Glucosinolates are a major class of sulphur-containing secondary metabolites involved in plant defence against pathogens. Recently many regulatory links between glucosinolate biosynthesis and sulphate assimilation were established. Since sulphate assimilation undergoes diurnal rhythm and is light regulated, this study analysed whether the same is true for glucosinolate biosynthesis. The levels ...

A diagnostic pressure equation is incorporated into a storm-scale three-dimensional variational (3DVAR) data assimilation system in the form of a weak constraint in addition to a mass continuity equation constraint (MCEC). The goal of this diagnostic pressure equation constraint (DPEC) is to couple different model variables to help build a more dynamic consistent analysis and therefore improve ...

Data assimilation algorithms combine a numerical model with observations in a quantitative way. For an optimal combination either variational minimization algorithms or ensemble-based estimation methods are applied. The computations of a data assimilation application are usually far more costly than a pure model integration. To cope with the large computational costs, a good scalability of the ...

Opposing views have emerged in phonological and phonetic theory on whether perceptual place assimilation is exclusively attributable to gestural reduction or can be triggered by gestural overlap as well. Specifically, regressive place assimilation in Korean /pk/ clusters has been used as argument for the hypothesis that gestural reduction is uniquely responsible for perceptual place assimilatio...

Chromatic assimilation is a shift toward the color of nearby light. Several studies conclude that a neural process contributes to assimilation but the neural locus remains in question. Some studies posit a peripheral process, such as retinal receptive-field organization, while others claim the neural mechanism follows depth perception, figure/ground segregation, or perceptual grouping. The expe...

The method of model fitting, or adjoint method, is applied to a barotropic hurricane track forecast model described by DeMaria and Jones using a large sample of forecast cases. The sample includes all Atlantic tropical cyclones that reached hurricane intensity during the 1989–93 hurricane seasons (141 72-h forecasts of 17 storms). The cases considered by DeMaria and Jones are a subset of the pr...

In this paper, we propose Deep Data Assimilation (DDA), an integration of (DA) with Machine Learning (ML). DA is the Bayesian approximation true state some physical system at a given time by combining time-distributed observations dynamic model in optimal way. We use ML order to learn assimilation process. particular, recurrent neural network, trained dynamical and results process, applied for ...

In child language, consonants often assimilate in primary place of articulation across intervening vowels. In adult language, primary place assimilation occurs only between adjacent consonants. In both cases, the first consonant usually assimilates to the second. The standard analysis of directionality of local assimilation in Optimality Theory uses positional faithfulness to protect the second...

This report aims to critically review the work carried out to-date on the assimilation of data into ocean ecosystem and coupled bio-physical models. The review is prompted by the newly available ocean colour data from SeaWiFS and OCTS, and their potential use for data assimilation to improve both the models and their predictive capabilities. In addition, some initial results on the comparison o...

This paper describes a novel method to incorporate significantly time-lagged data into a sequential variational data assimilation framework. The proposed method can assimilate data that appear many assimilation window lengths in the future, providing a mechanism to gradually dynamically adjust the model towards those data. The method avoids the need for an adjoint model, significantly reducing ...