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We conclude therefore that the One-Direct system can further push the lower limits of material required for probe synthesis for microarray experiments to 50 pg of input when using high quality RNA, without significant impact on resulting information generated.

A lower correlation coefficient (0.924) was observed between the results obtained with different amounts of RNA input when using the Arcturus RiboAmp™ protocol.

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Second, filters could potentially depend on the structure of their input when used sequentially.

1) Under the same input voltages, when using the delta-connected autotransformer, the voltages across ZSBT and IPR are greater than that of using wye-connected autotransformer, respectively.

Under the same input voltages, when using the delta-connected autotransformer, the voltages across ZSBT and IPR are greater than that of using wye-connected autotransformer, respectively.

5) Under the same input voltages, when using delta-connected autotransformer, the voltages across the ZSBT and IPR are greater than that of using wye-connected autotransformer, respectively.

In contrast to fast neural networks, the speed up ratio is increased with the size of the input image when using fast neural networks and image decomposition.

In contrast to faster neural networks, the speed up ratio is increased with the size of the input matrix when using faster neural networks and matrix decomposition.

Another advantage is that the speed up ratio is increased with the size of the input matrix when using ENNs and matrix decomposition.

Although all these approaches have their advantages, reliability of the input function when using new tracers or diseased animal models must be validated by comparison with arterial blood sampling data.

Open image in new window Fig. 7 Input line currents when using the delta-connected autotransformer.

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