Sentence examples for module relies on from inspiring English sources

A first knowledge editing module relies on classification-based reasoning for detecting mismatches and redundancies in the edited knowledge hierarchy.

Our results demonstrate that the transcriptional output of the IAB7b cis-regulatory module relies on a complex set of combinatorial inputs mediated by specific transcription factor binding and that the sequence architecture at this enhancer is critical to maintain robust regulatory function.

To apply the Granger Test, the module relies on Algorithm 1.

Finally, the vulnerability module relies on having adequate fragility and vulnerability functions.

For each class of each extracted model, the module relies on the Moose platform to compute eleven source code metrics including six CK metrics (proposed by Chidamber and Kemerer 1994) and five others, such as lines of code, FAN-IN, FAN-OUT, etc. Table 1 shows the source code metrics considered by the tool.

The module relies on the set of regular expression-based rules that define sentence breaks.

Disease-specific HRQL instruments, such as the Pediatric Quality of Life Inventory (PedsQL™) Neuromuscular module rely on self- (or parent-proxy) report to measure areas of HRQL specifically affected by a given disease or condition, but only allow comparison within the disease group.

Our approach for detecting consensus modules relies on a consensus dissimilarity measure (Methods, Eq. 22) that compares topological overlap matrices of different data sets.

Invariably these modules rely on and interact with each other.

The input output and non-autonomous bifurcation analysis of this class of modules rely on studying their symbolic dynamics.

The current vendor modules rely on Java libraries whenever available.