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transition. In other words, the area under the heat capacity curve is the enthalpy change for the melting transition. To see if each peak in the melting profile represents a two-state transition, we fit each peak in the experimental melting curve with a heat capacity curve calculated from the following partition function: Z = 1 + e RT +

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An application client module contains Java classes that can be executed in a Java SE environment on the client tier. The application client container is a lightweight Java EE container that supports injection and provides persistence, security, and messaging services, among others. It does not provide many of the services that are available from the middle-tier Java EE containers. The deployment descriptor for an application client module resides in META-INF/ application-client.xml, and, like the other Java EE module deployment descriptors, is optional in Java EE 5.

Shared classes or other resources that your modules require at run time can be packaged into library components. Libraries may either be installed in the application server (the process of installing a library is not described here) or bundled inside your EAR or WAR file. Any JAR-format file embedded inside an EAR whether a Java EE module or a bundled library archive may reference a bundled library component, using the Class-Path property in the META-INF/MANIFEST.MF file.

Relative to the exact model, the error in natural frequency prediction for the three approaches is about 42 percent, 003 percent, and 51 percent, respectively While none of these simpli cations give exactly the same result as the exact model, all are close and the error involved in approach 2 is below the error introduced by any reasonable measurement system Strictly speaking, all of these simpli cations are wrong in that they do not precisely predict the natural frequency Nevertheless, they are useful since they reduce complexity, produce reasonable approximations, and demonstrate which physical parameters are signi cant in determining the natural frequency of the body mode For instance, it is much clearer from these simple models that the sprung mass and the suspension spring stiffness are the major determinants of the body mode natural frequency.

// Demonstrate multicasting. using System; // Declare a delegate type. delegate void StrMod(ref string str); class MultiCastDemo { // Replaces spaces with hyphens. static void ReplaceSpaces(ref string s) { Console.WriteLine("Replacing spaces with hyphens."); s = s.Replace(' ', '-'); } // Remove spaces. static void RemoveSpaces(ref string s) { string temp = ""; int i; Console.WriteLine("Removing spaces."); for(i=0; i < s.Length; i++) if(s[i] != ' ') temp += s[i]; s = temp; }

Note Whenever a JAR file is referenced through a Class-Path entry, only the classes in the referenced JAR file are recognized by the deployment tool. In particular, any descriptor files found in the referenced JAR file will be ignored.

While it would be possible to choose the equivalent mass above and then choose an equivalent stiffness that produced a value numerically equal to the exact natural frequency of the body mode, this stiffness would lose its connection to physical parameters Hence its usefulness as a design tool would be reduced and the model would be valid only for the one speci c system for which it was developed The fact that the three approaches above all produce similar results provides some measure of con dence in removing the tire degree of freedom In this case, it follows from the fact that the tire mass is an order of magnitude smaller than that of the body, while the tire stiffness is about an order of magnitude larger Hence, assuming that the mass is zero or the stiffness is in nite are both reasonable assumptions to make.

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