Sentence examples for tools to account from inspiring English sources

The scientific community, forest managers, environmental organizations, carbon-offset trading systems and policy-makers require tools to account for forest carbon stocks and carbon stock changes.

In the pool, we applied newly developed tools to account for the peculiarities of these data.

The possibility of some adverse effect of HAART on cancer risk will be raised again, and it is therefore important to use adequate monitoring tools to account for the concurrent dramatic increase in the life expectancy of PHWA (Polesel et al, 2010).

The revised CTTC model is proposed as the basis for a tool to account for urban modification to air temperature in the simulation and design of HVAC systems in buildings.

We suggest the method herein provides the modeler with an added tool to account for sediment transport criteria and has the potential to reduce computational costs in watershed erosion modeling.

Based on the present study, we believe MMBMs can be a promising tool to account for the effects of water chemistry on metal mixture toxicity during chronic exposure and could be used in metal risk assessment frameworks.

We believe that future experiments using this and similar models can shed more light on other synaptic plasticity rules and their relationship to memory and learning, both for future artificial intelligence systems, and as a research tool to account for existing neural systems.

Benjamini and Hochberg false discovery rates were also reported by the tool to account for multiple testing.

With careful definition of correlation structure and careful application of spatial smoothing, spatial GLMMs are a valuable tool to account explicitly for the effects of residual spatial correlation during the regression modelling process.

Given that repeated measures are collected within individuals (at the various CpG cites), we employed mixed effects models as the analysis tool to account for correlation structure of the data.

For over-representation analysis, we introduce the BiasAway tool to account for the non-random properties of regulatory sequences; such accounting has strongly informed the design of de novo motif discovery methods, but has been inadequately addressed for over-representation studies.