His epistemological principle of "verum ipsum factum", which he directed against Descartes, gives rise to the division of the term "fact" into two categories: facts that are organic and inorganic in nature, which are predefined for man.
Adolescents can pick two important values from a predefined list (e.g. "Nature and the environment important for me") on which feedback is provided how physical activity fits with that value.
Second, enrichment analyses are biased toward what we already know concerning pathway membership, and most predefined gene categories are very general in nature, making it more difficult to develop testable hypotheses with the goal of investigating specific disease mechanisms.
However, in order to use an RBF in the topographic reduction problem, which does not have predefined targets but only considers the distance-preserving nature of the target values, the traditional supervised Radial Basis Function network needs to be modified by using relative supervision where it is only the relative distances between pattern pairs which are important [ 15].
Reconstructing the serial sectioned data required the development of an adaptive stitching algorithm to montage individual tiles from each section due to the sparse nature of this periodic structure where a predefined stitching pathway does not perform well.
In view of the FFF nature, which produces specimens layer by layer and following predefined orientations, the main assumption considered is that the materials behave like laminates formed by orthotropic layers.
It is noted that, as observed in Figure 3, RT users' average achieved throughput is slightly larger than their predefined fixed downlink transmission rate, due to the system's preemptive nature when supporting RT services (determined by the values of triggering parameter ).
This approach to phenotyping grew in parallel with the evolution of clinical trials that, by their contemporary nature, tend to be diagnostically overinclusive, downplaying (except by predefined subgroup analyses when feasible) differences in phenotype that may better predict outcomes or response to therapy (eg, subpopulation differences in response to specific antihypertensive therapies).
Application of these more advanced techniques are typically explorative in nature, being developed based on the data rather than being predefined.
Fourier and wavelet transforms (built upon predefined basis functions) are traditional methods that sometimes face difficulties to reveal the nature of real life complex data.
