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While Mercer and colleagues acknowledge that all three types of talk are appropriate in certain circumstances, their work has demonstrated that exploratory talk offers a potential for learning over and above that offered by the other types. This is because exploratory talk involves partners explicitly presenting ideas and reasoning together. According to this analysis, children should be inducted into educationally effective ways of talking and working together and collaborative activities should be designed to foster children s use of exploratory talk. As Jackson (1987) stresses, until children are able to use language as a resource for negotiation with others and as a means for establishing collaborative learning, the pattern of learning in the (primary) classroom remains inaccessible (Jackson, 1987, p. 85). Mindful of this, Mercer and colleagues have been involved in a sustained programme of classroom intervention work, called the Binking Together approach, in which children are explicitly inducted into the use of exploratory talk. The approach (see Dawes et al., 2000; Littleton et al., 2005) provides a framework for the direct teaching of the speaking and listening skills children and young people need in order to learn from and with each other. In this way, learners can add educationally effective ways of talking and thinking together to their talk repertoire. Key features of the approach are:



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Infrared spectra of vibronic excitations in metals are not observed because of the strong shielding effect of free carriers. Raman spectra of conventional two-atomic or multiatomic metals, such as Zn (Fraas and Porto, 1970) and V3Si (Klein and Dierker, 1984), have been reported, but failed to gain importance. Superconducting materials have been known since the discovery of the phenomenon of superconductivity in 1911 by Kamerlingh Onnes. They are characterized by the absence of any measurable resistivity and by their perfect diamagnetic behavior below





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A number of studies have been undertaken of the interaction of neutrinos with nuclei, to determine the neutrino mass, and to show that neutrinos and antineutrinos are produced in b and b2 decay, respectively Neutrinos also provide important information about stellar nuclear reactions because they have a very low probability for interacting with matter and come directly out from the stellar interior Starting with the simple equation for the b2 decay of the neutron and the b decay of the proton, we can write two closely related reactions that are induced by neutrinos: ne p ! n e ne n ! p e These reactions, called inverse b decay, were obtained by adding the antiparticle of the electron in the normal b decay equation to both sides of the reaction When we did this we also canceled (or annihilated) the antiparticle/particle pair.

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Notice that other neutrino-induced reactions such as ne n ! p e do not conserve lepton number because an antilepton, ne , is converted into a lepton, e2 Proving that this reaction does not take place, for example, would show that there is a difference between neutrinos and antineutrinos One dif culty with studying these reactions is that the cross sections are extremely small, of order 10219 barns, compared to typical nuclear reaction cross sections, of order 1 barn (10224 cm2) The combination of two studies of inverse b decay clearly showed that the neutrinos emitted in b2 and b decay were different Both used nuclear reactors to provide strong sources of antineutrinos Recall that nuclear ssion produces very neutron-rich products that undergo a series of rapid b decays emitting antineutrinos.

While Exhibit 20.5 shows how to calculate the asset weighted standard deviation for a single period, there is a problem introduced when we calculate the statistic over multiple periods. The formula uses a weight to establish the individual fund s contribution to the composite standard deviation. We can use the beginning of period weight, but there may be portfolios that start or leave the composite after the rst period. Because of this, when we calculate a multiperiod asset-weighted standard deviation, we typically include only the portfolios that are in the composite for the complete time period. Exhibit 20.6 illustrates the calculation of a multiperiod asset weighted standard deviation over the two-month period. The two-month composite asset-weighted standard deviation is equal to 13.41%. Only the eight funds present in the composite for both months are included in the calculation, i.e., the summation in the standard deviation calculation is over all the constituents that have been in the composite for the whole period. The individual fund returns are the subperiod linked returns for the two-month period. Notice that the average composite return used to determine the deviations from the average is 14.73%. This is different from the actual reported composite return equal to 15.49%. This is because the mean return used for calculating the multiperiod asset-weighted standard deviation includes only the funds in the composite for the complete period.

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