College of the Canyons (COC) is a public community college in Santa Clarita, California. It comprises the Santa Clarita Community College District. The college is accredited by the Western Association of Schools and Colleges and has campus locations in Valencia and Canyon Country.
Background Indigenous food systems are central to Indigenous health and support sustainable, resilient, and equitable food systems, yet those within tea forest ecosystems remain unexamined, particularly in relation to food security. Methods From 2021 to 2024, six fieldwork rounds were conducted with the Blang people of Jingmai Mountain. Using participant observation, semi-structured interviews, and focus groups, we documented food biodiversity, medicinal functions, spiritual meanings, cooking practices, and factors shaping utilization and food security. Results We recorded 192 traditional ingredients, 92.71% plant-based, and 20 medicinal functions mainly for stomach health, detoxification, and clearing internal heat. High biodiversity indicates strong potential to support dietary diversity, micronutrient adequacy, and nutrition-related food security. Ritual use involved 147 ingredients. The study identified 20 cooking methods, with pounding most common. Utilization was influenced by tea-economy expansion, tourism, policy constraints, shifting knowledge transmission, climate change, and inter-Indigenous interactions. Conclusion This study provides the first systematic account of Indigenous food systems in tea-forest ecosystems. While findings align with global literature on biodiversity and traditional practices, rapid tea-driven economic change may weaken food access, dietary diversity, food sovereignty, and knowledge use. Ritual practices and inter-Indigenous exchanges emerge as key strengths, highlighting the need for policy and community-based efforts to sustain Indigenous food systems.
ABSTRACT Teaching practicum programs provide pathways for potential future faculty, such as graduate students and postdoctoral scholars at four‐year universities, to participate in immersive mentorship and professional development experiences at nearby institutions in preparation for a competitive academic job market. These regional initiatives train the next generation of undergraduate instructors and also address an urgent need to hire and retain a diverse, highly trained faculty. This study focuses on a portfolio of mentored teaching practicum programs embedded within the California Community College system in the southern California region, specifically Los Angeles and Orange counties. Using interviews and questionnaires with program leadership and survey data from past participants, this study examines key program features, the benefits and challenges of program implementation, and the impact on program alumni. Findings indicate that these programs share common goals and strategies that lead to participants’ increased interest in and preparation for careers at community colleges.
We have created a new image analysis pipeline to reprocess images taken by the Near Earth Asteroid Tracking survey and have applied it to 10 nights of observations. This work is the first large-scale reprocessing of images from an asteroid discovery survey in which thousands of archived images are recalibrated and searched for minor planets, and the resulting observations are reported to the Minor Planet Center. We describe the software used to extract, calibrate, and clean sources from the images, including specific techniques that accommodate the unique features of these archival images. This pipeline is able to find fainter asteroids than the original pipeline.
This chapter explores the integration of outdoor education in leader development, emphasizing the case-in-point (CIP) methodology. It discusses various outdoor education strategies, from simple activities to complex expeditions, and highlights the role of staff and facilitators in enhancing learning experiences. Using examples from Scouts BSA, it illustrates the program’s impact on leadership skills. The text underscores the benefits of outdoor education to leader development, including fostering self-reliance, resilience, and interdependence, and outlines the progression of leadership skills gained through related experiential learning.
Given the emerging needs of artificial intelligence in both commercial and consumer uses, the rapid increase of energy consumption has become a major concern for data centers. Workload scheduling plays a crucial role in reducing the energy costs associated with large compute-intensive workloads in data centers. However, there has not been much research on reducing the energy costs for GPU-intensive workloads specifically. In this paper, we proposed two thermal-ware scheduling algorithms (GPUThermalAwareMinTemp and GPUThermalAware) for GPU-intensive workloads. Through the integration of machine learning models into a modified version of the GPUCloudSimPlus simulator, we compare the performance of our algorithms with three baseline algorithms by simulating cloud computing environments using a subset of real-world workload traces from Alibaba PAI. Our experimental results show that, compared with the worst-case algorithms, the GPU thermal-aware scheduling algorithms achieved 4.72% lower average host minimum temperatures and saved total energy by 1.17%.
