Na2S-Mediated One-Pot Selective Deoxygenation of α-Hydroxyl Carbonyl Compounds including Natural Products

A practical method for the deoxygenation of α-hydroxyl carbonyl compounds under mild reaction conditions is reported here. The use of cheap and easy-to-handle Na₂S·9H₂O as the reductant in the presence of PPh₃ and N-chlorosuccinimide (NCS) enables the selective dehydroxylation of α-hydroxyl carbonyl compounds, including ketones, esters, amides, imides and nitrile groups. The synthetic utility is demonstrated by the late-stage deoxygenation of bioactive molecule and complex natural products.     

A Novel Method for Pattern Recognition of GIS Partial Discharge via Multi-Information Ensemble Learning

Partial discharge (PD) is the main feature that effectively reflects the internal insulation defects of gas-insulated switchgear (GIS). It is of great significance to diagnose the types of insulation faults by recognizing PD to ensure the normal operation of GIS. However, the traditional diagnosis method based on single feature information analysis has a low recognition accuracy of PD, and there are great differences in the diagnosis effect of various insulation defects. To make the most of the rich insulation state information contained in PD, we propose a novel multi-information ensemble learning for PD pattern recognition. First, the ultra-high frequency and ultrasonic data of PD under four typical defects of GIS are obtained through experiment. Then the deep residual convolution neural network is used to automatically extract discriminative features. Finally, multi-information ensemble learning is used to classify PD types at the decision level, which can complement the shortcomings of the independent recognition of the two types of feature information and has higher accuracy and reliability. Experiments show that the accuracy of the proposed method can reach 97.500%, which greatly improves the diagnosis accuracy of various insulation defects.     

Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval

Cross-lingual document retrieval, which aims to take a query in one language to retrieve relevant documents in another, has attracted strong research interest in the last decades. Most studies on this task start with cross-lingual comparisons at the word level and then represent documents via word embeddings, which leads to insufficient structure information. In this work, the cross-lingual comparison at the document level is achieved through the cross-lingual semantic space. Our method, MDL (deep multilabel multilingual document learning), leverages a six-layer fully connected network to project cross-lingual documents into a shared semantic space. The semantic distances can be calculated when the cross-lingual documents are transformed into embeddings in semantic space. The supervision signals are automatically extracted from the data and then used to construct the semantic space via a linear classifier. The ambiguity of manual labels could be avoided and the multilabel supervision signals can be acquired instead of a single label. The representation of the semantic space is enriched by multilabel supervision signals, which improves the discriminative ability of the embeddings. The MDL is easy to extend to other fields since it does not depend on specific data. Furthermore, MDL is more efficient than the models training all languages jointly, since each language is trained individually. Experiments on Wikipedia data showed that the proposed method outperforms the state-of-the-art cross-lingual document retrieval methods.     

超分子均苯四甲酸/对羟基吡啶水凝胶中纤维状聚集体结构与性能的关系

采用1H-NMR和FT-IR表征了在摩尔比1∶4条件下,由均苯四甲酸和对羟基吡啶合成的一种凝胶因子(G2).通过在室温下冷却G2的水溶液,形成了超分子水凝胶.采用扫描电子显微镜(SEM)、示差扫描量热仪(DSC)和流变仪等多种技术研究了冷却速率对凝胶的组装纤维结构及宏观性能的影响.随着冷却速度的降低,纤维尺寸变大而凝胶的稳定性降低.因此,可以通过环境因素来控制凝胶的性能.采用流变仪分析表明凝胶具有高的机械强度.DSC分析结果表明随着凝胶因子浓度的增加,凝胶中可冻结水的含量降低.相对于在摩尔比1∶2条件下,由均苯四甲酸和对羟基吡啶合成的凝胶因子G1,在相同浓度下,G2在更高的最低凝胶因子浓度(MGC)使水凝胶,并且得到的凝胶具有更低的凝胶-溶胶破坏温度(Tgel).利用环境扫描电镜(ESEM)直接观测了实际含水状态下凝胶的形貌,结果表明采用常规SEM观测到的纤维状网络与ESEM的结果一致,这说明在干燥过程中形貌并未发生太大变化.组装体结构和性能关系有助于认识凝胶形成机理并使凝胶满足不同的应用.     

聚氨酯高分子表面活性剂的研究进展

在乳液聚合中,传统的小分子表面活性剂发挥着非常关键的作用,但是它们容易在漆膜中发生迁移,最终降低涂膜的耐水性;而高分子表面活性剂的使用,可以较好的避免表面活性剂的解析及其在膜中的迁移.其中,聚氨酯类的高分子表面活性剂由于具有良好的表面活性、优异的耐寒性、弹性、高光泽以及其软硬度可随温度变化,耐有机溶剂性好等优点, 已经成为研究的热点.本文综述了近几年来,聚氨酯表面活性剂的种类、合成以及应用的进展,并对其进行了讨论.     

基于金纳米棒-壳聚糖复合膜的葡萄糖生物传感器

本文采用金纳米棒-壳聚糖复合膜固定葡萄糖氧化酶构建电流型葡萄糖生物传感器.通过电化学交流阻抗法和循环伏安法对酶膜状态进行了表征,得到了相应的等效电路和动力学参数.实验结果表明,金纳米棒-壳聚糖复合膜可以辅助电子传递,提高电极的电流响应,并使生物传感器的使用温度范围有很大的扩展.此传感器表现出对葡萄糖溶液浓度的优良响应,线性范围在2.78×10^-5mol/L—2.22×10^-3mol/L,响应灵敏度约为7.819μA·cm^-2(mmol/L)^-1,表观米氏常数为10mmol/L.本工作还研究了温度和溶液pH值对电极电流响应的影响.     

Genetically engineered materials: Proteins and beyond

Information-rich molecules provide opportunities for evolution. Genetically engineered materials are superior in that their properties are coded within genetic sequences and could be fine-tuned. In this review, we elaborate the concept of genetically engineered materials(GEMs) using examples ranging from engineered protein materials to engineered living materials. Proteinbased materials are the materials of choice by nature. Recent progress in protein engineering has led to opportunities to tune...     

MAGNETOMECHANICAL BEHAVIORS OF GIANT MAGNETOSTRICTIVE MATERIALS

The Laves phase alloy Tb-Dy-Fe, commercially known as Terfenol-D, exhibits the giant room-temperature magnetostriction at moderate field strength of a few kOe due to its combination of high magnetostriction and low magnetocrystalline anisotropic energy. Thus, this pseudobinary rare earth iron compound has found quite a number of applications such as in magnetomechanical transducers, actuators and adaptive vibration control systems. The simultaneous measurements of magnetostriction and magnetization at various fixed compressive pre-stresses applied in the axial direction for Tb0.3Dy0.7Fe1.95 samples are presented. The results show that the magnetostriction increases with increasing compressive stress until it reaches 1742 ×10^6 under 25 MPa, so does the coercive magnetic field. And the hysteresis loop area for magnetization and magnetostriction also increases with the increment of applied compressive stresses. But the maximum magnetic susceptibility χ（dM/dH） is obtained under zero stress field and the strain derivative dλ/dH increases to the highest amplitude of 0.039×10^-6 A^-1m at a stress level of 5 MPa. In the strain versus magnetization intensity curve, the initial fiat stage mainly consisting of a 180° domain wall motion becomes shorter with increasing stress. It means more initial domains are driven to the transversal direction under the compressive stress before magnetization, which is consistent with the improvement of the magnetostriction.     

HIGH-FREQUENCY VIBRATIONS OF CORRUGATED CYLINDRICAL PIEZOELECTRIC SHELLS

Coupled extensional and flexural cylindrical vibrations of a corrugated cylindrical piezoelectric shell consisting of multiple pieces of circular cylindrical surfaces smoothly connected along their generatrix are studied. To validate the results for the case of relatively thick shells or equivalently high-frequency modes with short wavelengths, existing analysis is extended by considering shear deformation and rotatory inertia. An analytical solution is obtained. Based on the solution, resonant frequencies and mode shapes are calculated.     

单链表在离子发动机光学系统粒子模拟中的应用

 目前离子发动机光学系统数值模拟大多采用PIC方法,由于该方法需要跟踪单个粒子的运动,因此需要存储每个粒子的位置信息与运动信息。传统的粒子模拟程序中,保存粒子信息大多采用数组的方式,但是采用这种方式存在弊端,例如对粒子总数变化的自适应不好。基于此开发了一种使用链式存储结构的粒子模拟程序,该程序使用带头节点的单向链表存储粒子信息。使用基于链式存储结构的PIC方法对离子发动机光学系统进行了粒子模拟,验证了链式粒子信息存储方法在粒子模拟中的可用性。模拟表明：（1）在粒子模拟中采用链式存储结构存储粒子信息,无需预先指定最大粒子总数,程序可自适应粒子总数的变化,因此无需进行试算,节省了计算时间;（2）在粒子模拟中采用链式存储结构,由于不存在内存资源的浪费,因而可显著提高程序的存储效率与计算效率。