第十八章质谱法(Mass Spectrometry,MS) 应用: 质谱是应用最为广泛的方法,它可以为我们提供以下信息: （ a）样品元素组成; （b）无机、有机及生物分析的结构---结构不同,分子或原子碎片不同 荷质比不同) （c）复杂混合物的定性定量分-谱方法联用(GC-) d)固体表面结构和组成分析----光烧蚀等离子体---质谱联用; （e）样品中原子的同位素比。 历史: 1813年, Thomson使用MS报道了Ne是由Ne和24N两种同位素组成;随后,同位素分析开始发展。在30年代末,由于石油工业的发展

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5.1 串的定义 5.2 串的表示和实现 5.3 正文模式匹配

Stationary Electric Charges Coulomb's Law Electric Field Intensity E Superposition and Extented Charge Distribution Electric Potential Electric Dipole

Motional Electromtance Faraday Induction Law for V B Fields Lenz' law Faraday Induction Law for Time- Dependenct B Flux Linkage E in Terms of and A

This lecture presents the two main contributions of \interactive epistemology\ to the the- ory of normal-form games: a characterization of Nash equilibrium beliefs, and a full (i.e. behavioral)characterization of rationalizability. A review of the basic definitions For your convenience, summarize the essential definitions pertaining to models of interactive

Marciano Siniscalchi October 28, 1999 Introduction [Again, by and large, I will follow OR, Chap. 8, so will keep these notes to a minimum.] Review of key definitions Recall our three payoff aggregation criteria: discounting, i.e

Introduction The purpose of this lecture is to help you familiarize with the workings of sequential equi- librium and\sequential equilibrium lite\, i.e. perfect Bayesian equilibrium The main focus is the \reputation\result of Kreps and Wilson(1982). You should refer to OR for details and definitions: I am following the textbook quite closely We have already mentioned the Entry Deterrence game. Now consider a K-fold repetition

Extend Proposition 151.1 (the Perfect Folk Theorem with discounting) to arbitrary mixtures of payoff profiles of the original game G =(, (A Ui) ) Allow for both rational and real weights on the set of profiles {u(a): a E A}; note that the statement of the result will involve an approximation of the payoff profile

H.264 and MPEG-4 Video Compression Video Coding for Next-generation Multimedia Iain E.G. Richardson The Robert Gordon University, Aberdeen, UK WILEY