Sentence examples for systems in understanding from inspiring English sources

The present findings highlight the importance of personal goal systems in understanding the nature of anxiety.

More broadly, our results further indicate the potential utility of large electronic medical record systems in understanding the clinical risks of pharmacotherapy in psychiatry.

It has the potential to become a powerful model system in understanding the central mechanism of the eukaryotic DNA replication.

This was also suggested by large-scale epidemiological studies in populations of patients [8] and β-cell zinc metabolism is emerging as yet another important system in understanding the development of type 2 diabetes.

We are presenting the complementarity between drug resistance genotyping and HCVcc system in understanding the mechanisms of HCV drug resistance.

It is the nervous system that plays a central role in regulating energy and information flow between the brain, body, and environment; it is a core system in understanding the embodied and relational nature of the mind.

Life scientists are acutely aware of the technologies that produce large data sets, but the steady increase in computational power is of equal importance in supporting discoveries at a systems level in understanding the interaction of environmental agents with biological systems, and how those interactions may produce adverse consequences.

Analysing health systems consists in understanding how they are structured and how the six building blocks of the system (ie, governance, human resources, finance, health information, consumables and technology and service delivery) function and inter-relate.

Her techniques have been used to improve computer vision systems and in understanding natural language, and in the future they are expected to lead to an improved generation of Web search.

This map has deep and broad implications for protein expression and function in cellular systems, particularly in understanding complex human diseases (e.g., obesity, arthritis and cardiovascular diseases).

Despite research on various aspects of development originating from model systems, growth in understanding how development is related to phenotypic diversity relies on a growing literature of contrasting studies in non-model systems.