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In both locations, the fine grain microstructure generated by FSP can be observed.
There is significant grain growth or abnormal grain growth (AGG) in the area highlighted in black, while the area in red maintains a similar grain size.
Figure 7: Abnormal Grain Growth vs.
Figure 8: Abnormal Grain Growth vs.
Afterwards, the number of cavities in each sample was measured.

Finally, the paper compares the predictions obtained by the ANN with those given by a number of traditional methods.
It is the sum of: (i) elastic compression of the soil skeleton, which occurs quickly and is normally small, and (ii) consolidation or volume change due to the expulsion of water, which occurs quickly in coarse-grained soils but slowly in fine-grained soils [4].
On the other hand, a small learning rate requires larger number of epochs, but it has less chance to disrupt the direction of learning.
The number of nodes in the hidden layer was determined by several BNN trainings performed with the different number of hidden nodes.
Table Ⅲ shows the comparison of the predictions obtained by the ANN with those given by a number of traditional methods.

Delgado), Grain Boundaries and Interfaces: Structure, Thermodynamics and Diffusion Properties (by B.
The large number of presented papers emphasises the considerable academic and industrial interest in the conference theme.

Introduction As one of the three major grain varieties, the yield of wheat takes the second place in the world (just alter corn), mainly produced in Asia, Russia, North America and Europe.
In China, wheat is an important food crop after the rice, accounting for about a quarter of the total grain output.
The node is the actual output of the output layer , where the activation function of each node uses a sigmoid function , Then, the error function can be represented as , where the number of input layer neurons is is the number of output layer neurons, is the number of training samples.
(1) Set the iterative counter COUNT=0, choose an exit SETCOUNT for iterative number which is not optimal.
The number of nodes in the hidden layer is 6, and the number of ants is chosen as 20.

The number of passes n for the unidirectional stretching of the tape blanks was equal to 10.
The indicators of plasticity were obtained by recording the number of bending-and-unbending tests using rollers with a diameter of 5 mm.
More significant is the dependence of the change in the number of bending-and-unbending tests.
Clear grain boundaries, tangles of the dislocations, and also multiple annealing doubles are visible.
The indicators of intermittent decomposition with precipitates along the grain boundary are obviously recorded [13-15].

Background Jilin is a large agriculture province in the underdeveloped area with an annual grain output reached 31.71 million tons ranked fifth in China[1] and 5.16 tons capita grain production [1].The study of agricultural development and the living conditions of farmers in Jilin Province have great scientific value.
The western region in Jilin Province.The western region in Jilin Province including Baicheng,Songyuan region and the Siping area(See Fig.1).The total area of 60,167 square kilometers in the western region,accounting for 32.11% of the total area in Jilin Province[2], 22,087.67Km2 of arable land, accounting for 39.91% of the total cultivated area in Jilin Province, with a total number of 614 million rural population,accounting for 47.93% of the total population in Jilin Province and per capita arable land size of 9.72 acres / person, 50% higher than the average level of Jilin Province[1].The western regions have jurisdiction 16 county-level units,275 township unit and village-level administrative units 3154.
Table1.The basic survey data sheet of investigates and studies City County Town Name of village The number of issue/ recycling / recycling rate The number of people to participate in surveys Time of survey Bai cheng City Zhenlai County Zhenlai Town Jiefang Village 30/27/90% 15 July,2013 Tantu Town Teli Village 50/47/94% 15 July,2013 Daan County Sikeshu Town Shanwan Village 50/49/98% 15 July,2013 Song yuan City Ning Jiang Area Dawa Town Minle Village 50/48/96% 15 March,2013 Qianan County Suozi Town Mingzi Village 40/39/97% 15 August,2013 Yanzi Town Zezi Village 50/46/92% 15 August,2013 Sping City Lishu County Lishu Town Gaojia Village 50/48/96% 15 August,2013 Majialing Town Majiayoufang Village 40/38/95% 15 September,2013 Caijia Town Caijia Village 40/37/93% 15 September,2013 Present situation analysis of Western towns and villages construction in Jilin Province.Through a preliminary analysis, the research of present situation
While one-sided pursuit of economic growth, indiscriminate land clearing and freely grazing lead to grassland degradation and ecological environment severely damaged, which seriously affect the region's food production capacity and shake the original status of grain producing provinces, at the same time the living conditions of rural people in the Western region are severely influenced.
Value in construction , despise in management, leading to the delayed construction of the living environment.The problems of human settlements construction are mainly concentrated in housing, public facilities and infrastructure Firstly for housing quality, because of the differences in family economic conditions leading to differences in the quality of residential buildings, although the overall level of housing quality has improved, there are still some worse quality villages,such as Mingzi Village in Songyuan city, the number of mud huts of the village accounted for 68.18 % of the total number of residential living, there is a serious safety hazard.

The increase of strength (5) is connected with change of pellet porosity e (9) because of solid-phase and liquid-phase baking. e=1-(1-e1)×(1-e2) – pellet total porosity, where e1 – pellet porosity (external) and e2 – porosity of grains, composing the pellet (internal) are changing (reduction).
Only e2 - porosity (internal) of grains composing the pellet is taken into consideration, because the reaction of dissociation of carbonates proceeds directly in grains, composing the pellet (10), and as a consequence a strength reduction because of formation of weak oxide СаО (MgO) [2].
pressure of moisture in gas, Pa; mg is gas dynamic viscosity, Pa×s; ng is gas kinematic viscosity, m2/s; x is coordinate of pellet radius; y is coordinate throughout the height of the pellet layer; bw is mass-transfer coefficient, kg/(m2×s), determined from criteria equation of mass-transfer in the layer NuM=2+0.83Re0,53PrM0,33Gu0,135, where NuM=bw(2r)/D, PrM=ng/D, Gu=(Tg-q*)/Tg, D=0,216×10-4(Tg/273)1.8; fуд = 6(1-eс)/(2r) is specific surface area of pellets in the layer; τ is time, s; is heat-transfer factor from the surface, W/(m2ЧК); ; is volume heat-transfer factor, W/(m3ЧК); eс is layer porosity; g is mass of the melted part of the pellet, kg; lm is thermal conductivity ratio of material, dependant on material temperature Tm and reaction extent , W/(mЧК); lg is thermal conductivity ratio of heating gas, dependant on temperature Tg and moisture content xw, W/(mЧК); g is the value of specific surface energy, J/m2; = h is reaction extent to n-relaxation; d is diameter of crystal grains
formed in the process dissociation of carbonates, m; Е is modulus of rupture for the composite of carbonate constituents, glass phase and the rest of the matter, N/m2; s is strength N/m2 (kg/ok); sк is ultimate strength N/m2 (kg/pellet); e=1-(1-e1)×(1-e2) is pellet total porosity, e1 is pellet porosity (external), e2 is porosity (internal) of grains composing the pellet; rM is radius of grains (baked particles) composing the pellet, m; sT is surface tension coefficient, N/m; is viscosity of the pellet material, PaЧs; Еm is activation energy of viscous flow, J; F is pellet surface area, m2; QL is specific heat of melting, J/kg; QS is specific heat of evaporation, J/kg; r is pellet radius, m; y=(x/r)3 is relative degree of spherical particle (pellet) dryness, where x is radius of evaporation front, m; is temperature of wet bulb thermometer is calculated from the equation:=Tg-1916,6667×{0.622/[163,80016×exp(-17.3×/[+235])-1]-xw}; t is melting (virtification) temperature, К, which depends
Optimal control of target processes in the layer taking into account received data and on the basis of the represented mathematical model will make it possible to maximally reduce the number of returns and to provide resource-saving and energy-saving conditions for functioning of firing assemblies.

Currently a number of research groups including our own have launched investigations to clarify some of these mechanisms (see papers [3-6]).
The microstructure shows the typical �-Al grains (white) surrounded by a dark silicon-rich phase.
Many of the grain boundaries are probably identical to former powder particles as can be seen from the grain near the cell wall marked with ‘X’.
The silicon-rich melt accumulates preferably near such oxides thus forming the observed grain boundaries.
The grains have grown slightly as compared to stage B’ and the silicon distribution map (right column) shows that silicon is spreading and forms increasingly larger Al-Si regions.

(ii) At the level of the Reference Elementary Volume (REV) in a single crystal or in a grain of a polycrystal.
(iii) In the polycrystal the REV can contain some grains at the macroscale of the structure.
The different variants of martensite can now be described by the matrices iU , ν...1=i where ν is the number of martensite variants.
The above outlined procedure used to calculate yield surface of polycrystal is purely phenomenological: 1) A polycrystal constitutes an aggregate of n grains (n chosen equal to 1000) with a random orientation distribution meaning an isotropic behaviour or the distribution delivered by the calculation in [12] for rolled or drawn textures.
The interactions between the grains are not taken into account. 2) Under a given stress condition 0σ for each of k grains (k=1…n) and among the νpossible variants, the one presenting the highest factor K is selected.

The PP grains are heated in the first stage in nitrogen at 120oC, for the elimination of the water adsorbed by the PP and catalyst and than; the degradation takes places at 380oC.
Table 1: PP degradation products at temperature of 380oC in the absence/presence of SiO2/Al2O3 [9] Degradation products Thermal degradation In the absence of catalysts SiO2/Al2O3 (VPC*) SiO2/Al2O3 (LPC**) Gaseous 24.7 % propene 70% etan 28% 35.0 % 24.8% butene 57% propene 30% Liquid 64.9 % 54.5 % 68.8 % Residue 10.4 % 10.5 % 6.4 % Degradation time [min] 800 800 350 ***NBr 66.7 90.3 94.0 *LPC – liquid phase catalysis ** VPC – vapor phase catalysis ***NBr = Bromine number of liquid phase (g Br2/100 mL sample), measure the degree of unsaturation.
Ø sample 2 formed from 75 % PP and 25 % PE - weight of refrigerator - initial Gir2 = 227.8 g - weight of Erlenmeyer flask - initial Gie2 = 132.59 g - weight of pyrolysis vessel - initial Gib2 = 53.59 g - weight of PP+PE grains G2 = 60.54 g The weighting at the final of the process leads to the following results: - final refrigerator weight with traces of liquid phase Gf12 = 227.9 g - final Erlenmeyer flask weight, with liquid phase Gfe2 = 188.47 g - final pyrolysis vessel weight with solid residue Gfb2 = 53.76 g ηlich2 = [%]
Ø sample 3 formed from 50 % PP and 50 % PE - weight of refrigerator - initial Gir3 = 234.7 g - weight of Erlenmeyer flask - initial Gie3 = 132.59 g - weight of pyrolysis vessel - initial Gib3 = 53.59 g - weight of PP+PE grains G3 = 38.00 g The weighting at the final of the process leads to the following results: - final refrigerator weight with traces of liquid phase Gfr3 = 234.8 g - final Erlenmeyer flask weight, with liquid phase Gfe3 = 167.29 g - final pyrolysis vessel weight with solid residue Gfb3 = 53.67 g ηlich3 = [%]
Ø sample 4 formed from 25 % PP and 75 % PE - weight of refrigerator - initial Gir4 = 234.8 g - weight of Erlenmeyer flask - initial Gie4 = 132.65 g - weight of pyrolysis vessel - initial Gib4 = 53.75 g - weight of PP+PE grains G4 = 40.00 g The weighting at the final of the process leads to the following results: - final refrigerator weight with traces of liquid phase Gfr4 = 234.95 g - final Erlenmeyer flask weight, with liquid phase Gfe4 = 168.41 g - final pyrolysis vessel weight with solid residue Gfb4 = 54.65 g ηlich4 = [%]