The presented approach and associated framework for data correction are useful for practicing engineers and other researchers, as the general concepts from this study can be applied to data collected from many instrumented geosynthetic field projects.
Although detecting such sources of non-random errors is an important part of analyzing the data produced by sequencing experiments, the purpose of this paper is to develop a framework for the correction of the random component in the noise introduced by the sequencers.
While the proposed reforms to the GRA would be useful for some intersex adults, Garland points out that a clear framework for a gender correction doesn't exist yet, and the GRA wouldn't introduce one.
While minimizing NADs cannot be a sufficient criterion for gene tree correction, it should rather be seen as one among others, such as statistical (Wu et al., 2012), syntenic (Lafond et al., 2013) or based on reconciliation with the species tree (Chaudhary et al., 2011; Lafond et al., 2013; Swenson et al., 2010), that can be integrated in a methodological framework for gene tree correction.
Combating chronic disease is not part of what the UN calls its "universal framework for development".Related items Correction: Plymouth RockAug 23rd 2007 Trade's victims: In the shadow of prosperityJan 18th 2007Yet the distinction between illnesses of affluence and illnesses of poverty is misleading as a description of the world and doubtful as a guide to policy.
We discuss a consistent discretization correction framework for PSE operators that yields the desired rate of convergence for any resolution, both on uniform Cartesian and irregular particle distributions, as well as near boundaries.
The general observation that large fires burning for some time over undulating topography can be approximated by assuming fire spread over flat ground is used to construct a quasi-empirical model framework for downslope rate of spread correction called kataburn.
In this study, we introduce a primal-dual prediction-correction algorithm framework for convex optimization problems with known saddle-point structure.
Here, through a significant extension of that framework, we propose a method for joint sparsity-driven imaging and space-variant focusing for correction of phase errors caused by moving objects.
A rational framework for an insightful characterisation of the erstwhile acceleration correction method is first set up.
