New organoruthenium metallates containing ferrocenecarboxalidine thiosemicarbazones and their nucleic acid/albumin binding and in vitro cytotoxicity

A string of four new hetero binuclear Ru(III) complexes of ferrocenecarboxaldehyde-4(N)-substituted thiosemicarbazones were synthesized and characterized by various spectral (infrared, ultraviolet–visible, Electron Paramagnetic Resonance (EPR) and High Resolution Mass Spectrometry (HR-MS) techniques. The binding abilities of the ligands/complexes with nucleic acid (calf thymus DNA, CT-DNA) and bovine serum albumin (BSA) were analyzed by absorption and emission titration methods. The complexes exhibited better DNA binding affinity than their parent ligands. The interaction with CT-DNA was found to be intercalative and with BSA static quenching mechanism was observed. All the synthesized Ru(III) complexes were subjected to study their in vitro cytotoxicity against MCF-7 (human breast cancer) and HT-29 (human colon cancer) cell lines. Among the four complexes, complex 3 [RuCp (FF-etsc)PPh₃]Cl exhibited the highest cytotoxicity in MCF-7 cells and complex 4 [RuCp (FF-ptsc)PPh₃]Cl was the most active on HT-29 cells.     

基于区域生长法的医学图像分割研究

针对基于区域的分水岭分割算法中通常存在的严重过分割现象，通过两点措施来改进：其一，以梯度图像的浮点活动图像取代梯度图像进行分水岭变换，使边缘定位更准确；其二，以基于面积和对比度控制的合并小区域准则，有效抑制过分割现象，同时满足感兴趣区的分割要求。实验表明该算法简单有效，能够得到符合人类视觉系统特性的分割结果，边缘定位精确度较高。     

利用液晶光阀实现的光学形态变换

提出了基于液晶光阀的光学二值图像领域处理器，利用它完成了扩、蚀和边缘检测等形态变换操作，并给出了实验结果。     

Studies on the blends of cardanol-based epoxidized novolac resin and CTPB

Cardanol-based novolac-type phenolic resins were synthesized with different mole ratios of cardanol-to-formaldehyde, viz., 1:0.6, 1:0.7, and 1:0.8. These novolac resins were epoxidized with molar excess of epichlorohydrin at 120 °C in basic medium. The epoxidized novolac resins were, separately, blended with different weight ratios of carboxyl-terminated polybutadiene liquid rubber ranging between 0-25 wt% with an interval of 5 wt%. All the blends were cured at 150 °C with 40 wt% polyamide. The formation of various products during the curing of blend samples has been studied by Fourier-transform infra-red spectroscopic analysis. The tensile strength and elongation-at-break of the cured samples increased up to 15 wt% in the blend and decreased thereafter. This blend sample was also found to be most thermally stable system. The blend morphology, studied by scanning electron microscopy analysis, was finally correlated with the structural and property changes in the blends.     

TiO2形态结构与光催化活性关系的研究

本文介绍了TiO₂多相光催化剂的作用机理及其结构特性对光催化活性的影响,并对TiO₂的晶相组成、晶粒尺寸、比表面积、表面形态与光催化活性的关系作了综述。     

弹性体型聚氨酯和聚碳酸酯共混物的形态结构

用ＤＳＣ、ＷＡＸＤ和ＳＡＸＳ研究了溶液共混的弹性体型聚氨酯（ＰＵ）／聚碳酸酯（ＰＣ）共混物的结构。结果表明，ＰＵ／ＰＣ为部分相容体系；共混过程中，溶剂ＤＭＦ的诱导作用使ＰＣ形成结晶，其长周期与ＰＵ硬段形成微相的长周期相近     

基于纹理的图像字符自动定位技术对比研究

随着信息技术的迅速发展,基于内容的图像检索技术引起了研究者的广泛关注.自动抽取图像/视频的语义内容是图像/视频检索中研究的重点和难点.本文通过分析多种字符定位技术,给出了基于纹理分析的字符定位算法的一般框架.对各种基于纹理分析的字符定位方法进行了对比研究,尤其深入地研究了纹理特征提取,分类器设计及边界位置确定对定位结果的影响.最后通过预分类的方法对算法进行改进,实验结果表明,该方法在保持正确定位率基本不变的情况下,可以大幅度提高处理速度.     

Automatic hierarchy classification in venation networks using directional morphological filtering for hierarchical structure traits extraction

The extraction of vein traits from venation networks is of great significance to the development of a variety of research fields, such as evolutionary biology. However, traditional studies normally target to the extraction of reticulate structure traits (ReSTs), which is not sufficient enough to distinguish the difference between vein orders. For hierarchical structure traits (HiSTs), only a few tools have made attempts with human assistance, and obviously are not practical for large-scale traits extraction. Thus, there is a necessity to develop the method of automated vein hierarchy classification, raising a new challenge yet to be addressed. We propose a novel vein hierarchy classification method based on directional morphological filtering to automatically classify vein orders. Different from traditional methods, our method classify vein orders from highly dense venation networks for the extraction of traits with ecological significance. To the best of our knowledge, this is the first attempt to automatically classify vein hierarchy. To evaluate the performance of our method, we prepare a soybean transmission image dataset (STID) composed of 1200 soybean leaf images and the vein orders of these leaves are manually coarsely annotated by experts as ground truth. We apply our method to classify vein orders of each leaf in the dataset. Compared with ground truth, the proposed method achieves great performance, while the average deviation on major vein is less than 5 pixels and the average completeness on second-order veins reaches 54.28%.     

一种基于细节特征的MCA多聚焦图像融合方法

针对多聚焦图像的特点,提出一种形态分量分析分解下的基于细节特征的图像融合方法。该方法首先将原图像分解成光滑部分和纹理部分。其次,为了充分体现多聚焦的纹理特征,在光滑部分采用微分算子定义的细节特征作为融合规则。最后,在纹理部分采用选择绝对值作为纹理部分的活跃程度的度量,绝对值最大法作为其融合规则。实验结果表明,该算法得到的融合图像优于其他多聚焦融合的算法。     

基于暗原色先验的夜视图像增强算法

在夜晚条件下拍摄到的图像对比度低,信息缺失,对诸多领域获取图像细节信息造成不便。提出了一种改进的基于暗原色先验的夜视图像增强算法来增强这类图像。采用形态学开运算替换软抠图估计透射率,缩减了算法的时间复杂度。经过暗原色先验增强的图像会放大噪声,为了克服这个缺点,对处理后的图像局部去噪获得保真度更高的图像。实验结果表明,算法可有效增强夜视图像,提高图像对比度、突出细节信息并且减少噪点。