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Data were analyzed by SAS version 8.0 using ANOVA.
At 2.5% concentration, the aqueous extracts of G. bicolor, M. sativa and M. alba significantly reduced dry weight of wheat and the reduction ranged from 12.0 to 20.5%.
At 5.0% concentration, the aqueous extracts of G. bicolor, M. sativa, H. citrine, M. alba, C. reticulota, E. japonica, Z. schinifolium and T. sinensis significantly reduced dry weight of wheat and the reduction ranged from 14.0 to 53.5%.At 7.5% concentration, all aqueous extracts of hedgerow plants significantly reduced dry weight of wheat with the exception of E. binata and V. zizanioides and the reduction ranged from 17.0 to 88.5%.At 10% concentration, all aqueous extracts of hedgerow plants significantly reduced dry weight of wheat and the reduction ranged from 16.0 to 100.0%.The magnitude of reduction in dry weight of wheat increased with increasing the concentration of the extracts and statistically significant.

Their conclusions were: - a decrease in the natural frequency of the system when FSSI was considered; - an increase of the damping of the system, reducing the peaks in the seismic response; - the reduction in natural frequency was greater for slender tanks than for broad tanks, because the rocking component of the foundation motion was more important for slender tanks; - the reduction in peak response was more significant for short, broad tanks than for tall, slender tanks, because these type of tanks were able to dissipate more energy by radiation damping; - the effects of FSSI for convective modes were negligible.
For most interaction problems, the computational domain is divided into the fluid domain and solid domain, where a fluid model and a solid model are defined respectively, through their material data, boundary conditions, etc.
Maximum rotation of foundation is growing with the reduction of the subsoil stiffness.
Their higher concentration means a risk of a significant reinforcement cross-section reduction as the ions migrating towards the reinforcement increase its electrochemical corrosion and, at the same time, they cause concrete degradation due to crystallizing pressure.
Subsequently, the concrete covering layer disintegrates, the reinforcement becomes uncovered which then results in its cross-section area reduction and its static function decrease.

To minimize the impact of the global economic crisis that greatly distorted the resulting data, we calculate the SAX index for the period 2000 - 2010.
For the Slovak capital market is therefore possible to obtain the relevant data only from the last ten years.
A longer period allows to use more data, but the older the data, the weaker their importance.
Damodaran (www.damodaran.com) in the "Updated Data" section, but only the values for the whole Europe.
The calculated β values ​​therefore do not have such an explanatory power than the β coefficient calculated from the data of the developed capital markets.

And the acquired data is stored as point clouds[7].
The post-processing software is used to process the collection point cloud and image or convert the point cloud to other model data. 2.2 Point Cloud Data Processing In order to meet the requirements of 3D modeling in the underground geological park, the processing of discrete point clouds can be divided into three major steps: point cloud data preprocessing, point cloud data registration and point cloud data block[8, 9]. 1) Point Cloud Data Preprocessing This step contains noise reduction, interferential point removing(redundant points for cars, people, mechanical equipment and so on) and resampling.
However, the data from each station is independent.
Then we can get the complete topography of the underground geological park point cloud data under a unified coordinate system. 3) Point Cloud Data Segmentation The whole point cloud data after registration is very large.
Single Site Point Cloud Data Preprocessing Point Cloud Data Registration Coordinate Conversion of Point Cloud Data Block Triangular Grid Construction and 3D Modeling Model Optimization Incomplete Data Processing Model Simplification Model Merging Point Cloud Data Segmentation Control Point Data Fig.2 Workflow of 3D Modeling based on Terrestrial Laser Scanner 3 Experiment on Underground geological 3D modeling 3.1 Data Description This paper selects an underground geological park in Shenzhen as the experimental area.

Forces in the three directions are measured on the spindle with force spikes being observed when the tool changes direction at pyramid corners, and reductions in force when stepping between contours.
Fig. 4 shows new data on maximum forming angles for cones in AA3003-O for 12.7 mm (1/2 in) tool, fixed spindle speed of 800 RPM, and a maximum feedrate of 42 mm/s (100 in/min); the dashed line is the material thickness, 1.3 mm, under investigation for this paper; cones and pyramids are expected to fail at similar forming angles.
The forming tool is a rotating component, and it is necessary to have slip rings to connect the strain gauge bridges to their respective signal conditioners and the data acquisition system.
Estimates of the magnitude of bending forces can be obtained from the data.
For instance, the data in Fig. 7 gives an estimate of 150 N for the total bending force, which is obtained by summing Fb1 and Fb2.

Samples from the centre of the billet at Z plane described elsewhere [20 ] were scanned in Quanta 200 scanning electron microscope of FEI and data were analyzed using TSL (Texture Scanning Electron Microscope Lab) 5.1 software. 3.
The nature of low angle boundaries associated with the subgrains and the band walls which are essentially dense dislocation walls can be better understood from the misorientation angle (MA) distribution parameter delivered by the EBSD data (Fig.2(a)).
This is supported by average misorientation data.
The degree of grain size reduction is highest at low equivalent strain.

Introduction The analysis of seismic data is important for understanding the earth’s subsurface and is an important aspect of oil and gas exploration.
Because of the growing volume and resolution of seismic data, image processing is becoming a component of this process.
It can be used to simplify the image data, which is easy to be realized by hardware.
Acknowledgements This work was financially supported by the Youth Research Fund of Disaster Prevention and Reduction (201012), References [1] Won-Ki Jeong, Ross Whitaker and Mark Dobin. in: Interactive 3D seismic fault detection on the Graphics Hardware. edited by Eurographics Association 2006

"Energy conservation and emission reduction, and sustainable development", which is not only that the tasks must be completed by energy-intensive industries, but IT industry must also face the same problem.
Through different levels of virtualization technologies, the industry improves energy efficiency and reduces energy consumption, which is bound to reduce the economic cost, because energy cost is a major influencing factor for the life cycle cost of data center.
In the calculation process, consider the differences of base value, computer performance data is in accordance with the hours of conversion unit, the use of FLOP/3600 transform magnitude, so that the actual data is more reasonable with the environmental characteristics of multiple parameters of numerical calculation.

Although a number of investigators have reported on the effect of electric charge on the collection efficiency of fibrous filters, few quantitative data have appeared relating specific electrical forces.
A typical set of data of the filtering media penetration as a function of particle diameter in the first stage of the filtration is shown in Figs. 3 (a) to 5(a).
These data refer to the three levels of charge evaluated and filtration velocities of 0.05, 0.08 and 0.12 m/s respectively.
It was noticed a considerable reduction in penetration and small increase in a pressure drop when the particles were charged.

The reduction ratio of cold rolling was mainly varied to control the resulting grain sizes.
The internal variables and material constants prescribed in the constitutive relations (Eqs. 3 and 6) were determined by fitting the flow data as shown in Fig. 4(b).
Since the GBS is not expected at the upper and lower extreme flow stress levels, the GMD-only constitutive relation (Eq. 3) can be applied to the data of those regions, indicated as a solid line in Fig. 4(b).
The GBS flow was resolved from the total flow by taking the difference between the experimental data and the solid line in the mid region of flow curve, shown as dashed line in Fig. 4(b).