El reto del paisaje urbano en China, del Mall Comercial al espacio público

Las categorías del espacio introvertido y extrovertido definen por excelencia la estructura espacial, que ordena el ámbito de lo privado y lo público en la ciudad. La dualidad del espacio abierto y cerrado, vinculado a la estructura espacial de la ciudad clásica China, quedaba ordenado, justificado y vinculado mediante una estructura espacial muy definida. Sin embargo en el modelo de ciudad contemporánea, aflora la cuestión de la integración de estas categorías espaciales y su articulación dentro de una estructura urbana heterogénea y fuertemente alterada. ¿Cuáles serán los factores de cambio de la transición de un espacio comunitario introvertido a un espacio cívico abierto? Este proceso es un proceso que debe discurrir a un doble nivel espacial y político. Debe discurrir en paralelo a la transición de las categorías espaciales que ordenan identitariamente el ámbito urbano y la progresiva transición socio-cultural y política de una sociedad que debe gradualmente identificar y adoptar como propias las instituciones de gobierno local y su escenario, la ciudad.

Hours worked - Productivity puzzle: identification in fractional integration settings

A recent finding of the structural VAR literature is that the response of hours worked to a technology shock depends on the assumption on the order of integration of the hours. In this work we relax this assumption, allowing for fractional integration and long memory in the process for hours and productivity. We find that the sign and magnitude of the estimated impulse responses of hours to a positive technology shock depend crucially on the assumptions applied to identify them. Responses estimated with short-run identification are positive and statistically significant in all datasets analyzed. Long-run identification results in negative often not statistically significant responses. We check validity of these assumptions with the Sims (1989) procedure, concluding that both types of assumptions are appropriate to recover the impulse responses of hours in a fractionally integrated VAR. However, the application of longrun identification results in a substantial increase of the sampling uncertainty. JEL Classification numbers: C22, E32. Keywords: technology shock, fractional integration, hours worked, structural VAR, identification

El ocio terapéutico y educativo en los centros penitenciarios. Aprenentatge i Servei en el Centre Penitenciari de Lledoners

El Aprendizaje y Servicio (APS) es una propuesta educativa que combina procesos de aprendizaje y de servicio a la comunidad en un solo proyecto. El Aprenentatge i Servei en el Centre Penitenciari de Lledoners nace de la voluntad de estudiantes y docentes de la Facultad de Educación Social y Trabajo Social Pere Tarrés (URL) y del Grupo 33, una Plataforma Ciudadana de Sensibilización y Movilización, formada por más de 7.000 personas de todos los sectores de la sociedad civil, que trabaja para conseguir la reinserción real de las personas privadas de libertad. El proyecto pretende hacer frente al actual modelo de prisiones de Cataluña y promover cambios hacia un modelo rehabilitador.

From SNPs to pathways: integration of functional effect of sequence variations on models of cell signalling pathways

Background: Single nucleotide polymorphisms (SNPs) are the most frequent type of sequence variation between individuals, and represent a promising tool for finding genetic determinants of complex diseases and understanding the differences in drug response. In this regard, it is of particular interest to study the effect of non-synonymous SNPs in the context of biological networks such as cell signalling pathways. UniProt provides curated information about the functional and phenotypic effects of sequence variation, including SNPs, as well as on mutations of protein sequences. However, no strategy has been developed to integrate this information with biological networks, with the ultimate goal of studying the impact of the functional effect of SNPs in the structure and dynamics of biological networks. Results: First, we identified the different challenges posed by the integration of the phenotypic effect of sequence variants and mutations with biological networks. Second, we developed a strategy for the combination of data extracted from public resources, such as UniProt, NCBI dbSNP, Reactome and BioModels. We generated attribute files containing phenotypic and genotypic annotations to the nodes of biological networks, which can be imported into network visualization tools such as Cytoscape. These resources allow the mapping and visualization of mutations and natural variations of human proteins and their phenotypic effect on biological networks (e.g. signalling pathways, protein-protein interaction networks, dynamic models). Finally, an example on the use of the sequence variation data in the dynamics of a network model is presented. Conclusion: In this paper we present a general strategy for the integration of pathway and sequence variation data for visualization, analysis and modelling purposes, including the study of the functional impact of protein sequence variations on the dynamics of signalling pathways. This is of particular interest when the SNP or mutation is known to be associated to disease. We expect that this approach will help in the study of the functional impact of disease-associated SNPs on the behaviour of cell signalling pathways, which ultimately will lead to a better understanding of the mechanisms underlying complex diseases.

@neurIST infrastructure for advanced disease management through integration of heterogeneous data, computing, and complex processing services

The increasing volume of data describing humandisease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers. This paper presents the@neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together heterogeneous data and complex processing and computing services. Although @neurIST targets the investigation and treatment of cerebral aneurysms, the system’s architecture is generic enough that it could be adapted to the treatment of other diseases.Innovations in @neurIST include confining the patient data pertaining to aneurysms inside a single environment that offers cliniciansthe tools to analyze and interpret patient data and make use of knowledge-based guidance in planning their treatment. Medicalresearchers gain access to a critical mass of aneurysm related data due to the system’s ability to federate distributed informationsources. A semantically mediated grid infrastructure ensures that both clinicians and researchers are able to seamlessly access andwork on data that is distributed across multiple sites in a secure way in addition to providing computing resources on demand forperforming computationally intensive simulations for treatment planning and research.

Ethics Outside, Within, or Beyond OR Models

Since ethical concerns are calling for more attention within Operational Research, we present three approaches to combine Operational Research models with ethics. Our intention is to clarify the trade-offs faced by the OR community, in particular the tension between the scientific legitimacy of OR models (ethics outside OR models) and the integration of ethics within models (ethics within OR models). Presenting and discussing an approach that combines OR models with the process of OR (ethics beyond OR models), we suggest rigorous ways to express the relation between ethics and OR models. As our work is exploratory, we are trying to avoid a dogmatic attitude and call for further research. We argue that there are interesting avenues for research at the theoretical, methodological and applied levels and that the OR community can contribute to an innovative, constructive and responsible social dialogue about its ethics.