The MCCS microdevice is fully reusable, i.e. it can be used several times for various cell culture and cytotoxic experiments.
For the ab1D, 2A, 5B and 6A ORNs, the MCCs range from 0.66 to 0.69, still indicating good performance.
The third module, called the MCCs Detection Module, is a real time computer automated MCCs detection system that takes as inputs the ROIs provided by the MCCs Finder Module.
Finally, all the charging power reference values of the ESSs are adjusted based on the synchronization process of the MCCs through the proposed fully DCC.
Forged around the uniquely complex and demanding requirements of human spaceflight, the MCCS has evolved within the limits of the technological capabilities of the time.
Then, all the MCCs converge to the predefined pinning consensus value asymptotically according to the synchronization process defined in (19), as shown in Fig. 4(b).
Accordingly, the optimal objective of (12) will be reached when the MCCs of the ESSs in the ADS converge to a common value (rho_{C}^), as in [27, 28].
Meanwhile, the other three ESSs implement the proposed DCC to eliminate the power mismatch and reach a new consensus for the MCCs as (overset{lower0.5emhbox{$smash{scriptscriptstylefrown}$}}{rho }_{C}^ = 0.1947).
Step 4: By using the pinning-based DCC in the second layer, all the MCCs converge to the predefined pinning consensus value asymptotically according to the synchronization process, as described in (20).
Finally, the fourth module, called the MCCs Classification Module, classifies the detected clustered microcalcifications into five categories according to BI-RADS (Breast Imaging Reporting and Data System) format recommended by the American College of Radiology.
Since only clustered MCCs are of interest in providing a sign of breast cancer, the second module, called the MCCs Finder Module, finds and locates suspicious areas of clustered MCCs, called regions of interest (ROIs).
