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The given work provides a research of synergy between separate parameters of room thermal stability and automatic control systems of the indoor climate support, it regards a formula for computation of control regulator ratio for purposes of power capacity reduction in the technical equipment systems.
Value Во is a coefficient of reduction to Кass, leaning on qк < 1 (also dimensionless).
Accordingly, we obtained numerical data and graphed characteristic curves illustrating our conclusions.
Data analysis has shown that fragmentally we may observe a thermal nonstationarity and dynamics of the room thermal processes.
Dependence of coefficients Rdyn and Кass desks on the parameter of Кreg With regard to the above-mentioned, a chain line depicts data obtained in view of the results of a numerical model.

Unfortunately, the data regarding clinical efficacy are not yet available for the MDR reversal agent may expose the patient to unacceptable side-effects or toxicity at the doses required for effectiveness and/or affect the pharmacokinetics of the anticancer drug [3].
Cells were incubated for another 48 h and growth inhibition was evaluated by MTT (3-(4,5-dimethylthiazol -2-yl)-2,5-diphenyl tetrazolium bromide) reduction method.
Cells were filtered and then Data acquisition and analysis were done by flow cytometer (Becton Dickinson FACScan.
The effect of sensibilization to doxorubicin was detected by MTT reduction method.
The data show that the GA-R could induce the cellular apoptosis.

The calibration mainly chooses idea of theoretical data accord with observable data to estimate parameter of DSEG model (Smets&Wouters, 2003), that it uses experience study to confirm parameter of model.
The advantage of calibration is usually very stable and it can enable researchers to pay more attention to data characteristics of DSEG model (Smets&Wouters, 2003).
The increase in salary and interest rate cause factory to reduce input in labor force, it finally results in reduction in output.
In the short period, positive monetary supply shock will cause increase in interest rate and price, reduction in output, the circulation effect of monetary is very weak, so that it influences adjustment effect on regulation of monetary supply.

First collected raw data and calculated.Then drew the pie chart in order to show the loss distribution better.The Figure 2 shows that most of the exergy loss of power plant is in the boiler, the second is in the condenser.
Firstly, Collected raw data, inquired the entropy of working fluids under different status.
The exergy situation of each regenerative heater extraction factor exergy drop of steam extraction exergy rise of feedwater exergy drop of drain the amount of exergy loss the amount of exergy enter exergy efficiency the rate of exergy loss 1 0.0722 964.8470 66.481 0 3.18095 69.66195 0.95434 0.00197 2 0.0829 929.8953 77.865 84.958 5.35729 83.22229 0.93563 0.00331 3 0.0385 1047.3910 47.565 51.958 6.12731 53.69230 0.88588 0.00379 4 0.0423 843.7798 39.695 18.876 8.70100 130.27800 0.93321 0.00538 5 0.0354 693.0598 27.602 63.456 3.17037 24.53432 0.87078 0.00196 6 0.0223 539.0534 14.165 15.044 1.58974 12.55345 0.87336 0.00098 7 0.0315 451.8340 17.152 18.531 2.04489 15.32054 0.86653 0.00127 8 0.0265 287.8353 9.304 9.369 1.29110 8.49239 0.84797 0.00080 Draw the line chart of each regenerative heater in order to be more intuitive to analyze, according to the data of table 1.
The analysis results of improvement program heater number fractional flowαgi the increment of equivalent enthalpy reduction△H[kJ/kg] efficiency improvement△η[%] coal consumption rate savings△b[g/kW·h] 2 0.042 0.248 0.173 0.213 3 0.042 0.541 0.198 0.244 The table2 shows, through using the outer steam cooler, We can use the energy gradient, reduces the irreversible loss in the process of heat transfer, achieve the effect of reducing coal consumption.
It has very important practical significance, provides reference for energy conservation and emission reduction of power plant.

Ammonium nitrogen was determined by sodium bromate oxidation method, the nitrite nitrogen was determined by diazo-azo method, nitrate nitrogen was determined by the zinc - cadmium reduction method [10].
Data Statistics and Analysis Experimental data were analyzed using the single factor analysis of variance.
Analysis software was SPSS 17, and all data were expressed in mean ± SD.
It was speculated that the oxidation and reduction reactions of nitrate nitrogen were produced, the three nitrogen concentrations were very low after 24 h.

The above data show that the stainless steel industry has been developed rapidly in recent years in China, but the development is still backward compared with advanced countries.
The actual production results indicate that the developed converter is with high precision, the content of Cr2O3 in the slag after reduction is reduced, the recovery rate of the chromium is improved significantly.
This study can provide the data and lay the foundation for the further research [6, 7].
The desiliconization accuracy can reach 0.05%, the content of Cr2O3 in the slag after reduction can be less than 2%, better than the technical requirements of 3%, and improve the recovery rate of the chromium greatly.
Ø In the case of no direct references, the elementary research work in the paper can provide the data and experience for the desiliconization converter design and application, and lay the foundation for the further research.

A Method for Designing Low Peak to Average Power Cognitive Radar Waveform Xuemei Wang1, a, Chunyang Wang2, b , Yu Chen3,c, Yanxin Yu4,d, HongyanSun5,e 1 2 3 4 5.College of Electronic Information Engineering, Changchun University of Science and Technology in China b834656841@qq.com（corresponding autor） Keywords: Cognitive radar, TDCS, Gray complementary sequences, PAPR reduction, clipping.
First the electromagnetic wave is reflected by environment, and carrying a large amount of environmental information, after received by the receiver, then it extracts the echo data [6, 7].
By designing transmission waveform improves the next environment reflection echo data, in order to obtain richer and more precise target information [8, 9].

Data Resources and the Study Method The energy consumption, GDP, population data all were from from 1995 to 2012 [3] .
Estimation Model of Carbon Dioxide Emission The calculation of carbon emission of energy consumption was based on 2006 IPCC Guidelines for National Greenhouse Gas Inventories[4], combining the statistic features of energy data of He’nan, the calculation formula is following.
Carbon emission coefficient ηi applies the data from the analysis report of China sustainable development energy & carbon emission by China Energy Research Institute of National Development and Reform Commission (Table1).
In order to make the carbon emission intensity comparable for the years, it applied at comparable GDP index (i.e.to get the data sequences of the years based on the consistent data in 1991).
Fig.2 The distribution rate of carbon footprint in He’nan province from 1991 to 2010 Analysis of Carbon Footprint Intensity Carbon footprint intensity (CFI) was the data of carbon footprint of GDP per production unit.

Especially in the case of large data sets, it’s very inefficient.
Partition algorithm For the Apriori algorithm’s lack of data mining in the large-scale data sets, A.Savasere presents the partition algorithm; the core idea of the algorithm is to divide the original big data sets into series small parts that contains only small amount of data sets logically.
The Map function is responsible for processing sub-data set and generate intermediate results; the Reduce function is responsible for reduction of the intermediate results and generates the final results.
The experiment data is generated by IBM Data Generator[6]; there are three data sets altogether: T5.I2.D1000K, T5.I2.D5000K, and T20.I4.D1000K.
Data Mining Concepts and techniques, Second Edition [M], 2008.

.% of ES nano bio-filler, respectively showed a significant reduction in total heat rate, promoting thicker and more uniform char layer in protecting the steel structural.
The results were calculated based on the average of three experimental data [8].
Comparison of the temperature profile of the coated steel plates and height of char layer Moreover, the data in Fig. 2 also showed that the thickness of the intumescent char layer for B and D containing ES nano bio-filler was increased to 39.0 mm and 48.0 mm, respectively.
The samples B and D showed a very significant improvement in reduction of THR with the addition of ES nano bio-filler.