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Only gradient-based methods showed more outliers for Patlak-based tumor delineation.
The methods based on knowledge data detected above all similarity within the pharmacological class, whereas 2D and 3D molecular structure methods showed more flexibility to detect interclass similarity.
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However, when high capacity is required, hybridization-based methods show more potential than sequencing methods, and here the PathogenMip Assay has the advantage of providing more discrimination through its targeted probes than would a standard hybridization to highly conserved regions.
Overall, both methods show more robustness at low and moderate expression levels when compared to existing parametric static methods indicating that our methods achieve relative improvements in test of identification of temporal genes and AR(1) model shows more sensitive TDE calls than SETI resampling procedure in two real data applications.
Regarding the specificity, the method showed more reliable results.
By applying modifications to the algorithm (i.e. GradWT2), the method showed more accurate tumour sizes (R2: 0.62).
The motion activity method showed more skipping of the disparity estimation process and fewer false alarms than method used by SKIP mode.
For a general range of magnitudes, however, the (tau_{text{p}}^{ hbox{max} } -based method showed more acceptable precision than did the other two parameters.
The preliminary study on fluoride removal capacity of SD by batch method showed more than 0.91 mg F removed/g of SD.
Furthermore, the robustness of the controller was investigated by inserting a perturbation uncertainty in all parameters simultaneously to obtain the worst case model mismatch, and the proposed method showed more robustness against process parameter uncertainty than the other methods.
Taking into account the relationship of ID/IG with the extent of π-conjugation and the concentration of defects on GO, the nrGO-PEG obtained by this green reduction method showed more integrated π-conjugation network, which is favorable for loading much more aromatic molecules via π-π stacking.
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