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The results obtained up to now suggest that the BaTiO3:Rh phase conjugate mirror would lead to brilliant performances in kilohertz range high average power but relatively low energy-per-pulse MOPA sources. 8.4.3 Comparison of photorefractive self-pumped phase conjugation to other existing techniques In the previous sections, we described wavefront correction by photorefractive selfpumped phase conjugation. Dynamic wavefront correction can also be achieved by two-wave mixing. This so-called beam clean-up technique (Fig. 8.28) consists of splitting the aberrated intense laser beam into two beams. One, the signal beam of very low power, is spatially ltered to provide a TEM00 beam. The other is a powerful and aberrated pump beam. Both interfere in the photorefractive crystal. The p/2 phase shift between the interference pattern and the index grating in the material allows energy transfer from the pump beam to the signal beam, without phase transfer. As a result, the signal beam is ampli ed while keeping its TEM00 structure. Beam clean-up has been studied with nanosecond illumination at 532 nm

gives a3 = z; = 1.86

The following cursor grabs all of the employees with salaries greater than sal_param. The sal_param variable must already have been declared before the cursor declaration. Generally, you also want it to have a value. Thus, parameters passed into a function are often used in a cursor definition.

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(see 3). The extent of this is highlighted by the report on Diet Nutrition and the Prevention of Chronic Diseases from the WHO FAO (Food and Agriculture Organization) (WHO/FAO, 2003). This showed that edible fat production (and thus available food energy) has risen steadily over the past decades for example the available fat per capita in the USA increased from 117 to 143 g/day between 1967 and 1997. During the same period, the average self-reported fat intake, as estimated from questionnaires and interviews, hardly changed; although wastage of food has increased signi cantly, it is unlikely to account for the increase in production, and the discrepancy is most likely to be explained by under-reporting. It is reasonable to conclude that, at a population level, overconsumption of food occurs and this is likely to contribute to the spread of obesity. This, and the important role of the high energy density of westernized foods and drinks, is discussed further in 8. At an individual level, human feeding behaviour is heavily in uenced by psychological, economic and social factors (see 8). In modern society, these effectively override the physiological mechanisms in the brain and periphery that have been shown to regulate energy balance in rodents and other mammals. Nevertheless, cases of human obesity (albeit rare) have recently been identi ed who have speci c genetic defects affecting some of these mechanisms, indicating that these pathways also serve a basic regulatory function in humans (see 8). Some of these conditions are described below, and in more detail in 6. Novel factors implicated in appetite control in rodents, and which have at least some relevance to humans, include the gut peptide, ghrelin (Otto et al., 2005), the hypothalamic peptide, orexin A (Dhillo, 2007), and the endogenous cannabinoids (Harrold and Williams, 2003).

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The LTVS tracking application was developed in Java to receive data from the location tracking system API and tailor it to the needs of LTVS It acts as a listening module that receives tracking device carried by the person that updates on location and movement from the positioning engine through the API This allows real-time tracking information from the Wi-Fi (wireless delity) tracking system to be sent through the API to the listening LTVS tracking module where each device s information can then be processed Each device carries a unique MAC (media access control in the data link level) address that the LTVS tracking module and database use to identify it by.

Figure 6-30: Advanced settings offer similar high-end prepress choices as found with Distiller s Job Options.

Note If you want, you can pick each arc endpoint to control the size of the arcs. However, if you move the crosshairs farther than the arc length, an arc is created automatically. REVCLOUD multiplies the arc length by the Overall Scale factor (see 15) to adjust for different scale factors.

The processing of all the devices include maintaining a list of available and assignable tags, removing lost devices from both the patient and device lists, processing logical area restrictions according to each tag s assigned status, and, last but not least, maintaining a record log of all tracking events Updating the database with the status of each device on whether it is assigned or available is crucial to tracking ef ciency The updating involves the coordination of the tracking system and LTVS because there are different scenarios that formulate the nal device availability Table 273 describes the possible combinations of tracking device status Notice that only activated devices are available for assignment and only assigned devices that have a status of patient or staff quali es for location and message updating.

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