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The RDN of the socks record would reflect the description purple socks, while the location would be drawer2, dresser, bedroom, home. There would be a clear distinction between the socks and the location of the socks. The socks are a possession, while the hierarchy of elements pointing to the location of these socks are something else altogether (let s ignore the fact that you might also own the dresser along with the room and the house). If you had two pair of purple socks, the second pair would have a different name (e.g., purple socks pair #2), or you d have to store them in a different drawer or make sure one pair is always in the laundry. Each DN uniquely identifies an object with the information space of an LDAP server in a manner similar to the way that a fully qualified domain name identifies a unique host on the Internet. For example, the root of an LDAP tree might be expressed like this:

tables .............................................................................................................124 field_types .....................................................................................................124 charset ...........................................................................................................125 collate............................................................................................................125 real_escape ....................................................................................................125 Adding Data to MySQL with WordPress ...........................................................................125 Inserting new data into MySQL ...............................................................................126 Updating data in MySQL safely ...............................................................................126 Retrieving Data from MySQL with WordPress...................................................................127 Retrieving a single value from a table ......................................................................127 Retrieving a column of data .....................................................................................128 Retrieving a row of data...........................................................................................128 Retrieving a full data set ..........................................................................................128 Performing other queries .........................................................................................129 Preventing SQL Injection ..................................................................................................129 Summary ..........................................................................................................................131

Error Probability for Coherent Receivers Antipodal Signaling For antipodal signals, the pairwise error probability is: Prpair (sj , sk ) = Q S (1 Re{ j k }) (12.30) (12.31)

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TABLE 21.4-1 Gateway Control Protocol Descriptors Descriptor Media Stream LocalControl Local Remote Events Signals DigitMap ServiceChange Statistics Packages ObservedEvents Topology Error Function List of media stream speci cations Describes an individual stream in a termination Properties of MG MGC connection Properties of media from far end of connection Properties of media to far end of connection Events to be detected and action required by MG Signals applied by MG to a termination Dialing pattern used by MG to detect digits in blocks rather than individually Describes service change Statistics accumulated by MG for a termination List of packages for termination Report events to MGC Flow direction in a context Error code

While programmatically creating a DataSet provides you with the ability to use a DataSet structure for a variety of tasks, this feature is only extended by the ability to load dataset schema and data from files or any source that serves XML. As was presented in the previous chapter, the DataSet itself can accept only an XML document containing data and then "infer" its schema, or it can accept both data and schema to build its structure and populate it with data. Before you look at how you can load an XML document from code and allow the DataSet to "infer" its schema, look at the following XML document: < xml version="1.0" encoding="UTF-8" > <person> <first_name>Hanna</first_name> <last_name>Grossnicklaus</last_name> <address>123 East Drive St. Louis, MO 63146</address> <gender>Female</gender> </person> This is a simple XML document with no attributes that has a root node called person and four simple elements. The next snippet of code demonstrates loading the XML document into a DataSet: Dim oDataSet As New DataSet() oDataSet.ReadXml("C:\Kevin's Stuff\Book\Samples\Sample.XML") Debug.WriteLine(oDataSet.Tables("person").Rows(0)("first_name").ToString())

These are the five basic commands required to construct a cursor. Add a method to manage the iterative loops and the cursor code is complete.

C:\>ping 192.168.0.6 Pinging 192.168.0.6 with 32 bytes of data: Reply Reply Reply Reply from from from from 192.168.0.6: 192.168.0.6: 192.168.0.6: 192.168.0.6: bytes=32 bytes=32 bytes=32 bytes=32 time=16ms time<10ms time=16ms time<10ms TTL=128 TTL=128 TTL=128 TTL=128

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Certain types of parts lend themselves very well to being built in sections For very complex parts with a lot of features, this sometimes makes sense from the point of view of segmenting the rebuild times for parts with hundreds of features The example used to demonstrate this technique is a large plastic part built entirely from ribs, and making use of literally hundreds of solid bodies This part is molded using pulls in five directions Two of these directions are symmetrical, and the core block pulls in a single direction; as a result, in the end, the modeling has to account for three directions The rebuild time for a model like this can easily reach several minutes, depending on your hardware To minimize the rebuild time, a different workflow was established for this part First, the major inside and outside faces were created with surfaces.

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