Juan Felix Avila Herrera

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Artificial insemination (AI) has been used for avian reproduction due to the discovery of cryoprotectants extending its usefulness both in production of domestic fowl and conservation of wild species. The goal of this study was to assess the effect on domestic and wild fowl pooled semen and individual ejaculate cryopreservation with dimethyl sulfoxide(More)
Studies suggest that carbohydrates are important in different stages of fertilization. Plasma membrane changes accompanying in vitro capacitation and acrosome reaction (AR), such as removal or appearance of specific glycoproteins, have been studied using lectins that bind specifically to carbohydrate residues. In specialized artificial insemination farms(More)
The main purpose of sperm evaluation is to predict its fertilizing ability. However, basic sperm test results show a low correlation with fertilizing ability. The purpose of this study was to determine whether there is an association between acrosome reaction (AR) and the incidence of subfertility of normal sperm boar. The production records of 22 farms(More)
Logical Analysis of Data (LAD) is a two-class learning algorithm which integrates principles of combinatorics, optimization, and the theory of Boolean functions. This paper proposes an algorithm based on mixed integer linear programming to extend the LAD methodology to solve multi-class classification problems, where One-vs-All (OvA) learning models are(More)
Logical Analysis of Data (LAD) is a supervised learning algorithm which integrates principles of combinatorics, optimization and the theory of Boolean functions. Current implementations of LAD use greedy-type heuristics to select patterns to form an LAD model. In this paper we present a new approach based on integer programming and network flows to identify(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)
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