Katya Villarreal Rodríguez

Learn More
The clock gene protein Per 1 (PER1) is expressed in several brain structures and oscillates associated with the suprachiasmatic nucleus (SCN). Restricted feeding schedules (RFS) induce anticipatory activity and impose daily oscillations of c-Fos and clock proteins in brain structures. Daily access to a palatable treat (chocolate) also elicits anticipatory(More)
Daily feeding schedules entrain temporal patterns of behavior, metabolism, neuronal activity and clock gene expression in several brain areas and periphery while the suprachiasmatic nucleus (SCN), the biological clock, remains coupled to the light/dark cycle. Because bilateral lesions of the SCN do not abolish food entrained behavioral and hormonal rhythms(More)
  • Weathering Uncertainty, Douglas Nakashima, Kirsty Galloway McLean, Hans Thulstrup, Ameyali Ramos Castillo, Jennifer Rubis +5 others
  • 2013
The designations employed and the presentation of material throughout this publication do not imply the expression of any opinion whatsoever on the part of UNESCO concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The ideas and opinions expressed in this(More)
Human neurocysticercosis is a major public health problem currently present in many regions throughout the world. Its proper diagnosis depends on the correct interpretation of the clinic symptoms presented by the patients, together with information provided by radiological studies and immunological tests. The analysis of Western Blot images, a specific(More)
Scheduled and restricted access to a palatable snack, i.e. chocolate, elicits a brief and strong anticipatory activation and entrains brain areas related with reward and motivation. This behavioral and neuronal activation persists for more than 7days when this protocol is interrupted, suggesting the participation of a time-keeping system. The process that(More)
In this paper we formulate an infinitely repeated Principal-Agent relationship as a Multi-Objective Optimization problem. We numerically approximate the solution of this model using a Multi-Objective Optimization Evolutionary Algorithm, named RankMOEA, for different values of the Agent's coefficient of relative risk aversion. Our numerical results indicate(More)
Write an essay (6 to 8 pages) on machine learning algorithms addressing the following questions. 1. In order to predict dialogue acts you have proposed a Cart-style machine learning algorithm. Why this algorithm? There are several alternatives, can you mention some other machine learning algorithms and the advantages and disadvantages of them in the context(More)
  • 1