Double设计在对称化L2-偏差下两个下界的比较

从列平衡的角度出发,将设计的中心化L2-偏差、对称化L2-偏差、可卷L2-偏差分别用二次型和均衡模式表示,可分别得到两个下界,它们都适合用来评价正交设计的均匀性。以double设计的对称化L2-偏差为例,证明了这两种方法算出的下界是相等的。     

大肠杆菌L-组氨酸生物合成途径的改造及其对工程菌L-组氨酸产量的影响

改造大肠杆菌L–组氨酸生物合成途径,以提高L–组氨酸的产量.用NTG诱变大肠杆菌M-17(SGr),依次赋予其2–噻唑丙氨酸(2-TA)和组氨酸氧肟酸盐(HisHx)遗传标记,再以突变株M-18(SGr+2-TAr+HisHxr)基因组为模板,扩增组氨酸操纵子基因,构建出重组质粒pUC118-his-operon,将重组质粒导入突变株M-18(SGr+2-TAr+HisHxr)得到工程菌E.coli M-19(SGr+2-TAr+HisHxr/pUC118-his-operon).根据zwf和prs基因序列分别合成引物进行PCR扩增,PCR产物与载体pSTV28连接,构建重组质粒pSTV28-zwf、pSTV28-prs和pSTV28-zwf-prs,将重组质粒分别转化至工程菌E.coli M-19,摇瓶发酵测定重组工程菌L–组氨酸的产量.摇瓶发酵结果显示,L–组氨酸产量与对照株相比,工程菌E.coli M-19提高了4.5倍,双质粒系统重组工程菌E.coli MZH-19、E.coli MPH-19和E.coli MZPH-19分别提高了5.14、5.78、8.43倍.     

1，3—苯并二氧E茂及其衍生物的研究进展

通过整理近20年来有关1，3－苯并二氧E茂及其衍生物的献，分别介绍人们在1，3－二苯并二氧E茂及其衍生物的制取、其化合物二环结构的特征、以及它们的主要性质和实际应用方面的工作。     

单机E/T调度问题的动态规划新解法

本文利用最优调度的目标函数的性质，放弃了参数为整数的假定，改进了求解单机的Ｅ／Ｔ调度问题的动态规划算法，使其在时间复杂度和空间复杂度两方面都有提高     

A new implementation of image-processing engine for 3D visualization and stereo video stream display

This paper presents a new implementation of a high-definition image-processing engine,which mainly targets the 3-dimensional(3D)visualization and stereo video stream display of binocular display equipment.The engine is compatible with the mainstream analog and digital stereo videos in component format and is able to receive stereo composite video broadcast signals using an integrated analog stereo video decoder.The four modules include a spatiotemporal scaling transform engine,a 2D–3D converter,an image animating engine,and a 2D scalar operating in pipeline architecture to implement the video format conversion and the stereo effect enhancement.Furthermore,the data access,hardware structure,and system-level configurations are optimized.Finally,the proposed architecture is realized by 0.18 lm CMOS technology.The application-specific integrated circuit verification results show that the engine can generate a strong feeling of 3D immersion and highdefinition image quality with minimal flicker.The chip has wide compatibility and an uppermost 1080P-processing capacity,which has approximately 3.5 million gates with about 43 mm2 die size.     

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.     

Synthesis of mesoporous polymeric carbon nitride exhibiting enhanced and durable visible light photocatalytic performance

A thiourea precursor was employed to synthesize mesoporous carbon nitride(C3 N4) by a thermal polycondensation process with high surface area SiO2 and nanosphere SiO2 as two types of hard templates. The resultant mesoporous C3 N4 samples have high surface areas(105–112 m2/g) and mesopores with narrow sizes distribution(9.3 nm). Photocatalytic performance was evaluated by removal of NO in air under visible light irradiation. The results showed that mesoporous C3 N4 samples exhibited significantly improved photocatalytic activity in comparison with bulk C3 N4, which also exceeded that of N-doped TiO2 and C-doped TiO2. The activity enhancement can be ascribed to the synergistic effects of large surface area and pore volume, enhanced light-harvesting ability, increased redox potential, and reduced recombination of charge carriers. In addition to the high activity, the mesoporous C3 N4 samples also showed high photochemical stability. The mesoporous C3 N4 photocatalysts with enhanced and durable activity could provide a new efficient material for environmental pollution control.     

Genome editing and animal models

Transgenic technology allows a gene of interest to be introduced into the genome of a laboratory animal, and provides an extremely powerful tool to dissect the molecular mechanisms of disease. Transgenic mouse models made by microinjection of DNA into zygotic pro- nuclei in particular have been widely used by the genetics community for 30 years. However, it remains a rather crude approach： injected sequences randomly insert in multiple copies as concatamers, they can be mutagenic, and they have variable or silenced expression depending on the site of integration, a phenomenon called position effects. As a result, multiple lines are required in order to confirm appropriate transgene expression. This can be partially overcome by flanking transgenes with insulator sequences to protect the transgene from the influence of the sur- rounding regulatory elements. Large （〈300 kb） BAC- based transgenic vectors have also been shown to be more resistant to position effects. However, animals carrying extra copies of fairly large regions of the genome could have unpredictable phenotypes. The most effective method used to control for position effects is to target transgene insertion to specific genomic loci, the so-called targeted transgenesis; for instance, the fast, site-specific transgenic technology TargattTM. The purpose of this review is to provide an overview on the current existing methods for making targeted transgenic mouse models.     

L集合范畴中的极限

以范畴论为基础，引入L集合范畴Set（L）概念，分别研究了Set（L）中的极限与余极限问题，同时给出了Set（L）中极限的具体结构和一些性质．     

L—估计在数字图像中的应用

在数字图像处理中，线性滤波器是传统处理手段。但信号中有非叠加性噪声时，线性滤波器处理结果就很难令人满意，并且还将破坏图像边缘，不能有效除去噪声。从L－估计的稳健性分析出发，可以构造一类非线性滤波器。其中，由L－估计导出的中值滤波器和极差滤波器在数字图像处理中有着广泛的应用。