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2.5 The definition of an equity instrument is brief and succinct, but the definitions of financial asset and financial liability are more complex. Summaries of the IAS 32 definitions for those terms follow. Financial asset. Any asset that is (a) Cash; (b) An equity instrument of another entity; (c) A contractual right to receive cash or another financial asset from another entity, or to exchange financial assets or financial liabilities with another entity under conditions that are potentially favorable to the entity; or (d) A contract that may or will be settled in the entity s own equity instrument and is not classified as an equity instrument of the entity (discussed below).

Every register has a share named cpos (common point of sale) that keeps logs for every credit card and debit card transaction for a week. Included in these logs is not only the credit card number and cardholder name for every transaction, but also a raw dump of the card s entire magnetic strip for reasons unknown. The exact location of these logs on the share is \app\ej_backup\. All registers follow the naming convention TxxxxREGyyyy where x is the store number and y is the register number. This convention is used company wide, and any workstation can connect to any register at any store. I do not have much experience writing DOS batch files, but I managed to put together a simple batch file that connects to a register, passed as an argument, grabs all of the credit/debit logs, and strips out the account number and customer name.

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With these preferences and ownership of a Lexus, I would pay to swap for your BMW, pay again to swap the BMW for your Cadillac, and then pay a third time to swap the Cadillac for the Lexus I originally owned By this time I should realize there was something wrong with my preference structure The equivalence rule sets up a situation with three outcomes, A, B, and C, where A is preferred to (W) B, and BWC This rule states that there is some lottery containing a probability, p, of obtaining outcome A and a probability of (1 p) of obtaining C that will make us indifferent to obtaining outcome B for sure The substitution rule states that we are willing to substitute any combination of outcomes in a decision-making situation if we are indifferent between them This is just the operational de nition of equivalence.

There is a physical upper limit on the ability of a receiver to differentiate between the valid signal and the background noise present in the environment. This is referred to as the signal-to-noise ratio. There is a point at which the noise energy becomes sufficiently large so as to make recovery of the valid data signal impossible. When you're driving in your car and you're going away from your favorite radio station, the signal you receive gets weaker with distance. In addition to hearing your favorite song, you also hear noise and static. There is a point at which the noise and static becomes too distracting and you can't hear enough of the song to sing along. The signal-to-noise ratio has reached the point where the intended signal can no longer be extracted from the noise. In the RF data transmission world, the fastest data rate that can be extracted from the background noise can be calculated using Shannon's Channel Capacity Theorem.

Finally, suppose we have two alternatives, each with exactly the same outcomes, and the probabilities of the outcomes are the same for all but two If one of the alternatives has a higher probability associated with the outcome that is most preferred, then we should be happy to choose this alternative This is the choice rule Given these four rules plus the axioms of probability theory, a normative theory of decision making results that dictates the maximization of expected utility Utility in this case needs to be measured on an interval scale; an interval scale preserves equal intervals of measure and can be multiplied or divided by a constant and can have a constant added or subtracted from it A ratio scale of.

Today, humans are required to process the information culled from Web (Internet) resources to determine ultimately its meaning and relevance (if any) for the task at hand Sweb technology would move some of that processing into software Some writers want to (and often do) call such semantic processing simply AI But after more than half a century of shifting expectations and broad popularization, the generic term AI seems too loaded with old baggage and popular misconceptions to use without further quali cation For now, a better approach is to use more neutral and speci c terms (such as business logic or semantics ) when discussing processing functionality in the context of the Semantic Web Reasoning aside, we are not as yet dealing with any sort of thinking software in the popularized self-aware AI sense.

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