Nature

An unconventional uptake rate objective function approach enhances applicability of genome-scale models for mammalian cells

Constraint-based modeling has been applied to analyze metabolism of numerous organisms via flux balance analysis and genome-scale metabolic models, including mammalian cells such as the Chinese ...
Nature

Barrier Lyapunov function-based robust adaptive neural network control with dynamically adjusted activation functions for Euler–Lagrange systems under position constraints

This paper proposes a novel robust control strategy with position constraints for a class of Euler–Lagrange systems. The approach integrates an adaptive neural network estimator to compensate for ...