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Search Results: 1 - 10 of 120305 matches for " Wang Jinsheng "
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Release of active oxygen from phytopathogenic bacteria and their regulation
Hongyu Li,Jinsheng Wang
Chinese Science Bulletin , 1999, DOI: 10.1007/BF03182890
Abstract: Some phytopathogenic bacteria includingXanthomonas oryzae pv.oryzae (a rice leaf bacterial blight pathogen) and its virulent gene mutant XooM3105,Xanthomonas campestris pv.campestris, Erwinia carotovora subsp.carotovora and so on, could release active oxygen such as O 2 and H2O2 by themselves. Ca2+, NADPH and O2 concentration regulated the response. The response is sensitive to heat and proteinase. These results show that the component releasing active oxygen in the bacterial plant pathogen may involve special protein and enzyme and be secreted to culture liquid. Various components of rice tissue can significantly induce the release of active oxygen inXanthomonas oryzae pv.oryzae.
$α$-Modulation Spaces (I)
Jinsheng Han,Baoxiang Wang
Mathematics , 2011,
Abstract: First, we consider some fundamental properties including dual spaces, complex interpolations of $\alpha$-modulation spaces $M^{s,\alpha}_{p,q}$ with $0
Structural Analysis and Optimal Design for Water Tube Panel in an Alkali Recovery Boiler  [PDF]
Zaili Zhao, Jinsheng Xiao, Ying Wu, Xiaojun Zhang, Zhiming Wang
Engineering (ENG) , 2010, DOI: 10.4236/eng.2010.25046
Abstract: Alkali recovery aiming at recovering NaOH is the best available technology in China's pulp and paper industry; an alkali recovery boiler is a popular one among all alkali recovery units. For the purpose of designing the most reasonable tube-panel of an evaporator in a 1500 t/d alkali recovery boiler, a total of 8 kinds of cases are put forward for finite element analysis. The modeling, meshing and calculation are carried out for each case. The stress values and their distribution rules are revealed in this paper. The slotting size for the water tubes panel is analyzed by using the optimum design module of ANSYS. After all cases are compared with each other, the optimal one is developed and exemplified in conclusion.
GDOP’s Influence on Observable Degree of Multi-Antenna GPS/SINS Integrated Attitude Measuring System  [PDF]
Hao He, Yuhang Zheng, Dongfang Yang, Jinsheng Zhang, Shicheng Wang
World Journal of Engineering and Technology (WJET) , 2015, DOI: 10.4236/wjet.2015.33C054

GDOP’s influence on observable degree is studied by analyzing a multi-antenna GPS/SINS attitude measuring system. Firstly, the mathematical model of the attitude measuring system, whose observations are single-differences, is provided; Secondly, it is proved that the model can be studied by PWCS theory, and GDOP’s influence on observable degree is explained intuitively. Then, the variance of observable degree is studied by simulation while GDOP is different, and the result is analysed. Simulation results show that, the observable degree becomes worse with the increasing GDOP value. Therefore, while designing such kind of Kalman filter, the influence to observable degree which made by GDOP should be considered adequately.

A New Beam Selection Method for MLC-Based Robotic Radiotherapy  [PDF]
Bin Wang, Juwu Wang, Jinsheng Li, Jiajin Fan, Jun Kang, C. M. Charlie Ma
International Journal of Medical Physics,Clinical Engineering and Radiation Oncology (IJMPCERO) , 2015, DOI: 10.4236/ijmpcero.2015.42018
Purpose: The CyberKnife system equipped with multileaf collimator (MLC) has been shown promising in treatment-time reduction and plan-quality improvement, because of the enhanced coverage of larger lesions and the improved target conformity. In this study, we aim to develop an efficient non-coplanar beam selection program for CyberKnife-based IMRT. Method: The candidate beam set in this study consists of 94 non-coplanar beams, each defined by a vector connecting a CyberKnife node and a target point. Our goal is to choose an adequately small number of beams that will allow the generation of high quality IMRT plans. We use the beam coverage of patient-surface as a surrogate for the solution space of beamlet-based inverse planning. Based on body-surface coverage and beam-projection overlap on the surface, a beam-selection program was developed. To evaluate the effectiveness of the beam selection method, IMRT plans with the selected beams for different treatment sites were generated using the Varian Eclipse treatment planning system and compared with the IMRT plans with conventional coplanar beams. Results: Our program efficiently selected a subset of relatively small number of non-coplanar beams, while pre-serving the body-surface coverage and therefore the solution space for inverse planning optimization. For example, a set of 17 beams were selected for a pancreatic cancer case, covering 92.5% of the surface area which was covered by all the 94 candidate beams with the same field size. The IMRT plans with the selected beams show superior quality with dramatically improved critical structure sparing, as compared with the clinically approved IMRT plans. Conclusion: One can efficiently select effective sets of non-coplanar beams with our program, which allow the generation of high-quality plans for MLC-based robotic radiotherapy.
Channel Parameter Estimation for Scatter Cluster Model Using Modified MUSIC Algorithm
Jinsheng Yang,Xuzhao Wu,Qing Wang
International Journal of Antennas and Propagation , 2012, DOI: 10.1155/2012/619817
Abstract: Recently, the scatter cluster models which precisely evaluate the performance of the wireless communication system have been proposed in the literature. However, the conventional SAGE algorithm does not work for these scatter cluster-based models because it performs poorly when the transmit signals are highly correlated. In this paper, we estimate the time of arrival (TOA), the direction of arrival (DOA), and Doppler frequency for scatter cluster model by the modified multiple signal classification (MUSIC) algorithm. Using the space-time characteristics of the multiray channel, the proposed algorithm combines the temporal filtering techniques and the spatial smoothing techniques to isolate and estimate the incoming rays. The simulation results indicated that the proposed algorithm has lower complexity and is less time-consuming in the dense multipath environment than SAGE algorithm. Furthermore, the estimations’ performance increases with elements of receive array and samples length. Thus, the problem of the channel parameter estimation of the scatter cluster model can be effectively addressed with the proposed modified MUSIC algorithm.
Issues and prospects of belowground ecology with special reference to global climate change
Jinsheng He,Zhengquan Wang,Jingyun Fang
Chinese Science Bulletin , 2004, DOI: 10.1007/BF03184277
Abstract: The theory of ecology is based on over 100 a of research and investigation, all centered on aboveground patterns and processes. However, as contemporary ecologists are increasingly acknowledging, belowground structures, functions, and processes are some of the most poorly understood areas in ecology. This lack of understanding of belowground ecological processes seriously restricts the advance of global change research. The interdisciplinary field of belowground ecology began to flourish in the 1990s, along with the expansion of global change research, and quickly gained momentum. Belowground ecology aims to investigate belowground structures, functions, and processes, as well as their relationships with corresponding aboveground features, emphasizing the responses of belowground systems under global change conditions. Key research areas include root ecology, belowground animals, and soil microorganisms. This review summarizes and analyzes the relationships between above- and belowground ecosystems, root ecology, root biogeography, belowground biodiversity, as well as research areas with particular challenges and progress. This commentary emphasizes certain theoretical issues concerning the responses of belowground processes to global change, and concludes that belowground ecology is a critical research priority in the 21st century.
Research of Quality Improvement and Quality Innovation Based on Knowledge Fermenting Model
Jin Wang,Jinsheng He,Jiansheng Tang
Modern Applied Science , 2009, DOI: 10.5539/mas.v2n1p38
Abstract: Quality improvement and quality innovation are the important approach to enhance competitive force for enterprises. Quality improvement is a process of knowledge innovation in nature which must be actualized by organizational learning. This article starts from the relations among quality improvement, quality innovation and the ability of organizational learning, analyzes the knowledge moving rule in the interior process of quality improvement and innovation and expatiates on the creation, development and diffusion mechanisms of quality knowledge in the quality flow based on the knowledge fermenting theory of organizational learning. Furthermore, taking the quality control (QC) group as an example, this article analyzes the behaviors and functions of nuclear factors such as quality knowledge sourdough, quality knowledge matrix and quality knowledge enzyme in the process of quality knowledge fermenting, and these nuclear factors function mutually in the quality knowledge fermenting bar. This article also puts forward five types of quality knowledge fermentation and analyzes their characters respectively, points out the implementation of knowledge fermentation possesses meanings to enhance the level of quality improvement and quality innovation for enterprises.
Gold Nanorods: Near-Infrared Plasmonic Photothermal Conversion and Surface Coating  [PDF]
Bo Cong, Caixia Kan, Honggeng Wang, Jinsheng Liu, Haiying Xu, Shanlin Ke
Journal of Materials Science and Chemical Engineering (MSCE) , 2014, DOI: 10.4236/msce.2014.21004

In this paper, AuNRs colloids with SPRL located at ~810 nm and ~1100 nm were synthesized using an improved seed method. Based on the NIR lasers available, photothermal conversion of AuNRs were systematically studied compared with that of water. Under low power irradiation, the highest temperature is obtained when the SPRL wavelength of AuNRs is equal to the laser wavelength, and temperature of colloid increases from ~20°C to ~65°C. With increasing laser power (such as 6 W), the AuNRs colloid boils within a few minutes, and nanorods undergo a shape deformation from rod to spherical particle and even fusion, and the SPRL disappears. For further investigation, the obtained AuNRs were coated with SiO2 shell to form a core-shell nanostructure (Au@SiO2). The surface coating can be used not only in keeping the stability of AuNRs for further treatment, but also in increasing plasmonic property and biocompatibility. This work will be useful for designing plasmonic photothermal properties and further applications in nanomedicine.

Security Analysis of A Chaos-based Image Encryption Algorithm
Shiguo Lian,Jinsheng Sun,Zhiquan Wang
Computer Science , 2006,
Abstract: The security of Fridrich Image Encryption Algorithm against brute-force attack, statistical attack, known-plaintext attack and select-plaintext attack is analyzed by investigating the properties of the involved chaotic maps and diffusion functions. Based on the given analyses, some means are proposed to strengthen the overall performance of the focused cryptosystem.
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