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VBA code, which resides in a VBA module, consists of instructions. The accepted practice is to use one instruction per line. This standard is not a requirement, however; you can use a colon to separate multiple instructions on a single line. The following example combines four instructions on one line: Sub OneLine() x= 1: y= 2: z= 3: MsgBox x + y + z End Sub Most programmers agree that code is easier to read if you use one instruction per line: Sub OneLine() x = 1 y = 2 z = 3 MsgBox x + y + z End Sub Each line can be as long as you like; the VBA module window scrolls to the left when you reach the right side. For lengthy lines, you may want to use VBA s line continuation sequence: an underscore (_) preceded by a space. For example, Sub LongLine() SummedValue = _ Worksheets( Sheet1 ).Range( A1 ).Value + _ Worksheets( Sheet2 ).Range( A1 ).Value End Sub When you record macros, Excel often uses underscores to break long statements into multiple lines. After you enter an instruction, VBA performs the following actions to improve readability:

2006-04-05 05:41:21.948 TVRec(1): Changing from None to WatchingLiveTV 2006-04-05 05:41:22.008 Channel(/dev/video0)::Open(): Can t open video device, error No such file or directory 2006-04-05 05:41:22.009 ChannelBase: Could not find input: Tuner 1 on card when setting channel 60

19,200 3,500 12,300 500 27,200 62,700

Proof: By stationarity, W (Xn |X1 , X2 , . . . , Xn 1 ) is nondecreasing in n. Hence, it must have a limit, possibly in nity. Since W (X1 , X2 , . . . , Xn ) 1 = n n

= [m/(2 kB )]

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topic pursued for its intrinsic interest (Chapelle 2000; Griebler 2001). In parallel with these developments, a number of pioneering researchers were also busy investigating the meio- and macro-fauna of a range of aquifer systems. The rst substantial synthesis of this work appeared in the mid 1990s (Gibert et al. 1994), providing a rm foundation upon which groundwater ecology has begun to be erected as a new subdiscipline of ecology (see Wilkens et al. 2000; Griebler et al. 2001; Danielopol et al. 2003). By the mid 1990s, the concept of applied groundwater ecology was beginning to emerge (Malard et al. 1996), with the proposal that evaluations of groundwater ecosystem status might be useful within wider groundwater quality monitoring programs (just as invertebrate surveys of streams are used to assess the overall quality of surface waters). As in surface water studies, the initial proposal of Malard et al. (1996) was to use invertebrates as biomonitors of aquifer quality. A number of pioneering investigations have been launched to investigate the feasibility of this proposition. One such study, within a karstic aquifer (cf. Section 6.4.4), found that the relative abundances of certain classes of invertebrates proved to be a reliable indicator of sporadic sewage pollution, which might have gone undetected using conventional water sampling techniques. It is beyond the scope of this book to provide a thorough introduction to groundwater ecology, let alone its potential applications to aquifer monitoring and management. Rather, the following sections offer brief summaries of the key ndings of studies of particular aspects of groundwater ecosystems. For more detailed insights into the techniques and ndings of such studies, the references cited in the text should be consulted. 6.4.2 Natural microbial communities in aquifers Our understanding of the microbial ecology of aquifers is an area of extremely active research

In [13], optimal graph labelings for odd cycles with constraints c1, c2 are given. If c1 > 2c2, or c1 2c2 and n 0 mod 3, the span is 2c1, and the cyclic span is 3c1. Using Algorithm A in combination with this labeling gives a performance ratio of max{1, 3c1/c0}. For the remaining case, the span is c1 + 2c2 and the cyclic span is c1 + 3c2, leading to a performance ratio for Algorithm A of max{1, (c1 + 3c2)/c0}. In [3], Bertossi et al. give a graph labeling for cycles of length at least 4 with constraints c1, c2, c3 = 2, 1, 1. The span of the labeling is 4, and its cyclic span is 6. Adapting this labeling to general parameters c1, c2, c3 and using Algorithm A gives a performance ratio of max{1, 3c1/c0, 6c2/c0}. 5.3.3 Hexagon Graphs The first labelings for hexagon graphs were labelings by arithmetic progression given by van den Heuvel et al. in [39]. The labelings, as defined by their parameters a1, a2, and n, are given in the table below.

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