In this paper data reconciliation is applied to the steady-state operational data of a single-effect ammonia/water absorption chiller.
The main reason that repeal will not be so easy is that the "reconciliation" process applies only to budgetary items with financial impact, and there is much more in the law than just budgetary items.
In 1980, the reconciliation method was applied to adjust material balancing of mineral processed data [2].
So, the standard error reconciliation cannot be applied either.
The reconciliation method is applied in the case of a reversible heat pump/organic Rankine cycle (HP/ORC) unit.
However, accuracy of relevant measurement data is usually unsatisfactory due to limits of measuring instruments, and data reconciliation can be applied to improve the accuracy of these measurements.
Although data reconciliation is intensely applied in process engineering, almost none of its powerful methods are employed for validation of operational data from wastewater treatment plants.
Finally, the reconciliation method can be applied and validated through the weights and confidence level (3).
For the gene trees from the 50-taxon simulated datasets, inferred using RAxML, AnGST, and TreeFix-DTL, we applied DTL-reconciliation using RANGER-DTL (Bansal et al., 2012) with default parameters.
For instance, when we applied DTL-reconciliation to the true gene trees from the very High-DTL datasets, we observed sensitivity and precision of 95.3 and 94.1% for duplications, 81.3 and 85.1% for transfers and 76.0 and 70.5% for losses.
As has been noted many times before, the practice of "informal reconciliation" instead of applying the penal code on what is fundamentally a criminal act, has only made matters worse by sending the wrong signal.
