Geostatistical estimation and simulation techniques are useful for characterizing the spatial distribution of soil properties. These techniques usually rely on a variogram model that measures the spatial variability of the ...

Recientemente, los modelos de aprendizaje profundo han obtenido excelentes resultados en tareas como clasificación de imágenes, detección de anomalías y procesamiento de lenguaje. Estos modelos mejoran cuando hay una gran ...

Muchas ciudades en el mundo comparten problemas como la congestión, largos tiempos de viaje, contaminación y el aumento de los precios de las viviendas. Sin embargo, difieren en otras características, como la forma en ...

In this paper we study the Navier-Stokes boundary-initial value problem in the exterior of a rotating obstacle, in two and three spatial dimensions. We prove the local in time existence and uniqueness of strong solutions. ...

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A lattice model for active matter is studied numerically, showing that it displays wetting transitions between three distinctive phases when in contact with an impenetrable wall. The particles in the model move persistently, ...

There is considerable heterogeneity in the development of derivatives markets in different countries. The question is: why? This paper addresses this question in the context of major derivatives markets in Latin America. ...

The primary aim of this study is to improve our understanding of therapists’ experience of a “difficult patient” and consider the different variables involved in this label. What makes a patient be perceived as difficult ...