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Jinhua, China

Zhejiang Normal University is located at the cultural historical city of Jinhua in the central part of Zhejiang Province. The city links Shanghai and Hangzhou to the north, and Guangdong and Fujian provinces to the south. The University is next to a national scenic spot—the Shuanglong Cave, and covers a total area of more than 220 hectares with a total floor space of more than one million square meters. Its green and beautiful campus furnishes an ideal place for living, study and work. Wikipedia.


Zhou Y.,Zhejiang Normal University
Nonlinearity | Year: 2010

In this paper we consider a family of one-dimensional shallow water equations (the Holm-Staley b-family of equations) derived recently by Holm and Staley (2003 Phys. Lett. A 308 437-44). Analogous to the Camassa-Holm equation, these new equations admit blow-up phenomenon and infinite propagation speed. First, we establish blow-up results for this family of equations under various classes of initial data. It turns out that it is the shape instead of the size and smoothness of the initial data which influences breakdown in finite time. Then, infinite propagation speed for the Holm-Staley b-family of equations is proved in the following sense: the corresponding solution u(x, t) with compactly supported initial datum u0(x) does not have a compact x-support any longer in its lifespan. Moreover, we show that for any fixed time t > 0 in its lifespan, the corresponding solution u(x, t) behaves as u(x, t) = L(t)e -x for x ≫ 1 and u(x, t) = l(t)ex for x ≪ -1, with a strictly increasing function L(t) > 0 and a strictly decreasing function l(t) < 0, respectively. © 2010 IOP Publishing Ltd and London Mathematical Society. Source


Lucky S.S.,National University of Singapore | Soo K.C.,National Cancer Center Singapore | Zhang Y.,National University of Singapore | Zhang Y.,Zhejiang Normal University
Chemical Reviews | Year: 2015

The application of nanoparticles in photodynamic therapy (PDT) has been a major stride forward in resolving some of the challenges associated with classic photosensitizer (PS). These nanoparticles are very versatile due to the existence of a variety of polymers and manufacturing methods, and thus the chemical composition and architecture of the nanoparticles can be customized to accommodate PSs with varying degrees of hydrophobicity, molecular weight, or charge. Furthermore, the surface properties, morphologies, and compositions of polymeric matrices can be easily optimized to achieve controlled degradation of the polymer and drug release kinetics. PDT using upconversion nanoparticles (UCNs) doped with PS is becoming the new sensation in the field with clear advantages over most other nanoparticles. UCNs act both as carriers of PS as well as enables indirect excitation of the accompanying PS with upconverted light upon excitation with low energy NIR light. The future of PDT lies in the development of a single versatile and efficient nanoparticle that encompasses its applicability in both bioimaging as well as PDT. Source


He Y.,Zhejiang Normal University | Zhou W.,Center for Neutron Research | Zhou W.,University of Maryland University College | Qian G.,Zhejiang University | Chen B.,University of Texas at San Antonio
Chemical Society Reviews | Year: 2014

Natural gas (NG), whose main component is methane, is an attractive fuel for vehicular applications. Realization of safe, cheap and convenient means and materials for high-capacity methane storage can significantly facilitate the implementation of natural gas fuelled vehicles. The physisorption based process involving porous materials offers an efficient storage methodology and the emerging porous metal-organic frameworks have been explored as potential candidates because of their extraordinarily high porosities, tunable pore/cage sizes and easily immobilized functional sites. In this view, we provide an overview of the current status of metal-organic frameworks for methane storage. This journal is © the Partner Organisations 2014. Source


He Y.,Zhejiang Normal University | Li B.,University of Texas at San Antonio | O'Keeffe M.,Arizona State University | Chen B.,University of Texas at San Antonio
Chemical Society Reviews | Year: 2014

Metal-organic frameworks (MOFs), also known as porous coordination polymers (PCPs), are an emerging type of porous materials which are formed by the self-assembly of metallic centers and bridging organic linkers. Design and synthesis of organic linkers are very critical to target MOFs with desired structures and properties. In this review, we summarize and highlight the recent development of porous MOFs that are constructed from the multicarboxylate ligands containing m-benzenedicarboxylate moieties, and their promising applications in gas storage and separation, heterogeneous catalysis and luminescent sensing. This journal is © the Partner Organisations 2014. Source


Mo Y.,Zhejiang Normal University
IEEE Transactions on Reliability | Year: 2014

Dynamic fault trees (DFTs) have been used for many years because they can easily provide a concise representation of the dynamic failure behaviors of general non-repairable fault tolerant systems. However, when repeated failure events appear in real-life DFT models, the traditional modularization-based DFT analysis process can still generate large dynamic subtrees, the modeling of which can lead to a state explosion problem. Examples of these kinds of large dynamic subtrees abound in models of real-world dynamic software and embedded computing systems integrating with various multi-function components. This paper proposes an efficient, multiple-valued decision-diagram (MDD)-based DFT analysis approach for computing the reliability of large dynamic subtrees. Unlike the traditional modularization methods where the whole dynamic subtree must be solved using state-space methods, the proposed approach restricts the state-space method only to components associated with dynamic failure behaviors within the dynamic subtree. By using multiple-valued variables to encode the dynamic gates, a single compact MDD can be generated to model the failure behavior of the overall system. The combination of MDD and state-space methods applied at the component or gate level helps relieve the state explosion problem of the traditional modularization method, for the problems we explore. Applications and advantages of the proposed approach are illustrated through detailed analyses of an example DFT, and through two case studies. © 2014 IEEE. Source

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