Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since no single corpus is large enough to saturate a machine learning system, it is necessary to learn from multiple different corpora. In this paper, we propose a solution to this challenge. We designed a rich feature vecto...

The Semantic Web relies on the creation of rich knowledge bases which link data on the Web. Having access to such a knowledge base enables significant progress in difficult and challenging tasks such as semantic annotation and retrieval. DBpedia, the RDF representation of Wikipedia, is considered today as the central interlinking hub for the emerging Web of data. However, DBpedia still displays...

Partridgeberry (Vaccinium vitis-idaea) is a polyphenol-rich berry of the Ericaceous family, grown in Newfoundland and Labrador province of Canada. The aims of this study were to identify extraction solvents for the maximum recovery of polyphenols, to establish fractionation technique for isolation of major sub-classes of polyphenols, and to evaluate antioxidant and cytoprotective properties of ...

In this work the possibility of producing vanillin through microbial bioconversion from ferulic acid obtained from the enzymatic hydrolysis of wheat bran has been explored. The biocatalyst employed was Escherichia coli JM109/pBB1, a recombinant strain containing the genes from Pseudomonas fluorescens BF13 for the transformation of ferulic acid into vanillin. The substrate of the bioconversion, ...

The effective management and exploitation of multimedia documents requires the extraction of the underlying semantics. Multimedia analysis algorithms can produce fairly rich, though imprecise information about a multimedia document which most of the times remains unexploited. In this paper we propose a methodology for semantic indexing and retrieval of images, based on techniques of image segme...

Discriminative methods for learning structured models have enabled wide-spread use of very rich feature representations. However, the computational cost of feature extraction is prohibitive for large-scale or time-sensitive applications, often dominating the cost of inference in the models. Significant efforts have been devoted to sparsity-based model selection to decrease this cost. Such featu...

The pulp surrounding the seeds of some fruits is rich in mucilage, carbohydrates, etc. Some seeds are rich in proteins and polyphenols. Fruit seeds, like cacao (Theobroma cacao) and cupuassu (Theobroma grandiflorum), are subjected to fermentation to develop flavor. During fermentation, ethanol is produced [2-6]. All of these compounds are considered as interfering substances that hinder the DNA...

As storage costs drop and bandwidth increases, there has been a rapid growth of spoken information available via the web or in online archives, raising problems of document retrieval, information extraction, summarization and translation for spoken language. While there is a long tradition of research in these technologies for text, new challenges arise when moving from written to spoken langua...

The morphology of bulk heterojunction organic photovoltaic cells controls many of the performance characteristics of devices. However, measuring this morphology is challenging because of the small length-scales and low contrast between organic materials. Here we use nanoscale photocurrent mapping, ultrafast fluorescence and exciton diffusion to observe the detailed morphology of a high-performa...

Effective responses to emergency situations require accessing both information that is known ahead of time and information from emergent sources. Whereas emergency providers have succeeded in formalizing acquisition and distribution of information from pre-existing sources, emergent and unconventional sources remain a challenge, especially in the context of rapid system-of-systems integration. ...