8单元均匀圆阵天线互耦合校正方法

提出了一种8单元均匀圆阵天线互耦合校正方法。通过采用压缩感知方法,在互耦合效应存在的情况下估计校正信号源的到达角,并确定互耦合系数的迭代初始值,然后通过求解一个优化问题来得到互耦合系数。仿真实验与实测数据结果表明，所提的压缩感知方法能够精确估计校正信号源的到达角,所提方法计算得到的互耦合系数对8单元均匀圆阵天线的校正效果良好。     

Combretastatin B-1的化学合成及结构衍生化研究

近来,Combretastatin B-1（CB1）由于在抗肿瘤活性尤其在靶向恶性肿瘤血管的选择性方面引起了医学界广泛关注.该化合物提取自药用植物Combretum caffrum,其抑制肿瘤细胞生长,抑制血管生成和微管蛋白聚合方面的应用前景激发了人们对CB1化学合成的极大兴趣.CB1及其衍生物是一类具有广泛生物活性和良好应用前景的化合物,因此CB1的化学合成及结构衍生化研究显得极为重要.     

高职学生生态意识形成维度与对策研究

美丽中国建设是当前和谐社会建设的目标之一,与社会公民生态意识的形成状态密切相关。探讨高职学生生态意识形成的文化、伦理、制度、教育等维度,提高他们的生态意识自觉,既有利于为社会培育生态素质全面与人格健全的应用型人才,也有利于创建生态文明的美丽中国。     

基于keystone变换的噪声调频连续波雷达高速目标探测

针对目标高速运动导致严重多普勒色散的问题,提出基于keystone变换的距离徙动校正方法。根据噪声调频连续波无周期性的特点,对回波信号采用等间隔重叠分段法进行频域相关处理。结合快速离散时间尺度变换算法,能够实现高效的长时间相参积累。无需先验知识,能处理多目标场景。通过仿真实验验证了该方法的有效性,并与传统时域相关法进行了比较和分析。当目标未出现距离徙动时,该文方法和时域相关法对目标输出信噪比的提升效果基本一致。当目标出现距离徙动后,时域相关法的输出信噪比迅速下降,恶化程度与徙动严重程度成正比,而该文方法经距离徙动校正后的输出信噪比则基本不受目标速度的影响,且仍随积累时间的增加而增大。     

渤海辽东湾旅游资源整合开发研究

以渤海辽东湾为研究对象,探查梳理了旅游资源的空间分布;解析旅游资源结构和特点发现其各类国家级旅游资源在辽宁省内具有一定的比较优势,辽东湾两岸旅游资源虽特色互补但旅游发展却东强西弱;为改变辽东湾旅游发展问题提出旅游全方位开发策略,在巩固提升原有品牌旅游的基础上,借助无景点旅游发展盘活羡余旅游资源,基于非高铁出游进行圈层式整合开发,基于高铁出游进行点轴式旅游整合开发.     

新乡市工业发展效率与城市转型绩效评价

从工业发展效率和城市综合发展两个方面评价新乡市近年来的转型发展效果.基于数据包络分析的Malmquist指数法,对新乡市工业部门投入产出效率进行测算分析,发现新乡市工业发展态势良好,绝大部分行业依靠技术进步和技术效率的提高取得了生产率的改善,逐步走向集约型的经济增长道路;构建新乡市城市转型绩效评价指标体系,综合考虑经济指标、社会指标、资源指标和环境指标,运用熵权法对其城市转型效果进行测度分析,结果表明新乡市城市转型运行情况良好,经济指数、环境指数取得了较大的进步,而资源指数和社会指数进步较小.     

Research progress in ZnO single-crystal: growth,scientific understanding,and device applications

Zinc oxide, a wide band-gap semiconductor, has shown extensive potential applications in high-efficiency semiconductor photoelectronic devices, semiconductor photocatalysis, and diluted magnetic semiconductors. Due to the undisputed lattice integrity, ZnO single crystals are essential for the fabrication of high-quality ZnO-based photoelectronic devices, and also believed to be ideal research subjects for understanding the underlying mechanisms of semiconductor photocatalysis and diluted magnetic semiconductors. This review, which is organized in two main parts, introduces the recent progress in growth, basic characterization, and device development of ZnO single crystals, and some related works in our group. The first part begins from the growth of ZnO single crystal, and summarizes the fundamental and applied investigations based on ZnO single crystals. These works are composed of the fabrication of homoepitaxial ZnO-based photoelectronic devices, the research on the photocatalysis mechanism, and dilute magnetic mechanism. The second part describes the fabrication of highly thermostable n-type ZnO with high mobility and high electron concentration through intentional doping. More importantly, in this part, a conceptual approach for fabricating highly thermostable p-type ZnO materials with high mobility through an integrated three-step treatment is proposed on the basis of the preliminary research.     

城市表层土壤重金属污染分析研究

基于某城市城区土壤地质环境调查得到的城市不同功能区、不同海拔位置的表层土壤中8种主要重金属浓度为样本,评价了该城区内不同区域重金属的污染程度;通过数据分析了重金属污染的主要原因;基于重金属污染物的传播特征,建立了确定污染源的位置的数学模型;为了更好地研究城市地质环境的演变模式,指出应收集更多信息以及利用这些信息如何建立模型解决问题.     

公共财政视角下的西藏新型城镇化发展探析

新型城镇化发展是人类社会实现区域统筹协调发展、构建和谐社会的必经阶段,也是西藏实现城乡一体化、逐步走出贫困落后的重要环节之一。公共财政以其自身所具有的职能属性,在新型城镇化发展进程中具有巨大的促进作用。文章分析了公共财政在新型城镇化发展进程中的职能定位,结合西藏具体区情,探讨了西藏在新型城镇化发展中面临的问题,并基于公共财政的视角提出西藏新型城镇化发展的对策建议。     

Temporal dynamics in social trust prediction

Inferring unknown social trust relations attracts increasing attention in recent years. However, social trust, as a social concept, is intrinsically dynamic, and exploiting temporal dynamics provides challenges and opportunities for social trust prediction. In this paper, we investigate social trust prediction by exploiting temporal dynamics. In particular, we model the dynamics of user preferences in two principled ways. The first one focuses on temporal weight; the second one targets temporal smoothness. By incorporating these two types of temporal dynamics into traditional matrix factorization based social trust prediction model, two extended social trust prediction models are proposed and the cor- responding algorithms to solve the models are designed too. We conduct experiments on a real-world dataset and the results dem- onstrate the effectiveness of our proposed new models. Further experiments are also conducted to understand the importance of temporal dynamics in social trust prediction.