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Existing sample data are important for digital soil mapping.
These data are important for hot stars and for assessing the effects of interstellar attenuation.
So, the experimental thermal property data are important for the blanket design.
These basic data are important for workplace, task, and equipment design.
Thermal conductivity data are important for modelling thermal processes and designing refrigeration systems.
Vapour liquid equilibrium (VLE) data are important for designing and modeling of process equipments.
These data are important for making an informed risk-benefit decision concerning OTC statin availability.
These data are important for designing investigational studies of nervous system development.
Thermal conductivity data are important for food process modelling and design.
These data are important for developing a rational response to the prevention and management of anemia.
Accurate thermal neutron-induced fission data are important for applications in reactor physics as well as for fundamental nuclear physics.
More suggestions(13)
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data processing are important for
reporting are important for
collected are important for
evidence are important for
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com