Self-emulsifiable soybean oil phosphate ester polyols for low-VOC corrosion resistant coatings

A series of soybean oil phosphate ester polyols (SOPEP) was prepared by reaction of fully epoxidized soybean oil with phosphoric acid and simultanoeous hydrolysis in the presence of a polar solvent. The polyols were characterized by determination of acid value, oxirane number, hydroxyl value, molecular weight (GPC), and FTIR spectra. These polyols with varying amounts of acid phosphate groups could be self-emulsified to form aqueous dispersions after neutralization with organic base. These aqueous dispersion showed varying degrees of stability and their appearance ranged from opaque dispersions to translucent to clear solutions. Waterborne coating compositions were prepared using these aqueous dispersions as principal components and their thermally cured film properties were studied. it was found that by careful selection and formulation, SOPEPs can be successfully used for low-VOC waterborne coating formulations. SOPEPs with 3.5% phosphate ester content showed visibly superior corrosion resistance properties.     

Jump Filter: A Dynamic Sketch for Big Data Governance

With the rapid development of information technology, the volume of data maintains exponential growth, and the value of data is hard to mine. This brings significant challenges to the efficient management and control of each link in the data life cycle, such as data collection, cleaning, storage, and sharing. Sketch uses a hash table/matrix/bit vector to track the core characteristics of data, such as frequency, cardinality, and membership. This mechanism makes the sketch itself metadata, which has been widely used in sharing, transmission, update, and other scenarios. The rapid flow characteristic of big data has spawned dynamic sketches. The existing dynamic sketches have the advantage of expanding or shrinking the capacity with the size of the data stream by dynamically maintaining a list of probabilistic data structures in a chain or tree structure. However, there are problems with the excessive space overhead and time overhead increasing with the increase in the dataset cardinality. This paper designs a dynamic sketch for big data governance on the basis of the advanced jump consistent hash. This method can simultaneously achieve the space overhead that grows linearly with the dataset cardinality and the constant time overhead of data processing and analysis, effectively supporting the demanding big data processing and analysis tasks for big data governance. The validity and efficiency of the proposed method are verified by the comparison with traditional methods on various synthetic and natural datasets.     

Cross-source Data Error Detection Approach Based on Federated Learning

With the emergence and accumulation of massive data, data governance has become an important manner to improve data quality and maximize data value. Specifically, data error detection is a crucial step to improve data quality, which has attracted wide attention from both industry and academia. At present, various detection methods tailored for a single data source have been proposed. However, in many real-world scenarios, data are not centrally stored or managed. Data from different sources but highly correlated can be employed to improve the accuracy of error detection. Unfortunately, due to privacy/security issues, cross-source data are often not allowed to be integrated centrally. To this end, this paper proposes FeLeDetect, a cross-source data error detection method based on federated learning, so as to improve the error detection accuracy by using cross-source data information on the premise of data privacy. First, a Graph-based Error Detection Model, namely GEDM, is presented to capture sufficient data features from each data source. On this basis, the paper then designs a federated co-training algorithm, namely FCTA, to collaboratively train GEDM by using different cross-source data without privacy leakage of data. Furthermore, the paper designs a series of optimization methods to reduce communication costs during federated learning and manual labeling efforts. Finally, extensive experiments on three real-world datasets demonstrate that (1) GEDM achieves an average improvement of 10.3% and 25.2% in terms of the $F1$ score in the local and centralized scenarios, respectively, outperforming all the five existing state-of-the-art methods for error detection; (2) the F1 score of the error detection by FeLeDetect is 23.2% on average higher than that by GEDM in the local scenario.     

基于logit模型的生物质供应链集成优化

针对农户的选择偏好,引入基于logit的离散计量分析模型,以研究秸秆收购价格、成本及政府补贴对农户生物质供应选择行为的影响。在此基础上,应用Stackelberg博弈模型对生物质供应链中加工厂、收集站和农户等不同利益主体之间的决策进行分析,确定了最优的生物质收购价格及收集站的服务半径。最后,通过算例分析验证了上述优化决策模型的有效性。研究表明,农户供应模式的选择与其对效用的敏感程度有关;政府实行补贴激励不仅能提高农户将秸秆直接送至加工厂的积极性,对加工厂和收集站的利益也有不同程度的提高。     

Presumed joint probability density function model for turbulent combustion

A presumed joint probability density function (pdf) model of turbulent combustion is proposed in this paper. The turbulent fluctuations of reactant concentrations and temperature are described using a presumed joint pdf of three-dimensional Gaussian distribution based on first and second-order moments of reactant concentration and temperature. Mean reaction rates in both premixed and diffusion combustion are obtained by mean of integration under the presumed joint pdf. This model is applied to predict turbulent premixed combustion of sudden-expansion flow and turbulent jet diffusion methane/air flame. For turbulent premixed combustion, the predicted results of temperature distribution and maximum temperature using the proposed model agree better with the experiment than that using the conventional eddy-breakup (EBU)-Arrhenius model. For the turbulent jet diffusion methane/air flame, the predicted results of velocity, temperature and species concentrations using the proposed model, the Arrhenius, EBU-Arrhenius, and laminar flamelet models are compared with experiment data. Results obtained with the presumed pdf model and that obtained by the laminar flamelet model both agree well with experiments, while results using the other models have a significant difference. The presumed joint pdf model is used to predict the NO formation process, which also agrees well with the experiment data. A unified turbulent combustion model, in which both effects of turbulent diffusion and chemical dynamics are considered, is established for both premixed and diffusion combustion, especially for the process of NO formation.     

3位取代苯酞衍生物新的简便合成方法

3位取代的苯酞类化合物具有广泛的生理活性 ,通过一个新的简便合成路线高收率的得到了 3位取代苯酞衍生物。新工艺中最重要的一步反应是 3 乙氧基苯酞与丙二酸二乙酯的缩合 ,也是与Trost等人的合成路线主要的不同之处。     

互联网金融平台中高违约风险用户识别算法

在我国金融科技不断创新的背景下,互联网金融平台中通过网络分析技术开展用户风险识别已经成为当前的热点技术发展方向。以某互联网金融平台的用户交易数据为对象,通过分析其中借贷逾期违约的传播行为,提出通过传播特征构建模型算法识别互联网金融平台的高风险用户。在构建基于阈值传播和随机传播的SIS模型和SIR模型基础上,将模型转换为可评价用户风险值的算法,并进一步与实际违约数据进行验证对比。对比结果显示在前5%和10%高风险群体划分条件下,算法具有较高的召回率和良好的结构关联性。     

基于P-Ifourier观测矩阵的宽带压缩感知方法

针对压缩感知理论在宽带频谱感知领域应用时重构精度差的问题,根据平稳信号在频域所表现出的稀疏特性,提出了一种基于P-Ifourier(Partial-Inverse fourier)观测矩阵的宽带压缩频谱感知方法。新方法首先将频谱感知问题建模为一个典型的压缩感知问题,利用相关性能优良的标准正交傅里叶基构造观测矩阵,使观测矩阵具有良好的重构性能和重构精度。仿真结果表明,相比于高斯随机观测矩阵和嵌入式混沌序列-循环Toeplitz结构观测矩阵,该方法在较低信噪比环境下能够明显降低信号重构的均方误差,并且在相同条件下的重构概率得到了明显改善。     

Methane activation without using oxidants over Mo/HZSM-5 zeolite catalysts

The effect of Mo loading, calcination temperature, reaction temperature and space velocity on the catalytic performance of methane dehydrogenation and aromatization without using oxidants over Mo/HZSM-5 has been studied. The XRD and BET measurements show that Mo species are highly dispersed in the channels of the HZSM-5 zeolite, resulting from the interaction between the Mo species and the zeolite, which also leads to a decrease in its crystallinity. The Brønsted acidity, the channel structure and the state and location of Mo species in the zeolite seem to be crucial factors for its catalytic performance. It was found that 2% Mo/HZSM-5 calcined at 773 K showed the best aromatization activity among the tested catalysts, the methane conversion being 9% at 1013 K with the selectivity to aromatics higher than 90%. The experimental results obtained from the variation of space velocity gave evidence that ethylene is an initial product. On the basis of these results a possible mechanism for methane dehydrogenation and aromatization has been proposed in which both the heterolytic splitting of methane in a solid acid environment and a molybdenum carbene-like complex as an intermediate are of significance.     

莠去津的生态毒理学及其环境行为学研究进展

莠去津是世界范围内广泛使用的除草剂,在曾经使用莠去津的地区的水体中均检测到莠去津的残留,由于莠去津属于内分泌干扰物,长期暴露在该有机污染物的环境中,势必对各种生物产生不良影响。介绍了莠去津的生态毒理学研究进展及其环境行为研究的内容和热点,着重评述了莠去津对哺乳动物的各种毒性、在土壤中的吸附机制和迁移以及治理措施。