As an effective strategy to address urban traffic congestion,traffic flow prediction has gained attention from Federated-Learning(FL)researchers due FL’s ability to preserving data privacy.However,existing methods fa...As an effective strategy to address urban traffic congestion,traffic flow prediction has gained attention from Federated-Learning(FL)researchers due FL’s ability to preserving data privacy.However,existing methods face challenges:some are too simplistic to capture complex traffic patterns effectively,and others are overly complex,leading to excessive communication overhead between cloud and edge devices.Moreover,the problem of single point failure limits their robustness and reliability in real-world applications.To tackle these challenges,this paper proposes a new method,CMBA-FL,a Communication-Mitigated and Blockchain-Assisted Federated Learning model.First,CMBA-FL improves the client model’s ability to capture temporal traffic patterns by employing the Encoder-Decoder framework for each edge device.Second,to reduce the communication overhead during federated learning,we introduce a verification method based on parameter update consistency,avoiding unnecessary parameter updates.Third,to mitigate the risk of a single point of failure,we integrate consensus mechanisms from blockchain technology.To validate the effectiveness of CMBA-FL,we assess its performance on two widely used traffic datasets.Our experimental results show that CMBA-FL reduces prediction error by 11.46%,significantly lowers communication overhead,and improves security.展开更多
The paper is designed to research the translation practice of Divided We Stand from the perspective of Translator Behavior Criticism.Thus,the paper uses the tools of degree of truth-seeking,degree of utility and degre...The paper is designed to research the translation practice of Divided We Stand from the perspective of Translator Behavior Criticism.Thus,the paper uses the tools of degree of truth-seeking,degree of utility and degree of rationality under the macro-guidance of Truth-seeking-Utility-attaining evaluative model of continuum.Specifically from the perspective of intra-translation,extra-translation and non-translation,the paper research and evaluate the translation practice.展开更多
In the age of big data,plenty of valuable data have been shared to enhance scientific innovation,which,however,may disclose unexpected privacy leakage.Although numerous privacy preservation techniques have been propos...In the age of big data,plenty of valuable data have been shared to enhance scientific innovation,which,however,may disclose unexpected privacy leakage.Although numerous privacy preservation techniques have been proposed to conceal sensitive information,it is usually at the cost of the application utility reduction.In this paper,we present a data sharing scheme,which balances the application utility and privacy leakage for specific data sharing.To illustrate our scheme,smartphones’acceleration data have been adopted as an illustrative example.Experimental study has shown that sampling frequency play dominant roles in reducing privacy leakage with much less reduction on utility.展开更多
We analyzed two-loop planar contributions to a three-body form factor at next-to-leading power in the high-energy limit,where the masses of the external particles are much smaller than their energies.Calculations were...We analyzed two-loop planar contributions to a three-body form factor at next-to-leading power in the high-energy limit,where the masses of the external particles are much smaller than their energies.Calculations were performed by exploiting differential equations for the expansion coefficients,both to facilitate linear relations among them and to derive their analytic expressions.The results are expressed in terms of generalized polylogarithms involving a few simple symbol letters.Our method can readily be applied to calculations of non-planar contributions as well.Our results provide crucial information for establishing sub-leading factorization theorems for massive scattering amplitudes in the high-energy limit.展开更多
Reserve allocation is a significant problem faced by commercial banking businesses every day. To satisfy the cash requirement of customers and abate the vault cash pressure, commercial banks need to appropriately allo...Reserve allocation is a significant problem faced by commercial banking businesses every day. To satisfy the cash requirement of customers and abate the vault cash pressure, commercial banks need to appropriately allocate reserves for each bank outlet. Excessive reserve would impact the revenue of bank outlets. Low reserves cannot guarantee the successful operation of bank outlets. Considering the reserve requirement is effected by the past cash balance, we deal the reserve allocation problem as a time series prediction problem, and the Long Short Time Memory(LSTM) network is adapted to solve it. In addition, the proposed LSTM prediction model regards date property, which can affect the cash balance, as a primary factor. The experiment results show that our method outperforms some existing traditional methods.展开更多
Elevated O-GlcNAcylation has been shown to be closely correlated with the occurrence and development of cancer,and inhibiting O-GlcNAc transferase(OGT)activity was demonstrated as a potential tumor treatment strategy....Elevated O-GlcNAcylation has been shown to be closely correlated with the occurrence and development of cancer,and inhibiting O-GlcNAc transferase(OGT)activity was demonstrated as a potential tumor treatment strategy.However,the development of pharmacological OGT inhibitors still faces challenges,such as low affinity and poor selectivity.Consider-ing to OGT preferences for the sequence of its peptidic substrates,we herein integrated molecular dynamics simulation approaches to give deep insights into the binding behaviors between OGT and its peptidic substrate ZO3S1,and discussed the unfavorable inter-residue contacts inside the binding pocket,especially between H509 of OGT and S15 of the peptide,upon temperature increase.Removing this unfavorable contact from the peptide(ZO3S1 with S15A mutation)was shown to be able to increase its interaction with OGT,which was manifested by the enhanced OGT activity against this peptide.The pseudo-substrate peptide(ZO3S1 with S13A and S15A mutations)inhibited the activity of purified OGT with an IC_(50)of 192.9μM and it can also inhibit the total O-GlcNAcylation in cancer cell lines in a concentration-dependent manner.Our results provided useful models and basis for further rational optimization of selective OGT inhibitors based on the dynamic interactions of OGT and its peptidic substrates.展开更多
基金supported by the National Natural Science Foundation of China under Grant No.U20A20182.
文摘As an effective strategy to address urban traffic congestion,traffic flow prediction has gained attention from Federated-Learning(FL)researchers due FL’s ability to preserving data privacy.However,existing methods face challenges:some are too simplistic to capture complex traffic patterns effectively,and others are overly complex,leading to excessive communication overhead between cloud and edge devices.Moreover,the problem of single point failure limits their robustness and reliability in real-world applications.To tackle these challenges,this paper proposes a new method,CMBA-FL,a Communication-Mitigated and Blockchain-Assisted Federated Learning model.First,CMBA-FL improves the client model’s ability to capture temporal traffic patterns by employing the Encoder-Decoder framework for each edge device.Second,to reduce the communication overhead during federated learning,we introduce a verification method based on parameter update consistency,avoiding unnecessary parameter updates.Third,to mitigate the risk of a single point of failure,we integrate consensus mechanisms from blockchain technology.To validate the effectiveness of CMBA-FL,we assess its performance on two widely used traffic datasets.Our experimental results show that CMBA-FL reduces prediction error by 11.46%,significantly lowers communication overhead,and improves security.
文摘The paper is designed to research the translation practice of Divided We Stand from the perspective of Translator Behavior Criticism.Thus,the paper uses the tools of degree of truth-seeking,degree of utility and degree of rationality under the macro-guidance of Truth-seeking-Utility-attaining evaluative model of continuum.Specifically from the perspective of intra-translation,extra-translation and non-translation,the paper research and evaluate the translation practice.
文摘In the age of big data,plenty of valuable data have been shared to enhance scientific innovation,which,however,may disclose unexpected privacy leakage.Although numerous privacy preservation techniques have been proposed to conceal sensitive information,it is usually at the cost of the application utility reduction.In this paper,we present a data sharing scheme,which balances the application utility and privacy leakage for specific data sharing.To illustrate our scheme,smartphones’acceleration data have been adopted as an illustrative example.Experimental study has shown that sampling frequency play dominant roles in reducing privacy leakage with much less reduction on utility.
基金Supported in part by the National Natural Science Foundation of China Sunder(12375097,12347103)the Fundamental Research Funds for the Central Universities+1 种基金supported by the China Postdoctoral Science Foundation(2023M733123,2023TQ0282)the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation。
文摘We analyzed two-loop planar contributions to a three-body form factor at next-to-leading power in the high-energy limit,where the masses of the external particles are much smaller than their energies.Calculations were performed by exploiting differential equations for the expansion coefficients,both to facilitate linear relations among them and to derive their analytic expressions.The results are expressed in terms of generalized polylogarithms involving a few simple symbol letters.Our method can readily be applied to calculations of non-planar contributions as well.Our results provide crucial information for establishing sub-leading factorization theorems for massive scattering amplitudes in the high-energy limit.
文摘Reserve allocation is a significant problem faced by commercial banking businesses every day. To satisfy the cash requirement of customers and abate the vault cash pressure, commercial banks need to appropriately allocate reserves for each bank outlet. Excessive reserve would impact the revenue of bank outlets. Low reserves cannot guarantee the successful operation of bank outlets. Considering the reserve requirement is effected by the past cash balance, we deal the reserve allocation problem as a time series prediction problem, and the Long Short Time Memory(LSTM) network is adapted to solve it. In addition, the proposed LSTM prediction model regards date property, which can affect the cash balance, as a primary factor. The experiment results show that our method outperforms some existing traditional methods.
基金supported by the National Natural Science Foundation of China(No.21907038)supported by the basic research program of Jiangnan university(No.JUSRP12016)the innovation and entrepreneurship program of Jiangsu province.
文摘Elevated O-GlcNAcylation has been shown to be closely correlated with the occurrence and development of cancer,and inhibiting O-GlcNAc transferase(OGT)activity was demonstrated as a potential tumor treatment strategy.However,the development of pharmacological OGT inhibitors still faces challenges,such as low affinity and poor selectivity.Consider-ing to OGT preferences for the sequence of its peptidic substrates,we herein integrated molecular dynamics simulation approaches to give deep insights into the binding behaviors between OGT and its peptidic substrate ZO3S1,and discussed the unfavorable inter-residue contacts inside the binding pocket,especially between H509 of OGT and S15 of the peptide,upon temperature increase.Removing this unfavorable contact from the peptide(ZO3S1 with S15A mutation)was shown to be able to increase its interaction with OGT,which was manifested by the enhanced OGT activity against this peptide.The pseudo-substrate peptide(ZO3S1 with S13A and S15A mutations)inhibited the activity of purified OGT with an IC_(50)of 192.9μM and it can also inhibit the total O-GlcNAcylation in cancer cell lines in a concentration-dependent manner.Our results provided useful models and basis for further rational optimization of selective OGT inhibitors based on the dynamic interactions of OGT and its peptidic substrates.
