1.PPSD (PHOS Pre-Shower Detector) (Fig.3.1) consists of a sandwich of charged particle detectors: Charged Particle Veto detector (CPV), Passive Converter and Photon Conversion detector (PC). The charged particle detectors. CPV and PC, are the same gaseous detectors based on the MICROMEGAS technology.
PPSD由三部分组成：带电粒子反符合探测器CPV(Charged Particle Veto Detector)，铅转换体(Lead Converter)和光子转换探测器PC(Photon Converter Detector)。
2.This paper,presents a simulation method of the scenery based on particle system and Particle System API. Combining with texture mapping,multiple fountain simulation is realized by adopting line way instead of traditional point way to render particle.
提出了一种基于粒子系统和Particle System API的景物模拟方法,并采用Line方式取代传统的Point方式渲染粒子,结合纹理映射方法实现了多种喷泉模拟。
3.The electromagnetic particle-in-cell (PIC) simulation technology, which bases on the time-domain finite difference (FDTD) algorithm and the concept of finite-size particle, can solve the Maxwell equations and the motion equations of electrons directly.
电磁粒子模拟技术(Particle in Cell Simulation)技术基于时域有限差分方法和有限大小粒子概念，能直接求解有源麦克斯韦方程组和电子相对论运动方程。 与大信号理论模拟相比，PIC模拟能更全面地反映互作用物理过程。
4.Signal recognition particle(SRP) pathway is a highly conserved pathway for protein targeting, and was found sequentially in eukaryotes, prokaryotes and archaebacteria.
信号识别颗粒(signal recognition particle,SRP)途径是一个高度保守的蛋白靶向途径,先后在真核生物、原核生物和古细菌中被发现。
5.Particle Swarm Optimization roots in research on colony movement of bird and fish. It is a kind of evolutive calculational methods based on group brainpower.
粒子群优化算法(Particle Swarm Optimization，PSO算法)源于鸟群和鱼群群体运动行为的研究，是一种基于群智能方法的演化计算技术，是演化计算领域中的一个新的分支。
6.Particle swarm optimization (PSO) is an evolutionary computation technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling.
粒子群优化算法(Particle Swarm Optimization，PSO算法)源于鸟群和鱼群群体运动行为的研究，是一种新的群体智能优化算法，是演化计算领域中的一个新的分支。
7.A k-ε-PDF Two-Phase Turbulence Model for Simulating Sudden-Expansion Particle-Laden Flows
A k－ε－PDF Two－Phase Turbulence Model for Simulating Sudden－Expansion Particle－Laden Flows
8.THE STUDY ON EFFECT OF PARTICLE SIZE IN BOTANICAL STANDARD SAMPLE ANALYSIS BY SLURRY SAMPLING AND FLUORINATION ELECTROTHERMAL VAPORIZATION (ETV)-ICP-AES
THE STUDY ON EFFECT OF PARTICLE SIZE IN BOTANICAL STANDARD SAMPLE ANALYSIS BY SLURRY SAMPLING AND FLUORINATION ELECTROTHERMAL VAPORIZATION（ETV）－ICP－AES
9.SRP54 protein is a crucial component of signal recognition particle (SRP).
SRP54蛋白是信号识别颗粒(signal recognition particle)的一个关键组分.
10.Particle Swarm Optimization was firstly proposed by Kennedy and Eberhart in 1995, and it is an evolutionary algorithm based on iterations.
粒子群优化算（Particle Swarm Optimization，简称PSO）首先由Kennedy和Eberhart于1995年提出，是一种基于迭代的进化计算的算法。
