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One limitation is related to the spectral analyses method for quantification of SO2 and the other is related to time resolution of the traverse method.
Data Mining (DM), also known as Knowledge Discovering in Databases (KDD) has emerged as an important analyses method for the identification of relationships between various elements of the collected information in order to discover useful knowledge and support strategic decision making systems and sustainable development in the animal, food and health industries.
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This study portrays the analytical capability of NMR spectroscopy and multivariate data analyses methods for the metabolic profiling of plant samples.
These new protocols utilize the recently developed data analyses methods for extracting indentation stress strain (ISS) curves in conjunction with the measurements of the local crystal orientations at the indentation sites using the OIM technique.
In addition, direct transformation image analyses methods developed for microCT analyses ex vivo were recently adapted to evaluate cortical bone density, morphometry and porosity in vivo, using HR-pQCT [ 38- 41].
For inelastic time history analyses, Newmark method for step by step time integration was adapted in an in-house computer program.
They urge us to practise only evidence-based medicine, by which they mean following rigid protocols based on treatments that have achieved positive results either in double-blind placebo-controlled drug trials, or meta-analyses (a method for grouping together results from several trials).
This paper proposes and analyses different methods for reducing the uncertainty in microcontroller-based time measurements, which are increasingly common in interface circuits for sensors.
Disease-pathway interactions with no targets (white fields in the heatmap Figure 2A) were excluded from further analyses (see Methods for a detailed description).
These analyses (see methods for a detailed explanation) allowed us to identify areas that gained connectivity with MCC right) or with pre-SMA bilateral) as the decision uncertainty increased in the economic decision making task.
Therefore, besides the widely used logistic regression analyses, standard methods for analyzing competing risks data can be used.
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