Introduction: The model for screening antidepressant-like activity in pre-clinical drug studies include, rat forced swimming test (FST). The reports on N-acetylcysteine (NAC) as an antioxidant supplement in stress related disorder is well documented. This study was aimed at potential antidepressant mechanism of N- Acetyl Cysteine (NAC), a glutamate precursor on FST animal model for screening an...

We give a FST description of nominal and finite verb morphology of Azarbaijani Turkish. We use a hybrid approach where nominal inflection is expressed as a slot-based paradigm and major parts of verb inflection are expressed as optional paths on the FST. We collapse adjective and noun categories in a single nominal category as they behave similarly as far as their paradigms are concerned. Thus,...

Recently, finite-state transducers (FSTs) have been shown to be useful for a number of applications in speech and language processing. FST operations such as composition, determinization, and minimization make manipulating FSTs very simple. In this paper, we present a method to learn weights for arbitrary FSTs using the EM algorithm. We show that this FST EM algorithm is able to learn pronuncia...

We describe the generation of an Arabic full-form lexicon and its conversion into a two-level Finite State Transducer (FST) for morphology analysis and generation. The implementation of morphological lookup is based on a representation of the relevant data in the form of a FST, for which generic implementations exist that facilitate the integration into larger software systems for natural langu...

Pre-clinical trials of treatment in retinal degenerations have shown progress toward preventing loss or restoring function of rod photoreceptors. In anticipation of human clinical trials, we assessed two psychophysical methods of quantifying rod photoreceptor-mediated function as potential outcome measures. Modified automated perimeters were used to deliver focal or full-field light stimuli and...

We compare the utility of two methods for estimating the average levels of gene flow from DNA sequence data. One method is based on estimating FST from frequencies at polymorphic sites, treating each site as a separate locus. The other method is based on computing the minimum number of migration events consistent with the gene tree inferred from their sequences. We compared the performance of t...

The finite state transducer (FST) approach [1] has been widely used recently as an effective and flexible framework for speech systems. In this framework, a speech recognizer is represented as the composition of a series of FSTs combining various knowledge sources across sub-lexical and high-level linguistic layers. In this paper, we use this FST framework to explore some sublexical modelling a...

This paper describes the development of the motorcycle (MC) model and validation using a MC – wall Full Scale Test (FST). Individual components like the seat, tires and shock absorbers were tested as per procedures given in ISO13232 [5] and their FE models were validated against the component test data. A crash test of the motorcycle with a rigid wall had been conducted. There is a reasonable m...

Explanation-based Learning techniques have been applied in NLP for speeding up parsing in limited domains. In 7], we showed that combining the LTAG representation with the EBL technique provides a novel method for parsing based on a FST mechanism and demonstrated a speedup in parsing times on the ATIS corpus. In this paper, we extend that approach to account for cases of \long distance extrac-t...