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For a robust introduction to the terminology of pollutant organics, the reader should consult Hounslow (1995); a thorough grounding in the key scienti c issues relating to these pollutants is provided by Fetter (1999) 427 Useful isotopes To understand what an isotope is, it is necessary to recall some of the basics of atomic structure An atom consists of a nucleus, in which protons and neutrons reside, and orbitals, which are occupied by electrons When an atom bears no electrical charge (ie it is in the nonionized form), the total number of protons in the nucleus will exactly match the total number of electrons in the various orbitals However, as we have already seen, electrons can be added to or removed from atoms during chemical (redox) reactions, resulting in ionization, ie.

Thus, ultrasound positioning systems based on time measurements can be quite accurate To illustrate the comparison in terms of required clock accuracy: 1 ms for an ultra sound system is equivalent to 1 ns for an electromagnetic wave Furthermore, sound exhibits re ections, but, once again, for a re ected ray that would travel 5 m more, it corresponds to a 167 ms delay, which is easily discriminated from the direct path The reader can now understand the reason for the increased accuracy of ultrasound solutions with quite cheap electronics An example of such a system has been developed by the Computer Laboratory of the University of Cambridge, UK (Fig 92) The technical characteristics are summarized in Table 96.

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giving the atom a net charge (positive in the case of cations, negative in the case of anions) While the electrons can enter or leave the outer orbitals relatively freely, the same does not apply to the protons in the nucleus Irrespective of the chemical transformations any atom or ion of a particular element has undergone, its nucleus will always contain exactly the same number of protons as other atoms or ions of the same element..

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The upper part of this table is related to the description: the technology, the type of localization achieved (typically giving details on the fact that the localization is done by the terminal, as in GNSS receivers for instance, or by the infrastructure deployed, as in major WLAN based approaches) together with the localization capabilities (the rate at which a location can be calculated by the system) Next is presented whether the positioning is absolute or relative to a given rst location that must be known, and nally the types of environments for which it has been designed (indoors, outdoors, or both)12 The lower part deals with performances in terms of the possible accuracy and range of each beacon A beacon is considered as being a single element allowing positioning inside the whole infrastructure.

Are variables in a VBA procedure available to other VBA procedures What if the procedure is in a different module Or in a different workbook

Although not absolutely complete, this table gives an acceptable and real overview of a given technique and technology A similar table will be given for each technique considered in this chapter..

The API declarations that you can use depend on your version of Excel. If you attempt to use a 32-bit API function with 16-bit Excel 5, you ll get an error. Similarly, if you attempt to use a 16-bit API function with 32-bit Excel 95 or later, you ll get an error. The examples in this section are for 32-bit Excel. I discuss this and other compatibility issues in detail in 25.

For data sets where the number of predictors is not too large, the best subsets procedure represents an attractive variable selection method. However, if there are more than 30 or so predictors, the best subsets method encounters a combinatorial explosion and becomes intractably slow. The best subsets procedure works as follows. 1. The analyst speci es how many (k) models of each size that he or she would like reported, as well as the maximum number of predictors ( p) the analyst wants in the model. 2. All models of one predictor are built: for example, y = 0 + 1 (sugars) 2 + , y = 0 + 2 ( ber) + , and so on. Their R 2 , Radj , Mallows C p (see below), and s values are calculated. The best k models are reported based on these measures. 3. Then all models of two predictors are built: for example, y = 0 + 1 (sugars) + 2 ( ber) + , y = 0 + 1 (sugars) + 4 (shelf 2) + , and so on etc. Their 2 R 2 , Radj , Mallows C p , and s values are calculated, and the best k models are reported. The procedure continues in this way until the maximum number of predictors ( p) is reached. The analyst then has a listing of the best models of each size 1, 2, . . . , p to assist in selection of the best overall model.

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