Suppression of Photoinduced BBO Defects Generation on TIO2（110） by Water

We have investigated creation of variable concentrations of defects on TIO2（110）-（1×1） surface by 266 nm laser using temperature programmed desorption technique. Oxygen-vacancy defects can be easily induced by ultraviolet light, the defects concentration has a linear dependence on power density higher than 50 mW/cm2 for 90 s irradiation. No observation of O2 molecule and Ti atom desorption suggests that UV induced defects creation on TiO2（110）-（1×1） is an effective and gentle method. With pre-dosage of thin films of water, the rate of defects creation on TiO2（110）-（1×1） is slower at least by two orders of magnitude than bare TiO2（110）-（1×1） surface. Further investigations show that water can be more easily desorbed by UV light, and thus desorption of bridging oxygen is depressed.     

Ultra high performance liquid chromatography-quadrupole-time of flight analysis for the identification and the determination of resveratrol and its metabolites in mouse plasma

Resveratrol is a polyphenol that has numerous interesting biological properties, but, per os, it is quickly metabolized. Some of its metabolites are more concentrated than resveratrol, may have greater biological activities, and may act as a kind of store for resveratrol. Thus, to understand the biological impact of resveratrol on a physiological system, it is crucial to simultaneously analyze resveratrol and its metabolites in plasma. This study presents an analytical method based on UHPLC-Q-TOF mass spectrometry for the quantification of resveratrol and of its most common hydrophilic metabolites. The use of ¹³C- and D-labeled standards specific to each molecule led to a linear calibration curve on a larger concentration range than described previously. The use of high resolution mass spectrometry in the full scan mode enabled simultaneous identification and quantification of some hydrophilic metabolites not previously described in mice. In addition, UHPLC separation, allowing run times lower than 10 min, can be used in studies that requiring analysis of many samples.     

Reliable screening of pesticide residues in maternal and umbilical cord sera by gas chromatography-quadrupole time of flight mass spectrometry

The widespread use of pesticides induces heavy adverse effects on human health,especially for the pregnant women and the newborns.In this study,a screening method has been developed for the determination of multi-pesticides in maternal and umbilical cord sera.All pesticides in sera were collected using solid phase extraction(SPE),and analyzed by gas chromatography-quadrupole time of flight mass spectrometry(GC-QTOF MS).To set up the quality criteria,a database of 50 pesticides was created and the accurate masses of 3 up to 5 representative ions with their intensity ratios were included for each pesticide.In addition,a novel"identification points"(IPs)system relying on the accurate MS1 and MS2 spectra was used to interpret the data for each suspected pesticide.The methodology was then applied to a pair of maternal and umbilical cord sera.A total of six pesticide residues were screened out successfully.In conclusion,GC-QTOF MS combined with an accurate mass database seemed to be one of the most efficient tools for systematic pesticide analysis.     

基于体动射频信号的睡眠分期

为了减轻传统接触式睡眠生理监测系统对人体造成的负担,设计了一种基于微波技术的非接触式睡眠生理信号采集与分析系统,提出一种基于体动射频信号的睡眠分期识别算法.通过小波变换对射频运动传感器(RFMS)采集的体动信号进行预处理,再计算出体动信号的能量值,最后通过判别式处理和阈值法实现了睡眠分期:醒觉期、浅睡期、中睡期、深睡期.实验采集分析了8个实验者为期46天的睡眠生理信号,同时同步采集视频信息、TANITA水床睡眠信息、接触式呼吸脉搏信号.与视频结果比较发现醒觉期正确率达到90%;与TANITA水床睡眠结果相比,本系统的结果与其吻合程度达到70%;与不同睡眠状态下呼吸率、心率的变化相比,本系统的结果吻合度达到80%.     

Identification of key classification features of early cervical squamous cell carcinoma

Despite the tremendous progress in molecular analysis of pan-cancer, little is known regarding molecular classification of cervical squamous cell carcinoma. In this study, we adopted a multi-omics approach to identify potential key classification features of cervical squamous cell carcinoma. Specifically, we analyzed mRNA, and microRNA (miRNA) expression data, as well as DNA methylation and copy number variation in cervical squamous cell carcinoma cases, using datasets obtained from The Cancer Genome Atlas (TCGA). Moreover, we identified molecules in each dimension, as well as integrated and clustered filtered classification features, and used them to distinguish different subtypes. The resulting key classification features were used to establish a classification model for cervical squamous cell carcinoma. Our results revealed two cervical squamous cell carcinoma subtypes, with significant differences across clinical survival levels, as well as 8 key classification features of cervical squamous cell carcinomas. These findings are expected to provide important references for early classification of cervical squamous cell carcinoma and identification of classification markers.     

Dispersion measurements using time-of-flight remote detection MRI

Remote detection nuclear magnetic resonance and magnetic resonance imaging can be used to study fluid flow and dispersion in a porous medium from a purely Eulerian point of view (i.e., in a laboratory frame of reference). Information about fluid displacement is obtained on a macroscopic scale in a long-time regime, while local velocity distributions are averaged out. It is shown how these experiments can be described using the common flow propagator formalism and how experimental data can be analyzed to obtain effective porosity, flow velocity inside the porous medium, fluid dispersion and flow tracing of fluid.     

基于类PCM结构过程的试飞多科目iNET处理技术

飞行试验网络化iNET测试系统正逐渐取代传统的PCM测试系统,成为当前飞行试验测试系统的主要架构;网络化iNET测试系统下对多科目数据处理提出了更高的要求,针对试验多科目数据处理的特点,文章提出了一种基于类PCM结构中间存储的多科目数据处理方法,借鉴成熟的PCM组帧技术和解析方法,打破传统试验多科目处理模式,提高了多科目处理效率,解决了海量试验数据多科目处理难题,满足了现代飞行试验多科目快速处理需求。     

飞行试验大数据技术及展望

现代航空武器装备综合化和信息化程度越来越高,飞行试验测试数据的种类增多,测试数据量剧增,飞行试验进入了大数据时代。试飞大数据的来临,对试验数据的获取、记录、传输和处理等传统技术及模式产生了强大的冲击,也提出了严峻的挑战。本文在简要介绍大数据概念及国外研究应用现状的基础上,通过总结分析飞行试验数据的新特征、新需求,提出了“试飞大数据”的概念,得出飞行试验数据是典型大数据的结论;按照试飞测试流程和大数据技术范畴,重点分析了试飞大数据技术中的数据获取、交换、记录、传输、监控、处理、存储等关键技术,最后,对试飞大数据技术的应用前景进行了展望。     

试飞数据分析结果的可视化输出软件设计与实现

针对试飞数据分析结果进行可视化输出可以提高试飞科目的评判效率。将试飞数据分析结果进行结构化存储,采用列模式内存对齐方式,提高单个参数的检索查询及图形输出操作效率;对C+ builder标准组件类属性及方法进行扩充,实现对常规和特殊定制结果曲线图的绘制导出;利用进程调用方式,融合Matlab平台GUI应用程序和算法库,扩展软件交互功能。以实现对试飞数据分析结果的可视化输出。     

超精密气浮工件台误差建模

为了研究多种作用因素在高加速、大行程条件下对超精密微动台静态精度的影响,利用刚体运动学,通过综合工件台中的线性位置误差与角位置误差,建立了超精密气浮工件台的静态误差解析模型。利用该模型,结合有限元等方法定量分析了超精密气浮工件台中加速度、制造误差、结构柔性及气浮轴承刚度等普遍存在的误差因素同时作用时对系统最终精度的影响。通过分析,证明在高加速、大行程条件下,气浮轴承的角刚度不足是造成静态误差的主要因素。