Aralia taibaiensi,widely distributed in western China,particularly in the Qinba Mountains,has been utilized as a folk medicine for treating diabetes,gastropathy,rheumatism,and cardiovascular diseases.Saponins from A.t...Aralia taibaiensi,widely distributed in western China,particularly in the Qinba Mountains,has been utilized as a folk medicine for treating diabetes,gastropathy,rheumatism,and cardiovascular diseases.Saponins from A.taibaiensis(sAT)have demonstrated protective effects against oxidative stress and mitochondrial dysfunction induced by ischemia/reperfusion(I/R).However,the underlying mechanisms remain unclear.In vivo,middle cerebral artery occlusion/reperfusion(MCAO/R)induced inflammatory infiltration,neuronal injury,cell apoptosis,mitochondrial dysfunction,and oxidative stress in the ischaemic penumbra,which were effectively mitigated by sAT.sAT increased the mRNA and protein expression levels of apelin and its receptor apelin/apelin receptors(ARs)both in vivo and in vitro.(Ala13)-Apelin-13(F13A)and small interfering RNA(siRNA)abolished the regulatory effects of sAT on neuroprotection mediated by adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK)/protein kinase B(Akt).Furthermore,sAT induced apelin/AR expression by simultaneously inhibiting P38 mitogen-activated protein kinase(P38 MAPK)/activating transcription factor 4(ATF4)and upregulating hypoxia-inducible factor-1α(HIF-1α).Our findings indicate that sAT regulates apelin/AR/AMPK by inhibiting P38 MAPK/ATF4 and upregulating HIF-1a,thereby suppressing oxidative stress and mitochondrial dysfunction.展开更多
In the pursuit of high-performance proton exchange membrane fuel cells(PEMFCs),obtaining durable Pt-based intermetallic catalysts with small particle sizes for oxygen reduction reaction(ORR)stands as a crucial yet cha...In the pursuit of high-performance proton exchange membrane fuel cells(PEMFCs),obtaining durable Pt-based intermetallic catalysts with small particle sizes for oxygen reduction reaction(ORR)stands as a crucial yet challenging topic.Herein,we propose an idea of catalyst design utilizing Fe-phenanthroline(Phen)complex as precursor to integrate metal-nitrogen-carbon(M-N-C)with the strong anchoring effect into carbon shells,synthesizing highly ordered and small-sized(3.59 nm)PtFe intermetallic catalyst coated with iron-nitrogen-carbon(FeNC)shells(L1_(0)-PtFe@FeNC).The strong Fe-Phen interaction ensures the uniform dispersion of Fe species on Pt seeds so as to form protective shells suppressing the agglomeration and dissolution of PtFe nanoparticles(NPs)under the high-temperature annealing or harsh operational conditions.It exhibits excellent mass activity(MA)that is about five-fold increase compared to the commercial Pt/C,as well as the significantly improved MA retention after 30,000 potential cycles(68.2%vs.45.3%).Nitrogen-doped carbon(NC)shells and pure carbon(C)shells are used as comparison to demonstrate the advantages of FeNC shells.Durability test results show that NC and C shells obviously degrade after potential cycles,while well-preserved FeNC shells guarantee catalyst stability.Theoretical calculations reveal that the strong binding between FeNC shells and the Pt surface enhances the stability of both the nanoparticles and the FeNC shells.展开更多
Edge-computing-enabled smart greenhouses are a representative application of the Internet of Things(IoT)technology,which can monitor the environmental information in real-time and employ the information to contribute ...Edge-computing-enabled smart greenhouses are a representative application of the Internet of Things(IoT)technology,which can monitor the environmental information in real-time and employ the information to contribute to intelligent decision-making.In the process,anomaly detection for wireless sensor data plays an important role.However,the traditional anomaly detection algorithms originally designed for anomaly detection in static data do not properly consider the inherent characteristics of the data stream produced by wireless sensors such as infiniteness,correlations,and concept drift,which may pose a considerable challenge to anomaly detection based on data stream and lead to low detection accuracy and efficiency.First,the data stream is usually generated quickly,which means that the data stream is infinite and enormous.Hence,any traditional off-line anomaly detection algorithm that attempts to store the whole dataset or to scan the dataset multiple times for anomaly detection will run out of memory space.Second,there exist correlations among different data streams,and traditional algorithms hardly consider these correlations.Third,the underlying data generation process or distribution may change over time.Thus,traditional anomaly detection algorithms with no model update will lose their effects.Considering these issues,a novel method(called DLSHiForest)based on Locality-Sensitive Hashing and the time window technique is proposed to solve these problems while achieving accurate and efficient detection.Comprehensive experiments are executed using a real-world agricultural greenhouse dataset to demonstrate the feasibility of our approach.Experimental results show that our proposal is practical for addressing the challenges of traditional anomaly detection while ensuring accuracy and efficiency.展开更多
Chikungunya virus(CHIKV)is a re-emerging mosquito-transmitted RNA virus causing joint and muscle pain.To better understand how CHIKV rewires the host cell and usurps host cell functions,we generated a systematic CHIKV...Chikungunya virus(CHIKV)is a re-emerging mosquito-transmitted RNA virus causing joint and muscle pain.To better understand how CHIKV rewires the host cell and usurps host cell functions,we generated a systematic CHIKV-human protein-protein interaction map and revealed several novel connections that will inform further mechanistic studies.One of these novel interactions,between the viral protein E1 and STIP1 homology and U-box containing protein 1(STUB1),was found to mediate ubiquitination of E1 and degrade E1 through the proteasome.Capsid associated with G3BP1,G3BP2 and AAAþATPase valosin-containing protein(VCP).Furthermore,VCP inhibitors blocked CHIKV infection,suggesting VCP could serve as a therapeutic target.Further work is required to fully understand the functional consequences of these interactions.Given that CHIKV proteins are conserved across alphaviruses,many virus-host protein-protein interactions identified in this study might also exist in other alphaviruses.Construction of interactome of CHIKV provides the basis for further studying the function of alphavirus biology.展开更多
The specific energy of Li metal batteries(LMBs)can be improved by using high‐voltage cathode materials;however,achieving long‐term stable cycling performance in the corresponding system is particularly challenging f...The specific energy of Li metal batteries(LMBs)can be improved by using high‐voltage cathode materials;however,achieving long‐term stable cycling performance in the corresponding system is particularly challenging for the liquid electrolyte.Herein,a novel pseudo‐oversaturated electrolyte(POSE)is prepared by introducing 1,1,2,2‐tetrafluoroethyl‐2,2,3,3‐tetrafluoropropyl ether(TTE)to adjust the coordination structure between diglyme(G2)and lithium bis(trifluoromethanesulfonyl)imide(LiTFSI).Surprisingly,although TTE shows little solubility to LiTFSI,the molar ratio between LiTFSI and G2 in the POSE can be increased to 1:1,which is much higher than that of the saturation state,1:2.8.Simulation and experimental results prove that TTE promotes closer contact of the G2 molecular with Li^(+)in the POSE.Moreover,it also participates in the formation of electrolyte/electrode interphases.The electrolyte shows outstanding compatibility with both the Li metal anode and typical high‐voltage cathodes.Li||Li symmetric cells show a long life of more than 2000 h at 1 mA cm^(−2),1 mAh cm^(−2).In the meantime,Li||LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2)(NCM811)cell with the POSE shows a high reversible capacity of 134.8 mAh g^(−1 )after 900 cycles at 4.5 V,1 C rate.The concept of POSE can provide new insight into the Li^(+)solvation structure and in the design of advanced electrolytes for LMBs.展开更多
Labeled data is widely used in various classification tasks.However,there is a huge challenge that labels are often added artificially.Wrong labels added by malicious users will affect the training effect of the model...Labeled data is widely used in various classification tasks.However,there is a huge challenge that labels are often added artificially.Wrong labels added by malicious users will affect the training effect of the model.The unreliability of labeled data has hindered the research.In order to solve the above problems,we propose a framework of Label Noise Filtering and Missing Label Supplement(LNFS).And we take location labels in Location-Based Social Networks(LBSN)as an example to implement our framework.For the problem of label noise filtering,we first use FastText to transform the restaurant's labels into vectors,and then based on the assumption that the label most similar to all other labels in the location is most representative.We use cosine similarity to judge and select the most representative label.For the problem of label missing,we use simple common word similarity to judge the similarity of users'comments,and then use the label of the similar restaurant to supplement the missing labels.To optimize the performance of the model,we introduce game theory into our model to simulate the game between the malicious users and the model to improve the reliability of the model.Finally,a case study is given to illustrate the effectiveness and reliability of LNFS.展开更多
In the digital era,social media platforms play a crucial role in forming user communities,yet the challenge of protecting user privacy remains paramount.This paper proposes a novel framework for identifying and analyz...In the digital era,social media platforms play a crucial role in forming user communities,yet the challenge of protecting user privacy remains paramount.This paper proposes a novel framework for identifying and analyzing user communities within social media networks,emphasizing privacy protection.In detail,we implement a social media-driven user community finding approach with hashing named MCF to ensure that the extracted information cannot be traced back to specific users,thereby maintaining confidentiality.Finally,we design a set of experiments to verify the effectiveness and efficiency of our proposed MCF approach by comparing it with other existing approaches,demonstrating its effectiveness in community detection while upholding stringent privacy standards.This research contributes to the growing field of social network analysis by providing a balanced solution that respects user privacy while uncovering valuable insights into community dynamics on social media platforms.展开更多
B cell response plays a critical role against SARS-CoV-2 infection.However,little is known about the diversity and frequency of the paired SARS-CoV-2 antigen-specific BCR repertoire after SARS-CoV-2 infection.Here,we ...B cell response plays a critical role against SARS-CoV-2 infection.However,little is known about the diversity and frequency of the paired SARS-CoV-2 antigen-specific BCR repertoire after SARS-CoV-2 infection.Here,we performed single-cell RNA sequencing and VDJ sequencing using the memory and plasma B cells isolated from five convalescent COVID-19 patients,and analyzed the spectrum and transcriptional heterogeneity of antibody immune responses.Via linking BCR to antigen specificity through sequencing(LIBRA-seq),we identified a distinct activated memory B cell subgroup(CD11c^(high) CD95^(high))had a higher proportion of SARS-CoV-2 antigen-labeled cells compared with memory B cells.Our results revealed the diversity of paired BCR repertoire and the non-stochastic pairing of SARS-CoV-2 antigen-specific immunoglobulin heavy and light chains after SARS-CoV-2 infection.The public antibody clonotypes were shared by distinct convalescent individuals.Moreover,several antibodies isolated by LIBRA-seq showed high binding affinity against SARS-CoV-2 receptor-binding domain(RBD)or nucleoprotein(NP)via ELISA assay.Two RBD-reactive antibodies C14646P3S and C2767P3S isolated by LIBRA-seq exhibited high neutralizing activities against both pseudotyped and authentic SARS-CoV-2 viruses in vitro.Our study provides fundamental insights into B cell response following SARS-CoV-2 infection at the single-cell level.展开更多
We present a conceptual framework for understanding and formulating ion transport in concentrated solutions, which pictures the ion transport as an ion-vacancy coupled charge transfer reaction. A key element in this p...We present a conceptual framework for understanding and formulating ion transport in concentrated solutions, which pictures the ion transport as an ion-vacancy coupled charge transfer reaction. A key element in this picture is that the transport of an ion from an occupied to unoccupied site involves a transition state which exerts double volume exclusion. An ab initio random walk model is proposed to describe this process. Subsequent coarse-graining results in a continuum formula as a function of chemical potentials of the constituents, which are further derived from a lattice-gas model. The subtlety here is that what has been taken to be the chemical potential of the ion in the past is actually that of the ion-vacancy couple. By aid of this new concept, the driving force of ion transport is essentially the chemical affinity of the ion-vacancy coupled charge transfer reaction, which is a useful concept to unify transport and reaction, two fundamental processes in electrochemistry. This phenomenological model is parameterized for a specific material by the aid of first-principles calculations. Moreover, its extension to multiple-component systems is discussed.展开更多
基金supported by the National Science Foundation of China(No.81903832),the Key Research and Development Plan of Shaanxi Province(No.2022SF-182),the Fundamental Research Funds for the Central Universities(No.D5000210799)Shaanxi Provincial Traditional Chinese Medicine Administration"Double Chain Integration"Middle Youth Research and Innovation Team Project(No.2022-SLRH-LJ-007)Shanghai Science and Technology Innovation Action Plan(No.22S21902600).
文摘Aralia taibaiensi,widely distributed in western China,particularly in the Qinba Mountains,has been utilized as a folk medicine for treating diabetes,gastropathy,rheumatism,and cardiovascular diseases.Saponins from A.taibaiensis(sAT)have demonstrated protective effects against oxidative stress and mitochondrial dysfunction induced by ischemia/reperfusion(I/R).However,the underlying mechanisms remain unclear.In vivo,middle cerebral artery occlusion/reperfusion(MCAO/R)induced inflammatory infiltration,neuronal injury,cell apoptosis,mitochondrial dysfunction,and oxidative stress in the ischaemic penumbra,which were effectively mitigated by sAT.sAT increased the mRNA and protein expression levels of apelin and its receptor apelin/apelin receptors(ARs)both in vivo and in vitro.(Ala13)-Apelin-13(F13A)and small interfering RNA(siRNA)abolished the regulatory effects of sAT on neuroprotection mediated by adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK)/protein kinase B(Akt).Furthermore,sAT induced apelin/AR expression by simultaneously inhibiting P38 mitogen-activated protein kinase(P38 MAPK)/activating transcription factor 4(ATF4)and upregulating hypoxia-inducible factor-1α(HIF-1α).Our findings indicate that sAT regulates apelin/AR/AMPK by inhibiting P38 MAPK/ATF4 and upregulating HIF-1a,thereby suppressing oxidative stress and mitochondrial dysfunction.
文摘In the pursuit of high-performance proton exchange membrane fuel cells(PEMFCs),obtaining durable Pt-based intermetallic catalysts with small particle sizes for oxygen reduction reaction(ORR)stands as a crucial yet challenging topic.Herein,we propose an idea of catalyst design utilizing Fe-phenanthroline(Phen)complex as precursor to integrate metal-nitrogen-carbon(M-N-C)with the strong anchoring effect into carbon shells,synthesizing highly ordered and small-sized(3.59 nm)PtFe intermetallic catalyst coated with iron-nitrogen-carbon(FeNC)shells(L1_(0)-PtFe@FeNC).The strong Fe-Phen interaction ensures the uniform dispersion of Fe species on Pt seeds so as to form protective shells suppressing the agglomeration and dissolution of PtFe nanoparticles(NPs)under the high-temperature annealing or harsh operational conditions.It exhibits excellent mass activity(MA)that is about five-fold increase compared to the commercial Pt/C,as well as the significantly improved MA retention after 30,000 potential cycles(68.2%vs.45.3%).Nitrogen-doped carbon(NC)shells and pure carbon(C)shells are used as comparison to demonstrate the advantages of FeNC shells.Durability test results show that NC and C shells obviously degrade after potential cycles,while well-preserved FeNC shells guarantee catalyst stability.Theoretical calculations reveal that the strong binding between FeNC shells and the Pt surface enhances the stability of both the nanoparticles and the FeNC shells.
基金supported in part by the Fundamental Research Funds for the Central Universities under Grant No.30919011282.
文摘Edge-computing-enabled smart greenhouses are a representative application of the Internet of Things(IoT)technology,which can monitor the environmental information in real-time and employ the information to contribute to intelligent decision-making.In the process,anomaly detection for wireless sensor data plays an important role.However,the traditional anomaly detection algorithms originally designed for anomaly detection in static data do not properly consider the inherent characteristics of the data stream produced by wireless sensors such as infiniteness,correlations,and concept drift,which may pose a considerable challenge to anomaly detection based on data stream and lead to low detection accuracy and efficiency.First,the data stream is usually generated quickly,which means that the data stream is infinite and enormous.Hence,any traditional off-line anomaly detection algorithm that attempts to store the whole dataset or to scan the dataset multiple times for anomaly detection will run out of memory space.Second,there exist correlations among different data streams,and traditional algorithms hardly consider these correlations.Third,the underlying data generation process or distribution may change over time.Thus,traditional anomaly detection algorithms with no model update will lose their effects.Considering these issues,a novel method(called DLSHiForest)based on Locality-Sensitive Hashing and the time window technique is proposed to solve these problems while achieving accurate and efficient detection.Comprehensive experiments are executed using a real-world agricultural greenhouse dataset to demonstrate the feasibility of our approach.Experimental results show that our proposal is practical for addressing the challenges of traditional anomaly detection while ensuring accuracy and efficiency.
基金supported by National Natural Science Foundation of China (82072270 and 82272306)Taishan Scholars Program (tstp20221142)+1 种基金Shandong Provincial Natural Science Foundation (ZR2021QC095)Academic Promotion Programme of Shandong First Medical University (2019LJ001).
文摘Chikungunya virus(CHIKV)is a re-emerging mosquito-transmitted RNA virus causing joint and muscle pain.To better understand how CHIKV rewires the host cell and usurps host cell functions,we generated a systematic CHIKV-human protein-protein interaction map and revealed several novel connections that will inform further mechanistic studies.One of these novel interactions,between the viral protein E1 and STIP1 homology and U-box containing protein 1(STUB1),was found to mediate ubiquitination of E1 and degrade E1 through the proteasome.Capsid associated with G3BP1,G3BP2 and AAAþATPase valosin-containing protein(VCP).Furthermore,VCP inhibitors blocked CHIKV infection,suggesting VCP could serve as a therapeutic target.Further work is required to fully understand the functional consequences of these interactions.Given that CHIKV proteins are conserved across alphaviruses,many virus-host protein-protein interactions identified in this study might also exist in other alphaviruses.Construction of interactome of CHIKV provides the basis for further studying the function of alphavirus biology.
基金Subsidy for Hebei Key Laboratory of Applied Chemistry after Operation Performance,Grant/Award Number:22567616HNatural Science Foundation of Hebei Province of China,Grant/Award Number:B2020103028+3 种基金Science Fund for Creative Research Groups of the National Natural Science Foundation of China,Grant/Award Number:21921005National Key Research and Development Program of China,Grant/Award Number:2021YFB2400300Beijing Municipal Natural Science Foundation Project,Grant/Award Number:2222031National Natural Science Foundation of China,Grant/Award Numbers:52174281,21808228。
文摘The specific energy of Li metal batteries(LMBs)can be improved by using high‐voltage cathode materials;however,achieving long‐term stable cycling performance in the corresponding system is particularly challenging for the liquid electrolyte.Herein,a novel pseudo‐oversaturated electrolyte(POSE)is prepared by introducing 1,1,2,2‐tetrafluoroethyl‐2,2,3,3‐tetrafluoropropyl ether(TTE)to adjust the coordination structure between diglyme(G2)and lithium bis(trifluoromethanesulfonyl)imide(LiTFSI).Surprisingly,although TTE shows little solubility to LiTFSI,the molar ratio between LiTFSI and G2 in the POSE can be increased to 1:1,which is much higher than that of the saturation state,1:2.8.Simulation and experimental results prove that TTE promotes closer contact of the G2 molecular with Li^(+)in the POSE.Moreover,it also participates in the formation of electrolyte/electrode interphases.The electrolyte shows outstanding compatibility with both the Li metal anode and typical high‐voltage cathodes.Li||Li symmetric cells show a long life of more than 2000 h at 1 mA cm^(−2),1 mAh cm^(−2).In the meantime,Li||LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2)(NCM811)cell with the POSE shows a high reversible capacity of 134.8 mAh g^(−1 )after 900 cycles at 4.5 V,1 C rate.The concept of POSE can provide new insight into the Li^(+)solvation structure and in the design of advanced electrolytes for LMBs.
基金supported by the National Natural Science Foundation of China(No.61872219)the Natural Science Foundation of Shandong Province(ZR2019MF001).
文摘Labeled data is widely used in various classification tasks.However,there is a huge challenge that labels are often added artificially.Wrong labels added by malicious users will affect the training effect of the model.The unreliability of labeled data has hindered the research.In order to solve the above problems,we propose a framework of Label Noise Filtering and Missing Label Supplement(LNFS).And we take location labels in Location-Based Social Networks(LBSN)as an example to implement our framework.For the problem of label noise filtering,we first use FastText to transform the restaurant's labels into vectors,and then based on the assumption that the label most similar to all other labels in the location is most representative.We use cosine similarity to judge and select the most representative label.For the problem of label missing,we use simple common word similarity to judge the similarity of users'comments,and then use the label of the similar restaurant to supplement the missing labels.To optimize the performance of the model,we introduce game theory into our model to simulate the game between the malicious users and the model to improve the reliability of the model.Finally,a case study is given to illustrate the effectiveness and reliability of LNFS.
基金partially supported by the China Postdoctoral Science Foundation(No.2023M731951).
文摘In the digital era,social media platforms play a crucial role in forming user communities,yet the challenge of protecting user privacy remains paramount.This paper proposes a novel framework for identifying and analyzing user communities within social media networks,emphasizing privacy protection.In detail,we implement a social media-driven user community finding approach with hashing named MCF to ensure that the extracted information cannot be traced back to specific users,thereby maintaining confidentiality.Finally,we design a set of experiments to verify the effectiveness and efficiency of our proposed MCF approach by comparing it with other existing approaches,demonstrating its effectiveness in community detection while upholding stringent privacy standards.This research contributes to the growing field of social network analysis by providing a balanced solution that respects user privacy while uncovering valuable insights into community dynamics on social media platforms.
基金supported by National Natural Science Foundation of China(31970881)and(82041046)to Y.Q.C.Shenzhen Science and Technology Program under Grant(JCYJ20190807154603596 and JCYJ20200109142438111)+2 种基金the National Key Research and Development Project(2020YFC0841700)to M.W.the National Natural Science Foundation of China(32041002)to D.Y.G.the Special Fund for COVID-19 Epidemic Prevention&Control of Zhuhai City of China granted to S.D.C.
文摘B cell response plays a critical role against SARS-CoV-2 infection.However,little is known about the diversity and frequency of the paired SARS-CoV-2 antigen-specific BCR repertoire after SARS-CoV-2 infection.Here,we performed single-cell RNA sequencing and VDJ sequencing using the memory and plasma B cells isolated from five convalescent COVID-19 patients,and analyzed the spectrum and transcriptional heterogeneity of antibody immune responses.Via linking BCR to antigen specificity through sequencing(LIBRA-seq),we identified a distinct activated memory B cell subgroup(CD11c^(high) CD95^(high))had a higher proportion of SARS-CoV-2 antigen-labeled cells compared with memory B cells.Our results revealed the diversity of paired BCR repertoire and the non-stochastic pairing of SARS-CoV-2 antigen-specific immunoglobulin heavy and light chains after SARS-CoV-2 infection.The public antibody clonotypes were shared by distinct convalescent individuals.Moreover,several antibodies isolated by LIBRA-seq showed high binding affinity against SARS-CoV-2 receptor-binding domain(RBD)or nucleoprotein(NP)via ELISA assay.Two RBD-reactive antibodies C14646P3S and C2767P3S isolated by LIBRA-seq exhibited high neutralizing activities against both pseudotyped and authentic SARS-CoV-2 viruses in vitro.Our study provides fundamental insights into B cell response following SARS-CoV-2 infection at the single-cell level.
基金supported by the National Natural Science Foundation of China (21673163, 21832004, 21802170)financial support from Central South University (502045001, 20180020050002)
文摘We present a conceptual framework for understanding and formulating ion transport in concentrated solutions, which pictures the ion transport as an ion-vacancy coupled charge transfer reaction. A key element in this picture is that the transport of an ion from an occupied to unoccupied site involves a transition state which exerts double volume exclusion. An ab initio random walk model is proposed to describe this process. Subsequent coarse-graining results in a continuum formula as a function of chemical potentials of the constituents, which are further derived from a lattice-gas model. The subtlety here is that what has been taken to be the chemical potential of the ion in the past is actually that of the ion-vacancy couple. By aid of this new concept, the driving force of ion transport is essentially the chemical affinity of the ion-vacancy coupled charge transfer reaction, which is a useful concept to unify transport and reaction, two fundamental processes in electrochemistry. This phenomenological model is parameterized for a specific material by the aid of first-principles calculations. Moreover, its extension to multiple-component systems is discussed.
