A luminescent Zn(II)-Containing Complex: Selective Sensing of Cr(VI) Anion and Application Values on Tuberculosis Care Through Increasing the Antibacterial Response of Macrophages

Journal of Fluorescence - A new Zn(II)-bearing metal-organic framework (MOF), namely, {[Zn2(L)2(H2O)]·8H2O·DMF}n (1) has been generated via applying...     

Tesla微混合器结构参数对混合强度的影响

针对Tesla微混合器混合原理,利用计算流体力学(CFD)模拟与分析软件对其进行了三维数值模拟.模型采用有限体积法离散、SIMPLEC算法进行层流计算.分析了结构参数的改变对该混合器混合效果的影响,并采用混合强度值作为衡量指标.分析结果显示,不同通道高宽比和分离通道入流角度等结构参数对该微混合器的混合效果有重要影响.模...     

A revision of machine scheduling problems with a general learning effect

In this paper, we show that the main results in a recent paper by Zhang and Yan [X. Zhang and G. Yan, Machine scheduling problems with a general learning effect, Mathematical and Computer Modelling 51 (2010) 84–90] are incorrect as an important reason is missing, that is, the processing time of a job is variable according to a general learning effect. Here we point out these wrong results by a counter-example. In addition, we give a revised model with a general learning effect. We show that some single machine scheduling problems are still polynomially solvable under the revised model. We also show that some special cases of the flowshop scheduling problems can be solved in polynomial time under the revised model.     

Parallel identical machines scheduling with deteriorating jobs and total absolute differences penalties

In this paper we consider parallel identical machines scheduling problems with deteriorating jobs. In this model, job processing times are defined by functions of their starting times. We concentrate on two goals separately, namely, minimizing the total absolute differences in completion times (TADC) and the total absolute differences in waiting times (TADW). We show that the problems remains polynomially solvable under the proposed model.     

金红石相TiO_2纳米棒的氢化处理及其光催化活性

以钛酸四丁酯为钛源,通过盐酸调制的水热法制备出了具有棒状结构的金红石相纳米TiO2,并进一步进行高温氢化处理.采用X射线衍射(XRD),透射电镜(TEM),紫外-可见-近红外漫反射(UV-Vis-NIR DRS),电子顺磁共振(EPR)和表面光伏(SPS)等测试手段对样品进行表征,以气相乙醛和液相苯酚为目标污染物考察催化剂的光催化活性.结果表明:随着高温氢化处理时间的延长,TiO2样品的可见光吸收逐渐增强,其颜色逐渐由白色转变成灰色,这主要与引入的Ti3+/氧空位缺陷有关.表面光电压谱和羟基自由基测试表明,适当时间的氢化处理有利于光生电荷的分离.在光催化氧化降解气相乙醛和液相苯酚过程中,经适当时间氢化处理的样品表现出高的可见光催化活性.并且可见光催化活性的规律与紫外光下的是一致的.这是因为氢化处理后在导带底下方引入了缺陷能级,拓展了可见光响应.过度的氢化处理会在TiO2导带下方引入较低的缺陷能级,使光生电荷的复合加剧,导致光催化活性降低.     

Single-machine scheduling with nonlinear deterioration

In this paper, we consider the single-machine scheduling problems with nonlinear deterioration. By the nonlinear deterioration effect, we mean that the processing times of jobs are nonlinear functions of their starting times. We show that even with the introduction of nonlinear deterioration to job processing times, single machine makespan minimization problem remains polynomially solvable. We also show that an optimal schedule of the total completion time minimization problem is V-shaped with respect to job normal processing times. A heuristic algorithm utilizing the V-shaped property is proposed, and computational experiments show that it performs effectively and efficiently in obtaining near-optimal solutions.     

Parallel machines scheduling with deteriorating and learning effects

In this paper parallel identical machines scheduling problems with deteriorating jobs and learning effects are considered. In this model, job processing times are defined by functions of their starting times and positions in the sequence. We concentrate on two goals separately, namely, minimizing a cost function containing total completion time and total absolute differences in completion times; minimizing a cost function containing total waiting time and total absolute differences in waiting times. We show that the problems remain polynomially solvable under the proposed model.     

N,S共掺杂纳米TiO_2:水解-溶剂热法合成及可见光催化活性

采用简单的两相分离的水解-溶剂热法,以硫脲为非金属原料,可控地制备了N,S共掺杂的纳米TiO2。所获得的纳米TiO2平均粒径为10 nm、粒径分布集中,且分散性好。N,S共掺杂拓展了纳米TiO2对可见光的响应范围。气氛可控的表面光电压谱(SPS)的测试结果表明,N,S共掺杂引起的表面态能够捕获光生空穴,进而有利于光生电荷分离。在可见光催化氧化水产氧及降解污染物乙醛的过程中,共掺杂的纳米TiO2表现出了高的活性,甚至优越于N掺杂的。这主要归因于N,S共掺杂的纳米TiO2分散性好、可见光吸收强和光生电荷分离高。     

Some single-machine scheduling with both learning and deterioration effects

In this paper we consider the single-machine scheduling problems with both learning and deterioration effects. By the effects of learning and deterioration, we mean that job processing times are defined by functions of their starting times and positions in the sequence. It is shown that even with the introduction of learning effect and deteriorating jobs to job processing times, single-machine makespan minimization problem and the sum of the θth power of job completion times minimization problem remain polynomially solvable, respectively. But for the following objective functions: the weighted sum of completion times and the maximum lateness, this paper proves that the WSPT rule and the EDD rule can construct the optimal sequence under some special cases, respectively.     

On the ERM formulation and a stochastic approximation algorithm of the stochastic-R_0 EVLCP

In this paper, a class of stochastic extended vertical linear complementarity problems is studied as an extension of the stochastic linear complementarity problem. The expected residual minimization (ERM) formulation of this stochastic extended vertical complementarity problem is proposed based on an NCP function. We study the corresponding properties of the ERM problem, such as existence of solutions, coercive property and differentiability. Finally, we propose a descent stochastic approximation method for solving this problem. A comprehensive convergence analysis is given. A number of test examples are constructed and the numerical results are presented.