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The temperature oscillation method helps in estimating the temperature dependent thermal conductivity of nanofluids.
Thus, this paper shows how our growth method helps in optimizing the QDs homogeineity and increasing the QDs dimension.
The proposed method helps in achieving miniaturization and bidirectional flow of fluid which is not possible in traditional pumps.
The method helps in recognizing the primary candidate node which is the one that, during a transmission round, can carry data farthest to the destination node.
The computer assisted method helps in the chromatographic peak selection and the metabolite structure assignment, enabling automatic data comparison for qualitative applications (kinetic analysis, cross species comparison).
This method helps in increasing the efficacy of organic solvents, such as, the liquid hydrocarbons which would be suitable for upstream petroleum engineering application.
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The apparent water resistivity (Rwa) method helped in quick detecting the hydrocarbon-bearing zones of the formation.
Response surface methodology (RSM), one of the global optimization methods, helps in evaluating the effective factors and in building models to study interaction, and to select optimum conditions of variables for a desired response.
Protein sequence clustering, using Pro-Kmeans, Pro-LEADER, Pro-CLARA and Pro-CLARANS methods helps in classifying a new sequence, retrieve a set of similar sequences for a given query sequence and predict the protein structure of an unknown sequence.
Interval MADM methods help in reduction of data degeneration and produce more robust results.
Systematic hazard-study methods help in understanding the nature of hazards and their contributing factors.
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