Sentence examples for data for better understanding from inspiring English sources

These are body-worn or hand-held devices or technologies that automatically collect data for better understanding of self, others, or the environment (Charara 2017; Lamkin 2015; Lupton 2014; Michaelis et al. 2016; Sawh 2017a; Schüll 2016).

The study by Stevens et al. (2014) provides valuable data for better understanding the circumstances of falls occurring in residential settings and for designing out the risk in the bathroom for older residents.

Further study of mtDNAs of annelids, as well as the other groups that have acquired introns (i.e. sponges, cnidarians and placozoans) may illuminate the extent and patterns of intron gain as well as provide further genome-level data for better understanding the forces shaping mitochondrial genome evolution.

Their completion will provide more data for better understanding the adaptation of nematodes.

In this context, we establish GSs genetics/genomics as a scaffold to incorporate further phenotypic data for better understanding the impact of duplication to rapid evolution of novel key traits.

Next, our work, even though interested in providing evidence for a newly found high incidence of PTEN mutation in PSCCE, is rather preliminary at this stage and a detailed characterization of the molecular mechanisms involved is required further experimental data for better understanding the functional role and significance of PTEN mutation in PSCCE.

These key findings serve as an important step in the nation's endeavor to find new sets of data on childhood vulnerabilities, data essential for better understanding the prevalence and circumstances of violence against children.

Although the meaning of this observation is currently unclear, further analysis using global phase III data may provide additional information for better understanding the fasiglifam drug-induced liver injury.

This study identifies new experimental data required for better understanding of rabbit's electrophysiology and demonstrates the importance of sensitivity analysis as a powerful method for systematic and in-depth validation of AP models.

With current technologic advances such as high throughput sequencing, transcriptomics, epigenetics, and proteomics, there are big amount of amount of data available for better understanding associations and mechanisms of VAEs and immunogenicity.

Recommendations were given to improve the data acquisition system for better understanding of the system performance.