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We found that the potential shock process is inapplicable in a high-conductivity aqueous electrolyte, e.g. a MnO2 precursor solution (herein, 0.006 M KMnO4: 852–933 μS/m).
The availability of a classical solution obtained through the inverse method, which is briefly included in an appendix, allows the confirmation of the exactness of the alternative solution herein presented.
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The present paper gives an overview of future challenges to be solved for RPC-free design and some new solutions herein.
The analytical solutions herein proposed are also compared with the results obtained from several experiments based on single-lap shear tests.
The numerical solution developed herein is also compared to classical techniques of Den Hartog and Warburton.
The solution presented herein includes the estimation of rate gyros biases, yielding globally asymptotically stable error dynamics under some mild restrictions on the vehicle team configurations.
The efficiency of the present approach is illustrated via several examples, while results from finite element analyses are in good agreement with the analytical solution presented herein.
The solution developed herein combines non-linear FE analysis (by positional FEM), structural reliability analysis, Artificial Neural Networks (used as surrogates for objective function) and a hybrid Particle Swarm Optimization algorithm, which efficiently solves for the global optimum.
As the developed analytical model is of a general nature, it is hoped that the solution provided herein will lead to a better and realistic design of ditch drainage networks for controlling waterlogged areas and in reclaiming salt affected soils.
The solution proposed herein, the image-enhanced operating environment, utilises two different imaging modalities and plays on their respective strengths to meet the differing needs of the two outlined steps of planning and execution.
At this CC bond conversion, the aqueous monomer solutions studied herein have become hydrogels.
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