HPLC法测定卡巴拉汀贴剂中药物含量及其体外透皮释放量

建立了一种卡巴拉汀贴片含量及其体外透皮释放量的高效液相色谱(HPLC)测定法,并用离体豚鼠皮肤为透皮屏障,采用改进Franz扩散池,研究卡巴拉汀透皮贴剂体外透皮性能.结果表明,卡巴拉汀在9.69～116.32μg/mL浓度范围内线性关系良好,检测限为0.17 μg/,mL,精密度RSD为0.12%～0.47%,低、中、高3个浓度的平均回收率分别为98.79%、98.59%、99.88%;该贴剂体外透皮释放曲线符合零级方程(Q=kt),为Q=59.91t+6.02,r=0.9987.所建立的HPLc方法灵敏、准确、操作简便,可有效测定卡巴拉汀贴剂的含量及其体外透皮释放量.     

Random-order fractional differential equation models

This paper proposes a new concept of random-order fractional differential equation model, in which a noise term is included in the fractional order. We investigate both a random-order anomalous relaxation model and a random-order time fractional anomalous diffusion model to demonstrate the advantages and the distinguishing features of the proposed models. From numerical simulation results, it is observed that the scale parameter and the frequency of the noise play a crucial role in the evolution behaviors of these systems. In addition, some potential applications of the new models are presented.     

Partial Wavelet Coherence to Evaluate Scale-dependent Relationships Between Precipitation/Surface Water and Groundwater Levels in a Groundwater System

Water Resources Management - Identifying the scale-dependent control of various surface factors on a groundwater system is a challenge due to the potential interdependence between these factors....     

An assembly sequence planning approach with a discrete particle swarm optimization algorithm

In this paper, a discrete particle swarm optimization (DPSO) algorithm is proposed to solve the assembly sequence planning (ASP) problem. To make the DPSO algorithm effective for solving ASP, some key technologies including a special coding method of the position and velocity of particles and corresponding operators for updating the position and velocity of particles are proposed and defined. The evolution performance of the DPSO algorithm with different setting of control parameters is investigated, and the performance of the proposed DPSO algorithm to solve ASP is verified through a case study.     

Fundamental study of novel mid-and low-temperature solar thermochemical energy conversion

A new approach to application of mid-and low-temperature solar thermochemical technology was in-troduced and investigated.Concentrated solar thermal energy in the range of 150―300℃ can be effi-ciently converted into high-grade solar fuel by integrating this technique with the endothermic reaction of hydrocarbons.The conversion mechanism of upgrading the low-grade solar thermal energy to high-grade chemical energy was examined based on the energy level.The new mechanism was used to integrate two novel solar ...     

Balanced-evolution genetic algorithm for combinatorial optimization problems: the general outline and implementation of balanced-evolution strategy based on linear diversity index

How to rationally inject randomness to control population diversity is still a difficult problem in evolutionary algorithms. We propose balanced-evolution genetic algorithm (BEGA) as a case study of this problem. Similarity guide matrix (SGM) is a two-dimensional matrix to express the population (or subpopulation) distribution in coding space. Different from binary-coding similarity indexes, SGM is able to be suitable for binary-coding and symbol-coding problems, simultaneously. In BEGA, opposite-direction and forward-direction regions are defined by using two SGMs as reference points, respectively. In opposite-direction region, diversity subpopulation always tries to increase Hamming distances between themselves and the current population. In forward-direction region, intensification subpopulation always tries to decrease Hamming distances between themselves and the current elitism population. Thus, diversity subpopulation is more suitable for injecting randomness. Linear diversity index (LDI) measures the individual density around the center-point individual in coding space, which is characterized by itself linearity. According to LDI, we control the search-region ranges of diversity and intensification subpopulations by using negative and positive perturbations, respectively. Thus, the search efforts between exploration and exploitation are balanced. We compared BEGA with CHC, dual-population genetic algorithm, variable dissortative mating genetic algorithm, quantum-inspired evolutionary algorithm, and greedy genetic algorithm for 12 benchmarks. Experimental results were acceptable. In addition, it is worth noting that BEGA is able to directly solve bounded knapsack problem (i.e. symbol-coding problem) as one EA-based solver, and does not transform bounded knapsack problem into an equivalent binary knapsack problem.     

Fundamental study of CO<Subscript>2</Subscript> control technologies and policies in China

The technical roadmap and policies for CO₂ mitigation suitable for China are a common center of attention in the fields of energy, environment, and management science in the country. Emphasizing interaction between technical research and policy research, this work discovers the potential breakthrough in the integrated field. The technical difficulties of recovering CO₂ are pointed out, the mechanism of combining CO₂ recovery with energy conversion is investigated, and the basic principle for integrating an environmental-friendly energy system is discussed. Moreover, the formulation of a new energy system that can recover CO₂ with very low or even zero energy penalty is proposed, while the assessment methodology and model system for the technical roadmap of CO₂ emission control are developed. Finally, a new technical roadmap constructing an energy network suitable for China is proposed, which may provide a new way for the development of sustainable energy and environment technologies. Supported by the major international cooperation projects of the National Natural Science Foundation of China (Grant No. 50520140517)     

电梯导靴摩擦特性的实验研究

在电梯系统的设计与制造中,电梯导靴被设计成与导轨紧密接触,并运行在其上.这种导靴与导轨间的表面接触呈现出强非线性滞回摩擦特性,并进而引起电梯轿厢的纵向和横向振动,严重影响电梯运行与乘坐舒适性.在设定的参数条件组合下,实验研究电梯导靴与导轨接触面间的滑动摩擦力及其特性,并呈现出丰富的摩擦特性,如摩擦滞回、预滑动/宏观滑动...     

基于定时器超时时刻调整的低功耗技术

针对通信系统中各定时器和网络端时钟频繁产生中断使系统过早进入工作状态的问题,结合移动终端的特点,提出一种基于定时器超时时刻调整的低功耗技术,并且从理论和实践上进行验证,该技术能够使设备尽可能地处于睡眠状态,有效地降低了系统功耗,对推动移动通信产业的发展具有重大意义。