61,770 research outputs found

    Knowledge and the diversity of innovation systems: a comparative analysis of European regions

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    The main goal of this paper is to shed some light on European regional diversity in terms of knowledge accumulation and socio-economic performances. Dynamic links between knowledge, innovation and performance are complex to address because they take place in different contexts, involving heterogeneous agents interacting through different institutions. Studies on national systems of innovation (Edquist, 1997) stressed the role of the institutional context in these dynamics and identify various configurations associated with these national systems. This conceptual framework, used at the regional level, leads to the identification of regional systems of innovation (Cooke, 2001) and thus underlines the limits of a regional scoreboard only based on high-tech indicators as it is usually proposed. This paper constitutes a first attempt to propose a more exhaustive effort in characterizing the diversity of "regional knowledge an innovation systems" within Europe. The study is performed through data analysis using the conceptual framework of "social systems of innovation and production" (SSIP) proposed by Amable, Barré and Boyer (1997). A Social System of Innovation and Production can be defined as a coherent combination of different components referring to Science-technology-industry (STI) configurations articulated with financial system, labour relations, education and training and economic performances. This framework can be adapted at the regional level by identifying specific arrangements of each part of the system even if the concept of system is questionable at this level. The analysis is performed combining data from three sources (Eurostat, the Cambridge Econometrics database and OST (Observatoire des Sciences et des Techniques)) over a sample of NUTS-II european regions and using multivariate data analysis (principal component analysis, hierarchical anova). Putting together the SSIP and local economic performances allows defining different regional configurations in order to identify regional trajectories and patterns of articulation between knowledge dynamics and performance. Our hypothesis is that regional growth in not a problem of best practice but of coherent knowledge combination: institutional differences may lead similar (or different) STI structures to different (respectively same) performances.NARegional Innovation systems, Knowledge economy, Institutional diversity, European regions, Regional economic performances

    Current definitions of “transdiagnostic” in treatment development: A search for consensus

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    Research in psychopathology has identified psychological processes that are relevant across a range of Diagnostic and Statistical Manual (DSM) mental disorders, and these efforts have begun to produce treatment principles and protocols that can be applied transdiagnostically. However, review of recent work suggests that there has been great variability in conceptions of the term “transdiagnostic” in the treatment development literature. We believe that there is value in arriving at a common understanding of the term “transdiagnostic.” The purpose of the current manuscript is to outline three principal ways in which the term “transdiagnostic” is currently used, to delineate treatment approaches that fall into these three categories, and to consider potential advantages and disadvantages of each approachFirst author draf

    Structural social capital and health in Italy

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    This paper presents the first empirical assessment of the causal relationship between social capital and health in Italy. The analysis draws on the 2000 wave of the Multipurpose Survey on Household conducted by the Italian Institute of Statistics on a representative sample of the population (n = 50,618). Our measure of social capital is the frequency of meetings with friends. Based on probit and instrumental variables estimates, we find that higher levels of social capital increase perceived good health.health; instrumental variables; income; social interactions; social capital; Italy

    Structural social capital and health in Italy

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    This paper presents the first empirical assessment of the causal relationship between social capital and health in Italy. The analysis draws on the 2000 wave of the Multipurpose Survey on Household conducted by the Italian Institute of Statistics on a representative sample of the population (n = 50,618). Our measure of social capital is the frequency of meetings with friends. Based on probit and instrumental variables estimates, we find that higher levels of social capital increase perceived good health.health, instrumental variables, income, social interactions, social capital, Italy

    Structural social capital and health in Italy

    Get PDF
    This paper presents the first empirical assessment of the causal relationship between social capital and health in Italy. The analysis draws on the 2000 wave of the Multipurpose Survey on Household conducted by the Italian Institute of Statistics on a representative sample of the population (n = 50,618). Our measure of social capital is the frequency of meetings with friends. Based on probit and instrumental variables estimates, we find that higher levels of social capital increase perceived good health.health, instrumental variables, income, social interactions, social capital.

    Chi-square-based scoring function for categorization of MEDLINE citations

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    Objectives: Text categorization has been used in biomedical informatics for identifying documents containing relevant topics of interest. We developed a simple method that uses a chi-square-based scoring function to determine the likelihood of MEDLINE citations containing genetic relevant topic. Methods: Our procedure requires construction of a genetic and a nongenetic domain document corpus. We used MeSH descriptors assigned to MEDLINE citations for this categorization task. We compared frequencies of MeSH descriptors between two corpora applying chi-square test. A MeSH descriptor was considered to be a positive indicator if its relative observed frequency in the genetic domain corpus was greater than its relative observed frequency in the nongenetic domain corpus. The output of the proposed method is a list of scores for all the citations, with the highest score given to those citations containing MeSH descriptors typical for the genetic domain. Results: Validation was done on a set of 734 manually annotated MEDLINE citations. It achieved predictive accuracy of 0.87 with 0.69 recall and 0.64 precision. We evaluated the method by comparing it to three machine learning algorithms (support vector machines, decision trees, na\"ive Bayes). Although the differences were not statistically significantly different, results showed that our chi-square scoring performs as good as compared machine learning algorithms. Conclusions: We suggest that the chi-square scoring is an effective solution to help categorize MEDLINE citations. The algorithm is implemented in the BITOLA literature-based discovery support system as a preprocessor for gene symbol disambiguation process.Comment: 34 pages, 2 figure

    Understanding the diversity and dynamics of living with diabetes : a feasibility study focusing on the case

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    Despite growing evidence about treatments, many people living with diabetes have poor diabetes control even when healthcare is available. One difficult issue is how to apply medical evidence to individuals. This feasibility study explores change over time and the diversity of pathways to similar health outcomes, to understand how evidence can be tailored to the individual. Six people living with diabetes (two with type 1, and four with type 2) agreed to a series of interviews and diary-keeping. Reading the dataset for each individual reveals a person changing over time through interactions with people and their context. Identifying time as a theme is difficult, as it is ubiquitous. Outcome means little to those living with diabetes: they are living on through time. We developed attributes for each participant relevant to diabetes outcome, describing how they related to others and their environment, capturing emergent properties rather than detail. A similar health outcome could be achieved very differently. Comparison of patterns of attributes may be useful. However, the dynamic, relational nature of the attributes is easily lost from view. How people function in terms of time, change and interaction may be most important for tailoring interventions for improved health outcome
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