La displasia arritmogénica del ventrículo derecho (DAVD) es una cardiomiopatía caracterizada por el reemplazo de miocitos por tejido fibroadiposo con herencia autosómica dominante. Ocupa el segundo lugar como muerte súbita en adultos jóvenes y es causante de un gran porcentaje en atletas. Su clínica es variable, debido a que puede presentarse en reposo o luego de actividad física con síntomas inespecíficos como palpitaciones, síncope y dolor torácico. Se presentan tres casos autópsicos de diferentes instituciones cuya manifestación clínica fue muerte súbita.
The discovery and description of patterns in electric energy consumption time series is fundamental for timely management of the system. A bicluster describes a subset of observation points in a time period in which a consumption pattern occurs as abrupt changes or instabilities homogeneously. Nevertheless, the pattern detection complexity increases with the number of observation points and samples of the study period. In this context, current bi-clustering techniques may not detect significant patterns given the increased search space. This study develops a parallel evolutionary computation scheme to find biclusters in electric energy. Numerical simulations show the benefits of the proposed approach, discovering significantly more electricity consumption patterns compared to a state-of-the-art non-parallel competitive algorithm.
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