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Ethnic Ties in US Venture Capital Stage Financing
Na Ding 한국증권학회 2018 Asia-Pacific Journal of Financial Studies Vol.47 No.2
This paper examines the effect of ethnic ties on venture capital (VC) stage financing in the US market. After dealing with the endogeneity problem, the paper shows that VC investors who share ethnicity with an entrepreneur tend to finance the company using a smaller number of rounds, longer durations between successive rounds, and a larger amount in each round. The effect is more pronounced when the startup company and the VC firm are not located in the same city or the VCs lack industry-specific expertise. My findings also suggest that such trust due to co-ethnicity leads to bad investment performance.
Synchronization for a Class of Fractional-order Linear Complex Networks via Impulsive Control
Na Liu,Jie Fang,Wei Deng,Zhen-Jun Wu,Guo-Qiang Ding 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.6
Up to now, the research topic about fractional-order complex networks is mainly focused on the synchronization. In this paper, synchronization for a class of fractional-order linear complex networks is realized via impulsive control. The general expression of solution for a fractional-order impulsive error system is deduced by utilizing iteration algorithm. Some inequality conditions are established to guarantee that the largest Lyapunov exponents of each node are negative, which means that the corresponding error system is asymptotic stable and synchronization is realized. It is the first time to achieve the synchronization of fractional-order systems based on the largest Lyapunov exponent. Finally, examples are present to illustrate the validity and effectiveness of proposed conclusions. Numerical simulations also indicate that the fractional-order parameter has a great influence on the largest Lyapunov exponent, although it is not reflected in the theoretical analysis.
Quantitative evaluation of through-thickness rectangular notch in metal plates based on lamb waves
Na Zhao,Bin Wu,Xiucheng Liu,Keqin Ding,Yanan Hu,Mahmoud Bayat 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.71 No.6
Lamb wave technology is a promising technology in the field of structural health monitoring and can be applied in the detection and monitoring of defects in plate structures. Based on the reconstruction algorithm for the probabilistic inspection of damage (RAPID), a Lamb-based detection and evaluation method of through-thickness rectangular notches in metal plates was proposed in this study. The influences of through-thickness rectangular notch length and the angle between sensing path and notch length direction on signals were further explored through simulations and experiments. Then a damage index calculation method which focuses on both phase and amplitude difference between detected signals and baseline signals was proposed. Based on the damage index difference between two vertically crossed sensing paths which pass through the notch in a sensor network, the notch direction identification method was proposed. In addition, the notch length was determined based on the damage index distribution along sensing paths. The experimental results showed that the image reconstructed with the proposed method could reflect the information for the evaluation of notches.
Development of Predictive Model for the Growth of Staphylococcus aureus in Kimbab
Tian Ding,Young-Hwan Shim,Ha-Na Kim,오덕환,하상도,정명섭,In-Gyun Hwang 한국식품과학회 2011 Food Science and Biotechnology Vol.20 No.2
This study was conducted to develop predictive models for the growth of Staphylococcus aureus in kimbab as a function of storage temperatures (7, 10, 12, 14, 16, 20,25, and 30^oC). The growth data were fitted into the modified Gompertz model and the Logistic model, and the goodness-of-fit of primary models was compared using determination of coefficient, mean square error, and Akaike’s information criterion. The modified Gompertz model was found to be more suitable to describe the growth data. Therefore, the growth rate (GR) and lag time (LT) obtained from the modified Gompertz model were employed to establish the secondary models. The newly developed models were validated using root mean square error (RMSE), bias factor (B_f), and accuracy factor (A_f). The results showed that RMSE<0.20 and Bf and A_f values were within the reliable range, which indicated that the presented predictive models can be used to assess the risk of S. aureus infection in kimbab.