Leading practitioners failed to incorporate insights from finance, behavioural economics, and institutional economics into models, leading to an outlook on the economy that was uncomfortably detached from reality.
Moreover, they neglect the limitations of individual forecasting models, leading to poor forecasting accuracy.
In this paper, we identify a crucial numerical problem in sigma coordinate models, leading to unacceptable spurious diapycnal mixing.
However, predicting the quality of a mold is tricky, and while computer simulations are highly advanced, they rely on conservative models, leading to over-dimensioned parts.
Analysis of these internal heat transfer mechanisms and the design of hybrid structures require three-dimensional models leading to a high modelling effort.
The experiments will still be needed, but they will be performed at different scales to calibrate and validate the models leading to predictive simulations for design and licensing.
The experimental results are investigated by means of Elastic Plastic Stress Fields and strut-and-tie models leading to a number of recommendations for their design in practice.
We develop a spatiotemporal-semantic model to quantitatively express human activity patterns based on topic models, leading to an analysis of space, time and semantics.
Integer cuts are included in the general models leading to lists of optimal solutions which often contain a combination of pure and mixed solvents.
Many challenges lie ahead: security and privacy issues, product energy and maintenance needs, new product-person relationship models leading to product-user-manufacturer relationships, and new business models reflecting the object/service duality.
At present, the balance between these effects varies markedly among coupled climate carbon-cycle models, leading to a range of 330 gigatonnes in the projeclimate carbon-cyclemodelsof carbon stored on tropicaleadingby 2100.
