To enable distributed PV to adapt to variations in power grid strength and achieve stable grid connection while enhancing operational flexibility,it is essential to configure grid-connected inverters with an integrate...To enable distributed PV to adapt to variations in power grid strength and achieve stable grid connection while enhancing operational flexibility,it is essential to configure grid-connected inverters with an integrated grid-following control mode,allowing smooth switching between GFL and GFM modes.First,impedance models of GFL and GFM PV energy storage VSG systems were established,and grid stability was analyzed.Second,an online impedance identification method based on voltage fluctuation data screening was proposed to enhance the accuracy of impedance identification.Additionally,a PV energy storage GFM/GFL VSG smooth switching method based on current inner loop compensation was introduced to achieve stable grid-connected operation of distributed photovoltaics under changes in strong and weak power grids.Finally,a grid stability analysis was conducted on the multi-machine parallel PV ESS,and a simulation model of a multi-machine parallel PV ESS based on current inner loop compensation was established for testing.Results showed that,compared to using a single GFM or single GFL control for the PV VSG system,the smooth switching method of multi-machine parallel PV ESS effectively suppresses system resonance under variations in power grid strength,enabling adaptive and stable grid-connected operations of distributed PV.展开更多
Wind power prediction is very important for the economic dispatching of power systems containing wind power.In this work,a novel short-term wind power prediction method based on improved complete ensemble empirical mo...Wind power prediction is very important for the economic dispatching of power systems containing wind power.In this work,a novel short-term wind power prediction method based on improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN)and(long short-term memory)LSTM neural network is proposed and studied.First,the original data is prepossessed including removing outliers and filling in the gaps.Then,the random forest algorithm is used to sort the importance of each meteorological factor and determine the input climate characteristics of the forecast model.In addition,this study conducts seasonal classification of the annual data where ICEEMDAN is adopted to divide the original wind power sequence into numerous modal components according to different seasons.On this basis,sample entropy is used to calculate the complexity of each component and reconstruct them into trend components,oscillation components,and random components.Then,these three components are input into the LSTM neural network,respectively.Combined with the predicted values of the three components,the overall power prediction results are obtained.The simulation shows that ICEEMDAN-SE-LSTM achieves higher prediction accuracy ranging from 1.57%to 9.46%than other traditional models,which indicates the reliability and effectiveness of the proposed method for power prediction.展开更多
In response to the underutilization of energy and insufficient flexible operation capability of rural energy supply systems in China,this study proposes an optimal dispatch approach for a rural multi-energy supply sys...In response to the underutilization of energy and insufficient flexible operation capability of rural energy supply systems in China,this study proposes an optimal dispatch approach for a rural multi-energy supply system(RMESS)considering virtual energy storage(VES).First,to enable the flexible utilization of rural biomass resources and the thermal inertia of residential building envelopes,this study constructed VES-I and VES-II models that describe electrical-thermal and electrical-gas coupling from an electrical viewpoint.Subsequently,an RMESS model encompassing these two types of VES was formulated.This model delineates the intricate interplay of multi-energy components within the RMESS framework and facilitates the precise assessment of the adjustable potential for optimizing RMESS operations.Based on the above models,a day-ahead optimal dispatch model for an RMESS considering a VES is proposed to achieve optimal economic performance while ensuring efficient energy allocation.Comparative simulations validated the effectiveness of the VES modeling and the day-ahead optimal dispatch approach for the RMESS.展开更多
Excess intracellular H_(2)S induces destructive mitochondrial toxicity,while overload of Zn^(2+)results in cell pyroptosis and potentiates the tumor immunogenicity for immunotherapy.However,the precise delivery of bot...Excess intracellular H_(2)S induces destructive mitochondrial toxicity,while overload of Zn^(2+)results in cell pyroptosis and potentiates the tumor immunogenicity for immunotherapy.However,the precise delivery of both therapeutics remains a great challenge.Herein,an electrically activable ZnS nanochip for the controlled release of H_(2)S and Zn^(2+)was developed for enhanced gas-ionic-immunotherapy(GIIT).Under an electric field,a locality with particularly high concentrations of H_(2)S and Zn^(2+)was established by the voltage-controlled degradation of the ZnS nanoparticles(NPs).Consequently,the ZnS nanochip-mediated gas-ionic therapy(GIT)resulted in mitochondrial membrane potential depolarization,energy generation inhibition,and oxidative stress imbalance in tumor cells.Interestingly,the cyclic guanosine monophosphate-adenosine monophosphate synthase-stimulator of interferon genes(cGAS-STING)signaling pathway was activated due to the mitochondrial destruction.Moreover,the released Zn^(2+)resulted in the increase of the intracellular Zn levels and cell pyroptosis,which enhanced the immunogenicity via the release of damage-associated molecular patterns(DAMPs).In vitro and in vivo studies revealed that the ZnS nanochip-based GIT effectively eliminated the tumors under an electric field and mobilized the cytotoxic T lymphocytes for immunotherapy.The combination withαCTLA-4 further promoted the adaptive immune response and inhibited tumor metastasis and long-term tumor recurrence.This work presented an electrically activable ZnS nanochip for combined immunotherapy,which might inspire the development of electric stimulation therapy.展开更多
Ferroptosis is an iron-dependent form of regulated cell death with distinct characteristics,including altered iron homeostasis,reduced defense against oxidative stress,and abnormal lipid peroxidation.Recent studies ha...Ferroptosis is an iron-dependent form of regulated cell death with distinct characteristics,including altered iron homeostasis,reduced defense against oxidative stress,and abnormal lipid peroxidation.Recent studies have provided compelling evidence supporting the notion that ferroptosis plays a key pathogenic role in many diseases such as various cancer types,neurodegenerative disease,diseases involving tissue and/or organ injury,and inflammatory and infectious diseases.展开更多
Imine-linked covalent organic framework on amino functionalized silicon substrate was constructed via a step-wise reaction between 1,3,5-benzenetricarboxaldehyde and 1,4-diaminobenzene.The obtained material was used a...Imine-linked covalent organic framework on amino functionalized silicon substrate was constructed via a step-wise reaction between 1,3,5-benzenetricarboxaldehyde and 1,4-diaminobenzene.The obtained material was used as biosensor for bovine serum albumin(BSA)adsorption and probe DNA immobilization,which extended the application of covalent organic frameworks(COFs)to a new field.展开更多
Dear Editor,The unprecedented COVID-19 pandemic caused by SARS-CoV-2 remains ongoing,but there is a lack of fully effective treatments.Convalescent plasma-derived hyperimmune globulins have been a safe and effective t...Dear Editor,The unprecedented COVID-19 pandemic caused by SARS-CoV-2 remains ongoing,but there is a lack of fully effective treatments.Convalescent plasma-derived hyperimmune globulins have been a safe and effective treatment but restricted by the difficulties in obtaining sufficient plasma with high antibody titers from a large number of recovered patients.Heterologous antibodies,particularly equine antibodies,have been widely used for decades as the therapeutics against some viral infections or as antivenoms.1 Equine antibodies could be rapidly developed and manufactured into therapeutic antibodies in large quantities under WHO standardized guidelines.Here we explored the development of equine antibody-derived F(ab′)2 as an option to treat COVID-19 by targeting the receptor-binding domain(RBD)of the viral spike protein that is essential for the viral entry into the host cells.2 We observed excellent neutralization titers of the F(ab′)2 in vitro and high potency against SARS-CoV-2 infection in the nonhuman primate rhesus macaques.展开更多
Implant-related osteomyelitis is a formidable hurdle in the clinical setting and is characterized by inflammation,infection,and consequential bone destruction.Therefore,effective reactive oxygen species(ROS)scavenging...Implant-related osteomyelitis is a formidable hurdle in the clinical setting and is characterized by inflammation,infection,and consequential bone destruction.Therefore,effective reactive oxygen species(ROS)scavenging,bacterial killing,and subsequent bone tissue repair are urgently needed for the treatment of difficult-to-heal osteomyelitis.Herein,we utilized the eddy-thermal effect of magnesium(Mg)implants under an alternating magnetic field(AMF)for the controlled release of H_(2)gas and ions(OH^(-)and Mg^(2+))for the treatment of osteomyelitis.H_(2)released by Mg rods under AMFs effectively scavenged cytotoxic ROS,exhibiting anti-inflammatory effects and consequently disrupting the environment of bacterial infections.In addition,the OH-hindered the energy metabolism of bacteria by effectively neutralizing protons within the microenvironment.Moreover,H_(2)impaired the permeability of bacterial membranes and expedited the damage induced by OH-.This synergistic AMF-induced H_(2)and proton depletion treatment approach not only killed both gram-negative and gram-positive bacteria but also effectively treated bacterial infections(abscesses and osteomyelitis).Moreover,Mg^(2+)released from the Mg rods enhanced and accelerated the process of bone osteogenesis.Overall,our work cleverly exploited the eddy-thermal effect and chemical activity of Mg implants under AMFs,aiming to eliminate the inflammatory environment and combat bacterial infections by the simultaneous release of H_(2),OH^(-),and Mg^(2+),thereby facilitating tissue regeneration.This therapeutic strategy achieved multiple benefits in one,thus presenting a promising avenue for clinical application.展开更多
基金supported by National Key Research and Development Technology Project program(SQ2022YFB2400136).
文摘To enable distributed PV to adapt to variations in power grid strength and achieve stable grid connection while enhancing operational flexibility,it is essential to configure grid-connected inverters with an integrated grid-following control mode,allowing smooth switching between GFL and GFM modes.First,impedance models of GFL and GFM PV energy storage VSG systems were established,and grid stability was analyzed.Second,an online impedance identification method based on voltage fluctuation data screening was proposed to enhance the accuracy of impedance identification.Additionally,a PV energy storage GFM/GFL VSG smooth switching method based on current inner loop compensation was introduced to achieve stable grid-connected operation of distributed photovoltaics under changes in strong and weak power grids.Finally,a grid stability analysis was conducted on the multi-machine parallel PV ESS,and a simulation model of a multi-machine parallel PV ESS based on current inner loop compensation was established for testing.Results showed that,compared to using a single GFM or single GFL control for the PV VSG system,the smooth switching method of multi-machine parallel PV ESS effectively suppresses system resonance under variations in power grid strength,enabling adaptive and stable grid-connected operations of distributed PV.
基金supported by Science and Technology Project of State Grid Shandong Electric Power Company(52062622000R,Research on Aggregation and Regulation Technology of Regional Integrated Energy System).
文摘Wind power prediction is very important for the economic dispatching of power systems containing wind power.In this work,a novel short-term wind power prediction method based on improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN)and(long short-term memory)LSTM neural network is proposed and studied.First,the original data is prepossessed including removing outliers and filling in the gaps.Then,the random forest algorithm is used to sort the importance of each meteorological factor and determine the input climate characteristics of the forecast model.In addition,this study conducts seasonal classification of the annual data where ICEEMDAN is adopted to divide the original wind power sequence into numerous modal components according to different seasons.On this basis,sample entropy is used to calculate the complexity of each component and reconstruct them into trend components,oscillation components,and random components.Then,these three components are input into the LSTM neural network,respectively.Combined with the predicted values of the three components,the overall power prediction results are obtained.The simulation shows that ICEEMDAN-SE-LSTM achieves higher prediction accuracy ranging from 1.57%to 9.46%than other traditional models,which indicates the reliability and effectiveness of the proposed method for power prediction.
基金supported by Science and Technology Project of SGCC(5108-202218280A-2-375-XG)。
文摘In response to the underutilization of energy and insufficient flexible operation capability of rural energy supply systems in China,this study proposes an optimal dispatch approach for a rural multi-energy supply system(RMESS)considering virtual energy storage(VES).First,to enable the flexible utilization of rural biomass resources and the thermal inertia of residential building envelopes,this study constructed VES-I and VES-II models that describe electrical-thermal and electrical-gas coupling from an electrical viewpoint.Subsequently,an RMESS model encompassing these two types of VES was formulated.This model delineates the intricate interplay of multi-energy components within the RMESS framework and facilitates the precise assessment of the adjustable potential for optimizing RMESS operations.Based on the above models,a day-ahead optimal dispatch model for an RMESS considering a VES is proposed to achieve optimal economic performance while ensuring efficient energy allocation.Comparative simulations validated the effectiveness of the VES modeling and the day-ahead optimal dispatch approach for the RMESS.
基金supported by the National Research Programs of China(2022YFB3804600)the National Natural Science Foundation of China(52472288,U20A20254,and 52072253)+3 种基金Collaborative Innovation Center of Suzhou Nano Science and Technology,Suzhou Key Laboratory of Nanotechnology and Biomedicine,Jiangsu Natural Science Fund for Distinguished Young Scholars(BK20211544)111 Project,and Joint International Research Laboratory of Carbon-Based Functional Materials and Devices,Science and Technology Development Fund Macao SAR(0118/2023/RIA2,0064/2024/AMJ,and 0016/2024/RIA1)Natural Science Foundation of Shandong Province(ZR2021QH315)Suzhou Key Laboratory of Nanotechnology and Biomedicine,and Key Laboratory of Structural Deformities in Children of Suzhou(Szs2022018).
文摘Excess intracellular H_(2)S induces destructive mitochondrial toxicity,while overload of Zn^(2+)results in cell pyroptosis and potentiates the tumor immunogenicity for immunotherapy.However,the precise delivery of both therapeutics remains a great challenge.Herein,an electrically activable ZnS nanochip for the controlled release of H_(2)S and Zn^(2+)was developed for enhanced gas-ionic-immunotherapy(GIIT).Under an electric field,a locality with particularly high concentrations of H_(2)S and Zn^(2+)was established by the voltage-controlled degradation of the ZnS nanoparticles(NPs).Consequently,the ZnS nanochip-mediated gas-ionic therapy(GIT)resulted in mitochondrial membrane potential depolarization,energy generation inhibition,and oxidative stress imbalance in tumor cells.Interestingly,the cyclic guanosine monophosphate-adenosine monophosphate synthase-stimulator of interferon genes(cGAS-STING)signaling pathway was activated due to the mitochondrial destruction.Moreover,the released Zn^(2+)resulted in the increase of the intracellular Zn levels and cell pyroptosis,which enhanced the immunogenicity via the release of damage-associated molecular patterns(DAMPs).In vitro and in vivo studies revealed that the ZnS nanochip-based GIT effectively eliminated the tumors under an electric field and mobilized the cytotoxic T lymphocytes for immunotherapy.The combination withαCTLA-4 further promoted the adaptive immune response and inhibited tumor metastasis and long-term tumor recurrence.This work presented an electrically activable ZnS nanochip for combined immunotherapy,which might inspire the development of electric stimulation therapy.
基金The authors received support from the National Natural Science Foundation of China(31970689 to J.M.,32330047,31930057 to F.W.,and 32100941 to S.S.)the National Key R&D Program(2018YFA0507801 to J.M.and 2018YFA0507802 to F.W.).
文摘Ferroptosis is an iron-dependent form of regulated cell death with distinct characteristics,including altered iron homeostasis,reduced defense against oxidative stress,and abnormal lipid peroxidation.Recent studies have provided compelling evidence supporting the notion that ferroptosis plays a key pathogenic role in many diseases such as various cancer types,neurodegenerative disease,diseases involving tissue and/or organ injury,and inflammatory and infectious diseases.
基金This work was financially supported by the National Natural Science Foundation of China(No.21104070)the School Doctorial Foundation of Zhengzhou University of Light Industry(No.2011BSJJ011).
文摘Imine-linked covalent organic framework on amino functionalized silicon substrate was constructed via a step-wise reaction between 1,3,5-benzenetricarboxaldehyde and 1,4-diaminobenzene.The obtained material was used as biosensor for bovine serum albumin(BSA)adsorption and probe DNA immobilization,which extended the application of covalent organic frameworks(COFs)to a new field.
基金supported in part by the National Key Research and Development Program of China(2021YFC2600200)。
文摘Dear Editor,The unprecedented COVID-19 pandemic caused by SARS-CoV-2 remains ongoing,but there is a lack of fully effective treatments.Convalescent plasma-derived hyperimmune globulins have been a safe and effective treatment but restricted by the difficulties in obtaining sufficient plasma with high antibody titers from a large number of recovered patients.Heterologous antibodies,particularly equine antibodies,have been widely used for decades as the therapeutics against some viral infections or as antivenoms.1 Equine antibodies could be rapidly developed and manufactured into therapeutic antibodies in large quantities under WHO standardized guidelines.Here we explored the development of equine antibody-derived F(ab′)2 as an option to treat COVID-19 by targeting the receptor-binding domain(RBD)of the viral spike protein that is essential for the viral entry into the host cells.2 We observed excellent neutralization titers of the F(ab′)2 in vitro and high potency against SARS-CoV-2 infection in the nonhuman primate rhesus macaques.
基金supported by the National Key Research and Development Program of China(2022YFB3804600,2021YFF0701800)the National Natural Science Foundation of China(U20A20254,52072253)+4 种基金the Science and Technology Development Fund,Macao SAR(0118/2023/RIA2)Collaborative Innovation Center of Suzhou Nano Science and Technology,Suzhou Key Laboratory of Nanotechnology and Biomedicine,the Jiangsu Natural Science Fund for Distinguished Young Scholars(BK20211544)the 111 Project,Joint International Research Laboratory of Carbon-Based Functional Materials and Devices,Medical Research Project of Jiangsu Province(ZD2022024)New Cornerstone Science Foundation through the XPLORER PRIZE,and Key Laboratory of Structural Deformities in Children of Suzhou(SZS2022018)N.Y.was supported by the Macao Young Scholars Program and the Jiangsu Funding Program for Excellent Postdoctoral Talent.
文摘Implant-related osteomyelitis is a formidable hurdle in the clinical setting and is characterized by inflammation,infection,and consequential bone destruction.Therefore,effective reactive oxygen species(ROS)scavenging,bacterial killing,and subsequent bone tissue repair are urgently needed for the treatment of difficult-to-heal osteomyelitis.Herein,we utilized the eddy-thermal effect of magnesium(Mg)implants under an alternating magnetic field(AMF)for the controlled release of H_(2)gas and ions(OH^(-)and Mg^(2+))for the treatment of osteomyelitis.H_(2)released by Mg rods under AMFs effectively scavenged cytotoxic ROS,exhibiting anti-inflammatory effects and consequently disrupting the environment of bacterial infections.In addition,the OH-hindered the energy metabolism of bacteria by effectively neutralizing protons within the microenvironment.Moreover,H_(2)impaired the permeability of bacterial membranes and expedited the damage induced by OH-.This synergistic AMF-induced H_(2)and proton depletion treatment approach not only killed both gram-negative and gram-positive bacteria but also effectively treated bacterial infections(abscesses and osteomyelitis).Moreover,Mg^(2+)released from the Mg rods enhanced and accelerated the process of bone osteogenesis.Overall,our work cleverly exploited the eddy-thermal effect and chemical activity of Mg implants under AMFs,aiming to eliminate the inflammatory environment and combat bacterial infections by the simultaneous release of H_(2),OH^(-),and Mg^(2+),thereby facilitating tissue regeneration.This therapeutic strategy achieved multiple benefits in one,thus presenting a promising avenue for clinical application.
