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Experimental data analysis show that, in a mixture of H2O-D2O, each population participates differently to the solution process.
The process of one electron-Oxygen reduction proceeds in several steps, which lead to the production of two water molecules which belong to the population that is localised at the interface of the coherent domains, and this increases its number beyond what may be expected.

A few conclusions are obtained by adopting proper hydraulic curve soil water characteristic curve and compared with actually measures data.
The Figure shows that the plastic zone appeared in the lower part of slope body first, then gradually extended to the internal of the slope, eventually throughout the entire slope and forming a semi-circular with the reduction factor increases.

And we predicted the agricultural sources of emissions of AN and COD with the data from 2008 to 2010.
Because these models demand high data quality, however the basic data are insufficient in China now.
Meanwhile, by inputting data from 2008 to 2010, the model will be used to predict the agricultural source pollution emissions of AN in Jilin province.
Meanwhile, by inputting data from 2008 to 2010, the model will be used to predict the agricultural source pollution emissions of COD in Jilin province.
And under the condition lacking of data, compared with farmland scale model and watershed scale model, bionic BP neural network model is more feasible.

n=(Zα)2×19×Cpk2+121-CpkCpk2 (1) Then, check the normal probability plot of this data, the data can be represented by a normal distribution if P-Value is greater than the ⍺ at 0.05 [7].
Perform assumptions checking to ensure that the data roughly fits a model.
Evaluation result of Process Capability: Distribution of data is bell curve.
The result of Model Adequacy Checking is also acceptable (P-Value of Normality test is >0.05, Data is also independent and have stability of σ).
This data is also reliable because the measurement system is very low variation.

Additionally, a validation from the simulation through a comparison with the experimental data at similar conditions was performed.
The results presented a good agreement between the experimental and simulated data.
It was considered also, that the oxidation and reduction reactions were in equilibrium.

This software is capable of establishing a mesh for reinforced concrete structures and steel-concrete composite structures, picking up the stress-strain data of each element, and analyzing the damage and cracked state of the concrete [8].
Fig. 3 details of the composite beams and FE model of composite beam Fig. 4a gives the load-mid span deflection curves obtained by FEM compared with the experiment data.
The computed strain history of the steel bar in the mid-span and that of steel girder as well as the slip between girder and slab are compared with the experiment data in Fig. 4b, Fig. 5a-5b, respectively.
(a) (b) Fig. 6: (a) Details of continuous beam (b) FE model of continuous beam Fig. 7a shows the comparison of computed nonlinear load-deflection relation with the experimental data.
The proposed analytical approach matches the experiment data well.

Construction of remote diagnosis system based on Browser/Server mode The B/S model includes a presentation layer, function layer and data layer three.
The presentation layer is the user interface part of the application, charged with the user and application of dialogue function; function layer is equivalent to the application of the body, it is the specific business process logic coding program; data layer database management system, used to define, pipe and processing database and application responsible for the management of database connection, data read and write.
USER Data query Virtual training virtual assembly Virtual repair Remote repair System update Remote support system manufactory research academy leader Fig1.
Network diagnosis and repair decision will design, manufacture, installation, use, maintenance and management of organic through data link, achieve equipment safety, reliable operation of the accurate judgments of equipment fault reason, nature, position, the possible consequences of behavior.
[5] Wang W,Peng D M,Wang H G,Sharif H,Chen H H.Energy-constrained distortion reduction optimization for wavelet.based coded image transmission in wireless sensor networks[J].IEEE Transactiom on Multimedia,2008,10(6);1169-1180

Following the procedure of data-driven approach, the degradation feature can be excavated from a large amount of historical data, and further be applied for state assessment [3,4].
(1) Based on monitored data of rolling bearing, N samples can be collected at a certain degradation state.
Case Study To demonstrate the effectiveness of the proposed method, the degradation test rig of rolling bearing is built on which the experimental data is collected.
The applicability of this method is verified by the experimental data.
Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring.

In general at very small region, the elastomeric stress-strain curve is often fairly linear, which quantify initial Young’s modulus (which follows Hooke’s law).Tensile test on carbon nanotube-reinforced silicone elastomers shows dramatic enhancement of initial E-modulus as a function of loads up to a strain value of 10% accompanied by reduction in ultimate properties [4].
Both force and stretch were measured and the data are plotted in Fig.3.
When & are assumed, then Eq.2 can be written as Therefore the least square error can be written as (5) Material constants for Mooney-Rivlin model are determined from the experimental force-strain data using least square optimization method.
Model predicted force-strain data are fitted to the experimental force-strain values and material constants =0.05848, = 0.206*10-5, K1=1.591 and K2=4.514 were found at a strain value of 1600%.
Elastic modulus at different stretch values (upto 1600%) was calculated by applying tangent method on the experimental data and model predicted data and shown in Table1.

In this paper, we consider the three-dimensional stress state of rock, choose the SMP failure criterion which is consider the influence of intermediate principal stress, establish the post-peak strain softening constitutive relations, obtaine the stress - strain curve curve of post-peak, compared with the data of diorite porphyry triaxial compression test from xiaoguanzhuang iron mining area, the results have a good consistency.
Post-peak constitutive model When rock into the peak strain softening stage, the structure is a unique structure, mainly show discontinuity on the mechanical and the conditional conversion, the rock mass strength is greatly reduce at this time, the extent of reduction is determined by the rock mass properties(internal friction Angle and cohesion ) and joints fracture surface characteristics.
When the rock reach the elastic brittle turning point , it into the formula (6) (7) (8) to get a unified expression of the residual stress and the confining pressure based the SMP criterion： (9) Analysis and discussion the experimental data The test equipment is the type MTS815.03 rock mechanics testing machine from IWHR Rock Mechanics Laboratory, the main technical indicators: Axial compression is 4500kN, Confining pressure is 140Mpa, Stiffness is 1800kN/mm.
Fig.5 Triaxial compression test the stress-strain curve Fig.6 Relationship curves of post-peak ε and φ Confining pressure and the residual stress from the test data regression analysis can get residual stress expression
Analyze the data of diorite porphyry triaxial compression test from xiaoguanzhuang iron mining area, calculate the elastic brittle turning point, and establish a more precise curve fitting formula(12) ; combined with the curve of the peak strain and the internal friction angle, draw out the SMP strength criterion in different confining pressures of stress-strain curve (Figure 7) ，compared with the experimental data, the result can be better to describe the mechanical behavior of the residual stress after the peak.