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This survey would assist managers to prioritize and make rational decisions for improving water quality used for irrigation.
Such results demonstrate the potential of this approach for building new knowledge about how learning takes place and progresses in a 3D VLE and for making data-driven design decisions for improving the learning experience in the online social context.
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See related research by Korfage et al., http://breast-cancer-research.com/content/15/5/R74 The article by Korfage and colleagues in this issue of Breast Cancer Research investigates the efficacy of an online decision aid for improving informed decision-making about breast cancer chemoprevention amongst women with increased risk of developing breast cancer [ 1].
The region is classified into flat, edge, and pattern regions in the Bayer CFA for more accurate edge direction decisions and for improving the computational efficiency in the color demosaicing process.
Both analyses have demonstrated the validity of the proposed decision tree for improving path selection.
Inference analysis using genetic algorithms contributes to the performance forecasting and decision support for improving reverse logistic efficiency.
Agricultural water management is the core part of agricultural efficient water use in irrigation districts, which provides basic guarantee and decision-support for improving the efficiency of water production.
Accordingly, context-aware applications can show advanced computational understanding of the urban environment and react from this understanding in a knowledgeable manner through intelligent decision-making for improving different aspects of sustainability through optimization, control, management, and planning of urban systems.
They found it useful for making their decision and for improving communication with their patients; they found the information collected via the tool relevant.
The score outperforms scores for inappropriate medication use in risk-prediction ability and can ultimately aid in clinical decision-making for improving outcomes in elderly patients.
The score is suggested as a tool for identifying patients at highest risk of readmissions and mortality, and ultimately as an aid in clinical decision-making for improving outcomes in these patients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com