该文利用形状记忆合金(SMA)的超弹特性提出了一种新型自复位放大位移型 SMA 阻尼器(re-centeringdeformation-amplified SMA damper,RDASD)。该阻尼器可将位移变形根据实际工程需要进行放大,通过限制放大以后的位移充分发挥SMA材料的耗...该文利用形状记忆合金(SMA)的超弹特性提出了一种新型自复位放大位移型 SMA 阻尼器(re-centeringdeformation-amplified SMA damper,RDASD)。该阻尼器可将位移变形根据实际工程需要进行放大,通过限制放大以后的位移充分发挥SMA材料的耗能能力。首先建立了该阻尼器的恢复力模型,并通过试验进行了验证。基于 SMA 材料的旗帜型恢复力模型,分析了预变形、超弹性拉伸位移、刚度和长度四个参数对该阻尼器耗能系数的影响规律。为实现最佳耗能和减震控制效果,提出了该阻尼器的设计准则和性能优化方法。最后以某三层钢框架结构为例,分析了有控和无控两种工况下结构在地震动作用下的动力响应,验证了该阻尼器的减震效果。展开更多
Metabolomics as a research field and a set of techniques is to study the entire small molecules in biological samples.Metabolomics is emerging as a powerful tool generally for pre-cision medicine.Particularly,integrat...Metabolomics as a research field and a set of techniques is to study the entire small molecules in biological samples.Metabolomics is emerging as a powerful tool generally for pre-cision medicine.Particularly,integration of microbiome and metabolome has revealed the mechanism and functionality of microbiome in human health and disease.However,metabo-lomics data are very complicated.Preprocessing/pretreating and normalizing procedures on metabolomics data are usually required before statistical analysis.In this review article,we comprehensively review various methods that are used to preprocess and pretreat metabolo-mics data,including MS-based data and NMR-based data preprocessing,dealing with zero and/or missing values and detecting outliers,data normalization,data centering and scaling,data transformation.We discuss the advantages and limitations of each method.The choice for a suitable preprocessing method is determined by the biological hypothesis,the characteristics of the data set,and the selected statistical data analysis method.We then provide the perspective of their applications in the microbiome and metabolome research.展开更多
文摘该文利用形状记忆合金(SMA)的超弹特性提出了一种新型自复位放大位移型 SMA 阻尼器(re-centeringdeformation-amplified SMA damper,RDASD)。该阻尼器可将位移变形根据实际工程需要进行放大,通过限制放大以后的位移充分发挥SMA材料的耗能能力。首先建立了该阻尼器的恢复力模型,并通过试验进行了验证。基于 SMA 材料的旗帜型恢复力模型,分析了预变形、超弹性拉伸位移、刚度和长度四个参数对该阻尼器耗能系数的影响规律。为实现最佳耗能和减震控制效果,提出了该阻尼器的设计准则和性能优化方法。最后以某三层钢框架结构为例,分析了有控和无控两种工况下结构在地震动作用下的动力响应,验证了该阻尼器的减震效果。
基金supported by the Crohn's&Colitis Foundation Senior Research Award(No.902766 to J.S.)The National Institute of Diabetes and Digestive and Kidney Diseases(No.R01DK105118-01 and R01DK114126 to J.S.)+1 种基金United States Department of Defense Congressionally Directed Medical Research Programs(No.BC191198 to J.S.)VA Merit Award BX-19-00 to J.S.
文摘Metabolomics as a research field and a set of techniques is to study the entire small molecules in biological samples.Metabolomics is emerging as a powerful tool generally for pre-cision medicine.Particularly,integration of microbiome and metabolome has revealed the mechanism and functionality of microbiome in human health and disease.However,metabo-lomics data are very complicated.Preprocessing/pretreating and normalizing procedures on metabolomics data are usually required before statistical analysis.In this review article,we comprehensively review various methods that are used to preprocess and pretreat metabolo-mics data,including MS-based data and NMR-based data preprocessing,dealing with zero and/or missing values and detecting outliers,data normalization,data centering and scaling,data transformation.We discuss the advantages and limitations of each method.The choice for a suitable preprocessing method is determined by the biological hypothesis,the characteristics of the data set,and the selected statistical data analysis method.We then provide the perspective of their applications in the microbiome and metabolome research.
