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viernes, 26 de abril de 2013

Teorema de R. Tomás para la diferenciación celular. (Viernes 23 de Abril)

Angélica Vargas

Docente 

Universidad Sergio Arboleda

Biologists often represent genetic interactions by means of graphs. In these genetic regulatory graphs, vertices represent genes or their regulatory products, whereas edges are directed and represent regulatory effects from one gene on another. Edges are often labelled with a sign, positive (+1) in the case of an activation and negative (−1) for an inhibition. The biologist R. Thomas has enounced a rule relating multistationarity in a system of genes interacting in a single cell to the existence of a positive circuit in the regulatory graph of the system.


Multistability corresponds to important biological phenomena, namely cell differentiation processes.

viernes, 19 de abril de 2013

Sida. (19 de Abril)

Anny Rodríguez 

Docente Investigador

Universidad Sergio Arboleda

Síntesis del comportamiento del virus del VIH su estructura genética y generalidades del mismo.

viernes, 12 de abril de 2013

Influencias indirectas en comercio internacional. (Viernes 12 de Abril)

Laura Gómez Bermeo

Joven Investigadora 

Matemática

Universidad Sergio Arboleda

Se presentarán los avances en el estudio de las influencias indirectas en el comercio internacional a través del estudio de estas por medio del método pwp.


lunes, 8 de abril de 2013

Complex brain networks: graph theoretical analysis of structural and functional systems. (Part 1), (Viernes 5 de Mayo)

Cristian Barrios

Matemático

Escuela de Matemáticas, Universidad Sergio Arboleda

Estudiante Medicina

Pontificia Universidad Javeriana

Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization. The brain’s structural and functional systems have features of complex networks — such as small-world topology, highly connected hubs and modularity — both at the whole-brain scale of human neuroimaging and at a cellular scale in non-human animals. In this article, we review studies investigating complex brain networks in diverse experimental modalities (including structural and functional MRI, diffusion tensor imaging, magnetoencephalography and electroencephalography in humans) and provide an accessible introduction to the basic principles of graph theory. We also highlight some of the technical challenges and key questions to be addressed by future developments in this rapidly moving field.

Codificación de Redes de Información, (Lunes 11 de Marzo)

Humberto Sarria Zapata

Profesor Tiempo Completo

Departamento de Matemáticas

Universidad Nacional de Colombia

Se presentará una introducción a una nueva visión de la configuración (en términos algebraicos ) de la información que se envía a través  de la Web. Se hará una breve presentación de las redes linealmente solubles y se hará prueba esquemática de que no toda red soluble es linealmente soluble.