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However, these methods present some disadvantages such as high cost, low removal efficiency and production of excessive toxic sludge [17].
Biomass thermochemical conversion methods present some significant advantages such as zero net emissions and the use of agricultural by-products.
These methods present some limitations in the detection of corners of obtuse angles, since in the local environment of those points significant intensity changes are only perceived in one direction [42].
Despite a definitive improvement in estimating divergence dates in the case of rate heterogeneity, these methods present some practical limitations pertaining to the arbitrary set up of local clocks and the use of a single calibration point [ 46, 49].
In the case of DNA microarray reading, time-correlated single-photon counting (TCSPC) based methods present some critical advantages over other techniques that include single-photon sensitivity combined with unlimited dynamic range and high temporal resolution.
Optetrode methods present some challenges, particularly in the ARC: the optetrode (∼300 μm in diameter, with 4 8 70 μm diameter tetrodes extending into the ARC) must penetrate approximately 5.5 mm into the brain to gain access to the relatively small ARC nucleus, likely resulting in lower yield.
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In the comparison, the unsupervised methods presented some issues, such as poor edge and non-edge grouping, over-segmentation (high false positive rate) and discontinuous edge segments.
Therefore, the solution of these problems using traditional numerical methods presents some difficulties since the computational mesh needs to be modified for each iteration.
Each of these methods presents some advantages and drawbacks.
Comparison between the Prowollik and MKD methods presented some differences between the algorithm results.
In the following sections we introduce the belief network method, present some examples and discuss the construction of the final network from the data in the WMRCTR.
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