"... In PAGE 7: ... The penetration rate of electricity generated from bagasse is large until the rationing level of 10%. Table2 below shows prices and quantities associated with each rationing level. Table 2.... ..."

"... In PAGE 11: ...(see Table15 ). A 2.... ..."

"... In PAGE 5: ... CMPGRD passes in to this subroutine the appropriate input parameters scaled to the unit interval (for two-dimensional curves) or unit square (for three-dimensional surfaces), and in addition, passes in the cosine and sine of the angular parameters and/or for coordinate systems where these are applicable. CMPGRD expects the subroutine to return the value of the function c and its derivative in a form appropriate to the coordinate system, as detailed in Table1 .... ..."

"... In PAGE 15: ... Thus, we combinatorially explored values for the capacity levels and the forecast window sizes, and different demand curves in the model of the current supply chain and of the SYS pilot. We drove the systems with the following input signals ( Table4 ): a) step- up demand, b) step-down demand, c) single pulse demand, d) periodic pulse demand, random demand with e) low variance and f) high variance, and steady real-data demand (not shown). Table 5 briefly describes the demand curves.... ..."

"... In PAGE 16: ...5% per year). Table2 summarizes the changes in capacity by ownership category over the period 1995-1999, with some comments about the previous history. This table forms the capacity basis for the LSFE estimates reported below.... In PAGE 17: ...istributors (Newbery, 1999, p.224f). By 1995 about 5000 MW of IPP capacity was operating. Table2 shows that this nearly doubled by 1999. Table 2 also indicates substantial reductions in capacity by NP and PG over the 1990s.... In PAGE 17: ... Table 2 shows that this nearly doubled by 1999. Table2 also indicates substantial reductions in capacity by NP and PG over the 1990s. When NP and PG were first created in 1989, NP had 29,486 MW and PG had 19,802 MW (Newbery, 1999, p.... In PAGE 22: ... Their motivation was to meet regulatory requirements associated with their proposed vertical mergers. Table2 shows that the U.S.... In PAGE 22: ...16 We use the LSFE framework to assess the price implications of these divestitures, and to compare the performance of the affine case with the case where the marginal cost curves must go through the origin. Table 8 shows the results of using the data in Table2 and two versions of the cost curve for the strategic generators with gas and coal-fired plant. The cases labeled Zero Intercept assume that all cost curve pass through the origin.... ..."

"... In PAGE 7: ... In these experiments, the maximum length of the information supply chain paths is 3 which denotes the number of hops in the path. The trustworthiness evaluations were pre-assigned, and each path in information supply chain is labeled by the supply chain path ID (see Table1 ). The overall goal of the experiments is to show the effects of different dms values, as well as the effects of s-curve transformations, for the selection of the most appropriate information sources.... In PAGE 7: ...2 (b) represents the results without s-curve transformations. In Table1 , the information supply chain path IDs and the corresponding MSE values and ranks, when the target location is transferred along each supply chain path, are presented. A path with a smaller MSE value is assigned a higher rank.... In PAGE 7: ...ach path so each neighbor. For example, comparing Fig.2 (a) and (b), we can see that it is hard to distinguish which path is better between A and B when dms is zero although the MSE of A is less than MSE of B. However, if dms is 1 or 2, the evaluation value for A is higher than that for B, meaning A is better than B which is exactly what the MSEs for A and B imply in Table1 . (a) (b) Fig.... ..."

"... In PAGE 12: ...neuron rates #28parameter set 1, Table1 #29. level f, balancing implies P LTD apos; fP LTP .... In PAGE 18: ... If the model of Section 2 is adequate for describing the behavior of the electronic synapse, the computer simulation values should be in agreement with the measured experimental values. This question becomes more poignant given the uncertainties on the measured parameters, as expressed in Table1 . In what follows we use the central estimate for the parameters.... In PAGE 19: ... 8 and 9 for LTP and LTD, respectively. Each #0Cgure is a 3-way comparison for two sets of parameters #28 Table1 #29. Upper curves and points are for set 2, lower ones are for set 1.... ..."

"... In PAGE 3: ... If standby costs are ignored, the effect of withholding is essentially that of moving the supply curve to the left. The strategies for offers of the standardized agents are shown in Table1 . The standardized agent with the weakest degree of speculation, called a weak spec- ulator (WS), was designed to speculate with the block that is adjacent to and more expensive than its fair share block.... ..."

"... In PAGE 25: ... 4.2 Sensitivity Analysis Table3 summarizes 36 alternative Phillips curves regressions that examine the sensitivity of the benchmark results in table 2. These regressions differ by: the price index used to measure inflation; the activity measure used; whether supply shock control variables are included; whether the error correction term and its lags are included; whether the log-level of the productivity adjusted real wage (the markup ) is included; and how many lags are included in the specifications.... In PAGE 27: ... This suggests that the estimated decline in the NAIRU is not a spurious consequence of neglecting feedback from wages to prices. Table3 also shows results for a specification that includes the markup of prices over productivity adjusted wages is included (or equivalently, when we include the log level of the productivity adjusted real wage). Including this variable reduces somewhat the estimated decline of the unemployment NAIRU, from 1.... ..."