Sentence examples for general shortcoming from inspiring English sources

Exact(5)

In fact, a general shortcoming in the debate about the reduction of classical genetics is that it concerns only a fragment of scientific reasoning.

The fact that reduced inhibitory control was found in behavioral accuracy as well on the N2 component of the ERP provides support for the hypothesis that there is a general shortcoming in response inhibition in smokers relative to non-smokers.

A general shortcoming of previous studies of Stat5 expression in breast cancer has been the lack of analytic distinction of Stat5a from the highly homologous Stat5b.

This lack is not a general shortcoming of marine studies, but reflects the general difficulty to associate the genotype with a phenotype for most but the simplest traits and adaptations (Travisano and Shaw 2013).

A general shortcoming associated with the forestland allocation process in many upland villages was that the area of land shown on the land use certificate did not match the actual area allocated (To 2007).

Similar(55)

Nevertheless, this analysis has some general shortcomings, including difficulties in managing a large number of Strength and Weakness factors.

But because of faulty technology in some cases, and more often through general shortcomings in consumer education and customer-service support by many utilities, smart meters are leaving many customers dumbfounded.

Voter ignorance and irrationality are general shortcomings of modern democracy.

That review found technical problems, such as inadequate evidence for the conclusion that formaldehyde causes leukemia, as well as more general shortcomings in the clarity and transparency of the assessment.

The study on the substance P shows some general shortcomings associated with the evaluation of the test system for very lipophilic substances: the water solubility of P is very low.

While our results thus avoid these criticisms, since Levine et al.'s criticisms were meant to illustrate the general shortcomings of computer modeling, our results also argue against excessive skepticism about computational approaches in epidemiology.

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