[A_Arlucea_SanMartin] Documentación geométrica y representación virtual de la iglesia de San Martín de Arlucea (Álava)

[ES] El edificio tiene planta rectangular de unos 30 x 15 metros con un interior con una altura de 10 metros. Cuenta con una torre anexa a los pies y un pórtico de piedra de ocho arcos de posible factura medieval. La antigua cabecera ha quedado como la sacristía actual.

El caso del colegio "San Martín" de Donostia

Nivel educativo: Grado. Duración (en horas): De 41 a 50 horas

Royalty Licensing

Published as an article in: Economics Letters, 2010, vol. 107, issue 2, pages 284-287.

La orientación al mercado y el rendimiento empresarial: el caso de la banca comercial española

[ES] En este trabajo se pretende estudiar las consecuencias de la orientación al mercado sobre el rendimiento empresarial. En concreto se propone un modelo donde los efectos de la OM sobre la rentabilidad se manifiestan a través de otras variables mediadoras de resultados. La investigación empírica se realiza en el sector de la banca comercial española y se utiliza los modelos de ecuaciones estructurales para la contrastación de las hipótesis propuestas.

Representación 3D interactiva de relaciones de derivación e hiponimia en paradigmas léxicos del inglés antiguo

Participantes en el proyecto Nerthus: Javier Martín Arista (Universidad de La Rioja, Investigador principal), Laboratorio de Documentación Geométrica del Patrimonio (Universidad del País Vasco UPV/EHU).-- Sitio web del proyecto: http://www.nerthusproject.com/

Desarrollo de una solución para el acceso integrado a fuentes de información sobre Patrimonio histórico. Análisis de las alternativas e implementación de una solución basada en una aplicación de búsqueda orientada en bases de datos heterogéneas

[ES] Este proyecto surgió en el marco del proyecto de investigación:

[A_Vitoria_SantaMaria] Documentación geométrica de las excavaciones de la Catedral de Santa María (Vitoria-Gasteiz). Mayo 2000-Junio 2003

[ES] Información sobre este proyecto ha servido de base a los siguientes artículos:

MPI parallel programming of mixed integer optimization problems using CPLEX with COIN-OR

The aim of this technical report is to present some detailed explanations in order to help to understand and use the Message Passing Interface (MPI) parallel programming for solving several mixed integer optimization problems. We have developed a C++ experimental code that uses the IBM ILOG CPLEX optimizer within the COmputational INfrastructure for Operations Research (COIN-OR) and MPI parallel computing for solving the optimization models under UNIX-like systems. The computational experience illustrates how can we solve 44 optimization problems which are asymmetric with respect to the number of integer and continuous variables and the number of constraints. We also report a comparative with the speedup and efficiency of several strategies implemented for some available number of threads.

Scenario Cluster Lagrangian Decomposition in two stage stochastic mixed 0-1 optimization

In this paper we introduce four scenario Cluster based Lagrangian Decomposition (CLD) procedures for obtaining strong lower bounds to the (optimal) solution value of two-stage stochastic mixed 0-1 problems. At each iteration of the Lagrangian based procedures, the traditional aim consists of obtaining the solution value of the corresponding Lagrangian dual via solving scenario submodels once the nonanticipativity constraints have been dualized. Instead of considering a splitting variable representation over the set of scenarios, we propose to decompose the model into a set of scenario clusters. We compare the computational performance of the four Lagrange multiplier updating procedures, namely the Subgradient Method, the Volume Algorithm, the Progressive Hedging Algorithm and the Dynamic Constrained Cutting Plane scheme for different numbers of scenario clusters and different dimensions of the original problem. Our computational experience shows that the CLD bound and its computational effort depend on the number of scenario clusters to consider. In any case, our results show that the CLD procedures outperform the traditional LD scheme for single scenarios both in the quality of the bounds and computational effort. All the procedures have been implemented in a C++ experimental code. A broad computational experience is reported on a test of randomly generated instances by using the MIP solvers COIN-OR and CPLEX for the auxiliary mixed 0-1 cluster submodels, this last solver within the open source engine COIN-OR. We also give computational evidence of the model tightening effect that the preprocessing techniques, cut generation and appending and parallel computing tools have in stochastic integer optimization. Finally, we have observed that the plain use of both solvers does not provide the optimal solution of the instances included in the testbed with which we have experimented but for two toy instances in affordable elapsed time. On the other hand the proposed procedures provide strong lower bounds (or the same solution value) in a considerably shorter elapsed time for the quasi-optimal solution obtained by other means for the original stochastic problem.

Number of prior episodes and the presence of depressive symptoms are associated with longer length of stay for patients with acute manic episodes

Background: Few studies have analyzed predictors of length of stay (LOS) in patients admitted due to acute bipolar manic episodes. The purpose of the present study was to estimate LOS and to determine the potential sociodemographic and clinical risk factors associated with a longer hospitalization. Such information could be useful to identify those patients at high risk for long LOS and to allocate them to special treatments, with the aim of optimizing their hospital management. Methods: This was a cross-sectional study recruiting adult patients with a diagnosis of bipolar disorder (Diagnostic and Statistical Manual of Mental Disorders, 4th edition, text revision (DSM-IV-TR) criteria) who had been hospitalized due to an acute manic episode with a Young Mania Rating Scale total score greater than 20. Bivariate correlational and multiple linear regression analyses were performed to identify independent predictors of LOS. Results: A total of 235 patients from 44 centers were included in the study. The only factors that were significantly associated to LOS in the regression model were the number of previous episodes and the Montgomery-Åsberg Depression Rating Scale (MADRS) total score at admission (P < 0.05). Conclusions: Patients with a high number of previous episodes and those with depressive symptoms during mania are more likely to stay longer in hospital. Patients with severe depressive symptoms may have a more severe or treatment-resistant course of the acute bipolar manic episode.

Cell microencapsulation for therapeutic purposes: towards greater control over biocompatibility

233 p.: il.

An Overview on the Field of Micro- and Nanotechnologies for Synthetic Peptide-Based Vaccines

18 p.

La gestión del marketing estratégico en la pequeña empresa familiar

[ES] Este trabajo, que se circunscribe en el ámbito de la pequeña empresa familiar, tiene como principal objetivo analizar la importancia que dichas empresas conceden a las diferentes dimensiones de la gestión estratégica del marketing en función de una serie de características demográficas y de evolución generacional. Con este fin, se ha realizado un estudio de naturaleza cuantitativa a través de encuestas personales dirigidas tanto a predecesores como a sucesores de una muestra de empresas familiares.

The Metabolic Core and Catalytic Switches Are Fundamental Elements in the Self-Regulation of the Systemic Metabolic Structure of Cells

19 p.