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Photovoltaic characteristics of DSSCs with and without TiO2 NT underlayer are compared using various electrochemical analyses.
Designs are compared using various criteria and a simulation study is conducted to investigate design performance with respect to power and false discovery rates.
When individual satisfaction items are compared using various sociodemographic variables few are significant.
The two models were compared using various fit statistics, both overall and by group.
After normalization, genomics or proteomics variables from control and diseased groups are compared using various statistical models (P value, analysis of variation, signal-to-noise ratio, correlation) to identify variables that are specially associated with disease condition.
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The quality of the reconstructed images from experimental data is compared using image resolution parameter for various level of missing data and the results clearly showed how image quality drops with missing information.
Ratio distributions were tabulated, and differences between analytes compared using linear regression with the various analytes ranked and assigned indicator variables based on chemical properties (i.e. molecular weight or number of chlorine atoms).
The analysis frames are optimized for given applications and compared numerically using various criteria.
Their phase composition, surface morphology and electrochemical property are described and compared by using various physical/chemical methods.
The proposed algorithms were empirically tested and compared by using various sets of differently sized test data: some theoretical classes of graphs with known optimal solutions and some special classes of graphs chosen from the literature for the k-minimum spanning tree and Roman domination problems.
Discrete Applied Mathematics 2001;110 13 24] and best next for maximal available symbol algorithm [Huang KS, Yang CB, Tseng KT. Fast algorithms for finding the common subsequence of multiple sequences. In: Proceedings of international computer symposium; 2004. p. 90 95] were tested and compared by using various sets of DNA and protein sequences.
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CEO of Professional Science Editing for Scientists @ prosciediting.com