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Since the effect of input quantity variation is concerned, the data of input quantity, rather than cost/fee information is used.
The annual average data per unit of land for three main grain products (rice, wheat and maize) are used for simulation.
For the data of technology, the available data is the total power of machinery for primary industry, which includes the power of machinery use in agriculture, forestry and fishery.
In order to get the compatible data for agriculture, the data is adjusted using the percentage of agricultural output value in the total primary industry.
Using these data, the demand price elasticity of fertilizer could be gotten, and it is -0.345.

It has significant meaning to CO2 emission reduction, so it has gradually been the research emphasis in the energy clean utilization areas.
(7) Results and Analysis The Initial Parameter Table.Table 1 is calculated initial model parameters table, the following data from the existing data and experimental data.
F., Reduction kinetics of Cu-, Ni-, and Fe-Based oxygen carriers using syngas (CO + H2) for chemical-looping combustion[J].
[6] Zafar Q., Abad A., Mattisson T, Reduction and oxidation kinetics of Mn3O4/Mg-ZrO2 oxygen carrier particles for chemical-looping combustion [J].

The first model suggests that flashover is due to the reduction in air insulation strength caused by a reduced air density that results from the thermal effect of the fire.
These works promote our understanding of FIF, however, there is no consensus about the relative importance of three models, which is because that there is relatively lack of quantitative evaluation of the reduction extent of air insulation strength under fire.
The present paper seeks to present some experimental results of gap breakdown under fire and provide some data on the reduction extent of air insulation strength under fire.
The last four data points indicate the value is about 0.3KV/cm.
The value of the first data point is lowest, maybe because the distance is shortest and the positive electrode is close to fire center, where the temperature is highest.

In addition, rationalization consists of a number of corrective actions based on data stored in data base systems.
According to [8], the goal of process mining is to use event data to extract process-related information.
Data such as the minimum, maximum, and average throughout time of the patterns can also be visualized.
Based on these data, it is possible to identify the most harmful and frequent alarms.
Vanhoof, Internal fraud risk reduction: Results of a data mining case study.

The result can help us choose the appropriate MC reactor according to the demands data which are type of halogenated organic, disposal amount and so on.
Provisional POPs Technology Specification and Data Sheets for the Secretariat of the Basel Convention: Base Catalyzed Decomposition(BCD).IHPA, 2009 [2] International HCH&Pesticides Association, Secretariat of the Basel Covention.
Provisional POPs Technology Specification and Data Sheets for the Secretariat of the Basel Convention: Super-Critical Water Oxidation(SCWO)).IHPA,2009 [3] Kaleris V, etal.
Provisional POPs Technology Specification and Data Sheets for the Secretariat of the Basel Convention: MechanoChemical Destruction(MCD).IHPA,2009 [7] International HCH&Pesticides Association, Secretariat of the Basel Covention.
Provisional POPs Technology Specification and Data Sheets for the Secretariat of the Basel Convention: Gas-Phase Chemical Reduction(GPCR).IHPA,2009 [8] USEPA.

In order to verify the data calculated, the following experiments are conducted to characterize it.
Preparation of titanium by electrochemical reduction of titanium dioxide powder in molten SrCl2–KCl [J].
A study of preparation of titanium metal by the electrochemical reduction of titanium dioxide in molten salt [J].
Behavior of calcium chloride in reduction process of titanium dioxide by calcium vapor [J].
Direct electrochemical reduction of titanium dioxide in molten lithium chloride [J].

Although the sorption behavior of polymer-clay nanocomposites has been investigated by Gorrasi et al [7,8], the literature still contains little data on the subject.
Therefore, the goal of this study is to contribute pertinent data on the sorption of organic liquids in PET and PET-clay nanocomposite films prepared by melt intercalation and hot pressing, as well as to discuss an investigation into the related solvent-induced crystallization phenomenon (SINC).
So, from the intrinsic viscosity values, in Table 1, is seen that the PET and nano-PET samples underwent a reduction in their average molecular weight after processing.
The reduction in average molecular weight of the nano-PET samples after processing may also have contributed to this effect.
This statement is corroborated by the data on our PET and nano-PET samples given in Table 2, which compares the values of xc1 (degree of crystallinity in the first heating cycle, after quenching at 0 oC) and xc2 (degree of crystallinity in the second heating cycle, after slow controlled cooling at a rate of 10oC/min).

Introduction Milling process is constantly evolving due to a large demand on precision manufacturing, as well as efficiency and cost reduction.
Here, the static force magnitude is interpreted as an average value within a specified time domain of the sampled data to establish cutting force magnitude.
The data acquisition board used was a Measurement Computing model PCIM-DAS 1602/16 with 16-bit resolution.
A specific VI (Virtual Instrument) was used to data processing of milling.
This fact is probably due to the reduction of the specific cutting forces (Ks) with increase ap and f [8, 9].

All corrosion resistance data in work are presented relative to the used silver chloride reference electrode.
The numeric data of these experiments are presented in Table 3.
In addition, corrosion happens due to the reduction of oxygen molecules, adsorbed to the metal surface, as shown by the Eq. 2.
The curves of the open-circuit potential as a function of time in HBSS (a) and saline solution (b) at 37 °C for CR α-titanium (ε ~ 60% and ε ~ 30%), and EBC Anode dissolution: Ti0 → Ti4++ 4e Cathode reduction: 2H+ + 2e → H2 (1) Corrosion mechanism: Ti0 + 2H+ → Ti4++ H2 Anode dissolution: Ti0→ Ti4++ 4e Cathode reduction: O2 + 2H2O + 4e → 4OH- (2) Corrosion mechanism: Ti0 + O2 + 2H2O → TiO2∙2H2O Fig. 3 shows potentio-dynamic polarization plots of titanium in saline solution.
Calculated corrosion data of titanium in saline solution at 37 °C CR60 CR30 EBC Ecorr [mV] -147.81 -133.58 -168.42 Rp·10-4 [mOhm·sm2] 80.27 78.50 30.73 ba [mV] 106.36 108.65 126.08 bc [mV] 133.92 85.57 123.69 Bact [mV] 25.74 20.79 27.11 Bdiff [mV] 46.18 47.18 54.75 jcorract [nA·sm-2] 32.07 26.48 88.22 jcorrdiff [nA·sm-2] 57.53 60.10 178.15 CRactiv [µm·year-1] 0.28 0.23 0.77 CRdiff [µm·year-1] 0.50 0.52 1.55 According to Lee et al, the density of basal planes (0001) <1010> and (0001) <1120> is 20-25% after cold rolling of α-titanium with a deformation ratio of 60% [10].

POD is an effective method for dimensionality reduction and data decomposition, which could validly reduce the degree of freedom of the physical model with a close approximation.
Due to the effectiveness on reduction of computation time and data store, POD method is applied to fast prediction of ice shape.
The ratio of the energy contained in a certain mode can be measured by (6) The modes containing less energy can be negligible; leading to a reduction of basis, therefore the sample vector is represented as (7) The sample vector is of L basis, where L<=M.
While the 1st eigenvalue of height matrix is about one order of magnitude of the others, and it represent ice height characteristics therefore energy analysis and degree reduction can be applied.
Predictions of a temperature at 257K and 262K are calculated and compared with CFD data.