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Only a few factors can be covered, or a large number of experiment treatment analysis factors are needed.
However, strengthening the water resources management will play a more important role in increase of yields of grains and major crops in various areas in China because of the impact by climate change, engineering type water shortage and quality type water shortage in recent years, so, it will be necessary to further popularize the model in southern areas in China.
Extension of simulation objects The simulation objects of the crop model are basically dominated by grain crops, mainly including wheat and corn, supplemented by crops like soybean and cotton in some individual studies.

A considerable number of research investigations in the strain hardening behavior of ADI [2-4] have been conducted by employing tensile testing and different deformation experiments.
This interaction between ferrite and retained austenite depends on quantity, distribution and grain size of both phases and additionally the mechanical stability of the retained austenite.
· Samples austempered at high temperatures -ADI/375- have a greater tendency to produce strain induced martensite due to the large amount and grain size of retained austenite which reached up to 36%.

The prior austenite grain boundaries are decorated by a network of M23C6 particles.
Further, there are tiny precipitates of minor phase, present both on grain boundaries and on former martensitic laths.
Hattestrand and Andren [10] found that the number density of Laves phase particles is higher in creep tested P92 steel compared to isothermally aged material.

By the early 2000s, restructuring the PNGV was recommended [2] due to its progress and changes in the USA market for automotive passenger vehicles from mainly autos to more sport-utility vehicles, vans and light-duty trucks; advancement of automotive technologies elsewhere in the world; and the realization that full fuel efficiencies associated with PNGV technologies would not be realized in large numbers until breakthroughs rendered them more cost-competitive given the relatively low costs of fuel in the USA.
Work is underway on this project to evaluate modifications to existing heat treatable alloys, combined with thermo-mechanical processing methods to produce a fine-grained SPF sheet with a post-formed heat treat response.
The development of a fine grain microstructure that remains stable at SPF temperatures generally requires a combination of alloy chemistry adjustment together with combinations of hot and cold rolling into sheet.

Owing to the truth that the method of the finite element analysis possesses the capability to treat with the intricate geometry, the intricate behavior of material, and the intricate loading circumstances that commonly met in the uses of the dental implants, a bigger number of the FEA investigations were performed to study the deigns of the dental implant [14].
a) b) c) Fig. 5 AFM results for Nano hydroxyapatite: a) 3D image b) 2D image c) grain distribution a) b) c) Fig. 6 AFM results for Nano titanium dioxide: a) 3D image b) 2D image c) grain distribution 4.1 Thermal Conductivity Results The prepared composites with varying types and weight fractions of nano reinforcement were tested to determine their thermal conductivity.

Presently known manufacturing methods of such items of equipment, for instance, stamping methods, have a number of technological problems.
Shear deformation and grain refinement in pure Al by asymmetric rolling.

Third, he used the theoretical values of D0 to call in to question [17] much published data on diffusion coefficients, suggesting that short-circuit diffusion paths, such as grain boundaries, had distorted many reports.
Fischbach [23] devised a number of penetrating and clarifying experiments and sorted deftly through a number of possible explanations to reach the satisfying conclusions that the increase in conductivity on deformation (the Gyulai-Hartly effect) is attributable to the break-up of vacancy complexes by moving dislocations, while a small charge flow after deformation is traceable to the creep of charged dislocations.
As one might expect, it brought him into contact with urgent technological developments and he, and his group, responded with a number of innovations and patents.
Beyond this point, the number of papers becomes too great to deal with, the number of excellent students too large to mention individuals, and the distinctions too fine for this review.
Nowick, The production and detection of a nonequilibrium number of vacancies in a metal, Phys.

For example, if the aim is to detect high energy photons, dense materials composed of high Z (atomic number) are preferred.
If Lu2O3 is available for scintillator, the high effective atomic number (69) and the high density (9.4 g/cm3) are attractive.
Of course, grain boundaries may affect scintillation properties, and further investigations are required.
The horizontal axis shows the event number which means the number of detected ionizing radiation.
When the radiation energy becomes large, the number of generated scintillation photons also become large.

”, a number of possible explanations have been offered by ecologists, such as “Ideal weeds characteristics” (Baker, 1965）[9], “Biodiversity resistance hypothesis(Elton, 1958)[10]”, “Enemies release hypothesis” (Darwin, 1859)）[11], “Evolution of increased competitive ability hypothesis” (Crawley et al., 1987）[12], “Niche opportunity hypothesis”(Shea and Chesson, 2002)[13] , “Novel weapon hypothesis”(Mallick, 2000) [14] and so on .
Triticum aestivum were purchased from Ningbo seed companies. the selected seeds of Setaria viridis grain weight 2 ±0.15g were used for the experiment.
Daily recording of the number of germinated seeds in each Petri dish was done and continued for 12 days.
Triticum aestivum and Setaria viridis seed germination were the following method to calculate the parameters: Germination rate = (Number of germinated seeds/100) ×100%; Germination vigour = (Number of germinated seeds in the first 7 days/100) ×100% Germination Index = ∑（Gt/Dt） Where, Gt: Number of germinated seeds after t: Days of cultivation and Dt: N umber of cultivation days.
Solidago canadensis seed germination were the following method to calculate the parameters: Germination rate = (Number of germinated seeds/weight) ×100%; Germination vigour = (Number of germinated seeds in the first 7 days/weight) ×100% Germination Index = ∑（Gt/Dt） Where, Gt: Number of germinated seeds after t: Days of cultivation and Dt: N umber of cultivation days.

Numbers of Neurons in Hidden Layer.
In order to optimize the network model, a number of topologies with different neurons numbers in hidden layer are tried in this paper in order to arrive at a topology which provides minimum effective error.
Comparing with errors, the optimum numbers of neurons are determined.
So the numbers of neurons in hidden layer are 11.
When the number of neurons hidden layer is 11, training error of network is 0.0171.