955 resultados para Pharmacopoeias as Topic
Resumo:
[EN] The journal impact factor is not comparable among fields of science because of systematic differences in publication and citation behaviour across disciplines. In this work, a source normalization of the journal impact factor is proposed. We use the aggregate impact factor of the citing journals as a measure of the citation potential in the journal topic, and we employ this citation potential in the normalization of the journal impact factor. An empirical application in a set of 224 journals from four different fields shows that our normalization, using the citation potential in the journal topic, reduces the between-group variance with respect to the within-group variance in a higher proportion than the rest of indicators analysed.
Resumo:
Questo elaborato tratta dell'importanza dell'analisi testuale tramite strumenti informatici. Presenta la tecnica più utilizzata per questo tipo di analisi il: Topic Modeling. Vengono indicati alcuni degli algoritmi più sfruttati e si descrivono gli obiettivi principali. Inoltre introduce il Web Mining per l’estrazione di informazioni presenti nel web, specificando una tecnica particolare chiamata Web Scraping. Nell'ultima sezione dell’elaborato viene descritto un caso di studio. L’argomento dello studio è la Privatizzazione. Viene suddiviso in tre fasi, la primi riguarda la ricerca dei documenti e articoli da analizzare del quotidiano La Repubblica, nella seconda parte la raccolta di documenti viene analizzata attraverso l’uso del software MALLET e come ultimo passo vengono analizzati i topic, prodotti dal programma, a cui vengono assegnate delle etichette per identificare i sotto-argomenti presenti nei documenti della raccolta.
Resumo:
Coxsackie B viruses types 1-6 (CVB1-6) occur worldwide and cause a broad spectrum of diseases, including myocarditis and aseptic meningitis. Although renal damage due to CVB has been suspected since the 1950s, these agents are only rarely searched for in today's clinical nephrological practice. Nevertheless, CVB can infect mesangial cells. Furthermore, infections with these viruses lead to a histological picture resembling mesangioproliferative glomerulonephritis and IgA-nephropathy in mice. In the present article, we provide an overview of this largely neglected topic, and of the slowly and steadily increasing evidence suggesting a link between coxsackieviral infections and kidney diseases.
Resumo:
Is the online trade with second-hand products changing individual consumer behaviour? What is the sustainability potential of this activity? How can daily energy-consuming routines at the workplace be changed? Do major changes in the course of people's lives represent opportunities to modify their consumer behaviour towards greater sustainability? These are only some of the research questions studied in the focal topic "From Knowledge to Action - New Paths towards Sustainable Consumption" which is funded by the German Federal Ministry of Education and Research (BMBF) as part of the "Social-ecological Research Programme" (SÖF). This book gives an insight into the research results of the ten project groups. Their diversity highlights that there is much more to "sustainable consumption" than the simple purchase of organic or fair trade products.In addition, overarching conceptual and normative issues were treated across the project groups of the focal topic. Developed collaboratively and moderated by the accompanying research project, the results of the synthesis process are also presented here, as for example how the sustainability of individual consumer behaviour can be evaluated,or which theories of action are particularly useful for specific consumer behaviour phenomena.
Resumo:
Since ten years ago, it is intensely thought of human work and employment in developed countries as a consequence of the deep changes on the productive system. In this chapter we analyze at first place the concept of work and its evolution, based on recent researches. In second place we review the notions of activity, work and employment and also the definition and measurement of unemployment, which is not a very old notion. The third part is about the work rol in human life and finally we study the different alternatives on activity and specific work contracts, proposals that nowadays replace the notion of "full employment" in France.
Resumo:
Since ten years ago, it is intensely thought of human work and employment in developed countries as a consequence of the deep changes on the productive system. In this chapter we analyze at first place the concept of work and its evolution, based on recent researches. In second place we review the notions of activity, work and employment and also the definition and measurement of unemployment, which is not a very old notion. The third part is about the work rol in human life and finally we study the different alternatives on activity and specific work contracts, proposals that nowadays replace the notion of "full employment" in France.
Resumo:
Since ten years ago, it is intensely thought of human work and employment in developed countries as a consequence of the deep changes on the productive system. In this chapter we analyze at first place the concept of work and its evolution, based on recent researches. In second place we review the notions of activity, work and employment and also the definition and measurement of unemployment, which is not a very old notion. The third part is about the work rol in human life and finally we study the different alternatives on activity and specific work contracts, proposals that nowadays replace the notion of "full employment" in France.
Resumo:
This paper presents a dynamic LM adaptation based on the topic that has been identified on a speech segment. We use LSA and the given topic labels in the training dataset to obtain and use the topic models. We propose a dynamic language model adaptation to improve the recognition performance in "a two stages" AST system. The final stage makes use of the topic identification with two variants: the first on uses just the most probable topic and the other one depends on the relative distances of the topics that have been identified. We perform the adaptation of the LM as a linear interpolation between a background model and topic-based LM. The interpolation weight id dynamically adapted according to different parameters. The proposed method is evaluated on the Spanish partition of the EPPS speech database. We achieved a relative reduction in WER of 11.13% over the baseline system which uses a single blackground LM.