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Exact(17)
Therefore, the first-order removal model is inadequate to predict metal retention on a seasonal basis.
Only a few formulae have been proposed for discomfort glare of daylight origin, and they are inadequate to predict glare sensation in real daylight situations.
Consequently, the corresponding models are often inadequate to predict deformations and cracking of elements with non-conventional distribution of the bars.
Although investigators report that cerebellar PA with anaplastic features is more often solid than cystic from a neuroimaging standpoint, CT and MRI findings are inadequate to predict these histologic features.
As these model parameters were inadequate to predict the residual α-amylase activity of BAA under dynamic conditions correctly, parameters were determined under dynamic conditions and subsequently successfully validated on an independent dynamic data set.
This is because it either (i) does not account for the material non-linearity due to the elevated temperature (low-to-moderate slenderness range) or (ii) is already inadequate to predict room temperature failure moments (unsafe estimates obtained in the high slenderness range).
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For these reasons, small oligomers, for example trinucleotides, are inadequate models to predict the reliability of the different methods or whether epigenetic modifications affect the structure of DNA.
However, some coatings retain the ability to form a continuous α-alumina scale when the concentration of Al in coatings decreases to a critical level, therefore, the empirical Al-concentration based criterion is inadequate to properly predict the formation of a continuous α-alumina.
As a result, current surveillance in BE patients is inadequate to accurately predict who will progress to EAC.
Current prostate cancer prognostic models are based on pre-treatment prostate specific antigen (PSA) levels, biopsy Gleason score, and clinical staging but in practice are inadequate to accurately predict disease progression.
Buffy Paradigm: "What expertise there is consists largely of bad or uncertain advice and old, flawed and confusing technical data.... Arcane knowledge is always inadequate and fails to predict, detect and properly characterize the threat".
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com