A Simple Experimental Technique to Measure Tortuosity in Packed Beds

In this article, a simple and inexpensive experimental technique easy to build in laboratory, for the measurement of tortuosity of a packed bed of inert particles, is described. Experimental values of the tortuosity were obtained with four different packed beds of sand. The experimental results obtained are in good agreement with the theoretical values of tortuosity in a porous media; and the data reported showed the tortuosity to increase with decrease in the void fraction of the packed bed as expected.     

物理化学课程教学方法探讨

物理化学课程的教学有它自身的特点,根据其特点从多方面、多视角探索了物理化学课程教学的教学方法,并在实践中获得了良好的教学效果。     

块状镁基金属玻璃的研究进展

介绍了块状镁基金属玻璃的发展过程及最新的研究进展,着重阐述了块状镁基金属玻璃的几种制备方法及其性能,最后指出了今后块状镁基金属玻璃的研究重点.     

圆形超细金属／合金丝研究进展及其在Z箍缩研究中的应用

介绍了圆形超细金属／合金丝制备技术基本原理、技术特点及基本性能，主要包括拉拔技术、电解腐蚀技术及熔融快速凝固技术。回顾了超细W、Mo、Al丝等在Z箍缩丝阵负载材料中的应用。     

How disorder can diminish avalanche risks: effect of size distribution

We study the behavior of disk assemblies with a variable disorder distribution. The packing is first consolidated and then continuously tilted very slowly. The amount of displaced disks for each tilted angle is recorded. Large displacements of the disks can occur due to some local or global mechanical instabilities. The definition of neighboring disks is based on radical (extension of Voronoï) tessellation rules to decompose, in a unique and perfectly defined manner, the two-dimensional space for polydisperse disks. In this way, by comparing the characteristics of stability for one disk to the neighboring ones for local ordered cluster, we can predict the global amount of displaced disks. Some tilting cycles have been performed to check the correlation between the instability of the packing structure (collective displacements) with micro and macro order parameters.     

知识经济与领导方法创新

知识经济对领导方法提出了新的要求，也使传统的领导方法面临严峻挑战，知识经济时代所需要的领导方法具有开拓创新性。     

Linkages between spouses' psychological distress and marital conflict in the home.

To elucidate the processes that underlie the established association between psychopathology and marital functioning, researchers have given attention to how symptomatic individuals manage their interpersonal contexts, particularly during the handling of disagreements. In the current study, the authors evaluate the role of marital conflict strategies in relation to wives' and husbands' psychological distress levels. A sample of 100 community-based couples completed assessments of psychological distress and diaries describing marital conflict that occurred at home during a 15-day reporting period. Findings from multilevel modeling of dyadic data revealed associations between both spouses' psychological distress and multiple behavioral and emotional conflict expressions in the home. Psychological symptoms uniquely predicted the occurrence of certain conflict expressions, even when accounting for global negative marital sentiments. The findings encourage subsequent consideration of marital conflict expressions and resolution strategies when studying processes involved in the marriage-psychological adjustment link. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A branch-and-price algorithm to solve the molten iron allocation problem in iron and steel industry

The molten iron allocation problem (MIAP) is to allocate molten iron from blast furnaces to steel-making furnaces. The allocation needs to observe the release times of the molten iron defined by the draining plan of the blast furnaces and the transport time between the iron-making and steel-making stages. Time window constraints for processing the molten iron must be satisfied to avoid freezing. The objective is to find a schedule with minimum total weighted completion time. This objective reflects the practical consideration of improving steel-making efficiency and reducing operation cost caused by the need for reheating. Such a problem can be viewed as a parallel machine scheduling problem with time windows which is known to be NP-hard. In this paper, we first formulate the molten iron allocation problem as an integer programming model and then reformulate it as a set partitioning model by applying the Dantzig–Wolfe decomposition. We solve the problem using a column generation-based branch-and-price algorithm. Since the subproblem of column generation is still NP-hard, we propose a state-space relaxation-based dynamic programming algorithm for the subproblem. Computational experiments demonstrate that the proposed algorithm is capable of solving problems with up to 100 jobs to optimality within a reasonable computation time.     

Multiplicative Operator Splittings in Nonlinear Diffusion: From Spatial Splitting to Multiple Timesteps

Operator splitting is a powerful concept used in many diversed fields of applied mathematics for the design of effective numerical schemes. Following the success of the additive operator splitting (AOS) in performing an efficient nonlinear diffusion filtering on digital images, we analyze the possibility of using multiplicative operator splittings to process images from different perspectives.We start by examining the potential of using fractional step methods to design a multiplicative operator splitting as an alternative to AOS schemes. By means of a Strang splitting, we attempt to use numerical schemes that are known to be more accurate in linear diffusion processes and apply them on images. Initially we implement the Crank-Nicolson and DuFort-Frankel schemes to diffuse noisy signals in one dimension and devise a simple extrapolation that enables the Crank-Nicolson to be used with high accuracy on these signals. We then combine the Crank-Nicolson in 1D with various multiplicative operator splittings to process images. Based on these ideas we obtain some interesting results. However, from the practical standpoint, due to the computational expenses associated with these schemes and the questionable benefits in applying them to perform nonlinear diffusion filtering when using long timesteps, we conclude that AOS schemes are simple and efficient compared to these alternatives.We then examine the potential utility of using multiple timestep methods combined with AOS schemes, as means to expedite the diffusion process. These methods were developed for molecular dynamics applications and are used efficiently in biomolecular simulations. The idea is to split the forces exerted on atoms into different classes according to their behavior in time, and assign longer timesteps to nonlocal, slowly-varying forces such as the Coulomb and van der Waals interactions, whereas the local forces like bond and angle are treated with smaller timesteps. Multiple timestep integrators can be derived from the Trotter factorization, a decomposition that bears a strong resemblance to a Strang splitting. Both formulations decompose the time propagator into trilateral products to construct multiplicative operator splittings which are second order in time, with the possibility of extending the factorization to higher order expansions. While a Strang splitting is a decomposition across spatial dimensions, where each dimension is subsequently treated with a fractional step, the multiple timestep method is a decomposition across scales. Thus, multiple timestep methods are a realization of the multiplicative operator splitting idea. For certain nonlinear diffusion coefficients with favorable properties, we show that a simple multiple timestep method can improve the diffusion process.