Antecedentes de la institucionalización de las organizaciones

[ES] Esta investigación es un intento de avanzar en la comprensión de por qué las organizaciones son sensibles a la institucionalización. Para ello, describimos los elementos clave que ayudan a explicar el origen del proceso corporativo de institucionalización. Además, se ha seguido una metodología de investigación cualitativa, utilizando la técnica del concept mapping , para agrupar en constructos los diferentes ítems que actúan como factores motivadores de la transformación de las organizaciones en instituciones. Metodológicamente hemos tratado de obviar la separación entre viejo y nuevo institucionalismo siguiendo a los autores que cuestionan la conveniencia de trazar una línea divisoria entre la vieja y la nueva teoría. Consideramos que el papel del CEO es esencial en el impulso del proceso de institucionalización, aunque en muchas ocasiones sus decisiones estén apoyadas o hayan pasado por el filtro de los equipos de gobierno de la organización o de los consejos de administración. Cualquier impulso que realice la organización dependerá fundamentalmente de las capacidades, las sensaciones, la formación y el modo de pensar del CEO. Los resultados refuerzan varios de los temas claves sugeridos en la literatura sobre Teoría Institucional. En particular, se establece una clasificación con los motivos que dan origen a las iniciativas institucionales, a saber: autoridad institucional; ventaja en gestión; e, implicación social. Esta clasificación es coincidente, en una gran medida, con los pilares de la institucionalización que han sido definidos en la literatura de la teoría institucional, ayudando a comprender, con mayor detalle, el origen de los procesos institucionales y los antecedentes o motivaciones que los generan y guían.

Fine mapping and functional analysis of the multiple sclerosis risk gene CD6

CD6 has recently been identified and validated as risk gene for multiple sclerosis (MS), based on the association of a single nucleotide polymorphism (SNP), rs17824933, located in intron 1. CD6 is a cell surface scavenger receptor involved in T-cell activation and proliferation, as well as in thymocyte differentiation. In this study, we performed a haptag SNP screen of the CD6 gene locus using a total of thirteen tagging SNPs, of which three were non-synonymous SNPs, and replicated the recently reported GWAS SNP rs650258 in a Spanish-Basque collection of 814 controls and 823 cases. Validation of the six most strongly associated SNPs was performed in an independent collection of 2265 MS patients and 2600 healthy controls. We identified association of haplotypes composed of two non-synonymous SNPs [rs11230563 (R225W) and rs2074225 (A257V)] in the 2nd SRCR domain with susceptibility to MS (Pmax(T) permutation=161024). The effect of these haplotypes on CD6 surface expression and cytokine secretion was also tested. The analysis showed significantly different CD6 expression patterns in the distinct cell subsets, i.e. – CD4+ naı¨ve cells, P = 0.0001; CD8+ naı¨ve cells, P,0.0001; CD4+ and CD8+ central memory cells, P = 0.01 and 0.05, respectively; and natural killer T (NKT) cells, P = 0.02; with the protective haplotype (RA) showing higher expression of CD6. However, no significant changes were observed in natural killer (NK) cells, effector memory and terminally differentiated effector memory T cells. Our findings reveal that this new MS-associated CD6 risk haplotype significantly modifies expression of CD6 on CD4+ and CD8+ T cells.

Advances towards behaviour-based indoor robotic exploration

215 p.

Towards a Comprehensive Approach to Quantifying and Mapping Ecosystem Services Flows

25 p.

BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data

A new supervised burned area mapping software named BAMS (Burned Area Mapping Software) is presented in this paper. The tool was built from standard ArcGIS (TM) libraries. It computes several of the spectral indexes most commonly used in burned area detection and implements a two-phase supervised strategy to map areas burned between two Landsat multitemporal images. The only input required from the user is the visual delimitation of a few burned areas, from which burned perimeters are extracted. After the discrimination of burned patches, the user can visually assess the results, and iteratively select additional sampling burned areas to improve the extent of the burned patches. The final result of the BAMS program is a polygon vector layer containing three categories: (a) burned perimeters, (b) unburned areas, and (c) non-observed areas. The latter refer to clouds or sensor observation errors. Outputs of the BAMS code meet the requirements of file formats and structure of standard validation protocols. This paper presents the tool's structure and technical basis. The program has been tested in six areas located in the United States, for various ecosystems and land covers, and then compared against the National Monitoring Trends in Burn Severity (MTBS) Burned Area Boundaries Dataset.