Ablation of CdTe with 100 µs Nd:YAG laser pulses: dependence on target preparation method

The results of experimental studies of the ablation of CdTe with a pulsed Nd:YAG laser (wavelength 1064 nm) performed with 100 µs pulses and repetition time of 35 Hz are presented for the pulse energy range from 0.13 to 0.25 J. The main goal is to elucidate the dependence of the ablation process on the target preparation method. The investigation of the vapour stream intensity and chemical composition and their evolution with time are performed with a quadrupole mass spectrometer synchronized with the laser pulses. These studies are performed for three kinds of targets: a target made of CdTe bulk crystal (BC target), a target made of CdTe fine powder pressed under the pressure of 700 atm (PP target), and a target made of loose CdTe powder (N‐PP target). The applicability of these targets for obtaining high quality CdTe thin films is determined. The best chemical composition of the vapour stream can be obtained with the BC target. A major drawback of this target is the energetic threshold for ablation with Nd:YAG laser and resulting delay in the ablation process above the threshold. The advantage of powder targets over BC target is the lack of any ablation threshold or delay. Weaker angular dependence of the particle emission (associated with the surface roughness), if confirmed in further experiments, can be the most important advantage of PP and N‐PP targets. (© 2007 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Hodograph method of flow on two-dimensional manifold

For some special flows, especially the potential flow in a plane, using the hodograph method has obvious advantages. Realistic flows have a stream surface, namely, a two-dimensional manifold, on which the velocity vector of the flow lies on its tangent space. By introducing a stream function and a potential function, we establish the hodo- graph method for potential flows on a surface using the tensor analysis. For the derived hodograph equation, we obtain a characteristic equation and its characteristic roots, from which we can classify the type of the second-order hodograph equation. Moreover, we give some examples for special surfaces.     

化工过程分析与合成中序贯模块法与Aspen模拟的集成案例教学

化工过程分析与合成是化工类实践性非常强的专业课程,其主要手段是过程系统模拟。如何将化工过程分析与合成理论和模拟软件Aspen使用进行有机结合是此课程教学过程中需解决的重要问题。将化工过程分析与合成中的序贯模块法理论与相关的Aspen模拟进行有机融合教学,重点解决由于断裂流股选取不合适及初值设置不合理使模拟结果不收敛的问题。以此可使化工过程分析与合成理论教学更加生动,学生更易掌握,同时可提高学生对Aspen软件使用和解决实际问题的能力,为后续的工程设计打下坚实的基础。     

A novel method for immediate post-purification purity determination of fractions collected during high-throughput purification

Following purification, the fractions of purified samples typically are analyzed to determine the relative purities of each fraction. We report a novel technique for performing post-purification analysis immediately after each preparative LC/MS run. The Single Pass Compound Purification and Analysis System (SPACPASS) samples and stores a representative aliquot from the fraction while it is being collected. Demonstrated for '1:1' fraction collections, this method of fraction purity assessment streamlined sample processing by reducing post-purification sample handling. For 97% of the collected fractions, this technique provided relative purities to within +/-5% when compared with more traditional post-purification analysis.     

Detection of environmental polyorganosiloxanes (silicones) by silicon-29 NMR spectroscopy

The utility of ²⁹Si NMR spectroscopy has been demonstrated on sediment-like materials in the quantitative and qualitative determination of polyorganosiloxanes (silicones) in selected environmental samples. This technique is highly selective for polydimethylsiloxanes (PDMS) and is non-destructive to the sample. Also, specific identification of polyorganosiloxanes in sediment is possible, in contrast to previous methods which provided only quantitative information while consuming the sample. The detection limit for a 9 h experiment is approximately 45 ppm.     

Comparison of GC-ECD,GC-MS and GC-AED for the determination of polychlorinated biphenyls in highly contaminated marine sediments

Summary Electron capture detection (ECD), low- and highresolution mass spectrometry (LR- and HRMS), and atomic emission detection (AED) were compared for the gas chromatographic (GC) detection of polychlorinated biphenyls (PCBs) present in highly contaminated marine sediments. With ECD, LRMS, and even HRMS, detection was seriously disturbed by the complex matrix of the sediments, whereas AED in the chlorine-selective mode provided excellent PCB profiles without interferences. In addition, GC-AED provided congener independent responses, which enabled accurate quantitation of all PCBs based on a single calibration curve. However, because GC-AED was less sensitive than the other techniques studied, preparation of relatively large amounts of sample (10–20 g dry sediment) was required for most analyses.     

Methylation of tin(II) by methyl iodide in porewater

The methylation of tin(II) chloride by methyl iodide in porewater and formation of monomethyltin as the only methyltin product are described. A factorial experiment tested the effects of concentrations of tin(II), methyl iodide, and oxygen on monomethyltin yields. The experiments gave 0.18 to 12.8 % yield. Analysis of variance (ANOVA) calculations showed that all three variables were significant at the 95 % level. Comparison of yields in aqueous 23 g kg^?1 sodium chloride solutions to those in porewater and to those containing fulvic acid, salicylic acid, and EDTA showed that only fulvic acid significantly reduced yields. Reasons for this observation are discussed and the findings in the model system are related to methylation of tin compounds in sediments.     

油-气两相流管线系统振动分析及减振控制

针对油-气主管线系统的油-气两相流振动问题,建立了管线系统的动力学模型.分析计算油-气两相流在管道内的动力学特性,判断其流型;根据动量定理得到了管线各处受力的时间历程,从而确定管道系统受到的实际动载荷并求出其振动时间历程响应;分析管线系统的模态和影响振动模态的关键因素,采用合理加强原有支撑刚度和在恰当部位增加新支撑等措施,使管道系统的振动得到控制.分析结果与现场实测数据对比,验证了此振动分析方法的有效性.     

Measuring the Effectiveness of Adaptive Random Forest for Handling Concept Drift in Big Data Streams

We are living in the age of big data, a majority of which is stream data. The real-time processing of this data requires careful consideration from different perspectives. Concept drift is a change in the data’s underlying distribution, a significant issue, especially when learning from data streams. It requires learners to be adaptive to dynamic changes. Random forest is an ensemble approach that is widely used in classical non-streaming settings of machine learning applications. At the same time, the Adaptive Random Forest (ARF) is a stream learning algorithm that showed promising results in terms of its accuracy and ability to deal with various types of drift. The incoming instances’ continuity allows for their binomial distribution to be approximated to a Poisson(1) distribution. In this study, we propose a mechanism to increase such streaming algorithms’ efficiency by focusing on resampling. Our measure, resampling effectiveness (ρ), fuses the two most essential aspects in online learning; accuracy and execution time. We use six different synthetic data sets, each having a different type of drift, to empirically select the parameter λ of the Poisson distribution that yields the best value for ρ. By comparing the standard ARF with its tuned variations, we show that ARF performance can be enhanced by tackling this important aspect. Finally, we present three case studies from different contexts to test our proposed enhancement method and demonstrate its effectiveness in processing large data sets: (a) Amazon customer reviews (written in English), (b) hotel reviews (in Arabic), and (c) real-time aspect-based sentiment analysis of COVID-19-related tweets in the United States during April 2020. Results indicate that our proposed method of enhancement exhibited considerable improvement in most of the situations.     

A study of arsenic contamination by graphite furnace atomic absorption spectrometry in the Lami estuary in Fiji

The Suva–Lami coastal environment in Fiji is submitted to intense heavy metal input from land-based industrial activities. Therefore, continuous environmental monitoring is required in order to develop and implement environmental management programs for the Suva Lagoon. Current ongoing research includes investigation and monitoring of the short and long-term variation of several heavy metals in the sediments of Suva and Lami coastal environments based on the observations from past similar studies. This study, for the first time, reports the incidence of high arsenic (As) contamination in the sediments of the Lami estuary. The short term variations in the concentrations of As in Lami estuary were in the range of 1.0–334.0 mg kg⁻¹ (dry weight), which ascended gradually over a period of one year. A literature survey showed that this is the highest As contaminated site as compared to other studied sites in Fiji. The results indicate that immediate corrective waste management measures have to be practiced by the industrial community to lessen the impact of toxic metal loading in these vital areas of community life.