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Search Results: 1 - 10 of 73604 matches for " Ying-Cheng Huang "
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α-Galactosyl Phytosphingosine 2,6’-Diamide as an Inducer of Invariant Natural Killer T Cell  [PDF]
Ying-Cheng Huang, Wei-Ting Chen, Shu-Fan Tien, Ho-Lien Huang, Chun-Nan Yeh, Kun-I Lin, Chung-Shan Yu
Open Journal of Medicinal Chemistry (OJMC) , 2013, DOI: 10.4236/ojmc.2013.33008

Four a-galactosyl phytosphingosine 2,6’-diamide analogs were prepared from 2,6’-diamino a-galactosylphytosphingosine and the aromatic-bearing carboxylic acids. After purification with High Performance Liquid Chromatography, a flowcytometry for the four compounds for stimulation of human Va24+/Vb11+ NKT cell populations was carried out. Additional keto groups on the acyl chains of the 2,6’-diamide compound was associated with the enhanced stimulating effect.

Optimization of synchronization in gradient clustered networks
Xingang Wang,Liang Huang,Ying-Cheng Lai,Choy Heng Lai
Physics , 2006, DOI: 10.1103/PhysRevE.76.056113
Abstract: We consider complex clustered networks with a gradient structure, where sizes of the clusters are distributed unevenly. Such networks describe more closely actual networks in biophysical systems and in technological applications than previous models. Theoretical analysis predicts that the network synchronizability can be optimized by the strength of the gradient field but only when the gradient field points from large to small clusters. A remarkable finding is that, if the gradient field is sufficiently strong, synchronizability of the network is mainly determined by the properties of the subnetworks in the two largest clusters. These results are verified by numerical eigenvalue analysis and by direct simulation of synchronization dynamics on coupled-oscillator networks.
6-Azido-Galactosyl Imidate as a Building Block for Preparation of 1-(4-Aminobutyl)-, Di-, Tri- and Tetra-Saccharides  [PDF]
Kun-I Lin, Li-Wu Chiang, Cheng-Tse Pan, Ho-Lien Huang, Yuan-Hsiao Su, Shui-Tein Chen, Ying-Cheng Huang, Chung-Shan Yu
Open Journal of Medicinal Chemistry (OJMC) , 2013, DOI: 10.4236/ojmc.2013.33010

6-azidogalactosyl imidate has been used as a donor to generate 1-(4-aminobutyl)-6-aminogalactose, 6-aminothiotolyl- glycosides of disaccharide, trisaccharide and tetrasaccharide that incorporates 6-azido group and 1-(4-tolyl)thio group. Trisaccharide and tetrasaccharide were obtained from lactosyl-based acceptor. The anomeric 1-(4-tolyl)thio group could be used to conjugate with sphingosine analogs to provide the alpha-Gal Sph analogs for library extension from the azido group.

Emergence of grouping in multi-resource minority game dynamics
Zi-Gang Huang,Ji-Qiang Zhang,Jia-Qi Dong,Liang Huang,Ying-Cheng Lai
Physics , 2012,
Abstract: TheMinority Game (MG) has become a paradigm to probe complex social and economical phenomena where adaptive agents compete for a limited resource, and it finds applications in statistical and nonlinear physics as well. In the traditional MG model, agents are assumed to have access to global information about the past history of the underlying system, and they react by choosing one of the two available options associated with a single resource. Complex systems arising in a modern society, however, can possess many resources so that the number of available strategies/resources can be multiple. We propose a class of models to investigate MG dynamics with multiple strategies. In particular, in such a system, at any time an agent can either choose a minority strategy (say with probability p) based on available local information or simply choose a strategy randomly (with probability 1 - p). The parameter p thus defines the minority-preference probability, which is key to the dynamics of the underlying system. A striking finding is the emergence of strategy-grouping states where a particular number of agents choose a particular subset of strategies. We develop an analytic theory based on the mean-field framework to understand the "bifurcation" to the grouping states and their evolution. The grouping phenomenon has also been revealed in a real-world example of the subsystem of 27 stocks in the Shanghai Stock Market's Steel Plate. Our work demonstrates that complex systems following the MG rules can spontaneously self-organize themselves into certain divided states, and our model represents a basic mathematical framework to address this kind of phenomena in social, economical, and even political systems.
Controlling herding in minority game systems
Ji-Qiang Zhang,Zi-Gang Huang,Zhi-Xi Wu,Riqi Su,Ying-Cheng Lai
Physics , 2015,
Abstract: Resource allocation takes place in various types of real-world complex systems such as urban traf- fic, social services institutions, economical and ecosystems. Mathematically, the dynamical process of complex resource allocation can be modeled as minority games in which the number of resources is limited and agents tend to choose the less used resource based on available information. Spontaneous evolution of the resource allocation dynamics, however, often leads to a harmful herding behavior accompanied by strong fluctuations in which a large majority of agents crowd temporarily for a few resources, leaving many others unused. Developing effective control strategies to suppress and elim- inate herding is an important but open problem. Here we develop a pinning control method. That the fluctuations of the system consist of intrinsic and systematic components allows us to design a control scheme with separated control variables. A striking finding is the universal existence of an optimal pinning fraction to minimize the variance of the system, regardless of the pinning patterns and the network topology. We carry out a detailed theoretical analysis to understand the emergence of optimal pinning and to predict the dependence of the optimal pinning fraction on the network topol- ogy. Our theory is generally applicable to systems with heterogeneous resource capacities as well as varying control and network topological parameters such as the average degree and the degree dis- tribution exponent. Our work represents a general framework to deal with the broader problem of controlling collective dynamics in complex systems with potential applications in social, economical and political systems.
Emergence of scaling in human-interest dynamics
Zhi-Dan Zhao,Zimo Yang,Zike Zhang,Tao Zhou,Zi-Gang Huang,Ying-Cheng Lai
Computer Science , 2013,
Abstract: Human behaviors are often driven by human interests. Despite intense recent efforts in exploring the dynamics of human behaviors, little is known about human-interest dynamics, partly due to the extreme difficulty in accessing the human mind from observations. However, the availability of large-scale data, such as those from e-commerce and smart-phone communications, makes it possible to probe into and quantify the dynamics of human interest. Using three prototypical "big data" sets, we investigate the scaling behaviors associated with human-interest dynamics. In particular, from the data sets we uncover power-law scaling associated with the three basic quantities: (1) the length of continuous interest, (2) the return time of visiting certain interest, and (3) interest ranking and transition. We argue that there are three basic ingredients underlying human-interest dynamics: preferential return to previously visited interests, inertial effect, and exploration of new interests. We develop a biased random-walk model, incorporating the three ingredients, to account for the observed power-law scaling relations. Our study represents the first attempt to understand the dynamical processes underlying human interest, which has significant applications in science and engineering, commerce, as well as defense, in terms of specific tasks such as recommendation and human-behavior prediction.
Controlling collective dynamics in complex, minority-game resource-allocation systems
Ji-Qiang Zhang,Zi-Gang Huang,Zi-Gang Huang,Liang Huang,Tie-Qiao Huang,Ying-Cheng Lai
Physics , 2013, DOI: 10.1103/87.052808
Abstract: Resource allocation takes place in various kinds of real-world complex systems, such as the traffic systems, social services institutions or organizations, or even the ecosystems. The fundamental principle underlying complex resource-allocation dynamics is Boolean interactions associated with minority games, as resources are generally limited and agents tend to choose the least used resource based on available information. A common but harmful dynamical behavior in resource-allocation systems is herding, where there are time intervals during which a large majority of the agents compete for a few resources, leaving many other resources unused. Ac- companying the herd behavior is thus strong fluctuations with time in the number of resources being used. In this paper, we articulate and establish that an intuitive control strategy, namely pinning control, is effective at harnessing the herding dynamics. In particular, by fixing the choices of resources for a few agents while leaving majority of the agents free, herding can be eliminated completely. Our investigation is systematic in that we consider random and targeted pinning and a variety of network topologies, and we carry out a comprehensive analysis in the framework of mean-field theory to understand the working of control. The basic philosophy is then that, when a few agents waive their freedom to choose resources by receiving sufficient incentives, majority of the agents benefit in that they will make fair, efficient, and effective use of the available resources. Our work represents a basic and general framework to address the fundamental issue of fluctuations in complex dynamical systems with significant applications to social, economical and political systems.
Study of family environmental factor on only-children’s personality  [PDF]
Yi-Xiao Fu, Xiao Hou, Lu Jia, Tian Qiu, Qing Qin, Hua-Qing Meng, Yi Huang, Xiaohong Ma, Wei Deng, Qing-Hua Luo, Ying-Cheng Wang, Hua Hu, Lian Du, Hait-Ang Qiu, Peng Xie, Tao Li
Health (Health) , 2013, DOI: 10.4236/health.2013.53A075
Abstract: Objective: To analyze the impact of family environment on only-children’s personality. Methods: Using cross-sectional design to recruit only-children aged 6 - 16 years old; using EPQ to evaluate the children’s personality. The general questionnaire, PSDQ (Parenting Styles and Dimensions Questionnaire), FAD-GFS (The General Functioning Scale of MacMaster family activity device), SLE(Stressful Life Events), FSQ (Family Stresses Questionnaire), FLQ (Family Life Questionnaire), EFQ (Everyday Feelings Questionnaire) were used to collect information about family environment from parents. Results: In only-child family, standardized regression equations of family environment influence on children personality include: 1) EPQ-p = 0.087 × SLE + 0.207 × father autocratic parenting + 0.131 × education of father + 0.110 × family type - 0.110 × role of discipline - 0.080 × parental attitude + 0.087 × family adaptability; 2) EPQ-e = 0.105 × EFQ- 0.088 × SLE - 0.101 × family income; 3) EPQ-n = 0.143 × SLE - 0.090 × family cohesion + 0.089 × family income + 0.117 × the orderly’s attitude - 0.138 × the child’s role experience of FLQ - 0.101 × parents shaping the behavior of children of FLQ and 4) EPQ - l = -0.136× SLE - 0.093 × relationship between parents - 0.155 × attitude of the old. Conclusion: It is important for children to develop personality normally if the father doesn’t choose autocratic parent style. Children tend to be optimistic if the parent can feel happy. The stressful life events are a double-blade sword depending on the parent’s handling. The difference of the parenting style can influence the lie-personality of children.
Control and controllability of nonlinear dynamical networks: a geometrical approach
Le-Zhi Wang,Ri-Qi Su,Zi-Gang Huang,Xiao Wang,Wenxu Wang,Celso Grebogi,Ying-Cheng Lai
Physics , 2015,
Abstract: In spite of the recent interest and advances in linear controllability of complex networks, controlling nonlinear network dynamics remains to be an outstanding problem. We develop an experimentally feasible control framework for nonlinear dynamical networks that exhibit multistability (multiple coexisting final states or attractors), which are representative of, e.g., gene regulatory networks (GRNs). The control objective is to apply parameter perturbation to drive the system from one attractor to another, assuming that the former is undesired and the latter is desired. To make our framework practically useful, we consider RESTRICTED parameter perturbation by imposing the following two constraints: (a) it must be experimentally realizable and (b) it is applied only temporarily. We introduce the concept of ATTRACTOR NETWORK, in which the nodes are the distinct attractors of the system, and there is a directional link from one attractor to another if the system can be driven from the former to the latter using restricted control perturbation. Introduction of the attractor network allows us to formulate a controllability framework for nonlinear dynamical networks: a network is more controllable if the underlying attractor network is more strongly connected, which can be quantified. We demonstrate our control framework using examples from various models of experimental GRNs. A finding is that, due to nonlinearity, noise can counter-intuitively facilitate control of the network dynamics.
University-Industry Business Incubators in Taiwan  [PDF]
Wen-Bo Wang, Ying-Cheng Hung, Chu-Ching Wang
Open Journal of Business and Management (OJBM) , 2013, DOI: 10.4236/ojbm.2013.11001
Abstract: According to World Economic Forum data, if an area’s average income per capita is over 9000 US dollars, then knowledge and technological innovation will be the most important forces driving its economic growth. In Taiwan 98% of the companies are small and medium enterprises (SMEs), and they play a fundamental role in the sustainable development of Taiwan’s economy, but due to limited funding, very few of them have established research and development (R&D) departments. Over 70% of the R & D resources in Taiwan are held by universities, which have become hubs for new knowledge and technologies. Through university-industry collaboration, original and breakthrough ideas, inventions, and innovations are systematically channeled from universities into industrial applications and used to develop an entrepreneurial economy. This method has been proven effective in many developing countries. This paper examines how the government policy helps university incubators enhance R & D ability and subsequently promote production efficiency and product quality.
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