12 research outputs found

    Erfolgsfaktoren des Online-Vertriebs im B2C-Bereich

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    Gegenstand dieser Arbeit sind Erfolgsfaktoren eines Online-Vertriebs im Business-to- Consumer-Bereich (B2C-Bereich). Ergänzt wird die Thematik durch Möglichkeiten der Erfolgsmessung dieses Vertriebskanals. Online-Vertrieb umfasst den elektronischen Absatz von Produkten, Dienstleistungen und Informationen über das Internet, andere Computer- oder Mobilfunknetze. Die Beschränkung auf den B2C-Bereich ermöglicht eine spezifische Betrachtung der Geschäftsbeziehung zwischen Hersteller bzw. Handel und Endkunde. Um die Erfolgsfaktoren eines Online-Vertriebs zu definieren, werden zunächst grundlegende Faktoren erarbeitet und anschließend mit den Ergebnissen einer Befragung von Unternehmen, die im Online-Vertrieb tätig sind, verglichen. Die Möglichkeit außer des Internets auch das Mobilfunknetz als Absatzkanal zu nutzen wird nur technisch erläutert. Das Thema M-Commerce wird nicht näher behandelt

    PREVENÇÃO DE DOENÇAS CARDIOVASCULARES: ATIVIDADES EDUCATIVAS COM ESTUDANTES DO ENSINO MÉDIO

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    Doenças cardiovasculares (DCV) fazem parte das doenças crônicas não transmissíveis (DCNTs), as quais são responsáveis por 17 milhões de mortes ao ano. Estas são predispostas por fatores de risco relacionados a maus hábitos de vida. O artigo objetivou descrever a realização de um projeto de extensão universitária de educação em saúde e prevenção de DCVs com um público adolescente de escolas públicas do Paraná. Ao todo, 243 alunos do ensino médio participaram de uma intervenção (conversa e jogo de tabuleiro) sobre prevenção de DCVs. O questionário CARRF-KL foi utilizado como instrumento de avaliação pré e pós-intervenção. A análise dos dados constatou que maior parte dos alunos apresentou aumento de respostas corretas depois da intervenção. As respostas objetivas e subjetivas colhidas pelo estudo constataram o importante papel da intervenção na conscientização estudantil, fazendo com que a abordagem preventiva seja positiva para a saúde dos adolescentes

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    The Ectocarpus genome and the independent evolution of multicellularity in brown algae

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    Brown algae (Phaeophyceae) are complex photosynthetic organisms with a very different evolutionary history to green plants, to which they are only distantly related1. These seaweeds are the dominant species in rocky coastal ecosystems and they exhibit many interesting adaptations to these, often harsh, environments. Brown algae are also one of only a small number of eukaryotic lineages that have evolved complex multicellularity (Fig. 1). We report the 214?million base pair (Mbp) genome sequence of the filamentous seaweed Ectocarpus siliculosus (Dillwyn) Lyngbye, a model organism for brown algae2, 3, 4, 5, closely related to the kelps6, 7 (Fig. 1). Genome features such as the presence of an extended set of light-harvesting and pigment biosynthesis genes and new metabolic processes such as halide metabolism help explain the ability of this organism to cope with the highly variable tidal environment. The evolution of multicellularity in this lineage is correlated with the presence of a rich array of signal transduction genes. Of particular interest is the presence of a family of receptor kinases, as the independent evolution of related molecules has been linked with the emergence of multicellularity in both the animal and green plant lineages. The Ectocarpus genome sequence represents an important step towards developing this organism as a model species, providing the possibility to combine genomic and genetic2 approaches to explore these and other4, 5 aspects of brown algal biology further.<br/

    Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

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    Annuaire 2009-2010

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