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In many Web applications, there is a need to apply pre- and postprocessing of requests and responses. Preprocessing includes functionality such as making sure that the user is authenticated or logging the request for analysis. Postprocessing examples include things like applying XSL transformations to the response. Often this code is put into a servlet s doGet or doPost method. It is also common to find this code in a utility class that is called by the servlet. This was a great approach to achieve pre- and postprocessing under older versions of the servlet specification. However, in the 2.3 version of the specification, filters were introduced. With the introduction of filters, some of the old patterns have become AntiPatterns because the old approach caused added complexity and maintenance overhead to the code. Filters and the deployment descriptor support for them allow the process (when and in what order the pre- and postprocessing is applied) to be captured once instead of being embedded in each servlet. In addition, the code for doing the pre- or postprocessing is captured once in the filter implementation instead of being essentially copied and pasted to several places.

The application may need to be deployed in an environment that levies specific requirements on the topology of JNDI trees either because of standards or because of a need to avoid naming collisions with other application components An application suffering from this AntiPattern would not be suitable in such environments, thus limiting its overall reusability Widespread breakage Another consequence of ignoring this AntiPattern is widespread breakage throughout the application, which could lead to a lack of user confidence in the application and its sponsors and developers..

In the middle of musing about the results of including another file, the file itself is pasted in place by the include directive. It's as if you now have the following new JSP page:

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dented drawdown, you will not be around long enough to become profitable Ability to be comfortable with 1 to 5 percent of trades executed generating most profits This realization is closely linked with one of the primary rules of mechanical trend trading: Never miss a trading signal This means no vacations from trading ever Eliminate the top performers from your backtested history (see Table 312) and you will quickly recognize that vacations and mechanical trend trading do not mix Also, since 1 to 5 percent of trades will generate the majority of profits, trading systems must include a reentry mechanism if the trend reasserts itself Psychological reminder to help with this problem: Examine your system s historical performance excluding these topperforming trades Willingness to stay with open positions for weeks to months Trend traders succeed because they know how to let small profits grow large.

Other Corba components 3. Client uses the handle to invoke remote service 3 Client 4 4. Server replies back to Client

The variance of the analysis results across the multiple imputed data sets provides an estimate of the imputation error (cf. Rubin, 1987). The appropriate formula is T U 1 m 1 B ; 9:15

i) = 0, for the SEE working covariance structure: SEEII-ORf(age): SEE with a working odds ratio modelled as a function of an individual s age group by log(

This entails a willingness to stay with open positions for weeks or even months Psychological tools to help with this issue: Stay away from the computer screen during trading hours (especially during the early stages of your career as a trend trader) Trade around the core position this helps with the psychological problem of thinking you need to earn your pay by being active while not sacrificing your position By adding a second contract and/or trading around the core position, you guarantee participation in the trend and can satisfy the psychological need to be active Of course, the caveat to trading around the core position is that the addition of this second contract should not result in large percentage drawdowns Ability to be comfortable with slower, more analytical trading processes Many trend trader personality types feel overwhelmed at the prospect of making numerous decisions throughout the trading day.

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