Stochastic flows of mappings

In this paper,the stochastic flow of mappings generated by a Feller convolution semigroup on a compact metric space is studied.This kind of flow is the generalization of superprocesses of stochastic flows and stochastic diffeomorphism induced by the strong solutions of stochastic differential equations.     

La0.7Ca0.3Mn1-xCrxO3的激光超声研究

运用激光超声的方法测定了五种不同掺杂的巨磁锰氧化物La0.7Ca0.3Mn1-xCrxO3(0.01≤x≤0.60)室温(300 K)下的超声纵波声速.结合热导率的数据,对声速随掺杂浓度的变化原因进行了深入的分析.得到在顺磁绝缘态Cr3 离子的掺入造成了晶格局部涨落的变化,低掺杂使得晶格局部涨落增强,声子U散射弛豫时间减小.     

高分子网络凝胶法低温合成YAG∶Tb3+荧光粉

以金属硝酸盐为原料,丙烯酰胺为聚合单体以及N,N-亚甲基双丙烯桥酰胺为胶联剂,采用高分子网络凝胶法在低温下合成精细粒度Y3Al5O12∶Tb3 (YAG∶Tb3 )荧光粉.分别用热重-差热分析(TG-DTA)、X射线衍射(XRD)、扫描电子显微镜(SEM),以及激发和发射光谱测量对样品进行了表征,考察了烧结温度对样品结晶程度、颗粒大小的影响,以及样品发光性能与烧结温度和Tb3 浓度的关系.结果表明:YAG晶相形成温度为850℃;粉体颗粒大小均匀,随着烧结温度的升高,颗粒粒径增大,结晶程度提高;观察到Tb3 中4f-5d的吸收带以及5D4-7Fj(j=6,5,4,3)的特征发射带,最强吸收与最强发射分别发生在272,541.8 nm,与量子理论(E=1.24/λ)的计算结果相吻合,其发光强度随烧结温度的升高而增强;观察到了Tb3 在Y3Al5O12中的浓度猝灭现象.     

偶氮四唑叠氮基甲脒AFZT高压物性的第一性原理计算

偶氮四唑叠氮基甲脒AFZT的爆轰性能表现优异,在高能炸药领域中具有广阔的应用前景.本文采用基于密度泛函理论的第一性原理方法计算了AFZT在0～50 GPa压力下的晶体结构、电子性质以及氢键相互作用,并分析了这些性质在压力下的变化规律.在压力的作用下,AFZT晶体在5 GPa下发生了结构转变并伴随着电子结构中带隙值的突变,其带隙先减小后增大再减小,总态密度的峰值随着压力的增加而减小.结构中叠氮甲脒阳离子上的N8-N9与N9-N10键在压力下表现得最稳定,N-H^…N类型的氢键在所有相互作用中占据主导地位.此外,AFZT结构沿不同晶轴压缩的难易程度与此方向上氢键相互作用分布的疏密有关,并且其氢键主要沿xz平面分布而在y轴上分布极少,这导致了它沿y轴方向最易被压缩.     

CT and MRI Medical Image Fusion Using Noise-Removal and Contrast Enhancement Scheme with Convolutional Neural Network

Medical image fusion (MIF) has received painstaking attention due to its diverse medical applications in response to accurately diagnosing clinical images. Numerous MIF methods have been proposed to date, but the fused image suffers from poor contrast, non-uniform illumination, noise presence, and improper fusion strategies, resulting in an inadequate sparse representation of significant features. This paper proposes the morphological preprocessing method to address the non-uniform illumination and noise by the bottom-hat–top-hat strategy. Then, grey-principal component analysis (grey-PCA) is used to transform RGB images into gray images that can preserve detailed features. After that, the local shift-invariant shearlet transform (LSIST) method decomposes the images into the low-pass (LP) and high-pass (HP) sub-bands, efficiently restoring all significant characteristics in various scales and directions. The HP sub-bands are fed to two branches of the Siamese convolutional neural network (CNN) by process of feature detection, initial segmentation, and consistency verification to effectively capture smooth edges, and textures. While the LP sub-bands are fused by employing local energy fusion using the averaging and selection mode to restore the energy information. The proposed method is validated by subjective and objective quality assessments. The subjective evaluation is conducted by a user case study in which twelve field specialists verified the superiority of the proposed method based on precise details, image contrast, noise in the fused image, and no loss of information. The supremacy of the proposed method is further justified by obtaining 0.6836 to 0.8794, 0.5234 to 0.6710, and 3.8501 to 8.7937 gain for QFAB, CRR, and AG and noise reduction from 0.3397 to 0.1209 over other methods for objective parameters.     

翠绿料瓶罐玻璃中微量元素的快速测定

翠绿料瓶罐玻璃颜色的深浅是由多种微量元素铁、铬、钴的浓度所决定的.在原子吸收光谱法测定这些微量元素时,要考虑基体产生的多种干扰.本法通过改进标准溶液的配制,克服了基体干扰,加快了样品的测定速度.     

A realistic coronary artery phantom for particle image velocimetry

Myocardial infarction results from the rupture of an atherosclerotic plaque, which occurs in response to both mechanical stress and inflammatory processes. In order experimentally observe flow into atherosclerotic coronary artery morphologies, a novel technique for molding realistic compliant phantom featuring injection-molded inclusions and multiple layers has been developed. This transparent phantom allows for particle image velocimetry (PIV) flow analysis and can supply experimental data to validate computational fluid dynamics algorithms and hypothesis.     

The magnetic entropy changes in Gd1−xBx alloys

A series of Gd_(1−x)B_x alloys have been prepared by arc melting method. After introducing small quantity of B atom in Gd, the Curie temperature of these alloys increase while the magnetic entropy changes are almost same as that of Gd. The refrigerant capacities of these alloys are also greater than that of Gd. These results suggest that Gd_(1−x)B_x alloys may be utilized as refrigerant in household magnetic refrigeration.