Sentence examples for the pattern of interest from inspiring English sources

In all political systems, be they democratic or authoritarian, the ideological underpinnings of society influence the pattern of interest group involvement in the political process including, potentially, their exclusion from the process entirely.

When exchanging patterns at this time, our aim was to identify the implementation of the pattern of interest in the system code and then substitute a suitable version of the replacement pattern.

To avoid this problem, we used negative look-ahead for form A and negative look-behind for form B. Negative look-ahead and look-behind aim at ensuring that the pattern of interest is not immediately followed or preceded by another pattern, respectively.

However, visual analysis of EEG is often challenging and time consuming, due to several types of artefacts which may be superimposed on the pattern of interest (i.e. ictal activity) and due to the large amount of data resulting from long-term EEG monitoring.

Some of the methods, unlike Fourier transforms, are not dependent on the assumption of periodicity of the pattern of interest.

Systems of this kind allow the user to specify the pattern of interest and can enhance the analytic process with advanced interfaces [ 22, 23].

Social determinants of action Ann Langley and Jean-Louis Denis, in Beyond evidence: the micropolitics of improvement, suggest that specific improvement efforts will usually fail unless they take into account the pattern of interests, values and power relationships that surround them.

It is argued that quality improvement initiatives, like other forms of organisational innovation, will fail unless they are conceived and implemented in such a way as to take into account the pattern of interests, values and power relationships that surround them.

This paper argues that however rational and reasonable they may appear on paper, quality improvement initiatives, like other forms of organisational innovation, will fail unless they are designed and implemented in such a way as to take into account the pattern of interests, values and power relationships that surround them.

KPCA runs PCA in the high-dimensional feature space through the nonlinearity of the kernel, and this allows for a refinement in the description of the patterns of interest.

Such event patterns can be defined by means of an event algebra, i.e., expressions representing the patterns of interest are built from simple events and operators such as disjunction, sequence, etc.