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Subsequently, we use a sampling approach to determine the uncertainty or resolution of the thermal history.
Subsequently we use our Riemann solvers to construct solutions for the longitudinal impact of two elastic phase transforming bars for a variety of impact conditions.
Subsequently, we use our results to obtain insights on the feasibility conditions governing algorithm design depending on the network density and costs.
Subsequently, we use a meta-analysis to investigate the variation in emissions costs in order to significantly reduce the overall uncertainty.
Subsequently, we use the Watson pragmatic curve fitting algorithm15 (see Methods section) to estimate the percentage of cells in each of the G1/S/G2M phases based on the predicted DNA content.
Subsequently, we use these conditions, given a system state graph, to develop an algorithm to design the location of controlled edges (the input matrix) such that the system is structurally controllable.
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Subsequently, we used US measurements from 22 THA patients, and by 3 different examiners, to calculate intra- and interobserver agreements [ 7].
Subsequently, we used a mixed methods approach to explore teachers' perceptions regarding the factors in this conceptual framework.
Subsequently, we used inverse inverse dynamics to find the optimal GHAA that minimised a performance criterion with physiological constraints.
Subsequently we used the MAXENT algorithm to create a model of the distribution of coppicing over the entire area.
Subsequently, we used the most recent bias-corrected climate projections to analyze potential changes in peak flow statistics in a changed climate.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com