To enhance the performance of the artificial bee colony optimization by integrating the quantum computing model into bee colony optimization, we present a quantum-inspired bee colony optimization algorithm. In our met...To enhance the performance of the artificial bee colony optimization by integrating the quantum computing model into bee colony optimization, we present a quantum-inspired bee colony optimization algorithm. In our method, the bees are encoded with the qubits described on the Bloch sphere. The classical bee colony algorithm is used to compute the rotation axes and rotation angles. The Pauli matrices are used to construct the rotation matrices. The evolutionary search is achieved by rotating the qubit about the rotation axis to the target qubit on the Bloch sphere. By measuring with the Pauli matrices, the Bloch coordinates of qubit can be obtained, and the optimization solutions can be presented through the solution space transformation. The proposed method can simultaneously adjust two parameters of a qubit and automatically achieve the best match between two adjustment quantities, which may accelerate the optimization process. The experimental results show that the proposed method is obviously superior to the classical one for some benchmark functions.展开更多
Background Type 2 diabetes mellitus(T2DM)poses an escalating public health challenge among adolescents and young adults worldwide.Despite the rising incidence,comprehensive data on the burden and trends of T2DM in thi...Background Type 2 diabetes mellitus(T2DM)poses an escalating public health challenge among adolescents and young adults worldwide.Despite the rising incidence,comprehensive data on the burden and trends of T2DM in this demographic remain scarce.This study aims to evaluate the burden of T2DM among individuals aged 10–24 years globally,regionally,and nationally from 1990 to 2021.Methods Utilizing data from the Global Burden of Diseases,Injuries,and Risk Factors Study(GBD)2021,we assessed incidence rates,disability-adjusted life-years(DALYs),and average annual percentage changes(AAPCs)for T2DM in the specified age group.Analyses accounted for variations by age,sex,and socio-demographic index(SDI).Joinpoint regression analysis identified years of significant trend shifts.Results The global incidence of T2DM among adolescents and young adults rose from 56.02 per 100,000(95%UI 43.03–72.32)in 1990 to 123.86 per 100,000(95%UI 100.43–149.79)in 2021,reflecting an AAPC of 3.01(95%CI 2.78–3.23).Notable increases were recorded in 1995,2002,and 2009,with joinpoints indicating significant trend stabilization post-2010 for prevalence and DALYs.The largest relative incidence increase was observed in the 15–19 age group[AAPC 2.97(95%CI 2.71–3.24)].Although T2DM mortality was 2.4 times higher in the 15–19 age group compared to the 20–24 age group,the latter exhibited a significantly higher overall mortality rate.Regionally,Oceania recorded the highest incidence rates in 2021,while North Africa and the Middle East showed the greatest AAPCs.High-SDI countries experienced the most substantial increase in T2DM burden,with males comprising 54.8%of cases.Conclusions From 1990 to 2021,the global burden of T2DM among adolescents and young adults has markedly increased,underscoring the necessity for targeted,region-specific interventions to address this issue.The observed demographic disparities in mortality rates necessitate the implementation of age-specific strategies.Furthermore,the emergent trends in T2DM indicators warrant urgent attention to mitigate the rising burden in this vulnerable population.展开更多
文摘To enhance the performance of the artificial bee colony optimization by integrating the quantum computing model into bee colony optimization, we present a quantum-inspired bee colony optimization algorithm. In our method, the bees are encoded with the qubits described on the Bloch sphere. The classical bee colony algorithm is used to compute the rotation axes and rotation angles. The Pauli matrices are used to construct the rotation matrices. The evolutionary search is achieved by rotating the qubit about the rotation axis to the target qubit on the Bloch sphere. By measuring with the Pauli matrices, the Bloch coordinates of qubit can be obtained, and the optimization solutions can be presented through the solution space transformation. The proposed method can simultaneously adjust two parameters of a qubit and automatically achieve the best match between two adjustment quantities, which may accelerate the optimization process. The experimental results show that the proposed method is obviously superior to the classical one for some benchmark functions.
文摘Background Type 2 diabetes mellitus(T2DM)poses an escalating public health challenge among adolescents and young adults worldwide.Despite the rising incidence,comprehensive data on the burden and trends of T2DM in this demographic remain scarce.This study aims to evaluate the burden of T2DM among individuals aged 10–24 years globally,regionally,and nationally from 1990 to 2021.Methods Utilizing data from the Global Burden of Diseases,Injuries,and Risk Factors Study(GBD)2021,we assessed incidence rates,disability-adjusted life-years(DALYs),and average annual percentage changes(AAPCs)for T2DM in the specified age group.Analyses accounted for variations by age,sex,and socio-demographic index(SDI).Joinpoint regression analysis identified years of significant trend shifts.Results The global incidence of T2DM among adolescents and young adults rose from 56.02 per 100,000(95%UI 43.03–72.32)in 1990 to 123.86 per 100,000(95%UI 100.43–149.79)in 2021,reflecting an AAPC of 3.01(95%CI 2.78–3.23).Notable increases were recorded in 1995,2002,and 2009,with joinpoints indicating significant trend stabilization post-2010 for prevalence and DALYs.The largest relative incidence increase was observed in the 15–19 age group[AAPC 2.97(95%CI 2.71–3.24)].Although T2DM mortality was 2.4 times higher in the 15–19 age group compared to the 20–24 age group,the latter exhibited a significantly higher overall mortality rate.Regionally,Oceania recorded the highest incidence rates in 2021,while North Africa and the Middle East showed the greatest AAPCs.High-SDI countries experienced the most substantial increase in T2DM burden,with males comprising 54.8%of cases.Conclusions From 1990 to 2021,the global burden of T2DM among adolescents and young adults has markedly increased,underscoring the necessity for targeted,region-specific interventions to address this issue.The observed demographic disparities in mortality rates necessitate the implementation of age-specific strategies.Furthermore,the emergent trends in T2DM indicators warrant urgent attention to mitigate the rising burden in this vulnerable population.
