Constructal law analysis of Cl− transport in eyes aqueous humor

Progressive loss-of-vision related to any intraocular disorder is known as glaucoma. Secretion of aqueous humor is physiologically important to provide nutrients and oxygen to the avascular anterior segment and ensuring normal visual function, even if, nowadays reducing the secretory rate to lower intraocular pressure is a major strategy in treating glaucomatous patients. Understanding the mechanisms and regulation of aqueous humor formation is very important to develop possible new approaches to lower intraocular pressure,but today there isn’t any comprehensive model of the regulation of these component in forming aqueous humor. In this paper Construcal law is used to suggest how the Cl− fluxes can determine the water inflow and outflow, and, consequently, how the intraocular pressure is controlled by these fluxes

Reconstrucción de ingreso Los Quimbaletes

Práctica Supervisada (IC)--FCEFN-UNC, 2017Trata de la estación de servicio de la empresa CAVICOR S.A. contratada en el marco de la ejecución de la obra de rehabilitación. Tiene un régimen de ingreso de 30 vehículos por hora a través del tramo a repavimentar, por lo tanto el cliente sentenció no interrumpir el acceso durante la ejecución de la obra. La estación está ubicada en RN N°38 km 63 en la localidad de Villa Giardino, Valle de Punilla, Córdob

LewiSpace: an Exploratory Study with a Machine Learning Model in an Educational Game

The use of educational games as a tool for providing learners with a playful and educational aspect is widespread. In this paper, we present an educational game that we developed to teach a chemistry lesson, namely drawing a Lewis diagram. Our game is a 3D environment known as LewiSpace and aims at balancing between playful and educational contents in order to increase engagement and motivation while learning. The game contains mainly five different missions aim at constructing Lewis diagram molecules which are organized in an ascending order of difficulty. We also conducted an experiment to gather data about learners’ cognitive and emotional states as well as their behaviours through our game by using three types of sensors (electroencephalography, eye tracking, and facial expression recognition with an optical camera) and a self report personality questionnaire (the Big Five). Primary results show that a machine learning model namely logistic regression, can predict with some success whether the learner will success or fail in each mission of our game, and paves the way for an adaptive version of the game. This latter will challenge or assist learners based on some features extracted from our data. Feature extraction integrated into a machine learning model aims mainly at providing learners’ with a real-time adaptation according to their performance and skills while progressing in our game

Reinforced Concrete Alternative Design in Brazil

The objective of this Major Qualifying Project was to investigate the adoption of a reinforced concrete frame, considering design changes and construction costs estimates. An alternative structural system was proposed and designed for an 18-story residential building complex in the city of Jundai, Sao Paulo Brazil. Structural design practices, design codes, construction technologies, building processes, and construction costs were compared between the U.S. and Brazil. Cost estimates were proposed for both the original structural masonry design and the proposed reinforced concrete alternative