Error and attack tolerance of layered complex networks.

Many complex systems may be described by not one but a number of complex networks mapped on each other in a multi-layer structure. Because of the interactions and dependencies between these layers, the state of a single layer does not necessarily reflect well the state of the entire system. In this paper we study the robustness of five examples of two-layer complex systems: three real-life data sets in the fields of communication (the Internet), transportation (the European railway system), and biology (the human brain), and two models based on random graphs. In order to cover the whole range of features specific to these systems, we focus on two extreme policies of system's response to failures, no rerouting and full rerouting. Our main finding is that multi-layer systems are much more vulnerable to errors and intentional attacks than they appear from a single layer perspective.

Ordonnance de sortie d'hôpital: un défi pour la continuité des soins et la collaboration interprofessionnelle [Hospital's discharge prescription: a challenge for continuity of care and the interprofessional collaboration].

The transition between hospital and community is an interface at high risk for medication. "The Association of Family Doctors" committee in the canton of Vaud (MFVaud), together with community pharmacists' and Homecare representatives, have begun to consider the following improvements: fast and co-ordinated care providers' information; arrangements for family doctors appointments as soon as possible; awareness and education for interprofessional collaboration; more secured preparation of pill boxes; development of interprofessional means such as medication use reviews and reconciliations. In the opinion of all the experts, there is an urgent public health need to act in an interprofessional manner, even if the solutions required (especially change in professional culture and technologies) are not immediate.

The Impact of Industry Collaboration on Academic Research Output: A Dynamic Panel Data Analysis

The aim of this paper is to analyse the impact of university knowledge and technology transfer activities on academic research output. Specifically, we study whether researchers with collaborative links with the private sector publish less than their peers without such links, once controlling for other sources of heterogeneity. We report findings from a longitudinal dataset on researchers from two engineering departments in the UK between 1985 until 2006. Our results indicate that researchers with industrial links publish significantly more than their peers. Academic productivity, though, is higher for low levels of industry involvement as compared to high levels.

Adolescent support networks in a health care context: the interface between health, family and education

AbstractOBJECTIVEAnalyze adolescents' perceptions about support networks and their health needs.METHODAnalytical and interpretive study using focus groups conducted in municipal state schools in Fortaleza, in the State of Ceará during the first semester of 2012. The sample comprised 36 male and female adolescents aged between 13 and 16 years attending the ninth grade of the second phase of elementary school.RESULTSThematic analysis revealed that the health care support network and interaction between health professionals, education professionals and family members was insufficient, constituting a lack of an integrated network to enable and provide support for health promotion.CONCLUSIONCoordination between education, health and family services has the potential to act as a support network to help meet adolescents' healthcare needs and demands.

Societat de la vigilància 25 anys desprès de 1984 a Catalunya i UK

Desprès de un any de treball, el grup ha detectat que la relació entre protecció de dades i vídeo vigilància constitueix el nus central de la preocupació internacional en torn a la anomenada “Societat de la Vigilància”. Paral•lelament, ha constatat que a l’Estat Espanyol hi ha pocs grups que treballin aquesta cruïlla temàtica, raó per la qual la representació ibèrica en els grups de recerca europeus era minsa. Per aquestes raons, el grup ha dedicat els esforços a: 1) desenvolupar un marc teòric que faci possible entendre l’entramat legislatiu, sociològic i fenomènic de la video vigilància a Catalunya, a l’estat Espanyol, i a Europa. 2) dur a terme accions de recerca empírica qualitativa i quantitativa i relacionar-les amb aquest marc teòric. 3) crear vincles de col•laboració amb investigadors catalans, espanyols, anglesos i fins i tot europeus, començant una etapa d’integració a les xarxes de recerca en funcionament o en estat latent. En funció de les característiques de la convocatòria i del tema original que ens ocupava (la relació entre la mes coneguda obra de George Orwell -1984- i la situació actual del control social a Catalunya i al Regne Unit), s’ha posat especial èmfasi en l’establiment de vincles amb investigadors del Regne Unit; com a conseqüència, s’ha treballat amb dos de les persones “associades” al projecte (Phillip Carney i David Porteous) intercanviant dades, informació i dissenyant accions, en una col•laboració que té projecció en el futur immediat -amb la publicació d’un llibre conjunt- i mediat -mitjançant la integració de investigadors participants en aquest projecte en altres accions de recerca d’abast europeu-. Les accions realitzades en funció d’això explicat es descriuen en aquesta memòria, acompanyades d’un breu resum de les troballes mes significatives.

Reconciliation of metabolites and biochemical reactions for metabolic networks.

Genome-scale metabolic network reconstructions are now routinely used in the study of metabolic pathways, their evolution and design. The development of such reconstructions involves the integration of information on reactions and metabolites from the scientific literature as well as public databases and existing genome-scale metabolic models. The reconciliation of discrepancies between data from these sources generally requires significant manual curation, which constitutes a major obstacle in efforts to develop and apply genome-scale metabolic network reconstructions. In this work, we discuss some of the major difficulties encountered in the mapping and reconciliation of metabolic resources and review three recent initiatives that aim to accelerate this process, namely BKM-react, MetRxn and MNXref (presented in this article). Each of these resources provides a pre-compiled reconciliation of many of the most commonly used metabolic resources. By reducing the time required for manual curation of metabolite and reaction discrepancies, these resources aim to accelerate the development and application of high-quality genome-scale metabolic network reconstructions and models.

Biana: a software framework for compiling biological interactions and analyzing networks

Background: The analysis and usage of biological data is hindered by the spread of information across multiple repositories and the difficulties posed by different nomenclature systems and storage formats. In particular, there is an important need for data unification in the study and use of protein-protein interactions. Without good integration strategies, it is difficult to analyze the whole set of available data and its properties.Results: We introduce BIANA (Biologic Interactions and Network Analysis), a tool for biological information integration and network management. BIANA is a Python framework designed to achieve two major goals: i) the integration of multiple sources of biological information, including biological entities and their relationships, and ii) the management of biological information as a network where entities are nodes and relationships are edges. Moreover, BIANA uses properties of proteins and genes to infer latent biomolecular relationships by transferring edges to entities sharing similar properties. BIANA is also provided as a plugin for Cytoscape, which allows users to visualize and interactively manage the data. A web interface to BIANA providing basic functionalities is also available. The software can be downloaded under GNU GPL license from http://sbi.imim.es/web/BIANA.php.Conclusions: BIANA's approach to data unification solves many of the nomenclature issues common to systems dealing with biological data. BIANA can easily be extended to handle new specific data repositories and new specific data types. The unification protocol allows BIANA to be a flexible tool suitable for different user requirements: non-expert users can use a suggested unification protocol while expert users can define their own specific unification rules.