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Material and Methods The main instruments and reagents.
[4] Y C Li, R W Yan, C P Zhao: Journal of Anhui University (Natural Sciences) Vol. 31 (2007), p. 82 [5] J L Wang, F Q Wang, Yu J: Chinese Science Bulletin Vol. 53 (2008), p.900 [6] GB 18421-2001.
[10] Y B Hao, H Q Song, Y C Wu: Food Science Vol. 33 (2012), p.219

Assessment on the Possibility of Low-carbon Economic Development ——Taking Zhejiang, China as A Case Study Zhou Bin1,a,Jin Lu2,b, Zhang He3,c , Deng Qun4,d , Xu Jing5,e and Hu Chunli6,f 1College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA 2 College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA 3 Department of Earth Sciences of Zhejiang University, Hangzhou, 311027, CHINA 4College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA 5College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA 6College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA anjuzoubin@163.com, bjinlu719@163.com, c929363583@qq.com, d549106218@qq.com, e965682599@qq.com, f642434195@qq.com Keywords: Low-carbon Economy, Development Possibility, Comprehensive Evaluation, Zhejiang Abstract.
The level of urbanization in Zhejiang Province in 2010 was up to 61.6%, nearly 12 percentage points higher than the average number in China.The fine economy condition provides a good material basis for the development of low-carbon economy in Zhejiang.
Acknowledgements This Supported by National Natural Science Foundation of China(41171435)and Social Science Foundation of Ningbo City (G12-XK10) References [1] Information on http://www.ipcc.ch/ ipccreports /ar4-wg3.htm [2] D.H.
Li: Journal of Zhejiang Shuren University, Vol. 2 (2011), p.52-57.

Mohamed Fathimald a,b,c,dSRM Institute of Science and Technology, Vadapalani Campus , India aja5146@srmist.edu.in, babydu99@gmail.com, cdivya2000mean@gmail.com, *dfathimap@srmist.edu.in Keywords: Medical image, brain tumor, classification, deep learning-based tumor classification, image segmentation Abstract.
The grey material that surrounds the cerebrum and is composed of cortical neurons is the cerebral cortex.
References [1] Javaria Amin, Muhammad Sharif, Anandakumar Haldorai, Mussarat Yasmin, Ramesh Sundar Nayak - “Brain tumor detection and classification using machine learning: a comprehensive survey”, Complex & Intelligent Systems, October 2021 [2] Emrah Irmak - “Multi-Classification of Brain Tumor MRI Images Using Deep Convolutional Neural Network with Fully Optimized Framework”, Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 10 April 2021 [3] G.
A Salam, "Brain Tumor Detection Using Various Deep Learning Algorithms,” 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021

The parameters are set as follows: Unit type is solid brick and is set to 8nodes；Material property is Isotropic; Elastic modulus E is 3.3Gpa; Poisson's ratio is 0.3; Meshing size is 0.5mm.
Acknowledgement This work was supported by the National Science Foundation of China (Grant No. 60975068), and Shanghai Education Commission Foundation (No. 09ZZ091), and Shanghai Key Laboratory of Mechanical Automation and Robotics Science Foundation (No.ZZ0805) .
(Science and Technology), vol.7,no.4(2001), p.293-296 [2] H.
Journal of System Simulation[J].

Dissipation Analysis of IGBT module in FB-ZVZCS-PWM Converter Xianzheng Liu1, a, Rui Jin1, Kunshan Yu1, Lijun Xie1, Hailong Bao 2, Yu Zhang2, Juan Liu2, Jiajie Che2 1Electrical Engineering New Material and Microelectronics Department, State Grid Smart Grid Research Institute, Beijing 100192, China 2Shanghai Municipal Electric Power Company, Shanghai 200122, China aliuxianzheng@sgri.sgcc.com.cn KEY WORDS: FB-ZVZCS-PWM; IGBT; FWD; Inverter welder; Switching loss ABSTRACT: Along with the government and market take more and more attention to the energy efficiency of power supply, the loss of IGBT module, as the core device, has become a hot topic.
Acknowledgements This work was financially supported by Science and Technology Project of SGCC (SGRI-WD-91-12-001), (SGRI-WD-71-13-006) and (SGRI-WD-71-13-007).
Journal of Tsinghua University: Science and Technology, 2012, 52(11): 1578-1583(In Chinese)
IEEE Trans. on Plasma Science, 2011, 39(1): 364-367

As a consequence materials are subjected to more frequent failures due to more severe stresses.
The most used and nowadays the most indicated for fatigue stress application are materials with metallic matrix.
The principal mechanical characteristics of the materials are shows in Table 3, together with the hardness values at the surface and at the bulk material.
Tordini: Key Engineering Materials, Vols. 348-349 (2007), pp. 313-316
Endo,: International Journal of Fatigue, Vol. 16 (1994) pp 519-533

Acknowledgment This work was supported by National Natural Science Foundation of China(No. 11272021), Beijing Natural Science Foundation(No. 1122007), Beijing Nova Program(No. 2008A015), General Program of Science and Technology Development Project of Beijing Municipal Commission of Education(No.
He, “Experimental study of structural health monitoring for pipeline flange based on electromechanical impedance,” Journal of Experimental Mechanics, Vol. 25, pp. 516-521, October. 2010.
Rogers, “Coupled electro-mechanical analysis of adaptive material systems - Determination of the actuator power consumption and system energy transfer,” J.

Fig. 4 X-displacement contour of landslide under Reservoir water-level 145m As shown in Fig.5, at the initial water level of 145m, at the foreside, backside and local central part, the obvious changes of slope belt and material property have led to greater strain at X Direction.
Acknowledgement This study was supported by the National Natural Science Fund of China (No.40872175) and National Basic Research Program of China (973 Program)( No.2011CB710604).
The Proceedings of the China-association for Science and Technology. 2(2005), pp139-143 [7] Hu, X.
Earth Science-Journal of China University of Geosciences. 32(2007),pp403-408

It can also be influenced by large and medium sized cities and receive human flow, material flow, information flow and industry transfer, which help realize resource sharing, economical cooperation and multi-directional exchange.
With tourism agriculture as the character, tourism as the core factor, a new tourism product of tourism agriculture is to be built where one can appreciate the scenery of fruit-bearing forest, receive popular science education and enjoy leisurely picking.
This project combines innovative agriculture, eco-agriculture, conference and exhibition agriculture, green agriculture,, leisure and sightseeing agriculture, develops in a intensified, scaled and industrial way; it plays a significant role in furthering the agricultural and rural economic development of the entire city and entire region, facilitating industrial operation of modern urban agriculture, promoting agriculture development via science and technology and conversion of agricultural technological results, pushing forward optimization and upgrade of agricultural industrial structures, developing productive, quality, efficient, ecological and safe agriculture with great efforts, constructing modern urban agricultural system, developing new functions of agriculture with great efforts, actively developing leisure and sightseeing agriculture, and increasing income of farmers.
(In Chinese) [4] Li Liangdong, Discussion and Analysis of Planning of Eco-tourism for New Countryside, Popular Science and Technology[J], 2011（3）:92-94 (In Chinese) [5] Zhang Jie, Development Strategy for the Eco-Tourism of Yunnan on the Basis of SOWT Analysis, Jiangxi Agriculture Academic Journal[J], 1995（2）: 211-214 (In Chinese)

AUV buoyancy regulating device design and simulation analysis Rong Zheng1, a, Yu Wang1,2,b and Jianguo Wu1,c 1 The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2University of Chinese Academy of Science, Beijing 100049, China azhengr@sia.cn, bwangyu1@sia.cn, cwujg@sia.cn Keywords: AUV, buoyancy regulating device, measuring accuracy, sensitivity analysis, AMESim simulation Abstract.
Step 1, import the solidworks 3D models of press hull and flange into workbench and assign the Aluminum material properties to the geometries; step 2, the meshing, generate the grid division with medium mesh level; step 3, define restraints and loads: fix the edge of the pressure hull and flange, apply outward pressure of N/m2 (1.2 times of the maximum pressure AUV can withstand) on the pressure hull’s inside and the flange’s middle area; step 4, post processing to get results.
Acknowledgment This work was supported by Natural Science Foundation of China Project(51109205).
International Journal of Offshore and Polar Engineering, Vol 18(2): p. 81-90(2008) [7] Zheng Rong, Chang Hailong.