The simulations for the year 2010 are consistent with the existing climate data (mean bias on temperatures less than or equal to 1 °C) and annual energy consumptions for building space heating estimated via a building typology energy assessment approach (discrepancies of 20%).
Using an isothermal approach, a discrepancy is found between the experimental and simulated results.
One way to approach this discrepancy is to see it as due to the fact that in the typical Connectionist set up, the weights between nodes are initially set to random values, and are (very) slowly reset on the basis of small adjustments.
However, there was a lack of consensus among health professionals on what a health promotion approach was, causing discrepancy in approaches and practices of health communication.
Despite the apparent adoption of a new approach however, discrepancies between its rhetoric and its actual practices have become evident.
Since multiplex analysis is a relatively new methodology and a number of studies have validated the accuracy of the approach, some discrepancies have also been observed between multiplex assays and ELISA [ 26- 30].
Detection of C. pneumoniae in atheromatous plaques was shown by PCR, transmission electron microscopy (TEM), in situ hybridization (ISH) and Immunohistochemistry (IHC) [ 15], however, the detection of C. pneumoniae in circulating blood by nucleic acid amplification tests is technically more feasible approach since discrepancies have been reported for detection in vessel walls of specimen [ 16].
There are several valid explanatory approaches for the discrepancy specified above.
Results of the study indicate that for insulation with large heat capacitance, the time delay estimation in the SP approach yields significant discrepancy compared against exact solution.
In the case of experimental data, for each mouse, we applied a discrepancy approach: we chose as optimal value of the regularization parameter the value for which the discrepancy between the experimental data and the data predicted by the regularized solution coincided with the uncertainty on the measurement [20].
