植物细胞超微结构的研究进展

细胞的有序结构为各种分子参加生命活动提供了特定的环境，植物细胞超微结构的研究，着重于结构与功能的关系，重视细胞的整体机能，对阐明细胞生命活动的机理具有重要意义。     

新金属菌绿素对HL-60肿瘤细胞光毒作用的参数研究

细菌叶绿素锌作为一类潜在的长波长光敏剂,具有重要生物医学研究价值.采用MTT法研究Zn-BCA-PDT灭杀HL-60细胞的浓度、暗孵育时间、照光时间和光波长等参数,总结对HL-60白血病肿瘤细胞进行Zn-BCA-PDT的较佳处理方案：细胞密度1×105个/mL,Zn-BCA浓度10μg/mL,暗室孵育3 h,照光时间50 min,光源波长为800 nm.     

血管生成素通过ERK信号通路促进HeLa细胞的增殖

目的通过细胞外信号调节激酶（extracellularregulatedproteinkinases,ERK）通路及NF-xB信号途径探讨血管生成素（angiogenin,Ang）对HeLa细胞的促增殖及抗凋亡作用机制。方法用不同浓度的重组人Ang刺激HeLa细胞,MTr法分析Ang对HeLa细胞的促增殖作用,蛋白质印迹实验检测ERK信号通路相关分子的表达情况。U0126抑制ERK信号通路,检测Ang诱导的ERKl／2的磷酸化及c—myc的表达情况,同时检测Ang对细胞增殖的影响。敲低Ang的表达,检测细胞的凋亡情况。双荧光素酶报告基因检测Ang对NF-KB报告基因的激活。蛋白水平检测Ang刺激的HeLa细胞后,NF—KB通路相关分子的表达。结果Ang能促进HeLa细胞增殖,ERKl／2的磷酸化水平及c—myc的表达随重组人Ang浓度的升高而增加。U0126能抑制Ang诱导的ERKI／2的磷酸化、c—myc的上调及细胞的增殖。Ang的低表达促进HeLa细胞的凋亡,但不影响NF-KB报告基因的激活及NF—KB通路上相关分子的表达。结论Ang能够促进HeLa细胞增殖,并通过活化ERK通路促进细胞的增殖,但其抑凋亡作用与NF-KB通路无关。     

Branching Random Walks With Several Sources*

A continuous-time branching random walk on multidimensional lattices with a finite number of branching sources of three types leads to explicit conditions for the exponential growth of the total number of particles. These conditions are expressed in terms of the spectral characteristics of the operator describing the mean number of particles both at an arbitrary point and on the entire lattice.     

异构小蜂窝网络移动性管理研究综述

新一代移动通信网络不断演进为高密集、无定型、立体分层的异构网络,移动性管理旨在保证用户设备（user equipment,UE）移动通信服务的连续性和无缝切换及降低信令开销等。移动性管理问题正成为异构小蜂窝网络（heterogeneous and small cell networks,HetNets）中无线资源管理需要应对的关键性挑战之一。阐述了移动性管理的一般性问题,根据移动性管理的主要特征给出了一个综合分类：整体切换性能增强、小蜂窝发现与识别增强和无线链路失效（radio link failure,RLF）恢复增强。此外,依据此分类对近年来第三代合作伙伴计划（3rd genera-tion partnership project,3GPP）成员在无线接入网（radio access network,RAN）标准化工作组历次会议中提出的主要移动性管理增强方案进行了分类阐述和性能对比。对异构小蜂窝网络的移动性管理所面临的挑战和未来研究的趋势进行展望,并在此基础上进行了总结。     

Keeping a close watch– the rise of self-surveillance and the threat of digital exposure

Digital technologies have given rise to increased occurrences of self-surveillance and forms of 'virtual vigilantism'. This has progressed from key moments such as the video recording of the Rodney King incident, to recording human rights abuses, to citizen grassroots surveillance. From this has emerged the phenomenon known as citizen journalism where recent urban crises have been recorded on mobile phones by the individuals involved. Also on the increase are forms of mob vigilantism, or 'participatory panopticon'; examples here include phone images spread over the Internet as severe forms of 'community punishment'. I argue that these unmediated forms of bottom-up surveillance – sousveillance – show the early signs of a new type of civil responsibility that stands unregulated and without restraint. This paper addresses the issues of increased individualised self-surveillance and asks whether this is the consequence of a personalised resistance to an ever increasing surveillance society.     

Risk Assessment of Listeria monocytogenes: Impact of Individual Cell Variability on the Exposure Assessment Step

Recently, the lag phase research in predictive microbiology is focusing more on the individual cell variability, especially for pathogenic microorganisms that typically occur in very low contamination levels, like Listeria monocytogenes. In this study, the effect of this individual cell lag phase variability was introduced in an exposure assessment study for L. monocytogenes in a liver paté. A basic framework was designed to estimate the contamination level of paté at the time of consumption, taking into account the frequency of contamination and the initial contamination levels of paté at retail. Growth was calculated on paté units of 150 g, comparing an individual-based approach with a classical population-based approach. The two different protocols were compared using simulations. If only the individual cell lag variability was taken into account, important differences were observed in cell density at the time of consumption between the individual-based approach and the classical approach, especially at low inoculum levels, resulting in high variability when using the individual-based approach. Although, when all variable factors were taken into account, no significant differences were observed between the different approaches, allowing the conclusion that the individual cell lag phase variability was overruled by the global variability of the exposure assessment framework. Even in more extreme conditions like a low inoculum level or a low water activity, no differences were created in cell density at the time of consumption between the individual-based approach and the classical approach. This means that the individual cell lag phase variability of L. monocytogenes has important consequences when studying specific growth cases, especially when the applied inoculum levels are low, but when performing more general exposure assessment studies, the variability between the individual cell lag phases is too limited to have a major impact on the total exposure assessment.     

NH_2D斯塔克盒的研究

介绍了10.6μm 双光路稳频中使用的斯塔克盒,盒内含有由 ND_3-NH_3,混合形成的 NH_2D气体,当斯塔克调谐到 CO_2激光器 P(20)支线中心时,在133Pa 总气压下,吸收系数为0.012cm~(-1),击穿电压>600V.     

Risk Assessment of Nongenotoxic Carcinogens Based upon Cell Proliferation/Death Rates in Rodents

Increased cell proliferation increases the opportunity for transformations of normal cells to malignant cells via intermediate cells. Nongenotoxic cytotoxic carcinogens that increase cell proliferation rates to replace necrotic cells are likely to have a threshold dose for cytotoxicity below which necrosis and hence, carcinogenesis do not occur. Thus, low dose cancer risk estimates based upon nonthreshold, linear extrapolation are inappropriate for this situation. However, a threshold dose is questionable if a nongenotoxic carcinogen acts via a cell receptor. Also, a nongenotoxic carcinogen that increases the cell proliferation rate, via the cell division rate and/or cell removal rate by apoptosis, by augmenting an existing endogenous mechanism is not likely to have a threshold dose. Whether or not a threshold dose exists for nongenotoxic carcinogens, it is of interest to study the relationship between lifetime tumor incidence and the cell proliferation rate. The Moolgavkar–Venzon–Knudson biologically based stochastic two-stage clonal expansion model is used to describe a carcinogenic process. Because the variability in cell proliferation rates among animals often makes it impossible to detect changes of less than 20% in the rate, it is shown that small changes in the cell proliferation rate, that may be obscured by the background noise in rates, can produce large changes in the lifetime tumor incidence as calculated from the Moolgavkar–Venzon–Knudson model. That is, dose response curves for cell proliferation and tumor incidence do not necessarily mimic each other. This makes the use of no observed effect levels (NOELs) for cell proliferation rates often inadmissible for establishing acceptable daily intakes (ADIs) of nongenotoxic carcinogens. In those cases where low dose linearity is not likely, a potential alternative to a NOEL is a benchmark dose corresponding to a small increase in the cell proliferation rate, e. g., 1%, to which appropriate safety (uncertainty) factors can be applied to arrive at an ADI.     

A Bayesian Approach to the Estimation of Expected Cell Counts by Using Log-Linear Models

ABSTRACT

In this article, Bayesian estimation of the expected cell counts for log-linear models is considered. The prior specified for log-linear parameters is used to determine a prior for expected cell counts, by means of the family and parameters of prior distributions. This approach is more cost-effective than working directly with cell counts because converting prior information into a prior distribution on the log-linear parameters is easier than that of on the expected cell counts. While proceeding from the prior on log-linear parameters to the prior of the expected cell counts, we faced with a singularity problem of variance matrix of the prior distribution, and added a new precision parameter to solve the problem. A numerical example is also given to illustrate the usage of the new parameter.