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Controlled thermal input and cooling rate by fine tuning of the processing parameters allowed the production of crack-free fully dense implants.
Adjustment of the sintering parameters allowed the production of ceramics with controlled open microporosity in a wide range of variation, while preserving phase pure SiHA.
Use of appropriate values for these parameters allowed the determination of the spinodal, approximating successfully the immiscibility gap of the ternary.
Careful optimization of these parameters allowed the synthesis of a range of α-l-rhamnosides among which cyclohexyl α-l-rhamnopyranoside, anisyl α-l-rhamnopyranoside and 2-phenylethyl α-l-rhamnopyranoside.
A combined study of thermochemical data and bioclimatic parameters allowed the calculation of risk indices for the different species making up the forest vegetation of a zone situated in the coast of Galicia (NW Spain).
The obtained data, sample properties along with thermal behavior under inert and oxidative atmospheres as well as kinetic parameters, allowed the comparison of the obtained results with other biofuels and can be useful for the design of processing system for energy productions.
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These parameters allow the assessment of two major organelles along with a marker of cellular viability.
The setting of these parameters allows the thermodynamic evaluation of engineering heating practices in separate locations.
Accurately estimated function parameters allow the laboratory results to be scaled to field applications.
The flexibility in the design of the parameters allows the consideration of saturation constraints on the control variable.
Reinforcement learning is used to self-tune the navigation system parameters allowing the DFCM model to be self-adaptive.
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