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Diabetes Cookbook For Canadians For Dummies 2: You Are What You Eat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Perhaps the number one difference between academic nance and real nance is that you absolutely must incorporate abstruse analytics in the former case, while that is certainly not a requirement at all in the latter That is, profs are much more pedantic, and quite likely utterly unnecessarily so Finally, a crucial divergence between quants and nance profs concerns computer programming, both its use and its dominance To put it bluntly, you can t be a quant if you can t code (C++ much preferred) To put it blunter, you would be hard-pressed to nd a nance academic who can code (particularly in C++) Take a quick look at graduate programs in quantitative nance and those in nancial economics; what s the number one unsameness The ridiculously ubiquitous presence of computer programming courses in the former, and their conspicuously abrasive absence in the latter.

0.98** (0.33) 1.12** (0.39)

Software applications for electronic commerce have constituted a strategic element for Internet business in recent years. Security for these applications is essential in order to obtain the con dence of users and companies involved, and special care must be taken with authentication, con dentiality, and integrity of data and transactions. However, guaranteeing practical security on Internet applications has been traditionally dif cult, because of the unreliability of the environments in which those applications are executed, or the mobility requirements for users and servers that need to interchange sensitive data, like credit card numbers or data for bank transfers. Smart cards have become key elements to accomplish security requirements for these applications (see 15). As exible and tamper-proof-resistant computational devices, smart cards combine their storage capabilities along with the execution of secure applications inside them [7], also performing cryptographic operations with the aid of a crypto-coprocessor. These hardware devices, used within e-commerce applications, avoid the exposure of sensitive data, private keys, or cryptographic routines to external attackers that could compromise or manipulate the off-card application itself, when running over hostile environments. For example, smart cards are well suited for public key cryptosystems [3]. The use of a public/private key pair requires the use of such cards, because private keys need to be stored and used within a trustworthy environment. Note that it is not the case for a normal PC operating system. It might seem that the need for the card to be physically connected to the host in which the application uses it comprises additional security enforcement. However, it limits the conception of new uses for these devices within distributed environments. Traditionally,

For all servers, network elements and set top boxes, patch implementation is one of the most critical activities to maintain a secure environment. Security professionals must have a lab to test all recommended patches in a live environment and sign off the implementation of patches. Within set top boxes it is critical to ensure that changes will not affect the operation of the service. Different hardware models must be replicated in the lab environment. Operating systems tend to include a large number of services that are not essential for the operation of the services. Set top boxes using open-source operating systems tend to have

This discrepancy goes to the heart of what quants.

Figure 15.5 shows the Lohmann hologram generated with Method 2 discussed above with 16 levels of quantization. Figure 15.6 shows the simulated reconstruction. The twin images are clearly visible. The 512 512 gray-scale image shown in Figure 15.8 was also experimented with.

Continuous, mechanical additions to an initially small Web Service. An initial, modest Web Service is implemented, and serves as the basis for subsequent additional external operations. However, developers may follow a somewhat mechanical process to create the new operations (for example, mechanically repeat the same development process) and simply extend the Web Service. Without an initial or refactored idea of what distinct Web Service abstractions should be produced, a mechanical approach may simply extend the Web Service.