基于X射线的空间语音通信系统

提出了栅控X射线源作为发射器和基于微通道板的X射线单光子探测器作为接收器的X射线通信方案. 搭建了基于X射线的空间语音通信系统, 详细介绍了信号调制发射器、基于微通道板的X射线单光子探测器及信号接收解调器的设计及工作原理. 报道了基于X射线的空间语音通信系统的初步实验结果, 实现了优于20 kbit/s的基于语音信号调制的X射线通信. 实验分析了在不同X射线强度、信号整形时间和阈值设置下通信性能影响, 得出了X射线发射功率限制X射线通信速率的结论, 提出了下一步提高X射线通信性能的改进方案. 关键词： X射线通信 X射线源 探测器     

共轭高聚物中的杂质分布：晶格形态及高浓度掺杂效应

基于扩展Su-Shrieffer-Heeger (SSH)模型,通过自洽计算的数值方法,研究了共轭高聚物链表现为孤子态和大极化子态两种不同晶格形态时链内的杂质分布情况,计算结果显示,分立的畴壁可导致高聚物链中形成多个稳定的势阱,有利于杂质在链中聚集分布。此外,还研究了在较高浓度的掺杂条件下,共轭高聚物链内的杂质分布规律。结果显示,杂质倾向于在中心区形成高浓度分布,而在链端区,杂质更倾向于离散分布。该研究表明,高浓度掺杂下杂质分布具有稳定的特征,晶格形态对杂质分布具有显著的影响,这些结论可为实验上操控杂质在共轭高聚物中的分布提供一定的帮助。     

波纹管对超导电缆出口液氮温度的影响

建立了30米长高温超导电缆的二维模型,利用Fluent软件对该模型进行仿真分析。在该模型中,采用波纹管恒温器,分析了波纹管的波距、波高等因素对出口液氮温度的影响。结果表明:在相同的热负荷及流量下,波纹管的波距越小,波高越大,出口液氮温度越高。超导电缆波纹管内液氮温度模拟,为低温冷却系统的优化设计提供理论依据。     

110kV冷绝缘高温超导电缆在故障电流下的温度计算与分析

研究了110kV冷绝缘高温超导电缆失超时,故障电流的分流情况,并以此为依据,建立了电缆在故障电流下失超时,温升与时间关系的计算模型;通过MATLAB对计算模型进行了求解,并对求解结果进行了分析;计算出了电缆在不同故障电流下,温度上升到不同值所需要的时间,进一步明确了故障电流的大小对电缆温升的影响。     

低温功率器件驱动电路实验研究

低温电力电子技术的发展日益得到重视,主要是由于功率器件(如功率MOSFET和IGBT等)在低温下表现出更好的性能,如更低的通态阻抗,更高的开关频率等.为了实验测试和充分利用功率器件在低温下的这些性能,急需寻找或设计可以在低温下稳定可靠工作的功率器件驱动电路.我们在对目前商业化的驱动芯片进行分析的基础上,从中挑选了三种在低温下进行实验,对其输出波形随温度的变化进行研究,首次发现了可以在-196℃(77K)稳定工作的驱动芯片,其驱动性能基本能够满足低温下驱动功率器件的要求,为功率器件低温特性测试及低温功率变换电路的设计奠定了坚实的基础.     

Facile Synthesis of Manganese Tellurite Nanoparticles for Magnetic Resonance Imaging-Guided Photothermal Therapy

In this study, manganese tellurite (MnTeO₃) nanoparticles are developed as theranostic agents for magnetic resonance imaging (MRI)-guided photothermal therapy of tumor. MnTeO₃ nanoparticles are synthesized via a simple one-step method. The as-synthesized MnTeO₃ nanoparticles with uniform size show good biocompatibility. In particular, MnTeO₃ nanoparticles exhibit a high photothermal conversion efficiency (η = 26.3%), which is higher than that of gold nanorods. Moreover, MnTeO₃ nanoparticles also have high MRI performance. The longitudinal relaxivity (r₁) value of MnTeO₃ nanoparticles is determined to be 8.08 ± 0.2 mm ⁻¹ s⁻¹, which is higher than that of clinically approved T₁-contrast agents Gd-DTPA (4.49 ± 0.1 mm ⁻¹ s⁻¹). The subsequent MnTeO₃ nanoparticles-mediated photothermal therapy displays a highly efficient ablation of tumor cells both in vitro and in vivo with negligible toxicity. It is demonstrated that MnTeO₃ nanoparticles can serve as promising theranostic agents with great potentials for MRI-guided photothermal therapy.     

Tantalum Nitride Nanosheets for Photoacoustic Imaging-Guided Photothermal Cancer Therapy

In this study, the synthesis of TaN nanosheets and their application in theranostic agents is reported. After coating polyethylene glycol (PEG) on the TaN nanosheets, the as-synthesized PEG-modified TaN nanosheets (TaN-PEG) show good stability and biocompatibility. Because of their high absorbance in the near-IR region, TaN-PEG can be utilized as photoacoustic imaging contrast agents for tumor imaging. Moreover, TaN-PEG has significant photothermal conversion performance, exhibiting effective laser-induced tumor ablation capability. The TaN-PEG possessing excellent photoacoustic contrast effect and photothermal properties thus have great promise in theranostic applications, especially imaging-guided cancer treatment.     

Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach

Yang and Qiu proposed and reframed an expected utility–entropy (EU-E) based decision model. Later on, a similar numerical representation for a risky choice was axiomatically developed by Luce et al. under the condition of segregation. Recently, we established a fund rating approach based on the EU-E decision model and Morningstar ratings. In this paper, we apply the approach to US mutual funds and construct portfolios using the best rating funds. Furthermore, we evaluate the performance of the fund ratings based on the EU-E decision model against Morningstar ratings by examining the performance of the three models in portfolio selection. The conclusions show that portfolios constructed using the ratings based on the EU-E models with moderate tradeoff coefficients perform better than those constructed using Morningstar. The conclusion is robust to different rebalancing intervals.