一种基于全IP蜂窝网络的实时业务传输机制*

针对无线蜂窝网络和Internet的业务特点,分析了在信道带宽有限、传输误码率高的无线网络中传输基于IP的实时业务所面临的问题.针对下一代蜂窝网络中基于IP技术实现多媒体业务要求,从无线网络上实际传送的码流角度,结合ROHC机制提出一种在信道传输速率不变的条件下,提高码流传输效率的方法,并且探究了空中链路的全IP机制.从采样编码后输出的净码流和经过封装后的码流两个角度来分析,提出了高效的针对全IP的蜂窝网络的实时交互式语音业务的新方案.     

Adenosine Signaling in Mast Cells and Allergic Diseases

Adenosine is a nucleoside involved in the pathogenesis of allergic diseases. Its effects are mediated through its binding to G protein-coupled receptors: A1, A2a, A2b and A3. The receptors differ in the type of G protein they recruit, in the effect on adenylyl cyclase (AC) activity and the downstream signaling pathway triggered. Adenosine can produce both an enhancement and an inhibition of mast cell degranulation, indicating that adenosine effects on these receptors is controversial and remains to be clarified. Depending on the study model, A1, A2b, and A3 receptors have shown anti- or pro-inflammatory activity. However, most studies reported an anti-inflammatory activity of A2a receptor. The precise knowledge of the adenosine mechanism of action may allow to develop more efficient therapies for allergic diseases by using selective agonist and antagonist against specific receptor subtypes.     

Potential Antitumor Effects of 6-Gingerol in p53-Dependent Mitochondrial Apoptosis and Inhibition of Tumor Sphere Formation in Breast Cancer Cells

Hormone-specific anticancer drugs for breast cancer treatment can cause serious side effects. Thus, treatment with natural compounds has been considered a better approach as this minimizes side effects and has multiple targets. 6-Gingerol is an active polyphenol in ginger with various modalities, including anticancer activity, although its mechanism of action remains unknown. Increases in the level of reactive oxygen species (ROS) can lead to DNA damage and the induction of DNA damage response (DDR) mechanism, leading to cell cycle arrest apoptosis and tumorsphere suppression. Epidermal growth factor receptor (EGFR) promotes tumor growth by stimulating signaling of downstream targets that in turn activates tumor protein 53 (p53) to promote apoptosis. Here we assessed the effect of 6-gingerol treatment on MDA-MB-231 and MCF-7 breast cancer cell lines. 6-Gingerol induced cellular and mitochondrial ROS that elevated DDR through ataxia-telangiectasia mutated and p53 activation. 6-Gingerol also induced G0/G1 cell cycle arrest and mitochondrial apoptosis by mediating the BAX/BCL-2 ratio and release of cytochrome c. It also exhibited a suppression ability of tumorsphere formation in breast cancer cells. EGFR/Src/STAT3 signaling was also determined to be responsible for p53 activation and that 6-gingerol induced p53-dependent intrinsic apoptosis in breast cancer cells. Therefore, 6-gingerol may be used as a candidate drug against hormone-dependent breast cancer cells.     

微波诱导稀土复合固体超强酸SO4^2-／ZrO2-Nd2O3催化合成乙酸苄酯

以新型稀土复合固体超强酸为催化剂，在微波辐射下苯甲醇和乙酸反应合成了乙酸苄酯，探索反应各因素对酯化率的影响。实验结果表明：SO4^2-／ZrO2-Nd2O3具有较高的催化活性。最佳反应条件为：醇酸摩尔比2．0（乙酸用量为0．2mol前提下），催化剂用量为1．8g，带水剂环己烷12mL，微波辐射功率550W，辐射时间25min，酯化率可达96．3％。该催化剂易于回收且可重复使用，具有良好的活性稳定性。     

水利工程施工应急能力G1-灰色评价方法研究

为有效加强水利工程应急能力建设,采用G1-灰色综合评价法对水利工程应急能力进行了综合评价研究。在水利工程施工特点和应急管理研究基础上,建立应急能力评价指标体系。通过采用G1法分析各应急能力评价指标相互关系,确定了指标权重。引入灰色理论将样本信息处理成灰色评价矩阵,并结合指标权重进行单值化处理得到应急能力综合评价值和评价等级。研究结果表明,搜救抢险能力、应急资源调配能力和应急决策指挥能力对于水利工程应急能力建设起到最主要的作用。该评价方法不仅可揭示指标重要程度关系,还能有效量化和评价水利工程项目综合应急水平,具有较好的实用性。     

基于ZigBee的风电杆塔状态及机组振动监测系统研究

为了解决杆塔倾斜、沉降以及机组故障给风力发电带来的不必要的损失,提出了基于ZigBee的风电杆塔状态及机组振动在线监测系统。系统由传感器采集节点、网络协调节点以及监控中心节点组成。采用CC2530处理器来控制传感器采集杆塔的倾斜、沉降以及振动数据,通过多节点协同方式完成对桨叶片的图像采集和处理,并在协调节点汇聚,通过3G网络传到程的处监控中心,保证风电杆塔及机组安全、稳定地运行。     

Cu（II）掺杂纳米TiO2的制备及其应用研究

本文利用水热法制备了Cu(II)掺杂的纳米TiO2，并用X射线衍射分析仪(XRD)和扫描电镜(SEM)对其进行了表征。将该材料固定于球形分子筛表面作为催化剂，在流动式圆筒反应器中对罗丹明6G(R-6G)和印染污水进行处理，表现出优良的光催化性能。     

聚氨酯泡沫固定化重组枯草杆菌三段培养生产青霉素酰化酶

引　言青霉素G酰化酶 (penicillinGacylase ,EC3 5 1 11,PGA)是 β 内酰胺类抗生素工业中的关键酶之一 .目前主要采用大肠杆菌和巨大芽孢杆菌进行工业化生产 ,但由于产酶水平较低、变温发酵和需要苯乙酸诱导等缺点 ,国内外研究者尝试采用各种基因重组技术 ,以期大幅度提高产酶     

Implicit Bayesian Inference Using Option Prices

Abstract. A Bayesian approach to option pricing is presented in which posterior inference about the underlying returns process is conducted implicitly via observed option prices. A range of models allowing for conditional leptokurtosis, skewness and time‐varying volatility in returns are considered, with posterior parameter distributions and model probabilities backed out from the option prices. Models are ranked according to several criteria, including out‐of‐sample predictive and hedging performance. The methodology accommodates heteroscedasticity and autocorrelation in the option pricing errors, as well as regime shifts across contract groups. The method is applied to intraday option price data on the S&P500 stock index for 1995. While the results provide support for models that accommodate leptokurtosis and skewness, no one model dominates when all criteria are considered.