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Aviation procurement and sustainability
This Study investigates the relationship of procurement practices on sustainability performance within the aviation maintenance, repair, and overhaul (MRO) operations utilizing Aeroman - El Salvador\u27s leading MRO provider - as the center of the case study. Utilizing the Triple Bottom Line framework, the research maps out the current sourcing model used, identifying pressures toward single sourcing agreements, expedited logistics, and vague supply chains. a qualitative approach combines data from industry leaders, direct company information, and ESG document analysis form a three-dimensional assessment matrix that evaluate the economic, environmental, and social indicators for the company. Throughout the TBL framework will be consulted to reveal the findings and discover the gaps in the sustainability efforts at Aeroman, However, it will also be utilized to address the solutions suggested to increase the sustainability of the TBL framework. We will also be able to use further research to quantify these inputs to the value of the return on investment made and explore additional adaptation across diverse MRO contexts
Developing An Instrument to Measure Teacher Attitudes Toward Multilingual Pedagogies
In an increasingly globalized world, substantial numbers of multilingual learners occupy K–12 and higher education spaces bringing diverse linguistic resources that, when intentionally and appropriately leveraged, can significantly enhance English language learning outcomes. Multilingual pedagogies, which honor and build upon students\u27 full linguistic repertoires, are essential for fostering equitable and inclusive learning environments. This quantitative exploratory study investigated teachers\u27 attitudes toward multilingual teaching with the goal of developing a reliable survey instrument—the Multilingual Pedagogy Scale (MPS)—to measure how teachers perceive language learning in multilingual classrooms and what they report doing in their classrooms.
First, a review of the research helped identify five key constructs that served as the foundation for the initial instrument: beliefs, knowledge, openness, confidence, and positionality. I created an initial survey comprising 45 survey items with 8 - 10 questions per construct. I collected 220 responses from participants using convenience and snowball sampling methods. After collecting the responses, I tested the psychometric properties and conducted an exploratory factor analysis to assess the reliability of the tool and examine the relationships between the items. The analysis resulted in a shorter, 15-item survey with three main areas: (a) Collaboration and Community, (b) Instruction, and (c) Beliefs About Language Learning.
The instrument that was developed can be used as a summative tool to assess teachers’ attitudes toward multilingual pedagogies. It can also be used formatively to design professional development initiatives related to teaching multilingual students and then, to evaluate these development initiatives. In short, the instrument constructed in this dissertation study can help ensure that more appropriate and effective teaching strategies will be used with multilingual learners across both K–12 and higher education contexts
Human Resource Management and Black Teachers’ Employee Experience in K-12 Urban Public Schools
National teacher data indicate that publicly funded schools in the United States struggle to retain Black teachers in high-need urban areas and in comparison to other groups (Carver-Thomas & Darling Hammond, 2017). This qualitative investigation employed case study methodology. The case study focused on one school within a charter management organization (CMO), exploring interactions among Black teachers and their supervising administrators at the site and management organization levels. The study was organized around concepts articulated at the nexus of teacher retention scholarship and human resource management theory, two bodies of literature yet to be substantially integrated to understand Black teachers’ employee experiences. Sequential data analysis involving two theoretical frameworks and two processes took place. The first leverages the multiple levels of Bronfenbrenner\u27s (2000) ecological systems theory to explore influences on the participants’ employee experiences within and without the CMO. The second applies tenets of BlackCrit, a derivation of Critical Race Theory, to the case to explore the centrality of race and antiblackness to these experiences. Among the study’s findings is that efforts to retain Black teachers are grounded in intuitive strategies and personal views as opposed to formal models and practices associated with current human resource management theory. This reliance on personal experience calls for further strengthening linkages among strategic human resource management theory and education policy, organizational leadership, and professional development training. The study’s findings also underscore the need for research that further deepens our understanding of Black teachers’ unique employment experiences in today’s schools
What is the Point of Free Speech?
How might we understand the nature and importance of a right to freedom of speech? One way to go is to appeal to the rights of speakers and listeners. Individuals would then have a right against state interference in saying what they want to say. On the other hand, listeners have a right to listen to whom they please and thus also would have a right against state interference. By stopping certain things from being voiced or published, for instance, the state would also be violating individuals’ rights to hear or read these things if they so choose.
This paper is part of a Symposium on “Free Speech Beyond The Constitution” published in 27 Journal of Contemporary Legal Issues (2025)
Data-Centric AI for EEG-Based Emotion Recognition: Noise Filtering and Augmentation Strategies
Research in the biomedical field often faces challenges due to the scarcity and high cost of data, which significantly limit the development and application of machine learning models. This paper introduces a data-centric AI framework for EEG-based emotion recognition that emphasizes improving data quality rather than model complexity. Instead of proposing a deep architecture, we demonstrate how participant-guided noise filtering combined with systematic data augmentation can substantially enhance system performance across multiple classification settings: binary (high vs. low arousal), four-quadrant emotions, and seven discrete emotions. Using the SEED-VII dataset, we show that these strategies consistently improve accuracy and F1 scores, achieving competitive or superior performance compared to more sophisticated published models. The findings highlight a practical and reproducible pathway for advancing biomedical AI systems, showing that prioritizing data quality over architectural novelty yields robust and generalizable improvements in emotion recognition
Paper straws at USD
This learning journal reflects my experience throughout the semester learning about sustainability, climate change, and supply chains. Through class discussions, documentaries, and assignments, I explored topics such as carbon footprint, circular economy, ethics, and life cycle analysis. The paper on plastic straws and the group life cycle project helped me understand how everyday products have environmental, social, and economic impacts, and how consumer choices and global systems are strongly connected
Guide to the Board of Trustees records (University of San Diego)
The Board of Trustees acts as the governing body of the University of San Diego. The board holds regular quarterly meetings and special meetings as necessitated by important issues or events. This collection contains the Board of Trustees minutes and related materials reflecting the merger of the San Diego College for Women with the San Diego College for Men and the School of Law in 1972 as well as combined University of San Diego activities through 2016.
Finding Aids are tools used to aid research by describing the materials in a collection. Special Collections Finding Aids include historical and/or biographical information along with a description of the collection and a folder listing of the content.
To view this collection please email University Archives and Special Collections staff at [email protected]://digital.sandiego.edu/findingaidsur/1052/thumbnail.jp
Bio-Inspired Sutures: Localizing Damage by Isolating Strain Energy
This study draws upon bio-inspiration from anatomical sutures found in hard structures, such as turtle shells, to explore if impact energy can be dissipated through geometric parameterization rather than relying on energy-absorbing materials. While previous finite element analysis studies identified optimal dovetail suture geometries for maximizing the global stiffness and toughness of archway structures, this paper explores how different suture geometries might optimize localization effects through segmentation to isolate damage caused by the propagation of strain energy. We compare the global toughness of each suture geometry to its scaling factor, defined as the ratio of strain energy in the center segment(s) of the archway over the total strain energy absorbed during deformation, normalized by the expected strain energy consistent with uniform volumetric distribution. Our findings indicate that the scaling factor tended to correlate positively with global toughness, suggesting that suture geometries that performed well globally would also exhibit the localization effect. However, there is some nuance in selecting suture geometries that perform well for both metrics, as well as ensuring that geometries that perform well for one type of segmentation are still structurally sound in others, due to little control over where impact may occur, relative to the location of a suture, in real scenarios