Stability of Optically Injected Two‐State Quantum‐Dot Lasers

Simultaneous two‐state lasing is a unique property of semiconductor quantum‐dot (QD) lasers. This not only changes steady‐state characteristics of the laser device but also its dynamic response to perturbations. In this paper we investigate the dynamic stability of QD lasers in an external optical injection setup. Compared to conventional single‐state laser devices, we find a strong suppression of dynamical instabilities in two‐state lasers. Furthermore, depending on the frequency and intensity of the injected light, pronounced areas of bistability between both lasing frequencies appear, which can be employed for fast optical switching in all‐optical photonic computing applications. These results emphasize the suitability of QD semiconductor lasers in future integrated optoelectronic systems where a high level of stability is required.     

AA3型连续流动分析仪测定天然泉水中的亚硝酸盐氮

建立应用AA3连续流动分析仪测定天然泉水中亚硝酸盐氮的方法。在0-5.00mg·L^-1线性区间内该方法线性关系好,较高的精密度和准确度,检出限低。与GB／T8538-2008饮用天然矿泉水检验方法中亚硝酸盐氮分光光度法相比,该方法具有自动进样、分析速率快、试剂耗量低等优点,可应用于大批量天然泉水分析.     

Injection attack detection using machine learning for smart IoT applications

Smart cities are a rapidly growing IoT application. These smart cities mainly rely on wireless sensors to connect their different components (smart devices) together. Smart cities rely on the integration of IoT and 5G technologies, and this has created a demand for a massive IoT network of connected devices. The data traffic coming from indoor wireless networks (e.g., smart homes, smart hospitals, smart factories , or smart school buildings) contributes to over 80% of the total data traffic of the current IoT network. As smart cities and their applications grow, security and privacy challenges have become a major concern for billions of IoT smart devices. One reason for this could be the oversight of handling security issues of IoT devices by their manufacturers, which enables attackers to exploit the vulnerabilities in these devices by performing different types of attacks, e.g., DDoS and injection attacks. Intrusion detection is one way to detect and mitigate the risk of such attacks. In this paper, an intrusion detection method was proposed to detect injection attacks in IoT applications (e.g. smart cities). In this method, two types of feature selection techniques (constant removal and recursive feature elimination) were used and tested by a number of machine learning classifiers (i.e., SVM, Random Forest, and Decision Tree). The T-Test was conducted to evaluate the quality of this proposed feature selection method. Using the public dataset, AWID, the evaluation results showed that the decision tree classifier can be used to detect injection attacks with an accuracy of 99% using only 8 features, which were selected using the proposed feature selection method. Also, the comparison with the most related work showed the advantages of the proposed intrusion detection method.     

水蒸汽蒸馏条件下鱼腥草中癸酰乙醛的高效提取及质谱定性

根据质谱学规律,剖析了在电子轰击下中药材鱼腥草中最关键的抗菌成分鱼腥草素(癸酰乙醛)的离子形成机理:癸酰乙醛的分子中存在两个-C=O,处于端位上的-C=O活性远大于-CH3,易失去H2O(M+-18)、CO(M+-28)等基团,产生较强的m/z180、170等离子碎片,此外,还易失去H2O+H2O(M+-36)、H2O+CO(M+-46)、CO+CO(M+-56)等基团,产生m/z162、152、142等离子碎片,这同实验中得到的癸酰乙醛质谱图完全吻合,纠正了文献中对癸酰乙醛的错误定性。在此基础上采用常规、Ar气保护和减压三种水蒸汽蒸馏方式提取鱼腥草挥发油,发现在惰性气氛或较低温度下有利于癸酰乙醛的提取,与常规水蒸汽蒸馏条件相比,Ar气保护下癸酰乙醛的含量从0.03%提高至0.53%,而减压条件下癸酰乙醛的溶出效率进一步提高至3.37%。研究表明常规水蒸汽蒸馏条件下癸酰乙醛易氧化分解是得到较少癸酰乙醛的根本原因。     

KMnO4-甲醛化学发光体系测定对乙酰氨基酚

基于对乙酰氨基酚在酸性介质下对KMnO4-甲醛化学发光体系强烈的增敏作用,建立了对乙酰氨基酚的流动注射化学发光测定方法。在最佳测试条件下,方法对对乙酰氨基酚的检出限(S/N=3)为1.0×10-10mol/L,线性范围为1.0×10-9～1.0×10-5mol/L对乙酰氨基酚,相关系数R为0.9993;对1.0×10-6mol/L的对乙酰氨基酚溶液平行测定11次,其RSD为1.1%。该方法可应用于药物中对乙酰氨基酚含量的测定。     

容量法测定硫酸镁注射液含量的不确定度评定

讨论了容量法测定硫酸镁注射液含量中的各种不确定度影响因素。通过对测定过程中各种影响因素进行分析评估,计算出各分量的不确定度,得出合成不确定度和扩展不确定度(k=2)。建立的不确定度计算方法适用于容量法测定硫酸镁注射液含量的不确定度评价。     

微量悬浮液进样-火焰原子吸收光谱法测定霜类化妆品中的铅

基于悬浮液技术处理霜类化妆品样品,将样品悬浮在1.00g/L琼脂溶液中制成均匀的悬浮液,采用微量进样技术建立了火焰原子吸收光谱法快速测定霜类化妆品中的铅。方法的检出限为0.030μg/mL,回收率为98.8%—101.5%。方法应用于实际样品的测定,结果满意。     

孔雀石绿-溴酸钾催化分光光度法测量亚硝酸根

采用流动注射技术和催化分光光度法相结合,研究了在磷酸介质中,亚硝酸根对溴酸钾氧化孔雀石绿褪色反应的催化作用及其动力学条件,建立了催化动力学光度法测定痕量亚硝酸根的新方法。方法检出限为0.9ng/mL,测定的线性范围为5—60ng/mL,且线性相关系数为0.9983,对于浓度为30ng/mL的亚硝酸根标准液测定的相对标准偏差仅为1.0。该方法适用范围广,具有较好的准确性、稳定性和灵敏度,且实验操作方便、快速。利用此方法测定不同水样中的亚硝酸根,加标回收率在88.6%—104.8%之间,分析结果令人满意。     

Rapid and Sensitive Determination of Aminocaproic Acid Injection by Raman Spectroscopy Combined with Chemometric Models

A quantitative approach for the determination of aminocaproic acid in commercial injections based on Raman spectroscopy and chemometrics has been developed. The Raman spectra of aminocaproic acid injections were analyzed by chemometric models including classical least squares (CLS), partial least squares (PLS), principal component regression (PCR), and stepwise multiple linear regression (SMLR). To compare the quantitative ability of the models, two key parameters, difference value and root mean square error, were calculated. The results indicated that the SMLR method was more efficient than the other methods. The difference value of the SMLR method was 90.5% and the root mean square error was 2.08. Raman determinations agreed with results obtained with a standard titration method (p < 0.05). The recovery was (99.7 ± 0.58)% and the repeatability was (99.2 ± 0.67)% by the SMLR method. These results show that the chemometric modeling of Raman spectra is a specific, rapid, and convenient alternative to quantify aminocaproic acid in injections.     

The Analysis of Galvanizing Preflux Solutions for Zinc by Flow Injection-Flame Atomic Absorption Spectrometry

Abstract

A direct flow injection flame atomic absorption spectrometry method of determining zinc salt solutions with concentrations of 100's g dm^?3 is reported. It was shown that high concentrations of KCl, NaCl and NH₄Cl do not significantly interfere with the determination of zinc in both the mg dm^?3 and g dm^?3 concentration ranges. Where g dm^?3 concentrations were determined a secondary spectral line at 307.6 nm was found satisfactory. Galvanizing preflux solutions were analyzed both after dilution to the mg dm^?3 range at 213.9 nm and directly injected at 307.6 nm. Precisions of better than 6.6% rsd were observed by the direct method compared with better than 4.8 by dilution techniques. Concentrations up to 110 g dm^?3 in zinc were determined the total salt content being greater than 300 g dm^?3.