奇数口联接器与实现三口联接器的电路

本文提出了具有一个非能口的奇数口(n>1)联接器端口方程的一般公式.通过它们的互相联接将得到偶数口,多非能口或无非能口的多口联接器.它们与其它元件的组合得到一些元件:奇次方与偶次方的非线性单口电阻元件,理想二极管,理想双极结型晶体三极管,理想场效应管,理想线性双口受控源等.最后提出了实现具有一个非能口的三口联接器的电路.     

A robust watermarking algorithm based on significant-tree in Contourlet domain

An adaptive algorithm operating in the Contourlet domain is presented. Contourlet is a new image sparse representation, which is better than a wavelet for piecewise smooth images with smooth contours. Because of flexible multiresolution, local and directional sensitivity of Contourlet transform, our approach also defines significant-tree in the Contourlet domain. By analyzing the relation of the Contourlet coefficients, we embed the watermarking into all the coefficients of each significant-tree. Then referring to the statistical properties of the coefficients, the masking characteristics of texture are defined for adaptively controlling the embedding strength. Experimental results show that the proposed algorithm is highly robust to various attacks, such as JPEG compression, medium filtering, cropping and rotation. Furthermore, comparisons with a classical method in the wavelet domain prove the validity of the new algorithm.     

应用荧光探针法研究某些多糖与DNA的直接作用

用荧光探针法研究了云芝糖肽,灵芝多糖和香菇多糖与ＤＮＡ的相互作用以及了解它们防癌抗癌的效用,结果表明,这三种多糖都能与ＤＮＡ相互作用,其中灵芝多糖效果最佳,云芝多糖效果次之,香菇多糖效果居后。     

基于BO-XGBoost与集成学习方法的供应链金融信用评价研究

针对供应链金融领域中小企业融资的信用风险控制问题，提出了一种在Bagging算法框架下结合贝叶斯优化和XGBoost算法的集成学习模型BO-XGBoost-Bagging（BXB）。首先，基于XGBoost特征重要度进行特征筛选，建立供应链金融信用评价指标体系。其次，通过贝叶斯优化获得XGBoost的最优超参数，并结合Bagging算法得到集成模型BXB。最后，在中小企业数据集上进行预测，通过实证研究验证信用评价模型的有效性。实证结果表明，BXB模型相比其他模型具有更好的预测效果，能够更加准确、全面地对中小企业的信用风险进行评估，更好地区分风险企业和正常企业，最大程度减少违约损失，在供应链金融信用评价方面有着较高的应用价值。