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Two modalities of neuroimaging techniques (PET and MRS) are leading to a greater understanding of quantification for the early and differential diagnosis of Alzheimer's disease.
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As the issue gets shaped and re-shaped by advances in our understanding of 'is', quantification and explanatory standards, it becomes evident that the value of these diagnostic tools is not exhausted by their service in exposing pseudo-questions.
For instance, Stalnaker (1972, 1973, 1974), Lewis (1979, 1980), Thomason (1990) and others have developed models of the kinematics of conversations aimed at understanding the role of quantification, presupposition (both semantic and pragmatic), anaphora, deixis, and vagueness in discourse.
Studies of the ecological significance of phenolics have been conducted extensively since 1980, contributing significant understanding of their production, quantification, degradation, and effect on decomposition.
To facilitate analysis and understanding of the desalting quantification experimental results, and to serve as a tool for future device design and operational guidance, we have developed a simple model that captures all relevant dominant physics of the microfabricated desalting device (see the Supporting Information).
That approach, however, would not have provided a simultaneous understanding and quantification of each of the many interrelated mechanisms, controls, and associated biomarkers involved in this regulation, nor would it have allowed for the longitudinal predictions that were used for the biomarker evaluations.
Finally, a better understanding and quantification of the effects of allometric model errors on overall uncertainties of ALS-based models and AGB estimates is a fundamental topic for future studies.
Because of the paucity of high resolution localised data for this type of flows, the current understanding and quantification of a suitable range for those discharge coefficients is somewhat lacking.
Coupled STH and CFD codes require validation for understanding and quantification of the sources of uncertainties in the code prediction.
Fundamental to addressing this is the sound scientific understanding and quantification of the amount of Earth system change that societies are currently experiencing and may experience by the end of the twenty-first century.
A better understanding, and quantification, of the kinetics of N2O reduction by DNB is critical to predicting N2O emissions from wastewater treatment processes and developing strategies for N2O mitigation.
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