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R. E. Albright, What Can Past Technology Forecasts Tell Us About the Future , Technological Forecasting and Social Change 69(5): 443 464 2002. 8 H. Kahn and A. Wiener, The Year 2000, A Framework for Speculation on the Next Thirty-Three Years, MacMillan Publishing Company, London, 1967.
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) : ss.: COUNTY OF OAKLAND ) On this day of , 200 , before me personally came IR A INVESTOR, to me known and known to me to be the individual described in and who executed the foregoing instrument, and he duly acknowledged to me that he executed the same. Notary Public STATE OF ONESTATE ) : ss.: COUNTY OF OAKLAND ) On this day of , 200 , before me personally came HARRY HOMEBUYER, to me known and known to me to be the individual described in and who executed the foregoing instrument, and he duly acknowledged to me that he executed the same. Notary Public ) : ss.: COUNTY OF OAKLAND ) On this day of , 200 , before me personally came HEIDI HOMEBUYER, to me known and known to me to be the individual described in and who executed the foregoing instrument, and she duly acknowledged to me that she executed the same. Notary Public STATE OF ONESTATE
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species that are always on the move, doomed to extinction in their present habitat as they succumb to competitive pressure and surviving by escaping and reestablishing in other areas as a new niche opens. These species depend on frequent uctuations in habitat to provide refuges in which to establish new populations (Hutchinson, 1951; Harper, 1977). The natural water level uctuations observed in large river- oodplain ecosystems create and maintain an early successional environment (Junk et al., 1989; Bayley, 1991) ideal for the establishment and persistence of fugitive species. The historical cycle of annual, late winter, and early spring ooding of the Illinois River provided the mechanism that created this habitat (Sparks, 1995). Established vegetation was removed by the inundation of oodwater, and subsequent drawdown of the oodplain wetlands renewed native herbaceous wetland vegetation. When the natural hydrologic regime is altered, as in the Illinois River Valley (Sparks, 1995; Sparks et al., 1998), this habitat can be fragmented and destroyed, resulting in signi cant effects on the oodplain ora and fauna. The modi cation of ooding and ood characteristics of the Illinois River has reduced habitat availability for fugitive species (Smith et al., 1998; Sparks et al., 1998; Sparks and Spink, 1998), which are particularly sensitive to habitat alteration and loss (Hutchinson, 1951).
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Open source software and open source thinking powers the web. Most of the websites and web apps you use regularly are built upon open source technologies. More important, open source style thinking open thinking can be a source of ongoing abundance wrapped up in the capitalist pursuit of naked self-interest. Bring open thinking to your work and you ll have connected with a well of ongoing, growing value.
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Nelson, B. 2000. Bush: Restore Ocklawaha. Palatka (Florida) Daily News, 17 July. <http:/www.palatkadailynews.com>. Newling, C. J. 1990. Restoration of bottomland hardwood forests in the Lower Mississippi Valley. Restoration and Management Notes 8:23 28. Newman, S., J. B. Grace, and J. W. Koebel. 1996. Effects of nutrients and hydroperiod on Typha, Cladium, and Eleocharis: Implications for Everglades restoration. Ecological Applications 6:774 783. Nielson, D. L., and A. J. Chick. 1997. Flood-mediated changes in aquatic macrophyte community structure. Marine Freshwater Research 48:153 157. Nilsson, C., M. Gardfjell, and G. Grelsson. 1991. Importance of hydrochory in structuring plant communities along rivers. Canadian Journal of Botany 69:2631 2633. Nilsson, C., R. Jansson, and U. Zinko. 1997. Long-term responses of river-margin vegetation to water-level regulation. Science 276:798 800. Noble, R. E., and P. K. Murphy. 1975. Short term effects of prolonged backwater ooding on understory vegetation. Castanea 40:22 238. Nohara, S., and M. Kimura. 1997. Growth characteristics of Nelumbo nucifera Gaertn. in response to water depth and ooding. Ecological Research 12: 11 20. Osment-DeLoach, J., and P. Moore. 1996. Brushy Lake mitigation bank site. In Proceedings: The Delta: Connecting Points of View for Sustainable Natural Resources, pp. 297-301. US Army Corps of Engineers, Memphis, TN. Ouchley, K., R. B. Hamilton, W. C. Barrow Jr., and K. Ouchley. 2000. Historic and present-day forest conditions: Implications for bottomland hardwood forest restoration. Ecological Restoration 18:21 25. Patrick, W. H. Jr., G. Dissmeyer, D. D. Hook, V. W. Lambou, H. M. Leitman, and C. H. Wharton. 1981. Characteristics of wetlands ecosystems of southeastern bottomland hardwood forests. In Proceedings of the Workshop on Bottomland Hardwood Forest Wetlands of Southeastern U.S., ed. by J. R. Clark and J. Benforado, pp. 276 300. Elsevier, Lake Lanier, GA. Pearlstine, L., H. McKellar, and W. Kitchens. 1985. Modeling the impact of a river diversion on bottomland forest communities in the Santee River oodplain, South Carolina. Ecological Modelling 29:283 302. Penfound, W. T. 1949. Vegetation of Lake Chicot, Louisiana, in relation to wildlife resources. Proceedings of the Louisiana Academy of Science 12: 47 56. Petts, G. E. 1984. Impounded Rivers: Perspectives for Ecological Management. John Wiley & Sons, Chichester, U.K. Petts, G. E., A. R. G. Large, M. T. Greenwood, and M. A. Bickerton. 1992. Floodplain assessment for restoration and conservation: Linking hydrogeomorphology and ecology. In Lowland Floodplain Rivers: Geomorphological
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The ultimate consideration with credit risk is that an investor has some measure of assurance of receiving complete and timely cash flows. For a couponbearing bond, this means receiving coupons and principal when they are due and with payment in full. For equities, this can mean receiving dividends in a timely manner and/or simply being able to exchange cash for securities (or vice-versa) in an efficacious way. As stated, two clear differences between a bond and an equity are the senior standing embedded within the former in the event of a default and the fact that holders of equity truly own some portion of the underlying company. Just as there are varying classifications of bonds in the context of credit risk (as with senior versus junior classes of bonds), the same is true of equities. Inevitably, with the evolution of several different layers of bond and equity types in the market, there emerges a gray area between where one type ends and another begins. While the philosophical aspect of this phenomenon is of interest, there are some rather practical considerations for portfolio managers. For example, fund managers in charge of bond funds will want to have defensible reasons for including products that some customers might believe are more equity related. A sensible rationale may be all that customers require to be assured that their money is being invested as advertised. To begin to put a sharper point to this discussion, let us take a specific product example.
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Since it is A B | C and C B | A, we have m(C, AB) > m(C, A) and m(A, CB) > m(A, C).
Subtracting this number from the number of questions we need without knowing the value of A (or disregarding it), we get the expected reduction of the average number of questions we have to ask. Using the interpretation of the Shannon entropy as an average code length per symbol, we may also say that Shannon information gain measures the expected reduction of the message length if an unconditional coding of the values of attribute C is replaced by a conditional coding that takes into account the value of attribute A. It should be noted that this way of writing Shannon information gain is directly analogous to conditional Hartley information gain. However, in contrast to conditional Hartley information gain, which differs from its ordinary version, conditional Shannon information gain is identical to its ordinary version (as a simple calculation, exploiting the rules for logarithms, reveals). Although Shannon information gain is a well-founded measure for the strength of the dependence of two attributes, it has an unpleasant property: when it was used for decision tree induction, it was discovered that it is biased towards many-valued attributes [Quinlan 1993]. That is, it is likely that Igain (C, A1 ) Igain (C, A2 ) if the attribute A2 has more possible values than A1 and the probabilities are estimated from a database of sample cases. In other words: w.r.t. a given database two attributes can appear to be more strongly dependent than two others, simply because the former pair has more possible values. The reasons for this effect are twofold: the first is that Shannon information gain can only increase if the number of values of an attribute is increased, for example by splitting them. Formally this can be studied by comparing an attribute A to the combination of A and another attribute B. Lemma 7.2.2 Let A, B, and C be three attributes with finite domains and let their joint probability distribution be strictly positive, that is, a dom(A) : b dom(B) : c dom(C) : P(A = a, B = b, C = c) > 0. Then Igain (C, AB) Igain (C, B), with equality obtaining only if the attributes C and A are conditionally independent given B. Proof. The proof, which is mainly a technical task, can be found in Section A.9 in the appendix. We provide a full proof (derived from a proof in [Press et al. 1992] that Shannon information gain is always nonnegative), because it is rarely spelled out clearly. Note that with the above lemma it is easily established that Shannon information gain is always nonnegative and zero only for independent attributes: assume that attribute B has only one value. In this case it is Igain (C, B) = 0, since the joint distribution on the values of the two attributes clearly coincides with the distribution on the values of C. In addition, the combination of the attributes A and B is obviously indistinguishable from A alone and thus we get Igain (C, AB) = Igain (C, A). Consequently, we have as a corollary:
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