Fast and Robust Nanocellulose Width Estimation Using Turbidimetry

The dimensions of nanocelluloses are important factors in controlling their material properties. The present study reports a fast and robust method for estimating the widths of individual nanocellulose particles based on the turbidities of their water dispersions. Seven types of nanocellulose, including short and rigid cellulose nanocrystals and long and flexible cellulose nanofibers, are prepared via different processes. Their widths are calculated from the respective turbidity plots of their water dispersions, based on the theory of light scattering by thin and long particles. The turbidity‐derived widths of the seven nanocelluloses range from 2 to 10 nm, and show good correlations with the thicknesses of nanocellulose particles spread on flat mica surfaces determined using atomic force microscopy.

     

随机结构正交展开分析的Ritz动力聚缩法

针对随机结果正交展开理论计算上的弱点 ,本文在分析扩阶矩阵特性的基础上 ,于 Ritz模态向量子空间中对扩阶方程实现动力聚缩 ,大大提高了正交展开理论对实际工程问题的分析能力。分析实例表明 :即使结构参数具有很大变异性 (如δ =0 .4 )时 ,该算法依然能理想地与 Monte Carlo法模拟结果相吻合 ,计算时间则远远小于 Monte Carlo模拟法。同时 ,分析例证再一次强化了在结构动力分析中考虑结构参数随机性的必要性     

注塑制品残余应力的研究进展

由于实际工艺条件往往与理想值存在一定偏差,制品在成形后通常会存在一些难以避免的缺陷,而残余应力正是最为常见的一种。注塑制品的残余应力是在注塑成形过程中,外界约束去除后,仍存在于塑件内部的应力,在后期使用过程中容易引起塑件的翘曲、变形、乃至断裂破损,多数情况下对制品不利。因此,在塑料制品设计时应充分考虑到残余应力的影响。本文较为全面地介绍了注塑制品残余应力的产生、检测、减小残余应力的措施及残余应力的计算机模拟等内容。     

Self-assembly and morphological characterization of two-component functional amyloid proteins

Functional amyloid has been increasingly applied as self-assembling nanostructures to construct multifunctional biomaterials. However, little has been known how different side domains, varied fusion positions and subunits affect self-assembly and morphologies of amyloid fibrils. Here, we constructed three groups of two-component amyloid proteins based on CsgA, the major protein components of Escherichia coli biofilms, to bridge these gaps. We showed that all fusion proteins have amyloid features, as indicated by Congo red assay. Atomic force microscopy (AFM) indeed reveals that these fusion proteins are able to self-assemble into fibrils, with an average diameter of 0.5-2 nm and length of hundreds of nanometers to several micrometers. The diameter of fibrils increases with the increase of the molecular weight of fusion domains, while the dynamic assembly of recombinant proteins was delayed as a result of the introduction of fusion domains. Moreover, fusion of the same functional domains but at intermediate position seems to cause the most interference on fibril assembly compared with those fused at C or Nterminus, as mainly short and irregular fibrils were detected. This phenomenon appears more pronounced for randomly coiled mussel foot proteins (Mfps) than for rigid chitin-binding domain (CBD). Finally, increase of the molecular weight of tandem repeats in protein monomer seemed to increase the fibril diameter of the resultant fibrils, but either reduction of the tandem repeats of CsgA to one single belta-sheet loop or increase in the number of tandem repeats of CsgAs from one to four produced shorter and intermittent fibrils compared with CsgA control protein. These studies therefore provide insights into self-assembly of two-component amyloid proteins and lay the foundation for rational design of multifunctional molecular biomaterials.     

新解色谱现象

在客观分析色谱现象的基础上对色谱分离机理的传统解释提出了质疑和否定,并对色谱分离机理作出了新的解释。通过对色谱现象的研究和分析,不仅确定了一条流体运动的基本规律,还对固定相赋予了新的内涵,提出了能量场固定相的设想。由于对色谱分离原理进行了新的解释,因此对色谱现象提出了一个新的定义。     

Dynamic Docking and Undocking Processes Addressing Selectively the Outside and Inside of Polymersomes

Increasing complexity and diversity of polymersomes and their compartments is a key issue for mimicking cellular functions and protocells. Thus, new challenges arise in terms of achieving tunable membrane permeability and combining it with control over the membrane diffusion process, and thus enabling a localized and dynamic control of functionality and docking possibilities within or on the surface of polymeric compartments. This study reports the concept of polymersomes with pH‐tunable membrane permeability for controlling sequential docking and undocking processes of small molecules and nanometer‐sized protein mimics selectively on the inside and outside of the polymersome membrane as a further step toward the design of intelligent multifunctional compartments for use in synthetic biology and as protocells. Host–guest interactions between adamantane and β‐cyclodextrin as well as noncovalent interactions between poly(ethylene glycol) tails and β‐cyclodextrin are used to achieve selective and dynamic functionalization of the inner and outer spheres of the polymersome membrane.     

Multilinear Calderón-Zygmund Operators and Their Commutators with BMO Functions in Herz-Morrey Spaces with Variable Smoothness and Integrability

In this paper, we obtain that multilinear Calderón-Zygmund operators and their commutators with BMO functions are bounded on products of Herz-Morrey spaces with variable smoothness and integrability. The vector-valued setting of multilinear Calderón-Zygmund operators is also considered.     

Reconstruction of the Linear Ordinary Differential System Based on Discrete Points

In this paper, we discuss an inverse problem, i.e., the reconstruction of a linear differential dynamic system from the given discrete data of the solution. We propose a model and a corresponding algorithm to recover the coefficient matrix of the differential system based on the normal vectors from the given discrete points, in order to avoid the problem of parameterization in curve fitting and approximation. We also give some theoretical analysis on our algorithm. When the data points are taken from the solution curve and the set composed of these data points is not degenerate, the coefficient matrix $A$ reconstructed by our algorithm is unique from the given discrete and noisefree data. We discuss the error bounds for the approximate coefficient matrix and the solution which are reconstructed by our algorithm. Numerical examples demonstrate the effectiveness of the algorithm.     

基于果蝇算法优化广义回归神经网络的矢量水听器的DOA估计

为了提高矢量水听器阵列对窄带信号的DOA估计精度,运用果蝇算法优化广义回归神经网络,通过对阵列协方差矩阵实值化,并提取信号子空间的基作为样本特征进行网络训练,构建了果蝇算法优化下的广义回归神经网络,实现了基于矢量水听器阵列的水下声源的DOA估计.仿真实验结果表明,方法泛化性能较好,能解决输入维数过大的问题,且运行时间短,DOA估计精度高,具有较强的工程应用价值.