trició n y la alteració n de las barreras anató micas (piel y mucosas) 1. A estos factores de riesgo endó geno habría que añ adir como factor exó geno la existencia de obras en los hospitales que pueden dar lugar a infecciones nosocomiales en esta població n de riesgo 4. S. prolificans es un pató geno multirresistente. La anfotericina B, 5-fluorocitosina y algunos azoles tienen una baja activid...

Crystalline germanium was ablated with light at 532 nm from a frequency-doubled neodymium: yttrium aluminum garnet laser, and the resultant plume reacted with NO before deposition onto a substrate at 13 K. Lines in group A at 1543.8 and 3059.7 cm(-1) that become enhanced at the initial stage of irradiation at 308 or 193 nm and also after annealing are attributed to nu1 and 2nu1 of GeNO. Lines i...

BACKGROUND Drug resistance in tuberculosis is a major public health challenge in developing countries. The limited data available on drug resistance in extra pulmonary tuberculosis stimulated us to design our study on anti-tuberculosis drug resistance pattern in cases of extra pulmonary tuberculosis in a tertiary referral hospital of North India. We performed Geno Type MTBDRplus assay in compar...

Abstract In this paper, we present three distributed algorithms to solve a class of Generalized Nash Equilibrium (GNE) seeking problems in strongly monotone games. The first one (SD-GENO) is based on synchronous updates the agents, while second and third (AD-GEED AD-GENO) represent asynchronous solutions that are robust communication delays. AD-GENO can be seen as refinement AD-GEED, since it o...

Abstract GENO (generic optimization) is a domain specific language for mathematical optimization. The software generates solver from specification of an optimization problem class. problems, that is, their objective function and constraints, are specified in formal language. then translated into general normal form. Problems form passed on to purpose solver. In its Iterations, the evaluates exp...

Constrained optimization problems arise frequently in classical machine learning. There exist frameworks addressing constrained optimization, for instance, CVXPY and GENO. However, contrast to deep learning frameworks, GPU support is limited. Here, we extend the GENO framework also solve on GPU. The allows user specify an easy-to-read modeling language. A solver then automatically generated fro...

El objetivo de este trabajo es obtener y caracterizar colágeno diferentes partes residuales del pez agua dulce Prochilodus magdalenae (Pm) para explorar su aplicación en películas biodegradables. Se utiliza piel, escamas, aletas cabezas Pm extraer elaborar usando hidroxipropil metilcelulosa (HPMC). Los resultados muestran que la extracción con mayor rendimiento se obtiene piel. Las mejores ...