The maintenance of safety and dependability in rail and road embankments is of utmost importance in order to facilitate the smooth operation of transportation networks.This study introduces a comprehensive methodology...The maintenance of safety and dependability in rail and road embankments is of utmost importance in order to facilitate the smooth operation of transportation networks.This study introduces a comprehensive methodology for soil slope stability evaluation,employing Monte Carlo Simulation(MCS)and Subset Simulation(SS)with the"UPSS 3.0 Add-in"in MS-Excel.Focused on an 11.693-meter embankment with a soil slope(inclination ratio of 2H:1V),the investigation considers earthquake coefficients(kh)and pore water pressure ratios(ru)following Indian zoning requirements.The chance of slope failure showed a considerable increase as the Coefficient of Variation(COV),seismic coefficients(kh),and pore water pressure ratios(ru)experienced an escalation.The SS approach showed exceptional efficacy in calculating odds of failure that are notably low.Within computational modeling,the study optimized the worst-case scenario using ANFIS-GA,ANFIS-GWO,ANFIS-PSO,and ANFIS-BBO models.The ANFIS-PSO model exhibits exceptional accuracy(training R2=0.9011,RMSE=0.0549;testing R2=0.8968,RMSE=0.0615),emerging as the most promising.This study highlights the significance of conducting thorough risk assessments and offers practical insights into evaluating and improving the stability of soil slopes in transportation infrastructure.These findings contribute to the enhancement of safety and reliability in real-world situations.展开更多
This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statisti...This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statistics of the uniform distribution (yielding rank values) and of the normal distribution (yielding normal score values). The comparison is made using state motor vehicle traffic fatality rates, published in a 2016 article, with fifty-one states (including DC as a state) and over a nineteen-year period (1994 through 2012). The earlier study considered four block design selection rules—two for choosing a subset to contain the “best” population (i.e., state with lowest mean fatality rate) and two for the “worst” population (i.e., highest mean rate) with a probability of correct selection chosen to be 0.90. Two selection rules based on normal scores resulted in selected subset sizes substantially smaller than corresponding rules based on ranks (7 vs. 16 and 3 vs. 12). For two other selection rules, the subsets chosen were very close in size (within one). A comparison is also made using state homicide rates, published in a 2022 article, with fifty states and covering eight years. The results are qualitatively the same as those obtained with the motor vehicle traffic fatality rates.展开更多
Smart grid(SG)brings convenience to users while facing great chal-lenges in protecting personal private data.Data aggregation plays a key role in protecting personal privacy by aggregating all personal data into a sin...Smart grid(SG)brings convenience to users while facing great chal-lenges in protecting personal private data.Data aggregation plays a key role in protecting personal privacy by aggregating all personal data into a single value,preventing the leakage of personal data while ensuring its availability.Recently,a flexible subset data aggregation(FSDA)scheme based on the Pail-lier homomorphic encryption was first proposed by Zhang et al.Their scheme can dynamically adjust the size of each subset and obtain the aggregated data in the corresponding subset.In this paper,firstly,an efficient attack with both theorems proving and experimentative verification is launched.We find that in a specific scenario where the encrypted data constructed by a smart meter(SM)exceeds the size of one Paillier ciphertext,the malicious fog node(FN)may use the received ciphertext to obtain the reading of the SM.Secondly,to avoid the possibility of privacy disclosure under certain circumstances,additional hash functions are added to the individual encryption process.In addition,fault tolerance is very important to aggregation schemes in practical scenarios.In most of the current schemes,once some SMs failed,then they will not work.As far as we know,there is no multi-subset aggregation scheme both supports flexible subset data aggregation and fault tolerance.Finally,we construct the first secure flexible subset data aggregation(SFSDA)scheme with fault tolerance by combining the fault tolerance method with the flexible multi-subset aggregation,where FN enables the control server(CS)to finally decrypt the aggregated ciphertext by recovering equivalent ciphertexts when some SMs fail to submit their ciphertexts.Experiments show that our SFSDA scheme keeps the efficiency in implementing a flexible multi-subset aggregation function,and only has a small delay in implementing fault-tolerant data aggregation.展开更多
Background:Colorectal cancer(CRC)is a common gastrointestinal malignancy.The T lymphocyte subsets are important in the develop-ment,invasion and metastasis of tumors,including CRC.Nevertheless,limited research has exp...Background:Colorectal cancer(CRC)is a common gastrointestinal malignancy.The T lymphocyte subsets are important in the develop-ment,invasion and metastasis of tumors,including CRC.Nevertheless,limited research has explored the relationship between T cell subpopu-lations and the clinical characteristics of CRC.This study compared the T lymphocyte subsets in patients with CRC and healthy individuals,and assessed the relationship between these values and clinical characteristics.Methods:Peripheral blood was collected from 100 patients with CRC and 54 healthy individuals.The numbers of CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocytes,NK cells,and the CD4^(+)T/CD8^(+)T ratio in peripheral blood were measured using flow cytometry,and were compared between CRC patients and healthy individuals.Spearman's correlation analysis was performed to investigate the relationship between the T lymphocyte subsets in patients diagnosed with CRC and the levels of carcinoembryonic antigen(CEA)and thymidine kinase 1(TK1).Receiver operating characteristic(ROC)curves were utilized to evaluate the potential utility of the T lymphocyte counts in predicting lymph node metastasis,vas-cular infiltration,and high Ki-67 expression.Results:The CRC patients had lower counts of CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocytes compared to the healthy population(P<0.05).However,no significant differences were observed in the CD4^(+)/CD8^(+)ratio or NK cells(P>0.05).Notably,the CD3^(+)T,CD4^(+)T,and CD8^(+)T lym-phocyte counts were higher in patients with stageⅠ-Ⅱdisease,no lymph node metastasis,no vascular invasion,and low Ki-67 expression than in those with stageⅢ,lymph node metastasis,vascular invasion,and high Ki-67 expression(P<0.05).There was a negative association be-tween the CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocyte counts and CEA and TK1 levels in patients with CRC.The ROC curves demonstrated that CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocyte counts had significant predictive value for lymph node metastasis,vascular infiltration,and high Ki-67 expression.Conclusions:The peripheral blood CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocyte counts are related to the clinical traits of patients with CRC and can predict the prognosis of the disease.展开更多
文摘The maintenance of safety and dependability in rail and road embankments is of utmost importance in order to facilitate the smooth operation of transportation networks.This study introduces a comprehensive methodology for soil slope stability evaluation,employing Monte Carlo Simulation(MCS)and Subset Simulation(SS)with the"UPSS 3.0 Add-in"in MS-Excel.Focused on an 11.693-meter embankment with a soil slope(inclination ratio of 2H:1V),the investigation considers earthquake coefficients(kh)and pore water pressure ratios(ru)following Indian zoning requirements.The chance of slope failure showed a considerable increase as the Coefficient of Variation(COV),seismic coefficients(kh),and pore water pressure ratios(ru)experienced an escalation.The SS approach showed exceptional efficacy in calculating odds of failure that are notably low.Within computational modeling,the study optimized the worst-case scenario using ANFIS-GA,ANFIS-GWO,ANFIS-PSO,and ANFIS-BBO models.The ANFIS-PSO model exhibits exceptional accuracy(training R2=0.9011,RMSE=0.0549;testing R2=0.8968,RMSE=0.0615),emerging as the most promising.This study highlights the significance of conducting thorough risk assessments and offers practical insights into evaluating and improving the stability of soil slopes in transportation infrastructure.These findings contribute to the enhancement of safety and reliability in real-world situations.
文摘This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statistics of the uniform distribution (yielding rank values) and of the normal distribution (yielding normal score values). The comparison is made using state motor vehicle traffic fatality rates, published in a 2016 article, with fifty-one states (including DC as a state) and over a nineteen-year period (1994 through 2012). The earlier study considered four block design selection rules—two for choosing a subset to contain the “best” population (i.e., state with lowest mean fatality rate) and two for the “worst” population (i.e., highest mean rate) with a probability of correct selection chosen to be 0.90. Two selection rules based on normal scores resulted in selected subset sizes substantially smaller than corresponding rules based on ranks (7 vs. 16 and 3 vs. 12). For two other selection rules, the subsets chosen were very close in size (within one). A comparison is also made using state homicide rates, published in a 2022 article, with fifty states and covering eight years. The results are qualitatively the same as those obtained with the motor vehicle traffic fatality rates.
基金supported by National Natural Science Foundation of China (Grant Nos.62102452,62172436)Natural Science Foundation of Shaanxi Province (No.2023-JCYB-584)+1 种基金Innovative Research Team in Engineering University of PAP (KYTD201805)Engineering University of PAP’s Funding for Key Researcher (No.KYGG202011).
文摘Smart grid(SG)brings convenience to users while facing great chal-lenges in protecting personal private data.Data aggregation plays a key role in protecting personal privacy by aggregating all personal data into a single value,preventing the leakage of personal data while ensuring its availability.Recently,a flexible subset data aggregation(FSDA)scheme based on the Pail-lier homomorphic encryption was first proposed by Zhang et al.Their scheme can dynamically adjust the size of each subset and obtain the aggregated data in the corresponding subset.In this paper,firstly,an efficient attack with both theorems proving and experimentative verification is launched.We find that in a specific scenario where the encrypted data constructed by a smart meter(SM)exceeds the size of one Paillier ciphertext,the malicious fog node(FN)may use the received ciphertext to obtain the reading of the SM.Secondly,to avoid the possibility of privacy disclosure under certain circumstances,additional hash functions are added to the individual encryption process.In addition,fault tolerance is very important to aggregation schemes in practical scenarios.In most of the current schemes,once some SMs failed,then they will not work.As far as we know,there is no multi-subset aggregation scheme both supports flexible subset data aggregation and fault tolerance.Finally,we construct the first secure flexible subset data aggregation(SFSDA)scheme with fault tolerance by combining the fault tolerance method with the flexible multi-subset aggregation,where FN enables the control server(CS)to finally decrypt the aggregated ciphertext by recovering equivalent ciphertexts when some SMs fail to submit their ciphertexts.Experiments show that our SFSDA scheme keeps the efficiency in implementing a flexible multi-subset aggregation function,and only has a small delay in implementing fault-tolerant data aggregation.
基金supported by the New Technology and New Project of Jinxiang Hospital Affiliated to Jining Medical University(No.JY2023026).
文摘Background:Colorectal cancer(CRC)is a common gastrointestinal malignancy.The T lymphocyte subsets are important in the develop-ment,invasion and metastasis of tumors,including CRC.Nevertheless,limited research has explored the relationship between T cell subpopu-lations and the clinical characteristics of CRC.This study compared the T lymphocyte subsets in patients with CRC and healthy individuals,and assessed the relationship between these values and clinical characteristics.Methods:Peripheral blood was collected from 100 patients with CRC and 54 healthy individuals.The numbers of CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocytes,NK cells,and the CD4^(+)T/CD8^(+)T ratio in peripheral blood were measured using flow cytometry,and were compared between CRC patients and healthy individuals.Spearman's correlation analysis was performed to investigate the relationship between the T lymphocyte subsets in patients diagnosed with CRC and the levels of carcinoembryonic antigen(CEA)and thymidine kinase 1(TK1).Receiver operating characteristic(ROC)curves were utilized to evaluate the potential utility of the T lymphocyte counts in predicting lymph node metastasis,vas-cular infiltration,and high Ki-67 expression.Results:The CRC patients had lower counts of CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocytes compared to the healthy population(P<0.05).However,no significant differences were observed in the CD4^(+)/CD8^(+)ratio or NK cells(P>0.05).Notably,the CD3^(+)T,CD4^(+)T,and CD8^(+)T lym-phocyte counts were higher in patients with stageⅠ-Ⅱdisease,no lymph node metastasis,no vascular invasion,and low Ki-67 expression than in those with stageⅢ,lymph node metastasis,vascular invasion,and high Ki-67 expression(P<0.05).There was a negative association be-tween the CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocyte counts and CEA and TK1 levels in patients with CRC.The ROC curves demonstrated that CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocyte counts had significant predictive value for lymph node metastasis,vascular infiltration,and high Ki-67 expression.Conclusions:The peripheral blood CD3^(+)T,CD4^(+)T,and CD8^(+)T lymphocyte counts are related to the clinical traits of patients with CRC and can predict the prognosis of the disease.
