9,107 research outputs found

    Inverse comorbidity: the power of paradox in the advancement of science

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    Research on comorbidity and multimorbidity is finally receiving the attention it deserves, particularly considering the magnitude and impact they have on health and the delivery of healthcare [1,2]. Numerous studies have demonstrated that individuals with Down’s syndrome, Parkinson’s disease, schizophrenia, diabetes, anorexia nervosa, Alzheimer’s disease, allergy related diseases, multiple sclerosis or Huntington’s disease (among other health problems) are protected against many forms of cancer, including solid tumors, smoking-related tumors and prostate cancer. This apparent anti-cancer effect, which we have termed inverse cancer comorbidity, has been observed in many serious CNS and immune disorders, and is the subject of active research [3–5].Journal of Comorbidity 2013;3(1):1–3

    Growth in a cross-section of cities: location, increasing returns or random growth?

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    This article analyzes empirically the main existing theories on income and population city growth: increasing returns to scale, locational fundamentals and random growth. To do this we implement a threshold nonlinearity test that extends standard linear growth regression models to a dataset on urban, climatological and macroeconomic variables on 1,175 U.S. cities. Our analysis reveals the existence of increasing returns when per-capita income levels are beyond $19; 264. Despite this, income growth is mostly explained by social and locational fundamentals. Population growth also exhibits two distinct equilibria determined by a threshold value of 116,300 inhabitants beyond which city population grows at a higher rate. Income and population growth do not go hand in hand, implying an optimal level of population beyond which income growth stagnates or deteriorates.Threshold nonlinearity test, locational fundamentals, multiple equilibria, random growth

    Growth in a Cross-Section of Cities: Location, Increasing Returns or Random Growth?

    Get PDF
    This article analyzes empirically the main existing theories on income and population city growth: increasing returns to scale, locational fundamentals and random growth. To do this we implement a threshold nonlinearity test that extends standard linear growth regression models to a dataset on urban, climatological and macroeconomic variables on 1,175 U.S. cities. Our analysis reveals the existence of increasing returns when per-capita income levels are beyond $19; 264. Despite this, income growth is mostly explained by social and locational fundamentals. Population growth also exhibits two distinct equilibria determined by a threshold value of 116,300 inhabitants beyond which city population grows at a higher rate. Income and population growth do not go hand in hand, implying an optimal level of population beyond which income growth stagnates or deterioratesthreshold nonlinearity test, locational fundamentals, multiple equilibria, random growth

    The Balanced Innovation Model. The case of Crowdfunding platforms.

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    Purpose – The paper aims to analyze balanced centricity (Gummesson, 2008) as an institutional arrangement (Vargo and Lusch, 2016) fostering the innovation process by taking out the customer from the central positioning to involve other business partners. The practices of actors’ service ecosystem are put in focus (Russo Spena et al., 2017; Tronvoll, 2017). Methodology–. Qualitative case study research was conducted using different methods of data generation including personal interviews and netnography analysis of the crowdfunding context. fifteen cases on the crowdfunding context from five different platforms and in four different countries were analysed. Research limitations/implications (if applicable) –The empirical approach considers fifteensuccess cases on the crowdfunding context in four different platforms and countries. Other contexts, different from the crowdfunding and other countries would be useful to add new perspectives to the theory development. Originality– The present paper defines a theoretical Model for Balanced Innovation, that brings together the concepts “Balanced Centricity”, “Innovation” and “Service ecosystems”. Hitherto, it offers a basis for designing systems of value co-creation which aims to facilitate innovation through institutionalization and value co-creation in viable service ecosystems.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

    A formula for the trace of symmetric powers of matrices

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    We present a formula for the trace of any symmetric power of a n×nn\times n matrix (with coefficients in a field) in terms of the ordinary powers of the matrix, an arbitrarily chosen linear function which vanishes on the identity matrix, and n−2n-2 polynomial functions defined recursively

    The role of network ties in reaching radical innovation

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    The purpose of this paper is to analyze how institutions can facilitate or inhibit radical innovation. The authors maintain that organizational radical innovation is necessary to maintain a competitive advantage and evolve in the market place, and institutions are the basis of this innovation. From an innovation and Service Dominant Logic perspective, the authors propose network ties to be a determining factor for the achievement of innovation through institutionalization in the University knowledge management context.Universidad de MĂĄlaga. Campus de Excelencia Internacional AndalucĂ­a Tec
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