The Cumulation of Relationships

This is an approach to understand the complexities of becoming an effective educator using an ethnographic lens. This narrative outlines my first impressions of teaching, and it goes beyond to discuss the impact that community, school, and teacher relationships have on student success. The purpose of this ethnography is rooted in my progressive understanding of how to become an effective and socially just educator in Lincoln Heights. Through an impeccable experience in my very own classroom, I was able to capture the essence of quality relationships with my students and fellow teachers. A year packed with great content and strategies to strengthen my understanding of analyzing student assessments, applying classroom management, working with paraprofessionals, and much more. As I reflect on my practice, I come to understand that building relationships with your students is the key to creating a space for social-emotional learning in the classroom. In addition, the reflective component of my ethnography is crucial to my process of developing my experience in the classroom. In the midst of collecting student data and building relationships with my students, I came to the conclusion that social-emotional learning is a vital component to the configuration of a socially just educator and pedagogy

Monitoreo de la contaminación del aire urbano utilizando dispositivos sensores de bajo costo

Ilustraciones, gráficas, tablasThe study of urban air pollution holds paramount significance within the realms of environmental science and public health. Urban areas are epicenters of diverse human activities, industrial operations, and vehicular traffic, collectively contributing to elevated concentrations of air pollutants. As the use of LCS devices becomes more prevalent in citizen science initiatives, educational purposes, rise of information and awareness, it is crucial to establish their performance characteristics and evaluation metrics for air pollution monitoring. This thesis focuses on evaluating the performance of Low-cost sensors (LCS) in the monitoring of PM2.5 concentrations in outdoor urban environments in Colombia using data mining and machine learning models. The results show that the polynomial regression and Artificial Neural Networks models present a better enhancing in the accuracy and precision of the measurements of the different models of LCS used in this study compared with simple linear regression and other machine learning models. Lastly, the project endeavors to demonstrate the applicability of LCS devices for monitoring PM2.5 concentration in various transportation modes within the city of Medellin. This research contributes to the broader understanding of LCS devices' potential in enhancing air quality monitoring and their suitability for citizen-driven initiatives in regions lacking regulatory-grade instruments.El estudio de la contaminación del aire urbano tiene una importancia fundamental en los ámbitos de la ciencia ambiental y la salud pública. Las áreas urbanas son epicentros de diversas actividades humanas, operaciones industriales y tráfico vehicular, contribuyendo colectivamente a concentraciones elevadas de contaminantes atmosféricos. A medida que el uso de dispositivos LCS se vuelve más frecuente en iniciativas de ciencia ciudadana, con fines educativos, aumento de información y conciencia, es crucial establecer sus características de rendimiento y métricas de evaluación para el monitoreo de la contaminación del aire. Esta tesis se centra en evaluar el rendimiento de los sensores de bajo costo (LCS) en el monitoreo de las concentraciones de PM2.5 en entornos urbanos al aire libre en Colombia mediante la minería de datos y modelos de aprendizaje automático. Los resultados muestran que los modelos de regresión polinómica y redes neuronales artificiales mejoran la precisión y la exactitud de las mediciones de los diferentes modelos de LCS utilizados en este estudio en comparación con la regresión lineal simple y otros modelos de aprendizaje de máquinas. Por último, el proyecto pretende demostrar la aplicabilidad de los dispositivos LCS para monitorear la concentración de PM2.5 en diversos modos de transporte dentro de la ciudad de Medellín. Esta investigación contribuye a una comprensión más amplia del potencial de los dispositivos LCS para mejorar el monitoreo de la calidad del aire y su idoneidad para iniciativas impulsadas por ciudadanos en regiones que carecen de instrumentos de calidad regulatoria. (text tomado de la fuente)Colciencias Convocatoria 727 doctorados nacionalesDoctoradoDoctor en IngenieríaInvestigación de operacionesÁrea Curricular de Ingeniería de Sistemas e Informátic

Sustainable Aviation Fuel Production in Colombia: Opportunities and Challenges

The sustainable aviation fuel (SAF) working group in Colombia was convened under the SAF Global Supply Chain Development project (Project A93) led by the Federal Aviation Administration’s (FAA) Center of Excellence for Alternative Jet Fuels and Environment, also termed the Aviation Sustainability Center of Excellence (ASCENT) and executed by Washington State University. The working group includes stakeholders across aviation, biofuel production, agriculture, government agencies, academic research, and technical consultancies. A complete list of stakeholders is included after the cover page. This group recognizes that developing SAF requires gathering knowledge and insights across multiple sectors, such as academia, private enterprise, local and federal governments, as well as multilateral, environmental, and energy advocates. This report serves as a high-level information identification to be use as starting point for designing and analyzing the supply chain to produce SAF in Colombia