3D-ASL灌注成像与静息态功能MRI在癫痫诊断及鉴别中的价值

选取123例癫痫患者作为研究组,同期69例健康体检者作为对照组,均行三维动脉自旋标记技术(3D-ASL)灌注成像与静息态功能MRI(rs-FMRI)检查,研究二者在癫痫病诊断及鉴别中的价值.结果发现,研究组全面发作脑血流量(CBF)、低频振幅(ALFF)＜部分发作和对照组,全面发作血清脑源性神经细胞营养因子(BDNF)...     

Molecular dynamic study of temperature dependence of mechanical properties and plastic inception of CoCrCuFeNi high-entropy alloy

Molecular dynamics simulations are performed to study mechanical characteristics and homogeneous plastic inception of CoCrCuFeNi high-entropy alloy at various temperatures under uniaxial tension. It is found that the elastic modulus and ultimate tensile strength increase with temperature decreasing. A notable softening effect is observed at the elastic deformation stage caused by the decrease of the interatomic force gradient. Extrinsic stacking faults and deformation twins are extensively observed, which are formed via intrinsic stacking faults overlap.     

Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions

The vibration signal of gearboxes contains abundant fault information, which can be used for condition monitoring. However, vibration signal is ineffective for some non-structural failures. In order to resolve this dilemma, infrared thermal images are introduced to combine with vibration signals via fusion domain-adaptation convolutional neural network (FDACNN), which can diagnose both structural and non-structural failures under various working conditions. First, the measured raw signals are converted into frequency and squared envelope spectrum to characterize the health states of the gearbox. Second, the sequences of the frequency and squared envelope spectrum are arranged into two-dimensional format, which are combined with infrared thermal images to form fusion data. Finally, the adversarial network is introduced to realize the state recognition of structural and non-structural faults in the unlabeled target domain. An experiment of gearbox test rigs was used for effectiveness validation by measuring both vibration and infrared thermal images. The results suggest that the proposed FDACNN method performs best in cross-domain fault diagnosis of gearboxes via multi-source heterogeneous data compared with the other four methods.     

浅析国内基于红外技术的电路板故障检测方法

基于红外技术的电路板故障检测方法是一种全新的非接触式故障检测方法。结合电路板故障红外检测的基本组成要素,介绍了各种相关技术的基本知识和国内的研究情况。着重分析了红外信息提取过程中存在的一些不确定因素,提出了在状态识别中用支持向量机完成电路板故障红外智能诊断的方法。通过分析已有的研制成果,阐述了当前基于红外技术的电路板故障检测仪在实际应用过程中存在的不足,为电路板故障红外诊断技术的深入研究指出了关键点。     

基于超光谱图像的舌体分割算法

舌体分割是实现中医舌诊现代化的一个前提工作,分割质量直接影响舌象诊断的性能.然而由于舌的生理特征比较复杂,舌的形态以及舌与嘴唇的连接各不相同,使得舌体分割比较困难.本文采用超光谱成像系统代替数码相机采集舌图像,并借鉴光谱角度匹配算法,发展了基于超光谱图像的舌体分割算法.这一算法通过光谱角度匹配算法将超光谱舌图像立方体转换成光谱角度立方体,然后采用一维脉冲波形的边沿信息检测出边缘信息,最后实现了舌体的分割.试验表明,这种基于超光谱图像的舌体分割算法可以较为准确地将舌体分割出来.     

Cathepsin B-responsive nanodrug delivery systems for precise diagnosis and targeted therapy of malignant tumors

The tumor microenvironment (TME) significantly influences cancer evolution and therapeutic efficacy. Targeting biofunctional molecules to the TME has long been appreciated as a means of raising local drug concentrations and reducing systemic toxicities. The booming nanotechnology field has realized the importance of cathepsin B to derive a variety of intelligent enzyme-responsive nanosized drug delivery systems (nanoDDS) to improve treatment responses and clinical outcomes. In this tutorial review, after introducing the molecular structure and physiological/pathological functions of cathepsin B, the outstanding achievements of cathepsin B-responsive nanoplatforms in the precise diagnosis, targeted therapy, and synergistic theranostics of malignant tumors are systematically described. Finally, the challenges of enzyme-substrate incompatibility, low diagnostic sensitivity, mass production and biocompatibility of multifunctional nanoDDS are considered in order to successfully promote them to clinical applications     

电气设备红外故障诊断中的影响因素分析

文章结合红外辐射理论以及电气设备实际检测,对电气设备红外检测与故障诊断中的各种可能影响因素进行分析,为电力设备的实际诊断工作、红外标准的制定以及使用提供理论基础.分析发现,检测方法、环境以及仪器本身等都可能对检测的精度产生较大的影响.为了提高检测的精度与可靠性,必须对这些影响因素有所熟悉,并在检测的过程中加以克服.     

郯庐断裂带鲁皖段新生代玄武岩形成机制的稀土判别

根据郯庐断裂带鲁皖段早第三纪、中新世以及更新世玄武岩的稀土元素特征的研究，应用稀土判据探讨了区内玄武岩的形成机制。稀土元素和常量元素的相关关系显示，郯庐断裂带新生代3个阶段玄武岩成岩过程中分离结晶作用不明显，其形成机制应该为上地幔部分熔融作用。通过多种稀土元素联合协变关系也同样反映了这些玄武岩的形成机制为上地幔部分熔融作用，同时也显示区内新生代玄武岩的稀土元素特征继承了其源区物质的稀土元素特征。这一结论与区内Sr，Nd同位素研究的结果相吻合。     

电化学DNA传感器的研制及其医学应用

对近几年发展起来的电化学DNA传感器的研究工作进行了讨沦,详细论述了该类传感器的工作原理、探针固定化技术、杂交指示剂的类型以及在基因诊断、药物分析等方面的医学应用,并展望了应用前景和发展方向。     

一种基于RepRap开源3D打印平台的低成本、自动化核酸提取系统

自动化核酸提取技术对于核酸扩增和高通量测序等分子检测应用至关重要.当前,大部分商用自动化核酸提取仪主要以磁分离技术为主,采用高度集成的封闭式结构设计方案,成本高,且不利于在资源有限的环境下使用.此外,核酸样本处理功能模块一旦固定,便很难根据需要对其功能更新和拓展.为了应对上述挑战,该文在基于"快速复制原型机(RepRa...