水峰调制下的3,4-Seco-olean-11,13-dien-4,15α,22β,24-tetraol-3-oic Acid的NMR结构解析

对海南半红树植物黄槿(Hibiscus tiliaceus)内生菌中提取的一个新化合物进行核磁共振结构解析的研究. 在核磁共振测试时发现水峰信号与部分样品信号发生了重叠, 直接影响了该化合物谱图数据的分析. 本工作通过实验确证了在氘代二甲亚砜(DMSO-d₆)溶剂中水峰化学位移与含水量之间的变化规律. 依据该规律, 利用定量加入纯水的方法对实际样品中的水峰信号进行了调制, 解决了水峰信号与样品信号的重叠问题, 得到了较理想的¹H NMR, ¹³C NMR一维谱和COSY, HMQC, HMBC等二维谱. 利用核磁共振提供的信息完成了对新化合物结构的解析, 确定该化合物为齐墩果烷三萜类化合物3,4-seco-olean-11,13-dien-4,15α,22β,24-tetraol-3-oic acid.     

湍流信道下激光器互调失真特性

基于半导体激光器速率方程,采用贝塞尔函数推导激光器非线性互调失真表达式.在GammaGamma湍流信道下,针对无线光多路副载波二进制相移键控调制,研究非线性互调失真对系统载波互调噪声比及误码率性能的影响,并给出系统最佳调制指数的选取与非线性系数的对应关系.结果表明,同一湍流条件下,调制指数小于最佳取值时,随着调制指数增加载波互调噪声比上升、误码率下降,而调制指数高于最佳取值时系统性能劣化.当闪烁指数为0.2,最佳调制指数为0.6时,获得的最大载波互调噪声比为12.9dB.     

熔石英损伤修复坑下游光场调制的数值模拟与实验研究

系统研究了熔石英激光损伤修复后的形貌特征,根据测量数据建立了典型的损伤修复坑三维模型,利用标量衍射理论并结合快速傅里叶变换算法研究了修复坑在351 nm激光辐照下游光场调制的分布规律.研究表明,修复坑引起的光场调制会使得下游不同距离位置处出现环形光场增强区和轴上位置光场增强点;环形光场增强区位置距离修复元件较近,其环形调制极大值主要受修复坑深度的影响,且随修复坑深度的增大而逐渐增加;轴上位置光场增强点位置距离修复元件较远,其轴上调制极大值主要受修复坑边缘凸起高度的影响,且随凸起高度的增大而快速增加;环形调制极大值或轴上调制极大值增大的同时,其分布位置与修复元件之间的距离均会逐渐减小.实验验证表明,利用三维修复坑模型得到的下游光场调制数值模拟结果与实验测量结果具有较好的一致性.本研究结果对控制熔石英元件损伤修复形貌特征以抑制调制增强效应给出了具体的控制方向,对修复工艺的改进与完善提供了非常有意义的参考.     

面向光学器件透反射率测量的声光调制型激光功率稳定系统设计

在各类光学系统设计过程中,由于实验系统对于光学器件的透反射率要求不同,需要确定光学器件的透反射率。本文设计了一种对光学器件的透反射率进行精准测量及标定的系统,该系统通过对激光光源进行声光调制,使得激光输出功率的稳定度显著提高,避免了测量时光源不稳定带来的较大误差。实验结果表明,该系统能够稳定光源输出功率,稳定度维持在0.05%/h,甚至更高的水平,满足了光学器件透反射率测量的误差小,精度高等要求。     

二次偏振调制测距系统中调制频率与测距精度的关系

本文在基于二次偏振调制激光测距系统的基础上, 对调制频率与激光测距系统精度的关系做了深入的理论推导和实验验证. 最终得出结论: 相位法激光测距系统的测量精度会随着调制频率的增大而提高, 且精度的提高程度正比于调制频率的不确定度Δf与测程范围内半波长数N值的比值. 并通过选取合适的调制频率来提高系统的测距精度, 提高后的测距精度可达10^-7.     

量子点半导体光放大器波长转换的Q因子特性

为了改善全光波长转换器的转换性能进而提高输出信号质量,研究了波长转换器的Q因子特性。采用牛顿迭代法和四阶龙格库塔法解光场传输方程和跃迁速率方程,分析了输入信号光功率、脉冲宽度、最大模式增益和有源区长度4个因素对全光波长转换器的Q因子特性的影响,并将得到的结果与相同条件下的输出消光比比较。结果表明:增大输入信号光功率,Q因子先增大后减小,并且在-12 d Bm时取得最大值8.819 d B;Q因子随着脉冲宽度的增加而不断下降;增大最大模式增益和有源区长度,Q因子增大。在实现波长转换的基础上,优化各参数数值,得到的Q因子达到16.680 d B,输出信号质量较好。要同时获得高的消光比和Q因子,提高输出信号的质量,必须选取适当的输入信号光功率、脉冲宽度、最大模式增益和有源区长度。     

A near-infrared acetylene detection system based on a 1.534 μm tunable diode laser and a miniature gas chamber

A near-infrared (NIR) dual-channel differential acetylene (C₂H₂) detection system was experimentally demonstrated based on tunable diode laser absorption spectroscopy (TDLAS) technique and wavelength modulation spectroscopy (WMS) technique. A distributed feedback (DFB) laser modulated by a self-developed driver around 1.534 μm is used as light source. A miniature gas chamber with 15 cm path length is adopted as absorption pool, and an orthogonal lock-in amplifier is developed to extract the second harmonic (2f) signal. Sufficient standard C₂H₂ samples with different concentrations were prepared, and detailed measurements were carried out to study the detection performance. A good linear relationship is observed between the amplitude of the 2f signal and C₂H₂ concentration within the range of 200–10,000 ppm, and the relative measurement error is less than 5% within the whole range. A long-term monitoring lasting for 20 h on a 1000 ppm C₂H₂ sample was carried out, and the maximum concentration fluctuation is less than 2%. Due to the capability of using long-distance and low-loss optical fiber, the gas-cell can be placed in the filed for remote monitoring, which enables the system to have good prospects in industrial field.     

Altered Membrane Mechanics Provides a Receptor-Independent Pathway for Serotonin Action

Serotonin, an important signaling molecule in humans, has an unexpectedly high lipid membrane affinity. The significance of this finding has evoked considerable speculation. Here we show that membrane binding by serotonin can directly modulate membrane properties and cellular function, providing an activity pathway completely independent of serotonin receptors. Atomic force microscopy shows that serotonin makes artificial lipid bilayers softer, and induces nucleation of liquid disordered domains inside the raft-like liquid-ordered domains. Solid-state NMR spectroscopy corroborates this data at the atomic level, revealing a homogeneous decrease in the order parameter of the lipid chains in the presence of serotonin. In the RN46A immortalized serotonergic neuronal cell line, extracellular serotonin enhances transferrin receptor endocytosis, even in the presence of broad-spectrum serotonin receptor and transporter inhibitors. Similarly, it increases the membrane binding and internalization of oligomeric peptides. Our results uncover a mode of serotonin–membrane interaction that can potentiate key cellular processes in a receptor-independent fashion.     

Distributed spatial media-based modulation for relay networks with RF mirrors

A novel distributed spatial media-based modulation scheme is proposed in this paper by cleverly utilizing distributed spatial modulation (DSM) and media-based modulation (MBM) principles. This proposed scheme is referred to as distributed channel modulation (DCM) for relay networks. In this scheme, decode-and-forward relaying protocol is adopted, and the channel states are exploited for transmitting extra information bits by using a number of radio frequency (RF) mirrors that are placed near each relay. To provide a fair comparison with the conventional state-of-the-art schemes, the symbol error rate (SER) performance of DSM scheme is evaluated. Besides, a low complexity detection technique known as iterative maximum ratio combining (i-MRC) is used in order to reduce the receiver complexity of the proposed scheme. Simulation results demonstrate that the proposed DCM scheme significantly outperforms DSM scheme for the same average rate. It is also shown that there is a negligible degradation in the SER performance of the proposed DCM scheme when i-MRC detection is used as compared to the performance with maximum likelihood (ML) detection. Furthermore, a significant reduction in the receiver complexity is achieved by using i-MRC detection technique in contrast to the results with ML detector. It has been also revealed that the proposed DCM scheme shows a performance drop of about 3 dB when the availability of an imperfect channel state information (CSI) is assumed with the presence of channel estimation errors (CEEs). Finally, simulation results have confirmed the analytical findings.     

Improved Chernoff Bound of Gaussian Q-function with ABC algorithm and its QAM applications to DB SC and MRC systems over Beaulieu–Xie channels

In this study, we propose an improved upper bound for the Gaussian Q function by using artificial bee colony algorithm. Then, we investigate the performance of the dual-branch (DB) selection combining (SC) and maximal ratio combining (MRC) systems over the Beaulieu–Xie fading channels. The probability density functions of the instantaneous signal to noise ratio for the considered systems are obtained. Employing the proposed upper bound, we derive closed-form expressions of the error probability for the quadrature amplitude modulation (QAM) techniques such as rectangular QAM (RQAM), cross QAM (XQAM), and hexagonal QAM (HQAM). Furthermore, the asymptotic error probability expressions for the DB SC system are also obtained to simplify the analyses. The effects of some key parameters in the systems are shown in the results. Comparisons of the different modulation types and the different upper bound approaches for the Gaussian Q function are presented. Finally, it has been shown that the upper bound approximation presented in this study can be widely used for many communication applications.