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For example, microclimate adjustment, noise reduction , air purification , dust stagnation ,soil and water conservation and many other ecological functions[1-4].
Selected 3 samplings for each shading situation, measured once every two hours from 8:00 am to 6:00 pm, then took 3-10 sets of data for each sample , drew diurnal variation curves of photosynthesis and transpiration to calculate the carbon fixation and oxygen release per unit area as well as transpiration and heat absorption per unit area of the two plants. 1.2.3 Determination of the dust-removal abilities After a week of rainfall, some leaves were collected randomly in selected plots, with three replicates, sealed and took back to the laboratory , which was washed with distilled water , filtered , weighed separately and recorded as W.
Compared with the previous measured data ( Table 1 ) , both the leaf area indexes were in the middle level .
As far as Dust-removal effect , the green period of G.longituba is 190 days , while V.philippica’s is 150 days ,100m2 G.longituba can retain dust 2.86kg per year , while 100 m2 V.philippica can retain dust 13.63kg per year. 3.3 The data obtained in the experiment are estimated theoretically , if the changes of oxygen and carbon dioxide levels over or near the ground cover plants ,as well as changes in humidity and temperature ,could be measured, then the ground cover plants improving environment could be described even more intuitively .

The identification of the crystalline phases detected by the XRD analysis was carried out using data obtained from the Joint Committee of Powder Diffraction Standards (JCPDS data base).
The analysis of the calculated data (Fig. 4) shows that an increase of the swelling coefficient and thermal conductivity coefficient from 2.5 to 15 and from 0.03 to 0.3 W∙m-1∙K-1, respectively, result in an increase of the thickness by 6 times.
Furthermore, a decrease of the volumetric specific thermal capacity at constant pressure from 3∙105 to 3∙106 J∙m-3∙K-1 results in a reduction of the thickness of the geocement-based material by 10%.

Results The data obtained from each experimental group were submitted to statistical analysis using one-way ANOVA and Tukey’s test, with a significance level of 5%.
To obtain the data, the author used a rugosimeter with cut-off of 0.8, reading length of 2.0 mm and velocity of 0.3 mm/min, obtaining values of 0.06 ± 0.01 μm for the control group and 1.22 ± 0.07 μm for the etched group with 10% HF [4].
This is due to an increase in the surface area, high free surface energy of the ceramic and reduction of the angle of contact between solid and liquid, which favours the penetration of the liquid, increasing adhesion [5,10].
Conclusion Based on the data obtained from this study, it can be concluded that the surface etching time of the lithium disilicate was sufficient to generate surface irregularities that favoured the increase of the bond strength.

Energy consumption data is mainly from China energy statistical yearbook.
Tab. 1 Average coefficient of carbon emissions in northeast China Provinces Liaoning Jilin Heilongjiang The average coefficient of carbon emissions 0.7275 0.7297 0.6928 Higher than the national average/% -1.6759 -1.3786 -6.3657 Note: the national average coefficient is 0.7399, negative represents lower than the national level, The data comes from the China energy statistical yearbook from 1997 to 2011.
From these data we can infer population size will play a minor role in increasing the carbon emissions of northeast China.
This implies that energy efficiency is the most important factor in slowing industrial carbon emissions and the most feasible key factor in achieving the goal of carbon reduction.

Likewise, throughout the paper the study is based on experimental data gathered when testing a vehicle that has onboard computer, transducer and actuators that are already building since fabrication and using specialized data acquisition equipment.
Information theory The information analysis of vehicle dynamic behavior, based on experimental data gathered during test-runs, allows for establishing the relevant parameters that define vehicle movement, so those parameters that need to be taken into consideration when establishing mathematical models.
When a certain system evolves, entropy is at its maximum when the systems find itself at a static equilibrium; so a dynamic system behavior, characterized by the reduction of its entropy ensures a good prediction, better than the case of static system.

With the further reduction of the axial height (z/T), w attenuates quickly along the axial, and the position of maximum axial velocity moves to the direction of 2r/D increasing.
Through the analysis of the experimental data, the boundary linear expansion equation of upward axial flow can be expressed as Eq. (1).
The experimental data shows that fluctuating velocity values of the impeller discharge flow are significantly higher than the main loop region, turbulence intensity of impeller zone and impeller discharge flow region is bigger.
As there are only tangential and axial velocity components in the data of the experiment,so we assume local isotropy,than Eq. (2)can be simplifiedasEq. (3).

At small set rolling reductions, the observed pressures are generally between 85MPa and 260MPa.
Nominal stress-strain data for aluminium alloys Table 3.
Summary On the basis of the compression data analysis the quantitative relation of the material’s yield stress in function of the kind and content of alloying elements was demonstrated.
Similar conclusions can be reached by analyzing the data of changes in the hardness during cold rolling and the values of average pressures, obtained in the process of cold rolling.

Literature data indicates that, depending on seasonality, the content of phlorotanins in F. 
Vesiculosus, w = 60 % Vacuumation to 50 mbar 5 min exposure at 50 mbar Filling of reactor with CO2 to 3 bar 5 min exposure at the selected temperature Heat to 100 °C Reduction of excess pressure Treated F.
Retention time, min [M-H]- (m/z) Identified compounds 0.49 497 Fucodiphlorethol (a phlorotannin tetramer) 0.32 511 Eckol tetramer with one additional hydroxyl group 0.40 1055 Eckol octamer with four additional hydroxyl groups 0.45 869 Fucophlorethol with seven phloroglucinol units 0.32 621 Fucotriphlorethol Based on the literature data about high antioxidant and antibacterial activity of phlorotannins [5], we evaluated the antibacterial activity of the extract (CEE).
The data on antibacterial activity allow us to recommend F. 

From statistical data analysis (p <0.05), the polynomial quadratic equation which indicated the significant effects of fabrication variables on the hydrogel properties was generated.
hydrogel dressing in Box-Behnken design Run Variables Observed responses A B C Y1 Y2 Y3 Y4 Y5 Y6 1 20 3 50 0.638 195.99 0.350 69.39 108.59 15.40 2 15 3 30 0.028 62.70 0.048 81.40 48.55 46.46 3 17.5 3 40 0.136 117.72 0.139 77.29 110.63 31.39 4 17.5 2 50 0.141 150.20 0.130 72.41 123.72 35.78 5 15 2 40 0.018 37.94 0.042 80.84 57.24 48.23 6 20 4 40 0.199 105.37 0.216 70.77 90.97 14.47 7 17.5 4 30 0.121 101.90 0.161 76.19 83.65 21.03 8 17.5 2 30 0.073 123.16 0.086 76.19 120.38 45.81 9 20 2 40 0.297 118.48 0.269 70.59 100.00 24.05 10 17.5 3 40 0.129 128.04 0.146 77.33 106.88 31.07 11 20 3 30 0.483 208.15 0.291 73.29 104.22 17.91 12 15 4 40 0.019 79.63 0.033 79.11 80.71 28.53 13 17.5 4 50 0.153 167.42 0.143 73.37 120.80 27.89 14 15 3 50 0.024 90.09 0.033 79.53 63.16 45.73 15 17.5 3 40 0.129 111.64 0.161 76.06 108.57 33.94 16 17.5 3 40 0.120 99.52 0.146 77.87 102.70 34.87 17 17.5 3 40 0.111 104.45 0.131 76.92 100.55 30.95 Multiple regression analysis (p < 0.05) was performed on these response data
Water content reduction was predominantly affected by PVA concentration (A), followed by extract loading (C) and freeze-thaw cycle (B), respectively.
This results corresponded to Young’s Modulus data that higher PVA concentration, higher extract loading and greater cycles of freeze-thawing provided higher strength hydrogel structure with lower erosion.

The first step is the length reduction of the input signal by means of the truncation in the Fast Fourier Transform (FFT) domain followed by the application of the inverse FFT guaranteeing a suitable time-domain down-sampling.
In addition, the work in [6] a new method has been developed to detect the QRS complex and arrhythmia classification based on the ECG data.The proposed method is based on the Discrete Wavelet Transform (DWT), Delta Sigma Modulation (DSM) with local maximum-minimum point algorithm for R peak detection.
The work in [11] is based on a fully convolutional network this method is based on: the FCN model for detecting QRS complexes in the ECG signal, the generation of ground-truth data to train the FCN model.
Accordingly, the obtained result confirms the efficiency of the algorithm in term of significant execution time reduction according to the same accuracy as the conventional slower algorithm.