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31 Kishi, T, Inoue, T, Suzuki, S, Yasuda, T, Oikawa, T and Niwaguchi, T Analysis of impurities in methamphetamine Eisei Kagaku 29, 400 406 (1983) 32 Kishi, T Application of neutron activation analysis to forensic chemistry Eisei Kagaku 32, 335 343 (1986) 33 Kishi, T Forensic neutron activation analysis the Japanese scene J Radioanal Nucl Chem 114, 275 280 (1987) 34 Kishi, T Determination of sodium, bromine, palladium, iodine and barium in authentic methamphetamine hydrochloride by inductively coupled plasma-mass spectrometry Rep Nat Res Inst Police Sci Res Forensic Sci 41, 256 259 (1988) 35 Suzuki, S, Tsuchihashi, H, Nakajima, K, Matsushita, A and Nagao, T Analyses of impurities in methamphetamine by inductively coupled plasma mass spectrometry and ion chromatography J Chromatogr 437, 322 327 (1988) 36 Marumo, Y, Inoue, T and Seta, S Analysis of inorganic impurities in seized methamphetamine samples.

Forensic Sci Int 69, 89 95 (1994) 37 Infante, F, Domiguez, E, Trujillo, D and Luna, A Metal contamination in illicit samples of heroin J Forensic Sci 44, 110 113 (1999) 38 Maeda, T, Shimoda, O, Muratsu, S, Shimoyama, M, Misaki, K, Nakanishi, T, Ninomiya, T, Kagoshima, Y, Takai, K, Ibuki, T, Yokoyama, K, Takeda, S, Tsusaka, Y and Matsui, J An identi cation of a Meteorite Rep Nat Res Inst Police Sci Res Forensic Sci 54, 11 18 (2001) 39 Muratsu, S, Ninomiya, T, Kagoshima, Y and Matsui, J Trace elemental analysis of drugs of abuse using synchrotron radiation total re ection X-ray uorescence analysis (SR-TXRF) J Forensic Sci 47, 944 949 (2002) 40 Ninomiya, T, Muratsu, S, Maeda, T, Shimoda, O, Nakanishi, T, Hashimoto, T.

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, Saitoh, Y, Nakai, I, Terada, Y, Nishiwaki, Y, Marumo, Y, Suzuki, S, Suzuki, Y and Kasamatsu, M Trace element characterization of gunshot residues using SR-XRF technique SPring-8 User Experiment Report (JASRI), No 5 (2000A), 129 (2000) 41 Ninomiya, T, Nakanishi, T, Muratsu, S, Saitoh, Y, Shimoda, O, Watanabe, S, Nishiwaki, Y, Matsushita, T, Suzuki, S, Suzuki, Y, Ohta, H, Kasamatsu, M, Nakai, I and Terada, S Elemental analysis of a trace of paint chip using SR-XRF SPring-8 User Experiment Report (JASRI), No 7 (2001A), 67 (2001)..

A columnar version of Small Icons view, with the same size icons but a more linear look A columnar view style that uses the same icon size as Small Icons but presents them in a more regulated fashion. A view that presents information about each folder and file to the right of the icon, as with Small Icons and Details, but utilizes a much larger icon (it s the same icon used by Medium Icons view). Because of the extra space available, Tiles view can present more than just the icon s name. What you see varies according to file type. Microsoft Word documents, for example, include both the name of the file and the notation Microsoft Word Document. Digital photos include the name and the date the pic ture was taken. A view that combines the medium icon behavior of the Tiles view (although these icons are strangely a tad smaller) with the behavior of the informative Details view. The columnar information you would normally see in Details view piles up to the right of each icon, space permitting.

y introduction to what is known today as decision analysis occurred in Paris. It was the winter of 1951, when at age 6, I asked my father what he was working on. He had received a Guggenheim fellowship to write his book, The Foundations of Statistics,1 and was on sabbatical from the University of Chicago. He told me that he was thinking about how people made decisions, and he gave me the following example of how they don t. A man in a restaurant is trying to decide between the fried chicken and the roast beef. He is inclined toward the chicken, but asks the waiter one more question: Do you also have duck today Yes we do, responds the waiter. Oh, in that case, says the man, I ll have the beef. My father eventually arrived at a set of rules that proposed to describe how rational people would make decisions in the face of uncertainty. The preceding restaurant decision would be deemed irrational, because whether the restaurant had duck was irrelevant to the choice between chicken and beef. My father stayed in this line of work for the rest of his life, collaborating with Milton Friedman and others on what came to be known as the THEORY OF RATIONAL EXPECTATION. He put it this way on page 16 of The Foundations of Statistics: The point of view under discussion may be symbolized by the proverb Look before you leap, and the one to which it is opposed by the proverb, You can cross that bridge when you come to it.

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