Impacto del uso de suelo sobre el secuestro del carbono orgánico en un área natural de Medellín, Colombia

La subjetivización del de que en el español de Colombia

This paper deals with the phenomenon known as dequeísmo in Spanish, in particular with the semantic differences between canonical sentences with que and dequeísta sentences. I analyze previous corpus studies of dequeísmo, test their predictions with an independent corpus of spoken Colombian Spanish, and finally carry out a logistic regression to test new possible parameters that might influence...

La Radio Cognitiva y su Impacto en el Uso Eficiente del Espectro de Radio

La radio cognitiva emerge como una novedosa tecnología de las comunicaciones inalámbricas con el potencial de cambiar la forma ineficiente en que el espectro radioeléctrico es utilizado actualmente. Las técnicas de acceso dinámico al espectro constituyen un elemento clave en la implementación de la tecnología radio cognitiva. En este trabajo se analizan las cuatro funcionalidades principales qu...

Implications of land management on soil microbial communities and nutrient cycle dynamics in the lowland tropical forest of northern Costa Rica

The long-term effects of reforestation versus maintained grassland on microbial community structure and nutrient cycling provide a valuable perspective on ecosystem health and carbon sequestration potential of tropical soils in the heavily deforested Northern Zone of Costa Rica. The soil from the secondary forests in this area had greater levels of phosphate, inorganic nitrogen, organic carbon,...

Impacto De Un Programa Educativo Dirigido Por Farmacéutico Sobre El Conocimiento a Largo Plazo Y Uso Del Acido Fólico Entre Universitarias: Estudio De Seguimiento De 12 Meses

Uso del algoritmo de colonia de hormigas en el aprendizaje de redes bayesianas

The bayesian networks model phenomena through a set of variables and their dependence. With these models is possible to develop bayesian inference. The models have several applications in data classification, data prediction, diagnostics, etc. Also, these models provide revelant information about the relationship between the variables and sometimes can be interpreted as a cause-effect relations...