Increases in spiny lobster size and abundance have been observed within some marine protected areas (MPAs). To date, the potential economic benefits of these changes have been assumed to derive from the effects of emigration of adult lobster to adjacent fishing grounds and/or increased larval export to downstream nurseries that sustain fisheries. According to economic theory, these effects may ...

Salvia rosmarinus Spenn (synonym: Rosmarinus officinalis L.) is economically and medically important grows naturally in Al-Marj (Libya). Macro, micro morphological chemical characteristics were studied. Leaf venation, leaf anatomy compounds of essential oils carried out according to traditional methods. The objective the present study provide detailed description this species. Morphological cha...

Challenging evaluation of tropical forest biodiversity requires the reporting of taxonomic diversity but also the systematic characterization of wood properties in order to discover new promising species for timber industry. Among wood properties, the dimensional stability is regarded as a major technological characteristic to validate whether a wood species is adapted to commercial uses. Cell ...

Automatic summarization is the process of reducing a text Document with a computer program in order to create a summary that retains the most important points of the original document. As The problem of information overload has grown, and as the quantity of data has increased, so has interest in automatic summarization. It is very difficult for human beings to manually summarize large documents...

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We demonstrate TextRank – a system for unsupervised extractive summarization that relies on the application of iterative graphbased ranking algorithms to graphs encoding the cohesive structure of a text. An important characteristic of the system is that it does not rely on any language-specific knowledge resources or any manually constructed training data, and thus it is highly portable to new ...

Most approaches to extractive summarization define a set of features upon which selection of sentences is based, using algorithms independent of the features themselves. We propose a new set of features based on low-level, atomic events that describe relationships between important actors in a document or set of documents. We investigate the effect this new feature has on extractive summarizati...

We present two novel and contrasting Recurrent Neural Network (RNN) based architectures for extractive summarization of documents. The Classifier based architecture sequentially accepts or rejects each sentence in the original document order for its membership in the final summary. The Selector architecture, on the other hand, is free to pick one sentence at a time in any arbitrary order to pie...