Sentence examples for scientists expectations from inspiring English sources
Stem-cell and cloning research may not live up to scientists' expectations.
A deadly 2016 glacier collapse in Tibet surpassed scientists' expectations — until it happened again.
This rapid rate of record-breaking heat (once every three years) is consistent with climate scientists' expectations.
In some ways, I suspect that the government dealt with scientists' expectations quite cleverly in the weeks leading up to the last comprehensive spending review (CSR), when the research budget was to be laid out for the coming years.
While studies haven't yet connected this extreme wetness to climate change (there are still several months remaining in California's rainy season), what we're seeing is consistent with climate scientists' expectations of a hotter world.
The New Zealand birds had almost twice as many dialects as their British relatives, overturning the scientists' expectations that the range of dialects would be greater in the mother country.
The mismatch between scientists' career expectations and the realities of the job market has led to extended occupancy of postdoc positions and highly inflated expectations from academic employers for prior productivity.
Scientists' earlier expectations that the porpoises would switch easily to other food sources if sand eel numbers fell had proved unfounded, he said.
For example, extreme, abrupt and dangerous climate-change scenarios based on loss of carbon sinks and melting permafrost may not accord with the climate scientists' central expectations, but their possibility must be recognised when considering the appropriate vigour of policy responses.
An advance in human-cloning research reported in May 2005 by a team led by Hwang Woo Suk, a South Korean scientist, raised expectations that stem cells derived from embryos cloned from the skin cells of individuals with a disease or injury could be readily obtained for therapeutic use.
This article proposes a way for those that aren't getting the most out of their operations to free data scientists from unreasonable expectations and introduce new types of workers to the mix.
