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< xml version = "1.0" encoding = "UTF-8" > <xsd:schema xmlns:xsd = "http://www.w3.org/2001/XMLSchema"> <xsd:element name = "computer"> <xsd:complexType> <xsd:complexContent> <xsd:restriction base = "anyType"> <!-- lets define our first attribute --> <xsd:attribute name = "type" use = "required"> <xsd:simpleType> <xsd:restriction base = "xsd:string"> <xsd:enumeration value = "emachines"/> <xsd:enumeration value = "dell"/> <xsd:enumeration value = "compaq"/> <xsd:enumeration value = "gateway"/> </xsd:restriction> </xsd:simpleType> </xsd:attribute> <!-- lets define our second attribute --> <xsd:attribute name = "speed" use = "required" type = "xsd:string"/> </xsd:restriction> </xsd:complexContent> </xsd:complexType> </xsd:element> </xsd:schema>

Customer loyalty, as many companies currently define it, is a flawed metric: It relies only on easy-to-grasp monetary data such as customers' spending habits and order values. Because most businesses focus on these quantitative measures to identify loyal customers, they too often identify only high-transaction customers as loyal ones. A Jupiter Executive Survey found that 63 percent of Web sites define their loyal customer segments-and the subsequent value they place on these relationships-by customers' spending habits and order values. However, customers tend to be loyal to merchants that win their trust over time via a series of positive events, and many satisfied and loyal customers whose spending is not in the high-dollar category can evade a company's radar screen altogether. To more accurately identify loyal customers, companies need to incorporate rich data that provide a broader view of who their customers are, such as behavioral and satisfaction data; just 13 percent of respondents to the survey said they use satisfaction data when identifying loyal customers [see Figure 13.10]. The incomplete approach to identifying loyal customers companies use currently alienates valuable but lower-spending clients who, through their recommendations to others, may provide a low-cost means of customer acquisition.

For more in-depth analysis of various accounting packages, you may want to consult these professional organizations and manuals, some of which offer advice on purchasing software:

SERVER_NAME: the name server host under which the current script is executing. SERVER_SOFTWARE: server identification string. SERVER_PROTOCOL: name and revision of the information protocol via which the page

#define FREESIZE (1<<5) /* size for preserving free blocks until next malloc */ #define FREEMASK FREESIZE-1 static void *flist[FREESIZE]; /* list of blocks to be freed on next malloc */ static int freeidx; /* index of free blocks in flist % FREESIZE */ /* * Allocation of small blocks */ static TREE *List[MINSIZE/WORDSIZE-1]; /* lists of small blocks */ static void * _smalloc(size_t size) { TREE *tp; size_t i; ASSERT(size % WORDSIZE == 0); /* want to return a unique pointer on malloc(0) */ if (size == 0) size = WORDSIZE; /* list to use */ i = size / WORDSIZE - 1; if (List[i] == NULL) {

OFDM symbols. The repeated OFDM symbol is coded to ensure a at power spectral density (without impulses because of repetition) for the transmitted signal. 12.2.6 Coding The MB-OFDM system uses convolutional error correction codes with rates of 1/3, 1/2 and 5/8 in different supported bit rates in order to mitigate distortion caused by the channel. All of these codes are generated from a systematic convolutional encoder with rate 1/3 shown in Figure 12.2. Other coding rates are derived from the rate R 1/3 convolutional code by employing puncturing. Puncturing is a procedure for omitting some of the encoded bits at the transmitter (thus reducing the number of transmitted bits and increasing the coding rate). Decoding is performed with the Viterbi algorithm at the receiver. For the punctured codes dummy zeros are inserted in place of the omitted bits before decoding. 12.2.7 Supported Bit Rates The MB-OFDM system supports bit rates of 53.3, 80, 106.7, 160, 200, 320, and 400 Mbps by changing the coding, frequency spreading, and time spreading rates as shown in Table 12.3. Other optional bit rates, for example 39.4 Mbps and

people, when they see that a stock has made a new high, sell it immediately, then look for a cheaper stock Top Down Trading follow the trend check the main market The speculator must know the overall trend of the market before making a trade the line of least resistance Know if this line of least resistance is upward or downward This applies to both the overall market and individual stocks The basic thing you need to know before making a trade is which way the overall market is headed, up, down, or sideways You have to decide this rst before making a trade If the overall trend of the market is not in your favor, you are playing at an extreme disadvantage, remember, go with the ow, bend with the trend, do not sail into a gale, and most of all .

Financial ratio analysis is a means of determining how well the business is performing. Problem spots can be identified, and groundwork can be established for predictions and projections of future performance. The types of questions include: