The term 'Zoopharmacognosy' was coined to describe the process by which wild animals select and use specific plants with medicinal properties against ailments and prevention of diseases. Early studies of zoopharmacognosy focused on the interactions between plants and the herbivores that consume them. The study of animal self-medication and ethno-medicinal practices may provide important leads t...

A new approach for the segregation of monaural sound mixtures is presented based on the principle of temporal coherence and using auditory cortical representations. Temporal coherence is the notion that perceived sources emit coherently modulated features that evoke highly-coincident neural response patterns. By clustering the feature channels with coincident responses and reconstructing their ...

Resolving heterogeneity among various protein data sources is a crucial problem if we want to gain more information about proteomics process. Information from multiple protein databases like PDB, SCOP, and UniProt need to integrated to answer user queries. Issues of Semantic Heterogeneity haven’t been addressed so far in Protein Informatics. This paper outlines protein data source composition a...

In this paper I wish to draw attention to a feature of judgments expressible using indexical terms such as I, here and now and the significance this feature has for discussions of Immunity to Error through Misidentification (IEM). The feature in question is this: consider a subject who sincerely expresses a belief using an utterance of the form 'λ is F', where 'λ' is an indexical term. Suppose ...

INTRODUCTION Integration of data sources refers to the task of developing a common schema as well as data transformation solutions for a number of data sources with related content. The large number and size of modern data sources make manual approaches at integration increasingly impractical. Data mining can help to partially or fully automate the data integration process.

The performance of applications, such as personal assistants and search engines, relies on high-quality knowledge bases, a.k.a. Knowledge Graphs (KGs). To ensure their quality one important task is validation, which measures the degree to statements or triples KGs are semantically correct. inevitably contain incorrect incomplete statements, may hinder adoption in business applications they not ...