《梅山续稿》中食(药)用菌意象解读

南宋诗人姜特立所著的《梅山续稿》是一本内容丰富的诗文集。与大多数诗人不同的是姜特立在诗中塑造了独特的食(药)用菌意象。"意象"塑造是中国古典诗歌独特的审美追求。通过对诗中"意象"的解读,可以准确把握诗人创作倾向,思想所指和情感蕴含。选择《香菌诗》、《子陵瀬》、《人送岩桂之二》、《感物》4首具有代表性的诗歌进行研究和分析,对诗中食(药)用菌意象进行解读。探讨诗中的意象内蕴,挖掘诗歌的深刻内涵,以丰富我车优秀的诗歌文化。     

盐阳离子类型对红壤裂缝开闭规律的影响

为了探究灌溉水中盐离子浓度及类型对土壤裂缝变化过程的影响,为南方灌溉用水安全提供数据理论支持,采用蒸馏水配置15,10,5和2.5 g/L等4个质量浓度梯度的NaCl,KCl,CaCl₂和MgCl₂等4种类型溶液,分别浸泡南方亚热带地区的典型红壤,并且采用恒温蒸发模拟干燥过程和喷湿法模拟增湿过程,结合数字图像技术提取土壤表层开裂闭合过程中裂缝主要几何参数,分析盐阳离子类型对红壤裂缝发育过程特征的影响.结果表明:红壤干燥过程中,裂缝在土壤质量含水率由30%降至10%时增长最快;在质量含水率低于10%后达到最大值并保持稳定不变.红壤的裂缝面积密度与4种盐阳离子浓度呈极显著正相关关系,裂缝长度密度与K⁺及Mg²⁺呈极显著负相关,与Ca²⁺呈显著负相关关系.4种盐阳离子对红壤开裂面积促进程度深浅顺序为Na⁺,K⁺,Ca²⁺,Mg²⁺;4种不同离子浓度的处理中,NaCl质量浓度为10 g/L,而KCl,CaCl₂和MgCl₂质量浓度为15 g/L的溶液对红壤开裂促进效果最好,其裂缝面积相比于蒸馏水处理分别增大了155.0%,160.1%,109.4%和39.2%.红壤的开裂含水率低于闭合含水率,4种盐阳离子浸泡后会使红壤的开裂含水率和闭合含水率均升高.     

Effect of mulch on initial coverage of four groundcover species for low input landscaping in a Mediterranean climate

Groundcovers play a very important role in the creation of urban green spaces. They provide many agronomic and environmental benefits while simplifying the urban landscape management.In the areas with a Mediterranean-type climate, the development of low-input landscapes, with the ability to maintain their functions and aesthetical appeal, is pivotal. The aim of this study was to identify groundcover species that could be suited to the local environmental conditions and to evaluate the effect of different mulching systems on plant growth and weed suppression.Digital image analysis was used to measure the green cover percentage of four species (Hedera helix L., Hypericum calycinum L., Rosmarinus officinalis L., Vinca minor L.) grown on two different types of mulch (EcoCover^® and wood-chips) and on bare soil. Changes in plant coverage, NDVI (Normalized Difference Vegetation Index) and weed biomass were recorded over a two year period.The prostrate R. officinalis established rapidly and reached more than 80% of coverage within 3 months after planting. Also, it was not affected by weed competition. Non-native H. calycinum also exhibited a quick spread, but it was unsuitable for low-input Mediterranean landscapes because it died during late summer from fungal disease. H. helix and V. minor were also adversely affected by pathogens and, due to their slow initial growth and low percent cover in the second year, they did not control weeds during the study. With the exception of R. officinalis, mulching materials did not significantly improve the establishment and cover ability of the tested species, but had significant effects on weed suppression. Digital image analysis and spectral reflectance proved to be reliable and objective techniques to assess groundcover performance.     

中国制造业劳动力成本上升的正负效应分析

作为物质“形象”的第一层面被人们所感知的“物象”是不依赖于人之意识的客观存在。基于对传统村落人文物象的实证研究，认为其能够体现系统的传统造物文化思想，将其概括为“规则、参照、功能与技术、核心”四个层面，并从中揭示了“天、地、人、物”之间的关系，进一步阐释了造物文化思想对传统村落人文物象具有的现代启示。     

K步稳定的鞋印花纹图像自动聚类

目的 鞋印是刑事侦查的重要物证之一,如何对积累的大量鞋印花纹图像进行自动归类管理是刑事技术迫切需要解决的问题之一。与其他类图像不同,鞋印花纹图像具有种类多但数目未知、同类花纹分布不均匀且同类花纹数目少的特点。基于鞋印花纹图像的这些特点,用目前典型的聚类算法对鞋印花纹图像集进行聚类,并不能取得很好的效果。在对鞋印花纹图像进行分析的基础上,提出一种K步稳定的鞋印花纹图像自动聚类算法。方法 对已标记的鞋印花纹图像进行统计发现,各类鞋印花纹之间在特征空间上存在互不相交的区域(本文称为隔离带)。算法的核心思想是寻找各类鞋印花纹之间的隔离带,来将各类分开。过程为:以单调递增或递减的方式调整特征空间中判定两点为一类的阈值,得到数据集的多次划分;若在连续K次划分的过程中,某一类的成员不发生变化,则说明这K次调整是在隔离带中进行的,即聚出一类,并从数据集中删除已标记的数据;选择下一个阈值对剩余的数据集进行划分,输出K步不变的类;依此类推,直到剩余数据集为空,聚类完成。结果 在两类公开测试数据集和实际鞋印花纹数据集上进行实验,本文算法的主要性能指标都超过典型算法,其中在包含5792枚实际鞋印花纹数据集上的聚类准确率和F-Measure值分别达到了99.68%和95.99%。结论 针对鞋印花纹图像特点,提出了一种通过寻找各类之间的隔离带进行自动聚类的算法,并在实际应用中取得了很好的效果。且算法性能受参数的变化以及类的形状影响较小。本文算法同样适用于具有类似特点的其他数据集的自动聚类。     

东京野茉莉花色成分的初步研究

对东京野茉莉花色成分进行了初步的探究。结果表明:通过特征颜色反应和光谱扫描说明了其花瓣细胞内有异黄酮、儿茶精类,还有叶绿素a、b,可能含有胡萝卜素、黄酮类化合物,以及无色花色素,可能不含查耳酮或橙酮。     

《唐物语》对朱买臣故事的摄取与创新

《唐物语》第十九段对《汉书·朱买臣传》中朱买臣故事进行改编，因受众群体、文化差异、民族向性的不同，在改编过程中必然产生对母国文化信息的过滤与人物形象变异。以朱买臣故事东渐日本为线索，运用比较文学流传学与变异学，探究该文学作品对朱买臣故事的摄取与创新、朱买臣故事日本化的实现条件等，以期增进文学文化交流中的互读互解，避免因文学流变中信息过滤增删、形象失落变形而产生的民族心理与意识形态的误读。     

基于卷积神经网络马铃薯叶片病害识别和病斑检测*

针对自然环境下马铃薯叶片病害识别率低和晚疫病斑定位难的问题,基于大田环境中采集的马铃薯叶片图像,首先对马铃薯叶片病害进行识别,对比AlexNet、VGG16、InceptionV3、ResNet50、MobileNet五种神经网络模型,结果表明InceptionV3模型的识别效果准确率最高,可达98.00%。其次对马铃薯叶片的晚疫病斑进行检测,提出一种改进型的CenterNet-SPP模型,该模型通过特征提取网络获取对象的中心点,再通过中心点回归获得中心点偏移量、目标大小等图像信息,训练后的模型在验证集下的mAP可达90.03%,以F₁为评价值分析对比其它目标检测模型,CenterNet-SPP模型的效果最好,准确率为94.93%,召回率为90.34%,F₁值为92.58%,平均检测一张图像耗时0.10 s。为自然环境下马铃薯叶片病害识别和检测提供较为全面的深度学习算法和模型研究基础。     

黄连及黄连须、黄连茎叶体外抗氧化活性的谱效关系研究

测定黄连与黄连须、黄连茎叶主要生物碱含量并建立高效液相(HPLC)指纹图谱,分析其抗氧化活性的谱效关系。采用HPLC分析比较黄连及黄连须、黄连茎叶中小檗碱、表小檗碱、药根碱、黄连碱、巴马汀含量差异并建立指纹图谱,通过羟自由基(·OH)、1,1-二苯基-2-三硝基苯肼(DPPH)自由基、2,2-联氮基双(3-乙基苯并噻唑啉-6-磺酸)(ABTS)自由基体外清除试验与总还原力试验评价其体外抗氧化活性差异,应用Pearson相关系数法分析HPLC指纹图谱与抗氧化活性的谱效关系。结果发现小檗碱、巴马汀含量为黄连>黄连茎叶>黄连须;药根碱、黄连碱和表小檗碱含量为黄连>黄连须>黄连茎叶;总还原力为黄连>黄连茎叶>黄连须,·OH、DPPH、ABTS·+自由基清除力为黄连茎叶>黄连>黄连须;总还原力与各峰均有较强相关性,·OH、DPPH、ABTS·+自由基清除力与4号峰相关性较强。说明黄连茎叶体外抗氧化活性较强,黄连须与黄连茎叶均有一定药用开发价值。     

Object‐Based Mapping of Karst Rocky Desertification using a Support Vector Machine

Accurate and cost‐effective mapping of karst rocky desertification (KRD) is still a challenge at the regional and national scale. Visual interpretation has been utilised in the majority of studies, while an automated method based on pixel data has been investigated repeatedly. An object‐based method coupling with support vector machine (SVM) was developed and tested using Enhanced Thematic Mapper Plus (ETM+) images from three selected counties (Liujiang, Changshun and Zhenyuan) with different karst landscapes in SW China. The method supports a strategy of defining a mapping unit. It combined ETM+ images and ancillary data including elevation, slope and Normalized Difference Vegetation Index images. A sequence of scale parameters estimation, image segmentation, training data sampling, SVM parameters tuning and object classification was performed to achieve the mapping. A quantitative and semi‐automated approach was used to estimate scale parameters for segmenting an object at an optimal scale. We calculated the sum of area‐weighted standard deviation (WS), rate of change for WS, local variance (LV) and rate of change for LV at each scale level, and the threshold of the aforementioned index that indicated the optimal segment level and merge level. The KRD classification results had overall accuracies of 85·50, 84·00 and 84·86 per cent for Liujiang, Changshun and Zhenyuan, respectively, and kappa coefficients are up to 0·8062, 0·7917 and 0·8083, respectively. This approach mapped six classes of KRD and offered a visually appealing presentation. Moreover, it proposed a conceptual and size‐variable object from the classification standard of KRD. The results demonstrate that the application of our method provides an efficient approach for the mapping of KRD. Copyright © 2012 John Wiley & Sons, Ltd.