Effects of different carbon sources and C/N values on nonvolatile taste components of Pleurotus eryngii

Pleurotus eryngii, the second largest industrial cultivation mushroom in China, is usually cultivated on substrates mainly consisting of sawdust and corncob. In this study, experiments were performed to determine the effects of different carbon sources and C/N values on nonvolatile taste components of P. eryngii. The effects of different carbon sources on nonvolatile taste components levels revealed that sawdust was beneficial to high levels of crude protein, amino acids, 5′‐nucleotides and equivalent umami concentration, while corncob was beneficial to high contents of carbohydrate, polysaccharides and trehalose. At the similar C/N values, relatively higher sawdust content was beneficial to umami amino acid production, while relatively higher corncob content was beneficial to high contents of carbohydrate, polysaccharides and mannitol. Higher C/N value was beneficial to high levels of crude protein, amino acids, 5′‐nucleotides and equivalent umami concentration, while lower C/N value was beneficial to high contents of carbohydrate, polysaccharides and trehalose. These results provided information for P. eryngii fruit body industrial cultivation to obtain specific nonvolatile taste components with high levels.     

Using electroencephalogram to continuously discriminate feelings of personal thermal comfort between uncomfortably hot and comfortable environments

Thermal comfort is an important factor for the design of buildings. Although it has been well recognized that many physiological parameters are linked to the state of thermal comfort or discomfort of humans, how to use physiological signal to judge the state of thermal comfort has not been well studied. In this paper, the feasibility of continuously determining feelings of personal thermal comfort was discussed by using electroencephalogram (EEG) signals in private space. In the study, 22 subjects were exposed to thermally comfortable and uncomfortably hot environments, and their EEG signals were recorded. Spectral power features of the EEG signals were extracted, and an ensemble learning method using linear discriminant analysis or support vector machine as a sub-classifier was used to build the discriminant model. The results show that an average discriminate accuracy of 87.9% can be obtained within a detection window of 60 seconds. This study indicates that it is feasible to distinguish whether a person feels comfortable or too hot in their private space by multi-channel EEG signals without interruption and suggests possibility for further applications in neuroergonomics.     

H9000 V4.0计算机监控系统技术特点概要

为了满足三峡右岸电站的应用需要,在H9000 V3.0计算机监控系统的基础上研制开发了H9000 V4.0系统,改进和完善了原系统已有功能,开发了新功能,进一步提高了系统的性能指标和可靠性指标。文中主要介绍H9000 V4.0系统的设计原则,以及数据采集、人机联系、报表定制、Web信息发布、历史数据管理等主要新功能。     

大宁调蓄水库防渗工程应用效果监测及评价

基于大宁调蓄水库库区监测数据,分析库外地下水位与库水位之间的相关性,总结地下水位变化规律,同时采用水量平衡法对库区渗漏量进行定量计算,进而对防渗工程的应用效果进行评价.结果表明,防渗措施起到了阻隔库水外渗的作用,与无防渗工程时相比,库区渗漏量显著减少.     

MapReduce Workload Modeling with Statistical Approach

Large-scale data-intensive cloud computing with the MapReduce framework is becoming pervasive for the core business of many academic, government, and industrial organizations. Hadoop, a state-of-the-art open source project, is by far the most successful realization of MapReduce framework. While MapReduce is easy- to-use, efficient and reliable for data-intensive computations, the excessive configuration parameters in Hadoop impose unexpected challenges on running various workloads with a Hadoop cluster effectively. Consequently, developers who have less experience with the Hadoop configuration system may devote a significant effort to write an application with poor performance, either because they have no idea how these configurations would influence the performance, or because they are not even aware that these configurations exist. There is a pressing need for comprehensive analysis and performance modeling to ease MapReduce application development and guide performance optimization under different Hadoop configurations. In this paper, we propose a statistical analysis approach to identify the relationships among workload characteristics, Hadoop configurations and workload performance. We apply principal component analysis and cluster analysis to 45 different metrics, which derive relationships between workload characteristics and corresponding performance under different Hadoop configurations. Regression models are also constructed that attempt to predict the performance of various workloads under different Hadoop configurations. Several non-intuitive relationships between workload characteristics and performance are revealed through our analysis and the experimental results demonstrate that our regression models accurately predict the performance of MapReduce workloads under different Hadoop configurations.     

钙锌稳定剂的质量控制

从标准化和性能的角度对商品化的钙锌稳定剂的质量进行了分析.根据钙锌稳定剂PVC物料的热稳定性和流变性,以及PVC制品的工程使用性能和卫生性能,提出了控制PVC制品用钙锌稳定剂质量的方法.     

国产羟丙基甲基纤维素在高聚合度聚氯乙烯生产中的应用

介绍了国产羟丙基甲基纤维素替代进口羟丙基甲基纤维素在高聚合度聚氯乙烯聚合中的应用,考察了两种羟丙基甲基纤维素对高聚合度聚氯乙烯树脂各项指标的影响.结果 表明,国产羟丙基甲基纤维素替代进口羟丙基甲基纤维素是可行的.     

二硼化锆基超高温陶瓷的制备及性能

用碳化硅(SiC)颗粒增韧二硼化锆(ZrB2)陶瓷,在氩气流中热压烧结温度为1 950℃、保温1 h,20 MPa压力下成功制备出了致密的ZrB2/SiCp复合材料.ZrB2/SiCp复合材料的致密度随着SiC颗粒添加量的增加而增加.当SiC颗粒的体积分数(下同)为15%时,相对致密度达到100%.ZrB2/SiCp复合材料的抗弯强度和断裂韧性都随着SiC添加量的增加成上升趋势,当SiC颗粒的添加量在15%时同时达得最大值,分别为646 MPa和8.52 MPam·m1/2.SiCp的添加还提高了ZrB2/SiCp复合材料的耐氧化烧蚀性能.     

Recent climate variability and its impact on precipitation,temperature, and vegetation dynamics in the Lancang River headwater area of China

The alpine ecosystem is one of the most fragile ecosystems threatened by global climate change. The impact of climate variability on the vegetation dynamics of alpine ecosystems has become important in global change studies. In this study, spatially explicit gridded data, including the Moderate Resolution Imaging Spectroradiometer (MODIS) land-surface temperature (LST) product (MOD11A1/A2), the Tropical Rainfall Measuring Mission (TRMM) rainfall product (3B43), and MODIS net primary productivity (NPP) product (MOD17A3), together with meteorological observation data, were used to explore the spatio-temporal pattern of climate variability and its impact on vegetation dynamics from 2000 to 2012 in the Lancang River headwater area. We found that the variation patterns of LST, precipitation, and NPP in the study area showed remarkable spatial differences. From the northwest to the southeast the spatial variation of average annual LST exhibited a decreasing–increasing–decreasing–increasing pattern. At the same time, most of the study area exhibited an increasing LST during the growing season. The annual precipitation increased in the semi-arid northern part, whereas it decreased in the semi-humid southern part. The precipitation variability during the growing season has a pattern similar to the annual precipitation variability. Although the majority of the regions have seen an NPP increase from 2000 to 2012, the responses of the vegetation to the varied climate factors were spatially heterogeneous. The alpine–subalpine meadows in the high-altitude areas were more sensitive to climate variability in the growing season. It is argued that satellite remote-sensing products have great potential in investigating the impact of climate variability on vegetation dynamics at the finer scale, especially for the Lancang River headwater area with complex surface heterogeneity.     

化学镀法制备SiC/Cu金属陶瓷复合粉体工艺的研究

为改善SiC与其他金属的结合性能，采用化学镀法在SiC粉体上镀Cu，制备包覆型陶瓷颗粒。通过精选、粗化、敏化、活化表面镀前处理，用硫酸铜镀液成功地得到在SiC上均匀镀Cu的包覆粉体，利用Olympus显微镜观察到包覆程度可达95％，通过详细讨论镀液的配方、pH值、镀液与SiC粉体的配比与对包覆效果的影响，最终得到硫酸铜用量控制在10—15g／l能得到我们所控制的沉积反应速度；包覆反应过程中pH值控制在11—13之间较为合适。