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Search Results: 1 - 10 of 20738 matches for " Jiaoyan Ying "
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On Chinese Trainees and Interns in Japan  [PDF]
Jiaoyan Fan
Beijing Law Review (BLR) , 2012, DOI: 10.4236/blr.2012.32008
Abstract: There are millions of Chinese workers in Japan, most as trainees and interns hired in small or medium sized industries. While they work hard and contribute great to the economic development of Japan, there also exist some problems arising from the mechanism which have to be faced by both Japanese and Chinese governments. On analyzing the status of the trainees and interns, the author exposed some problems in the system, and presents some suggestions from the legal view for the future at last.
Effects of nitrogen addition on the abundance and composition of soil ammonia oxidizers in Inner Mongolia Grassland

Xiaoxiao Li,Jiaoyan Ying,Ying Chen,Limei Zhang,Yongsheng Gao,Yongfei Bai,

生态学报 , 2011,
Abstract: Nitrogen accumulation in soil is increasing in Inner Mongolia which is resulted mainly from fertilization accompanied by conversion of large area of grasslands to croplands. Ammonia-oxidation is the key step of nitrification which is driven by ammonia-oxidizing microorganisms, and study on the response of ammonia-oxidizing microorganisms is necessary for understanding the effects of nitrogen fertilization on ecosystem functions. In this study, the abundance and community structure of soil ammonia-oxidizing bacteria (AOB) and ammonia-oxidizing archaea (AOA) under long-term N addition of different rates (0, 1.75, 5.25, 10.5, 17.5, and 28 g N m?2 yr?1) in a typical steppe of the Inner Mongolia Grassland were investigated using quantitative real-time PCR, cloning and sequencing based on amoA gene. In addition, soil potential ammonia oxidation rate was analyzed. Our results demonstrated that, with the increase of nitrogen addition rate, soil pH declined gradually from 6.6 to 4.9, and potential ammonia oxidation rate also declined which was positively correlated with soil pH (P < 0.01), while the copy number of bacterial amoA gene increased and positively (P < 0.01) correlated with ammonia concentration in soil. The archaeal amoA gene copy number did not change a lot with N nitrogen addition rate below 10.5 g N/m2, but significantly decreased with addition of 17.5 and 28 g N m?2 yr?1. Sequencing of clone libraries of treatments revealed that in the treatment without N addition, AOB was dominated by Cluster 3a1 of Nitrosospira with a proportion of 87%, while in the treatment with N addition of 28 g N m?2 yr?1, proportion of Cluster 2 increased significantly to 41%. All archaeal amoA sequences were affiliated with the soil/sediment clade, and no significant variation of community structure was found between the treatments without N addition and with 28 g N m?2 yr?1 addition rate. In conclusion, this study demonstrated significant effects of nitrogen addition on potential ammonia oxidation rate and compositions of ammonia-oxidation microorganisms, which may have important implications for evaluating the impacts of N accumulation on ecosystem functioning. Further, the effects of pH and ammonia concentration on the ammonia oxidation rate and compositions of ammonia-oxidation microorganisms were discussed.
To Strengthen the Career Management for Middle & High-Level Personnel in Power Enterprises
Jiaoyan Ma,Jun Ma
International Journal of Business and Management , 2009,
Abstract: With the deepening of the power system reform, the management environment of power enterprises has undergone profound changes as well. The competition advantages of power enterprises have turned from technology and fund to human resources, especially the core talents of enterprises—the middle & high-level personnel. It is of strategic importance to employ career management to these people in order to exert their human capital advantages and to enhance the core competitive competence of the enterprises in the mean time.
Tailoring inputs to achieve maximal neuronal firing
Jiaoyan Wang, Willie Costello, Jonathan E Rubin
The Journal of Mathematical Neuroscience , 2011, DOI: 10.1186/2190-8567-1-3
Abstract: A major component of theoretical neuroscience is the study of how various neuronal models respond to synaptic inputs. Indeed, chemical synaptic transmission offers a specific mechanism for the encoding of information that an organism senses from the external environment, filtered by the internal state of the organism. The functions performed by particular neurons and neuronal networks are in part determined by the nature of the inputs that they receive and are in part a result of the responses they generate to these inputs, due to their intrinsic properties. Thus, understanding neuronal input-output transformations represents a centrally important scientific goal.Although the framework for incorporating synaptic inputs into computational models is well established, and the computational implications of such inputs have received significant attention, optimization problems involving synaptic inputs are not well represented in the literature. In this paper, we consider such a problem, namely what is the optimal way to tailor synaptic inputs, subject to certain constraints, to maximize the number of spikes that a neuron will fire?In fact, we consider two variations on this problem, one based on maximizing the total number of spikes fired and one focused on maximal firing within a prescribed time interval. There are several reasons that maximizing numbers of spikes may be a biologically relevant neuronal goal. Since neurons operate under conditions in which efficient resource use could be evolutionarily advantageous, it could be useful if, subject to some constraint on the amount of input that is available, the synaptic input time course could be tailored to achieve the largest possible number of spikes. Certainly, there are brain areas, including areas of visual cortex and somatosensory cortex, where it appears that intensity of firing encodes stimulus information, with neurons showing maximal firing under optimally preferred stimulus conditions [1-3]. Similarly, a suf
Stability Control for A Walking-Chair Robot with Human In the Loop
Jiaoyan Tang,Qunfei Zhao,Ruqing Yang
International Journal of Advanced Robotic Systems , 2009,
Abstract: In this paper, The stability control strategy for a biped walking-chair robot is analyzed with human in the loop. The avoidance of unexpected rotation of the robot is treated via the control method based on the zero moment point (ZMP) criterion. The shared control between robot and human in the loop for the stability are introduced. The safe region of the human input is defined via ZMP for the system. Smooth transition from human input to snapped control input is achieved so as to guarantee maximum flexibility for humans as well as system stability and minimum base-line performance.
First integral method for an oscillator system
Xiaoqian Gong,Jing Tian,Jiaoyan Wang
Electronic Journal of Differential Equations , 2013,
Abstract: In this article, we consider the nonlinear Duffing-van der Pol-type oscillator system by means of the first integral method. This system has physical relevance as a model in certain flow-induced structural vibration problems, which includes the van der Pol oscillator and the damped Duffing oscillator etc as particular cases. Firstly, we apply the Division Theorem for two variables in the complex domain, which is based on the ring theory of commutative algebra, to explore a quasi-polynomial first integral to an equivalent autonomous system. Then, through solving an algebraic system we derive the first integral of the Duffing-van der Pol-type oscillator system under certain parametric condition.
Advances in Sterol 14a-Demethylase (CYP51)

Jiaoyan Yang,Mingjun Liao,Shao Yang,

生物工程学报 , 2008,
Abstract: Sterol 14a-demethylase (CYP51), the most widely distributed member of the P450 superfamily, is the key enzyme in sterol biosynthesis pathway. CYP51 is not only an important model for fundamental P450 structure/function studies, but also an important target protein of cholesterol-lowering agents, antifungal drugs and herbicides. This article reviewed the research advances in CYP51 at various aspects, including sequence characteristics, physiological roles, catalytic properties in vitro, protein structure, structure-function relationships and inhibition of CYP51. The problems remained in current research and designations of CYP51 inhibitors are also discussed.
Modeling and Mapping of Atmospheric Mercury Deposition in Adirondack Park, New York
Xue Yu, Charles T. Driscoll, Jiaoyan Huang, Thomas M. Holsen, Bradley D. Blackwell
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0059322
Abstract: The Adirondacks of New York State, USA is a region that is sensitive to atmospheric mercury (Hg) deposition. In this study, we estimated atmospheric Hg deposition to the Adirondacks using a new scheme that combined numerical modeling and limited experimental data. The majority of the land cover in the Adirondacks is forested with 47% of the total area deciduous, 20% coniferous and 10% mixed. We used litterfall plus throughfall deposition as the total atmospheric Hg deposition to coniferous and deciduous forests during the leaf-on period, and wet Hg deposition plus modeled atmospheric dry Hg deposition as the total Hg deposition to the deciduous forest during the leaf-off period and for the non-forested areas year-around. To estimate atmospheric dry Hg deposition we used the Big Leaf model. The average atmospheric Hg deposition to the Adirondacks was estimated as 17.4 g m yr with a range of ?3.7–46.0 g m yr. Atmospheric Hg dry deposition (370 kg yr) was found to be more important than wet deposition (210 kg yr) to the entire Adirondacks (2.4 million ha). The spatial pattern showed a large variation in atmospheric Hg deposition with scattered areas in the eastern Adirondacks having total Hg deposition greater than 30 μg m?2 yr?1, while the southwestern and the northern areas received Hg deposition ranging from 25–30 μg m?2 yr?1.
A Security Transfer Model Based on Active Defense Strategy  [PDF]
Ying Zheng
Communications and Network (CN) , 2010, DOI: 10.4236/cn.2010.23027
Abstract: This paper proposes a security transfer model founded on the active defense strategy. In the unit of security domains of dynamic overlaying routers, this model defines the intelligent agent/ management of network element together with the self-similar, hierarchical and distributed management structure. Furthermore, we use deceptive packets so that the attackers can not trace back to the encrypted data packets. Finally, according to the digested information from data packets, this model is capable of detecting attacks and tracing back to the attackers immediately. In the meantime, the overlaying routers in the security domain are dynamically administered. In summary, this model not only improves the se-curity of data transfer on the web, but also enhances the effectiveness of the network management and switching efficiency of routers as well.
Lossy-to-Lossless Compression of Hyperspectral Image Using the 3D Set Partitioned Embedded ZeroBlock Coding Algorithm  [PDF]
Ying Hou
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.22013
Abstract: In this paper, we propose a three-dimensional Set Partitioned Embedded ZeroBlock Coding (3D SPEZBC) lossy-to-lossless compression algorithm for hyperspectral image which is an improved three-dimensional Embedded ZeroBlock Coding (3D EZBC) algorithm. The algorithm adopts the 3D integer wavelet packet transform proposed by Xiong et al. to decorrelate, the set-based partitioning zeroblock coding to process bitplane coding and the con-text-based adaptive arithmetic coding for further entropy coding. The theoretical analysis and experimental results demonstrate that 3D SPEZBC not only provides the same excellent compression performances as 3D EZBC, but also reduces the memory requirement compared with 3D EZBC. For achieving good coding performance, the diverse wave-let filters and unitary scaling factors are compared and evaluated, and the best choices were given. In comparison with several state-of-the-art wavelet coding algorithms, the proposed algorithm provides better compression performance and unsupervised classification accuracy.
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