电声子耦合对量子点非平衡输运的影响

电子-声子耦合显著影响半导体量子点和单分子晶体管的非平衡输运.在非平衡格林函数运动方程方法的框架内,通过改进电声子解耦,发现低温下量子点谱函数中声子伴带明显依赖于两边电极费米能级与重整后局域能级的相对位置,呈现电子-空穴对称性破缺.Kondo峰的声子伴带分为两类,分别与由电子或空穴组成的多体自旋单态相对应.当局域能级存在Zeeman分裂时,两类不同起源的Kondo声子伴带在自旋分辨的谱函数中可以相互区分.谱函数的这些特性也体现在非线性微分电导谱中.     

Acanthopanax senticosus Polysaccharide Enhances the Pathogen Resistance of Radiation-Damaged Caenorhabditis elegans through Intestinal p38 MAPK-SKN-1/ATF-7 Pathway and Stress Response

With the advancement of science and technology, humans are chronically exposed to ionizing radiation. It is crucial to look for efficient and low-toxic anti-radiation agents. Through preliminary screening, we found that Acanthopanax senticosus polysaccharide (ASPS) played a major role in regulating immune damage caused by radiation. The objective of this study was to apply the Caenorhabditis elegans—P. aeruginosa (PA14) infection model to illuminate the mechanism of ASPS increasing the pathogen resistance of radiation-damaged nematodes. Results indicated that ASPS (1 mg/mL) significantly enhanced the pathogen resistance of radiation-damaged nematodes by directly elevating the immune response of nematodes rather than by affecting the bacterial activity. Through further research on the p38 MAPK signaling pathway and related mutants, we found that ASPS functioned by the p38 MAPK pathway in the intestine, and SKN-1, ATF-7 as the downstream targets of PMK-1 participated the regulation of ASPS. In addition, ASPS markedly alleviated the stress status of damaged nematodes by regulating oxidative stress. Collectively, our findings suggest that ASPS enhances the pathogen resistance of radiation-damaged nematodes through the intestinal p38MAPK-SKN-1/ATF-7 pathway and stress response.     

A Comprehensive Identification and Function Analysis of Serine/Arginine-Rich (SR) Proteins in Cotton (Gossypium spp.)

As one of the most important factors in alternative splicing (AS) events, serine/arginine-rich (SR) proteins not only participate in the growth and development of plants but also play pivotal roles in abiotic stresses. However, the research about SR proteins in cotton is still lacking. In this study, we performed an extensive comparative analysis of SR proteins and determined their phylogeny in the plant lineage. A total of 169 SR family members were identified from four Gossypium species, and these genes could be divided into eight distinct subfamilies. The domain, motif distribution and gene structure of cotton SR proteins are conserved within each subfamily. The expansion of SR genes is mainly contributed by WGD and allopolyploidization events in cotton. The selection pressure analysis showed that all the paralogous gene pairs were under purifying selection pressure. Many cis-elements responding to abiotic stress and phytohormones were identified in the upstream sequences of the GhSR genes. Expression profiling suggested that some GhSR genes may involve in the pathways of plant resistance to abiotic stresses. The WGCNA analysis showed that GhSCL-8 co-expressed with many abiotic responding related genes in a salt-responding network. The Y2H assays showed that GhSCL-8 could interact with GhSRs in other subfamilies. The subcellular location analysis showed that GhSCL-8 is expressed in the nucleus. The further VIGS assays showed that the silencing of GhSCL-8 could decrease salt tolerance in cotton. These results expand our knowledge of the evolution of the SR gene family in plants, and they will also contribute to the elucidation of the biological functions of SR genes in the future.     

影响挠性印制板插入损耗的几种因素

文章采用三层板叠构对高频通信用挠性印制板(FPCB)的插损进行测试对比,从制造FPCB的材料种类、材料厚度、胶层厚度、仿真设计、信号线过孔类型、盲孔质量,以及信号线阻抗值大小等多个因素总结出对最高频率到20GHz信号插损的影响.     

光子晶体光纤飞秒激光技术研究进展

光子晶体光纤自诞生至今的十几年来得到了快速发展,不同结构和各具特色的光子晶体光纤层出不穷。以应用于飞秒激光技术的各种光子晶体光纤为主线,介绍了目前基于光子晶体光纤飞秒激光技术的实验研究进展,尤其是高功率、高能量飞秒激光系统的研究现状和发展方向。     

基于电磁感应的钢筋定位及埋深检测新方法研究

钢筋混凝土结构广泛运用于电力基础设施中,对其内部钢筋参数进行检测能够有效判断其结构耐久性,对保障电力系统安全稳定运行有重要的意义。针对传统钢筋混凝土检测方法无法判断混凝土内钢筋走向及埋深测量不够精确的问题,通过对钢筋测量原理分析和霍尔传感器布局设计,提出了一种基于电磁感应的钢筋定位及埋深检测方法。该方法用于判断钢筋的中心位置并测量其偏转角度,同时利用拟合得到的函数反应检测值与钢筋埋深之间的关系。实验表明,埋深检测值受到相邻钢筋的影响而存在较大误差,间距越小误差越大,因此通过BP（Back propagation）神经网络对不同间距下的检测值进行了数据修正,有效地提高了混凝土中钢筋埋深的检测精度。     

Data-Based Optimal Tracking of Autonomous Nonlinear Switching Systems

In this paper,a data-based scheme is proposed to solve the optimal tracking problem of autonomous nonlinear switching systems.The system state is forced to track the reference signal by minimizing the performance function.First,the problem is transformed to solve the corresponding Bellman optimality equation in terms of the Q-function(also named as action value function).Then,an iterative algorithm based on adaptive dynamic programming(ADP)is developed to find the optimal solution which is totally based on sampled data.The linear-in-parameter(LIP)neural network is taken as the value function approximator.Considering the presence of approximation error at each iteration step,the generated approximated value function sequence is proved to be boundedness around the exact optimal solution under some verifiable assumptions.Moreover,the effect that the learning process will be terminated after a finite number of iterations is investigated in this paper.A sufficient condition for asymptotically stability of the tracking error is derived.Finally,the effectiveness of the algorithm is demonstrated with three simulation examples.     

SGCMGs驱动的挠性航天器有限时间自适应鲁棒控制

针对挠性航天器系统中同时存在单框架控制力矩陀螺群(Single gimbaled control moment gyroscopes, SGCMGs) 摩擦非线性、电磁干扰力矩、惯量摄动以及外部干扰等问题, 提出了一种有限时间自适应鲁棒控制(Finite-time adaptive robust control, FTARC) 方法. 针对系统中存在未知参数的情况, 分别设计自适应更新律, 使得控制器的设计不依赖参数信息, 同时减小外部干扰对系统的不利影响. 应用Lyapunov稳定性理论证明了闭环系统姿态角误差和姿态角速度误差可在有限时间内收敛到原点附近的邻域内. 仿真结果表明, 所提控制律可实现挠性航天器姿态快速机动, 并获得甚高指向精度.     

利用HDF5和Esper的高效外汇数据分析系统

为解决目前关系型数据库由于死锁和阻塞等原因造成系统随数据量增加性能急剧降低的问题,本文提出结合HDF5和Esper的数据处理方法,利用HDF5(层次型数据存储格式)的强大I/O性能和数据类型自定义功能做数据存储,加快数据存储的速度。同时,结合Esper实时计算的高运算效率特征,设计出一套针对外汇计算行业的可移植的数据格式和函数库,解决了即时数据分析系统在存储、管理、交换、归档需求中出现的性能和效率问题。实验结果表明,在10G/天的数据量下,HDF5的数据读写性能比MSSQL要高80倍左右,结合Esper的毫秒级处理能力,能够做到外汇数据的实时计算。系统对于数据处理分析和实时性要求极高的情况有较高的应用价值。     

城市交叉路口背景提取与车道标定算法

目的 为解决车辆对车道标记的遮挡问题,提出一种新的背景提取算法,同时基于透视变换实现了城市交叉路口的多车道标定。方法 首先,通过均值与帧间差分方法的融合,进行城市交叉路口的背景稳定与更新;然后,利用Canny算子及Hough直线检测得到各类直线;其次,基于透视变换、聚类分析和先验知识建立了车道线的筛选数学模型,实现了车道线标定;最后,通过实验对算法进行了验证。结果 采用10min长度、分辨率为2592×2048像素的某城市交叉路口实际监控视频进行交叉路口背景提取。本文算法的背景提取准确率比均值法和传统高斯混合模型法分别提升20%和30%左右,车道线标定也优于其他类似方法。结论 算法具有收敛速度快、准确率较高、稳定性较好等特点,在车流量大时可快速更新并消除车辆虚影,适用于光照条件正常的城市交叉种口的车道线标定。