沈阳市休闲农业市场需要分析

沈阳市休闲农业虽处于初期发展阶段,但广大农村拥有丰富的旅游资源,市场空间和需求潜力巨大。介绍沈阳市休闲农业的发展现状、需求主体及发展趋势,分析其发展中存在的主要问题,并提出切实可行的发展建议。     

Power spectrum density and experimental modal analysis of wide belt sander applied in domestic wood industry

This paper took the upper-lower wide belt sander B229 with four-feet wide belts, manufactured in China, as the study target. By means of framework dynamic design, we study its vibration characteristics by commencing from the place having horizontal defects and used experimental modal analysis (EMA) and power spectrum density (PSD) to observe the sanding parts and the whole machine, respectively. In the modal test, we mainly adopted the cross spots testing method to get the frequency response function of the fixed spots to every excitation vibration spot, then applied the SISO frequency response function and the frequency response function fitting method to identify and complete parameter recognition, respectively. The typical frequency response function chart of the whole machine and its sanding parts, as well as its second-order mode charts of contacting roller, were obtained. Through PSD analysis, we can get the amplitude-frequency spectrum and drive frequency. Translated from Scientia Silvae Sinicae, 2005, 41(6): 132–137 [译自: 林业科学]     

柴油机燃用菜籽油的耐久性试验研究

柴油机燃用菜籽油植物油的短期耐久试验证明了植物油可作为一种代用燃料,但同时也暴露出了一系列的问题.试验后观察试验柴油机的主要零部件可看到:燃烧室的表面有大量的积碳、喷油器结焦、气门黏滞、缸套轻微刮伤等现象.这导致了柴油机性能的下降、油耗的升高和经济性的下降.其中,喷油器结焦和气门黏滞是性能下降的主要原因.     

广东省科技工作者学术影响力研究——基于1978-2008年SCI的统计分析

利用文献计量学方法,采集1978-2008年SCI数据库中收录广东省科技工作者论文的数据,对广东省科技工作者SCI论文的生产力、影响力、创新力进行统计分析,从中获得广东省科学研究有重要学术影响力的学者。     

基于知识图谱的燃煤电厂与汞研究态势分析

为追踪燃煤电厂与汞的最新进展和排放控制,基于Web of Science数据来源,使用VOSViewer、CiteSpace软件对比了论文数量时间变化、主题演化路径,主要研究实力分布、高影响力论文等知识图谱进行了比较分析,系统了解到中美两国在该领域研究领先,而近期热点是围绕烟气、减排和有害微量元素.     

工业缝纫机电动机节电器的研制

对研制工业电动缝纫机节电器的必要性、可行性进行了分析,介绍了节电器的工作原理,设计了系统结构,给出了基本线路和实用接线方法。     

基于突变级数法的城市旅游竞争力评价研究——以珠江三角洲城市为例

介绍了突变理论的基本思想,并依据突变级数法构建了城市旅游竞争力评价指标体系,以珠江三角洲城市为例对其城市旅游竞争力进行了综合评价。根据对评价结果的综合分析,提出了提高珠江三角洲城市旅游竞争力的若干建议。     

What are the best correlates of predicted extinction risk?

Direct estimates of extinction risk are frequently unavailable, so surrogate indicators are used in threatened species categorizations, but there is inadequate information on which best predict vulnerability. We compared the ability of 16 frequently-used factors to predict extinction risk for 45 vertebrate taxa. Median times to extinction were estimated using taxon-specific stochastic population models. Population size (N) and trend were clearly the best correlates of extinction risk in our data set. Stepwise multiple regression with additive and interaction terms identified N, N × trend, plus taxonomic level, number of sub-populations × N × trend, number of offspring (O) and N × O as predictors, and explained 70% of the variation. Trend was important in large, but not in small populations. Population size is the most important data to collect for threatened species and with trend should be the major focus in endangered species categorization and state of the environment reporting.