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In Web services architecture, depending upon the functional requirements, it is possible to implement the models with RPC-based synchronous or messaging-based synchronous/asynchronous communication models. These communication models need to be understood before Web services are designed and implemented.

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The measured values across each row indicate how much a gene has been expressed relative to some normal expression level within the target cell of the corresponding experiment. In the colored version of Fig. 2.48, the value is mapped to a shade of green if it is lower than expected or to a shade of red if it is higher; black indicates the gene was not expressed at all. Labels along the left and bottom edges of the image map provide meaningful descriptions of the location of the value in the two-dimensional image. Dendrograms along the right and top edges show the results of clustering the rows and columns, respectively. If a column is a carefully designed experiment that measures, for example, the changes of state in the life of a cell or which genes are expressed within a cancer cell line, then the set of values across a row are a pattern of activity for a gene or, if reading down a column, for a cell state or cancer cell line. Clustering rearranges the rows and columns into groups of similar genes (rows), or states or cancer cell lines (columns) that bring together similar patterns of activity. Because the patterns are color-coded, one can easily see variations within and across the groups that give insight into, for example, the function of genes across cell states or cancer cell lines.

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Array& operator+=(const Array&); Array& operator+=(double); Array& operator-=(const Array&); Array& operator-=(double); Array& operator*=(const Array&); Array& operator*=(double); Array& operator/=(const Array&); Array& operator/=(double); template <class Iter> Array& operator+=( const VectorialExpression<Iter>& e) { QL_REQUIRE(size() == e.size(), adding arrays with different sizes ); iterator i = begin(), j = end(); while (i != j) { *i += *e; ++i; ++e; } return *this; } template <class Iter> Array& operator-=( const VectorialExpression<Iter>& e) { QL_REQUIRE(size() == e.size(), subtracting arrays with different sizes ); iterator i = begin(), j = end(); while (i != j) { *i -= *e; ++i; ++e; } return *this; } template <class Iter> Array& operator*=( const VectorialExpression<Iter>& e) { QL_REQUIRE(size() == e.size(), multiplying arrays with different sizes ); iterator i = begin(), j = end(); while (i != j) { *i *= *e; ++i; ++e; } return *this; } template <class Iter> Array& operator/=( const VectorialExpression<Iter>& e) { QL_REQUIRE(size() == e.size(), dividing arrays with different sizes ); iterator i = begin(), j = end(); while (i != j) { *i /= *e; ++i; ++e; } return *this; }

5

< xml version= 1.0 encoding= ISO-8859-1 > <!DOCTYPE ClientConfig PUBLIC -//Sun Microsystems, Inc.//DTD JAXM Client//EN http://java.sun.com/xml/dtds/jaxm_client_1_0.dtd > <ClientConfig> <Endpoint> http://www.wiley.com/jaxmebxml/producer </Endpoint> <CallbackURL> http://localhost:8080/jaxm-jaxmebxml/ebxmlconsumer </CallbackURL> <Provider> <URI>http://java.sun.com/xml/jaxm/provider</URI> <URL>http://localhost:8081/jaxm-provider/sender</URL> </Provider> </ClientConfig>

0 and Day 1, but its classi cation changes to Hardware at the beginning of the day on Day 2. On Day 2 we created a notional cash ow, out of Software and into Hardware, to compensate for the change. If we did not, we would have an incorrect return for both segments: In Software the market value would drop from 10.50 to 0 with no offsetting cash ow, and

Carrier capacity (number of channels) Top baseband frequency (kHz) Allocated satellite BW unit (MHz) Occupied bandwidth (MHz) Deviation (r.m.s.) for 0 dBm0 test tone (kHz) Multichannel r.m.s. deviation (kHz) Carrier-to-total noise temperature ratio at operating point 8 000 + 200 pW0p from RF sources (dB(W/K)) Carrier-tonoise ratio in occupied BW (dB)

As can be seen from the standard output, the <Signature> in transfer_details_signed.xml is validated in two ways. First is the validation of the actual <SignedInfo> element to see if it has been tampered since its creation, and second is checking of the actual data by dereferencing the reference to see if the data has changed since it was signed. And, the output to this validation operation is shown in Figure 13.14. This is how we use SignatureTest and thus, the GenerateValidateSignature utility class. The next section examines the code of both of these Java classes, present in SignatureTest.java.

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