The Study of the significance of Fintech to the development of risk management

This dissertation aims to explore the significance of Fintech to the development of risk management. In order to reach this research objective, the process of the research is designed to compare the risk values between Fintech companies and traditional financial institutions. The secondary data is collected from a database and is tested through independent samples t-test in SPSS. The result comes out that there is no distinct effect of Fintech on the development of risk management. There are three possible reasons to illustrate this outcome. Firstly, the entire effect of Fintech is not clearly shown might because the effects on risk management are eliminated mutually between Fintech and new risks. This can be illustrated that Fintech has positive effect on risk management through building new system while it can also bring new risks, which makes no effect on risk management as a whole. Secondly, the declined importance of credit risk might be one of the reasons that lead to no effect on risk management for Fintech as other risks might have more effect occupying the significant position of credit risk in financial industry. Thirdly, many Fintech companies seek for popular technology that might be not appropriate with current business. This might lead to barriers of development of technology as well as the risk management. Although the result shows no distinct effect of Fintech on risk management, Fintech is still expected to develop well with a number of opportunities

Collaborative Governance for Responsible Innovation in the Context of Sharing Economy:Studies on the Shared Bicycle Sector in China

The shared bicycle sector is a new type of rental business that combines the sharing economy with technology platforms. With its convenience, efficiency and low cost, the business has become popular in China. However, alongside the development of the shared bicycle industry, the increasing number of products, lack of governance, distrust between companies and users cause problems due to irresponsibility. This paper focuses on the governance of the shared bicycle sector, with the aim of achieving responsible innovation through a collaboration among stakeholders. Through case studies on two cities in China, the paper identifies government policies in the traditional context of hard-law regulation, and in the new context of multi-collaborative governance. The roles of government, industry and society are specified in the innovation ecosystem and are linked with the key dimensions of responsible innovation, anticipation, reflectiveness, inclusiveness and responsiveness. Based on the findings, a model is proposed, suggesting the new government roles of alliance facilitator and platform coordinator. Finally, our recommendations for the improvement of the shared bicycle sector are made and areas for future research are discussed

Molecular Joint Representation Learning via Multi-modal Information

In recent years, artificial intelligence has played an important role on accelerating the whole process of drug discovery. Various of molecular representation schemes of different modals (e.g. textual sequence or graph) are developed. By digitally encoding them, different chemical information can be learned through corresponding network structures. Molecular graphs and Simplified Molecular Input Line Entry System (SMILES) are popular means for molecular representation learning in current. Previous works have done attempts by combining both of them to solve the problem of specific information loss in single-modal representation on various tasks. To further fusing such multi-modal imformation, the correspondence between learned chemical feature from different representation should be considered. To realize this, we propose a novel framework of molecular joint representation learning via Multi-Modal information of SMILES and molecular Graphs, called MMSG. We improve the self-attention mechanism by introducing bond level graph representation as attention bias in Transformer to reinforce feature correspondence between multi-modal information. We further propose a Bidirectional Message Communication Graph Neural Network (BMC GNN) to strengthen the information flow aggregated from graphs for further combination. Numerous experiments on public property prediction datasets have demonstrated the effectiveness of our model

Crystal Structure Manipulation of the Exchange Bias in an Antiferromagnetic Film

Exchange bias is one of the most extensively studied phenomena in magnetism, since it exerts a unidirectional anisotropy to a ferromagnet (FM) when coupled to an antiferromagnet (AFM) and the control of the exchange bias is therefore very important for technological applications, such as magnetic random access memory and giant magnetoresistance sensors. In this letter, we report the crystal structure manipulation of the exchange bias in epitaxial hcp Cr2O3 films. By epitaxially growing twined (10-10) oriented Cr2O3 thin films, of which the c axis and spins of the Cr atoms lie in the film plane, we demonstrate that the exchange bias between Cr2O3 and an adjacent permalloy layer is tuned to in-plane from out-of-plane that has been observed in (0001) oriented Cr2O3 films. This is owing to the collinear exchange coupling between the spins of the Cr atoms and the adjacent FM layer. Such a highly anisotropic exchange bias phenomenon is not possible in polycrystalline films.Comment: To be published in Scientific Reports, 12 pages, 6 figure

Influence of friction coefficient on rubbing behavior of oil bearing rotor system

The failure occurred frequently when rubbing, especially when the rotating machinery worked in abnormal conditions. The research of friction coefficient on rubbing behavior was not much. The model of rubbing rotor system was established. The rubbing characteristics of the different friction coefficient were compared and analyzed. The results showed the friction coefficient had no effect on motion of period 1, period 2 and period-doubling bifurcation, when rotating speed was low. With the increase of the friction coefficient, the chaotic motion transformed into quasi-periodic, and period N motion when rotating speed was in 760-820 rad/s. The chaotic motion disappeared when rotating speed was in 1260-1400 rad/s, and the zone of quasi-periodic motion was expanding

Threshold dynamics and bifurcation of a state-dependent feedback nonlinear control SIR model

A classic SIR model with nonlinear state-dependent feedback control is proposed and investigated in which integrated control measures, including vaccination, treatment and isolation, are applied once the number of the susceptible population reaches a threshold level. The interventions are density dependent due to limitations on the availability of resources. The existence and global stability of the disease free periodic solution (DFPS) are addressed, and the threshold condition is provided which can be used to define the control reproduction number Rc for the model with state-dependent feedback control. The DFPS may also be globally stable even if the basic reproduction number R0 of the SIR model is larger than one. To show that the threshold dynamics are determined by the Rc, we employ bifurcation theories of the discrete one-parameter family of maps, which are determined by the Poincare map of the proposed model, and the main results indicate that under certain conditions a stable or unstable interior periodic solution could be generated through transcritical, pitchfork and backward bifurcations. A biphasic vaccination rate (or threshold level) could result in an inverted U-shape (or U-shape) curve which reveals some important issues related to disease control and vaccine design in bioengineering including vaccine coverage, efficiency and vaccine production. Moreover, the nonlinear state-dependent feedback control could result in novel dynamics including various bifurcations