Sentence examples for evaluated a full from inspiring English sources

In Canada, where TIV is predominantly used in provincial or territorial public programs, we evaluated a full switch from TIV to QIV in individuals of all age groups, at the current nationwide vaccine uptake level (2014).

The aim of this study is to evaluate a full integrated modelling strategy to evaluate the influence of casting defects on the fatigue life directly from process simulation.

The research evaluates a full factorial design as a means of ascertaining both the qualitative and quantitative effect of a given set of design variations.

We describe the development and interlaboratory study of modified Saccharomyces cerevisiae as a candidate material to evaluate a full detection workflow including DNA extraction and quantitative polymerase chain reaction (qPCR).

More specifically, two survey-based (Richness and Quality of ES), and one GIS-based (Willingness to Travel (WTT)) indices were proposed to evaluate a full range of cultural benefits derived from seven popular tourism sites of Ha Tien Town, Kien Giang, Vietnam.

In the importance step, one can address, say, signal fading or quantization, by evaluating a full likelihood function in which the corresponding occurrence probability has been incorporated.

Evaluating a full array of homeotic changes rather than attending to simple counts of vertebral numbers makes this pattern evident.

The proposed research will evaluate a full Internet-based self-directed intervention for problem gamblers using a single blind, randomized controlled trial comparing participants who are provided access to the SCTs as compared to those who are only provided the CYG personalized feedback screener (the control condition).

Testing facilities and techniques to evaluate a full-scale vessel containing nearly 20 kg of NaAlH4 also are covered.

The purpose of this research was to develop and evaluate a full-scale computational model of the road safety barrier for use in crash simulations and to further compare the computational results with real crash test data.

Building energy models (BEM) of single family homes are evaluated using a full factorial experimental design to create a response surface which provides a continuous function to evaluate the impact of four design variables on long-term thermal comfort indices, including Average Percent of People Dissatisfied (Average PPD), and Percentage Outside Thermal Comfort Zone (POS).