摘要：In a recent publication [1], these images in Figures 6(b, c)(^NPEG-NPCe6 group), S7, S9 and S10 were inadvertently taken the incorrect images in the production. The corrected versions are shown below. And, the quantification of Ce6 fluorescence(as performed in Figure 6(c)) was also corrected(Figure S12).

摘要：There is a consensus that the prevention of wound infection should be achieved in the following ways:(1)closing the wound to protect it from extra infection;(2)an antibacterial agent that could kill endogenous ***,existing bulk two-dimensional antibacterial materials show inefficient adhesion to wounds with complex morphology and thus cause the prevention of wound *** the thickness of bulk two-dimensional materials to less than 100 nanometres endows them with great flexibility,which could allow them to adhere to wounds with complex morphology by only physical ***,a broad-spectrum and efficient antimicrobial peptide(AMP)was introduced to biocompatible methacrylated gelatine(GelMA)with multiple modification sites,which served as an inner antibacterial *** being combined with a biodegradable and good mechanical poly-l-lactide(PLLA)outer layer through plasma-treatment-assisted spin coating,we finally constructed bilayered antibacterial nanosheets with a thickness of approximately 80 *** bilayered nanosheets possess good adhesion to surfaces with complex topography and thus achieve better wound closure than other bulk two-dimensional ***,this AMP-grafted conjugation shows minimal cytotoxicity compared with Ag^+antibacterial agents,and the antibacterial rate of nanosheets is dependent on the graft rate of *** suggest that this bilayered antibacterial nanosheet might be an advanced anti-infection dressing for wound treatment in clinical settings.

摘要：Robust control design is presented for a general class of uncertain non-affine nonlinear systems. The design employs feedback linearization, coupled with two high-gain observers: the first to estimate the feedback linearization error based on the full state information and the second to estimate the unmeasured states of the system when only the system output is available for feedback. All the signals in the closed loop are guaranteed to be uniformly ultimately bounded(UUB) and the output of the system is proven to converge to a small neighborhood of the origin. The proposed approach not only handles the difficulty in controlling non-affine nonlinear systems but also simplifies the stability analysis of the closed loop due to its linear control structure. Simulation results show the effectiveness of the approach.