Communities in DSpace
Select a community to browse its collections.
Recent Submissions
Item
Understanding hydrothermal alteration pathways in active geothermal systems: a look from clay mineralogy on the Chilean Andes Nevados de Chillán Geothermal System
(2024) Morata, Diego; Maza, Santiago; Abad, Isabel; Cuevas, Cristóbal; Arancibia Hernandez, Gloria Cecilia
Item
Fluid flow in the Nevados de Chillán Geothermal System as an example of fractured reservoir, Southern Andes
(2024) Arancibia Hernández, Gloria Cecilia; Mura Toledo, Valentina Rossana; López Contreras, Camila Andrea; Oyarzo Cespedes, Isa Paz Belen; Browning, John; Healy, David; Maza, Santiago; Morata, Diego
Item
Towards an AI Knowledge Assistant for Context-aware Learning Experiences in Software Capstone Project Development
(2024) Neyem, Hugo Andres; González, Luis A.; Mendoza Rocha, Marcelo Gabriel; Sandoval Alcocer, Juan Pablo; Centellas, Leonardo; Paredes, Carlos
Software assistants have significantly impacted software development for both practitioners and students, particularly in capstone projects. The effectiveness of these tools varies based on their knowledge sources; assistants with localized, domain-specific knowledge may have limitations, while tools like ChatGPT, using broad datasets, might offer recommendations that do not always match the specific objectives of a capstone course. Addressing a gap in current educational technology, this paper introduces an AI Knowledge Assistant specifically designed to overcome the limitations of existing tools by enhancing the quality and relevance of Large Language Models (LLMs). It achieves this through the innovative integration of contextual knowledge from a local “lessons learned” database tailored to the capstone course. We conducted a study with 150 students using the assistant during their capstone course. Integrated into the Kanban project tracking system, the assistant offered recommendations using different strategies: direct searches in the lessons learned database, direct queries to a GPT model, query enrichment with lessons learned before submission to GPT and LLaMa models, and query enhancement with Stack Overflow data before GPT processing. Survey results underscored a strong preference among students for direct LLM queries and those enriched with local repository insights, highlighting the assistant's practical value. Further, our linguistic analysis conclusively demonstrated that texts generated by the LLM closely mirrored the linguistic standards and topical relevance of university course requirements. This alignment not only fosters a deeper understanding of course content but also significantly enhances the material's applicability to real-world scenarios.
Item
¿Cómo evaluar la colaboración docente? El caso del Sistema Nacional de Reconocimiento Docente en Chile
(2024) Contreras, Johana; San Martín, Constanza; Muñoz, Solange; Solar Bezmalinovic, Horacio
Si bien la colaboración docente ha sido ampliamente estudiada e integrada en laspolíticas educativas debido a sus beneficios en la enseñanza y el aprendizaje, existeescasa literatura sobre su inclusión en los modelos de evaluación de desempeño docente.Este artículo aborda la evaluación del trabajo colaborativo en la política de desarrolloprofesional de Chile. Para ello se realizó un estudio cualitativo, de alcance exploratoriodescriptivo, que contempló un análisis documental de archivos públicos, entrevistas aformuladores de la política y entrevistas a dos grupos de docentes destinatarios de lapolítica. Los resultados revelan la heterogeneidad de concepciones sobre trabajocolaborativo en la política y los docentes; la dificultad de reportar la colaboración en laevaluación; el contraste entre la rigurosidad del proceso de corrección y la desconfianzaexpresada por los docentes, además de la percepción de falta de retroalimentación; lastensiones entre los propósitos formativos de la evaluación y sus consecuenciasindividuales en los docentes. Se discuten los desafíos para la política educativa y lainvestigación futura que supone la integración de políticas de evaluación docente ypromoción del trabajo colaborativo.
Item
Prophylactic treatment with the c-Abl inhibitor, neurotinib, diminishes neuronal damage and the convulsive state in pilocarpine-induced mice
(Elsevier B.V., 2024) Chandía Cristi, América Valeska; Gutiérrez García, Daniela A.; Dulcey, Andrés E.; Lara, Marcelo; Vargas Rojas, Lina Marcela; Lin, Yi-Han; Jiménez Muñoz, Pablo Salvador; Larenas Barrera, Gabriela Paz; Xu, Xin; Wang, Amy; Owens, Ashley; Dextras, Christopher; Chen, YuChi; Pinto, Claudio; Marín Marín, Tamara Alejandra; Almarza Salazar, Hugo Alcester; Acevedo, Keryma; Cancino Lobos, Gonzalo Ignacio; Hu, Xin; Rojas, Patricio; Ferrer, Marc; Southall, Noel; Henderson, Mark J.; Zanlungo Matsuhiro, Silvana; Marugan, Juan J.; Álvarez Rojas, Alejandra
The molecular mechanisms underlying seizure generation remain elusive, yet they are crucial for developing effective treatments for epilepsy. The current study shows that inhibiting c-Abl tyrosine kinase prevents apoptosis, reduces dendritic spine loss, and maintains N-methyl-D-aspartate (NMDA) receptor subunit 2B (NR2B) phosphorylated in in vitro models of excitotoxicity. Pilocarpine-induced status epilepticus (SE) in mice promotes c-Abl phosphorylation, and disrupting c-Abl activity leads to fewer seizures, increases latency toward SE, and improved animal survival. Currently, clinically used c-Abl inhibitors are non-selective and have poor brain penetration. The allosteric c-Abl inhibitor, neurotinib, used here has favorable potency, selectivity, pharmacokinetics, and vastly improved brain penetration. Neurotinib-administered mice have fewer seizures and improved survival following pilocarpine-SE induction. Our findings reveal c-Abl kinase activation as a key factor in ictogenesis and highlight the impact of its inhibition in preventing the insurgence of epileptic-like seizures in rodents and humans.