Recent progress in advanced core-shell metal-based catalysts for electrochemical carbon dioxide reduction

Electrochemical carbon dioxide reduction（CO₂RR） plays an important role in solving the problem of high concentration of CO₂in the atmosphere and realizing carbon cycle. Core-shell structure has many unique features including tandem catalysis, lattice strain effect, defect engineering, which exhibit great potential in electrocatalysis. In this review, we focus on the advanced core-shell metal-based catalysts（CMCs） for electrochemical CO₂RR. The recent progress of ...     

Stability analysis of fractional order fuzzy cellular neural networks with leakage delay and time varying delays

In this paper we investigated the stability of fractional order fuzzy cellular neural networks with leakage delay and time varying delays. Based on Lyapunov theory and applying bounded techniques of fractional calculation, sufficient criterion are established to guarantee the stability. Hybrid feedback control is applied to derive the proposed results. Finally, numerical examples with simulation results are given to illustrate the effectiveness of the proposed method.     

Restricted testing conditions for the multilinear maximal operator

Restricted testing conditions were considered recently. For the maximal operator, Hytönen, Li and Sawyer [8] first obtained parental testing condition. Later, they [9] showed that it suffices to restrict testing to doubling cubes. Chen and Lacey [3] gave a similar restricted testing condition. In our paper, we discuss a version of the latter in the multilinear setting.

     

电絮凝-O3联合工艺处理页岩气压裂采出水

通过研究比较不同处理工艺对页岩气压裂采出水的效果,设计出电絮凝-O_3联合处理采出水的工艺。以化学需氧量(COD)、总悬浮物(TSS)为指标,讨论电絮凝-O_3联合工艺处理页岩气压裂采出水过程中pH、电流密度、电极间距、电解时间以及O_3通气量的影响。结果表明,当pH=8. 0、电流密度为1250A/m~2、极板间距为2cm、电解时间6min、O_3通气量为40L/h时,COD去除率为98. 3%,TSS的去除率为95. 9%,经过电絮凝-O_3联合处理后的采出水的色度、浊度、oil及NH_4-N等污染指标都达到了国家排放标准。     

Iron-catalyzed aerobic oxidative cross-coupling amidation of N,N-dimethylanilines

An efficient iron-catalyzed dehydrogenative cross-coupling amidation/imidation reaction between N,N-dimethylanilines and amides/imides is reported. The protocol uses an inexpensive and readily available Fe(NO₃)₃·9H₂O/O₂ catalytic system in the absence of additional ligands at room temperature.     

Two new quinolone alkaloids from Dianthus superbus var. superbus

Two new quinolone alkaloids, superbusines A (1) and B (2), were obtained from the whole plants of a Chinese medicinal plant, Dianthus superbus var. superbus. Their structures, featuring a glucosyl moiety linked with a rare 2-(hydroxymethyl)-5-(2-hydroxypropan-2-yl)phenol fragment, were determined on the basis of detailed spectroscopic analyses, and the absolute configurations were assigned by time-dependent density functional theory (TD-DFT)-based electronic circular dichroism (ECD) calculations. The two alkaloids were evaluated in a series of bioassays without showing antimicrobial, anti-inflammatory, antioxidant, cytotoxic and α-glucosidase inhibitory properties, while they exhibited slight protection against amyloid-β(Aβ)-induced injury on neuron SH-SY5Y cells.     

利用带无标签数据的双支持向量机对恒星光谱分类

恒星光谱分类是天文技术与方法领域一直关注的热点问题之一。随着观测设备持续运行和不断改进，人类获得的光谱数量与日俱增。这些海量光谱为人工处理带来了极大挑战。鉴于此，研究人员开始关注数据挖掘算法，并尝试对这些光谱进行数据挖掘。近年来，神经网络、自组织映射、关联规则等数据挖掘方法广泛应用于恒星光谱分类。在这些方法中，支持向量机(SVM)以其强大的学习能力和高效的分类性能而备受推崇。SVM的基本思想是试图在两类样本之间找到一个最优分类面将两类分开。SVM在求解时，通过将其最优化问题转化为具有(QP)形式的凸问题，进而得到全局最优解。尽管该方法在实际应用中表现优良，但为了进一步提高其分类能力，有的学者提出双支持向量机(TSVM)。该方法通过构造两个非平行的分类面将两类分开，每一类靠近某个分类面，而远离另一个分类面。TSVM的计算效率较之传统SVM提高近4倍，因此，自TSVM提出后便受到研究人员的持续关注，并出现若干改进算法。在恒星光谱分类中，一般分类算法都是根据历史观测光谱来建立分类模型，其中最关键的是对光谱进行人工标注，这项工作极为繁琐，且容易犯错。如何利用已标记的光谱以及部分无标签的光谱来建立分类模型显得尤为重要。因此，提出带无标签数据的双支持向量机(TSVMUD)用以实现对恒星光谱智能分类的目的。该方法首先将光谱分为训练数据集和测试数据集两部分；然后，在训练集上进行学习，得到分类依据；最后利用分类依据对测试集上的光谱进行验证。继承了双支持向量机的优势，更重要的是，在训练集上学习分类模型过程中，不仅考虑有标记的训练样本，也考虑部分未标记的样本。一方面提高了学习效率，另一方面得到更优的分类模型。在SDSS DR8恒星光谱数据集上的比较实验表明，与支持向量机SVM、双支持向量机TSVM以及K近邻(KNN)等传统分类方法相比，带无标签数据的双支持向量机TSVMUD具有更优的分类能力。然而，该方法亦存在一定的局限性，其中一大难题是其无法处理海量光谱数据。该工作将借鉴海量数据随机采样思想，利用大数据处理技术，来对所提方法在大数据环境下的适应性展开进一步研究。     

Qualitative and Quantitative Analyses of Gallic Acid and Methyl Gallate in Guyinye Residue Extracts and Turkish Gall Cream by High-Performance Thin-Layer Chromatography

JPC – Journal of Planar Chromatography – Modern TLC - The aim of this work was to establish qualitative and quantitative methods for studying Guyinye residue extracts and Turkish gall...     

早晚期混响划分对理想比值掩蔽在语音识别性能上的影响

真实环境中存在的噪声和混响会降低语音识别系统的性能。封闭空间中的混响包括直达声、早期反射和后期混响3部分,它们对语音识别系统具有不同的影响.我们研究了早期反射和后期混响的不同划分方法,以其中的早期反射为目标语音,计算出了不同的理想比值掩蔽并研究了它们对语音识别系统性能的影响;在此基础上,利用双向长短时记忆网络(BLSTM)估计理想比值掩蔽,测试它们对语音识别系统性能的影响.实验结果表明,基于Abel早期反射和后期混响的划分方法,理想比值掩蔽能够降低词错误率约2.8%;基于BLSTM的估计方法过低估计了理想比值掩蔽,未能有效提高语音识别系统的性能。