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In general it is difficult to apply analytical methods for calculation the effects of dynamic signal timing enhancements or active bus priority at traffic signals.
Using neural networks and optimization technologies, it is possible to apply analytical methods to search for the optimum mixture of concrete composition, a mixture with the lowest cost and required performance, such as strength and slump.
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The present paper is devoted to the consideration of one of the applied analytical methods for the analysis of composite shells of revolution operating under axisymmetric loading conditions.
This paper improves upon an existing model for the bistable piezoelectric harvester by incorporating nonlinear dissipation and cubic softening influences in the electroelastic laminates before applying analytical methods.
To address the problem of scarcity of subjects, we applied analytical methods derived from neuropsychology: comparing each astronaut treated as a single subject to a group of carefully matched controls (N= 13).
Direct applications concern those analyses that pursue their aims by applying analytical methods autonomously; they comprehend two broad classes of procedures addressed, respectively, to solve specific engineering problems and to assess general tendencies.
Within the last decades, the performance of concrete has been significantly improved by applying different kinds of micro- and nanoparticles and by applying analytical methods from fundamental research disciplines that had not been used for construction materials before, e.g. atomic force microscopy.
The remainder of the paper is structured as follows: Section 2 starts with a description of the MRIO and material flow data as well as of the applied analytical methods.
The correct combination of the applied analytical methods is essential for enzyme recognition.
This study also had some limitations related to the challenges of operationalizing available, real-world data and applying analytical methods conservatively.
For data meeting the quality control criteria, MultiRankSeq compares the study groups using several of the most commonly applied analytical methods and combines their results to generate a new rank-sum interpretation.
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