一种补偿因子区域不变的CS成像算法

为提高星载合成孔径雷达（SAR）成像的实时性,减小补偿因子的运算量,提出了一种补偿因子区域不变的Chirp Scaling（CS）成像算法. 这种改进的CS算法根据补偿因子的相位误差确定一个更新步长,在每个步长内更新一次补偿因子,即相邻单元内的数据与相同的补偿因子相乘. 利用这种改进的CS算法对点阵目标和实测目标进行了仿真验证,得到的SAR图像质量与传统CS算法的结果相差很小. 这种补偿因子区域不变的CS成像算法在满足精度的前提下使得补偿因子的运算量成倍减小,大大减小了实时成像的压力,能够有效降低星上实时处理系统的规模,从而降低系统功耗.      

Factors affecting the voxel-based analysis of diffusion tensor imaging

Diffusion tensor imaging （DTI） provides a unique method to reveal the integrity of white matter microstructure noninvasively. Voxel-based analysis （VBA）, which is a highly reproducible and user-independent tech- nique, has been used to analyze DTI data in a number of studies. Fractional anisotropy （FA）, which is derived from DTI, is the most frequently used parameter. The parameter setting during the DTI data preprocessing might affect the FA analysis results. However, there is no reliable evidence on how the parameters affect the results of FA analysis. This study sought to quantitatively investigate the factors that might affect the voxel-based analysis of FA; these include the interpolation during spatial normalization, smoothing kernel and statistical threshold. Because it is difficult to obtain the true information of the lesion in the patients, we simulated lesions on the healthy FA maps. The DTI data were obtained from 20 healthy subjects. The FA maps were calculated using DTIStudio. We randomly divided these FA maps into two groups. One was used as a model patient group, and the other was used as a normal control group. Simulated lesions were added to the model patient group by decreasing the FA intensities in a specified region by 5 %- 50 %. The model patient group and the normal control groupwere compared by two-sample t test statistic analysis voxel- by-voxel to detect the simulated lesions. We evaluated these factors by comparing the difference between the detected lesion through VBA and the simulated lesion. The result showed that the space normalization of FA image should use the trilinear interpolation, and the smoothing kernel should be 2-3 times the voxel size of spatially normalized FA image. For lesions with small intensity change, FWE correction must be cautiously used. This study provided an important reference to the analysis of FA with VBA method.     

Big data analysis of the human brain’s functional interactions based on fMRI

The human brain is a huge, complex system generating brain activity. The exploration of human brain function using functional magnetic resonance imaging （fMRI） is a promising method to understand brain activity. However, the complexity of the big data generated by fMRI facilitates the analysis of various levels of human brain activity, such as the distribution of neural represen- tations, the interaction between different regions, and the dynamic interaction over time. These different levels can depict distinct prospects of the human brain activity, and considerable progress has been achieved. In the future, more big data analysis methods combining advances in computer science, including larger-scale computing, machine learning, and graph theory, will promote the understanding of the human brain.     

Assessment of alternated cooling and heating treatment by US combined CEUS in the VX2 rabbit liver tumor model

Inoperable liver tumors are often treated by thermal ablation that destroys the tumor in situ and spares the adjacent hepatic tissue.Thermal–physical treatment has many advantages,but treatment by freezing or heating alone has some limitations.By taking the advantages and disadvantages of cryosurgery and thermotherapy into consideration,a new thermal technique that combines cryosurgery and radio frequency ablation has been proposed,thereby overcoming the disadvantages of each treatment strategy and improving therapeutic outcomes.This new approach remains to be systematically studied in the liver;therefore,this study was performed to estimate survival after alternated cooling and heating ablation therapy in a VX2 rabbit liver tumor model.Sixteen days after VX2 carcinoma implantation into the rabbit liver,tumors were treated with alternated cooling and heating ablation therapy.Rabbits were monitored for 6 months after treatment and assessed with ultrasound(US)and computed tomography at 1,7,14,and 30 days posttreatment.Untreated tumor-bearing animals served as the control group.Our results show that alternate freezing and heating ablation therapy resulted in a good recovery of VX2 rabbits.Compared with the control group,treated rabbits lived significantly longer(P\0.05),with 70%of treated animals surviving to 196 days posttreatment without metastasis or recurrence,while none of the controls did so.There was no local recurrence in the treatment group.All rabbits in the control group developed metastasis,while metastasis was only observed in 30% of treated rabbits.These results suggest that alternate cooling and heating ablation therapy can prolong the survival time of rabbits with VX2 liver tumors and is an effective method for tumor therapy.Furthermore,we also showed in this model that contrast enhanced US is a valid follow-up approach to assess treatment effectiveness.     

橙色粘球菌四型菌毛膜复合物的发现

细菌四型菌毛(T4P)不仅在生物膜形成、DNA吸收和侵染致病等生物过程中发挥着重要的作用,同样也能够介导固体界面的滑动运动。尽管T4P具有非常重要的作用,但橙色粘球菌T4P系统中蛋白间组装机制的研究仍处于初级阶段。T4P系统pil N/O/P/Q单基因的敲除与回补实验显示敲除菌株导致橙色粘球菌群体运动完全丧失,而pil N/O/P/Q相应基因回补则恢复突变株群体运动。Pil N/O/P/Q蛋白通过酵母双杂交(Y2H)检测蛋白间的相互作用发现,定位于周质空间的Pil P不仅与外膜蛋白Pil Q的C末端相互作用,也与内膜蛋白Pil O相互作用。遗传学与酵母双杂实验结果显示着Pil P蛋白是联通内外膜的桥梁,暗示着Pil N/O/P/Q蛋白形成跨越内膜、细胞周质和外膜的整合复合物结构,并在菌毛延伸和收缩过程中发挥着重要的作用,为阐明橙色粘球菌菌毛的延伸与收缩的分子机制奠定坚实基础。     

“单向度”的批判--对国内《单向度的人》的批判的批判

《单向度的人》是法兰克福学派代表人物马尔库塞的经典作品之一,问世后在世纪内产生了巨大的反响。国内《对单向度的人》的批判也呈现出繁荣的局面,但其批判却存在以下缺陷：用历史的“旧镜片”来观察发达资本主义工业社会;带着“偏见”来理解《单向度的人》和马尔库塞的思想;孤立地、片段式地批判《单向度的人》和马尔库塞的思想。这些批判是一种“单向度”的批判。     

二维随机变量概率分布的求解方法

每一个随机试验的整体概率可以用一个相应的随机变量及其概率分布来描述.基于对一维随机变量的理解,采用分布函数法和函数分步法,给出了求二维随机变量概率分布的基本规律.     

一种新型吡啶盐的合成、结构表征及光学性质研究

合成了一种新型有机荧光染料4-[4′-(N,N-二丁基胺基)苯乙烯基]-N-甲基吡啶四氟硼酸盐,并通过元素分析、红外光谱、热重(TGA)分析、电喷雾质谱等对其进行了表征,并测试了其紫外-可见电子光谱和在8种不同溶剂中的单光子荧光光谱等线性光学性质,同时对其进行了初步的研究.     

An efficient non-iterative algorithm to estimate the apparent diffusion coefficient of water molecules in the magnetic resonance diffusion imaging experiments

Many studies have shown that the magnetic resonance signal decay with an extend range of diffusion weighting(b-factor)is a bi-exponential attenuation in the diffusion-weighted magnetic resonance imaging experiments in vivo.Based on this feature and the two-compartmental model,we propose a twice-linear-fitting(TLF)algorithm to estimate the apparent diffusion coefficient(ADC)of the water molecules instead of the commonly used iterative Levenberg–Marquardt(LM)method.The TLF algorithm consists of two liner fitting steps to estimate the fast and the slow apparent diffusion coefficients and their sizes,respectively.It is unnecessary to guess the initial values in the whole fitting process.The time consumption of the TLF algorithm is much less than that of the iterative LM method.Moreover,the TLF algorithm may avoid the extraneous solutions,which often deteriorates the results of the LM method.Compared with the iterative fitting method,the TLF algorithm is a reliable and timeefficient approach to estimate the ADC of water molecules in vivo in magnetic resonance diffusion-weighted imaging experiments.     

资源型城市绿色转型系统探究

以资源型城市系统为切入点,通过原因维、主体维和目标维三方面分析,从而构建资源型城市绿色转型系统的三维结构模型,并阐释绿色转型系统的现实意义及其实现途径,促进资源型城市的可持续发展.