Along with the history of the development of financial regulation, we can see that the theory of evolution has experienced from financial liberalization to financial supervision, financial regulation, then to the stag...Along with the history of the development of financial regulation, we can see that the theory of evolution has experienced from financial liberalization to financial supervision, financial regulation, then to the stage both with the safety and efficiency of financial supervision ; development of the theory of financial regulation experienced the theory of financial supervision represented by classical economics and neo- classical economic theory, to the Keynesian theory and financial repression theory, financial fragility hypothesis, the progressive liberalization of the financial road, then to the financial regulatory theory, regulatory function theory concept, regulatory incentives theory under the framework of economics of information in the 1990s. You can see the way scholars will not have feared in the study of financial regulation, and each theory proposed has its special significance in the special economic and financial environment at the time, and we can not necessarily say what kind of theory is advanced in other theory.展开更多
A new model used to calculate the free energy change of protein unfolding is presented. In this model, proteins are considered to be composed of structural elements. The unfolding of a structural element obeys a two-s...A new model used to calculate the free energy change of protein unfolding is presented. In this model, proteins are considered to be composed of structural elements. The unfolding of a structural element obeys a two-state mechanism and the free energy change of the element can be obtained by a linear extrapolation method. If a protein consists of the same structural elements, its unfolding will displays a two-state process, and only the average structural element free energy change 〈△G0 element(H2O)〉 can be measured. If protein consists of completely different structural elements, its unfolding will show a multi-state behavior. When a protein consists of n structural elements its unfolding will shows a (n+1)-state behavior. A least-squares fitting can be used to analyze the contribution of each structural element to the protein and the free energy change of each structural element can be obtained by using linear extrapolation to zero denaturant concentration, not to the start of each transition. The measured △Gn protein(H2O) is the sum of the free energy change for each structural element. Using this new model, we can not only analyze the stability of various proteins with similar structure and similar molecular weight, which undergo multi-state unfolding processes, but also compare the stability of proteins with different structures and molecular weights using the average structural element free energy change 〈△G0 element(H2O)〉. Although this method cannot completely provide the exact free energy of proteins, it is better than current methods.展开更多
Rod-like molecules confined on a spherical surface can organize themselves into nematic liquid crystal phases. This can give rise to novel textures displayed on the surface, which has been observed in experiments. An ...Rod-like molecules confined on a spherical surface can organize themselves into nematic liquid crystal phases. This can give rise to novel textures displayed on the surface, which has been observed in experiments. An important theoretical question is how to find and predict these textures. Mathematically, a stable configuration of the nematic fluid corresponds to a local minimum in the free energy landscape. By applying Taylor expansion and Bingham approximation to a general molecular model, we obtain a closed-form tensor model, which gives a free energy form that is different from the classic Landau-de Gennes model. Based on the tensor model, we implement an efficient numerical algorithm to locate the local minimum of the free energy. Our model successfully predicts the splay, tennis-ball and rectangle textures. Among them, the tennis-ball configuration has the lowest free energy.展开更多
文摘Along with the history of the development of financial regulation, we can see that the theory of evolution has experienced from financial liberalization to financial supervision, financial regulation, then to the stage both with the safety and efficiency of financial supervision ; development of the theory of financial regulation experienced the theory of financial supervision represented by classical economics and neo- classical economic theory, to the Keynesian theory and financial repression theory, financial fragility hypothesis, the progressive liberalization of the financial road, then to the financial regulatory theory, regulatory function theory concept, regulatory incentives theory under the framework of economics of information in the 1990s. You can see the way scholars will not have feared in the study of financial regulation, and each theory proposed has its special significance in the special economic and financial environment at the time, and we can not necessarily say what kind of theory is advanced in other theory.
基金supported by the National Natural Science Foundation of China (20771068 and 20901048)the PhD Programs Foundation of the Ministry of Education of China (20091401110007)
文摘A new model used to calculate the free energy change of protein unfolding is presented. In this model, proteins are considered to be composed of structural elements. The unfolding of a structural element obeys a two-state mechanism and the free energy change of the element can be obtained by a linear extrapolation method. If a protein consists of the same structural elements, its unfolding will displays a two-state process, and only the average structural element free energy change 〈△G0 element(H2O)〉 can be measured. If protein consists of completely different structural elements, its unfolding will show a multi-state behavior. When a protein consists of n structural elements its unfolding will shows a (n+1)-state behavior. A least-squares fitting can be used to analyze the contribution of each structural element to the protein and the free energy change of each structural element can be obtained by using linear extrapolation to zero denaturant concentration, not to the start of each transition. The measured △Gn protein(H2O) is the sum of the free energy change for each structural element. Using this new model, we can not only analyze the stability of various proteins with similar structure and similar molecular weight, which undergo multi-state unfolding processes, but also compare the stability of proteins with different structures and molecular weights using the average structural element free energy change 〈△G0 element(H2O)〉. Although this method cannot completely provide the exact free energy of proteins, it is better than current methods.
基金supported by National Natural Science Foundation of China(Grant Nos.21274005 and 50930003)
文摘Rod-like molecules confined on a spherical surface can organize themselves into nematic liquid crystal phases. This can give rise to novel textures displayed on the surface, which has been observed in experiments. An important theoretical question is how to find and predict these textures. Mathematically, a stable configuration of the nematic fluid corresponds to a local minimum in the free energy landscape. By applying Taylor expansion and Bingham approximation to a general molecular model, we obtain a closed-form tensor model, which gives a free energy form that is different from the classic Landau-de Gennes model. Based on the tensor model, we implement an efficient numerical algorithm to locate the local minimum of the free energy. Our model successfully predicts the splay, tennis-ball and rectangle textures. Among them, the tennis-ball configuration has the lowest free energy.