Sentence examples for that can uncover from inspiring English sources
The complex tests, nuclear magnetic resonance spectroscopy and capillary electrophoresis, are the only ones that can uncover whether the drug contains a possibly counterfeit ingredient.
True, money can "buy" an educated person, but if there is a free press that can uncover corruption and the rule of law to provide a framework for punishing those found to be corrupt, people may be less inclined to allow themselves to be compromised.
"I was trying to make something out of the worst, dirtiest kind of data that you could possibly imagine," adds Dr Ellenberg.The arrival of electronic medical records and the advent of Big Data promises massive statistical analyses that can uncover everything from uncommon side-effects to how peoples' genes might affect their future well-being.
If you still want newspapers that can uncover stories, and scandals, like this, or like the one about people trying to buy peerages, or the one about people paying other people to fix match results – stories that don't mean you just ask someone a question and assume that what they're saying is true – then what you need is some very skilled, very determined people, and some very rich men.
It also considers the queries that can uncover cleartext passwords.
These types of errors require serious inspection and analysis to be cleaned: statistical [14], clustering [15], pattern-based [16], and association [17] techniques are used to identify patterns that can uncover the data error or irregularities.
I hope that we can uncover some common threads that run through our many issues and coax simplicity out of complexity in a way that can capture the imagination and support of publics and governments.
She emphasized that WGS can uncover relationships between strains that are not detected by other methods (such as MLST).
It is in this light that we provide here a proof of concept that metabolomics can uncover key metabolites differing in a control and a type 2 diabetic group.
However, advances in micro/nanofabrication have resulted in more realistic synthetic models of membrane-cytoskeleton interactions that can help uncover the design rules responsible for biological membrane formation and organization.
In spite of various approaches developed from this motivation, it still remains as a challenging subject to develop a new reverse engineering scheme that can effectively uncover the functional interaction structure of a biomolecular network from given time-series expression profiles (TSEPs).
