布里渊散射谱拟合的混合优化算法

基于布里渊光时域分析仪的全分布式光纤传感系统中,光纤沿途的探测信号含有噪声导致被测量的温度或应变信息难以识别,光谱拟合的精确度对传感信息的识别非常重要。在传感系统低信噪比的情况下,提出了一种提取高精度布里渊散射谱特征的拟合方法,利用小波去噪结合莱文伯-马奈特（LM）算法调节权值后向传输(BP)网络对布里渊散射谱进行特征提取。克服了传统BP神经网络易陷入局部极值的缺点,保证求解的精度。数值仿真表明,该方法适合不同权重比、不同线宽和低信噪比以及大测量范围的情况进行光谱拟合,并且在信噪比为10 dB的情况下得到拟合度均超过0.96。实验结果表明,该方法适用于多种泵浦功率情况下的布里渊散射谱的特征提取,优于传统BP神经网络算法且具有较高的拟合精度。     

Highly Efficient Blue Thermally Activated Delayed Fluorescence Emitters Based on Multi-Donor Modified Oxygen-Bridged Boron Acceptor

The employment of thermally activated delayed fluorescence (TADF) emitters is one of the most promising ways to realize the external quantum efficiency (EQE) of over 25% for organic light-emitting diodes (OLEDs). In addition, the TADF emitter based on oxygen-bridged boron (BO) fragment can maintain blue emission with high color purity. Herein, we constructed two blue TADF emitters, 3TBO and 5TBO, for OLEDs application. Both emitters consist of three donors linked at the oxygen-bridged boron acceptor. OLED devices based on 3TBO and 5TBO exhibited both high excellent device efficiency and high color purity with a maximum EQE; full-width at half-maximum (FWHM); and CIE coordinates of 17.3%, 47 nm, (0.120, 0.294), and 26.2%, 57 nm, (0.125, 0.275), respectively.     

γ-羟基丁酸的五氟卞基溴衍生化气相色谱/质谱分析

采用五氟卞基溴作为γ-羟基丁酸(GHB)的烷基化试剂,衍生化后进行了产物的净化处理,以降低衍生化产物对仪器的不利影响。考察了该衍生化反应的一些影响因素,优化了衍生化条件,并对衍生化产物进行了质谱解析。在此基础上考察了该方法的定量分析参数,结果表明,GHB在0.1～5mg/L的范围内,其衍生化产物具有良好的线性关系。在GHB浓度为1mg/L时,衍生化产物的相对标准偏差为13.4%。对添加尿样提取后进行衍生化并测试,检出限为10mg/L,与GHB的检测阈值相应。该研究建立了GHB分析的又一衍生化GC方法,可用于饮料中及生物样品中GHB的分析。     

氨水工质浓度可调型功冷联供循环

本文提出一个新型氨水工质功冷联供循环,由氨水Rankine子循环和氨吸收式制冷子循环通过吸收、分离及换热过程耦合而成,可采用燃气轮机排烟等中低温热源驱动.通过设置分流、吸收式冷凝实现系统内氨水工质浓度变换,兼顾动力子循环加热蒸发和冷凝过程不同的浓度需求,达到改善换热过程匹配和提高透平作功能力的目的.计算表明,当透平进气温度为450℃时,循环热效率达25%～28%,??效率达45%～53%;且存在最佳分流比使热效率及??效率达到最佳.     

A Fault Detection Method for Electrohydraulic Switch Machine Based on Oil-Pressure-Signal-Sectionalized Feature Extraction

A turnout switch machine is key equipment in a railway, and its fault condition has an enormous impact on the safety of train operation. Electrohydraulic switch machines are increasingly used in high-speed railways, and how to extract effective fault features from their working condition monitoring signal is a difficult problem. This paper focuses on the sectionalized feature extraction method of the oil pressure signal of the electrohydraulic switch machine and realizes the fault detection of the switch machine based on this method. First, the oil pressure signal is divided into three stages according to the working principle and action process of the switch machine, and multiple features of each stage are extracted. Then the max-relevance and min-redundancy (mRMR) algorithm is applied to select the effective features. Finally, the mini batch k-means method is used to achieve unsupervised fault diagnosis. Through experimental verification, this method can not only derive the best sectionalization mode and feature types of the oil pressure signal, but also achieve the fault diagnosis and the prediction of the status of the electrohydraulic switch machine.     

An Encryption Algorithm for Region of Interest in Medical DICOM Based on One-Dimensional eλ-cos-cot Map

Today, with the rapid development of the Internet, improving image security becomes more and more important. To improve image encryption efficiency, a novel region of interest (ROI) encryption algorithm based on a chaotic system was proposed. First, a new 1D eλ-cos-cot (1D-ECC) with better chaotic performance than the traditional chaotic system is proposed. Second, the chaotic system is used to generate a plaintext-relate keystream based on the label information of a medical image DICOM (Digital Imaging and Communications in Medicine) file, the medical image is segmented using an adaptive threshold, and the segmented region of interest is encrypted. The encryption process is divided into two stages: scrambling and diffusion. In the scrambling stage, helical scanning and index scrambling are combined to scramble. In the diffusion stage, two-dimensional bi-directional diffusion is adopted, that is, the image is bi-directionally diffused row by column to make image security better. The algorithm offers good encryption speed and security performance, according to simulation results and security analysis.     

薄层色谱-紫外可见分光光度法同时测定食品中的苏丹红Ⅰ～Ⅳ

建立了测定食品中苏丹红色素含量的新方法——薄层色谱-紫外可见分光光度法,对影响测定的因素如样品预处理方式、展开剂等进行了讨论,检测苏丹红Ⅰ~Ⅳ的线性范围分别为0.5~14μg/mL,0.5~10μg/mL,0.5~15μg/mL,0.5~15μg/mL,线性相关系数均为0.999,检出限均为0.05μg/mL。该方法测定结果与国家标准方法测定结果基本一致。     

荧光聚合物研究进展

本文总结了近年来荧光聚合物的研究进展,主要介绍了荧光聚合物的分类：按其溶解性能可分为非水溶性、水溶性和两亲荧光聚合物三大类;荧光聚合物的合成：荧光化合物为引发剂、荧光化合物为链转移剂、荧光功能单体聚合、荧光化合物与聚合物的化学键合、非荧光功能单体聚合等五种制备荧光聚合物的设计合成方法;荧光聚合物的应用：荧光聚合物在荧光化学传感器、荧光分子温度计、荧光造影、药物载体、荧光探针等方面的应用研究。     

Established Liposome-Coated IMB16-4 Polymeric Nanoparticles (LNPs) for Increasing Cellular Uptake and Anti-Fibrotic Effects In Vitro

As a global health problem, liver fibrosis still does not have approved treatment. It was proved that N-(3,4,5-trichlorophenyl)-2(3-nitrobenzenesulfonamide) benzamide (IMB16-4) has anti-hepatic fibrosis activity. However, IMB16-4 displays poor water solubility and poor bioavailability. We are devoted to developing biodegraded liposome-coated polymeric nanoparticles (LNPs) as IMB16-4 delivery systems for improving aqueous solubility, cellular uptake, and anti-fibrotic effects. The physical states of IMB16-4−LNPs were analyzed using a transmission electron microscope (TEM), high-performance liquid chromatography (HPLC), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD) and differential scanning calorimeter (DSC). The results show that IMB16-4−LNPs increased the drug loading compared to liposomes and enhanced cellular uptake behavior compared with IMB16-4−NPs. In addition, IMB16-4−LNPs could repress the expression of hepatic fibrogenesis-associated proteins, indicating that IMB16-4−LNPs exhibited evident anti-fibrotic effects.     

Optimization of Naringenin Nanoparticles to Improve the Antitussive Effects on Post-Infectious Cough

Naringenin (NRG) is a natural compound with several biological activities; however, its bioavailability is limited owing to poor aqueous solubility. In this study, NRG nanoparticles (NPs) were prepared using the wet media milling method. To obtain NRG NPs with a small particle size and high drug-loading content, the preparation conditions, including stirring time, temperature, stirring speed, and milling media amount, were optimized. The NRG (30 mg) and D-α-tocopherol polyethylene glycol succinate (10 mg) were wet-milled in deionized water (2 mL) with 10 g of zirconia beads via stirring at 50 °C for 2 h at a stirring speed of 300 rpm. As a result, the NRG NPs, with sheet-like morphology and a diameter of approximately 182.2 nm, were successfully prepared. The NRG NPs were stable in the gastrointestinal system and were released effectively after entering the blood circulation. In vivo experiments indicated that the NRG NPs have good antitussive effects. The cough inhibition rate after the administration of the NRG NPs was 66.7%, cough frequency was three times lower, and the potential period was 1.8 times longer than that in the blank model group. In addition, the enzyme biomarkers and histological analysis results revealed that the NRG NPs can effectively regulate the inflammatory and oxidative stress response. In conclusion, the NRG NPs exhibited good oral bioavailability and promoted antitussive and anti-inflammatory effects.