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The coastal forest is not only economically best in mitigating tsunami, but also acts as a natural way of tsunami disaster reduction [4,5].
The amount of energy reduction changes by the density, structure, and configuration of vegetation [10].
The crown part of vegetation is very important and strongly effects the amount of waves energy reduction in coastal regions.
Coast Eng Jpn 30(1): 143153 [7] Yanagisawa H, Koshimura S, Miyagi T, Imamura F (2010) Tsunami damage reduction performance of a mangrove forest in Banda aceh, Indonesia inferred from field data and a numerical model.
Wave reduction in mangrove forests.

The monitor data of 41 cities in our country indicated that 13 cities' groundwater have been polluted by nitrate, moreover the nitrate pollutant assumes a proliferation tendency to deep phreatic water day by day[11].
Figure 4 Nitrate concentrations（d=1.5cm） We may see from the data of above two groups that under the same condition of the anode and cathode material, the diameter of salt bridge and so on ,the influence rule of elimination effect on the length of salt bridge to the nitrate is that the relation between the speed of nitrate degeneration and the length of salt bridge is in reverse proportion, when the length of salt bridge is longer, the nitrate degeneration is slower.
Fig. 5 Nitrate concentrations（l=30cm） Fig. 6 Nitrate concentrations（l=35cm） Fig. 7 Nitrate concentrations（l=40cm） We may see from the data of the above three groups that under the same condition of the anode and cathode material, the length of salt bridge and so on, the influence rule of elimination effect on the diameter of salt bridge to the nitrate is that the relation between the speed of nitrate degeneration and the diameter of salt bridge is in forward proportion, the diameter of salt bridge is bigger, the nitrate degeneration is quicker.
Nitrate Removal from Groundwater Using Catalytic Reduction[J].
Nitrate reduction by zero valent iron: effects of formate, oxalate, citrate, chloride, sulfate, borate, and phosphate[J].

Two main outputs are ECCC data sheets and ECCC Recommendation Volumes.
Moreover, the test data are often sparse at low temperatures.
The resulting 2017 data set had collected test results 48 heats at temperatures range 550-700°C, with test-data extending to 150kh (failed) and ≈200kh (un-failed).
During the last 20 years, many materials have been considered, in terms of experimental data production, data collation and assessment, and microstructural characterization.
Further data collation aimed to full assessment ongoing [3].

The results of the optical lifetime measurements are discussed in relation to this reduction in QE.
However, for large Ce concentration, (see the data point at 0.65 at.% Ce in Fig. 4), the emission intensity is decreasing again, indicating nonradiative quenching. 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0 normalized emission intensity Ce concentration [at.%] coarse grained reference Fig. 4.
Since ηττ ⋅= rad , (2) where τrad is the intrinsic radiative lifetime, which is assumed to be independent of the doping concentration, the model in Eq. 1 can directly be applied to the data in Fig. 7. 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 30 40 50 60 70 80 90 100 optical lifetime [ns] Ce concentration [at.%] data fitted to Eq. 1 Fig. 7.
The dashed line in Fig. 7 represents the fit of Eq. 1 to the measured data.
The excellent agreement of the model and the measured data proves that concentration quenching is an important effect for the optical lifetime (since thermal quenching should be almost independent of xCe).

Then, the CAD data are transferred into CNC milling machine to manufacture the custom contoured cushion.
The data are saving as ASCII text.
Figure 1: Raw measurement data at the pressure sensing points (left), a better approximation of the seat contour using Matlab (right) Once collected, the data were then transferred into Matlab program to process the pressure distribution data transformation to obtain the deflection depth of the seating area.
Then the data were save as “txt” format and load into Rhinoceros software and a CAD model of cushion shape was built up by fitting NURSB surfaces of the measurement data.
Reduction of sitting pressures with custom contoured cushions.

Introduction High-strength steels [1 – 3] are often used in modern industry for reduction of metal intensity of the critical structures.
Three specimens were manufactured and tested for determination of each of the values, after what received data were averaged.
These data were used for plotting a diagram given in Fig. 2.
However, ductility indices (δ5, ψ) are obviously reduced in this case (1.7 time reduction).
However, it is 1.6 reduction of ψ index and KCV–40 in HAZ metal in comparison with Vw = 72 m/h.

The factors that affect the zone mentioned above include the can bottom thickness and the reduction in the area [1].
The deformation ratios of material in literature [1,2,7] was defined as relative: strain of can bottom thickness εh, reduction in area εA and homogeneous equivalent strain ε.
He analyzed the experimental change of the force for copper cans at the reduction in area εA=0,360-0,639.
On the basis of literature data [20] the stress-strain relationship was adopted for numerical modelling of cold backward extrusion of copper cans.
With the use Test&Motion software controlled by LaborTech electronic (external digital controller EDC), it was possible to present the experimental data in the form of graphs showing the values of forces as the function of displacement.

Then the entire assembly is rolled under a small reduction when heated to bonding temperature.
In rolling-diffusion bonding process, reduction is a key parameter influencing interface bonding strength.
Theoretical calculations were performed with above mathematical models, and the computation results were compared with experimental data. 1.
The microstructure obtained at the bonding region under reduction 13.1% for 30min is shown in Fig.2.
Vol. 40(1995), p.181 [14] H Mehrer: Numerical Data and Functional Relationships in Science and Technology ( Druckhaus Langenscheidt KG, Belin 1990)

For the 30% glass replacement was applied there was a reduction in the compressive strength at both ages 7-day and 28 day ages, as for 7-day age the reduction was 6.39% whereas at 28-day age the reduction in compressive strength was 8.8%.
The reduction is compressive strength can be explained as a result of two causes; the first cause is that the glass wastes has smooth surface compared to the normal aggregates and that leads to the decreased bond between the particles and the cement matrix and with increasing the percentage of glass the reduction in the compressive strength increases.
But overall, the reduction in compressive strength can be considered as insignificant one as the highest reduction percentage was less than 10% ( at 30% replacement ratio).
Compressive strength at 7-day age Type of specimen Weight (kg) Compression Test (KN) Compressive stress (MPa) Average (MPa) Control 8.200 567 25.25 23.77 8.032 532 23.64 8.11 505 22.44 10% Replacement 8.396 582 25.86 25.77 8.264 568 25.24 8.242 587 26.08 20% Replacement 8.170 567 25.2 25.35 8.249 592 26.31 8.240 549 24.4 30% Replacement 8.196 522 23.2 22.25 7.988 448 19.91 8.146 532 23.64 Although there was a reduction in the compressive strength for all mixes with glass wastes, but the reduction was minor as the maximum reduction occurred did not exceed 10%.
Sadiq (2018), “Experimental data on flexural strength of reinforced concrete elements with waste glass particles as partial replacement for fine aggregate”, Data in Brief Journal, Vol. 18, pp. 846-859

Compared to the old control software on these machines, nearly 70% of functions are reused in the new one, which leads to a reduction of the research and development time eventually.
Introduction Additive Manufacturing (AM) is a group of techniques used to quickly fabricate a scale model of a physical part or actual part using three-dimensional computer aided design (CAD) data.
This part adopts a tree control to display fabrication data.
The corresponding data is a tree structure with height 3.
Application cases show that, the reconfigurable control software works well on two different AM machines, and nearly 70% of functions are reused, which leads to a reduction of the research and development time eventually.