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In this syntax definition, element refers to the element with which the attribute is associated. The name is the name you give the attribute, such as type or id. In document instances, such as the ones shown throughout this chapter, a name= value pair is used to assign attribute values. The datatype, at least in XML 1.0, can be one of three types. It can be a string (CDATA), a set of tokenized types (ID, IDREF, IDREFS, ENTITY, ENTITIES, NMTOKEN, or NMTOKENS), or enumerated types. The string type can take any literal string while the tokenized types have varying lexical and semantic constraints. Enumerated types can take one of a list of possible values. (Datatypes are covered in detail in 4, Applying Datatypes, and both the primitive and derived datatypes in XSD are explored in Appendix A, Datatypes. ) Finally, the #use is a method of specifying whether the attribute is required or optional or has a default value. If it is required, #use will contain #REQUIRED; if optional, it will contain #IMPLIED; and if there is a default value, it will contain #FIXED. It is also worth noting that an element can have more than one attribute, so you can repeat this syntax within the same <!ATTLIST> instance.
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Given: Sales for 1st month = $60,000 Cost of sales = 42% of sales, all variable Operating expenses = $10,000 fixed plus 5% of sales Taxes = 30% of net income Sales increase by 5% each month (a) Based on this information, Exhibit 11.2 presents a spreadsheet for the contribution income statement for the next 12 months and in total. (b) Exhibit 11.3 shows the same in assuming that sales increase by 10% and operating expenses = $10,000 plus 10% of sales. This is an example of what-if scenarios.
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controls daily operations the day-to-day activities that keep the organization humming. Examples of lower-level managers are the warehouse manager in charge of inventory restocking and the materials manager responsible for seeing that all necessary materials are on hand in manufacturing to meet production needs. Most decisions at this level require easily defined information about current status and activities within the basic business functions for example, the information needed to decide whether to restock inventory. This information is generally given in detailed reports that contain specific information about routine activities. These reports are structured, so their form can usually be predetermined. Daily business operations data is readily available, and its processing can be easily computerized. Managers at this level typically make structured decisions. A structured decision is a predictable decision that can be made by following a well-defined set of predetermined, routine procedures. For example, a clothing store floor manager s decision to accept your credit card to pay for some new clothes is a structured decision based on several well-defined criteria: 1. Does the customer have satisfactory identification 2. Is the card current or expired 3. Is the card number 011 on the store s list of stolen or lost cards 4. Is the amount of purchase under the cardholder s credit limit
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Figure 16.12 Achieved throughput of the data traf c versus number of links to be activated: comparison among adaptive selection of MEIs, constant selection of MEIs, and theoretical maximum throughput.
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<xsd:import namespace = "file:///S:/simple-name.xsd" schemaLocation = "file:///S:/simple-name.xsd""/>
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Listing 8.2 FIPA agent messages: Request and agree.
IP2 = 50 dBm 40 Fundamental 20 0 Output Power (dBm) 20 40 1 60 1 80 100 120 60 40 20 0 20 Input Power (dBm) 40 IIP2 2 Pin = 15 dBm Pout = 80 dBm 25 dBm 1 2nd Order IM Product
Evolution of Programming Languages
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