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    • Modeling Corneal Oxygen with Scleral Gas Permeable Lens Wear 

      Compañ Moreno, Vicente; Aguilella Arzo, Marcel; Edrington, Timothy B.; Weissman, Barry A. (Lippincott, Williams & Wilkins, 2016)
      Purpose. The main goal of this current work is to use an updated calculation paradigm, and updated boundary conditions, to provide theoretical guidelines to assist the clinician whose goal is to improve his or her scleral ...
    • Mathematical Genesis of the Spatio-Temporal Covariance Functions 

      Fernández Avilés, Gema; Montero, José María; Mateu, Jorge (Science Publications, 2011)
      Problem statement: Obtaining new and flexible classes of nonseparable spatio-temporal covariances have resulted in a key point of research in the last years within the context of spatiotemporal Geostatistics. Approach: ...
    • Evolution of the ageing process, quality of life and physical fitness in western countries 

      Ruiz-Montero, Pedro Jesús; Chiva Bartoll, Òscar (Universitatea din Pitesti, Romania, 2017-02)
      It is predicted that life expectancy will raise sharply in future stages, especially in western countries. In fact, life expectancy of developed countries is currently over the age of 70. Aging implies a series of physical, ...
    • Wind power plant resonances 

      Sainz, Luis; Cheah-Mane, Marc; Monjo, Lluís; Liang, Jun; Gomis-Bellmunt, Oriol (North Sea Conference & Journal LTD, 2016-12)
      Onshore and offshore wind power plants comprising wind turbines equipped with power converters are increasing in number worldwide. Harmonic emissions in power converters distort currents and voltages, leading ...
    • Residual kriging for functional data. Application to the spatial prediction of salinity curves 

      Reyes, Adriana; Giraldo, Ramón; Mateu, Jorge (Taylor & Francis, 2015)
      Recently several methodologies for carrying out geostatistical analysis of functional data has been proposed. All of them assume that the spatial functional process considered is stationary. However in practice we often ...