“知音”中的同情体验与孤独体验——《文心雕龙》鉴赏批评论的美学生命探微

刘勰倾注其毕生的追求与思索而创作的体大思精的《文心雕龙》正是其美学生命与心理体验的显现。刘勰将其在独特的人生旅途中获得的心理体验贯穿于《文心雕龙》的文道论、创作论、鉴赏批评论和文体论之中,其中,"割情析采"中的鉴赏批评论蕴含了刘勰的"觇文见心"的同情体验、"贵古贱今"的孤独体验以及这两种体验的实践与超越,这些共同构成了其丰富深刻又灵动精妙的心理体验与美学生命。     

方斑东风螺两种养殖模式的比较

在室内水泥池，利用沙层自净养殖模式和直接铺沙养殖模式对不同规格的方斑东风螺（Babylonia areolata Link）进行了高密度养殖的研究。结果表明，沙层自净养殖模式养殖小螺、中螺、大螺组日均增重分别为0．031、0．088、0．098g／d，沙层NH4^＋-N最高含量ω分别为1．3、2．1、3．1mg,／L,H2S最高含量ω分别为0．03、0．07、0．14mg／L．各规格组东风螺保持正常生长和活动，成活率92．9％以上；直接铺沙养殖模式养殖小螺、中螺、大螺日均增重分别为：0．023、0．051、0．068g／d．成活率分别为95．2％、86．7％、84．9％，沙层NH4^＋-N最高含量ω达到13．7mg／L，H2S最高含量ω达到0．47mg／L，沙层底质恶化，东风螺活动异常、不摄食。可见，沙层自净养殖模式对方斑东风螺的生长、成活率、沙层水质控制效果显著，在一定程度上克服了直接铺沙养殖底质恶化问题。     

不等边基四边形的等距曲线设计

根据等距曲线的成形原理和几何特性,讨论了在有条件下的不等边基四边形等距曲线设计以及基四边形边长和形状的变化对等距曲线的影响,阐述了等距曲线的图形设计原则、轮廓曲线作图方法并加以证明,从而确定了不等边基四边形的设计作图范围和应用特性,扩展了机械传动机构型面联接中的等距曲线设计途径和方法。     

加强生态环境保护 促进湛江珍珠养殖业持续发展

为促进湛江珍珠养殖业的持续发展,各级政府和海域管理部门应认真贯彻执行国家有关海域管理的法律法规,加强海域环境保护的宣传教育工作,提高养殖者的环境保护意识。珍珠养殖者要创新养殖方式,拓展新的养殖空间,尊重自然规律,自觉保护海洋生态环境,以解决湛江珍珠养殖业存在的养殖海域无证使用、无度开发、生态功能丧失等问题。     

黔北镇远地区三丘田剖面寒武系明心寺组上段滨岸相沉积特征及其地质意义

沉积环境分析是古地理重建的核心内容,黔北地区寒武系明心寺组沉积环境研究存在较大争议,以致对中上扬子地区明心寺组沉积期古地理格局的认识不能统一。选取寒武系明心寺组发育齐全、出露良好的黔北镇远地区三丘田剖面为研究对象,通过野外剖面观察、室内薄片鉴定及碎屑岩粒度分析等方法对三丘田剖面明心寺组岩石学特征、沉积构造、沉积演化序列、沉积相类型进行了详细分析。结果表明:黔北镇远地区三丘田剖面寒武系明心寺组上段发育大套的石英粉-细砂岩,沉积构造以低角度冲洗交错层理为主,碎屑颗粒的成分和结构成熟度均较高;三丘田剖面明心寺组上段砂岩以双次跳跃组分为主,悬浮组分含量较少,纵向剖面自下而上显示为浅水陆棚→临滨→前滨→后滨演化序列,呈典型的陆棚相向滨岸相变化。综上所述,黔北镇远地区三丘田剖面寒武系明心寺组上段的沉积相为滨岸相。黔北镇远地区明心寺组滨岸相沉积的出现,指示了黔北地区区域上重新认识明心寺组沉积相的必要性,将直接影响对黔北地区乃至中上扬子地区寒武纪古地理格局及其大地构造背景的认识。     

桥梁水平位移混沌特征识别与神经网络预测研究

跨海大桥系统受外界影响扰动,其变形伴有混沌现象发生.对桥梁变形监测数据实现了混沌识别,运用C-C法计算时间序列的延迟时间,用G-P方法求得最佳嵌入维数,通过求取的时间延迟和最佳嵌入维数对桥梁变形监测数据进行相空间重构,为混沌时间序列预测模型的建立奠定基础;基于RBF神经网络建立混沌时间序列预测模型,对实测数据进行桥梁变...     

Subsurface target recognition in Utopia Planitia of Mars by Tianwen-1 FP-SPR simulation

As a cold and dry planet, Mars contains water resources in the form of water ice, so that the electromagnetic waves can be transmitted to the deep underground to get the information of the topography and subsurface geological structure. Subsurface penetrating radar(SPR) can be widely used in deep space exploration for a long time because of its non-destructive detection mode and its working characteristics not limited by visible light. It is an important type of equipment for detecting the subsurface structure of planets. Orbiter radar is mainly used in Mars exploration. However, because of its low resolution, it is difficult to describe the near surface structure, so there is a lack of radar data which can reflect the shallow information. In this paper, a three-dimensional near surface model of Utopia Planitia on Mars is established. In order to make the simulation results more reasonable, the key factors such as topographic relief, subsurface rocks and water ice, and the variation of dielectric constant in different layers are taken into account. Then the full polarization forward modeling is carried out by using the three-dimensional finite-difference time-domain method. The acquired full polarimetric subsurface penetrating radar(FP-SPR) data with noise is preprocessed and further processed by Pauli decomposition. The underground reflection can be picked up more clearly from the Pauli decomposition results. This work is helpful to identify more details of subsurface structures and provides a reference for the measured data in the future.     

Comparison of different sampling strategies for debris flow susceptibility mapping: A case study using the centroids of the scarp area,flowing area and accumulation area of debris flow watersheds

The quality of debris flow susceptibility mapping varies with sampling strategies. This paper aims at comparing three sampling strategies and determining the optimal one to sample the debris flow watersheds. The three sampling strategies studied were the centroid of the scarp area(COSA), the centroid of the flowing area(COFA), and the centroid of the accumulation area(COAA) of debris flow watersheds. An inventory consisting of 150 debris flow watersheds and 12 conditioning factors were prepared for research. Firstly, the information gain ratio(IGR) method was used to analyze the predictive ability of the conditioning factors. Subsequently, 12 conditioning factors were involved in the modeling of artificial neural network(ANN), random forest(RF) and support vector machine(SVM). Then, the receiver operating characteristic curves(ROC) and the area under curves(AUC) were used to evaluate the model performance. Finally, a scoring system was used to score the quality of the debris flow susceptibility maps. Samples obtained from the accumulation area have the strongest predictive ability and can make the models achieve the best performance. The AUC values corresponding to the best model performance on the validation dataset were 0.861, 0.804 and 0.856 for SVM, ANN and RF respectively. The sampling strategy of the centroid of the scarp area is optimal with the highest quality of debris flow susceptibility maps having scores of 373470, 393241 and 362485 for SVM, ANN and RF respectively.     

Baseflow Separation and Its Response to Meteorological Drought in a Temperate Water-limited Basin,North China

Baseflow, a component of the total streamflow, plays a key role in maintaining aquatic habitats, particularly during extreme drought events. This study investigated baseflow response to a prolonged and extreme meteorological drought event in the Baiyangdian Basin(BYD basin), a temperate water-limited basin in North China. Applying a precipitation series, piecewise regression was used to determine this extreme meteorological drought event, while the Automatic Baseflow Identification Technique(ABI...     

金相分析中消除划痕的两种方法

介绍了两种在金相分析中采用模式识别技术,以距离聚类和角度类消除划痕的方法,使主体更加突出,分类评级更加准确,也降低了对试样的磨制要求。