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The main advantage of S-shaped curve is that it catches most of the economic phenomenon’s growth essence and requires less data.
So it is suitable to forecast new industry’s development where the available data is very limit.
So it can depict the growth essence of EVs and requires a few data.
Because the EV in China is a new industry, and there has no historical data, it is a better policy to estimate the intrinsic growth rate of EVs based on that of ICEVs.
As we have seen, this model can catch the characteristics of EVs growth and need less data.

Table 9 Loss of water changes of optimal formula Time(min) 0 0.5 1.0 2.0 5.0 7.5 10.0 15.0 25.0 Loss of water (ml) 0 10.0 13.1 20.0 22.1 25.3 26.2 27.5 30.2 Data in Table 9 show that loss of water in 10 min reached 26.2mL, which indicates superior performance.
Table 10 The over time changes for material loading situation of optimal formula Time(min) 0 5 10 15 20 25 30 35 40 Force (kN) 0 7.5 15 22.5 30.0 37.5 45 52.5 60 Data in Table 10 show that time is proportional to the force of the material under the formula.
Table 11 The over time changes for thickening degree of optimal formula Time(min) 0 50 100 150 200 250 251 252 253 The thickening degree (%) 0 5.1 6.2 6.7 6.9 7.1 40.2 97.68 97.67 Data in Table 11 show that, during the first 250 min, the thickening degree of the material is not high, and thickening process was relatively slow.
Improvement on Data Processing in L9 (34) Orthogonal Design and Excel Application.
The establishment of data-autocalculator system for orthogonal experiment by Microsoft Excel.

Therefore, the early detection and diagnosis of breast cancer is a very important procedure for mortality reduction.
The Otsu thresholding scheme first normalizes the histogram of the input data set as a probability distribution, and supposes that all elements of the set are divided into two classes by a threshold.
When performing experiments, data are frequently tabulated in the form of ordered pairs with each distinct.
Given the data, it is then usually desirable to be able to predict from by finding a mathematical model, that is, a function that fits the data as closely as possible.
One way to determine how well the function fits these order pairs is to measure the sum of squares of the errors (SSE) between the predicted values of y and the observed values for all of the n data points.

This data provides information that the MIP caffeine sample has a smaller concentration than the NIP.
Table 1 shows different transmittance data (in %) between NIP and MIP.
Transmittance data from NIP and caffeine MIP.
The analysis of the obtained data can be seen in Table 2.
Summary FTIR data reveals that the concentration of caffeine decreases after the extraction process.

The sensor records and sends automatically temperature data to the computing centre.
At the computing centre, data are evaluated automatically and compressive strength of concrete is calculated by the maturity method using a calibration measurement.
Each user has real time access to these data on the web portal via computer or smartphone.
Fig. 3 shows the relationship between temperature data and compressive strength, which is used for calculation.
There is a chart of temperature data from sensor in the left and via calibration curve in the middle, it is possible to calculate compressive strength.

The numerical identification of the friction coefficients is validated by experimental data and first results are qualified by experimental and simulative shear-clinching joints.
The experimental data were generated using the adapted tools of the RCT and a universal testing machine Walter+Bai FS-300.
Furthermore the trend of the simulation matches the experimental data.
The total values of the experimental data slightly deviate from the simulated results.
The comparison of numerical and experimental data points out that the trends are consistent, but especially for high friction values there are some differences in the total value.

The structure, material and machining process of valve has been given higher required; improvement of product performance and reduction of cost has been paid more and more attention [1].
In fig.3(b) of the surfacing welding process of matching surface corrosion resistance layer, the 1st and 2nd layer surfacing welding process the same with above non-matching surface, 3rd layer is corrosion resistance layer, adopt A022 welding rod with welding data the same with above, drafted surfacing thickness 2±0.5mm, the exact value need to be taken further calculation, ensure the required size and precision asφ360H8 after boring machine, in addition to ensure the required surfacing thickness.
Substitute above data into formula (1) and (2) the estimation of welding rods, QA312=134±22kg，QA022=140±23kg.
According to the structure feature of valve body, take the internal cylindrical surfaces as the rough datum, process ex-circle of both ends of valve body and get machined surface of certain precision (fig.4(a)); take the outer cylindrical surfaces of two ends as the precise datum according to the principle of mutual reference, machine the 4 internal cylindrical surfaces to reach a certain precision (fig.4(b)); take surfacing welding according to above process and ensure welding quality (fig.4(c)); finally, take the outer cylindrical surfaces of two ends as the precise datum, take machining of 4 welded internal cylindrical surfaces and reach the size precision requirement (fig.4 (d)).
Conclusions (1) According to the design requirement, on the basis of DN500 valve structure analysis, through 3D solid modeling and software, the weight of valve body shall be 1.49 t, internal surface area 3.83 m2, which provided reference data for estimation valve casting and surfacing welding cost

In this regard, the temporariness of the securing intervention highlights a strong vocation for reversibility, that is particularly appropriate when operating on cultural heritage in compliance with the principles of restoration (reversibility, compatibility, minimum intervention, recognizability), as recommended in the guidelines for "evaluation and reduction of seismic risk of cultural heritage with reference to the Technical Standards for Construction "- DPCM 9/2/2011 [1].
For example, the provisional devices mostly used in the past, the wooden rakers, entailed some downsides: they encumber large spaces in front of the structure and present difficulties of construction, impossibility to reuse the material, loss of effectiveness in facing new shocks and reduction of the efficiency of the material over time [2].
The comparison between the data collected before and after the installation of the scaffolding allowed to verify the effectiveness of the interventions for securing this macro-element.
For example, a comparison between the cost of the scaffolding installed to secure the southern transept of the Church of Jesus and the cost of the hooping made for the safety of the north transept (less damaged and with minor deformations than the southern one), shows a reduction in costs in the latter case.
Moreover, its progressive diffusion and the introduction of new composite materials has allowed a considerable reduction in costs.

All bands agree well with the reported data for VO2 (M) films [17].
Mo doping introduces donor defects at conductive band, the negative charge ionized (2e) from the donor defect is situated on the local energy level formed in forbidden band, thereby serving to the reduction of the forbidden band gap and induce a transition to the metallic phase.
The increase in Mo doping concentrations allows the reduction of Tc in a nonlinear proportion.
A reduction in Tc of approximately -10 °C/at.% is observed for films with low doping content, while the reduction efficiency decreases with higher dopant concentrations.

By increasing the amount of metronidazole which was not ionized in the solution, the enhancement of solution conductivity caused a reduction in fiber diameter [18-19].
Nano fiber diameter distribution (summarized data) Samples Median nanofiber diameter (nm) Min nanofiber diameter (nm) Max nanofiber diameter (nm) Porosity Percentage (%) A (control without drug) 300 ± 4 50 ±4 780 ± 4 60 ± 5 B (5 %) 225 ± 4 20 ± 4 1100 ± 4 75.5 ± 5 C (10 %) 330 ± 4 25 ± 4 1400 ± 4 66.5 ± 5 D (20 %) 240 ± 4 24 ± 4 1170 ± 4 77 ± 5 E (30 %) 120 ± 4 20 ± 4 670 ± 4 85 ± 5 According to Table 2 and Figure 1 the minimum fiber diameter of 20 ± 4 nm could be detected (sample 4 owing to 30% of drug content).
By reduction of the fiber’s median diameter, the sample’s porosity also increased up to 85 ± 5 % (P ˂0.05).
It seems that by the increment of drug content (in the solution) and possible reduction of solution viscosity, followed by the more stretching of the solution, the thinner fiber diameters were obtained [21].
This behavior may relate to the nanofiber diameter distribution where the enhancement of the drug content caused a reduction on nanofiber diameter and, thereafter, mechanical properties improved.