There are also location and interest-discovery examples like hotels near a landmark, ski resorts friends have been to, places you've visited, apps and videos your friends Like, hobbies of people with prestigious professions, and what people with similar interests to you Like.
26– 28 Based on three drug-discovery examples, this tutorial demonstrates the usefulness of addressing uncertainty in scaling and presents a way of communicating scaling based on industrial experience and anchored in the science communication research.
Such discoveries are examples of years of basic research; they will translate into the kinds of protection we can deliver.
This "truth" however, comes in the form of correlations: the discovery, for example, that influenza outbreaks go hand in hand with certain kinds of Google searches.
U.S. Discovery, for example, lost 41.2 percent in 2008, versus a loss of 37.3 percent for its benchmark, the Russell 2500 stock index, according to Bloomberg.
Such names are often chosen to honour a person involved in some way with its discovery, for example the biologist who first found it or a benefactor who funded their work.
String theory is not an unshakable edifice erected 40 years ago; it is an idea that is constantly undergoing modifications and improvements in the light of new discovery, for example the incorporation of membranes and M-theory in 1995.
A 2005 article in the journal Nature Reviews Drugs Discovery, for example, predicted that revenue for female sexual dysfunction treatments in the United States could exceed $4 billion annually "with only 15 percent of patients captured on therapy".
Moreover, information that plays an important role in knowledge discovery, for example, times and authors, is hardly reflected in topic modeling for comprehensive analysis.
The history of tensegrity structures research is presented including references to the most important discoveries and examples of the author's contributions.
In addition, chemical ontologies may enable new ways of knowledge discovery for example by extracting relationships between compound classes and related data from other domains, which are traditionally known as structure-activity relationships (SAR) or structure property relationships (SPR).
