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Research on Logistics Modeling Method Based on Complex Network Theories Deng Juli1,a, Chen Guorong2,b 1 College of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Shapingba, Chongqing, 401331, China 2 School of Electronic and Information Engineer, Chongqing University of Science and Technology, Shapingba, Chongqing, 401331, China acdcyh2005@126.com, bcwcgr@126.com Keywords: complex network; designing method of logistics network; logistics network; clustering coefficient.
Though the degrees tends to gather on one node because of “Matthew effects”, but the rate of edges decreased the tendency, finally, the network will form an hierarchical structure with location gathering as Fig.2.
Fig. 2 The logistics network with hierarchical structure Cases Study In order to check the model, authors put up an experiment logistics network model, table 1 shows the main parameter while the number of nodes evolves up to 20: According the data from table 1 and formula (3), we can see that the degree distribution of the logistics network obeys power-law distributions, and the curves of the degree distributions are power functions.
The degree of node run out of service while t=0, and the rate of edge acts as the kernel of the network; the Matthew effect lays the degree of node while t=1; the evolvement of the network lay on either degree of the nodes or the rate of the edges while 0structure, so, the hierarchical structure of multiple-structure is the results of degree of nodes and rate of edges from formula (3).

Due to the network structure of keratin molecules, in order to make reducing agents reach disulfide bonds easily, we need to dissociate the hydrophobic effect, hydrogen bonding, van der Waals force, salt linkage which maintain the spatial structure of the keratin molecules in advance or in the process.
The reducing agent TCEP (Tris (2-carboxyethyl) phosphine) has a structure as follows: With TCEP the reduction is apparently specific and nearly quantitative.
Under a strong alkaline solutions, not only disulphide bonds which stabilize the keratin structure but also the peptide bonds are destroyed.
Table 1 The result of dialysis Pore size of dialysis bag The weight of wool/g The weight of keratin/g Yield/% 3500D 2 1.60 80 8000-14000D 2 1.44 72 2.4 The Amino acid analyses Fig. 2 Comparison of amino acid composition between wool untreated and treated with TCEP The content of amino acid residues of wool fibers were decreased after the treatment, indicating that TCEP can play a certain role in the change of wool structure.
Patent: 2,261,094. (1941) [3] X.Y Qiu, M Cui, Z.Q Liu, Protein Disulfide Bond Determination and Its Analysis by Mass Spectrometry, PROGRESS IN CHEMISTRY. 20 (2008) 975-983

Preparation of TS-1 Monolithic Catalysts by Dip-coating Wenhao Yua, Libin Yang*a,b, Feng Xinb, Jianjun Yuana a Tianjin Key Laboratory of Marin Resources and Chemistry, Tianjin University of Science and Technology, Tianjin 300457, China; bSchool of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; yanglibin@tust.edu.cn Keywords: TS-1 deposited film, monolithic catalysts, dip-coating, pretreatment, cordierite honeycomb ceramics, washing out, immobilized Abstract.
Introduction Titanium silicate-1 (TS-1) discovered by Enichem[1] in 1983 is a redox molecular sieve with MFI structure, in which isolated titanium sites in the zeolite framework act as active sites for the oxidation of a variety of organic substrates using H2O2 as oxidant [2,3].
A simple approach to overcome this problem is to attach catalysts to a suitable substrate, such as α-Al2O3 tubes[7] and metal-based microchannel structure[8]. however, in that case, the drawbacks are stability of immobilized TS-1 catalysts particles has been much indeterminacy.
However, there are structures O-Si-O on the surface of cordierite support coated Na2O·3SiO2, that may support stronger force that may firmly immobilize TS-1 catalysts onto support has because of similar structure with TS-1 catalysts.
Dense film including structures O-Si-O was propitious to adhesion of TS-1 catalysts and cordierite supports.

Most passive micro-valves, or check valves, are incorporated in inlets and outlets of reciprocal displacement micro-pumps as mechanical moving parts, such as flaps, spherical balls or mobile structures.
In our study, SU-8 5 and SU-8 2100 were used as structure material, which are two SU-8 versions designed to produce thin (10-20) and thick (100-250) films respectively.
Structure of micro-valves can be promoted based on the results of analysis above.
However, simulating a complex three dimensional structure is very time-consuming.
One of the most promising applications of the micro-valves would be in life science and chemistry applications.

Polymer 3D-Printing for Fabrication of Ceramic Parts with Complex Shape BALABANOV S.V.a*, PEREVISLOV S.N.b, SYCHOV M.M.c Institute of Silicate Chemistry, Russian Academy of Sciences, St.
Introduction Triple periodic minimal surfaces are infinite structures with periodicity along three axes with zero mean curvature [1].
It was shown in that surfaces of the “Schwarz primitive” type are more durable and capable of absorbing more energy than traditional honeycomb structures.
Today, the most technologically advanced method for producing materials with such a complex geometric structure is the 3D printing method.
Shi, Mechanical response of a triply periodic minimal surface cellular structures manufactured by selective laser melting, International Journal of Mechanical Sciences, 148(2018) 149-157; [4] Abueidda, D.

Fractal surface of nanofiller particles (aggregates of particles) has complicated structure, included narrow fissures (“fiords”), pores and so on, where polymer matrix macromolecules fragment access is either difficult or impossible.
This capability is defined by fractal structure of the indicated surface.
Zaikov, Structure and Properties of Particulate-Filled Polymer Composites: The Fractal Analysis, Nova Science Publishers, Inc., New York, 2010
Zaikov, Structure of the Polymer Amorphous State, Brill Academic Publishers, Utrecht-Boston, 2004
Zaikov, The Fractal Physical Chemistry of Polymer Solutions and Melts, Apple Academic Press, Toronto, New Jersey, 2014

Effects of Oxygen-deficient Ambience Annealing on Polycrystalline Y2O3 Film Jinping Zhanga, Yuandao Chen, Guzhen Zhou and Jilin Lu College of Chemistry and Chemical Engineering, Hunan University of arts and science, Changde 415000, China.
From Fig.1 (A) to (C), the polycrystalline films annealed at 300oC~500oC, have uniform columnar structure on the substrate Si (001) [5, 7].
It has been observed that a multi-layer structure always stacks between the Y2O3/Si [10, 11].
The Si element that has past this interfacial layer would stay as a silicates layer above the SiOx layer, leading to a multi-layer structure.
Due to the complexity of the yttrium silicate structures[10], whether the Si4+ is in the form of oxides or silicate is unclear.

The reaction product is an amorphous gel, which expands in the presence of water creates a swelling pressure generating cracks leads to deterioration of the concrete and to the end of the cycle life of the structure.
εASG=(VASG -Vpores)/V (3) Likewise the numbers of aggregates Ng reacting are calculated as a volume fraction of the entire volume fraction of the structure.
The 2D implementation of the REV and the numerical calculation of the generated expansion is inserts and modeled using the power of FE to analyze the effect of the expansion on the structure of the REV.
Only those models solidly based on the chemistry, physics, and mechanics of ASR, however, are likely to yield realistic stress field, which is what ultimately concerns engineers.
Multon, et al., Concrete modelling for expertise of structures affected by alkali aggregate reaction.

The second carbonation model based on BP neural network The second carbonation process of sugar cane juice is a complicated physical-chemistry process, It is difficult to establish an accurate mathematical model of the process.
The structure of the model is shown in figure 1.
The expression of the network structure is: (1) n, m are the order of the output and input , they only decide to the network's input variables.
The structure of BP neural network It has the vital significance to control the color value in the clarifying process of sugar juice, which affects directly the quality of the purified juice, and inevitably the product’s quality.
The control of the model is pH value, valve position, temperature and flow of juice. set n=2,m=2, the structure of BP neural network that the second section carbonation modeling use is: the number of neurons of input layer is 16, the number of neurons of hidden layer is 100, the number of neurons of output layer is 1, anticipation error is 0.0001, cycle-index is 10000, learning rate is 0.08.

This paper does some research on raw materials, production process, the performance and structure of products of the new type of paper wooden compound pallets.
Table 4 The main technical performance indicators of edge sealing adhesive Index name Units Regulation A B Appearance Flakiness Flakiness Color Yellowish Yellowish Viscosity 170°C 150°C cps 3300 5800 1900 3000 Softening point °C 107 108 The structure and specification of product The structure of paper wooden compound pallets was similar to and yet different from traditional wooden flat pallets.
It can be seen from Fig. 1 that compound pallet’s typical structure consisted of 1 panel, 3 sill strip and 9 socles, and was similar to D4 wooden flat pallets which was one side load-bearing and four-way type [3,4].
According to the difference of materials and pallets structure, the maximum static load of the paper wooden compound pallets can achieve 3 t and the minimum dynamic load can reach 1 t.
Tang: Packaging materials and packaging technology (Chemistry Industry Press, China 1996) (In Chinese) [4] PRC National Standard GB/T 2934-2007 Through Transport General Flat Pallets & Main Size and Tolerances (China Standards Press, China 2007) (In Chinese) [5] W.G.