Recent studies of exotic hadrons from lattice QCD simulations are briefly reviewed. Hybrid bgb molecules in which the heavy bb pair is bound together by the excited gluon field g are investigated using the Born-Oppenheimer expansion and quenched numerical simulations. The consistency of results from the two approaches reveals a simple and compelling physical picture for heavy hybrid states. Res...

We present a combined experimental and theoretical study of cold reactive collisions between laser-cooled Ca+ ions and Rb atoms in an ion-atom hybrid trap. We observe rich chemical dynamics which are interpreted in terms of nonadiabatic and radiative charge exchange as well as radiative molecule formation using high-level electronic structure calculations. We study the role of light-assisted pr...

The paper focuses on the creation of a semantic-based hybrid Machine Translation system between Bulgarian and English in the domain of Information Technology. The preprocessing strategies are presented. A method for the substitution of English word forms with the synsets or Bulgarian representative lemmas is discussed. Finally, the creation of a factored model in the Moses system is described.

This paper describes a shallow parsing formalism aiming at machine translation between closely related languages. The formalism allows to write grammar rules helping to (partially) disambiguate chunks in input sentences. The chunks are then translatred into the target language without any deep syntactic or semantic processing. A stochastic ranker then selects the best translation according to t...

In the current European scenario, characterized by the coexistence of communities writing and speaking a great variety of languages, machine translation has become a technology of capital importance. In areas of Spain and of other countries, coofficiality of several languages implies producing several versions of public information. Machine translation between all the languages of the Iberian P...

We apply functional approximation techniques to obtain features from online data and use these features to train support vector machines (SVMs) for online mathematical symbol classification. We show experimental results and comparisons with another SVM-based system trained using features used in the literature. The experimental results show that the SVM trained using features from functional ap...

A hybrid meta-heuristic optimization method is introduced to efficiently find the optimal shape of concrete gravity dams including dam-water-foundation rock interaction subjected to earthquake loading. The hybrid meta-heuristic optimization method is based on a hybrid of gravitational search algorithm (GSA) and particle swarm optimization (PSO), which is called GSA-PSO. The operation of GSA-PSO...

This paper presents a Matlab based simulation model to regulate the terminal voltage and frequency of three phase self-excited induction generator using switching control . A new block in Matlab has been developed for steady state analysis of three phase self-excited induction generator wherein the output voltage and frequency of generator remains constant irrespective of changes in consumer lo...