An Empirical Analysis of China Price Transmission Mechanism After 2008 Financial Crisis

本文采用扩展SOP模型的方法,分析金融危机发生以来我国rMPI、PPI、CgPI和CPI物价传导机制的特征。结果发现,生产环节的PPI对上游投入环节的rMPI和下游批发环节的CgPI传导不畅,生产厂商在价格传递链处于夹心地位;金融危机后,消费环节的CPI不能回馈传导上游的任何环节,居民的需求拉动能力和作用发挥不明显。The post-financial crisis price transmission mechanism between RMPI,PPI,CGPI,and CPI is investigated by using extended stage of processing model.The empirical evidence shows that,changes in RMPI transmit to PPI,not vice versa,and PPI response to the changes in CGPI.After the financial crisis,the changes in CPI do not feedback to any stage in the price chain,the consumer demand is not the key factor in driving prices.国家社会科学基金资助项目(09CJY013;11CJY098); 中央高校基本科研业务费专项资金资助项目(2014ZM0082;2014GD03

多道ICP-AES与瞬时进样技术在线联用的信号采集和处理

报道了一种适用于多道ICP-AES和多种瞬时进样技术在线联用的信号采集、处理方法及相应软件.该方法适用范围较宽,已成功地用于4种不同联用技术的信号检测

降钙素受体基因多态性与老年男性骨密度关系

[目的]探讨降钙素受体基因（CTR）C1377T基因多态性与老年男性人群骨密度相互关系.[方法]选取年龄≥65岁广州地区汉族男性个体247例,采用双能X线吸收法（DEXA）测定其全身、腰椎2～4（L2～4）、股骨颈（Neck）、粗隆间（Inter）、Ward＇三角和大转子（Troch）区等部位的骨密度（BMD）值,并采用聚合酶链反应限制性片段长度多态性（PCR-RFLP）技术检测外周血白细胞基因组降钙素受体基因多态性.[结果]247例受试对象中,CTR基因型分别为CC型205例（83.0%）,CT型39例（15.8%）,TT型3例（1.2%）;基因频率CC型为90.9%,TT型为9.1%,基因型分布符合Hardy-weinberg定律.分析其基因型与骨密度的关系显示,含有酶切位点的个体（CT＋TT）除在腰椎侧位（L2～L4）及Ward＇三角（Ward＇s）的骨密度比不含酶切位点的基因型的骨密度值有显著性升高外（P＜0.05）,其他部位骨密度值之间的差异无统计学意义.[结论]降钙素基因C1377T基因多态性尚不能作为预测汉族老年男性发生骨质疏松危险性的遗传标志

The decreasing wind speed in southwestern China during 1969-2009,and possible causes

Daily wind speed data from 110 stations in southwestern China were analyzed to determine trends,spatial differences and possible causes. There was a statistically significant decrease of 0.24 m/s per decade in the annual mean wind speed during the period 1969-2009. The decreasing trend was faster during 1969-2000. Between 2001 and 2009, there was a significant increase. The pattern of seasonal changes was similar. Stations with stronger, significant decreasing trends were mainly on the Xizang Plateau, the Hengduan Mountains and the Yunnan Plateau, and stations with significantincreasing trends were mainly in the Sichuan basin, indicating the influence of altitude on wind speed.Surface wind speeds in southwestern China have been affected in recent years by both the changed large-scale atmospheric circulation and regional and global warming, while the weakening surface pressure gradient between high and low latitudinal regions may be an important contributor to the decreased wind speed under the asymmetric warming during 1969-2009. The data indicated a positive correlation between wind speed and sunshine duration suggesting another possible influencing factor.Topographical influences are evident in the higher annual and seasonal trends at summit and intermontane basin stations and the lower trends at valley stations

深圳市红树植物群落碳储量的遥感估算研究

红树林在全球碳循环中扮演着重要角色。利用SPOT5影像数据,得到深圳市红树林的空间分布特征;利用样方调查数据,采用逐步回归方法,建立红树植物群落碳密度估算模型,评估深圳市红树植物群落的碳储量。研究结果表明,深圳市红树林主要分布在福田区、宝安区、南山区和大鹏新区,总面积约为169.7 hm2;以多波段光谱反射率和归一化植被指数作为自变量建立的红树植物群落碳密度回归方程的拟合效果较好,决定系数为0.75,平均相对误差为27.32%,可以用来估算红树植物群落碳密度和碳储量;2012年深圳市红树植物群落碳储量为0.93×104t,平均红树植物群落碳密度为54.81 t/hm2。其中,大鹏新区盐灶村银叶树(Heritiera littoralis)群落的碳密度最高,达到70.02 t/hm2,福田区红树林自然保护区中的红树植物群落碳储量最高,约占深圳市红树植物群落碳储量的70%。The mangroves play an important role in global carbon cycle. This study used SPOT 5 remote sensing image data to obtain the spatial distribution characteristics of mangroves in Shenzhen. And this study also utilized sample survey data, stepwise regression method and mangrove carbon density estimation model to assess the carbon stocks of mangroves in Shenzhen. The research results showed that the mangroves in Shenzhen were mainly distributed in Futian District, Baoan District, Nanshan District and Dapeng New District,with a total area of about 169.7 ha. The fitting effect of the mangrove carbon density regression equation with multi-band spectral reflectance and normalized vegetation index as independent variables is better, with 0.75 of the determination coefficient of and 27.32% of the average relative error, which could be used to estimate the carbon density and carbon storage of mangroves. The carbon storage of mangroves in Shenzhen in 2012 was 0.93 × 104 t, and the carbon density was 54.81 t/ha. Among them, the highest carbon density was in the Heritiera littoralis community in Dapeng New District, reaching 70.02 t/ha. And the highest carbon storage was in Futian mangrove nature reserve, which accounted for about 70% of mangrove carbon storage in Shenzhen

不可压热流体中气体传质扩散过程的LBM数值模拟

控制流体流动中溶解的气体分子浓度能有效控制流动过程中的化学反应,而由热产生的自然对流能够加强气体分子的传递,因此研究气体分子在热流体流动中的扩散混合过程有重要意义。应用格子Boltzmann方法,耦合热效应和扩散效应,数值模拟了一个简化的容器中随着自然对流的发展,溶解的氧气分子在整个容器中的扩散过程。首先建立了二维9速模型的双扩散模型来模拟热量和质量的双扩散对流。为了考察不同自然对流流动对气体分子传递的影响,设计了3种不同给热条件,对不同热流动的形成过程和气体分子扩散过程进行了模拟,与文献结果吻合良好。通过详细分析热边界如何影响流动和传质过程,证实了模拟的速度场与文献数据差异的合理性,同时为控制气体传质过程提供给热条件的设计依据

不可压热流体中气体传质扩散过程的LBM数值模拟

控制流体流动中溶解的气体分子浓度能有效控制流动过程中的化学反应,而由热产生的自然对流能够加强气体分子的传递,因此研究气体分子在热流体流动中的扩散混合过程有重要意义。应用格子Boltzmann方法,耦合热效应和扩散效应,数值模拟了一个简化的容器中随着自然对流的发展,溶解的氧气分子在整个容器中的扩散过程。首先建立了二维9速模型的双扩散模型来模拟热量和质量的双扩散对流。为了考察不同自然对流流动对气体分子传递的影响,设计了3种不同给热条件,对不同热流动的形成过程和气体分子扩散过程进行了模拟,与文献结果吻合良好。通过详细分析热边界如何影响流动和传质过程,证实了模拟的速度场与文献数据差异的合理性,同时为控制气体传质过程提供给热条件的设计依据