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n Automatically generate names for referenced geometry: When you turn this option on, it creates names for geometry used in mates, and thus requires write access to the parts being mated. The default setting is off, which is best unless you plan to replace parts using named entities. Naming is done through the Properties for each entity, such as face, edge, vertex, and so on. Default is off. n Update component names when documents are replaced: This option should remain with the default setting (on) unless you use Component Properties to assign names to parts that are to be used in the assembly tree. Be aware that SolidWorks Routing disables this option. Default is on. n Do not create references external to the model: This option applies to in-context references such as converted edges and feature end conditions. When you select this option, offset or converted sketch entities will be created without relations, and extrude up to features and offset surfaces will be created with broken references. This option is also available as a toolbar button on the Assembly toolbar, so it can be controlled on the fly. Default is off.
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At the time of this writing, third party support for Web Slices is on the light side, but some of the Microsoft slices like Live Search Weather and Live Search Traffic are quite good. But some are horrible: The Hotmail Service Web Slice actually throws up a small advertisement, too. Yuck. You can check out Microsoft s collection of Web Slices on the IE Add ons Web site at
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Proper handling of changes to dimension data can be a complex topic, but it boils down to how the organization would like to track history. If an employee changes her last name is it important to know both the current and previous values How about address history for a customer Or changes in credit rating Analysis Services will faithfully reflect changes made to the data in a dimension table whenever the dimension is processed. It has no facility to track the history of changes to a dimension beyond the history that is tracked in underlying dimension tables. Following are the four common scenarios for tracking history in dimension tables: Slowly Changing Dimension Type 1: History is not tracked, so any change to dimension data applies across all time. For example, when the customer s credit rating changes from excellent to poor, there will be no way to know when the change occurred or that the rating was ever anything but poor. Such tracking makes it difficult to explain why the customer s purchase order was accepted last quarter without prepayment. Conversely, this simple approach will suffice for many dimensions. When implementing an Analysis Services database on OLTP data instead of a data warehouse, this is usually the only option available, as the OLTP database rarely tracks history. Slowly Changing Dimension Type 2: Every change in the source data is tracked as history by multiple rows in the dimension table. For example, the first time a customer appears in OLTP data, a row is entered into the dimension table for that customer and corresponding fact rows are related to that dimension row. Later, when that customer s information changes in the OLTP data, the existing row for that customer is expired, and a new row is entered into the dimension table with the new attribute data. Future fact rows are then associated with this new dimension table row. Slowly Changing Dimension Type 3 : Combines both type 1 and 2 concepts, whereby history on some but not all changes is tracked based on business rules. Perhaps employee transfers within a division are treated as type 1 changes (just updated), while transfers between divisions are treated as type 2 (a new dimension row is inserted). Rapidly Changing Dimension : Occasionally an attribute (or a few attributes) in a dimension will change rapidly enough to cause a type 2 approach to generate too many records in the dimension table. Such attributes are often related to status or rankings. This approach resolves the combinatorial explosion by breaking the rapidly changing attributes out into a separate dimension tied directly to the fact table. Thus, instead of tracking changes as separate rows in the dimension table, the fact table contains the current ranking or status for each fact row. While managing dimension change must be handled in the warehouse, the Dimension Wizard can assist in creating a dimension table to support type 2 functionality. Build a dimension without using a data source, and then specify that it will be a changing dimension. The wizard will configure columns to use in maintaining history: A primary key configured as an IDENTITY column, sometimes called a surrogate key, which will be used to relate back to the fact table
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SELECT PersonID, Generation, FamilyLine FROM #FamilyTree Order by FamilyLine
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When working with motion in SolidWorks, you need to be comfortable with degrees of freedom. When inserted into an assembly, each model has six degrees of freedom: n Translation in X (tX) n Translation in Y (tY) n Translation in Z (tZ) n Rotation about X (rX) n Rotation about Y (rY) n Rotation about Z (rZ)
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Source: Courtesy of Olin Corporation
Once the location of the simulated interaction is determined from Equation (6.1.1a) and (6.1.1b), the next step is to choose the atom type for the subsequent interaction. In case N different atomic species constitute the sample material in this location, each present with a weight fraction of wi and mass absorption coef cient an i interaction with an atom of species 1 k N (atomic number Zk ) is chosen by means of a random number R so that:
Figure 5.6.6 Reverse osmosis (RO) membranes. Comparison between (from top to bottom) surface images, cross-sections and EDS-spectra of (from left to right) an unused membrane, a fouled membrane and a fouled pilot membrane, all of the same type. Reproduced by permission of Springer-Verlag Wien
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