解调环路非理想特性对预失真系统的影响

借助半实物仿真平台研究了环路器件的非理想特性对预失真器性能的影响.给出了预失真器的模型及所用到的自适应算法,分析了这些器件的非理想特性以及它们对传输信号的影响,并通过测试平台评估了不同器件传输特性对信号邻信道功率比（ACPR）及误差向量幅度（EVM）的影响.结果表明非理想特性中相偏或相位抖动对系统影响较小,而IQ不均衡度大及量化位数少对系统性能有较大影响,并对硬件实现提出了一些有用的技术参数要求.      

Redetermination of the crystal structure of boron subphthalocyanine chloride (Cl‐BsubPc) enabled by slow train sublimation

The crystal structure of boron subphthalocyanine chloride [systematic name: chlorido(subphthalocyaninato)boron], C₂₄H₁₂BClN₆, a material of widespread interest in organic electronic device applications, has been redetermined with a higher precision using large single crystals obtained via slow train sublimation. Details are given for the construction and operation of the train sublimation system, which has been designed to reproducibly yield single crystals suitable for diffraction experiments in a manner which approximates the vacuum deposition conditions commonly used to fabricate organic electronic devices. Diffraction experiments were conducted using two crystal samples and four temperatures (90, 123, 147 and 295 K), enabling a discussion of changes in the unit cell and intermolecular interactions with respect to temperature and in comparison to two previously published structures of Cl‐BsubPc. The redetermined structure confirms the original structure published 41 years ago [Meller & Ossko (1972). Monatsh. Chem. 103 , 150–155], with significantly improved precision for the geometric parameters. Analysis of the crystal structure revealed three intersecting ribbon motifs formed through a combination of π–π and halogen–π (specifically B—Cl…π) interactions. H atoms were refined independently in order to facilitate a thorough discussion of these intermolecular interactions using Hirshfeld surface analysis.     

CD45在T细胞激活过程中的作用

CD45是免疫系统主要的跨膜酷氨酸磷酸酶,已经形成的共识认为,CD45的信号转导过程中单一的起着正调节作用,促进了生命信号向细胞内的传播,模型阐述了CD45在信号过程中的双重作用,为近期的试验提供了理论解释。     

Discovery of network motifs based on induced subgraphs using a dynamic expansion tree

Biological networks are powerful representations of topological features in biological systems. Finding network motifs in biological networks is a computationally hard problem due to their huge size and abrupt increase of search space with the increase of motif size. Motivated by the computational challenges of network motif discovery and considering the importance of this topic, an efficient and scalable network motif discovery algorithm based on induced subgraphs in a dynamic expansion tree is proposed. This algorithm uses a pruning strategy to overcome the space limitation of the static expansion tree. The proposed algorithm can identify large network motifs up to size 15 by significantly reducing the computationally expensive subgraph isomorphism checks. Further, the present work avoids the unnecessary growth of patterns that do not have any statistical significance. The runtime performance of the proposed algorithm outperforms most of the existing algorithms for large network motifs.     

单个、自生的RP-Au-PR结构增强金属纳米团簇的光致发光量子产率19倍

膦保护金纳米团簇的研究可追溯到1969年,"RP-Au-PR"(R为烷基)结构在膦保护的金纳米团簇上目前还未见报道,而相似的"RS-Au-SR"结构在硫醇保护金纳米团簇中经常被发现,其具有多种功能(例如增强团簇发光).本工作以双膦作为配体成功合成出原予层次单分布的金银纳米团簇[Au10Ag4(Dppp)5Cl4]Cl2...     

IQGAP1 is overexpressed in hepatocellular carcinoma and promotes cell proliferation by Akt activation

The scaffold protein IQGAP1 shows elevated levels in several cancer types, but its expression in hepatocellular carcinoma is unknown. We found that 58% of human hepatocellular carcinoma tissue samples had increased IQGAP1 expression compared to adjacent normal tissue. Overexpressing IQGAP1 raised the in vivo tumorigenicity of hepatocellular carcinoma cells, and forced overexpression of IQGAP1 in vitro stimulated cell proliferation. Cell growth was reduced by knockdown or mutation of IQGAP1, or by treatment of cells with a phosphotidylinositol 3-kinase inhibitor. To determine the mechanism by which IQGAP1 overexpression affected hepatocellular carcinoma cells, we confirmed its interaction in these cells with mammalian target of rapamycin (mTOR), a serine/threonine kinase that integrates signals about nutrient and energy status with downstream effectors that influence cell division. In addition, we discovered a new interaction involving IQGAP1, mTOR and Akt, which is a downstream target of mTOR. Akt phosphorylation on Ser-473, which is catalyzed by mTOR and required for Akt activation, increased with increasing amounts of IQGAP1, and decreased with IQGAP1 mutation. We hypothesize that IQGAP1 is a scaffold that facilitates mTOR and Akt interaction.     

Detection of discriminative sequence motifs in proteins obtained from prokaryotes grown at various temperatures

Recent investigations on the stability of proteins have demonstrated various structural factors, but few have considered sequence factors such as protein motifs. These motifs represent highly conserved regions and describe critical regions that may only exist on proteins that remain functional at high temperatures. This investigation presents a method for identifying and comparing corresponding mesophilic and thermophilic sequence motifs between protein families. Discriminative motifs that are conserved only in the mesophilic or thermophilic subfamily are identified. Analysis of the results shows that, although the subfamilies of most protein families share similar motifs, some discriminative motifs are present in particular thermophilic/mesophilic subfamilies. The thermophilic discriminative motifs are conserved only in thermophilic organisms, revealing that physiochemical principles support thermostability.     

延迟反馈在随机系统中的作用

有关延迟反馈(Delayed Feedback)的研究已经在混沌控制、天体动力学和神经系统等领域中受到了非常广泛的关注.首先阐明了研究整个复杂网络的一条有效的途径——网络基本单元,接着阐明了复杂网络中一种十分常见的基本单元——反馈环(Feedback Loop),然后将时间延迟与反馈结合起来,通过一个具体的模型进行数值模拟,进而分析了延迟反馈在随机系统中的重要作用.     

Self-sustained oscillations of complex genomic regulatory networks

Recently, self-sustained oscillations in complex networks consisting of non-oscillatory nodes have attracted great interest in diverse natural and social fields. Oscillatory genomic regulatory networks are one of the most typical examples of this kind. Given an oscillatory genomic network, it is important to reveal the central structure generating the oscillation. However, if the network consists of large numbers of genes and interactions, the oscillation generator is deeply hidden in the complicated interactions. We apply the dominant phase-advanced driving path method proposed in Qian et al. (2010) [1] to reduce complex genomic regulatory networks to one-dimensional and unidirectionally linked network graphs where negative regulatory loops are explored to play as the central generators of the oscillations, and oscillation propagation pathways in the complex networks are clearly shown by tree branches radiating from the loops. Based on the above understanding we can control oscillations of genomic networks with high efficiency.