As we have evidently exhausted the easier-to-access "conventional" fuels, Big Oil is now resorting to "unconventional" sources, and the industry must rely on more and more extreme extraction measures to obtain fossil fuel resources.
To evaluate the performance of NER applications, the known information extraction measures are used, which are: (i) precision to measure the ability of a system to present only the relevant names; (ii) recall to measure the ability of a system to present all the relevant names; and (iii) F-measure, which is a harmonic mean of precision and recall.
(2) Linear feature extraction methods measure and optimize closeness between samples depending on Euclidean distance.
We developed an easy, reliable, and high-throughput analytical method that uses liquid chromatography electrospray mass spectrometry (LC-MS) coupled with online extraction to measure specific FOCs in human plasma and serum samples.
Enchytraeids were sampled using six-fold cores (diameter 5.8 cm×15 cm, 6 rings of 2.5 cm height each), extracted using wet funnel extraction, identified, measured and counted.
As a participant in the BioCreative-2012 Intrackthee Text Mining track, the performance of eFIP was evaluated on document retrieval (F-measures of 78 100%), sentence-level information extraction (F-measures of 70 80%) and document ranking (normalized discounted cumulative gain measures of 93 100% and mean average precision of 0.86).
The quality for definition extraction is measures in terms of precision, recall and F-measure.
The forces needed for extraction were measured in Newton (N), and the measurements were limited to a maximum of 50 N as this value is far above the range assumed to be physiologically relevant.
DOX recovery (extraction efficiency), measured through mean area from six replicates of extracted samples vs. extracted drug free plasma samples (both spiked before extraction), was determined at each individual levels (LQC, MQC and HQC).
For feature extraction, we measured the texture, contrast, homogeneity, entropy, and energy from front view images.
