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Patients who underwent skull base procedures have been noted to experience appreciable pain.
One of the most devastating complications of anterior skull base procedures is tension pneumocephalus (TP).
This study has implications for surgical planning before sinus or skull base procedures.
As more advanced endoscopic skull base procedures are developed, it is important to assess the clinical outcomes of such surgeries.
This important characteristic, along with the wide selection of angled blades, is also useful in removing tissues and controlling bleeding during complex skull base procedures, given that currently available bipolar systems are limited by ergonomics and the varying geometry of the skull base.
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We have suggested boosting with componentwise linear regression as a base procedure for choosing summary statistics in ABC.
The behavior of the weak learner is described by the base procedure g ^, a real valued function.
Fit the negative gradient vector (U1, … , U n) to (X1, … , X n) by the base procedure: (X i, U i ) i = 1 n → g ^ [ m ].
This base procedure selects the best variable in a simple linear model in the sense of ordinary least-squares fitting (Bühlmann and Hothorn 2007).
Syamal K. Sen and Ravi P. Agarwal suggested four Matlab based procedures, viz, (i) Exhaustive search, (ii) Principal convergents of continued fraction based procedure, (iii) Best rounding procedure for decimal (rational) approximation, and (iv) Continued fraction based algorithm with intermediate convergents.
The aim was also to compare the laser method with the traditional solvent based procedures.
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