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From the TEM data the crystallites in the powder particles had the sizes from 3 to 70 nm.
This ratio σ/E can be calculated according to the Hall equation from XRD data [3].
Described calculations of the RCM and sizes of ACS were implemented on experimental XRD data using Powder Cell 2.23 software [4] and a standard database ICSD.
The coefficient of proportionality k is determined by approximation of experimental data set using the method of least squares.
The reliability of approximation of experimental data by Eq. 2 is rather high (above 80%).

Eventually, ergonomic pruning shears is advice to get better risk reduction [4-6].
The related EMG data was collected during the activities.
The EMG instrument generated the signals and recorded the data.
The EMG instrument generated the signals and recorded the data.
If the test is done in the same day, possibly the EMG data of the second test was affected by the earlier.

The calculated data allowed us to estimate the maximal temperature of SiC substrate during RTP which might not cause defect generation in the SiC wafer.
In this work, the calculated data of the optimized RTP chamber design and the regimes for SiC substrates 100 mm in diameter are presented.
The obtained data were in a good agreement with data in [5].
One of the methods of the temperature gradients and thermal stresses reduction is the introduction of additional light fluxes in order to compensate the energy loss from substrate edges.
Calculated data of the temperature and thermal stress tensor distribution along the radius of SiC substrate for this case are shown in Fig. 3

Aerospace engineers and designers are very much interested in the data on the effect of rapid heating and rapid loading on the high temperature tensile properties of structural materials.
New data on design-allowable parameters can be evolved from the studies on the effect of rapid heating on structural materials.
Since almost all of the available test data on mechanical properties were applicable to the more conservatively designed structures, it is hoped that this test program will fill the requirement for very high-temperature and high-speed test data.
The reduction in strength and increase in ductility of metallic materials at elevated temperature in conventional testing is due to the combined effect of higher mobility of dislocations, higher concentration of vacancies and the operation of various thermally activated processes, all of which are diffusion controlled.
[2] Alloy Data Sheet , Haynes Inc USA

The analysis of the construction costs covered only the element of separation between external environment and volume indoor as roof, exterior walls and windows (Table 2 and Table 3).[6] Cost data of eco-sustainable building costs are actually incurred by the buyer of the building.
In addition to the data already mentioned, presence of people, the use of electrical equipment and activation of lamps and lighting systems are considered as additional data that are necessary to the simulation.
The sustainable building is occupied, usually by a family of three people using the property as a residence for both winter and summer.[8] In terms of sensible heat and latent heat, is related to the actual residence time and the type of activity performed by each occupant within the building.[9] For the estimation, was built a time table indicating, for each hour of the day, the number of people present in the house, distinguishing between weekdays and Sundays and assigning, at the same time, the type of activity carried out by choosing among those proposals from the table "Rates of Heat Gain from Occupants of Conditioned Spaces" of ISO 7730.[10] The climatic parameters were taken out of the database Meteonorm contained in the application of TRNSYS Weather Data.
In conclusion, the objective of this work is to reduce, even in part, and maintaining high standards of interior climate, the load on the environment through mainly the reduction of consumption of energy[11-12].
The importance of reliable climatic data in the energy evaluation.

Table 1 The fabrics treated by different technologies and their corresponding code Sample code Fabrics treated by different technologies 0 Scouring 1 Enzyme treatment 2 Softener treatment The tested data of sample 0, sample 1and sample 2 on bursting, tensile, drape, propensity to surface fuzzing and to pilling, abrasion resistance, and bending were shown in table 2.
Table 2 The tested data Sample code Bursting properties Breaking force [N] Elongation [%] Drape coeffi- cient [%] Fuzzing and pilling [grade] Abrasion resis- tance [turns] Bending length [mm] Streng- th [N] Disten- sion [mm] Warp- wise Weft- wise Warp- wise Weft- wise 0 257 15.42 568.6 476.1 6.1 7.8 58 3 38 6.39 1 212 16.38 478.3 456.8 6.4 8.1 42 3.5 41 5.89 2 232 16.12 498.6 443.5 6.7 8.9 49 2.5 40 6.08 The grade of sample 0, sample 1 and sample 2 on scratchiness were shown in table 3.
The data in the table 2 show that there is a good consistency between bursting properties and tensile properties for the same reason as above.
The data in the table 2 show that there is a good consistency between drape and bending for the same reason as drape.
The pointed tips of hairinesses could be passivated by enzyme treatment and the reduction of fibers crystallinity could lead to a decrease in fibers rigidity [6] .The data show the two modification methods have obvious influence on scratchiness.

Therefore single base stations of CORS system for small and medium-sized cities are taken into consideration to suit for the current development situation, which can be gradually upgraded into a network system with technology development and costs reduction in the future.
The measured points distribution map (7929 is the base station ) is shown in Figure 1, the measured point data and error is shown in table 1: Fig 1 The map of measured point distribution Table 1 Actual measurement data and error distribution Point X Y H precision of X precision of Y precision of H Working mode Solving state gz01 4427925.599 482858.757 -94.528 0.006 0.005 0.008 GPRS fixed solution gz02 4432615.698 483223.67 -89.899 0.009 0.009 0.012 GPRS fixed solution gz03 4437072.208 482741.231 -86.666 0.009 0.011 0.018 GPRS fixed solution gz04 4439006.097 482704.844 -86.159 0.009 0.01 0.016 GPRS fixed solution gz05 4439006.089 482704.849 -86.16 0.009 0.01 0.016 GPRS fixed solution gz07 4440711.348 483040.207 -84.356 0.012 0.01 0.016 GPRS fixed solution gz08 4442601.147 483711.121 -87.335 0.012 0.011 0.018 GPRS fixed solution gz09 4435436.111 482928.772 -90.792 0.009 0.01 0.02 GPRS fixed solution gz10 4431585.956 483214.098 -91.543 0.009 0.009 0.013 GPRS fixed solution gz11
RTK initial measured data and error distribution Is shown in Table 2, the result of External accord accuracy is shown in table 3.
Table 2 RTK initial measured data and error distribution Point X Y H Precision of X Precision of Y Precision of H Working mode Solving state hk02 4424363.262 482680.383 26.000 0.006 0.007 0.011 GPRS fixed solution hk12 4424622.713 482615.557 26.381 0.005 0.005 0.008 GPRS fixed solution hk12-2 4424622.714 482615.55 26.447 0.019 0.017 0.03 GPRS fixed solution hk12-3 4424622.715 482615.561 26.377 0.02 0.017 0.038 GPRS fixed solution hk02-2 4424363.277 482680.389 25.999 0.008 0.008 0.026 GPRS fixed solution hk02-3 4424363.252 482680.375 25.982 0.008 0.007 0.015 GPRS fixed solution Table3 The result of external accord accuracy point Hk02 0.007 0.076 0.000049 0.005776 Hk12 0.051 0.022 0.002601 0.000484 According to the difference measurement point between the known coordinates, according to the formula (1),we can calculate external accord accuracy of X, Y direction : Internal accord accuracy.
[4] Yuanzheng,Li,Jinsong Huang, GPS measurement and data processing: Wuhan University press(2007),In Chinese

Afterwards, a “Y” shaped pipe connection was attached to 1/4” inch pipe reduction pieces leading to plastic transparent tubes.
However, a gap between 1.0-1.8s was left with no data acquisition, because this was only a preliminary experimentation.
Both sets of data were graphed together to see the correlation between them and repeatability of the tests.
Using this method, analyzing the data does not require weighting the mass of the medicine that went all the way through the bronchioles, but just comparing the behavior of the gases under different delays.
After all the pieces of data were graphed and different regression techniques were used, the one that best fit the data was a logarithmic regression with an R2 of 88.65.

As to research object, some articles use the country-level panel data [7, 8]; some use country-level time serial data [9], and some use firm-level panel data [6], but little article uses industrial sector-level panel data, especially Chinese industrial sectors panel data.
Smarzynsk and Wei (2004) [6] used firm-level data in Europe, and found that the increase in production leads to added carbon emission.
Empirical Analysis Data Source and Definition of Variables.
Eventually, we use the data from 35 industrial sectors during 1999-2008.
All the data related to price have been adjusted to constant value whose base period is 2000.

The data obtained from laboratories and secondary data were used to develop an empirical model.
The main data used in this study were obtained from the laboratories result.
The descriptive statistics result showed the statistics information about the parameter data.
Summaries of descriptive statistics data for MDD model Variable/Predictor Mean Std.
Summaries of descriptive statistics data for OMC model Variable/Predictor Mean Std.