基于车桥耦合理论的梁式桥阻尼比识别研究

提出一种基于车桥耦合动力学理论的梁式桥阻尼比识别方法. 首先按照动力学理论将测试车设计为单自由度体系, 然后利用安装在测试车上的传感器采集信号, 从测试车与桥梁接触点响应信号中得到梁式桥响应的信号, 基于车桥耦合动力学原理滤波处理得到包含梁式桥第一阶频率的信号, 最后假定梁式桥阻尼比值, 通过假定的梁式桥阻尼比值获取假定的梁式桥第一阶振型, 不断循环直至假定的阻尼比值下计算的第一阶振型最大值点居中, 即为识别的梁式桥真实阻尼比. 本文首先从车桥耦合动力学理论推导上说明了该方法的可行性, 然后考虑在不同车速与非恒定车速、路面粗糙度、环境噪音等影响因素下进行车桥耦合动力学模型分析, 最后通过实桥试验进行了初步验证. 研究结果表明: 该方法能一定程度上克服外界不利因素的影响, 达到识别梁式桥阻尼比的目的, 为识别梁式桥阻尼比提供一种更优方法, 其具有参数设置较少、操作简单方便以及更高测试精度等优点, 同时有助于推动基于车桥耦合的车桥耦合动力学理论技术在梁式桥模态参数识别工作中的实际工程应用.      

Nonlinear singular traveling waves in a slightly compressible thermo-hyperelastic cylindrical shell

Nonlinear Dynamics - In this paper, we present a novel methodology for nonlinear dynamic analysis of chemical processes that are posed as differential–algebraic equations (DAE) systems. With...     

Piecewise Continuous Almost Automorphic Functions and Favard’s Theorems for Impulsive Differential Equations in Honor of Russell Johnson

Journal of Dynamics and Differential Equations - We define piecewise continuous almost automorphic (p.c.a.a.) functions in the manners of Bochner, Bohr and Levitan, respectively, to describe almost...     

基于LPC2210和SSD1339的PM-OLED驱动控制电路

为了避免早期无源矩阵有机电致发光器件驱动控制电路的一些缺陷,如:"串扰"和"交叉"效应以及电路连接比较复杂,用两种方法实现了基于飞利浦公司生产的LPC2210控制芯片和晶门科技公司的SSD1339驱动芯片的驱动控制电路。首先介绍了有机电致发光器件的结构和发光原理以及芯片SSD1339和LPC2210的主要的特点;分析和比较了SSD1339的8080系列并行口和LPC2210外部存储控制单元的读写时序;分别利用LPC2210的通用输入输出单元和外部存储控制单元,成功的控制SSD1339驱动128RGB×128点阵有机电致发光屏。实验结果表明:两种方法不仅可以有效地克服早期驱动控制电路的缺陷,而且可以使有机电致发光屏显示出高质量的图片;用外部存储控制单元实现的驱动控制电路,可以实现约80 Hz的驱动帧频;而使用通用输入输出单元实现的驱动控制电路,可以单步跟踪数据的传输,因此它具有方便查错的优势。本次实验为在不同的集成环境下无源矩阵有机电致发光器件驱动控制电路的设计奠定基础。     

Discussion of the protein characterization techniques used in the identification of membrane protein targets corresponding to tumor cell aptamers

Aptamer is an oligonucleotide chain with specific binding ability to protein and other targets,which is widely used in ma ny fields.Because of its ability to screen the premise of unknown targets,it can be used to discover some novel tumor markers,i.e.,membrane proteins that are specifically highly expressed on the surface of tumor cells.Tumor markers can be used in many fields such as early diagnosis and treatment,and a new type of tumor marker proved to be effective can significantly improve the therapeutic effect of such tumors.However,further characterization of newly acquired membrane proteins is essential for their clinical use as tumor markers.This review first briefly introduced the process of obtaining novel tumor markers from nucleic acid aptamers.Next,the commonly used protein characterization methods could be used as a technical means to identify membrane protein targets corresponding to tumor cell aptamers,to clarify the principles,advantages and disadvantages of various means,and to analyze the most suitable situations for various experimental methods.Finally,the outlook was made and the characterization methods that should be used in such experiments were summarized.     

Active Control of Thermo-mechanical Buckling of Composite Laminated Plates Using Piezoelectric Actuators

This paper is concerned with the active control of thermo-mechanical buckling of composite laminated plates using piezoelectric facesheets as actuators.The four...     

动态法测量材料的磁电效应

根据动态法测量磁电效应的基本原理,优化设计并建立了磁电效应测量系统,对其中的一些重要参数对磁电效应测量的影响进行了研究.结果表明,综合考虑测量需要,选择适当的测量参数,对于磁电效应的正确测量十分重要.适当增加线圈长度、减小线圈匝数以及减小交变磁场场强,都是提高磁电效应测量精度、减小测量误差的有效途径.     

高效液相色谱-柱后衍生和质谱联用测定大米中氨基甲酸酯类农药残留量

研究了高效液相色谱-柱后衍生荧光检测和液质联用分别测定大米中14种和16种氨基甲酸酯类农药残留量的方法.二氯甲烷和丙酮的混和溶剂提取后,用柱后衍生荧光检测法和离子阱多级质谱联用法进行测定.柱后衍生荧光检测法检出限为20～50 μg/kg,离子阱多级质谱联用法检出限为10～20 μg/kg,添加平均回收率在70%～92%之间,RSD%在6.7%～12%.     

Multiplex metal-detection based assay (MMDA) for COVID-19 diagnosis and identification of disease severity biomarkers

The ongoing COVID-19 pandemic caused by SARS-CoV-2 highlights the urgent need to develop sensitive methods for diagnosis and prognosis. To achieve this, multidimensional detection of SARS-CoV-2 related parameters including virus loads, immune response, and inflammation factors is crucial. Herein, by using metal-tagged antibodies as reporting probes, we developed a multiplex metal-detection based assay (MMDA) method as a general multiplex assay strategy for biofluids. This strategy provides extremely high multiplexing capability (theoretically over 100) compared with other reported biofluid assay methods. As a proof-of-concept, MMDA was used for serologic profiling of anti-SARS-CoV-2 antibodies. The MMDA exhibits significantly higher sensitivity and specificity than ELISA for the detection of anti-SARS-CoV-2 antibodies. By integrating the high dimensional data exploration/visualization tool (tSNE) and machine learning algorithms with in-depth analysis of multiplex data, we classified COVID-19 patients into different subgroups based on their distinct antibody landscape. We unbiasedly identified anti-SARS-CoV-2-nucleocapsid IgG and IgA as the most potently induced types of antibodies for COVID-19 diagnosis, and anti-SARS-CoV-2-spike IgA as a biomarker for disease severity stratification. MMDA represents a more accurate method for the diagnosis and disease severity stratification of the ongoing COVID-19 pandemic, as well as for biomarker discovery of other diseases.

A MMDA platform is developed by using metal-tagged antibodies as reporting probes combined with machine learning algorithms, as a general strategy for highly multiplexed biofluid assay.     

高效液相色谱法测定动物组织中鱼腥草素同系物含量

以氢氧化钠水解合成鱼腥草素类药物,然后用乙醚提取,除去乙醚后,用HPLC法测定大鼠血样和组织样品中药物的含量。结果表明:碱水解后合成鱼腥草素,形成共轭双键的烯醇式烷酰乙醛,紫外吸收显著增强,HPLC图谱测定物峰分离良好。血液加样标准曲线回归线性良好,r=0.999以上,线性范围为0.1-100mg/L,标准加入回收率为97.3%。利用该方法分析合成鱼腥草素类药物在动物血液、脑、肝、心脏、肾脏和肌肉等组织中的残留完全可行。