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In order to improve treatment, knowledge of current treatment methods is indispensable but as yet, it is not adequately available.
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Quantitative methods are indispensable tools for mediating the interaction between theory and experiment, within a scientific paradigm that emphasizes replicability and common understanding of terms.
DC (direct current) electrical and shallow seismic methods are indispensable to the near surface geophysical exploration, but the near surface areas are very difficult environments for any geophysical exploration due to the random noise caused by near surface inhomogeneities.
For the assessment of earthquake response of such structures, numerical methods are indispensable tools since they offer a concise way of accurately considering all these nonlinearities in the same model.
To make full use of the potential of this sparse data and to study ligand protein interactions on a proteome wide scale, computational methods are indispensable as they can be used to predict bioactivity values of compound-target combinations that have not been tested experimentally [8 10].
Thus protein structure comparison methods are indispensable.
Reliable surveillance methods are indispensable for benchmarking of healthcare-associated infection rates.
These methods are indispensable in taking measures to reduce future contaminations and to protect our environment.
Phylogenetic methods are indispensable for mtDNA studies of human disease [ 4].
Since physical experimental methods are expensive and time consuming, computational methods are indispensable for guiding the physical experimental analysis.
Biomarkers are of the essence to monitor cancer or disease progression; likewise quantitative methods are indispensable to screen potential markers in human samples for clinical applications.
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