羟基喜树碱联合丝裂霉素诱导人白血病K562细胞凋亡

观察羟基喜树碱与丝裂霉索联合应用对人白血病细胞K562的作用效果,并探讨其机制。不同浓度羟基喜树碱与丝裂霉素单独及联合作用于人白血病细胞K562后,应用台盼蓝拒染法检测细胞生长抑制率,计算合用指数（CI）,流式细胞仪（FCM）检测K562细胞凋亡率,吖啶橙（AO）荧光染色和透射电镜观察凋亡形态学变化。结果表明：单独应用时羟基喜树碱和丝裂霉素的IC50分别是8μ/mL和12．5μg/mL,联合应用时IC50下降为4μg/mL（HCPT）和3．6μg/mL（MMC）,CI=0．78,为协同效应。羟基喜树碱与丝裂霉素单独及联合应用均可诱导K562细胞凋亡。2种药物联合应用时的凋亡率高于各自单独用药。羟基喜树碱与丝裂霉素联合应用可以通过共同诱导细胞凋亡。协同抑制人白血病细胞生长。     

不同含水率下非饱和黄土K0固结特性试验

针对非饱和原状黄土进行了不同含水率下的恒荷重K0固结试验研究,分析了含水率对割线模量,应力应变特性及侧压力系数的影响。试验表明,在其他条件相同的情况下,割线模量随着荷载的施加逐渐减小,最终趋于稳定,达到稳定值时的割线模量随着含水率的增大而减小,且与含水率线性相关;含水率越大,静止侧压力系数K0增长速率越快,至土结构完全破坏,K0趋于稳定;不同含水率的K0值最终趋于稳定,且稳定值差异性较小;提出了考虑含水率因素的连续加载条件下K0固结过程的变形模型,为研究黄土地区K0固结过程中土体变形特性及路堤沉降提供参考。     

Ser411磷酸化p70S6k的细胞免疫化学定位

培养NIH3T3细胞，结合免疫印迹和细胞免疫荧光染色法，对p70的S6激酶（p70^S6k）及其第411位丝氨酸（Ser^411）处于磷酸化状态的细胞定位进行研究．利用免疫荧光染色技术，发现p70^S6k存在于细胞的各个部分，而Ser^411磷酸化后的p70姒只存在细胞核内．将细胞核与细胞质分离，并利用抗磷酸化Ser^411的抗体进行免疫印迹分析，发现只有细胞核部分才出现免疫条带，说明Ser^411磷酸化后的p70^S6k特异性地存在于细胞核当中．     

基于以太网的电能计量采集装置的设计

传统的电能计量计费装置通过本地232中继、484远传、GPRS通信或者电台通信使主站用户得到实时数据,往往这些主站只和电力营销部门相关,作为电力消费结算的依据,而并没有接入到电网的调度自动化系统,这使得大用户的信息不能共享给全局调度系统.本装置通过采用以太网技术实现远动设备及系统的102规约,使其能够接入调度自动化系统,为电网调度的统筹安排提供一线大客户数据.     

Effect of Ce^＋ Ion Implantation upon Oxidation Resistance of Superalloy K38G

The addition of small quantities of reactive ele ments (RE) or other elements with high oxygen affini ty, usually in the order of 0 1%~0 2% mass frac tion, will result in a beneficial effect on the oxidationresistance to superalloys[1~4].A number of mechanisms have been proposed toexplain the beneficial effect of RE additions on theCr2O3 forming alloys, including physical blocking byRE ions or second phase particles at grain boundaries,pegging effect between the oxide and the …     

温州某办公大楼玻璃幕墙热工性能参数对空调冷负荷的影响

阐述了玻璃幕墙的传热系数K值与遮阳系数Sc的取值不同对空调冷负荷的影响;指出了不能单纯以K值来评估玻璃幕墙的热工性能的优劣,Sc值对热工性能影响更大,只有综合考虑K值和Sc值及环境因素,才能选择一个节能、环保的合适玻璃幕墙.     

钨条钾含量和钨丝抗下垂性能的研究

研究了钨条钾含量与钨丝抗下垂性能的关系。结果表明:钨条中有效钾含量在(50~80)×10-6之间时,钨丝具有良好的抗下垂性能;且钨丝的晶粒形状、组织结构、烧氢定形工艺均对其抗下垂性能有明显影响。     

Sputter deposition of bcc tantalum films with TaN underlayers for protection of steel

Deposition of tantalum films for protective coatings on steel has been investigated. The desired tough and ductile bcc phase of tantalum, rather than the normally deposited hard and brittle tetragonal phase, has been grown by DC magnetron sputtering on unheated substrates first covered with thin layers of tantalum nitride. The nitride was formed by reactive sputtering with nitrogen gas, with the same DC magnetron source and target as used for deposition of tantalum. The crystal structure and composition of the nitride promoting the growth of bcc Ta, previously undefined, has been identified as the metastable fcc (NaCl like) TaN. Alignment of the (111) crystallographic planes of fcc TaN with (110) planes of bcc Ta is discussed as a possible mechanism for this effect. The minimum thickness of TaN underlayer on steel, required to promote the growth of bcc Ta, has been established and found to be dependent on the substrate surface preparation. Scratch tests with a diamond tip showed that the nitride underlayer does not compromise the film adhesion. Stable and well-adhering coatings of bcc Ta with thickness ranging from tens of nanometers to tens of micrometers on steel with a thin TaN underlayer were obtained. The process of deposition of bcc Ta films, including the formation of TaN underlayers is described in detail.     

等宽K型间隙方管节点静力工作性能的研究

焊接矩形管结构设计中的关键问题是节点的受力性能。利用非线性有限元分析方法，采用典型节点分析与较大规模几何参数分析相结合的研究手段，对等宽K型间隙方管节点的静力工作性能进行了研究。不仅跟踪了节点荷载－位移曲线的全过程，而且全面考察了主要参数对节点刚度、极限承载力、变形、失效模式等方面的影响，并将分析结果与CIDECT公式计算结果相比较，得出控制此类节点的失效模式主要是弦杆的整体 剪切失效、“有效宽度”失效、腹板局部承压破坏以及这几种破坏形式的混合模式。     

On Advances in Statistical Modeling of Natural Images

Statistical analysis of images reveals two interesting properties: (i) invariance of image statistics to scaling of images, and (ii) non-Gaussian behavior of image statistics, i.e. high kurtosis, heavy tails, and sharp central cusps. In this paper we review some recent results in statistical modeling of natural images that attempt to explain these patterns. Two categories of results are considered: (i) studies of probability models of images or image decompositions (such as Fourier or wavelet decompositions), and (ii) discoveries of underlying image manifolds while restricting to natural images. Applications of these models in areas such as texture analysis, image classification, compression, and denoising are also considered.