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The grain adjacent to the abnormal grain is a kind of incompletely recrystallized grain (Fig. 1).
However, grain boundary between abnormal grain and its adjacent grains is a high-angle boundary.
RD TD ND a)IPF RD TD ND a)IPF b)PF b-PF Fig.5 PF and IPF of the abnormal grain and its surroundings a) Inverse pole figure b) Pole figure The {100} <001> texture is cubic, indicating that a large number of grains are arranged in this direction.
b) Fig.11 CSL grain boundary near the abnormal grain a) Map of the orientation b) CSL number The growth of the abnormal grain depends on its coalescence with its adjacent normal grains by rotation.
Grains grow by grain-boundary rotation or bugling.

The grain sizes were measured by linear intercept method.
The numbers indicate the boundary misorientations in degrees.
CDRX Grain Size.
The transformation of low-angle subboundaries into high-angle grain boundaries results from recovery-assisted absorption of dislocations in the subboundaries, and the change in subboundary misorientation during deformation can be expressed as dq/de = (Ak/(2nGa2)) rsp [7, 16], where A is the fraction of absorbed dislocations, n is the number of dislocation sets in the boundary, and r is the recovery parameter (log r = -0.0026sp + 0.9698 [17]).
Langdon, Twenty-five years of ultrafine-grained materials: Achieving exceptional properties through grain refinement, Acta Mater. 61 (2013) 7035-7059

An elevated number of publications have shown the influence of microstructure on the wear of alumina-based ceramics, most of them focused on the role of the grain size [10-16].
Due to the large number of publications related to the doping of alumina and the influence that this factor have, it is essential an approach of this subject.
This causes a spontaneous fracture in the grain boundary for higher grains [22].
Moreover, the higher the ZrO2 amount the higher the Grain size of ZrO2 and the smaller the grain size of alumina, due to the power of drag exerted by the ZrO2 grains over the Al2O3 grains [23].
The small grains were β-Al2TiO5 particles and the higher grains were α-Al2O3 particles.

With increasing of number of passes, grain refinement and the fraction of high-angle boundaries continued to increase, which in the end was ~ 40%.
After more number of passes, the grain size has slightly increased, which is indicative of recovery and recrystallization (no detailed study was undertaken here).
The EBSD analysis reveals that as number of passes increases, the fraction of high- angle grain boundaries increases.
Comparison of Fig. 4(b) (after 2 passes) with Fig. 4(c) (after 4 passes) reveals that the number of sub-grains formed has increased in the latter.
Number of passes.

The results about the grain numbers at different locations can be seen in Table 4.
Those are the grain numbers in the simulated region 1024×1024 (W0).
Table 4 Grain numbers in the simulation calculated based on the experimental results Pouring temperature/℃ Grain number edge R/2 center 630 32 76 173 690 10 18 21 Results and Discussion The simulation and experimental results about the microstructure at the three positions in the slurry under the pouring temperature of 630 ℃ and 690 ℃ can be seen in Fig. 2.
Combined with the experimental and simulation results, it can be inferred that the number of nucleation directly affects the growth space and morphology evolution of grain.
The morphology of grains also can be changed from dendritic to equiaxed or even spheroidal by other methods such as adding refiner to increase the number of crystal nuclei.

Results showed that both of them have unique distribution, influence of temperature and chlorophyll a are obvious, the effect of grain size is relatively weak.
Results Spatiotemporal distribution of total number of bacteria Total number of bacteria distribution is shown in Figure 2-4.
Fluorescence content (µg/g dry sediment) Total number of bacteria (104cells/g dry sediment) Figure 8 Effect of temperature on total number of bacteria Figure 9 Effect of temperature on microbial activities The influence of grain size on the microbial distribution Relationship between total number of bacteria and microbial activities distribution with grain size (from the same period) as shown in Figure 10-11, and they are both has a unconspicuous negative correlation (r=0.2005, 0.3541), the results show that the influence of grain size on microbial sedimentary environment is weak, this may be related to sample soil structure type is relatively single.
Since most of the sample soil types are close to each other, showed the influence of grain size on microbial is relatively weak in the region.
Fluorescence content (µg/g dry sediment) Total number of bacteria (104cells/g dry sediment) Figure 10 Effect of grain size on total number of bacteria Figure 11 Effect of grain size on microbial activities The influence of chlorophyll a on the microbial distribution As the degradation part in the environment, bacteria obtained energy and matter through the degradation of organic matter to conduct organic synthesis, so abundance of bacteria always presents positive correlation with organic carbon content, and preferably using new production of organic carbon.

Fig.2 Restructured topography of a diamond grain 3D Grain Contour Protection Versus Reference Point Number and the Noise-removal.
Figure.3 shows the grain contour protection versus reference point number nr and the noise-removal threshold t.
Fig.3 3D grain contour protection versus reference point number and noise-removal threshold 3D Noise Generation.
It is also found that the larger the reference point number, the more the noise number.
Moreover, the larger the noise-removal threshold, the less the noise number.

Peasant household family characteristics include family initial land amount and migrant workers number.
The higher migrant workers number means the family has little surplus labor.
The higher the farmland comprehensive fertility, the higher yield the grain, the less possibility to outflow land.
Tieling city is located in northern Liaoning province, has rich agricultural resources, known as the granary of northern liaoning province, has four national commodity grain base counties, national major grain producing areas, national key commodity grain production base, high quality agricultural products production and processing bases[9].
Because of lacking labor force engaged in agricultural production, the more migrant workers number the family, the more possibility to outflow land.

In this paper we evaluate the effect of selected reductions on the longitudinal grain boundary orientation in cold drawn tubes, taking tube sample measurements and making necessary calculations of grain boundary orientation in selected planes.
From the number of intersection points of the grain boundaries per unit length of the test line (Saltykov method oriented test lines [2]) was calculated degree of orientation of the grain boundaries - the linear orientation according to the equation (2) and the planar orientation according to the equation (1).[3] (1) (2) Where: OL - linear orientation of the grain boundary (assumed direction of orientation - longitudinal) OP - planar orientation of the grain boundary (assuming the orientation direction - tangential) (PL)O - The number of the intersections per unit length of test line on the cross section in the radial (vertical) direction ϕ2, (PL)L - The number of the intersections per unit length of test line on the longitudinal section in the longitudinal (horizontal) direction - the direction of ϕ1, (PL)p- number of points per unit length of a line parallel to the direction of orientation (PO)L - The number of the intersections per unit length of
Example of calculating the orientation of the grain boundary As an illustrative example of grain boundary orientations in selected planes of drawing tube we are presenting results of evaluation of outsidesurface in the longitudinal direction.
The number of intersections of grain boundaries was PO = 248 on the vertical experimental lines.
There was a similar calculation of the intersection number of grain boundaries with parallel experimental lines PL=288.

Keywords: Hubei Province，Water Disaster，Grain Production，Grey Correlation Analysis Abstract: The grain fluctuation situation of Hubei was analyzed by calculating the grain fluctuation coefficient from 1990s.
Flood and drought, especially serious flood and drought will be bound to result in a significant reduction in grain-based agricultural products, with a large number of reduction in agricultural productions, and the reproduction of the agricultural disaster areas coming to a standstill[1] Xie Yonggang.
Hubei is a major grain production base, with grain planting area accounting for 55% of the total crops planting area, and the grain yield accounting for about 4.5% of the total output of the whole country.
Comparative sequence： m is the sequence number ，m=1，2，3……8 Reference sequence：；n is the years，n＝1，2 ……7 The second step: Normalize the raw data, namely divide each value of sequence by the initial value of sequence to generate initialization sequence.
Planting structure is a most decisive factor for grain productivity, defined by the percentage of grain area of total crop area, a indicator to reflect planting grain area.