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Sub MakeExcelChart() Dim XLSheet As Object Create a new document Documents.Add Prompt for values StartVal = InputBox( Starting Value ) PctChange = InputBox( Percent Change ) Create Sheet object Wbook = ThisDocument.Path & \projections.xls Set XLSheet = GetObject(Wbook, Excel.Sheet ).ActiveSheet Put values in sheet XLSheet.Range( StartingValue ) = StartVal XLSheet.Range( PctChange ) = PctChange XLSheet.Calculate Insert page heading Selection.Font.Size = 14 Selection.Font.Bold = True Selection.TypeText Monthly Increment: & _ Format(PctChange, 0.0% ) Selection.TypeParagraph Selection.TypeParagraph Copy data from sheet & paste to document XLSheet.Range( data ).Copy Selection.Paste Copy chart and paste to document XLSheet.ChartObjects(1).Copy Selection.PasteSpecial _ Link:=False, _ DataType:=wdPasteMetafilePicture, _ Placement:=wdInLine, DisplayAsIcon:=False

The occurrence of special events is an indication of the richness and variety in a person s life This category includes activities, both planned and unplanned, as well as special outings While this particular study, along with others such as [56], focused on the needs of older people and their relatives, one can hypothesise that similar information might also be of interest to any family members who are apart The ASTRA project [41] identi ed the costs and bene ts in Table 21 associated with the use of this kind of awareness system These are important factors to keep in mind as one designs new types of communication and awareness functions for an application or a system These are also among the key principles behind the Mobile Services Architecture described in 3 231.

interest and income tax could only decline from $50,000 to $20,000 before net income would be zero.

A clique of a graph G = (V, E) is a subset W of V st GW is complete, ie, vw E v, w W : v w The clique number (G) is the maximum number of vertices in a clique of G, and the clique problem is, given G and integer k 0, to decide whether G has a clique of size at least k The clique number is an obvious lower bound on the chromatic number of a graph, since all vertices in a clique must be colored differently (this bound is not tight as there are graphs G for which the gap between (G) and (G) becomes arbitrarily large [8]) It is well known that both the coloring and the clique problem are NP-complete.

For example, to register a hot key with MyApp.exe, I could write: BYTE bVirtKey; bVirtKey = SHGetAppKeyAssoc(TEXT("\\Windows\\MyApp.exe")); RegisterHotKey(hwndMain, 0, 0, bVirtKey); This example assumes that the window procedure of the window hwndMain handles the WM_HOTKEY messages. It also assumes that a program button has been mapped to the application MyApp.exe.

2 Communicating with Family Members at Home In addition to staying in touch with each other when they are not together, families also need ways to communicate within the home In addition to simple face-to-face interaction, families leave each other notes and reminders, for example Several papers talk about the special features of home as the main location for interaction among the family members For example, Debby Hindus and her colleagues [22] describe the following features of the home as a location for family communication: Households are displays Households are stages upon which household members imprint their identities, as shown by the considerable effort put into decorating and personalising most homes..

Moreover, both problems are also difficult to approximate: the problem of determining a coloring using at most |V|1/7 (G) colors, and the problem of finding a clique of size at least |V| 1/4 (G), are NP-hard for each > 0 [6] This implies, in particular, that it is not possible to approximate the optimization versions of these problems within constant performance ratio in polynomial time, unless P = NP Another type of NP-complete problem we deal with in this chapter is the bin packing problem Given a set X with positive element sizes x, x X, and M > 0, an M-packing of X is a set B of mutually disjoint subsets of X st X = B B B and the total size B = B is at most M.

surrounding resistance exercise intensity, Arent, Landers, et al employed multiple resistance training protocols (noexercise control, 40%, 70%, and 100% 10RM) while controlling for exercise volume Findings supported a significant difference in physiological demand ( heart rate, rating of perceived exertion, and cortisol) between each of the three resistance training protocols The results showed that moderate-intensity training (70% 10RM) was the only condition to result in immediate, large, and enduring anxiolytic responses Additionally, this condition also produced significant reductions in negative affect and tiredness and significant increases in positive affect, energy, and calmness compared to the other conditions Metaanalytic evidence from studies using older adults (Arent et al, 2000) provides further support for the effectiveness of both aerobic and resistance exercise in producing beneficial changes in both positive and negative mood.