新型快挥发带电清洗剂对支柱复合绝缘子的溶胀效应及改进

直流硅橡胶绝缘子积污后对其绝缘性能和使用寿命有重要影响,一般通过带电清洗剂进行清洗,而在带电清洗剂下的溶胀效应带来的不利影响是有待解决的关键问题.对1、2号两种带电清洗剂挥发速率、硅橡胶在不同带电清洗剂清洗前后的溶胀性以及憎水性的变化进行了试验研究,并探讨了相应的机制.结果表明:1、2号带电清洗剂在25℃时的挥发速率分别为1095.78 g/(h·m2)和108.01 g/(h·m2);硅橡胶溶胀度随时间的增加而增大,溶胀10 h后达到饱和,饱和后的硅橡胶溶胀指数分别为55％和130％;1号带电清洗剂会削弱硅橡胶的憎水性,经过10 min浸泡,接触角下降了14％,2号带电清洗剂能增强硅橡胶的憎水性,经相同时间浸泡,接触角上升了6％,因而挥发性优良的带电清洗剂可以降低溶胀对硅橡胶绝缘子的不利影响.     

基于时序特征的发电机转子故障诊断方法

提出了一种利用时序特征进行发电机转子的故障诊断方法.利用时间序列法中的AR或ARMA模型得到的脉冲传递函数的特点,并根据不同故障类别振动信号的格林函数变化的规律性,提出了利用格林函数的统计量特征作为故障诊断的特征参数进行故障诊断的方法.     

Concepts,processing, and recent developments in encapsulating essential oils

By the virtue of their olfactory, physicochemical, and biological characteristics, essential oils (EOs) have drawn wide attention as additives in daily chemicals like perfume or personal care products. Nevertheless, they are physicochemically unstable and susceptible to degradation or loss. Microencapsulation offers a feasible strategy to stabilize and prolong release of EO. This review summarizes the recognized benefits and functional properties of various preparation and characterization methods, wherein innovative fabrication strategies and their formation mechanisms are especially emphasized. Progress in combining detecting/measuring technologies with kinetic modelling are discussed, to give an integral approach of controlling the dynamic release of encapsulated EOs. Moreover, new development trends of EOs capsules are also highlighted.     

Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters

RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as biomarkers. This study used machine learning to reduce gene/non-coding RNA features. Dorsolateral prefrontal cortex (dlpfc) RNA-seq data from 254 individuals was obtained from the CommonMind consortium. The average predictive accuracy for SCZ patients was 67% based on coding genes, and 96% based on long non-coding RNAs (lncRNAs). Machine learning is a powerful algorithm to reduce functional biomarkers in SCZ patients. The lncRNAs capture the characteristics of SCZ tissue more accurately than mRNA as the former regulate every level of gene expression, not limited to mRNA levels.     

A Strategy of Liquid-Grafted Slippery Sponges with Simultaneously Enhanced Absorption and Desorption Performances for Crude Oil Spill Remediation

Crude oil spill accidents pose a worldwide environmental threat. Oleophilic and hydrophobic absorbents that can selectively absorb oil from water have shown promising application potential in oil spill remediation. Simultaneous optimization of the absorption and desorption speed of absorbents towards oil is highly desirable for their recyclable usage, but remains a great challenge, because these two properties are generally conflicting. Here, a facile and ingenious strategy is proposed to tackle the above challenge via surface modification of porous sponges with highly flexible linear polydimethylsiloxane (LPDMS) brushes. The LPDMS brushes feature liquid-like properties at room temperature owing to its extremely low glass transition temperature, and act as a covalently-grafted lubrication layer throughout the 3D network channels of the sponge, which can minimize contact angle hysteresis and reduce friction between oil and sponge channel. Compared to the prevalent cross-linked polydimethylsiloxane (CPDMS) modification strategy, sponges modified with LPDMS brushes not only shows significantly enhanced absorption speed, but also exhibits superior desorption dynamics towards viscous crude oils. The design strategy of slippery sponges with liquid-like molecules may open a new avenue for developing advanced absorbents with simultaneously enhanced absorption and desorption performances for liquid separation and purification applications.     

Preparation and Bioactivity of Iridium(III) Phenanthroline Complexes with Halide Ions and Pyridine Leaving Groups

A series of half-sandwich structural iridium(III) phenanthroline (Phen) complexes with halide ions (Cl⁻, Br⁻, I⁻) and pyridine leaving groups ([(η⁵-Cp^X)Ir(Phen)Z](PF₆)_n, Cp^x: electron-rich cyclopentadienyl group, Z: leaving group) have been prepared. Target complexes, especially the Cp^xbiph (biphenyl-substituted cyclopentadienyl)-based one, showed favourable anticancer activity against human lung cancer (A549) cells; the best one ( Ir8 ) was almost five times that of cisplatin under the same conditions. Compared with complexes involving halide ion leaving groups, the pyridine-based one did not display hydrolysis but effectively caused lysosomal damage, leading to accumulation in the cytosol, inducing an increase in the level of intracellular reactive oxygen species and apoptosis; this indicated an anticancer mechanism of oxidation. Additionally, these complexes could bind to serum albumin through a static quenching mechanism. The data highlight the potential value of half-sandwich iridium(III) phenanthroline complexes as anticancer drugs.     

HZSM5分子筛膜复合二氧化锡对甲烷的气敏性能研究

采用液相氧化法制备二氧化锡纳米颗粒,并利用浸渍法制备Pd负载二氧化锡纳米材料,通过丝网印刷得到气敏传感膜并在其表面印刷分子筛层。基于动态气敏测试系统探究传感器对甲烷气体的灵敏度及其在CO和乙醇干扰气体下的选择性。研究结果表明,在Pd-SnO₂敏感层表面印刷Pd-HZSM5层后,传感器对甲烷的响应能力显著提高,并且在体积分数为5×10^-4的CO存在时,对甲烷的选择性也得到明显的提升。同样,在质量分数为2×10^-5乙醇的存在下,传感器对甲烷的响应也没有受到干扰。通过对分子筛进行表征和催化分析,发现Pd-HZSM5对CO的催化效率可达100%,使得CO在扩散过程中被催化氧化,这可能是印刷Pd-HZSM5分子筛膜从而提高传感器选择性的主要原因。同时研究还表明,在敏感层表面印刷分子筛层并不会影响传感器的响应和恢复速率。     

岩溶区石灰石矿山溶洞探测分析

江西南城南方水泥有限公司蒋源矿区矿山开采过程中发现了溶洞,并利用空洞仪（一种物探设备）对溶洞探测并采集数据以及使用RTK对溶洞分布情况进行坐标数据采集。经过对空洞仪成像分析,结合现场采集的数据制作出溶洞空间分布图,精确掌握溶洞发育的规模、空间状态,对制定岩溶发育区域矿山开采、爆破施工方案、应急预案,以及确保施工安全起到了非常重要的作用。     

Effect and Evolution of Oxide Film in the HDH-Ti Powder Surface on Densification Behavior During Sintering

Metallurgical and Materials Transactions A - In this work, we used hydride-dehydride Ti (HDH-Ti) powders (with the oxygen levels of 0.17 and 0.51 wt pct, respectively) combined with microstructural...     

日本超高温结构用金属材料的研究现状

简要介绍了日本围绕燃气轮机用关键超高温金属结构材料所展开的研究开发工作,包括Ni基超合金、耐热金属间化合物、Nb基超合金及其复合材料。Ni基超合金仍是当前燃气轮机用超高温结构的主要材料,但其使用温度的上升潜力已经不多,用新的超高温材料替代Ni基超合金是燃气轮机用材的发展趋势,金属材料中耐热金属间化合物和Nb基复合材料是今后关注的焦点。