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Matrix multiplication techniques exhibit errors of the same order of magnitude.
Recently, room temperature electron and hole impact ionization coefficients, α and β in InGaP have been reported using photocurrent multiplication techniques on p i n photodiodes.
It should be mentioned that the computation of transitive closures can be done asymptotically faster by matrix multiplication techniques.
Among these, external modulation based frequency multiplication techniques have become popular due to higher modulation bandwidth, tunability and high stability [2, 3].
However, the market share of mycoinsecticides is very low compared to chemical insecticides, mainly due to lack of suitable mass multiplication techniques (Bhanu Prakash et al. 2008).
Several multiplication techniques have been proposed with different multiplication factors such as doubling [3], tripling [4], quadrupling [5 7], sextupling [8], octupling [9], 12-tupling [10], 16- tupling [11, 12] and so on.
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A novel co-extrusion and two-dimensional multiplication technique was developed for continuous production of nanofibers using melt-processable polymers.
We have experimentally implemented for the first time the wavelength frame multiplication (WFM) multiplexing chopper method, an earlier proposed variant of the by now fully tested repetition rate multiplication technique for inelastic scattering spectroscopy on pulsed neutron sources.
Continuous fibrous composite tapes of polyamide 6 (PA6)/polyethylene oxide (PEO) containing over 16 thousand individual ribbon-like PA6 micro-/nano-fiber domains were produced using a novel co-extrusion and two-dimensional multiplication technique.
Similar to McLaughlin and coworkers [ 10], we believe that either technique could be used, but that in this case greater face validity is provided by the multiplication technique.
Our decision to use the multiplication technique in the final analysis was based upon the positive skew toward the most common, treatable and life-threatening conditions seen by intensivists in our centre and the higher R2 in regression analysis.
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