Primary human monocytes are relatively refractory to single round infection or full replication of HIV-1 [3], [3], albeit efficient infection of monocytes, DCs or macrophages can be achieved by using high amounts of input virus [23], [32], [33].
Traditional approaches, such as HPLC and MS, while useful, have difficult sample preparation and require high amounts of input DNA (micrograms) [ 24] thus severely limiting its adoption in routine diagnostics.
Since computational site-directed mutagenesis combined with subsequent modeling of mutant properties is accompanied by the processing of high amounts of input and output data for computational programs, development of user-friendly graphical software, which would automate these operations, is highly desirable.
The physics of high mean DstMP therefore seems high amount of energy input into the magnetosphere ionosphere system in short duration probably through continuous and rapid magnetic reconnection (e.g., Borovsky et al. 2008), so that the system responds impulsively.
Thus the purpose of this section is to see if stand alone ANN's are good enough in reproducing the numerical output without going through the rigorous numerical procedures in real time and without providing high amount of exogenous input.
High value of mean Dst during the main phase of geomagnetic storms (DstMP ≤−250 nT), which represents high amount of energy input in the magnetosphere ionosphere system in short duration, corresponds to the severe space weather events that caused all known electric power outages and telegraph system damages.
All five extreme storms having high mean DstMP (≤ −250 nT), which corresponds to high amount of energy input in the magnetosphere-ionosphere system in short duration, are found associated with severe space weather that caused all known electric power outages and telegraph system failures.
All storms having high mean DstMP (≤−250 nT), which corresponds to high amount of energy input in the magnetosphere ionosphere system in short duration, are found associated with severe space weather events that caused all known electric power outages and telegraph system failures.
This is likely due to the strong within-layer inhibitory feedback in L6 and the high amount of random external inputs to L6e.
The training set used to grow the Random Forest had a high amount of variability in its input (Figure 3), forcing the Forest to identify a corresponding sample from a wide variety of input data.
