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In order to formally describe the template based approach, we use the basic definition of the workflow given in (Eq. 1).
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Using the LS-based approach, we use either a polynomial matrix P or an HSH equivalent, which we denote as S. When we solve Equation 3, we also prudently include some Tikhonov regularization [48] in solving for c.
Instead of a traditional interpolation-based approach, we use a simulation-based approach that yields more robust extent estimates and quantified uncertainty.
The evidence based approach we have used for CONSORT also served as a model for development of other reporting guidelines, such as for reporting systematic reviews and meta-analyses of studies evaluating interventions, 16 diagnostic studies, 17 and observational studies.
We previously proposed an efficient way to determine the value for μ [17], and based on this approach, we use a value of μ = 8.69 for [11C]--PHNO.
In the first (unsupervised w.r.t target dataset) convolution based deep learning approach, we use a stacked convolutional architecture, using external models learned a-priori on external facial and periocular data, on top of the baseline Root SIFT model applied on the provided data, and apply different score fusion models.
The approach we use is based on continuum damage mechanics where the damage gradient quantity is involved.
We have classified them into three categories (direct-effect QTLs, relQTLs, and epiQTLs) based on the approach we used for their discovery.
Based on the iterative approach we used to calculate this mean and standard deviation, we defined a WS outbreak at these GBR locations to occur when disease counts reached or exceeded 50 cases per 1500 m2; i.e., when the number of WS cases was greater than the mean of the annual maxima plus one SD.
CNVRs for all groups were generated based on the similar approach we used before but instead of 16 individual we compared only individuals present in the particular group.
Unlike nest monitoring efforts based on conventional telemetry, the approach we used allowed nests to be monitored (1) remotely without observer influence on incubation and (2) on a daily cycle, so the exact date of nest hatch or failure was known.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com