富氢气氛下CeO_2-NiO纳米棒催化剂的CO选择性氧化性能研究

采用水热法制备了一系列不同Ce/Ni物质的量比的纳米棒CeO_2(x)-NiO催化剂。运用低温N_2吸附-脱附、XRD、TEM、拉曼光谱、H_2-TPR及XPS等技术对催化剂的形貌、结构进行了表征。考察了Ce/Ni物质的量比对CeO_2(x)-NiO催化剂形貌及富氢气氛下CO选择性氧化(CO PROX)反应性能的影响。TEM测试结果表明,调变Ce/Ni物质的量比可制得不同粒径的CeO_2(x)-NiO纳米棒催化剂。H_2-TPR测试结果表明,将NiO掺入CeO_2可提升Ce O_2(x)-NiO催化剂的氧化还原能力。拉曼光谱及XPS测试结果表明,镍含量较低时,CeO_2(x)-NiO催化剂表面活性氧物种及氧空位含量均较多,利于提升其催化性能。CO PROX催化性能测试结果显示,镍含量较低的CeO_2(0.89)-NiO纳米棒催化剂的活性和选择性最好,在170-220℃的反应条件下,CO转化率为100%,CO_2选择性为52%。     

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.     

一种减小梯度线圈产生的涡流的方法

从原理上分析了减小梯度线圈的半径可以减小其在带抗涡流板磁体中引起的涡流.然后采用目标场方法设计了一组半径缩减的梯度线圈，并用Biot-Savart定理计算了这个梯度线圈的梯度线性区.最后通过磁共振成像实验证明了原理中分析得出的结论. 关键词： 梯度线圈 涡流 目标场 流函数     

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.     

On the applications of Extremal Graph Theory to Coding Theory and Cryptography

Explicit constructions in Extremal graph theory give appropriate lower bound for Turan type problems. In the case of prohibited cycles explicit constructions can be used in various problems of Information Security. We observe algebraic constructions of regular graphs of large girth and graphs with large cycle indicator and describe some algorithms of Coding Theory and Cryptography based on such special families of graphs.     

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.     

Determination of lead in sediments and sewage sludge by on-line hydride-generation axial-view inductively-coupled plasma optical-emission spectrometry using slurry sampling

Among the “traditional” hydride-forming elements, lead is probably the most difficult, and its determination in this form has rarely been reported in the literature. In this paper a simple and rapid method, axial-view inductively-coupled plasma optical-emission spectrometry using on-line hydride generation (HG–ICP–OES) from samples prepared as slurry, is proposed for determination of lead in environmental samples. The samples (20–50 mg, particle size ≤120 μm) were treated with 1 mL aqua regia in a 40-kHz ultrasonic bath for 60 min. The slurry was diluted to a final volume of 50 mL with a 10% m/v solution of (NH₄)₂S₂O₈. The concentrations of NaBH₄, tartaric acid, and (NH₄)₂S₂O₈, used for on-line plumbane generation were optimized by means of a complete factorial analysis applied to an aqueous standard solution and to the slurry of a sediment certified reference material (CRM). External calibration against aqueous standards in the concentration range 10–100 μg L⁻¹ was used for analysis of six CRM—three marine sediments, one river sediment, and two sewage sludges. Analysis of the filtered slurry showed that Pb was only partially extracted into the liquid phase. Several major concomitants tested did not affect the Pb signal. The detection limit (3s, n = 10) for 20 mg sample in a final volume of 50 mL was 5.0 μg g⁻¹. Tin was the only other hydride-forming analyte that could be determined satisfactorily with Pb; for tin the detection limit was 1.0 μg g⁻¹. The values obtained for Pb and Sn were not significantly different from the certified concentrations, according to the t-test at the 95% confidence level. Nine river sediments collected locally were also analyzed and the concentrations were in agreement with results obtained after total digestion.     

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.