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PACS (picture archiving and communication system) based on digital, communication, display, and information technologies has revolutionized the practice of radiology, and in a sense, of medicine during the past fteen years This textbook introduces the PACS basic concept, terminology, technological development, and implementation, as well as PACS-based applications to clinical practice and PACS-based imaging informatics There are many advantages of introducing digital, communications, display, and information technologies (IT) to the conventional paper and lm-based operation in radiology and medicine For example, through digital imaging plate and detector technology, and various energy source digital imaging modalities, it is possible to improve the modality diagnostic value while at the same time reducing the radiation exposure to the patient; then through the computer and display, the digital image can be manipulated for value-added diagnosis.

APPENDICES In the rst appendix some terminology used throughout this chapter is explained. The second appendix shows the complete solution to test case Zwolle as generated by the multiple-period heuristic. Appendix: Terminology People who study the shunting problem use speci c terminology to describe the planning process, the objects involved, and their motions. Here we de ne and explain some terminology used throughout this chapter. (Sub-) Train, Train Unit, and Material

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Also digital, communication, IT technologies can been used to understand the healthcare delivery work ow, resulting in a speed-up of healthcare delivery and reduction of medical operation costs With all these bene ts, digital communication and IT are gradually changing the way medical images and related information in the healthcare industry are acquired, stored, viewed, and communicated One natural development along this line is the emergence of digital radiology departments and digital healthcare delivery environment A digital radiology department has two components: a radiology information management system (RIS) and a digital imaging system RIS is a subset of the hospital information system (HIS) or clinical management system (CMS) When these systems are combined with the electronic patient (or medical) record (ePR or eMR) system, which manages selected data of the patient, we are envisioning the arrival of the total lmless and paperless healthcare delivery system.

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The digital imaging system, PACS, involves an image management and communication system (IMAC) for image acquisition, archiving, communication, retrieval, processing, distribution, and display A digital healthcare environment consists of the integration of HIS/CMS, ePR, PACS and other digital clinical systems The combination of HIS and PACS is sometime referred to as hospital-integrated PACS (HI-PACS) A PACS.

Solution The analysis can be done assuming that the reaction is rst order (this is usually the case in real life) or zero order (simpler analysis with no signi cant error for degradation of less than 10%). Both cases are presented here. For rst-order kinetics [refer to Equation (61)], the rst step is to obtain the natural logarithm of the concentrations, which is done in Table 29. Then, these values are graphed as a function of time where straight lines should be obtained as shown in Figure 2. The slope of each line corresponds to the value of k1, which is shown in the bottom part of Table 29. Next, a plot of ln(k1) versus 1/T is prepared with the three values of k1, one for each temperature as shown in Figure 3. Note that absolute temperature should be used here. From Equation (64), the value of k1 can be extrapolated to T = 25 C (1/T = 0.003354 K 1) to then predict the drug product assay as a function of time. The values of slope and intercept are shown in the inset of Figure 3; the calculation is ln k25 = 8237.4 0.003354 + 21.639 = 5.990 k25 = 0.00250 month 1 Once the speci c reaction rate is calculated, the drug product assay can be predicted using Equation (62). The results are shown in Table 30 along with the actual data from Table 28.

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Just as PHP contains a large number of built-in functions, MySQL also gives you many functions to assist you with your queries. In this section you look at some of MySQL s aggregate functions. Rather than returning the actual data contained in a table, these functions let you summarize a table s data in different ways:

You don t have to use literal values within the square brackets; you can use any expression, as long as it evaluates to an integer or string as appropriate: