辽北新宾?苇子峪地区太古宙花岗质岩石的形成年代、成因及其地质意义

辽北新宾?苇子峪地区的花岗质岩石主要由英云闪长质?奥长花岗质片麻岩和二长花岗岩?正长花岗岩岩体等组成。为确定其形成年代及成因, 对这些花岗质岩石进行锆石U-Pb-Hf同位素和全岩地球化学分析。锆石LA-ICP-MS U-Pb同位素定年结果表明这些花岗质岩石均形成于新太古代, 英云闪长质和奥长花岗质片麻岩的岩浆结晶年龄分别为2588±4 Ma (MSWD=1.3)和2587±6 Ma (MSWD=1.8), 二长花岗岩?正长花岗岩则侵位于2555±4 Ma (MSWD=0.51)。全岩地球化学和锆石Lu-Hf同位素研究表明, 英云闪长质?奥长花岗质片麻岩形成于俯冲板片的部分熔融, 其原始岩浆在上升过程中受到地幔楔岩石的交代; 而二长花岗岩?正长花岗岩中一部分岩浆起源于变质杂砂岩的部分熔融, 其余形成于以变质玄武岩与变质沉积岩为主要成分的混合源区的部分熔融。结合近年的研究成果, 认为新宾?苇子峪地区的新太古代花岗质岩石可能形成于活动大陆边缘的动力学背景。     

大孔树脂纯化天麻多糖的工艺研究

本研究以炮制的干天麻为原料,水提醇沉法提取多糖,大孔吸附树脂纯化,比较了八种大孔树脂(AB-8、D101、LX-17、D301、NKA-9、S-8、LSD-001、ADS-7)对天麻多糖静态吸附-解析效果,筛选出最佳纯化树脂,再研究最佳树脂纯化天麻多糖工艺参数.结果为:八种大孔吸附树脂中D101对天麻多糖的纯化效果最好.样品液浓度、温度、上样速度,洗脱用乙醇浓度、洗脱流速及洗脱体积等因素均对D101树脂吸附分离天麻多糖有影响.所得的最佳纯化工艺为:20℃是较适宜的吸附温度,上样速度1BV/h,上样浓度4mg/mL,进行吸附;吸附饱和平衡后,用解析液浓度60%乙醇,解析速率2BV/h,解析液体积3BV进行动态洗脱.通过该工艺天麻多糖的纯度提高到了65.7%,表明了大孔树脂D101对天麻多糖具有较好的纯化效果.     

铜绿微囊藻与浮萍联合生长的生物学效应及其对污水环境指标的影响

本实验以1/5的Hoagland溶液为培养液,设置0、20、40、60、80、100 mL/L六个铜绿微囊藻（FACHB 930,107 cells/mL）接种梯度与少根紫萍（ZH0051,400 g/m2）共培养.结果发现,少根紫萍的生长速率、抗氧化物酶活性（SOD、APX和CAT）以及培养液中微囊藻毒素含量随着铜绿微囊藻接种量的增加呈现出先升高后降低的趋势,而少根紫萍体内微囊藻毒素却先降低后升高,淀粉累积量呈现出逐渐下降的趋势.铜绿微囊藻的接种量为20 mL/L时,少根紫萍的生长速率达到最大值（3.64 g/m2·d）.当接种量在60~80 mL/L之间时,少根紫萍能从培养液中高效的移除氮、磷.实验结果表明,当水体中铜绿微囊藻浓度在2.0×108 cells/L（接种量为20 mL/L）左右时,少根紫萍能够达到最大的生物量、相对高的淀粉累积量、以及高品质的氮磷去除率,并能有效地抑制铜绿微囊藻的生长.     

Adaptive Event-Based Consensus of Multi-Agent Systems with General Linear Dynamics

In this paper, adaptive event-based consensus of multi-agent systems with general linear dynamics is considered. A novel adaptive event-based controller and a state-dependent triggering function are proposed for each agent. The consensus can be achieved without the assumption that (A,B) is stabilizable. Furthermore, the Zeno-behavior of the concerned closed-loop system is also excluded under certain conditions. Finally, a numerical simulation example is presented to show the effectiveness of the theoretical results.     

融合倾斜仪数据的盾构姿态严密解算模型

推导了倾斜仪与盾构的严密标定模型;将倾斜仪采集的双轴角度数据视为平面点云,推导了倾斜仪角度数据的稳健估计方法;在前述模型方法的基础上,利用最小二乘配置方法建立了倾斜仪与棱镜数据融合的严密联合解算模型.最后,通过试验对上述模型方法进行了分析验证.结果证明,提出的盾构姿态解算模型正确可行.     

Loading-Balance Relay-Selective Strategy Based on Stochastic Dynamic Program

A Relay-Assisted(RA) network with relay selection is considered as a type of effective technology to improve the spectrum and energy efficiency of a cellular network. However, loading balance of the assisted relay node becomes an inevitable bottleneck in RA network development because users do not follow uniform distribution. Furthermore, the time-varying channel condition of wireless communication is also a major challenge for the RA network with relay selection. To solve these problems and improve the practicability of the RA network, a Loading Balance-Relay Selective(LBRS) strategy is proposed for the RA network in this paper. The proposed LBRS strategy formulates the relay selection of the RA network under imperfect channel state information assumption as a Multistage Decision(MD) problem. An optimal algorithm is also investigated to solve the proposed MD problem based on stochastic dynamic program. Numerical results show that the performance of the LBRS strategy is better than that of traditional greedy algorithm and the former is effective as an exhaustive search-based method.     

Crystal-KMC: Parallel Software for Lattice Dynamics Monte Carlo Simulation of Metal Materials

Kinetic Monte Carlo(KMC) is a widely used method for studying the evolution of materials at the microcosmic level. At present, while there are many simulation software programs based on this algorithm, most focus on the verification of a certain phenomenon and have no analog-scale requirement, so many are serial in nature. The dynamic Monte Carlo algorithm is implemented using a parallel framework called SPPARKS, but it does not support the Embedded Atom Method(EAM) potential, which is commonly used in the dynamic simulation of metal materials. Metal material — the preferred material for most containers and components — plays an important role in many fields, including construction engineering and transportation. In this paper, we propose and describe the development of a parallel software program called Crystal-KMC, which is specifically used to simulate the lattice dynamics of metallic materials. This software uses MPI to achieve a parallel multiprocessing mode, which avoid the limitations of serial software in the analog scale. Finally, we describe the use of the parallel-KMC simulation software Crystal-KMC in simulating the diffusion of vacancies in iron, and analyze the experimental results. In addition, we tested the performance of Crystal-KMC in "meta-Era" supercomputing clusters, and the results show the Crystal-KMC parallel software to have good parallel speedup and scalability.     

A framework for personalized adaptive user interest prediction based on topic model and forgetting mechanism

User interest is not static and changes dynamically. In the scenario of a search engine, this paper presents a personalized adaptive user interest prediction framework. It represents user interest as a topic distribution, captures every change of user interest in the history, and uses the changes to predict future individual user interest dynamically. More specifically, it first uses a personalized user interest representation model to infer user interest from queries in the user’s history data using a topic model; then it presents a personalized user interest prediction model to capture the dynamic changes of user interest and to predict future user interest by leveraging the query submission time in the history data. Compared with the Interest Degree Multi-Stage Quantization Model, experiment results on an AOL Search Query Log query log show that our framework is more stable and effective in user interest prediction.     

Seasonal Variation and Land-Use/Land-Cover Type Impacts on the Correlation of Urban Heat Island Intensity and Difference Vegetation Index with Satellite Data in Xi’an,China

Green coverage has pronounced influences on urban heat island (UHI) effect, while the impacts of seasonal variation and Land-Use/Land-Cover (LULC) types on this effect has not been implemented. This paper investigated the spatio-seasonal characteristics of urban thermal environment and the vegetation-soil mixed area, and then explored the effects of vegetation status on UHI intensity from the perspectives of seasons and regions in Xi’an using four Landsat 8 images. UHI intensity index was implemented to extract UHI intensity based on thermal infrared imagery, and difference vegetation index (DVI) was used to represent vegetation-soil mixed area. Results indicated that DVI has impacts on UHI intensity, and their relations vary with season and region. In the whole Xi’an, if UHI intensity is smaller than -0.1, DVI increases with the increase of UHI intensity; whereas for UHI intensity is greater than -0.1, DVI decreases with increases of the UHI intensity from early spring to autumn. The highest correlation level was discovered in the autumn map (R²=0.713). Results of correlation analysis further displayed that DVI positively correlated with UHI intensity at impervious surface, and that the main urban area possessed the best correlation with R²=0.564 5.