Sentence examples for assisting to predict from inspiring English sources

It describes the patterns of adoption and the mechanisms for diffusion, as well as assisting to predict whether and how a new invention will be successful [35].

These would assist to predict the level of energy performance in the early design phase.

Whether the here identified genes could assist clinicians to predict the inflammatory status of individuals at risk or aid in development of novel strategies to revert the systems imbalance by developing targeted therapies remains to be elucidated in prospective studies.

Meanwhile, the captured knowledge through DSM could assist designers to predict changes on existing solutions, and to reuse the existing solutions in new projects.

Understanding the powerful evolutionary forces unleashed by biological invasions can assist managers to predict and mitigate undesirable impacts of the invasion process.

Such information will assist clinicians to predict more accurately the severity of women's post-trauma symptoms and provide interventions that are tailored for their specific needs.

Framed within this statement, this paper introduces and evaluates a mechanism which is based on the well-known unsupervised learning technique, called Self-Organizing Maps (SOMs), and is used for assisting a CRS to predict the raw data rate that can be obtained, when it senses specific input data from its environment.

Pedigree methods and estimates of identity-by-descent have long assisted breeding programs to predict genetic merit before trait evaluation (Crossa et al. 2010).

Future studies may help to examine how information about birth weight category and gestational age considered with birth weight can assist health professionals to predict and to treat impairments down the road for children.

This will provide information on how societal changes are affecting their health and wellbeing, assist policy makers to predict demand for health services, and inform the development of appropriate and cost-effective health and social services.

The purposes of the present study were (i) to characterize the linear or non-linear relationships between several clinical and biological variables and the response to epoetin beta and (ii) to build a computer assisted mathematical tool able to predict the epoetin requirement in an individual patient and the monthly adjustments in the epoetin dose.