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Separate tables are set up for the PERSON and ORGANIZATION subtypes instead of implementing a PARTY table This helps performance because the number of rows in each table is far less than one big PARTY table The disadvantage is that when either a person or an organization is related to another entity, such as the relationship to CUSTOMER or relationships from both people and organization to ORDERs, then the design is more complex, and the resulting system tends to be complex For example, the application would have to reference either a PERSON or ORGANIZATION that is related to the ORDER and applications would need additional logic instead of simply showing the PARTY that was related to the order Separate tables are also set up for some of the PARTY ROLEs such as EMPLOYEE and CUSTOMER.

treatment methodologies based entirely on the theoretical understandings of one treatment guru. There may be far less risk associated with some evidence for efficacy than for no evidence of efficacy at all.

These measures are used in counselling and therapy, where they are likely to be just one of many information sources which the interviewer has about the interviewee. I don t cover them herein. That s because I m wary of making statements about an interviewee ( he has a cognitively complex way of thinking about this issue; she construes in a differentiated way ) on the basis of just one grid elicited from that person, with no other information or personal

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This is a very practical implementation because most of the PARTY ROLEs are viewed as needing their own tables by most application development efforts Even though there is a separate CUSTOMER and EMPLOYEE table, the holistic, integrated perspective is preserved because each of these tables is linked to the PERSON and/or ORGANIZATION that plays the role Therefore, a PERSON could still play multiple roles without storing that person's information redundantly In this example, the PERSON could act as a CUSTOMER or could act as an EMPLOYEE, which would be valuable to know Perhaps EMPLOYEES that are CUSTOMERS are entitled to special considerations such as discounts, or perhaps they are, at least, given special courtesies.

(A2.6)

Each CUSTOMER has its own customer id and certain information that is unique to the CUSTOMER role such as last contact date, which is the last date that the customer was contacted by anyone in the enterprise The BILL TO CUSTOMER and SHIP TO CUSTOMER subtypes were converted to a customer type id foreign key to the CUSTOMER TYPE table, indicating if the CUSTOMER TYPE description is "bill-to customer" or "ship-to customer" This is an example of using the first subtype implementation option because there is one table for the supertype and the subtypes (The entire supertype with its subtypes may be implemented as a single table) Each EMPLOYEE has its own employee id as well as information that is appropriate to maintain for that specific role For instance, the enterprise has deemed that the social security number and mother's maiden name will be maintained only for employees.

Attributes about people that are needed in more than one role are maintained in the PERSON table This preserves the holistic principle that information about people should be stored once and not redundantly duplicated for each role they play For instance, the current first name, current last name, current middle name, alias name, preferred name, and birthdate of a person may be needed for many different roles and in many different applications Rather than repeat this information, for instance, by storing the employee name and the customer name in the CUSTOMER and EMPLOYEE tables (and.

A wireless sensor network (WSN) with multiple sinks can be divided into subnetworks, each of which is composed of a single sink, data sources reporting to the sink, and sensors relaying messages for the sources. Sensors that appear in more than one such subnetwork will consume energy for all their participating subnetworks. Hence, without loss of generality, we investigate theoretical aspects of the energy hole problem, that is, the uneven energy depletion phenomenon, in single-sink WSNs. We will establish power consumption models for sensor-to-sink communication. Because exact energy usage prediction is not possible due to network diversity, uncertainty, and dynamics, the models to be presented below are obtained through reasonable approximation. We rst present network models and assumptions; then we establish the energy consumption models in two different network scenarios, where sensors have xed or variable transmission radius respectively. For these two scenarios, we also show how to balance energy usage by applying nonuniform sensor distribution or adjustable transmission radii. The content of this section is based on Olariu and Stojmenovic (2006).

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