Diseño e implementación de un gestor de contraseñas respaldado en la nube

El objetivo de este proyecto es el desarrollo de una aplicación de gestión de contraseñas auto contenida que pueda ser ejecutada sin conexión a Internet en la que el usuario tenga el control real de sus datos y se respete su privacidad, sin que tenga obligación de ceder ningún tipo de información. El proyecto se ha implementado teniendo en cuenta siempre que ha sido necesario, la seguridad por encima de cualquier otro requisito, priorizándolo por ejemplo sobre la usabilidad, aunque ésta tampoco ha sido descuidada. Por ello los algoritmos de cifrado se han utilizado con parámetros recomendados para la protección de información crítica y se ha diseñado teniendo en mente un escenario de ataque en el que se tenga acceso total al sistema. Como herramientas principales para el desarrollo, se ha usado el framework Electron.js, para obtener una aplicación funcional en los tres principales sistemas operativos de escritorio empleando HTML, CSS y JavaScript. Se ha utilizado de Node.js, sus APIs de criptografía y para el almacenamiento de información, SQLite, por sus características como resultar auto contenido y sin servidor

Toward noninvasive monitoring of plant leaf water content by electrical impedance spectroscopy

Plant water content is one key factor that affects the wellbeing of plants. Furthermore, detecting plant water needs in a timely manner is important when considering irrigation strategies (water management). A first step toward plant water monitoring is the availability of a portable and cost-effective system that yields reliable information. Electrical impedance spectroscopy (EIS) has previously been used invasively to provide such data and can be implemented at an acceptable cost. In this work, a cost-effective impedance analyzer capable of performing noninvasive four-electrode measurements was built. In addition, data fitting has been improved by using a modified equivalent circuit model, yielding relevant information about the plant water status. The results show that the resistor that models the extracellular fluid can track the change in the water content of a plant leaf while it is drying at room temperature. On the other hand, impedance data might provide information about the leaf tissue structure at small interelectrode distances.This work was funded by The Scientific Research Institute (IDIC) of the Universidad de Lima (Perú) as part of the research project “Medición en tiempo real de la Impedancia eléctrica para la detección de estrés hídrico en cultivos de espinaca”.Preprin

Toward noninvasive monitoring of plant leaf water content by electrical impedance spectroscopy

Plant water content is one key factor that affects the wellbeing of plants. Furthermore, detecting plant water needs in a timely manner is important when considering irrigation strategies (water management). A first step toward plant water monitoring is the availability of a portable and cost-effective system that yields reliable information. Electrical impedance spectroscopy (EIS) has previously been used invasively to provide such data and can be implemented at an acceptable cost. In this work, a cost-effective impedance analyzer capable of performing noninvasive four-electrode measurements was built. In addition, data fitting has been improved by using a modified equivalent circuit model, yielding relevant information about the plant water status. The results show that the resistor that models the extracellular fluid can track the change in the water content of a plant leaf while it is drying at room temperature. On the other hand, impedance data might provide information about the leaf tissue structure at small interelectrode distances

Update on the Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Guideline of the Brazilian Society of Cardiology-2019

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