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Acknowledgments The authors would like to gratefully acknowledge the financial support provided by the National 973 Basic Research Program of China (No.2002CB312202, No.2009CB320602), the National Science and Technology Major Projects (No.2011ZX02504), and the National Natural Science Foundation of China (No.60834004, No.60721003, No.61104172, No.61025018).
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Kaminoyama: Journal of The Ceramic Society of Japan, Vol. 117 (2009) No.1366, p. 736

Such ductile materials of mudstone mainly appear as two stages, transient creep and steady-state creep, and the latter lasts longer.
Journal of Structural Geology, vol. 25, pp. 121-134, April 2003
Mining Science and Technology (China), vol. 20, pp. 339-349, March 2010
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Fiber-Optic Breath Sensors: A Comparison Study Jan Nedoma1,a, Marcel Fajkus1,b, Radek Martinek2,c 1Department of Telecommunications, Faculty of Electrical Engineering and Computer Science VSB–Technical University of Ostrava, Ostrava, Czech Republic 2Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, Ostrava, Czech Republic ajan.nedoma@vsb.cz, bmarcel.fajkus@vsb.cz, cradek.martinek@vsb.cz, Keywords: Respiratory rate (RR), fiber-optic sensor, Fiber Bragg grating (FBG).
The results include the use of 3 prototypes of FBG sensors encapsulated into silicone polymer polydimethylsiloxane (PDMS) and fiberglass (fiberglass is a composite material made of glass fiber (fabric) and cured synthetic resin).
Journal. 67 (2003) 687–690
Liu, Noninvasive respiration movement sensor based on distributed Bragg reflector fiber laser with beat frequency interrogation, Journal Biomed.
Thiel, Medical textiles with embedded fiber optic sensors for monitoring of respiratory movement, IEEE Sensors Journal 12 (2012) 246–254

Study on Fault Diagnosis of Gear-box CHEN Xiao-hui , College of Information Science and Technology, Guilin University of Technology, Guilin, Guangxi 541004, China Keywords: Fault Diagnosis, Gear-box, Back Propagation Neural Network, Differential Evolution, Particle Swarm Optimization Abstract.
References [1] Wei Xiuye, Pan Hongxia, and Ma Qingfeng, “Application of Particle-Swarm-Optimization-Based Neural Network to Fault Diagnosis” Journal of Vibration, Measurement & Diagnosis, Vol. 26, Feb. 2010, pp. 133-137
“Hot Strip Width Prediction During Rough Rolling with PSO-Neural Network Based on Fuzzy Clustering,” Journal of Northeastern University(Natural Science), Vol.28, Sept.2009, pp.1282-1292
[6] Jialin Zhou, “PSO-based neural network optimization and its utilization in a boring machine,” Journal of Materials Processing Technology, Vol.178, Feb. 2006, pp. 19–23.

Grey Correlation Analysis on Collaboration Client Evaluation in Supply Network Lingling Liu Oxbridge College, Kunming University of Science and Technology, Kunming, P.R.
References [1] FU, RL, MICHAEL, JSReengineering the Order Fulfillment Process in Supply Chain Networks [J] The International Journal of Flexible Manufacturing Systems, 1998, (10):.
[2] COOPER, MC, LAMBERT DM, PAGH JDSupply Chain Management: Implementation Issues & Research Opportunities [J] The international Journal of Logistics Management, 1998 (2):.
[4] DICKSON, GWAn Analysis of Vendor Selection Systems and Decisions [J] Journal of Purchasing, 1966,2:.
[5] HATHERALL DAPurchasing in the pharmaceutical industry [J] Department of Management Science, 1988:.

Material and Methodology Evaluation of transportation performance is usually carried out based on the average values of the variables.
Material.
King, Trends in taxi use and the advent of ride-hailing, 1995–2017: Evidence from the US National Household Travel Survey, Urban Science, 2(3) (2018) 79
Wirasinghe, Analysis of work trips made by taxi in Canadian cities, Journal of Advanced Transportation, 44(1) (2010) 11-18
Li, Spatial analysis of shared e-scooter trips, Journal of Transport Geography, 92 (2021) 103016.

Materials and Design, 2014. 60: p. 226-232
Materials Science and Engineering: A, 2011. 528(13-14): p. 4556-4563
Journal of the Mechanical Behavior of Biomedical Materials, 2013. 20: p. 149-161
Materials Science and Engineering C, 2015.49:p.400-407
Materials Forum 2005. 29: p. 1-8

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Experimental Procedure *Materials and Synthisis of Composite Stir casting setup is as shown in figure 1.1 and the chemical constituents of Al2219 alloy are shown in table1.
Heguo Zhu a, n, CuicuiJar a, JinzhuSong a, JunZhao a, JianliangLi a, ZonghanXie b, nn “High temperature dry sliding friction and wear characteristics of in situ composites (a-Al2O3þAl3Zr)/Al” , Advanced Materials Research, Vols. 690-693, pp. 318-322, 2013
Sivaprasad a “Sliding wear behavior of Al 6063/TiB2 in situ composites at elevated temperatures”, Elsevier-Materials and Design, Volume 30, Issue 7, Pages 2521-2531, August 2009
Natarajan “High temperature sliding wear behavior of press-extruded AA6061/fly ash composite“, Elsevier-Material Science and Engineering:A, Volume 527, Issue 6, Pages 1501-1509,15 March 2010
Srinivasa Rao “High temperature tensile and wear behavior of aluminum silicon alloy“, Elsevier Material Science and Engineering:A, Vol 528, issue1, Pages 247-253, 25 November 2010.

Ryu 1 1 Dept. of Materials Science and Engineering/Nano Technology Lab., Chungju National University, 123 Geomdan-ri, Iryu-myeon, Chungju, Chungbuk 380-702, Korea 2 Minerals and Materials Processing Division, Korea Institute of Geoscience and Mineral Resources, 30 Gajeong-dong, Yuseong-gu, Daejeon 305-350, Korea Keywords: CoSb3, skutterudite, thermoelectric Abstract.
Introduction Recent progress in solid state physics and materials science could make good use of the various selection criteria in order to identify new potential candidates for good thermoelectric materials.
A systematic search for novel thermoelectric materials resulted in the identification of a family of compounds with skutterudite structure as good candidates for high performance thermoelectric conversion efficiency.
All of them are satisfied in the skutterudite materials [1,3].
Experimental Procedures CoSb3 compounds were prepared by the electric arc melting method, which is widely used to melt and solidify the volatile materials.