Género, cuerpo y reproducción : Desafíos conceptuales y metodológicos en el estudio de las experiencias reproductivas

En 2010 tuve la oportunidad de formar un grupo de investigación con estudiantes de doctorado y maestría que realizaban sus proyectos de tesis sobre la atención del embarazo, parto y puerperio y las trayectorias reproductivas con mujeres de distintos contextos socioeconómicos. Mantuvimos un seminario durante año y medio, ejercicio que resultó, entre otros aspectos, en una reflexión sobre el uso de la trayectoria reproductiva como una herramienta para el estudio de la normatividad de género. En la presente ponencia se expondrán algunos resultados de esta experiencia. (Párrafo extraído del texto a modo de resumen)Eje 13: La salud de nuestros cuerposFacultad de Humanidades y Ciencias de la Educació

Planar vector field versions of Carathéodory's and Loewner's conjectures

Let r = 3, 4, . . . ,∞, ω. The Cr-Carathéodory's Conjecture states that every Cr convex embedding of a 2-sphere into R3 must have at least two umbilics. The Cr-Loewner's conjecture (stronger thanthe one of Carathéodory) states that there are no umbilics of index bigger than one. We show that these two conjectures are equivalent to others about planar vector fields. For instance, if r = ω, Cr-Carath'eodory's Conjecture is equivalent to the following one: Let ρ > 0 and β : U ⊂ R2 → R, be of class Cr, where U is a neighborhood of the compact disc D(0, ρ) ⊂ R2 of radius ρ centered at 0. If β restricted to a neighborhood of the circle ∂D(0, ρ) has the form β(x, y) = (ax2 + by2)/(x2 + y2), where a < b < 0, then the vector field (defined in U) that takes (x, y) to (βxx(x, y) − βyy(x, y), 2βxy(x, y)) has at least two singularities in D(0, ρ

Regiones y distribución espacial de las actividades económicas en Sonora

El objetivo del trabajo es demostrar que la distribución espacial de los sectores no siem- pre responde a la presencia de externalida- des regionales. Se analiza el comportamien- to de veintitrés sectores agregados para el caso de Sonora, considerando inicialmente su distribución en el espacio y, posterior- mente, la infl uencia del espacio en esta dis- tribución, con base en las herramientas ana- líticas “I de Moran global” y LISA (Local Indicators of Spatial Association). Se obser- va una alta concentración o especialización espacial, a la vez que una muy baja correla- ción espacial, lo que nos lleva a concluir que la localización de los sectores estudiados no responde a externalidades regionales, sino más bien a economías de urbanización u otras no regionales

Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms

Maintenance has always been a key activity in the manufacturing industry because of its economic consequences. Nowadays, its importance is increasing thanks to the Industry 4.0 or fourth industrial revolution. There are more and more complex systems to maintain, and maintenance management must gain efficiency and effectiveness in order to keep all these devices in proper conditions. Within maintenance, Condition-Based Maintenance (CBM) programs can provide significant advantages, even though often these programs are complex to manage and understand. For this reason, several research papers propose approaches that are as simple as possible and can be understood by users and modified by experts. In this context, this paper focuses on CBM optimization in an industrial environment, with the objective of determining the optimal values of preventive intervention limits for equipment under corrective and preventive maintenance cost criteria. In this work, a cost-benefit mathematical model is developed. It considers the evolution in quality and production speed, along with condition based, corrective and preventive maintenance. The cost-benefit optimization is performed using a Multi-Objective Evolutionary Algorithm. Both the model and the optimization approach are applied to an industrial case.This research was funded by the HAZITEK call of the Basque Government, project acronym HORDAGO

Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms

[EN] Maintenance has always been a key activity in the manufacturing industry because of its economic consequences. Nowadays, its importance is increasing thanks to the Industry 4.0 or fourth industrial revolution. There are more and more complex systems to maintain, and maintenance management must gain efficiency and effectiveness in order to keep all these devices in proper conditions. Within maintenance, Condition-Based Maintenance (CBM) programs can provide significant advantages, even though often these programs are complex to manage and understand. For this reason, several research papers propose approaches that are as simple as possible and can be understood by users and modified by experts. In this context, this paper focuses on CBM optimization in an industrial environment, with the objective of determining the optimal values of preventive intervention limits for equipment under corrective and preventive maintenance cost criteria. In this work, a cost-benefit mathematical model is developed. It considers the evolution in quality and production speed, along with condition based, corrective and preventive maintenance. The cost-benefit optimization is performed using a Multi-Objective Evolutionary Algorithm. Both the model and the optimization approach are applied to an industrial case.This research was funded by the HAZITEK call of the Basque Government, project acronym HORDAGO.Goti, A.; Oyarbide-Zubillaga, A.; Alberdi, E.; Sánchez Galdón, AI.; Garcia-Bringas, P. (2019). Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms. Applied Sciences. 9(15). https://doi.org/10.3390/app915306891