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This paper describes a new fast Reverse Engineering (RE) method for creating a 3D computerized model from an unorganized cloud of points.
Finally, the RE method is based on the assumption that the unobserved specific effects of the olive oil are uncorrelated with the variables included in the regression (Greene 2003).
In this study, we applied a relation extraction (RE) method based on cooccurrence findings, which assumes that a biomarker and a disease are associated if they are mentioned together in the same sentence.
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Re "Methods Are Many to Reduce Blood Pressure" (July 2): Another method for lowering blood pressure is acupuncture.
Remote experimentation (RE) methods will be essential in next generation fusion devices.
Therefore, there seems to be a need for RE methods that can be used in these contexts.
Existing Reverse Engineering (RE) methods are time-consuming, error-prone, and destructive and require reference samples which makes them not feasible for non-OEM users of electronic devices.
These features of our approach differ from traditional RE methods such as interviews or workshops and stem from its distinct nature: it is based on an SNS end users are already familiar with.
Although in the presence of heterogeneity the RE model is more statistically sound, RE methods operate under a fairly conservative assumption that even null associations can have greatly varying effect sizes.
Unlike the conservative traditional RE methods this new method has been shown to achieve higher statistical power when heterogeneity exists, allowing for new discoveries in the field of genetic epidemiology.
The MinDiff-RE method uses the same approach as Max-Min-RE, except the goal is to minimize the difference in residual energy.
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