This paper presents an enhanced version of the original method, designated as Life-Cycle Cost Wind Design (LCCWD) procedure, which includes TMD devices.
This method, designated as molecular structural mechanics approach, is thus proved to be an efficient means to predict the buckling characteristics of carbon nanotubes.
We previously developed a simple method, designated cocktail δ-integration, to optimize the level of cellulase expression for cellulose degradation (Yamada et al. 2010b).
However, many performance metrics exist (Makridakis and Hibon 1995), with no single method designated as the best (Winkler and Murphy 1992).
We present a model-based method, designated Inverse Metabolic Control Analysis (IMCA), which can be used in conjunction with classical Metabolic Control Analysis for the analysis and design of cellular metabolism.
With regard to the electropolymerization of PPy on the MWCNTs-coated FTO substrate by conventional cyclic voltammetry (CV) method (designated as MWCNT/PPy-CV CE), the MWCNT/PPy-PR CE still retrained the mesoporous morphology originating from the MWCNT conductive framework and the PPy thin film was found to be evenly coated on the MWCNT surface.
The proposed MIO classification method designated as the FVM-index method integrates fuzzy set theory (FST), variable precision rough set (VPRS) theory, and a modified cluster validity index (MCVI) function, and is designed specifically to filter out the uncertainty and inaccuracy inherent in the surveyed MIO real-valued dataset; thereby improving the classification performance.
In the present study, a simple and rapid sample preparation method designated ultrasound-assisted dispersive liquid-liquid microextraction based on a deep eutectic solvent (DES) followed by high-performance liquid chromatography with ultraviolet (UV) detection (HPLC-UVD) was developed for the extraction and determination of UV filters from water samples.
This method, designated correlation index-based responsible-enzyme gene screening (CIRES), successfully identified genes already known to be involved in the biosynthesis of certain glycans.
We then compared our MMES based empirical method with logistic regression model the same way as before: all predicted junction by MMES based method (designated as P0.01) and logistic regression model (designated as LR) were divided into 3 non-overlapping categories: common, P0.01_uniq and LR_uniq (Figure 3C).
