Entrepreneurship: a long way to go

Entrepreneurship education has emerged as one popular research domain in academic fields given its aim at enhancing and developing certain entrepreneurial qualities of undergraduates that change their state of behavior, even their entrepreneurial inclination and finally may result in the formation of new businesses as well as new job opportunities. This study attempts to investigate the Colombian student´s entrepreneurial qualities and the influence of entrepreneurial education during their studies.

Actitudes de los directivos en torno a la adopción del e-learning como herramienta de trabajo en las empresas

El desarrollo del presente documento constituye una investigación sobre las actitudes de los directivos frente a la adopción del e-learning como herramienta de trabajo en las organizaciones de Bogotá. Para ello se realizó una encuesta a 101 directivos, tomando como base el tipo de muestreo de conveniencia; esto con el objetivo de identificar sus actitudes frente al uso del e-learning y su influencia dentro de la organización. Como resultado se obtuvo que las actitudes de los directivos influencian en el uso de herramientas e-learning, así como también en las acciones que promueven su uso y en las actitudes de los empleados; por otro lado se identificó que las creencias relacionadas con la apropiación de herramientas e-learning y los factores facilitadores del uso de estas, influencian en las actitudes de los directivos. Lo anterior, corresponde a los análisis llevados a cabo a partir de los resultados contrastados con los estudios empíricos hallados y el marco teórico desarrollado.

Análisis del impacto del tamaño de los activos en la cuenta de resultados mediante la utilización de espacios de fase y análisis de recurrencia

Los resultados financieros de las organizaciones son objeto de estudio y análisis permanente, predecir sus comportamientos es una tarea permanente de empresarios, inversionistas, analistas y académicos. En el presente trabajo se explora el impacto del tamaño de los activos (valor total de los activos) en la cuenta de resultados operativos y netos, analizando inicialmente la relación entre dichas variables con indicadores tradicionales del análisis financiero como es el caso de la rentabilidad operativa y neta y con elementos de estadística descriptiva que permiten calificar los datos utilizados como lineales o no lineales. Descubriendo posteriormente que los resultados financieros de las empresas vigiladas por la Superintendencia de Sociedades para el año 2012, tienen un comportamiento no lineal, de esta manera se procede a analizar la relación de los activos y los resultados con la utilización de espacios de fase y análisis de recurrencia, herramientas útiles para sistemas caóticos y complejos. Para el desarrollo de la investigación y la revisión de la relación entre las variables de activos y resultados financieros se tomó como fuente de información los reportes financieros del cierre del año 2012 de la Superintendencia de Sociedades (Superintendencia de Sociedades, 2012).

An artificial economy based on reinforcement learning and agent based modeling

In this paper, we employ techniques from artificial intelligence such as reinforcement learning and agent based modeling as building blocks of a computational model for an economy based on conventions. First we model the interaction among firms in the private sector. These firms behave in an information environment based on conventions, meaning that a firm is likely to behave as its neighbors if it observes that their actions lead to a good pay off. On the other hand, we propose the use of reinforcement learning as a computational model for the role of the government in the economy, as the agent that determines the fiscal policy, and whose objective is to maximize the growth of the economy. We present the implementation of a simulator of the proposed model based on SWARM, that employs the SARSA(λ) algorithm combined with a multilayer perceptron as the function approximation for the action value function.

The use of insect cells to identify potent and selective inhibitors of the replication of the Dengue and Chikungunya viruses and unravel their molecular mechanism of action

Dengue and Chikungunya viruses cause the most important arthropod-borne viral infections for humans. These viruses are predominant in tropical and subtropical regions. In addition, these viruses are predominant in tropical and subtropical regions. Dengue mortality rate is around 1.2 to 3.5% and deaths due to chikungunya fever are around 1 in 1000; however, half of chikungunya-infected patients evolve into a chronic state that can persist for months up to years. There are no antiviral drugs available for DENV and CHIKV treatment and prevention. Moreover, vector control strategies have failed so far. Thus, the development of potent inhibitors for a broad spectrum of RNA viruses is urgently needed. We established and characterized a new embryonic insect cell line from Culex quinquefasciatus mosquito. Also we established the flaviviruses and alphavirus replication, both in C6/36 and Lulo insect cell lines, as well as in Vero cell line. In addition we carried out a reference compound library and reference panel of assays and data for DENV, which provides a benchmark for further studies. During this study, a panel of 9 antiviral molecules, with proven in vitro anti-dengue virus activity and that act at different stages of the DENV life cycle, was selected. Finally, Favipiravir or T-705, was identified as inhibitor in vitro and in vivo of alphaviruses and the mutation K291R in nsP4, which is responsible of the polymerase activity, was found as the mode of action in CHIKV. Interestingly, lysine in motif F1 is also highly conserved in positive-stranded RNA viruses and this might explain the broad spectrum of T-705 antiviral activity.