拓宽城市绿化空间的有效植物—攀援植物

介绍了城市绿化攀援植物的种类,景观特点,选用造景的基本原则,并对各种典型的绿化形式的功能和美化效果进行了详尽剖析。     

冬虫夏草感染蝙蝠蛾幼虫研究进展

随着冬虫夏草资源的日趋枯竭,冬虫夏草人工繁育研究逐渐成为菌物学家和昆虫学家研究的热点,而冬虫夏草人工繁育研究的核心内容是冬虫夏草菌感染蝙蝠蛾幼虫研究.为此,就感染幼虫的龄期、感染方法、感染过程等方面进行了综述.     

Expression of SARS-CoV functional receptor angiotensin-converting enzyme 2 in nephritic epithelium of primates

AIM: To investigate the expression of angiotensin-converting enzyme 2 (ACE2) in nephritic epithelium of primates. METHODS: The expression of ACE2 in Vero E6 cells was detected by the techniques of RT-PCR and immunocytochemistry (ICC) techniques. The distribution of ACE2 protein in kidney tissues of two Rhesus monkeys and two normal human cases was observed by immunohistochemistry (IHC) techniques. RESULTS: Vero E6 cells were found to express both ACE2 mRNA and protein. ACE2 protein was mainly located in epithelium of proximal tubules of Rhesus monkey and human kidney. CONCLUSION: The expression of ACE2 in epithelium of primate kidney may provide the condition for SARS-CoV entry, which may be one of the reasons for inducing renal damage in SARS patients.     

Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model

Soil moisture content (SMC) is a key hydrological parameter in agriculture,meteorology and climate change,and understanding of spatio-temporal distributions of SMC in farmlands is important to address the precise irrigation scheduling.However,the hybrid interaction of static and dynamic environmental parameters makes it particularly difficult to accurately and reliably model the distribution of SMC.At present,deep learning wins numerous contests in machine learning and hence deep belief network (DBN) ,a breakthrough in deep learning is trained to extract the transition functions for the simulation of the cell state changes.In this study,we used a novel macroscopic cellular automata (MCA) model by combining DBN to predict the SMC over an irrigated corn field (an area of 22 km~2) in the Zhangye oasis,Northwest China.Static and dynamic environmental variables were prepared with regard to the complex hydrological processes.The widely used neural network,multi-layer perceptron (MLP) ,was utilized for comparison to DBN.The hybrid models (MLP-MCA and DBN-MCA) were calibrated and validated on SMC data within four months,i.e.June to September 2012,which were automatically observed by a wireless sensor network (WSN) .Compared with MLP-MCA,the DBN-MCA model led to a decrease in root mean squared error (RMSE) by 18%.Thus,the differences of prediction errors increased due to the propagating errors of variables,difficulties of knowing soil properties and recording irrigation amount in practice.The sequential Gaussian simulation (s Gs) was performed to assess the uncertainty of soil moisture estimations.Calculated with a threshold of SMC for each grid cell,the local uncertainty of simulated results in the post processing suggested that the probability of SMC less than 25% will be difference in different areas at different time periods.The current results showed that the DBN-MCA model performs better than the MLP-MCA model,and the DBN-MCA model provides a powerful tool for predicting SMC in highly non-linear forms.Moreover,because modeling soil moisture by using environmental variables is gaining increasing popularity,DBN techniques could contribute a lot to enhancing the calibration of MCA-based SMC estimations and hence provide an alternative approach for SMC monitoring in irrigation systems on the basis of canals.     

4种红木尺寸稳定性的研究

采用以DPG为主要成分的药液对印度紫檀 （Pterocarpus indicus）、红酸枝木 （Dalbergia oliveri）、鸡翅木（Cassia siamea）和花梨木（Pterocarpus macarocarpus）4种 红木进行了处理,分析 了不同浓度的药液对处理材ASE和MEE的影响。结果表明, 经过药液处理后试件的ASE和 MEE随 DPG比例的增加而增大,木材尺寸稳定性明显改善,药液中DPG所占比例一般控制在 20%～50%之间,综合效果较好。     

牛磺酸对大鼠血压及血管活性物质的影响

通过检测补充不同水平牛磺酸和β-丙氨酸(牛磺酸转运抑制剂)大鼠的血压和血液中血浆肾素活性(PRA)、肾上腺髓质素(ADM)、血清肿瘤坏死因子(TNF-β)、胰岛素样生长因子-I(IGF-I)的含量,探讨牛磺酸对高血压发生的预防作用.试验结果表明,补充牛磺酸可使血液中TNF-α的含量和PRA活性分别降低了23.4%(p<0.05)和30.8%(p<0.05),不同程度地降低了血中ADM、IGF-I的含量.但差异不显著(p0.05).