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Receptivity is difficult to quantity and here we have used a space-time MBG framework to provide predictions of risk every five years from 1969 to 1989 and assumed the maximum prediction per 5 × 5 km grid to represent the maximal extent of predicted risk.
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To overcome the difficulty of a lack of accurate data on the convective heat transfer coefficient at high temperatures, a "semi-inverse method" was developed, which explores a new method for estimating a physical quantity that is difficult to measure using physical quantities, which are relatively easy to measure.
But this quantity is difficult to measure due to its very small value where the solar equator-to-pole radius difference is less than 10 milli-arcsecond (mas).
Yet, this quantity is difficult to measure accurately, and depends on the details of both surface and interior structure.
This quantity is intrinsically difficult to measure, and to our knowledge it has not been estimated before.
Despite some technical difficulties ResearchGate comments don't allow superscripts or subscripts, which can make it difficult to indicate quantities or write chemical formulas the ability of other scientists to ask questions and make comments is making this a really interesting experiment.
But for independent observers it is frequently rather difficult to reproduce quantities of cell densities roughly estimated by others [13], [14].
The high variability makes it difficult to estimate quantities with any reasonable level of precision directly from accretion data.
This difficult-to-measure quantity, which depends on turbulence inside the star, is not known for individual stars, not even for the Sun.
Important classes of macromolecules, such as membrane proteins (including many receptors) and macromolecular complexes, are difficult to obtain in quantity and to crystallise, which has hampered analysis by MX.
"At that size, it becomes very difficult to introduce the quantity of donor DNA needed for editing.
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