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To be successful at strategy through experimentation, adaptive firms master three essential thinking steps: they continuously vary their approach, generating a range of strategic options to test.
To simulate a realistic variation about this average, Forecaster uses a stochastic approach, generating a normally distributed random variate with mean one and coefficient of variation 6.9% for each stem, and multiplying all predicted log densities for the stem by this variate.
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This approach generates a much richer pipeline of talent – and ultimately creates better leaders.
New approach generates a wider variety of protein sequences optimized to bind to drug targets.
Exploring Pareto dominance concepts, the approach generates a model composed by rules with specific properties.
The proposed approach generates a Pareto frontier to aid users in making decisions.
This new approach generates a strong bias towards one chiral form from a small initial imbalance, based on the equilibrium solid liquid phase behaviour of amino acids.
This approach generates a similar tree of possibilities, although each node represents a probability distribution, or the likelihood of a given outcome.
Moreover, the analysis of composition results proves that the proposed approach generates a set of pleasant and diverse melodies.
Thus, this biomaterials approach generates a vascularized network of regenerated functional neuronal connections within previously dead tissue and lays the groundwork for the use of angiogenic materials to repair other neurologically diseased tissues.
This approach generates a strategy to combine metal oxide nanoparticles with nanostructured carbon derived from biomass, which is expected for a broad set of possible electrode chemistries.
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