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All computations needed for controller design and system analysis were implemented using a freely available software toolbox.
Pattern recognition methods including principal components analysis (PCA), partial least-squared discriminant analysis (PLS-DA), orthogonal partial least-squared discriminant analysis (OPLS-DA) and computational system analysis were integrated to obtain comprehensive metabonomic profiling and pathways of the biological data sets.
The most commonly used mutation detection techniques (i.e. Sanger sequencing, Pyrosequencing, HRMA - High Resolution Melting Analysis and ARMS – Amplification Refractory Mutation System analysis) were established to offer sensitive molecular analysis, all including DNA extraction, PCR amplification and subsequent genetic test.
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System analysis is used to develop application software.
Methods of investigation are the logical-historical and system analysis are carried out.
A system analysis is developed to cover both electrochemical and thermodynamic modelling.
A methodology to automate building energy model generation and system analysis is proposed.
The thermal system analysis is a variation of the Ohm's law.
Therefore, a system analysis was performed of reed harvesting for biofuel and biofertiliser production.
Noise control automated system analysis is carried out by means of vibration control.
Currently, computer-aided tools for system analysis are distinct from project management tools.
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