ABSTRACT Althoughknowledgeofthemicrostructureoffoodofvegetaloriginhelpsustounderstand the behavior of food materials, the variability in the microstructural elements complicates this analysis. In this regard, the construction of learning models that represent the actual microstructures of the tissue is important to extract relevant information and advance in the comprehension of such behavior. Consequently, the objective of this research is to compare two machine learning techniques—Convolutional Neural Networks (CNN) and Radial Basis Neural Networks (RBNN)— when used to enhance its microstructural analysis. Two main contributions can be highlighted from this research. First, a method is proposed to automatically analyze the microstructural elements of vegetal tissue; and second, a comparison was conducted to select a classifier to discriminate between tissue structures. For the com...

El presente trabajo de investigación desarrolla el diseño y construcción de elementos de máquina es un tema importante que requiere tener las dimensiones exactas y la precisión del comportamiento de las máquinas, los cuales reducen los costos, esfuerzos de trabajo y tiempos en la construcción de los diferentes elementos de máquina. Los primeros capítulos muestran la importancia de la resistencia y la rigidez de los materiales, con la finalidad de que los estudiantes tengan las bases adecuadas para el estudio de los fundamentos y normas técnicas del dibujo técnico y del diseño mecánico; así mismo, conocer los conceptos básicos sobre las distintas fallas de los elementos mecánicos que fatigan la microestructura de los materiales metálicos y no metálicos, los cuales re quieren óptima selección y además un adecuado proceso de fabricación, para garantizar la funcionalida...

Chaotic bioprinting enables the fabrication of microstructured hydrogel fibers with co-extruding permanent and fugitive inks using a kenics static mixer (KSM) printhead. However, these fibers degrade completely after 7 days of static culture. Survival of hydrogel constructs for prolonged periods is critical for tissue maturation. Therefore, in this project, chaotic bioprinting was optimized to reinforce multichannel hollow fibers, thereby extending the culture time to enable skeletal muscle tissue maturation. A KSM printhead equipped with eight inlets and two mixing elements was used to print hydrogel fibers with three materials: a bioink suitable to load cells, a sacrificial material to create hollow channels, and a structural material to provide mechanical stability (without cells). Each bioink layer was placed 62.5 µm apart from a hollow channel. Furthermore, the optimal ratio for ea...