Sentence examples for previously widely used from inspiring English sources

Within just two years, farmers were able to abandon the chemical fungicides previously widely used to fight the disease.

The literature suggests that previously, widely used, aggressive approaches including the use of ipecac syrup, gastric lavage, and cathartics are now rarely recommended.

Right from the beginning of the hour+ presentation, Google execs were referring to the Nexus One as the first "superphone," a term not previously widely used (of note – GigaOm has a reference to the term last summer).

In order to evaluate the information added by our proposed features as compared to the previously widely used Adamic-Adar and overlap metrics, we compare our prediction results thus far with a simplified model using the Adamic-Adar and overlap features alone, while using the same predictive framework, and compare the change in average AUC scores between cities.

Alcohol had been previously widely used as a treatment in medicine, but Kane believed that this was neither necessary nor desirable.

Because it was previously widely used and Quélet had provided a good description and illustration (which, the proposer argued, was better considered as a new species rather than a mere placement of Bulliard's name in another genus), a proposal was made in 1999 to conserve Entoloma lividum and thus restore its use.

The drug Premarin is a mixture of estrogens extracted from the urine of pregnant mares (pregnant mares' urine), and was previously a widely used drug for hormone replacement therapy.

The sheep BDNF neutralization antiserum used here was well characterized previously [36], widely used in vivo to examine physiological functions of BDNF [36], [37], [38], [39], [40] and was demonstrated only recognizing mature BDNF but not other neurotrophins [36].

These types of cells have previously been widely used in the field of mucin-related research.

Our findings are all based on self-reported exposure and outcome data, and hence relatively open to error and bias; however, where possible we used measures that have previously been widely used and validated [ 10, 13, 27].

This type of approach has previously been widely used to automatically prioritize disease-associated mutations [ 18, 19, 21, 37, 38] and it has been demonstrated to outperform other approaches such as Bayesian classifiers and neural networks [ 19].