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The behavior of sows has been studied over the years. It is a well known fact that the behavior of sows changes when they are in heat and when they are close to farrowing. Sows in heat become more active and go exploring more. If they are housed in a pen with contact to a boar pen, they more frequently approach the boar. Often sows will also mount each other when they are in heat. In the last hours before farrowing a sow exhibits characteristic nest-building behavior. The pattern is to a large extent prohibited by the con nement of the sow, but the restlessness behavioral pattern remains. The rst challenge is to design a predictive model of the heat period, taking the movement of sows as input and providing as output the probability of the heat period. Validating such a model will require a body of statistical data about sow movements in relation with their heat period. To the best of our knowledge, such data do not exist. Field experiments will make it possible to acquire this. Similar models will also be built for predicting the start of farrowing and for illness when the activity level is lower. Because illness events are rare, our predictive model will be more speculative. It will have to be validated over a time period that is probably longer than the project. The second challenge is to capture the data needed to feed the model. What sensors should be installed on the sensor nodes What kind of data should be collected

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As we note earlier in the chapter, economists love free markets because free markets produce only those units for which benefits exceed costs. In other words, the market equilibrium ensures that total surplus is as large as possible. Anything that interferes with the market s ability to reach the market equilibrium and produce the market quantity reduces total surplus. Economists use the colourful term deadweight loss to refer to the amount by which total surplus is reduced. In the sections that follow, we give you detailed examples of deadweight losses caused by price ceilings and taxes. These types of market interference are both under the government s control, but don t think that only government policy causes deadweight losses. Anything that reduces output below the market quantity causes a deadweight loss. Monopolies and oligopolies can be to blame, as can asymmetric information, poorly allocated property rights and public goods problems all things that we discuss in the next few chapters.

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separate MAC-d header is added; otherwise, there is no need to have a MAC-d header with HSDPA and, thus, no actual operation takes place in MAC-d. There are two logical channels relevant for HSDPA operation. These channels are mapped in the MAC layer to transport channels and then further in the physical layer to physical channels. The dedicated tra c channel (DTCH) carries user data, while the dedicated control channel (DCCH) carries the control information like RRC signalling. The DCCH cannot be mapped to the MAC-d ow in Release 5, but in Release 6 the additional functionality is de ned to ensure proper terminal behaviour just in case the connection to the serving HS-DSCH cell is lost. HSPDA MAC layer operation is speci ed in [7].

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TABLE 5-1. Habitat (A) and landscape (B) variables for riparian vegetation patch types Means ( S.E.) for measured variables among Riparian vegetation patch types (n) within the study reach of the Missouri River, Montana, U.S.A. Different lowercase letters for the variables denote statistically signi cant differences (p < 0.05, Bonferroni adjustment). (A.) Vegetation Structure and Patch Dimensions Variables Tree cover (%) Tall shrub cover (%) Low shrub cover (%) Herb cover (%) Patch width (m) Patch length (m) Patch area (ha) Cottonwood-Shrub (12) 23.6 (1.7) 26.6 (3.2) a 22.6 (5.6) 68.3 (3.2) a 92.4 (19.4) a 627.4 105.7) a 5.8 (1.2) a

SUMMARY We have explored the three basic sources of public school law within the American legal system, namely the Constitution, statutes and regulations, and case law. It is evident from the material presented that the federal courts and legislature have had a powerful impact on public schools, particularly since Brown, in 1954. But, as Hubsch (1989) points out, the role that the federal government can play in fostering quality public education in our nation s schools is limited. Court decisions spanning almost 50 years have sent a clear message that our schools must provide equal educational opportunities for all children. Equal educational opportunity for all children is not the same as a quality education for all, however (Hubsch, 1989). By providing grants and resources, the federal government can encourage quality educational programs, but the bulk of the responsibility for ensuring a quality education for all children must be carried at the state and local levels. Individual teachers, principals, and school psychologists must accept and share in this responsibility.

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