Sentence examples for makers to predict from inspiring English sources

Such a model will enable the decision makers to predict the expected load on the system as result of events based on their complexity.

The results from the models can help policy makers to predict the impact of policies on overall emissions in the freight transportation sector.

The wealth of knowledge which has gone into the development of simulation models such as SOCRATES, RothC [18], CENTURY [19] and Introductory Carbon Balance Model (ICBM) [20], and the fact that they do not require detailed analyses to perform accurate simulations, provides a promising avenue for policy makers to predict the impacts of climate change on the cycling of SOC in terrestrial ecosystems.

LULC change scenarios that do not assume a REDD policy, like those presented here, could be used by policy makers to predict business-as-usual country-level deforestation and associated emissions rates.

Recently, modern tools to help decision makers to predict malaria epidemics were proposed.

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 ability of surrogate decision-makers to predict the patient's wishes may be just as limited as the doctor's ability to predict prognosis [ 62].

By providing information on how to target specific groups, and what would be the differential effects of policies for different subpopulations, DCEs are better suited than traditional forecasting tools used by policy-makers to predict health personnel needs in various geographical or professional areas.

Monitoring of CK+ cells in BM before and after high-dose chemotherapy with or without stem cell support can be used clinically as a surrogate maker to predict outcome in breast cancer patients.

In the recent years, the research of surrogate makers able to predict the bacteriologic and clinical issue of an infection treatment has been a major tool in the pharmacology of antibiotics.

Models of infectious disease spread are of use to policy makers aiming to predict the likely impact of interventions to reduce disease transmission targeted at specific age groups or social settings.