More recently, next generation sequencing (NGS) approaches have greatly enhanced the power of IS analysis, allowing to recognize clonal expansions caused by in vivo selection of gain-of-function insertional mutants even before they progress to overt malignancy.
We developed automatic gain control (AGC) system which performs automatic selection of appropriate gains for the electric and magnetic field measurements by monitoring peak values of instantaneous electric and magnetic field waveforms.
The critical control gains for transient and long-term stabilities are presented to guide the selection of control gains.
The model quantifies the patients' postural disturbance as smaller than normal ankle feedback gain, larger than normal hip feedback gains, and an inflexible selection of feedback gain as the perturbation conditions change.
In this paper, control algorithms are formulated for the selection of feedback gains and controller placement for flexible structures.
Furthermore, we give theoretical analysis of the system stability and give guidelines for selection of feedback gains for the TCP/RED system to stabilize the average queue length at a desirable level.
It was found that risky decision-making was associated with the selection of big gains albeit with maximal losses (the disadvantageous decks).
The results of this analysis seem to indicate that positive selection for gain-of-function in tumor suppressor genes is an important aspect of tumorigenesis, blurring the distinction between tumor suppressors and oncogenes.
The ten most frequently amplified kinases were gained at least six times more frequently than lost, likely indicating a selection for gains of these genes.
The selection of channel gain threshold and erasure correction code parameters are jointly optimized for best multicast throughput.
