The evaluation of the sensitivity matrix showed that the error that resulted from the effects of the non-linearity associated with the applied loads was less than 0.05%.
The relationship between the effect of errors on mortality, and the preventability of those errors, showed that 44 (66.4%) of the errors that had a moderate effect on death (n = 65, 42.8% of errors), and 25 (75.8%) of the errors that had a major effect (n = 33, 21.7% of errors), were probably or definitely preventable (Fig. 3).
Experiments to explore the effect of link-prediction error that significantly over- or underpredicts network density would also be of interest and would be useful to describe prediction challenges around inactive or infrequently active social connections.
This often results in the inflation of small values, which can have an undesirable side effect as the influence of the measurement error, that is usually relatively large for small values, is increased as well.
Surrey NanoSystems has teamed up with Berlin Space Technology to coat a part of their Kent Ridge 1 satellite's sensors, which Tom Segert, Director of Business Development for Berlin Space Technology, says will, "reduce the effects of many common sources of error that affect the performance of star tracker systems".
While issues have been reported with microarray spot definitions [16] [18], we believe that our meta-analysis approach mitigated the effects of errors that occur on a single platform since the strength of an association was weighted by its consistency across multiple studies and platforms.
In the full instrumental variable approach, a single exogenous variable (called the instrument) is used to stratify the full sample, removing the effect of the correlated error terms that lead to biased estimates [ 24].
Recently, several CAD approaches have been studied to minimize the effects of operator-dependent errors that are inherent in magnetic imaging, and to increase diagnostic sensitivity and specificity [ 23].
Furthermore, the use of soft estimates alleviates the detrimental effect of error propagation that usually occurs when hard decisions are used in a feedback tracking loop or in decision-directed modes.
Additionally, it can be seen that the effect of the error-prone channel becomes more relevant when the external network load increases.
