Suaeda iranshahrii Akhani & Freitag, previous specimens cited as S. maritima,is described as a new species of sect. Brezia endemic to the coasts of the Persian Gulf; it is subdivided into the type variety distributed along the Persian side and var. arabica Freitag from the Arabian shore. The new species is named in honour of Dr. Musa Iranshahr, the eminent Iranian botanist to whom this Festschr...

This paper introduces a new algorithm bio-inspired on organic chemistry for approximation problems, named artificial hydrocarbon networks (AHN). In fact, hydrocarbon compounds present characteristics as stability, well-forming structures, and easily-spanning; properties that are needed modeling problems. Actually, artificial organic networks are also presented as basis of AHNs. The description ...

“Short-text clustering” is a very important research field due to the current tendency for people to use very short documents, e.g. blogs, text-messaging and others. In some recent works, new clustering algorithms have been proposed to deal with this difficult problem and novel bio-inspired methods have reported the best results in this area. In this work, a general bio-inspired method based on...

the new competitive environment changes the paradigm of power system operation. in the transmission area, open access process provides fair accessibility for all market participants. congestion management is one of the most important side effects of this new process. this paper proposes a new approach for congestion management which is based on both active and reactive re-dispatch of the networ...

Named Entity Recognition is an information extraction technique that identifies name entities in a text. Three popular methods have been conventionally used namely: rule-based, machine-learning-based and hybrid of them to extract named entities from a text. Machine-learning-based methods have good performance in the Persian language if they are trained with good features. To get good performanc...

We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen as tasks of assigning labels to words in bioliterature text. To improve supervised tagging, WCL learns a class of word-level feature embeddings to capture word semantic meanings or word label patterns from a large unl...