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Polarity-Free Resistive Switching Characteristics of CuxO Films for Non-volatile Memory Applications
血浆氧化过程在房间温度种的 CuxO 电影的抵抗切换特征被调查。双极、单极的稳定的抵抗切换行为被重复当前电压的大小观察并且证实。RESET 水流依赖于集合依从电流,这被发现。在这新现象后面的机制能与加热的朱尔的贡献以传导性的细丝形成 / 破裂被理解。
A 3D evaluation method of cutting surface topography of carbon/carbon (C/C) composite
This paper aims to establish a 3D evaluation method for cutting surface topography of C/C composites. The cutting surface is measured by Talyscan 150, using 3D non-contact measurement. By evaluating
“药品零加成”前后上海患者医疗支付费用变化分析
上海市的“药品零加成”改革工作率先在华山医院北院于2013年1月5号开始实行,先后有922种药品降价1%-26%,平均降价比例12.71%,诊疗费也做了相应调整,普通门诊由改革前的14元提高到现在的26元,其中医保患者自付6元不变,提高的12元,由医保承担,自费患者则需自己负担。
Electric vehicle battery management system
TLDR
The electric vehicle battery management system disclosed has a simple structure and low manufacturing cost, can automatically update the ID (identity) addresses of theslave control modules, has perfect expansion perforamnce, and only needs to automatically allocate the circuit and wire harness without modification when the slave control module is replaced.
Phantom study of the influence of CareDose 4D and Care kV on CT pulmonary ground glass nodule with respect to image quality and radiation dose
目的探讨CareDose 4D联合Care kV对CT肺部磨玻璃密度结节(ground glass nodule,GGN)图像质量和辐射剂量的影响。 方法采用7种低剂量方案对含有6个GGN的胸部仿真体模行CT扫描。方案1采用CareDose 4D+Care kV。方案2、3、4管电压120 kV,管电流分别为30、20、10 mAs。方案5、6、7管电压100 kV,管电流分别为30、20、10
SIMULATING THE RESPONSE OF NON-UNIFORMITY OF PRECIPITATION EXTREMES OVER CHINA TO CO 2 INCREASING BY MIROC H IRES MODEL
The response of non-uniformity of precipitation extremes over China to doubled CO2has been analyzed using the daily precipitation simulated by a coupled general circulation model,MIROC_Hires.The
Nitrogen and Silicon Co-Doping of Ge2Sb2Te5 Thin Films for Improving Phase Change Memory Performance
电的性质和阶段结构(Si+N ) 为阶段变化记忆的 -codoped Ge2Sb2Te5 (GST ) 被调查改进记忆表演。仅仅在以前的报告比作 Elmswith N 或 Si 掺杂物,(Si+N ) 做了 GST 有大约 10 的一个显著改进 ofcrystalline 抵抗力(4 ) m 终止厘米。Fourier 变换红外线的 spectroscopyspectrum
Identifying influential nodes based on graph signal processing in complex networks
TLDR
The results show that the GSPC method effectively identifies influential nodes, which correspond well with the underlying ground truth, and is compatible to the previous eigenvector centrality and principal component centrality methods under circumstances where the nodes are homogeneous.
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