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Introduction The technology of controlled drug delivery is one of the frontiers of science, involving multidisciplinary fields and hence contributing significantly to the advancement of human health.
Furthermore, these materials are available in nature in large quantities and with increasingly competitive costs [3].
Materials and Methods The materials used in this research were: Chitosan of medium molecular weight (C12H24N2O9) - Sigma Aldrich ®; Piperine (C17H19NO3) - Sigma Aldrich®, molar mass = 285 g/mol; Glacial Acetic Acid P.A.
Bonepally et al.: International Journal of Pharmaceutical Sciences and Nanotechnology Vol. 1 (2008), p. 87
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Introduction The biodegradable PLA materials have been considered to be one of the most promising renewable green polymer materials due to its good mechanical properties and biological compatibility [1-4].
The PLA has been improved its toughness by blending with a variety of materials including various types of synthetic rubber [7-9].
Experimental Materials.
Polymer Science, 2011, 49: 1051-1083
Journal of Hunan University of Technology, 2009, 23（4）：94-98

Bulk material is modelled by four nodes mixed BLZ2D [9] elements.
Habraken, Modelling of Fracture Initiation in Metal forming Processes, "Materials Processing Defects" S.K.
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Cescotto, Unified and mixed formulation of the 4-node quadrilateral element by assumed strain method: Application to thermomechanical problems, International Journal for Numerical Method in Engineering, vol. 38, 1995, pp. 685-716

Ultrasonic vibration could lead the friction coefficients of metal material and non-metallic decrease rapidly, and the friction coefficient of metallic materials decreased more significantly than non-metallic materials [3].
Experimental Experimental materials.
These would make the materials peel off the surface of the samples.
Acknowledgments This research is granted by National Natural Science Foundation (51075397).
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Considering of the yield stress of the material, the selection of the taper of the interference fits has to be optimized.
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[6] Seung Woo Lee and Dai Gil Lee: Composite Structures Vol. 78 (2007), p. 584-595 [7] Pierre-Daniel Pfister and Yves Perriard, in: Proc. 8th ICEMS, 3054-3059, Wuhan, China (2008) [8] Guoping Wang, Hualing Chen, Shemiao Qi et al, in: 3rd International Conference on Machinery, Materials Science and Engineering Applications, Wuhan, China (2013) [9] Ling Xiong, Peng Shang, Youlin Xu, Applied Mechanics and Materials Vol. 423 (2013), p. 1438-1443 [10] Robert W.

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[9] Liu, S.F., et al.: Advanced Materials Research.
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Materials and methods Study Area.
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Journal of Natural Disasters. 2009, 18(1): 204~208
Journal of Forestry Research. 2007, 18(1): 55~61.

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Materials and Methods Fig. 1 depicts "DefectNet" is a Convolutional Neural Network (CNN) architecture designed for defect detection tasks in images.
Wang, An Effective and Efficient Method for Detecting Defective Areas of Auto Parts based on CNNs, Journal of Imaging Science and Technology, 67 (2023) 1-10
Wang, An Effective and Efficient Method for Detecting Defective Areas of Auto Parts based on CNNs, Journal of Imaging Science and Technology, 67 (2023) 1-10
Lee, Multi-mode soft composite bending actuators based on glass fiber textiles interwoven with shape memory alloy wires: Development and use in the preparation of soft grippers, International Journal of Precision Engineering and Manufacturing-Green Technology, 10(5) (2023) 1263-1280
Tursunbaev, Mathematical approach to the flank wear of high-speed steel turning tool in diverse external cutting environments, International Journal, (14) (2023) 19.

Materials and Methods A.
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Journal of Chemical Theory and Computation 2008, 4(3):435-447