This paper 1 introduces a new line of research which ensures soundness and completeness in Natural Language text planners on top of an ee-cient control strategy. The work builds on the HUNTER-GATHERER analysis system (Beale, 96; Beale & Nirenburg, 96). That system employs constraint satisfaction, branch-and-bound and solution synthesis techniques to produce near linear-time processing for knowl...

In this paper we prove that the set of properties check-able by a Turing machine in DSPACEn k ] is exactly equal to the set of properties describable by a uniform sequence of rst-order sentences using at most k + 1 distinct variables. We prove that this is also equal to the set of properties describable using an iterative definition for a nite set of relations of arity k. This is a reenement of...

We show that a lower bound for covariance of min(X 1 , X 2) and max(X 1 , X 2) is cov (X 1 , X 2) and an upper bound for variance of min(X 2 , max(X, X 1)) is var (X) + var (X 1) + var (X 2) generalizing previous results. We also characterize the cases where these bounds are sharp.

After publication of the article [1], it has been brought to our attention that the original version of this Article contained a typo in the 3rd paragraph of the section 'Review process and data extraction'. It concerns the equation published as "Var(lnRR) = Var(lnR1 + lnR0)". On the right part, the "+" within the parenthesis should be "-", as defined and derived from the left part. As a result...

The essential JIL-1 histone H3S10 kinase is a key regulator of chromatin structure that functions to maintain euchromatic domains while counteracting heterochromatization and gene silencing. In the absence of the JIL-1 kinase, two of the major heterochromatin markers H3K9me2 and HP1a spread in tandem to ectopic locations on the chromosome arms. Here we address the role of the third major hetero...

[1] In this study, the performance of inverse threedimensional variational assimilation (I3D-Var) is investigated in terms of dissipation process for an advection-diffusion problem. The performance of I3D-Var becomes poorer with larger diffusion coefficients. However, even for strong dissipation, the cost function during early iterations in the I3D-Var decreases still much faster than it does i...

In this paper, we briefly review the basics of copula theory and the problem of estimating Value at Risk (VaR) of portfolio composed by several assets. We present two VaR estimation models in which each return series is assumed to follow AR(1)-GARCH(1, 1) model and the innovations are simultaneously generated using Gaussian copula and Student t copula. The presented models are applied to estima...

In Section 3 we showed that our method can have more power to detect o-eSNPs. Here we discuss its power to detect SNPs whose functional mechanisms have non-regulatory components. For simplicity we again consider only continuous Yi, Gi, and a single SNP Si in the ordinary linear model, where the variables have all been centered. We now consider the outcome model Yi = G T i αG + αSSi + i1, where ...