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Schema and data visibility (SAD-VIS), 15 16 Schema integration issues, 35, 79, 466 477, 510 centralized implementation of a physical GCS, 467 distributed implementation of physical GCS, 468 GCS creation issues, 469 477 discovery (Step 3.2), 472 export schema generation (Step 2), 470 471 merging (Step 3.4), 474 resolution (Step 3.3), 473 schema integration (Step 3.1), 471 translation to a common data model (Step 1), 469 GCS maintenance issues, 466 469 logical implementation of GCS, 467 maintaining currency for a physical GCS, 467 physical implementation of GCS, 467 Schema translation, 510 Second normal form (2NF), 449 Secondary copy, 292 Secondary Storage, 33 Secure Shell (SSH), 368, 380 Secure Sockets Layer (SSL) protocol, 366 367 Securing communications, 366 368 IPSec, 368 secure shell (SSH), 368 SSL/TLS, 366 367 Uniform Resource Locator (URL), 367 Virtual Private Networks (VPNs), 366 368 Securing data, 368 375 authentication, 368 369 authorization, 368 369 bypassing password for change password, 372 bypassing password for customer login, 371 372 data auditing, 375 data encryption, 369 370 data inference, 374 375 encrypted le systems (EFSs), 369 rewalls, 369 intrusion detection systems (IDSs), 369 lightweight directory access protocol (LDAP), 369 single sign on (SSO), 369 SQL injection, 370 374 unvalidated input, 370 374 vandalizing DDBE, 372 374 Security, 84 Security policy, 567 568, 576 Security Service (Sec-S), 7, 33 Security target, 567, 576 Select operator in RA, 114 Semantic impedance issues, 392 Semantic integrity control, 86 94, 107 distributed, 94 97 compile time validation, 97 postexecution time validation, 97 run time validation, 97 referential integrity, 87 semantic integrity constraints, 88 94 data type, 88

Choose Select Unused Items from the Library options menu. Sort library items by the Use Count column. See Sorting items in the Library panel on page 57.

and is not backward compatible with MGCP. In addition, it does not address MGC-to-MGC protocols. It is reasonable to expect that SIP, SCTP, or BICC (discussed later) will be useful in solving these interworking problems. In addition to supporting SIP, many VoIP-related industry forums and vendors are currently focusing their activities on MGCP and Megaco/H.248. The Multiservice Switching Forum (MSF) and the International Softswitch Consortium (ISC) announced the results of the rst Megaco/H.248 interoperability event held at the University of New Hampshire (UNH) Lab. The event included tests of media ow. Although most of the implementations used the real-time protocol (RTP) on an Ethernet network, one of the MG implementations had an ATM network for media transmission as well. Up-to-date information on ndings and issues discovered during these interoperability studies are available at the websites of MSF (www.msforum.org), and ISC (www.softswitch.org).

Next we analyzed how user interest changed during the course of a week. Figure 5.24 shows a comparison between the amount of noti cation data sent on a weekday versus a Saturday or Sunday. As one would expect, there is a signi cantly difference between the number of stock quote alerts sent during the weekday

study revealed that patients receiving psychotherapy tended to be more improved than those who did not seek psychotherapy about 75% of the time Furthermore, M Smith and Glass examined the treatment outcomes of different types of psychotherapy (eg, behavioral and psychodynamic) and failed to find superiority of one treatment approach over another This comprehensive and extensive investigation contradicted the Eysenck study and provided compelling support for the effectiveness of psychotherapy The M Smith and Glass (1977) study, like the one by Eysenck (1952), became one of the most frequently cited research studies in clinical psychology The M Smith and Glass (1977) study received a great deal of attention and a large response from the professional community Many strongly criticized both the method and the conclusions of the investigation (Eysenck, 1978, 1983; Kazdin & Wilson, 1978; Rachman & Wilson, 1980: Searles, 1985).

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Enterprise performance dashboards consolidate data from various divisions and business segments and provide a holistic view of the enterprise. Such dashboards are mostly for senior management within the company. Enterprise performance dashboards may contain the corporate financial numbers, regulatory checks such as required by corporate compliance laws, supply chain insight, sales performance by region, and key performance indicators (KPIs) for the various business segments within the company. A dashboard that consolidates all of these elements into a few dashboard screens with drill-down into further details within each area would qualify as an enterprise performance dashboard.