Nucleation of lithium sulfide(Li_(2)S)induced by electrocatalysts plays a crucial role in mitigating the shut-tle effect.However,short-chain polysulfides on electrocatalysts surfaces tend to re-dissolve into elec-trol...Nucleation of lithium sulfide(Li_(2)S)induced by electrocatalysts plays a crucial role in mitigating the shut-tle effect.However,short-chain polysulfides on electrocatalysts surfaces tend to re-dissolve into elec-trolytes,delaying Li_(2)S supersaturation and its nucleation.In this study,we draw inspiration from the ribosome-driven protein synthesis process in cells to prepare ultrasmall nitrogen-doped MoS_(2) nanocrys-tals anchored on porous nitrogen-doped carbon networks(N-MoS_(2)-NC)electrocatalysts.Excitedly,the ex-situ SEM demonstrates that ribosome-inspired N-MoS_(2)-NC electrocatalysts induce early nucleation and rapid growth of three-dimensional Li_(2)s during discharge.Theoretical calculations reveal that the Li-s bond length in N-MoS_(2)-Li_(2)S(100)is shorter,and the corresponding interfacial formation energy is lower than in MoS_(2)-Li_(2)S(100).This accelerated conversion of lithium polysulfides to Li_(2)S can enhance the utilization of active substances and inhibit the shuttle effect.This study highlights the potential of ribosome-inspired N-MoS_(2)-NC in improving the electrochemical stability of Li-S batteries,providing valuable insights for future electrocatalyst design.展开更多
Missing value is one of the main factors that cause dirty data.Without high-quality data,there will be no reliable analysis results and precise decision-making.Therefore,the data warehouse needs to integrate high-qual...Missing value is one of the main factors that cause dirty data.Without high-quality data,there will be no reliable analysis results and precise decision-making.Therefore,the data warehouse needs to integrate high-quality data consistently.In the power system,the electricity consumption data of some large users cannot be normally collected resulting in missing data,which affects the calculation of power supply and eventually leads to a large error in the daily power line loss rate.For the problem of missing electricity consumption data,this study proposes a group method of data handling(GMDH)based data interpolation method in distribution power networks and applies it in the analysis of actually collected electricity data.First,the dependent and independent variables are defined from the original data,and the upper and lower limits of missing values are determined according to prior knowledge or existing data information.All missing data are randomly interpolated within the upper and lower limits.Then,the GMDH network is established to obtain the optimal complexity model,which is used to predict the missing data to replace the last imputed electricity consumption data.At last,this process is implemented iteratively until the missing values do not change.Under a relatively small noise level(α=0.25),the proposed approach achieves a maximum error of no more than 0.605%.Experimental findings demonstrate the efficacy and feasibility of the proposed approach,which realizes the transformation from incomplete data to complete data.Also,this proposed data interpolation approach provides a strong basis for the electricity theft diagnosis and metering fault analysis of electricity enterprises.展开更多
Developing multiplex sensing technique is of great significance for fast sample analysis.However,the broad emissions of most chemiluminescence(CL)luminophores make the multiplex CL analysis be difficult.In this work,a...Developing multiplex sensing technique is of great significance for fast sample analysis.However,the broad emissions of most chemiluminescence(CL)luminophores make the multiplex CL analysis be difficult.In this work,a simple and sensitive CL analytical method has been developed for the simultaneous determination of Tb^(3+)and Eu^(3+)thanking to their narrow band emission.The technique was based on a mixed CL system of periodate(IO4-)-hydrogen peroxide(H_(2)O_(2))-rare earth complexes,in which the reactive oxygen species(ROSs)especially singlet oxygen(^(1)O_(2))can transfer its energy to the complex of Tb^(3+)/Eu^(3+)-ethylenediaminetetraacetic acid disodium salt(EDTA)and then produce the characteristic emissions of Tb^(3+)and Eu^(3+)without cross-interference.The further experiment found that the CL emissions of Tb^(3+)and Eu^(3+)could be catalyzed by the gold nanoparticles(AuNPs)via enhancing the yield of^(1)O_(2).The CL intensities of Tb^(3+)(at 490 nm)and Eu^(3+)(at 620 nm)increased linearly with concentration of Tb^(3+)and Eu^(3+).After the optimization of the CL sensing conditions,the limits of detection(LOD)were 5.0×10^(-9)mol/L and 8.0×10^(-7)mol/L for Tb^(3+)and Eu^(3+),respectively.Finally,the method has been applied for measuring the contents of Tb^(3+)and Eu^(3+)in leaching solution of mine sample and Tb^(3+)/Eu^(3+)-contained nanomaterials with satisfactory results.The present system provides a new CL technique for multiplex sensing with simplicity and high sensitivity.展开更多
Proteomics is a new technology that has been widely applied in the field of life and health science.It effectively addresses issues related to the impact of dietary structure on organs,tissues,and cells,as well as the...Proteomics is a new technology that has been widely applied in the field of life and health science.It effectively addresses issues related to the impact of dietary structure on organs,tissues,and cells,as well as the changes in proteins in various organs,tissues,and cells under disease conditions.The differential proteins identified through proteomics can serve as disease biomarkers and target proteins affecting health and can be used for disease diagnosis and health regulation.In this paper,the application of proteomics in the field of infl ammation in recent years was summarized,especially in the therapeutic target and mechanism of action,which opens up a new way for more effective prevention,diagnosis,and treatment of inflammation,and provides medical protection for human life and health.展开更多
Hepatobiliary cancers are primarily categorized into hepatocellular carcinoma(HCC)and biliary tract cancers(BTC).HCC is one of the most common malignant cancers,with increasing global incidence.Immune checkpoint inhib...Hepatobiliary cancers are primarily categorized into hepatocellular carcinoma(HCC)and biliary tract cancers(BTC).HCC is one of the most common malignant cancers,with increasing global incidence.Immune checkpoint inhibitors(ICIs)have changed the approach of HCC management in recent years.The combination of atezolizumab and bevacizumab has surpassed sorafenib as the standard regimen for first-line treatment of advanced unresectable HCC.However,the optimal choice for second-line treatment after initial treatment with ICIs lacks clinical trial confirmation.In addition,limited clinical trial data on ICIs combined with locoregional and perioperative therapies have been reported.Unlike HCC,clinical studies have found that immunotherapy is effective only for BTC with specific molecular markers.Moreover,the molecular characteristics governing immune responses and evasion remain unclear.This review provides information on the application of immunotherapy for HCC and prospects over the next few years.In addition,current evidence from clinical trials of BTC has made BTC immunotherapy a research hotspot again.Based on the findings in the literature,future clinical trials are being planned.Furthermore,biomarkers used in immunotherapies for hepatobiliary cancers that may shed light on the management of these diseases in the future were discussed.展开更多
基金support from the National Natural Science Foundation of China(Grant Nos.52372083,52173255),the Collaborative Innovation Center for Advanced Micro/nanomaterials and Equipment(Co-constructed by Jiangsu Province and Ministry of Education)support from the Natural Science Foundation of Jiangsu Province,China(Grant No.BK20230538).
文摘Nucleation of lithium sulfide(Li_(2)S)induced by electrocatalysts plays a crucial role in mitigating the shut-tle effect.However,short-chain polysulfides on electrocatalysts surfaces tend to re-dissolve into elec-trolytes,delaying Li_(2)S supersaturation and its nucleation.In this study,we draw inspiration from the ribosome-driven protein synthesis process in cells to prepare ultrasmall nitrogen-doped MoS_(2) nanocrys-tals anchored on porous nitrogen-doped carbon networks(N-MoS_(2)-NC)electrocatalysts.Excitedly,the ex-situ SEM demonstrates that ribosome-inspired N-MoS_(2)-NC electrocatalysts induce early nucleation and rapid growth of three-dimensional Li_(2)s during discharge.Theoretical calculations reveal that the Li-s bond length in N-MoS_(2)-Li_(2)S(100)is shorter,and the corresponding interfacial formation energy is lower than in MoS_(2)-Li_(2)S(100).This accelerated conversion of lithium polysulfides to Li_(2)S can enhance the utilization of active substances and inhibit the shuttle effect.This study highlights the potential of ribosome-inspired N-MoS_(2)-NC in improving the electrochemical stability of Li-S batteries,providing valuable insights for future electrocatalyst design.
基金This research was funded by the National Nature Sciences Foundation of China(Grant No.42250410321).
文摘Missing value is one of the main factors that cause dirty data.Without high-quality data,there will be no reliable analysis results and precise decision-making.Therefore,the data warehouse needs to integrate high-quality data consistently.In the power system,the electricity consumption data of some large users cannot be normally collected resulting in missing data,which affects the calculation of power supply and eventually leads to a large error in the daily power line loss rate.For the problem of missing electricity consumption data,this study proposes a group method of data handling(GMDH)based data interpolation method in distribution power networks and applies it in the analysis of actually collected electricity data.First,the dependent and independent variables are defined from the original data,and the upper and lower limits of missing values are determined according to prior knowledge or existing data information.All missing data are randomly interpolated within the upper and lower limits.Then,the GMDH network is established to obtain the optimal complexity model,which is used to predict the missing data to replace the last imputed electricity consumption data.At last,this process is implemented iteratively until the missing values do not change.Under a relatively small noise level(α=0.25),the proposed approach achieves a maximum error of no more than 0.605%.Experimental findings demonstrate the efficacy and feasibility of the proposed approach,which realizes the transformation from incomplete data to complete data.Also,this proposed data interpolation approach provides a strong basis for the electricity theft diagnosis and metering fault analysis of electricity enterprises.
基金the financial support from the Sichuan Science and Technology Project(No.2022NSFSC1087)the Project of State Key Laboratory of Supramolecular Structure and Materials(No.sklssm2022034)。
文摘Developing multiplex sensing technique is of great significance for fast sample analysis.However,the broad emissions of most chemiluminescence(CL)luminophores make the multiplex CL analysis be difficult.In this work,a simple and sensitive CL analytical method has been developed for the simultaneous determination of Tb^(3+)and Eu^(3+)thanking to their narrow band emission.The technique was based on a mixed CL system of periodate(IO4-)-hydrogen peroxide(H_(2)O_(2))-rare earth complexes,in which the reactive oxygen species(ROSs)especially singlet oxygen(^(1)O_(2))can transfer its energy to the complex of Tb^(3+)/Eu^(3+)-ethylenediaminetetraacetic acid disodium salt(EDTA)and then produce the characteristic emissions of Tb^(3+)and Eu^(3+)without cross-interference.The further experiment found that the CL emissions of Tb^(3+)and Eu^(3+)could be catalyzed by the gold nanoparticles(AuNPs)via enhancing the yield of^(1)O_(2).The CL intensities of Tb^(3+)(at 490 nm)and Eu^(3+)(at 620 nm)increased linearly with concentration of Tb^(3+)and Eu^(3+).After the optimization of the CL sensing conditions,the limits of detection(LOD)were 5.0×10^(-9)mol/L and 8.0×10^(-7)mol/L for Tb^(3+)and Eu^(3+),respectively.Finally,the method has been applied for measuring the contents of Tb^(3+)and Eu^(3+)in leaching solution of mine sample and Tb^(3+)/Eu^(3+)-contained nanomaterials with satisfactory results.The present system provides a new CL technique for multiplex sensing with simplicity and high sensitivity.
基金funded by National Key R&D Program of China(2022YFF1100300).
文摘Proteomics is a new technology that has been widely applied in the field of life and health science.It effectively addresses issues related to the impact of dietary structure on organs,tissues,and cells,as well as the changes in proteins in various organs,tissues,and cells under disease conditions.The differential proteins identified through proteomics can serve as disease biomarkers and target proteins affecting health and can be used for disease diagnosis and health regulation.In this paper,the application of proteomics in the field of infl ammation in recent years was summarized,especially in the therapeutic target and mechanism of action,which opens up a new way for more effective prevention,diagnosis,and treatment of inflammation,and provides medical protection for human life and health.
基金This work was supported by Beijing Natural Science Foundation(7222021)the Major Program of National Natural Science Foundation of China(91959205)Wu Jieping Medical Foundation(320.6750.2021-02-15).
文摘Hepatobiliary cancers are primarily categorized into hepatocellular carcinoma(HCC)and biliary tract cancers(BTC).HCC is one of the most common malignant cancers,with increasing global incidence.Immune checkpoint inhibitors(ICIs)have changed the approach of HCC management in recent years.The combination of atezolizumab and bevacizumab has surpassed sorafenib as the standard regimen for first-line treatment of advanced unresectable HCC.However,the optimal choice for second-line treatment after initial treatment with ICIs lacks clinical trial confirmation.In addition,limited clinical trial data on ICIs combined with locoregional and perioperative therapies have been reported.Unlike HCC,clinical studies have found that immunotherapy is effective only for BTC with specific molecular markers.Moreover,the molecular characteristics governing immune responses and evasion remain unclear.This review provides information on the application of immunotherapy for HCC and prospects over the next few years.In addition,current evidence from clinical trials of BTC has made BTC immunotherapy a research hotspot again.Based on the findings in the literature,future clinical trials are being planned.Furthermore,biomarkers used in immunotherapies for hepatobiliary cancers that may shed light on the management of these diseases in the future were discussed.