实物期权视角下高校科研项目价值模型研究

根据高校科研项目实施过程中存在风险,进而导致项目在不同时期其状态价值有所不同,结合期权理论特质,利用等价测度鞅变换及鞅的方法,结合广义维纳过程的It引理,得到了高校科研项目过程管理的价值评估公式。     

基于事故树分析的我国某铀矿山土壤重金属污染评价

在运用事故树对我国某铀矿山土壤重金属污染的来源进行定性分析的基础之上,采用地累积指数法和潜在生态风险评价方法对矿山周边土壤中U、Cd、Cr、Cu、Mn、Ni、Pb、Zn八种重金属进行定量评价.结果表明,各种金属对土壤的污染程度随着离铀矿山距离的增加而呈现减弱的趋势,整个区域的重金属污染处于极强的水平.地累积指数法的评价结果为:元素Cd为极重污染,元素U为重污染至极重污染,其次为Cr,Pb,Zn,Mn,Cu,元素Ni为无污染;潜在生态风险指数法的评价结果为:元素Cd为极强污染,其次为Cr,Pb,Zn,Mn,Cu,Ni,均为轻微污染.     

溶解性有机质-四环素-Zn共存体系中土壤对四环素和Zn的吸附作用

以畜禽粪便中的典型组分——溶解性有机质、四环素和锌作为研究对象,以东北典型黑土为供试土壤,采用批次实验法,研究了溶解性有机质、四环素和锌三元混合体系中土壤对四环素和锌的吸附作用。结果表明,土壤对四环素的吸附符合Freundlich吸附模型,土壤对Zn的吸附既符合Langmuir吸附模型,也符合Freundlich吸附模型;四环素和锌之间存在着相互促进吸附的作用;溶解性有机质抑制了四环素在土壤上的吸附,促进了Zn在土壤上的吸附;在溶解性有机质-四环素-Zn混合体系中,四环素和溶解性有机质共存促进了Zn的吸附;而对于四环素的吸附,溶解性有机质和Zn的共存可以表现为促进作用,也可以表现为抑制作用,二者的相对浓度是决定其作用的关键因素。     

纳米Fe3O4覆盖对沉积物-水界面钴和镍的吸附试验研究

为揭示纳米材料原位覆盖对表层沉积物重金属的影响规律,开展室内培养原位沉积物柱试验,利用微界面分析技术、高分辨率平衡式间隙水采集技术（HR-Peeper）和薄膜扩散梯度技术（DGT）,探究纳米Fe₃O₄原位覆盖对表层沉积物中Co、Ni释放的影响机制。试验结果表明:在纳米Fe₃O₄覆盖下沉积物pH值较对照组逐渐增大,Eh值先减小后增大;纳米Fe₃O₄覆盖可有效吸附间隙水中的溶解态Co和Ni,间隙水中的溶解态Co和Ni最大有效吸附率分别为27.07%及26.42%,有效影响深度分别为30 mm和10 mm;纳米Fe₃O₄覆盖有效抑制了沉积物中有效态Co和Ni向间隙水和上覆水扩散,沉积物中有效态Co和Ni含量分别降低了50.26%和15.31%。     

Multi-label dimensionality reduction and classification with extreme learning machines

In the need of some real applications, such as text categorization and image classification, the multi-label learning gradually becomes a hot research point in recent years. Much attention has been paid to the research of multi-label classification algorithms. Considering the fact that the high dimensionality of the multi-label datasets may cause the curse of dimensionality and wil hamper the classification process, a dimensionality reduction algorithm, named multi-label kernel discriminant analysis （MLKDA）, is proposed to reduce the dimensionality of multi-label datasets. MLKDA, with the kernel trick, processes the multi-label integrally and realizes the nonlinear dimensionality reduction with the idea similar with linear discriminant analysis （LDA）. In the classification process of multi-label data, the extreme learning machine （ELM） is an efficient algorithm in the premise of good accuracy. MLKDA, combined with ELM, shows a good performance in multi-label learning experiments with several datasets. The experiments on both static data and data stream show that MLKDA outperforms multi-label dimensionality reduction via dependence maximization （MDDM） and multi-label linear discriminant analysis （MLDA） in cases of balanced datasets and stronger correlation between tags, and ELM is also a good choice for multi-label classification.     

半乳甘露聚糖种子胶的研究进展

从半乳甘露聚糖种子胶的资源及分布、生物学功能，半乳甘露聚糖的合成代谢、积聚与转化，半乳甘露聚糖的精细结构及与性质的关系、胶的开发利用等方面对种子胶的研究进展进行了综述，为半乳甘露聚糖种子胶的进一步研究和开发利用提供了参考．     

喹啉端基硫醚化合物的合成及其与Cu(Ⅱ)的作用

在润滑油的多效添加剂系列中，有机含硫化合物以其特有的性能得到广泛应用［１］．随着对此类添加剂研究的进一步开发，对含Ｎ杂环的苯酚硫醚化合物发生兴趣［２］，以期改善添加剂的抗氧化和抗腐蚀等性能．本文合成了４个带喹啉配位端基的硫醚化合物（Ｌ１，Ｌ２，Ｌ３，...     

MPX压力传感器在气柜保护中的开关应用

介绍了固态压力传感器MPX系列中的压力开关敏感元件的特性,并给出了由MPX压力传感器组成的开关应用电路.该电路的设计充分利用了MPX压力传感器的开关应用功能.使用较少和常用的元、器件,设计出了能满足工程应用的实用电路.化工生产中常用气柜来作为各种气体的存贮和缓冲设备.但气柜常有被抽瘪的情况发生.将该套由MPX压力传感器组成的压力开关装置应用到气柜的运行保护中,可有效地防止气柜被抽瘪的事故发生.     

Analysis of the global T_m–T_s correlation and establishment of the latitude-related linear model

In this study,the correlation between Tm,a key variable in GNSS water vapor inversion,and surface temperature(Ts)was calculated on a global scale based on the global geodetic observing system(GGOS)atmosphere Tmdata and European centre for medium-range weather forecasts(ECMWF)surface temperature data.The results show that their correlation is mainly affected by latitudes,and the correlation is stronger at high latitudes and weaker at low latitudes.Although the correlation is relatively weak in the tropic areas,the temperature changes so little in a year in these areas that we can still achieve good Tmresults by linear regression model.Based on these facts,‘‘GGOS atmosphere’’Tmdata and ECMWF Tsdata from 2005 to2011 were used to establish the global latitude-related linear regression model.The new model has root mean square error(RMSE)of 3.2,3.3,and 4.4 K,respectively,compared with respect to the‘‘GGOS atmosphere’’data,COSMIC data,and radiosonde data and is more accurate than the Bevis Tm–Tsrelationship.     

A new implementation of image-processing engine for 3D visualization and stereo video stream display

This paper presents a new implementation of a high-definition image-processing engine,which mainly targets the 3-dimensional(3D)visualization and stereo video stream display of binocular display equipment.The engine is compatible with the mainstream analog and digital stereo videos in component format and is able to receive stereo composite video broadcast signals using an integrated analog stereo video decoder.The four modules include a spatiotemporal scaling transform engine,a 2D–3D converter,an image animating engine,and a 2D scalar operating in pipeline architecture to implement the video format conversion and the stereo effect enhancement.Furthermore,the data access,hardware structure,and system-level configurations are optimized.Finally,the proposed architecture is realized by 0.18 lm CMOS technology.The application-specific integrated circuit verification results show that the engine can generate a strong feeling of 3D immersion and highdefinition image quality with minimal flicker.The chip has wide compatibility and an uppermost 1080P-processing capacity,which has approximately 3.5 million gates with about 43 mm2 die size.