We examined the effects of TPPU and 14,15-EET on cLTP in hippocampal slices by application of forskolin and found that a low concentration of forskolin (25 [micro]M) had no significant effect on LTP induction, which was similar to the results of previous studies (107.5 [+ or -] 6.1% of baseline, n = 6; Figures 3(a) and 3(c)) .
We demonstrated that both TPPU and 14,15-EET increased both electrically induced LTP and cLTP in the induction phase and maintenance phase.
In this section, we propose the framework of CLTP. Similar to CLBP , the LTP is extended to completed modeling LTP (CLTP).
The proposed CLTP operators are combined into joint or hybrid distributions to build the final operator histogram like the CLBP and CLBC [28, 30], respectively.
In this section, a series of experiments are performed to evaluate the proposed CLTP. Four large and comprehensive texture databases are used in these experiments.
It is easier to note that CLTP has better performance than CLBP and CLBC with the CUReT database.
Except in case of CLTT_S/M/C, all CLTP operators achieved a higher performance than CLBP and CLBC operators for all N number of training images at radiuses 1, 2, and 3.
An MUR always results in an uprate of less than 2% of thermal power, since it is impossible to eliminate all measurement imprecision, and is typically adds 1.5% to 1.7% of CLTP. Since the new power level is within the currently analysed limits, it requires little or no reanalysis and no modifications to nuclear safety systems.
Stretch uprates are typically 5% to 7% of CLTP. Stretch uprates take advantage of the design margin that is inherent in the design and construction of most power plants.