Sentence examples for to fitness data from inspiring English sources

Exact(3)

But for a target user who needs motivation to be more active, having a simplified approach to fitness data capture and visualisation may be just the ticket to get them off the sofa.

IFIM is the first resource that allows easy access to fitness data of microbial genes.

Finally, the morphometric data were related to fitness data (fruit set and seed viability) to assess selection through female function on floral traits in the hybrid population.

Similar(57)

We now proceed to extend this model to accommodate fitness data.

Apple's Health app provides a central place to find fitness data tracked by a variety of sources, including your phone itself, which logs activity recorded by the motion coprocessor, including the M7 from the 5s and the M8 from the new iPhone 6 and 6 Plus.

For example in S. cerevisiae exposure to fatty acids dramatically induces the expression of genes encoding many peroxisomal proteins while concomitantly inducing the biogenesis and/or maturation of organelles; however, when compared to a fitness data set measuring growth of individual deletion strains on fatty acid-containing media, there is remarkably little overlap between the data sets [10].

We should expect Apple HealthKit, Google Fit, and similar efforts by Jawbone and Fitbit to drive innovative applications to combine personal fitness data with expertise in exercise, nutrition, and even sleep and relaxation to efficiently move participants towards better health.

This is particularly pronounced when it comes to health and fitness data, where we strap on our fitness trackers and expect the pounds to melt away with each step passively logged.

Increasingly, technology is making it easier for us to collect personal health and fitness data to help us combat our own vices such as drugs, alcohol, bad food and sitting around.

He also notes that the app uses Apple's HealthKit to get the fitness data on the Watch.

Therefore, we used Geptop, which can effectively predict essential genes under various nutritional conditions, as an alternative to genome-wide fitness data.

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