3,856 research outputs found

    Model of Enterpreneurship and Social-cultural and Market Orientation of Small Business Owners in Poland

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    In the development of SMEs in Poland crucial meaning is legislation, steadily adapted to EU regulations, especially to the European Charter for Small Enterprises. Research conducted in Poland by many authors provide data for doing so, to confirm the hypothesis that among small businesses a vital role in shaping their work situation did not continue to play the market mechanisms and orientations, but mainly socio-cultural factors.W rozwoju MŚP w Polsce podstawowe znaczenie mają również uregulowania prawne, systematycznie dostosowywane do regulacji unijnych, zwłaszcza zaś do Europejskiej Karty Małych Przedsiębiorstw. Badania prowadzone w Polsce przez wielu autorów dostarczają danych ku temu, by potwierdzić tezę, że wśród drobnych przedsiębiorców decydującą rolę w kształtowaniu ich sytuacji pracy odgrywają nadal nie mechanizmy i orientacje rynkowe, ale przede wszystkim czynniki społeczno-kulturowe

    Incretin-Based Therapies for the Treatment of Type 2 Diabetes: Evaluation of the Risks and Benefits

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    Limited evidence suggests that GLP-I may also preserve ventricular function and improve outcomes in human subjects with heart failure or myocardial infarction (11,12). [...] both exenatide and liraglutide reduce blood pressure, body weight, and plasma lipid profiles in subjects with type 2 diabetes (13), raising the hope that longterm treatment with these agents may reduce the incidence of cardiovascular events.\n However, two safety issues have been raised - pancreatitis and medullary carcinoma of the thyroid

    Security Evaluation of Support Vector Machines in Adversarial Environments

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    Support Vector Machines (SVMs) are among the most popular classification techniques adopted in security applications like malware detection, intrusion detection, and spam filtering. However, if SVMs are to be incorporated in real-world security systems, they must be able to cope with attack patterns that can either mislead the learning algorithm (poisoning), evade detection (evasion), or gain information about their internal parameters (privacy breaches). The main contributions of this chapter are twofold. First, we introduce a formal general framework for the empirical evaluation of the security of machine-learning systems. Second, according to our framework, we demonstrate the feasibility of evasion, poisoning and privacy attacks against SVMs in real-world security problems. For each attack technique, we evaluate its impact and discuss whether (and how) it can be countered through an adversary-aware design of SVMs. Our experiments are easily reproducible thanks to open-source code that we have made available, together with all the employed datasets, on a public repository.Comment: 47 pages, 9 figures; chapter accepted into book 'Support Vector Machine Applications

    New Measurements of Nucleon Structure Functions from the CCFR/NuTeV Collaboration

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    We report on the extraction of the structure functions F_2 and Delta xF_3 = xF_3nu-xF_3nubar from CCFR neutrino-Fe and antineutrino-Fe differential cross sections. The extraction is performed in a physics model independent (PMI) way. This first measurement for Delta xF_3, which is useful in testing models of heavy charm production, is higher than current theoretical predictions. The F_2 (PMI) values measured in neutrino and muon scattering are in good agreement with the predictions of Next to Leading Order PDFs (using massive charm production schemes), thus resolving the long-standing discrepancy between the two sets of data.Comment: 5 pages. Presented by Arie Bodek at the CIPNAP2000 Conference, Quebec City, May 200

    A gestão de dados de pesquisa no contexto da E-Science: benefícios, desafios e oportunidades para organizações de P&D.

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    O compartilhamento de recursos computacionais, o acesso distribuído a grandes conjuntos de dados e o uso de plataformas digitais para colaboração e comunicação são características que distinguem a e-Science do paradigma científico tradicional. Esse trabalho situa a Gestão de Dados de Pesquisa como elemento propulsor do avanço científico e tecnológico no paradigma emergente da e-Science, e alerta quanto aos desafios que se impõem às universidades e organizações atuantes no setor de Pesquisa e Desenvolvimento. Além de explorar os princípios e os fundamentos da Gestão de Dados de Pesquisa, o trabalho propõe, a partir de uma abordagem pragmática, um roteiro para a implantação de um programa institucional de Gestão Dados de Pesquisa

    O compromisso pela ciência aberta na Open Government Partnership: avanços na governança de dados científicos no Brasil.

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    Os movimentos internacionais de 'governo aberto' e 'ciência aberta'. O compromisso pela ciência aberta na agenda brasileira do governo aberto. Os três desafios para o avanço da ciência aberta no Brasil. Os mecanismos de governança para abertura dos dados científicos. Considerações finais

    Plataforma web para sistemas de informação geoespacial (SIG): aplicações no projeto GeoDegrade.

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    O projeto ?Desenvolvimento de geotecnologias para identificação e monitoramento de níveis de degradação em pastagens - GeoDegrade? tem como objetivo principal desenvolver metodologias para a identificação e o monitoramento de níveis de degradação em pastagens dos biomas Amazônia, Cerrado e Mata Atlântica (Nogueira et al, 2013). O presente documento tem como objetivo a demonstrar o potencial do repositório digital GeoInfo no gerenciamento e compartilhamento de informações geoespaciais do projeto Geodegrade
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