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Preliminary studies in this work have shown that intelligent based approaches provide efficient cost effective ways of optimising the performance of a lathe cutting tool.
The results of this work have shown that NIR imaging and Raman mapping are capable of monitoring the distribution of the components in a formulation during dissolution while also revealing any form changes which may occur in real time.
The experimental results obtained in this work have shown that the fluctuations of the sound speed and attenuation of ultrasound are well-defined functions with solid and gas holdups in liquid solid and gas liquid two-phase flows.
Since the modified reaction rate rules presented in this work have shown to successfully predict the oxidation kinetics of n-hexane, these rate rules could be the basis for the development of mechanisms for even larger normal alkanes that are more representative of diesel and jet fuels.
Sensors fabricated in this work have shown high sensitivity and also displayed a low limit of detection (LoD).
In conclusion, the results of this work have shown that all three graft configurations tested have sufficient UFL under the in vivo forces experienced during the early postoperative period, with better performance achieved when the graft is arranged in a "quadrupled" or even a "tripled" manner.
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This work has shown the feasibility and advantages of integrating PAT into QbD implementation for rapid process development.
This work has shown that 'precursor' charge signals can be detected prior to the onset of adhesive wear.
However this work has shown that large samples of High Energy Density (HED) matter will be generated in such experiments which suggests an additional application of this facility.
This work has shown the excellent capability of artificial neural network approach for the simulation of the compressive properties of closed-cell aluminum foam.
The approach proposed in this work has shown a strong potential to identify a consistent glucose-insulin model in real time for use in an AP system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com