Individual-based models (IBMs), the biological agentbased models, are currently being applied to the study of microbial systems. A microbial IBM of yeast populations growing in liquid bath cultures has already been designed and implemented in the simulator called INDISIM-YEAST. In order to improve its predictive capabilities and further its development, a deeper understanding of how the variati...

Mathematical models are powerful tools for simulating plausible epidemic spread scenarios and for evaluating the impact of control policies. They represent the scientific basis on which public health policy makers should take their decisions on the intervention strategies that should be performed at local, national and international scale. In this context, Individual-Based simulation Models (IB...

Affix grammars are used to describe the instruction-set of a target architecture for purposes of compiler code generation A code generator is obtained automatically for a compiler using attributed parsing techniques. A compiler built on this model can automatically perform most popular machine-dependent optimizations, including peephole optimizations. Implementations of code generators based on...

This paper describes improved HMM-based word level alignment models for statistical machine translation. We present a method for using part of speech tag information to improve alignment accuracy, and an approach to modeling fertility and correspondence to the empty word in an HMM alignment model. We present accuracy results from evaluating Viterbi alignments against human-judged alignments on ...

OBJECTIVE To characterise morphological abnormalities in relation to muscle fibre type in sporadic inclusion body myositis (s-IBM). METHODS 14 muscle biopsies from 11 patients with s-IBM were characterised for morphological abnormalities and fibre type composition as well as muscle fibre regeneration and cytoskeletal structure, using histochemical and immunohistochemical techniques. RESULTS...

This paper describes improved HMM-based word level alignment models for statistical machine translation. We present a method for using part of speech tag information to improve alignment accuracy, and an approach to modeling fertility and correspondence to the empty word in an HMM alignment model. We present accuracy results from evaluating Viterbi alignments against human-judged alignments on ...

It is shown that a consistent description of magnetic dipole properties in transitional nuclei can be obtained in the interacting boson model-2 by Fspin breaking mechanism, which is associated with differences between the proton and neutron deformations. In particular, the long standing anomalies observed in the g-factors of the Os-Pt isotopes are resolved by a proper inclusion of F-spin breaki...

We experiment graph-based SemiSupervised Learning (SSL) of Conditional Random Fields (CRF) for the application of Spoken Language Understanding (SLU) on unaligned data. The aligned labels for examples are obtained using IBM Model. We adapt a baseline semisupervised CRF by defining new feature set and altering the label propagation algorithm. Our results demonstrate that our proposed approach si...