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However, the reduced concentration of reactant leads to the formation of a small number of crystal nuclei at the inlet of the microreactor.
In addition, small total fluid flow makes long growth time and large particle size of the grains.
Reynolds number of the fluid was calculated as Eq. 1: Re = rdu/m (1) Where Re is the Reynolds number, r is the density of the fluid, d is the diameter of the tube, u is the velocity of the fluid, and m is the viscosity of the fluid.
As can be seen from Figure 6 (B), the change of Reynolds number has little effect on the prepared particle size.
The absorption peak at wave number of 423.26 cm-1 is caused by the vibration of Fe-O bond, which is the characteristic absorption peak of Fe3O4.

This micrograph shows that the as-prepared powders are characterized by aggregate grains with a porous appearance.
Particle sizes were not determined from the micrograph due to high aggregation of grains. 20 30 40 50 60 70 80 90 Y3Al5O12 cubic (842) (640) (642) (444) (532) (800) (422) (321) (400) (521) (420) Intensity (a.u.) 2θ2θ2θ2θ (degree) Fig. 3 Scanning electron micrograph of Y3Al5O12:Eu 3+ powders synthesized at 1100°C for 15 min.
According to dispersion equation, thickness and refractive index are important parameters to give the number of propagation modes of a planar waveguide [17].
According to the MLS requirement, at least 2 propagation modes are necessary to carry out the measurement; therefore, a sufficient number of stacked layers have to be coated in order to satisfy these conditions.
Since the optogeometric parameters of films strongly depend on sol's behavior, different numbers of layers are required to be deposited for an elaborated sol in order to obtain a desired number of propagation modes.

This waste can be processed and used as non-metallic raw materials in a number of industries, for example, in metallurgy or the production of building materials.
Mineral technological waste generated during ore enrichment is enriched with a number of chemical elements that the ore possesses.
Some researchers propose dividing silicate waste according to the number of basic and acidic oxides, and carbonates into calcium and magnesium waste [3].
Fine studies of man-made mineral waste using JEOL determined the shape and size of grains, the size distribution of grains and phases, the distribution of chemical elements, the phase composition of samples, as well as the chemical characteristics of the transparent cross-sectional area.
It is worth noting that a number of samples contain magnetite (8.3-10.9%) and pyrite (2.4-3.0%), as well as plaxioglaze (5.1-13.8%), which indicates a rich mineral and elemental composition of waste.

Although there is an increasingly number of the studies which pay close attention to regional spatial heterogeneity problem of cultivated land resources change, as a whole it is still inadequate.
Because Poyang Lake Ecological Economic Zone is an important commodity grain base, the changes of cultivated land and its influence mechanism research are important subjects.
The formula of Global Moran’s I is as follows: ， ，i,j=1,2……，n (1) Where n is the number of study objection ; xi and xj are the variable of interest, is the meaning of and is an element of a matrix of spatial weights W, which is the number of spatial units indexed by i and j.
It is clearly inconsistent with the Poyang Lake Ecological Economics Zone as the breadbasket of the famous and important commodity grain base status.
The number of cultivated land’s global Moran index was higher than 0 in the study area from 2002 to 2009, which indicating that there is an obvious spatial correlation of the distribution of cultivated land of 25 counties in the Poyang Lake Eco-economics Zone.

Soil index properties include (grain sizes particles, OMC, MDD, Cc, Cu, D10, D30, D60, % Gravel, % Sand, % Fines) used as an input parameter. 36 soil samples are adopted in this study.
The angle of shear resistance between soil and pile shaft, the standard penetration number (N), length of pile, and the diameter of the pile are used as an input parameter in the third model.
In this case, by changing some system parameters such as the number of the hidden layers.
Then, the number of hidden layers increases and decreases and run the network to observe the optimal structure of the network.
The sequence followed to select the optimal structure is applied to the various numbers of input variables.

Sampling temperature, which is one of the important parameters, has been found to influence the releasing rate of the volatiles from rice grain and could be optimized to obtain the best results.
Although a large number of odorous molecules in the rice aroma have been determined, only a few have been found to contribute to the characteristics of rice aroma [1].
Sample temperature, which is one of the important measurement parameters, has been found to influence the releasing rate of the volatiles from the rice grain and can effect to the e-nose results.
For future prospect, we need to increase a number of components in the sensor array to improve efficiency of the e-nose as well as to develop a commercial prototype.

The grain accumulation and distribution theory is studied by the predecessor.
Considering the large number of the aggregates, a conversion program to extract the model data from Matlab to Ansys is also established.
The number of each level particle is w1, w2 … wn .
Considering the large number of the aggregates and their irregular distribution, it is unpractical to build the model by GUI operation in Ansys.

This model agreed very well with measured pressures in a capillary rise experiment conducted in a coarse-grained SiO2 sand.
Capillary tree fractal networks provide an efficient way to connect one point (source or sink) with a very large number of points (area or volume) and can effectively be used in several applications [10].
The fractal dimension can be obtained by dividing space occupied by the network into small pieces and count the number of pieces needed for covering it [12].
The Hausdorff-Besicovitch dimension, dfractal, is given by (6) Thus, (7) Equation (7) relates the branching number m to the scale factor α through the fractal dimension dfractal.

Surface morphology and grain size were revealed in accordance to SEM and AFM.
The peaks with wave numbers of 765 and 959 cm-1 are ascribed to the stretching vibration of Sn-S bonds [4].
From FTIR spectra of SnS films, the peaks with wave numbers of 765 and 959 cm-1 are ascribed to the stretching vibration of Sn-S bonds.
Acknowledgments This work is supported by King Mongkut’s Institute of Technology Ladkrabang under grant number A118-59-038.

According to the incompleteness statistic, the number of construction garbage has occupied 30%-40% of the whole city garbage[1] .
The large numbers of construction garbage occupied a great deal area for keep ,environment pollution ,the waste of plantation have been one of the social effects of pollution in the city .And at the same time ,the fast development of construction must drive the development of construction material industry .Construction material industy always is a large consumer of energy sources and resources[2] .Such as ,the production of the primary construction material –cement, concrete, needs a great deal of clay ,limestone and rock materials exploitation .
The improvement of grain shape and the election of excellent row of interiority of consistency, meet the needs of preparation of regenerated concrete.
In the Figure, N on behalf of natural aggregate, C on behalf of coarse aggregate, S on behalf of fine aggregate, numbers indicate the percentage content.