Background As the population in China rapidly ages,the prevalence of mild cognitive impairment(MCI)is increasing considerably.However,the causes of MCI vary.The continued lack of understanding of the various subtypes ...Background As the population in China rapidly ages,the prevalence of mild cognitive impairment(MCI)is increasing considerably.However,the causes of MCI vary.The continued lack of understanding of the various subtypes of MCI impedes the implementation of effective measures to reduce the risk of advancing to more severe cognitive diseases.Aims To estimate the prevalence and incidence rates of two MCI subtypes—amnestic MCI(aMCI)and vascular cognitive impairment without dementia(VCIND)—and to determine modifiable factors for them among older individuals in a multiregional Chinese cohort.Method This 1-year longitudinal study surveyed a random sample of participants aged≥60 years from a large,community-dwelling cohort in China.Baseline lifestyle data were self-reported,while vascular and comorbid conditions were obtained from medical records and physical examinations.In total,3514 and 2051 individuals completed the baseline and 1-year follow-up assessments,respectively.Logistic and linear regression analyses were used to identify the modifiable factors for MCI subtypes and predictors of cognitive decline,respectively.Results Among our participants,aMCI and VCIND demonstrated prevalence of 14.83%and 2.71%,respectively,and annual incidence(per 1000 person-years)of 69.6 and 10.6,respectively.The risk factor for aMCI was age,whereas its protective factors were high education level,tea consumption and physical activity.Moreover,VCIND risk factors were age,hypertension and depression.The presence of endocrine disease,cerebral trauma or hypertension was associated with a faster decline in cognition over 1 year.Conclusions MCI is a serious health problem in China that will only worsen as the population ages if no widespread interventions are implemented.Preventive strategies that promote brain activity and support healthy lifestyle choices are required.We identified modifiable factors for MCI in older individuals.The easy-to-adopt solutions such as tea consumption and physical activity can aid in preventing MCI.展开更多
In this work,a series of Co-based ternary Co-Er-B bulk metallic glasses(BMGs)with excellent soft magnetic properties and high strength were developed,and the local atomic structure of a typical Co_(71.5)Er_(3.5)B_(25)...In this work,a series of Co-based ternary Co-Er-B bulk metallic glasses(BMGs)with excellent soft magnetic properties and high strength were developed,and the local atomic structure of a typical Co_(71.5)Er_(3.5)B_(25) metallic glass was studied through in situ high-energy synchrotron X-ray diffraction and ab initio molecular dynamics simulations.The results reveal that the BMG samples can be obtained in a composition region of Co_(68.5-71.5)Er_(3.5-4)B_(25-27.5) by a conventional copper-mold casting method.The Co-Er-B metallic glasses possess stronger atomic bond strengths and denser local atomic packing structure composed of a higher fraction of icosahedral-like clusters but fewer deformed body-centered cubic and crystal-like polyhedrons,and they exhibit slower atomic diffusion behaviors during solidification,as compared to Co-Y-B counterparts.The enhancement in structural stability and the retardation of atomic-ordered diffusion lead to the better glass-forming ability of the Co-Er-B alloys.The smaller magnetic anisotropy energy in the Co-Er-B metallic glasses results in a lower coercivity of less than 1.3 A/m.The Co-Er-B BMGs exhibit high-yield strength of 3560-3969 MPa along with distinct plasticity of around 0.50%.展开更多
基金supported by the Major Project of Wuxi Municipal Health Commission[grant number:Z202406]the Jiangsu Commission of Health Program[grant number:M2024010]+3 种基金the National Key Research and Development Program[grant number:2022YFC3600600]the China Ministry of Science and Technology grants[grant number:2009BAI77B03]the Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support[grant number:20172029]the Innovative Research Team of High-level Local Universities in Shanghai[grant number:ZDCX20211201].
文摘Background As the population in China rapidly ages,the prevalence of mild cognitive impairment(MCI)is increasing considerably.However,the causes of MCI vary.The continued lack of understanding of the various subtypes of MCI impedes the implementation of effective measures to reduce the risk of advancing to more severe cognitive diseases.Aims To estimate the prevalence and incidence rates of two MCI subtypes—amnestic MCI(aMCI)and vascular cognitive impairment without dementia(VCIND)—and to determine modifiable factors for them among older individuals in a multiregional Chinese cohort.Method This 1-year longitudinal study surveyed a random sample of participants aged≥60 years from a large,community-dwelling cohort in China.Baseline lifestyle data were self-reported,while vascular and comorbid conditions were obtained from medical records and physical examinations.In total,3514 and 2051 individuals completed the baseline and 1-year follow-up assessments,respectively.Logistic and linear regression analyses were used to identify the modifiable factors for MCI subtypes and predictors of cognitive decline,respectively.Results Among our participants,aMCI and VCIND demonstrated prevalence of 14.83%and 2.71%,respectively,and annual incidence(per 1000 person-years)of 69.6 and 10.6,respectively.The risk factor for aMCI was age,whereas its protective factors were high education level,tea consumption and physical activity.Moreover,VCIND risk factors were age,hypertension and depression.The presence of endocrine disease,cerebral trauma or hypertension was associated with a faster decline in cognition over 1 year.Conclusions MCI is a serious health problem in China that will only worsen as the population ages if no widespread interventions are implemented.Preventive strategies that promote brain activity and support healthy lifestyle choices are required.We identified modifiable factors for MCI in older individuals.The easy-to-adopt solutions such as tea consumption and physical activity can aid in preventing MCI.
文摘目的针对联邦学习中多中心医学数据的异质性特征导致全局模型性能不佳的问题,提出一种基于特征迁移的自适应个性化联邦学习算法(adaptive personalized federated learning via feature transfer,APFFT)。方法首先,为降低全局模型中异质性特征信息影响,提出鲁棒特征选择网络(robust feature selection network,RFS-Net)构建个性化本地模型。RFS-Net通过学习两个迁移权重分别确定全局模型向本地模型迁移时的有效特征以及特征迁移的目的地,并构建基于迁移权重的迁移损失函数以加强本地模型对全局模型中有效特征的注意力,从而构建个性化本地模型。然后,为过滤各本地模型中异质性特征信息,利用自适应聚合网络(adaptive aggregation network,AANet)聚合全局模型。AA-Net基于全局模型交叉熵变化更新迁移权重并构建聚合损失,使各本地模型向全局模型迁移鲁棒特征,提高全局模型的特征表达能力。结果在3种医学图像分类任务上与4种现有方法进行比较实验,在肺结核肺腺癌分类任务中,各中心曲线下面积(area under the curve,AUC)分别为0.7915,0.7981,0.7600,0.7057和0.8069;在乳腺癌组织学图像分类任务中,各中心准确率分别为0.9849、0.9808、0.9835、0.9826和0.9834;在肺结节良恶性分类任务中,各中心AUC分别为0.8097,0.8498,0.7848和0.7923。结论所提出的联邦学习方法,降低了多中心的异质性特征影响,实现基于鲁棒特征的个性化本地模型自适应构建和全局模型自适应聚合,模型性能有较大提升。
基金supported by the National Natural Science Foundation of China(Grant Nos.52171153 and 51871039)supported by the Department of Energy(DOE)Office of Science(DE-AC02-06CH11357)+1 种基金financial support from the Shanghai Science and Technology Committee,China(Grant No.22JC1410300)the Shanghai Key Laboratory of Material Frontiers Research in Extreme Environments(MFree),China(Grant No.22dz2260800).
文摘In this work,a series of Co-based ternary Co-Er-B bulk metallic glasses(BMGs)with excellent soft magnetic properties and high strength were developed,and the local atomic structure of a typical Co_(71.5)Er_(3.5)B_(25) metallic glass was studied through in situ high-energy synchrotron X-ray diffraction and ab initio molecular dynamics simulations.The results reveal that the BMG samples can be obtained in a composition region of Co_(68.5-71.5)Er_(3.5-4)B_(25-27.5) by a conventional copper-mold casting method.The Co-Er-B metallic glasses possess stronger atomic bond strengths and denser local atomic packing structure composed of a higher fraction of icosahedral-like clusters but fewer deformed body-centered cubic and crystal-like polyhedrons,and they exhibit slower atomic diffusion behaviors during solidification,as compared to Co-Y-B counterparts.The enhancement in structural stability and the retardation of atomic-ordered diffusion lead to the better glass-forming ability of the Co-Er-B alloys.The smaller magnetic anisotropy energy in the Co-Er-B metallic glasses results in a lower coercivity of less than 1.3 A/m.The Co-Er-B BMGs exhibit high-yield strength of 3560-3969 MPa along with distinct plasticity of around 0.50%.
