Sentence examples for example when studying from inspiring English sources
As one example, when studying the very long-lived and cancer resistant naked mole rat, she made the serendipitous discovery that when cells from naked mole rats are grown in culture, the culture medium becomes viscous.
This may have advantages, for example when studying a sample of individuals with antisocial behavior that is likely to manipulate responses in a certain direction.
For example, when studying insects in Brazil and wolves in Ethiopia, I had been involved in discussions with civil servants and other government representatives, both in the United Kingdom and in host countries, where my work could be carried out only after detailed discussion with government experts and once my colleagues and I had the appropriate licences and permits.
Aristotle, for example, when studying Plato's account of Pleasure, did not "stare hard" at an entity or Essence designated by this abstract noun: "Instead he rightly considered what we are asserting or denying in concreto when we say that someone did or did not enjoy the concert; or that someone enjoys this piece of music more than that piece" (1962b, 185).
For example, when studying changes between growth and starvation, optical density measurements may not be sufficient to discriminate between these two growth phases since it is possible to observe an increase in OD, due to dispersal, even though the substrate has already been completely consumed.
Such information combined can be useful for example when studying imprinting, allele- specific expression or RNA editing.
Now, it may be not so obvious where you are supposed to get examples when studying programming, but there are plenty of sources online, such as ABC Assignment Help and numerous other websites where you can get high-quality code samples.
For example, when study area was added to models using our primary estimation approach (nearest monitor), there was no longer an association of some of the PM2.5 components, especially OC, with CIMT.
Their value is emphasised, however, in a widely cited example when studies of streptokinase in acute coronary heart disease were conducted long after a critical mass of evidence had been obtained from meta-analysis showing benefit for patients [ 68].
For example, when studies with most extreme negative effect estimates fail to enter a meta-analysis, a test based on the R estimator from the trim and fill method provides a powerful tool to detect this bias.
For example, when studies report an upregulation of interleukin-6 in the serum of breast cancer patients compaed with control individuals, it is difficult to know whether this protein is released directly from the tumor or whether interleukin-6 upregulation is a systemic reaction to the tumor and released by nontumor tissues [ 11].
