Orientation and ellipticity dependence of high-order harmonic generation in nanowires

It has been predicted that high-order harmonic generation (HHG) in nanowires has the potential to scale up photon energy and harmonic yield. However, studies on HHG in nanowires are still theoretical and no relevant experimental results have been reported as yet. Our experimental observation of the high-order harmonic in cadmium sulfide nanowires (CdS NWs) excited by a mid-infrared laser is, to our knowledge, the first of such study, and it verifies some of the theoretical results. Our experimental results show that the observed harmonics are strongest when a pump laser is parallel to the nanowires. Therefore, the theoretical prediction that harmonics are strongest under the nanowires parallel to the laser field is confirmed experimentally, and this can be used to determine the orientation of the nanowire. In addition, harmonics are sensitive to the variation of pump light ellipticities. This orientation dependence opens new opportunities to access the ultrafast and strong-field physics of nanowires.     

基于条件生成对抗网络的图像去雾算法

为了提高雾天图像的去雾效果,提出了一种基于条件生成对抗网络的图像去雾算法.通过端到端可训练的神经网络对合成的室内和室外数据集进行训练,为了捕捉图像中更多的有用信息,在生成网络中设计了生成器和判别器架构,利用预训练的视觉几何组特征模型和L_1-正则化梯度对损失函数进行修正,并在判别器的最后一层引入Sigmoid函数用于特征映射,以便进行概率分析可归一化.利用合成数据集对损失函数进行训练,得到新的损失函数的参数,然后利用室外自然有雾图像数据集对训练得到的新的损失函数进行测试.实验结果表明:所提算法有效解决了去雾图像的颜色失真、过饱和、视觉伪像等问题,生成效果更好的去雾图像.     

氧化镍/碳纤维电化学传感器制备及用于恩诺沙星的检测

建立了基于镍修饰的碳纤维电化学传感器快速检测恩诺沙星的方法。将碳纤维（CNF）滴涂于玻碳电极（GCE）表面,采用循环伏安法（CV）将NiO纳米粒子沉积于CNF表面,制得NiO/CNF/GCE修饰电极,采用扫描电镜（SEM）和能谱仪（EDS）对修饰材料的形貌和元素进行表征,并将不同修饰电极放在磷酸缓冲液（PBS）中进行CV表征。对传感器制备和测定过程中的影响因素、CNF的滴涂量、缓冲液pH和Ni（NO₃）₂的电聚合圈数进行优化。采用差分脉冲伏安法（DPV）考察该电化学传感器对恩诺沙星的电化学行为。结果表明,制备的NiO/CNF/GCE电化学传感器在CNF滴涂用量为8μL,基质PBS溶液pH 6.0,Ni（NO₃）₂电聚合圈数为12圈时电极灵敏度最高,对恩诺沙星有较高的电化学响应,在0.5～80μmol/L浓度范围内与电流的变化值呈良好的线性关系,线性方程为I_p=0.0729c+0.4015（R²=0.995）,方法检出限为0.17μmol/L,实际样品平均回...