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A surfactant-free synthetic methodology is reported for the preparation of β-Ni(OH 2-NiCo2O4 hybrid nanostructure.
A synthetic methodology is reported for the preparation of spin-labelled side-chain liquid crystal polymers in which the label is covalently attached to the polymer backbone.
In this paper, a neural networks (NN) based methodology is reported where black box type models are developed to predict HCCI combustion behavior during transient operation.
An effective methodology is reported for determining the optimal capacity (lot-size) of batch processing and storage networks which include material recycle or reprocessing streams.
A new methodology is reported for the continuous, solvent- and oil-free production of photopolymerizable microparticles containing encapsulated human dermal fibroblasts.
Each of the different 'aspects' of the methodology is reported as a separate section (JSON object) and any/all metadata that are relevant to the methodology of the research can and should be included.
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Requirements to apply satisfactorily the proposed methodology are reported in detail.
The design strategy and details of the data collection and reduction methodology are reported.
In leadership prediction, the highest results on the ELEA dataset using a similar baseline methodology was reported as 74.5% in [1] using co-occurrence features.
In this study, fabrication of novel gelatin/GAG nanofibrous mats and also the optimization of electrospinning process using response surface methodology were reported.
Numerical simulations using an Euler Euler methodology are reported here across a wide range of operating conditions, where we discuss model assumptions and model validation.
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approaches is reported
designs is reported
procedures is reported
processes is reported
methodology is explained
methodology is flawed
methodology is illustrated
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methodology is presented
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