Routine LEO GPS measurements can provide unprecedented opportunities to further explore this phenomenon and effectively support radar data for solving components of SED/TOI structure modeling.
By introducing the concept of reusability and a new formulation of compatibility matrix, an optimization model is proposed to solve component selection problem considering reusability and compatibility simultaneously.
In this paper, an adaptive Kriging surrogate model with active refinement is proposed to solve component reliability assessment problems (i.e. involving one single design point) with nonlinear and time-consuming implicit limit state functions with a moderate number of input basic random variables.
According to this framework, transdisciplinary research is a flexible and adaptive process that requires continual shifting between full transdisciplinary collaboration and reductionist approaches to solve component pieces of the puzzle.
The precipitate was isolated and dissolved in dimethyl formamide (DMF), and the solved components were separated by thin layer chromatography (TLC).
This makes it possible to account for interactions and contributions of multiple phases of constituent materials as well as concentrations of solved components, which in computational cardiac modelling are the solid phase – the cardiac tissue – and the liquid phase – blood and interstitial fluid.
A designed experiment was used to determine the best representation and crossover type, crossover rate, and mutation rate to use in solving a component sequencing problem for a PCB consisting of 10 components being placed on a single-headed placement machine.
There is an emerging literature regarding the effectiveness of interventions that include a work-focused problem-solving component.
Block Design is a timed task that requires motor manipulation of blocks to match target designs and relies on processing speed, visuospatial skills and an executive problem-solving component.
In this work, we present a Lagrangian-based framework, denoted as FASTREACT, that aims at solving multi-component-reactive transport problems with a computationally efficient approach allowing complex modelling problems to be solved in large spatial and temporal scales.
