化学沉积Ni—P膜电阻器热处理工艺研究

研究热处理工艺对化学沉积金属膜电阻器的温度系数和潮湿系数的影响。发现热处理工艺可使Ni-P膜电阻器获得优良的电性能。对热处理前后的Ni-P膜层做了电子衍射分析,探讨了热处理前后的微观结构。     

矢量控制在动态无功补偿控制器中的应用

针对电弧炉、电焊机等冲击性负荷造成电压谐波、闪变,影响电网供电质量的现象,设计了一种采用矢量控制的TCR(晶闸管控制电抗器)型动态无功补偿控制器。通过矢量变换控制实时补偿三相负荷的无功电流,以抑制电网的电压波动、三相不平衡和谐波污染,从而提高电能质量。样机试验表明,该方法可以有效稳定电网电压,提高电网供电质量。     

La0.67-xSmxSr0.33MnO3(0.40≤x≤0.60)体系的TCR研究

通过测量La0.67-xSmxSr0.33MnO3(x=0.40,0.50,0.60)体系的M～T曲线和ρ～T曲线,研究了La位Sm掺杂对体系电阻温度系数 (TCR)的影响.实验结果表明:Sm掺杂引起的电阻率曲线急剧变化,导致大的TCR出现;TCR在x=0.40时出现峰值,随Sm掺杂的增加,TCR值逐渐减小.体系出现大的TCR,来源于Sm掺杂引起的晶格畸变和额外磁性.     

静止无功功率补偿装置设计

阐述了静止无功补偿装置（SVC）的工作原理和控制模式，将设计的实用方案成功用于某轧钢厂无功补偿和谐波滤波改造，并指明了这类静止无功补偿装置的不足。     

Search for room temperature high-TCR manganite/silver composites

We have synthesized La_0.7Ba_0.3MnO₃ (LBMO):wt%Ag_x and La_0.7Sr_0.3MnO₃ (LSMO):wt%Ag_x composites with x=0.0, 0.1, 0.2, 0.3 and 0.4 at different sintering temperatures of 1300 and 1400 °C by solid-state reaction route. In our previous work [Awana et al. Solid State Commun. 140 (2006) 410] on La_2/3Ca_1/3MnO₃ (LCMO):Ag_x (x=0.0, 0.1, 0.2, 0.3, 0.4) composites, we reported about 12% temperature coefficient of resistance (TCR) for Ag_0.4 samples near metal–insulator (MI) transition, which was explained on the basis of better grains connectivity. A sharp MI transition results in high TCR. Such high-TCR material can be used as a bolometer or infrared detector at room temperature. In the present work, it is shown that the TCR is improved with Ag addition for both LBMO:wt%Ag_x and LSMO:wt%Ag_x composites. In addition to improvement in TCR, high MR is also achieved in the vicinity of room temperature.     

一种新型的红外成像材料

基于超大磁阻(CMR)材料在绝缘体—金属转变(I—M)点附近的巨大电阻变化，本研究了La位Gd掺杂对La0.7-xGdxSr0.3MnO3(x=0.20、0.30、0.40、0.50)电阻温度系数(TCR)的影响。实验结果表明：Gd掺杂将引起电阻率曲线的急剧变化，导致出现大的TCR；而且随Gd掺杂的增加，TCRR在x＝0．30出现峰值，然后随掺杂量增加逐步降低，大的TCR行为将成为新型的红外成像材料。     

超/特高压交流输电中线路无功补偿的新方法

我国超/特高压输电正在蓬勃的发展,但仍面临这很多重大的技术难题,其中很多问题的根源就是超/特高压交流线路的充电功率大,需要无功补偿。目前的超/特高压无功补偿方法都有着自身的缺陷,无法满足要求。本文将12脉波法引入常见的TCR无功补偿技术中,通过MATLAB建模验证了其具有动态无功补偿效果好、响应速度快和谐波小的优点,为超/特高压输电线路的无功补偿提供了一个更好的解决办法。     

矿井直流提升机TCR无功补偿系统的MATLAB仿真

由于煤矿系统无功补偿和谐波污染问题日趋严重,设计了以矿井直流提升机为负载的TCR无功补偿系统.研究了TCR的工作原理,主电路联结特点,确定了各滤波器参数,并利用MATLAB仿真软件对无功补偿系统进行了仿真.仿真结果验证了设计的正确性,滤波效果良好,总谐波畸变率满足<公用电网谐波>标准的要求,为煤矿中的实际应用提供了理论基础.     

SETE: Sequence-based Ensemble learning approach for TCR Epitope binding prediction

Predicting the binding of T cell receptors (TCRs) to epitopes plays a vital role in the immunotherapy, because it guides the development of therapeutic vaccines and cancer treatments. Many prediction methods attempted to explain the relationship between TCR repertoires from different aspects such as the V(D)J gene locus and the biophysical features of amino acids molecules, but the extraction of these features is time consuming and the performance of these models are limited. Few studies have investigated how k-mers formed by adjacent amino acids in TCR sequences direct the epitope recognition, and the specific mechanism of TCR epitope binding is still unclear. Motivated by these, we presented SETE (Sequence-based Ensemble learning approach for TCR Epitope binding prediction), a novel model to predict the TCR epitope binding accurately. The model deconstructed the CDR3β sequence to short amino acid chains as features and learned the pattern of them between different TCR repertoires with gradient boosting decision tree algorithm. Experiments have demonstrated that SETE can be helpful in predicting the TCRs’ corresponding epitopes and it outperforms other state-of-the-art methods in predicting the epitope specificity of TCR on VDJdb data set. The source codes have been uploaded at https://github.com/wonanut/SETE for academic usage only.