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wheel (red, orange, yellow) appear in shades of red or orange. Cool colors green, blue, and violet appear in shades of white, yellow, purple, blue, and light blue. By default, colors in the result composition tend to feature more warm than cool colors, but you can offset the color mapping by using the Palette rotation spin box. Figure 22-6 shows a drawing where the brown waffle cone is mapping to blues and violets (cool colors) with the wavy line Heat Map lens shape above it. In contrast, the orange and yellow spiral pattern in the background maps to red in the yellow areas, making a transition to violet where the spiral runs to orange and red. This is an effect that you really need to experiment with on your own, and you should scout down a lot of clients who have a need for simulated infrared photograph! When you use the Palette Rotation spin box, values between 0 and 49 usually cause colors to appear warmer, and values between 50 and 100 cause colors to appear cooler.
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How common is fallopian tube cancer Primary carcinoma is very rare, accounting for 0.3% of primary gynecologic malignancies. Secondary carcinoma from metastases of ovarian, endometrium, gastrointestinal (GI), or breast cancers are more common A mutation in the BRCA1 or BRCA2 gene. Women with these mutations who are planning prophylactic oophorectomies should also have their oviducts removed Papillary serous adenocarcinoma Adenosquamous carcinoma and sarcoma It spreads through the tubal ostia into the peritoneal cavity and also through lymphatics to the para-aortic and pelvic lymph nodes Ovaries, uterus, and pelvic and para-aortic nodes A woman between the ages of 40 and 60 who presents with Latzko triad: serosanguineous vaginal discharge, pelvic pain, and pelvic mass. However, this triad is seen in less than 15% of patients The spontaneous or pressure-induced release of clear or blood-tinged vaginal discharge followed by shrinkage of an adnexal mass and relief of cramping pain. It is pathognomonic for fallopian tube cancer
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The concept of data independence emerged to alleviate problems with program mainte nance. Data independence means that a database should have an identity separate from the applications (computer programs, forms, and reports) that use it. The separate identity al lows the database definition to be changed without affecting related applications. For ex ample, if a new column is added to a table, applications not using the new column should not be affected. Likewise if a new table is added, only applications that need the new table should be affected. This separation should be even more pronounced if a change only af fects physical implementation of a database. Database specialists should be free to experi ment with performance tuning without concern about computer program changes. In the mid-1970s, the concept of data independence led to the proposal of the Three Schema Architecture depicted in Figure 1.12. The word schema as applied to databases means database description. The Three Schema Architecture includes three levels of database description. The external level is the user level. Each group of users can have a separate external view (or view for short) of a database tailored to the group's specific needs. In contrast, the conceptual and internal schemas represent the entire database. The conceptual schema defines the entities and relationships. For a business database, the con ceptual schema can be quite large, perhaps hundreds of entity types and relationships. Like the conceptual schema, the internal schema represents the entire database. However, the internal schema represents the storage view of the database whereas the conceptual schema represents the logical meaning of the database. The internal schema defines files, collec tions of data on a storage device such as a hard disk. A file can store one or more entities described in the conceptual schema. To make the three schema levels clearer, Table 1.4 shows differences among database de finition at the three schema levels using examples from the features described in Section 1.2. Even in a simplified university database, the differences among the schema levels is clear. With a more complex database, the differences would be even more pronounced with many more views, a much larger conceptual schema, and a more complex internal schema. The schema mappings describe how a schema at a higher level is derived from a schema at a lower level. For example, the external views in Table 1.4 are derived from the tables in the conceptual schema. The mapping provides the knowledge to convert a request using an external view (for example, HighGPAView) into a request using the tables in the conceptual
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Remember the private addresses listed in Table 23-1. Private addresses are a scheme developed by IETF to overcome the limited number of available public IP addresses; however, private addresses cannot be placed in
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Introducing the Standard Template Library
Multidimensional Indexers
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