On the other hand, we have shown that a model based solely on nearest-neighbour interactions, although instructive, is too simple to predict binding energies accurately.
Although instructive, these models lack the gene dosage, mutation variability and genetic background that characterize patients with the disease and that presumably underlie the variable clinical outcome.
Although instructive, such information may not necessarily apply to the capabilities of human EScells, further complicated by the current complexities of ethical issues.
Although previous instructive tobacco cessation initiatives in our context have shown that teaching increases professionals' knowledge of psychological skills and pharmacological resources, no changes have been observed in professionals' attitude in providing help to quit [ 24].
Explain that the purpose of the visual diagram is instructive, although the design may be creative.
"Ermine" has been likened by the novelist John Banville to both "The Tin Drum" and "One Hundred Years of Solitude," although a more instructive comparison might be to the European novels of Vladimir Nabokov.
What happens to that poor editor in "Best New Horror" is instructive: although he thinks that childish credulity has been burned out of him by those thousands of read and half-read stories, he discovers, to his sorrow (and sneaking pleasure), that it's still there, lurking in the shadows, waiting for a chance to sucker him one last time.
Although there are instructive comparisons to be made concerning logical, theological, and nomological determinism, these are outside the scope of this article.
Although it is instructive that many complex organisms can survive freezing and thawing in nature, none of them are mammals, many of them can't survive in the frozen state for years on end, most of them are smaller than mature human organs, and most of them can't survive if frozen in the summer.
Although it is instructive to derive estimates of genetic and environmental effects using correlations between relatives, in practice, structural equation modeling is preferred to make a simultaneous decomposition of the covariance matrix using widely available software implementing maximum likelihood [26], [27], [28] or Bayesian [29], [30] approaches.
Like any extrapolation, these projections are assumption-laden and are necessarily approximate, although they are instructive.
