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Positive reinforcement produced by the electrical stimulation of septal region and other regions of rat brain Journal of Comparative and Physiological Psychology, 47, 419 427 Papez, J (1937) A proposed mechanism of emotion Archives of Neurology and Psychiatry, 38, 725 743 Pavlov, I (1927) Conditioned re exes Oxford: Oxford University Press Perls, F (1969) Gestalt therapy verbatim Lafayette, CA: Real People Press Pine, F (1990) Drive, ego, object, and self: A synthesis for clinical work New York: Basic Books Pribram, K (1962) Interrelations of psychology and the neurological disciplines In S Koch (Ed), Psychology: A study of a science (pp 119 157) New York: McGraw-Hill Prigogine, I (1972) Thermodynamics of evolution Physics Today, 25, 23 28, 38 44 Prigogine, I (1976) Order through uctuation: Self-organization and social system In E Jantsch & C Waddington (Eds), Evolution and consciousness Reading, MA: Addison-Wesley Rapaport, D (1953).

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Some metapsychological considerations concerning activity and passivity In M M Gill (Ed), The collected papers of David Rapaport (pp 530 568) New York: Basic Books Redmond, D, Maas, J, & Kling, A (1971) Social behavior of monkeys selectively depleted of monoamines Science, 174, 428 431 Rogers, C R (1963) Toward a science of the person Journal of Humanistic Psychology, 3, 79 92 Rushton, J P (1984) Sociobiology: Toward a theory of individual and group differences in personality and social behavior In J R Royce & L P Moos (Eds), Annals of theoretical psychology (Vol 2, pp 1 48) New York: Plenum Press Rushton, J P (1985) Differential K theory: The sociobiology of individual and group differences Personality and Individual Differences, 6, 441 452..

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used with caution, bearing in mind the hydrostratigraphy of the catchment in question The coef cients used to de ne exponential base ow recession equations are sometimes taken as indices of individual drainage basins However, since exponential equations are normally derived from absolute values of ow rather than ow rates normalized against total annual runoff or catchment area, it is rarely possible to rationally compare the coef cients obtained from analysis of one basin with those from another More useful comparative indices are discussed below Besides separating hydrographs using graphical techniques (Figures 56, 57), it is also possible to achieve the same end by using hydrochemical calculations based on concepts of mixing two waters of different water quality For this to be applicable, it is important that the discharging groundwater is signi cantly different in chemical composition from overland ow generated in the same catchment.

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where the minimization is over all conditional distributions p(x|x) for which the joint distribution p(x, x) = p(x)p(x|x) satis es the expected distortion constraint. Paralleling the discussion of channel capacity in 7, we initially consider the properties of the information rate distortion function and calculate it for some simple sources and distortion measures. Later we prove that we can actually achieve this function (i.e., there exist codes with rate R (I ) (D) with distortion D). We also prove a converse establishing that R R (I ) (D) for any code that achieves distortion D. The main theorem of rate distortion theory can now be stated as follows: Theorem 10.2.1 The rate distortion function for an i.i.d. source X with distribution p(x) and bounded distortion function d(x, x) is equal to the associated information rate distortion function. Thus, R(D) = R (I ) (D) =

Bearing in mind the points made in 4 concerning groundwater chemistry, it is often reasonable to anticipate that overland ow will have a composition close to that of rainwater, whereas groundwaters will be considerably more mineralized Ideally, two ideal end-member compositions will be identi able: pure groundwater and pure overland ow End-member compositions can be de ned by directly sampling overland ow during storms and by sampling near-channel groundwaters using boreholes In other cases, it may be suf cient to sample only stream waters and simply assume that samples obtained during periods of peak runoff represent 100% overland ow, whereas those sampled during low- ow periods represent 100% groundwater (Whether such assumptions are justi ed depends on the local hydrogeological setting; cf Figure 56.

) Once the two end-members have been characterized (and shown to be signi cantly different from one another using statistical techniques), the proportion of groundwater in the total stream ow at any one time can be calculated using a series of calculations which have been dubbed end-member mixing analysis (EMMA) Best practice is to implement EMMA using a range of natural tracers and compare the results obtained Relatively.

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where All is (k x k), An is ((m-k) x (m-k)) and A21 is ((m-k) x k).

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