800 resultados para Big five
Resumo:
Este trabajo de investigación pretende demostrar, a través de un producto televisivo como es The Big Bang Theory, que la sociedad contemporánea experimenta la comunicación y otros procesos de forma distinta a los modelos tradicionales, principalmente por la irrupción de la tecnología en la vida cotidiana. La comunicación, a través de la propuesta de la Escuela de Palo Alto, debe entenderse como un sistema de intercambio no solo de información sino de otros elementos que permiten construir relaciones incluso en la confusión que la caracteriza. El imperativo de que “lo importante es comunicar” es el hilo conductor de este estudio académico donde los personajes de esta serie de situación, o sitcom, a pesar de ser catalogados como seres digitales ensimismados en los aparatos electrónicos, le permiten al espectador reconocer los comportamientos y vínculos actuales.
Big Decisions and Sparse Data: Adapting Scientific Publishing to the Needs of Practical Conservation
Resumo:
The biggest challenge in conservation biology is breaking down the gap between research and practical management. A major obstacle is the fact that many researchers are unwilling to tackle projects likely to produce sparse or messy data because the results would be difficult to publish in refereed journals. The obvious solution to sparse data is to build up results from multiple studies. Consequently, we suggest that there needs to be greater emphasis in conservation biology on publishing papers that can be built on by subsequent research rather than on papers that produce clear results individually. This building approach requires: (1) a stronger theoretical framework, in which researchers attempt to anticipate models that will be relevant in future studies and incorporate expected differences among studies into those models; (2) use of modern methods for model selection and multi-model inference, and publication of parameter estimates under a range of plausible models; (3) explicit incorporation of prior information into each case study; and (4) planning management treatments in an adaptive framework that considers treatments applied in other studies. We encourage journals to publish papers that promote this building approach rather than expecting papers to conform to traditional standards of rigor as stand-alone papers, and believe that this shift in publishing philosophy would better encourage researchers to tackle the most urgent conservation problems.
Resumo:
It is twenty-five years since the posthumous publication of David Marr's book Vision [1]. Only 35 years old when he died, Man, had already dramatically influenced vision research. His book, and the series of papers that preceded it, have had a lasting impact on the way that researchers approach human and computer vision.
Resumo:
We present a procedure for estimating two quantities defining the spatial externality in discrete-choice commonly referred to as 'the neighbourhood effect'. One quantity, the propensity for neighbours to make the same decision, reflects traditional preoccupations; the other quantity, the magnitude of the neighbourhood itself, is novel. Because both quantities have fundamental bearing on the magnitude of the spatial externality, it is desirable to have a robust algorithm for their estimation. Using recent advances in Bayesian estimation and model comparison, we devise such an algorithm and illustrate its application to a sample of northern-Filipino smallholders. We determine that a significant, positive, neighbourhood effect exists; that, among the 12 geographical units comprising the sample, the neighbourhood spans a three-unit radius; and that policy prescriptions are significantly altered when calculations account for the spatial externality.