Caracterização de madeiras por pirólise com sililação on-line acoplada à cromatografia gasosa e espectrometria de massas.

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The Effect of Social Media to the Brand Awareness of a Product of a Company

Social media is an online media, where the users can easily participate, share, and create any content such as banner, posters, videos and advertisement. Many companies use these social media as a tool to promote their products and make customers aware with their brand. On the other hand, not all companies succeed to market their products and make their products are at their customers' awareness. The purpose of this research is to find the correlation between social media commu- nication marketing with companys brand awareness in social media. The research method for this research is quantitative research. This method collects data with explanative research type which explains the relationship between two variables. The result of this research is to show that marketing communication in a company has an impact to company's brand awareness. In addition, this research wants to show that marketing via social media can give impact to company's revenue. The summary of this research is to get significant information about the effect of social media toward companys brand awareness through quantitative and explanative research method due to the rising of social media

Miniaturização da análise de açúcares livres em tecido foliar pelo método de fenol-ácido sulfúrico.

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Época para estabelecimento in vitro de Liquidambar.

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Concentrações de sacarose na sobrevivência de plântulas de Eucalyptus benthamii Maid e Camb. durante o enraizamento ex vitro.

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Synchronization of Excitatory Neurons with Strongly Heterogeneous Phase Responses

In many real-world oscillator systems, the phase response curves are highly heterogeneous. However, dynamics of heterogeneous oscillator networks has not been seriously addressed. We propose a theoretical framework to analyze such a system by dealing explicitly with the heterogeneous phase response curves. We develop a novel method to solve the self-consistent equations for order parameters by using formal complex-valued phase variables, and apply our theory to networks of in vitro cortical neurons. We find a novel state transition that is not observed in previous oscillator network models.Comment: 4 pages, 3 figure