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The whole vision of Web services was conceived with the notion of interoperability between different applications running on disparate systems. As the plumbing of the Web services was being figured out, a major development also was taking place that supported the idea of making disparate security systems interoperate with each other. Two main standards, Security Services Markup Language (S2ML) and Authentication Markup Language (AuthML), were committed toward making different security systems talk to each other meaningfully the latter was mainly focused on making security systems exchange authentication-related information among themselves. SAML was the result of merging these two parallel efforts into a single technology. This merging took place when both of these specifications were submitted to the Organization for the Advancement of Structured Information Standards (OASIS) by respective organizations: S2ML from Netegrity and AuthML from Securant Technologies. In order to refer to the SAML specification page hosted by the OASIS Security Services Technical Committee, visit the OASIS Web site at www.oasis-open.org/ committees/security/. As of this book s writing, the SAML specification set has already reached the committee specification level. SAML is a technology resulting from the increased trend toward sharing information among different organizations. Although the base technologies behind Web services facilitate this trend of inter-organization distributed computing, there had been no standard way of sharing information java gs1-128 Generate EAN - 128 ( GS1 - 128 ) barcode in Java class using Java ...
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Java library for GS1 data structures commonly used in barcodes , such as GTIN, GLN, SSCC ... Provides parsing of element strings used in GS1 - 128 barcodes . When Excel evaluates this formula, it first evaluates the formula named InterestRate (which exists only in memory, not in a cell). It then multiplies the result of this named formula by 1.05 and displays the result. This cell formula, of course, is equivalent to the following formula, which uses the actual cell reference instead of the name: Rembrandt/45 We will discuss the reason for using the benchmark weight rather than the fund weight in the section on the interaction effect, but in this example it is not relevant which weight we use, because the fund and index segment weights are the same. Exhibit 18.3 shows the calculation of the security selection effect for our sample fund. Here we earned a higher return than the benchmark in Japan because of our overweight in the better performing stock during the period. We take the return differential and weight it by the proportionate weight of Japan within the index in order to derive the value added due to security selection equal to 0.40%. EXHIBIT 18.3 java gs1 128 GS1 - 128 Generator for Java , to generate & print linear GS1 - 128 ...
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