无标度网络BA模型的物理内涵及其改进模型的比较

建立合适的网络模型有助于理解和研究网络结构和网络的动力学行为.本文考察了复杂网络的BA模型以及它的改进模型,分析比较每个模型的物理内涵及度分布,讨论了网络演化中择优机制的差异可能对其度分布特征产生重要的影响.并在各模型的基础上提出了一个新的更符合实际的改进模型,为复杂网络模型的更深一步探索提供了一个新思路.     

SDS/BA/H~2O体系的结构与电学特性

SDS/BA/H~2O体系电导率、反离子缔合度和电容测定表明：在O/W微乳液区域,电导率、反离子缔合度和电容值都较小;在恒定m(SDS)/m(H~2O)下,随着BA含量的增加,电导率、反离子缔合度和电容值先增加,达到一最大值后又逐渐下降。在双连续区域,为链式导电机理,电导率、反离子缔合度、电阻和电容值几乎不随水含量变化。根据加权最小二乘法回归,O/W球形胶束区域的电容值与各物理化学特性数值(κ,β,N,D,ε,χ)的关系为：C/μF=1.036×10^-^8(1-β)Z~sκD^-^1+0.03466ε~1x~1=0.09677ε~2x~2。     

复杂网络独立集的免疫策略分析

根据独立集的概念,提出了新的复杂网络的免疫策略,免疫一个独立集中度数最大顶点的免疫方法,称为独立集的目标免疫。当独立集中免疫节点度数和等于全网络的目标免疫节点度数和时,独立集的目标免疫策略比全网络的目标免疫更加有效,并从网络结构的角度阐明这一结果出现的原因。随后比较了独立集中的随机免疫策略与全网络的随机免疫策略,实验结果表明对独立集的随机免疫并没有去掉更多的高度数节点。对于经典的SI传播模型,所有节点都只有两种状态：易染状态和感染状态。在复杂网络免疫策略的研究中,SI传播模型与SIR、SIS传播模型相比较,使用SI传播模型对于免疫策略的研究将更加有利。     

基于BA的模糊聚类算法研究

模糊C均值聚类具有较广泛的应用,但该聚类算法本身存在容易陷入局部最优、对初始值敏感的缺点．本文提出基于蝙蝠算法与模糊c均值算法相结合的BAFCM聚类算法,并通过数值实验对比,说明BAFCM聚类效果优于FCM、PFA．     

A stability-indicating reversed-phase high performance liquid chromatography method for simultaneous assay of two corticosteroids and estimation of their related compounds in a pharmaceutical injectable formulation

Betamethasone Sodium Phosphate and Betamethasone Acetate are the two corticosteroids active pharmaceutical ingredients (APIs) that are present in the injectable formulation, Celestone Chronodose^® Injection. It is extremely challenging to develop a Quality Control friendly HPLC method to separate all the potential impurities and degradation products of the two APIs from each other using a single HPLC method. A novel stability-indicating reversed-phase HPLC (RP-HPLC) method using two oxo-cyclic organic modifiers in the mobile phase was developed and validated. This method can separate a total of 32 potential impurities and degradation products from the two APIs and also from each other. Peak symmetry and separation efficiency were enhanced by using two chaotropic agents (trifluoroacetic acid and potassium hexafluorophosphate) in the mobile phases of this method. The stability-indicating capability of this method has been demonstrated by analyzing aged and stressed degraded stability samples of the drug product. This method uses an ACE 3 C18 (15 cm × 4.6 mm) HPLC column. The method was validated per ICH guidelines and proved to be suitable for routine QC use.     

Computational model for vitamin D deficiency using hair mineral analysis

Vitamin D deficiency is prevalent in the Arabian Gulf region, especially among women. Recent studies show that the vitamin D deficiency is associated with a mineral status of a patient. Therefore, it is important to assess the mineral status of the patient to reveal the hidden mineral imbalance associated with vitamin D deficiency. A well-known test such as the red blood cells is fairly expensive, invasive, and less informative. On the other hand, a hair mineral analysis can be considered an accurate, excellent, highly informative tool to measure mineral imbalance associated with vitamin D deficiency. In this study, 118 apparently healthy Kuwaiti women were assessed for their mineral levels and vitamin D status by a hair mineral analysis (HMA). This information was used to build a computerized model that would predict vitamin D deficiency based on its association with the levels and ratios of minerals. The first phase of the proposed model introduces a novel hybrid optimization algorithm, which can be considered as an improvement of Bat Algorithm (BA) to select the most discriminative features. The improvement includes using the mutation process of Genetic Algorithm (GA) to update the positions of bats with the aim of speeding up convergence; thus, making the algorithm more feasible for wider ranges of real-world applications. Due to the imbalanced class distribution in our dataset, in the second phase, different sampling methods such as Random Under-Sampling, Random Over-Sampling, and Synthetic Minority Oversampling Technique are used to solve the problem of imbalanced datasets. In the third phase, an AdaBoost ensemble classifier is used to predicting the vitamin D deficiency. The results showed that the proposed model achieved good results to detect the deficiency in vitamin D.     

Acrylic coatings exhibiting improved hardness, solvent resistance and glossiness by using silica nano-composites

To prepare nano-composite emulsion acrylic resins with improved surface hardness and solvent resistance, nano-silica particles were treated with surfactants. The monomers of methyl methacrylate/butylacrylate were co-polymerized on the surface of dispersed silica particles. Several emulsions with different silica contents and copolymer mole fractions were prepared. Finally the emulsions were modified to water-based acrylic coatings and improved properties such as surface hardness, solvent resistance and glossiness were determined. The study of coatings was directed to find the improved resin by optimum surface properties. Size distribution and morphology of latexes were characterized by Fourier transform infrared spectroscopy, dynamic light scattering, transmission electron microscopy and scanning electron microscopy. The glass transition temperature of nano-composites was measured and discussed its relation with silica contents, monomer mole fractions and improved properties of coatings. The optimum pendulum hardness of coatings was on 0.46 methyl methacrylate mole fraction and 120 g silica content. An increase in pendulum hardness of nano-composites with the addition of modified silica was observed. DLS and TEM studies indicate that silica particles were dispersed homogenously through the polymer matrix.     

醋酸乙烯酯/丙烯酸丁酯共聚合过程及微观结构研究

以醋酸乙烯酯（VAc）和丙烯酸丁酯（BA）为原料,用半连续加料法合成共聚物。研究VAc/BA共聚合的3个阶段（种子预聚合阶段、单体滴加阶段和保温熟化阶段）所得共聚物组成和微观序列结构的变化规律,采用FT-IR、¹³C-NMR、DSC表征聚合物的结构和玻璃化转变温度（T_g）,分析聚合物共聚组成和序列结构随反应阶段的变化,采用1级Markov模型分析共聚物的序列结构分布。研究结果表明,半连续加料法制备的VAc/BA共聚物组成与序列结构在不同反应阶段存在明显变化。在预聚合阶段,单体浓度处于充溢态,聚合物中含有富BA单元的链段和富VAc单元的链段;反应进入单体滴加阶段,单体浓度处于饥饿态,生成共聚组成接近于加料比的均匀共聚物, VAc的数均序列长度（l_a）与BA的数均序列长度（l_b）均较小。     

Master方程的修正及其对BA模型度分布的计算

Master方程是计算无标度网络度分布演化规律的一种常用方法.提出了对原始的Master方程进行修正,加入了节点增长机制,修正后的Master方程具有离散性,能够更精确、更有效的计算真实复杂网络的度分布演化规律.用修正的Master方程分析BA模型度分布的解析式并计算,由此得到BA模型度分布对数图.把离散性的Master方程与连续性的平均场理论进行对比分析,并在同一坐标系下分别做出用两种理论计算的BA模型度分布的对数图.     

培养基及6BA与蔗糖浓度对白桦茎叶去分化率的影响

在培养白桦试管苗的去分化阶段进行不同培养基、6BA浓度、蔗糖浓度对茎、叶去分化率影响的比较试验，结果表明：以MS＋NAA0．1mg／L＋IBA0．5mg／L为基本培养基时，茎、叶的去分化效果较好，并且添加的蔗糖浓度越低，越适于茎的分化，浓度较高，越适于叶的分化。