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The House of Lords overruled the Appeal Court but its decision has been heavily criticised as being based more on the likely nancial and resource issues than ethical treatment, particularly in relation to the probable costs in relation to people with dementia (Shah et al, 1999; Mukherjee and Shah, 2001; Jacoby, 2002) A similar judgement to that of the English Court of Appeal was made in Zinermon v Burch ((1990) 494 US 113) by the US Supreme Court (Poythress et al, 1996) In most jurisdictions it is now considered that the functional approach must be taken with respect to treatment decisions (Wong et al, 1999) and this means that the person in question must be able to understand what he or she is consenting to, must be able to remember the information, appreciate that it applies to him or her and weigh the.

A fundamental problem of an approach that tries to discover the causal structure with conditional independence tests is that the d-separation criterion does not says anything about the dependence or independence of two sets X and Y of attributes given a third set Z if X and Y are not d-separated by Z This suffices if a Bayesian network is constructed for a given domain, since for applications it is not essential to find and represent all independences (cf 4) However, we need more to identify a causal structure, because we must be able to infer something about the causal structure from a conditional independence statement, which we cannot do if we do not know whether this statement is represented by d-separation in the causal structure or not.

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1 is only to highlight the performance of our design strategy with respect to what is described in the work by Lee and Stinson [28] and that is why we present a design with average number of common keys between any two nodes 1 However, we will present a practical scenario in the next subsection where there are more number ( 5) of common keys (on an average) between any two nodes and consequently the design achieves much less Fail(s) values One more important thing to mention is that we consider the average case analysis for our strategy The worst-case situation will clearly be worse than the average case, but that is not of interest in this context as we will rst try to get a merging con guration that is close to the average case.

You may have figured out that you do not write code that implements the methods in the EJB and home objects. The EJB container generates the code that implements these methods. The container provider includes tools that automatically generate the required code. Actually, you may never see the EJB and home objects, nor should you. The EJB specification describes the endproduct of the code generated by the container, not the process or details. All you need to do is invoke the methods guaranteed by the interfaces to remotely invoke methods in your beans. How does a client program create objects on a server Operations involving the life cycle of server-side beans are the responsibility of the EJB container. The client program actually contacts the container and requests that a particular type of object be created, and the container responds with an EJB object that can be used to manipulate the new EJB component. How does the container know what method of the enterprise bean to invoke when a client invokes a method from the home or remote interface Before this question can be answered, a discussion about the creation of the bean class is in order.

In order to cope with this problem it is assumed that in a (sampled) probability distribution p of the domain under consideration there exist exactly those (conditional) independences that can be read from the causal structure using d-separation This assumption is called faithfulness (also known as stability) [Pearl and Verma 1991a, Pearl 2000, Spirtes et al 2001] and can be formalized as (X p Y | Z) (Z d-separates X and Y in the causal structure) Obviously, the faithfulness assumption is equivalent to the assumption that the causal structure of the domain is a (directed) perfect map3 of the (conditional) independence statements that hold in this domain Note that the faithfulness assumption implicitly asserts that there is no correlation without causation (also known as Reichenbach s dictum), because it assumes a (direct) causal influence between any two variables that are dependent given any set of other variables.

Action Creates a reply to the currently selected message and automatically fills in the To field with the address of the original sender. As with the R shortcut, pressing L creates a reply to the currently selected message but goes further in that it automatically fills in both the To field and the Cc field with all of the original recipients of the original message. This is commonly referred to as a Reply to All. Creates a new message based on the original, which will be forwarded to a recipient of your choosing. Because the To field is initially empty, you are required to use the Select Address screen, where you may add one or more recipients for the new message.

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