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Optimization of measurement parameters such as the amount of MnO2, applied potential and pH value were studied in detail.
We investigate the influence of AFM cantilever and tip properties as well as measurement parameters such as cantilever oscillation amplitude, on the CM and TM AFM characterization of such specimens.
The objective of this first part of work is to present and understand that measurement parameters, such as measurement positions, and can be carefully chosen to improve the measurement technique.
Contributions of the tissue parameters, probe thermistor bead parameters, and measurement parameters, such as tissue thermal conductivity, tissue thermal diffusivity, blood perfusion rate, bead thermal conductivity, bead radius, measurement time, and thermal pulse length are discussed.
Practical investigation of the repeatability of sound intensity measurements and the influence of some measurement parameters, such as the distance from the source, scanning pattern and speed, configuration of points and point density, on sound power determination has been presented.
The uncertainty of energy and exergy efficiency of the plant was evaluated with this method by applying sensitivity analysis depending on the effect of measurement parameters such as LHV, coal mass flow rate, cell generator output voltage/current.
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The characterizations of these diaphragms were based on the measurement on parameters such as diaphragm displacement as function of voltage applied and stress distribution.
Although photostimulation maps of synaptic inputs can be constructed by simply averaging postsynaptic current amplitudes within a response window [2], [3], [4], [5], a more comprehensive understanding of synaptic connectivity requires detection of individual synaptic events and measurement of parameters such as event occurrence times, amplitudes and frequencies [6], [7].
Shrinkage has significant implications for the measurement of parameters such as the density of structures; for example, synaptic contacts.
The second pipeline is used for plaque identification and measurement of parameters such as total cell and plaque count, plaque area, fluorescence intensity and morphology.
Specific rice image-based solutions have been developed for phenotyping and involve the measurement of parameters such as grain size (length, width, and thickness), panicle length, and the number of tillers [ 10, 11].
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