Current AON design methods are semi-empirical involving either trial-and-error and/or preliminary experimentations.
The resulting methods are semi-discretely entropy conservative or entropy stable with respect to the volume quadrature rule used.
Currently, most of the DNA analysis methods are semi-quantitative, including polymerase chain reaction (PCR), sequencing, DNA chip and biosensors, most of which rely on the calibration curves or the comparing threshold value comparison.
While these methods are semi-quantitative in nature, they are frequently used for comparative analyses of peptide and protein abundance differences.
However, many of the current methods are semi-automatic.
Thus most methods are semi-implicit, that is implicit in the deterministic component.
The data-collection methods are semi-structured qualitative interviews, observations, clinical assessments, and certificates related to each client's HA.
Partition and clustering methods are semi-parametric approaches that aim to discretise a multi-dimensional risk surface into cells having similar risks; well known examples of such approaches are the Classification and Regression Trees (CART) [ 8] or Multifactor Dimensional Reduction (MDR) [ 9] methods.
The study looked at the writing development of the students in terms of source incorporation, identity, and language acquisition; methods were semi-ethnographic and included classroom observation, student and teacher interviews, and analysis of student writing, and course documents.
In this context, we say that the proposed method is semi automatic in nature.
The method is semi-automated and has a computer-controlled data collection and storage process.
