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We also proposed a method to obtain the constant-life relation from limited experimental data. 1.
A method to predict the fatigue strength under means stresses from a limit experimental data is discussed.
Here, we propose a method to derive a constant life curve by utilizing the published data base of plastic material.
The data well agree with the predicted lines. 4.
We also proposed a method to obtain the constant-life relation from limited experimental data.

Figure1: Relationship between the different birthday day m and probability of at least two people share the same birthday (evenly distributed) Monte Carlo simulation Take 3 non-uniform distribution of the birthday data as example.
Simulation steps: (1) Get the given birthday data’s distribution law
Moreover, Monte Carlo simulation combined with variance reduction technology can make the same birthday probability more accurate.

Endogenous microbial inocula was favor of protein and urease activity increased rapidly, and the promoted the quick start of composting during the temperature raising; At the high-temperature stage, cellulase and dehydrogenase activity were advanced after inoculated indigenous microbial inocula, promoted oxidation-reduction reaction during the composting.
The statistical analysis of data was carried out using the SPSS 11.5 program for windows.
So, endogenous and exogenous microbial inoculants advanced dehydrogenase accumulation, and further affected the oxidation-reduction reaction during composting process.

The amount of bacteria and actinomycetes in treatment LC and HC showed an evident reduction in the population of living microorganisms.
The amount of bacteria and actinomycetes under MC treatment was approximate to that in the corresponding control, but with LC and HC treatments there was an evident reduction in the population of living microorganisms.
Likewise, root exudates are often implicated in regulating fungal community structure and abundance[15], but convincing scientific data detailing the role of root exudates are sparse.

The zeolite with 7.5 g of sorbent dose and activated at 225oC for 3 h has a high salinity reduction of 3.2 ppt and reduction efficiency of 4.9%.
This decrease arise from the reduction of the pores created by the empty sites of the evaporated water and the same residues of PVA as well as the combusted residual organics.
Furthermore from XRD data, zeolite contains 59.30% SiO2.
The melting continues until the pores become filled, causing a reduction in the porosity [33].
For all samples, the decrease of the permeate flux with time is because of the reduction of the pore sizes by blocking the internal pore connection [35] and adsorption of impurity droplets from the non-sugar ingredients.

The mineralogical features of agglomerate and pellets before and after reduction are investigated.
The data were recorded in an angle range of 5°-90°, with the step of 0.021° to 2θ and exposure at the point of no less than 2963 s.
The phase composition and crystalline structure of the sample were determined from X-ray diffraction data using the DIFFRACplus software package, EVA and the International Diffraction Data Centre (ICDD) PDF4 database.
Empirical coefficients in the equations to calculate the temperature coefficients A and C were selected in such a way as to be as accurate as possible to approach the experimental data obtained for industrial and semi-synthetic slag melts, as well as to correspond to the standard description of melt viscosity measurements for different temperatures.
Calculated Analysis of Technical and Economic Parameters of Blast Furnace Melting of Titanomagnetite Sinter and Pellets: Coke Consumption and Productivity, Chemical Composition of Cast Iron and Slag, Quality of Iron Ore Raw Materials For the calculation analysis, the balance logic-statistical model of the blast furnace process was utilised based on the use of material and thermal balances; this was supplemented with calculations of heat and mass exchange, block of gas distribution irregularity accounting along the earhole radius, and statistical data on the influence of various factors on the blast furnace performance.

Some analysis of the unit’s thermodynamic performance is carried out from the test data for improving such kind of machine afterward.
A reduction of the compression efficiency and heating capacity causes the decline of COP and economical efficiency at the same time.
According to the consequence of the experiments data , the R407C combined unit as a heat pump water heater work in appropriate function no matter in summer mode or in winter mode, its advantage and disadvantage present obviously.

Therefore, Projection Pursuit Evaluating Model (PPEM) is proposed to be established in order to achieve a dimensionality reduction process.
PP method can overcomes the severe difficulty of dimensions from multi-dimension data, because it analyzes data in the space of low dimension, it is enough dense to projection space of 1~3 dimensions, so can find out the structure or character early in the projection space.
In addition, it can make a projection of multi-dimension data in one-dimension space, then analyze one-data and compare different projection value to find out the optimal projection direction.
Viewing from the original data, five indexes in program 5 is better than program 3, two indexes are the same and only two indicators is inferior.
It has solved evolutionary problem of high dimensional data in overall situation as well as reducing the workload.

The luminous efficacy and color rendering index (CRI) reduce with power reduction because of the decrease of spectral continuum.
Thus 27 groups of effective data were obtained with a step of 10 W when lamp power ranged from 100 W to 250 W.
It can be predicted that the lamp voltage will continually drop with further increased power according to the two groups data obtained at 250 W.

Alkaline-activated concrete production can therefore lead to a significant reduction in environmental impact.
The first figure shows the structure of waste generated by types in 2017 according to data from the Central Statistical Office.
Structure of waste generated by types in 2017 according to data from the Central Statistical Office [3].