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been added in the order of which they were received. However, with an asynchronous MOM approach this cannot be guaranteed, as new orders could exist in queues waiting to be added to the database. This could result in a temporal inaccuracy of the data in the database. We are not concerned that these updates will not be applied to the database, but that a snapshot of the current database would not accurately re ect the actual state of orders placed. RPC is slow but consistent; work is always carried out in the correct order. These are important considerations for sections in a system that requires data to have 100% temporal integrity. If this type of integrity is more important than performance, you will need to use the RPC model or else design your system to check for these potential temporal inaccuracies. MOM allows a system to evolve with its operational environment without dramatic changes to the application assets. It provides an integration infrastructure that accommodates functionality changes over time without disruption or compromising performance and scalability. The decoupled approach of MOM allows for exible integration of clients, support for large numbers of clients, and client anonymity. Commercial MOM implementations provide high scalability with support for tens of thousands of clients, advanced ltering, integration into heterogeneous networks, and clustering reliability [3]. The RPC model is ideal if you want a strongly typed/Object-Oriented (OO) system with tight coupling, compile-time semantic checking and an overall more straightforward system implementation. If the distributed systems will be geographically dispersed deployments with poor network connectivity and stringent demands in reliability, exibility, and scalability, then MOM is the ideal solution.

5. If you are working on a slice, select the Simple Rollover or Swap Image behavior. If you are working on a hotspot, choose the Swap Image behavior (Simple Rollover is not available for hotspots).

Body tags. A body tag consists of body content that is written between the start and end tags. The syntax of the structure of a custom tag with a body tag can therefore be represented as the following:

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First, the test is vulnerable to false-positive errors, that is, the false accusation of innocent suspects Introducing CQT verdicts in criminal courts could thus result in a substantial number of innocent suspects being falsely convicted Second, the CQT has a weak theoretical foundation CQT proponents seem to acknowledge the theoretical problems with their test, but believe that it is acceptable to use a test without having a complete understanding of the underlying theory (Raskin & Honts, 2002) I think this point of view is problematic The bene t of a sound theory is that someone can predict when a test does and does not work Take for example the X-ray equipment used in airport security screening Since there is full understanding about how materials are represented in X-ray images, one can accurately predict how different types of material show up on the X-ray screens.

At the end of the first iteration, the parity check condition is not satisfied. The algorithm runs through two more iterations (not shown here). At the end, the decoded value

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One of the banes of working with multiple environments across the Web has been that it has been impossible to generate true programmatic experiences across such systems. In other words, if you want to create an executable program that works across the Internet, you have to make sure each computer accessing the program has a browser plug-in installed. Web services were introduced to try to counter that problem by allowing developers to create function calls across the network without interference from rewalls and without regard to the kinds of software environments on either the receiving or transmitting end. This is accomplished by placing the function calls within XML-based documents using formats such as SOAP and WSDL.

A classi cation model is built to assign observations into two or more distinct categories. For example, a classi cation model may be built to estimate whether a customer will buy or will not buy a particular product. In another example, a classi cation model may be built to predict whether drilling in a particular area will result in nding oil or not. In Figure 7.1, a set of observations are plotted using two variables. The points in light gray represent observations in one class (Class A) and the darker gray points represent observations in another class (Class B). The objective is to build a model

Without a theory, no predictions can be made Perhaps certain people are at high risk of failing the CQT, thereby increasing the likelihood that they will be falsely accused, and perhaps others are at low risk of failing the CQT, thereby increasing the likelihood that they will be undetected Also, perhaps the CQT is more suitable to use for some types of crime than for other types of crime Without a theory we do not know Apart from not having met the Daubert criteria, the second reason why CQT outcomes should not be admissible in criminal courts is that it is not standardised (Ben-Shakhar, 2002; Ben-Shakhar, Bar-Hillel, & Lieblich, 1986) The CQT is not an objective test, and, for example, CQT outcomes can be in uenced by the beliefs examiners have about the guilt of examinees prior to the test.

1. In the CSS Styles panel, right-click (Control+click) the #listnav a:hover style and choose Duplicate from the context menu. 2. In the Duplicate CSS Rule dialog box, enter #sellistnav a:link, #sellistnav a:visited, #sellist a:hover in the Selector field. 3. When you re finished, click OK to close the dialog.

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