聚苯胺导电水凝胶基柔性应变传感器的制备

以蒙脱土改性聚丙烯酰胺水凝胶为基底,通过苯胺预渗透方法制备聚苯胺浓度梯度分布的聚苯胺/改性蒙脱土/聚丙烯酰胺（PANI/DCM/PAM）导电水凝胶（PDPG）,重点考察力学性能和应变传感性能。结果表明：壳聚糖改性蒙脱土的分散液稳定性明显提高;苯胺预渗透5 s、脱水5 h所得PDPG水凝胶的拉伸强度和断裂伸长率分别达到194 kPa和685%;改变苯胺预渗透时间可以调控PDPG水凝胶的导电性能和传感性能;当应变为0~400%时,PDPG水凝胶的灵敏度（GF）最高值为7.02。基于PDPG导电水凝胶的柔性应变传感器能够实现对人体全尺度运动的监测,并具有很好的循环稳定性。     

超、特高压交直流同塔多回线路杆塔的可靠度影响因素研究

为探究超、特高压交直流同塔多回线路杆塔可靠度指标的影响因素,并对构件可靠度指标的提高措施进行研究,依照国家现行规范,采用一阶可靠性方法(FORM)对河西走廊即将实施的±800kV/750kV交直流同塔多回线路杆塔进行了详细的可靠度分析。分析结果表明：可变荷载效应比重、线条风荷载效应比重、轴心受力强度、轴心受压稳定以及风荷载重现期对可靠度指标均有一定影响;通过提高结构重要性系数能够提高杆塔构件的可靠度指标,但同时伴随着塔重的增加以及更大经济的投入。     

Effect of pre-annealing treatment on the microstructure and mechanical properties of extruded Al-Zn-Mg-Cu alloy bars

Taking extruded Al-Zn-Mg-Cu alloy (7A04 alloy) bars as the research object, the effect and mechanism of pre-annealing treatments on the microstructure and mechanical properties of the aged alloy bars were investigated. The results show that a pre-annealing treatment at 350℃ for 15 h before a T6 treatment substantially reduced the sensitivity of the microstructure and mechanical properties of the extruded 7A04 aluminum alloy specimens toward the extrusion temperature. The average grain sizes of the specimens extruded at 390 and 430℃ after T6 treatment were 3.4 and 8.1 μm, respectively, and their elongations to failure were 7.0% and 9.2%, respectively. However, after pre-annealing + T6 treatment, the differences in both the grain sizes and the elongations of the specimens became small, i.e., their average grain sizes were 3.2 and 3.8 μm and their elongations were 12.0% and 13.3%, respectively. For the specimens extruded at the same temperature, pre-annealing treatment obviously improved the plasticity of the alloy, which is attributed to an increase in soft texture or to grain refinement in the specimens as a result of the pre-annealing + T6 treatment.     

紫外-可见分光光度法测定生大黄和醋大黄的总蒽醌含量

目的建立紫外分光光度法测定生大黄和醋大黄总蒽醌的含量。方法以大黄素为对照品,浓度为1%的醋酸镁甲醇溶液对其进行显色,在513 nm波长处测定吸光度,测定生大黄和醋大黄总蒽醌的含量。结果比较其含量差异,揭示大黄炮制前后总蒽醌的含量变化。结论该方法可作为大黄不同炮制品的质量控制方法。     

魔芋葡甘聚糖-乳清蛋白复合膜在琯溪蜜柚中的应用

研究魔芋葡甘聚糖与乳清蛋白复合涂膜对琯溪蜜柚的保鲜效果,为琯溪蜜柚的采后保鲜提供参考。将魔芋葡甘聚糖与乳清蛋白复配,制备成复合涂膜保鲜剂,对琯溪蜜柚进行涂膜保鲜,以无包装处理为对照,于常温下贮藏。通过测定琯溪蜜柚在贮藏期间的粒化指数、失重率、总糖、呼吸强度、乙醇含量、丙二醛含量、过氧化物酶活性,分析魔芋葡甘聚糖-乳清蛋白复合涂膜对琯溪蜜柚的保鲜效果。结果表明,常温贮藏120d时,魔芋葡甘聚糖与乳清蛋白涂膜组与无涂膜包装的对照组相比,可以减少果实失重,保护细胞膜,降低呼吸强度,抑制蜜柚的生理代谢,减少营养物质的损失,延缓粒化发生,其结果均显著优于对照组,能达到PE膜包装贮藏效果。     

一种减少LBG算法计算冗余量的有效改进算法

利用范数等价性和LBG算法迭代过程中数据是分区域收敛性质,提出新的码书训练算法FLC.该方法用计算量小的范数进行距离计算和尽早删除聚类过程中已趋稳定的区域,因而速度非常快.用典型的测试图像Lena和Barb作实验,表明FLC算法以峰值信噪比只比LBG算法少0.25dB～0.43dB为代价,把运行时间缩短为LBG的1/3.74～1/9.59.     

中国地热能发展路线图

 中国地热能潜力巨大,可以为应对气候变化作出显著贡献。本文提出中国地热能技术发展途径是“四化”,即多元化、规模化、精细化、绿色化;地热能产业发展道路是“三步走”,即近期——中低温利用与高温水热发电、中期——中低温水热发电、远期——干热发电与利用。政府的政策引导与产、学、研、用相结合是实现地热能技术与产业发展目标之关键。     

光背板互连技术研究进展

 光背板互连技术是近年来通信领域的研究热点,以高传输带宽、低损耗、低成本、无电磁干扰等优势具有广阔的应用前景。本文介绍互连光波导的结构模型及光背板的制备方法,综述近年来光背板相关的传输特性、耦合方式、应用系统研究等关键技术的重要进展,展望了对光背板互连技术的发展方向。     

Microstructure and stress rupture properties of polycrystal and directionally solidified castings of nickel-based superalloys

A new directionally solidified Ni-based superalloy DZ24, which is a modification of K24 alloy without rare and expensive elemental additions, such as Ta and Hf, was studied in this paper. The microstructure and stress rupture properties of conventionally cast and directionally solidified superalloys were comparatively analyzed. It is indicated that the microstructure of K24 alloy is composed of γ, γ′, γ/γ′ eutectics and MC carbides. Compared with the microstructure of K24 polycrystalline alloy, γ/γ′ eutectic completely dissolves into the γ matrix, the fine and regular γ′ phase reprecipitates, and MC carbides decompose to M₆C/M₂₃C₆ carbides after heat treatment in DZ24 alloy. The rupture life of DZ24 alloy is two times longer than that of K24 alloy. The more homogeneous the size of γ′ precipitate, the longer the rupture life. The coarsening and rafting behaviors of γ′ precipitates are observed in DZ24 alloy after the stress-rupture test.     

基于全局语义学习的文本情感增强方法研究

为解决弱情感倾向语料影响文本情感分类的问题,提出基于全局语义学习的文本情感增强方法。首先设计语料划分方法,将语料划分为强情感倾向语料与弱情感倾向语料,然后,从文本处理全过程及整体语义学习的角度出发,构造均值抽取与最大值抽取的语义提取方式及文档信息向量,改进基于循环神经网络的变分自编码器的语义学习过程,并用于学习强情感倾向语料中文本的词语序列特征与语义特征。基于此,对弱情感倾向语料进行重构,实现情感增强目标,最后,将经过情感增强的语料替换掉原来的弱情感倾向语料,再进行情感分类模型的训练与测试。结果表明:提出的文本情感增强方法能够提升情感分类效果,并使得Bert分类器对IMDb影评数据集的情感分类精确率达到了93.03%。