电磁波方程球坐标解的一种简单推导

应用矢量分析将电磁场矢量E或B用标量函数ψ中表示,将电磁场的矢量波动方程化为标量函数ψ的波动方程,在球坐标系中求解将大为简化。     

A new model for analyzing laminar forced convective enhanced heat transfer in latent functionally thermal fluid

In this paper, a new model to analyze laminar forced convective enhanced heat transfer in latent functionally thermal fluid is developed. The main characteristics of the model are- i) a new formula of the specific heat at constant pressure is used; ii ) a real heat transfer process is considered; that is, heat transfer processes occur not only between working fluid and microcapsules, but also between the mixture and tube wall; iii) the new method, which combines the newly developed axisymmetrical dual reciprocity boundary element method (DRBEM) with finite difference method (FDM), is used to solve the control equations of this problem. The new model is validated by experimental data. Some new physical results on the variational characteristics of the specific heat at constant pressure with space and time during phase-change process, the time-marching history of the phase-change interfaces and so on are obtained. Several main physical factors that affect enhanced heat transfer in latent functionally thermal fluid are numerically analyzed. Some new understandings for the mechanism of enhanced heat transfer in the functionally fluid are obtained.     

Evaluation of gas chromatography-mass spectrometry in conjunction with chemometric resolution for identification of nitrogen compounds in crude oil

A chemometric resolution method is described for the identification of nitrogen compounds in crude oil. Prefractionation of crude oil into discrete chemical classes was performed by adsorption column chromatography using small quantities of neutral aluminum oxide and silicic acid. Subsequent high-resolution separation of individual components was achieved by using capillary column gas chromatography, and compound types were detected by mass spectrometer. In conjunction with a combined chemometric method, each principal chemical class was further resolved and separated, which made it possible to identify some nitrogen compounds in the investigated oils. To a certain extent, this method could relieve classical analysis of difficulty in identifying those species with poorly low contents or partially chromatographic overlaps, particularly in the cases where authentic standards were not available for addition into the unknown analytical systems to reveal what indeed existed in them.     

Boosted leave-many-out cross-validation: the effect of training and test set diversity on PLS statistics

It is becoming increasingly common in quantitative structure/activity relationship (QSAR) analyses to use external test sets to evaluate the likely stability and predictivity of the models obtained. In some cases, such as those involving variable selection, an internal test set – i.e., a cross-validation set – is also used. Care is sometimes taken to ensure that the subsets used exhibit response and/or property distributions similar to those of the data set as a whole, but more often the individual observations are simply assigned `at random.' In the special case of MLR without variable selection, it can be analytically demonstrated that this strategy is inferior to others. Most particularly, D-optimal design performs better if the form of the regression equation is known and the variables involved are well behaved. This report introduces an alternative, non-parametric approach termed `boosted leave-many-out' (boosted LMO) cross-validation. In this method, relatively small training sets are chosen by applying optimizable k-dissimilarity selection (OptiSim) using a small subsample size (k = 4, in this case), with the unselected observations being reserved as a test set for the corresponding reduced model. Predictive errors for the full model are then estimated by aggregating results over several such analyses. The countervailing effects of training and test set size, diversity, and representativeness on PLS model statistics are described for CoMFA analysis of a large data set of COX2 inhibitors.     

陈最良与劳伦斯神父的叙事意义与比较

陈最良与劳伦斯神父各自在<牡丹亭>和<罗密欧与朱丽叶>中扮演着叙事符号的角色,他们表现出来的是显在叙事特征,但由于中国古典戏剧与西方古典戏剧的不同美学基础,他们又表现出不同的叙事意义.据此可以认为,显在叙事与潜在叙事的区别,是由不同的美学基础决定的.     

黄河灌区水热通量的观测与分析

为解决农田节水问题,进行了田间水热通量观测和水热耦合循环过程机理分析。观测系统主要包括:常规气象、辐射、涡度相关法观测系统以及土壤水分观测剖面。该系统能够连续和稳定地观测土壤-植物-大气连续体中的水热循环过程,涡度相关法观测数据具有与国际同类观测一致的精度。对2005年山东省位山引黄灌区冬小麦和夏玉米生长期内水热平衡的分析表明:当叶面积指数较大时潜热是农田能量消耗的主要方式;在冬小麦返青至收割期内作物耗水略小于供水,而在玉米生长期内供水远大于作物耗水,灌区供水充分。     

政治视角制约下文学书写的意义与限度——从陆地《美丽的南方》说开去

以壮族作家陆地的小说《美丽的南方》为批评对象。通过对作品中规范写作与潜在写作内在矛盾的分析,指出其站在民间立场上对乡村文化的生动书写和对人性合理欲望的肯定,在当代少数民族文学史上具有不可忽视的重要意义,并对这一意义可能达到的限度作出合理阐述。     

The Determination of Latent Heats of Vaporization Under Quasi-Isothermal Conditions

A method was devised to evaluate latent heats of vaporization from quasi-isothermal isobaric analysis data. The procedure requires the recording of at least two diagrams: one for the investigated liquid, and the other for a standard liquid with a known latent heat of vaporization. Use of the method to determine the heats of vaporization of some alcohols, with water as standard liquid, led to results close to those previously reported in the literature. The main advantage of the procedure consists in the fact that it requires only small amounts of sample (5–10 mg). This revised version was published online in August 2006 with corrections to the Cover Date.     

Application of Fourier transform infrared spectroscopy and orthogonal projections to latent structures/partial least squares regression for estimation of procyanidins average degree of polymerisation

Fourier transform infrared (FTIR) spectroscopy has being emphasised as a widespread technique in the quick assess of food components. In this work, procyanidins were extracted with methanol and acetone/water from the seeds of white and red grape varieties. A fractionation by graded methanol/chloroform precipitations allowed to obtain 26 samples that were characterised using thiolysis as pre-treatment followed by HPLC-UV and MS detection. The average degree of polymerisation (DPn) of the procyanidins in the samples ranged from 2 to 11 flavan-3-ol residues. FTIR spectroscopy within the wavenumbers region of 1800-700 cm⁻¹ allowed to build a partial least squares (PLS1) regression model with 8 latent variables (LVs) for the estimation of the DPn, giving a RMSECV of 11.7%, with a R² of 0.91 and a RMSEP of 2.58. The application of orthogonal projection to latent structures (O-PLS1) clarifies the interpretation of the regression model vectors. Moreover, the O-PLS procedure has removed 88% of non-correlated variations with the DPn, allowing to relate the increase of the absorbance peaks at 1203 and 1099 cm⁻¹ with the increase of the DPn due to the higher proportion of substitutions in the aromatic ring of the polymerised procyanidin molecules.