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Xu, Research of the adsorption behavior of PCBs in the environment, Environmental Science. 21 (2001) 454-458.
Xu, Influences of soil characteristics on the PCBs distribution soil of the modern Yellow River delta, Ecology and Environmental Sciences. 19 (2010) 86-91.
Guangxi Journal of Light Industry,140 (2010) 23-24.
Kastanekb, Combined decontamination processes for wastes containing PCBs, Journal of Hazardous Materials.
Jin, Polychlorinated biphenyls emission from a medical waste incinerator in China, Journal of Hazardous Materials. 172 (2009) 1339-1343

Bioplastics are plastics that are synthesized from natural materials, so that they are easily degraded by microorganisms.
Therefore, in the manufacture of bioplastic from starch, it is necessary to have additional materials such as plasticizer and filler.
Methods Materials.
Kuz, "Starch-Based Bioplastic Materials for Packaging Industry," Journal of Sustainable Construction Materials and Technologies, vol. 5, no. 1, pp. 399-406, 2020
Fakhar, "Response Surface Methodology: An Imperative Tool for the Optimized Purification of the Residual Glycerol from Biodiesel Production Process," Chiang Mai Journal of Science, vol. 44, no. 4, 2016

Using crosslinking shuttle methylation, as well as inorganic materials such as methods for blending the implementation of the modified chitosan can be introduced into the different nature of the functional groups of chitosan molecules, strengthening the adsorption of toxins.
The conventional adsorbent (activated carbon and resin product), natural chitosan based adsorbents wide sources of raw materials, low cost, multiple adsorption function groups, preferably hydrophilic, easy regeneration, etc..
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International Journal of Environmental Science & Technology1, p. 45- 50
Advanced Materials Research. (2011).

Finite element model of the Taper Leaf Spring Based on the linear elastic theory in Mechanics of Materials, the traditional analysis of the leaf spring implemented a simplified mechanical model.
It is believed that the errors came from the assumption of isotropic materials in the FEA simulation.
Journal of Fuzhou University,2001,1:56-59
Finite element analysis of sub-transmission case based on dynamic analysis[J].Journal of Central South University:Natural Science,2006, 37(4):769-774
Journal of Hunan University: Natural Science,2006,33(4):42-45

Introduction Information and data concerning environmental action and materials resistance are necessary for structural life cycle design.
(Science Press, China, 2006), p.26-37 (in Chinese)
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Construction and Building Materials, Vol. 21 (2007), p.2031-2040
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Tool shoulder has friction with the top surface of the plates and compresses the friction stirred materials.
Thermal and plastic behaviors of materials can be characterized using constitutive equations mathematically.
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Dawson: Modeling and Simulation in Materials Science and Engineering, printing (2007) [7] Y.S.
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Materials and Methods Study site.
Journal of Shenyang Agricultural University Vol. 35(5-6) (2004), p. 439-442
Ningxia Journal of Agriculture and Forestry Science and technology Vol. 53(8) (2012), p. 24-25, 45
Advanced Materials Research Vols. 838-841 (2014), p. 2366-2369
Advanced Materials Research (Accepted).

Table 1 – Mixture proportioning of SCC mixtures used in repeatability evaluation Mixture No. 1-5*** 6-10**** Codification 38-MS-C12.5 38-MS-C12.5 Cement, kg/m³ Type MS Type MS 480 480 HRWRA demand*, L/100 kg CM 1.22 0.99 Total CM**, kg/m³ 480 480 Water, kg/m³ 182 182 w/cm 0.38 0.38 Sand, kg/m³ 851 851 Coarse aggregate, kg/m³ 871 871 Sand/total aggregate, by volume 0.5 0.5 Volume of coarse aggregate, % 32.0 32.0 Volume of mortar, % 68.0 68.0 Volume of paste, % 36.0 36.0 * Polycarboxlate-based AASHTO M 194, Type F HRWRA ** CM = Cementitious materials *** Mixtures 1-5: SCC with high fluidity with slump flow of 700 ± 10 mm **** Mixtures 6-10: SCC with moderate fluidity with slump flow of 630 ± 10 mm Repeatability of Workability Properties The repeatability is evaluated statistically by means of C.O.V.
Table 4 – Summary of relative errors for recommended workability test methods Single-operator error (90% confidence limit) Slump flow 700 ± 10 mm Slump flow 630 ± 10 mm Error Relative error, % Error Relative error, % Slump flow, mm 9.5 1.4 21.3 3.3 J-Ring flow, mm 42.2 6.2 36.5 5.9 L-box blocking ratio (h2/h1) 0.10 12.6 0.09 12.1 Multi-operator error (90% confidence limit) Slump flow, mm 8.9 1.3 20.8 3.1 J-Ring flow, mm 54.9 8.4 12.2 1.9 L-box blocking ratio (h2/h1) 0.12 16.0 0.07 10.5 Acknowledgements The authors gratefully acknowledge the financial support provided by the Transportation Research Board (TRB) of the National Academies (NAS-NRC) of the United States of America for NCHRP Project 18-12, the Natural Science Foundation for the team project of Guangdong Province, China (No. 9351806001000001), and the National Science Fund for Distinguished Young Scholars (No. 50925829).
Khayat: Workability, Testing, and Performance of Self-Consolidating Concrete, ACI Materials Journal, 96 (3), pp. 346-353. (1999) [2] Form and Style for ASTM Standards, 73p. (2010) [3] S.D.
Khayat, and O.Bonneau: Performance-Based Specifications of Self-Consolidating Concrete Used for Repair Applications, ACI Materials Journal 130 (2) pp. 121-129. (2006) [5] ACI Committee 237R-07, Self-Consolidating Concrete, American Concrete Institute, Michigan, 30 p. (2007)

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