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The concept of composite with technological role based on creating new complex metal matrix with solid particles in granular form has multiple purposes, among which we mention reduction of pollution in steels department and reduction of economic losses through recovery and reusing of granular ferroalloy particles.
Results and discussion The experimental program for obtaining the composite material A6061/SiC comprises data and conditions shown in Table 2.

Data on the mechanical properties of masonry walls from the materials used in Montenegro are scarce.
Some of them were testing in-situ and data of the mechanical characteristics of the stone walls were published.
There is no published data about mechanical characteristics masonry walls made of clay brick block or concrete block from the Montenegro researchers.
Method of processing data obtained by the experiment is defined by the standard.
Appreciation Implementation of the project SROKO "Seismic risk reduction for buildings of stone and brick" is held under the auspices of the Ministry of Science of Montenegro.

However, driven by the relentless pursuit of dimensional reduction in wire bonding technology which calls for reduction in wire diameter, these conventional methods may not be sufficient.
It was clearly observed that one more time , pull test above the ball ( hook location A) did not adequately test the 2nd bond quality and that location B is found to be more appropriate to test the bond quality Basing to the earlier rule of thumb which stated that the 2nd bond strength is sufficient to maintain a consistent manufacturing process as long as it can achieve either half or more of its breaking load [3], the earlier data which was considered failed or rejected per the current MIL Standard 883E can still be considered as pass as most of the bond strength values are still either half or more than its breaking load .

In order to meet the requirements of recording in signal to noise ratio, comprehensive methods in noise decrease are adopted in design, which include the reduction of noise in room background.
Through the checking of the testing data and the evaluation of the users, various acoustics norms meet the requirements of acoustics and the demands of the using.
The sound isolation doors are sealed and have double layers of single fan-shape, based on the calculation of the testing data of sound isolation walls in the labs, the structure of such walls can meet the volume of the sound isolation which is larger than 60dB.

After graphite content exceeds more than 3%, friction factor stops reduction.
Fig.1 and Fig.2 are plotted according to the data of Table 1.
The remarkable reduction of friction factor decreases wear and tear obviously.

The photocatalytic rates of ethylene oxidation and oxygen reduction were 10-8 mol. s-1.g-1 evenly at C2H4:O2 molar ratio equal to 3:1.
The change in concentration of reactant gases without TiO2 particles or blank test is less than 0.2% that is considered as an experimental error (data are not shown).
The oxygen adsorption rates were in good agreement with the removal of oxygen reduction rate that declined while increasing oxygen ratio in Fig. 2(a) and 2(b).

The sample (ca. 240 mg) was degassed at 200 oC and 1.3´10-3 Pa for 4 h before the measurement of data.
They assigned the H2-TPR peaks at 300 and 360 oC to the reduction of bulk-like Co3O4 phase (a two-step reduction process of Co3O4®Co2+®Co0), the H2-TPR peak at 430 oC to the reduction of the Con+ species and the H2-TPR peak at 550–800 oC to the reduction of the Cod+ species [9].
According to the previous works, the H2-TPR peaks at 220-250 and 300-330 oC are tentatively assigned to the stepwise reduction of bulk-like Co3O4®Co2+®Co0, the H2-TPR peaks at 400-430 and 560-590 oC are respectively attributed to the reduction of Con+ and Cod+ species on these catalysts [9, 10].
It is worth noticing, the reduction peaks of CoOx/MgAl2O4-HT shift toward the low temperature comparing with the corresponding reduction peaks of CoOx/MgAl2O4-CP and CoOx/MgAl2O4-SR.
On the other hand, the total H2 consumption of these catalysts is roughly estimated by the integration of the H2 reduction peaks area.

Analysis on Lubricating and Viscosity-temperature characteristics of the Vegetable Oil Fazheng Zheng a, Shandan Zhou b, Feng Xie c, Xinnian Li d, Yumeng Yu e Air Force service  Institute, Xuzhou, 221000, China aylyyz103@sina.com, bJack1975@126.com, cchinaxiefeng@163.com, dlixinnian@sina.com, ekuaileyym@.126.com Keywords: Vegetable lubricating oil, Viscosity-temperature characteristics, lubrication property Abstract: The reduction of oil reserves will cause the exhaustion of mineral oil.
Product V40℃/（mm2/s） V100℃/（mm2/s） VI Coconut oil 6.55 2.05 107 Linseed oil 28.85 7.33 237 Grape seed oil 29.86 7.33 226 Soybean oil 31.34 7.61 226 Sunflower seed oil 31.58 7.65 226 Rice bran oil 31.83 8.08 244 Cottonseed oil 32.52 7.71 220 Castor oil 34.07 8.01 221 Corn oil 34.08 7.88 214 Canola oil 35.23 8.12 216 Rapeseed oil 35.30 8.14 216 Peanut oil 35.96 8.25 216 Sweet almond oil 38.51 8.50 207 Olive oil 38.54 8.24 197 Palm oil 39.79 8.41 195 500SN 102.20 11.10 93 It can be derived from the viscosity data in Table 1 that in addition to the coconut oil, the viscosity values of most vegetable oils are similar, the viscosity value at 100℃ is mostly in the range of 7.0 mm2/s to 9.0mm2/s at 40℃, and the viscosity value is from 28 mm2/s to 40 mm2/s.
The viscosity index is mostly over than 200, the test data in the table, except the viscosity index value of the coconut oil is 107, and the values of the remaining vegetable oil are from 195 to 244.
These data suggest that the vegetable oil has excellent viscosity-temperature characteristics.
Product PB(1450r/min)/N PD(1450r/min)/N WSD(30min,392N)/mm WSD(30min,588N)/mm Coconut oil 372 1235 0.779 - Linseed oil 784 1568 0.565 0.676 Grape seed oil 745 1568 0.570 0.756 Soybean oil 745 1568 0.569 0.728 Sunflower seed oil 745 1568 0.529 0.752 Rice bran oil 686 1568 0.584 0.731 Cottonseed oil 784 1568 0.557 0.711 Castor oil 745 1568 0.545 0.699 Corn oil 715 1568 0.588 0.724 Canola oil 745 1568 0.561 0.728 Rapeseed oil 715 1568 0.557 0.717 Peanut oil 745 1568 0.546 0.648 Sweet almond oil 686 1568 0.583 0.766 Olive oil 627 1568 0.553 0.736 Palm oil 657 1568 0.511 0.617 500SN 451 1235 0.640 0.922 Table 2 lists the bearing capacity data of the vegetable-based oil, it can be seen from the test results that except the coconut oil with small viscosity, the maximum non-seizure load of the vegetable-based oil is mostly about from 627N to 784N, which is higher than that of the contrast sample mineral base oil 500SN, reflecting that the vegetable-based oil generally has excellent oiliness and

It is easy for people to complete the computation whether data is regular or not [4].
The model essentially accumulates raw data to generate regular column.
The GM(1,1) model is as follows: Data Processing.
We can obtain new data columns by accumulating original data columns
This model can simulate data more accurately.

The wind data should be managed with right method; it would affect the results of the wind resources evaluation.
For the wind data management, some rules have prescribed definitely the methods about the wind power resources evaluation.
In general, the wind data includes the validating, correcting and calculation parameter of the wind resources evaluation.
Mardia.Statisties of directional data.
Statisties of direetional data (with discussion).