A TWO-PIECE DERIVATIVE OF A GROUP I INTRON RNA AS A PLATFORM FOR DESIGNING SELF-ASSEMBLING RNA TEMPLATES TO PROMOTE PEPTIDE LIGATION

A Two-Piece Derivative of a Group I Intron RNA as a Platform for Designing Self-Assembling RNA Templates to Promote Peptide Ligation

Multicomponent RNA-peptide complexes are attractive from the viewpoint of artificial design of functional biomacromolecular systems.We have developed self-folding and self-assembling RNAs that serve as templates to assist chemical ligation between two reactive peptides with RNA-binding capabilities.The design principle of previous templates, howeve

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Threshold response to stochasticity in morphogenesis.

During development of biological organisms, multiple complex structures are formed.In many instances, these structures need to exhibit a high degree of order to be functional, although many of their constituents are intrinsically stochastic.Hence, it has been suggested that biological robustness ultimately must rely on complex gene regulatory netwo

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Stability Analysis and Stabilization of Switched Systems With Average Dwell Time: A Matrix Polynomial Approach

This paper focuses on stability analysis and stabilization of a switched system under average dwell time criteria in the continuous-time domain.The matrix Neck polynomial approach is applied to the switched system to construct a continuous Lyapunov function and design a more effective controller, which can not only improve the system performance bu

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Teaching Multiple Inverse Reinforcement Learners

In this paper, we propose the first machine teaching algorithm for multiple inverse reinforcement learners.As our initial contribution, we formalize the problem Hand Brushes of optimally teaching a sequential task to a heterogeneous class of learners.We then contribute a theoretical analysis of such problem, identifying conditions under which it is

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