L'Aposta pel coneixement: el benestar del futur

Hi ha una clara i forta relació entre nou coneixement i creixement econòmic. El motor principal de l’economia és el canvi tecnològic i la innovació i la investigació són la base d’aquesta evolució de la tecnologia. La R+D és, doncs, el nucli del sistema capitalista. És una apreciació encara més vàlida en moments de trasbalsos financers, quan es torna a remarcar la importància de l’economia real

Estudio Costo-Efectividad de Lidocaína tópica como adyuvante a Pregabalina y Gabapentina en dolor neuropático periférico en una I.P.S de Bogotá 2011.

Introducción: el dolor neuropático es una patología de considerable prevalencia e impacto socio-económico en la población latinoamericana, la evidencia clínica sugiere que los ligandos de canales de calcio y el parche de Lidocaína pueden tratar exitosamente el dolor neuropático periférico y localizado. Metodología: se realizo una evaluación económica tipo costo-efectividad, observacional y retrospectiva con datos extraídos de las historias clínicas de pacientes atendidos en la clínica de dolor de la IPS. La variable primaria de efectividad fue la mejoría del dolor medida mediante escala visual análoga. Resultados: se estudiaron 94 pacientes tratados con: Gabapentina (G) 21, Pregabalina (P) 24, Gabapentina+ lidocaína (G/P) 24, Pregabalina + Lidocaína (P/L) 25, los costos asociados al tratamiento son los siguientes COP$114.070.835, COP$105.855.920, COP$88.717.481 COP$89.854.712 respectivamente, el número de pacientes con mejoría significativa de dolor fue: 8,10,9 y 21 pacientes respectivamente. El ICER de G/L con respecto a G fue: COP$ -25.353.354. El ICER de P/L con respecto a P fue: COP$ -1.454.655. Conclusiones: la adición del parche de lidocaína a la terapia regular con P/L represento una disminución de consumo de recursos en salud como uso de medicamentos co-analgésicos, analgésicos de rescate y fármacos para controlar reacciones adversas, de la misma forma que consultas a profesionales de la salud. Cada paciente manejado con P/L representa un ahorro de COP $1.454.655 al contrario si se manejase con el anticonvulsivante de manera exclusiva, en el caso de G/L este ahorro es de COP $ 25.353.354 frente a G sola.

Batería de exploración del lenguaje para preescolares : BEL-P. Adaptación castellana de la BEPL.

Adaptar al castellano un instrumento que permita evaluar de forma satisfactoria el lenguaje de los niños de 3 a 4 años.. Muestra aleatoria compuesta por 294 niños de 3 a 4 años, de habla castellana, diferente nivel socio-económico y escolarizados en Barcelona capital. Utiliza un muestreo sistemático por conglomerados.. Plantea un marco teórico sobre el lenguaje en preesolar y su evaluación, revisando conceptos y técnicas. Plantea las hipótesis de trabajo. Traduce y adapta al castellano la prueba BEL-p y su material gráfico. Realiza una aplicación piloto de la prueba. Aplica a la muestra la prueba definitiva, un cuestionario para los padres y al cabo de un día aplica la prueba P.L.O.N. Realiza un análisis estadístico por ordenador de los datos obtenidos. Calcula las propiedades psicométricas de la batería, su estructura factorial y relaciona los diferentes subtests de las baterías entre sí y con algunas variables sociodemográficas de la muestra.. BEL-P: Batería de Exploración del Lenguaje que consta de 23 subtests, Cuestionario contestado por los padres y Prueba PLON para establecer la validez concurrente de la BEL-P.. Indices de validez, correlación, análisis factorial, Anova, T-Student, percentiles y baremos de la prueba.. La prueba tiene consistencia interna. Hay correlaciones altamente significativas en los subtests que valoran aspectos idénticos en la BEL-P y la PLON. También hay correlación entre las puntuaciones obtenidas en Articulación, Fonología y Comprensión con la opinión de los padres. El análisis factorial da cinco factores que explican el 57 por cien de la variancia total. Todos los subtests discriminan por la edad. Hay diferencia de sexo en dos grupos de edad, siendo favorable a las niñas. No hay relación entre clase social, pero sí en tipo de centro en un grupo de edad, siendo favorable al centro privado.. La adaptación del BEL-P al entorno de nuestros niños reúne las condiciones psicométricas necesarias para ser utilizado con garantía, al menos en sus momentos iniciales, en la evaluación del lenguaje de niños preescolares..

Ligand effects in cis-Ru-II(N-N)(2)L-2 species where N-N is a substituted 2,2 '-bisoxazoline and L is monodentate

Starting from previously reported cis-Ru(MeL)(2)Cl-2, where MeL is 4,4,4',4'-tetramethyl-2,2'-bisoxazoline, cis-Ru(MeL)(2)Br-2 (1), cis-Ru( MeL)(2)I-2 (2), cis-Ru(MeL)(2)(NCS)(2) center dot H2O (3), cis-Ru(MeL)(2)(N-3)(2) (4) and cis-[Ru(MeL)(2)(MeCN)(2)](PF6)(2) center dot (CH3)(2)CO (5) are synthesised. The X-ray crystal structures of complexes 1, 2, 3 and 5 have been determined. All the five new complexes have been characterized by FTIR, ESIMS and H-1 NMR. In cyclic voltammetry in acetonitrile at a glassy carbon electrode, the complexes display a quasireversible Ru(II/III) couple in the range 0.32-1.71 V versus NHE. The Ru(II/III) potentials yield a satisfactorily linear correlation with Chatt's ligand constants P-L for the monodantate ligands. From the intercept and by comparing the known situation in Ru(2,2'-bipyridine)(2)L-2, it is concluded that MeL, a non-aromatic diimine, is significantly more pi-acidic than 2,2'-bipyridine. (c) 2008 Elsevier B.V. All rights reserved.

Daily precipitation statistics in regional climate models: evaluation and intercomparison for the European Alps

An evaluation is undertaken of the statistics of daily precipitation as simulated by five regional climate models using comprehensive observations in the region of the European Alps. Four limited area models and one variable-resolution global model are considered, all with a grid spacing of 50 km. The 15-year integrations were forced from reanalyses and observed sea surface temperature and sea ice (global model from sea surface only). The observational reference is based on 6400 rain gauge records (10–50 stations per grid box). Evaluation statistics encompass mean precipitation, wet-day frequency, precipitation intensity, and quantiles of the frequency distribution. For mean precipitation, the models reproduce the characteristics of the annual cycle and the spatial distribution. The domain mean bias varies between −23% and +3% in winter and between −27% and −5% in summer. Larger errors are found for other statistics. In summer, all models underestimate precipitation intensity (by 16–42%) and there is a too low frequency of heavy events. This bias reflects too dry summer mean conditions in three of the models, while it is partly compensated by too many low-intensity events in the other two models. Similar intermodel differences are found for other European subregions. Interestingly, the model errors are very similar between the two models with the same dynamical core (but different parameterizations) and they differ considerably between the two models with similar parameterizations (but different dynamics). Despite considerable biases, the models reproduce prominent mesoscale features of heavy precipitation, which is a promising result for their use in climate change downscaling over complex topography.

Evaluation of water and energy budgets in regional climate models applied over Europe

This study presents a model intercomparison of four regional climate models (RCMs) and one variable resolution atmospheric general circulation model (AGCM) applied over Europe with special focus on the hydrological cycle and the surface energy budget. The models simulated the 15 years from 1979 to 1993 by using quasi-observed boundary conditions derived from ECMWF re-analyses (ERA). The model intercomparison focuses on two large atchments representing two different climate conditions covering two areas of major research interest within Europe. The first is the Danube catchment which represents a continental climate dominated by advection from the surrounding land areas. It is used to analyse the common model error of a too dry and too warm simulation of the summertime climate of southeastern Europe. This summer warming and drying problem is seen in many RCMs, and to a less extent in GCMs. The second area is the Baltic Sea catchment which represents maritime climate dominated by advection from the ocean and from the Baltic Sea. This catchment is a research area of many studies within Europe and also covered by the BALTEX program. The observed data used are monthly mean surface air temperature, precipitation and river discharge. For all models, these are used to estimate mean monthly biases of all components of the hydrological cycle over land. In addition, the mean monthly deviations of the surface energy fluxes from ERA data are computed. Atmospheric moisture fluxes from ERA are compared with those of one model to provide an independent estimate of the convergence bias derived from the observed data. These help to add weight to some of the inferred estimates and explain some of the discrepancies between them. An evaluation of these biases and deviations suggests possible sources of error in each of the models. For the Danube catchment, systematic errors in the dynamics cause the prominent summer drying problem for three of the RCMs, while for the fourth RCM this is related to deficiencies in the land surface parametrization. The AGCM does not show this drying problem. For the Baltic Sea catchment, all models similarily overestimate the precipitation throughout the year except during the summer. This model deficit is probably caused by the internal model parametrizations, such as the large-scale condensation and the convection schemes.

Evaluation of water and energy budgets in regional climate models applied over Europe

Abstract This study presents a model intercomparison of four regional climate models (RCMs) and one variable resolution atmospheric general circulation model (AGCM) applied over Europe with special focus on the hydrological cycle and the surface energy budget. The models simulated the 15 years from 1979 to 1993 by using quasi-observed boundary conditions derived from ECMWF re-analyses (ERA). The model intercomparison focuses on two large atchments representing two different climate conditions covering two areas of major research interest within Europe. The first is the Danube catchment which represents a continental climate dominated by advection from the surrounding land areas. It is used to analyse the common model error of a too dry and too warm simulation of the summertime climate of southeastern Europe. This summer warming and drying problem is seen in many RCMs, and to a less extent in GCMs. The second area is the Baltic Sea catchment which represents maritime climate dominated by advection from the ocean and from the Baltic Sea. This catchment is a research area of many studies within Europe and also covered by the BALTEX program. The observed data used are monthly mean surface air temperature, precipitation and river discharge. For all models, these are used to estimate mean monthly biases of all components of the hydrological cycle over land. In addition, the mean monthly deviations of the surface energy fluxes from ERA data are computed. Atmospheric moisture fluxes from ERA are compared with those of one model to provide an independent estimate of the convergence bias derived from the observed data. These help to add weight to some of the inferred estimates and explain some of the discrepancies between them. An evaluation of these biases and deviations suggests possible sources of error in each of the models. For the Danube catchment, systematic errors in the dynamics cause the prominent summer drying problem for three of the RCMs, while for the fourth RCM this is related to deficiencies in the land surface parametrization. The AGCM does not show this drying problem. For the Baltic Sea catchment, all models similarily overestimate the precipitation throughout the year except during the summer. This model deficit is probably caused by the internal model parametrizations, such as the large-scale condensation and the convection schemes.