Les Cesars

UANL

Les Antonins : - ans de J.C., 69-180

UANL

Rome er a Judee au temps de la chute de Neron (ans 66-72 apres Jesus-Christ)

UANL

Studies on physicochemical and biological properties of protease inhibitor from edible mushroom Pleurotus floridanus

Protease inhibitors are found abundantly in numerous plants, animals and microorganisms, owing their significance to their application in the study of enzyme structures, reaction mechanisms and also their utilization in pharmacology and agriculture. They are (synthetic/natural) substances that act directly on proteases to lower the catalytic rate. Although most of these inhibitory proteins are directed against serine proteases, some target cysteine, aspartyl or metalloproteases (Bode and Huber, 1992). Protease inhibitors are essential for regulating the activity of their corresponding proteases and play key regulatory roles in many biological processes. Applications of protease inhibitors are intimately connected to the proteases they inhibit; an overview of proteases with the modes of regulation of their proteolytic activity is discussed

Precision laser spectroscopy of the ground state hyperfine splitting of hydrogenlike ^209 Bi^82+

The first direct observation of a hyperfine splitting in the optical regime is reported. The wavelength of the M1 transition between the F = 4 and F = 5 hyperfine levels of the ground state of hydrogenlike ^209 Bi^82+ was measured to be \lamda_0 = 243.87(4) nm by detection of laser induced fluorescence at the heavy-ion storage ring ESR at GSI. In addition, the lifetime of the laser excited F = 5 sublevel was determined to be \tau_0 = 0.351(16) ms. The method can be applied to a number of other nuclei and should allow a novel test of QED corrections in the previously unexplored combination of strong magnetic and electric fields in highly charged ions.

On the Noise Model of Support Vector Machine Regression

Support Vector Machines Regression (SVMR) is a regression technique which has been recently introduced by V. Vapnik and his collaborators (Vapnik, 1995; Vapnik, Golowich and Smola, 1996). In SVMR the goodness of fit is measured not by the usual quadratic loss function (the mean square error), but by a different loss function called Vapnik"s $epsilon$- insensitive loss function, which is similar to the "robust" loss functions introduced by Huber (Huber, 1981). The quadratic loss function is well justified under the assumption of Gaussian additive noise. However, the noise model underlying the choice of Vapnik's loss function is less clear. In this paper the use of Vapnik's loss function is shown to be equivalent to a model of additive and Gaussian noise, where the variance and mean of the Gaussian are random variables. The probability distributions for the variance and mean will be stated explicitly. While this work is presented in the framework of SVMR, it can be extended to justify non-quadratic loss functions in any Maximum Likelihood or Maximum A Posteriori approach. It applies not only to Vapnik's loss function, but to a much broader class of loss functions.

Sociedad del conocimiento, ocio y cultura : un enfoque interdisciplinar

Resumen basado en la publicaci??n

La Docència universitària entre les exigències dels continguts i els processos d'aprenentatge

La Declaració de Bolonya, en prescriure un marc general per al desenvolupament harmònic d'un espai europeu d'educació superior, proposa cinc àmbits de desenvolupament: - L'adopció d'un sistema de titulacions - L'adopció d'un sistema d'estudis basat essencialment en dos cicles L'establiment d'un sistema de crèdits - La promoció de la mobilitat - La promoció de la cooperació europea per assegurar la qualitat de l'educació superior i la promoció de les dimensions europees dirigides cap al desenvolupament curricular, cooperació entre institucions, esquemes de mobilitat i programes d'estudi, integració de la formació i investigació (ministres europeus d'Educació, 1999). (...)

Investigación de naturaleza cualitativa.

Resumen basado en la publicación

Video Collection from YouTube

Videos (mpg) for Therese Allan