Characterization and thermal behavior of kaolin

The effect of nitric oxide (NO) on heat production and oxygen consumption was studied in excised roots of 5-day-old wheat seedlings grown in CaCl₂ solution (2.5 × 10⁻⁴ mol/L). Sodium nitroprusside (SNP), NaNO₃, NaNO₂ were used as NO donors. Incubation of the cut roots (wound stress) in the presence of NO donors led to the decrease of heat production and suppressed oxygen consumption. The increase of potassium (K⁺) ions exit was observed, pointing to the increase of the plasma membrane permeability and to the disruption of the adaptive processes development in roots in the NaNO₂ presence.     

Epitope prediction based on random peptide library screening: benchmark dataset and prediction tools evaluation

Epitope prediction based on random peptide library screening has become a focus as a promising method in immunoinformatics research. Some novel software and web-based servers have been proposed in recent years and have succeeded in given test cases. However, since the number of available mimotopes with the relevant structure of template-target complex is limited, a systematic evaluation of these methods is still absent. In this study, a new benchmark dataset was defined. Using this benchmark dataset and a representative dataset, five examples of the most popular epitope prediction software products which are based on random peptide library screening have been evaluated. Using the benchmark dataset, in no method did performance exceed a 0.42 precision and 0.37 sensitivity, and the MCC scores suggest that the epitope prediction results of these software programs are greater than random prediction about 0.09-0.13; while using the representative dataset, most of the values of these performance measures are slightly improved, but the overall performance is still not satisfactory. Many test cases in the benchmark dataset cannot be applied to these pieces of software due to software limitations. Moreover chances are that these software products are overfitted to the small dataset and will fail in other cases. Therefore finding the correlation between mimotopes and genuine epitope residues is still far from resolved and much larger dataset for mimotope-based epitope prediction is desirable.     

ON ASYMPTOTIC CRITERIA FOR A SECOND ORDER ELLIPTIC DIFFERENTIAL EQUATIONS

In this paper, we present some new asymptotic results for a second order elliptic differential equations by using integral averaging and completing square technique.     

基于粗糙集理论的胸部X线数字图象增强方法的研究

采用一种基于粗糙集理论实现胸部X线数字图象增强的新方法,该方法根据粗糙集的条件属性,将一幅采用双能量算法获得的肺部软组织X线数字图象划分为不同的子图象,然后对各个子图象分别作衬比增强从结果中可看出,采用种方法处理后得到的图象效果较为理想,能给临床上的医学工作者提供清晰的图象,同时也为后续的计算机辅助诊断提供有效的依据.     

Cun、Agn和Aun(n≤9)团簇的静电极化率

采用B3LYP密度泛函的方法计算了Cun，Agn和Aun(n≤9)团簇的静电极化率和极化率的各向异性，并与Na原子团簇进行比较，结果表明，Cun和Agn团簇的极化率与团簇大小的关系与Na原子团簇类似，而Aun团簇的极化率有所不同；Au原子的极化率较小，而从Au2至Au7，Aun团簇极化率变化趋势与Cun和Agn团簇相似。重金属元素团簇的极化率小于Na原子团簇的极化率，具有更加紧致结构。     

人工神经网络光度法用于化探样品中金的形态分析

利用人工神经网络对化探样品中金的三种存在形态（水提取态、吸附态、有机态）的含量同时进行了预测，计算结果与传统浸了方法的结果相吻合，相对误差一般小于10％，相对标准偏差在1．68％－8．94％。该法简便，快速。     

VISCOUS FORCES BETWEEN TWO SPHERES COLLIDING THROUGH INTERSTITIAL POWER-LAW FLUID

Interaction between two spheres with an interstitial fluid is essential in Discrete Element modeling for simulating the behaviors of ‘wet‘ particulate materials. In this paper the interaction between two spheres with an interstitial Power-law fluid was approximately resolved as normal and tangential interactive models respectively, for which the governing equations were simplified on the basis of Reynolds approximation. These equations were then solved analytically together with the boundary conditions to obtain the pressure distributions for each individual model, and event ually solutions of the viscous squeeze force and the tangential viscous resistance were obtained, which provide a set of solutions for implementing into DEM code or other purposes.     

离散点集上的向量有理插值算法与特征性质

1引言 给出R~2中离散点集