Assessment Tool
No full textThe accurate monitoring of tree canopy coverage is crucial for social and environmental studies as well as city planning. Our goal is to provide a solution that utilizes available resources like yearly aerial imagery to generate tree data to track all tree canopy within a city such as San Jose, CA. By utilizing open-source software and publicly available data, we streamlined the process by eliminating the need for expensive equipment and time-consuming manual efforts associated with traditional methods. The methodology involves the conversion of aerial imagery datasets into geo-referenced TIFF format through a resampling process. To optimize efficiency, we strategically select 2% of the images from the dataset for labeling, minimizing the manual effort required. The labeled images serve as the foundation for training our advanced model, enabling it to accurately identify and categorize individual trees. The result is a highly efficient, cost-effective solution that significantly reduces manual labor while providing precise tree canopy coverage calculations for the entire city. Our approach not only improves accuracy but also enhances scalability for future endeavors such as adaptation to seasonal variations, monitoring tree growth patterns, and identifying areas susceptible to potential canopy loss or even potential adoption of our solution by other cities
Annual SAASC Membership Meeting 09.17.2025
No full textSAASC 2025 Annual Fall Membership Meeting. Where we discussed the semester, shared updates, and planned for the upcoming months.A chance to connect and exchange ideas for Fall activities and events.https://scholarworks.sjsu.edu/saasc_events/1056/thumbnail.jp
Jensen, Billie Barnes (1933-2025)
No full textUniversity of Colorado (magna cum laude), 1955, BA
University of Colorado, 1959, MA
University of Colorado, 1962, PhDhttps://scholarworks.sjsu.edu/erfa_bios/1009/thumbnail.jp
Varona, Federico
Get PDFUSA:
University of Kansas, Major: Organizational Communication. Minor: Intercultural Communication, 1991 Ph.D.
University of Kansas, Major: Organizational Communication Minor: Intercultural Communication, 1988, M.A. [M.A. Thesis: A Comparative Study of Communication Satisfaction in Two Guatemalan Companies]
FRANCE:
Center AudioVisuel Recherche et Communication, Lyon, France, Audiovisual Communication.1977 Diplome
SPAIN:
Universidad Pontificia de Salamanca, Spain, Major: Theology, 1976 Licenciado [Thesis: De Carl Rogers a la Pedagogía de la Fe]
Universidad Pontificia de Salamanca, Spain. Major: Psychology. Minor: Clinical and Educational Psychology, 1976 Diplomado
GUATEMALA:
Universidad San Carlos de Guatemala, Guatemala, Psychology, 1972-1974
Universidad Francisco Marroquín, Guatemala, Theology, 1972-1974
Normal School, Antigua Guatemala, 1964-1966 High School Teaching Credentialhttps://scholarworks.sjsu.edu/erfa_bios/1345/thumbnail.jp
Information Strategies in the Electric Vehicles Battery Reverse Supply Chain with Blockchain Technology
No full textThe surge in demand for electric vehicles (EV) and EV batteries, coupled with supply chain vulnerabilities and price instability, has driven the need for efficient and sustainable EV battery recycling processes. This report investigates the potential of blockchain technology to address the challenges in the EV battery reverse supply chain (moving goods from the end customer back towards the manufacturer), focusing on enhancing transparency and coordination, as well as mitigating the impact of unregulated recycling. Key stakeholders in this analysis include manufacturers, recyclers, and regulatory bodies. To achieve these objectives, the study employs a mixed-methods approach. It includes semi-structured interviews with industry experts from EV and battery manufacturing companies to gather qualitative insights into the current challenges and the potential of blockchain technology. Furthermore, the study used a model based on the Stackelberg game theory to analyze the impact of blockchain adoption on the behavior and profitability of supply chain members, specifically focusing on the interaction between regulated and unregulated recyclers. The findings show that blockchain technology can offer significant benefits to the EV battery reverse supply chain. Specifically, blockchain adoption can increase the total recycling quantity, provided that the implementation costs are relatively low. Additionally, blockchain can help empower regulated recyclers to achieve higher buyback prices and recycling quantities compared to unregulated recyclers, enhancing the competitiveness of responsible recycling practices. However, the adoption of blockchain technology depends on its cost-effectiveness and the intensity of competition within the recycling sector. These results highlight the importance of strategic blockchain implementation and regulatory support to foster a sustainable and efficient EV battery recycling ecosystem, which supports a sustainable transportation industry
Spartan Daily, November 13, 2025
No full textVolume 165, Issue 35https://scholarworks.sjsu.edu/spartan_daily_2025/1078/thumbnail.jp
Spartan Daily, November 11, 2025
No full textVolume 165, Issue 34https://scholarworks.sjsu.edu/spartan_daily_2025/1077/thumbnail.jp
Spartan Daily, November 18, 2025
No full textVolume 165, Issue 36https://scholarworks.sjsu.edu/spartan_daily_2025/1079/thumbnail.jp
Genetic and Environmental Determinants of Streaming and Aggregation in Myxococcus xanthus
No full textUnder starvation conditions, a spot of a few million Myxococcus xanthus cells on agar will migrate inward to form aggregates that mature into dome-shaped fruiting bodies. This migration is thought to occur within structures called ‘streams,’ which are considered crucial for initiating aggregation. The prevailing traffic jam model hypothesizes that intersections of streams cause cell crowding and ‘jamming,’ thereby initiating the process of aggregate formation. However, this hypothesis has not been rigorously tested, in part due to the lack of a standardized, quantifiable definition of streams. To address this gap, we captured time-lapse movies and conducted fluorescent cell tracking experiments using wild-type and two motility-deficient mutant M. xanthus strains. By quantitatively defining streams and developing a novel stream detection mask, we show that streams are not essential for nascent aggregate formation, though they may accelerate the process. Moreover, our results indicate that streaming has a genetic component: disrupting only one of the two M. xanthus motility systems hinders stream formation. Together, these findings challenge the idea that stream intersections are required to drive aggregate formation and suggest that M. xanthus aggregation may be driven by mechanisms independent of streaming, highlighting the need for alternative models to fully explain aggregation dynamics
Acceleration Metrics Predict Propulsive Power at Within-Dive Temporal Scales in California Sea Lions
No full textBackground: Locomotion can drive variation in an animal’s energy expenditure, but the energetic cost of movement is difficult to measure at fine time scales in free-living animals. The 3 axis acceleration metrics Dynamic Body Acceleration (DBA) and Minimum Specific Acceleration (MSA) are commonly used in biologging studies as a proxy for activity or energy expenditure. These metrics hold potential for relatively simple and affordable estimates of movement-based energy expenditure, but have not been validated for use at fine temporal scales (e.g., within dives) due to logistical limitations of metabolic measurement techniques. Here, we use rates of propulsive power (W kg−1) recently calculated at 5 s intervals in diving California sea lions to test whether DBA and MSA can predict propulsive power at two within-dive temporal scales. Results: Mean DBA and MSA predicted mean propulsive power in both 5 s intervals and dive phases (descent or ascent). All relationships were linear and significant. For all data types, likelihood ratio tests indicated that full linear mixed-effects models including random effects of individual (slope and intercept) had the best fit. Filtering and smoothing raw DBA and MSA data improved linear mixed models, though models with raw data were also strong. Using fixed-effects models on individual animals, both DBA and MSA successfully detected a known trend of increasing power use in deeper dives. Conclusions: When applied appropriately, DBA and MSA can be easily calculated proxies for propulsive power, even at fine temporal scales, in all circumstances we tested. We show that this is true even while avoiding the “Time Trap”; i.e., using mean rather than summed data. While this study focused on California sea lions, we expect these metrics will also predict relative power in other species that swim with similar mechanics. However, as inter-individual slope was important to model fit, and as the scope of our validation was limited by the circumstances that allowed propulsive power calculation, we reiterate the need for care when inferring energetic cost from acceleration metrics like DBA or MSA