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This chapter is designed to discuss the correlation between physical measurements and sensory assessments of texture and viscosity.
We discuss the correlation between the thermal device impedance and the RF output power, measured at 2 GHz.
In this section we discuss the correlation between the slip-deficient area and the rupture area of the known M9-class earthquakes.
Therefore, we will discuss the correlation between PCD and the neurotoxicity of metallic NPs, with the purpose of comprehensively understanding the neurotoxic mechanisms of NPs.
In this paper we summarize our understanding of the BTI mechanism in scaled CMOS technologies and discuss the correlation between discrete device degradation and circuit/SRAM aging.
7.4, we discuss the correlation between the difference in the assortativity index values (calculated based on node degree) for the MAM and MDM vis-a-vis the spectral radius ratio for node degree in a scale-free network.
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To discuss the correlations between spread-Fs and solar and geomagnetic activities, we show the monthly mean 10.7 cm radio flux (F10.7) and ap index during the 23rd solar cycle in Fig. 1 that covers the epochs of the LSA and HSA.
Based on results, we have discussed the correlation between the vibrational modes and the structure of the PMLA.
While discussing the correlation between the magnetic and transport properties, ideas such as double-exchange (DE) mechanism and the Jahn Teller (JT) formation have been proposed.
The connection between plating conditions and elements of the structure (phase composition, texture and its perfection, grain size) is considered first and then is discussed the correlation between structure parameters and magnetic properties.
Many workers have discussed the correlation between porosity and permeability measurements, and despite somewhat imperfect correlations, they succeeded in establishing either exponential relationships (e.g. Tiab and Donaldson 2004) or trends defined by power functions (e.g. Doyen 1988; Mavko and Nur 1997).
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