Though oncolytic viruses(OVs)hold significant potential for comprehensive treatment of malignant tumors,their systemic administration faces substantial challenges such as insufficient circulation time,inadequate tumor...Though oncolytic viruses(OVs)hold significant potential for comprehensive treatment of malignant tumors,their systemic administration faces substantial challenges such as insufficient circulation time,inadequate tumor targeting,and spontaneous antiviral immune response of the body,which seriously limits the clinical application of OVs.Herein,we proposed a tumor targeting strategy of tumor cell membrane biomimetic liposomes to encapsulate OVs for intravenous delivery,which enables OVs to target the homotypic tumor lesions and exert their oncolytic effect.On the one hand,this cell membrane biomimetic carrier enhanced the encapsulation of OVs by the hybrid lipid membranes,concealed the viral capsid proteins,and diminished the neutralization and clearance of the virions from the bloodstream.On the other hand,enhanced tumor targeted delivery can be achieved through the utilization of homologous adhesion molecules on the surface of tumor cell membrane.In addition,this strategy also promoted the tumor infiltration of CD4^(+),CD8^(+)T cells mediated by the oncolytic effect of OVs and increased the levels of inflammatory factors such as tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6)in the tumor,thereby effectively enhancing the anti-tumor effect of intravenous administration of OVs.The findings of our study demonstrate that T-L@Ad11 offers a handy and efficient approach for targeting tumors,thereby enhancing the antitumor efficacy of intravenous administration of OVs.展开更多
Multivariate time series forecasting iswidely used in traffic planning,weather forecasting,and energy consumption.Series decomposition algorithms can help models better understand the underlying patterns of the origin...Multivariate time series forecasting iswidely used in traffic planning,weather forecasting,and energy consumption.Series decomposition algorithms can help models better understand the underlying patterns of the original series to improve the forecasting accuracy of multivariate time series.However,the decomposition kernel of previous decomposition-based models is fixed,and these models have not considered the differences in frequency fluctuations between components.These problems make it difficult to analyze the intricate temporal variations of real-world time series.In this paper,we propose a series decomposition-based Mamba model,DecMamba,to obtain the intricate temporal dependencies and the dependencies among different variables of multivariate time series.A variable-level adaptive kernel combination search module is designed to interact with information on different trends and periods between variables.Two backbone structures are proposed to emphasize the differences in frequency fluctuations of seasonal and trend components.Mamba with superior performance is used instead of a Transformer in backbone structures to capture the dependencies among different variables.A new embedding block is designed to capture the temporal features better,especially for the high-frequency seasonal component whose semantic information is difficult to acquire.A gating mechanism is introduced to the decoder in the seasonal backbone to improve the prediction accuracy.A comparison with ten state-of-the-art models on seven real-world datasets demonstrates that DecMamba can better model the temporal dependencies and the dependencies among different variables,guaranteeing better prediction performance for multivariate time series.展开更多
Flexible electrochromic energy storage devices(FECESDs)for powering flexible electronics have attracted considerable attention.Silver nanowires(AgNWs)are one kind of the most promising flexible transparent electrodes(...Flexible electrochromic energy storage devices(FECESDs)for powering flexible electronics have attracted considerable attention.Silver nanowires(AgNWs)are one kind of the most promising flexible transparent electrodes(FTEs)materials for the emerging flexible devices.Currently,fabricating FECESD based on AgNWs FTEs is still hindered by their intrinsic poor electrochemical stability.To address this issue,a hybrid AgNWs/Co(OH)_(2)/PEDOT:PSS electrode is proposed.The PEDOT:PSS could not only improve the resistance against electrochemical corrosion of AgNWs,but also work as functional layer to realize the color-changing and energy storage properties.Moreover,the Co(OH)_(2)interlayer further improved the color-changing and energy storage performance.Based on the improvement,we assembled the symmetrical FECESDs.Under the same condition,the areal capacitance(0.8 mF cm^(−2))and coloration efficiency(269.80 cm^(2)C−1)of AgNWs/Co(OH)_(2)/PEDOT:PSS FECESDs were obviously higher than AgNWs/PEDOT:PSS FECESDs.Furthermore,the obtained FECESDs exhibited excellent stability against the mechanical deformation.The areal capacitance remained stable during 1000 times cyclic bending with a 25 mm curvature radius.These results demonstrated the broad application potential of the AgNWs/Co(OH)_(2)/PEDOT:PSS FECESD for the emerging portable and multifunctional electronics.展开更多
The site selection of converter stations for voltage source converter-based direct current(VSC-DC)interties can significantly impact their control performance,particularly when both grid-following control(GFL)and grid...The site selection of converter stations for voltage source converter-based direct current(VSC-DC)interties can significantly impact their control performance,particularly when both grid-following control(GFL)and grid-forming control(GFM)are configured.It is challenging to fully realise the maximum potential of both control modes at a single node within an urban power grid.This paper proposes a novel converter station site selection method to identify optimal connection points in urban grids,enabling efficient active power transfer while providing flexible active and reactive power support in inter-connected urban areas.First,a comprehensive index system is developed to quantitatively assess the impact of VSC-DC intertie converter station siting on urban grids under both GFL and GFM modes.The proposed method utilises voltage stability margins to quickly rank candidate nodes and combines Euclidean distance with grey relational analysis to determine the most advantageous locations.A case study demonstrates the effectiveness of the proposed approach.The results show that the novel site selection method ensures converter stations configured with both GFL and GFM are optimally sited,thereby maximising control performance,significantly enhancing power support capabilities,and improving resilience at the connected nodes.展开更多
Distributed secondary control,depending on the sparse communication topology,excels for its flexibility and expandability in microgrids.The communication network plays an important role in microgrid control,but it is ...Distributed secondary control,depending on the sparse communication topology,excels for its flexibility and expandability in microgrids.The communication network plays an important role in microgrid control,but it is vulnerable to cyber-attacks.In this paper,the mathematical model for false data injection(FDI)attacks in AC microgrids is established,and the corresponding detection mechanism based on the morphological gradient is designed for the location of cyber-attacks in communication topology.Then,we propose a median-based resilient consensus voltage control strategy to mitigate the negative effects caused by malicious cyber-attacks and ensure the safe operation of the microgrid.Combining the detection method and resilient consensus control,a novel eventdriven mitigation scheme is derived to improve the resilience of microgrids under cyber-attacks.Finally,a tested microgrid model composed of five different distributed generation(DG)units is simulated in the MATLAB/Simulink environment.The feasibility and effectiveness of the presented detection mechanism and resilient consensus strategy are verified by simulation results applying different scenarios.展开更多
The physical connections and logical relationships between microgrids and communication networks allow microgrids to develop into typical cyber-physical systems(CPSs).With the extensive use of open communication mecha...The physical connections and logical relationships between microgrids and communication networks allow microgrids to develop into typical cyber-physical systems(CPSs).With the extensive use of open communication mechanisms,the impact of cyber disturbances in public communication networks cannot be diminshed.In this paper,a parameter optimal method for a distributed secondary controller based on the robust control theory and consensus algorithm is presented to enhance the robustness of a secondary control system under data disturbance,parameter perturbation,and time delay.First,a distributed secondary control strategy of microgrids is demonstrated that coordinates frequency and voltage restoration and power sharing.Then,considering the impact of cyber events on the secondary control,a distributed robust controller gain design method is proposed to satisfy the H∞ performance index.The solution of the distributed robust control is transformed into a linear matrix in equation problem and latency margin is simultaneously obtained.Finally,a test microgrid CPS is simulated with and without time delay to investigate the impact of cyber events on system operational states and the effectiveness and robustness of the proposed method.展开更多
基金supported by the National Key R&D Program of China(No.2022YFC2403401)the National Natural Science Foundation of China(nos.82073368,82303766)+2 种基金the Liaoning Revitalization Talents Program(No.XLYC2007071)the China Postdoctoral Science Foundation(No.2023M743908)the Joint Program of Science and Technology Program of Liaoning Province(No.2023JH2/101700094).
文摘Though oncolytic viruses(OVs)hold significant potential for comprehensive treatment of malignant tumors,their systemic administration faces substantial challenges such as insufficient circulation time,inadequate tumor targeting,and spontaneous antiviral immune response of the body,which seriously limits the clinical application of OVs.Herein,we proposed a tumor targeting strategy of tumor cell membrane biomimetic liposomes to encapsulate OVs for intravenous delivery,which enables OVs to target the homotypic tumor lesions and exert their oncolytic effect.On the one hand,this cell membrane biomimetic carrier enhanced the encapsulation of OVs by the hybrid lipid membranes,concealed the viral capsid proteins,and diminished the neutralization and clearance of the virions from the bloodstream.On the other hand,enhanced tumor targeted delivery can be achieved through the utilization of homologous adhesion molecules on the surface of tumor cell membrane.In addition,this strategy also promoted the tumor infiltration of CD4^(+),CD8^(+)T cells mediated by the oncolytic effect of OVs and increased the levels of inflammatory factors such as tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6)in the tumor,thereby effectively enhancing the anti-tumor effect of intravenous administration of OVs.The findings of our study demonstrate that T-L@Ad11 offers a handy and efficient approach for targeting tumors,thereby enhancing the antitumor efficacy of intravenous administration of OVs.
基金supported in part by the Interdisciplinary Project of Dalian University(DLUXK-2023-ZD-001).
文摘Multivariate time series forecasting iswidely used in traffic planning,weather forecasting,and energy consumption.Series decomposition algorithms can help models better understand the underlying patterns of the original series to improve the forecasting accuracy of multivariate time series.However,the decomposition kernel of previous decomposition-based models is fixed,and these models have not considered the differences in frequency fluctuations between components.These problems make it difficult to analyze the intricate temporal variations of real-world time series.In this paper,we propose a series decomposition-based Mamba model,DecMamba,to obtain the intricate temporal dependencies and the dependencies among different variables of multivariate time series.A variable-level adaptive kernel combination search module is designed to interact with information on different trends and periods between variables.Two backbone structures are proposed to emphasize the differences in frequency fluctuations of seasonal and trend components.Mamba with superior performance is used instead of a Transformer in backbone structures to capture the dependencies among different variables.A new embedding block is designed to capture the temporal features better,especially for the high-frequency seasonal component whose semantic information is difficult to acquire.A gating mechanism is introduced to the decoder in the seasonal backbone to improve the prediction accuracy.A comparison with ten state-of-the-art models on seven real-world datasets demonstrates that DecMamba can better model the temporal dependencies and the dependencies among different variables,guaranteeing better prediction performance for multivariate time series.
基金supports from the National Natural Science Foundation of China (Grant No. 52175300)Fundamental Research Funds for the Central Universities (2022FRFK060008)+2 种基金Heilongjiang Touyan Innovation Team Program (HITTY-20190013)Shenzhen Fundamental Research Programs (JCYJ20200925160843002)Start-up fund of SUSTech (Y01256114)
文摘Flexible electrochromic energy storage devices(FECESDs)for powering flexible electronics have attracted considerable attention.Silver nanowires(AgNWs)are one kind of the most promising flexible transparent electrodes(FTEs)materials for the emerging flexible devices.Currently,fabricating FECESD based on AgNWs FTEs is still hindered by their intrinsic poor electrochemical stability.To address this issue,a hybrid AgNWs/Co(OH)_(2)/PEDOT:PSS electrode is proposed.The PEDOT:PSS could not only improve the resistance against electrochemical corrosion of AgNWs,but also work as functional layer to realize the color-changing and energy storage properties.Moreover,the Co(OH)_(2)interlayer further improved the color-changing and energy storage performance.Based on the improvement,we assembled the symmetrical FECESDs.Under the same condition,the areal capacitance(0.8 mF cm^(−2))and coloration efficiency(269.80 cm^(2)C−1)of AgNWs/Co(OH)_(2)/PEDOT:PSS FECESDs were obviously higher than AgNWs/PEDOT:PSS FECESDs.Furthermore,the obtained FECESDs exhibited excellent stability against the mechanical deformation.The areal capacitance remained stable during 1000 times cyclic bending with a 25 mm curvature radius.These results demonstrated the broad application potential of the AgNWs/Co(OH)_(2)/PEDOT:PSS FECESD for the emerging portable and multifunctional electronics.
基金Key project of teacher education in henan provincial department of education(No.2016jsjyzd020)structure and cultivation of positive psychological quality of rural primary and secondary school teachers based on teacher culture
基金National Natural Science Foundation of China,Grant/Award Number:52207119Young Elite Scientists Sponsorship Program by CAST,Grant/Award Number:2023QNRC001Shandong Provincial Natural Science Foundation,China,Grant/Award Number:ZR2024QE468。
文摘The site selection of converter stations for voltage source converter-based direct current(VSC-DC)interties can significantly impact their control performance,particularly when both grid-following control(GFL)and grid-forming control(GFM)are configured.It is challenging to fully realise the maximum potential of both control modes at a single node within an urban power grid.This paper proposes a novel converter station site selection method to identify optimal connection points in urban grids,enabling efficient active power transfer while providing flexible active and reactive power support in inter-connected urban areas.First,a comprehensive index system is developed to quantitatively assess the impact of VSC-DC intertie converter station siting on urban grids under both GFL and GFM modes.The proposed method utilises voltage stability margins to quickly rank candidate nodes and combines Euclidean distance with grey relational analysis to determine the most advantageous locations.A case study demonstrates the effectiveness of the proposed approach.The results show that the novel site selection method ensures converter stations configured with both GFL and GFM are optimally sited,thereby maximising control performance,significantly enhancing power support capabilities,and improving resilience at the connected nodes.
基金supported by the National Key Research and Development Program of China(2020YFE0200400)。
文摘Distributed secondary control,depending on the sparse communication topology,excels for its flexibility and expandability in microgrids.The communication network plays an important role in microgrid control,but it is vulnerable to cyber-attacks.In this paper,the mathematical model for false data injection(FDI)attacks in AC microgrids is established,and the corresponding detection mechanism based on the morphological gradient is designed for the location of cyber-attacks in communication topology.Then,we propose a median-based resilient consensus voltage control strategy to mitigate the negative effects caused by malicious cyber-attacks and ensure the safe operation of the microgrid.Combining the detection method and resilient consensus control,a novel eventdriven mitigation scheme is derived to improve the resilience of microgrids under cyber-attacks.Finally,a tested microgrid model composed of five different distributed generation(DG)units is simulated in the MATLAB/Simulink environment.The feasibility and effectiveness of the presented detection mechanism and resilient consensus strategy are verified by simulation results applying different scenarios.
文摘The physical connections and logical relationships between microgrids and communication networks allow microgrids to develop into typical cyber-physical systems(CPSs).With the extensive use of open communication mechanisms,the impact of cyber disturbances in public communication networks cannot be diminshed.In this paper,a parameter optimal method for a distributed secondary controller based on the robust control theory and consensus algorithm is presented to enhance the robustness of a secondary control system under data disturbance,parameter perturbation,and time delay.First,a distributed secondary control strategy of microgrids is demonstrated that coordinates frequency and voltage restoration and power sharing.Then,considering the impact of cyber events on the secondary control,a distributed robust controller gain design method is proposed to satisfy the H∞ performance index.The solution of the distributed robust control is transformed into a linear matrix in equation problem and latency margin is simultaneously obtained.Finally,a test microgrid CPS is simulated with and without time delay to investigate the impact of cyber events on system operational states and the effectiveness and robustness of the proposed method.
