By contrast, multivariate pattern analysis (MVPA) directly captures small biases in spatial activity patterns produced by feature selective neural populations23,24 and is thus particularly suitable for the identification of brain regions that carry duration information.
However, the identification results of micro and small channels were better than that of regular pipe, which shows that this method is more suitable for the identification of micro and small channel flow.
Furthermore, the interfetal variability in habituation of healthy postterm fetuses is such that testing of habituation appears not to be suitable for the identification of the fetus at risk for an adverse neonatal outcome.
The results demonstrate that both endpoint PCR and realtime PCR are suitable for the identification of body fluids in forensic stains and represent an effective alternative to conventional enzymatic and immunologic tests.
The good correlation of free dissolved PAHs, PCBs and HCB concentration estimates obtained using SR and LDPE confirmed that both samplers are suitable for the identification of concentration gradients and trends in the water column.
Toward the goal of discovering small-molecule ligands that can prevent either the assembly of an active RecA-DNA filament or its subsequent ATP-dependent motor activities, we report the design and initial validation of a pair of rapid and robust screening assays suitable for the identification of inhibitors of RecA activities.
While these identification techniques have been very suitable for the identification of such mechanical, aeronautical or civil structures, covariance expressions of the estimates of the system matrices are difficult to obtain and theoretical results from literature are hard to implement for output-only systems with unknown noise properties in practice.
Previous work [J. Deng et al., 2005. The dynamic neural network of a hybrid structure for nonlinear system identification. In: 16th IFAC World Congress, Prague.] presents a new dynamic neural network structure which is suitable for the identification of highly nonlinear systems, which needs the outputs from the real system for training and operation.
These characteristics are suitable for the identification of this group and no confirmatory tests are required (Edberg et al. 1990).
Raman analysis is particularly suitable for the identification of pigments in complex matrixes and inorganic pigments in artworks [14]-[17] [14]-[17]
