This means that particle acceleration sites must be connected to observation sites via magnetic field lines, which may limit the applicability of the method to well-connected events.
Terakawa et al. (2013b) applied the FMT method to well-constrained focal mechanism solutions for microseismic swarm activity on the flanks of Mt. Ontake based on the 3-D tectonic stress field over the whole of Japan (longitude: 125° 150°, latitude: 25° 50°, depth: 0 100 km).
By applying the method to well-studied classes of genes followed by comparison to the depth of annotation in the Gene Ontology (GO) system [8], we confirmed the accurate prediction of the level of functional characterization by the GCI.
We compared our MIFS method to well-known feature selection methods MRMR (Ding and Peng, 2005) (filter) and SVM-RFE (Guyon et al., 2002) (wrapper) on twelve datasets.
However, the requirement for extensive knowledge of these interfaces has generally curtailed this type of method to well-studied and ubiquitous domains, such as the SH3, SH2 and PDZ domains (Encinar et al., 2009; Stein and Aloy, 2010).
We have then applied ecological models and BMA method to well-known examples of data set in capture-recapture, as an outbreak of the hepatitis A virus in a college in northern Taiwan [ 29], a data set on diabetes in a community in Italy based on four records [ 30] and finally to five lists of infants born with a specific congenital anomaly in Massachusetts [ 31, 32].
This fact makes it difficult for the existing methods to well capture the important k-mers and their important positions.
This study proposes a method to optimize well path design in the fractured granitoid basement rock.
We apply this method to a well drilled in the Barnett shale in the Fort Worth Basin, Texas.
We also compare this method to the well known deformation method [G. Liao, D. Anderson, Appl. Anal. 44 (1992) 285].
