Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Observer-based controller for unmanned aerial vehicles in reforestation applications(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-05-28) Muñoz Sepúlveda, Gustavo Alberto; Lozoya, Rafael Camilo; emimmayorquin; Castañeda, Herman; School of Engineering and Sciences; Campus Monterrey; Abaunza, HernánThis study presents a breakthrough in unmanned aerial vehicle (UAV) technology, showcas- ing the efficacy of a custom-designed controller and observer in the context of reforestation initiatives. Through meticulous experimentation and analysis, the study demonstrates the ob- server’s adeptness in mitigating external disturbances, thereby enhancing the precision and stability of UAV operations. This technological advancement not only holds promise for diverse practical applications but also holds profound implications for environmental con- servation efforts, particularly reforestation. Reforestation plays a pivotal role in mitigating climate change, preserving biodiversity, and safeguarding ecosystems. By leveraging UAV technology, this study propels forward the efficacy and efficiency of reforestation endeavors, laying the groundwork for future innovations in UAV-based interventions. The findings affirm the viability of the proposed controller and observer framework, highlighting its potential to revolutionize environmental monitoring, conservation, and sustainable resource management practices. This abstract encapsulates the significance of integrating cutting-edge technology with environmental conservation efforts, underscoring the pivotal role of UAVs in fostering a more sustainable future.
- In silico Design and Analysis of Stability Parameters of Asymmetrical Liposomes(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-06-15) Núñez García, Eduardo; Montes Fonseca, Silvia Lorena; emimmayorquin; Oseguera Guerra, Berenice Erendira; School of Bioengineering and Sciences; Campus Monterrey; Flores Holguin, NormaAsymmetric liposomes are vesicles that can be assembled from different lipids compositions to improve specific characteristics for each leaflet of the liposome, depending on the intended use. However, the characterization of these nanosystems at an experimental level is complex. The use of MD simulations, and specifically CG models as the Martini force field, allows the design and analysis of these lipidic nanostructures to be faster and cheaper experimentally. Despite the innovation and constant development of MD simulations, this tool has not yet been used as a method to evaluate multiple lipid compositions for asymmetric liposomes, which led to this study, where the design and analysis of multiple asymmetric bilayers and vesicles containing DOTAP, DOPE, DSPC, and cholesterol were created through the INSANE and BUMPy scripts for further evaluation of their structure and stability by measuring their bilayer thicknesses, APL, SASA, gyration radius, and cholesterol positioning. All simulated structures remained stable for 3 microseconds and showed different behaviors depending on their composition, especially cholesterol content that strongly affected the structures' characteristics, meaning that the Martini CG model can be used to determine characteristics of interest in the analysis of multiple liposomal compositions. Based on the analysis made of the bilayers and vesicles during this work, bilayers’ compositions DOTMA:DOPE 1:1, DOTMA:DOPE:Cholesterol 1:1:1, and 5:3:0.4 had the best properties to remain stable over time, and vesicle’s composition DOTMA:DOPE:Cholesterol 1:1:1 presented more satisfactory results overall. Further analysis of the vesicle might be beneficial for a better understanding of the composition. The proposed work serves as a first approach to use MD simulations as a tool to be applied in the decision-making process for developing drug delivery carriers in experimental laboratories, reducing economic and time restrictions.