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Computational Grid in database and knowledge base management, 639 with Globus Toolkit, 656, 657 Computational services, in grid computing, 654 Computed radiography (CR), 12, 68, 46, 74, 317 320. See also CR entries; Imaging plate technology background removal in, 83 Computed radiography system advantages and disadvantages of, 83 block diagram and principle of operation of, 76 data ow of, 78 operating characteristics of, 76 81 Computed radiography units in clinical environment work ow studies, 863 864 human errors at, 615 618 Computed tomography (CT), 109. See also CT entries; Multislice entries; Transmission X-ray computed tomography (CT) convention X-ray, 113 114 multislice, 117 120 spiral (helical), 114 Computed tomography images archiving of, 562 563 CAD in detecting small acute intracranial hemorrhage in, 777, 784 794, 794 800 in cost analysis. 560 data ow of, 282 in external beam radiation therapy, 710, 711 under Hong Kong Hospital Authority, 511 512, 513, 514 with LDSERS, 546 548, 550 PACS bottlenecks related to, 621, 622, 623 624 in PACS ef ciency analysis, 592 in PACS implementation, 575 procedure errors related to, 618 619, 620 621 in radiation therapy, 709 Computer-aided detection/diagnosis (CADe/CADx), 28 Computer-aided detection (CADe; CCAD), 83, 775 with CAD without PACS and without digital images, 779 781 with CAD without PACS but with digital images, 780 781 Computer-aided diagnosis (CAD), xliv, 378, 631, 775 806. See also CAD entries in bone age assessment, 823 in database and knowledge base management, 641, 643, 645 646 described, 775 776 in detection of small acute intracranial hemorrhage on brain CTs, 777, 784 794 evaluating for acute intracranial hemorrhage, 777, 794 800, 800 801 integrating with DICOM PACS or MIII, 777 778, 779, 780, 781 784, 800, 807 859

. . .

is subsequently minimized with respect to t, this is ordinary least squares estimation of the parameters 0 from independent observations w = (wi . . w h ) T with equal variance u2 . and expectations g (0). Then, Theorem 5.6 applies. Therefore, the least squares estimator of 8 is asymptotically normally distributed with covariance matrix

The Query Browser provides tools you can use to build a complete database. Take a few minutes to practice by building a small test database.

mysql> SHOW TABLES; +----------------------+ | Tables_in_mydatabase | +----------------------+ | fruit | +----------------------+ 1 row in set (0.00 sec)

I . .

The advantage of using the FILTER command over Quick Select is that you can create morecomplex filters and save them. To create a filter, type filter on the command line to open the Object Selection Filters dialog box, as shown in Figure 10-42. If you ve already chosen a command, type 'filter at the Select objects: prompt to create the selection filter transparently. The box at the top of the dialog box lists the filters that you specified.

Despite the fact that near infrared spectroscopy (NIR) has been used industrially for decades [36], there has been hesitance to accept and trust new process analytical measurement technologies as equivalent or superior to traditional methods For example, when a discrepancy between online NIR and laboratory analyses is observed, it is rare that the destructive reference methods are ever targeted as the source of error, despite the fact that NIR is often the more precise method The hesitance to trust more advanced, multivariate tools (which are perhaps less directly understood) has certainly been a detriment to progress in deploying PAT Similar concerns persist with regard to chemometrics (multivariate data analysis), information technology (IT), and advanced controls One reason for such behavior may be the practice of calibrating and validating PAT sensors by correlating their signals to traditional, laboratory-based reference methods and characterizing performance in terms of prediction error [37 39].

The Shifts table is similar to the TimeEntries table except it doesn t have a PaidDate eld. Its EmployeeId, Date, StartTime, and StopTime elds make up its primary key. EmployeeId is a foreign key constraint referring to the Employees table, so it is completely constrained. The table should also contain the following eld-level sanity check constraints: Date > = some early date such as the date the database is put into use. StartTime > = 6am. StopTime < = 11pm.

It is a truism of statistics that, no matter how sensitive or accurate the PAT sensor may be in detecting quality variation, the performance of the reference method will always limit the level of perceived accuracy A much more accurate depiction of the performance of PAT sensors compared to reference techniques would be to compare analytical gures of merit, such as signal-to-noise ratio (S/N) or analytical sensitivity, which explicitly account for measurement precision [40, 41] Even though the perceptions of PAT instrumentation have begun to improve, companies continue to worry that the intensity of product quality sampling afforded by PAT sensors will result in negative consequences, such as increased inspection and investigations In other words, many companies continue to fear what they will nd if they begin to analyze their operations more closely.

The PixPicturePrintRequest POJO holds the order request that is to be sent by the client that needs to place the print order. Take a look at the listing for this simple POJO:

Prior to the introduction of rapid, nondestructive quality monitoring tools, there were few alternatives for ef cient quality assurance except to rely on batch release criteria, such as the wellknown US Pharmacopeia (USP) 905 procedure, which were based on extremely limited sampling (ie, assay 10 individual dosage units from a 30-unit sample of a production-scale batch)..